Evidence map›Paper›PMID 41737204›Full record

ArticleFrontiers in immunology2026

Age-driven shifts in T and NK cell responses amplify inflammation and coagulopathy during viral infection in mice and humans.

Craig P Collins, Cordelia Dunai, Logan V Vick, Lam T Khuat, Alexander Merleev, Eunju April Choi, Jonathan Lam, Emanual Maverakis, Arta M Monjazeb, Dan L Longo and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Craig P Collins *University of California, Davis, School of Medicine, Sacramento, CA, United States.
Cordelia Dunai *University of California, Davis, School of Medicine, Sacramento, CA, United States.
Logan V VickUniversity of California, Davis, School of Medicine, Sacramento, CA, United States.
Lam T KhuatUniversity of California, Davis, School of Medicine, Sacramento, CA, United States.
Alexander MerleevUniversity of California, Davis, School of Medicine, Sacramento, CA, United States.
Eunju April ChoiDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, Davis, CA, United States.
Jonathan LamDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, Davis, CA, United States.
Emanual MaverakisUniversity of California, Davis, School of Medicine, Sacramento, CA, United States.
Arta M MonjazebDepartment of Radiation Oncology, University of California, Davis Comprehensive Cancer Center, School of Medicine, Sacramento, CA, United States.
Dan L LongoDepartment of Medicine, Harvard Medical School, Boston, MA, United States.
Nicole BaumgarthDepartment of Pathology, Microbiology and Immunology, School of Veterinary Medicine, Davis, CA, United States.
Robert J CanterDivision of Surgical Oncology, Department of Surgery, University of California, Davis Comprehensive Cancer Center, School of Medicine, Sacramento, CA, United States.
William J MurphyUniversity of California, Davis, School of Medicine, Sacramento, CA, United States.

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI KC KENT LLOYD · 2002 to 2026
$84.9M
NCI NIH HHS P30 CA093373
6 · The paper itself

Abstract

Introduction: Advanced age is associated with increased morbidity and mortality following acute viral infections, including SARS-CoV-2. Despite this, most preclinical models rely on young animals and fail to account for age-related immune remodeling. How advanced aging alters antiviral immune responses and contributes to immune-mediated pathology remains incompletely understood. Methods: Young (2-6 months), aged (15-18 months), and advanced aged (20-29 months) mice were infected with murine cytomegalovirus (MCMV) or influenza virus. Survival, viral burden, cytokine production, immune cell phenotypes, and tissue pathology were assessed using flow cytometry, histology, serum cytokine analysis, and RNA sequencing. Mouse findings were compared with publicly available transcriptomic datasets from SARS-CoV-2-infected human cohorts across age groups. Results: Advanced aged mice exhibited markedly increased mortality and organ pathology following viral infection despite maintaining viral loads comparable to younger mice. These outcomes were associated with heightened systemic and tissue inflammatory cytokine production, reduced antigen-specific T cell responses, and increased frequencies of NK cells and non-antigen-specific bystander T cell activation. Coagulopathy with thrombolytic clot formation was observed exclusively in advanced aged mice. Transcriptomic analysis revealed enrichment of inflammatory and coagulation pathways in influenza-infected advanced aged mice, paralleling findings in elderly humans with SARS-CoV-2 infection, who also displayed reduced expression of T cell-associated genes. Discussion: These findings demonstrate that advanced age profoundly alters antiviral immune responses, shifting immunity away from effective antigen-specific T cell responses toward inflammatory and innate pathways that contribute to immune-mediated pathology. The results highlight the importance of modeling advanced aging in preclinical studies and suggest that age-dependent immune imbalance may underlie increased inflammation, coagulopathy, and mortality during viral infection in both mice and humans.

Indexed as

AgingBlood Coagulation DisordersKiller Cells, NaturalT-LymphocytesVirus DiseasesAgedAged, 80 and overAnimalsFemaleHumansInflammationMaleMiceMice, Inbred BALB CMice, Inbred C57BLMiddle AgedageingagingcoagulopathyNK cellsT cellsviral immune response

Identifiers

PMID41737204
PMCPMC12926148

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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.