Evidence map›Paper›PMID 40687147›Full record

ArticleJournal of inflammation research2025

Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies ISR-Related Genes Driving Immune Regulation in Parkinson's Disease.

Hua Jiang, Xiaotian Zhang, Shengyu Feng, Wei Feng

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Integrated Stress Response Signatures Drive Monocyte Dysfunction inmedRxiv : the preprint server for health sciences · 2025
    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

4 authors.

Hua JiangClinical Laboratory, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaotian ZhangDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.ORCID 0009-0007-0127-0079
Shengyu FengDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.
Wei FengDepartment of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor dysfunction and dopaminergic neuron loss. Although its genetic and molecular underpinnings have been increasingly studied, the pathways driving PD progression remain unclear. The integrated stress response (ISR), a conserved mechanism activated by cellular stress, has been linked to several neurological diseases, but its role in PD and the key ISR-related genes involved are still poorly understood. Materials and Methods: We used publicly available transcriptomic data from GEO, including single-cell RNA sequencing and spatial transcriptomics, to identify ISR-related genes involved in PD progression. ISR scores were compared across brain cell types, and differentially expressed genes in microglia were further screened using Lasso regression and random forest algorithms. Enrichment analyses (GSEA and GSVA) revealed their involvement in immune-related pathways. CIBERSORT was applied to assess immune cell infiltration, while spatial transcriptomics mapped the regional expression of key genes. Finally, Results: We identified four key ISR-related genes ( Conclusion: This study provides new insights into the molecular mechanisms of PD and highlights

Indexed as

bioinformaticsDDIT4integrated stress responseParkinson’s diseasesingle-cell transcriptomicsspatial transcriptomics

Identifiers

PMID40687147
PMCPMC12275912

What Socratic 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 Socratic graph.