Evidence map›Paper›PMID 36773079›Full record

ArticleAdvances in therapy2023

Genetic Evidence Supporting Causal Roles of mTOR-Dependent Proteins in Rheumatic Fever: A Two-Sample Randomized Mendelian Study.

Yan-Fei Mu, Qian Wang, Jing-Xi Hu, Qi Wang, Yao-Chen Zhang, Ke-Yi Fan, Zi-Yi Han, He-Yi Zhang, Ting Cheng, Rong Zhao and 4 more

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Article in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

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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

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0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Yan-Fei Mu *Department of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Qian Wang *Shanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
Jing-Xi HuShanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
Qi WangShanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
Yao-Chen ZhangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Ke-Yi FanShanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
Zi-Yi HanShanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
He-Yi ZhangShanxi Provincial Key Laboratory of Rheumatism Immune Microecology, Taiyuan, Shanxi Province, China.
Ting ChengDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Rong ZhaoDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Shan SongDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Jun QiaoDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Sheng-Xiao ZhangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China.
Cai-Hong WangDepartment of Rheumatology, The Second Hospital of Shanxi Medical University, Taiyuan, 030001, Shanxi Province, China. snwch@sina.com.
Shanxi Medical University · CNSecond Hospital of Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe expression of signaling molecules downstream of the mammalian target of rapamycin (mTOR) is dysregulated in patients with rheumatic fever (RF), but the causality of mTOR on RF remains unknown. This study aimed to investigate the causal effects of the mTOR-dependent proteins in RF.

methodsThe summary data for targets of the mTOR signaling were acquired from the publicly available INTERVAL study GWAS data. Data on RF have been obtained from the Integrated Epidemiology Unit GWAS database (38,209 cases and 156,711 healthy controls). A two-sample Mendelian randomization (MR) study was conducted to examine the association of RF risk and mTOR-dependent proteins (EIF4EBP2, EIF-4E, EIF-4G, EIF-4A, RP-S6K, and ATG7), including the inverse-variance weighted (IVW) method, MR-Egger, and weighted median, which was followed by sensitivity analyses.

resultsRP-S6K is associated with a lowered risk of RF with an odds ratio (OR) of 0.97, 95% confidence interval (95% CI) of 0.94-0.99 (p = 0.027). In contrast, ATG7 accounts for higher risk of RF with an OR of 1.05 (95% CI = 1.00-1.12, p = 0.047). No apparent heterogeneity and no horizontal pleiotropy were observed in the sensitivity analysis (p > 0.05). No statistical significance was identified for levels of EIF4A, EIF4G, EIF4E-BP2, and RP-S6K with RF risk (p > 0.05).

conclusionMR found robust evidence of a causal association between RF and mTOR. RP-S6K and ATG7 may be targeted for intervention by repurposing existing therapeutics to reduce the risk of RF.

Indexed as

Rheumatic FeverCausalityDatabases, FactualHumansOdds RatioPolymorphism, Single NucleotideSirolimusTOR Serine-Threonine KinasesMTOR protein, humanSirolimusTOR Serine-Threonine KinasesMammalian target of rapamycin (mTOR)Mendelian randomizationRheumatic feverRisk factorSingle nucleotide polymorphism

Identifiers

PMID36773079
OpenAlexW4320032831

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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.