Plasma FSTL-1 as a noninvasive diagnostic biomarker for patients with advanced liver fibrosis

医学 肝纤维化 内科学 纤维化 胃肠病学 生物标志物 诊断生物标志物 病理 化学 诊断准确性 生物化学
作者
Wenzhu Li,Yongquan Chi,Xuan Xiao,Junda Li,Mingmin Sun,Song Yung Sun,Wei Xu,Long Zhang,Xiaoguo Li,Feng Cheng,Xiaolong Qi,Jianhua Rao
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:82 (3): 669-682 被引量:12
标识
DOI:10.1097/hep.0000000000001167
摘要

Background and Aims: Reliable novel noninvasive biomarkers for the diagnosis of advanced liver fibrosis are urgently needed in clinical practice. We aimed to investigate the accuracy of plasma Follistatin-like protein 1 (FSTL-1) in the diagnosis of advanced liver fibrosis in chronic liver diseases. Approach and Results: We collected cross-sectional clinical data for a derivation cohort (n = 86) and a validation cohort (n = 431), totaling 517 subjects with liver biopsy. Advanced liver fibrosis was defined by the METAVIR pathological score (F ≥3). Dual cutoff values for diagnosis were explored. In the derivation cohort, plasma FSTL-1 levels were significantly elevated in patients with advanced liver fibrosis, with an AUROC of 0.85 (95% CI, 0.75–0.96). In the validation cohort, plasma FSTL-1 maintained good diagnostic performance, with an AUROC of 0.88 (95% CI, 0.83–0.92). Plasma FSTL-1 levels were significantly associated with individual histological features of the METAVIR scoring system, including interface hepatitis, lobular necrosis, and hepatocellular ballooning ( p < 0.0001). A cutoff value ≤ 0.43 ng/mL was the optimal rule-out threshold, with a sensitivity of 84.62% (95% CI, 76.46%–90.30%) and a specificity of 79.51% (95% CI, 74.81%–83.53%), while ≥0.50 ng/mL was the best rule-in threshold, with a specificity of 86.41% (95% CI, 81.06%–90.43%) and a sensitivity of 70.67% (95% CI, 64.41%–76.23%). Conclusions: Plasma FSTL-1 has high diagnostic accuracy and could potentially reduce the need for liver biopsy in identifying patients with advanced liver fibrosis.
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
刚刚
张秀玲给张秀玲的求助进行了留言
1秒前
dijla发布了新的文献求助10
1秒前
爆米花应助太阳博士采纳,获得10
1秒前
1秒前
2秒前
锅巴发布了新的文献求助10
3秒前
4秒前
初景应助oi小八采纳,获得20
4秒前
cgliuhx完成签到,获得积分10
4秒前
5秒前
小马甲应助pengpeng采纳,获得10
6秒前
瘦瘦海豚完成签到 ,获得积分10
8秒前
1314526完成签到,获得积分10
9秒前
大模型应助太叔文博采纳,获得10
10秒前
11秒前
玲儿完成签到 ,获得积分10
11秒前
yqq关注了科研通微信公众号
11秒前
Fire完成签到 ,获得积分10
11秒前
念夏完成签到 ,获得积分10
11秒前
12秒前
栗子完成签到 ,获得积分20
12秒前
科研通AI6.2应助yc采纳,获得10
12秒前
科研通AI6.4应助元锦程采纳,获得10
13秒前
安子发布了新的文献求助10
13秒前
15秒前
CYJ完成签到 ,获得积分10
18秒前
18秒前
19秒前
852应助任性的冰露采纳,获得10
20秒前
sunsold完成签到,获得积分10
20秒前
21秒前
Niko完成签到,获得积分10
21秒前
槛外土馒头发布了新的文献求助150
21秒前
22秒前
fattyorange完成签到,获得积分10
22秒前
太阳博士发布了新的文献求助10
22秒前
23秒前
24秒前
尽欢发布了新的文献求助10
24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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7753813
求助须知:如何正确求助?哪些是违规求助? 9300542
关于积分的说明 20257909
捐赠科研通 7336227
什么是DOI,文献DOI怎么找? 3310582
关于科研通互助平台的介绍 2461826
邀请新用户注册赠送积分活动 2323701