Evidence map›Paper›PMID 31684967›Full record

ArticleRespiratory research2019

Variable DNA methylation of aging-related genes is associated with male COPD.

Xizi Du, Lin Yuan, Mengping Wu, Meichao Men, Ruoxi He, Leyuan Wang, Shuangyan Wu, Yang Xiang, Xiangping Qu, Huijun Liu and 4 more

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Matrix Metalloproteinases in Chronic Obstructive Pulmonary Disease.International journal of molecular sciences · 2023
    Review
  3. Article
  4. Article
  5. Article
  6. Aberrant Methylation of Aging-Related Genes in Asthma.Frontiers in molecular biosciences · 2021
    Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 1 institution in 1 country.

Xizi DuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Lin YuanDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Mengping WuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Meichao MenHealth Management Center, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ruoxi HeDepartment of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Leyuan WangDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Shuangyan WuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Yang XiangDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Xiangping QuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Huijun LiuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Xiaoqun QinDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China.
Chengping HuDepartment of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Ling QinDepartment of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, Xiangya Hospital, Central South University, Changsha, Hunan, China. qlmelody@csu.edu.cn.
Chi LiuDepartment of Physiology; China-Africa Infection Diseases Research Center, Xiangya School of Medicine, Central South University, Changsha, 410078, Hunan, China. liu.chi@csu.edu.cn.ORCID http://orcid.org/0000-0003-2872-9576
Central South University · CN

Funding

Fundamental Research Funds for Central Universities of the Central South University #2018zzts812Fundamental Research Funds for Central Universities of the Central South University #2018zzts813National Natural Science Foundation of China-Yunnan Joint Fund #81570026, #81670002 and #3167188Natural Science Foundation of Hunan Province #2017JJ2402open Foundation of Hunan College Innovation Program #16K097, #14K109Young Elite Scientists Sponsors hip Program #2015QNRC001
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is a chronic lung inflammatory disease which has a close relationship with aging. Genome-wide analysis reveals that DNA methylation markers vary obviously with age. DNA methylation variations in peripheral blood have the potential to be biomarkers for COPD. However, the specific DNA methylation of aging-related genes in the peripheral blood of COPD patients remains largely unknown.

methodsFirstly, 9 aging-related differentially expressed genes (DEGs) in COPD patients were screened out from the 25 aging-related genes profile through a comprehensive screening strategy. Secondly, qPCR and multiple targeted bisulfite enrichment sequencing (MethTarget) were used to detect the mRNA level and DNA methylation level of the 9 differentially expressed genes in the peripheral blood of 60 control subjects and 45 COPD patients. The candidate functional CpG sites were selected on the basis of the regulation ability of the target gene expression. Thirdly, the correlation was evaluated between the DNA methylation level of the key CpG sites and the clinical parameters of COPD patients, including forced expiratory volume in one second (FEV1), forced expiratory volume in one second as percentage of predicted volume (FEV1%), forced expiratory volume/ forced vital capacity (FEV/FVC), modified British medical research council (mMRC) score, acute exacerbation frequency and the situation of frequent of acute aggravation (CAT) score. Lastly, differentially methylated CpG sites unrelated to smoking were also determined in COPD patients.

resultsOf the 9 differentially expressed aging-related genes, the mRNA expression of 8 genes were detected to be significantly down-regulated in COPD group, compared with control group. Meanwhile, the methylated level of all aging-related genes was changed in COPD group containing 219 COPD-related CpG sites in total. Notably, 27 CpG sites of FOXO3 gene showed a lower False Discovery Rate (FDR) and higher methylation difference values. Also, some variable DNA methylation is associated with the severity of COPD. Additionally, of the 219 COPD-related CpG sites, 147 CpG sites were not related to smoking.

conclusionThese results identified that the mRNA expression and DNA methylation level of aging-related genes were changed in male COPD patients, which provides a molecular link between aging and COPD. The identified CpG markers are associated with the severity of COPD and provide new insights into the prediction and identification of COPD.

Indexed as

DNA MethylationAdolescentAdultAgedAged, 80 and overAge FactorsAgingCase-Control StudiesCpG IslandsDatabases, GeneticFemaleForced Expiratory VolumeForkhead Transcription FactorsGenetic Predisposition to DiseaseHumansLungForkhead Transcription FactorsFOXP3 protein, humanAgingAging-related genesCOPDDNA methylation

Identifiers

PMID31684967
PMCPMC6829949
OpenAlexW2987359474

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.