Evidence map›Paper›PMID 38851724›Full record

ArticleJournal of neuroinflammation2024

Characterization of spinal cord tissue-derived extracellular vesicles in neuroinflammation.

Larissa Jank, Ajay Kesharwani, Taekyung Ryu, Deepika Joshi, Dimitrios C Ladakis, Matthew D Smith, Saumitra Singh, Tanina Arab, Kenneth W Witwer, Peter A Calabresi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

12 authors.

Larissa JankDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Ajay KesharwaniDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Taekyung RyuInstitute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Deepika JoshiDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dimitrios C LadakisDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Matthew D SmithDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Saumitra SinghDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Tanina ArabDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kenneth W WitwerDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Peter A CalabresiDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Chan-Hyun NaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Pavan BhargavaDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. pbharga2@jhmi.edu.

Funding

Next-generation extracellular vesicle biologics to target central nervous system and peripheral reservoirs of HIVR01AI144997 · NIAID · JOHNS HOPKINS UNIVERSITY · PI RAMRATNAM, BHARAT, WITWER, KENNETH W · 2019 to 2023
$4.0M
Extracellular Vesicle and Extracellular RNA Biomarkers of HIV-1 Central Nervous System Pathogenesis and Cigarette UseR01DA047807 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2018 to 2022
$3.7M
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR33MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2020 to 2022
$2.2M
Fourier Transform Orbitrap Fusion Lumos Tribrid Mass Spectrometer with ETDS10OD021844 · OD · JOHNS HOPKINS UNIVERSITY · PI PANDEY, AKHILESH · 2016 to 2016
$1.1M
National Multiple Sclerosis Society FG-2207-40205National Multiple Sclerosis Society JF-2007-36755NIAID NIH HHS R01 AI144997NIDA NIH HHS R01 DA047807NIH HHS S10 OD021844NIMH NIH HHS R33 MH118164
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are released by all cells, can cross the blood-brain barrier, and have been shown to play an important role in cellular communication, substance shuttling, and immune modulation. In recent years EVs have shifted into focus in multiple sclerosis (MS) research as potential plasma biomarkers and therapeutic vehicles. Yet little is known about the disease-associated changes in EVs in the central nervous system (CNS). To address this gap, we characterized the physical and proteomic changes of mouse spinal cord-derived EVs before and at 16 and 25 days after the induction of experimental autoimmune encephalomyelitis (EAE), a neuroinflammatory model of MS. Using various bioinformatic tools, we found changes in inflammatory, glial, and synaptic proteins and pathways, as well as a shift in the predicted contribution of immune and glial cell types over time. These results show that EVs provide snapshots of crucial disease processes such as CNS-compartmentalized inflammation, re/de-myelination, and synaptic pathology, and might also mediate these processes. Additionally, inflammatory plasma EV biomarkers previously identified in people with MS were also altered in EAE spinal cord EVs, suggesting commonalities of EV-related pathological processes during EAE and MS and overlap of EV proteomic changes between CNS and circulating EVs.

Indexed as

Encephalomyelitis, Autoimmune, ExperimentalExtracellular VesiclesMice, Inbred C57BLSpinal CordAnimalsFemaleMiceNeuroinflammatory DiseasesProteomicsEAEExtracellular vesiclesMultiple sclerosisMyelinNeuroinflammationSynaptic pathologyTissue-derived extracellular vesicles

Identifiers

PMID38851724
PMCPMC11162576

What OpenQuestion holds

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Registered trials

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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.