Evidence map›Paper›PMID 41331687›Full record

ArticleGenomics & informatics2025

Metagenomic insights into microbial community alterations and co-occurrence networks in infective endocarditis.

Zahra Abedi, Mohammad Ali Sheikh Beig Goharrizi, Amirreza Abbasi, Negar Sadat Soleimani Zakeri, Helia Jangi

Abstract read
In one paragraph

Article in Genomics & informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Zahra AbediDina Pharmed Exir Salamat, Pharmaceutical Co., Tehran, 574768, Iran. abedizahra59@yahoo.com.ORCID http://orcid.org/0000-0002-6750-0208
Mohammad Ali Sheikh Beig GoharriziDepartment of Medical Biotechnology, School of Biotechnology, College of Science, University of Tehran, Tehran, Iran. msheikhbeig@ut.ac.ir.ORCID http://orcid.org/0000-0001-7280-6175
Amirreza AbbasiDepartment of Health Science, University of Eastern Piedmont, Novara, Italy.ORCID http://orcid.org/0000-0001-5437-679X
Negar Sadat Soleimani ZakeriDepartment of Software Engineering, Engineering and Architecture Faculty, Istanbul Nişantaşi University, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-3343-9904
Helia JangiDepartment of Science and Technological Innovation, University of Eastern Piedmont, Novara, Italy.ORCID http://orcid.org/0009-0007-8782-6989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfective endocarditis (IE) is a serious infection of the heart valves, and standard culture methods often miss the bacteria responsible, especially in culture-negative cases. To address this, we used 16S rRNA gene-based next-generation sequencing (NGS) on heart valve tissue. This approach allowed us to map out the bacterial communities present and evaluate their potential role in IE.

resultWe identified six key bacterial genera-Enterococcus, Streptococcus, Coxiella, Staphylococcus, Haemophilus, and Cutibacterium-plus three specific species: Streptococcus troglodytae, Haemophilus parainfluenzae, and Coxiella burnetii. Our co-occurrence analysis showed that these bacteria tend to exist independently within infected valve tissue, with no significant correlations between them.

conclusionWe detected bacterial taxa, including Cutibacterium and Streptococcus troglodytae. Although S. troglodytae is rarely associated with IE, and Cutibacterium comprises low-abundance bacteria not typically linked to this condition. These findings demonstrate the value of NGS in identifying pathogens that standard culture methods may overlook. As these results are based on computational analyses, further laboratory validation is required. Incorporating NGS into diagnostic protocols may enhance pathogen detection in culture-negative IE and support more targeted treatment and prevention strategies.

Indexed as

16S rRNAComputational analysesInfective endocarditisMetagenomeMicrobiome

Identifiers

PMID41331687
PMCPMC12670860

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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.