Evidence map›Paper›PMID 35023286›Full record

ArticleAging cell2022

Aging-related cell type-specific pathophysiologic immune responses that exacerbate disease severity in aged COVID-19 patients.

Yuan Hou, Yadi Zhou, Lara Jehi, Yuan Luo, Michaela U Gack, Timothy A Chan, Haiyuan Yu, Charis Eng, Andrew A Pieper, Feixiong Cheng

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2022. 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
2.5field-weighted citation impact, top 9% 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, 25 citations in OpenAlex.

  1. Article
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  7. Diverging patterns in innate immunity against respiratory viruses during a lifetime: lessons from the young and the old.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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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

10 authors at 4 institutions in 1 country.

Yuan HouGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Yadi ZhouGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Lara JehiQuantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Yuan LuoDivision of Health and Biomedical Informatics, Department of Preventive Medicine, Clinical and Translational Sciences Institute and Center for Health Information Partnerships, Northwestern University, Evanston, Illinois, USA.
Michaela U GackFlorida Research and Innovation Center, Cleveland Clinic, Port Saint Lucie, Florida, USA.
Timothy A ChanCenter for Immunotherapy and Precision Immuno-Oncology, Cleveland Clinic, Cleveland, Ohio, USA.
Haiyuan YuWeill Institute for Cell and Molecular Biology, Cornell University, Ithaca, New York, USA.
Charis EngGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Andrew A PieperHarrington Discovery Institute, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.
Feixiong ChengGenomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio, USA.ORCID 0000-0002-1736-2847
Cleveland Clinic Lerner College of Medicine · USCleveland Clinic · USCornell University · USNorthwestern University · US

Funding

THE IMPACT OF CELLULAR DEFENSE ON THE ROLE OF Ku80 IN GENOME MAINTENANCE AND LONGP01AG017242 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR SAN ANT · PI VIJG, JAN · 1999 to 2023
$46.1M
Translational and Therapeutics CoreP30AG072959 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI JAGAN AYYAPPAN PILLAI · 2021 to 2026
$23.9M
TOWARDS PRECISION IMMUNO-ONCOLOGY: UNRAVELING THE GENOMIC DETERMINANTS AND MECHANISMS UNDERLYING IMMUNOTHERAPY EFFICACY AND RESISTANCER35CA232097 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CHAN, TIMOTHY AN-THY · 2018 to 2024
$7.0M
Endophenotype Network-based Approaches to Prediction and Population-based Validation of In Silico Drug Repurposing for Alzheimer's DiseaseR01AG066707 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI Feixiong Cheng · 2020 to 2026
$4.9M
Alzheimer's MultiOme Data Repurposing: Artificial Intelligence, Network Medicine, and Therapeutics DiscoveryU01AG073323 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2025
$4.0M
A Nomogram to Predict Seizure Outcomes After Resective Epilepsy SurgeryR01NS097719 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI JEHI, LARA · 2017 to 2021
$3.6M
Multimodal single-cell genomic and epigenomic analyses elucidate Alzheimer’s sexual dimorphism in human immune systems agingR56AG074001 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN, CHENG, FEIXIONG · 2021 to 2021
$1.2M
An individualized network medicine infrastructure for precision cardio-oncologyR00HL138272 · NHLBI · CLEVELAND CLINIC LERNER COM-CWRU · PI CHENG, FEIXIONG · 2018 to 2020
$747k
Peripheral TREM2 Epigenetics and the Immune Response in Neurodegenerative DisordersR56AG063870 · NIA · CLEVELAND CLINIC LERNER COM-CWRU · PI BEKRIS, LYNN · 2019 to 2019
$738k
National Institute of Aging 3R01AG066707-01S1National Institute of Aging 3R01AG066707-02S1National Institute of Aging R01AG066707National Institute of Aging R56AG063870National Institute of Aging U01AG073323NCI NIH HHS R35 CA232097NHLBI NIH HHS R00 HL138272NHLBI NIH HHS R00HL138272NIA NIH HHS P01 AG017242NIA NIH HHS P30 AG072959NIA NIH HHS R01 AG066707NIA NIH HHS R56 AG063870NIA NIH HHS R56 AG074001NIA NIH HHS U01 AG073323NINDS NIH HHS R01 NS097719
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is especially severe in aged patients, defined as 65 years or older, for reasons that are currently unknown. To investigate the underlying basis for this vulnerability, we performed multimodal data analyses on immunity, inflammation, and COVID-19 incidence and severity as a function of age. Our analysis leveraged age-specific COVID-19 mortality and laboratory testing from a large COVID-19 registry, along with epidemiological data of ~3.4 million individuals, large-scale deep immune cell profiling data, and single-cell RNA-sequencing data from aged COVID-19 patients across diverse populations. We found that decreased lymphocyte count and elevated inflammatory markers (C-reactive protein, D-dimer, and neutrophil-lymphocyte ratio) are significantly associated with age-specific COVID-19 severities. We identified the reduced abundance of naïve CD8 T cells with decreased expression of antiviral defense genes (i.e., IFITM3 and TRIM22) in aged severe COVID-19 patients. Older individuals with severe COVID-19 displayed type I and II interferon deficiencies, which is correlated with SARS-CoV-2 viral load. Elevated expression of SARS-CoV-2 entry factors and reduced expression of antiviral defense genes (LY6E and IFNAR1) in the secretory cells are associated with critical COVID-19 in aged individuals. Mechanistically, we identified strong TGF-beta-mediated immune-epithelial cell interactions (i.e., secretory-non-resident macrophages) in aged individuals with critical COVID-19. Taken together, our findings point to immuno-inflammatory factors that could be targeted therapeutically to reduce morbidity and mortality in aged COVID-19 patients.

Indexed as

AgingInflammationSeverity of Illness IndexAdolescentAdultAgedCD8-Positive T-LymphocytesCell CommunicationCOVID-19Epithelial CellsFemaleHumansImmune SystemInterferonsLeukocytes, MononuclearMaleInterferonsagingcellular immunologyCOVID-19molecular biology of agingSARS-CoV-2

Identifiers

PMID35023286
PMCPMC8844132
OpenAlexW4205418703

What OpenQuestion holds

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LicenceCC BY
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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.