Evidence map›Paper›PMID 38996911›Full record

ArticleJournal of theoretical biology2024

Modeling the CD8+ T cell immune response to influenza infection in adult and aged mice.

Benjamin Whipple, Tanya A Miura, Esteban A Hernandez-Vargas

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Benjamin WhippleDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, ID, 83844, United States; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, 83844, United States.
Tanya A MiuraBioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, 83844, United States; Department of Biological Sciences, University of Idaho, Moscow, ID, 83844, United States; Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID, 83844, United States.
Esteban A Hernandez-VargasDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, ID, 83844, United States; Bioinformatics and Computational Biology Program, University of Idaho, Moscow, ID, 83844, United States; Institute for Modeling Collaboration and Innovation, University of Idaho, Moscow, ID, 83844, United States. Electronic address: esteban@systemsmedicine.de.

Funding

Novel Hybrid Computational Models to Disentangle Complex Immune ResponsesR01GM152736 · NIGMS · UNIVERSITY OF IDAHO · PI HERNANDEZ VARGAS, ESTEBAN ABELARDO · 2023 to 2025
$600k
NIGMS NIH HHS R01 GM152736
6 · The paper itself

Abstract

The CD8+ T cell response is the main determinant of viral clearance during influenza infection. However, influenza viral dynamics and the respective immune responses are affected by the host's age. To investigate age-related differences in the CD8+ T cell immune response dynamics, we propose 16 ordinary differential equation models of existing experimental data. These data consist of viral titer and CD8+ T cell counts collected periodically over a period of 19 days from adult and aged mice infected with influenza A/Puerto Rico/8/34 (H1N1). We use the corrected Akaike Information Criterion to identify the models which best represent the considered data. Our model selection process indicates differences in mechanisms which reduce the CD8+ T cell response: linear downregulation is favored for adult mice, while baseline exponential decay is favored for aged mice. Parameter fitting of the top ranked models suggests that the aged population has reduced CD8+ T cell proliferation compared to the adult population. More experimental work is needed to determine the specific immunological features through which age might cause these differences. A better understanding of the immunological mechanisms by which aging leads to discrepant CD8+ T cell dynamics may inform future treatment strategies.

Indexed as

AgingCD8-Positive T-LymphocytesModels, ImmunologicalOrthomyxoviridae InfectionsAge FactorsAnimalsInfluenza A Virus, H1N1 SubtypeMiceAgingCD8+ T cellsInfluenzaMathematical modelMurine model

Identifiers

PMID38996911
PMCPMC11348945

What OpenQuestion holds

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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.