Ask about this productRelated genes to: CYP4F12 Blocking Peptide
- Gene:
- CYP4F12 NIH gene
- Name:
- cytochrome P450 family 4 subfamily F member 12
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 19p13.12
- Locus Type:
- gene with protein product
- Date approved:
- 2002-07-05
- Date modifiied:
- 2016-10-05
Related products to: CYP4F12 Blocking Peptide
Related articles to: CYP4F12 Blocking Peptide
- Asthma is a heterogeneous inflammatory disorder involving multiple immune pathways, frequently presenting alongside comorbidities such as chronic rhinosinusitis with nasal polyps (CRSwNP). Although biologic therapies such as dupilumab have shown clinical efficacy, the molecular mechanisms underlying variable treatment responses remain poorly understood. This study aimed to characterize transcriptomic patterns that distinguish asthmatic patients from healthy controls and to evaluate transcriptomic changes induced by dupilumab. Whole-blood RNA-seq was performed in 66 samples, 18 patients (G0) with severe asthma before and after 6 months of dupilumab treatment compared with 30 non-asthmatic controls. Differentially expressed genes (DEGs) were identified and validated by quantitative PCR (qPCR). Clinical responses were assessed using the FEV1, Exacerbations, Oral corticosteroids, Symptoms (FEOS) score and the Sino-Nasal Outcome Test-22 (SNOT-22). A total of 1124 DEGs were identified, distinguishing asthmatic patients from controls. Notably, , , , , and were differentially expressed across all patients' subgroups and are proposed as putative general disease biomarkers. Unsupervised machine learning analysis of pre- vs. post-dupilumab transcriptomic profiles identified two distinct patient subgroups within G0, here termed G1 and G2. When comparing baseline vs. post-treatment samples in the overall cohort (G0), only 12 DEGs were identified. In contrast, stratified analysis revealed 1288 DEGs in G1 and 354 DEGs in G2, suggesting divergent molecular response to treatment. Additionally, baseline expression of was identified as a predictor of CRSwNP non-super-responders. By applying unsupervised machine learning to transcriptomic profiles, this exploratory study identifies two distinct endotypes with divergent molecular mechanisms of response to dupilumab, supporting a precision medicine approach to biologic therapy in severe asthma. - Source: PubMed
Publication date: 2026/06/10
Moreno-Jiménez EmmaMorgado NataliaGarcía-Sánchez AsunciónTriviño Juan CarlosEstravís MiguelGómez-García ManuelGil-Melcón MaríaLázaro-Sastre MilagrosSanz CatalinaIsidoro-García MaríaDávila Ignacio - Although aldehyde dehydrogenases 1 family member A1 (ALDH1A1) has been extensively studied in cancer, its role in hepatocellular carcinoma (HCC) remains poorly understood. This study was designed to characterize the expression pattern and functional roles of ALDH1A1 in HCC, and to further investigate its underlying molecular mechanisms using integrated proteomic analysis. - Source: PubMed
Yue HanxunHu ZenanWu GuozhiLi RenpengJiang N AZheng Y AWang YupingZhou Yongning - The gut microbiota plays a crucial role in the pathogenesis of rectal adenocarcinoma (READ). While studies have established associations between microbial alterations and READ, the dynamics of gut microbiota-host interactions within this specific disease context remain to be fully elucidated. This study aimed to characterize the structural landscape of the gut microbiota and the profile of faecal metabolites in patients with READ. Faecal samples were collected from 33 individuals with READ and 34 healthy controls (HC), with post-neoadjuvant treatment faecal samples also collected from the 5 READ patients, and 16 S rRNA gene amplification sequencing and untargeted liquid chromatography-mass spectrometry metabolomics analysis were performed. We employed methods such as weighted correlation network analysis (WGCNA) and molecular docking to identify target gene-related information, and performed in vitro experiments to explore the effects of guanidinoacetic acid (GAA) on colorectal cancer cell lines. Bacillota (formerly Firmicutes), Pseudomonadota (formerly Proteobacteria), Actinomycetota (formerly Actinobacteria), and Bacteroidota (formerly Bacteroidetes) were the most abundant phyla in patients with READ and healthy controls (HC). At the genus level, Peptostreptococcus exhibited marked enrichment in the READ cohorts, whereas Faecalibacterium was dominant in the HC group. The predicted microbial functional analysis indicated a significant increase in the metabolism of betaine, guanidinoacetic acid (GAA), L-tryptophan, arachidonic acid, and arachidic acid. Moreover, by comparing the faecal metabolites between the HC and READ groups, Pearson's correlation analysis demonstrated significant interactions between six microbiota taxa and nine metabolites, suggesting specific human metabolic pathways. The cellular function results demonstrated that GAA promoted the proliferation, invasion, and migration of colorectal cells while inhibiting apoptosis. Further analysis revealed that GAA may promote CRC progression of colorectal cancer by affecting molecules such as KLB, CA2, CSTG, CYP4F12, and GZBM. Through integrated analysis, this study links gut microbial metabolites to READ and identifies GAA as a metabolite with possible relevance to the disease process, indicating a direction for further validation. - Source: PubMed
Publication date: 2026/04/22
Zhao YulongTian XuebinJiang JiayuDong HanchenFeng HanhanLiu XiaofengShang LiangWu Nanping - The high molecular phenotype heterogeneity of cervical cancer (CC) is the main focus of individualized therapy. Molecular classification may lead to personal treatment and new drug discovery. We summarized the molecular features by establishing a new classification of metabolism-related gene expression profiles. - Source: PubMed
Publication date: 2025/10/29
Chen XiaohongHong CaixiaZhang GuohuiLin BixianLiu JingyiWang RonglongLi Chunbo - Lymph node (LN) metastasis is related to poor prognosis in bladder cancer (BLCA). To explore novel signature genes associated with LN metastasis in BLCA, we identified 17 signature genes with nonzero coefficients to construct the prognostic model, which demonstrated a prognostic accuracy with an area under the curve of 0.706 at 1 year, 0.701 at 3 years, and 0.688 at 5 years. , , and especially , three of the above signature genes, exhibited significant upregulation in BLCA with LN metastasis, thereby contributing to the unfavorable survival of BLCA patients. Meanwhile, we validated that FKBP10 exerts a biological function in bladder cancer metastasis through cytological experiments. Moreover, by utilizing the CIBERSORT algorithm and immunofluorescence assay, we identified and validated a significant upregulation of M0 macrophages, alongside a downregulation of activated NK cells and CD8 T cells, which were associated with the presence of LN metastasis in BLCA. Conclusively, these results will provide new insights for future improvements in diagnosis, treatment, and prognosis evaluation for BLCA patients with LN metastasis. - Source: PubMed
Publication date: 2025/10/17
Sun YifanDing MengSun JiyuanZhang QingCao WenmingChen WeiWang XinpingDiao WenliGuo Hongqian