Evidence map›Paper›PMID 37212950›Full record

ArticleCardiovascular drugs and therapy2024

Novel Drug Targets for Atrial Fibrillation Identified Through Mendelian Randomization Analysis of the Blood Proteome.

Zuodong Ning, Yunying Huang, Haocheng Lu, Yong Zhou, Tao Tu, Feifan Ouyang, Yaozhong Liu, Qiming Liu

Abstract read
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Article in Cardiovascular drugs and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Zuodong Ning *Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Yunying Huang *Department of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Haocheng LuDepartment of Pharmacology, Southern University of Science and Technology, Guangdong, China.
Yong ZhouDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Tao TuDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China.
Feifan OuyangDepartment of Cardiology, Asklepios Klinik St. Georg, Hamburg, Germany.
Yaozhong LiuDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China. yaozhongliu@csu.edu.cn.
Qiming LiuDepartment of Cardiovascular Medicine, Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, 410011, Hunan, China. qimingliu@csu.edu.cn.ORCID 0000-0002-5213-2668

Funding

Hunan Province Innovative Project 2020SK1013National Natural Science Foundation of China 82070356Natural Science Foundation of Hunan Province 2021JJ30033Natural Science Foundation of Hunan Province 2021JJ40870
6 · The paper itself

Abstract

purposeNovel, effective, and safe preventive therapy targets for AF are still needed. Circulating proteins with causal genetic evidence are promising candidates. We aimed to systematically screen circulating proteins for AF drug targets and determine their safety and efficacy using genetic methods.

methodsThe protein quantitative trait loci (pQTL) of up to 1949 circulating proteins were retrieved from nine large genome-proteome-wide association studies. Two-sample Mendelian Randomization (MR) and colocalization analyses were used to estimate the causal effects of proteins on the risk of AF. Furthermore, phenome-wide MR was conducted to depict side effects and the drug-target databases were searched for drug validation and repurposing.

resultsSystematic MR screen identified 30 proteins as promising AF drug targets. Genetically predicted 12 proteins increased AF risk (TES, CFL2, MTHFD1, RAB1A, DUSP13, SRL, ANXA4, NEO1, FKBP7, SPON1, LPA, MANBA); 18 proteins decreased AF risk (PMVK, UBE2F, SYT11, CHMP3, PFKM, FBP1, TNFSF12, CTSZ, QSOX2, ALAD, EFEMP1, FLRT2, LRIG1, OLA1, SH3BGRL3, IL6R, B3GNT8, FCGR2A). DUSP13 and TNFSF12 possess strong colocalization evidence. For the proteins that were identified, extended phe-MR analysis was conducted to assess their side-effect profiles, while drug-target databases provided information on their approved or investigated indications.

conclusionWe identified 30 circulating proteins as potential preventive targets for AF.

Indexed as

Atrial FibrillationGenome-Wide Association StudyMendelian Randomization AnalysisProteomeQuantitative Trait LociBlood ProteinsGenetic Predisposition to DiseaseHumansProteomicsBlood ProteinsProteomeAtrial fibrillationCirculating proteinsDrug targetsMendelian randomization analysis

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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.