Evidence map›Paper›PMID 42327525›Full record

ReviewInfectious diseases & clinical microbiology2026

Zoonotic Nontuberculous Mycobacteria: Transmission Pathways, Laboratory Diagnosis, Detection Methodologies, and One Health Priorities.

Hindol Maity, Keshao Hiwale, Supriya Meshram, Madhu Shishodiya, Deepashri Pratyeke Maraskolhe, Pratibha Narang

Abstract readReview
In one paragraph

Review in Infectious diseases & clinical 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

6 authors.

Hindol MaityDepartment of Microbiology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0001-6598-4010
Keshao HiwaleDepartment of Pathology, Datta Meghe Institute of Higher Education and Research, Sawangi, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0002-2606-7786
Supriya MeshramDepartment of Microbiology, Datta Meghe Institute of Higher Education and Research, Sawangi, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0002-4540-3722
Madhu ShishodiyaDepartment of Obstetrics and Gynecology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.ORCID https://orcid.org/0009-0001-2211-8830
Deepashri Pratyeke MaraskolheDepartment of Microbiology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0001-5649-2575
Pratibha NarangDepartment of Microbiology, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Wardha, Maharashtra, India.ORCID https://orcid.org/0000-0001-6135-1857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nontuberculous mycobacteria (NTM) are an ecologically diverse group of environmental mycobacteria that are increasingly recognized as an important cause of human and animal disease. While most infections arise from environmental exposure, evidence from outbreak reports and genomic epidemiology suggests animal- associated and device-associated transmission pathways that intersect with human occupational and clinical risk. This review synthesizes current knowledge on zoonotic and animal-associated NTM, including recent taxonomy updates driven by genomic approaches, major reservoirs (including aquaculture, livestock, wildlife, and engineered water systems), as well as clinical and veterinary manifestations, and operational laboratory approaches for detection and characterization. We present a tiered diagnostic framework, ranging from microscopy and culture to targeted polymerase chain reaction (PCR), whole-genome sequencing, and emerging metagenomic and artificial intelligence (AI)-based pipelines, and we discuss biosafety considerations, reporting standards, and One Health surveillance priorities. Key research gaps include distinguishing true animal-to-human transmission from shared-source exposure, harmonizing One Health metadata and antimicrobial resistance (AMR) surveillance, and validating climate-sensitive predictive models. We propose practical, resource-adaptive recommendations for surveillance, laboratory workflows, and outbreak response. A coordinated global investment in integrated One Health genomic surveillance, harmonized metadata standards, and capacity building is urgently required to detect, attribute, and mitigate zoonotic NTM threats.

Indexed as

antimicrobial resistancemolecular diagnosticsNontuberculous mycobacteriaOne Healthwhole-genome sequencingzoonosis

Identifiers

PMID42327525
PMCPMC13277607

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.