Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Spatial Transcriptomics of Meningeal Inflammation Reveals Variable Penetrance of Inflammatory Gene Signatures into Adjacent Brain Parenchyma

Sachin P. Gadani, Saumitra Singh, Sophia Kim, View ORCID ProfileMatthew D. Smith, Peter A. Calabresi, View ORCID ProfilePavan Bhargava
doi: https://doi.org/10.1101/2023.06.02.543421
Sachin P. Gadani
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
MD, PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Saumitra Singh
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
PhD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sophia Kim
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
BS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matthew D. Smith
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
MS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matthew D. Smith
Peter A. Calabresi
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
2Solomon Snyder, Department of Neuroscience Johns Hopkins University School of Medicine, Baltimore, MD, USA
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pavan Bhargava
1Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
MD
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Pavan Bhargava
  • For correspondence: [email protected]
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

While modern high efficacy disease modifying therapies have revolutionized the treatment of relapsing-remitting multiple sclerosis, they are less effective at controlling progressive forms of the disease. Meningeal inflammation is a recognized risk factor for cortical grey matter pathology which can result in disabling symptoms such as cognitive impairment and depression, but the mechanisms linking meningeal inflammation and grey matter pathology remain unclear. Here, we performed MRI-guided spatial transcriptomics in a mouse model of autoimmune meningeal inflammation to characterize the transcriptional signature in areas of meningeal inflammation and the underlying brain parenchyma. We found broadly increased activity of inflammatory signaling pathways at sites of meningeal inflammation, but only a subset of these pathways active in the adjacent brain parenchyma. Sub-clustering of regions adjacent to meningeal inflammation revealed the subset of immune programs induced in brain parenchyma, notably the B cell mediated immune response and antigen processing/presentation. Trajectory gene and gene set modeling analysis confirmed variable penetration of immune signatures originating from meningeal inflammation into the adjacent brain tissue. This work contributes a valuable data resource to the field, provides the first detailed spatial transcriptomic characterization in a model of meningeal inflammation, and highlights several candidate pathways in the pathogenesis of grey matter pathology.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted June 06, 2023.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Spatial Transcriptomics of Meningeal Inflammation Reveals Variable Penetrance of Inflammatory Gene Signatures into Adjacent Brain Parenchyma
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Spatial Transcriptomics of Meningeal Inflammation Reveals Variable Penetrance of Inflammatory Gene Signatures into Adjacent Brain Parenchyma
Sachin P. Gadani, Saumitra Singh, Sophia Kim, Matthew D. Smith, Peter A. Calabresi, Pavan Bhargava
bioRxiv 2023.06.02.543421; doi: https://doi.org/10.1101/2023.06.02.543421
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Spatial Transcriptomics of Meningeal Inflammation Reveals Variable Penetrance of Inflammatory Gene Signatures into Adjacent Brain Parenchyma
Sachin P. Gadani, Saumitra Singh, Sophia Kim, Matthew D. Smith, Peter A. Calabresi, Pavan Bhargava
bioRxiv 2023.06.02.543421; doi: https://doi.org/10.1101/2023.06.02.543421

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (6070)
  • Biochemistry (13810)
  • Bioengineering (10518)
  • Bioinformatics (33409)
  • Biophysics (17242)
  • Cancer Biology (14303)
  • Cell Biology (20259)
  • Clinical Trials (138)
  • Developmental Biology (10942)
  • Ecology (16127)
  • Epidemiology (2067)
  • Evolutionary Biology (20447)
  • Genetics (13473)
  • Genomics (18738)
  • Immunology (13863)
  • Microbiology (32369)
  • Molecular Biology (13474)
  • Neuroscience (70523)
  • Paleontology (530)
  • Pathology (2214)
  • Pharmacology and Toxicology (3765)
  • Physiology (5930)
  • Plant Biology (12091)
  • Scientific Communication and Education (1821)
  • Synthetic Biology (3391)
  • Systems Biology (8212)
  • Zoology (1855)