Evidence map›Paper›PMID 39127664›Full record

ArticleRespiratory research2024

Distinct enterotypes and dysbiosis: unraveling gut microbiota in pulmonary and critical care medicine inpatients.

Naijian Li, Guiyan Tan, Zhiling Xie, Weixin Chen, Zhaowei Yang, Zhang Wang, Sha Liu, Mengzhang He

Abstract readMulticenter Study
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

8 authors.

Naijian Li *Department of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Guiyan Tan *Department of Respiratory and Critical Care Medicine, The First People's Hospital of Foshan, Foshan, People's Republic of China.
Zhiling Xie *Department of Pulmonary and Critical Care Medicine, Zhongshan City People's Hospital, Zhongshan, People's Republic of China.
Weixin ChenDepartment of Chinese and Western Medicine in Clinical Medicine, The Clinical School of Chinese and Western Medicine, Guangzhou Medical University, Guangzhou, People's Republic of China.
Zhaowei YangDepartment of Allergy and Clinical Immunology, State Key Laboratory of Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China.
Zhang WangBiomedical Research Center, Institute of Ecological Sciences, School of Life Sciences, State Key Laboratory of Respiratory Disease, South China Normal University, Guangzhou, People's Republic of China.
Sha LiuDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, People's Republic of China. 2018020001@usc.edu.cn.
Mengzhang HeDepartment of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, People's Republic of China. he01ng@163.com.

Funding

the Foundation of the National Key Laboratory of Respiratory Diseases SKLRD-Z-202308the General Financial Support Project of Hunan Provincial Health Commission 20231107the Science and Technology Program of Guangzhou 202201020434
6 · The paper itself

Abstract

backgroundThe gut-lung axis, pivotal for respiratory health, is inadequately explored in pulmonary and critical care medicine (PCCM) inpatients.

methodsExamining PCCM inpatients from three medical university-affiliated hospitals, we conducted 16S ribosomal RNA sequencing on stool samples (inpatients, n = 374; healthy controls, n = 105). We conducted statistical analyses to examine the gut microbiota composition in PCCM inpatients, comparing it to that of healthy controls. Additionally, we explored the associations between gut microbiota composition and various clinical factors, including age, white blood cell count, neutrophil count, platelet count, albumin level, hemoglobin level, length of hospital stay, and medical costs.

resultsPCCM inpatients exhibited lower gut microbiota diversity than healthy controls. Principal Coordinates Analysis revealed marked overall microbiota structure differences. Four enterotypes, including the exclusive Enterococcaceae enterotype in inpatients, were identified. Although no distinctions were found at the phylum level, 15 bacterial families exhibited varying abundances. Specifically, the inpatient population from PCCM showed a significantly higher abundance of Enterococcaceae, Lactobacillaceae, Erysipelatoclostridiaceae, Clostridiaceae, and Tannerellaceae. Using random forest analyses, we calculated the areas under the receiver operating characteristic curves (AUCs) to be 0.75 (95% CIs 0.69-0.80) for distinguishing healthy individuals from inpatients. The four most abundant genera retained in the classifier were Blautia, Subdoligranulum, Enterococcus, and Klebsiella.

conclusionsEvidence of gut microbiota dysbiosis in PCCM inpatients underscores the gut-lung axis's significance, promising further avenues in respiratory health research.

Indexed as

DysbiosisGastrointestinal MicrobiomeAdultAgedCritical CareFecesFemaleHumansInpatientsMaleMiddle AgedDysbiosisEnterotypesGut-lung axisGut microbiotaInpatients

Identifiers

PMID39127664
PMCPMC11316369

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Registered trials

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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 OpenQuestion graph.