Dynamic Epigenetic Changes during a Relapse and Recovery Cycle in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome
Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease with variable severity. Patients experience frequent relapses where symptoms increase in severity, leaving them with a marked reduction in quality of life. Previous work has investigated molecular differences between ME...
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description | Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease with variable severity. Patients experience frequent relapses where symptoms increase in severity, leaving them with a marked reduction in quality of life. Previous work has investigated molecular differences between ME/CFS patients and healthy controls, but not the dynamic changes specific to each individual patient. We applied precision medicine here to map genomic changes in two selected ME/CFS patients through a period that contained a relapse recovery cycle. DNA was isolated from two patients and a healthy age/gender matched control at regular intervals and captured the patient relapse in each case. Reduced representation DNA methylation sequencing profiles were obtained spanning the relapse recovery cycle. Both patients showed a significantly larger methylome variability (10–20-fold) through the period of sampling compared with the control. During the relapse, changes in the methylome profiles of the two patients were detected in regulatory-active regions of the genome that were associated, respectively, with 157 and 127 downstream genes, indicating disturbed metabolic, immune and inflammatory functions. Severe health relapses in the ME/CFS patients resulted in functionally important changes in their DNA methylomes that, while differing between the two patients, led to very similar compromised physiology. DNA methylation as a signature of disease variability in ongoing ME/CFS may have practical applications for strategies to decrease relapse frequency. |
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Patients experience frequent relapses where symptoms increase in severity, leaving them with a marked reduction in quality of life. Previous work has investigated molecular differences between ME/CFS patients and healthy controls, but not the dynamic changes specific to each individual patient. We applied precision medicine here to map genomic changes in two selected ME/CFS patients through a period that contained a relapse recovery cycle. DNA was isolated from two patients and a healthy age/gender matched control at regular intervals and captured the patient relapse in each case. Reduced representation DNA methylation sequencing profiles were obtained spanning the relapse recovery cycle. Both patients showed a significantly larger methylome variability (10–20-fold) through the period of sampling compared with the control. During the relapse, changes in the methylome profiles of the two patients were detected in regulatory-active regions of the genome that were associated, respectively, with 157 and 127 downstream genes, indicating disturbed metabolic, immune and inflammatory functions. Severe health relapses in the ME/CFS patients resulted in functionally important changes in their DNA methylomes that, while differing between the two patients, led to very similar compromised physiology. DNA methylation as a signature of disease variability in ongoing ME/CFS may have practical applications for strategies to decrease relapse frequency.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms231911852</identifier><identifier>PMID: 36233152</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Animal cognition ; Chronic fatigue syndrome ; Cytokines ; Deoxyribonucleic acid ; Diabetes ; DNA ; DNA methylation ; DNA sequencing ; Encephalomyelitis ; Epigenetics ; Fatigue ; Inflammation ; Metabolism ; Metabolites ; Patients ; Precision medicine ; Quality of life ; Signs and symptoms ; Variability</subject><ispartof>International journal of molecular sciences, 2022-10, Vol.23 (19), p.11852</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Patients experience frequent relapses where symptoms increase in severity, leaving them with a marked reduction in quality of life. Previous work has investigated molecular differences between ME/CFS patients and healthy controls, but not the dynamic changes specific to each individual patient. We applied precision medicine here to map genomic changes in two selected ME/CFS patients through a period that contained a relapse recovery cycle. DNA was isolated from two patients and a healthy age/gender matched control at regular intervals and captured the patient relapse in each case. Reduced representation DNA methylation sequencing profiles were obtained spanning the relapse recovery cycle. Both patients showed a significantly larger methylome variability (10–20-fold) through the period of sampling compared with the control. During the relapse, changes in the methylome profiles of the two patients were detected in regulatory-active regions of the genome that were associated, respectively, with 157 and 127 downstream genes, indicating disturbed metabolic, immune and inflammatory functions. Severe health relapses in the ME/CFS patients resulted in functionally important changes in their DNA methylomes that, while differing between the two patients, led to very similar compromised physiology. DNA methylation as a signature of disease variability in ongoing ME/CFS may have practical applications for strategies to decrease relapse frequency.</description><subject>Animal cognition</subject><subject>Chronic fatigue syndrome</subject><subject>Cytokines</subject><subject>Deoxyribonucleic acid</subject><subject>Diabetes</subject><subject>DNA</subject><subject>DNA methylation</subject><subject>DNA sequencing</subject><subject>Encephalomyelitis</subject><subject>Epigenetics</subject><subject>Fatigue</subject><subject>Inflammation</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Patients</subject><subject>Precision medicine</subject><subject>Quality of life</subject><subject>Signs and symptoms</subject><subject>Variability</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpdkUuL1jAUhoMozkWX7gNu3NTJpbdsBKkzjjAiOO5DenrSLx9pUpN2oP_efswgjqvzwnl4OIeXkHecfZRSsSt3nLKQXHHeVuIFOeelEAVjdfPyn3xGLnI-MiakqNRrciZrISWvxDlZvmzBTA7o9exGDLjssTuYMGKmw5pcGKmhP9GbOSM1YdgzxAdMG-028EhdoN8348eTIQDOB-PjtKF3i8tX3SHFsG9uzOLGFen9FoYUJ3xDXlnjM759mpfk_ub6V3db3P34-q37fFeAVGIppLCCVaLhw2BbXiloewtD2VcGa1sicFYD9NhYQFkCgELBWltb6GVfMnlJPj1a57WfcAAMSzJez8lNJm06Gqefb4I76DE-aFU1TJTtLvjwJEjx94p50ZPLgN6bgHHNWjSi4krt7I6-_w89xjWF_bkTVYq2luokLB4pSDHnhPbvMZzpU5v6WZvyD6bVlI8</recordid><startdate>20221006</startdate><enddate>20221006</enddate><creator>Helliwell, Amber M.</creator><creator>Stockwell, Peter A.</creator><creator>Edgar, Christina D.</creator><creator>Chatterjee, Aniruddha</creator><creator>Tate, Warren P.</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7276-2248</orcidid><orcidid>https://orcid.org/0000-0002-2145-3493</orcidid></search><sort><creationdate>20221006</creationdate><title>Dynamic Epigenetic Changes during a Relapse and Recovery Cycle in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome</title><author>Helliwell, Amber M. ; 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subjects | Animal cognition Chronic fatigue syndrome Cytokines Deoxyribonucleic acid Diabetes DNA DNA methylation DNA sequencing Encephalomyelitis Epigenetics Fatigue Inflammation Metabolism Metabolites Patients Precision medicine Quality of life Signs and symptoms Variability |
title | Dynamic Epigenetic Changes during a Relapse and Recovery Cycle in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome |
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