Evidence map›Paper›PMID 39981929›Full record

ReviewMolecular medicine reports2025

The key role of miR‑378 in kidney diseases (Review).

Yangyang Liu, Shuqing Shi, Tao Cheng, Haoshuo Wang, Huan Wang, Yuanhui Hu

Abstract readReview
In one paragraph

Review in Molecular medicine reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yangyang LiuDepartment of Cardiovascular Diseases, Sanming Integrated Medicine Hospital, Sanming, Fujian 365000, P.R. China.
Shuqing ShiDepartment of Cardiovascular Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China.
Tao ChengDepartment of Cardiovascular Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China.
Haoshuo WangDepartment of Endocrinology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China.
Huan WangDepartment of Cardiovascular Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China.
Yuanhui HuDepartment of Cardiovascular Diseases, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs/miRs) are endogenous, small non‑coding RNAs conserved across species that post‑transcriptionally regulate gene expression by both suppressing translation and inducing mRNA degradation. miRNAs are found in various tissues, exhibit variable expression and their dysregulation is implicated in numerous disease processes. Furthermore, miRNA expression levels have a key role in the normal development of kidney tissue and are key regulators of kidney function, modulating diverse biological processes across renal cell lineages. miR‑378 participates in pathological processes associated with kidney diseases, including kidney cancer, kidney transplantation and diabetic nephropathy. Despite its considerable effects on these conditions, a comprehensive summary of the roles of miR‑378 is unavailable. In the present review, the existing literature on miR‑378 in kidney diseases is consolidated, and its validated gene targets and biological effects in both malignant and non‑malignant conditions are highlighted, thereby providing a foundation for future research.

Indexed as

Kidney DiseasesMicroRNAsAnimalsDiabetic NephropathiesGene Expression RegulationHumansKidney NeoplasmsMicroRNAsgene targetskidney diseasesmicroRNA‑378miRNA

Identifiers

PMID39981929
PMCPMC11868772

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Registered trials

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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.