Evidence map›Paper›PMID 42746048›Full record

ReviewFrontiers in microbiology2026

Microbial diversity, antimicrobial resistance and zoonotic implications of the reptile gut microbiota: an updated review.

Dexu Kong, Yanhui Zhang, Zheng Li, Lingling Chen, Jiaqi Nie, Xiao Jiang, Henan Cao, Yao Ma

Abstract readReview
In one paragraph

Review in Frontiers in 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.

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

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

8 authors.

Dexu KongSchool of Basic Medicine, Qingdao University, Qingdao, Shandong, China.
Yanhui ZhangQingdao Women and Children's Hospital, Qingdao University, Qingdao, China.
Zheng LiInstitute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Lingling ChenSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Jiaqi NieSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Xiao JiangSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Henan CaoSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Yao MaQingdao Women and Children's Hospital, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reptilian gastrointestinal tract harbors a complex and dynamic ecosystem of microorganisms that plays a fundamental and multifaceted role in host nutrition, immune function, and overall physiological homeostasis. This gut microbiome exhibited remarkable phylogenetic and functional diversity, intricately shaped by a confluence of host evolutionary history, dietary strategy, environmental context, captive status, and life history traits. Beyond its critical importance for reptilian health and fitness, this internal microbial reservoir is of significant and growing concern from a public health perspective, serving as a major source of zoonotic pathogens, most notably non-typhoidal Salmonella, and as a critical and underexplored hotspot for the emergence, amplification, and dissemination of antimicrobial resistance genes (ARGs), a dimension that forms the central theme of this review and is systematically examined across host ecology, captive management, and the global pet trade continuum. This comprehensive review synthesizes contemporary research on the gut microbiota across key reptilian taxa, including popular companion species such as lizards such as

Indexed as

antimicrobial resistancecompanion animalgut microbiotareptilezoonosis

Identifiers

PMID42746048
PMCPMC13575676

What OpenQuestion holds

Textmetadata
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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.