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ZENODO
Dataset . 2027
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2027
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2027
License: CC BY
Data sources: Datacite
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Dataset from paper: "Trained immunity drives resistance to infections and improves vaccine response in aged individuals"

Authors: Gilbert, Charly; Snäkä, Tiia; Brochut, Maëlick; Roger, Thierry;

Dataset from paper: "Trained immunity drives resistance to infections and improves vaccine response in aged individuals"

Abstract

Aging is accompanied by a decline in immune surveillance and immunoreactivity, exposing older people to an increased risk of developing cancer, serious infections and reducing their response to protective vaccines. Trained immunity is a de facto memory capacity of the innate immune system, owing to the reprogramming of hematopoietic stem and progenitor cells (HSPCs) and mature myeloid cells. Induction of trained immunity is associated with increased effector functions of innate immune cells and protects young adult mice against a wide range of infections. Here we demonstrate that the induction of trained immunity in old mice reprograms HSPCs and monocytes with characteristics that are both similar and distinct from their young counterparts. We also report that the induction of trained immunity is a very powerful tool for protecting aged mice from lethal bacterial infections and increasing their response to vaccination. We further show that trained immunity is efficiently induced in primary innate immune cells from older individuals. Taken all together, trained immunity-based therapies represent attractive strategies to treat or prevent infectious diseases in older adults.

Code is available here: https://github.com/mbrochut/TR-lab_RNA-seq_Monocytes_aging https://github.com/mbrochut/TR-lab_RNA-seq_HSPC_aging

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Keywords

Trained Immunity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research