Evidence map›Paper›PMID 37071449›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

MicroRNA expression in extracellular vesicles as a novel blood-based biomarker for Alzheimer's disease.

Ashish Kumar, Yixin Su, Mitu Sharma, Sangeeta Singh, Susy Kim, Jeremy J Peavey, Cynthia K Suerken, Samuel N Lockhart, Christopher T Whitlow, Suzanne Craft and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
13.7field-weighted citation impact, top 1% 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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Article

11 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

12 authors at 2 institutions in 1 country.

Ashish KumarDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Yixin SuDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Mitu SharmaDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Sangeeta SinghDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Susy KimDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Jeremy J PeaveyDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Cynthia K SuerkenDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Samuel N LockhartDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Christopher T WhitlowDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Suzanne CraftDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Timothy M HughesDepartment of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Gagan DeepDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0003-4445-8796
Wake Forest University · USAtrium Health Wake Forest Baptist · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Exosome Mediated Alterations in Cellular Metabolism in the Pathogenesis and Progression of Alzheimer's DiseaseR01AG061805 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MOLINA, ANTHONY J · 2018 to 2022
$3.5M
Multi-Ethnic Study of Atherosclerosis- Cellular Exosomes in Neurodegeneration and Dementia (MESA-CEND)RF1AG068629 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEEP, GAGAN, HUGHES, TIMOTHY M. · 2021 to 2022
$2.4M
Multi-Ethnic Study of Atherosclerosis- Cellular Exosomes in Neurodegeneration and Dementia (MESA-CEND)R01AG068629 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DEEP, GAGAN, HUGHES, TIMOTHY M. · 2024 to 2025
$1.5M
NCI NIH HHS P30 CA012197NIA NIH HHS P30 AG072947NIA NIH HHS R01 AG061805NIA NIH HHS R01 AG068629NIA NIH HHS RF1 AG068629NIA NIH HHS RF1AG068629NIH HHS
6 · The paper itself

Abstract

introductionBrain cell-derived small extracellular vesicles (sEVs) in blood offer unique cellular and molecular information related to the onset and progression of Alzheimer's disease (AD). We simultaneously enriched six specific sEV subtypes from the plasma and analyzed a selected panel of microRNAs (miRNAs) in older adults with/without cognitive impairment.

methodsTotal sEVs were isolated from the plasma of participants with normal cognition (CN; n = 11), mild cognitive impairment (MCI; n = 11), MCI conversion to AD dementia (MCI-AD; n = 6), and AD dementia (n = 11). Various brain cell-derived sEVs (from neurons, astrocytes, microglia, oligodendrocytes, pericytes, and endothelial cells) were enriched and analyzed for specific miRNAs.

resultsmiRNAs in sEV subtypes differentially expressed in MCI, MCI-AD, and AD dementia compared to the CN group clearly distinguished dementia status, with an area under the curve (AUC) > 0.90 and correlated with the temporal cortical region thickness on magnetic resonance imaging (MRI). DISCUSSION: miRNA analyses in specific sEVs could serve as a novel blood-based molecular biomarker for AD. HIGHLIGHTS: Multiple brain cell-derived small extracellular vesicles (sEVs) could be isolated simultaneously from blood. MicroRNA (miRNA) expression in sEVs could detect Alzheimer's disease (AD) with high specificity and sensitivity. miRNA expression in sEVs correlated with cortical region thickness on magnetic resonance imaging (MRI). Altered expression of miRNAs in sEV

Indexed as

Alzheimer DiseaseCognitive DysfunctionExtracellular VesiclesMicroRNAsAgedBiomarkersEndothelial CellsHumansBiomarkersMicroRNAsAlzheimer's diseasebiomarkerbrain cellsextracellular vesiclesmicroRNA

Identifiers

PMID37071449
PMCPMC11663460
OpenAlexW4366240034

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.