Evidence map›Paper›PMID 38089920›Full record

ArticleInterdisciplinary medicine2023

Toward a human brain extracellular vesicle atlas: Characteristics of extracellular vesicles from different brain regions, including small RNA and protein profiles.

Yiyao Huang, Tanina Arab, Ashley E Russell, Emily R Mallick, Rajini Nagaraj, Evan Gizzie, Javier Redding-Ochoa, Juan C Troncoso, Olga Pletnikova, Andrey Turchinovich and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Interdisciplinary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 43 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Yiyao HuangDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-1749-963X
Tanina ArabDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Ashley E RussellDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Emily R MallickDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Rajini NagarajMeso Scale Diagnostics LLC Rockville Maryland USA.
Evan GizzieMeso Scale Diagnostics LLC Rockville Maryland USA.
Javier Redding-OchoaDepartment of Pathology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Juan C TroncosoDepartment of Pathology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Olga PletnikovaDepartment of Pathology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Andrey TurchinovichDivision of Cancer Genome Research German Cancer Research Center (DKFZ) Heidelberg Germany.
David A RoutenbergMeso Scale Diagnostics LLC Rockville Maryland USA.
Kenneth W WitwerDepartment of Molecular and Comparative Pathobiology Johns Hopkins University School of Medicine Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-1664-4233
Johns Hopkins University · USMeso Scale Discovery (United States) · USGerman Cancer Research Center · DEPennsylvania State University · US

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Arnold Bakker · 2014 to 2026
$51.5M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
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
Surface Signatures of Neuronal and Glial Extracellular VesiclesUH3MH118167 · NIMH · MESO SCALE DIAGNOSTICS, LLC · PI ROUTENBERG, DAVID AARON · 2020 to 2022
$2.7M
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
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUH3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2021 to 2022
$1.1M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUG3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2019 to 2020
$941k
Discovering novel players in mechanisms of extracellular vesicle release, cargo loading, and early pathogenesis of late-onset Alzheimer's DiseaseR56AG057430 · NIA · JOHNS HOPKINS UNIVERSITY · PI CHENG, LINZHAO, MACHAIRAKI, VASILIKI · 2017 to 2017
$796k
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR21MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2018 to 2019
$471k
Surface Signatures of Neuronal and Glial Extracellular VesiclesUH2MH118167 · NIMH · MESO SCALE DIAGNOSTICS, LLC · PI ROUTENBERG, DAVID AARON · 2018 to 2019
$444k
NCI NIH HHS UG3 CA241694NCI NIH HHS UH3 CA241694NIAID NIH HHS R01 AI144997NIA NIH HHS P30 AG066507NIA NIH HHS R56 AG057430NIA NIH HHS U19 AG033655NIDA NIH HHS R01 DA047807NIMH NIH HHS R21 MH118164NIMH NIH HHS R33 MH118164NIMH NIH HHS UH2 MH118167NIMH NIH HHS UH3 MH118167
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are released from different cell types in the central nervous system (CNS) and play roles in regulating physiological and pathological functions. Although brain-derived EVs (bdEVs) have been successfully collected from brain tissue, there is not yet a "bdEV Atlas" of EVs from different brain regions. To address this gap, we separated EVs from eight anatomical brain regions of a single individual and subsequently characterized them by count, size, morphology, and protein and RNA content. The greatest particle yield was from cerebellum, while the fewest particles were recovered from the orbitofrontal, postcentral gyrus, and thalamus regions. EV surface phenotyping indicated that CD81 and CD9 were more abundant than CD63 in all regions. Cell-enriched surface markers varied between brain regions. For example, putative neuronal markers NCAM, CD271, and NRCAM were more abundant in medulla, cerebellum, and occipital regions, respectively. These findings, while restricted to tissues from a single individual, suggest that additional studies are warranted to provide more insight into the links between EV heterogeneity and function in the CNS.

Indexed as

braincerebellumcorpus callosumectosomesexosomesextracellular vesicleshippocampusmedullaoccipital gyrusorbitofrontalpostcentral gyrusthalamustissue

Identifiers

PMID38089920
PMCPMC10712435
OpenAlexW4385878637

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.