Evidence map›Paper›PMID 26973290›Full record

ReviewCurrent diabetes reports2016

MicroRNAs in Diabetic Nephropathy: From Biomarkers to Therapy.

Kate Simpson, Alexa Wonnacott, Donald J Fraser, Timothy Bowen

Open access · hybridAbstract readReview
In one paragraph

Review in Current diabetes reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
8.9field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 1 synthesis or guideline pooled it, 140 citations in OpenAlex.

  1. A Systematic Study of Dysregulated MicroRNA in Type 2 Diabetes Mellitus.International journal of molecular sciences · 2017
    Pooled it
  2. Article
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  18. Micro-RNA Implications in Type-1 Diabetes Mellitus: A Review of Literature.International journal of molecular sciences · 2021
    Review
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Kate SimpsonWales Kidney Research Unit, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Alexa WonnacottWales Kidney Research Unit, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Donald J FraserWales Kidney Research Unit, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK.
Timothy BowenWales Kidney Research Unit, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Heath Park, Cardiff, CF14 4XN, UK. bowent@cf.ac.uk.
Cardiff University · GB

Funding

Department of Health II-LA-0712-20003
6 · The paper itself

Abstract

Recent estimates suggest that 1 in 12 of the global population suffers from diabetes mellitus. Approximately 40 % of those affected will go on to develop diabetes-related chronic kidney disease or diabetic nephropathy (DN). DN is a major cause of disability and premature death. Existing tests for prognostic purposes are limited and can be invasive, and interventions to delay progression are challenging. MicroRNAs (miRNAs) are a recently described class of molecular regulators found ubiquitously in human tissues and bodily fluids, where they are highly stable. Alterations in miRNA expression profiles have been observed in numerous diseases. Blood and tissue miRNAs are already established cancer biomarkers, and cardiovascular, metabolic and immune disease miRNA biomarkers are under development. Urinary miRNAs represent a potential novel source of non-invasive biomarkers for kidney diseases, including DN. In addition, recent data suggest that miRNAs may have therapeutic applications. Here, we review the utility of miRNAs as biomarkers for the early detection and progression of DN, assess emerging data on miRNAs implicated in DN pathology and discuss how the data from both fields may contribute to the development of novel therapeutic agents.

Indexed as

AnimalsDiabetic NephropathiesDisease ProgressionGenetic MarkersHumansMicroRNAsOrgan SpecificityRenal Insufficiency, ChronicGenetic MarkersMicroRNAsBiomarkerDiabetic nephropathyFibrosisMicroRNANon-coding RNATherapeutics

Identifiers

PMID26973290
PMCPMC4791477
OpenAlexW2302520752

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.