Evidence map›Paper›PMID 38012217›Full record

ArticleScientific reports2023

Optimized RT-qPCR and a novel normalization method for validating circulating miRNA biomarkers in ageing-related diseases.

Andrew Want, Karolina Staniak, Wioleta Grabowska-Pyrzewicz, Aleksandra Fesiuk, Anna Barczak, Tomasz Gabryelewicz, Agnieszka Kulczyńska-Przybik, Barbara Mroczko, Urszula Wojda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. 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

9 authors at 4 institutions in 1 country.

Andrew WantLaboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Karolina StaniakLaboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Wioleta Grabowska-PyrzewiczLaboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Aleksandra FesiukLaboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland.
Anna BarczakDementia Diseases Unit, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland.
Tomasz GabryelewiczDementia Diseases Unit, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland.
Agnieszka Kulczyńska-PrzybikDepartment of Neurodegeneration Diagnostics, Faculty of Medicine, Medical University of Bialystok, Białystok, Poland.
Barbara MroczkoDepartment of Neurodegeneration Diagnostics, Faculty of Medicine, Medical University of Bialystok, Białystok, Poland.
Urszula WojdaLaboratory of Preclinical Testing of Higher Standard, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland. u.wojda@nencki.edu.pl.
Polish Academy of Sciences · PLMedical University of Białystok · PLInstytut Biologii Doświadczalnej im. Marcelego Nenckiego · PLMossakowski Medical Research Institute, Polish Academy of Sciences · PL

Funding

European Union Horizon 2020 FET OPEN 737390 (ArrestAD)Polish National Science Centre OPUS 2018/29/B/NZ7/02757
6 · The paper itself

Abstract

Circulating miRNAs have potential as minimally invasive biomarkers for diagnosing various diseases, including ageing-related disorders such as Alzheimer's disease (AD). However, the lack of standardization in the common analysis method, RT-qPCR, and specifically in the normalization step, has resulted in inconsistent data across studies, hindering miRNA clinical implementation as well as basic research. To address this issue, this study proposes an optimized protocol for key steps in miRNA profiling, which incorporates absorbance-based haemolysis detection for assessing sample quality, double spike-in controls for miRNA isolation and reverse transcription, and the use of 7 stable normalizers verified in an aging population, including healthy subjects and individuals at different stages of Alzheimer's disease (140 subjects). The stability of these 7 normalizers was demonstrated using our novel method called BestmiRNorm for identifying optimal normalizers. BestmiRNorm, developed utilizing the Python programming language, enables the assessment of up to 11 potential normalizers. The standardized application of this optimized RT-qPCR protocol and the recommended normalizers are crucial for the development of miRNAs as biomarkers for AD and other ageing-related diseases in clinical diagnostics and basic research.

Indexed as

Alzheimer DiseaseCirculating MicroRNAMicroRNAsAgedAgingBiomarkersGene Expression ProfilingHumansBiomarkersCirculating MicroRNAMicroRNAs

Identifiers

PMID38012217
PMCPMC10682428
OpenAlexW4389040026

What OpenQuestion 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 OpenQuestion graph.