Evidence map›Paper›PMID 26798072›Full record

ArticleMolecular biotechnology2016

Identification of Suitable Endogenous Normalizers for qRT-PCR Analysis of Plasma microRNA Expression in Essential Hypertension.

Mohamed Hassan M Solayman, Taimour Langaee, Archanakumari Patel, Lamia El-Wakeel, Manal El-Hamamsy, Osama Badary, Julie A Johnson

Abstract read
In one paragraph

Article in Molecular biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Heliyon · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Exosomal microRNAs as a promising theragnostic tool for essential hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2020
    Article
  16. Article
  17. Review
  18. Article
  19. microRNA-21 and hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2018
    Review
  20. 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

7 authors at 2 institutions in 2 countries.

Mohamed Hassan M SolaymanDepartment of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Box 100484, Gainesville, FL, 32610-0484, USA.
Taimour LangaeeDepartment of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Box 100484, Gainesville, FL, 32610-0484, USA.
Archanakumari PatelDepartment of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Box 100484, Gainesville, FL, 32610-0484, USA.
Lamia El-WakeelDepartment of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Manal El-HamamsyDepartment of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Osama BadaryDepartment of Clinical Pharmacy, Faculty of Pharmacy, Ain Shams University, Cairo, Egypt.
Julie A JohnsonDepartment of Pharmacotherapy and Translational Research, Center for Pharmacogenomics, College of Pharmacy, University of Florida, Box 100484, Gainesville, FL, 32610-0484, USA. johnson@cop.ufl.edu.
Ain Shams University · EGUniversity of Florida · US

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Pharmacogenomic Evaluation of Antihypertensive ResponsesU01GM074492 · NIGMS · UNIVERSITY OF FLORIDA · PI JOHNSON, JULIE A. · 2005 to 2014
$20.7M
NCATS NIH HHS UL1 TR001427NIGMS NIH HHS U01 GM074492
6 · The paper itself

Abstract

Circulating microRNAs (miRNAs) are promising biomarkers for many diseases. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is a gold standard for miRNA expression profiling that requires proper data normalization. Since there is no universal normalizer, it is recommended to evaluate normalizers under every experimental condition. This study describes the identification of suitable endogenous normalizer(s) (ENs) for plasma miRNA expression in essential hypertension. Expression levels of 5 candidate ENs and 2 plasma quality markers were determined by qRT-PCR in plasma samples from 18 hypertensive patients and 10 healthy controls. NormFinder, GeNorm, and DataAssist software programs were used to select the best EN(s). Expression levels of the 5 candidate ENs were also analyzed in urine samples from hypertensive patients and compared to the plasma samples of the hypertensive patients. Among the analyzed candidates, hsa-miR-92a-3p was identified as the best EN, and hsa-miR-21-5p and hsa-miR-16-5p as the next best. Moreover, hsa-miR-92a-3p showed the most consistent expression between plasma and urine. In conclusion, this study showed that hsa-miR-92a-3p, hsa-miR-21-5p, and hsa-miR-16-5p may be used as normalizers for plasma miRNA expression data in essential hypertension studies.

Indexed as

AdultEssential HypertensionFemaleGene Expression ProfilingGene Expression RegulationGenetic Predisposition to DiseaseHumansHypertensionMaleMicroRNAsMiddle AgedReal-Time Polymerase Chain ReactionYoung AdultMicroRNAsMIRN16 microRNA, humanMIRN21 microRNA, humanMIRN92 microRNA, humanCirculating miRNAEndogenous normalizerEssential hypertensionPlasmaqRT-PCR

Identifiers

PMID26798072
PMCPMC4758859
OpenAlexW2274881815

What OpenQuestion holds

Textmetadata
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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.