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Review

CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration

by
Rahul Pandey
1,
Marina Bakay
1 and
Hakon Hakonarson
1,2,*
1
Center for Applied Genomics, Children’s Hospital of Philadelphia, Abramson Research Center, 3615 Civic Center Boulevard, Philadelphia, PA 19104-4318, USA
2
Department of Pediatrics, The University of Pennsylvania School of Medicine, Philadelphia, PA 19104-4318, USA
*
Author to whom correspondence should be addressed.
Int. J. Mol. Sci. 2023, 24(9), 8224; https://doi.org/10.3390/ijms24098224
Submission received: 30 March 2023 / Revised: 25 April 2023 / Accepted: 26 April 2023 / Published: 4 May 2023
(This article belongs to the Special Issue Genes and Human Diseases)
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Abstract

:
CLEC16A is emerging as an important genetic risk factor for several autoimmune disorders and for Parkinson disease (PD), opening new avenues for translational research and therapeutic development. While the exact role of CLEC16A in health and disease is still being elucidated, the gene plays a critical role in the regulation of autophagy, mitophagy, endocytosis, intracellular trafficking, immune function, and in biological processes such as insulin secretion and others that are important to cellular homeostasis. As shown in both human and animal modeling studies, CLEC16A hypofunction predisposes to both autoinflammatory phenotype and neurodegeneration. While the two are clearly related, further functional studies are needed to fully understand the mechanisms involved for optimized therapeutic interventions. Based on recent data, mitophagy-inducing drugs may be warranted, and such therapy should be tested in clinical trials as these drugs would tackle the underlying pathogenic mechanism (s) and could treat or prevent symptoms of autoimmunity and neurodegeneration in individuals with CLEC16A risk variants. Accordingly, interventions directed at reversing the dysregulated mitophagy and the consequences of loss of function of CLEC16A without activating other detrimental cellular pathways could present an effective therapy. This review presents the emerging role of CLEC16A in health and disease and provides an update on the disease processes that are attributed to variants located in the CLEC16A gene, which are responsible for autoimmune disorders and neurodegeneration with emphasis on how this information is being translated into practical and effective applications in the clinic.

1. Introduction

CLEC16A is implicated in multiple autoimmune diseases and in the pathogenesis of Parkinson’s disease (PD). The shared association of CLEC16A in these diverse inflammatory, autoimmune, and neurodegenerative diseases suggests that CLEC16A could be a critical regulator of broad biological processes involving autoimmune responses and neurodegeneration. Mitochondrial dysfunction, persistent ER stress, oxidative stress, inflammation, and altered lipid metabolism, all of which have been attributed to loss of function variants in CLEC16A, appear to be the key mechanisms involved in the pathogenesis of these diseases. As a consequence, CLEC16A has become an attractive candidate for functional studies to explore the pathogenic mechanisms and potential therapeutic options. Autoimmune diseases develop as a consequence of a synergistic combination of genetic predisposition, largely unknown environmental triggers, and immunologic events. Formerly, KIAA0350, now known as CLEC16A, was identified as a type 1 diabetes susceptibility locus in 2007 [1]. In addition, GWAS has shown that CLEC16A is associated with multiple autoimmune diseases, including multiple sclerosis, primary adrenal insufficiency, systemic lupus erythematosus, celiac disease, Crohn’s disease, and rheumatoid arthritis, as well as PD. Additional research is required to determine the specific variants that cause the observed effects in the 16p13 gene region. Given the presence of multiple potential effectors and/or modifying genes at the locus, further detailed mapping, and functional investigations of the 16p13 region are warranted.
Studies have shown that CLEC16A is involved in endosomal trafficking [2,3], autophagy [4,5], mitophagy [6], HLA-II antigen presentation [7,8,9], thymic selection [4], and NK cell function [10,11]. A global knockout of CLEC16A in mice leads to abnormal mitophagy, upregulated inflammatory cytokine response, and increased risk of autoimmunity [12]. Interestingly, the knockout mice also develop severe neurological phenotypes with impaired gait and dystonic postures [13]. This is consistent with previous observations in two other mouse strains carrying independent constitutive CLEC16A mutations [14]. Here, we review the emerging role of CLEC16A in autoimmune disorders and neurodegeneration. This article examines the identification of susceptibility variants located in the CLEC16A gene region, as well as the biological function of the CLEC16A. A susceptibility variant is a genetic variation that implies an elevated risk of developing a disease. However, having a genetic susceptibility does not necessarily result in the individual contracting the disease as lifestyle and environmental factors also influence the risk. Additionally, the article discusses recent advancements in the understanding of the implications of these findings to autoimmune disorders and neurodegeneration. Finally, we review opportunities that focus on the development of repurposed drugs with modulatory effects on mitophagy and inflammatory signaling pathways, aiming at compensating for the attenuated CLEC16A activity and presenting future candidate opportunities for targeted interventions involving autoimmune and neurodegenerative disorders, such as PD.

2. CLEC16A (16p13)—An Autoimmune Candidate Gene

In 2007, we first identified the region mapping to KIAA0350 (now called C-type lectin-like domain family 16A (CLEC16A) as a novel type 1 diabetes (T1D) susceptibility locus within a 238-kb linkage disequilibrium (LD) block located on chromosome 16p13 [1]. The human CLEC16A gene consists of 24 exons and encodes three different splice variants, two long isoforms expressed from all 24 exons or from 23 exons, and a shorter 21-exon transcript variant that encodes a protein with a truncated C terminus (https://www.ncbi.nlm.nih.gov/nuccore/NM_015226, accessed on 14 April 2023). The chromosome 16p13.13 locus ~530 kb long region harbors four genes (CIITA-DEXI-CLEC16A-SOCS1) (Figure 1). CLEC16A is flanked by two neighboring genes: CIITA, which is required for the expression of MHC Class II; and SOCS1, a negative modulator of cytokine signaling. The 16p13 genetic locus is also comprised of DEXI, a gene of unknown function and activated by immune suppressors.
CLEC16A was initially considered to be the primary T1D susceptibility gene within the locus, as most of the disease-associated SNPs reside within its 238 kb gene. There has been debate regarding the causal T1D gene within the chromosome 16p13.13 locus. Functional assessments of DEXI have been limited to date [15,16]. Using the loss of function approach in NOD (non-obese diabetic) mice, Nieves-Bonilla et al. addressed the T1D causality (CLEC16A vs. DEXI) within the 16p13.13 locus [17]. The authors demonstrate that DEXI does not affect the risk of developing diabetes. This suggests that CLEC16A, not DEXI, is the etiological T1D gene within chromosome region 16p13.13. Emerging data further supports the functional and multi-system role of CLEC16A in various cell types of importance to T1D.
The risk loci, CIITA-DEXI-CLEC16A-SOCS1, are shared among autoimmune diseases [18,19]. SOCS1 and CIITA have established roles in inflammation and autoimmunity [20,21,22]. SOCS1, a negative modulator of cytokine signaling, is important for immune cell homeostasis and the regulation of inflammation [23,24]. Gene variants in the 5’ untranslated region (UTR) of SOCS1 (rs243324 and rs441349) have been identified in cytokine pathway gene screenings as multiple sclerosis (MS) susceptibility variants [19,25]. Many questions still remain unanswered regarding the specific molecular mechanisms and tissue-specific contributions by which CLEC16A contributes to autoimmunity. The emerging role of CLEC16A in autophagy, mitophagy, and immune regulation makes it an ideal candidate to be explored as a potential druggable target in CLEC16A-associated pathologies.
CLEC16A belongs to the C-type lectin (CLEC) protein family. CLEC proteins play a crucial role in regulating adaptive immune responses by identifying antigens through their carbohydrate recognition domain and transporting them to the surface of antigen-presenting cells (APCs) via the endosomal system. However, unlike other CLEC proteins, CLEC16A does not have an active or full-length carbohydrate recognition domain. Instead, it functions as an E3-ubiquitin ligase and is involved in regulating autophagy [3] and mitophagy [6]. The full-length CLEC16A gene encodes a large 1053 amino acids protein. Besides the atypical C-type lectin-like domain (CTLD), CLEC16A protein contains an immunoreceptor tyrosine-based activation motif (ITAM), a trans-membrane (TM) region, and an N-terminal highly conserved and uncharacterized FPL motif [26]). Recently, it was discovered that the C terminus of CLEC16A, which does not share homology with known protein domains, is an intrinsically disordered protein region (IDPR) [27]. IDPRs are known to support critical biological functions, including signal transduction, protein complex assembly, and protein stability [28,29]. However, their mechanistic roles in disease are still poorly understood. Recent studies reported that the CLEC16A’s C-terminal IDPR is critical for the assembly of the mitophagy regulatory machinery, and in-vivo loss impairs mitochondrial function and glucose-stimulated insulin secretion [27]. This implies that the pathogenic human gene variants that disrupt IDPRs are novel contributors to diabetes and CLEC16A-associated diseases.

3. CLEC16A in Health and Diseases through GWAS

The landscape of genetic research for complex common diseases underwent a drastic transformation in the mid-2000s with the introduction of genome-wide association studies (GWAS), which significantly accelerated the pace and efficiency of identifying susceptibility loci. The breakthrough was laid by the HapMap project [30,31]. By testing up to millions of variants in a hypothesis-free context, GWAS has empowered scientists to discover novel susceptibility loci for human diseases, including cancer, neurodegenerative, cardiac, infectious, inflammatory, and autoimmune diseases.
The first full-scale GWAS for T1D was published by our group [1] and the Wellcome Trust Case-Control Consortium (WTCCC) simultaneously [32]. We identified CLEC16A as a novel T1D susceptibility gene and reported three common non-coding variants that reached genome-wide significance (rs2903692, rs725613, and rs17673553). This finding was confirmed for T1D in the European descent populations [33,34]. To date, several SNPs within the CLEC16A gene show association with T1D in several populations such as Sardinian [35], Spanish [36], south-east USA [37], Chinese [38,39], Japanese [40], and adult-onset of autoimmune diabetes [41].
The CLEC16A locus is now associated with the susceptibility to 18 autoimmune diseases (Figure 2) depicted in a timeline through GWAS and meta-analysis, including type1 diabetes (T1D) [1,32,33,34,35,36,38,39,40,41,42,43,44,45], multiple sclerosis (MS) [18,19,35,36,46,47,48,49,50,51,52,53,54,55,56,57,58], primary adrenal insufficiency (PAI) [59,60], systemic lupus erythematosus (SLE) [61,62,63,64], Crohn’s disease (CD) [65], selective immunoglobulin A deficiency (IgA) [66], alopecia areata (AA) [7,67], juvenile idiopathic arthritis (JIA) [68], rheumatoid arthritis (RA) [36,68], primary biliary cirrhosis (PBC) [69,70,71,72], asthma [73,74,75,76,77,78,79], allergic rhinitis (AR) [80,81], autoimmune thyroid diseases (ATD) [42,82], common variable immunodeficiency (CVID) [83], eosinophilic esophagitis (EE) [84], juvenile idiopathic arthritis (JIA) [68], selective IgA deficiency [66], Celiac disease [85], systemic sclerosis [86], and Parkinson’s disease (PD) [87,88].
Recent GWAS has associated CLEC16A with Parkinson’s disease, a well-characterized neurodegenerative disorder [87,88]. Parkinson’s is the second most common neurodegenerative disorder characterized by the loss of dopaminergic neurons in substantia nigra pars compacta causing clinical symptoms such as tremor, rigidity, bradykinesia, and postural instability. The majority of PD cases are sporadic and only about 15% of people with Parkinson’s have a family history of this disorder. Several monogenic forms of PD have been reported, including numerous genetic risk factors increasing the risk to develop PD. Familial cases of PD are caused by mutations in the SNCA (PARK1) [89], Parkin (PARK2) [90], DJ-1 (PARK7) [91], PINK1 (PARK6) [92], LRRK2 (PARK8) [93,94], ATP13A2 (PARK9), VPS13C [95,96,97] and GBA [98], all well-established single gene disorders. Most people develop the disease after age 60; however, 5–10% experience onset before the age of 50. Early-onset Parkinson’s disease (EOPD) is a mitochondrial disease (Nigral Mitochondrial Disease) caused by a loss of function mutations in the genes encoding PINK1 and Parkin. Both enzymes are functionally linked and together direct a neuroprotective mitochondrial quality control ensuring the elimination of damaged organelles from cells via the autophagy-lysosome system (i.e., mitophagy), which is lost in early-onset PD. Loss of function variants in CLEC16A show comparable neurodegenerative effects in our modeling studies as a consequence of mitochondrial death due to mitophagy/autophagy dysfunction [13]. The mitochondrial dysregulation results from loss of Parkin regulation, where CLEC16A interaction with NRDP1 is disrupted due to mutation variants in CLEC16A, and as a result, NRDP1’s regulation of keeping Parkin in check is lost with resulting mitochondrial death and subsequent mitophagy/autophagy dysfunction.
The identification of PD risk factors using classical methods such as gene mapping or candidate gene approaches is time-consuming and difficult. GWAS presents a hypothesis-free technology to facilitate gene discovery. A recent GWA study highlights 11 SNPs associated with PD mapped to genes (MS4A4E, DKKL1, MPV17L2, MIR499A, AGAP2, CLECL1, CLEC16A, MIR196A2, IL7R, INPP5D, and ZSWIM4) [87]. These genes encode proteins essentially involved in pathways related to PD, including neuroinflammation, peripheral immune response, apoptosis, endo-lysosomal system, mitochondrial function/morphology in humans and animal models, axon guidance, and autophagy. Fan et al. reported CLEC16A rs6498169 and rs7200786 to be associated with PD in the Han Chinese population [88]. The quantitative trait locus analysis suggests that the expression of CLEC16A could be influenced in two different ways. Specifically, rs6498169 may affect the expression by regulating splicing, while rs7200786 could affect both the expression and splicing of CLEC16A. GWAS PD association is supported by evidence of Parkin mutations in early-onset PD, the presence of α-synuclein-reactive T cells, and an association between their reactivity and preclinical/early PD, pointing to a connection between PD and autoimmunity [99].
In-vivo studies have demonstrated that PINK1/Parkin-regulated mitophagy can curtail innate immune responses, but if mitophagy malfunctions, it may enhance the STING pathway, resulting in an inflammatory phenotype that could eventually contribute to the loss of dopaminergic neurons [100]. It is worth highlighting the patients with Parkin mutations also exhibit components of innate immunity activation [100]. Parkin is a ubiquitin E3 ligase. Recent research suggests that mitochondrial dysfunction and immune responses are linked [13,101], implying the possibility of shared genetic pathways in the pathogenesis of Parkinson’s disease (PD) and autoimmune diseases (AIDs) [99,102]. Mitophagy impairment results in the progressive accumulation of defective mitochondria, leading to neuronal death and eventual neurodegeneration. CLEC16A is known to play a critical role in Nrdp1-PINK-Parkin-mediated mitophagy [6] and autophagy [2,3], and alterations in the CLEC16A expression may result in dysregulated/deficient mitophagy, increasing the likelihood of Parkinson’s disease. CLEC16A association to date with 18 autoimmune diseases, supports the hypothesis of shared pathways of autoimmune susceptibility. Figure 3 and Table 1 summarize the CLEC16A SNPs associated with all disorders reported to date in alphabetical order.

4. Biological Role of CLEC16A

4.1. Autophagy Regulation

CLEC16A has been found to play a role in the regulation of autophagy, an evolutionarily conserved process by which cells break down and recycle damaged or dysfunctional cellular components [3]. Autophagy is important for maintaining cellular homeostasis, and dysregulation of this process has been implicated in various diseases, including neurodegeneration, cancer, metabolic disorders, and autoimmunity [106,107,108]. Based on degraded cell components, some selective types of autophagy identified are mitophagy, ribophagy, reticulophagy, lysophagy, pexophagy, lipophagy, and glycophagy [106]. The regulation of autophagy is intricate and depends on several factors such as nutrient availability, cellular stress, energy status, a complex network of signaling pathways, and cellular factors. One of the primary negative regulators of autophagy is the mammalian target of the rapamycin (mTOR) signaling pathway. The activation of mTORC1 is triggered by various stimuli, including those mediated by growth factors, nutrients, and amino acids, as well as tuberous sclerosis complex 1/2-dependent and independent mechanisms [109,110,111]. The activity of mTOR is closely linked to fundamental cellular processes, including cell proliferation, differentiation, apoptosis, and autophagy. The understanding of the molecular mechanism that regulates the different phases of the autophagic process and its role in the development of diseases is still being explored.
The first evidence of CLEC16A biological function came from Drosophila (Drosophila melanogaster) ortholog-Ema, an endosomal protein known to promote autophagosomal growth and function through interactions with the class C Vps-HOPS complex, suggesting that the regulation of autophagosome morphogenesis may be a fundamental function of this gene family [2]. The ema mutant showed enlarged endosomal compartments with failed endosomal maturation and inhibition of lysosomal degradation. The human orthologue of ema, CLEC16A, rescued the Drosophila mutant demonstrating conserved function [2,3] for this protein.
The role of CLEC16A in immune cells was reported initially for T cells in MS [21]. The study explored the role of the different MS-associated SNPs (rs12708716, rs6498169, and rs7206912) within the 16p13 chromosomal region harboring the CIITA-DEXI-CLEC16A-SOCS1 gene complex in the whole-blood and thymic samples and suggested a possible regulatory role for non-coding CLEC16A SNPs and a common control mechanism for the expression of CLEC16A, SOCS1, and DEXI. Later, the same group reported CLEC16A polymorphism in intron 19 to be associated with higher expression of CLEC16A in CD4+ T cells [112]. CLEC16A was subsequently reported to be specifically located in Rab4a-positive recycling endosomes in T cells [113]. Knocking down CLEC16A in Jurkat cells led to reduced expression of the T cell receptor on the cell surface. However, this did not significantly affect the T cell activation response in-vitro in Jurkat cells or primary CD4(+) T cells in humans [113]. The role of CLEC16A through these studies in T cells is still enigmatic.
Another study coupled MS-associated genes to the regulation of human leukocyte antigen class II (HLA-II) with strong upregulation of CLEC16A. Mechanistically, CLEC16A participated in the molecular machinery of HLA-II positive late endosome formation and trafficking to perinuclear regions, involving the dynein motor complex and interaction with the HOPS complex, highlighting its role in recycling and late endosomal trafficking [9]. Endosomes are known to recycle the cargo to the plasma membrane via the trans-Golgi network or direct to late endosomes for degradation. CLEC16A serves as a direct regulator of the human leukocyte antigen class II pathway in antigen-presenting cells.
Schuster et al. utilized a lentiviral knock-down (KD) technique in the non-obese diabetic (NOD) mice model to demonstrate that inhibiting CLEC16A via silencing can protect against autoimmunity in T1D, which stands in contrast to the increased susceptibility to autoimmunity caused by reducing the expression of CLEC16A. In this study, disease protection was attributable to T cell hyporeactivity, which was secondary to changes in thymic epithelial cell (TEC) stimuli that drive thymocyte selection. The study indicated that T cell selection and reactivity were impacted by CLEC16A variation in thymic epithelium owing to CLEC16A’s role in TEC autophagy [4].
More recently, several studies described the role of CLEC16A in autophagic processes. CLEC16A was shown to have an inhibitory role in starvation-induced autophagy in human cells using ectopic expression and siRNA silencing, via delaying mTOR activation [5]. Cells that overexpressed CLEC16A became more sensitive to nutrient availability, leading to increased mTOR activity, which subsequently reduced LC3-mediated autophagy during nutrient deprivation. On the other hand, the absence of CLEC16A resulted in delayed mTOR activity upon nutrient sensing, leading to enhanced autophagy. CLEC16A was found in cytosolic vesicles and the Golgi, and the removal of nutrients resulted in stronger clustering within the Golgi, possibly positioning it advantageously to activate mTOR upon nutrient replenishment [5]. These findings suggest that CLEC16A located in the Golgi negatively regulates autophagy by modulating mTOR activity as depicted in Figure 4.
Another MS study investigated the role of CLEC16A in B cells. CLEC16A was co-expressed with surface class II-associated invariant chain peptides (CLIP) in human EBV-positive B cell lines (Raji B cells). Stable knockdown of CLEC16A in EBV-positive Raji B cells resulted in an upregulation of surface HLA-DR and CD74 (invariant chain), whereas CLIP was slightly but significantly reduced. However, in primary B cells, CLEC16A was only induced under CLIP-stimulating conditions in vitro and was predominantly expressed in CLIPhigh naive populations suggesting that CLEC16A participates in the B Cell Receptor (BCR)-dependent HLA-II pathway in human B cells and that this regulation is impaired during MS disease onset [8].
GWAS have demonstrated CLEC16A association with alopecia [7,67]. A recent study showed the importance of autophagy in alopecia areata (AA). Alopecia is considered an organ-specific autoimmune disease of the hair follicle with genetic background and involves an aberrant immune attack on the hair follicle resulting in hair loss. Impairment in autophagy has been implicated in the loss of immune tolerance in human AA [114]. Alopecia GWAS identified CLEC16A, STX17, and BCL2L11/BIM as risk factors. Using a C3H/HeJ mouse model, the authors showed the accumulation of the autophagy protein SQSTM1 in the hair follicles of AA mice. The C3H/HeJ mouse is an inbred laboratory strain that spontaneously develops an adult-onset disease that resembles adult-onset alopecia areata in humans [115]. p62/SQSTM1 was not altered in immune cells, suggesting that autophagic activity is inhibited in the hair follicles of AA mice. The protein Sequestosome 1 (p62/SQSTM1) is a classical selective autophagy receptor [116]. The inhibition of autophagy results in the accumulation of p62. The induction of autophagy with Tat-BECN1 peptide attenuated alopecia, while treatment with the autophagy blocker chloroquine promoted the disease, compared to untreated mice. Together, these findings suggest the involvement of impaired autophagy in the disease pathogenesis of alopecia [117]. By modulating autophagy, it may be possible to prevent or treat autoimmune and neurodegenerative disorders associated with CLEC16A dysfunction. However, the delineation of the molecular underpinnings and the identification of genetic and/or pharmacological interventions are still needed to develop safe and effective therapies.

4.2. Regulator of Mitophagy

Mitophagy, an evolutionary conserved cellular self-degradation of damaged or dysfunctional mitochondria, is crucial for mitochondria quality control and renewal, providing energy to cells, promoting neuronal survival, and supporting overall health. In contrast, impaired mitophagy can lead to the buildup of damaged mitochondria and disrupt cellular function, thereby contributing to the aging process and increasing the risk of neurodegenerative diseases associated with aging [118]. Thus, a better understanding of mitochondrial turnover mechanisms is a key requirement for the development of more efficient therapeutic strategies to battle numerous pathological conditions in humans. Cells possess several mitophagy mechanisms, and different stresses promote mitophagy in distinct cellular contexts. Mitophagy can be categorized into Parkin-dependent and Parkin-independent pathways, which may interact with each other to some extent [119,120,121].
We demonstrated the connection between CLEC16A and pancreatic β-cell function through mitophagy [6]. CLEC16A is a membrane-associated endosomal protein that interacts with E3 ubiquitin ligase Nrdp1. A pancreas-specific deletion of CLEC16A led to an increase in Parkin, the master regulator of mitophagy. Islets of mice with this pancreas-specific deletion (CLEC16AΔpanc) depict abnormal mitochondria with reduced oxygen consumption. Patients with the CLEC16A T1D risk allele, rs12708716 G, have reduced expression of CLEC16A in islets and attenuated insulin secretion, suggesting that CLEC16A controls β-cell function and prevents diabetes by controlling mitophagy. We postulate that a defect in insulin secretion is secondary to disrupted autophagy and would predispose beta cells to the autoimmune destruction that causes type 1 diabetes.
CLEC16A is an E3 ubiquitin ligase, along with RNF41/NRDP1 and USP8, which forms a tripartite complex and relies on ubiquitin for its function [122]. Maintenance of the CLEC16A-NRDP1-USP8 mitophagy complex is crucial for promoting optimal cellular respiration and insulin secretion. However, when faced with metabolic stressors associated with diabetes, such as high levels of glucose and fatty acids, the CLEC16A-RNF41-USP8 complex becomes destabilized and can lead to the death of β-cells. Another recent study additionally confirmed the above interaction of CLEC16A with NRDP1 also known as RNF41 [123]. CLEC16A-mediated mitophagy modulation is depicted in Figure 5.
Work from our ubiquitous whole-body, inducible CLEC16A knockout mice (CLEC16AΔUBC) revealed that incomplete mitophagy predisposes mice to a cascade of altered immune functions leading to pathogenic inflammation with hyperactive NK cells under dysregulated mitophagy settings [10]. We also showed that CLEC16A restrains natural killer (NK) cell function using an overexpression YTS NK cell line and CLEC16AΔUBC mice, indicating that a delicate balance of CLEC16A is needed for NK cell function and homeostasis, including cytokine release and cytotoxicity [11].
The NK cell lines, NKL and YTS, were used to assess the biological function of CLEC16A since they are homozygous for the protective (A/A) and non-protective (G/G) alleles (rs2903692-A), respectively. As expected, NKL had high CLEC16A expression and low cytotoxicity compared to YTS. Since CLEC16A SNPs were linked to protection against type 1 diabetes and NK cells have been associated with multiple autoimmune diseases, investigating the role of CLEC16A in NK cells could provide new insights into disease pathogenesis. While previous studies suggested that CLEC16A was a membrane-associated protein [2,3,6], our results indicate that it is a cytosolic protein in NK cells, which is consistent with its function to restrain cytolytic activity and cytokine secretion [11]. Protein expression analysis of CLEC16A in human immune cell types shows that B cells have the highest expression, followed by NK and T cells, results that are in concordance with the available microarray data [124,125]. This suggests that CLEC16A expression and action may be relevant in these cell types. NK cells can contribute both directly and indirectly to tissue and organ damage in autoimmune disorders due to their cytotoxic and cytokine-producing abilities. The essential role of bi-directional crosstalk between NK cells and dendritic cells (DCs) during immune responses has been elucidated in recent years [126,127,128], with further investigation ongoing. Disrupted mitophagy settings can lead to altered immune cell populations, increased killing, and upregulated cytokine/chemokine secretion, with a resulting imbalance in DC subsets, which may result in excessive cell death and tissue destruction. This may reflect the inflammatory mechanism involved in the development, progression, and pathogenesis of various autoimmune and inflammatory diseases. Dead cells constitute a source of novel antigens that can further provoke the autoimmune response. As a consequence, the resulting activation and polarization of innate and adaptive immune cells towards a Th-1-type immune response may be among the key factors contributing to the pathogenesis. The fact that conditional targeting of T cells in CD4 Cre CLEC16AΔUBC mice revealed no variation in T cell repertoire and pathological phenotype [11], further reinforces this concept. Previous research has investigated the role of CLEC16A in T-cell co-stimulation and activation in human lymphoblastoid cell lines (LCLs) in dendritic and B cells, which are professional antigen-presenting cells (APCs) and CLEC16A high expressers. The study reported that CLEC16A knockdown does not affect T cell activation or proliferation following co-culture with KD or control LCLs [129], suggesting that additional studies on CLEC16A, accounting for its ER localization, are needed to uncover its biological role in other immune cell types. The derailed functional link between CLEC16A and NK cells may further explain the immune dysregulation under disrupted mitophagy conditions in immune cells [10] and the risk of autoimmunity associated with specific CLEC16A variants.
While various models in different cell types can be proposed for the function of CLEC16A, our findings from the overexpression system in NK cells and knockout mouse model studies indicate that CLEC16A has inherent E3 ligase activity and can undergo self-ubiquitination to regulate receptor turnover and expression through the C Vps-HOPS complex, CART, and autophagy [11] (Figure 6).
Recently, we reported an autoimmune/inflammatory and lipodystrophic phenotype using a whole-body, inducible CLEC16AΔUBC mouse model [12]. Loss of CLEC16A function leads to a vicious cycle of autophagic impairment, ER stress, and activation of lipolytic cascade resulting in loss of all forms of white adipose tissue under dysregulated mitophagy settings. KO mice undergo rapid weight loss, exhibit abnormal lipid metabolism, significantly reduced circulating insulin levels in the presence of normal food consumption, elevated antibody levels, robust cytokine-mediated inflammatory response, and lipodystrophic phenotype. Unlike other established models of lipodystrophy, our CLEC16AΔUBC mice do not exhibit hypertriglyceridemia and hepatic steatosis, implying a novel phenotype different from known mammalian models of lipodystrophy. Treatment of CLEC16AΔUBC mice with the pan-JAK/STAT inhibitor tofacitinib partially rescues the pathological lipodystrophic phenotype and improves survival [12]. Tofacitnib exerts its multifaceted effect on AMPK, mTOR, HSL, autophagy, and JAK-STAT-mediated SOCS signaling and partially reduces the lipodystrophic phenotype. These findings further strengthen the link between CLEC16A, mitochondria, metabolism, and immune system perturbations and suggest SOCS signaling to be explored as a potential druggable target in CLEC16A-associated pathologies.

5. CLEC16A in Neurodegeneration

The genetic linkage of the CLEC16A locus to multiple sclerosis was established in 2007 [46], whereas the role of the gene in the nervous system remained unidentified. The initial research on CLEC16A suggested its potential significance in host defense through astrocyte-mediated immune response [130]. The expression of CLEC16A was significantly increased in active astrocytes located in the inflamed cerebral cortex and suggested that the upregulation of CLEC16A could play a role in the activation. Knock-down of CLEC16A in cultured primary astrocytes by siRNA showed that CLEC16A was required for the activation of astrocytes induced by LPS [130]. In 2016, the study utilized two mouse strains carrying independent CLEC16A mutations and reported a neurodegenerative disease characterized by motor impairments and loss of Purkinje cells [14]. Homozygous mice carrying a gene-trap insertion in CLEC16A (CLEC16AGT/GT) develops an overt neurological phenotype at 7–8 weeks of age, ascribed to the loss of cerebellar Purkinje cells. CLEC16Acurt/curt mice, with a 4-nucleotide deletion allele in exon 21, resulting in a frameshift mutation, also lose cerebellar Purkinje cells. The neurons derived from CLEC16A-mutant mice demonstrated an increased expression of p62, an autophagy substrate, as well as an accumulation of abnormal intra-axonal membranous structures that bore the autophagy protein LC3, and an unusual Golgi morphology. Despite normal functionality of multiple aspects of endocytosis, lysosome, and Golgi function, the CLEC16A-deficient murine embryonic fibroblasts and HeLa cells showed abnormal bulk autophagy, despite the normal autophagosome formation. The cultured CLEC16A-deficient cells revealed a striking accumulation of LC3 and LAMP-1 positive autolysosomes that contained undigested cytoplasmic contents. Purkinje cell survival necessitates CLEC16A as vital for autolysosome function and clearance.
Recently, we showed that whole-body knockout of CLEC16A (CLEC16AΔUBC) in adult mice results in an overt neurological phenotype associated with loss of primary sensory axons and loss of Purkinje cells [13]. These results are similar to the observations in CLEC16AGT/GT and CLEC16Acurt/curt mice [14]. It remains to be determined whether primary sensory neurons are affected in these CLEC16A mouse models. Our experiments with CLEC16AΔUBC homozygous mice revealed that they have a severe phenotype and do not survive beyond embryonic stages [13]. In comparison, CLEC16AGT/GT mice have a mild and delayed behavioral phenotype and longer survival, while CLEC16Acurt/curt mice exhibit prenatal/perinatal death, skeletal abnormalities, and decreased body weight. Based on these observations, we can conclude that the CLEC16AGT allele likely results in partial loss of function. Our study also found astrogliosis and activated microglia in regions with axonopathy, and indications of dysregulated autophagy in neural regions with and without axonopathy. Moreover, we observed changes in proteins related to mitochondrial oxidative phosphorylation, endoplasmic reticulum stress markers, and ISG15 in neuronal tissues [13]. ISG15 is a ubiquitin-like modifier that inhibits polyubiquitination and is involved in a process called ISGylation, which controls protein aggregate clearance in autophagy [131]. ISG15 activation occurs after cell stress [132] and neuronal damage [133], and is thought to be a potential cause of defective mitophagy in neurodegenerative diseases [134]. ISG15 and ISGylation also control mitochondrial oxidative phosphorylation and recycling in bone marrow-derived macrophages [135]. ISG15 conjugation to Parkin enhances its E3 ubiquitin ligase activity, an example of how ISGylation impacts mitochondrial processes in neurodegeneration [136]. Free ISG15 stimulates IFN-γ production [137]. We speculate that ISG15 is likely to be a key player in linking CLEC16A to downstream autoimmune inflammatory processes due to its numerous roles in ubiquitination and inflammatory processes. Thus, our CLEC16AΔUBC homozygous mice provide a valuable murine model to elucidate these issues in sensory ataxia as well as mitochondrial function in neurodegeneration.
A recent study reported the first bi-allelic loss-of-function (LoF) CLEC16A truncating variants in siblings from two unrelated families with a severe neurodevelopmental disorder, including microcephaly, brain atrophy, corpus callosum dysgenesis, growth retardation, and hypotonia with severe developmental delay [123]. Using zebrafish as an in vivo model, the study shows that the loss of CLEC16A disrupts both autophagy and mitophagy, already during brain development. Additionally, using an in vitro HEK293T cell system, the study demonstrates that CLEC16A closely interacts with retromer components and regulates endosomal fate by fine-tuning levels of TRIM27 and polymerized F-actin on the endosome surface. Dysregulation of CLEC16A-mediated endosomal sorting is associated with neurodegeneration, but it also causes the accumulation of autophagosomes and unhealthy mitochondria during brain development. These findings are in concordance with the observed neurological phenotype in our CLEC16AΔUBC homozygous mice and suggest a pleiotropic role of CLEC16A in the regulation of autophagy, mitophagy, and further support the emerging role of CLEC16A in neurodegeneration.

6. Therapeutic Targeting of CLEC16A

CLEC16A is emerging as an important genetic risk factor for several autoimmune diseases and Parkinson’s disease and has opened new avenues for research. While there are no specific therapeutic agents currently that target CLEC16A, there are several drugs that have the potential to benefit patients with CLEC16A dysfunction. Given the complexity and overlapping pathways, combinatorial drug therapy may be required. The above-mentioned studies highlight the involvement and dysregulation of autophagy, mitophagy, and dysregulated SOCS1 signaling. Emerging evidence from our whole-body, inducible mouse models suggests that Clec16A hypofunction, at least in part, can be corrected by interventions targeting mitophagy, autophagy, SOCS1 signaling, and the JAK-STAT pathway using a drug repurposing therapy approach [10,11,12,13]. The CLEC16AΔUBC mouse represents a unique model to study the role of CLEC16A and associated autophagy/mitophagy defects leading to autoinflammatory, lipodystrophy, and neurodegeneration (Figure 7).
Figure 7 depicts various drug targets to address the consequences of CLEC16A hypofunction, aimed at restoring cell homeostasis in response to mitochondrial dysfunction. (A) Natural compounds such as spermidine [138,139,140] and Urolithin-A an ellagitannins-derived metabolite have been shown to induce muscular mitophagy in cultured cells and C. elegans [141,142] and neuronal mitophagy in both C. elegans and the mouse brain [143,144]. (B) mTOR signaling with Rapamycin to stimulate mitophagy through AMPK and ULK1 activation [145,146,147,148,149,150]. (C) Supplementing with AICAR [151,152] and Metformin [153,154,155,156], an oral FDA-approved antidiabetic drug, can activate the enzymatic activity of AMPK, leading to ULK1 phosphorylation and activation. This, in turn, promotes autophagy initiation and the removal of damaged mitochondria. Additionally, AMPK-mediated activation of PGC-1α supports the promotion of mitochondrial biogenesis. The AMPK signaling pathway is a crucial regulator of cellular energy metabolism and has been demonstrated to induce autophagy and enhance mitochondrial function. (D, E, and F) Resveratrol (a polyphenolic compound, mainly found in red grapes skin, with beneficial properties for organismal homeostasis) [157,158], several synthetic drugs such as SIRT1720 and SIRT2104, and NAD+ suppliers indirectly enhance SIRT1 activity through AMPK activation, which raises cytoplasmic NAD+ levels and autophagy [159,160,161,162]. (G) Inflammation and cytokine signaling through SOCS-mediated JAK-STAT inhibitors. (H) Loss of CLEC16A leads to a vicious cycle of autophagic/mitophagy impairment and ER stress. Pharmacological inhibition of ER stress by any one of the three branches of unfolded protein response (UPR) namely Inositol Requiring 1 (IRE1), PKR-like ER kinase (PERK), and Activating Transcription Factor 6 (ATF6) could be beneficial. (I) Necrostatin-1 (Nec-1) is a potent and specific small-molecule inhibitor of receptor-interacting serine/threonine-protein kinase 1 (RIPK1). RIPK1, through its kinase and scaffolding functions, is a key regulator of apoptosis, necroptosis, and inflammatory pathways [163,164]. (J) The compound z-VAD-FMK (zVAD) is a cell-permeant pan-caspase inhibitor that irreversibly binds to the catalytic site of caspase proteases and can inhibit the induction of apoptosis [165].
These studies further support that therapeutic targeting of mitophagy holds promise for the treatment of autoimmune diseases as well as for Parkinson’s disease.

7. Conclusions

CLEC16A is emerging as a master regulator of autoimmunity and neurodegeneration. Overall, while the exact role of CLEC16A in health and disease is still being elucidated, it appears to play a critical role in the regulation of autophagy, mitophagy, and other cellular processes related to immune function, insulin secretion, and cellular homeostasis. Further fine mapping and biological studies of the 16p13 region are needed to fully understand the mechanisms involved and to identify effective therapeutic interventions in clinical settings. Drugs with modulatory effects on ER stress, lipophagy/autophagy/mitophagy, or inflammatory pathways could compensate for the attenuated CLEC16A activity and present formidable candidates for targeted interventions in autoimmunity and neurodegeneration. Interventions directed at reversing the dysregulated mitophagy and the consequence of loss of function of CLEC16A, including the use of repurposed drugs aimed at compensating for the attenuated CLEC16A activity, present formidable candidates for targeted interventions for autoimmune and neurodegenerative disorders.

Author Contributions

Conceptualization (invited review), R.P. and M.B.; methodology, R.P.; graphics and illustrations, R.P.; writing—original draft preparation, R.P. and M.B.; writing—review and editing, R.P., M.B. and H.H.; supervision, H.H. All authors have read and agreed to the published version of the manuscript.

Funding

CAG IDF funding Hakon Hakonarson (HH), FY23 (7225940623), CHOP’s Endowed Chair in Genomic Research Hakon Hakonarson (HH), (FY23 7224960623).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data, supporting opinions, and conclusions reported in the current manuscript are available at https://pubmed.ncbi.nlm.nih.gov and https://genome.ucsc.edu.

Acknowledgments

We thank the patients and their families who participated in the studies reported in this review manuscript and the staff at the Center for Applied Genomics for their contributions to data generation.

Conflicts of Interest

Hakon Hakonarson, Marina Bakay and Rahul Pandey report they have three patents pending on ‘New innovative weight reduction therapies targeting CLEC16A’, ‘Role of CLEC16A and SOCS1 as therapeutic options in autoimmunity modeled through a UBC-Cre-CLEC16AloxP Phenotype Mouse’ and ‘Probucol ameliorates the autoimmune, lipodystrophic and neurodegenerative phenotypes in CLEC16A KO mice’.

References

  1. Hakonarson, H.; Grant, S.F.; Bradfield, J.P.; Marchand, L.; Kim, C.E.; Glessner, J.T.; Grabs, R.; Casalunovo, T.; Taback, S.P.; Frackelton, E.C.; et al. A genome-wide association study identifies KIAA0350 as a type 1 diabetes gene. Nature 2007, 448, 591–594. [Google Scholar] [CrossRef] [PubMed]
  2. Kim, S.; Naylor, S.A.; DiAntonio, A. Drosophila Golgi membrane protein Ema promotes autophagosomal growth and function. Proc. Natl. Acad. Sci. USA 2012, 109, E1072–E1081. [Google Scholar] [CrossRef]
  3. Kim, S.; Wairkar, Y.P.; Daniels, R.W.; DiAntonio, A. The novel endosomal membrane protein Ema interacts with the class C Vps-HOPS complex to promote endosomal maturation. J. Cell Biol. 2010, 188, 717–734. [Google Scholar] [CrossRef] [PubMed]
  4. Schuster, C.; Gerold, K.D.; Schober, K.; Probst, L.; Boerner, K.; Kim, M.J.; Ruckdeschel, A.; Serwold, T.; Kissler, S. The Autoimmunity-Associated Gene CLEC16A Modulates Thymic Epithelial Cell Autophagy and Alters T Cell Selection. Immunity 2015, 42, 942–952. [Google Scholar] [CrossRef]
  5. Tam, R.C.; Li, M.W.; Gao, Y.P.; Pang, Y.T.; Yan, S.; Ge, W.; Lau, C.S.; Chan, V.S. Human CLEC16A regulates autophagy through modulating mTOR activity. Exp. Cell Res. 2017, 352, 304–312. [Google Scholar] [CrossRef]
  6. Soleimanpour, S.A.; Gupta, A.; Bakay, M.; Ferrari, A.M.; Groff, D.N.; Fadista, J.; Spruce, L.A.; Kushner, J.A.; Groop, L.; Seeholzer, S.H.; et al. The diabetes susceptibility gene Clec16a regulates mitophagy. Cell 2014, 157, 1577–1590. [Google Scholar] [CrossRef]
  7. Betz, R.C.; Petukhova, L.; Ripke, S.; Huang, H.; Menelaou, A.; Redler, S.; Becker, T.; Heilmann, S.; Yamany, T.; Duvic, M.; et al. Genome-wide meta-analysis in alopecia areata resolves HLA associations and reveals two new susceptibility loci. Nat. Commun. 2015, 6, 5966. [Google Scholar] [CrossRef]
  8. Rijvers, L.; Melief, M.J.; van Langelaar, J.; van der Vuurst de Vries, R.M.; Wierenga-Wolf, A.F.; Koetzier, S.C.; Priatel, J.J.; Jorritsma, T.; van Ham, S.M.; Hintzen, R.Q.; et al. The Role of Autoimmunity-Related Gene CLEC16A in the B Cell Receptor-Mediated HLA Class II Pathway. J. Immunol. 2020, 205, 945–956. [Google Scholar] [CrossRef] [PubMed]
  9. van Luijn, M.M.; Kreft, K.L.; Jongsma, M.L.; Mes, S.W.; Wierenga-Wolf, A.F.; van Meurs, M.; Melief, M.J.; der Kant, R.; Janssen, L.; Janssen, H.; et al. Multiple sclerosis-associated CLEC16A controls HLA class II expression via late endosome biogenesis. Brain 2015, 138, 1531–1547. [Google Scholar] [CrossRef]
  10. Pandey, R.; Bakay, M.; Hain, H.S.; Strenkowski, B.; Elsaqa, B.Z.B.; Roizen, J.D.; Kushner, J.A.; Orange, J.S.; Hakonarson, H. CLEC16A regulates splenocyte and NK cell function in part through MEK signaling. PLoS ONE 2018, 13, e0203952. [Google Scholar] [CrossRef]
  11. Pandey, R.; Bakay, M.; Hain, H.S.; Strenkowski, B.; Yermakova, A.; Kushner, J.A.; Orange, J.S.; Hakonarson, H. The Autoimmune Disorder Susceptibility Gene CLEC16A Restrains NK Cell Function in YTS NK Cell Line and Clec16a Knockout Mice. Front. Immunol. 2019, 10, 68. [Google Scholar] [CrossRef] [PubMed]
  12. Pandey, R.; Bakay, M.; Strenkowski, B.P.; Hain, H.S.; Hakonarson, H. JAK/STAT inhibitor therapy partially rescues the lipodystrophic autoimmune phenotype in Clec16a KO mice. Sci. Rep. 2021, 11, 7372. [Google Scholar] [CrossRef]
  13. Hain, H.S.; Pandey, R.; Bakay, M.; Strenkowski, B.P.; Harrington, D.; Romer, M.; Motley, W.W.; Li, J.; Lancaster, E.; Roth, L.; et al. Inducible knockout of Clec16a in mice results in sensory neurodegeneration. Sci. Rep. 2021, 11, 9319. [Google Scholar] [CrossRef]
  14. Redmann, V.; Lamb, C.A.; Hwang, S.; Orchard, R.C.; Kim, S.; Razi, M.; Milam, A.; Park, S.; Yokoyama, C.C.; Kambal, A.; et al. Clec16a is Critical for Autolysosome Function and Purkinje Cell Survival. Sci. Rep. 2016, 6, 23326. [Google Scholar] [CrossRef] [PubMed]
  15. Tomlinson, M.J.t.; Pitsillides, A.; Pickin, R.; Mika, M.; Keene, K.L.; Hou, X.; Mychaleckyj, J.; Chen, W.M.; Concannon, P.; Onengut-Gumuscu, S. Fine mapping and functional studies of risk variants for type 1 diabetes at chromosome 16p13.13. Diabetes 2014, 63, 4360–4368. [Google Scholar] [CrossRef]
  16. Davison, L.J.; Wallace, C.; Cooper, J.D.; Cope, N.F.; Wilson, N.K.; Smyth, D.J.; Howson, J.M.; Saleh, N.; Al-Jeffery, A.; Angus, K.L.; et al. Long-range DNA looping and gene expression analyses identify DEXI as an autoimmune disease candidate gene. Hum. Mol. Genet. 2012, 21, 322–333. [Google Scholar] [CrossRef]
  17. Nieves-Bonilla, J.M.; Kiaf, B.; Schuster, C.; Kissler, S. The type 1 diabetes candidate gene Dexi does not affect disease risk in the nonobese diabetic mouse model. Genes Immun. 2020, 21, 71–77. [Google Scholar] [CrossRef] [PubMed]
  18. Mero, I.L.; Ban, M.; Lorentzen, A.R.; Smestad, C.; Celius, E.G.; Saether, H.; Saeedi, H.; Viken, M.K.; Skinningsrud, B.; Undlien, D.E.; et al. Exploring the CLEC16A gene reveals a MS-associated variant with correlation to the relative expression of CLEC16A isoforms in thymus. Genes Immun. 2011, 12, 191–198. [Google Scholar] [CrossRef] [PubMed]
  19. Zuvich, R.L.; Bush, W.S.; McCauley, J.L.; Beecham, A.H.; De Jager, P.L.; Ivinson, A.J.; Compston, A.; Hafler, D.A.; Hauser, S.L.; Sawcer, S.J.; et al. Interrogating the complex role of chromosome 16p13.13 in multiple sclerosis susceptibility: Independent genetic signals in the CIITA-CLEC16A-SOCS1 gene complex. Hum. Mol. Genet. 2011, 20, 3517–3524. [Google Scholar] [CrossRef]
  20. Cooney, R.N. Suppressors of cytokine signaling (SOCS): Inhibitors of the JAK/STAT pathway. Shock 2002, 17, 83–90. [Google Scholar] [CrossRef]
  21. Leikfoss, I.S.; Mero, I.L.; Dahle, M.K.; Lie, B.A.; Harbo, H.F.; Spurkland, A.; Berge, T. Multiple sclerosis-associated single-nucleotide polymorphisms in CLEC16A correlate with reduced SOCS1 and DEXI expression in the thymus. Genes Immun. 2013, 14, 62–66. [Google Scholar] [CrossRef] [PubMed]
  22. Kim, H.; Suh, J.M.; Hwang, E.S.; Kim, D.W.; Chung, H.K.; Song, J.H.; Hwang, J.H.; Park, K.C.; Ro, H.K.; Jo, E.K.; et al. Thyrotropin-mediated repression of class II trans-activator expression in thyroid cells: Involvement of STAT3 and suppressor of cytokine signaling. J. Immunol. 2003, 171, 616–627. [Google Scholar] [CrossRef]
  23. Yoshimura, A.; Aki, D.; Ito, M. SOCS, SPRED, and NR4a: Negative regulators of cytokine signaling and transcription in immune tolerance. Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 2021, 97, 277–291. [Google Scholar] [CrossRef] [PubMed]
  24. Sobah, M.L.; Liongue, C.; Ward, A.C. SOCS Proteins in Immunity, Inflammatory Diseases, and Immune-Related Cancer. Front. Med. (Lausanne) 2021, 8, 727987. [Google Scholar] [CrossRef] [PubMed]
  25. Pahlevan Kakhki, M.; Rakhshi, N.; Heidary, M.; Behmanesh, M.; Nikravesh, A. Expression of suppressor of cytokine signaling 1 (SOCS1) gene dramatically increases in relapsing-remitting multiple sclerosis. J. Neurol. Sci. 2015, 350, 40–45. [Google Scholar] [CrossRef]
  26. Berge, T.; Leikfoss, I.S.; Harbo, H.F. From Identification to Characterization of the Multiple Sclerosis Susceptibility Gene CLEC16A. Int. J. Mol. Sci. 2013, 14, 4476–4497. [Google Scholar] [CrossRef] [PubMed]
  27. Gingerich, M.A.; Liu, X.; Chai, B.; Pearson, G.L.; Vincent, M.P.; Stromer, T.; Zhu, J.; Sidarala, V.; Renberg, A.; Sahu, D.; et al. An intrinsically disordered protein region encoded by the human disease gene CLEC16A regulates mitophagy. Autophagy 2023, 19, 525–543. [Google Scholar] [CrossRef]
  28. Babu, M.M. The contribution of intrinsically disordered regions to protein function, cellular complexity, and human disease. Biochem. Soc. Trans. 2016, 44, 1185–1200. [Google Scholar] [CrossRef] [PubMed]
  29. Wright, P.E.; Dyson, H.J. Intrinsically disordered proteins in cellular signalling and regulation. Nat. Rev. Mol. Cell Biol. 2015, 16, 18–29. [Google Scholar] [CrossRef]
  30. The International HapMap Consortium. The International HapMap Project. Nature 2003, 426, 789–796. [Google Scholar] [CrossRef]
  31. The International HapMap Consortium. A haplotype map of the human genome. Nature 2005, 437, 1299–1320. [Google Scholar] [CrossRef] [PubMed]
  32. The Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3000 shared controls. Nature 2007, 447, 661–678. [Google Scholar] [CrossRef]
  33. Cooper, J.D.; Smyth, D.J.; Smiles, A.M.; Plagnol, V.; Walker, N.M.; Allen, J.E.; Downes, K.; Barrett, J.C.; Healy, B.C.; Mychaleckyj, J.C.; et al. Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci. Nat. Genet. 2008, 40, 1399–1401. [Google Scholar] [CrossRef] [PubMed]
  34. Todd, J.A.; Walker, N.M.; Cooper, J.D.; Smyth, D.J.; Downes, K.; Plagnol, V.; Bailey, R.; Nejentsev, S.; Field, S.F.; Payne, F.; et al. Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes. Nat. Genet. 2007, 39, 857–864. [Google Scholar] [CrossRef]
  35. Zoledziewska, M.; Costa, G.; Pitzalis, M.; Cocco, E.; Melis, C.; Moi, L.; Zavattari, P.; Murru, R.; Lampis, R.; Morelli, L.; et al. Variation within the CLEC16A gene shows consistent disease association with both multiple sclerosis and type 1 diabetes in Sardinia. Genes Immun. 2009, 10, 15–17. [Google Scholar] [CrossRef] [PubMed]
  36. Martinez, A.; Perdigones, N.; Cenit, M.C.; Espino, L.; Varade, J.; Lamas, J.R.; Santiago, J.L.; Fernandez-Arquero, M.; de la Calle, H.; Arroyo, R.; et al. Chromosomal region 16p13: Further evidence of increased predisposition to immune diseases. Ann. Rheum. Dis. 2010, 69, 309–311. [Google Scholar] [CrossRef]
  37. Reddy, M.V.; Wang, H.; Liu, S.; Bode, B.; Reed, J.C.; Steed, R.D.; Anderson, S.W.; Steed, L.; Hopkins, D.; She, J.X. Association between type 1 diabetes and GWAS SNPs in the southeast US Caucasian population. Genes Immun. 2011, 12, 208–212. [Google Scholar] [CrossRef]
  38. Sang, Y.; Zong, W.; Yan, J.; Liu, M. The Correlation between the CLEC16A Gene and Genetic Susceptibility to Type 1 Diabetes in Chinese Children. Int. J. Endocrinol. 2012, 2012, 245384. [Google Scholar] [CrossRef]
  39. Wu, X.; Zhu, X.; Wang, X.; Ma, J.; Zhu, S.; Li, J.; Liu, Y. Intron polymorphism in the KIAA0350 gene is reproducibly associated with susceptibility to type 1 diabetes (T1D) in the Han Chinese population. Clin. Endocrinol. 2009, 71, 46–49. [Google Scholar] [CrossRef]
  40. Yamashita, H.; Awata, T.; Kawasaki, E.; Ikegami, H.; Tanaka, S.; Maruyama, T.; Shimada, A.; Nakanishi, K.; Takahashi, K.; Kobayashi, T.; et al. Analysis of the HLA and non-HLA susceptibility loci in Japanese type 1 diabetes. Diabetes/Metab. Res. Rev. 2011, 27, 844–848. [Google Scholar] [CrossRef]
  41. Howson, J.M.; Rosinger, S.; Smyth, D.J.; Boehm, B.O.; Todd, J.A. Genetic analysis of adult-onset autoimmune diabetes. Diabetes 2011, 60, 2645–2653. [Google Scholar] [CrossRef]
  42. Awata, T.; Kawasaki, E.; Tanaka, S.; Ikegami, H.; Maruyama, T.; Shimada, A.; Nakanishi, K.; Kobayashi, T.; Iizuka, H.; Uga, M.; et al. Association of type 1 diabetes with two Loci on 12q13 and 16p13 and the influence coexisting thyroid autoimmunity in Japanese. J. Clin. Endocrinol. Metab. 2009, 94, 231–235. [Google Scholar] [CrossRef] [PubMed]
  43. Barrett, J.C.; Clayton, D.G.; Concannon, P.; Akolkar, B.; Cooper, J.D.; Erlich, H.A.; Julier, C.; Morahan, G.; Nerup, J.; Nierras, C.; et al. Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes. Nat. Genet. 2009, 41, 703–707. [Google Scholar] [CrossRef] [PubMed]
  44. Plagnol, V.; Howson, J.M.; Smyth, D.J.; Walker, N.; Hafler, J.P.; Wallace, C.; Stevens, H.; Jackson, L.; Simmonds, M.J.; Type 1 Diabetes Genetics, C.; et al. Genome-wide association analysis of autoantibody positivity in type 1 diabetes cases. PLoS Genet. 2011, 7, e1002216. [Google Scholar] [CrossRef]
  45. Onengut-Gumuscu, S.; Chen, W.M.; Burren, O.; Cooper, N.J.; Quinlan, A.R.; Mychaleckyj, J.C.; Farber, E.; Bonnie, J.K.; Szpak, M.; Schofield, E.; et al. Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers. Nat. Genet. 2015, 47, 381–386. [Google Scholar] [CrossRef]
  46. Hafler, D.A.; Compston, A.; Sawcer, S.; Lander, E.S.; Daly, M.J.; De Jager, P.L.; de Bakker, P.I.; Gabriel, S.B.; Mirel, D.B.; Ivinson, A.J.; et al. Risk alleles for multiple sclerosis identified by a genomewide study. N. Engl. J. Med. 2007, 357, 851–862. [Google Scholar] [CrossRef] [PubMed]
  47. Rubio, J.P.; Stankovich, J.; Field, J.; Tubridy, N.; Marriott, M.; Chapman, C.; Bahlo, M.; Perera, D.; Johnson, L.J.; Tait, B.D.; et al. Replication of KIAA0350, IL2RA, RPL5 and CD58 as multiple sclerosis susceptibility genes in Australians. Genes Immun. 2008, 9, 624–630. [Google Scholar] [CrossRef]
  48. D’Netto, M.J.; Ward, H.; Morrison, K.M.; Ramagopalan, S.V.; Dyment, D.A.; DeLuca, G.C.; Handunnetthi, L.; Sadovnick, A.D.; Ebers, G.C. Risk alleles for multiple sclerosis in multiplex families. Neurology 2009, 72, 1984–1988. [Google Scholar] [CrossRef]
  49. De Jager, P.L.; Jia, X.; Wang, J.; de Bakker, P.I.; Ottoboni, L.; Aggarwal, N.T.; Piccio, L.; Raychaudhuri, S.; Tran, D.; Aubin, C.; et al. Meta-analysis of genome scans and replication identify CD6, IRF8 and TNFRSF1A as new multiple sclerosis susceptibility loci. Nat. Genet. 2009, 41, 776–782. [Google Scholar] [CrossRef]
  50. International Multiple Sclerosis Genetics, C. The expanding genetic overlap between multiple sclerosis and type I diabetes. Genes Immun. 2009, 10, 11–14. [Google Scholar] [CrossRef]
  51. Perera, D.; Stankovich, J.; Butzkueven, H.; Taylor, B.V.; Foote, S.J.; Kilpatrick, T.J.; Rubio, J.P. Fine mapping of multiple sclerosis susceptibility genes provides evidence of allelic heterogeneity at the IL2RA locus. J. Neuroimmunol. 2009, 211, 105–109. [Google Scholar] [CrossRef] [PubMed]
  52. Johnson, B.A.; Wang, J.; Taylor, E.M.; Caillier, S.J.; Herbert, J.; Khan, O.A.; Cross, A.H.; De Jager, P.L.; Gourraud, P.A.; Cree, B.C.; et al. Multiple sclerosis susceptibility alleles in African Americans. Genes Immun. 2010, 11, 343–350. [Google Scholar] [CrossRef] [PubMed]
  53. Nischwitz, S.; Cepok, S.; Kroner, A.; Wolf, C.; Knop, M.; Muller-Sarnowski, F.; Pfister, H.; Rieckmann, P.; Hemmer, B.; Ising, M.; et al. More CLEC16A gene variants associated with multiple sclerosis. Acta Neurol. Scand 2011, 123, 400–406. [Google Scholar] [CrossRef] [PubMed]
  54. Pandit, L.; Ban, M.; Sawcer, S.; Singhal, B.; Nair, S.; Radhakrishnan, K.; Shetty, R.; Misri, Z.; Hegde, S.; Bhat, I.G. Evaluation of the established non-MHC multiple sclerosis loci in an Indian population. Mult. Scler. 2011, 17, 139–143. [Google Scholar] [CrossRef]
  55. Sawcer, S.; Hellenthal, G.; Pirinen, M.; Spencer, C.C.; Patsopoulos, N.A.; Moutsianas, L.; Dilthey, A.; Su, Z.; Freeman, C.; Hunt, S.E.; et al. Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis. Nature 2011, 476, 214–219. [Google Scholar] [CrossRef]
  56. International Multiple Sclerosis Genetics, C.; Beecham, A.H.; Patsopoulos, N.A.; Xifara, D.K.; Davis, M.F.; Kemppinen, A.; Cotsapas, C.; Shah, T.S.; Spencer, C.; Booth, D.; et al. Analysis of immune-related loci identifies 48 new susceptibility variants for multiple sclerosis. Nat. Genet. 2013, 45, 1353–1360. [Google Scholar] [CrossRef]
  57. Andlauer, T.F.; Buck, D.; Antony, G.; Bayas, A.; Bechmann, L.; Berthele, A.; Chan, A.; Gasperi, C.; Gold, R.; Graetz, C.; et al. Novel multiple sclerosis susceptibility loci implicated in epigenetic regulation. Sci. Adv. 2016, 2, e1501678. [Google Scholar] [CrossRef]
  58. Steri, M.; Orru, V.; Idda, M.L.; Pitzalis, M.; Pala, M.; Zara, I.; Sidore, C.; Faa, V.; Floris, M.; Deiana, M.; et al. Overexpression of the Cytokine BAFF and Autoimmunity Risk. N. Engl. J. Med. 2017, 376, 1615–1626. [Google Scholar] [CrossRef]
  59. Eriksson, D.; Bianchi, M.; Landegren, N.; Dalin, F.; Skov, J.; Hultin-Rosenberg, L.; Mathioudaki, A.; Nordin, J.; Hallgren, A.; Andersson, G.; et al. Common genetic variation in the autoimmune regulator (AIRE) locus is associated with autoimmune Addison’s disease in Sweden. Sci. Rep. 2018, 8, 8395. [Google Scholar] [CrossRef]
  60. Skinningsrud, B.; Husebye, E.S.; Pearce, S.H.; McDonald, D.O.; Brandal, K.; Wolff, A.B.; Lovas, K.; Egeland, T.; Undlien, D.E. Polymorphisms in CLEC16A and CIITA at 16p13 are associated with primary adrenal insufficiency. J. Clin. Endocrinol. Metab. 2008, 93, 3310–3317. [Google Scholar] [CrossRef]
  61. Langefeld, C.D.; Ainsworth, H.C.; Cunninghame Graham, D.S.; Kelly, J.A.; Comeau, M.E.; Marion, M.C.; Howard, T.D.; Ramos, P.S.; Croker, J.A.; Morris, D.L.; et al. Transancestral mapping and genetic load in systemic lupus erythematosus. Nat. Commun. 2017, 8, 16021. [Google Scholar] [CrossRef] [PubMed]
  62. Morris, D.L.; Sheng, Y.; Zhang, Y.; Wang, Y.F.; Zhu, Z.; Tombleson, P.; Chen, L.; Cunninghame Graham, D.S.; Bentham, J.; Roberts, A.L.; et al. Genome-wide association meta-analysis in Chinese and European individuals identifies ten new loci associated with systemic lupus erythematosus. Nat. Genet. 2016, 48, 940–946. [Google Scholar] [CrossRef] [PubMed]
  63. Bentham, J.; Morris, D.L.; Graham, D.S.C.; Pinder, C.L.; Tombleson, P.; Behrens, T.W.; Martin, J.; Fairfax, B.P.; Knight, J.C.; Chen, L.; et al. Genetic association analyses implicate aberrant regulation of innate and adaptive immunity genes in the pathogenesis of systemic lupus erythematosus. Nat. Genet. 2015, 47, 1457–1464. [Google Scholar] [CrossRef] [PubMed]
  64. Yang, W.; Tang, H.; Zhang, Y.; Tang, X.; Zhang, J.; Sun, L.; Yang, J.; Cui, Y.; Zhang, L.; Hirankarn, N.; et al. Meta-analysis followed by replication identifies loci in or near CDKN1B, TET3, CD80, DRAM1, and ARID5B as associated with systemic lupus erythematosus in Asians. Am. J. Hum. Genet. 2013, 92, 41–51. [Google Scholar] [CrossRef]
  65. Marquez, A.; Varade, J.; Robledo, G.; Martinez, A.; Mendoza, J.L.; Taxonera, C.; Fernandez-Arquero, M.; Diaz-Rubio, M.; Gomez-Garcia, M.; Lopez-Nevot, M.A.; et al. Specific association of a CLEC16A/KIAA0350 polymorphism with NOD2/CARD15(-) Crohn’s disease patients. Eur. J. Hum. Genet. 2009, 17, 1304–1308. [Google Scholar] [CrossRef]
  66. Bronson, P.G.; Chang, D.; Bhangale, T.; Seldin, M.F.; Ortmann, W.; Ferreira, R.C.; Urcelay, E.; Pereira, L.F.; Martin, J.; Plebani, A.; et al. Common variants at PVT1, ATG13-AMBRA1, AHI1 and CLEC16A are associated with selective IgA deficiency. Nat. Genet. 2016, 48, 1425–1429. [Google Scholar] [CrossRef]
  67. Jagielska, D.; Redler, S.; Brockschmidt, F.F.; Herold, C.; Pasternack, S.M.; Garcia Bartels, N.; Hanneken, S.; Eigelshoven, S.; Refke, M.; Barth, S.; et al. Follow-up study of the first genome-wide association scan in alopecia areata: IL13 and KIAA0350 as susceptibility loci supported with genome-wide significance. J. Investig. Dermatol. 2012, 132, 2192–2197. [Google Scholar] [CrossRef]
  68. Skinningsrud, B.; Lie, B.A.; Husebye, E.S.; Kvien, T.K.; Forre, O.; Flato, B.; Stormyr, A.; Joner, G.; Njolstad, P.R.; Egeland, T.; et al. A CLEC16A variant confers risk for juvenile idiopathic arthritis and anti-cyclic citrullinated peptide antibody negative rheumatoid arthritis. Ann. Rheum. Dis. 2010, 69, 1471–1474. [Google Scholar] [CrossRef]
  69. Cordell, H.J.; Han, Y.; Mells, G.F.; Li, Y.; Hirschfield, G.M.; Greene, C.S.; Xie, G.; Juran, B.D.; Zhu, D.; Qian, D.C.; et al. International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways. Nat. Commun. 2015, 6, 8019. [Google Scholar] [CrossRef]
  70. Liu, J.Z.; Almarri, M.A.; Gaffney, D.J.; Mells, G.F.; Jostins, L.; Cordell, H.J.; Ducker, S.J.; Day, D.B.; Heneghan, M.A.; Neuberger, J.M.; et al. Dense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosis. Nat. Genet. 2012, 44, 1137–1141. [Google Scholar] [CrossRef]
  71. Hirschfield, G.M.; Xie, G.; Lu, E.; Sun, Y.; Juran, B.D.; Chellappa, V.; Coltescu, C.; Mason, A.L.; Milkiewicz, P.; Myers, R.P.; et al. Association of primary biliary cirrhosis with variants in the CLEC16A, SOCS1, SPIB and SIAE immunomodulatory genes. Genes Immun. 2012, 13, 328–335. [Google Scholar] [CrossRef] [PubMed]
  72. Mells, G.F.; Floyd, J.A.; Morley, K.I.; Cordell, H.J.; Franklin, C.S.; Shin, S.Y.; Heneghan, M.A.; Neuberger, J.M.; Donaldson, P.T.; Day, D.B.; et al. Genome-wide association study identifies 12 new susceptibility loci for primary biliary cirrhosis. Nat. Genet. 2011, 43, 329–332. [Google Scholar] [CrossRef]
  73. Valette, K.; Li, Z.; Bon-Baret, V.; Chignon, A.; Berube, J.C.; Eslami, A.; Lamothe, J.; Gaudreault, N.; Joubert, P.; Obeidat, M.; et al. Prioritization of candidate causal genes for asthma in susceptibility loci derived from UK Biobank. Commun. Biol. 2021, 4, 700. [Google Scholar] [CrossRef]
  74. Shrine, N.; Portelli, M.A.; John, C.; Soler Artigas, M.; Bennett, N.; Hall, R.; Lewis, J.; Henry, A.P.; Billington, C.K.; Ahmad, A.; et al. Moderate-to-severe asthma in individuals of European ancestry: A genome-wide association study. Lancet Respir. Med. 2019, 7, 20–34. [Google Scholar] [CrossRef]
  75. Pividori, M.; Schoettler, N.; Nicolae, D.L.; Ober, C.; Im, H.K. Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: Genome-wide and transcriptome-wide studies. Lancet Respir. Med. 2019, 7, 509–522. [Google Scholar] [CrossRef] [PubMed]
  76. Zhu, Z.; Lee, P.H.; Chaffin, M.D.; Chung, W.; Loh, P.R.; Lu, Q.; Christiani, D.C.; Liang, L. A genome-wide cross-trait analysis from UK Biobank highlights the shared genetic architecture of asthma and allergic diseases. Nat. Genet. 2018, 50, 857–864. [Google Scholar] [CrossRef] [PubMed]
  77. Demenais, F.; Margaritte-Jeannin, P.; Barnes, K.C.; Cookson, W.O.C.; Altmuller, J.; Ang, W.; Barr, R.G.; Beaty, T.H.; Becker, A.B.; Beilby, J.; et al. Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks. Nat. Genet. 2018, 50, 42–53. [Google Scholar] [CrossRef]
  78. Almoguera, B.; Vazquez, L.; Mentch, F.; Connolly, J.; Pacheco, J.A.; Sundaresan, A.S.; Peissig, P.L.; Linneman, J.G.; McCarty, C.A.; Crosslin, D.; et al. Identification of Four Novel Loci in Asthma in European American and African American Populations. Am. J. Respir. Crit. Care Med. 2017, 195, 456–463. [Google Scholar] [CrossRef]
  79. Pickrell, J.K.; Berisa, T.; Liu, J.Z.; Segurel, L.; Tung, J.Y.; Hinds, D.A. Detection and interpretation of shared genetic influences on 42 human traits. Nat. Genet. 2016, 48, 709–717. [Google Scholar] [CrossRef]
  80. Niu, Y.; Wang, H.; Li, Z.; Shamsi, B.H.; Liu, M.; Liu, J.; Wang, Q.; Liu, Y. CLEC16A variants conferred a decreased risk to allergic rhinitis in the Chinese population. Front. Genet. 2022, 13, 1053761. [Google Scholar] [CrossRef]
  81. Gao, Y.; Li, J.; Zhang, Y.; Zhang, L. Replication study of susceptibility variants associated with allergic rhinitis and allergy in Han Chinese. Allergy Asthma Clin. Immunol. 2020, 16, 13. [Google Scholar] [CrossRef]
  82. Muhali, F.S.; Cai, T.T.; Zhu, J.L.; Qin, Q.; Xu, J.; He, S.T.; Shi, X.H.; Jiang, W.J.; Xiao, L.; Li, D.F.; et al. Polymorphisms of CLEC16A Region and Autoimmune Thyroid Diseases. G3 (Bethesda) 2014, 4, 973–977. [Google Scholar] [CrossRef]
  83. Li, J.; Jorgensen, S.F.; Maggadottir, S.M.; Bakay, M.; Warnatz, K.; Glessner, J.; Pandey, R.; Salzer, U.; Schmidt, R.E.; Perez, E.; et al. Association of CLEC16A with human common variable immunodeficiency disorder and role in murine B cells. Nat. Commun. 2015, 6, 6804. [Google Scholar] [CrossRef]
  84. Kottyan, L.C.; Maddox, A.; Braxton, J.R.; Stucke, E.M.; Mukkada, V.; Putnam, P.E.; Abonia, J.P.; Chehade, M.; Wood, R.A.; Pesek, R.D.; et al. Genetic variants at the 16p13 locus confer risk for eosinophilic esophagitis. Genes Immun. 2019, 20, 281–292. [Google Scholar] [CrossRef]
  85. Dubois, P.C.; Trynka, G.; Franke, L.; Hunt, K.A.; Romanos, J.; Curtotti, A.; Zhernakova, A.; Heap, G.A.; Adany, R.; Aromaa, A.; et al. Multiple common variants for celiac disease influencing immune gene expression. Nat. Genet. 2010, 42, 295–302. [Google Scholar] [CrossRef]
  86. Gorlova, O.Y.; Li, Y.; Gorlov, I.; Ying, J.; Chen, W.V.; Assassi, S.; Reveille, J.D.; Arnett, F.C.; Zhou, X.; Bossini-Castillo, L.; et al. Gene-level association analysis of systemic sclerosis: A comparison of African-Americans and White populations. PLoS ONE 2018, 13, e0189498. [Google Scholar] [CrossRef]
  87. Strafella, C.; Caputo, V.; Termine, A.; Assogna, F.; Pellicano, C.; Pontieri, F.E.; Macchiusi, L.; Minozzi, G.; Gambardella, S.; Centonze, D.; et al. Immune System and Neuroinflammation in Idiopathic Parkinson’s Disease: Association Analysis of Genetic Variants and miRNAs Interactions. Front. Genet. 2021, 12, 651971. [Google Scholar] [CrossRef] [PubMed]
  88. Fan, H.H.; Cui, L.; Jiang, X.X.; Song, Y.D.; Liu, S.S.; Wu, K.Y.; Dong, H.J.; Mao, M.; Ovlyakulov, B.; Wu, H.M.; et al. Autoimmune Disease Associated CLEC16A Variants Convey Risk of Parkinson’s Disease in Han Chinese. Front. Genet. 2022, 13, 856493. [Google Scholar] [CrossRef] [PubMed]
  89. Polymeropoulos, M.H.; Lavedan, C.; Leroy, E.; Ide, S.E.; Dehejia, A.; Dutra, A.; Pike, B.; Root, H.; Rubenstein, J.; Boyer, R.; et al. Mutation in the alpha-synuclein gene identified in families with Parkinson’s disease. Science 1997, 276, 2045–2047. [Google Scholar] [CrossRef] [PubMed]
  90. Kitada, T.; Asakawa, S.; Hattori, N.; Matsumine, H.; Yamamura, Y.; Minoshima, S.; Yokochi, M.; Mizuno, Y.; Shimizu, N. Mutations in the parkin gene cause autosomal recessive juvenile parkinsonism. Nature 1998, 392, 605–608. [Google Scholar] [CrossRef]
  91. Bonifati, V.; Rizzu, P.; van Baren, M.J.; Schaap, O.; Breedveld, G.J.; Krieger, E.; Dekker, M.C.; Squitieri, F.; Ibanez, P.; Joosse, M.; et al. Mutations in the DJ-1 gene associated with autosomal recessive early-onset parkinsonism. Science 2003, 299, 256–259. [Google Scholar] [CrossRef]
  92. Valente, E.M.; Abou-Sleiman, P.M.; Caputo, V.; Muqit, M.M.; Harvey, K.; Gispert, S.; Ali, Z.; Del Turco, D.; Bentivoglio, A.R.; Healy, D.G.; et al. Hereditary early-onset Parkinson’s disease caused by mutations in PINK1. Science 2004, 304, 1158–1160. [Google Scholar] [CrossRef]
  93. Zimprich, A.; Muller-Myhsok, B.; Farrer, M.; Leitner, P.; Sharma, M.; Hulihan, M.; Lockhart, P.; Strongosky, A.; Kachergus, J.; Calne, D.B.; et al. The PARK8 locus in autosomal dominant parkinsonism: Confirmation of linkage and further delineation of the disease-containing interval. Am. J. Hum. Genet. 2004, 74, 11–19. [Google Scholar] [CrossRef]
  94. Paisan-Ruiz, C.; Jain, S.; Evans, E.W.; Gilks, W.P.; Simon, J.; van der Brug, M.; Lopez de Munain, A.; Aparicio, S.; Gil, A.M.; Khan, N.; et al. Cloning of the gene containing mutations that cause PARK8-linked Parkinson’s disease. Neuron 2004, 44, 595–600. [Google Scholar] [CrossRef]
  95. Schreglmann, S.R.; Houlden, H. VPS13C-Another Hint at Mitochondrial Dysfunction in Familial Parkinson’s Disease. Mov. Disord. 2016, 31, 1340. [Google Scholar] [CrossRef] [PubMed]
  96. Monfrini, E.; Spagnolo, F.; Canesi, M.; Seresini, A.; Rini, A.; Passarella, B.; Percetti, M.; Seia, M.; Goldwurm, S.; Cereda, V.; et al. VPS13C-associated Parkinson’s disease: Two novel cases and review of the literature. Park. Relat. Disord. 2022, 94, 37–39. [Google Scholar] [CrossRef]
  97. Darvish, H.; Bravo, P.; Tafakhori, A.; Azcona, L.J.; Ranji-Burachaloo, S.; Johari, A.H.; Paisan-Ruiz, C. Identification of a large homozygous VPS13C deletion in a patient with early-onset Parkinsonism. Mov. Disord. 2018, 33, 1968–1970. [Google Scholar] [CrossRef] [PubMed]
  98. Aharon-Peretz, J.; Rosenbaum, H.; Gershoni-Baruch, R. Mutations in the glucocerebrosidase gene and Parkinson’s disease in Ashkenazi Jews. N. Engl. J. Med. 2004, 351, 1972–1977. [Google Scholar] [CrossRef]
  99. Witoelar, A.; Jansen, I.E.; Wang, Y.; Desikan, R.S.; Gibbs, J.R.; Blauwendraat, C.; Thompson, W.K.; Hernandez, D.G.; Djurovic, S.; Schork, A.J.; et al. Genome-wide Pleiotropy Between Parkinson Disease and Autoimmune Diseases. JAMA Neurol. 2017, 74, 780–792. [Google Scholar] [CrossRef]
  100. Sliter, D.A.; Martinez, J.; Hao, L.; Chen, X.; Sun, N.; Fischer, T.D.; Burman, J.L.; Li, Y.; Zhang, Z.; Narendra, D.P.; et al. Parkin and PINK1 mitigate STING-induced inflammation. Nature 2018, 561, 258–262. [Google Scholar] [CrossRef] [PubMed]
  101. van Horssen, J.; van Schaik, P.; Witte, M. Inflammation and mitochondrial dysfunction: A vicious circle in neurodegenerative disorders? Neurosci. Lett. 2019, 710, 132931. [Google Scholar] [CrossRef]
  102. Li, M.; Wan, J.; Xu, Z.; Tang, B. The association between Parkinson’s disease and autoimmune diseases: A systematic review and meta-analysis. Front. Immunol. 2023, 14, 1103053. [Google Scholar] [CrossRef] [PubMed]
  103. Ferreira, M.A.; Matheson, M.C.; Tang, C.S.; Granell, R.; Ang, W.; Hui, J.; Kiefer, A.K.; Duffy, D.L.; Baltic, S.; Danoy, P.; et al. Genome-wide association analysis identifies 11 risk variants associated with the asthma with hay fever phenotype. J. Allergy Clin. Immunol. 2013, 13, 1564–1571. [Google Scholar] [CrossRef]
  104. Ferreira, M.A.R.; Mathur, R.; Vonk, J.M.; Szwajda, A.; Brumpton, B.; Granell, R.; Brew, B.K.; Ullemar, V.; Lu, Y.; Jiang, Y.; et al. Genetic Architectures of Childhood- and Adult-Onset Asthma Are Partly Distinct. Am. J. Hum. Genet. 2019, 104, 665–684. [Google Scholar] [CrossRef] [PubMed]
  105. Hoppenbrouwers, I.A.; Aulchenko, Y.S.; Janssens, A.C.; Ramagopalan, S.V.; Broer, L.; Kayser, M.; Ebers, G.C.; Oostra, B.A.; van Duijn, C.M.; Hintzen, R.Q. Replication of CD58 and CLEC16A as genome-wide significant risk genes for multiple sclerosis. J. Hum. Genet. 2009, 54, 676–680. [Google Scholar] [CrossRef]
  106. Condello, M.; Pellegrini, E.; Caraglia, M.; Meschini, S. Targeting Autophagy to Overcome Human Diseases. Int. J. Mol. Sci. 2019, 20, 725. [Google Scholar] [CrossRef]
  107. Grosjean, I.; Romeo, B.; Domdom, M.A.; Belaid, A.; D’Andrea, G.; Guillot, N.; Gherardi, R.K.; Gal, J.; Milano, G.; Marquette, C.H.; et al. Autophagopathies: From autophagy gene polymorphisms to precision medicine for human diseases. Autophagy 2022, 18, 2519–2536. [Google Scholar] [CrossRef]
  108. Chong, Z.Z. mTOR: A Novel Therapeutic Target for Diseases of Multiple Systems. Curr. Drug Targets 2015, 16, 1107–1132. [Google Scholar] [CrossRef]
  109. Ballesteros-Alvarez, J.; Andersen, J.K. mTORC2: The other mTOR in autophagy regulation. Aging Cell 2021, 20, e13431. [Google Scholar] [CrossRef] [PubMed]
  110. Kim, Y.C.; Guan, K.L. mTOR: A pharmacologic target for autophagy regulation. J. Clin. Investig. 2015, 125, 25–32. [Google Scholar] [CrossRef]
  111. Jung, C.H.; Ro, S.H.; Cao, J.; Otto, N.M.; Kim, D.H. mTOR regulation of autophagy. FEBS Lett. 2010, 584, 1287–1295. [Google Scholar] [CrossRef] [PubMed]
  112. Leikfoss, I.S.; Keshari, P.K.; Gustavsen, M.W.; Bjolgerud, A.; Brorson, I.S.; Celius, E.G.; Spurkland, A.; Bos, S.D.; Harbo, H.F.; Berge, T. Multiple Sclerosis Risk Allele in CLEC16A Acts as an Expression Quantitative Trait Locus for CLEC16A and SOCS1 in CD4+ T Cells. PLoS ONE 2015, 10, e0132957. [Google Scholar] [CrossRef] [PubMed]
  113. Eriksson, A.M.; Leikfoss, I.S.; Abrahamsen, G.; Sundvold, V.; Isom, M.M.; Keshari, P.K.; Rognes, T.; Landsverk, O.J.B.; Bos, S.D.; Harbo, H.F.; et al. Exploring the role of the multiple sclerosis susceptibility gene CLEC16A in T cells. Scand J. Immunol. 2021, 94, e13050. [Google Scholar] [CrossRef] [PubMed]
  114. Hardman, J.A.; Nicu, C.; Tai, C.; Harries, M.; Mironov, A.; Purba, T.S.; Paus, R. Does dysfunctional autophagy contribute to immune privilege collapse and alopecia areata pathogenesis? J. Derm. Sci. 2020, 100, 75–78. [Google Scholar] [CrossRef]
  115. Sundberg, J.P.; Boggess, D.; Montagutelli, X.; Hogan, M.E.; King, L.E., Jr. C3H/HeJ mouse model for alopecia areata. J. Investig. Derm. 1995, 104, 16S–17S. [Google Scholar] [CrossRef]
  116. Bjorkoy, G.; Lamark, T.; Brech, A.; Outzen, H.; Perander, M.; Overvatn, A.; Stenmark, H.; Johansen, T. p62/SQSTM1 forms protein aggregates degraded by autophagy and has a protective effect on huntingtin-induced cell death. J. Cell Biol. 2005, 171, 603–614. [Google Scholar] [CrossRef]
  117. Gund, R.; Christiano, A.M. Impaired autophagy promotes hair loss in the C3H/HeJ mouse model of alopecia areata. Autophagy 2023, 19, 296–305. [Google Scholar] [CrossRef]
  118. Zia, A.; Farkhondeh, T.; Pourbagher-Shahri, A.M.; Samarghandian, S. The Roles of Mitochondrial Dysfunction and Reactive Oxygen Species in Aging and Senescence. Curr. Mol. Med. 2022, 22, 37–49. [Google Scholar] [CrossRef]
  119. Ko, T.K.; Tan, D.J.Y. Is Disrupted Mitophagy a Central Player to Parkinson’s Disease Pathology? Cureus 2023, 15, e35458. [Google Scholar] [CrossRef]
  120. Miller, S.; Muqit, M.M.K. Therapeutic approaches to enhance PINK1/Parkin mediated mitophagy for the treatment of Parkinson’s disease. Neurosci. Lett. 2019, 705, 7–13. [Google Scholar] [CrossRef]
  121. Vives-Bauza, C.; Przedborski, S. Mitophagy: The latest problem for Parkinson’s disease. Trends Mol. Med. 2011, 17, 158–165. [Google Scholar] [CrossRef]
  122. Pearson, G.; Chai, B.; Vozheiko, T.; Liu, X.; Kandarpa, M.; Piper, R.C.; Soleimanpour, S.A. Clec16a, Nrdp1, and USP8 Form a Ubiquitin-Dependent Tripartite Complex That Regulates beta-Cell Mitophagy. Diabetes 2018, 67, 265–277. [Google Scholar] [CrossRef]
  123. Smits, D.J.; Dekker, J.; Schot, R.; Tabarki, B.; Alhashem, A.; Demmers, J.A.A.; Dekkers, D.H.W.; Romito, A.; van der Spek, P.J.; van Ham, T.J.; et al. CLEC16A interacts with retromer and TRIM27, and its loss impairs endosomal trafficking and neurodevelopment. Hum. Genet. 2023, 142, 379–397. [Google Scholar] [CrossRef] [PubMed]
  124. Su, A.I.; Cooke, M.P.; Ching, K.A.; Hakak, Y.; Walker, J.R.; Wiltshire, T.; Orth, A.P.; Vega, R.G.; Sapinoso, L.M.; Moqrich, A.; et al. Large-scale analysis of the human and mouse transcriptomes. Proc. Natl. Acad. Sci. USA 2002, 99, 4465–4470. [Google Scholar] [CrossRef]
  125. Wu, C.; Orozco, C.; Boyer, J.; Leglise, M.; Goodale, J.; Batalov, S.; Hodge, C.L.; Haase, J.; Janes, J.; Huss, J.W., 3rd; et al. BioGPS: An extensible and customizable portal for querying and organizing gene annotation resources. Genome Biol. 2009, 10, R130. [Google Scholar] [CrossRef]
  126. Askenase, M.H. Yo GABA GABA! A neurotransmitter interrupts DC-NK crosstalk. J. Leukoc. Biol. 2021, 110, 611–612. [Google Scholar] [CrossRef]
  127. Thomas, R.; Yang, X. NK-DC Crosstalk in Immunity to Microbial Infection. J. Immunol. Res. 2016, 2016, 6374379. [Google Scholar] [CrossRef]
  128. Marcenaro, E.; Carlomagno, S.; Pesce, S.; Moretta, A.; Sivori, S. NK/DC crosstalk in anti-viral response. Adv. Exp. Med. Biol. 2012, 946, 295–308. [Google Scholar] [CrossRef]
  129. Zouk, H.; D’Hennezel, E.; Du, X.; Ounissi-Benkalha, H.; Piccirillo, C.A.; Polychronakos, C. Functional evaluation of the role of C-type lectin domain family 16A at the chromosome 16p13 locus. Clin. Exp. Immunol. 2014, 175, 485–497. [Google Scholar] [CrossRef] [PubMed]
  130. Wu, X.; Li, J.; Chen, C.; Yan, Y.; Jiang, S.; Wu, X.; Shao, B.; Xu, J.; Kang, L.; Huang, Y.; et al. Involvement of CLEC16A in activation of astrocytes after LPS treated. Neurochem. Res. 2012, 37, 5–14. [Google Scholar] [CrossRef] [PubMed]
  131. Villarroya-Beltri, C.; Guerra, S.; Sanchez-Madrid, F. ISGylation—A key to lock the cell gates for preventing the spread of threats. J. Cell Sci. 2017, 130, 2961–2969. [Google Scholar] [CrossRef] [PubMed]
  132. Zhang, D.; Zhang, D.E. Interferon-stimulated gene 15 and the protein ISGylation system. J. Interferon Cytokine Res. 2011, 31, 119–130. [Google Scholar] [CrossRef] [PubMed]
  133. Wang, R.G.; Kaul, M.; Zhang, D.X. Interferon-stimulated gene 15 as a general marker for acute and chronic neuronal injuries. Sheng Li Xue Bao 2012, 64, 577–583. [Google Scholar]
  134. Desai, S.; Juncker, M.; Kim, C. Regulation of mitophagy by the ubiquitin pathway in neurodegenerative diseases. Exp. Biol. Med. (Maywood) 2018, 243, 554–562. [Google Scholar] [CrossRef]
  135. Albert, M.; Becares, M.; Falqui, M.; Fernandez-Lozano, C.; Guerra, S. ISG15, a Small Molecule with Huge Implications: Regulation of Mitochondrial Homeostasis. Viruses 2018, 10, 629. [Google Scholar] [CrossRef]
  136. Im, E.; Yoo, L.; Hyun, M.; Shin, W.H.; Chung, K.C. Covalent ISG15 conjugation positively regulates the ubiquitin E3 ligase activity of parkin. Open Biol. 2016, 6, 160193. [Google Scholar] [CrossRef]
  137. D’Cunha, J.; Knight, E., Jr.; Haas, A.L.; Truitt, R.L.; Borden, E.C. Immunoregulatory properties of ISG15, an interferon-induced cytokine. Proc. Natl. Acad. Sci. USA 1996, 93, 211–215. [Google Scholar] [CrossRef]
  138. Hofer, S.J.; Liang, Y.; Zimmermann, A.; Schroeder, S.; Dengjel, J.; Kroemer, G.; Eisenberg, T.; Sigrist, S.J.; Madeo, F. Spermidine-induced hypusination preserves mitochondrial and cognitive function during aging. Autophagy 2021, 17, 2037–2039. [Google Scholar] [CrossRef] [PubMed]
  139. Yang, X.; Zhang, M.; Dai, Y.; Sun, Y.; Aman, Y.; Xu, Y.; Yu, P.; Zheng, Y.; Yang, J.; Zhu, X. Spermidine inhibits neurodegeneration and delays aging via the PINK1-PDR1-dependent mitophagy pathway in C. elegans. Aging (Albany NY) 2020, 12, 16852–16866. [Google Scholar] [CrossRef]
  140. Qi, Y.; Qiu, Q.; Gu, X.; Tian, Y.; Zhang, Y. ATM mediates spermidine-induced mitophagy via PINK1 and Parkin regulation in human fibroblasts. Sci. Rep. 2016, 6, 24700. [Google Scholar] [CrossRef]
  141. Ryu, D.; Mouchiroud, L.; Andreux, P.A.; Katsyuba, E.; Moullan, N.; Nicolet-Dit-Felix, A.A.; Williams, E.G.; Jha, P.; Lo Sasso, G.; Huzard, D.; et al. Urolithin A induces mitophagy and prolongs lifespan in C. elegans and increases muscle function in rodents. Nat. Med. 2016, 22, 879–888. [Google Scholar] [CrossRef]
  142. Cho, S.I.; Jo, E.R.; Song, H. Urolithin A attenuates auditory cell senescence by activating mitophagy. Sci. Rep. 2022, 12, 7704. [Google Scholar] [CrossRef] [PubMed]
  143. Zhang, C.; Song, Y.; Chen, L.; Chen, P.; Yuan, M.; Meng, Y.; Wang, Q.; Zheng, G.; Qiu, Z. Urolithin A Attenuates Hyperuricemic Nephropathy in Fructose-Fed Mice by Impairing STING-NLRP3 Axis-Mediated Inflammatory Response via Restoration of Parkin-Dependent Mitophagy. Front. Pharm. 2022, 13, 907209. [Google Scholar] [CrossRef] [PubMed]
  144. Qiu, J.; Chen, Y.; Zhuo, J.; Zhang, L.; Liu, J.; Wang, B.; Sun, D.; Yu, S.; Lou, H. Urolithin A promotes mitophagy and suppresses NLRP3 inflammasome activation in lipopolysaccharide-induced BV2 microglial cells and MPTP-induced Parkinson’s disease model. Neuropharmacology 2022, 207, 108963. [Google Scholar] [CrossRef]
  145. Wang, H.; Fu, J.; Xu, X.; Yang, Z.; Zhang, T. Rapamycin Activates Mitophagy and Alleviates Cognitive and Synaptic Plasticity Deficits in a Mouse Model of Alzheimer’s Disease. J. Gerontol. A Biol. Sci. Med. Sci. 2021, 76, 1707–1713. [Google Scholar] [CrossRef]
  146. Ramalingam, M.; Huh, Y.J.; Lee, Y.I. The Impairments of alpha-Synuclein and Mechanistic Target of Rapamycin in Rotenone-Induced SH-SY5Y Cells and Mice Model of Parkinson’s Disease. Front. Neurosci. 2019, 13, 1028. [Google Scholar] [CrossRef] [PubMed]
  147. Li, Q.; Zhang, T.; Wang, J.; Zhang, Z.; Zhai, Y.; Yang, G.Y.; Sun, X. Rapamycin attenuates mitochondrial dysfunction via activation of mitophagy in experimental ischemic stroke. Biochem. Biophys. Res. Commun. 2014, 444, 182–188. [Google Scholar] [CrossRef] [PubMed]
  148. Bove, J.; Martinez-Vicente, M.; Vila, M. Fighting neurodegeneration with rapamycin: Mechanistic insights. Nat. Rev. Neurosci. 2011, 12, 437–452. [Google Scholar] [CrossRef]
  149. Tsang, C.K.; Qi, H.; Liu, L.F.; Zheng, X.F. Targeting mammalian target of rapamycin (mTOR) for health and diseases. Drug Discov. Today 2007, 12, 112–124. [Google Scholar] [CrossRef]
  150. Rowinsky, E.K. Targeting the molecular target of rapamycin (mTOR). Curr. Opin. Oncol. 2004, 16, 564–575. [Google Scholar] [CrossRef]
  151. Shah, S.Z.A.; Zhao, D.; Hussain, T.; Yang, L. Role of the AMPK pathway in promoting autophagic flux via modulating mitochondrial dynamics in neurodegenerative diseases: Insight into prion diseases. Ageing Res. Rev. 2017, 40, 51–63. [Google Scholar] [CrossRef]
  152. Hardie, D.G. AMPK: A target for drugs and natural products with effects on both diabetes and cancer. Diabetes 2013, 62, 2164–2172. [Google Scholar] [CrossRef] [PubMed]
  153. Bharath, L.P.; Agrawal, M.; McCambridge, G.; Nicholas, D.A.; Hasturk, H.; Liu, J.; Jiang, K.; Liu, R.; Guo, Z.; Deeney, J.; et al. Metformin Enhances Autophagy and Normalizes Mitochondrial Function to Alleviate Aging-Associated Inflammation. Cell Metab. 2020, 32, 44–55 e46. [Google Scholar] [CrossRef] [PubMed]
  154. Lee, S.Y.; Moon, S.J.; Kim, E.K.; Seo, H.B.; Yang, E.J.; Son, H.J.; Kim, J.K.; Min, J.K.; Park, S.H.; Cho, M.L. Metformin Suppresses Systemic Autoimmunity in Roquin(san/san) Mice through Inhibiting B Cell Differentiation into Plasma Cells via Regulation of AMPK/mTOR/STAT3. J. Immunol. 2017, 198, 2661–2670. [Google Scholar] [CrossRef]
  155. Song, Y.M.; Lee, W.K.; Lee, Y.H.; Kang, E.S.; Cha, B.S.; Lee, B.W. Metformin Restores Parkin-Mediated Mitophagy, Suppressed by Cytosolic p53. Int. J. Mol. Sci. 2016, 17, 122. [Google Scholar] [CrossRef] [PubMed]
  156. Paintlia, A.S.; Mohan, S.; Singh, I. Combinatorial Effect of Metformin and Lovastatin Impedes T-cell Autoimmunity and Neurodegeneration in Experimental Autoimmune Encephalomyelitis. J. Clin. Cell Immunol. 2013, 4, 3. [Google Scholar] [CrossRef] [PubMed]
  157. Pineda-Ramirez, N.; Alquisiras-Burgos, I.; Ortiz-Plata, A.; Ruiz-Tachiquin, M.E.; Espinoza-Rojo, M.; Aguilera, P. Resveratrol Activates Neuronal Autophagy Through AMPK in the Ischemic Brain. Mol. Neurobiol. 2020, 57, 1055–1069. [Google Scholar] [CrossRef]
  158. Sebori, R.; Kuno, A.; Hosoda, R.; Hayashi, T.; Horio, Y. Resveratrol Decreases Oxidative Stress by Restoring Mitophagy and Improves the Pathophysiology of Dystrophin-Deficient mdx Mice. Oxid. Med. Cell Longev. 2018, 2018, 9179270. [Google Scholar] [CrossRef] [PubMed]
  159. Wan, W.; Hua, F.; Fang, P.; Li, C.; Deng, F.; Chen, S.; Ying, J.; Wang, X. Regulation of Mitophagy by Sirtuin Family Proteins: A Vital Role in Aging and Age-Related Diseases. Front. Aging Neurosci. 2022, 14, 845330. [Google Scholar] [CrossRef]
  160. Chu, X.; Raju, R.P. Regulation of NAD(+) metabolism in aging and disease. Metabolism 2022, 126, 154923. [Google Scholar] [CrossRef]
  161. Kulkarni, S.S.; Canto, C. Mitochondrial Post-translational Modifications and Metabolic Control: Sirtuins and Beyond. Curr. Diabetes Rev. 2017, 13, 338–351. [Google Scholar] [CrossRef] [PubMed]
  162. Procaccio, V.; Bris, C.; Chao de la Barca, J.M.; Oca, F.; Chevrollier, A.; Amati-Bonneau, P.; Bonneau, D.; Reynier, P. Perspectives of drug-based neuroprotection targeting mitochondria. Rev. Neurol. 2014, 170, 390–400. [Google Scholar] [CrossRef] [PubMed]
  163. Li, W.; Yuan, J. Targeting RIPK1 kinase for modulating inflammation in human diseases. Front. Immunol. 2023, 14, 1159743. [Google Scholar] [CrossRef]
  164. Kaur, S.; Sharma, N.; Kumar, V.; Sharma, D.; Devi, B.; Kapil, L.; Singh, C.; Singh, A. The Role of Mitophagy in Various Neurological Diseases as a Therapeutic Approach. Cell Mol. Neurobiol. 2022. [Google Scholar] [CrossRef] [PubMed]
  165. Slee, E.A.; Zhu, H.; Chow, S.C.; MacFarlane, M.; Nicholson, D.W.; Cohen, G.M. Benzyloxycarbonyl-Val-Ala-Asp (OMe) fluoromethylketone (Z-VAD.FMK) inhibits apoptosis by blocking the processing of CPP32. Biochem. J. 1996, 315 Pt 1, 21–24. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Schematic depicting the chromosome16p13 genetic region comprising CIITA (Class II Major Histocompatibility Complex Transactivator), DEXI (homolog, cytotoxic suppression), CLEC16A (C-type lectin domain family 16, member A), SOCS1 (Suppressor of Cytokine Signaling 1), and RMI2 (RecQ Mediated Genome Instability 2). (Genome Reference Consortium Human Build 38 (GRCh38), chromosome 16: 10.971.055–11.349.335).
Figure 1. Schematic depicting the chromosome16p13 genetic region comprising CIITA (Class II Major Histocompatibility Complex Transactivator), DEXI (homolog, cytotoxic suppression), CLEC16A (C-type lectin domain family 16, member A), SOCS1 (Suppressor of Cytokine Signaling 1), and RMI2 (RecQ Mediated Genome Instability 2). (Genome Reference Consortium Human Build 38 (GRCh38), chromosome 16: 10.971.055–11.349.335).
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Figure 2. CLEC16A disease association timeline. CLEC16A association with 18 diseases described to date: T1D was the first disease to show genome-wide association (GWA) with CLEC16A, in 2007, followed by MS. Parkinson’s disease is the latest disease to be associated with CLEC16A, reported in 2021.
Figure 2. CLEC16A disease association timeline. CLEC16A association with 18 diseases described to date: T1D was the first disease to show genome-wide association (GWA) with CLEC16A, in 2007, followed by MS. Parkinson’s disease is the latest disease to be associated with CLEC16A, reported in 2021.
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Figure 3. The 18 autoimmune disease-associated single nucleotide polymorphisms (SNPs) and their localization are depicted on the 238 kb CLEC16A gene. The chromosome 16p13.13 locus ~530 kb long region is the house of four genes (CIITA-DEXI-CLEC16A-SOCS1). CLEC16A is flanked by two neighboring genes: CIITA, which is required for the expression of MHC Class II, and SOCS1, a negative modulator of cytokine signaling. Primary adrenal insufficiency (PAI), allergic rhinitis (AR), alopecia areata (AA), asthma, autoimmune thyroid diseases (ATD), Celiac disease, common variable immunodeficiency (CVID), Crohn’s disease (CD), eosinophilic esophagitis (EE), juvenile idiopathic arthritis (JIA), multiple sclerosis (MS), Parkinson’s disease (PD), primary biliary cirrhosis (PBC), rheumatoid arthritis (RA), selective IgA deficiency, systemic lupus erythematosus (SLE), systemic sclerosis, and type 1 diabetes (T1D).
Figure 3. The 18 autoimmune disease-associated single nucleotide polymorphisms (SNPs) and their localization are depicted on the 238 kb CLEC16A gene. The chromosome 16p13.13 locus ~530 kb long region is the house of four genes (CIITA-DEXI-CLEC16A-SOCS1). CLEC16A is flanked by two neighboring genes: CIITA, which is required for the expression of MHC Class II, and SOCS1, a negative modulator of cytokine signaling. Primary adrenal insufficiency (PAI), allergic rhinitis (AR), alopecia areata (AA), asthma, autoimmune thyroid diseases (ATD), Celiac disease, common variable immunodeficiency (CVID), Crohn’s disease (CD), eosinophilic esophagitis (EE), juvenile idiopathic arthritis (JIA), multiple sclerosis (MS), Parkinson’s disease (PD), primary biliary cirrhosis (PBC), rheumatoid arthritis (RA), selective IgA deficiency, systemic lupus erythematosus (SLE), systemic sclerosis, and type 1 diabetes (T1D).
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Figure 4. CLEC16A functions in autophagy. Autophagy comprises initiation, membrane nucleation, phagophore formation, phagophore expansion, fusion with the lysosome, degradation, and recycling. Initiation: Autophagy is initiated by the formation of a phagophore, a double-membraned structure that forms around the targeted cellular component. Once the phagophore is formed, it elongates and expands, forming the autophagosome. This process is mediated by the ATG12-ATG5-ATG16L complex and the LC3 protein, which is then lipidated and inserted into the growing autophagosome membrane. Maturation: The autophagosome then fuses with a lysosome, forming an autolysosome. The lysosome contains digestive enzymes that break down the contents of the autophagosome, allowing for the recycling of cellular components. Degradation: The degraded components are then released back into the cytoplasm for reuse by the cell. AMPK, mTOR, and ULK complex are all involved in the regulation of autophagy. AMPK (AMP-activated protein kinase) is a key energy-sensing enzyme that is activated in response to energy depletion. Activated AMPK stimulates autophagy by phosphorylating and activating ULK1, a protein involved in the initiation of autophagy. Autophagy induction is known to be inhibited by CLEC16A. Under starvation, CLEC16A clusters in the Golgi to interact with an unidentified mediator that would activate the mTORC1 complex fully once nutrients are available. It is speculated that CLEC16A regulates mTOR by controlling the stability and/or degradation of Rheb, which requires further investigation.
Figure 4. CLEC16A functions in autophagy. Autophagy comprises initiation, membrane nucleation, phagophore formation, phagophore expansion, fusion with the lysosome, degradation, and recycling. Initiation: Autophagy is initiated by the formation of a phagophore, a double-membraned structure that forms around the targeted cellular component. Once the phagophore is formed, it elongates and expands, forming the autophagosome. This process is mediated by the ATG12-ATG5-ATG16L complex and the LC3 protein, which is then lipidated and inserted into the growing autophagosome membrane. Maturation: The autophagosome then fuses with a lysosome, forming an autolysosome. The lysosome contains digestive enzymes that break down the contents of the autophagosome, allowing for the recycling of cellular components. Degradation: The degraded components are then released back into the cytoplasm for reuse by the cell. AMPK, mTOR, and ULK complex are all involved in the regulation of autophagy. AMPK (AMP-activated protein kinase) is a key energy-sensing enzyme that is activated in response to energy depletion. Activated AMPK stimulates autophagy by phosphorylating and activating ULK1, a protein involved in the initiation of autophagy. Autophagy induction is known to be inhibited by CLEC16A. Under starvation, CLEC16A clusters in the Golgi to interact with an unidentified mediator that would activate the mTORC1 complex fully once nutrients are available. It is speculated that CLEC16A regulates mTOR by controlling the stability and/or degradation of Rheb, which requires further investigation.
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Figure 5. CLEC16A function in mitophagy. Mitophagy is a form of selective autophagy that targets damaged mitochondria for degradation via either the Parkin-dependent or Parkin-independent pathways. Autophagy receptors (P62, NBR1, NDP52, OPT), Ubiquitin, and ubiquitin-binding proteins are involved in the Parkin/PINK1-dependent mitophagy. Parkin-independent mitophagy involves the use of multiple mitophagy receptors (BNIP3, Nix/BNIP3L, FUNDC1, BCL2L13, and FKBP8) to target damaged mitochondria to the LC3-mediated autophagy machinery for clearance. The schematic depicts Parkin/PINK1-dependent mitophagy. AMPK, mTOR, and ULK complexes are also involved in the regulation of mitophagy. The normal mitophagy process comprises mitophagy initiation, membrane nucleation, phagophore formation, recognition of damaged mitochondria, phagophore expansion to form mature mitophagosome, fusion with the lysosome, and degradation (1). CLEC16A hypofunction leads to dysregulated autophagy and the accumulation of unhealthy mitochondria (2). Maintenance of the CLEC16A-NRDP1-USP8 mitophagy complex is crucial for promoting optimal cellular respiration and insulin secretion. Dysregulated mitophagy can lead to a buildup of damaged mitochondria and an increase in oxidative stress, ultimately leading to β-cell dysfunction and death. Similarly, in neurodegenerative diseases such as Parkinson’s, dysregulated mitophagy can lead to an accumulation of damaged mitochondria and impaired energy metabolism in neurons. This can contribute to neuronal dysfunction and death, as well as the accumulation of toxic protein aggregates that are characteristic of these diseases.
Figure 5. CLEC16A function in mitophagy. Mitophagy is a form of selective autophagy that targets damaged mitochondria for degradation via either the Parkin-dependent or Parkin-independent pathways. Autophagy receptors (P62, NBR1, NDP52, OPT), Ubiquitin, and ubiquitin-binding proteins are involved in the Parkin/PINK1-dependent mitophagy. Parkin-independent mitophagy involves the use of multiple mitophagy receptors (BNIP3, Nix/BNIP3L, FUNDC1, BCL2L13, and FKBP8) to target damaged mitochondria to the LC3-mediated autophagy machinery for clearance. The schematic depicts Parkin/PINK1-dependent mitophagy. AMPK, mTOR, and ULK complexes are also involved in the regulation of mitophagy. The normal mitophagy process comprises mitophagy initiation, membrane nucleation, phagophore formation, recognition of damaged mitochondria, phagophore expansion to form mature mitophagosome, fusion with the lysosome, and degradation (1). CLEC16A hypofunction leads to dysregulated autophagy and the accumulation of unhealthy mitochondria (2). Maintenance of the CLEC16A-NRDP1-USP8 mitophagy complex is crucial for promoting optimal cellular respiration and insulin secretion. Dysregulated mitophagy can lead to a buildup of damaged mitochondria and an increase in oxidative stress, ultimately leading to β-cell dysfunction and death. Similarly, in neurodegenerative diseases such as Parkinson’s, dysregulated mitophagy can lead to an accumulation of damaged mitochondria and impaired energy metabolism in neurons. This can contribute to neuronal dysfunction and death, as well as the accumulation of toxic protein aggregates that are characteristic of these diseases.
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Figure 6. The multifaceted role of CLEC16A in receptor recycling in NK cells is illustrated in a schematic diagram, emphasizing the delicate balance required for NK cell function and homeostasis. The amount of CLEC16A protein is critical for maintaining this balance, as illustrated. In the left panel (1), the normal level of endogenous CLEC16A (yellow triangle) is shown to regulate receptor trafficking by participating in endosome recycling. CLEC16A binds to the Hrs/Actinin-4/BERP/Myosin V (CART) complex, facilitating the transport of receptor-enriched endosomes to the cell surface membrane. The amount of CLEC16A protein serves as a checkpoint for NK cells. Overexpression of CLEC16A (purple triangle, middle panel, 2) leads to its own ubiquitination, resulting in increased association with the CART complex, thereby disrupting efficient receptor recycling. Consequently, receptors are targeted for degradation through autophagy, leading to attenuated receptor signaling. Loss of CLEC16A (right panel, 3) leads to disrupted mitophagy and the accumulation of unhealthy mitochondria. CLEC16A stabilizes and prevents the proteasomal degradation of Nrdp1, which limits the recruitment of Parkin to the mitochondrial surface and promotes autophagosome-lysosome fusion during the late stages of mitophagy.
Figure 6. The multifaceted role of CLEC16A in receptor recycling in NK cells is illustrated in a schematic diagram, emphasizing the delicate balance required for NK cell function and homeostasis. The amount of CLEC16A protein is critical for maintaining this balance, as illustrated. In the left panel (1), the normal level of endogenous CLEC16A (yellow triangle) is shown to regulate receptor trafficking by participating in endosome recycling. CLEC16A binds to the Hrs/Actinin-4/BERP/Myosin V (CART) complex, facilitating the transport of receptor-enriched endosomes to the cell surface membrane. The amount of CLEC16A protein serves as a checkpoint for NK cells. Overexpression of CLEC16A (purple triangle, middle panel, 2) leads to its own ubiquitination, resulting in increased association with the CART complex, thereby disrupting efficient receptor recycling. Consequently, receptors are targeted for degradation through autophagy, leading to attenuated receptor signaling. Loss of CLEC16A (right panel, 3) leads to disrupted mitophagy and the accumulation of unhealthy mitochondria. CLEC16A stabilizes and prevents the proteasomal degradation of Nrdp1, which limits the recruitment of Parkin to the mitochondrial surface and promotes autophagosome-lysosome fusion during the late stages of mitophagy.
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Figure 7. A hypothetical model for CLEC16A hypofunction and rescue by mitophagy/autophagy modulation. CLEC16A hypofunction leads to a vicious cycle of mitophagy/autophagy impairment and sustained ER stress. To restore cellular homeostasis in response to mitochondrial dysfunction mTOR, AMPK, and SIRT1 UPR-ER stress pathways, SOCS-mediated JAK-STAT signaling, apoptosis, and necro-apoptosis pathways can be targeted.
Figure 7. A hypothetical model for CLEC16A hypofunction and rescue by mitophagy/autophagy modulation. CLEC16A hypofunction leads to a vicious cycle of mitophagy/autophagy impairment and sustained ER stress. To restore cellular homeostasis in response to mitochondrial dysfunction mTOR, AMPK, and SIRT1 UPR-ER stress pathways, SOCS-mediated JAK-STAT signaling, apoptosis, and necro-apoptosis pathways can be targeted.
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Table
Table 1. Lead CLEC16A SNPs associated with 18 different autoimmune diseases.
Table 1. Lead CLEC16A SNPs associated with 18 different autoimmune diseases.
DiseaseSNPLocalizationCases/Controls/TriosSubject CohortReferencePubMed Link
(Accessed on 27 April 2023)
Primary
Adrenal
Insufficiency (PAI)		rs12917716 Intron 19542/1220Norway, UK[60] https://www.ncbi.nlm.nih.gov/pubmed/18593762
rs12917716Intron 19479/2394Sweden[59]https://pubmed.ncbi.nlm.nih.gov/29849176
Allergic
Rhinitis (AR)		rs7203459Intron 22762/760Han Chinese[81]https://pubmed.ncbi.nlm.nih.gov/32082391
rs2286973Exon 19995/1004Chinese
population		[80]https://pubmed.ncbi.nlm.nih.gov/36588789
rs887864Intron 19
rs12935657Intron 21
rs11645657Intron 22
rs36045143Intron 22
Alopecia
Areata (AA)		rs998592Intron 191702/1723European
ancestry		[67] https://www.ncbi.nlm.nih.gov/pubmed/22534877
rs3862469Intron 192332/5233European
ancestry		[7]www.ncbi.nlm.nih.gov/pubmed/25608926
Asthmars62026376Intron 226685/14,091European
ancestry		[103]www.ncbi.nlm.nih.gov/pubmed/24388013
rs7203459Intron 2228,399/128,843European
ancestry		[79]www.ncbi.nlm.nih.gov/pubmed/27182965
rs9923856Intron 191750/9245African and European Americans [78]www.ncbi.nlm.nih.gov/pubmed/27611488
rs62026377Intron 22
rs17806299Intron 1919,954/107,715European
ancestry		[77]www.ncbi.nlm.nih.gov/pubmed/29273806
rs36045143Intron 2239,770/76,768European
ancestry		[76]www.ncbi.nlm.nih.gov/pubmed/29785011
rs12935657Intron 2140,544/300,671European
ancestry		[104]www.ncbi.nlm.nih.gov/pubmed/30929738
rs35441874Intron 19
rs35032408Intron 2021,564/318,237British ancestry [75]www.ncbi.nlm.nih.gov/pubmed/31036433
rs7203459Intron 225135/25,675European
ancestry		[74]www.ncbi.nlm.nih.gov/pubmed/30552067
rs35441874Intron 1946,802/347,481European
ancestry		[76]www.ncbi.nlm.nih.gov/pubmed/31619474
rs35441874Intron 1956,167/352,255European
ancestry		[73]https://pubmed.ncbi.nlm.nih.gov/34103634
Autoimmune
Thyroid
Diseases (ATD)		rs2903692Intron 22330621Japanese[42] https://pubmed.ncbi.nlm.nih.gov/18940880
rs6498169Intron 22667/301Chinese Han[82]https://www.ncbi.nlm.nih.gov/pubmed/24646814
Celiac Diseasers12928822intergenic4,533/10,700European
populations		[85]https://pubmed.ncbi.nlm.nih.gov/20190752
Common
Variable
Immunodeficiency (CVID)		rs17806056Intron 19778/10,999Sweden,
Norway, USA, UK, Germany		[83]https://www.ncbi.nlm.nih.gov/pubmed/25891430
Crohn’s
Disease (CD)		 rs2903692Intron 221264/890Spain [65]https://www.ncbi.nlm.nih.gov/pubmed/19337309
Eosinophilic Esophagitis (EE)rs12924112Intron 211214/3734European ancestry[84]https://pubmed.ncbi.nlm.nih.gov/29904099
Juvenile
Idiopathic
Arthritis (JIA)		rs6498169Intron 221318/2149Norway[68]https://www.ncbi.nlm.nih.gov/pubmed/19734133
Multiple
Sclerosis (MS)		rs6498169Intron 222322/5418/1540European
ancestry		[46]www.ncbi.nlm.nih.gov/pubmed/17660530
rs6498169Intron 221146/1309Australia [47] https://www.ncbi.nlm.nih.gov/pubmed/18650830
rs11865121Intron 192624/7220European
ancestry		[49]www.ncbi.nlm.nih.gov/pubmed/19525953
rs725613 Intron 191498/1706Sardinia[35]https://www.ncbi.nlm.nih.gov/pubmed/18946483
rs12708716 Intron 195737/10,296/
2369		Australia, Belgium, Norway, Sweden, UK, USA [50] https://www.ncbi.nlm.nih.gov/pubmed/18987646
rs6498169Intron 191146/1309Europe[51] https://www.ncbi.nlm.nih.gov/pubmed/19375175
rs6498146Intron 10
rs741177 Intron 18
rs876476Intron 18
rs11863016 Intron 22
rs9937607 Intron 22
rs6498169 Intron 22211/182 (+521 multiplex controls)UK[48]https://www.ncbi.nlm.nih.gov/pubmed/19506219
rs6498169 Intron 221853/2128Holland,
Canada		[105]https://www.ncbi.nlm.nih.gov/pubmed/19834503
rs6498169 Intron 22435/550Spain [36]https://www.ncbi.nlm.nih.gov/pubmed/19221398
rs12708716 Intron 19918/656African
Americans		[52] https://www.ncbi.nlm.nih.gov/pubmed/19865102
rs6498169Intron 22
rs2080272Intron 19
rs7200786Intron 199772/16,849 European
ancestry		[55]www.ncbi.nlm.nih.gov/pubmed/21833088
rs2041670 Intron 19603/825Europe[53]https://www.ncbi.nlm.nih.gov/pubmed/20849399
rs998592Intron 19197/197India [54]https://www.ncbi.nlm.nih.gov/pubmed/20952449
rs12708716 Intron 19
rs12708716 Intron 193102/5047/1113 Norway, UK[18]https://www.ncbi.nlm.nih.gov/pubmed/21179112
rs7206912 Intron 22
rs6498169 Intron 22
rs7184083 Intron 221343/1379UK, US[19]https://www.ncbi.nlm.nih.gov/pubmed/21653641
rs12927355Intron 1914,498/24,091European
ancestry		[56]www.ncbi.nlm.nih.gov/pubmed/24076602
rs4780346 Intragenic region
rs6498168Intron 224888/10,395German
ancestry		[57] www.ncbi.nlm.nih.gov/pubmed/27386562
rs6498160Intron 192273/2148Sardinian[58]www.ncbi.nlm.nih.gov/pubmed/28445677
Parkinson’s
Disease (PD)		rs7200786Intron 19342/503European
population		[87]https://pubmed.ncbi.nlm.nih.gov/34149802
rs6498169Intron 22515/504Han Chinese[88]https://pubmed.ncbi.nlm.nih.gov/35432448
rs12708716Intron 19
rs12917716Intron 19
rs7200786Intron 19
rs2903692Intron 19
Primary Biliary Cirrhosis (PBC)rs12924729 Intron 192460/7677UK[72]www.ncbi.nlm.nih.gov/pubmed/21399635
rs12708715Intron 192861/8514British and Irish ancestry[70]www.ncbi.nlm.nih.gov/pubmed/22961000
rs12708715Intron 19 http://www.ncbi.nlm.nih.gov/pubmed/22961000
rs58102322Intron 181450/2967Europe[71]https://www.ncbi.nlm.nih.gov/pubmed/22257840
rs12924129Intron 19
rs12924729Intron 192764/10,475European
ancestry		[69]www.ncbi.nlm.nih.gov/pubmed/26394269
Rheumatoid
Arthritis (RA)		rs6498169 Intron 22600/550Spain [36]https://www.ncbi.nlm.nih.gov/pubmed/19221398
rs6498169 Intron 221318/2149Norway[68]https://www.ncbi.nlm.nih.gov/pubmed/19734133
Selective IgA
Deficiency		rs34069391Intron 191635/4852European
ancestry		[66]www.ncbi.nlm.nih.gov/pubmed/27723758
Systemic
Lupus
Erythematosus (SLE)		rs12599402Intron 191656/3394Han Chinese[64] www.ncbi.nlm.nih.gov/pubmed/23273568
rs7200786Intron 195201/9066European
ancestry		[63]www.ncbi.nlm.nih.gov/pubmed/26502338
rs9652601Intron 19
rs9652601Intron 195695/10,352Chinese and European
ancestry		[62] www.ncbi.nlm.nih.gov/pubmed/27399966
rs9652601Intron 196748/11,516European
ancestry		[61]www.ncbi.nlm.nih.gov/pubmed/28714469
rs2041670Intron 19
rs8054198UTR
Systemic
Sclerosis		rs1646066intergenic291/260African
Americans		[86]https://pubmed.ncbi.nlm.nih.gov/29293537
Type 1
Diabetes
(T1D)		rs12708716Intron 192000/3000European
ancestry		[34]www.ncbi.nlm.nih.gov/pubmed/17554260
rs12708716Intron 191963/2938European
ancestry		[32]www.ncbi.nlm.nih.gov/pubmed/17554300
rs725613Intron 191896/1146/873European
ancestry		[1]www.ncbi.nlm.nih.gov/pubmed/17632545
rs2903692Intron 22
rs17673553Intron 22
rs12708716Intron 193561/4646European
ancestry		[33]www.ncbi.nlm.nih.gov/pubmed/18978792
rs12708716Intron 197514/9045European
ancestry		[43]www.ncbi.nlm.nih.gov/pubmed/19430480
rs2903692 Intron 22735/621Japan [42]https://www.ncbi.nlm.nih.gov/pubmed/18940880
rs725613Intron 191037/1706Italy (Sardinia) [35]https://www.ncbi.nlm.nih.gov/pubmed/18946483
rs725613 Intron 19205/422China (Han) [39]https://www.ncbi.nlm.nih.gov/pubmed/19178520
rs6498169Intron 22316/550Spain[36]https://pubmed.ncbi.nlm.nih.gov/19221398
rs12708716 Intron 191212/2513Germany[41]https://www.ncbi.nlm.nih.gov/pubmed/21873553
rs2903692 Intron 221743/790Japan [40]https://www.ncbi.nlm.nih.gov/pubmed/22069271
rs12708716Intron 198506/10,596European ancestry[44]www.ncbi.nlm.nih.gov/pubmed/21829393
rs12921922Intron 4131/121China[38]https://www.ncbi.nlm.nih.gov/pubmed/22778732
rs12931878Intron 1
rs12927355Intron 196683/12,173/69 and 2601 affected sibling pair familiesEuropean ancestry[45]www.ncbi.nlm.nih.gov/pubmed/25751624
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Pandey, R.; Bakay, M.; Hakonarson, H. CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration. Int. J. Mol. Sci. 2023, 24, 8224. https://doi.org/10.3390/ijms24098224

AMA Style

Pandey R, Bakay M, Hakonarson H. CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration. International Journal of Molecular Sciences. 2023; 24(9):8224. https://doi.org/10.3390/ijms24098224

Chicago/Turabian Style

Pandey, Rahul, Marina Bakay, and Hakon Hakonarson. 2023. "CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration" International Journal of Molecular Sciences 24, no. 9: 8224. https://doi.org/10.3390/ijms24098224

APA Style

Pandey, R., Bakay, M., & Hakonarson, H. (2023). CLEC16A—An Emerging Master Regulator of Autoimmunity and Neurodegeneration. International Journal of Molecular Sciences, 24(9), 8224. https://doi.org/10.3390/ijms24098224

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