Literature DB >> 29053026

Application of "Omics" and Systems Biology to Sarcoidosis Research.

Elliott D Crouser1, Tasha E Fingerlin2, Ivana V Yang3, Lisa A Maier4, Patrick Nana-Sinkam5, Ronald G Collman6, Naftali Kaminski7.   

Abstract

Sarcoidosis is a complex, polygenic disease of unknown cause with diverse clinical phenotypes, ranging from self-limited, asymptomatic disease to life-altering symptoms and early disease-related mortality. It is unlikely that a single common environmental exposure (e.g., infection, antigen) entirely explains the disease, and numerous genetic mutations are associated with the disease. As such, it is reasonable to assume, as with other phenotypically diverse diseases, that distinct genetic mechanisms and related biological biomarkers will serve to further define sarcoidosis subphenotypes, mechanisms, and possibly etiology, thus guiding personalized care. The fields of "omics" and systems biology research are widely applied to understand polygenic and phenotypically diverse diseases, such as sarcoidosis. "Omics" refers to technologies that allow comprehensive profiling of sets of molecules in an organism. Systems biology applies advanced computational approaches to make sense of the enormous data sets that are typically generated from "omics" platforms. The primary objectives of this article are to review the available "omics" tools, assess the current status of "omics" and systems biology research in the field of sarcoidosis, and consider how this technology could be applied to advance our understanding of the mechanistic underpinnings of disease and to develop novel treatments.

Entities:  

Keywords:  epigenetic; genomic; granuloma; microbiome; proteomic

Mesh:

Substances:

Year:  2017        PMID: 29053026      PMCID: PMC5822413          DOI: 10.1513/AnnalsATS.201707-567OT

Source DB:  PubMed          Journal:  Ann Am Thorac Soc        ISSN: 2325-6621


  49 in total

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Review 4.  Metabolomics in the Diagnosis and Pharmacotherapy of Lung Diseases.

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6.  Sarcoidosis is associated with a truncating splice site mutation in BTNL2.

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7.  Common patterns and disease-related signatures in tuberculosis and sarcoidosis.

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Journal:  Nature       Date:  2015-02-19       Impact factor: 69.504

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  8 in total

Review 1.  Potential immunotherapies for sarcoidosis.

Authors:  Van Le; Elliott D Crouser
Journal:  Expert Opin Biol Ther       Date:  2018-01-17       Impact factor: 4.388

Review 2.  Executive Summary of the NHLBI Workshop Report: Leveraging Current Scientific Advancements to Understand Sarcoidosis Variability and Improve Outcomes.

Authors:  Lisa A Maier; Elliott D Crouser; William J Martin; Jerry Eu
Journal:  Ann Am Thorac Soc       Date:  2017-12

Review 3.  A roadmap for multi-omics data integration using deep learning.

Authors:  Mingon Kang; Euiseong Ko; Tesfaye B Mersha
Journal:  Brief Bioinform       Date:  2022-01-17       Impact factor: 11.622

4.  Identification of CD14 and lipopolysaccharide-binding protein as novel biomarkers for sarcoidosis using proteomics of serum extracellular vesicles.

Authors:  Yu Futami; Yoshito Takeda; Taro Koba; Ryohei Narumi; Yosui Nojima; Mari Ito; Mana Nakayama; Mimiko Ishida; Hanako Yoshimura; Yujiro Naito; Kiyoharu Fukushima; Takayuki Takimoto; Ryuya Edahiro; Takanori Matsuki; Satoshi Nojima; Haruhiko Hirata; Shohei Koyama; Kota Iwahori; Izumi Nagatomo; Yuya Shirai; Yasuhiko Suga; Shingo Satoh; Shinji Futami; Kotaro Miyake; Takayuki Shiroyama; Yoshikazu Inoue; Jun Adachi; Takeshi Tomonaga; Koji Ueda; Atsushi Kumanogoh
Journal:  Int Immunol       Date:  2022-06-04       Impact factor: 5.071

Review 5.  Leveraging Multilayered "Omics" Data for Atopic Dermatitis: A Road Map to Precision Medicine.

Authors:  Debajyoti Ghosh; Jonathan A Bernstein; Gurjit K Khurana Hershey; Marc E Rothenberg; Tesfaye B Mersha
Journal:  Front Immunol       Date:  2018-12-12       Impact factor: 7.561

Review 6.  Host-microbe interactions in the pathogenesis and clinical course of sarcoidosis.

Authors:  Pleiades T Inaoka; Masato Shono; Mishio Kamada; J Luis Espinoza
Journal:  J Biomed Sci       Date:  2019-06-11       Impact factor: 8.410

7.  Co-expression Networks Identify DHX15 RNA Helicase as a B Cell Regulatory Factor.

Authors:  Thiago Detanico; Richard Virgen-Slane; Seth Steen-Fuentes; Wai W Lin; Antje Rhode-Kurnow; Elizabeth Chappell; Ricardo G Correa; Michael J DiCandido; M Lamine Mbow; Jun Li; Carl F Ware
Journal:  Front Immunol       Date:  2019-12-10       Impact factor: 7.561

8.  Novel protein pathways in development and progression of pulmonary sarcoidosis.

Authors:  Maneesh Bhargava; K J Viken; B Barkes; T J Griffin; M Gillespie; P D Jagtap; R Sajulga; E J Peterson; H E Dincer; L Li; C I Restrepo; B P O'Connor; T E Fingerlin; D M Perlman; L A Maier
Journal:  Sci Rep       Date:  2020-08-06       Impact factor: 4.379

  8 in total

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