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

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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/m2 defined as “underweight” and BMI > 18.5 kg/m2 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.

Abstract

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/m2 defined as “underweight” and BMI > 18.5 kg/m2 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.

참고문헌 (39)

  1. Cassidy PM, "Nontuberculous mycobacterial disease prevalence and risk factors : a changing epidemiology", Clin Infect Dis, 49, pp.e124~e129 (2009)
  2. Saleeb P, "Pulmonary nontuberculous mycobacterial disease : new insights into risk factors for susceptibility, epidemiology, and approaches to management in immunocompetent and immunocompromised patients", Curr Infect Dis Rep, 12, pp.198~203 (2010)
  3. Honda JR, "Acquired and genetic host susceptibility factors and microbial pathogenic factors that predispose to nontuberculous mycobacterial infections", Curr Opin Immunol, 54, pp.66~73 (2018)
  4. Henkle E, "Nontuberculous mycobacteria infections in immunosuppressed hosts", Clin Chest Med, 36, pp.91~99 (2015)
  5. Lederberg J, "‘Ome sweet ‘omics-a genealogical treasury of words. Genealogical treasury of words", Scientist, 15, pp.8~ (2001)
  6. Sulaiman I, "Evaluation of the airway microbiome in nontuberculous mycobacteria disease", Eur Respir J, 52, pp.1800810~ (2018)
  7. Philley JV, "Microbiome diversity in sputum of nontuberculous mycobacteria infected women with a history of breast cancer", Cell Physiol Biochem, 52, pp.263~279 (2019)
  8. Yamasaki K, "Possible role of anaerobes in the pathogenesis of nontuberculous mycobacterial infection", Respirology, 20, pp.758~765 (2015)
  9. Trompette A, "Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis", Nat Med, 20, pp.159~166 (2014)
  10. Shukla SD, "Microbiome effects on immunity, health and disease in the lung", Clin Transl Immunology, 6, pp.e133~ (2017)
  11. Sze MA, "Changes in the bacterial microbiota in gut, blood, and lungs following acute LPS instillation into mice lungs", PLoS One, 9, pp.e111228~ (2014)
  12. Hufnagl K, "Dysbiosis of the gut and lung microbiome has a role in asthma", Semin Immunopathol, 42, pp.75~93 (2020)
  13. Vernocchi P, "Gut microbiota signatures in cystic fibrosis : loss of host CFTR function drives the microbiota enterophenotype", PLoS One, 13, pp.e0208171~ (2018)
  14. Mortaz E, "Anti-inflammatory effects of lactobacillus rahmnosus and bifidobacterium breve on cigarette smoke activated human macrophages", PLoS One, 10, pp.e0136455~ (2015)
  15. Frankenfeld CL, "Obesity prevalence in relation to gut microbial environments capable of producing equol or O-desmethylangolensin from the isoflavone daidzein", Eur J Clin Nutr, 68, pp.526~530 (2014)
  16. Nakatsu CH, "Fecal bacterial community changes associated with isoflavone metabolites in postmenopausal women after soy bar consumption", PLoS One, 9, pp.e108924~ (2014)
  17. Song JH, "Impact of body mass index on development of nontuberculous mycobacterial pulmonary disease", Eur Respir J, 57, pp.2000454~ (2021)
  18. Hama M, "Health-related quality of life in patients with pulmonary non-tuberculous mycobacteria infection", Int J Tuberc Lung Dis, 20, pp.747~752 (2016)
  19. Martin M, "Cutadapt removes adapter sequences from high-throughput sequencing reads", EMBnet.journal, 17, pp.10~12 (2011)
  20. Callahan BJ, "DADA2 : high-resolution sample inference from Illumina amplicon data", Nat Methods, 13, pp.581~583 (2016)
  21. Caporaso JG, "QIIME allows analysis of high-throughput community sequencing data", Nat Methods, 7, pp.335~336 (2010)
  22. Camacho C, "BLAST+ : architecture and applications", BMC Bioinformatics, 10, pp.421~ (2009)
  23. Katoh K, "Parallelization of the MAFFT multiple sequence alignment program", Bioinformatics, 26, pp.1899~1900 (2010)
  24. Price MN, "FastTree 2--approximately maximum-likelihood trees for large alignments", PLoS One, 5, pp.e9490~ (2010)
  25. Segata N, "Metagenomic biomarker discovery and explanation", Genome Biol, 12, pp.R60~ (2011)
  26. Kang SY, "The lung microbiota in Korean patients with non-tuberculous mycobacterial pulmonary disease", BMC Microbiol, 21, pp.84~ (2021)
  27. Abidin NZ, "Trends in nontuberculous mycobacteria infection in children and young people with cystic fibrosis", J Cyst Fibros, 20, pp.737~741 (2021)
  28. Castaner O, "The gut microbiome profile in obesity : a systematic review", Int J Endocrinol, 2018, pp.4095789~ (2018)
  29. Kasai C, "Comparison of the gut microbiota composition between obese and non-obese individuals in a Japanese population, as analyzed by terminal restriction fragment length polymorphism and next-generation sequencing", BMC Gastroenterol, 15, pp.100~ (2015)
  30. Million M, "Obesity-associated gut microbiota is enriched in Lactobacillus reuteri and depleted in Bifidobacterium animalis and Methanobrevibacter smithii", Int J Obes(Lond), 36, pp.817~825 (2012)
  31. Ley RE, "Obesity and the human microbiome", Curr Opin Gastroenterol, 26, pp.5~11 (2010)
  32. John GK, "The gut microbiome and obesity", Curr Oncol Rep, 18, pp.45~ (2016)
  33. Sadamatsu H, "A low body mass index is associated with unsuccessful treatment in patients with Mycobacterium avium complex pulmonary disease", J Clin Med, 10, pp.1576~ (2021)
  34. Bai J, "Composition of gut microbiota and its association with body mass index and lifestyle factors in a cohort of 7-18 years old children from the American Gut Project", Pediatr Obes, 14, pp.e12480~ (2019)
  35. Wang B, "The human microbiota in health and disease", Engineering, 3, pp.71~82 (2017)
  36. Uwamino Y, "Low serum estradiol levels are related to Mycobacterium avium complex lung disease : a cross-sectional study", BMC Infect Dis, 19, pp.1055~ (2019)
  37. Kwa M, "The intestinal microbiome and estrogen receptor-positive female breast cancer", J Natl Cancer Inst, 108, pp.djw029~ (2016)
  38. Flores R, "Fecal microbial determinants of fecal and systemic estrogens and estrogen metabolites : a cross-sectional study", J Transl Med, 10, pp.253~ (2012)
  39. Kim YJ, "Arginine-mediated gut microbiome remodeling promotes host pulmonary immune defense against nontuberculous mycobacterial infection", Gut Microbes, 14, pp.2073132~ (2022)

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