The lung microbiota in Korean patients with non-tuberculous mycobacterial pulmonary disease

Kang, Sung Yoon; Kim, Hyojung; Jung, Sungwon; Lee, Sang Min; Lee, Sang Pyo

doi:10.1186/s12866-021-02141-1

Cited by 7 publications

(5 citation statements)

References 47 publications

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“…In previous studies, the microbiota diversity in respiratory samples from patients with NTM-PD was significantly lower than that in samples from healthy subjects, which is consistent with our findings [ 6 , 7 , 26 ]. In addition, our study showed that the lung microbiota composition differs between patients with NTM-PD classified according to BMI.…”

Section: Discussionsupporting

confidence: 93%

“…However, studies on lower airway microbiota in NTM-PD frequently identified Pseudomonas , Rhadococcus , and Actinomycetales . These bacteria are known to co-infect with NTM-PD [ 26 , 27 ]. Strikingly, the abundance of Haemophilus , Neisseria , and Burkholderiales was higher in patients with NTM-PD with a low BMI than that in patients with NTM-PD with a standard or high BMI, indicating that the BMI can be considered a factor influencing the microbial communities associated with and pathogenesis of NTM infection.…”

Section: Discussionmentioning

confidence: 99%

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Alterations in lung and gut microbiota reduce diversity in patients with nontuberculous mycobacterial pulmonary disease

Choi,

Shim,

Park

et al. 2023

Korean J Intern Med

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Background/Aims: Although the incidence of nontuberculous mycobacteria pulmonary disease (NTM-PD), a chronic infectious disease, is increasing, lung and gut microbiota dysbiosis in NTM patients has rarely been studied and was therefore the focus of this study.Methods: We analyzed the microbiota diversity in sputum and stool samples from 10 healthy subjects and 10 patients with NTM-PD through sequencing of the V3 and V4 regions of the 16S rRNA gene. In NTM-PD patients, we comparatively evaluated the microbiota diversity according to the body mass index (BMI), with BMI ≤ 18.5 kg/m<sup>2</sup> defined as “underweight” and BMI > 18.5 kg/m<sup>2</sup> as “others.”Results: The sputum microbiota from NTM-PD patients tended to have lower index values of amplicon sequence variant richness, Shannon evenness, and beta diversity than those from the control group. Furthermore, NTM-PD patients with a low BMI had a lower microbiota diversity than patients with high BMI. Fecal samples from NTM-PD patients also significantly differed in alpha and beta diversity compared with the control group and exhibited a diversity pattern similar to that found in sputum samples.Conclusions: Our results reveal that the lung and gut microbiota of patients with NTM-PD exhibit an altered distribution and reduced richness and diversity.

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Alterations in lung and gut microbiota reduce diversity in patients with nontuberculous mycobacterial pulmonary disease

Choi,

Shim,

Park

et al. 2023

Korean J Intern Med

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“…In contrast to these studies, in our study, Acinetobacter was more abundant at non-involved sites of lung tissues, suggesting that the abundance of Acinetobacter decreased with invasion of the lung by various other bacteria, including NTM, possibly due to a competitive relationship with other bacteria. Only one South Korean study has reported that Enhydrobacter abundance is decreased in bronchial washing fluid from NTM-PD patients, but they did not find significant clinical implications [16]. Further studies are required to evaluate whether Acinetobacter plays a role in the pathogenesis of NTM-PD, whether it exhibits antagonism against NTM, and how it affects the host's innate immune system.…”

Section: Plos Onementioning

confidence: 99%

“…To explain the heterogeneity of the disease course or pathogenesis of NTM-PD, microbiome studies have been performed using various respiratory samples (e.g., alveolar fluid, oral washings, and sputum), and they have suggested the involvement of several dominant bacterial taxa [13][14][15][16]. However, these studies had some limitations, such as between-study discrepancies, possible sample contamination, insufficient sample sizes, or difficulties in the selection of controls.…”

Section: Introductionmentioning

confidence: 99%

The lung microbiota in nontuberculous mycobacterial pulmonary disease

et al. 2023

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Background The role of bacterial microbiota in the pathogenesis of nontuberculous mycobacterial pulmonary disease (NTM-PD) is unclear. We aimed to compare the bacterial microbiome of disease-invaded lesions and non-invaded lung tissue from NTM-PD patients. Methods We analyzed lung tissues from 23 NTM-PD patients who underwent surgical lung resection. Lung tissues were collected in pairs from each patient, with one sample from a disease-involved site and the other from a non-involved site. Lung tissue microbiome libraries were constructed using 16S rRNA gene sequences (V3–V4 regions). Results Sixteen (70%) patients had Mycobacterium avium complex (MAC)-PD, and the remaining seven (30%) had Mycobacterium abscessus-PD. Compared to non-involved sites, involved sites showed greater species richness (ACE, Chao1, and Jackknife analyses, all p = 0.001); greater diversity on the Shannon index (p = 0.007); and genus-level differences (Jensen-Shannon, PERMANOVA p = 0.001). Analysis of taxonomic biomarkers using linear discriminant analysis (LDA) effect sizes (LEfSe) demonstrated that several genera, including Limnohabitans, Rahnella, Lachnospira, Flavobacterium, Megamonas, Gaiella, Subdoligranulum, Rheinheimera, Dorea, Collinsella, and Phascolarctobacterium, had significantly greater abundance in involved sites (LDA >3.00, p <0.05, and q <0.05). In contrast, Acinetobacter had significantly greater abundance at non-involved sites (LDA = 4.27, p<0.001, and q = 0.002). Several genera were differentially distributed between lung tissues from MAC-PD (n = 16) and M. abscessus-PD (n = 7), and between nodular bronchiectatic form (n = 12) and fibrocavitary form (n = 11) patients. However, there was no genus with a significant q-value. Conclusions We identified differential microbial distributions between disease-invaded and normal lung tissues from NTM-PD patients, and microbial diversity was significantly higher in disease-invaded tissues. Trial registration Clinical Trial registration number: NCT00970801.

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“…In a microbiome study of oral washes, induced sputum, and bronchoalveolar lavage samples, Mycobacterium was identified in 27% of NTM positive samples tested along with other common oral commensals [59] . In a Korean cohort, lower microbial richness was observed among 11 NTM PD patients and 10 controls over the age of 57 years using bronchial washings [60] . Additional information about the lung microbiome of older adults are sure to come in the future and may reveal novel prognostic indicators of lung health status to forecast the likelihood of individuals developing NTM PD.…”

Section: Introductionmentioning

confidence: 91%

Sex, ancestry, senescence, and aging (SAnSA) are stark drivers of nontuberculous mycobacterial pulmonary disease

Fifor

Honda

2022

Journal of Clinical Tuberculosis and Other Mycobacterial Diseas

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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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The lung microbiota in Korean patients with non-tuberculous mycobacterial pulmonary disease

Cited by 7 publications

References 47 publications

Alterations in lung and gut microbiota reduce diversity in patients with nontuberculous mycobacterial pulmonary disease

Alterations in lung and gut microbiota reduce diversity in patients with nontuberculous mycobacterial pulmonary disease

The lung microbiota in nontuberculous mycobacterial pulmonary disease

Sex, ancestry, senescence, and aging (SAnSA) are stark drivers of nontuberculous mycobacterial pulmonary disease

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