慢性阻塞性肺疾病与骨质疏松症的关系:孟德尔随机化结合文献计量学分析。

IF 2.7 3区 生物学
Fangjun Yang, Huaming Wang, Miaomiao Liu, Shengtai Pei, Xiaoming Qiu
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引用次数: 0

摘要

背景:以前的观察性研究已经报道了慢性阻塞性肺疾病(COPD)和骨质疏松症(OP)之间的关联。本研究的目的是通过双样本孟德尔随机化(MR)分析来探讨COPD与OP之间的因果关系。通过文献计量学对近十年来COPD与OP的横断面研究现状进行了探讨。方法:已发现与COPD密切相关的单核苷酸多态性(snp)被用作MR分析中的工具变量(IVs)。研究的主要结果是测量5个特定解剖部位的骨密度,即全身、股骨颈、腰椎、前臂和足跟。这些骨密度测量主要来自全基因组关联研究(GWAS)和国际骨质疏松症遗传因素联盟(GEFOS)的汇总统计数据。主要分析方法为方差逆加权(IVW)。进行多重敏感性分析以评估当前MR结果的稳健性和可靠性。进一步对COPD和OP进行确证性MR分析。在文献计量学。出版物摘自2014年1月至2024年10月期间发表的与骨质疏松症和肌肉减少症相关的Web of Science核心馆藏出版物;使用Microsoft Office Excel、Citespace和R (Bibliometrix)进行文献计量和可视化。结果:MR结果提示COPD与BMD在5个特定解剖部位之间没有因果关系。初级IVW MR分析的结果通常得到我们敏感性MR分析的支持。我们进行了MR分析来验证COPD和OP (IVW OR: 1.019;95%置信区间:0.898—-1.564;p = 0.768)也不支持COPD与BMD之间的因果关系。文献计量学分析共收录了来自42个国家/地区的1119个机构、3331位作者在238种期刊上发表的471篇论文。中国是发表论文数量最多的国家。中国医科大学发表的论文最多。《国际慢性阻塞性肺病杂志》在这一领域拥有最高的出版物。结论:本MR研究发现COPD和OP之间没有因果关系,提示观察到的关联可能是由于共同的遗传效应或环境混杂因素。通过文献计量学分析,总结了近十年来该领域的全球研究趋势,care成为未来copd与OP关系研究的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between chronic obstructive pulmonary disease and osteoporosis: Mendelian randomization combined with bibliometric analysis.

Background: Previous observational studies have reported an association between chronic obstructive pulmonary disease (COPD) and osteoporosis (OP). The aim of this study is to investigate the causal relationship between COPD and OP by two-sample Mendelian randomization (MR) analysis. The current status of cross-sectional research between COPD and OP in the past decade was explored through bibliometrics.

Methods: Single nucleotide polymorphisms (SNPs) that have been found to be strongly associated with COPD were used as instrumental variables (IVs) in MR Analysis. The primary outcome of the study was BMD measurement at five specific anatomical sites, namely the whole body, femoral neck, lumbar spine, forearm, and heel. These BMD measurements were derived primarily from a genome-wide association study (GWAS) and summary statistics from the International Genetic Factors Consortium for Osteoporosis (GEFOS). The main analysis method was inverse variance weighting (IVW). Multiple sensitivity analyses were performed to assess the robustness and reliability of the current MR Results. Further confirmatory MR Analysis between COPD and OP was applied. In bibliometrics. Publications were extracted from the Web of Science core collection publications related to osteoporosis and sarcopenia published between January 2014 and October 2024; Bibliometrics and visualization were performed by Microsoft Office Excel, Citespace, and R (Bibliometrix).

Results: The MR Findings suggest that there is no causal relationship between COPD and BMD at five specific anatomical sites. The results of the primary IVW MR Analysis were generally supported by our sensitivity MR Analysis. We performed MR Analysis for the validation of COPD and OP (IVW OR: 1.019; 95%CI: 0.898-1.564; p = 0.768) also did not support a causal relationship between COPD and BMD. A total of 471 articles written by 1119 organizations from 42 countries/regions by 3331 authors and published in 238 journals were identified in the bibliometric analysis. China is the leading country in terms of the number of publications. China Medical University contributed the most publications. The International Journal of Chronic Obstructive Pulmonary Disease has the highest publication in this field.

Conclusions: In conclusion, This MR Study found no causal relationship between COPD and OP, suggesting that the observed associations may be due to common genetic effects or environmental confounders. The global research trends in this field in the past decade were summarized through bibliometric analysis, and care became the focus of future research on the relationship between copd and OP.

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来源期刊
Hereditas
Hereditas Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.80
自引率
3.70%
发文量
0
期刊介绍: For almost a century, Hereditas has published original cutting-edge research and reviews. As the Official journal of the Mendelian Society of Lund, the journal welcomes research from across all areas of genetics and genomics. Topics of interest include human and medical genetics, animal and plant genetics, microbial genetics, agriculture and bioinformatics.
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