Evidence map›Paper›PMID 42389510›Full record

ArticleFrontiers in cellular and infection microbiology2026

Microbial dysbiosis and inferred functional profiling reveals the potential role of

Zainab M Al Shareef, Rula M Al-Shahrabi, Fatemeh Saheb Sharif-Askari, Burcu Yener, Poorna M Bhamidimarri, Amal Bouzid, Iman M Talaat, Riyad Bendardaf, Rifat A Hamoudi, Sambhaji Mote and 2 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zainab M Al ShareefDepartment of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.
Rula M Al-ShahrabiSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Fatemeh Saheb Sharif-AskariSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Burcu YenerSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Poorna M BhamidimarriSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Amal BouzidSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Iman M TalaatSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Riyad BendardafOncology Unit, University Hospital of Sharjah, Sharjah, United Arab Emirates.
Rifat A HamoudiSharjah Institute for Medical Research, University of Sharjah, Sharjah, United Arab Emirates.
Sambhaji MoteBiotechnology Research Centre, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.
Raghvendra MallBiotechnology Research Centre, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.
Filippo CastiglioneBiotechnology Research Centre, Technology Innovation Institute, Abu Dhabi, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Prostate cancer (PCa) is a leading malignancy in men, with a multifactorial aetiology involving genetic, hormonal, and microbial factors. Although emerging evidence implicates tumour-associated microbial communities in cancer biology, microbial signatures in PCa, particularly in Arab populations, remain underexplored. This study aimed to characterize the prostate tissue microbiota in an Arab cohort and explore associations with clinical features. Methods: In this retrospective study, 40 formalin-fixed paraffin-embedded (FFPE) prostate tissue samples (23 PCa and 17 benign prostatic hyperplasia [BPH]) were analysed using 16S rRNA gene sequencing. Microbial diversity, taxonomic composition, and predicted functional potential inferred from 16S data were assessed using DADA2 (v1.30.0), phyllode (v1.46.0), and PICRUSt2 (v2.5.2), with taxonomic classification based on the SILVA database (release 138). Beta diversity differences were tested using PERMANOVA (999 permutations), and differential abundance analyses were corrected using false discovery rate (FDR). Key findings and limitations: PCa tissues demonstrated higher alpha diversity than BPH samples, with greater heterogeneity in beta diversity. Among the identified genera, Conclusions: This exploratory study identified

Indexed as

DysbiosisMethylobacteriumProstatic NeoplasmsHumansMaleMicrobiotaProstateRetrospective StudiesRNA, Ribosomal, 16SRNA, Ribosomal, 16SGleasonmetagenomicsmethylobacteriumprostate cancerUAE

Identifiers

PMID42389510
PMCPMC13318943

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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.