Evidence map›Paper›PMID 38866905›Full record

ArticleScientific reports2024

Small RNA signatures of acute ischemic stroke in L1CAM positive extracellular vesicles.

Bharti Manwani, Nivetha Brathaban, Abiya Baqai, Yashee Munshi, Hilda W Ahnstedt, Mengqi Zhang, Kajsa Arkelius, Ted Llera, Edilberto Amorim, Fanny M Elahi and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Review
  8. Review
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.

Bharti ManwaniDepartment of Neurology, University of Texas Health Science Center, Houston, TX, 77030, USA.
Nivetha BrathabanDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Abiya BaqaiDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Yashee MunshiDepartment of Neurology, University of Texas Health Science Center, Houston, TX, 77030, USA.
Hilda W AhnstedtDepartment of Neurology, University of Texas Health Science Center, Houston, TX, 77030, USA.
Mengqi ZhangDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Kajsa ArkeliusDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Ted LleraDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Edilberto AmorimDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Fanny M ElahiDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA.
Neel S SinghalDepartment of Neurology, University of California-San Francisco, San Francisco, CA, 94158, USA. Neel.singhal@ucsf.edu.

Funding

Research Education ComponentP30AG066514 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Mary Sano · 2020 to 2026
$31.0M
Sexual Dimorphism in Cerebral Amyloid Angiopathy and Vascular Dementia: Investigating the Role of Fibrinolytic SystemR21AG070860 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MANWANI, BHARTI · 2021 to 2022
$429k
Resilience mechanisms of Arctic ground squirrel neuronsIK2BX005369 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI NEEL S SINGHAL · 2022 to 2026
–
A Precision Medicine Approach To Study Targetable Pathways in Vascular DementiaIK2CX002180 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI ELAHI, FANNY M · 2021 to 2024
–
American Heart Association 18CDA34030443American Heart Association 20CDA35310306BLRD VA IK2 BX005369CSRD VA IK2 CX002180NIA NIH HHS P30 AG066514NIA NIH HHS R21 AG070860
6 · The paper itself

Abstract

L1CAM-positive extracellular vesicles (L1EV) are an emerging biomarker that may better reflect ongoing neuronal damage than other blood-based biomarkers. The physiological roles and regulation of L1EVs and their small RNA cargoes following stroke is unknown. We sought to characterize L1EV small RNAs following stroke and assess L1EV RNA signatures for diagnosing stroke using weighted gene co-expression network analysis and random forest (RF) machine learning algorithms. Interestingly, small RNA sequencing of plasma L1EVs from patients with stroke and control patients (n = 28) identified micro(mi)RNAs known to be enriched in the brain. Weighted gene co-expression network analysis (WGCNA) revealed small RNA transcript modules correlated to diagnosis, initial NIH stroke scale, and age. L1EV RNA signatures associated with the diagnosis of AIS were derived from WGCNA and RF classification. These small RNA signatures demonstrated a high degree of accuracy in the diagnosis of AIS with an area under the curve (AUC) of the signatures ranging from 0.833 to 0.932. Further work is necessary to understand the role of small RNA L1EV cargoes in the response to brain injury, however, this study supports the utility of L1EV small RNA signatures as a biomarker of stroke.

Indexed as

BiomarkersExtracellular VesiclesIschemic StrokeNeural Cell Adhesion Molecule L1AgedFemaleHumansMachine LearningMaleMicroRNAsMiddle AgedBiomarkersL1CAM protein, humanMicroRNAsNeural Cell Adhesion Molecule L1BiomarkerExosomeExtracellular vesicleMicroRNANon-coding RNAStroke

Identifiers

PMID38866905
PMCPMC11169361

What OpenQuestion holds

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Registered trials

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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.