Evidence map›Paper›PMID 40284963›Full record

ArticleViruses2025

Relationship Between Gut Microbiota and the Clinical Course of COVID-19 Disease.

Antonija Jonjić, Ivan Dolanc, Goran Slivšek, Luka Bočkor, Marko Tarle, Sanda Mustapić, Marta Kmet, Biserka Orehovec, Paola Kučan Brlić, Maja Cokarić Brdovčak and 10 more

Abstract read
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

20 authors.

Antonija JonjićInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Ivan DolancInstitute for Anthropological Research, 10000 Zagreb, Croatia.ORCID 0000-0001-6452-8080
Goran SlivšekInstitute for Anthropological Research, 10000 Zagreb, Croatia.ORCID 0000-0002-7978-739X
Luka BočkorInstitute for Anthropological Research, 10000 Zagreb, Croatia.ORCID 0000-0002-2096-0944
Marko TarleDubrava University Hospital, 10000 Zagreb, Croatia.ORCID 0000-0002-4173-1278
Sanda MustapićDubrava University Hospital, 10000 Zagreb, Croatia.
Marta KmetDubrava University Hospital, 10000 Zagreb, Croatia.
Biserka OrehovecDubrava University Hospital, 10000 Zagreb, Croatia.
Paola Kučan BrlićFaculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-9178-9128
Maja Cokarić BrdovčakFaculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-9335-8700
Ante ObadUniversity Department of Health Studies, University of Split, 21000 Split, Croatia.ORCID 0000-0002-0377-4621
Martin WalentaInstitute of Chemistry, Analytical Chemistry, University of Graz, 8010 Graz, Austria.
Ivan DražićFaculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.ORCID 0000-0002-1463-996X
Lidija Bilić-ZulleFaculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.
Ivica LukšićDubrava University Hospital, 10000 Zagreb, Croatia.ORCID 0000-0002-9138-2037
Neven BulićFaculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia.
Walter GoesslerInstitute of Chemistry, Analytical Chemistry, University of Graz, 8010 Graz, Austria.ORCID 0000-0002-0142-9373
Stipan JonjićFaculty of Medicine, University of Rijeka, 51000 Rijeka, Croatia.
Miran ČokloInstitute for Anthropological Research, 10000 Zagreb, Croatia.
Jurica ŽučkoFaculty of Food Technology and Biotechnology, University of Zagreb, 10000 Zagreb, Croatia.

Funding

Institute for Anthropological Research N/AUniversity Hospital Dubrava N/A
6 · The paper itself

Abstract

Possible early detection of people at increased risk for severe COVID-19 clinical course is extremely important so that appropriate therapy can be initiated promptly to prevent numerous deaths. Our study included 45 patients treated for COVID-19 at Dubrava University Hospital, with clinical course analysed from medical records and stool samples collected for determination of the gut microbiota diversity using 16S rRNA analysis. Sequencing was successful for 41 samples belonging to four clinical course groups (WHO guidelines): 12 samples-critical, 12-severe, 9-moderate and 8-mild group. Microbial composition was assessed between groups using two approaches-ANCOM (QIIME2) and Kruskal-Wallis (MicrobiomeAnalyst). On the genus level, two taxa were found to be differentially abundant: archaeal Halococcus and Coprococcus (for both W = 37)-the two were most abundant in the critical group (10% and 0.94% of entire abundance, respectively). Coprococcus catus was the only species identified by both methods to be differentially abundant between groups and was most abundant in the critical group. Alpha diversity indicated greater evenness of features in the critical group. Beta diversity showed clustering of samples from the critical group. A relationship between gut microbiota composition and the clinical course of COVID-19 disease was indicated, pointing towards specific distinct features of the critical group. In a broader sense, our findings might be useful in combating potential future similar pandemics and emerging virus outbreaks.

Indexed as

COVID-19Gastrointestinal MicrobiomeAdultAgedAged, 80 and overBacteriaFecesFemaleHumansMaleMiddle AgedPhylogenyRNA, Ribosomal, 16SSARS-CoV-2RNA, Ribosomal, 16S16S rRNA analysisclinical courseCOVID-19gut microbiotaSARS-CoV-2

Identifiers

PMID40284963
PMCPMC12031135

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.