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Comella PH, Gonzalez-Kozlova E, Kosoy R, Charney AW, Peradejordi IF, Chandrasekar S, Tyler SR, Wang W, Losic B, Zhu J, Hoffman GE, Kim-Schulze S, Qi J, Patel M, Kasarskis A, Suarez-Farinas M, Gümüş ZH, Argmann C, Merad M, Becker C, Beckmann ND, Schadt EE. A Molecular network approach reveals shared cellular and molecular signatures between chronic fatigue syndrome and other fatiguing illnesses. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2021:2021.01.29.21250755. [PMID: 33564792 PMCID: PMC7872387 DOI: 10.1101/2021.01.29.21250755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
IntroThe molecular mechanisms of chronic fatigue syndrome (CFS, or Myalgic encephalomyelitis), a disease defined by extreme, long-term fatigue, remain largely uncharacterized, and presently no molecular diagnostic test and no specific treatments exist to diagnose and treat CFS patients. While CFS has historically had an estimated prevalence of 0.1-0.5% [1], concerns of a “long hauler” version of Coronavirus disease 2019 (COVID-19) that symptomatically overlaps CFS to a significant degree(Supplemental Table-1)and appears to occur in 10% of COVID-19 patients[2], has raised concerns of a larger spike in CFS [3]. Here, we established molecular signatures of CFS and a corresponding network-based disease context from RNA-sequencing data generated on whole blood and FACs sorted specific peripheral blood mononuclear cells (PBMCs) isolated from CFS cases and non-CFS controls. The immune cell type specific molecular signatures of CFS we identified, overlapped molecular signatures from other fatiguing illnesses, demonstrating a common molecular etiology. Further, after constructing a probabilistic causal model of the CFS gene expression data, we identified master regulator genes modulating network states associated with CFS, suggesting potential therapeutic targets for CFS.
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Affiliation(s)
- Phillip H. Comella
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Edgar Gonzalez-Kozlova
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Roman Kosoy
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Alexander W. Charney
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Irene Font Peradejordi
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Cornell Tech at Cornell University, New York, NY, 10044, USA
| | - Shreya Chandrasekar
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Cornell Tech at Cornell University, New York, NY, 10044, USA
| | - Scott R. Tyler
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Wenhui Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bojan Losic
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jun Zhu
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
| | - Gabriel E. Hoffman
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Seunghee Kim-Schulze
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Jingjing Qi
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Manishkumar Patel
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Andrew Kasarskis
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Department of Population Health Science and Policy at the Icahn School of Medicine at Mount Sinai
| | - Mayte Suarez-Farinas
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
| | - Zeynep H. Gümüş
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
| | - Carmen Argmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
| | - Miriam Merad
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | | | - Noam D. Beckmann
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
| | - Eric E. Schadt
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Icahn Institute of Data Science and Genomics Technology, New York, NY 10029
- Sema4, a Mount Sinai venture, Stamford CT, 06902, USA
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