Evidence map›Paper›PMID 40055913›Full record

ArticleActa biochimica et biophysica Sinica2025

circ_0000389 inhibits intervertebral disc degeneration by targeting the miR-346/KLF7 axis.

Chun Liu, Cheng Yu, Yang Duan, Jianjun Li, Xiang Chen, Wenning Xu, Sujun Qiu

Abstract read
In one paragraph

Article in Acta biochimica et biophysica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

7 authors.

Chun LiuDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Cheng YuDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Yang DuanDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Jianjun LiDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Xiang ChenDepartment of Pharmacy, the Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou 528200, China.
Wenning XuDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Sujun QiuDepartment of Spinal Surgery, Orthopedic Medical Center, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intervertebral disc degeneration (IVDD) is a major cause of low back pain. An increasing number of studies have demonstrated that circRNAs regulate the progression of IVDD. However, the specific role of circ_0000389 in the progression of IVDD is not clear. In this study, circ_0000389 is selected by bioinformatics analysis of the GSE67566 dataset. RT-qPCR is performed to detect the expressions of circ_0000389, miR-346 and KLF7 in nucleus pulposus (NP) tissues. The proliferative capacity of nucleus pulposus cells (NPCs) is examined via CCK-8 assay. Western blot analysis of extracellular matrix (ECM) catabolism is performed in NPCs. Dual-luciferase reporter gene assays and RNA immunoprecipitation (RIP) confirm the interaction of circ_0000389 with miR-346 and KLF7. The expression of circ_0000389 is significantly downregulated in degenerating NP tissues. Functionally, circ_0000389 inhibits ECM catabolism. Mechanistically, we identify

Indexed as

Intervertebral Disc DegenerationKruppel-Like Transcription FactorsMicroRNAsRNA, CircularCell ProliferationExtracellular MatrixHumansMaleMiddle AgedNucleus PulposusKLF7 protein, humanKruppel-Like Transcription FactorsMicroRNAsRNA, Circularcirc_0000389intervertebral disc degenerationKLF7miR-346

Identifiers

PMID40055913
PMCPMC12616724

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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.