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4 recordsLinked to original sources
PubMed2026

Characteristics of Protein Profiling and Biomarkers in Aortic Regurgitation With Heart Failure.

BACKGROUND: Valvular heart disease, particularly aortic valve disease including stenosis and regurgitation, is a common heart disease. This study aimed to explore the protein profiling and the biomarkers in severe aortic valve disease and to provide new insights into the therapeutic strategy. METHODS: Blood samples from 80 subjects were collected and analyzed by data independent acquisition technique in 3 comparisons (mild/moderate-control, severe-control, and severe-mild/moderate) and validated by ELISA. The diagnostic value of differentially expressed proteins associated with severe valvular heart disease was also evaluated by the receiver operating characteristic curve. RESULTS: A total of 9976 peptides and 451 proteins were identified through liquid chromatography-tandem mass spectrometry analysis. From these, 64 in mild/moderate-control, 50 in severe-control, and 50 in severe-mild/moderate comparisons were identified as differentially expressed proteins. IGFBP7 (insulin-like growth factor-binding protein 7; 5581.0&#xb1;697.0&#x2009;ng/mL), DSG1 (desmoglein-1; 21.0&#xb1;2.0 pg/mL), ADIPOQ (adiponectin; 26&#x2009;686.0&#xb1;3730&#x2009;ng/mL), and JUP (junction plakoglobin; 10.2&#xb1;0.6&#x2009;ng/mL) levels in the severe group were significantly higher than that in the mild/moderate (P<0.05) group. Additionally, ADIPOQ and JUP levels in the severe group were also higher than that in control (P<0.001). Receiver operating characteristic curve analysis showed that IGFBP7, DSG1, JUP, and ADIPOQ had strong potential value to be associated with severe aortic valve disease. CONCLUSIONS: By constructing proteomics profile to identify the protein characteristics this study found that increased IGFBP7, DSG1, JUP, and ADIPOQ are the characteristics of proteins in patients with severe valvular heart disease. These findings provide new insight into the diagnosis and pathogenesis of valvular heart disease, particularly aortic valve disease.

Humans↗
PubMed2026

Multi-omics integration and colocalization analyses prioritize candidate molecular loci associated with hypothermia.

BACKGROUND: Hypothermia is a life-threatening condition lacking specific pharmacological treatments. This study aimed to prioritize genetically supported molecular loci associated with hypothermia and to explore their pharmacological tractability using multi-omics data. METHODS: Initially, 2532 druggable genes were curated from the Drug-Gene Interaction Database and established literature. These were cross-referenced with cis-eQTL and cis-pQTL datasets, encompassing 870,655 and 114,281 SNPs for blood, respectively, alongside 2379 shared SNPs across adipose, skeletal muscle, and heart tissues. Matched instrumental variables were integrated with hypothermia GWAS summary statistics for two-sample Mendelian randomization (MR) and Bayesian colocalization. Transcriptomic differential expression analysis (DEA) was subsequently conducted as an exploratory analysis of cold-exposure-associated expression changes. Database-derived compound annotations were systematically re-evaluated according to target specificity, established pharmacological mechanism, and concordance with the direction of the MR estimates. RESULTS: Among 671 gene-level MR tests, 36 genes reached nominal significance, whereas only ABCC8 remained significant after FDR correction. Colocalization was evaluable for 8 of these 36 genes, and 4 loci (COL18A1, SLC1A7, ADIPOQ, and MERTK) met the prespecified PP.H4>0.90 threshold. The remaining 28 loci were not evaluable because sufficient overlapping regional variants were unavailable after harmonization. Transcriptomic analysis identified altered expression of SLC1A3 and SLCO4A1 under cold exposure, although these findings did not directly validate the colocalization-supported loci. Re-evaluation of database-derived compound annotations did not identify any direct, selective, and directionally concordant drug-repurposing candidate for hypothermia. CONCLUSIONS: COL18A1, SLC1A7, ADIPOQ, and MERTK showed colocalization support among the 8 evaluable nominal MR-associated loci. Because colocalization coverage was limited, these genes should be regarded as preliminary candidate loci rather than established therapeutic targets. The pharmacological annotations were indirect, non-selective, unsupported, or directionally inconsistent and should be interpreted solely as hypothesis-generating information.

Bayesian colocalization↗
PubMed2025

Adipocyte-specific IGF1R knockout activates the &#x3b2;-catenin/apelin axis to combat diet-induced obesity in male mice.

AIMS: Obesity, driven by complex genetic and environmental interactions, remains a global health crisis with limited therapeutic options. The insulin-like growth factor 1 receptor (IGF1R) plays dual roles in metabolism and growth, but its tissue-specific functions in adipose biology are controversial. This study investigates how adipose-specific IGF1R knockout impacts systemic metabolism under high-fat diet (HFD) stress and explores the underlying mechanisms. METHODS: Adipose-specific IGF1R knockout mice (AdIGF1RKO) were generated by crossing Igf1rfl/fl mice with Adipoq-Cre transgenics. Mice were fed a normal chow diet (NCD) or HFD for 20&#x2009;weeks. Metabolic phenotyping included glucose/insulin tolerance tests, body composition analysis and serum profiling. RNA-seq, Western blot and quantitative real-time reverse transcriptase PCR were used to identify molecular pathways. In vitro studies with stromal vascular fraction (SVF) cells validated &#x3b2;-catenin/apelin interactions. RESULTS: AdIGF1RKO male mice exhibited reduced adipose mass under NCD and resisted HFD-induced obesity, showing attenuated hepatic lipid deposition and improved glucose metabolism. Mechanistically, IGF1R knockout enhanced INSR and Akt phosphorylation, driving GSK3&#x3b2;-&#x3b2;-catenin activation and apelin upregulation. Apelin activated AMPK, suppressing lipogenesis and enhancing fatty acid oxidation. Notably, &#x3b2;-catenin's role shifted from inhibiting adipogenesis in precursors to promoting metabolic adaptation in mature adipocytes. CONCLUSION: We unveil a &#x3b2;-catenin/apelin-driven endocrine axis that reprograms energy metabolism under obesogenic stress. Therapeutically, targeting adipose IGF1R or apelin signalling could combat obesity while avoiding systemic toxicity. Limitations include unresolved &#x3b2;-catenin/Apln transcriptional mechanisms, APJ function and tissue-specific AMPK effects. Our findings redefine IGF1R's metabolic role and propose novel strategies for obesity-related disorders.

Animals↗
PubMed2026

Large-Scale Proteomic Profiling of Incident Heart Failure and Its Subtypes in Older Adults.

BACKGROUND: Heart failure (HF) and its main subtypes, heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF), impose an enormous health burden on elders. Assessment of the circulating proteome to illuminate pathogenesis could open new opportunities for treatment. METHODS: We conducted a plasma proteomics screen of incident HF and its subtypes in 2 older population-based cohorts, the CHS (Cardiovascular Health Study) and the AGES-RS (Aging, Gene/Environment Susceptibility-Reykjavik Study). The 2 studies used SomaLogic platforms, with 4404 aptamers in common. Multivariable Cox models were fit to evaluate individual-protein associations with HF, HFpEF, and HFrEF separately in each cohort, and study-specific associations were combined by fixed-effects meta-analysis. Replication was performed in the ARIC (Atherosclerosis Risk in Communities) cohort. Two-sample Mendelian randomization of HF and its subtypes, along with colocalization analysis, was performed to support causal inference. RESULTS: Among 8599 participants, 1590 experienced incident HF (536 HFpEF, 471 HFrEF). There were 119 proteins associated with HF, 15 proteins with HFpEF, and 11 proteins with HFrEF, at Bonferroni-corrected significance. Among these, 9 have never previously been identified for cardiovascular diseases, and another 61 represent new associations with incident HF or its subtypes. Of these 70 proteins, 55 of the 66 available replicated externally. Mendelian randomization analysis revealed 7 proteins genetically associated with HF at nominal significance; 2 were separately associated with HFpEF, and another 2 with HFrEF. Seven of these 9 proteins (NPDC1 [neural proliferation differentiation and control protein 1], APOF [apolipoprotein F], LMAN2 [lectin, mannose-binding 2], ADIPOQ [adiponectin], CD14 [cluster of differentiation 14], ARHGAP1 [Rho GTPase-activating protein 1], C9 [complement 9]) showed new, possibly causal associations, although we did not detect evidence for colocalization. CONCLUSIONS: In this large-scale proteomic study involving 3 longitudinal cohorts of older adults, we identified and replicated 55 novel protein markers of HF or its subtypes, and 7 new, possibly causal proteins. These proteins may enhance risk prediction, improve understanding of pathobiology, and help prioritize targets for therapeutic development of these foremost disorders in elders.

Humans↗