Evidence map›Paper›PMID 41696752›Full record

ArticleJournal of cell communication and signaling2026

Mendelian randomization analysis identifies HLA-A and AP2M1 as genetic biomarkers linked to immune-endocytic crosstalk in intervertebral disc degeneration.

Yukui Tian, Xue Bai, Nianrong Han, Cheng Wang, Junchang Liu

Abstract read
In one paragraph

Article in Journal of cell communication and signaling, 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. 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

5 authors.

Yukui TianXinjiang Medical University/Xinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine/Xinjiang Uyghur Autonomous Region Institute of Traditional Chinese Medicine Urumqi China.ORCID https://orcid.org/0000-0002-8281-490X
Xue BaiXinjiang Medical University/Xinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine/Xinjiang Uyghur Autonomous Region Institute of Traditional Chinese Medicine Urumqi China.
Nianrong HanXinjiang Uyghur Autonomous Region Institute of Traditional Chinese Medicine Urumqi China.
Cheng WangXinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine Urumqi China.
Junchang LiuXinjiang Medical University/Xinjiang Medical University Affiliated Hospital of Traditional Chinese Medicine/Xinjiang Uyghur Autonomous Region Institute of Traditional Chinese Medicine Urumqi China.ORCID https://orcid.org/0009-0002-8289-8119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intervertebral disc degeneration (IVDD) is a major contributor to chronic spinal disorders, yet the role of endocytosis in its pathogenesis remains incompletely understood. In this study, we systematically investigated endocytosis-related genes associated with IVDD by integrating bulk transcriptome data, single-cell RNA sequencing datasets, and Mendelian randomization (MR) analysis. Differential expression analyses identified six ERGs consistently dysregulated in IVDD, among which HLA-A and AP2M1 exhibited significant causal associations with disease risk in MR analysis and were further validated in independent datasets. Functional enrichment and gene set enrichment analyses indicated that these genes were closely involved in immune-related pathways, including natural killer cell-mediated cytotoxicity and mammalian target of rapamycin signaling. Immune infiltration analysis revealed marked alterations in macrophages, activated CD4

Indexed as

AP2M1biomarkersendocytosisHLA‐Aintervertebral disc degeneration

Identifiers

PMID41696752
PMCPMC12906310

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.