Evidence map›Paper›PMID 38681790›Full record

ArticleJournal of intensive medicine2024

MicroRNA-30a inhibits cell proliferation in a sepsis-induced acute kidney injury model by targeting the YAP-TEAD complex.

Junfeng Su, Ying Wang, Jing Xie, Long Chen, Xinxin Lin, Jiandong Lin, Xiongjian Xiao

Abstract read
In one paragraph

Article in Journal of intensive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. MicroRNA-30a-3p Influences Milk Fat Metabolism by TargetingAnimals : an open access journal from MDPI · 2025
    Article
  4. Article
  5. 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.

Junfeng SuDepartment of General Intensive Care Unit, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Ying WangDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Jing XieDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Long ChenDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Xinxin LinDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Jiandong LinDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Xiongjian XiaoDepartment of Critical Care Medicine, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute kidney injury (AKI) is a primary feature of renal complications in patients with sepsis. MicroRNA (miRNA/miR)-30a is an essential regulator of cardiovascular diseases, tumors, phagocytosis, and other physical processes, but whether it participates in sepsis-induced AKI (sepsis-AKI) is unknown. We aimed to elucidate the functions and molecular mechanism underlying miR-30a activity in sepsis-AKI. Methods: The classical cecal ligation and puncture (CLP) method and lipopolysaccharide (LPS)-induced Human Kidney 2 (HK-2) cells were used to establish Results: Expression levels of miR-30a-3p and miR-30a-5p in renal tissues of the sepsis group were significantly reduced at 12 h and 24 h ( Conclusion: In a background of expression of inflammatory factors, including TNF-α, IL-1β, and IL-6, which were transiently increased in the sepsis-AKI model, miR-30a was down-regulated. Down-regulated miR-30a-3p may promote cell proliferation by targeting

Indexed as

Acute kidney injuryMicroRNA-30aSepsisTEAD1YAP-TEAD complex

Identifiers

PMID38681790
PMCPMC11043643

What OpenQuestion holds

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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.