» Articles » PMID: 32756209

Association of Matrix Metalloproteinase-12 Polymorphisms with Chronic Obstructive Pulmonary Disease Risk: A Protocol for Systematic Review and Meta Analysis

Overview
Specialty General Medicine
Date 2020 Aug 7
PMID 32756209
Citations 1
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Chronic obstructive pulmonary disease (COPD) is a multifactorial disease with gene-environment interaction leading to airflow limitation through the respiratory tract. Reports on the association of matrix metalloproteinase 12 (MMP-12) polymorphisms with COPD have been controversial. A new systematic evaluation which could examine whether MMP-12 mutations are associated with the susceptibility to COPD is needed.

Methods: We will search PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure and Google Scholar to obtain eligible case-control studies for meta-analysis. The time is limited from the construction of the library to July 2020. Two investigators systematically will extract relevant data within those included studies.The odds ratio and 95% confidence intervals will be used to assess the genetic association between the allelic, dominant and recessive models of MMP-12 gene polymorphisms and COPD risk. Stata 12.0 software and Revman 5.3 will be adopted for statistical analysis. This protocol reported under the Preferred Reporting ltems for Systematic Reviews and Meta-Analyses Protocols statement.

Results: This study will provide a better understanding of the association between MMP-12 polymorphisms and COPD risk.

Conclusion: Publishing this protocol will minimise the possibility of bias due to post hoc changes to the analysis protocol.

Citing Articles

Matrix Metalloproteinases in Chronic Obstructive Pulmonary Disease.

Christopoulou M, Papakonstantinou E, Stolz D Int J Mol Sci. 2023; 24(4).

PMID: 36835197 PMC: 9966421. DOI: 10.3390/ijms24043786.

References
1.
. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159):1736-1788. PMC: 6227606. DOI: 10.1016/S0140-6736(18)32203-7. View

2.
Brozek G, Nowak M, Zejda J, Jankowski M, Lawson J, Pierzchala W . Costs of pharmacotherapy of chronic obstructive pulmonary disease in relation to changing Global Initiative for Chronic Obstructive Lung Disease guidelines (2007, 2011, and 2017 updates). Pol Arch Intern Med. 2019; 129(5):308-315. DOI: 10.20452/pamw.4487. View

3.
Wang C, Xu J, Yang L, Xu Y, Zhang X, Bai C . Prevalence and risk factors of chronic obstructive pulmonary disease in China (the China Pulmonary Health [CPH] study): a national cross-sectional study. Lancet. 2018; 391(10131):1706-1717. DOI: 10.1016/S0140-6736(18)30841-9. View

4.
Aggarwal T, Wadhwa R, Rohil V, Maurya P . Biomarkers of oxidative stress and protein-protein interaction in chronic obstructive pulmonary disease. Arch Physiol Biochem. 2017; 124(3):226-231. DOI: 10.1080/13813455.2017.1387796. View

5.
Little J, Higgins J, Ioannidis J, Moher D, Gagnon F, von Elm E . STrengthening the REporting of Genetic Association Studies (STREGA): an extension of the STROBE statement. PLoS Med. 2009; 6(2):e22. PMC: 2634792. DOI: 10.1371/journal.pmed.1000022. View