ReviewJournal of clinical tuberculosis and other mycobacterial diseases2022
Sex, ancestry, senescence, and aging (SAnSA) are stark drivers of nontuberculous mycobacterial pulmonary disease.
Review in Journal of clinical tuberculosis and other mycobacterial diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
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.
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Who cites it
10 citing papers in PubMed, 11 citations in OpenAlex.
- Clinical characteristics, antimicrobial susceptibility patterns, and treatment outcomes of nontuberculous mycobacterial diseases in eastern China: a retrospective cohort study (2019-2022).Microbiology spectrum · 2026Article
- K-Means Cluster Identification of Nutritional Phenotypes in Patients with Nontuberculous Mycobacterial Pulmonary Disease and Correlation Analysis with Runyon Classification.Infection and drug resistance · 2026Article
- Development and internal validation of a LASSO-based clinical prediction model for nontuberculous mycobacterial pulmonary disease versus pulmonary tuberculosis.Frontiers in medicine · 2026Article
- Development and validation of a clinical risk score nomogram for distinguishing nontuberculous mycobacteria from Mycobacterium tuberculosis pulmonary disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- Relationship between age, sex, geography and incidence of nontuberculous mycobacteria in Denmark from 1991 to 2022.ERJ open research · 2025Article
- Deletion of ESX-3 and ESX-4 secretion systems in Mycobacterium abscessus results in highly impaired pathogenicity.Communications biology · 2025Article
- Phenotypical characteristics of nontuberculous mycobacterial infection in patients with bronchiectasis.Respiratory research · 2024Observational
- Article
- CPMAS NMR platform for direct compositional analysis of mycobacterial cell-wall complexes and whole cells.Journal of magnetic resonance open · 2023Article
- Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Nontuberculous mycobacterial (NTM) pulmonary disease (PD) disproportionately affects otherwise healthy, older, Caucasian females. The reasons behind this are likely multifactorial involving several conspiring factors. A variety of factors are thought to contribute to increased susceptibility to NTM in the older adult including exposure to various environmental conditions and contaminants across the lifespan, genetic risk factors, hormonal changes, and immunodeficiency. Independent of sex and ancestry, respiratory muscle atrophy intensifies with age and an aging immune system can show functional decline of macrophages, poor lung migration and homing of dendritic cells, promotion of aberrant pro-inflammatory responses, acceleration of inflammation related to aging, and increased immunosenescence. The purpose of this review is to synthesize the current body of knowledge regarding the roles of sex, ancestry, senescence, and aging (SAnSA) in NTM acquisition and the possible mechanisms involved in NTM PD, highlighting age-related respiratory and immune system changes. We also summarize molecular tools and biomarkers of these fields and contextualize these into the study of NTM PD. Finally, we discuss the relevance of biomarkers described for senescence and aging and senolytic therapies as potentially new adjunctive strategies to reduce the burden of NTM PD.
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Registered trials
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.