Evidence map›Paper›PMID 39261869›Full record

ArticleJournal of orthopaedic surgery and research2024

Identification of novel drug targets for osteoarthritis by integrating genetics and proteomes from blood.

Shan Song, Jun Qiao, Rong Zhao, Yu-Jie Lu, Can Wang, Min-Jing Chang, He-Yi Zhang, Xiao-Feng Li, Cai-Hong Wang

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shan Song *Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Jun Qiao *Department of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Rong ZhaoDepartment of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Yu-Jie LuDepartment of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Can WangSchool of Management, Shanxi Medical University, Taiyuan, China.
Min-Jing ChangShanxi Key Laboratory of Big Data for Clinical Decision, Shanxi Medical University, Taiyuan, China.
He-Yi ZhangDepartment of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Xiao-Feng LiDepartment of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China.
Cai-Hong WangDepartment of Rheumatology, Second Hospital of Shanxi Medical University, Taiyuan, 030001, China. snwch@sina.com.

Funding

Four "Batches" Innovation Project of Invigorating Medical through Science and Technology of Shanxi Province 2022XM05Key Research and Development (R&D) Projects of Shanxi Province 201803D31119National Natural Science Foundation of China 81971543
6 · The paper itself

Abstract

backgroundOsteoarthritis (OA) is a degenerative osteoarticular disease, involving genetic predisposition. How the risk variants confer the risk of OA through their effects on proteins remains largely unknown. Therefore, we aimed to discover new and effective drug targets for OA and its subtypes.

methodsA proteome-wide association study (PWAS) was performed based on OA and its subtypes genome-wide association studies (GWAS) summary datasets and the protein quantitative trait loci (pQTL) data. Subsequently, Mendelian randomization (MR) and colocalization analysis was conducted to estimate the associations between protein and OA risk. The replication analysis was performed in an independent dataset of human plasma pQTL data.

resultsThe abundance of seven proteins was causally related to OA, two proteins to knee OA and six proteins to hip OA, respectively. We replicated 2 of these proteins using an independent pQTL dataset. With the further support of colocalization, and higher ECM1 level was causally associated with a higher risk of OA and hip OA. Higher PCSK1 level was causally associated with a lower risk of OA. And higher levels of ITIH1, EFEMP1, and ERLEC1 were associated with decreased risk of hip OA.

conclusionOur study provides new insights into the genetic component of protein abundance in OA and a promising therapeutic target for future drug development.

Indexed as

Genome-Wide Association StudyProteomeQuantitative Trait LociFemaleGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisMolecular Targeted TherapyOsteoarthritisOsteoarthritis, HipOsteoarthritis, KneeProteomeColocalizationMendelian randomizationOsteoarthritisProteomicsTherapeutic target

Identifiers

PMID39261869
PMCPMC11389225

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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.