Evidence map›Paper›PMID 34527598›Full record

ArticleFrontiers in cellular and infection microbiology2021

Analysis of Porcine Model of Fecal-Induced Peritonitis Reveals the Tropism of Blood Microbiome.

Hwi Hyun, Min Seok Lee, Inwon Park, Hwa Soo Ko, Seongmin Yun, Dong-Hyun Jang, Seonghye Kim, Hajin Kim, Joo H Kang, Jae Hyuk Lee and 1 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
  6. Article
  7. Review
  8. International journal of molecular sciences · 2023
    Article
  9. 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

11 authors.

Hwi HyunDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Min Seok LeeDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Inwon ParkDepartment of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Hwa Soo KoDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Seongmin YunDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Dong-Hyun JangDepartment of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Seonghye KimDepartment of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Hajin KimDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Joo H KangDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Jae Hyuk LeeDepartment of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam-si, South Korea.
Taejoon KwonDepartment of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have suggested the existence of a blood microbiome in the healthy host. However, changes in the blood microbiome upon bloodstream infection are not known. Here, we analyzed the dynamics of the blood microbiome in a porcine model of polymicrobial bacteremia induced by fecal peritonitis. Surprisingly, we detected bacterial populations in the bloodstream even before the infection, and these populations were maintained over time. The native blood microbiome was notably taxonomically different from the fecal microbiome that was used to induce peritonitis, reflecting microbial tropism for the blood. Although the population composition after the infection was similar to that of the native blood microbiome, new bacterial strains entered the bloodstream upon peritonitis induction as clinical symptoms relevant to sepsis developed. This indicates that the bacteria detected in the blood before peritonitis induction were derived from the blood rather than a contamination. Comparison of the functional pathways enriched in the blood and fecal microbiomes revealed that communication and stress management pathways are essential for the survival of the blood microbiome.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaPeritonitisAnimalsFecesSwineTropismblood microbiomebloodstream infection (BSI)dysbiosisperitonitisporcine (pig) model

Identifiers

PMID34527598
PMCPMC8435847

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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.