Cargando…
Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China
BACKGROUND: Mitochondria have been shown to play vital roles during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) development. Currently, it is unclear whether mitochondrial DNA (mtDNA) variants, which define mtDNA haplogroups and dete...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558762/ https://www.ncbi.nlm.nih.gov/pubmed/34724985 http://dx.doi.org/10.1186/s40779-021-00351-2 |
_version_ | 1784592629283946496 |
---|---|
author | Wu, Yi Wang, Xian-Hui Li, Xi-Hua Song, Li-Yuan Yu, Shi-Long Fang, Zhi-Cheng Liu, Yu-Quan Yuan, Le-Yong Peng, Chun-Yan Zhang, Shen-Yi Cheng, Wang Ma, Hong-Chao Wang, Li-Feng Tang, Jun-Ming Wang, Yun-Fu Ji, Fu-Yun |
author_facet | Wu, Yi Wang, Xian-Hui Li, Xi-Hua Song, Li-Yuan Yu, Shi-Long Fang, Zhi-Cheng Liu, Yu-Quan Yuan, Le-Yong Peng, Chun-Yan Zhang, Shen-Yi Cheng, Wang Ma, Hong-Chao Wang, Li-Feng Tang, Jun-Ming Wang, Yun-Fu Ji, Fu-Yun |
author_sort | Wu, Yi |
collection | PubMed |
description | BACKGROUND: Mitochondria have been shown to play vital roles during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) development. Currently, it is unclear whether mitochondrial DNA (mtDNA) variants, which define mtDNA haplogroups and determine oxidative phosphorylation performance and reactive oxygen species production, are associated with COVID-19 risk. METHODS: A population-based case–control study was conducted to compare the distribution of mtDNA variations defining mtDNA haplogroups between healthy controls (n = 615) and COVID-19 patients (n = 536). COVID-19 patients were diagnosed based on molecular diagnostics of the viral genome by qPCR and chest X-ray or computed tomography scanning. The exclusion criteria for the healthy controls were any history of disease in the month preceding the study assessment. MtDNA variants defining mtDNA haplogroups were identified by PCR-RFLPs and HVS-I sequencing and determined based on mtDNA phylogenetic analysis using Mitomap Phylogeny. Student’s t-test was used for continuous variables, and Pearson’s chi-squared test or Fisher’s exact test was used for categorical variables. To assess the independent effect of each mtDNA variant defining mtDNA haplogroups, multivariate logistic regression analyses were performed to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) with adjustments for possible confounding factors of age, sex, smoking and diseases (including cardiopulmonary diseases, diabetes, obesity and hypertension) as determined through clinical and radiographic examinations. RESULTS: Multivariate logistic regression analyses revealed that the most common investigated mtDNA variations (> 10% in the control population) at C5178a (in NADH dehydrogenase subunit 2 gene, ND2) and A249d (in the displacement loop region, D-loop)/T6392C (in cytochrome c oxidase I gene, CO1)/G10310A (in ND3) were associated with a reduced risk of severe COVID-19 (OR = 0.590, 95% CI 0.428–0.814, P = 0.001; and OR = 0.654, 95% CI 0.457–0.936, P = 0.020, respectively), while A4833G (ND2), A4715G (ND2), T3394C (ND1) and G5417A (ND2)/C16257a (D-loop)/C16261T (D-loop) were related to an increased risk of severe COVID-19 (OR = 2.336, 95% CI 1.179–4.608, P = 0.015; OR = 2.033, 95% CI 1.242–3.322, P = 0.005; OR = 3.040, 95% CI 1.522–6.061, P = 0.002; and OR = 2.890, 95% CI 1.199–6.993, P = 0.018, respectively). CONCLUSIONS: This is the first study to explore the association of mtDNA variants with individual’s risk of developing severe COVID-19. Based on the case–control study, we concluded that the common mtDNA variants at C5178a and A249d/T6392C/G10310A might contribute to an individual’s resistance to developing severe COVID-19, whereas A4833G, A4715G, T3394C and G5417A/C16257a/C16261T might increase an individual’s risk of developing severe COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40779-021-00351-2. |
format | Online Article Text |
id | pubmed-8558762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85587622021-11-01 Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China Wu, Yi Wang, Xian-Hui Li, Xi-Hua Song, Li-Yuan Yu, Shi-Long Fang, Zhi-Cheng Liu, Yu-Quan Yuan, Le-Yong Peng, Chun-Yan Zhang, Shen-Yi Cheng, Wang Ma, Hong-Chao Wang, Li-Feng Tang, Jun-Ming Wang, Yun-Fu Ji, Fu-Yun Mil Med Res Research BACKGROUND: Mitochondria have been shown to play vital roles during severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) development. Currently, it is unclear whether mitochondrial DNA (mtDNA) variants, which define mtDNA haplogroups and determine oxidative phosphorylation performance and reactive oxygen species production, are associated with COVID-19 risk. METHODS: A population-based case–control study was conducted to compare the distribution of mtDNA variations defining mtDNA haplogroups between healthy controls (n = 615) and COVID-19 patients (n = 536). COVID-19 patients were diagnosed based on molecular diagnostics of the viral genome by qPCR and chest X-ray or computed tomography scanning. The exclusion criteria for the healthy controls were any history of disease in the month preceding the study assessment. MtDNA variants defining mtDNA haplogroups were identified by PCR-RFLPs and HVS-I sequencing and determined based on mtDNA phylogenetic analysis using Mitomap Phylogeny. Student’s t-test was used for continuous variables, and Pearson’s chi-squared test or Fisher’s exact test was used for categorical variables. To assess the independent effect of each mtDNA variant defining mtDNA haplogroups, multivariate logistic regression analyses were performed to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) with adjustments for possible confounding factors of age, sex, smoking and diseases (including cardiopulmonary diseases, diabetes, obesity and hypertension) as determined through clinical and radiographic examinations. RESULTS: Multivariate logistic regression analyses revealed that the most common investigated mtDNA variations (> 10% in the control population) at C5178a (in NADH dehydrogenase subunit 2 gene, ND2) and A249d (in the displacement loop region, D-loop)/T6392C (in cytochrome c oxidase I gene, CO1)/G10310A (in ND3) were associated with a reduced risk of severe COVID-19 (OR = 0.590, 95% CI 0.428–0.814, P = 0.001; and OR = 0.654, 95% CI 0.457–0.936, P = 0.020, respectively), while A4833G (ND2), A4715G (ND2), T3394C (ND1) and G5417A (ND2)/C16257a (D-loop)/C16261T (D-loop) were related to an increased risk of severe COVID-19 (OR = 2.336, 95% CI 1.179–4.608, P = 0.015; OR = 2.033, 95% CI 1.242–3.322, P = 0.005; OR = 3.040, 95% CI 1.522–6.061, P = 0.002; and OR = 2.890, 95% CI 1.199–6.993, P = 0.018, respectively). CONCLUSIONS: This is the first study to explore the association of mtDNA variants with individual’s risk of developing severe COVID-19. Based on the case–control study, we concluded that the common mtDNA variants at C5178a and A249d/T6392C/G10310A might contribute to an individual’s resistance to developing severe COVID-19, whereas A4833G, A4715G, T3394C and G5417A/C16257a/C16261T might increase an individual’s risk of developing severe COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40779-021-00351-2. BioMed Central 2021-11-01 /pmc/articles/PMC8558762/ /pubmed/34724985 http://dx.doi.org/10.1186/s40779-021-00351-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wu, Yi Wang, Xian-Hui Li, Xi-Hua Song, Li-Yuan Yu, Shi-Long Fang, Zhi-Cheng Liu, Yu-Quan Yuan, Le-Yong Peng, Chun-Yan Zhang, Shen-Yi Cheng, Wang Ma, Hong-Chao Wang, Li-Feng Tang, Jun-Ming Wang, Yun-Fu Ji, Fu-Yun Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title | Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title_full | Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title_fullStr | Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title_full_unstemmed | Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title_short | Common mtDNA variations at C5178a and A249d/T6392C/G10310A decrease the risk of severe COVID-19 in a Han Chinese population from Central China |
title_sort | common mtdna variations at c5178a and a249d/t6392c/g10310a decrease the risk of severe covid-19 in a han chinese population from central china |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8558762/ https://www.ncbi.nlm.nih.gov/pubmed/34724985 http://dx.doi.org/10.1186/s40779-021-00351-2 |
work_keys_str_mv | AT wuyi commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT wangxianhui commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT lixihua commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT songliyuan commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT yushilong commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT fangzhicheng commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT liuyuquan commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT yuanleyong commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT pengchunyan commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT zhangshenyi commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT chengwang commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT mahongchao commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT wanglifeng commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT tangjunming commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT wangyunfu commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina AT jifuyun commonmtdnavariationsatc5178aanda249dt6392cg10310adecreasetheriskofseverecovid19inahanchinesepopulationfromcentralchina |