OSCR

TLR7-induced murine inflammation results in a global neuroinflammatory response driving neural circuit-specific transcriptomic changes.

Overview

Authors: Kirstyn Gardner-Stephen1, Robin J Carvajal-Quisilema1, Lilya Andrianova1,2, Rhona McGonigal1, Deepika Sharma1, Jennifer A Barrie1, Megan Saathoff1, John J Cole1, Nigel B Jamieson3, Michael T Craig2, Jonathan T Cavanagh1
  1. School of Infection & Immunity, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ UK
  2. School of Psychology & Neuroscience, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ UK
  3. School of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ UK
Institutions: University of Glasgow (United Kingdom)
Journal: Scientific reports, volume 16, issue 1, article 22896
Dates: received 12 September 2025; accepted 28 April 2026; published online 20 May 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41598-026-51581-0 · PMID 42162078 · PMCID PMC13388660 · OpenAlex W7161832754
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: genetics / omics (modality), mouse (organism), depression (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: Spatial transcriptomics, Neuroinflammation, Astrocytes, Anhedonia, Depression, Motivation, Glia, Synapse, Neural circuitry, Immunology, Striatum, Prefrontal cortex, Amygdala, Thalamus, Neuroscience
MeSH: Astrocytes*, Brain*, Major Depressive Disorder*, Neuroinflammatory Diseases*, Neurons*, Animals, Female, Gene Expression Regulation, Imiquimod, Inflammation, Membrane Glycoproteins, Mice, Mice, Inbred C57BL, Reward, Spatial Transcriptomics, Toll-Like Receptor 7, Toll-Like Receptor 8, Toll-Like Receptors (* major topic)
Topic: Tryptophan and brain disorders (Biological Psychiatry, Neuroscience), according to OpenAlex
Funding: Inger M and George Simpson Biological Psychiatry Scholarships
Citations: not cited yet (Europe PMC); 73 references in the paper

Abstract

Interactions between the brain and immune system play a key role in the aetiology of brain disorders, with inflammation emerging as a potential causal factor in subsets of major depressive disorder, particularly those resistant to treatment. The mechanisms through which immune activation might drive depressive symptoms remain elusive, limiting the ability to develop new targeted therapies. Using a mouse model of neuroinflammation, involving a TLR7/8 agonist, we combined whole-brain and spatial transcriptomics approaches to determine whether TLR7/8-driven neuroinflammation resulted in consistent immune and neurobiological transcriptional changes throughout the brain. We found evidence of strong immune activation throughout the brain,. and this global inflammatory signal led to regionally specific changes in gene expression. In particular, we found reduced expression of genes associated with synaptic function in brain areas underlying mood and anxiety, such as ventral striatum and amygdala.

Supplementary Information: The online version contains supplementary material available at 10.1038/s41598-026-51581-0.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

RobinCarvajal/cosmx

License: none: the authors keep all their rights
State: the link is dead, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link is dead
  • 28 September 2026: the link is dead

robincarvajal/subsetmask](https:

License: none: the authors keep all their rights
State: the link is dead, verified on 28 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link is dead
  • 28 September 2026: the link is dead

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 2 repositories of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability

The datasets generated and analysed during the current study are available in the following: ENA repository for Bulk RNA sequencing dataset [ accession number – ERA35055600; Bulk RNA seq samples: ERS26980338, ERS26980339, ERS26980340, ERS26980341, ERS26980342, ERS26980343, ERS26980344, ERS26980345, ERS26980346, ERS26980347]; The CosMx spatial transcriptomic dataset is available on University’s data repository on: [http://dx.doi.org/10.5525/gla.researchdata.2076.](http:/dx.doi.org/10.5525/gla.researchdata.2076.) The code is available at [https://github.com/RobinCarvajal/cosmx\_ca](https:/github.com/RobinCarvajal/cosmx_cavanagh) vanagh and [https://github.com/RobinCarvajal/SubsetMask](https:/github.com/RobinCarvajal/SubsetMask).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 15 keywords, 18 MeSH terms, 1 funder, 67 references.

Cite

This paper

Gardner-Stephen, K., Carvajal-Quisilema, R. J., Andrianova, L., McGonigal, R., Sharma, D., Barrie, J. A., Saathoff, M., Cole, J. J., Jamieson, N. B., Craig, M. T., & Cavanagh, J. T. (2026). TLR7-induced murine inflammation results in a global neuroinflammatory response driving neural circuit-specific transcriptomic changes. Scientific reports, 16(1), 22896. https://doi.org/10.1038/s41598-026-51581-0

BibTeX

@article{gardnerstephen2026tlr7,
author = {Gardner-Stephen, Kirstyn and Carvajal-Quisilema, Robin J and Andrianova, Lilya and McGonigal, Rhona and Sharma, Deepika and Barrie, Jennifer A and Saathoff, Megan and Cole, John J and Jamieson, Nigel B and Craig, Michael T and Cavanagh, Jonathan T},
title = {{TLR7-induced murine inflammation results in a global neuroinflammatory response driving neural circuit-specific transcriptomic changes}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {22896},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-51581-0},
url = {https://doi.org/10.1038/s41598-026-51581-0},
pmid = {42162078},
pmcid = {PMC13388660}
}

RIS

TY - JOUR
AU - Gardner-Stephen, Kirstyn
AU - Carvajal-Quisilema, Robin J
AU - Andrianova, Lilya
AU - McGonigal, Rhona
AU - Sharma, Deepika
AU - Barrie, Jennifer A
AU - Saathoff, Megan
AU - Cole, John J
AU - Jamieson, Nigel B
AU - Craig, Michael T
AU - Cavanagh, Jonathan T
TI - TLR7-induced murine inflammation results in a global neuroinflammatory response driving neural circuit-specific transcriptomic changes
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/05/20
VL - 16
IS - 1
SP - 22896
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-51581-0
UR - https://doi.org/10.1038/s41598-026-51581-0
LA - en
ER -

CSL-JSON

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