Characteristics of Intestinal Microbiome in the Progression of Early COPD
NCT ID: NCT04876833
Last Updated: 2021-05-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
120 participants
OBSERVATIONAL
2021-05-31
2022-07-31
Brief Summary
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Detailed Description
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2. Collect clinical data of the participants and asses the severity of symptoms and the risk of acute exacerbation of COPD patients. Clinical data include general condition, history of past illness, history of present illness, personal history, family history and the examination results of blood routine, pulmonary function and compatible computed tomography. Breathlessness measurement adopt the modified British Medical Reseach Council (mMRC); symptoms measurement adopt COPD assessment test (CAT); quality of life measurement adopt St. George's Respiratory Questionnaire (SGRQ); risk of acute exacerbation measurement adopt dyspnea，degree of airflow obstruction，smoking status and the number of exacerbation (DOSE) scoring system.
3. Collect fecal specimens from the participants on the morning of the same day. During the first three days of collection, they should keep their daily dietary habits and avoid sudden changes in dietary habits. Considerations: first remove the urine, excrement into a clean dry container, do not mix with urine and other sundries; the part of the feces that do not contact the air and container is taken from the specimen; women who are menstruating cannot be sampled. Each participant collect 3 fecal samples with a sterile spoon in a sterile enzyme-free cryopreservation tube, label the sample name and date, quickly placed in a -20℃ refrigerator, and transported to the hospital within 2 hours, where they were stored at -80℃. Fecal microbiome are detected by 16S rRNA gene sequencing and metabolite short chain fatty acid (SCFA) are detected by Gaschromatography (GC).
4. Serum of participants are collected at the clinical laboratory and detect indicators related to immune function by enzyme-linked immunosorbent assay (ELISA).
5. Explore the characteristics of intestinal microbiome during the early progression of COPD, the correlation between the changes of intestinal microbiome and the severity and risk of acute exacerbation of COPD, the correlation between microbial metabolites SCFA and immune function of COPD.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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HC，healthy control
18-65 years old，no smoking history，normal pulmonary function，normal compatible computed tomography.
No interventions assigned to this group
HG，high-risk COPD group
18-60 years old，≥10 pack-years smoking history，normal pulmonary function，normal compatible computed tomography.
No interventions assigned to this group
EG，early COPD group
18-60 years old，≥10 pack-years smoking history，and with any of the following abnormalities：
1. Forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC) less than 80%;
2. Compatible computed tomography abnormalities：airway abnormality and/or emphysema，air trapping, or bronchial thickening；
3. FEV1 decline (≥60 mL per year).
No interventions assigned to this group
MG，mild and moderate COPD group
18-65 years old，FEV1/FVC\<70%，FEV1%predicted ≥50%.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
2. Examination of pulmonary function and compatible computed tomography meeting group requirements (as shown in Groups and Interventions).
Exclusion Criteria
2. Suffer from other chronic respiratory diseases other than COPD (such as bronchial asthma, allergic rhinitis, pulmonary interstitial fibrosis, bronchiectasis, lung cancer, etc.);
3. Suffer from severe intestinal diseases (such as inflammatory bowel disease, intestinal infections, colorectal cancer, etc.);
4. Suffer from serious hematopoietic system diseases, and the brain, heart, liver, kidney and other important organs are damaged;
5. Suffer from severe hypertension, coronary heart disease, diabetes and other chronic diseases and taking drugs for long-term maintenance;
6. Suffer from active infectious diseases (hepatitis B, tuberculosis, etc.);
7. Pregnant or lactating women;
8. Patients with obvious anxiety, depression and other psychiatric symptoms and patients with schizophrenia.
18 Years
65 Years
ALL
Yes
Sponsors
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Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
OTHER
Second Affiliated Hospital of Xi'an Jiaotong University
OTHER
Responsible Party
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Principal Investigators
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Yun Liu, MD
Role: STUDY_CHAIR
Second Affiliated Hospital of Xi'an Jiaotong University
Locations
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Second Affiliated Hospital of Xi'an Jiaotong University
Xi'an, Shaanxi, China
Countries
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Central Contacts
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Facility Contacts
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References
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Tsay JJ, Segal LN. Could the Sputum Microbiota Be a Biomarker That Predicts Mortality after Acute Exacerbations of Chronic Obstructive Pulmonary Disease? Am J Respir Crit Care Med. 2019 May 15;199(10):1175-1176. doi: 10.1164/rccm.201811-2138ED. No abstract available.
Stockley RA, Halpin DMG, Celli BR, Singh D. Chronic Obstructive Pulmonary Disease Biomarkers and Their Interpretation. Am J Respir Crit Care Med. 2019 May 15;199(10):1195-1204. doi: 10.1164/rccm.201810-1860SO.
Budden KF, Gellatly SL, Wood DL, Cooper MA, Morrison M, Hugenholtz P, Hansbro PM. Emerging pathogenic links between microbiota and the gut-lung axis. Nat Rev Microbiol. 2017 Jan;15(1):55-63. doi: 10.1038/nrmicro.2016.142. Epub 2016 Oct 3.
GBD 2015 Chronic Respiratory Disease Collaborators. Global, regional, and national deaths, prevalence, disability-adjusted life years, and years lived with disability for chronic obstructive pulmonary disease and asthma, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet Respir Med. 2017 Sep;5(9):691-706. doi: 10.1016/S2213-2600(17)30293-X. Epub 2017 Aug 16.
Wang C, Xu J, Yang L, Xu Y, Zhang X, Bai C, Kang J, Ran P, Shen H, Wen F, Huang K, Yao W, Sun T, Shan G, Yang T, Lin Y, Wu S, Zhu J, Wang R, Shi Z, Zhao J, Ye X, Song Y, Wang Q, Zhou Y, Ding L, Yang T, Chen Y, Guo Y, Xiao F, Lu Y, Peng X, Zhang B, Xiao D, Chen CS, Wang Z, Zhang H, Bu X, Zhang X, An L, Zhang S, Cao Z, Zhan Q, Yang Y, Cao B, Dai H, Liang L, He J; China Pulmonary Health Study Group. Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study. Lancet. 2018 Apr 28;391(10131):1706-1717. doi: 10.1016/S0140-6736(18)30841-9. Epub 2018 Apr 9.
Colak Y, Afzal S, Nordestgaard BG, Vestbo J, Lange P. Prevalence, Characteristics, and Prognosis of Early Chronic Obstructive Pulmonary Disease. The Copenhagen General Population Study. Am J Respir Crit Care Med. 2020 Mar 15;201(6):671-680. doi: 10.1164/rccm.201908-1644OC.
Bowerman KL, Rehman SF, Vaughan A, Lachner N, Budden KF, Kim RY, Wood DLA, Gellatly SL, Shukla SD, Wood LG, Yang IA, Wark PA, Hugenholtz P, Hansbro PM. Disease-associated gut microbiome and metabolome changes in patients with chronic obstructive pulmonary disease. Nat Commun. 2020 Nov 18;11(1):5886. doi: 10.1038/s41467-020-19701-0.
Jang YO, Lee SH, Choi JJ, Kim DH, Choi JM, Kang MJ, Oh YM, Park YJ, Shin Y, Lee SW. Fecal microbial transplantation and a high fiber diet attenuates emphysema development by suppressing inflammation and apoptosis. Exp Mol Med. 2020 Jul;52(7):1128-1139. doi: 10.1038/s12276-020-0469-y. Epub 2020 Jul 17.
Sprooten RTM, Lenaerts K, Braeken DCW, Grimbergen I, Rutten EP, Wouters EFM, Rohde GGU. Increased Small Intestinal Permeability during Severe Acute Exacerbations of COPD. Respiration. 2018;95(5):334-342. doi: 10.1159/000485935. Epub 2018 Jan 25.
Keely S, Talley NJ, Hansbro PM. Pulmonary-intestinal cross-talk in mucosal inflammatory disease. Mucosal Immunol. 2012 Jan;5(1):7-18. doi: 10.1038/mi.2011.55. Epub 2011 Nov 16.
Wypych TP, Wickramasinghe LC, Marsland BJ. The influence of the microbiome on respiratory health. Nat Immunol. 2019 Oct;20(10):1279-1290. doi: 10.1038/s41590-019-0451-9. Epub 2019 Sep 9.
Mortaz E, Adcock IM, Ricciardolo FL, Varahram M, Jamaati H, Velayati AA, Folkerts G, Garssen J. Anti-Inflammatory Effects of Lactobacillus Rahmnosus and Bifidobacterium Breve on Cigarette Smoke Activated Human Macrophages. PLoS One. 2015 Aug 28;10(8):e0136455. doi: 10.1371/journal.pone.0136455. eCollection 2015.
Reale M, Boscolo P, Bellante V, Tarantelli C, Di Nicola M, Forcella L, Li Q, Morimoto K, Muraro R. Daily intake of Lactobacillus casei Shirota increases natural killer cell activity in smokers. Br J Nutr. 2012 Jul;108(2):308-14. doi: 10.1017/S0007114511005630. Epub 2011 Dec 6.
Tomoda K, Kubo K, Dairiki K, Yamaji T, Yamamoto Y, Nishii Y, Nakamura A, Yoshikawa M, Hamada K, Kimura H. Whey peptide-based enteral diet attenuated elastase-induced emphysema with increase in short chain fatty acids in mice. BMC Pulm Med. 2015 Jun 10;15:64. doi: 10.1186/s12890-015-0059-2.
Lee SH, Yun Y, Kim SJ, Lee EJ, Chang Y, Ryu S, Shin H, Kim HL, Kim HN, Lee JH. Association between Cigarette Smoking Status and Composition of Gut Microbiota: Population-Based Cross-Sectional Study. J Clin Med. 2018 Sep 14;7(9):282. doi: 10.3390/jcm7090282.
Li N, Yang Z, Liao B, Pan T, Pu J, Hao B, Fu Z, Cao W, Zhou Y, He F, Li B, Ran P. Chronic exposure to ambient particulate matter induces gut microbial dysbiosis in a rat COPD model. Respir Res. 2020 Oct 19;21(1):271. doi: 10.1186/s12931-020-01529-3.
Related Links
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Correlation index analysis of intestinal flora and inflammatory factors in patients with chronic obstructive pulmonary disease
Characteristics of intestinal flora in patients with chronic obstructive pulmonary disease and their correlation with inflammatory markers and pulmonary function status
Other Identifiers
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MR-61-21-012951
Identifier Type: -
Identifier Source: org_study_id
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