Evidence map›Paper›PMID 30019103›Full record

SynthesisJournal of nephrology2018

Identification of candidate microRNA biomarkers in diabetic nephropathy: a meta-analysis of profiling studies.

Alieh Gholaminejad, Hossein Abdul Tehrani, Mohammad Gholami Fesharaki

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Journal of nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
2.5field-weighted citation impact, top 10% 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

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 68 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Alieh GholaminejadDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal Al Ahmad Street, No. 7, P.O. Box 14115-111, Tehran, Tehran Province, Iran.
Hossein Abdul TehraniDepartment of Medical Biotechnology, Faculty of Medical Sciences, Tarbiat Modares University, Jalal Al Ahmad Street, No. 7, P.O. Box 14115-111, Tehran, Tehran Province, Iran. h.tehrani@modares.ac.ir.
Mohammad Gholami FesharakiDepartment of Biostatistics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Tarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim was to perform a meta-analysis on the miRNA expression profiling studies in diabetic nephropathy (DN) to identify candidate diagnostic biomarkers.

methodsA comprehensive literature search was done in several databases and 53 DN miRNA expression studies were selected. To identify significant DN-miR meta-signatures, two meta-analysis methods were employed: vote-counting strategy and the robust rank aggregation method. The targets of DN-miRs were obtained and a gene set enrichment analysis was carried out to identify the pathways most strongly affected by dysregulation of these miRNAs.

resultsWe identified a significant miRNA meta-signature common to both meta-analysis approaches of three up-regulated (miR-21-5p, miR-146a-5p, miR-10a-5p) and two down-regulated (miR-25-3p and miR-26a-5p) miRNAs. Besides that, subgroup analyses divided and compared the differentially expressed miRNAs according to species (human and animal), types of diabetes (T1DN and T2DN) and tissue types (kidney, blood and urine). Enrichment analysis confirmed that DN-miRs supportively target functionally related genes in signaling and community pathways in DN.

conclusionFive highly significant and consistently dysregulated miRNAs were identified, and future studies should focus on discovering their potential effect on DN and their clinical value as DN biomarkers and therapeutic mediators.

Indexed as

TranscriptomeDiabetic NephropathiesDisease ProgressionGene Expression ProfilingGene Expression RegulationGenetic MarkersHumansMicroRNAsSignal TransductionGenetic MarkersMicroRNAs

Identifiers

PMID30019103
OpenAlexW2883135101

What Socratic 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 Socratic graph.