Evidence map›Paper›PMID 30535257›Full record

ArticleThe international journal of neuropsychopharmacology2019

Small Extracellular Vesicles in Rat Serum Contain Astrocyte-Derived Protein Biomarkers of Repetitive Stress.

Cristóbal Gómez-Molina, Mauricio Sandoval, Roberto Henzi, Juan Pablo Ramírez, Manuel Varas-Godoy, Alejandro Luarte, Carlos Andres Lafourcade, Alejandra Lopez-Verrilli, Karl-Heinz Smalla, Thilo Kaehne and 1 more

Open access · goldAbstract read
In one paragraph

Article in The international journal of neuropsychopharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

44 citing papers in PubMed, 82 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Cristóbal Gómez-MolinaCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Mauricio SandovalCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Roberto HenziCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Juan Pablo RamírezCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Manuel Varas-GodoyCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Alejandro LuarteCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Carlos Andres LafourcadeCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Alejandra Lopez-VerrilliCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Karl-Heinz SmallaLeibniz Institute for Neurobiology, Magdeburg, Germany.
Thilo KaehneOtto-von-Guericke University, Magdeburg, Germany.
Ursula WynekenCentro de Investigación Biomédica, Universidad de los Andes, Chile.
Universidad de Los Andes, Chile · CLLeibniz Institute for Neurobiology · DEOtto-von-Guericke-Universität Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStress precipitates mood disorders, characterized by a range of symptoms present in different combinations, suggesting the existence of disease subtypes. Using an animal model, we previously described that repetitive stress via restraint or immobilization induced depressive-like behaviors in rats that were differentially reverted by a serotonin- or noradrenaline-based antidepressant drug, indicating that different neurobiological mechanisms may be involved. The forebrain astrocyte protein aldolase C, contained in small extracellular vesicles, was identified as a potential biomarker in the cerebrospinal fluid; however, its specific origin remains unknown. Here, we propose to investigate whether serum small extracellular vesicles contain a stress-specific protein cargo and whether serum aldolase C has a brain origin.

methodsWe isolated and characterized serum small extracellular vesicles from rats exposed to restraint, immobilization, or no stress, and their proteomes were identified by mass spectrometry. Data available via ProteomeXchange with identifier PXD009085 were validated, in part, by western blot. In utero electroporation was performed to study the direct transfer of recombinant aldolase C-GFP from brain cells to blood small extracellular vesicles.

resultsA differential proteome was identified among the experimental groups, including aldolase C, astrocytic glial fibrillary acidic protein, synaptophysin, and reelin. Additionally, we observed that, when expressed in the brain, aldolase C tagged with green fluorescent protein could be recovered in serum small extracellular vesicles.

conclusionThe protein cargo of serum small extracellular vesicles constitutes a valuable source of biomarkers of stress-induced diseases, including those characterized by depressive-like behaviors. Brain-to-periphery signaling mediated by a differential molecular cargo of small extracellular vesicles is a novel and challenging mechanism by which the brain might communicate health and disease states to the rest of the body.

Indexed as

AnimalsAstrocytesBiomarkersCell Adhesion Molecules, NeuronalExtracellular Matrix ProteinsExtracellular VesiclesFructose-Bisphosphate AldolaseGlial Fibrillary Acidic ProteinMaleNerve Tissue ProteinsProtein Interaction MapsRatsRats, Sprague-DawleyReelin ProteinRestraint, PhysicalSerine EndopeptidasesBiomarkersCell Adhesion Molecules, NeuronalExtracellular Matrix ProteinsFructose-Bisphosphate AldolaseGfap protein, ratGlial Fibrillary Acidic ProteinNerve Tissue ProteinsReelin ProteinReln protein, ratSerine EndopeptidasesSynaptophysinSyp protein, ratbiomarkersexosomesstress subtypes

Identifiers

PMID30535257
PMCPMC6403096
OpenAlexW2904455511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.