Association between red blood cell indices and non-alcoholic fatty liver disease: Prospective study and two-sample Mendelian randomization analysis based on large cohorts

医学 孟德尔随机化 脂肪肝 内科学 前瞻性队列研究 酒精性肝病 疾病 胃肠病学 遗传学 基因型 基因 肝硬化 遗传变异 生物
作者
Rui-ning Li,Qi-mei Li,Sheng-Xing Liang,Chang Hong,Rongfeng Zhang,J. Wang,Hongbo Zhu,Hao Cui,Jingzhe He,Yan Li,Xuejing Zou,Wenyuan Li,Lin Zeng,Liu Li,Lushan Xiao
出处
期刊:Annals of Hepatology [Elsevier BV]
卷期号:: 101775-101775
标识
DOI:10.1016/j.aohep.2025.101775
摘要

Non-alcoholic fatty liver disease (NAFLD) is the primary contributor to persistent chronic liver disease which derives cardiovascular disease, malignancies, and related mortality. There is an association between red blood cell (RBC) indices and the incidence of NAFLD, but the causal relationship has not been determined. We aimed to investigate the association through prospective and Mendelian randomization (MR) analyses. The prospective study involved 237,016 participants from the UK Biobank. We employed Cox proportional hazard models and restricted cubic spline models to assess the association between RBC index and NAFLD, and used two-sample MR analysis to identify any causality. Over a mean follow-up of 8.64 years, 2,894 participants from UK Biobank developed NAFLD. The prospective study showed significant associations between high levels of hemoglobin (HGB) (hazard ratio [HR], 1.41; 95% confidence intervals [CI] 1.24-1.60; P < 0.001), RBC count (HR, 1.20; 95% CI, 1.07-1.36; P=0.003) and an increased risk of NAFLD. MR analysis indicated a causal relationship between high HGB levels and NAFLD risk (Odds ratio [OR], 1.55; 95% CI, 1.11-2.18; P=0.010). However, there was no observed causal relationship between RBC count and NAFLD. This prospective and MR analysis demonstrated a positive causal relationship between HGB levels and NAFLD. HGB can predict the risk of NAFLD, which can potentially be used as a large-scale non-invasive tool to dynamically monitor the occurrence and development of NAFLD.
最长约 10秒,即可获得该文献文件

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
卿卿发布了新的文献求助10
2秒前
yao完成签到,获得积分10
2秒前
2秒前
wsx4321应助jin采纳,获得20
3秒前
Graziella发布了新的文献求助10
3秒前
3秒前
现代的bb发布了新的文献求助10
3秒前
Muller完成签到,获得积分10
4秒前
炒面发布了新的文献求助10
4秒前
4秒前
Jasper应助qianshu采纳,获得30
5秒前
5秒前
6秒前
6秒前
6秒前
科目三应助忐忑的阑香采纳,获得10
7秒前
羽翼发布了新的文献求助10
7秒前
碧蓝飞鸟完成签到 ,获得积分10
7秒前
仿真小学生应助王晨昕采纳,获得30
7秒前
jgs完成签到,获得积分10
7秒前
7秒前
个性的迎夏完成签到,获得积分10
8秒前
1111111完成签到,获得积分10
8秒前
刘吉瀚完成签到,获得积分20
9秒前
9秒前
CipherSage应助YQ采纳,获得10
9秒前
Graziella完成签到,获得积分10
9秒前
晶生完成签到,获得积分10
9秒前
Young完成签到 ,获得积分10
9秒前
科研通AI5应助活泼的雁玉采纳,获得10
9秒前
9秒前
如意以晴完成签到,获得积分10
10秒前
10秒前
jackycas发布了新的文献求助10
10秒前
doctor_loong发布了新的文献求助10
11秒前
11秒前
搜集达人应助科研通管家采纳,获得10
11秒前
Hello应助科研通管家采纳,获得10
11秒前
11秒前
宇噢噢噢噢完成签到,获得积分10
11秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Topophrenia: Place, Narrative, and the Spatial Imagination 200
Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (3rd Edition) 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834587
求助须知:如何正确求助?哪些是违规求助? 3377081
关于积分的说明 10496404
捐赠科研通 3096557
什么是DOI,文献DOI怎么找? 1705041
邀请新用户注册赠送积分活动 820414
科研通“疑难数据库(出版商)”最低求助积分说明 772031