دورية أكاديمية
The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study
| العنوان: | The impact of immunoglobulin G N-glycosylation level on COVID-19 outcome: evidence from a Mendelian randomization study |
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| المؤلفون: | Feiwu Long, Chenghan Xiao, Huijie Cui, Wei Wang, Zongze Jiang, Mingshuang Tang, Wenqiang Zhang, Yunjie Liu, Rong Xiang, Li Zhang, Xunying Zhao, Chao Yang, Peijing Yan, Xueyao Wu, Yutong Wang, Yanqiu Zhou, Ran Lu, Yulin Chen, Jiayuan Li, Xia Jiang, Chuanwen Fan, Ben Zhang |
| المصدر: | Frontiers in Immunology, Vol 14 (2023) |
| بيانات النشر: | Frontiers Media S.A., 2023. |
| سنة النشر: | 2023 |
| المجموعة: | LCC:Immunologic diseases. Allergy |
| مصطلحات موضوعية: | Mendelian randomization, COVID‐19, IgG N-glycosylation, causality, inflammation, Immunologic diseases. Allergy, RC581-607 |
| الوصف: | BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has exerted a profound influence on humans. Increasing evidence shows that immune response is crucial in influencing the risk of infection and disease severity. Observational studies suggest an association between COVID‐19 and immunoglobulin G (IgG) N-glycosylation traits, but the causal relevance of these traits in COVID-19 susceptibility and severity remains controversial.MethodsWe conducted a two-sample Mendelian randomization (MR) analysis to explore the causal association between 77 IgG N-glycosylation traits and COVID-19 susceptibility, hospitalization, and severity using summary-level data from genome-wide association studies (GWAS) and applying multiple methods including inverse-variance weighting (IVW), MR Egger, and weighted median. We also used Cochran’s Q statistic and leave-one-out analysis to detect heterogeneity across each single nucleotide polymorphism (SNP). Additionally, we used the MR-Egger intercept test, MR-PRESSO global test, and PhenoScanner tool to detect and remove SNPs with horizontal pleiotropy and to ensure the reliability of our results.ResultsWe found significant causal associations between genetically predicted IgG N-glycosylation traits and COVID-19 susceptibility, hospitalization, and severity. Specifically, we observed reduced risk of COVID-19 with the genetically predicted increased IgG N-glycan trait IGP45 (OR = 0.95, 95% CI = 0.92–0.98; FDR = 0.019). IGP22 and IGP30 were associated with a higher risk of COVID-19 hospitalization and severity. Two (IGP2 and IGP77) and five (IGP10, IGP14, IGP34, IGP36, and IGP50) IgG N-glycosylation traits were causally associated with a decreased risk of COVID-19 hospitalization and severity, respectively. Sensitivity analyses did not identify any horizontal pleiotropy.ConclusionsOur study provides evidence that genetically elevated IgG N-glycosylation traits may have a causal effect on diverse COVID-19 outcomes. Our findings have potential implications for developing targeted interventions to improve COVID-19 outcomes by modulating IgG N-glycosylation levels. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1664-3224 41119568 |
| Relation: | https://www.frontiersin.org/articles/10.3389/fimmu.2023.1217444/full; https://doaj.org/toc/1664-3224 |
| DOI: | 10.3389/fimmu.2023.1217444 |
| URL الوصول: | https://doaj.org/article/cbbfa2f5afbc41119568c4a8cf26a26d |
| رقم الأكسشن: | edsdoj.bbfa2f5afbc41119568c4a8cf26a26d |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 16643224 41119568 |
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| DOI: | 10.3389/fimmu.2023.1217444 |