Biomarkers and molecular endotypes of sarcoidosis: lessons from omics and non-omics studies.

Autor:	Ji HL; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.; Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States., Xi NMS; Department of Mathematics and Statistics at Loyola University Chicago, Chicago, IL, United States., Mohan C; Biomedical Engineering & Medicine, University of Houston, Houston, TX, United States., Yan X; Department of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine Yale New Haven Hospital and Yale School of Medicine, New Haven, CT, United States., Jain KG; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.; Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States., Zang QS; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.; Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States., Gahtan V; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.; Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States., Zhao R; Burn and Shock Trauma Research Institute, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.; Department of Surgery, Stritch School of Medicine, Loyola University Chicago Health Sciences Division, Maywood, IL, United States.
Jazyk:	angličtina
Zdroj:	Frontiers in immunology [Front Immunol] 2024 Jan 04; Vol. 14, pp. 1342429. Date of Electronic Publication: 2024 Jan 04 (Print Publication: 2023).
DOI:	10.3389/fimmu.2023.1342429
Abstrakt:	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. Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2024 Ji, Xi, Mohan, Yan, Jain, Zang, Gahtan and Zhao.)
Databáze:	MEDLINE
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