Evidence map›Paper›PMID 38061333›Full record

ArticleClinical and molecular hepatology2024

Protein-centric omics analysis reveals circulating complements linked to non-viral liver diseases as potential therapeutic targets.

Yingzhou Shi, Hang Dong, Shiwei Sun, Xiaoqin Wu, Jiansong Fang, Jianbo Zhao, Junming Han, Zongyue Li, Huixiao Wu, Luna Liu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and molecular hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 11 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 6 institutions in 3 countries.

Yingzhou ShiDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Hang DongDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Shiwei SunKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Xiaoqin WuNorthern Ohio Alcohol Center, Department of Inflammation and Immunity, Cleveland Clinic, Cleveland, OH, USA.
Jiansong FangScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jianbo ZhaoKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Junming HanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Zongyue LiKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Huixiao WuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Luna LiuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Wanhong WuKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Yang TianDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Guandou YuanDivision of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Xiude FanKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education; Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Chao XuDepartment of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.
Gene Therapy Laboratory · FRShandong University · CNCell Technology (China) · CNCleveland Clinic · USGuangxi Medical University · CNGuangzhou University of Chinese Medicine · CN

Funding

Role of MLKL in Alcohol-associated Liver DiseaseK99AA029146 · NIAAA · CLEVELAND CLINIC LERNER COM-CWRU · PI WU, XIAOQIN · 2021 to 2022
$341k
National Natural Science Foundation of China 82200659Natural Science Foundation of Shandong Province ZR20220H002NIAAA NIH HHS K99 AA029146
6 · The paper itself

Abstract

BACKGROUND/

aimsTo evaluate the causal correlation between complement components and non-viral liver diseases and their potential use as druggable targets.

methodsWe conducted Mendelian randomization (MR) to assess the causal role of circulating complements in the risk of non-viral liver diseases. A complement-centric protein interaction network was constructed to explore biological functions and identify potential therapeutic options.

resultsIn the MR analysis, genetically predicted levels of complement C1q C chain (C1QC) were positively associated with the risk of autoimmune hepatitis (odds ratio 1.125, 95% confidence interval 1.018-1.244), while complement factor H-related protein 5 (CFHR5) was positively associated with the risk of primary sclerosing cholangitis (PSC;1.193, 1.048- 1.357). On the other hand, CFHR1 (0.621, 0.497-0.776) and CFHR2 (0.824, 0.703-0.965) were inversely associated with the risk of alcohol-related cirrhosis. There were also significant inverse associations between C8 gamma chain (C8G) and PSC (0.832, 0.707-0.979), as well as the risk of metabolic dysfunction-associated steatotic liver disease (1.167, 1.036-1.314). Additionally, C1S (0.111, 0.018-0.672), C7 (1.631, 1.190-2.236), and CFHR2 (1.279, 1.059-1.546) were significantly associated with the risk of hepatocellular carcinoma. Proteins from the complement regulatory networks and various liver diseaserelated proteins share common biological processes. Furthermore, potential therapeutic drugs for various liver diseases were identified through drug repurposing based on the complement regulatory network.

conclusionOur study suggests that certain complement components, including C1S, C1QC, CFHR1, CFHR2, CFHR5, C7, and C8G, might play a role in non-viral liver diseases and could be potential targets for drug development.

Indexed as

Carcinoma, HepatocellularHepatitis, AutoimmuneLiver NeoplasmsHumansComplement system proteinsDrug repositioningLiver diseasesMendelian randomization analysis

Identifiers

PMID38061333
PMCPMC10776287
OpenAlexW4389455696

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.