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
麦田发布了新的文献求助10
刚刚
江桦笙完成签到,获得积分10
刚刚
zhihaiyu应助蜀安采纳,获得600
刚刚
可爱的函函应助花椒采纳,获得10
1秒前
1秒前
1秒前
小小小珂卿完成签到,获得积分10
1秒前
1秒前
nidie发布了新的文献求助10
2秒前
百甲发布了新的文献求助20
2秒前
GPTea应助周杰采纳,获得20
2秒前
雪白以亦发布了新的文献求助10
2秒前
MingJin发布了新的文献求助10
2秒前
2秒前
Letitia完成签到,获得积分10
3秒前
地球发布了新的文献求助10
3秒前
无情南琴发布了新的文献求助10
3秒前
4秒前
华仔应助Winnie采纳,获得10
4秒前
刘羽萱完成签到,获得积分10
4秒前
毛毛发布了新的文献求助20
5秒前
5秒前
6秒前
6秒前
华仔应助钴蓝采纳,获得10
7秒前
十七完成签到,获得积分10
7秒前
轻松凌柏发布了新的文献求助10
8秒前
8秒前
香蕉觅云应助Liadon采纳,获得20
8秒前
pokexuejiao发布了新的文献求助30
8秒前
科研通AI6.2应助LF采纳,获得10
9秒前
桐桐应助地球采纳,获得10
9秒前
脑洞疼应助猫的报恩采纳,获得10
9秒前
田様应助信号灯采纳,获得10
9秒前
开放的猫咪完成签到,获得积分10
9秒前
辰熙应助小次之山采纳,获得10
9秒前
王威发布了新的文献求助10
9秒前
橘x应助典雅的无颜采纳,获得30
9秒前
小郭应助Culto采纳,获得10
10秒前
豆沙包完成签到 ,获得积分10
10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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Digital Twins of Advanced Materials Processing 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6039165
求助须知:如何正确求助?哪些是违规求助? 7768190
关于积分的说明 16225280
捐赠科研通 5185123
什么是DOI,文献DOI怎么找? 2774855
邀请新用户注册赠送积分活动 1757689
关于科研通互助平台的介绍 1641880