NCT04876833

Brief Summary

This study is aiming at 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. Then reveal the influence of intestinal microecology on the development of COPD and the possible mechanism of intestinal microecology in the pathogenesis of COPD.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
120

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started May 2021

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 25, 2021

Completed
6 days until next milestone

Study Start

First participant enrolled

May 1, 2021

Completed
6 days until next milestone

First Posted

Study publicly available on registry

May 7, 2021

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 1, 2022

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

July 1, 2022

Completed
Last Updated

May 10, 2021

Status Verified

May 1, 2021

Enrollment Period

11 months

First QC Date

April 25, 2021

Last Update Submit

May 6, 2021

Conditions

Keywords

Chronic Obstructive Pulmonary DiseaseIntestinal MicrobiomeMetaboliteImmune Function

Outcome Measures

Primary Outcomes (13)

  • Breathlessness measurement

    modified British Medical Reseach Council (mMRC):the score increases from 0 to 4,and higher scores mean a heavier symptom.

    1 month

  • Symptoms measurement

    COPD assessment test (CAT):the score increases from 0 to 40,and higher scores mean a heavier symptom.

    1 month

  • Quality of life measurement

    St. George's Respiratory Questionnaire (SGRQ): the score increases from 0 to 100,and higher scores mean a heavier symptom.

    1 month

  • Risk of acute exacerbation of participants

    dyspnea,degree of airflow obstruction,smoking status,the number of exacerbation (DOSE): the score increases from 0 to 9,and higher scores mean a higher risk of acute exacerbation.

    1 month

  • Pulmonary function

    Forced expiratory volume in 1 s (FEV1)/forced vital capacity (FVC), FEV1%predicted, MMEF25-75%: range from 0%-100%, and higher percentages mean a heavier symptom.

    1 month

  • Compatible computed tomography

    mean lung density

    1 month

  • Characteristics of intestinal microbiome

    Alpha diversity,Beta diversity,Species differences between groups at different taxonomic levels.

    1 month

  • Contents of short chain fatty acid in fecal samples

    acetic acid, propionic acid, butyric acid

    1 month

  • Blood routine

    neutrophilic granulocyte percent, eosinophilic granulocyte percent: higher percentages mean a heavier symptom.

    1 month

  • Concentration of protein in serum

    fibrinogen, C-reactive protein, surfactant protein-D(SP-D)

    1 month

  • Concentration of enzyme in serum

    neutrophil elastase, alpha1-antitrypsin

    1 month

  • Concentration of inflammatory factor in serum

    TNF-α, IFN-γ, IL-6, IL-8, IL-17

    1 month

  • Concentration of chemokine in serum

    CCL-16, CCL-18

    1 month

Study Arms (4)

HC,healthy control

18-65 years old,no smoking history,normal pulmonary function,normal compatible computed tomography.

HG,high-risk COPD group

18-60 years old,≥10 pack-years smoking history,normal pulmonary function,normal compatible computed tomography.

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).

MG,mild and moderate COPD group

18-65 years old,FEV1/FVC\<70%,FEV1%predicted ≥50%.

Eligibility Criteria

Age18 Years - 65 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Participants are from Physical Examination Department and Respiratory and Critical Care Medicine Department of the Second Affiliated Hospital of Xi 'an Jiaotong University.

You may qualify if:

  • ≥10 pack-years smoking history;
  • Examination of pulmonary function and compatible computed tomography meeting group requirements (as shown in Groups and Interventions).

You may not qualify if:

  • Take antibiotics, probiotics, prebiotics, synbiotics and other drugs that obviously interfere with intestinal microbiome within 2 months;
  • Suffer from other chronic respiratory diseases other than COPD (such as bronchial asthma, allergic rhinitis, pulmonary interstitial fibrosis, bronchiectasis, lung cancer, etc.);
  • Suffer from severe intestinal diseases (such as inflammatory bowel disease, intestinal infections, colorectal cancer, etc.);
  • Suffer from serious hematopoietic system diseases, and the brain, heart, liver, kidney and other important organs are damaged;
  • Suffer from severe hypertension, coronary heart disease, diabetes and other chronic diseases and taking drugs for long-term maintenance;
  • Suffer from active infectious diseases (hepatitis B, tuberculosis, etc.);
  • Pregnant or lactating women;
  • Patients with obvious anxiety, depression and other psychiatric symptoms and patients with schizophrenia.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Second Affiliated Hospital of Xi'an Jiaotong University

Xi'an, Shaanxi, 710000, China

Location

Related Publications (16)

  • 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.

    PMID: 30485116BACKGROUND
  • 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.

    PMID: 30592902BACKGROUND
  • 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.

    PMID: 27694885BACKGROUND
  • 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

Biospecimen

Retention: SAMPLES WITHOUT DNA

Fecal Specimen,Serum Specimen

MeSH Terms

Conditions

Pulmonary Disease, Chronic Obstructive

Condition Hierarchy (Ancestors)

Lung Diseases, ObstructiveLung DiseasesRespiratory Tract DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Yun Liu, MD

    Second Affiliated Hospital of Xi'an Jiaotong University

    STUDY CHAIR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
CROSS SECTIONAL
Target Duration
1 Month
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 25, 2021

First Posted

May 7, 2021

Study Start

May 1, 2021

Primary Completion

April 1, 2022

Study Completion

July 1, 2022

Last Updated

May 10, 2021

Record last verified: 2021-05

Data Sharing

IPD Sharing
Will share

We plan to share with others the deidentified individual-patient data (IPD) underlying the results presented in the article (including tables, figures, and appendices or supplementary material).

Shared Documents
STUDY PROTOCOL, SAP, ICF, CSR, ANALYTIC CODE
Time Frame
Immediately following publication; no end date
Access Criteria
We plan to share with anyone who wishes to access the data for any purpose of analyses and data are available indefinitely.

Locations