ME/CFS Evidence Browser — Classified Studies on Myalgic Encephalomyelitis

121–140 of 280 studies

E2 ModerateCohortPEM not requiredObservational

Decreased Expression of the CD57 Molecule in T Lymphocytes of Patients with Chronic Fatigue Syndrome.

Espinosa, P, Urra, J M·Molecular neurobiology·2019

Researchers measured levels of a protein called CD57 on immune cells in ME/CFS patients and compared them to healthy people. They found that ME/CFS patients had significantly lower amounts of CD57 on their T cells (a type of white blood cell). This difference was large enough that measuring CD57 levels could potentially help doctors diagnose ME/CFS.

BiomarkersImmune System

E2 ModerateCohortPEM not requiredLongitudinal

Predictors of chronic fatigue in adolescents six months after acute Epstein-Barr virus infection: A prospective cohort study.

Pedersen, Maria, Asprusten, Tarjei Tørre, Godang, Kristin et al.·Brain, behavior, and immunity·2019

This study followed 200 teenagers who had an acute Epstein-Barr virus (EBV) infection to see which factors predicted who would develop lasting fatigue six months later. Researchers measured many baseline characteristics including pain sensitivity, mood, memory, physical activity level, and blood markers like vitamin B12 and inflammation levels. They found that fatigue six months after EBV was most strongly predicted by things like sensory sensitivity, pain, anxiety, and how active the teenager was—rather than by immune system markers alone.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Evidence of Clinical Pathology Abnormalities in People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) from an Analytic Cross-Sectional Study.

Nacul, Luis, de Barros, Barbara, Kingdon, Caroline C et al.·Diagnostics (Basel, Switzerland)·2019

Researchers tested blood samples from 272 people with ME/CFS and 136 healthy people to look for measurable differences that might help diagnose the condition. They found that people with severe ME/CFS had notably lower levels of an enzyme called creatine kinase (CK) in their blood compared to healthy people and those with milder ME/CFS. This is the first study to report this pattern, suggesting that CK levels might be useful for identifying who has the most severe form of the disease.

Biomarkers

E2 ModerateCohortPEM not requiredCross-Sectional

Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome.

Zhang, Feilong, Wu, Chuanhong, Jia, Caixia et al.·Journal of affective disorders·2019

This study looked at whether depression and chronic fatigue syndrome (CFS) share common biological markers in the blood and urine. Researchers used advanced chemical testing and artificial intelligence to analyze samples from 295 people and found that depression and CFS have some overlapping chemical signatures, though they also have distinct differences. The findings suggest these two conditions may be more closely related than previously thought.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Multidimensional Comparison of Cancer-Related Fatigue and Chronic Fatigue Syndrome: The Role of Psychophysiological Markers.

Park, Hye Youn, Jeon, Hong Jun, Bang, Young Rong et al.·Psychiatry investigation·2019

This study compared fatigue in people with cancer (CRF) and people with ME/CFS to see if these conditions are similar or different. Researchers measured fatigue levels, mood, stress, sleep quality, and specific biological markers like inflammation and brain activity. While both groups reported similar amounts of fatigue, they showed different underlying biological patterns, suggesting the two conditions may have different causes.

BiomarkersImmune System

E2 ModerateCohortPEM not requiredObservational

Associations between clinical symptoms, plasma norepinephrine and deregulated immune gene networks in subgroups of adolescent with Chronic Fatigue Syndrome.

Nguyen, Chinh Bkrong, Kumar, Surendra, Zucknick, Manuela et al.·Brain, behavior, and immunity·2019

This study looked at blood samples from teenagers with ME/CFS to understand how their immune systems and stress-response chemicals differ from healthy teenagers. Researchers found two distinct subgroups of ME/CFS patients based on immune activity and a stress hormone called norepinephrine. Patients with lower norepinephrine levels had more severe fatigue, while those with higher levels showed different patterns of immune dysfunction.

BiomarkersImmune System

E2 ModerateCohortPEM unclearCross-Sectional

A new approach to find biomarkers in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) by single-cell Raman micro-spectroscopy.

Xu, Jiabao, Potter, Michelle, Tomas, Cara et al.·The Analyst·2019

Researchers used a new scanning technology called Raman spectroscopy to look at individual cells from ME/CFS patients and healthy people. They found that cells from ME/CFS patients had higher levels of a protein building block called phenylalanine, similar to cells with broken energy-producing structures (mitochondria). Using computer learning, they could identify ME/CFS patient cells with 98% accuracy based on this signature.

Biomarkers

E2 ModerateCohortPEM requiredCross-Sectional

Circulating levels of GDF15 in patients with myalgic encephalomyelitis/chronic fatigue syndrome.

Melvin, A, Lacerda, E, Dockrell, H M et al.·Journal of translational medicine·2019

This study measured a protein called GDF15 in the blood of ME/CFS patients and compared it to healthy people. GDF15 is released by cells when they are stressed or damaged. The researchers found that patients with severe ME/CFS had higher levels of GDF15 than healthy controls, and the levels of this protein were linked to how tired patients felt. The GDF15 levels stayed relatively stable over several months, suggesting it could be a useful marker for measuring cellular stress in ME/CFS.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

A laboratory approach for characterizing chronic fatigue: what does metabolomics tell us?

Erasmus, Elardus, Mason, Shayne, van Reenen, Mari et al.·Metabolomics : Official journal of the Metabolomic Society·2019

This study looked at whether a simple urine test could help measure fatigue severity in ME/CFS patients. Researchers used a specialized scanning technique (NMR) to analyze urine samples from 578 women with chronic fatigue before and after a detoxification challenge, finding that the fatigue group showed different metabolite patterns compared to controls. While the study didn't identify a single reliable biomarker for fatigue, it suggests that fatigue may be connected to how the body processes toxins.

Biomarkers

E2 ModerateCohortPEM requiredCross-Sectional

Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity.

Lidbury, Brett A, Kita, Badia, Richardson, Alice M et al.·Diagnostics (Basel, Switzerland)·2019

This study looked for blood test markers that could help diagnose ME/CFS and measure how severe someone's illness is. Researchers tested a protein called activin B along with routine blood work from pathology labs in people with ME/CFS and healthy controls. They used a computer learning method to see which combinations of blood markers worked best for identifying ME/CFS and predicting symptom severity.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Prospective Biomarkers from Plasma Metabolomics of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Implicate Redox Imbalance in Disease Symptomatology.

Germain, Arnaud, Ruppert, David, Levine, Susan M et al.·Metabolites·2018

Researchers studied blood samples from 32 women with ME/CFS and 19 healthy women to look for chemical differences. They found 14 metabolites (small molecules in the blood) that were different in ME/CFS patients, suggesting their bodies may have trouble managing oxidative stress—a chemical imbalance that could contribute to their symptoms. This discovery could eventually help doctors identify ME/CFS through a blood test.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Weighting of orthostatic intolerance time measurements with standing difficulty score stratifies ME/CFS symptom severity and analyte detection.

Richardson, Alice M, Lewis, Don P, Kita, Badia et al.·Journal of translational medicine·2018

This study tested a new way to measure ME/CFS severity by combining how long patients can stand with how difficult standing feels to them. Researchers found that this combined measurement (called weighted standing time) was significantly different between ME/CFS patients and healthy people, and it also related to differences in certain inflammation markers in the blood. This suggests that a simple standing test could help doctors diagnose ME/CFS and track how severe a patient's symptoms are.

Biomarkers

E2 ModerateCohortPEM not requiredCross-Sectional

Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.

Sevel, Landrew S, Boissoneault, Jeff, Letzen, Janelle E et al.·Experimental brain research·2018

Researchers compared two methods for identifying ME/CFS patients: looking at structural brain changes on MRI scans versus asking patients to rate their symptoms like fatigue, pain, and sleep quality. While brain imaging showed some useful differences between ME/CFS patients and healthy people, patients' own descriptions of their symptoms were actually better at identifying who had ME/CFS.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Hand Grip Strength as a Clinical Biomarker for ME/CFS and Disease Severity.

Nacul, Luis Carlos, Mudie, Kathleen, Kingdon, Caroline C et al.·Frontiers in neurology·2018

Researchers tested whether hand grip strength could be a useful tool for diagnosing ME/CFS and measuring how severe the condition is. They found that people with ME/CFS—especially those with severe disease—have noticeably weaker grip strength compared to healthy people, and their grip strength drops more across repeated tests. This simple, objective test may help doctors better diagnose ME/CFS and track how patients are doing over time.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Restricted Spatial Windows of Visibility in Myalgic Encephalomyelitis (ME).

Ahmed, Nadia S, Gottlob, Irene, Proudlock, Frank A et al.·Vision (Basel, Switzerland)·2018

This study looked at how ME affects vision by testing how well people can see contrast (the difference between light and dark areas). Researchers tested 19 people with ME and 19 healthy people by asking them to identify faint striped patterns. People with ME had more difficulty seeing these patterns, especially at lower levels of detail, suggesting that ME may affect how the eyes and brain process visual information.

Biomarkers

E2 ModerateCohortPEM unclearCase-Control

Identification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome-associated DNA methylation patterns.

Trivedi, Malav S, Oltra, Elisa, Sarria, Leonor et al.·PloS one·2018

Researchers studied chemical tags on DNA (called methylation) in people with ME/CFS compared to healthy people. While the overall amount of these tags was similar between groups, they found specific locations on thousands of genes where the tags differed. Many of these differences were in genes involved in immune system function, which aligns with what doctors already know about ME/CFS affecting immunity.

BiomarkersImmune System

E2 ModeratePEM unclearBiobank-Resource

The UK ME/CFS Biobank: A Disease-Specific Biobank for Advancing Clinical Research Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Lacerda, Eliana M, Mudie, Kathleen, Kingdon, Caroline C et al.·Frontiers in neurology·2018

Researchers in the UK created a special collection of biological samples (like blood) and health information from 600 people—including those with ME/CFS, people with multiple sclerosis, and healthy volunteers. This resource, called the UK ME/CFS Biobank, was designed to help scientists study ME/CFS more effectively and find reliable ways to diagnose the disease. The biobank is being shared with researchers around the world to speed up discovery.

Biomarkers

E2 ModerateCohortPEM unclearCross-Sectional

Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics.

Nagy-Szakal, Dorottya, Barupal, Dinesh K, Lee, Bohyun et al.·Scientific reports·2018

Researchers studied blood and gut bacteria samples from 50 people with ME/CFS and 50 healthy people to find biological markers of the disease. They found that people with ME/CFS have abnormal levels of certain substances in their blood called metabolites, particularly a fatty molecule called ceramide in those who also have irritable bowel syndrome. When scientists combined information about both blood metabolites and gut bacteria, they could identify ME/CFS patients more accurately than using either test alone.

Biomarkers

E2 ModeratePEM unclearBiobank-Resource

The UK ME/CFS Biobank for biomedical research on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Multiple Sclerosis.

Lacerda, Eliana M, Bowman, Erinna W, Cliff, Jacqueline M et al.·Open journal of bioresources·2017

The UK ME/CFS Biobank is a collection of blood samples and health information from 284 people with ME/CFS, 60 people with multiple sclerosis, and 135 healthy volunteers. Researchers created this resource to help scientists study what causes ME/CFS and find better ways to diagnose and treat it. The samples and detailed patient information can be used by researchers worldwide to search for biological markers of the disease.

BiomarkersImmune System

E2 ModerateCohortPEM unclearCross-Sectional

Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome.

Nagy-Szakal, Dorottya, Williams, Brent L, Mishra, Nischay et al.·Microbiome·2017

This study looked at the bacteria living in the gut of 50 ME/CFS patients and 50 healthy people to see if differences in gut bacteria might explain some ME/CFS symptoms. The researchers found that ME/CFS patients have unusual patterns of gut bacteria, and these patterns are different depending on whether the patient also has irritable bowel syndrome (IBS). Importantly, the type and balance of gut bacteria were linked to how severe patients' fatigue, pain, and other symptoms were.

BiomarkersEnergy Metabolism

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Decreased Expression of the CD57 Molecule in T Lymphocytes of Patients with Chronic Fatigue Syndrome.

Predictors of chronic fatigue in adolescents six months after acute Epstein-Barr virus infection: A prospective cohort study.

Evidence of Clinical Pathology Abnormalities in People with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) from an Analytic Cross-Sectional Study.

Artificial intelligence based discovery of the association between depression and chronic fatigue syndrome.

Multidimensional Comparison of Cancer-Related Fatigue and Chronic Fatigue Syndrome: The Role of Psychophysiological Markers.

Associations between clinical symptoms, plasma norepinephrine and deregulated immune gene networks in subgroups of adolescent with Chronic Fatigue Syndrome.

A new approach to find biomarkers in chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME) by single-cell Raman micro-spectroscopy.

Circulating levels of GDF15 in patients with myalgic encephalomyelitis/chronic fatigue syndrome.

A laboratory approach for characterizing chronic fatigue: what does metabolomics tell us?

Rethinking ME/CFS Diagnostic Reference Intervals via Machine Learning, and the Utility of Activin B for Defining Symptom Severity.

Prospective Biomarkers from Plasma Metabolomics of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Implicate Redox Imbalance in Disease Symptomatology.

Weighting of orthostatic intolerance time measurements with standing difficulty score stratifies ME/CFS symptom severity and analyte detection.

Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients.

Hand Grip Strength as a Clinical Biomarker for ME/CFS and Disease Severity.

Restricted Spatial Windows of Visibility in Myalgic Encephalomyelitis (ME).

Identification of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome-associated DNA methylation patterns.

The UK ME/CFS Biobank: A Disease-Specific Biobank for Advancing Clinical Research Into Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.

Insights into myalgic encephalomyelitis/chronic fatigue syndrome phenotypes through comprehensive metabolomics.

The UK ME/CFS Biobank for biomedical research on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Multiple Sclerosis.

Fecal metagenomic profiles in subgroups of patients with myalgic encephalomyelitis/chronic fatigue syndrome.

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