Evidence map›Paper›PMID 42427610›Full record

ArticlebioRxiv : the preprint server for biology2026

Sequential infection reprograms the immune landscape to shape future responses.

Mengdi Guo, Yanis Hichem Bouzaher, Diala Abd-Rabbo, Rene Quevedo, Heidi J Elsaesser, Wenxi Xu, Melissa Yi Ran Liu, Fauzia N Izzati, M Teresa Ciudad, Matthew Bianca and 7 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Mengdi GuoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Yanis Hichem BouzaherPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Diala Abd-RabboPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Rene QuevedoPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Heidi J ElsaesserPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Wenxi XuPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Melissa Yi Ran LiuPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Fauzia N IzzatiDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
M Teresa CiudadKeenan Research Centre for Biomedical Sciences, St. Michael's Hospital, Toronto, ON, Canada.
Matthew BiancaPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Zhe Qi LiuPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Joao E M de OliveiraPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Arthur MorthaDepartment of Immunology, University of Toronto, Toronto, ON, Canada.
Landon J EdgarDepartment of Pharmacology and Toxicology, University of Toronto, Toronto, ON, Canada.
Tracy L McGahaPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
Tiffany A ReeseDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
David G BrooksPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.

Funding

Sequential infection of laboratory mice for enhanced cancer and immunotherapy translationR21CA296062 · NCI · UNIVERSITY HEALTH NETWORK · PI DAVID G BROOKS · 2025 to 2026
$278k
NCI NIH HHS R21 CA296062
6 · The paper itself

Abstract

Mouse models have been instrumental in defining immune mechanisms but often fail to capture the complexity of human immunity, limiting clinical translation. A major limitation is the immunological immaturity of specific pathogen-free (SPF) mice relative to pathogen-experienced adult humans. Here, we use a sequential infection (SI) model that recapitulates cumulative pathogen exposure and define its impact on immune composition and function. Beyond the previously reported expansion of memory T cells, SI induced durable, system-wide remodeling across lymphoid and non-lymphoid tissues, reshaping innate and adaptive immune populations, tissue-resident immunity, and hematopoietic output. Single-cell transcriptomic analyses revealed inflammatory imprinting of naïve CD4 and CD8 T cells, whereas memory T cells acquired enhanced effector programs coupled with reduced biosynthetic activity, transcriptional states that more closely resemble those of pathogen-experienced adult humans. Functionally, SI mice recapitulated the human response to anti-CD28 super-agonist and exhibited altered magnitude and differentiation of acute and chronic antiviral T cell responses, demonstrating that cumulative pathogen exposure reshapes both existing immunity and the generation of future immune responses. Thus, cumulative pathogen exposure coordinately remodels hematopoiesis and naïve and memory lymphocyte states, establishing a durable inflammation-experienced immune landscape that reshapes both immune memory and future immune responses, with broad implications for the translational fidelity of preclinical mouse models.

Identifiers

PMID42427610
PMCPMC13345062

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.