Understanding the Relationship between Metabolome and Gut Microbiome inAcute Obstructive Pulmonary Disease and development of lung cancer risks

Authors

DOI:

https://doi.org/10.56294/hl2025775

Keywords:

Alternative Ingredients, Broilers, Lipid Peroxidation, Probiotics, Growth

Abstract

The gut-lung axis links dysbiosis of the gut microbiota to bronchiectasis. Gaining knowledge of the metabolic and microbiological changes can help one understand how a disease develops.  To investigate at how the metabolome, gut microbiota, and bronchiectasis are related, and to find possible biomarkers for the diagnosis and treatment of disease was the aim of this research.  150 participants' fecal samples (42 Healthy Controls (HC), 48 Stable Patients (SP), and 60 Acute Exacerbation (AE)) were examined using LC-MS-based metabolomics and 16S rRNA sequencing.  For statistical analysis, SPSS 19.0 were utilized, along with Pearson's correlation and LDA effect size (LEfSe).  Microorganism diversity was reduced in bronchiectasis patients, with firmicutes and Bacteroidetes being less prevalent.  There were changes in several metabolic pathways, such as the metabolism of glycerophospholipids, sphingolipids, purines, and tryptophan. Research emphasizes that the pathophysiology of bronchiectasis is influenced by the gut flora. The significance of more longitudinal research is highlighted by the potential diagnostic and therapeutic targets provided by identified microbial and metabolic biomarkers.

References

1. Wang Z, Yang Y, Yan Z, Liu H, Chen B, Liang et al.Multi-omic meta-analysis identifies functional signatures of airway microbiome in chronic obstructive pulmonary disease. The ISME Journal. 2020 Nov;14(11):2748-65. https://doi.org/10.1038/s41396-020-0727-y

2. Sittipo P, Shim JW, Lee YK. Microbial metabolites determine host health and the status of some diseases. International journal of molecular sciences. 2019 Oct 24;20(21):5296. https://doi.org/10.3390/ijms20215296

3. Risely A. Applying the core microbiome to understand host–microbe systems. Journal of Animal Ecology. 2020 Jul;89(7):1549-58. https://doi.org/10.1111/1365-2656.13229

4. Rosales SM, Huebner LK, Evans JS, Apprill A, Baker AC, Becker CC, et al. A meta-analysis of the stony coral tissue loss disease microbiome finds key bacteria in unaffected and lesion tissue in diseased colonies. ISME communications. 2023 Mar 9;3(1):19. https://doi.org/10.1038/s43705-023-00220-0

5. Romano S, Savva GM, Bedarf JR, Charles IG, Hildebrand F, Narbad A. Meta-analysis of the Parkinson’s disease gut microbiome suggests alterations linked to intestinal inflammation. npj Parkinson's Disease. 2021 Mar 10;7(1):27. https://doi.org/10.1038/s41531-021-00156-z

6. Tang ZZ, Chen G, Hong Q, Huang S, Smith HM, Shah RD, et al.Multi-omic analysis of the microbiome and metabolome in healthy subjects reveals microbiome-dependent relationships between diet and metabolites. Frontiers in Genetics. 2019 May 17;10:454. https://doi.org/10.3389/fgene.2019.00454

7. Shalash AS, Mohamed H, Mansour AH, Elkady A, Elrassas H, Hamid E, et al. Clinical profile of non-motor symptoms in patients with essential tremor: impact on quality of life and age-related differences. Tremor and Other Hyperkinetic Movements. 2019;9. https://doi.org/10.7916%2Ftohm.v0.736

8. Di Stefano M, Santonocito S, Polizzi A, Mauceri R, Troiano G, Lo Giudice A, et al. A reciprocal link between oral, gut microbiota during periodontitis: the potential role of probiotics in reducing dysbiosis-induced inflammation. International Journal of Molecular Sciences. 2023 Jan 6;24(2):1084. https://doi.org/10.3390/ijms24021084

9. Chioma OS, Hesse LE, Chapman A, Drake WP. Role of the microbiome in interstitial lung diseases. Frontiers in Medicine. 2021 Jan 28;8:595522. https://doi.org/10.3389/fmed.2021.595522

10. An X, Bao Q, Di S, Zhao Y, Zhao S, Zhang H, et al. The interaction between the gut microbiota and herbal medicines. Biomedicine & Pharmacotherapy. 2019 Oct 1;118:109252. https://doi.org/10.1016/j.biopha.2019.109252

11. Attaway AH, Welch N, Hatipoğlu U, Zein JG, Dasarathy S. Muscle loss contributes to higher morbidity and mortality in COPD: an analysis of national trends. Respirology. 2021 Jan;26(1):62-71. https://doi.org/10.1111/resp.13877

12. Kahnert K, Jörres RA, Behr J, Welte T. The diagnosis and treatment of COPD and its comorbidities. DeutschesÄrzteblatt International. 2023 Jun;120(25):434. https://doi.org/10.3238%2Farztebl.m2023.027

13. André S, Conde B, Fragoso E, Boléo-Tomé JP, Areias V, Cardoso J. COPD, and cardiovascular disease. Pulmonology. 2019 May 1;25(3):168-76. https://doi.org/10.1016/j.pulmoe.2018.09.006

14. Liu H, Zheng D, Lin Y, Liu Z, Liang Z, Su J, et al. Association of sputum microbiome with clinical outcome of initial antibiotic treatment in hospitalized patients with acute exacerbations of COPD. Pharmacological Research. 2020 Oct 1;160:105095. https://doi.org/10.1016/j.phrs.2020.105095

15. Li Y, Ma J, Yu Y, Li Y, Shen X, Huo S, et al. Effects of multiple global change factors on soil microbial richness, diversity and functional gene abundances: A meta-analysis. Science of the Total Environment. 2022 Apr 1;815:152737. https://doi.org/10.1016/j.scitotenv.2021.152737

16. Yan Z, Chen B, Yang Y, Yi X, Wei M, Ecklu-Mensah G, et al. Multi-omics analyses of airway host–microbe interactions in chronic obstructive pulmonary disease identify potential therapeutic interventions. Nature Microbiology. 2022 Sep;7(9):1361-75. https://doi.org/10.1038/s41564-022-01196-8

17. Foulkes AC, Watson DS, Carr DF, Kenny JG, Slidel T, Parslew R, et al. A framework for multi-omic prediction of treatment response to biologic therapy for psoriasis. Journal of Investigative Dermatology. 2019 Jan 1;139(1):100-7. https://doi.org/10.1016/j.jid.2018.04.041

18. Lim MY, Hong S, Kim BM, Ahn Y, Kim HJ, Nam YD. Changes in microbiome and metabolomic profiles of fecal samples stored with stabilizing solution at room temperature: a pilot study. Scientific reports. 2020 Feb 4;10(1):1789. https://doi.org/10.1038/s41598-020-58719-8

19. Visconti A, Le Roy CI, Rosa F, Rossi N, Martin TC, Mohney RP, et al. Interplay between the human gut microbiome and host metabolism. Nature communications. 2019 Oct 3;10(1):1-0. https://doi.org/10.1038/s41467-019-12476-z

20. Wu W, Li Z, Wang Y, Huang C, Zhang T, Zhao H. Advances in metabolomics of chronic obstructive pulmonary disease. Chinese Medical Journal Pulmonary and Critical Care Medicine. 2023 Dec 8. https://doi.org/10.1016/j.pccm.2023.10.001

21. De Nuccio F, Piscitelli P, Toraldo DM. Gut–lung Microbiota interactions in chronic obstructive pulmonary disease (COPD): potential mechanisms driving progression to COPD and epidemiological data. Lung. 2022 Dec;200(6):773-81. https://doi.org/10.1007/s00408-022-00581-8

22. Yang J, Zhang Q, Zhang J, Ouyang Y, Sun Z, Liu X, Qaio F, Xu LQ, Niu Y, Li J. Exploring the change of host and microorganism in chronic obstructive pulmonary disease patients based on metagenomic and metatranscriptomic sequencing. Frontiers in microbiology. 2022 Mar 16;13:818281. https://doi.org/10.3389/fmicb.2022.818281

23. Chiu YC, Lee SW, Liu CW, Lin RC, Huang YC, Lan TY, et al. Comprehensive profiling of the gut microbiota in patients with chronic obstructive pulmonary disease of varying severity. PLoS One. 2021 Apr 9; 16(4):e0249944. https://doi.org/10.1371/journal.pone.0249944

24. Xiao W, Chen YL, Du LY, Wu J, Wang Z, Mao B, Wen FQ, Gibson PG, McDonald VM, Yu H, Fu JJ. Bacterial interactome disturbance in chronic obstructive pulmonary disease clinical stability and exacerbations. Respiratory Research. 2024 Apr 20;25(1):173. https://doi.org/10.1186/s12931-024-02802-5

Downloads

Published

2025-08-16

How to Cite

1.
Alosaimi DN, Jena B, Katyal A, Patel DJ, Singh J, Lavanya P. Understanding the Relationship between Metabolome and Gut Microbiome inAcute Obstructive Pulmonary Disease and development of lung cancer risks. Health Leadership and Quality of Life [Internet]. 2025 Aug. 16 [cited 2025 Aug. 30];4:775. Available from: https://hl.ageditor.ar/index.php/hl/article/view/775