Evidence map›Paper›PMID 33307173›Full record

ArticleBrain, behavior, and immunity2021

Spinal cord injury alters microRNA and CD81+ exosome levels in plasma extracellular nanoparticles with neuroinflammatory potential.

Niaz Z Khan, Tuoxin Cao, Junyun He, Rodney M Ritzel, Yun Li, Rebecca J Henry, Courtney Colson, Bogdan A Stoica, Alan I Faden, Junfang Wu

Open access · hybridAbstract read
In one paragraph

Article in Brain, behavior, and immunity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.1field-weighted citation impact, top 5% of its field
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

57 citing papers in PubMed, 107 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Niaz Z KhanDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA; Medical Scientist Training Program, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Program in Neuroscience, University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: nkhan@som.umaryland.edu.
Tuoxin CaoDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: tcao@som.umaryland.edu.
Junyun HeDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: jhe@som.umaryland.edu.
Rodney M RitzelDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: rritzel@som.umaryland.edu.
Yun LiDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: yun.li@som.umaryland.edu.
Rebecca J HenryDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: rhenry@som.umaryland.edu.
Courtney ColsonDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: a.ccolson@som.umaryland.edu.
Bogdan A StoicaDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA. Electronic address: bstoica@som.umaryland.edu.
Alan I FadenDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA; University of Maryland Center to Advance Chronic Pain Research, University of Maryland, Baltimore, MD 21201, USA. Electronic address: afaden@som.umaryland.edu.
Junfang WuDepartment of Anesthesiology and Center for Shock, Trauma and Anesthesiology Research (STAR), University of Maryland School of Medicine, Baltimore, MD 21201, USA; University of Maryland Center to Advance Chronic Pain Research, University of Maryland, Baltimore, MD 21201, USA. Electronic address: junfang.wu@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Dementia Following Spinal Cord Injury: Mechanism and Therapeutic TargetingRF1NS110637 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI JAY, STEVEN MICHAEL, WU, JUNFANG · 2019 to 2019
$2.8M
Targeting brain inflammation and neurocognitive dysfunction in sepsisR01NS110567 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI CHAO, WEI, WU, JUNFANG · 2019 to 2024
$2.5M
Mechanism of Inflammatory Related Brain Dysfunction after Spinal Cord InjuryR01NS110635 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI FADEN, ALAN IRA, WU, JUNFANG · 2019 to 2023
$2.2M
The Function and Mechanisms of Voltage-Gated Proton Channel Hv1 in Spinal Cord InjuryR01NS110825 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI WU, JUNFANG · 2020 to 2024
$1.9M
NINDS NIH HHS R01 NS110567NINDS NIH HHS R01 NS110635NINDS NIH HHS R01 NS110825NINDS NIH HHS RF1 NS110637
6 · The paper itself

Abstract

Extracellular vesicles (EVs) have been implicated mechanistically in the pathobiology of neurodegenerative disorders, including central nervous system injury. However, the role of EVs in spinal cord injury (SCI) has received limited attention to date. Moreover, technical limitations related to EV isolation and characterization methods can lead to misleading or contradictory findings. Here, we examined changes in plasma EVs after mouse SCI at multiple timepoints (1d, 3d, 7d, 14d) using complementary measurement techniques. Plasma EVs isolated by ultracentrifugation (UC) were decreased at 1d post-injury, as shown by nanoparticle tracking analysis (NTA), and paralleled an overall reduction in total plasma extracellular nanoparticles. Western blot (WB) analysis of UC-derived plasma EVs revealed increased expression of the tetraspanin exosome marker, CD81, between 1d and 7d post-injury. To substantiate these findings, we performed interferometric and fluorescence imaging of single, tetraspanin EVs captured directly from plasma with ExoView®. Consistent with WB, we observed significantly increased plasma CD81+ EV count and cargo at 1d post-injury. The majority of these tetraspanin EVs were smaller than 50 nm based on interferometry and were insufficiently resolved by flow cytometry-based detection. At the injury site, there was enhanced expression of EV biogenesis proteins that were also detected in EVs directly isolated from spinal cord tissue by WB. Surface expression of tetraspanins CD9 and CD63 increased in multiple cell types at the injury site; however, astrocyte CD81 expression uniquely decreased, as demonstrated by flow cytometry. UC-isolated plasma EV microRNA cargo was also significantly altered at 1d post-injury with changes similar to that reported in EVs released by astrocytes after inflammatory stimulation. When injected into the lateral ventricle, plasma EVs from SCI mice increased both pro- and anti-inflammatory gene as well as reactive astrocyte gene expression in the brain cortex. These studies provide the first detailed characterization of plasma EV dynamics after SCI and suggest that plasma EVs may be involved in posttraumatic brain inflammation.

Indexed as

ExosomesExtracellular VesiclesMicroRNAsNanoparticlesSpinal Cord InjuriesAnimalsMiceMicroRNAsAstrocytesExosomesExoView®Extracellular vesiclesInflammationMicroRNAsNanoparticle tracking analysisSingle particle interferometric reflectance imaging sensorSpinal cord injuryTetraspanins

Identifiers

PMID33307173
PMCPMC7897251
OpenAlexW3112446588

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.