Evidence map›Paper›PMID 40332489›Full record

ArticleInternational journal of molecular sciences2025

Plasma Levels of MicroRNA Let-7c-5p May Predict Risk of Acute Chest Syndrome in Patients with Sickle Cell Disease.

James Fan, Joanna Gemel, Eric C Beyer, Gabrielle Lapping-Carr

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

James FanDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-1772-0509
Joanna GemelDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.
Eric C BeyerDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-8044-1356
Gabrielle Lapping-CarrDepartment of Pediatrics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-6185-1605

Funding

The Institute for Translational MedicineUL1TR002389 · NCATS · UNIVERSITY OF CHICAGO · PI Joshua J Jacobs, DAVID O MELTZER · 2017 to 2026
$71.6M
NCATS NIH HHS 5UL1TR002389-07NCATS NIH HHS UL1 TR002389
6 · The paper itself

Abstract

Acute chest syndrome (ACS) is among the most serious complications of sickle cell disease (SCD). While the pathogenesis of ACS is incompletely understood, endothelial damage and microvascular occlusion are critical components. Our previous studies have implicated small extracellular vesicles in the plasma of subjects with SCD in causing endothelial dysfunction. This suggested that microRNAs within these small EVs might be responsible for endothelial damage. The sequencing of microRNAs in small EVs from the plasma of subjects with SCD revealed that several miRNAs were differentially expressed between subjects with and without ACS history, including let-7c-5p. In a replication cohort, plasma let-7c-5p levels were quantified via RT-qPCR. The baseline plasma let-7c-5p level was twofold higher in patients without previous ACS. Furthermore, we observed a positive correlation between let-7c-5p levels and time to subsequent ACS events. These findings suggest a role for let-7c-5p in endothelial disruption underlying ACS pathogenesis. It may also serve as a novel biomarker for ACS detection and the prediction of disease progression.

Indexed as

Acute Chest SyndromeAnemia, Sickle CellMicroRNAsAdultBiomarkersFemaleHumansMaleMiddle AgedBiomarkersMicroRNAsmirnlet7 microRNA, humanacute chest syndromeextracellular vesiclesmiRNAsickle cell disease

Identifiers

PMID40332489
PMCPMC12028041

What Socratic holds

Textmetadata
LicenceCC BY
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.