Evidence map›Paper›PMID 40204742›Full record

ArticleScientific reports2025

Metagenomic analysis of human, animal, and environmental samples identifies potential emerging pathogens, profiles antibiotic resistance genes, and reveals horizontal gene transfer dynamics.

Rajindra Napit, Anupama Gurung, Ajit Poudel, Ashok Chaudhary, Prajwol Manandhar, Ajay Narayan Sharma, Samita Raut, Saman Man Pradhan, Jyotsna Joshi, Mathilde Poyet and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  16. Article
  17. Characterization and pathogenic mechanisms of aFrontiers in microbiology · 2026
    Article
  18. Prevalence of Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2025
    Article
  19. Review
  20. 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

13 authors.

Rajindra Napit *Center for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Anupama Gurung *Center for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Ajit PoudelCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Ashok ChaudharyCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Prajwol ManandharCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Ajay Narayan SharmaCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Samita RautCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Saman Man PradhanCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Jyotsna JoshiCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Mathilde PoyetDept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA.
Mathieu GroussinDept. of Biological Engineering, Massachusetts Institute of Technology, Cambridge, USA.
Rajesh M RajbhandariCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal.
Dibesh B KarmacharyaCenter for Molecular Dynamics Nepal (CMDN), Kathmandu, Nepal. dibesh@cmdn.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a significant threat to global health. The indiscriminate use of antibiotics has accelerated the emergence and spread of drug-resistant bacteria, compromising our ability to treat infectious diseases. A One Health approach is essential to address this urgent issue, recognizing the interconnectedness of human, animal, and environmental health. This study investigated the prevalence and transmission of AMR in a temporary settlement in Kathmandu, Nepal. By employing shotgun metagenomics, we analyzed a diverse range of samples, including human fecal samples, avian fecal samples, and environmental samples. Our analysis revealed a complex interplay of pathogenic bacteria, virulence factors (VF), and antimicrobial resistance genes (ARGs) across these different domains. We identified a diverse range of bacterial species, including potential pathogens, in both human and animal samples. Notably, Prevotella spp. was the dominant gut bacterium in human samples. Additionally, we detected a wide range of phages and viruses, including Stx-2 converting phages, which can contribute to the virulence of Shiga toxin-producing E. coli (STEC) strains. Our analysis revealed the presence of 72 virulence factor genes and 53 ARG subtypes across the studied samples. Poultry samples exhibited the highest number of ARG subtypes, suggesting that the intensive use of antibiotics in poultry production may contribute to the dissemination of AMR. Furthermore, we observed frequent horizontal gene transfer (HGT) events, with gut microbiomes serving as key reservoirs for ARGs. This study underscores the critical role of a One Health approach in addressing AMR. By integrating human, animal, and environmental health perspectives, we can better understand the complex dynamics of AMR and develop effective strategies for prevention and control. Our findings highlight the urgent need for robust surveillance systems, judicious antibiotic use, and improved hygiene practices to mitigate the impact of AMR on public health.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialGene Transfer, HorizontalMetagenomicsAnimalsAnti-Bacterial AgentsBirdsFecesHumansMetagenomeNepalVirulence FactorsAnti-Bacterial AgentsVirulence FactorsAntimicrobial resistanceAntimicrobial resistance genesGut microbiomeHorizontal gene transferOne health

Identifiers

PMID40204742
PMCPMC11982193

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LicenceCC BY-NC-ND
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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.