Evidence map›Paper›PMID 35673574›Full record

ReviewTheranostics2022

Influences of age, race, and sex on extracellular vesicle characteristics.

Nicole Noren Hooten, Anjali M Byappanahalli, Mya Vannoy, Victor Omoniyi, Michele K Evans

Abstract readReview
In one paragraph

Review in Theranostics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 3 pooled it
–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

66 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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6 more citing papers are in PubMed but not listed here.

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

5 authors.

Nicole Noren HootenLaboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224.
Anjali M ByappanahalliLaboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224.
Mya VannoyLaboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224.
Victor OmoniyiLaboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224.
Michele K EvansLaboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Baltimore, MD 21224.

Funding

Healthy Aging In Neighborhoods of Diversity Across the Life Span (HANDLS)ZIAAG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$70.9M
The Underlying Biology of Health DisparitiesZIAAG000519 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$15.7M
Characterization of Serum Extracellular Vesicles with Human AgeZIAAG000989 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2017 to 2025
$4.1M
PERIPHERAL NEUROPATHY, SENSORIMOTOR FUNCTIONS &BALANCEK23AG000989 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARDSON, JAMES K · 2000 to 2004
$711k
NIA NIH HHS K23 AG000989
6 · The paper itself

Abstract

Recent attention has focused on the use of extracellular vesicles (EVs) as biological indicators of health and disease. These small, nano-sized membrane bound vesicles are secreted from cells into the extracellular space and can be readily isolated from bodily fluids. EVs can carry various bioactive molecules as cargo including DNA, RNA, proteins, and lipids. These EVs can provide a snapshot of the cell of origin and a window of opportunity to assess normal physiological states as well as pathophysiological states. For EVs to further develop as potential biomarkers of disease, it is important to characterize whether these vesicles and their associated cargo are altered in the context of demographic factors. Here, we summarize the current literature on how demographics such as age, race, and sex affect the levels and cargo of EVs. Age and sex influence both EV cargo and concentration while race studies report differences mostly in EV protein cargo. This review also identifies areas of future research and important considerations for the clinical use of EVs as biomarkers.

Indexed as

Extracellular VesiclesBiomarkersCell CommunicationProteinsBiomarkersProteinsagebiomarkercargoexosomesextracellular vesiclesracesex

Identifiers

PMID35673574
PMCPMC9169362

What OpenQuestion holds

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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.