TFCP2 is recognized as a dynamic monitoring index of pneumoconiosis by combining radiomics with transcriptomics.

Int Immunopharmacol

The First Affiliated Hospital of Anhui University of Science and Technology (Huainan First People's Hospital), School of Medicine, Huainan, PR China; Department of Laboratory Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology

Published: April 2025


Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Objective: Herein, we employed a novel integrated radiomics and transcriptomics approach to identify key biomarkers for pneumoconiosis. Specifically, we combined thoracic Computed Tomography (CT) imaging-based phenomics and peripheral blood gene expression analysis to improve early diagnosis and risk stratification of pneumoconiosis.

Methods: The study cohort comprised individuals with diagnosed pneumoconiosis and healthy coal miners. Participants were categorized into low-, medium-, and high-risk groups, as well as a pneumoconiosis group, based on radiomics scoring. Peripheral blood samples were collected for transcriptome sequencing analysis, and key genes were selected through differential expression and trend analysis. Mfuzz clustering analysis and KEGG pathway enrichment analysis were utilized to further investigate gene expression patterns and functions. The expression of key genes was verified using real-time quantitative PCR and western blotting. The diagnostic value of key genes was assessed using Receiver Operating Characteristic (ROC) analysis. A mouse model was constructed to assess the role of TFCP2 in pneumoconiosis and to explore its potential mechanisms.

Results: Our findings revealed that heterogeneous gene expression patterns correlated with an increased pneumoconiosis risk. Additionally, TFCP2 emerged as a significant biomarker (AUC = 0.799), with its expression levels increasing with pneumoconiosis risk. Furthermore, TFCP2 upregulation correlated closely with Extracellular Matrix (ECM)-receptor interactions and AGE-RAGE signaling pathways, which have been associated with fibrosis and inflammatory responses in lung tissue. Moreover, silencing TFCP2 in a mouse model improved silica-induced pulmonary fibrosis, with USP22 identified as a downstream target gene of TFCP2.

Conclusion: TFCP2 may serve as a potential biomarker and therapeutic target for the progression of pneumoconiosis. Its high expression in lung epithelial cells may exacerbate pulmonary fibrosis by promoting EMT and ECM deposition. This study provides new molecular targets for the early diagnosis and treatment of pneumoconiosis.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.intimp.2025.114457DOI Listing

Publication Analysis

Top Keywords

gene expression
12
key genes
12
pneumoconiosis
9
radiomics transcriptomics
8
peripheral blood
8
early diagnosis
8
expression patterns
8
mouse model
8
pneumoconiosis risk
8
pulmonary fibrosis
8

Similar Publications

Background: Alzheimer's disease (AD) patients and animal models exhibit an altered gut microbiome that is associated with pathological changes in the brain. Intestinal miRNA enters bacteria and regulates bacterial metabolism and proliferation. This study aimed to investigate whether the manipulation of miRNA could alter the gut microbiome and AD pathologies.

View Article and Find Full Text PDF

Nuclear receptors (NRs) are a superfamily of ligand-activated transcription factors that regulate gene expression in response to metabolic, hormonal, and environmental signals. These receptors play a critical role in metabolic homeostasis, inflammation, immune function, and disease pathogenesis, positioning them as key therapeutic targets. This review explores the mechanistic roles of NRs such as PPARs, FXR, LXR, and thyroid hormone receptors (THRs) in regulating lipid and glucose metabolism, energy expenditure, cardiovascular health, and neurodegeneration.

View Article and Find Full Text PDF

Background: Recent advances in high-throughput sequencing technologies have enabled the collection and sharing of a massive amount of omics data, along with its associated metadata-descriptive information that contextualizes the data, including phenotypic traits and experimental design. Enhancing metadata availability is critical to ensure data reusability and reproducibility and to facilitate novel biomedical discoveries through effective data reuse. Yet, incomplete metadata accompanying public omics data may hinder reproducibility and reusability and limit secondary analyses.

View Article and Find Full Text PDF

Background: Gastric cancer is one of the most common cancers worldwide, with its prognosis influenced by factors such as tumor clinical stage, histological type, and the patient's overall health. Recent studies highlight the critical role of lymphatic endothelial cells (LECs) in the tumor microenvironment. Perturbations in LEC function in gastric cancer, marked by aberrant activation or damage, disrupt lymphatic fluid dynamics and impede immune cell infiltration, thereby modulating tumor progression and patient prognosis.

View Article and Find Full Text PDF

Background: Most RNA-seq datasets harbor genes with extreme expression levels in some samples. Such extreme outliers are usually treated as technical errors and are removed from the data before further statistical analysis. Here we focus on the patterns of such outlier gene expression to investigate whether they provide insights into the underlying biology.

View Article and Find Full Text PDF