Ask about this productRelated genes to: SLC17A4 Blocking Peptide
- Gene:
- SLC17A4 NIH gene
- Name:
- solute carrier family 17 member 4
- Previous symbol:
- -
- Synonyms:
- KIAA2138
- Chromosome:
- 6p22.2
- Locus Type:
- gene with protein product
- Date approved:
- 1999-07-19
- Date modifiied:
- 2016-02-17
Related products to: SLC17A4 Blocking Peptide
Related articles to: SLC17A4 Blocking Peptide
- Although genome-wide association studies have identified thousands of disease-associated loci, the mechanistic understanding and drug target discovery remain challenging, particularly for complex diseases. The multi-signal architecture of complex diseases complicates the interpretation of genetic contributions. To address this challenge, we develop an approach comprising locus-specific stratification (LSS) and gene regulatory prioritization score (GRPS), which uniquely considers multi-signals during fine-mapping and target gene identification. LSS significantly enhances the interpretability of genetic risk associated with complex diseases. For loci associated with serum urate levels, the method identifies candidate causal genes in 34.43% of loci, surpassing the performance of other methods by 5.47% to 25.14%. GRPS considers the regulatory network of LSS-variants comprehensively and successfully nominates under-explored drug targets for hyperuricemia with high confidence such as SLC17A4, which is further validated using epigenetic activation and phenotypic assays. This study introduces an approach to efficiently and comprehensively address the multi-signal challenges in complex diseases. - Source: PubMed
Publication date: 2026/08/18
Zhang JingLiu QiaoqiaoZhu YepingXia LimeiWang KangchunGuo YueGong LuyuLiu ZhaojunQin ZhaohuiShi ShaolinYang Jingping - To investigate whether iron metabolism exerts a causal influence on chronic rhinosinusitis (CRS) and to identify iron-related biomarkers and regulatory genes with diagnostic and therapeutic potential. - Source: PubMed
Publication date: 2026/01/14
Lv JiajiaJiang Feifei - This study was conducted to investigate the effect of dietary multi-enzyme (MCPC) supplementation on synergistically enhancing the functions of both the foregut and hindgut, ultimately improving the nutrient digestion and utilization throughout the gastrointestinal tract. results demonstrated that MCPC increased the phosphorus and reducing sugar levels in the supernatant during enzymatic hydrolysis. Furthermore, during the fermentation of the enzymatic hydrolysis products, MCPC significantly increased the FRD value of the enzymatic hydrolysis products from both the positive control (PC) and negative control 1 (NC1) diets ( < 0.05). MCPC reduced the T value of fermentation products from the PC diet ( < 0.01), and decreased the V ( = 0.082) and K ( < 0.05) values for the NC1 diet. Additionally, 72 crossbred barrows [Duroc × (Landrace × Yorkshire)], weighing 25 kg, were fed one of six diets until their live weight approached 50 kg. The basal diets consisted of PC, NC1 and negative control 2 (NC2), while the remaining three diets were prepared by adding 100 mg/kg MCPC to the respective basal diets. The results showed that MCPC supplementation significantly upregulated the expression of solute carrier family 17 member 4 () and vitamin D receptor () genes in the duodenum ( < 0.05), while downregulating the expression of Calbindin-D28k () and solute carrier family 1 member 4 () genes ( < 0.05) in growing pigs. Moreover, MCPC supplementation significantly upregulated the expression of , glucose transporter 2 () and intestinal fatty acid binding protein () genes in the jejunum of growing pigs. Furthermore, MCPC supplementation significantly increased the relative abundances of , and ( < 0.05), while reducing the relative abundances of and ( < 0.05) in the colon of growing pigs. In conclusion, MCPC enhances nutrient digestion and absorption in the foregut, provides fermentable substrates for hindgut microbial fermentation, and improves gut microbiota composition. This improves hindgut fermentation and supports the synergistic interaction between the foregut and hindgut, ultimately improving nutrient utilization and benefiting animal health. - Source: PubMed
Publication date: 2025/02/25
Chen FangyuanZhao LianpengHuang LingjieZhuo YongXu ShengyuLin YanChe LianqiangFeng BinWu DeFang Zhengfeng - The breeding of disease-resistant pigs has consistently been a topic of significant interest and concern within the pig farming industry. The study of pig blood indicators has the potential to confer economic benefits upon the pig farming industry, whilst simultaneously providing valuable insights that can inform the study of human diseases. In this study, an F2 resource population of 489 individuals was generated through the intercrossing of Large White boars and Min pig sows. A total of 17 haematological parameters and T lymphocyte subpopulations were measured, including white blood cell count (WBC), lymphocyte count (LYM), lymphocyte count percentage (LYM%), monocyte count (MID), monocyte count percentage (MID%), neutrophilic granulocyte count (GRN), percentage of neutrophils (GRN%), mean platelet volume (MPV), platelet distribution width (PDW), platelet count (PLT), CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8-CD3+, CD4-CD8+CD3+, CD4-CD8-CD3+, and CD3+. The Illumina PorcineSNP60 Genotyping BeadChip was obtained for all of the F2 animals. Subsequently, a genome-wide association study (GWAS) was conducted using the TASSEL 5.0 software to identify associated variants and candidate genes for the 17 traits. Significant association signals were identified for PCT and PLT on SSC7, with 1 and 11 significant SNP loci, respectively. A single nucleotide polymorphism (SNP) on SSC12 was identified as a significant predictor of the white blood cell (WBC) trait. Significant association signals were detected for the T lymphocyte subpopulations, namely CD4+/CD8+, CD4+CD8+CD3+, CD4+CD8-CD3+, and CD4-CD8+CD3+, with the majority of these signals observed on SSC7. The genes , , and were identified as potential candidates for influencing CD4+/CD8+ and CD4-CD8+CD3+. A missense variant, c.2707 G>A, in the SLC17A4 gene has been demonstrated to be significantly associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Three missense variants (c.425 A>C, c.500 C>T, and c.733 A>G) have been identified in the TRIM15 gene as being linked to the CD4+/CD8+ trait. Nevertheless, only c.425 A>C has been demonstrated to be significantly associated with CD4-CD8+CD3+. In the gene, one missense variant (c.957 T>C) has been identified as being associated with the CD4+/CD8+ and CD4-CD8+CD3+ traits. Additionally, significant association signals were observed for CD4+CD8+CD3+ and CD4+CD8-CD3+ on SSC2 and 5, respectively. Subsequently, a gene ontology (GO) enrichment analysis was conducted on all genes within the quantitative trait loci (QTL) intervals of platelet count, CD4+/CD8+, and CD4-CD8+CD3+. The MHC class II protein complex binding pathway was identified as the most significant pathway among the three immune traits. These results provide guidance for further research in the field of breeding disease-resistant pigs. - Source: PubMed
Publication date: 2024/11/01
Niu NaiqiZhao RunzeTian MingZong WenchengHou XinhuaLiu XinWang LigangWang LixianZhang Longchao - Although great progress has been made in the fine-tuning of diplotypes, there is still a need to further improve the predictability of individual phenotypes of pharmacogenetically relevant enzymes. The aim of this study was to analyze the additional contribution of sex and variants identified by exome chip analysis to the metabolic ratio of five probe drugs. A cocktail study applying dextromethorphan, losartan, omeprazole, midazolam, and caffeine was conducted on 200 healthy volunteers. CYP2D6, 2C9, 2C19, 3A4/5, and 1A2 genotypes were analyzed and correlated with metabolic ratios. In addition, an exome chip analysis was performed. These SNPs correlating with metabolic ratios were confirmed by individual genotyping. The contribution of various factors to metabolic ratios was assessed by multiple regression analysis. Genotypically predicted phenotypes defined by CPIC discriminated very well the log metabolic ratios with the exception of caffeine. There were minor sex differences in the activity of CYP2C9, 2C19, 1A2, and CYP3A4/5. For dextromethorphan (CYP2D6), IP6K2 (rs61740999) and TCF20 (rs5758651) affected metabolic ratios, but only IP6K2 remained significant after multiple regression analysis. For losartan (CYP2C9), FBXW12 (rs17080138), ZNF703 (rs79707182), and SLC17A4 (rs11754288) together with CYP diplotypes, and sex explained 50% of interindividual variability. For omeprazole (CYP2C19), no significant influence of CYP2C:TG haplotypes was observed, but CYP2C19 rs12777823 improved the predictability. The comprehensive genetic analysis and inclusion of sex in a multiple regression model significantly improved the explanation of variability of metabolic ratios, resulting in further improvement of algorithms for the prediction of individual phenotypes of drug-metabolizing enzymes. - Source: PubMed
Publication date: 2024/04/18
Böhm RuwenBruckmueller HenrikeOswald StefanHübenthal MatthiasKaehler MeikeEhmke LenaHöcker JanSiegmund WernerFranke AndreCascorbi Ingolf