Evidence map›Paper›PMID 35275061›Full record

Observational studyeLife2022

Innate lymphoid cells and COVID-19 severity in SARS-CoV-2 infection.

Noah J Silverstein, Yetao Wang, Zachary Manickas-Hill, Claudia Carbone, Ann Dauphin, Brittany P Boribong, Maggie Loiselle, Jameson Davis, Maureen M Leonard, Leticia Kuri-Cervantes and 8 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
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  12. Microbiota and Immunity during Respiratory Infections: Lung and Gut Affair.International journal of molecular sciences · 2024
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 1 country.

Noah J Silverstein *Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.ORCID 0000-0001-5688-9978
Yetao Wang *Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.
Zachary Manickas-HillMassachusetts Consortium on Pathogen Readiness, Boston, United States.
Claudia CarboneProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.
Ann DauphinProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.
Brittany P BoribongMassachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, United States.
Maggie LoiselleMassachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, United States.ORCID 0000-0002-1051-2072
Jameson DavisMassachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, United States.
Maureen M LeonardMassachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, United States.
Leticia Kuri-CervantesDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
MGH COVID-19 Collection & Processing Team
Nuala J MeyerDivision of Pulmonary and Critical Care Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States.
Michael R BettsDepartment of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.
Jonathan Z LiMassachusetts Consortium on Pathogen Readiness, Boston, United States.
Bruce D WalkerMassachusetts Consortium on Pathogen Readiness, Boston, United States.
Xu G YuMassachusetts Consortium on Pathogen Readiness, Boston, United States.
Lael M YonkerMassachusetts General Hospital, Mucosal Immunology and Biology Research Center, Boston, United States.
Jeremy LubanProgram in Molecular Medicine, University of Massachusetts Medical School, Worcester, United States.ORCID 0000-0001-5650-4054
University of Massachusetts Chan Medical School · USHarvard University · USUniversity of Pennsylvania · USBrigham and Women's Hospital · USMassachusetts General Hospital · USBroad Institute · USConcord Consortium · USHoward Hughes Medical Institute · US

Funding

The HUSH complex in HIV-1 latencyR37AI147868 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI JEREMY LUBAN · 2019 to 2026
$6.4M
Insight into the Ebola virus glycoprotein fusion mechanism gleaned from the 2013-2016 epidemic GP-A82V variantR01AI148784 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LUBAN, JEREMY · 2020 to 2024
$4.1M
Mechanistically Disentangling the Infected, Inflamed LungK08HL143183 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI YONKER, LAEL · 2018 to 2022
$869k
Mechanism of epigenetic inheritance in a mouse model of acute paternal stressF30HD100110 · NICHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SILVERSTEIN, NOAH JACOB · 2019 to 2022
$135k
NHLBI NIH HHS K08 HL143183NIAID NIH HHS R01 AI148784NIAID NIH HHS R37 AI147868NICHD NIH HHS F30 HD100110
6 · The paper itself

Abstract

Background: Risk of severe COVID-19 increases with age, is greater in males, and is associated with lymphopenia, but not with higher burden of SARS-CoV-2. It is unknown whether effects of age and sex on abundance of specific lymphoid subsets explain these correlations. Methods: Multiple regression was used to determine the relationship between abundance of specific blood lymphoid cell types, age, sex, requirement for hospitalization, duration of hospitalization, and elevation of blood markers of systemic inflammation, in adults hospitalized for severe COVID-19 (n = 40), treated for COVID-19 as outpatients (n = 51), and in uninfected controls (n = 86), as well as in children with COVID-19 (n = 19), recovering from COVID-19 (n = 14), MIS-C (n = 11), recovering from MIS-C (n = 7), and pediatric controls (n = 17). Results: This observational study found that the abundance of innate lymphoid cells (ILCs) decreases more than 7-fold over the human lifespan - T cell subsets decrease less than 2-fold - and is lower in males than in females. After accounting for effects of age and sex, ILCs, but not T cells, were lower in adults hospitalized with COVID-19, independent of lymphopenia. Among SARS-CoV-2-infected adults, the abundance of ILCs, but not of T cells, correlated inversely with odds and duration of hospitalization, and with severity of inflammation. ILCs were also uniquely decreased in pediatric COVID-19 and the numbers of these cells did not recover during follow-up. In contrast, children with MIS-C had depletion of both ILCs and T cells, and both cell types increased during follow-up. In both pediatric COVID-19 and MIS-C, ILC abundance correlated inversely with inflammation. Blood ILC mRNA and phenotype tracked closely with ILCs from lung. Importantly, blood ILCs produced amphiregulin, a protein implicated in disease tolerance and tissue homeostasis. Among controls, the percentage of ILCs that produced amphiregulin was higher in females than in males, and people hospitalized with COVID-19 had a lower percentage of ILCs that produced amphiregulin than did controls. Conclusions: These results suggest that, by promoting disease tolerance, homeostatic ILCs decrease morbidity and mortality associated with SARS-CoV-2 infection, and that lower ILC abundance contributes to increased COVID-19 severity with age and in males. Funding: This work was supported in part by the Massachusetts Consortium for Pathogen Readiness and NIH grants R37AI147868, R01AI148784, F30HD100110, 5K08HL143183.

Indexed as

COVID-19LymphopeniaAmphiregulinChildFemaleHumansImmunity, InnateInflammationMaleSARS-CoV-2Systemic Inflammatory Response SyndromeT-Lymphocyte SubsetsAmphiregulinamphiregulinCOVID-19disease tolerancehumanimmunologyinflammationinnate lymphoid cellsmedicineMIS-CSARS-CoV-2

Identifiers

PMID35275061
PMCPMC9038195
OpenAlexW4220862930

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.