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Keller B, Receno CN, Franconi CJ, Harenberg S, Stevens J, Mao X, Stevens SR, Moore G, Levine S, Chia J, Shungu D, Hanson MR. Cardiopulmonary and metabolic responses during a 2-day CPET in myalgic encephalomyelitis/chronic fatigue syndrome: translating reduced oxygen consumption to impairment status to treatment considerations. J Transl Med 2024; 22:627. [PMID: 38965566 PMCID: PMC11229500 DOI: 10.1186/s12967-024-05410-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 06/17/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND Post-exertional malaise (PEM), the hallmark symptom of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), represents a constellation of abnormal responses to physical, cognitive, and/or emotional exertion including profound fatigue, cognitive dysfunction, and exertion intolerance, among numerous other maladies. Two sequential cardiopulmonary exercise tests (2-d CPET) provide objective evidence of abnormal responses to exertion in ME/CFS but validated only in studies with small sample sizes. Further, translation of results to impairment status and approaches to symptom reduction are lacking. METHODS Participants with ME/CFS (Canadian Criteria; n = 84) and sedentary controls (CTL; n = 71) completed two CPETs on a cycle ergometer separated by 24 h. Two-way repeated measures ANOVA compared CPET measures at rest, ventilatory/anaerobic threshold (VAT), and peak effort between phenotypes and CPETs. Intraclass correlations described stability of CPET measures across tests, and relevant objective CPET data indicated impairment status. A subset of case-control pairs (n = 55) matched for aerobic capacity, age, and sex, were also analyzed. RESULTS Unlike CTL, ME/CFS failed to reproduce CPET-1 measures during CPET-2 with significant declines at peak exertion in work, exercise time, V ˙ e, V ˙ O2, V ˙ CO2, V ˙ T, HR, O2pulse, DBP, and RPP. Likewise, CPET-2 declines were observed at VAT for V ˙ e/ V ˙ CO2, PetCO2, O2pulse, work, V ˙ O2 and SBP. Perception of effort (RPE) exceeded maximum effort criteria for ME/CFS and CTL on both CPETs. Results were similar in matched pairs. Intraclass correlations revealed greater stability in CPET variables across test days in CTL compared to ME/CFS owing to CPET-2 declines in ME/CFS. Lastly, CPET-2 data signaled more severe impairment status for ME/CFS compared to CPET-1. CONCLUSIONS Presently, this is the largest 2-d CPET study of ME/CFS to substantiate impaired recovery in ME/CFS following an exertional stressor. Abnormal post-exertional CPET responses persisted compared to CTL matched for aerobic capacity, indicating that fitness level does not predispose to exertion intolerance in ME/CFS. Moreover, contributions to exertion intolerance in ME/CFS by disrupted cardiac, pulmonary, and metabolic factors implicates autonomic nervous system dysregulation of blood flow and oxygen delivery for energy metabolism. The observable declines in post-exertional energy metabolism translate notably to a worsening of impairment status. Treatment considerations to address tangible reductions in physiological function are proffered. TRIAL REGISTRATION NUMBER ClinicalTrials.gov, retrospectively registered, ID# NCT04026425, date of registration: 2019-07-17.
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Affiliation(s)
- Betsy Keller
- Department of Exercise Science and Athletic Training, Ithaca College, Ithaca, NY, 14850, USA.
| | - Candace N Receno
- Department of Exercise Science and Athletic Training, Ithaca College, Ithaca, NY, 14850, USA
| | - Carl J Franconi
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Sebastian Harenberg
- Department of Human Kinetics, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada
| | - Jared Stevens
- Department of Radiology, Weill Cornell Medicine, New York, NY, 10065, USA
| | | | - Staci R Stevens
- Department of Radiology, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Geoff Moore
- Department of Exercise Science and Athletic Training, Ithaca College, Ithaca, NY, 14850, USA
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
| | - Susan Levine
- Susan Levine, MD Clinical Practice, New York, NY, 10021, USA
| | | | | | - Maureen R Hanson
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY, 14853, USA
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Annesley SJ, Missailidis D, Heng B, Josev EK, Armstrong CW. Unravelling shared mechanisms: insights from recent ME/CFS research to illuminate long COVID pathologies. Trends Mol Med 2024; 30:443-458. [PMID: 38443223 DOI: 10.1016/j.molmed.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/29/2024] [Accepted: 02/13/2024] [Indexed: 03/07/2024]
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic illness often triggered by an initiating acute event, mainly viral infections. The transition from acute to chronic disease remains unknown, but interest in this phenomenon has escalated since the COVID-19 pandemic and the post-COVID-19 illness, termed 'long COVID' (LC). Both ME/CFS and LC share many clinical similarities. Here, we present recent findings in ME/CFS research focussing on proposed disease pathologies shared with LC. Understanding these disease pathologies and how they influence each other is key to developing effective therapeutics and diagnostic tests. Given that ME/CFS typically has a longer disease duration compared with LC, with symptoms and pathologies evolving over time, ME/CFS may provide insights into the future progression of LC.
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Affiliation(s)
- Sarah J Annesley
- Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, VIC, Australia.
| | - Daniel Missailidis
- Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, VIC, Australia
| | - Benjamin Heng
- Macquarie Medical School, Faculty of Medicine, Human and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Elisha K Josev
- Neurodisability & Rehabilitation, Clinical Sciences, Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, VIC, Australia; Mercy Hospital for Women, Heidelberg, VIC, Australia
| | - Christopher W Armstrong
- Department of Biochemistry and Pharmacology, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Parkville, VIC, Australia
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Peppercorn K, Edgar CD, Kleffmann T, Tate WP. A pilot study on the immune cell proteome of long COVID patients shows changes to physiological pathways similar to those in myalgic encephalomyelitis/chronic fatigue syndrome. Sci Rep 2023; 13:22068. [PMID: 38086949 PMCID: PMC10716514 DOI: 10.1038/s41598-023-49402-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 12/07/2023] [Indexed: 12/18/2023] Open
Abstract
Of those infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), ~ 10% develop the chronic post-viral debilitating condition, long COVID (LC). Although LC is a heterogeneous condition, about half of cases have typical post-viral fatigue with onset and symptoms that are very similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). A key question is whether these conditions are closely related. ME/CFS is a post-stressor fatigue condition that arises from multiple triggers. To investigate the pathophysiology of LC, a pilot study of patients (n = 6) and healthy controls (n = 5) has used quantitative proteomics to discover changes in peripheral blood mononuclear cell (PBMC) proteins. A principal component analysis separated all long COVID patients from healthy controls. Analysis of 3131 proteins identified 162 proteins differentially regulated, of which 37 were related to immune functions, and 21 to mitochondrial functions. Markov cluster analysis identified clusters involved in immune system processes, and two aspects of gene expression-spliceosome and transcription. These results were compared with an earlier dataset of 346 differentially regulated proteins in PBMC's from ME/CFS patients (n = 9) analysed by the same methodology. There were overlapping protein clusters and enriched molecular pathways particularly in immune functions, suggesting the two conditions have similar immune pathophysiology as a prominent feature, and mitochondrial functions involved in energy production were affected in both conditions.
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Affiliation(s)
- Katie Peppercorn
- Division of Health Sciences, Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, 9016, New Zealand
| | - Christina D Edgar
- Division of Health Sciences, Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, 9016, New Zealand
| | - Torsten Kleffmann
- Division of Health Sciences, Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, 9016, New Zealand
| | - Warren P Tate
- Division of Health Sciences, Department of Biochemistry, School of Biomedical Sciences, University of Otago, Dunedin, 9016, New Zealand.
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4
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Wolf J, Rasmussen DK, Sun YJ, Vu JT, Wang E, Espinosa C, Bigini F, Chang RT, Montague AA, Tang PH, Mruthyunjaya P, Aghaeepour N, Dufour A, Bassuk AG, Mahajan VB. Liquid-biopsy proteomics combined with AI identifies cellular drivers of eye aging and disease in vivo. Cell 2023; 186:4868-4884.e12. [PMID: 37863056 PMCID: PMC10720485 DOI: 10.1016/j.cell.2023.09.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 07/26/2023] [Accepted: 09/13/2023] [Indexed: 10/22/2023]
Abstract
Single-cell analysis in living humans is essential for understanding disease mechanisms, but it is impractical in non-regenerative organs, such as the eye and brain, because tissue biopsies would cause serious damage. We resolve this problem by integrating proteomics of liquid biopsies with single-cell transcriptomics from all known ocular cell types to trace the cellular origin of 5,953 proteins detected in the aqueous humor. We identified hundreds of cell-specific protein markers, including for individual retinal cell types. Surprisingly, our results reveal that retinal degeneration occurs in Parkinson's disease, and the cells driving diabetic retinopathy switch with disease stage. Finally, we developed artificial intelligence (AI) models to assess individual cellular aging and found that many eye diseases not associated with chronological age undergo accelerated molecular aging of disease-specific cell types. Our approach, which can be applied to other organ systems, has the potential to transform molecular diagnostics and prognostics while uncovering new cellular disease and aging mechanisms.
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Affiliation(s)
- Julian Wolf
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Ditte K Rasmussen
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA; Department of Biomedicine, Aarhus University, 8000 Aarhus C, Denmark
| | - Young Joo Sun
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Jennifer T Vu
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Elena Wang
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Fabio Bigini
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Robert T Chang
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Artis A Montague
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Peter H Tang
- Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN 55455, USA; Retina Consultants of Minnesota, Edina, MN 55435, USA
| | - Prithvi Mruthyunjaya
- Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Antoine Dufour
- Departments of Physiology and Pharmacology & Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
| | - Alexander G Bassuk
- Departments of Pediatrics and Neurology, The Iowa Neuroscience Institute (INI), University of Iowa, Iowa City, IA 52242, USA
| | - Vinit B Mahajan
- Molecular Surgery Laboratory, Stanford University, Palo Alto, CA 94304, USA; Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, CA 94304, USA; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA.
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5
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Van Booven DJ, Gamer J, Joseph A, Perez M, Zarnowski O, Pandya M, Collado F, Klimas N, Oltra E, Nathanson L. Stress-Induced Transcriptomic Changes in Females with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Reveal Disrupted Immune Signatures. Int J Mol Sci 2023; 24:2698. [PMID: 36769022 PMCID: PMC9916639 DOI: 10.3390/ijms24032698] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/22/2023] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex multi-organ illness characterized by unexplained debilitating fatigue and post-exertional malaise (PEM), which is defined as a worsening of symptoms following even minor physical or mental exertion. Our study aimed to evaluate transcriptomic changes in ME/CFS female patients undergoing an exercise challenge intended to precipitate PEM. Our time points (baseline before exercise challenge, the point of maximal exertion, and after an exercise challenge) allowed for the exploration of the transcriptomic response to exercise and recovery in female patients with ME/CFS, as compared to healthy controls (HCs). Under maximal exertion, ME/CFS patients did not show significant changes in gene expression, while HCs demonstrated altered functional gene networks related to signaling and integral functions of their immune cells. During the recovery period (commonly during onset of PEM), female ME/CFS patients showed dysregulated immune signaling pathways and dysfunctional cellular responses to stress. The unique functional pathways identified provide a foundation for future research efforts into the disease, as well as for potential targeted treatment options.
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Affiliation(s)
- Derek J. Van Booven
- John P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Jackson Gamer
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Andrew Joseph
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Melanie Perez
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Oskar Zarnowski
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Meha Pandya
- Halmos College of Arts and Sciences, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Farquhar Honors College, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
| | - Fanny Collado
- Department of Veterans Affairs, Miami VA Healthcare System, Research Service, Miami, FL 33125, USA
- South Florida Veterans Affairs Foundation for Research and Education Inc., Fort Lauderdale, FL 33125, USA
| | - Nancy Klimas
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
- Department of Veterans Affairs, Miami VA Healthcare System, Research Service, Miami, FL 33125, USA
| | - Elisa Oltra
- School of Medicine, Universidad Católica de Valencia San Vicente Mártir, 46001 Valencia, Spain
| | - Lubov Nathanson
- Institute for Neuro-Immune Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328, USA
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6
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Jahanbani F, Maynard RD, Sing JC, Jahanbani S, Perrino JJ, Spacek DV, Davis RW, Snyder MP. Phenotypic characteristics of peripheral immune cells of Myalgic encephalomyelitis/chronic fatigue syndrome via transmission electron microscopy: A pilot study. PLoS One 2022; 17:e0272703. [PMID: 35943990 PMCID: PMC9362953 DOI: 10.1371/journal.pone.0272703] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 07/25/2022] [Indexed: 01/06/2023] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex chronic multi-systemic disease characterized by extreme fatigue that is not improved by rest, and worsens after exertion, whether physical or mental. Previous studies have shown ME/CFS-associated alterations in the immune system and mitochondria. We used transmission electron microscopy (TEM) to investigate the morphology and ultrastructure of unstimulated and stimulated ME/CFS immune cells and their intracellular organelles, including mitochondria. PBMCs from four participants were studied: a pair of identical twins discordant for moderate ME/CFS, as well as two age- and gender- matched unrelated subjects-one with an extremely severe form of ME/CFS and the other healthy. TEM analysis of CD3/CD28-stimulated T cells suggested a significant increase in the levels of apoptotic and necrotic cell death in T cells from ME/CFS patients (over 2-fold). Stimulated Tcells of ME/CFS patients also had higher numbers of swollen mitochondria. We also found a large increase in intracellular giant lipid droplet-like organelles in the stimulated PBMCs from the extremely severe ME/CFS patient potentially indicative of a lipid storage disorder. Lastly, we observed a slight increase in platelet aggregation in stimulated cells, suggestive of a possible role of platelet activity in ME/CFS pathophysiology and disease severity. These results indicate extensive morphological alterations in the cellular and mitochondrial phenotypes of ME/CFS patients' immune cells and suggest new insights into ME/CFS biology.
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Affiliation(s)
- Fereshteh Jahanbani
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
| | - Rajan D. Maynard
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
| | - Justin Cyril Sing
- Department of Molecular Genetics, Donnelly Centre, University of Toronto, Toronto, Ontario, Canada
| | - Shaghayegh Jahanbani
- Division of Immunology and Rheumatology, Stanford University School of Medicine, and VA Palo Alto Health Care System, Palo Alto, California, United States of America
| | - John J. Perrino
- Stanford Cell Sciences Imaging Facility (CSIF), Stanford University School of Medicine Stanford, Stanford, California, United States of America
| | - Damek V. Spacek
- Karius Incorporated, Redwood City, California, United States of America
| | - Ronald W. Davis
- ME/CFS Collaborative Research Center at Stanford, Stanford Genome Technology Center, Stanford University School of Medicine, Palo Alto, California, United States of America
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, California, United States of America
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7
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Renz-Polster H, Tremblay ME, Bienzle D, Fischer JE. The Pathobiology of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: The Case for Neuroglial Failure. Front Cell Neurosci 2022; 16:888232. [PMID: 35614970 PMCID: PMC9124899 DOI: 10.3389/fncel.2022.888232] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 04/13/2022] [Indexed: 12/20/2022] Open
Abstract
Although myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) has a specific and distinctive profile of clinical features, the disease remains an enigma because causal explanation of the pathobiological matrix is lacking. Several potential disease mechanisms have been identified, including immune abnormalities, inflammatory activation, mitochondrial alterations, endothelial and muscular disturbances, cardiovascular anomalies, and dysfunction of the peripheral and central nervous systems. Yet, it remains unclear whether and how these pathways may be related and orchestrated. Here we explore the hypothesis that a common denominator of the pathobiological processes in ME/CFS may be central nervous system dysfunction due to impaired or pathologically reactive neuroglia (astrocytes, microglia and oligodendrocytes). We will test this hypothesis by reviewing, in reference to the current literature, the two most salient and widely accepted features of ME/CFS, and by investigating how these might be linked to dysfunctional neuroglia. From this review we conclude that the multifaceted pathobiology of ME/CFS may be attributable in a unifying manner to neuroglial dysfunction. Because the two key features - post exertional malaise and decreased cerebral blood flow - are also recognized in a subset of patients with post-acute sequelae COVID, we suggest that our findings may also be pertinent to this entity.
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Affiliation(s)
- Herbert Renz-Polster
- Division of General Medicine, Center for Preventive Medicine and Digital Health Baden-Württemberg (CPD-BW), University Medicine Mannheim, Heidelberg University, Mannheim, Germany
| | - Marie-Eve Tremblay
- Axe Neurosciences, Centre de recherche du CHU de Québec, Université Laval, Quebec, QC, Canada
- Département de Médecine Moléculaire, Université Laval, Quebec, QC, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Center for Advanced Materials and Related Technology (CAMTEC), University of Victoria, Victoria, BC, Canada
- Department of Biochemistry and Molecular Biology, Faculty of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Dorothee Bienzle
- Department of Pathobiology, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Joachim E. Fischer
- Division of General Medicine, Center for Preventive Medicine and Digital Health Baden-Württemberg (CPD-BW), University Medicine Mannheim, Heidelberg University, Mannheim, Germany
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González-Cebrián A, Almenar-Pérez E, Xu J, Yu T, Huang WE, Giménez-Orenga K, Hutchinson S, Lodge T, Nathanson L, Morten KJ, Ferrer A, Oltra E. Diagnosis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome With Partial Least Squares Discriminant Analysis: Relevance of Blood Extracellular Vesicles. Front Med (Lausanne) 2022; 9:842991. [PMID: 35433768 PMCID: PMC9011062 DOI: 10.3389/fmed.2022.842991] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/21/2022] [Indexed: 12/25/2022] Open
Abstract
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), a chronic disease characterized by long-lasting persistent debilitating widespread fatigue and post-exertional malaise, remains diagnosed by clinical criteria. Our group and others have identified differentially expressed miRNA profiles in the blood of patients. However, their diagnostic power individually or in combinations seems limited. A Partial Least Squares-Discriminant Analysis (PLS-DA) model initially based on 817 variables: two demographic, 34 blood analytic, 136 PBMC miRNAs, 639 Extracellular Vesicle (EV) miRNAs, and six EV features, selected an optimal number of five components, and a subset of 32 regressors showing statistically significant discriminant power. The presence of four EV-features (size and z-values of EVs prepared with or without proteinase K treatment) among the 32 regressors, suggested that blood vesicles carry relevant disease information. To further explore the features of ME/CFS EVs, we subjected them to Raman micro-spectroscopic analysis, identifying carotenoid peaks as ME/CFS fingerprints, possibly due to erythrocyte deficiencies. Although PLS-DA analysis showed limited capacity of Raman fingerprints for diagnosis (AUC = 0.7067), Raman data served to refine the number of PBMC miRNAs from our previous model still ensuring a perfect classification of subjects (AUC=1). Further investigations to evaluate model performance in extended cohorts of patients, to identify the precise ME/CFS EV components detected by Raman and to reveal their functional significance in the disease are warranted.
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Affiliation(s)
- Alba González-Cebrián
- Grupo de Ingeniería Estadística Multivariante, Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain
| | - Eloy Almenar-Pérez
- Department of Pathology, School of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
- Nuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom
| | - Jiabao Xu
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Tong Yu
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Wei E. Huang
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Karen Giménez-Orenga
- Escuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
| | - Sarah Hutchinson
- Nuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom
| | - Tiffany Lodge
- Nuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom
| | - Lubov Nathanson
- Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States
- Institute for Neuro Immune Medicine, Nova Southeastern University, Fort Lauderdale, FL, United States
| | - Karl J. Morten
- Nuffield Department of Women's and Reproductive Health, The Women Centre, University of Oxford, Oxford, United Kingdom
| | - Alberto Ferrer
- Grupo de Ingeniería Estadística Multivariante, Departamento de Estadística e Investigación Operativa Aplicadas y Calidad, Universitat Politècnica de València, Valencia, Spain
| | - Elisa Oltra
- Department of Pathology, School of Health Sciences, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
- Centro de Investigación Traslacional San Alberto Magno, Universidad Católica de Valencia San Vicente Mártir, Valencia, Spain
- *Correspondence: Elisa Oltra ; orcid.org/0000-0003-0598-2907
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Mathur R, Carnes MU, Harding A, Moore A, Thomas I, Giarrocco A, Long M, Underwood M, Townsend C, Ruiz-Esparza R, Barnette Q, Brown LM, Schu M. mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites. J Transl Med 2021; 19:461. [PMID: 34749736 PMCID: PMC8576927 DOI: 10.1186/s12967-021-03127-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 10/24/2021] [Indexed: 12/02/2022] Open
Abstract
Background Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies. Methods The National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed an online portal with metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing. Results We designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS Research Network members. Conclusions mapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-03127-3.
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Affiliation(s)
- Ravi Mathur
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Megan U Carnes
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Alexander Harding
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | - Amy Moore
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Ian Thomas
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | - Alex Giarrocco
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | - Michael Long
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | - Marcia Underwood
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | | | - Roman Ruiz-Esparza
- Center for Data Science, RTI International, Research Triangle Park, NC, USA
| | - Quinn Barnette
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Linda Morris Brown
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Matthew Schu
- Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.
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