Evidence map›Paper›PMID 41438766›Full record

ArticleFrontiers in immunology2025

SCPEP1

Xiang Zhou, Tong Lu, Ran Xu, Chenghao Wang, Simiao Chen, Jing Chen, Xiaoyan Chang, Meifeng Li, Jiaxin Shi, Chengyu Xu and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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

14 authors.

Xiang ZhouDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Tong LuDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ran XuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Chenghao WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Simiao ChenDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Jing ChenDepartment of Nephrology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Xiaoyan ChangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Meifeng LiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Jiaxin ShiDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Chengyu XuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Yupeng ZhaoDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Bo PengDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Jiaying ZhaoDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.
Linyou ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, Hei Longjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Idiopathic pulmonary fibrosis (IPF) is a chronic and fatal interstitial lung disease marked by progressive extracellular matrix accumulation and irreversible lung architecture remodeling. Oxidative stress (OS) plays a crucial role in IPF pathogenesis, yet its role across distinct cellular compartments and tissue microenvironments remains incompletely characterized. Methods: We integrated single-cell RNA sequencing (scRNA-seq), spatial transcriptomics (stRNA-seq), and bulk RNA-seq datasets to comprehensively characterize oxidative stress activity across cellular and tissue scales in IPF lungs. Oxidative stress scores were calculated using multiple enrichment algorithms, and machine learning models (LASSO, Random Forest, Boruta, Bayesian, LVQ, Treebag) were applied to identify robust OS-related diagnostic biomarkers. Expression patterns were validated in public datasets and a bleomycin-induced C57BL/6 mouse model. Cell-cell communication and gene regulatory pathways were further explored using CellChat and pseudotime trajectory analysis. Results: Oxidative stress activity was significantly elevated in IPF lung tissue and specifically enriched in basal cells. Among 71 candidate OS-related genes, SCPEP1 emerged as the most robust biomarker, consistently upregulated across multiple datasets and experimental validation, with an AUC of 0.857 in the training cohort. SCPEP1 expression was spatially confined to airway-adjacent regions and highly specific to basal cells. SCPEP1 Conclusion: Our multi-omics integration revealed SCPEP1

Indexed as

Idiopathic Pulmonary FibrosisOxidative StressSignal TransductionAnimalsBiomarkersDisease Models, AnimalGene Expression ProfilingGene Regulatory NetworksHumansLungMaleMiceMice, Inbred C57BLSingle-Cell AnalysisBiomarkersidiopathic pulmonary fibrosismachine learningoxidative stressSCPEP1single-cell RNA sequencingspatialtranscriptomics

Identifiers

PMID41438766
PMCPMC12719287

What Socratic holds

Textmetadata
LicenceCC BY
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.