Evidence map›Paper›PMID 35740375›Full record

ArticleBiomedicines2022

Extraction-Free Absolute Quantification of Circulating miRNAs by Chip-Based Digital PCR.

Yuri D'Alessandra, Vincenza Valerio, Donato Moschetta, Ilaria Massaiu, Michele Bozzi, Maddalena Conte, Valentina Parisi, Michele Ciccarelli, Dario Leosco, Veronika A Myasoedova and 1 more

Abstract read
In one paragraph

Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
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.

Yuri D'AlessandraCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Vincenza ValerioCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Donato MoschettaCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Ilaria MassaiuCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Michele BozziCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.
Maddalena ConteDepartment of Translational Medical Sciences, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0002-6840-8593
Valentina ParisiDepartment of Translational Medical Sciences, University of Naples Federico II, 80138 Naples, Italy.ORCID 0000-0003-4614-474X
Michele CiccarelliDepartment of Medicine, Surgery and Dentistry, University of Salerno, 84084 Fisciano, Italy.ORCID 0000-0003-2379-1960
Dario LeoscoDepartment of Translational Medical Sciences, University of Naples Federico II, 80138 Naples, Italy.
Veronika A MyasoedovaCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.ORCID 0000-0001-8414-5300
Paolo PoggioCentro Cardiologico Monzino IRCCS, 20138 Milan, Italy.

Funding

Gigi e Pupa Ferrari ONLUS FPF-14The Italian Ministry of Health GR-2018-12366423
6 · The paper itself

Abstract

Circulating microRNAs (miRNA) have been proposed as specific biomarkers for several diseases. Quantitative Real-Time PCR (RT-qPCR) is the gold standard technique currently used to evaluate miRNAs expression from different sources. In the last few years, digital PCR (dPCR) emerged as a complementary and accurate detection method. When dealing with gene expression, the first and most delicate step is nucleic-acid isolation. However, all currently available protocols for RNA extraction suffer from the variable loss of RNA species due to the chemicals and number of steps involved, from sample lysis to nucleic acid elution. Here, we evaluated a new process for the detection of circulating miRNAs, consisting of sample lysis followed by direct evaluation by dPCR in plasma from healthy donors and in the cardiovascular setting. Our results showed that dPCR is able to detect, with high accuracy, low-copy-number as well as highly expressed miRNAs in human plasma samples without the need for RNA extraction. Moreover, we assessed a known myocardial infarction-related miR-133a in acute myocardial infarct patients vs. healthy subjects. In conclusion, our results show the suitability of the extraction-free quantification of circulating miRNAs as disease markers by direct dPCR.

Indexed as

biomarkersdigital PCRextraction-freemicroRNAplasma

Identifiers

PMID35740375
PMCPMC9220272

What Socratic holds

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LicenceCC BY
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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 Socratic graph.