Science China Life Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Science China Life Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Science China Life Sciences, Journal Year: 2024, Volume and Issue: 67(5), P. 851 - 853
Published: April 12, 2024
Language: Английский
Citations
5Science China Life Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 10, 2024
Language: Английский
Citations
4Metabolites, Journal Year: 2025, Volume and Issue: 15(4), P. 269 - 269
Published: April 12, 2025
Background: The composition and metabolic activity of the gut microbiota play a crucial role in various health conditions, including occurrence development chronic constipation. Recent metabolomic advances reveal that microbiota-derived metabolites—such as SCFAs, bile acids, neurotransmitters, microbial gases—play critical roles regulating intestinal function. Methods: We systematically analyzed current literature on metabolomics This review consolidates findings from high-throughput techniques (GC-MS, LC-MS, NMR) comparing profiles constipated patients with healthy individuals. It also examines diagnostic improvements personalized treatments, fecal transplantation neuromodulation, guided by these insights. Results: shows reduced SCFA levels impair motility promote inflammation. An altered acid metabolism—with decreased secondary acids like deoxycholic acid—disrupts receptor-mediated signaling, further affecting motility. Additionally, imbalances amino metabolism neurotransmitter production contribute to neuromuscular dysfunction, while variations gas (e.g., methane vs. hydrogen) modulate transit. Conclusions: Integrating research clarifies how specific metabolites regulate These insights offer promising directions for precision diagnostics targeted therapies restore balance improve
Language: Английский
Citations
0Metabolites, Journal Year: 2025, Volume and Issue: 15(2), P. 96 - 96
Published: Feb. 4, 2025
Cigarette smoking is a leading cause of preventable mortality, largely due to the absence effective, non-invasive biomarkers for early disease detection. Profiling serum metabolomics identify metabolic changes holds potential accelerate detection process and individuals at risk developing smoking-related diseases. This study investigated biochemical metabolomic induced by nicotine exposure, with focus on disruptions in amino acid, lipid, carbohydrate metabolism. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was employed observe significant lipid acid metabolism, along alterations key pathways. A total 400 smokers 100 non-smokers were included evaluate related insulin resistance, blood profile, inflammation, kidney liver function. The results demonstrated significantly elevated (p < 0.05) levels glycemic markers smokers, including fasting glucose; glycated hemoglobin (HbA1c); inflammatory such as interleukin-6 (IL-6) C-reactive protein (CRP). Smokers also exhibited dyslipidemia, increased cholesterol (154.888 ± 35.565) LDL (117.545 24.138). Impaired function evident, higher AST, ALP, ALT, urea nitrogen, creatinine smokers. 930 metabolites identified, which 343 compared non-smokers. Among these, 116 upregulated, 127 downregulated. Metabolomic pathway analysis revealed eight identified three specific seven unique Through LC-MS/MS, fragments phenylalanine, tryptophan, valine, histidine, carnitine, sphinganine detected. Several lipidomic associated resistance cardiovascular complications observed. Cadmium (Cd) than (1.264 ppb vs. 0.624 ppb) showed strong negative correlation (R2 = 0.8061, p-value 0.015) zinc (Zn), likely Cd displacing Zn proteins causing nephrotoxicity through accumulation. highlights distinct caused that could serve It emphasizes importance identifying systemic indicators health issues, providing new opportunities preventive therapeutic interventions.
Language: Английский
Citations
0Frontiers in Microbiology, Journal Year: 2024, Volume and Issue: 15
Published: April 9, 2024
Background There is growing evidence of associations between the gut microbiota and anxiety disorders, where changes in microbiotas may affect brain function behavior via microbiota-gut-brain axis. However, population-level studies offering a higher level for causality are lacking. Our aim was to investigate specific associated metabolites that closely related disorders provide mechanistic insights novel management perspectives disorders. Method This study used summary-level data from publicly available Genome-Wide Association Studies (GWAS) 119 bacterial genera phenotype “All disorders” reveal causal effects on identify with A two-sample, bidirectional Mendelian randomization (MR) design deployed, followed by comprehensive sensitivity analyses validate robustness results. We further conducted multivariable MR (MVMR) analysis potential impact neurotransmitter-associated metabolites, bacteria-associated dietary patterns, drug use or alcohol consumption, lifestyle factors such as smoking physical activity observed associations. Results Bidirectional identified three causally disorders: genus Eubacterium nodatum group Ruminococcaceae UCG011 were protective, while an increased risk Further MVMR suggested metabolite-dependent mechanism, primarily driven tryptophan, tyrosine, phenylalanine, glycine cortisol, which consistent previous research findings, probably played significant role mediating these Furthermore, modifying pattern salt, sugar processed meat intake, adjusting state levels, appears be effective approaches targeting manage Conclusion findings offer avenues developing precise metabolites.
Language: Английский
Citations
3Frontiers in Cellular and Infection Microbiology, Journal Year: 2024, Volume and Issue: 14
Published: Nov. 20, 2024
Changes in the human gut microbiome have been linked to various chronic diseases, including obstructive pulmonary disease (COPD). While substantial knowledge is available on genomic features of fecal communities, little known about microbiome's transcriptional activity. Here, we analyzed metatranscriptomic (MTR) abundance MetaCyc pathways, SuperPathways, and protein domain families (PFAM) represented by a cohort non-small cell lung cancer (NSCLC) patients with- or without COPD comorbidity.
Language: Английский
Citations
0Science China Life Sciences, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 28, 2024
Language: Английский
Citations
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