Evidence map›Paper›PMID 37576972›Full record

ArticleFrontiers in endocrinology2023

Profiles and diagnostic value of intestinal microbiota in schizophrenia patients with metabolic syndrome.

Mengjuan Xing, Hui Gao, Lili Yao, Li Wang, Chengfang Zhang, Liping Zhu, Donghong Cui

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Mengjuan XingDepartment of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Hui GaoThe First Minzheng Mental Health Center, Shanghai, China.
Lili YaoThe First Minzheng Mental Health Center, Shanghai, China.
Li WangThe First Minzheng Mental Health Center, Shanghai, China.
Chengfang ZhangShanghai Pudong New Area Mental Health Center, Tongji University School of Medicine, Shanghai, China.
Liping ZhuDepartment of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Donghong CuiDepartment of General Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University, School of Medicine, Shanghai, China.
Shanghai Mental Health Center · CNShanghai Jiao Tong University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims/hypothesis: It is widely thought that the intestinal microbiota plays a significant role in the pathogenesis of metabolic disorders. However, the gut microbiota composition and characteristics of schizophrenia patients with metabolic syndrome (MetS) have been largely understudied. Herein, we investigated the association between the metabolic status of mainland Chinese schizophrenia patients with MetS and the intestinal microbiome. Methods: Fecal microbiota communities from 115 male schizophrenia patients (57 with MetS and 58 without MetS) were assessed by 16S ribosomal RNA gene sequencing. We assessed the variations of gut microbiome between both groups and explored potential associations between intestinal microbiota and parameters of MetS. In addition, the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) based on the KEGG database was used to predict the function of intestinal microbiota. We also conducted Decision Tree Analysis to develop a diagnostic model for the MetS in patients with schizophrenia based on the composition of intestinal microbiota. Results: The fecal microbial diversity significantly differed between groups with or without MetS (α-diversity (Shannon index and Simpson index): p=0.0155, p=0.0089; β-diversity: p=0.001). Moreover, the microbial composition was significantly different between the two groups, involving five phyla and 38 genera (p<0.05). In addition, a significant correlation was observed between the metabolic-related parameters and abundance of altered microbiota including HDL-c (r2 = 0.203, p=0.0005), GLU (r2 = 0.286, p=0.0005) and WC (r2 = 0.061, p=0.037). Furthermore, KEGG pathway analysis showed that 16 signaling pathways were significantly enriched between the two groups (p<0.05). Importantly, our diagnostic model based on five microorganisms established by decision tree analysis could effectively distinguish between patients with and without MetS (AUC = 0.94). Conclusions/interpretation: Our study established the compositional and functional characteristics of intestinal microbiota in schizophrenia patients with MetS. These new findings provide novel insights into a better understanding of this disease and provide the theoretical basis for implementing new interventional therapies in clinical practice.

Indexed as

Gastrointestinal MicrobiomeMetabolic SyndromeMicrobiotaSchizophreniaHumansPhylogeny16S rRNAdyslipidemiaintestinal microbiotametabolic syndromeschizophreniatype 2 diabetes

Identifiers

PMID37576972
PMCPMC10415044
OpenAlexW4385323255

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.