Search Results (138)

The sensory quality of pork constitutes a complex phenotype that arises from the interplay between genetic factors and environmental conditions. As a local pig breed in China, Tibetan pigs (TPs) are known for their high-quality meat. However, their slow growth rate and low production efficiency limit their large-scale breeding. We have used Duroc as a hybrid sire to improve TP. Our study found that TPs have higher intramuscular fat content and higher levels of monounsaturated fatty acids. Duroc × Tibetan crossbred pigs (DZs) not only retain the paternal high productivity but also inherit the superior meat quality of the maternal parent. Transcriptome analysis identified IL6, GPX1, GPX3, AOX1, ALDH7A1, PTGS2, NFKBIA, ADIPOQ and PPARG as being involved in affecting meat quality. Metabolomic analysis found that betaine, carnosine, L-carnitine, and lysophosphatidylcholine were important components that affect meat quality. Joint analysis further reveals that the expression of ATF4, DGKB, GNMT, and ADSL genes is closely related to arachidonic acid, lysophosphatidylcholine, betaines, and hypoxanthine, ultimately affecting the quality of the meat. By comprehensively analyzing the carcass and meat qual Full article

Background: Hypoadiponectinemia, a metabolic hallmark of obesity, is common in polycystic ovary syndrome (PCOS) yet the association of variants in the ADIPOQ gene with obesity in PCOS remains uncertain. To investigate whether ADIPOQ variants are associated with obesity in PCOS in relation to circulating adiponectin levels, and whether integrating genotypes, adiponectin, and a polygenic risk score (PRS) improves risk stratification. Methodology: In 324 Tunisian women with PCOS, classified as obese or non-obese by WHO criteria, serum adiponectin was measured, and nine ADIPOQ variants were genotyped using TaqMan assays. Associations with obesity were assessed using logistic regression, gene phenotype interaction analysis, and models incorporating a PRS; epistasis, QTL, and diplotypes were also evaluated. Results: Adiponectin levels were significantly lower in obese women and modestly predicted obesity (AUC = 0.605). Variants rs1501299 and rs3774261 were significantly associated with obesity under recessive models (OR up to 5.18, 95% CI [2.32–11.56], p = 7.14 × 10⁻⁵). Risk genotypes and haplotypes correlated with reduced adiponectin and increased obesity risk, with adiponectin levels significantly associated with the genotype–obesity relationships. A combined model including adiponectin, the two variants, and PRS outperformed single predictors. Conclusions:ADIPOQ rs1501299 and rs3774261 are associated with obesity in women with PCOS, with this association demonstrating a specific relationship with reduced adiponectin. Integrating genetic and biochemical markers improves metabolic risk profiling and supports personalized management. Full article

Background: Obesity is a major risk factor for type 2 diabetes (T2D); however, the molecular links between these conditions are not fully understood. Methods: We performed an integrative serum proteomics study on samples from 134 individuals (healthy controls, patients with obesity and/or T2D) using both data-independent (DIA) and data-dependent (DDA) liquid chromatography-mass spectrometry approaches, complemented by phosphopeptide enrichment, kinase activity prediction, network and pathway analyses to get more information on the different proteoforms involved in the pathophysiology of the diseases. Results: We identified 235 serum proteins, including 13 differentially abundant proteins (DAPs) between groups. Both obesity and T2D were characterized by activation of complement and coagulation cascades, as well as alterations in lipid metabolism. Ingenuity Pathway Analysis^® (IPA) revealed shared canonical pathways, while phosphorylation-based regulation differentiated the two conditions. Elevated hemopexin (HPX), vitronectin (VTN), kininogen-1 (KNG1) and pigment epithelium-derived factor (SERPINF1), along with decreased adiponectin (ADIPOQ) and apolipoprotein D (APOD), indicated a pro-inflammatory, pro-coagulant serum profile. Network analyses of antimicrobial and immunomodulatory peptides (AMPs) revealed strong overlaps between immune regulation and lipid metabolism. Phosphoproteomics and kinase prediction highlighted altered CK2 and AGC kinase activities in obesity, suggesting signaling-level modulation. Conclusions: Our comprehensive proteomic and phosphoproteomic profiling reveals overlapping yet distinct molecular signatures in obesity and T2D, emphasizing inflammation, complement activation and phosphorylation-driven signaling as central mechanisms that potentially contribute to disease progression and therapeutic targeting. Full article

Pork is a major source of animal protein worldwide, and its quality is influenced by pre- and post-slaughter procedures. Advances in molecular biology, particularly gene expression studies, support genetic improvement programs by enabling precise strategies to enhance meat quality and economic sustainability. This study evaluated meat quality traits and candidate gene expression in muscle and subcutaneous adipose tissue from different genetic lineages and sexes. A total of 120 pigs from three lineages—Line D (½ Duroc × ½ DB90), Line P (½ Pietrain × ½ DB90), and Line H (½ [Duroc and Pietrain] × ½ DB90); including immunocastrated males (IM) and females, were randomly selected. Meat quality was assessed using physicochemical parameters, and gene expression analysis was performed in 36 pigs using RT-qPCR with B2M, TBP, and RPL4 as references, and COL1A1, PRKAR2A, CAST, ADIPOQ, and PPARGC1A as targets. Lineage influenced drip loss and intramuscular fat, while lineage–sex interaction affected tenderness and color (L* and b*), and sex influenced b*. In muscle, sex affected COL1A1 and PRKAR2A, and lineage influenced COL1A1 and CAST. In adipose tissue, only CAST was lineage-dependent. Full article

The aim of this study was to investigate the prognostic and predictive properties of four specific genes in triple-negative breast cancer (TNBC). We focused on ADIPOQ, GAS5, GATA4, and YAP1, which are known for their roles in key molecular pathways related to tumorigenesis, such as adipokine signaling, lncRNA regulation, transcriptional control, and Hippo signaling, but have not been sufficiently explored in the context of epigenetic regulation in breast cancer. Using the methylospecific PCR (MSP) method, we analyzed the methylation of the four genes in the tumor tissues collected from 57 TNBC patients. We evaluated their association with response to neoadjuvant treatment and clinicopathological characteristics. Additionally, we performed a bioinformatic analysis of methylation and expression data from The Cancer Genome Atlas (TCGA) TNBC cohort to explore their relationships with overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), progression-free interval (PFI), and relapse-free survival (RFS). No significant associations were observed between methylation patterns and clinicopathological characteristics in the patients. However, in silico analysis of the TNBC cohort identified ADIPOQ methylation as having the most significant associations, correlating with all five survival endpoints, including OS, DSS, DFI, PFI, and RFS. GAS5 methylation was significantly associated with OS, DSS, and RFS, and GATA4 methylation showed significant associations with PFI, whereas YAP1 methylation was significantly associated with OS and RFS. In addition, GAS5 expression was linked to DSS, DFI and RFS. This study highlights the potential prognostic significance of the epigenetic regulation of ADIPOQ in TNBC. The in silico findings shed light on the molecular pathways associated with TNBC progression and warrant further investigation to validate their role in clinical outcomes and underlying biological mechanisms. Full article

Obesity is a multifaceted disorder influenced by various factors, with heredity being a significant contributor. Bariatric surgery is the most effective long-term intervention for morbid obesity and associated comorbidities, while outcomes vary significantly across individuals. Recent studies indicate that genetic and molecular determinants, particularly alterations in the leptin–melanocortin signalling pathway involving the fat mass and obesity-associated gene (FTO), pro-opiomelanocortin (POMC), melanocortin 4 receptor (MC4R), leptin (LEP), and leptin receptor (LEPR), influence the efficacy of weight loss and metabolic adaptations post-surgery. This narrative review consolidates evidence from peer-reviewed papers available in PubMed and Scopus until July 2025. The emphasis was on novel research and systematic reviews examining genetic polymorphisms, gene–environment interactions, and outcomes following bariatric procedures such as Roux-en-Y gastric bypass (RYGB) and sleeve gastrectomy (SG). Recent research emphasised the integration of genetic screening and precision medicine models into clinical bariatric workflows. Variants in FTO (e.g., rs9939609), MC4R (e.g., rs17782313), LEPR, and POMC are associated with diminished weight loss post-surgery, an increased likelihood of weight regain, and reduced metabolic enhancement. Patients with bi-allelic mutations in MC4R, POMC, or LEPR exhibited poor long-term outcomes despite receiving effective physical interventions. Furthermore, genes regulating mitochondrial metabolism (such as PGC1A), adipokine signalling (such as ADIPOQ), and glucose regulation (such as GLP1R) have been demonstrated to influence the body’s response to sugar and the extent of weight gain or loss. Two recent systematic reviews elucidate that candidate gene investigations are beneficial; however, larger genome-wide association studies (GWAS) and machine learning techniques are necessary to enhance predictive accuracy. Integrating genetic and molecular screening with bariatric surgery planning possesses significant therapeutic potential. Genotyping can assist in patient selection, procedural decisions, and medication additions, particularly for those with variants that influence appetite regulation or metabolic flexibility. Advancements in precision medicine, including the integration of polygenic risk scores, omics-based profiling, and artificial intelligence, will enhance the customisation of surgical interventions and extend the lifespan of individuals with severe obesity. The epigenetic regulators of energy balance DNA methylation, histone changes, and microRNAs that may affect individual differences in weight-loss patterns after bariatric surgery are also briefly contextualised. We discuss the concept that epigenetic modulation of gene expression, mediated by microRNAs in response to food and exercise, may account for variations in metabolic outcomes post-surgery. Full article

Background/Objectives: Most genes involved in the pathogenesis of Metabolic Syndrome (MS) and Type 2 Diabetes Mellitus (T2DM) are regulated by peroxisome proliferator-activated receptors (PPARs), which modulate the production of pro-inflammatory cytokines, with interleukin-6 (IL-6) playing a crucial role. The associations of single-nucleotide polymorphisms (SNPs) with MS and T2DM remain uncertain across populations. Therefore, we aimed to investigate the associations of PPAR-related SNPs in IL-6, LEP, ADIPOQ, ADIPOR1, and ADIPOR2 with MS and T2DM clinical features. Methods: Polymorphism analysis of IL-6, LEP, ADIPOQ, ADIPOR1, and ADIPOR2 genes was performed on isolated DNA from individuals diagnosed with T2DM and from healthy controls using real-time polymerase chain reaction (qPCR). Results: The IL-6-174G/C polymorphism shows that the CC genotype is associated with higher MS risk, whereas the GG genotype appears protective against metabolic disturbances. When the IL6 CC genotype is combined with ADIPOR2 GA or ADIPOR2 219 A/T, hyperglycemia is 1.3 times more frequent than with other IL6/ADIPOR2 genotype combinations. Conclusions: To develop informative genetic risk scores, future studies should include additional polymorphisms in key immune–metabolic pathway genes, such as AP-1, NF-κB, and FFAs. Full article

Background: Dyslipidemia, a significant modifiable risk factor for cardiovascular disease (CVD), represents a major global health challenge, particularly influenced by complex genetic and environmental interactions, mainly in indigenous populations. Methods: In this study, DNA samples from 80 individuals belonging to various indigenous ethnic groups from northern and southern Mexico were analyzed to evaluate DNA methylation profiles and its correlation to lipid levels and other clinical parameters. Ten genes associated with metabolic changes were investigated using targeted bisulfite sequencing. Results: Our results revealed significant correlations between methylation in genes such as ABCA1, ADIPOQ, APOE, FSTL4, and KCNQ1 and clinical parameters including body mass index (BMI), lipid profiles, and body fat. Of the 151 CpG sites analyzed, 16 showed statistically significant correlations. Specifically, two ABCA1 CpGs sites correlated with BMI (p = 0.015) and triglycerides (p = 0.03); three ADIPOQ sites correlated with low-density lipoprotein cholesterol (LDLc) (p = 0.03, p = 0.005, p = 0.04, respectively); one APOE site correlated with BMI (p = 0.04), another with total cholesterol (p = 0.004) and triglycerides (p = 0.03) and two more with high-density lipoprotein cholesterol (HDLc) (p = 0.02 and p = 0.005, respectively); one FSTL4 CpG site with body fat (p = 0.02), another with total cholesterol (p = 0.02), one more with HDLc (p = 0.01), and another one with triglycerides (p = 0.01); and two KCNQ1 CpG sites correlated with body fat (p = 0.01 and p = 0.04, respectively). Conclusions: These findings show potential novel biomarkers for dyslipidemia risk. This research highlights the importance of understanding methylation changes in indigenous populations for developing personalized interventions and prevention strategies that could improve healthcare by linking epigenetic factors to CVD risk. Full article

Adolescent idiopathic scoliosis (AIS) is a multifactorial disease with environmental and genetic components. AIS clinical management is complicated by the lack of reliable predictive markers of progression. Recent studies have highlighted a potential role for epigenetic mechanisms in disease progression. However, most findings derive from peripheral blood analyses, with little data available on musculoskeletal tissues directly affected by AIS. Given the tissue-specific nature of epigenetic regulation, validating blood-based biomarkers in disease-relevant tissues is essential. We performed a comparative multi-gene RT-qPCR analysis, arranged in a custom array format, to assess the local expression of candidate epigenetically regulated genes associated with AIS progression across bone, paravertebral muscle, spinal ligament, and peripheral blood, all collected from the same patients. Tissue- and gene-specific expression patterns were observed, supporting the presence of local regulatory mechanisms. Peripheral blood expression of HAS2, PCDH10, H19, ADIPOQ, ESR1, GREM1, SOX9, FRZB, LRP6, and FBN1 resembled bone expression, while PITX1, CRTC1, APC, CTNNB1, FZD1, and AXIN1 reflected muscle and ligament; WNT1 reflected only muscle. In contrast, GREM1 and SOX9 were expressed only in muscle and ligament and FGF4 and NPY only in muscle, suggesting limited systemic biomarker potential. Compared to non-AIS tissues, AIS samples showed downregulation of PCDH10 and FBN2 in bone and CRTC1, FRZB, LRP6, and MSTN in muscle. WNT1 and WNT10 were upregulated in muscle and FBN1 in ligament. In conclusion, the results highlight differential gene expression across AIS tissues, supporting tissue-specific regulation in some of the genes analyzed. Only a subset of markers exhibited blood expression patterns that reflected those in specific tissues, suggesting that certain blood biomarkers may act as surrogates for distinct tissue compartments. These results lay the groundwork for future DNA-based studies to confirm the epigenetic nature of this regulation and to identify reliable biomarkers for AIS progression. Full article

Background: Adipose-derived extracellular vesicles (adiposomes) are emerging as key mediators of inter-organ communication, yet their molecular composition and role in obesity-related pathophysiology remain underexplored. This study integrates clinical phenotyping with proteomic analysis of visceral adipose-derived adiposomes to identify obesity-linked molecular disruptions. Methods: Seventy-five obese and forty-seven lean adults were extensively profiled for metabolic, inflammatory, hepatic, and vascular parameters. Adiposomes isolated from visceral fat underwent mass spectrometry-based proteomic analysis, followed by differential abundance, pathway enrichment, regulatory network modeling, and clinical association testing. Results: Obese individuals exhibited widespread cardiometabolic dysfunction. Proteomics revealed 64 adiposomal proteins with differential abundance. Upregulated proteins (e.g., CRP, C9, APOC1) correlated with visceral adiposity, systemic inflammation, and endothelial dysfunction. In contrast, downregulated proteins (e.g., ADIPOQ, APOD, TTR, FGB, FGG) were associated with enhanced nitric oxide bioavailability and vascular protection, suggesting loss of homeostatic signaling. Network analyses identified TNF and IL1 as key upstream regulators driving inflammatory and oxidative stress pathways. Decision tree and random forest models accurately classified obesity, hypertension, diabetes, dyslipidemia, and hepatic steatosis (AUC = 0.908–0.994), identifying predictive protein signatures related to complement activation, inflammation, and lipid transport. Conclusion: Obesity alters adiposome proteomic cargo, reflecting and potentially mediating systemic inflammation, metabolic dysregulation, and vascular impairment. Full article

Background/Objectives: Gestational diabetes (GD) is a common pregnancy complication linked to inflammation. Obesity, a major risk factor, is associated with elevated pro-inflammatory markers (TNF-α, IL-6) and reduced anti-inflammatory IL-10 and adiponectin. This study investigated the role of inflammatory factors (IL-6, TNF-α, IL-10, adiponectin) and their genetic variants (rs1800629, rs1800796, rs1800896, rs266729) in a unique four-group study design of pregnant women. Methods: We collected venous blood from 162 women in the third trimester of pregnancy. We measured IL-6, IL-10, TNF-α, and adiponectin levels and performed real-time PCR genotyping for the selected SNPs. Results: IL-6 levels were significantly higher (p < 0.001) in pregnant women with GD and additional complications. The IL-6 SNP rs1800796 heterozygous CG genotype showed a slightly increased GD risk (OR = 1.41). However, we found no significant associations between GD and TNF-α rs1800629 or IL-10 rs1800896 SNPs. The AdipoQ rs266729 homozygous CC genotype was linked to increased GD risk (p = 0.03 for superdominant model). Importantly, no significant correlations were observed between inflammatory marker levels and gene variants within any study group. Conclusions: Our findings suggest a greater inflammatory burden in GD pregnancies with additional complications. While certain IL-6 and AdipoQ variants might contribute to GD risk, the overall weak association between inflammatory markers and gene variants likely reflects the complex polygenic nature of GD, environmental factors, or the study’s sample size. Full article

Metabolically healthy (MHO) and unhealthy obesity (MUO) exhibit distinct molecular genetic mechanisms underlying metabolic disorders. Studying gene and microRNA expression in subcutaneous adipose tissue (SAT) may reveal key pathogenetic differences between these phenotypes. We compared the expression of genes (ADIPOQ, HIF1A, CCL2) and microRNAs (miR-142-3p, miR-155, miR-378) in SAT between MHO and MUO patients and assessed their association with metabolic parameters. The study included 39 obese patients (19 MHO, 20 MUO) and 10 healthy controls. SAT biopsies were analyzed using real-time PCR. Correlations with clinical and metabolic markers were evaluated. Obese patients showed decreased ADIPOQ (p = 0.039) and miR-142 (p = 0.008) expression and increased CCL2 (p = 0.004), miR-155 (p = 0.017), and miR-378 (p = 0.04) expression compared to the controls. MUO patients exhibited higher HIF1A expression (p = 0.03) and strong correlations between CCL2 and dyslipidemia (total cholesterol, triglycerides)/dysglycemia (fasting glucose) (r = 0.45, p = 0.03; r = 0.52, p = 0.01; r = 0.63, p = 0.001, respectively). miR-142 negatively correlated with fibrosis markers, while miR-378 was linked to insulin resistance. The differential gene and microRNA expression highlights the role of inflammation, hypoxia, and fibrosis in MUO pathogenesis. miR-142-3p, miR-155, and miR-378 may serve as potential biomarkers for metabolic risk stratification and therapeutic targets. Full article

Deposition of intramuscular fat (IM), also known as marbling, is the deciding factor of beef quality grade in the U.S. Defining molecular mechanisms underlying the differential deposition of adipose tissue in distinct anatomical areas in beef cattle is key to the development of strategies for marbling enhancement while limiting the accumulation of excessive subcutaneous adipose tissue (SAT). The objective of this exploratory study was to define the IM and SAT transcriptional heterogeneity at the whole tissue and single-nuclei levels in beef steers. Longissimus dorsi muscle samples (9–11th rib) were collected from two finished beef steers at harvest to dissect matched IM and adjacent SAT (backfat). Total RNA from IM and SAT was isolated and sequenced in an Illumina NovaSeq 6000. Nuclei from the same samples were isolated by dounce homogenization, libraries generated with 10× Genomics, and sequenced in an Illumina NovaSeq 6000, followed by analysis via Cell Ranger pipeline and Seurat in RStudio (v4.3.2) By the expression of signature marker genes, single-nuclei RNA sequencing (snRNAseq) analysis identified mature adipocytes (AD; ADIPOQ, LEP), adipose stromal and progenitor cells (ASPC; PDGFRA), endothelial cells (EC; VWF, PECAM1), smooth muscle cells (SMC; NOTCH3, MYL9) and immune cells (IMC; CD163, MRC1). We detected six cell clusters in SAT and nine in IM. Across IM and SAT, AD was the most abundant cell type, followed by ASPC, SMC, and IMC. In SAT, AD made up 50% of the cellular population, followed by ASPC (31%), EC (14%), IMC (1%), and SMC (4%). In IM depot, AD made up 23% of the cellular population, followed by ASPC at 19% of the population, EC at 28%, IMC at 7% and SMC at 12%. The abundance of ASPC and AD was lower in IM vs. SAT, while IMC was increased, suggesting a potential involvement of immune cells on IM deposition. Accordingly, both bulk RNAseq and snRNAseq analyses identified activated pathways of inflammation and metabolic function in IM. These results demonstrate distinct transcriptional cellular heterogeneity between SAT and IM depots in beef steers, which may underly the mechanisms by which fat deposits in each depot. The identification of depot-specific cell populations in IM and SAT via snRNAseq analysis has the potential to reveal target genes for the modulation of fat deposition in beef cattle. Full article

Dendrobium, a prominent genus in the Orchidaceae family, has generated significant research attention due to its demonstrated biological potential, particularly its notable anti-inflammatory and antioxidant activities. In this study, two fractions of fermented Dendrobium officinale polysaccharides (FDOPs) were successfully isolated through a multi-stage purification strategy including gradient ethanol precipitation, gel column chromatography, and ion exchange chromatography with Lactobacillus reuteri CCFM863. Structural characterization revealed that both Dendrobium officinale polysaccharide fractions consisted of (1→4)-β-D-Manp, (1→4)-β-D-Glcp, and (1→4)-α-D-Glcp residues. The anti-inflammatory efficacy and keratinocyte-protective potential of FDOPs (FDOP-1A and FDOP-2A) were investigated by using lipopolysaccharide (LPS)-induced RAW264.7 and HaCaT cells models, which showed significant inhibitions on the inflammatory factors of monocyte chemoattractant protein-1 (MCP-1), tumor necrosis factor-alpha (TNF-α), nitric oxide (NO), and interleukin-1 beta (IL-1β); recovered levels of filaggrin (FLG), aquaporin 3 (AQP3), transient receptor potential vanilloid 4 (TRPV4), cathelicidin antimicrobial peptide (CAMP)/LL-37, and adiponectin (ADIPOQ); and the reduced protein expression of the TLR4/IκB-α/NF-κB/NLRP3 pathway. Notably, the FDOPs exhibited a remarkable reactive oxygen species (ROS) scavenging capacity, demonstrating superior antioxidant activity. Therefore, FDOPs show dual anti-inflammatory and antioxidant properties, making them suitable as active ingredients for modulating epidermal inflammation and promoting skin barrier repair. Full article

Metabolic syndrome (MetS), a significant global health concern, is characterized as a cluster of metabolic abnormalities that elevate the risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). Adiponectin, an adipokine secreted by adipose tissue, plays a crucial role in regulating glucose and lipid homeostasis while exhibiting protective effects against vascular alterations. Single-nucleotide variants (SNVs) in the ADIPOQ gene have significantly affected circulating adiponectin levels and metabolic parameters. This narrative review examines current evidence on the relationship between adiponectin, ADIPOQ gene variants, and metabolic syndrome. The findings indicate that lower adiponectin levels are associated with an increased risk of metabolic syndrome components, including elevated triglycerides (TGs), low-density lipoprotein cholesterol (LDL-C), and fasting glucose levels. In conclusion, adiponectin emerges as a key regulator of metabolic homeostasis, with SNVs in the ADIPOQ gene correlating with the development of metabolic-related complications. Full article