Evidence map›Paper›PMID 39475792›Full record

ArticleeLife2024

Spatial transcriptomics of meningeal inflammation reveals inflammatory gene signatures in adjacent brain parenchyma.

Sachin P Gadani, Saumitra Singh, Sophia Kim, Jingwen Hu, Matthew D Smith, Peter A Calabresi, Pavan Bhargava

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Sachin P Gadani *Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-9555-4553
Saumitra Singh *Division of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Sophia KimDivision of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Jingwen HuDivision of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Matthew D SmithDivision of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.
Peter A CalabresiDivision of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-7776-6472
Pavan BhargavaDivision of Neuroimmunology, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, United States.ORCID https://orcid.org/0000-0002-7947-9418

Funding

National Multiple Sclerosis Society FAN-2106-37832National Multiple Sclerosis Society JF-2007-36755
6 · The paper itself

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 gray matter pathology which can result in disabling symptoms such as cognitive impairment and depression, but the mechanisms linking meningeal inflammation and gray matter pathology remain unclear. Here, we performed magnetic resonance imaging (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. Subclustering of regions adjacent to meningeal inflammation revealed the subset of immune programs induced in brain parenchyma, notably complement signaling 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 gray matter pathology.

Indexed as

BrainInflammationMeningesTranscriptomeAnimalsDisease Models, AnimalFemaleGene Expression ProfilingMagnetic Resonance ImagingMaleMiceMice, Inbred C57BLParenchymal Tissueexperimental autoimmune encephalomyelitisgray matter degenerationimmunologyinflammationmeningeal inflammationmousemultiple sclerosisneurosciencespatial transcriptomics

Identifiers

PMID39475792
PMCPMC11524578

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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 OpenQuestion graph.