Evidence map›Paper›PMID 36919946›Full record

ArticleMolecular systems biology2023

A methylation clock model of mild SARS-CoV-2 infection provides insight into immune dysregulation.

Weiguang Mao, Clare M Miller, Venugopalan D Nair, Yongchao Ge, Mary Anne S Amper, Antonio Cappuccio, Mary-Catherine George, Carl W Goforth, Kristy Guevara, Nada Marjanovic and 17 more

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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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

27 authors at 5 institutions in 1 country.

Weiguang MaoDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, PA, Pittsburgh, USA.ORCID 0000-0002-5288-4309
Clare M MillerDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Venugopalan D NairDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.ORCID 0000-0002-8231-6230
Yongchao GeDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Mary Anne S AmperDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Antonio CappuccioDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Mary-Catherine GeorgeDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Carl W GoforthNaval Medical Research Center, MD, Silver Spring, USA.
Kristy GuevaraDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Nada MarjanovicDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
German NudelmanDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Hanna PincasDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Irene RamosDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Rachel S G SealfonCenter for Computational Biology, Flatiron Institute, Simons Foundation, NY, New York, USA.
Alessandra Soares-SchanoskiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Sindhu VangetiDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.ORCID 0000-0003-3404-6878
Mital VasoyaDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.ORCID 0000-0002-3521-686X
Dawn L WeirNaval Medical Research Center, MD, Silver Spring, USA.ORCID 0000-0002-5653-8905
Elena ZaslavskyDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Biobank TeamPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Seunghee Kim-SchulzePrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Sacha GnjaticPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA.ORCID 0000-0001-5643-9520
Miriam MeradPrecision Immunology Institute, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Andrew G LetiziaNaval Medical Research Center, MD, Silver Spring, USA.ORCID 0000-0002-7361-5917
Olga G TroyanskayaCenter for Computational Biology, Flatiron Institute, Simons Foundation, NY, New York, USA.
Stuart C SealfonDepartment of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.ORCID 0000-0001-5791-1217
Maria ChikinaDepartment of Computational and Systems Biology, School of Medicine, University of Pittsburgh, PA, Pittsburgh, USA.
Icahn School of Medicine at Mount Sinai · USNaval Medical Research Command · USUniversity of Pittsburgh · USPrinceton University · USSimons Foundation · US

Funding

THE TISCH CANCER INSTITUTE - CANCER CENTER SUPPORT GRANTP30CA196521 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ramon E Parsons · 2015 to 2026
$35.4M
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
Title: Functional Annotation of Genomes via Phenotypic Convergence within Large Multi-species AlignmentsR01HG009299 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Maria D Chikina, Nathaniel L Clark · 2017 to 2026
$4.1M
Characterizing and predicting colitis in immune checkpoint blockade-treated cancer patientsU01DK124165 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COLOMBEL, JEAN-FREDERIC, FAITH, JEREMIAH JAMES · 2020 to 2024
$2.9M
PRIMAVO: Interactive exploration of cancer patient precision immune monitoring data in clinical trialsR33CA263705 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GUMUS, ZEYNEP HULYA · 2021 to 2021
$1.5M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
DEVELOPMENT OF PATIENT-DERIVED ANTHROPOMORPHIC BREAST PHANTOMS FOR AUTOMATED OBJECTIVE ASSESSMENT OF BREAST X-RAY IMAGING SYSTEMS75N91020C00055 · NCI · MALCOVA LLC · PI GHAZI, PEYMON · 2020 to 2020
$400k
NCI NIH HHS 75N91020C00055NCI NIH HHS P30 CA196521NCI NIH HHS R33 CA263705NCI NIH HHS U24 CA224319NHGRI NIH HHS R01 HG009299NIDDK NIH HHS U01 DK124165NIH HHS S10 OD028483
6 · The paper itself

Abstract

DNA methylation comprises a cumulative record of lifetime exposures superimposed on genetically determined markers. Little is known about methylation dynamics in humans following an acute perturbation, such as infection. We characterized the temporal trajectory of blood epigenetic remodeling in 133 participants in a prospective study of young adults before, during, and after asymptomatic and mildly symptomatic SARS-CoV-2 infection. The differential methylation caused by asymptomatic or mildly symptomatic infections was indistinguishable. While differential gene expression largely returned to baseline levels after the virus became undetectable, some differentially methylated sites persisted for months of follow-up, with a pattern resembling autoimmune or inflammatory disease. We leveraged these responses to construct methylation-based machine learning models that distinguished samples from pre-, during-, and postinfection time periods, and quantitatively predicted the time since infection. The clinical trajectory in the young adults and in a diverse cohort with more severe outcomes was predicted by the similarity of methylation before or early after SARS-CoV-2 infection to the model-defined postinfection state. Unlike the phenomenon of trained immunity, the postacute SARS-CoV-2 epigenetic landscape we identify is antiprotective.

Indexed as

COVID-19DNA MethylationHumansProspective StudiesProtein Processing, Post-TranslationalSARS-CoV-2Young AdultDNA methylationmachine learning modelSARS-CoV-2temporal dynamicstrained immunity

Identifiers

PMID36919946
PMCPMC10167476
OpenAlexW4324305992

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.