Evidence map›Paper›PMID 40866420›Full record

ArticleScientific reports2025

Mycobacterium hainanense sp. nov. represents an emerging nontuberculous Mycobacterium associated with chronic pulmonary disease.

Dai Kuang, Feng Liu, Wei Liu, Jieying Li, Shen Tian, Yanshuang Wang, Yeteng Zhong, Huajuan Li, Hua Pei, Huaping Huang and 1 more

Abstract readCase Reports
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. 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

11 authors.

Dai Kuang *NHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, 3 Xueyuan Road, Haikou, 570102, Hainan, China.
Feng Liu *Department of Respiratory Diseases, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China.
Wei Liu *NHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, 3 Xueyuan Road, Haikou, 570102, Hainan, China.
Jieying Li *NHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, 3 Xueyuan Road, Haikou, 570102, Hainan, China.
Shen TianNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, 3 Xueyuan Road, Haikou, 570102, Hainan, China.
Yanshuang WangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Yeteng ZhongDepartment of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Huajuan LiDepartment of Respiratory Diseases, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China.
Hua PeiDepartment of Clinical Laboratory, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Huaping HuangDepartment of Respiratory Diseases, The First Affiliated Hospital of Hainan Medical University, 31 Longhua Road, Haikou, 570102, Hainan, China. huapinghuang153@163.com.ORCID http://orcid.org/0000-0003-1509-4794
Qianfeng XiaNHC Key Laboratory of Tropical Disease Control, School of Life Sciences and Medical Technology, Hainan Medical University, 3 Xueyuan Road, Haikou, 570102, Hainan, China. xiaqianfeng@hainmc.edu.cn.ORCID http://orcid.org/0000-0002-5737-4842

Funding

Hainan Provincial Natural Science Foundation of China 825RC764National Natural Science Foundation of China 82000011National Natural Science Foundation of China 82370018The Innovative Research Project for Graduate Students in Hainan Province Qhys2022-287
6 · The paper itself

Abstract

Nontuberculous mycobacteria (NTM) are increasingly recognized as important opportunistic pathogens, particularly in immunocompromised individuals. We discovered a newly identified NTM, initially misidentified as Mycobacterium paraffinicum, isolated from a 42-year-old female with an eight-year history of persistent pulmonary infection. The pathogen shares high molecular similarities with Mycobacterium paraffinicum, Mycobacterium nebraskense, and Mycobacterium scrofulaceum, exhibiting atypical acid-fast properties and slow growth. Phylogenetic analysis and pairwise comparisons based on digital DNA-DNA hybridization and average nucleotide identity suggest it as a new species, which we propose naming it Mycobacterium hainanense sp. nov.. Significant differences were also observed in the 16 S rRNA, hsp65, rpoB, and sodA gene sequences between Mycobacterium hainanense and closely related mycobacterial species, confirming it as a novel species. Clinical, radiological, and microbiological findings, along with the patient's response to a tailored antibiotic regimen, are analyzed to understand disease progression and evaluate treatment efficacy against this newly identified pathogen. Functional genomic analysis highlighted diverse metabolic pathways, including lipid and carbohydrate metabolism, indicating the strain's ability to adapt to varying nutrient conditions and environmental stress. This study highlights the need for accurate identification of Mycobacterium species and calls for further in-depth research on the pathogenic mechanisms of Mycobacterium hainanense.

Indexed as

Lung DiseasesMycobacterium Infections, NontuberculousNontuberculous MycobacteriaAdultBacterial ProteinsChaperonin 60Chronic DiseaseFemaleHumansPhylogenyRNA, Ribosomal, 16SBacterial ProteinsChaperonin 60RNA, Ribosomal, 16SImmunocompromised individualsNontuberculous mycobacteriaPulmonary infectionTraction bronchiectasis

Identifiers

PMID40866420
PMCPMC12391562

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Registered trials

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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.