ArticleFrontiers in medicine2022
Integrative bioinformatics analysis to explore a robust diagnostic signature and landscape of immune cell infiltration in sarcoidosis.
Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Phenotypes and Serum Biomarkers in Sarcoidosis.Diagnostics (Basel, Switzerland) · 2024Review
- Bioinformatic meta-analysis reveals novel differentially expressed genes and pathways in sarcoidosis.Frontiers in medicine · 2024Article
- Identification and validation of hub differential genes in pulmonary sarcoidosis.Frontiers in immunology · 2024Article
- Article
- Identification of PLOD3 and LRRN3 as potential biomarkers for Parkinson's disease based on integrative analysis.NPJ Parkinson's disease · 2023Article
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Authors and funding
12 authors at 2 institutions in 1 country.
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Abstract
Background: The unknown etiology of sarcoidosis with variable clinical features leads to delayed diagnosis and limited therapeutic strategies. Hence, exploring the latent mechanisms and constructing an accessible and reliable diagnostic model of sarcoidosis is vital for innovative therapeutic approaches to improve prognosis. Methods: This retrospective study analyzed transcriptomes from 11 independent sarcoidosis cohorts, comprising 313 patients and 400 healthy controls. The weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) analysis were performed to identify molecular biomarkers. Machine learning was employed to fit a diagnostic model. The potential pathogenesis and immune landscape were detected by bioinformatics tools. Results: A 10-gene signature SARDS consisting of Conclusions: Our study identified and validated molecular biomarkers for the diagnosis of sarcoidosis and constructed the diagnostic model SARDS to improve the accuracy of early diagnosis of the disease.
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