Evidence map›Paper›PMID 35440567›Full record

ArticleNature communications2022

Accelerated biological aging in COVID-19 patients.

Xue Cao, Wenjuan Li, Ting Wang, Dongzhi Ran, Veronica Davalos, Laura Planas-Serra, Aurora Pujol, Manel Esteller, Xiaolin Wang, Huichuan Yu

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 3 pooled it
21.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

128 citing papers in PubMed, 3 syntheses or guidelines pooled it, 217 citations in OpenAlex.

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  14. Negative social ties as emerging risk factors for accelerated aging, inflammation, and multimorbidity.Proceedings of the National Academy of Sciences of the United States of America · 2026
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68 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 3 countries.

Xue CaoDepartment of Oncology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
Wenjuan LiDepartment of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Ting WangResearch & Development, Thermo Fisher Scientific Inc., Los Angeles, CA, USA.
Dongzhi RanDepartment of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA.
Veronica DavalosJosep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain.
Laura Planas-SerraNeurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.
Aurora PujolNeurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.ORCID 0000-0002-9606-0600
Manel EstellerJosep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain.ORCID 0000-0003-4490-6093
Xiaolin WangGuangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Huichuan YuGuangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. yuhch5@mail.sysu.edu.cn.ORCID 0000-0001-8357-1615
Sun Yat-sen University · CNInstitució Catalana de Recerca i Estudis Avançats · ESInstituto de Salud Carlos III · ESJosep Carreras Leukaemia Research Institute · ESThermo Fisher Scientific (United States) · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19AgingDNA MethylationEpigenesis, GeneticHumansPost-Acute COVID-19 SyndromeSARS-CoV-2

Identifiers

PMID35440567
PMCPMC9018863
OpenAlexW4224245553

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.