Evidence map›Paper›PMID 38445249›Full record

ArticleVessel plus2023

Plasma microrna quantification protocol.

Sophie Maiocchi, Elizabeth N Collins, Andrew R Peterson, Kyle C Alexander, Dalton J McGlamery, Noah A Cassidy, John S Ikonomidis, Adam W Akerman

Abstract read
In one paragraph

Article in Vessel plus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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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

8 authors.

Sophie MaiocchiDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7545, USA.
Elizabeth N CollinsDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.
Andrew R PetersonDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.
Kyle C AlexanderDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.
Dalton J McGlameryDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.
Noah A CassidyUniversity of North Carolina School of Medicine, Chapel Hill, NC 27599, USA.
John S IkonomidisDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.
Adam W AkermanDepartment of Surgery, Division of Cardiothoracic Surgery, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7065, USA.ORCID 0000-0002-8117-0591

Funding

Enhanced Biochemical Monitoring for Aortic Aneurysm DiseaseR01HL169390 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Adam William Akerman · 2023 to 2026
$2.6M
Device-Based Pathway Intervention: Mechanistic Study of Cellular Localization of Proteolytic Enzymes in Thoracic Aortic Aneurysm DiseaseR56HL161454 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IKONOMIDIS, JOHN S · 2022 to 2022
$686k
Exploration of key proteases and validation of biomarkers in genetically triggered thoracic aortic aneurysmsR21HL148363 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IKONOMIDIS, JOHN S · 2019 to 2020
$233k
NHLBI NIH HHS R01 HL169390NHLBI NIH HHS R21 HL148363NHLBI NIH HHS R56 HL161454
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small non-coding RNA molecules that regulate translation and are involved in many pathological processes. They have emerged as promising biomarkers for diagnosis of conditions such as aortic aneurysm disease. Quantifying miRNAs in plasma is uniquely challenging because of the lack of standardized reproducible protocols. To facilitate the independent verification of conclusions, it is necessary to provide a thorough disclosure of all pertinent experimental details. In this technical note, we present a comprehensive protocol for quantifying plasma miRNAs using droplet digital PCR. We detail the entire workflow, including blood collection, plasma processing, cryo-storage, miRNA isolation, reverse transcription, droplet generation, PCR amplification, fluorescence reading, and data analysis. We offer comprehensive guidance regarding optimization, assay conditions, expected results, and insight into the troubleshooting of common issues. The stepwise normalization and detailed methodological guide enhance reproducibility. Moreover, multiple portions of this protocol may be automated. The data provided in this technical note is demonstrative of the values typically obtained when following its steps. To facilitate standardization in data reporting, we include a table of expected aortic aneurysm-related miRNA levels in healthy human plasma. This versatile protocol can be easily adapted to quantify most circulating miRNAs in plasma, making it a valuable resource for diagnostic development.

Indexed as

aortic aneurysmddPCRMicroRNAplasmaquantification

Identifiers

PMID38445249
PMCPMC10914336

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.