Evidence map›Paper›PMID 39468530›Full record

ArticleRespiratory research2024

Impact of HHIP gene polymorphisms on phenotypes, serum IL-17 and IL-18 in COPD patients of the Chinese Han population.

Jiajun Zhang, Di Zhao, Lili Zhang, Xueyan Feng, Beibei Li, Hui Dong, Yanchao Qi, Zun Jia, Fuyun Liu, Shaohui Zhao and 1 more

Abstract read
In one paragraph

Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Jiajun ZhangSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Di ZhaoSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Lili ZhangSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Xueyan FengSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Beibei LiSchool of Clinical Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, People's Republic of China.
Hui DongCenter of Research Equipment Management, General Hospital of Ningxia Medical University, Yinchuan, 750004, People's Republic of China.
Yanchao QiDepartment of Respiratory and Critical Care Medicine, The Second People's Hospital of Shizuishan, Shizuishan, 753000, People's Republic of China.
Zun JiaDepartment of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Ningxia, Shizuishan, 753000, People's Republic of China.
Fuyun LiuDepartment of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Ningxia, Shizuishan, 753000, People's Republic of China.
Shaohui ZhaoDepartment of Respiratory and Critical Care Medicine, The Fifth People's Hospital of Ningxia, Shizuishan, 753000, People's Republic of China.
Jin ZhangDepartment of Respiratory and Critical Care Medicine, General Hospital of Ningxia Medical University, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, People's Republic of China. 2140148928@qq.com.

Funding

National Key Research and Development Program of China 2018YFC1313704the Science and Technology Key Research Program of Ningxia, China 2021BEG02031
6 · The paper itself

Abstract

backgroundGenetic factors, including the Hedgehog Interacting Protein (HHIP) gene, play a crucial role in Chronic Obstructive Pulmonary Disease (COPD) susceptibility. This study examines the association between HHIP gene polymorphisms and COPD susceptibility, phenotypes, and serum IL-17 and IL-18 levels in a Han Chinese population.

methodsA case-control study was conducted with 300 COPD patients and 300 healthy controls in Chinese Han population. Participants underwent genotyping for HHIP gene polymorphisms, pulmonary function tests, and quantitative CT scans. DNA samples were sequenced using a custom chip targeting the HHIP gene. Serum IL-17 and IL-18 levels were measured by enzyme-linked immunosorbent assay. Associations between SNPs, COPD susceptibility, and phenotypes were analyzed using logistic and multiple linear regression models, adjusting for confounders.

resultsOur study identified the rs11100865 polymorphism in the HHIP gene as significantly associated with COPD susceptibility (OR 2.479, 95% CI 1.527-4.024, P = 2.39E-04) after screening 114 SNPs through rigorous quality control. Stratified analyses further indicated this association was particularly in individuals aged 60 or older. Serum levels of IL-17 and IL-18 were significantly elevated in COPD patients compared to controls, with rs11100865 showing a notable association with IL-18 levels (B = 49.654, SE = 19.627, P = 0.012). However, no significant associations were observed between rs11100865 and serum IL-17 levels, COPD-related imaging parameters, or clinical phenotypes.

conclusionThis study identified a significant association between HHIP gene polymorphisms and COPD susceptibility in a Han Chinese population, with connections to inflammation, but found no significant associations between this SNP and COPD-related imaging or clinical phenotypes.

trial registrationwww.chictr.org.cn ID: ChiCTR2300071579 2023-05-18.

Indexed as

Carrier ProteinsInterleukin-17Interleukin-18Membrane GlycoproteinsPulmonary Disease, Chronic ObstructiveAgedCase-Control StudiesChinaEast Asian PeopleFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideCarrier ProteinsHHIP protein, humanIL18 protein, humanInterleukin-17Interleukin-18Membrane GlycoproteinsCOPDHedgehog interacting proteinIL-17IL-18PhenotypeSingle nucleotide polymorphism

Identifiers

PMID39468530
PMCPMC11520666

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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.