Biogeography of intestinal mucus-associated microbiome: Depletion of genus Pseudomonas is associated with depressive-like behaviors in female cynomolgus macaques DOI Creative Commons

Xunmin Tan,

Jing Wu,

Hanping Zhang

et al.

Journal of Advanced Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Depression is a debilitating and poorly understood mental disorder. There an urgency to explore new potential biological mechanisms of depression the gut microbiota promising research area. Our study was aim understand regional heterogeneity molecular underlying induced by dysbiosis mucus-associated microbiota. Here, we only selected female macaques because they are more likely form natural social hierarchy in harem-like environment. Because high-ranking rarely displayed depressive-like behaviors, seven monkeys from individuals as control group (HC) same number low-ranking ones (DL), which significant behaviors. Then, collected mucus duodenum, jejunum, ileum, cecum colon DL HC for shotgun metagenomic sequencing, profile biogeography along duodenum colon. Compared with HC, noticeable behaviors such longer duration huddle sit alone (negative emotion behaviors), fewer locomotion, amicable ingestion activities (positive behaviors). Moreover, alpha diversity index (Chao) could predict aforementioned Further, identified that genus Pseudomonas consistently decreased throughout entire intestinal tract except jejunum. Specifically, there were 10, 18 28 species colon, respectively. bacterial module mainly composed positively associated three positive Functionally, involved derived lipid metabolisms PPAR signaling pathway, cholesterol metabolism, fat digestion absorption. Different regions revealed depletion macaques, might induce depressive phenotypes through regulating metabolism.

Language: Английский

The Effect of mitochondrial-associated endoplasmic reticulum membranes (MAMs) modulation: New insights into therapeutic targets for depression DOI

Maohui Yang,

Xuemei Qin, Xiaojie Liu

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106087 - 106087

Published: March 1, 2025

Language: Английский

Citations

0

Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures DOI Creative Commons
Cheng Chen, Chengyuan Deng, Yanwen Li

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: March 13, 2025

Prior studies have elucidated that alterations in gut microbiota are associated with a spectrum of tumors and metabolic disorders. However, the diagnostic value epithelial ovarian cancer remains insufficiently investigated. A total 34 patients diagnosis (EOC), 15 benign (TB), 30 healthy volunteers (NOR) were enrolled this study. Fecal samples collected, followed by sequencing V3–V4 region 16S rRNA gene. The clinical data pathological characteristics comprehensively recorded for further analysis, PICRUSt2 was utilized to conduct an analysis microbial functional predictions, WGCNA networks constructed integrating microbiome data. LEfSe employed identify markers, LASSO SVM analyses used screen markers conjunction Cally index, establish Microbial-Cally model. Bootstrap resampling internal validation model, whereas Hosmer–Lemeshow test decision curve (DCA) evaluate performance Plasma subjected untargeted metabolomics profiling, differential key metabolites significantly altered cancer. At same time, Spearman correlation study association between metabolites. supernatants from Escherichia coli Bifidobacterium cultures co-cultured SKOV3 cells. Cell proliferation, migration, invasion evaluated using Counting Kit-8 (CCK-8) assay, Transwell migration assays. Apoptosis assessed flow cytometry fluorescence signals Annexin V propidium iodide (PI) staining. Compared Nor TB populations, individuals diagnosed EOC demonstrated diminished diversity when contrasted both normal controls those presenting conditions. Specifically, relative abundance Bilophila, Bifidobacterium, other probiotics reduced while Shigella marked enrichment within cohort. Differential microorganisms identified through application machine learning techniques delineate characteristic profiles patients. significant index microorganisms. In conclusion, we biomarkers alongside model cancer, receiver operating (ROC) Area Under Curve (AUC) 0.976 (95%CI 0.943–1.00), AUC obtained 0.974. revealed robust concordance observed probabilities predicted generated provided net benefit. 233 group NT (NOR TB) groups. Among these, eight specific (HMDB0243492, C09265, HMDB0242046, HMDB0240606, C04171, HMDB0060557, HMDB0252797, C21412) exclusively derived microbiome. Notably, metabolite HMDB0240606 exhibited positive Shigella, it showed negative Ruminococcus. vitro possessed anti-tumor activity, pro-tumor activity. This provides inaugural comprehensive composition its among tumors, Hunan province, China.

Language: Английский

Citations

0

Non-dysbiotic gut microbiota profiles are associated with different spontaneous cortical activity in healthy older people DOI
J. Ignacio Serrano, Silvia Cruz-Gil,

C. Fernández

et al.

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Abstract The gut and the brain have shown to be linked through a multimodal, bidirectional pathway called gut-brain axis. In gut-to-brain way, microbiota has been main factor. physiological biochemical mechanisms of this communication described in detail, altered many neurological psychiatric conditions. However, it is unknown how influences activity, especially healthy condition. By clustering older people by their corresponding microbiome comparing spontaneous cortical we demonstrate that different unaltered profiles are associated with activity medial posterior areas. These areas memory, language emotion processing abilities. Therefore, provide evidence normal modulate related cognitive functions typically decline age. This implies nutritional interventions modify composition could help delay or ameliorate natural age-related decline.

Language: Английский

Citations

0

Microbial and Metabolite Signatures of Stress Reactivity in Ulcerative Colitis Patients in Clinical Remission Predict Clinical Flare Risk DOI Creative Commons
Jonathan P. Jacobs, Jenny Sauk, Aaron Ahdoot

et al.

Inflammatory Bowel Diseases, Journal Year: 2023, Volume and Issue: 30(3), P. 336 - 346

Published: Aug. 31, 2023

Abstract Background Stress reactivity (SR) is associated with increased risk of flares in ulcerative colitis (UC) patients. Because both preclinical and clinical data support that stress can influence gut microbiome composition function, we investigated whether profiles SR exist UC. Methods Ninety-one UC subjects biochemical remission were classified into high low groups by questionnaires. Baseline longitudinal characterization the intestinal was performed 16S rRNA gene sequencing fecal plasma global untargeted metabolomics. Microbe, metabolite, metabolite abundances analyzed separately to create random forest classifiers for biomarker-derived scores. Results High characterized altered abundance microbes, primarily Ruminococcaceae Lachnospiraceae families; metabolites including reduced levels monoacylglycerols (endocannabinoid-related) bile acids; 4-ethyl phenyl sulfate, 1-arachidonoylglycerol (endocannabinoid), sphingomyelin. Classifiers generated from baseline microbe, distinguished vs area under receiver operating characteristic curve 0.81, 0.83, 0.91, respectively. scores derived these significantly flare during 6 24 months follow-up, odds ratios 3.8, 4.1, 4.9. Clinical inflammation did not alter microbial but attenuated differences between SR. Conclusions signatures predict risk, suggesting may contribute stress-induced flares.

Language: Английский

Citations

9

Biogeography of intestinal mucus-associated microbiome: Depletion of genus Pseudomonas is associated with depressive-like behaviors in female cynomolgus macaques DOI Creative Commons

Xunmin Tan,

Jing Wu,

Hanping Zhang

et al.

Journal of Advanced Research, Journal Year: 2024, Volume and Issue: unknown

Published: May 1, 2024

Depression is a debilitating and poorly understood mental disorder. There an urgency to explore new potential biological mechanisms of depression the gut microbiota promising research area. Our study was aim understand regional heterogeneity molecular underlying induced by dysbiosis mucus-associated microbiota. Here, we only selected female macaques because they are more likely form natural social hierarchy in harem-like environment. Because high-ranking rarely displayed depressive-like behaviors, seven monkeys from individuals as control group (HC) same number low-ranking ones (DL), which significant behaviors. Then, collected mucus duodenum, jejunum, ileum, cecum colon DL HC for shotgun metagenomic sequencing, profile biogeography along duodenum colon. Compared with HC, noticeable behaviors such longer duration huddle sit alone (negative emotion behaviors), fewer locomotion, amicable ingestion activities (positive behaviors). Moreover, alpha diversity index (Chao) could predict aforementioned Further, identified that genus Pseudomonas consistently decreased throughout entire intestinal tract except jejunum. Specifically, there were 10, 18 28 species colon, respectively. bacterial module mainly composed positively associated three positive Functionally, involved derived lipid metabolisms PPAR signaling pathway, cholesterol metabolism, fat digestion absorption. Different regions revealed depletion macaques, might induce depressive phenotypes through regulating metabolism.

Language: Английский

Citations

3