2 min read

ID: 1108680

Short Link: https://gregory-ms.com/articles/1108680/

Discovery Date: 24 November 2022, 20:07:41 UTC

Published Date: 2022-11-24 00:00:00

Source: BioMedCentral

Link: https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-022-04328-w

Manual Selection: none

Machine Learning Gaussian Naive Bayes Model: false

Abstract

jats:titleAbstract</jats:title>jats:sec jats:titleBackground</jats:title> jats:pWith the rapid progress of high-throughput sequencing technology, characterization of schizophrenia (SZ) with underlying probing of the gut microbiome can explore pathogenic mechanisms, estimate disease risk, and allow customization of therapeutic and prophylactic modalities. In this study, we compared the differences in gut microbial diversity and composition between 50 SZ subjects and 50 healthy matched subjects in Zhejiang, China via targeted next-generation sequencing (16S rRNA amplicon).</jats:p> </jats:sec>jats:sec jats:titleResults</jats:title> jats:pAccordingly, the alpha diversity indices (observed species index, Shannon index, and Simpson index) of the gut microbiome in the healthy control group were higher than those in the SZ group. Additionally, principal coordinate analysis and non-metric multidimensional scaling of beta diversity revealed that patients with SZ clustered more tightly than healthy controls. At the phylum level, we found that the abundance of jats:italicBacteroidetes</jats:italic> and jats:italicProteobacteria</jats:italic> in the SZ group was significantly increased. At the genus level, the relative abundances of jats:italicPrevotella</jats:italic>, jats:italicParabacteroides</jats:italic>, and jats:italicSutterella</jats:italic> were significantly higher, whereas the abundances of jats:italicFaecalibacterium</jats:italic>, jats:italicBlautia</jats:italic>, jats:italicLachnospira</jats:italic>, jats:italicClostridium</jats:italic>, jats:italicRuminococcus</jats:italic>, and jats:italicCoprococcus</jats:italic> were lower than those in the healthy control group. Further analyses revealed that jats:italicSuccinivibrio</jats:italic>, jats:italicMegasphaera</jats:italic>, and jats:italicNesterenkonia</jats:italic> may serve as potential biomarkers for distinguishing patients with SZ from those in the control cohort.</jats:p> </jats:sec>jats:sec jats:titleConclusions</jats:title> jats:pThis study profiled differences in gut microbiome diversity, taxonomic composition, and function between SZ and healthy cohorts, and the insights from this research could be used to develop targeted next-generation sequencing-based diagnoses for SZ.</jats:p> </jats:sec>

Noun Phrases in Title

  • A comparative study
  • the association
  • gut microbiome
  • schizophrenia
  • Zhejiang
  • China
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