Lysosomal Dysfunction Is Associated With Intervertebral Disc Degeneration: Multiomics and Machine Learning Identify Molecular Subtypes and Hub Genes.

Yang Yang, Hong Li, Yixuan Ou, Yaping Yu, Kaiqiang Sun, Shixing Chen, Chenglong Ji

Abstract read

In one paragraph

Article in The journal of gene medicine, 2026. 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

7 authors.

Yang YangDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.

Hong LiDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.

Yixuan OuDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.

Yaping YuDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.

Kaiqiang SunDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0002-0272-8383

Shixing ChenDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.

Chenglong JiDepartment of Orthopedic Surgery, Changzheng Hospital, Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0001-9443-8369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intervertebral disc degeneration (IVDD) is closely associated with cellular senescence and defective autophagic degradation, but the molecular heterogeneity and functional significance of lysosome-related alterations remain incompletely understood. We integrated bulk transcriptomic datasets (GSE56081 and GSE70362) and single-cell RNA-sequencing data (GSE153066) using consensus clustering, weighted gene coexpression network analysis, machine-learning algorithms, immune-signature analysis, and covariate-adjusted correlation testing. Candidate genes were evaluated in human and rat disc tissues, and PLD3 was further examined by knockdown and overexpression in H

Indexed as

Intervertebral Disc DegenerationLysosomesMachine LearningAnimalsAutophagyCellular SenescenceGene Expression ProfilingGene Regulatory NetworksHumansMaleNucleus PulposusRatsTranscriptomecellular senescenceintervertebral disc degenerationlithocholic acidlysosomemachine learningmolecular subtypes

Identifiers

PMID42689520

DOI10.1002/jgm.70109

PMCPMC13539544

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.