ME/CFS Evidence Browser — Classified Studies on Myalgic Encephalomyelitis

261–280 of 298 studies

E3 PreliminaryReviewPEM requiredReview-Narrative

Neuroinflammation and Cytokines in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Critical Review of Research Methods.

VanElzakker, Michael B, Brumfield, Sydney A, Lara Mejia, Paula S·Frontiers in neurology·2018

This review examines different methods scientists use to look for signs of brain inflammation in ME/CFS, including specialized brain scans and blood tests. The authors found that while these techniques show promise, many studies have used inconsistent methods that make it hard to compare results across different research teams. They argue that scientists need better techniques and more careful standardization if we want to find reliable biological markers that could help diagnose ME/CFS.

NeuroinflammationBiomarkers

E3 PreliminaryMechanismPEM unclearObservational

The expression signature of very long non-coding RNA in myalgic encephalomyelitis/chronic fatigue syndrome.

Yang, Chin-An, Bauer, Sandra, Ho, Yu-Chen et al.·Journal of translational medicine·2018

Researchers looked at special molecules called very long non-coding RNAs in the blood of ME/CFS patients to see if they might be disease markers. They found that three of these RNA molecules (NTT, MIAT, and EmX2OS) were present at higher levels in ME/CFS patients compared to healthy people, and two of them (NTT and EmX2OS) increased with disease severity. When they tested these findings in lab cells exposed to oxidative stress and viral signals, the RNA levels increased, suggesting these molecules respond to the kinds of biological stresses that may occur in ME/CFS.

BiomarkersImmune System

E3 PreliminaryReviewPEM unclearReview-Narrative

[History of Researches on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome].

Watanabe, Yasuyoshi, Kuratsune, Hirohiko·Brain and nerve = Shinkei kenkyu no shinpo·2018

This review summarizes research on ME/CFS conducted in Japan since the disease was first identified there in 1990. Scientists have been searching for objective biological markers to help diagnose ME/CFS and understand what causes it. Recent brain imaging studies found evidence of immune cell activation in the brains of ME/CFS patients, which may be linked to the severity of their symptoms.

NeuroinflammationBiomarkers

E3 PreliminaryDiagnosticPEM not requiredMethods-Paper

A robust, single-injection method for targeted, broad-spectrum plasma metabolomics.

Li, Kefeng, Naviaux, Jane C, Bright, A Taylor et al.·Metabolomics : Official journal of the Metabolomic Society·2017

Researchers developed a new, efficient blood test that can measure over 600 different molecules (metabolites) in a single sample to help diagnose ME/CFS. The test was validated by showing it could correctly identify ME/CFS patients with 95% accuracy compared to healthy controls, even when tested again more than a year later by different researchers.

Biomarkers

E3 PreliminaryDiagnosticPEM not requiredMethods-Paper

Integrating Cell Phone Imaging with Magnetic Levitation (i-LEV) for Label-Free Blood Analysis at the Point-of-Living.

Baday, Murat, Calamak, Semih, Durmus, Naside Gozde et al.·Small (Weinheim an der Bergstrasse, Germany)·2016

Researchers developed a new technology that uses smartphones and magnetic fields to analyze blood cells without needing special dyes or labels. The system can identify and count white and red blood cells quickly and affordably, and it works in clinics, hospitals, and homes. This portable device could help doctors monitor patients with rare diseases, including ME/CFS, more easily and at lower cost.

Biomarkers

E3 PreliminaryReviewPEM not requiredReview-Narrative

Potential use of visible and near-infrared spectroscopy for the analysis and diagnosis of chronic fatigue syndrome (Review).

Sakudo, Akikazu·Molecular medicine reports·2016

This review examines whether a special type of light-based scanning called visible and near-infrared spectroscopy could help diagnose ME/CFS objectively. Currently, doctors diagnose ME/CFS only by listening to patient symptoms, with no blood test or physical measurement available. Researchers found that this light-scanning technique can detect differences in blood samples and thumb tissue between people with ME/CFS and healthy people, suggesting it might identify biological markers of the disease.

Biomarkers

E3 PreliminaryMechanismPEM not requiredCase-Control

Bottom-up proteomics suggests an association between differential expression of mitochondrial proteins and chronic fatigue syndrome.

Ciregia, F, Kollipara, L, Giusti, L et al.·Translational psychiatry·2016

This study looked at proteins in the mitochondria—the energy-producing structures in cells—to see if they differ in people with ME/CFS compared to healthy people. Researchers found that two specific proteins (ATPB and ACON) were higher in people with ME/CFS, suggesting these could potentially be useful markers to help identify the condition. The findings also hint that different subgroups of ME/CFS patients may have different protein patterns, which could eventually lead to more personalized treatments.

Biomarkers

E3 PreliminaryMechanismPEM not requiredMechanistic

MicroRNAs hsa-miR-99b, hsa-miR-330, hsa-miR-126 and hsa-miR-30c: Potential Diagnostic Biomarkers in Natural Killer (NK) Cells of Patients with Chronic Fatigue Syndrome (CFS)/ Myalgic Encephalomyelitis (ME).

Petty, Robert D, McCarthy, Neil E, Le Dieu, Rifca et al.·PloS one·2016

This study examined tiny molecules called microRNAs in immune cells from ME/CFS patients and healthy people. Researchers found that four specific microRNAs were abnormally high in patients' blood, particularly in natural killer (NK) immune cells. When they tested these microRNAs in the lab, they found they affected how NK cells work, suggesting this might contribute to ME/CFS symptoms.

BiomarkersImmune System

E3 PreliminaryMechanismPEM not requiredMechanistic

Human herpesvirus 6 and 7 are biomarkers for fatigue, which distinguish between physiological fatigue and pathological fatigue.

Aoki, Ryo, Kobayashi, Nobuyuki, Suzuki, Go et al.·Biochemical and biophysical research communications·2016

This study looked at whether two common viruses (HHV-6 and HHV-7) in saliva could help doctors tell the difference between normal tiredness and the severe, long-lasting fatigue seen in conditions like ME/CFS. The researchers found that these viruses increased in saliva when people were physically stressed or tired from work, then quickly decreased with rest. Importantly, these viruses did NOT increase in people with ME/CFS, sleep apnea, or depression, suggesting they might be useful markers for normal fatigue but not pathological fatigue.

Biomarkers

E3 PreliminaryMechanismPEM unclearObservational

High-throughput sequencing of plasma microRNA in chronic fatigue syndrome/myalgic encephalomyelitis.

Brenu, Ekua W, Ashton, Kevin J, Batovska, Jana et al.·PloS one·2014

This study looked for tiny molecular messages called microRNAs in the blood of ME/CFS patients to see if they might work as a diagnostic tool. Researchers compared blood samples from ME/CFS patients and healthy people, and found three microRNAs that were higher in ME/CFS patients. This is an early-stage discovery that could eventually help doctors identify ME/CFS more easily through a simple blood test.

Biomarkers

E3 PreliminaryReviewPEM not requiredReview-Narrative

Chronic Fatigue Syndrome: The Current Status and Future Potentials of Emerging Biomarkers.

Fischer, David Benjamin, William, Arsani Hany, Strauss, Adam Campbell et al.·Fatigue : biomedicine, health & behavior·2014

This review examines potential blood tests and biological markers that could help doctors better understand and diagnose ME/CFS. Currently, ME/CFS is diagnosed mainly based on symptoms because we lack clear objective tests. The authors suggest that identifying specific biomarkers—measurable biological signs—could help identify different subtypes of ME/CFS, which might respond better to different treatments.

BiomarkersImmune System

E3 PreliminaryReviewPEM unclearReview-Narrative

Assessment of intracellular cytokines and regulatory cells in patients with autoimmune diseases and primary immunodeficiencies - novel tool for diagnostics and patient follow-up.

Osnes, Liv T, Nakken, Britt, Bodolay, Edit et al.·Autoimmunity reviews·2013

This article reviews how scientists measure specific immune system molecules called cytokines and immune cells to help diagnose and monitor autoimmune diseases and immune deficiencies. By measuring both inflammatory and anti-inflammatory markers together, doctors can better understand what's happening in a patient's immune system and track whether treatments are working.

BiomarkersImmune System

E3 PreliminaryCohortPEM unclearCase-Control

A multidisciplinary approach to study a couple of monozygotic twins discordant for the chronic fatigue syndrome: a focus on potential salivary biomarkers.

Ciregia, Federica, Giusti, Laura, Da Valle, Ylenia et al.·Journal of translational medicine·2013

Researchers studied saliva samples from identical twins—one with ME/CFS and one healthy—to look for protein differences that might help diagnose the disease. They found 13 proteins that were expressed differently in the sick twin compared to the healthy twin, with many of these proteins linked to inflammation and immune system function. This suggests that a simple saliva test might one day help doctors diagnose ME/CFS more reliably.

BiomarkersImmune System

E3 PreliminaryReviewPEM not requiredReview-Narrative

[Biomarkers of stress and fatigue].

Tanaka, Yoshihide·Nihon rinsho. Japanese journal of clinical medicine·2012

This paper reviews different ways to measure stress and fatigue in the body. Instead of just asking patients how stressed they feel, researchers are looking for physical markers—like stress hormones in saliva or hair—that show whether someone is experiencing chronic stress. The authors explain how chronic stress affects the nervous system, hormones, and immune system, and discuss which biological markers might be useful for understanding chronic fatigue syndrome.

BiomarkersImmune System

E3 PreliminaryMechanismPEM unclearCross-Sectional

Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome.

Light, A R, Bateman, L, Jo, D et al.·Journal of internal medicine·2012

This study looked at how genes are turned on and off in people with ME/CFS before and after moderate exercise. Researchers found that about 71% of ME/CFS patients showed increased activity in genes related to nerve signaling and stress response after exercise, which correlated with their fatigue and pain levels. A smaller subgroup (29%) showed a different pattern, with decreased activity in one specific gene, and these patients were more likely to have orthostatic intolerance (dizziness when standing).

BiomarkersPost-Exertional Malaise

E3 PreliminaryDiagnosticPEM not requiredObservational

Supervised selection of single nucleotide polymorphisms in chronic fatigue syndrome.

Cifuentes, Ricardo A, Barreto, Emiliano·Biomedica : revista del Instituto Nacional de Salud·2011

This study examined whether specific genetic variations (single nucleotide polymorphisms or SNPs) could help predict who has ME/CFS. Researchers used a mathematical approach to identify the most useful genetic markers and found a combination of two genetic variants that correctly identified ME/CFS in about 73% of cases. When this genetic profile was combined with specific symptoms like muscle pain or sinus problems, the accuracy improved to over 87%.

Biomarkers

E3 PreliminaryDiagnosticPEM not requiredMethods-Paper

Identification of Phosphoglycerate Kinase 1 (PGK1) as a reference gene for quantitative gene expression measurements in human blood RNA.

Falkenberg, Virginia R, Whistler, Toni, Murray, Janna' R et al.·BMC research notes·2011

Researchers studying ME/CFS need reliable ways to measure gene activity in blood samples. This study found that a gene called PGK1 is a stable and reliable 'reference point' for comparing gene measurements across different blood collection methods and sample types. Using a single stable reference gene like PGK1 makes it easier for scientists to get accurate, comparable results when searching for blood-based biomarkers of ME/CFS.

Biomarkers

E3 PreliminaryReviewPEM unclearReview-Narrative

Chronic fatigue syndrome and fibromyalgia: a status report in 2010.

Natelson, Benjamin H·MD advisor : a journal for New Jersey medical community·2010

This 2010 report by Dr. Benjamin Natelson reviews the current understanding of ME/CFS and fibromyalgia, two conditions that cause persistent fatigue and pain. The report summarizes what doctors and researchers knew at that time about how these conditions develop, how they affect the body, and how they are treated. It provides an overview of the scientific evidence available in 2010 to help explain why people with these conditions experience their symptoms.

Biomarkers

E3 PreliminaryCohortPEM not requiredCross-Sectional

Secondary structural changes of proteins in fingernails of chronic fatigue syndrome patients from Fourier-transform infrared spectra.

Sakudo, Akikazu, Kuratsune, Hirohiko, Kato, Yukiko Hakariya et al.·Clinica chimica acta; international journal of clinical chemistry·2009

Researchers used a special infrared scanner to examine fingernails from people with ME/CFS and compared them to healthy people's nails. They found that the proteins in ME/CFS patients' nails had different structures—specifically, the nails showed less of a protein structure called alpha-helix and more of a structure called beta-sheet. This suggests that ME/CFS may cause measurable changes in nail composition that could potentially be detected with this scanning technology.

Biomarkers

E3 PreliminaryMechanismPEM not requiredCross-Sectional

Identification of marker genes for differential diagnosis of chronic fatigue syndrome.

Saiki, Takuya, Kawai, Tomoko, Morita, Kyoko et al.·Molecular medicine (Cambridge, Mass.)·2008

This study looked at blood samples from ME/CFS patients and compared the activity of genes between patients and healthy people. Researchers found 9 genes that showed different activity patterns in ME/CFS patients—genes involved in energy production, immune cell function, and protein breakdown. These 9 genes were able to correctly identify ME/CFS patients about 94% of the time, suggesting they could potentially be useful as a biological test to diagnose the condition.

Biomarkers

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Neuroinflammation and Cytokines in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS): A Critical Review of Research Methods.

The expression signature of very long non-coding RNA in myalgic encephalomyelitis/chronic fatigue syndrome.

[History of Researches on Myalgic Encephalomyelitis/Chronic Fatigue Syndrome].

A robust, single-injection method for targeted, broad-spectrum plasma metabolomics.

Integrating Cell Phone Imaging with Magnetic Levitation (i-LEV) for Label-Free Blood Analysis at the Point-of-Living.

Potential use of visible and near-infrared spectroscopy for the analysis and diagnosis of chronic fatigue syndrome (Review).

Bottom-up proteomics suggests an association between differential expression of mitochondrial proteins and chronic fatigue syndrome.

MicroRNAs hsa-miR-99b, hsa-miR-330, hsa-miR-126 and hsa-miR-30c: Potential Diagnostic Biomarkers in Natural Killer (NK) Cells of Patients with Chronic Fatigue Syndrome (CFS)/ Myalgic Encephalomyelitis (ME).

Human herpesvirus 6 and 7 are biomarkers for fatigue, which distinguish between physiological fatigue and pathological fatigue.

High-throughput sequencing of plasma microRNA in chronic fatigue syndrome/myalgic encephalomyelitis.

Chronic Fatigue Syndrome: The Current Status and Future Potentials of Emerging Biomarkers.

Assessment of intracellular cytokines and regulatory cells in patients with autoimmune diseases and primary immunodeficiencies - novel tool for diagnostics and patient follow-up.

A multidisciplinary approach to study a couple of monozygotic twins discordant for the chronic fatigue syndrome: a focus on potential salivary biomarkers.

[Biomarkers of stress and fatigue].

Gene expression alterations at baseline and following moderate exercise in patients with Chronic Fatigue Syndrome and Fibromyalgia Syndrome.

Supervised selection of single nucleotide polymorphisms in chronic fatigue syndrome.

Identification of Phosphoglycerate Kinase 1 (PGK1) as a reference gene for quantitative gene expression measurements in human blood RNA.

Chronic fatigue syndrome and fibromyalgia: a status report in 2010.

Secondary structural changes of proteins in fingernails of chronic fatigue syndrome patients from Fourier-transform infrared spectra.

Identification of marker genes for differential diagnosis of chronic fatigue syndrome.

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