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Accelerated biological aging in COVID-19 patients.
Cao, Xue; Li, Wenjuan; Wang, Ting; Ran, Dongzhi; Davalos, Veronica; Planas-Serra, Laura; Pujol, Aurora; Esteller, Manel; Wang, Xiaolin; Yu, Huichuan.
  • Cao X; Department of Oncology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
  • Li W; Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Wang T; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Ran D; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Davalos V; Research & Development, Thermo Fisher Scientific Inc., Los Angeles, CA, USA.
  • Planas-Serra L; Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA.
  • Pujol A; Key Laboratory of Biochemistry and Molecular Pharmacology, Department of Pharmacology, Chongqing Medical University, Chongqing, China.
  • Esteller M; Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain.
  • Wang X; Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.
  • Yu H; Center for Biomedical Research on Rare Diseases (CIBERER), ISCIII, Madrid, Spain.
Nat Commun ; 13(1): 2135, 2022 04 19.
Article in English | MEDLINE | ID: covidwho-1805610
ABSTRACT
Chronological age is a risk factor for SARS-CoV-2 infection and severe COVID-19. Previous findings indicate that epigenetic age could be altered in viral infection. However, the epigenetic aging in COVID-19 has not been well studied. In this study, DNA methylation of the blood samples from 232 healthy individuals and 413 COVID-19 patients is profiled using EPIC methylation array. Epigenetic ages of each individual are determined by applying epigenetic clocks and telomere length estimator to the methylation profile of the individual. Epigenetic age acceleration is calculated and compared between groups. We observe strong correlations between the epigenetic clocks and individual's chronological age (r > 0.8, p < 0.0001). We also find the increasing acceleration of epigenetic aging and telomere attrition in the sequential blood samples from healthy individuals and infected patients developing non-severe and severe COVID-19. In addition, the longitudinal DNA methylation profiling analysis find that the accumulation of epigenetic aging from COVID-19 syndrome could be partly reversed at late clinic phases in some patients. In conclusion, accelerated epigenetic aging is associated with the risk of SARS-CoV-2 infection and developing severe COVID-19. In addition, the accumulation of epigenetic aging from COVID-19 may contribute to the post-COVID-19 syndrome among survivors.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2022 Document Type: Article Affiliation country: S41467-022-29801-8

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Humans Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2022 Document Type: Article Affiliation country: S41467-022-29801-8