Die intestinale Mikrobiota bei chronisch-entzündlichen Darmerkrankungen

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Die intestinale Mikrobiota umfasst alle lebenden Mikroorganismen im Gastrointestinaltrakt und ist entscheidend für die Funktion des Magen-Darm-Trakts. Klinische Beobachtungen sowie Laborexperimente belegen eine zentrale Rolle der bei chronisch-entzündlichen Darmerkrankungen (CED). Viele mechanistische Details sind jedoch unklar. Es werden Veränderungen deren kausaler Zusammenhang mit Pathogenese von CED beschrieben. Aktuelle zukünftige diagnostische therapeutische Möglichkeiten diskutiert. Narratives Review. Patienten in ihrer Zusammensetzung, Diversität verändert, spezifische (universale) CED-definierende Bakterien konnten bis jetzt nicht gefunden werden. gesunde hat zahlreiche entzündungshemmende Funktionen, darunter Produktion kurzkettiger Fettsäuren oder Kompetition Pathogenen. CED-Mikrobiota wirkt dagegen durch Destruktion intestinalen Barriere direkte Interaktion dem Immunsystem entzündungsfördernd. Balance zwischen pro- antiinflammatorischen Wirkungen scheint Entstehung Darmentzündung zu sein. Eine mikrobiotabasierte CED-Diagnostik vielversprechend, aber noch den klinischen Einsatz bereit. Probiotika fäkale Mikrobiotatransplantation haben klinische Effekte vor allem Colitis ulcerosa, das Potenzial mikrobiotabasierter Therapien wird annährend ausgeschöpft. CED-Dysbiose bleibt undefiniert. unklar, wie vielen parallel existierenden antientzündlichen Mechanismen zur CED-Pathogenese beitragen. Das unzureichende Verständnis erschwert Entwicklung Diagnostik Therapien.

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Intestinal microbiota as biomarkers for different colorectal lesions based on colorectal cancer screening participants in community

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 7, 2025

The dysregulation of intestinal microbiota has been implicated in the pathogenesis colorectal cancer (CRC). However, utilization for identify lesions different procedures CRC screening populations remains limited. A total 529 high-risk individuals who underwent were included, comprising 13 advanced adenomas (Aade), 5 CRC, 59 non-advanced (Nade), 129 colon polyps (Pol), 99 cases inflammatory disease (Inf), and 224 normal controls (Nor). 16S rRNA gene sequencing was used to profile communities. Gut Microbiota Health Index (GMHI) average variation degree (AVD) employed assess health status groups. Our findings revealed that Nor group exhibited significantly higher GMHIs lowest AVD compared four Lesion model incorporating bacterial genera demonstrated optimal efficacy distinguishing Aade from Nor, with an area under curve (AUC) 0.81 a 95% confidence interval (CI) 0.72 0.89. Specifically, 55 combination superior performance differentiating (AUC 0.98; CI, 0.96-1), 25 showed 0.95). Additionally, 27 Nade 0.82). Inf 0.71). study identified specific microbial biomarkers can differentiate between healthy individuals. markers may serve as valuable tools community-based programs.

Language: Английский

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Identifying reproducible biomarkers for microbiome association studies requires thousands of sample sizes

Science Bulletin, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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The Chinese gut virus catalogue reveals gut virome diversity and disease-related viral signatures

Genome Medicine, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 26, 2025

The gut viral community has been increasingly recognized for its role in human physiology and health; however, our understanding of genetic makeup, functional potential, disease associations remains incomplete. In this study, we collected 11,286 bulk or metagenomes from fecal samples across large-scale Chinese populations to establish a Gut Virus Catalogue (cnGVC) using de novo virus identification approach. We then examined the diversity compositional patterns virome relation common diseases by analyzing 6311 representing 28 unhealthy states. cnGVC contains 93,462 nonredundant genomes, with over 70% these being novel viruses not included existing databases. This resource enabled us characterize specificity virome. Using cnGVC, profiled populations, assessed sex- age-related variations, identified 4238 universal signatures diseases. A random forest classifier based on achieved high accuracy distinguishing diseased individuals controls (AUC = 0.698) high-risk patients 0.761), predictive ability was also validated external cohorts. Our resources findings significantly expand current provide comprehensive view between will pave way strategies treatment prevention

Language: Английский

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Pesticide exposure induces risks of gestational anemia by maternal gut microbiota: A prospective cohort study

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 138465 - 138465

Published: May 1, 2025

Language: Английский

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Leveraging human microbiomes for disease prediction and treatment

Trends in Pharmacological Sciences, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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