Evidence map›Paper›PMID 41725012›Full record

ArticleGut pathogens2026

Metagenomic analysis of the human gut virome reveals functional signatures and viral stability across hospitalized and non-hospitalized diarrheal and non-diarrheal individuals.

Angie L Ramírez, Luisa Páez, Laura Vega, Viviana Aya, Carolina Hernández, Nicolas Luna, Marina Muñoz, Luz Helena Patiño, Juan David Ramírez

Abstract read
In one paragraph

Article in Gut pathogens, 2026. 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

9 authors.

Angie L RamírezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Luisa PáezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Laura VegaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Viviana AyaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Carolina HernándezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Nicolas LunaCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Marina MuñozInstituto de Biotecnología, Universidad Nacional de Colombia, Bogotá, Colombia.
Luz Helena PatiñoCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia.
Juan David RamírezCentro de Investigaciones en Microbiología y Biotecnología-UR (CIMBIUR), School of Sciences and Engineering, Universidad del Rosario, Bogotá, Colombia. juand.ramirez@urosario.edu.co.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe human gut virome is a fundamental yet understudied component of the intestinal microbiome. However, its taxonomic composition and functional potential in Latin American populations remain poorly understood, particularly under clinical stressors such as hospitalization and diarrhea conditions often linked to microbial dysbiosis.

methodsWe conducted a hybrid metagenomic analysis of the human gut virome from 37 fecal samples: 10 from patients admitted to intensive care units (ICU), 13 from hospitalized patients outside the ICU (Non-ICU), and 14 from non-diarrheic individuals, including taxonomic and functional profiling of viruses and detection of viral auxiliary metabolic genes (vAMGs).

resultsWe identified 494 high-quality viral vOTUs, from which 37,619 ORFs were predicted. Taxonomically, Caudoviricetes and Intestiviridae were consistently present across all groups, supporting their role as part of a conserved core virome. Functionally, we identified 309 putative vAMGs spanning 90 functional categories, primarily related to metabolism and environmental information processing. Non-diarrheic individuals harbored a higher number and diversity of vAMGs compared to hospitalized groups (Kruskal-Wallis, p < 0.01), whereas ICU and Non-ICU patients showed reduced and more variable functional profiles. Beta diversity analysis revealed that diarrhea status, rather than hospitalization per se, was associated with modest but significant shifts in functional composition (PERMANOVA, R² = 0.047, p = 0.025), driven by quantitative changes in shared AMGs rather than the presence of unique functions. Notably, resistance-related vAMGs, including bacitracin transporters and Zinc D-Ala-D-Ala carboxypeptidase, were detected across samples, highlighting the potential of phages as mobile reservoirs of antibiotic resistance.

conclusionTogether, our findings indicate that hospitalization and diarrhea do not markedly alter the taxonomic structure of the gut virome but are associated with modest shifts in viral functional potential. The maintenance of a stable viral community alongside variable AMG repertoires suggests that phages may modulate host-microbiome interactions primarily through functional fine-tuning rather than large-scale community restructuring. Our study provides evidence for the ecological resilience of the human gut virome and underscores the need to integrate viral communities into resistome research.

Indexed as

DiarrheaHospitalizationMetagenomicsViral auxiliary metabolic genesVirome

Identifiers

PMID41725012
PMCPMC12927239

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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.