Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies

Trained immunity presents a unique target for modulating the immune response against infectious and non-infectious threats to human health. To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer research questions and address clinical applications. Cur...

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Main Authors: Hannah Riley Knight, Marie Kim, Nisha Kannan, Hannah Taylor, Hailey Main, Emily Azcue, Aaron Esser-Kahn
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-07-01
Series:eLife
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Online Access:https://elifesciences.org/articles/106339
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author Hannah Riley Knight
Marie Kim
Nisha Kannan
Hannah Taylor
Hailey Main
Emily Azcue
Aaron Esser-Kahn
author_facet Hannah Riley Knight
Marie Kim
Nisha Kannan
Hannah Taylor
Hailey Main
Emily Azcue
Aaron Esser-Kahn
author_sort Hannah Riley Knight
collection DOAJ
description Trained immunity presents a unique target for modulating the immune response against infectious and non-infectious threats to human health. To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer research questions and address clinical applications. Current challenges in trained immunity include self-propagating autoinflammatory disease, a lack of controllable cell and tissue specificity, and the unintentional induction of training by known drugs and diseases. The bioengineering tools discussed in this review (nanotherapeutics, biomechanical modulation, cellular engineering, and machine learning) could address these challenges by providing additional avenues to modulate and interrogate trained immunity. The preferential activation of peripheral or central training has not yet been achieved and could be accessed using nanoparticle systems. Targeted delivery of training stimuli using nanocarriers can enrich the response in various cell and organ systems, while also selectively activating peripheral training in the local tissues or central trained immunity in bone marrow progenitor cells. Beyond chemical- or pathogen-based activation of training, force-based cues, such as interaction with mechanoreceptors, can induce trained phenotypes in many cell types. Mechanotransduction influences immune cell activation, motility, and morphology and could be harnessed as a tool to modulate training states in next-generation therapies. For known genetic and epigenetic mediators of trained immunity, cellular engineering could precisely activate or deactivate programs of training. Genetic engineering could be particularly useful in generating trained cell-based therapies like chimeric antigen receptor (CAR) macrophages. Finally, machine learning models, which are rapidly transforming biomedical research, can be employed to identify signatures of trained immunity in pre-existing datasets. They can also predict protein targets for previously identified inducers of trained immunity by modeling drug-protein or protein-protein interactions in silico. By harnessing the modular techniques of bioengineering for applications in trained immunity, training-based therapies can be more efficiently translated into clinical practice.
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spelling doaj-art-66a6716ef3c2471b883c4ec72d0960a62025-08-20T03:51:48ZengeLife Sciences Publications LtdeLife2050-084X2025-07-011410.7554/eLife.106339Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategiesHannah Riley Knight0https://orcid.org/0000-0002-8903-9985Marie Kim1https://orcid.org/0000-0002-3373-6618Nisha Kannan2https://orcid.org/0000-0003-2173-5340Hannah Taylor3https://orcid.org/0000-0003-2146-8764Hailey Main4https://orcid.org/0009-0004-0460-8512Emily Azcue5https://orcid.org/0000-0002-1088-8854Aaron Esser-Kahn6https://orcid.org/0000-0003-1273-0951Pritzker School of Molecular Engineering, University of Chicago, Chicago, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, United StatesBiological Sciences Division, University of Chicago, Chicago, United StatesDepartment of Chemistry, University of Chicago, Chicago, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, United StatesPritzker School of Molecular Engineering, University of Chicago, Chicago, United StatesTrained immunity presents a unique target for modulating the immune response against infectious and non-infectious threats to human health. To address the unmet need for training-targeted therapies, we explore bioengineering methods to answer research questions and address clinical applications. Current challenges in trained immunity include self-propagating autoinflammatory disease, a lack of controllable cell and tissue specificity, and the unintentional induction of training by known drugs and diseases. The bioengineering tools discussed in this review (nanotherapeutics, biomechanical modulation, cellular engineering, and machine learning) could address these challenges by providing additional avenues to modulate and interrogate trained immunity. The preferential activation of peripheral or central training has not yet been achieved and could be accessed using nanoparticle systems. Targeted delivery of training stimuli using nanocarriers can enrich the response in various cell and organ systems, while also selectively activating peripheral training in the local tissues or central trained immunity in bone marrow progenitor cells. Beyond chemical- or pathogen-based activation of training, force-based cues, such as interaction with mechanoreceptors, can induce trained phenotypes in many cell types. Mechanotransduction influences immune cell activation, motility, and morphology and could be harnessed as a tool to modulate training states in next-generation therapies. For known genetic and epigenetic mediators of trained immunity, cellular engineering could precisely activate or deactivate programs of training. Genetic engineering could be particularly useful in generating trained cell-based therapies like chimeric antigen receptor (CAR) macrophages. Finally, machine learning models, which are rapidly transforming biomedical research, can be employed to identify signatures of trained immunity in pre-existing datasets. They can also predict protein targets for previously identified inducers of trained immunity by modeling drug-protein or protein-protein interactions in silico. By harnessing the modular techniques of bioengineering for applications in trained immunity, training-based therapies can be more efficiently translated into clinical practice.https://elifesciences.org/articles/106339bioengineeringtrained immunitynanotherapeuticsbiomechanicscellular engineeringmachine learning
spellingShingle Hannah Riley Knight
Marie Kim
Nisha Kannan
Hannah Taylor
Hailey Main
Emily Azcue
Aaron Esser-Kahn
Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
eLife
bioengineering
trained immunity
nanotherapeutics
biomechanics
cellular engineering
machine learning
title Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
title_full Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
title_fullStr Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
title_full_unstemmed Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
title_short Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies
title_sort bioengineering approaches to trained immunity physiologic targets and therapeutic strategies
topic bioengineering
trained immunity
nanotherapeutics
biomechanics
cellular engineering
machine learning
url https://elifesciences.org/articles/106339
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