Evidence map›Paper›PMID 41907223›Full record

ArticleNon-coding RNA research2026

Hsa_circ_0101645 contributes to excessive autophagy and apoptosis in intervertebral disc degeneration by acting as a miR-1304-5p sponge modulating BNIP3 expression.

Jianhai Luo, Tong Yu, Pengcheng Hu, Jie Liu

Abstract read
In one paragraph

Article in Non-coding RNA research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Jianhai LuoDepartment of Orthopaedics, the First People's Hospital of Yunnan Province & the Affiliated Hospital of Kunming University of Science and Technology, China.
Tong YuDepartment of Orthopaedics, the First People's Hospital of Yunnan Province & the Affiliated Hospital of Kunming University of Science and Technology, China.
Pengcheng HuDepartment of Orthopaedics, the First People's Hospital of Yunnan Province & the Affiliated Hospital of Kunming University of Science and Technology, China.
Jie LiuDepartment of Orthopaedics, the First People's Hospital of Yunnan Province & the Affiliated Hospital of Kunming University of Science and Technology, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intervertebral disc (IVD) degeneration (IVDD) is the pathological foundation and principal cause for degenerative spine related diseases. Currently, its molecular pathogenesis and reliable biomarkers remain poorly understood. This study intends to elucidate the potential molecular mechanisms of circular RNAs (circRNAs) in IVDD, and to identify novel targeted therapeutic strategies. Methods: Differentially expressed circRNAs (DE-circRNAs) were obtained by a secondary analysis of the IVDD-related dataset GSE67566, followed by enrichment analysis of their host genes. Both Results: In the bioinformatics, there were 354 significantly down-regulated and 282 up-regulated DE-circRNAs in IVDD. The host genes of these circRNAs were mainly enriched in cell morphogenesis, autophagy, and apoptosis. In clinical samples, hsa_circ_0101645 in DE-circRNAs was markedly overexpressed in endplate chondrocytes (EPC) derived from IVDD patients and was predominantly localized in the cytoplasm. Conclusions: Hsa_circ_0101645 service as ceRNA that facilitates IVDD process by mediating proliferation, apoptosis, and excessive autophagy of CEP via the miR-1304-5p/BNIP3 axis. These findings suggest that hsa_circ_0101645 represents a promising molecular target for IVDD therapy.

Indexed as

AutophagyBioinformaticsCompeting endogenous RNAEndplate chondrocytesIntervertebral disc degeneration

Identifiers

PMID41907223
PMCPMC13031041

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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.