Evidence map›Paper›PMID 38778602›Full record

ReviewMicroRNA (Shariqah, United Arab Emirates)2024

Urinary miRNAs: Technical Updates.

Santhi Raveendran, Alia Al Massih, Muna Al Hashmi, Asma Saeed, Iman Al-Azwani, Rebecca Mathew, Sara Tomei

Abstract readReview
PubMed Publisher
In one paragraph

Review in MicroRNA (Shariqah, United Arab Emirates), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Santhi RaveendranOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Alia Al MassihOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Muna Al HashmiOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Asma SaeedOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Iman Al-AzwaniOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Rebecca MathewOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.
Sara TomeiOmics Core, Integrated Genomics Services (IGS), Research Department, Sidra Medicine, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to its non-invasive nature and easy accessibility, urine serves as a convenient biological fluid for research purposes. Furthermore, urine samples are uncomplicated to preserve and relatively inexpensive. MicroRNAs (miRNAs), small molecules that regulate gene expression post-transcriptionally, play vital roles in numerous cellular processes, including apoptosis, cell differentiation, development, and proliferation. Their dysregulated expression in urine has been proposed as a potential biomarker for various human diseases, including bladder cancer. To draw reliable conclusions about the roles of urinary miRNAs in human diseases, it is essential to have dependable and reproducible methods for miRNA extraction and profiling. In this review, we address the technical challenges associated with studying urinary miRNAs and provide an update on the current technologies used for urinary miRNA isolation, quality control assessment, and miRNA profiling, highlighting both their advantages and limitations.

Indexed as

MicroRNAsBiomarkersGene Expression ProfilingHumansUrinary Bladder NeoplasmsBiomarkersMicroRNAsbiomarkers.cancerisolationmiRNAprofilingurine

Identifiers

PMID38778602

What OpenQuestion holds

Textmetadata
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.