Ask about this productRelated genes to: HNF1A antibody
- Gene:
- HNF1A NIH gene
- Name:
- HNF1 homeobox A
- Previous symbol:
- MODY3, TCF1
- Synonyms:
- HNF1, LFB1
- Chromosome:
- 12q24.31
- Locus Type:
- gene with protein product
- Date approved:
- 1990-02-12
- Date modifiied:
- 2019-04-23
Related products to: HNF1A antibody
Related articles to: HNF1A antibody
- - Source: PubMed
Publication date: 2026/02/13
Liu RanMurusuri Aysha BakariHuang SiyiDai ZheJiang WeiTang Jun - Inflammatory arthritis (IA), including rheumatoid arthritis (RA), psoriatic arthritis (PsA) and gout, shares systemic inflammatory features indexed by C-reactive protein (CRP) and interleukin-6 (IL-6), yet the extent of their common genetic basis remains unclear. - Source: PubMed
Publication date: 2026/09/11
Feng XiaojianPan ZhixianLiu Guoping - Gestational diabetes mellitus (GDM) is linked to poor infant metabolic outcomes, potentially via altered human milk (HM) hormones and microRNAs. Since their specific roles remain unclear, this study synthesizes current evidence on HM adipose tissue-derived hormones (particularly adiponectin, leptin, and resistin) and microRNA modifications during gestational diabetes. Firstly, a systematic review following PRISMA 2020 guidelines was conducted (PROSPERO: CRD42024612813). Searches in major databases identified studies comparing HM adiponectin, leptin, or resistin concentrations and/or miRNA profiles between GDM and normoglycemic mothers. Secondly, bioinformatics analysis using miRWalk 3.0, functional enrichment, and network topology mapping examined miRNA interactions with , and genes. Twelve studies were included. Adiponectin showed the most consistent GDM-associated reductions, though findings were context-dependent. Leptin was primarily associated with maternal adiposity rather than GDM status. Resistin evidence was insufficient. Three miRNA studies revealed stage-dependent dysregulation in GDM, with , and linked to infant growth outcomes during the first 6 months. Bioinformatics identified and as targeting all three adipokine genes, with enrichment in glucose homeostasis and insulin resistance pathways. Network analysis highlighted , and as central nodes. GDM is associated with selective alterations in HM adipokines and miRNAs, with adiponectin and specific miRNAs showing the strongest signals. These findings support a conceptual model where GDM shapes HM's molecular composition through interacting endocrine and posttranscriptional mechanisms, potentially influencing infant metabolic programming. Larger longitudinal studies are needed to validate these observations and determine clinical relevance. - Source: PubMed
Publication date: 2026/08/31
Zhang ZhijunDavoudi MaryamGhafourian AmirrezaDehghan ParmidaAhmadi MojdeAyyoubzadeh Seyed MohammadMiao XiaoleiChoobineh HamidAfrisham Reza - Hepatocellular carcinoma (HCC) accounts for many cancer-related morbidity and mortality cases. This study aimed to assess the expression of circ-SMARCA5, circ-RHOT1, and hepatocyte nuclear factor 1 homeobox A (HNF1A). Analyze the protein expression of HNF1A, and identify HNF1A polymorphism and its correlation with HCC incidence and staging. - Source: PubMed
Publication date: 2026/08/28
Ibrahim Basma AElsayed Basma SGendia Mohamed AbdelazizMoustafa ManarEl Desoky Ansam M Z - Rare lung neuroendocrine neoplasms (LNENs), including pulmonary carcinoids and large-cell neuroendocrine carcinomas (LCNEC), are heterogeneous tumors. Current World Health Organization (WHO) classification primarily relies on morphological features, leading to important inter-observer variability and sub-optimal prognostic accuracy. This review highlights the clinical utility of molecular profiling to overcome these diagnostic and prognostic challenges. Recent multi-omics studies have demonstrated that pulmonary carcinoids are not a uniform entity but comprise distinct molecular subgroups (A1, A2, B, and supra-carcinoids) with unique clinical and genomic features. Furthermore, the recently described atypical SCLC adds another layer of heterogeneity to this spectrum. For clinical practice, a biomarker panel consisting of OTP, CD44, and Ki-67 can improve the prediction of disease recurrence in pulmonary carcinoids, enabling personalized follow-up strategies. Furthermore, subgroup-specific markers, such as OTP, ASCL1, and HNF1A, may facilitate clinical implementation of molecular profiles. Within LCNEC molecular profiles are heterogenous, generally defining two major subgroups (SCLC-like and NSCLC-like). Emerging therapies targeting and show potential relevance for clinical screening of these targets. Integration of subgroup-specific molecular markers into routine diagnostics is essential. This approach may allow clinicians to refine risk stratification, prevent unnecessary long-term surveillance, and develop personalized treatment approaches for patients with pulmonary NENs. - Source: PubMed
Publication date: 2026/08/10
Leunissen DaphneMoonen Lauravan Weert TijmenHeijboer FrankHillen Lisa MVon der Thüsen JanSpeel Ernst-JanDingemans Anne-MarieDerks Jules Louis