ArticlePeerJ2025
The bacterial composition signatures of perianal abscess and origin of infecting microbes.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Fear of disease progression among caregivers of outpatient children with perianal abscess: a cross-sectional survey.BMC pediatrics · 2026Article
- Pathogenic characteristics and factors associated with multidrug-resistant bacterial infections after perianal abscess surgery.Frontiers in surgery · 2026Article
- Microbial profile and putative microbial origin of anorectal abscess based on 16S rDNA sequencing.Frontiers in cellular and infection microbiology · 2025Article
- The Association Between Diabetes Mellitus and Perianal Abscess: A Meta-Analysis.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Review
- Postoperative recurrence prediction model for perianal abscess using machine learning algorithms.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Perianal abscess is a common anal condition primarily caused by bacterial infections, yet the precise origins of these infecting bacteria remain unclear. Understanding the distinct microbial signatures associated with periaabscesses is crucial for provide fresh ideas for disease prevention. Materials and Methods: Samples of anal skin, feces, and abscesses were collected from a cohort of 75 patients diagnosed with perianal abscesses. The microbial composition at each site was analyzed using 16S rRNA gene sequencing to characterize the bacterial communities present. Results: Analysis using MaAslin2 revealed distinct bacterial compositional signatures among the anal skin, feces, and abscess samples. Alpha diversity analysis indicated significant differences in bacterial diversity between abscesses, anal skin, and feces, with abscesses showing lower diversity compared to higher richness in feces. Biomarker analysis highlighted key taxa such as
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