ReviewFrontiers in immunology2023
Biomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies.
Review in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- [Extrapulmonary sarcoidosis with multiorgan involvement: a complex case with renal, neurological, and gastrointestinal manifestations].Innere Medizin (Heidelberg, Germany) · 2026Article
- Endogenous Hypersensitivity Infection: A Unifying Framework forMicroorganisms · 2026Review
- Biomarkers and genetic determinants of cardiac sarcoidosis: current status, the unmet needs and future perspectives.Frontiers in cardiovascular medicine · 2026Review
- New proteomic biomarkers identified in plasma extracellular vesicles in sarcoidosis: a case-control matched study.Frontiers in immunology · 2026Article
- New proteomic biomarkers identified in plasma extracellular vesicles in sarcoidosis: a case-control matched study.bioRxiv : the preprint server for biology · 2025Article
- Serum metabolomics in pulmonary sarcoidosis: metabolic signatures across prognoses.BMC pulmonary medicine · 2025Article
- Global burden of pulmonary sarcoidosis from 1990 to 2021: a comprehensive analysis based on the GBD 2021 study.Frontiers in medicine · 2025Article
- Cardiac sarcoidosis: diagnosis and management.Frontiers in cardiovascular medicine · 2024Review
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Sarcoidosis is a chronic granulomatous disorder characterized by unknown etiology, undetermined mechanisms, and non-specific therapies except TNF blockade. To improve our understanding of the pathogenicity and to predict the outcomes of the disease, the identification of new biomarkers and molecular endotypes is sorely needed. In this study, we systematically evaluate the biomarkers identified through Omics and non-Omics approaches in sarcoidosis. Most of the currently documented biomarkers for sarcoidosis are mainly identified through conventional "one-for-all" non-Omics targeted studies. Although the application of machine learning algorithms to identify biomarkers and endotypes from unbiased comprehensive Omics studies is still in its infancy, a series of biomarkers, overwhelmingly for diagnosis to differentiate sarcoidosis from healthy controls have been reported. In view of the fact that current biomarker profiles in sarcoidosis are scarce, fragmented and mostly not validated, there is an urgent need to identify novel sarcoidosis biomarkers and molecular endotypes using more advanced Omics approaches to facilitate disease diagnosis and prognosis, resolve disease heterogeneity, and facilitate personalized medicine.
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Registered trials
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