Ask about this productRelated genes to: ACADS Blocking Peptide
- Gene:
- ACADS NIH gene
- Name:
- acyl-CoA dehydrogenase short chain
- Previous symbol:
- -
- Synonyms:
- SCAD, ACAD3
- Chromosome:
- 12q24.31
- Locus Type:
- gene with protein product
- Date approved:
- 1986-01-01
- Date modifiied:
- 2017-09-21
Related products to: ACADS Blocking Peptide
Related articles to: ACADS Blocking Peptide
- Intestinal mucosal healing is a key indicator for evaluating therapeutic efficacy and predicting long-term prognosis in ulcerative colitis (UC). Short-chain fatty acids (SCFAs) play an important role in maintaining intestinal homeostasis and promoting mucosal repair; however, their quantitative association with UC mucosal healing has not been fully elucidated. This study aimed to investigate the association between SCFA levels and endoscopic mucosal healing in UC patients and evaluate their clinical value as predictive biomarkers. - Source: PubMed
Publication date: 2026/06/13
He Ben-QiuLai Xiang-QuanYang XueZhou Jin - Spiders are largely terrestrial, but some lineages have independently adapted to marine and freshwater habitats. Although physiological and behavioral traits supporting these evolutionary transitions have been characterized, the genomic basis of adaptation to aquatic and semi-aquatic habitats in spiders remains unclear. Here, we report a chromosome-level genome assembly for the aquatic spider Argyroneta aquatica. Comparative analysis of 22 spider species supports two independent transitions in semi-aquatic (∼56 Mya) and aquatic (∼44 Mya) lineages. The aquatic spider show distinct respiratory morphology compared with terrestrial spiders, including anterior spiracles and denser tracheoles. Molecular evolution analyses identified lineage-specific shifts in selective constraint or evidence of positive selection linked to trachea development (e.g., Wnt-1, Catenin beta, TMEM234, Arp3), hypoxia response (e.g., Uqcrfs1, COX5B, SLC2A3), lipid metabolism (e.g., Pnliprp2, ND-ACP), and osmoregulation. In the semi-aquatic spiders (Desis spp.), we detected strengthened purifying selection or positive selection on genes involved in respiratory/energy metabolism (e.g., SdhD, SLC2A3) and ion transporters (e.g., Slc24a5). Comparative results further indicate that the A. aquatica genome may harbor bacterial-origin genes homologous to ABC transporters (39 genes) and acyl-CoA dehydrogenases (ACADs; 21 genes), which may support metabolic or transport functions in the aquatic lineage. Transcriptomic and metabolomic profiling of A. aquatica under hypoxic challenge revealed metabolic reprogramming, including shifts in glycolytic and TCA intermediates and upregulation of genes that promote fatty-acid β-oxidation (e.g., Slc13a5, AACS), consistent with extended anoxia tolerance (>48 h). Overall, this work provides genomic resources and highlights genomic signatures associated with semi-aquatic and aquatic adaptation in spiders. - Source: PubMed
Publication date: 2026/06/12
Fan ZhengWang Lu-YuLuo BinRen Tian-YuGao Jia-XinLiu PiaoCheng Ling-XinCai Yu-JunTan BingHuang QianDeng Ming-QinZuo QingZhang Xiang-YunLu Jin-ZhenSun Li-NaIrfan MuhammadLiu NingTong ChaoBai MingZhang Zhi-Sheng - Improving feed efficiency in dairy cattle requires a better understanding of tissue-specific mechanisms that support energy and nutrient utilization. Skeletal muscle represents a major proportion of body mass in dairy cows and plays a major role in post-absorptive metabolism. Our previous liver proteomics study highlighted that high-efficiency (HE) cows exhibit enhanced hepatic fatty acid oxidation, supporting lower feed intake without compromising productivity. This study aimed to identify muscle-based metabolic adaptations associated with feed efficiency. Skeletal muscle samples from 8 HE (low residual feed intake, RFI) and 8 low-efficiency (LE; high-RFI) mid-lactation (119 ± 33 DIM) Holstein cows, ranked at the top and bottom 10% of RFI, were analyzed using tandem mass tag proteomics and RT-qPCR to identify differences in skeletal muscle related to feed efficiency. HE cows had significantly greater muscle glycogen content and exhibited a coordinated metabolic shift favoring lipid utilization. RT-qPCR showed increased expression of β-oxidation (PPARA, ACADS, ACADVL, ACOX1) and triglyceride mobilization (ATGL) in HE cows. In contrast, proteomics revealed lower abundance of glycolytic and glycogenolytic enzymes (e.g., ALDOA, PFKM, PGAM2, PYGM, AGL) in HE muscle, indicating reduced glucose and glycogen catabolism. Proteins involved in the SLC2A4 (GLUT4) translocation pathway (ACTG1, YWHAH, YWHAZ) were more abundant in HE cows, suggesting an increased capacity for insulin-stimulated GLUT4 translocation, which may contribute to greater glycogen storage. Proteomics also showed enhanced redox regulation in HE cows, with greater abundance of GSR, CAT, GPX1, and PRDX2, and lower abundance of mitochondrial complexes I (NDUFB8) and III (UQCRC2), major sites of reactive oxygen species formation. These results indicate that skeletal muscle in HE cows adopts a metabolic phenotype characterized by increased reliance on lipid-derived fuels, glucose sparing, and improved oxidative homeostasis. Together with previously reported hepatic adaptations, these muscle-specific responses likely contribute to whole-animal feed efficiency in lactating dairy cows. - Source: PubMed
Publication date: 2026/05/30
Daddam Jayasimha RSura MounicaSarmikasoglou EfstathiosAhmad GhayyoorNaughton SarahMills MorganWhite Heather MVandeHaar MichaelZhou Zheng - Glioblastoma (GBM) remains a lethal brain tumor with limited prognostic tools. Metabolic reprogramming, particularly in understudied pathways like propionate metabolism, may offer new biomarkers. Here, we identified a novel prognostic signature based on seven propionate metabolism-related genes (SLC9A1, ELANE, ACADS, SOAT2, MYD88, ADSL, and BMP2) from the TCGA-GBM cohort. A risk scoring model was constructed via LASSO Cox regression effectively stratified patients into high- and low-risk groups with significant survival differences, which was also validated in independent GEO datasets. Multiomics analysis revealed that the high-risk group was associated with an immunosuppressive microenvironment, characterized by increased immune checkpoint expression and distinct immune cell infiltration. Mutational profiling showed a strong association with key driver alterations, including enrichment of RB1 mutations in high-risk and IDH1 mutations in low-risk patients. Single-cell RNA-seq (scRNA-seq) analysis confirmed the specific enrichment of signature genes within malignant cells, and coexpression network analysis (hdWGCNA) further linked the high-risk phenotype to transcriptional modules. In conclusion, we established and validated a robust metabolic gene signature that not only predicts prognosis but also delineates a high-risk GBM subtype defined by integrated metabolic, immunogenomic, and transcriptional features, providing new insights into the determinants of GBM aggressiveness. - Source: PubMed
Publication date: 2026/05/16
Li MengtongLiu JiayiLiu ZichenLiu XiaLun Peng - The mitochondrial genetic basis of intervertebral disc degeneration (IVDD) remains incompletely understood. This study employed multi-omics Mendelian randomization (MR) analysis to investigate the potential mitochondrial-related genetic mechanisms underlying IVDD. Using two-sample MR, we integrated and analyzed multi-omics quantitative trait loci, encompassing methylation, expression, protein abundance, and mitochondrial DNA, from genome-wide association studies (GWAS). Genetic associations with IVDD were obtained from the FinnGen study for discovery and the GWAS Catalog database for validation, with Steiger filtering and co-localization analysis further performed to strengthen causal inference. Additionally, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and drug prediction analyses were comprehensively employed to identify potential therapeutic targets. Our multi-omics evidence identified 23 genes, among which 5 genes (glycine amidinotransferase [GATM], SLC25A13, acyl-CoA dehydrogenase short [ACADS], TSFM, and ATP23) showed tier 1 evidence for IVDD, with GATM demonstrating the strongest support. MR analysis revealed that a higher level of GATM was associated with a reduced risk of IVDD (odds ratio: 0.934, 95% confidence interval, 0.887-0.983). Furthermore, 15 drugs targeting GATM were identified, with HYDRONIDONE completing molecular docking. Through the integration of multi-omics data, we identified 5 promising therapeutic targets for IVDD, with GATM exhibiting the most consistent multi-omics signal, and discovered 15 drugs targeting GATM and 11 drugs targeting ACADS. - Source: PubMed
Xu FangxingWang ChaoSun MengShi ShuaiWang XuyaoLiu DonghuiYu LianhaoXi ChunyangKong Pengyu