Ask about this productRelated genes to: MAT1A Blocking Peptide
- Gene:
- MAT1A NIH gene
- Name:
- methionine adenosyltransferase 1A
- Previous symbol:
- -
- Synonyms:
- MAT, SAMS, MATA1, SAMS1
- Chromosome:
- 10q22.3
- Locus Type:
- gene with protein product
- Date approved:
- 1997-07-01
- Date modifiied:
- 2016-10-05
Related products to: MAT1A Blocking Peptide
Related articles to: MAT1A Blocking Peptide
- Bariatric surgery shows variable efficacy in resolving metabolic dysfunction-associated steatohepatitis (MASH), with mechanisms underlying therapeutic heterogeneity remaining unclear. Using multiple male murine MASH models, we demonstrate that vertical sleeve gastrectomy (VSG) ameliorates hepatic steatosis and fibrosis through mechanisms that extend beyond weight loss. Multi-omic profiling reveals VSG enhances hepatic one-carbon metabolism (1CM) via upregulation of methionine adenosyltransferase 1 A (MAT1A), increasing S-adenosylmethionine (SAM) availability and the SAM/SAH ratio. This metabolic reprogramming restores hepatic phosphatidylcholine (PC) /phosphatidylethanolamine (PE) homeostasis, alleviating endoplasmic reticulum stress and mitochondrial dysfunction. Critically, dietary depletion of one-carbon substrates or genetic ablation of MAT1A abolishes VSG's therapeutic effects, while betaine supplementation rescues surgical efficacy. In humans, paired liver biopsies from patients with MASH (n = 4) show MAT1A upregulation correlating with histological improvement, while plasma metabolomics from a separate cohort (n = 42) reveals that patients with poor hepatic response to VSG display compromised one-carbon metabolism signatures, with SAM levels correlating with therapeutic response. These findings establish MAT1A-mediated methylation as an essential mechanism for optimal VSG efficacy in preclinical models and identify one-carbon metabolites as candidate biomarkers for predicting surgical response, suggesting that preoperative metabolic profiling could guide methyl donor supplementation to optimize VSG outcomes in MASH. - Source: PubMed
Publication date: 2026/07/22
Tang BixiShen QiweiYuan JieHuang XianjueShao YikaiZhu NanlinGuo HaoranCao HuiyingWang HanlinWang HanminLi JiaLiu JiaHua RongZang Yi - Perfluorooctanoic acid (PFOA), a persistent environmental pollutant, represents a chronic environmental stressor, yet its role in osteosarcoma progression remains unclear. Here, we integrated network toxicology, machine learning, immune infiltration analysis, single-cell RNA sequencing, molecular docking, molecular dynamics simulation, and in vitro assays to define the mechanisms linking long-term PFOA exposure to osteosarcoma. We identified 28 shared targets between PFOA-associated proteins and osteosarcoma-related genes, which were mainly enriched in oxidative stress, immune regulation, and metabolic reprogramming pathways. Machine learning prioritized nine candidate hub genes, including PNP, SOD2, MAT1A, RELA, PSAT1, CXCL12, PHGDH, PDK4, and CFD, with PHGDH, PSAT1, PDK4, and MAT1A suggesting a metabolism-related axis relevant to PFOA-associated osteosarcoma alterations. Single-cell and immune analyses showed distinct cell-type-specific expression patterns of these genes and their close associations with the tumor immune microenvironment. Molecular docking and molecular dynamics simulations further suggested potential structural compatibility between PFOA and several prioritized hub proteins. Experimentally, prolonged exposure to non-cytotoxic concentrations of PFOA enhanced osteosarcoma cell proliferation and invasion, whereas high concentrations were cytotoxic. Collectively, these findings suggest that long-term PFOA exposure may promote osteosarcoma progression by coupling environmental stress with metabolic reprogramming and immune dysregulation. - Source: PubMed
Publication date: 2026/07/16
Dong YuruZheng JiaxiaoDong XingtongLv YixiaoXu ZixiaYe ChengluoZhu ShuyuanDong HaoruLv Yao - X-rays are a form of ionizing radiation that has sufficient energy to remove electrons from atoms, thereby creating potentially harmful ions. X-ray irradiation during organogenesis can have profound detrimental effects, depending on the developmental stage and irradiating energy. In this study, we examined the impact of X-ray irradiation on zebrafish development at 36 h post-fertilization and observed marked jaw malformation, which was alleviated by folic acid pretreatment. Mechanistic studies revealed that folic acid pretreatment suppressed irradiation-induced production of reactive oxygen species. Transcriptome analysis performed at 24 and 48 h post-irradiation revealed dysregulated expression of apolipoprotein A-IV a (apoa4a), methionine adenosyltransferase 1A (mat1a), heat shock protein 90 alpha class A member 1 tandem duplicate 1 (hsp90aa1.1), FKBP prolyl isomerase 5 (fkbp5), plac8 onzin related protein 3 (ponzr3), and prostaglandin E synthase 3a (ptges3a), which was not observed in zebrafish treated with folic acid before the irradiation. These findings suggest that folic acid alleviates X-ray irradiation-induced jaw malformation in zebrafish, at least in part, by reducing oxidative stress and ameliorating dysregulated gene expression. - Source: PubMed
Das TanishaShiromizu TakashiHiguchi AinaYasojima SakyoMorimoto MisakiHosaka MihoKashima MakotoKoiwa JunkoNishimura Yuhei - Epigenetic alterations play an increasingly recognized role in carcinogenesis and in the development of resistance to anticancer therapies. Epigenetic enzymes (writers and erasers) and effectors (readers) are largely influenced by the availability of metabolites generated through one-carbon metabolism (OCM), the tricarboxylic acid (TCA) cycle, and acetyl-CoA synthesis (ACS). In this study we examined the expression of epigenetic and metabolic genes to investigate their interplay in cholangiocarcinoma (CCA). - Source: PubMed
Publication date: 2026/06/04
Lopez-Pascual AmayaElurbide JasminValbuena-Goiricelaya EmilianaLatasa M UjueAnaya ElenaAdan-Villaescusa ElenaCastelló-Uribe BorjaMartínez-Pérez Luz AUriarte IkerArechederra MariaCiordia SergioCorrales Fernando JStrnad PavelFrankova SonaSticova EvaFabian OndrejColyn LeticiaInacio PatriciaBayo JuanHuch MeritxellBerasain CarmenFernández-Barrena Maite GAvila Matías A - With the improvement of people's living standards, public attention to pork quality has grown increasingly. This study aimed to identify the key genes affecting meat quality in pigs. Castrated Mashen (MS) pigs (n = 6) with an average body weight of 112.5 kg (300 days of age) and Duroc × (Landrace × Yorkshire) (DLY) pigs (n = 6) with an average body weight of 114.5 kg (165 days of age) were selected for slaughter. The longissimus dorsi muscle (LDM) was collected for meat quality traits determination and omics analyses. The results showed that MS pigs exhibited significantly superior meat color, intramuscular fat (IMF) content, marbling, shear force, and pH compared with DLY pigs (p < 0.05). A total of 1330 differentially expressed genes (DEGs), 94 differentially expressed lipids (DELs), and 185 differentially accumulated metabolites (DAMs) were screened between MS and DLY pigs (p < 0.05). Further weighted gene co-expression network analysis (WGCNA) revealed that glycerophospholipids (GP) and glycerolipids (GL) were key lipids affecting pork quality. Additionally, integration of lipidomic and metabolomic data identified "lipids-metabolites strong correlation pairs" influencing meat quality, such as the significant positive correlation between carnitine derivatives and various triglycerides (TG) (|r|> 0.8, p < 0.05). Furthermore, we conducted transcriptome-metabolome and transcriptome-lipidome correlation analyses based on expression abundance and functional annotations, and screened four key gene sets. Finally, after the intersection of these key genes, 19 core genes such as ALDOB, ASS1, CYP2A13, CYP2E1, DMGDH, PLCB1, and MAT1A may be related to pork quality. This study provides potential targets for further exploring the molecular mechanisms underlying pork quality by identifying several key genes linked to pork quality traits. - Source: PubMed
Publication date: 2026/05/09
Huo KeyanQiao MeiWang ShouyuanLiu JunjieYu JialiangSun DiHuang MengjieLiang LinLi BugaoLu ChangCao Guoqing