Search Results (29)

Metabolic dysfunction-associated steatotic liver disease (MASLD) has traditionally been conceptualized as a predominantly metabolic disorder driven by obesity and insulin resistance. However, recent advances in human genetics have revealed a more complex picture that encompasses germline susceptibility variants, protective loss-of-function alleles, polygenic risk models, and somatic clonal evolution. Since the discovery of PNPLA3 (patatin-like phospholipase domain-containing 3) I148M, multiple loci—including TM6SF2, MBOAT7, GCKR, HSD17B13, MTARC1, GPAM, and CIDEB—have substantially expanded the mechanistic understanding of disease heterogeneity and hepatocellular vulnerability. Recent studies integrating partitioned polygenic risk scores and unsupervised phenotypic clustering suggest that MASLD may be organized into at least two predominant subtypes: a liver-specific subtype characterized by intrinsic hepatocellular susceptibility, and a cardiometabolic subtype associated with systemic metabolic dysfunction and increased cardiovascular risk. Analyses of cirrhotic liver tissue have, in turn, demonstrated somatic clonal expansion of hepatocytes harboring adaptive metabolic mutations, adding an evolutionary dimension to advanced disease. On this basis, we propose an integrated LS/CM/C framework encompassing liver-specific (LS), cardiometabolic (CM), and clonal (C) components. This model offers a conceptual structure that links germline genetics, metabolic heterogeneity, somatic adaptation, and emerging pharmacogenomic strategies. The recent development of genotype-directed therapies targeting PNPLA3 and HSD17B13, together with the approval of resmetirom and semaglutide, further supports the transition toward biologically stratified hepatology. Although prospective validation remains necessary, the convergence of genetics, clonal biology, and targeted therapeutics suggests that MASLD is moving toward an era of precision medicine. Full article

Background/Objectives: Genome-Wide Association Studies (GWASs) have revealed numerous Single Nucleotide Polymorphisms (SNPs) linked to diverse diseases and traits, highlighting extensive pleiotropy. This study aimed to identify functionally relevant pleiotropic genes through large-scale analysis of the GWAS catalog and variant annotation. Methods: An initial set of 494 putative pleiotropic genes across 223 phenotypes was refined using stringent criteria, yielding 343 SNP–trait associations corresponding to 53 SNPs mapped to 16 genes. Results: Five top-ranked genes were prioritized using a composite score, and their variants were fully annotated for genetic and clinical features. Approximately 70% of the SNPs were intronic, with five located in UTRs, and 11 in coding regions. ABO emerged as the highest-scoring pleiotropic gene, with six SNPs in strong linkage disequilibrium, implicating rs8176719 (c.261delG in exon 6) as the likely causal variant. ALDH2 showed 20 strong associations across two SNPs, with rs671 (E504K) identified as a key missense variant linked to multiple diseases. GCKR exhibited 29 associations across three SNPs, with rs1260326 (P446L) reducing glucokinase inhibition and enhancing hepatic glycolysis and triglyceride production. In HLA-DQA1, three of four SNPs located in UTRs suggested regulatory roles in gene expression. TERT displayed 59 GWAS signals, primarily cancer-related across seven organs, involving eight SNPs. Among these, rs10069690 in intron 4 has been associated with altered gene expression, while the functional impact of other variants remains to be clarified. Conclusions: This work highlights key pleiotropic genes and variants, offering insights into the genetic architecture and mechanisms underlying complex human diseases. Full article

Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) is now the most common liver disease worldwide, with a continuously increasing prevalence. The mechanisms involved in its pathophysiology are numerous and may include metabolic, environmental, and genetic factors. Genome-wide association studies have identified key genetic variants, most notably in PNPLA3, TM6SF2, MBOAT7, GCKR, and HSD17B13. This mini review discusses the mechanisms through which these variants contribute to the disease pathogenesis, an area that remains a rapidly evolving field of research. Beyond improving our understanding of MASLD, the identification of these variants may also aid in the development of targeted pharmacological approaches. We first summarize the major genetic variants associated with MASLD and then present findings from studies exploring how these variants may influence the efficacy of emerging pharmacotherapies. Finally, we examine the therapeutic agents in the field of precision medicine that are currently being tested in clinical trials. These therapeutic opportunities are a promising approach that may provide individualized solutions for this chronic liver disorder that affects a wide range of the population. Full article

Endometriosis is a hormone-dependent disease, in the pathophysiology of which sex hormones (androgens, estrogens, etc.) are involved. The level of bioactive androgens/estrogens (in the free state) in the organism largely depends on sex hormone-binding globulin (SHBG), which binds/transports a significant portion of the androgens/estrogens of the body and, due to this, changes the amount of these hormones in a free state (bioactive), which may be important in the development of endometriosis. The study was devoted to identifying the link between the genetic determinants (single nucleotide polymorphisms [SNPs]) of SHBG (according to predating genome-wide associative studies [GWAS]) and the risk of endometriosis in the Caucasian women of Russia. The study was accomplished on a total sample of 1368 women (395 endometriosis; 973 endometriosis free [controls]). Nine loci with an impact on SHBG level in predating GWAS have been examined. The search for associations of these loci with endometriosis was carried out: both their independent effects and interlocus interactions with an in silico interpretation of the functionality/pathways in which endometriosis-related loci and strongly linked SNPs were involved have been evaluated. Polymorphic locus rs440837 (A > G) ZBTB10 correlated with endometriosis development (recessive genetic model): the SHBG-raising genotype GG rs440837 (A > G) ZBTB10 serves as a risk factor for the disease formation; its presence in the genotype almost doubles the risk of endometriosis (OR = 1.91; 95%CI = 1.13–2.98; p_perm = 0.024; power = 81.13%). The SHBG-impacts of 7 SNPs from 9 analyzed loci such as rs17496332 (A > G) PRMT6, rs780093 (C > T) GCKR, rs10454142 (T > C) PPP1R21, rs3779195 (T > A) BAIAP2L1, rs440837 (A > G) ZBTB10, rs7910927 (G > T) JMJD1C, and rs8023580 (T > C) NR2F2 interacting with each other have been endometriosis-associated. Endometriosis-causal SNP rs440837 (A > G) ZBTB10 and 5 proxy SNPs determine the DNA interaction in the region of 3 genes (RP11-48B3.3, RP11-48B3.4, ZBTB10) with 22 transcription factors and, due to this, affect the processes of development of the endocrine system, gene transcription regulation, TGF-beta signaling pathway, regulation of cell proliferation/differentiation, etc. In conclusion, the results of this study showed the endometriosis risk effect of the SHBG-impact polymorphic variants. Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most prevalent chronic liver condition globally, driven by strong genetic and environmental components. This review summarizes recent advances in understanding the genetic architecture of MASLD. Genome-wide association studies (GWAS) have identified several key risk variants, primarily in genes such as PNPLA3, TM6SF2, GCKR, and MBOAT7, which influence hepatic lipid metabolism and disease progression. By utilizing surrogate markers of MASLD, researchers have also identified numerous putative MASLD-associated genes, warranting further investigation through functional genomics approaches. Next-generation sequencing techniques have uncovered rare variants in genes like APOB and ABCB4, as well as protective variants in HSD17B13 and CIDEB. This review discusses the potential of polygenic risk scores for disease stratification and the development of genetically informed therapeutic strategies. Additionally, it explores the future of functional genomics approaches in discovering novel treatment strategies. While the evolving genetic landscape of MASLD provides promising insights for precision medicine approaches in diagnosis, prognosis, and treatment, significant translational gaps remain. Addressing these challenges will be critical for realizing the full potential of personalised approaches in clinical management. This review synthesizes these findings and discusses their implications for future research and clinical practice in MASLD. Full article

As next-generation sequencing develops, there are significant associations between glucokinase regulatory protein (GCKR) variants and many diseases, especially metabolic diseases. However, there is a lack of solid descriptions and summaries of how GCKR variants lead to diseases and a lack of successful translations of drugs targeting this molecular variant. We searched literature datasets, mainly including PubMed and Web of Science, with “GCKR” or “GKRP”, “Variants”, “Hypertriglyceridemia”, “NAFLD”, and “Metabolic diseases” as the search terms. Our review firstly introduces the biological function of the GCKR gene and its encoding protein GKRP and then describes the GCKR variants in different diseases, such as hypertriglyceridemia and NAFLD, revealing that GCKR/GKPR is strongly associated with metabolic diseases. GKPR might be a potential target for T2D and other metabolic diseases. One drug for interfering with the GCK-GKRP complex has been developed and has shown its effectiveness in preclinical studies, with some possible side effects. More and more different-structured drugs should be developed to improve side effects, and more clinical trials should be carried out to determine the best intervention window and timing points to improve prognosis. Taken together, these insights show that GCKR/GKRP is significantly associated with many metabolic diseases via its complex metabolism system and is a potential target in many metabolic diseases. Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a growing public health concern influenced by both genetic and metabolic factors. Polygenic risk scores (PRSs), which combine the effects of known single-nucleotide polymorphisms (SNPs), may improve early risk stratification. We conducted an observational study on 298 MASLD patients: 148 from a Hepatology Unit and 150 from a Bariatric Surgery Unit. Genotyping was performed for the PNPLA3, TM6SF2, MBOAT7, and GCKR variants. A PRS was calculated and used to stratify patients by genetic risk. Liver fibrosis was assessed using the FIB-4 index, and a subset also underwent transient elastography. Clinical, biochemical, and anthropometric data were analyzed across genetic strata. PRSs showed positive correlations with AST, ALT, and FIB-4, indicating increased liver injury and fibrosis risk with higher genetic burden. Transaminases increased significantly across PRS quartiles (p < 0.05), and individuals with PRS > 0.532 exhibited elevated AST, ALT, and borderline FIB-4. Variant-specific associations included PNPLA3 with increased AST and MBOAT7 with higher hepatic steatosis (CAP). Subgroup analyses revealed distinct genetic and phenotypic patterns between the two clinical cohorts. These findings support the additive role of genetic risk in MASLD progression and underscore the value of polygenic profiling for the early identification and personalized management of high-risk patients. Full article

Background and Aims: Multiple genetic variants have been associated with disease prevalence and outcomes in middle-aged people with metabolic dysfunction-associated fatty liver disease (MAFLD). However, genetic studies in older adults have been lacking. We aimed to understand their clinical relevance in healthy older persons. Methods: A secondary analysis of the ASPREE (ASPirin in Reducing Events in the Elderly) randomized trial involving community-dwelling older adults ≥ 70 years without prior cardiovascular disease events or life-limiting illness at enrolment. The Fatty Liver Index (FLI) was used to identify MAFLD at baseline. We assessed the associations between six previously reported MAFLD-associated genetic variants with prevalent MAFLD at baseline, and the associations of these variants with cardiovascular disease events and all-cause mortality. Results: A total of 8756 participants with genetic data were stratified according to the FLI, with 3310 having MAFLD at baseline. The follow-up was for a median of 8.4 (IQR 7.3–9.5) years. Variants in two genes (GCKR and HSD17B13) were associated with prevalent MAFLD (p < 0.05); PNPLA3, TM6SF2, LYPLAL1, and MBOAT7 were not. PNPLA3, TM6SF2, HSD17B13, GCKR, and LYPLAL1 were not associated with major adverse cardiovascular events (MACEs) or mortality in the overall cohort or in participants with MAFLD during the follow-up (all p > 0.05). Within the MAFLD group, homozygosity for the rs641738 C > T variant in the MBOAT7 gene was associated with a reduced risk of MACEs (HR 0.68 [95% CI 0.48–0.97]), but not all-cause mortality (HR 1.14 [95% CI 0.89–1.47]). This protective association remained significant after adjusting for multiple key covariates (aHR 0.64 [95% CI 0.44–0.92]). The results were similar when using the metabolic dysfunction-associated steatotic liver disease definition rather than MAFLD. Conclusions: The rs641738 C > T variant in MBOAT7 may confer protection against MACEs in older adults with MAFLD, independent of other clinical risk factors. Further validation using external cohorts is needed. Full article

Hepatocellular carcinoma (HCC) is the most prevalent subtype of liver cancer with an increasing incidence worldwide. Single nucleotide polymorphisms (SNPs) may influence disease risk and serve as predictive markers. This study aimed to evaluate the association of PNPLA3 (rs738409 and rs2294918), GCKR (rs780094), MBOAT7 (rs641738), NCAN (rs2228603), and TM6SF2 (rs58542926) SNPs with the risk of developing HCC in a Mexican population. A case-control study was conducted in unrelated Mexican individuals. Cases were 173 adults with biopsy-confirmed HCC and 346 were healthy controls. Genotyping was performed using TaqMan allelic discrimination assay. Logistic regression was applied to evaluate associations under codominant, dominant, and recessive inheritance models. p-values were corrected using the Bonferroni test (pC). Haplotype and gene–gene interaction were also analyzed. The GG homozygous of rs738409 and rs2294918 of PNPLA3, TT, and TC genotypes of GCKR, as well as the TT genotype of MBOAT7, were associated with a significant increased risk to HCC under different inheritance models (~Two folds in all cases). The genotypes of NCAN and TM6SF2 did not show differences. The haplotype G-G of rs738409 and rs2294918 of PNPLA3 was associated with an increased risk of HCC [OR (95% CI) = 2.2 (1.7–2.9)]. There was a significant gene–gene interaction between PNPLA3 (rs738409), GCKR (rs780094), and MBOAT7 (rs641738) (Cross-validation consistency (CVC): 10/10; Testing accuracy = 0.6084). This study demonstrates for the first time that PNPLA3 (rs738409 and rs2294918), GCKR (rs780094), and MBOAT7 (rs641738) are associated with an increased risk of developing HCC from multiple etiologies in Mexican patients. Full article

Previous large-scale genetic studies identified single-nucleotide polymorphisms (SNPs) of the membrane bound O-acyltransferase domain containing 7 (MBOAT7) and patatin-like phospholipase domain containing 3 (PNPLA3) genes as risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD). However, this has not yet been investigated in Brazilian patients. In this study, we evaluated the association between the PNPLA3 variant rs738409 and MBOAT7 variant rs641738 and the risk of hepatic fibrosis or liver cirrhosis in MASLD etiology. In parallel, we also aimed to evaluate a protective SNP of the mitochondrial amidoxime-reducing component 1 (MTARC1) gene. We also evaluated TM6SF2 rs58542926, GCKR rs1260326 and rs780094, and HSD17B13 rs72613567 and they were not associated with liver fibrosis. The study was conducted at the Department of Gastroenterology and Nutrology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HCFMUSP), and included 113 patients with liver fibrosis (F0–F1), 99 patients with significant liver fibrosis (F2–F4), and 90 controls. SNPs were genotyped by quantitative PCR, using TaqMan allelic discrimination assays. Overall, the PNPLA3 GG genotype was more frequent in F2–F4 (23%) and F0–F1 (22%) patients than in controls (9%; p = 0.02). The MBOAT7 TT genotype was significantly associated with fibrosis, with a prevalence of 23% in F2–F4 patients versus 10% in F0–F1 and 11% in controls (p = 0.01). This association was confirmed by regression analysis (OR = 5.01 95% CI: 1.86–13.49; p = 1.41 × 10⁻³). The protective MTARC1 AA genotypes were more frequent in controls (52%) when compared to patients with fibrosis (5% p = 2.76 × 10⁻²⁰). Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are spreading worldwide as the most critical causes of cirrhosis and hepatocellular carcinoma (HCC). Thus, improving the screening and managing strategies for patients with MASLD or MASH is necessary. A traditional non-systemic review provided this narrative. Genetic variations associated with the development of MASLD and MASH, such as PNPLA3, TM6SF2, GCKR, MBOAT7, MERTK, and HSD17B13, were initially reviewed. PNPLA3 genetic variants appeared to be strongly associated with the increased pathogenesis of MASLD, MASH, cirrhosis, and HCC. We also reviewed the useful polygenic risk score (PRS) for the development of MASLD, MASH, their related cirrhosis, and the occurrence of HCC. PRSs appeared to be better predictors of MASLD, MASH, the development of cirrhosis, and the occurrence of HCC in patients with MASLD or MASH than any single-nucleotide polymorphisms. RNA interference and antisense nucleotides against the genetic variations of PNPLA3 and HSD17B13 are also being developed. Multidisciplinary collaboration and cooperation involving hepatologists, geneticists, pharmacologists, and pathologists should resolve complicated problems in MASLD and MASH. This narrative review highlights the importance of the genetic susceptibility and PRS as predictive markers and personalized medicine for patients with MASLD or MASH in the future. Full article

Background/Objectives: Whether an increased genetic risk of steatotic liver disease (SLD) can be offset by maintaining a healthy weight remains unknown. We aimed to clarify the associations among the body mass index (BMI) and its change patterns with SLD and assess whether genetic susceptibility can modify these associations in Chinese people. Methods: A total of 10,091 and 6124 participants from the Health Omics Preventive Examination (HOPE) Program were enrolled in cross-sectional and follow-up analyses, respectively. BMI change patterns were defined according to the BMI at baseline and the last follow-up visit. Genetic risk was estimated using the polygenic risk score (PRS) derived from variants in PNPLA3, TM6SF2, MBOAT7, and GCKR. Data were analyzed using logistic regression models and Cox proportional-hazards models. Results: The analyses of the BMI and genetic risk simultaneously showed a dose–response association with the risk of SLD (p-trend < 0.001). Significant interactions between BMI and PRS were found for alanine aminotransferase (ALT) elevation (p = 0.007) and aspartate aminotransferase (AST) elevation (p < 0.001). Weight loss led to a 71%, 60%, and 67% lower risk of SLD, ALT elevation, and AST elevation, compared with stable overweight/obesity. A significant interaction between the genetic risk and BMI change patterns in ALT elevation was observed (p = 0.008). The absolute risk reductions associated with weight loss were greater for participants at a high genetic risk (26.60, 12.29, and 9.31 per 100 person years for SLD, ALT elevation, and AST elevation, respectively). Conclusions: Maintaining a healthy weight reduces the liver injury risk among all individuals, and the risk reduction is greater among the subset with a high genetic risk of SLD. Full article

Inflammageing is a condition of perpetual low-grade inflammation induced by ageing. Inflammageing may be predicted by the C-reactive protein (CRP) or by a recently described biomarker which measures N-glycosylated side chains of the carbohydrate component of several acute-phase proteins known as GlycA. The objective of this study was to examine in depth the genetic relationships between CRP and GlycA as well as between each of them and other selected cytokines, which may shed light on the mechanisms of inflammageing. Using the Olink 96 Inflammation panel, data on inflammatory mediators for 1518 twins from the TwinsUK dataset were acquired. Summary statistics for genome-wide association studies for several cytokines as well as CRP and GlycA were collected from public sources. Extensive genetic correlation analyses, colocalization and genetic enrichment analyses were carried out to detect the shared genetic architecture between GlycA and CRP. Mendelian randomization was carried out to assess potential causal relationships. GlycA predicted examined cytokines with a magnitude twice as great as that of CRP. GlycA and CRP were significantly genetically correlated (Rg = 0.4397 ± 0.0854, p-value = 2.60 × 10⁻⁷). No evidence of a causal relationship between GlycA and CRP, or between these two biomarkers and the cytokines assessed was obtained. However, the aforementioned relationships were explained well by horizontal pleiotropy. Five exonic genetic variants annotated to five genes explain the shared genetic architecture observed between GlycA and CRP: IL6R, GCKR, MLXIPL, SERPINA1, and MAP1A. GlycA and CRP possess a shared genetic architecture, but the relationship between them appears to be modest, which may imply the promotion of differing inflammatory pathways. GlycA appears to be a more robust predictor of cytokines compared to CRP. Full article

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as non-alcoholic fatty liver disease (NAFLD), is a frequent clinical condition globally. Single nucleotide polymorphisms (SNPs) associated with NAFLD have been proposed in the literature and based on bioinformatic screening. The association between NAFLD and genetic variants in Egyptians is still unclear. Hence, we sought to investigate the association of some genetic variants with NAFLD in Egyptians. Egyptians have been categorized into either the MASLD group (n = 205) or the healthy control group (n = 187). The severity of hepatic steatosis and liver fibrosis was assessed by a Fibroscan device. TaqMan-based genotyping assays were employed to explore the association of selected SNPs with MASLD. PNPLA3 rs738409 C>G variant is associated with the presence of MASLD with liver fibrosis, the severity of both hepatic steatosis and liver fibrosis, increased systolic and diastolic blood pressure and increased alanine aminotransferase (all p < 0.05), while the TM6SF2 rs58542926 C>T, HSD17B13 rs9992651 G>A, and GCKR rs1260326 T>C variants were not (all p > 0.05). The TM6SF2 rs58542926 T allele is associated with increased fasting blood glucose and a decreased waist circumference. The GCKR rs1260326 C allele is associated with decreased aspartate transaminase and diastolic blood pressure (all p < 0.05). Only after adjusting for the risk factors (age, sex, BMI, WC, HDL, TG, diabetes mellitus, and hypertension) F2 liver fibrosis score is negatively correlated with the HSD17B13 rs9992651 GA genotype. This study offers evidence for the association of the PNPLA3 rs738409 C>G variant with MASLD among Egyptians and for the association of the PNPLA3 rs738409 G allele, the TM6SF2 rs58542926 T allele, and the GCKR rs1260326 C allele with some parameters of cardiometabolic criteria. Full article

In our work, the associations of GWAS (genome-wide associative studies) impact for sex-hormone-binding globulin (SHBG)-level SNPs with the risk of breast cancer (BC) in the cohort of Caucasian women of Russia were assessed. The work was performed on a sample of 1498 women (358 BC patients and 1140 control (non BC) subjects). SHBG correlated in previously GWAS nine polymorphisms such as rs780093 GCKR, rs17496332 PRMT6, rs3779195 BAIAP2L1, rs10454142 PPP1R21, rs7910927 JMJD1C, rs4149056 SLCO1B1, rs440837 ZBTB10, rs12150660 SHBG, and rs8023580 NR2F2 have been genotyped. BC risk effects of allelic and non-allelic SHBG-linked gene SNPs interactions were detected by regression analysis. The risk genetic factor for BC developing is an SHBG-lowering allele variant C rs10454142 PPP1R21 ([additive genetic model] OR = 1.31; 95%CI = 1.08–1.65; p_perm = 0.024; power = 85.26%), which determines 0.32% of the cancer variance. Eight of the nine studied SHBG-related SNPs have been involved in cancer susceptibility as part of nine different non-allelic gene interaction models, the greatest contribution to which is made by rs10454142 PPP1R21 (included in all nine models, 100%) and four more SNPs—rs7910927 JMJD1C (five models, 55.56%), rs17496332 PRMT6 (four models, 44.44%), rs780093 GCKR (four models, 44.44%), and rs440837 ZBTB10 (four models, 44.44%). For SHBG-related loci, pronounced functionality in the organism (including breast, liver, fibroblasts, etc.) was predicted in silico, having a direct relationship through many pathways with cancer pathophysiology. In conclusion, our results demonstrated the involvement of SHBG-correlated genes polymorphisms in BC risk in Caucasian women in Russia. Full article