Relationship Between Serum Amino Acid Levels and Bone Mineral Density: A Mendelian Randomization Study

孟德尔随机化 医学 置信区间 内科学 多效性 骨矿物 单核苷酸多态性 骨质疏松症 全基因组关联研究 缬氨酸
作者
Zhiyong Cui,Hui Feng,Baichuan He,Jinyao He,Yun Tian
出处
期刊:Frontiers in Endocrinology [Frontiers Media SA]
卷期号:12
标识
DOI:10.3389/fendo.2021.763538
摘要

Background This study aimed to explore the association between serum amino acids (AAs) levels and bone mineral density (BMD). Methods We performed a two-sample Mendelian randomization (MR) analysis to analyze the associations between the levels of eight AAs and BMD values by using summary-level genome-wide association study (GWAS) data. We applied the MR Steiger filtering method and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) global test to check for and remove single nucleotide polymorphisms (SNPs) that were horizontally pleiotropic. The associations were estimated with the inverse variance weighted (IVW), MR-Egger, weighted median and MR Robust Adjusted Profile Score (MR.RAPS) methods. Results Our study found that genetically increased isoleucine (Ile) [IVW: effect = 0.1601, 95% confidence interval (CI) = 0.0604 ~ 0.2597, p = 0.0016] and valine (Val) levels (IVW: effect = 0.0953, 95% CI = 0.0251 ~ 0.1655, p = 0.0078) were positively associated with total body BMD (TB-BMD). The results also revealed that genetically increased tyrosine (Tyr) levels were negatively associated with TB-BMD (IVW: effect = -0.1091, 95% CI = -0.1863 ~ -0.0320, p = 0.0055). Conclusions In this study, associations between serum AA levels and BMD were established. These findings underscore the important role that serum AAs play in the development of osteoporosis and provide evidence that osteoporosis can be prevented and treated by the intake of certain AAs.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
眼睛大吐司完成签到,获得积分10
1秒前
1秒前
2秒前
2秒前
心灵发布了新的文献求助10
2秒前
美丽的芙完成签到 ,获得积分10
2秒前
3秒前
3秒前
4秒前
Colo完成签到,获得积分10
4秒前
higgskk发布了新的文献求助20
4秒前
lsx完成签到,获得积分10
4秒前
yyyyyyyjx完成签到,获得积分10
4秒前
李爱国应助小灰灰采纳,获得10
4秒前
曹星星完成签到,获得积分10
4秒前
秦菁菁完成签到,获得积分10
4秒前
傲娇小废柴完成签到,获得积分20
5秒前
量子星尘发布了新的文献求助10
5秒前
agleam完成签到,获得积分10
5秒前
天天快乐应助无限的盼晴采纳,获得10
6秒前
铃兰发布了新的文献求助10
6秒前
酷波er应助dreamy4869采纳,获得10
6秒前
852应助zhizhi采纳,获得10
6秒前
领导范儿应助小骄傲采纳,获得10
6秒前
6秒前
研友_8DAv0L发布了新的文献求助10
7秒前
嘟嘟许完成签到,获得积分10
7秒前
风韵犹存完成签到,获得积分10
7秒前
觅兴完成签到,获得积分0
7秒前
Alston发布了新的文献求助10
7秒前
轻松狗完成签到,获得积分10
7秒前
刘可发布了新的文献求助10
7秒前
大龙哥886应助syy采纳,获得10
7秒前
asdfzxcv应助昏睡的蟠桃采纳,获得10
8秒前
foceman发布了新的文献求助10
8秒前
8秒前
8秒前
麦田发布了新的文献求助10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 8000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
From Victimization to Aggression 1000
Study and Interlaboratory Validation of Simultaneous LC-MS/MS Method for Food Allergens Using Model Processed Foods 500
Red Book: 2024–2027 Report of the Committee on Infectious Diseases 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5646155
求助须知:如何正确求助?哪些是违规求助? 4770208
关于积分的说明 15033403
捐赠科研通 4804753
什么是DOI,文献DOI怎么找? 2569195
邀请新用户注册赠送积分活动 1526252
关于科研通互助平台的介绍 1485762