Evidence map›Paper›PMID 36978107›Full record

ArticleCritical care (London, England)2023

Altered intestinal microbiome and metabolome correspond to the clinical outcome of sepsis.

Silei Sun, Daosheng Wang, Danfeng Dong, Lili Xu, Mengqi Xie, Yihui Wang, Tongtian Ni, Weisong Jiang, Xiaojuan Zhu, Ning Ning and 10 more

Open access · goldFull text read
In one paragraph

Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
13.2field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
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  16. Review
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  18. Article
  19. Article
  20. Article

30 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 1 institution in 1 country.

Silei Sun *Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Daosheng Wang *Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Danfeng DongDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Lili XuDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Mengqi XieDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Yihui WangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Tongtian NiDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Weisong JiangDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Xiaojuan ZhuDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Ning NingDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Qian SunDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Shuyuan ZhaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Mengjiao LiDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Peili ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Meiling YuDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Jian LiClinical Research Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
Erzhen ChenDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China.
Bing ZhaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China. zhaobing124@163.com.
Yibing PengDepartment of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China. pyb9861@sina.com.
Enqiang MaoDepartment of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin ER Road, Shanghai, 200025, China. maoeq@yeah.net.
Shanghai Jiao Tong University · CN

Funding

Clinical Research Project of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine 2018CR004National Natural Science Foundation of China 81971993Shanghai natural science fund 21ZR1440400
6 · The paper itself

Abstract

backgroundThe gut microbiome plays a pivotal role in the progression of sepsis. However, the specific mechanism of gut microbiota and its metabolites involved in the process of sepsis remains elusive, which limits its translational application.

methodIn this study, we used a combination of the microbiome and untargeted metabolomics to analyze stool samples from patients with sepsis enrolled at admission, then microbiota, metabolites, and potential signaling pathways that might play important roles in disease outcome were screened out. Finally, the above results were validated by the microbiome and transcriptomics analysis in an animal model of sepsis.

resultsPatients with sepsis showed destruction of symbiotic flora and elevated abundance of Enterococcus, which were validated in animal experiments. Additionally, patients with a high burden of Bacteroides, especially B. vulgatus, had higher Acute Physiology and Chronic Health Evaluation II scores and longer stays in the intensive care unit. The intestinal transcriptome in CLP rats illustrated that Enterococcus and Bacteroides had divergent profiles of correlation with differentially expressed genes, indicating distinctly different roles for these bacteria in sepsis. Furthermore, patients with sepsis exhibited disturbances in gut amino acid metabolism compared with healthy controls; namely, tryptophan metabolism was tightly related to an altered microbiota and the severity of sepsis.

conclusionAlterations in microbial and metabolic features in the gut corresponded with the progression of sepsis. Our findings may help to predict the clinical outcome of patients in the early stage of sepsis and provide a translational basis for exploring new therapies.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaSepsisAnimalsMetabolomeMetabolomicsRatsRNA, Ribosomal, 16SRNA, Ribosomal, 16SBacteroidesEnterococcusGut metabolitesGut microbiotaSepsisTryptophan metabolism

Identifiers

PMID36978107
PMCPMC10044080
OpenAlexW4361216947

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read32
Read underepoch 390

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.