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

• Published in: Advances in therapy Vol. 40; no. 4; pp. 1590 - 1600
• Main Authors: Mu, Yan-Fei, Wang, Qian, Hu, Jing-Xi, Wang, Qi, Zhang, Yao-Chen, Fan, Ke-Yi, Han, Zi-Yi, Zhang, He-Yi, Cheng, Ting, Zhao, Rong, Song, Shan, Qiao, Jun, Zhang, Sheng-Xiao, Wang, Cai-Hong
• Format: Journal Article
• Language: English
• Published: Cheshire Springer Healthcare 01.04.2023
• Subjects: Cardiology; Causality; Databases, Factual; Endocrinology; Humans; Internal Medicine; Medicine; Medicine & Public Health; Odds Ratio; Oncology; Original Research; Pharmacology/Toxicology; Polymorphism, Single Nucleotide; Rheumatic Fever - genetics; Rheumatology; Sirolimus; TOR Serine-Threonine Kinases; Mammalian target of rapamycin (mTOR); Mendelian randomization; Single nucleotide polymorphism; Rheumatic fever; Risk factor
• ISSN: 0741-238X; 1865-8652
• DOI: 10.1007/s12325-022-02419-4

Background The 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. Methods The 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. Results RP-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). Conclusion MR 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.