Genetically predicted high IGF-1 levels showed protective effects on COVID-19 susceptibility and hospitalization: a Mendelian randomisation study with data from 60 studies across 25 countries

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Genetically predicted high IGF-1 levels showed protective effects on COVID-19 susceptibility and hospitalization : a Mendelian randomisation study with data from 60 studies across 25 countries

Li, Xinxuan (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Zhou, Yajing (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Yuan, Shuai (författare): Karolinska Institutet

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Zhou, Xuan (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Wang, Lijuan (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Sun, Jing (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Yu, Lili (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Zhu, Jinghan (författare): Southern Med Univ, Sch Clin Med 2, Guangzhou, Peoples R China.

Zhang, Han (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Yang, Nan (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Dai, Shuhui (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Song, Peige (författare): Zhejiang Univ Sch Med, Womens Hosp, Sch Publ Hlth, Hangzhou, Peoples R China.

Larsson, Susanna C. (författare): Karolinska Institutet,Uppsala universitet,Medicinsk epidemiologi,Karolinska Inst, Inst Environm Med, Unit Cardiovasc & Nutr Epidemiol, Stockholm, Sweden.

Theodoratou, Evropi (författare): Univ Edinburgh, Usher Inst, Ctr Global Hlth, Edinburgh, Scotland.;Univ Edinburgh, Med Res Council Inst Genet & Canc, Canc Res UK Edinburgh Ctr, Edinburgh, Scotland.

Zhu, Yiming (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Li, Xue (författare): Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China.

Giamarellos-Bourboulis, Evangelos J. (författare)

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Karolinska Institutet Zhejiang Univ Sch Med, Affiliated Hosp 2, Ctr Clin Big Data & Analyt, Dept Big Data Hlth Sci Sch Publ Hlth, Hangzhou, Peoples R China (creator_code:org_t)

eLife Sciences Publications Ltd, 2022
2022
Engelska.
Ingår i: eLIFE. - : eLife Sciences Publications Ltd. - 2050-084X. ; 11

Relaterad länk:: https://doi.org/10.7...; visa fler...; https://uu.diva-port... (primary) (Raw object); https://urn.kb.se/re...; https://doi.org/10.7...; http://kipublication...; visa färre...

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Background: Epidemiological studies observed gender differences in COVID-19 outcomes, however, whether sex hormone plays a causal in COVID-19 risk remains unclear. This study aimed to examine associations of sex hormone, sex hormones-binding globulin (SHBG), insulin-like growth factor-1 (IGF-1), and COVID-19 risk. Methods: Two-sample Mendelian randomization (TSMR) study was performed to explore the causal associations between testosterone, estrogen, SHBG, IGF-1, and the risk of COVID-19 (susceptibility, hospitalization, and severity) using genome-wide association study (GWAS) summary level data from the COVID-19 Host Genetics Initiative (N=1,348,701). Random-effects inverse variance weighted (IVW) MR approach was used as the primary MR method and the weighted median, MR-Egger, and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test were conducted as sensitivity analyses. Results: Higher genetically predicted IGF-1 levels have nominally significant association with reduced risk of COVID-19 susceptibility and hospitalization. For one standard deviation increase in genetically predicted IGF-1 levels, the odds ratio was 0.77 (95% confidence interval [CI], 0.61-0.97, p=0.027) for COVID-19 susceptibility, 0.62 (95% CI: 0.25-0.51, p=0.018) for COVID-19 hospitalization, and 0.85 (95% CI: 0.52-1.38, p=0.513) for COVID-19 severity. There was no evidence that testosterone, estrogen, and SHBG are associated with the risk of COVID-19 susceptibility, hospitalization, and severity in either overall or sex-stratified TSMR analysis. Conclusions: Our study indicated that genetically predicted high IGF-1 levels were associated with decrease the risk of COVID-19 susceptibility and hospitalization, but these associations did not survive the Bonferroni correction of multiple testing. Further studies are needed to validate the findings and explore whether IGF-1 could be a potential intervention target to reduce COVID-19 risk.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

sex hormones
IGF-1
COVID-19
Mendelian randomization
Viruses

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Av författaren/redakt...: Li, Xinxuan; Zhou, Yajing; Yuan, Shuai; Zhou, Xuan; Wang, Lijuan; Sun, Jing; visa fler...; Yu, Lili; Zhu, Jinghan; Zhang, Han; Yang, Nan; Dai, Shuhui; Song, Peige; Larsson, Susanna ...; Theodoratou, Evr ...; Zhu, Yiming; Li, Xue; Giamarellos-Bour ...; visa färre...

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