ME/CFS Evidence Browser — Classified Studies on Myalgic Encephalomyelitis

241–260 of 270 studies

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 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

E3 PreliminaryMechanismPEM not requiredObservational

[Chronic fatigue syndrome and herpesvirus reactivation].

Kondo, Kazuhiro·Nihon rinsho. Japanese journal of clinical medicine·2007

This study looked at whether two common viruses that hide dormant in our bodies (HHV-6 and HHV-7) wake up and become active during fatigue. Researchers found that healthy people shed more HHV-6 in their saliva when tired from work, but ME/CFS patients did not show this pattern. However, HHV-7 did increase in both groups, suggesting these viruses might be useful markers to measure fatigue objectively.

BiomarkersImmune System

E3 PreliminaryDiagnosticPEM not requiredCross-Sectional

[Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra].

Sakudo, Akikazu, Kuratsune, Hirohiko, Hakariya, Yukiko et al.·Nihon rinsho. Japanese journal of clinical medicine·2007

Researchers tested whether a special light-based technology called visible and near-infrared spectroscopy could help diagnose ME/CFS by analyzing blood samples and skin. The technique uses different wavelengths of light to detect patterns that might differ between people with ME/CFS and healthy people. Early results showed the method could correctly identify about 70-80% of cases, suggesting this approach might one day offer a quick, non-invasive way to help diagnose the condition.

Biomarkers

E3 PreliminaryMechanismPEM not requiredCross-Sectional

[Identification and application of marker genes for differential diagnosis of chronic fatigue syndrome].

Kawai, Tomoko, Rokutan, Kazuhito·Nihon rinsho. Japanese journal of clinical medicine·2007

This study looked for genetic markers (differences in how genes are expressed) that could help doctors diagnose ME/CFS with a blood test. The researchers identified 9 genes that were expressed differently in ME/CFS patients compared to healthy people, and showed these genes could potentially be used to distinguish ME/CFS from other conditions.

Biomarkers

E3 PreliminaryMechanismPEM not requiredCross-Sectional

Gene expression profile of empirically delineated classes of unexplained chronic fatigue.

Carmel, Liran, Efroni, Sol, White, Peter D et al.·Pharmacogenomics·2006

Researchers examined genes in blood samples from 111 women with unexplained chronic fatigue to see if different types of fatigue had different gene patterns. They used computer analysis to identify specific genes that were active or inactive in different fatigue groups. They found that certain genes were consistently different between fatigued and healthy people, while other genes only differed in specific fatigue subgroups.

Biomarkers

E3 PreliminaryDiagnosticPEM not requiredMethods-Paper

Interpreter of maladies: redescription mining applied to biomedical data analysis.

Waltman, Peter, Pearlman, Alex, Mishra, Bud·Pharmacogenomics·2006

This paper describes a new computational method for analyzing complex medical data to better understand disease causes. The authors explain how combining genetic, protein, and clinical information from patients and healthy people can reveal hidden patterns that explain why diseases like ME/CFS occur and progress. They demonstrate this approach using a large CDC dataset from patients with ME/CFS.

Biomarkers

E3 PreliminaryDiagnosticPEM unclearMethods-Paper

CFSUM1 and CFSUM2 in urine from patients with chronic fatigue syndrome are methodological artefacts.

Chalmers, Ronald A, Jones, Mark G, Goodwin, C Stewart et al.·Clinica chimica acta; international journal of clinical chemistry·2006

An earlier study claimed to find two special markers in the urine of ME/CFS patients that could help diagnose the condition. This study re-examined those findings and discovered that these supposed markers were actually just artifacts—unintended byproducts created by the way the urine samples were prepared in the lab, not real biological differences between patients and healthy people.

Biomarkers

E3 PreliminaryMechanismPEM not requiredObservational

Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.

Fostel, Jennifer, Boneva, Roumiana, Lloyd, Andrew·Pharmacogenomics·2006

Researchers used blood tests and symptom questionnaires to look for biological markers that could help identify ME/CFS. They found that ME/CFS involves multiple symptom patterns (fatigue and mood changes being most prominent) and identified 57 genes whose activity differed between people with severe symptoms and those with mild symptoms. However, no single gene or blood test on its own clearly identifies the disease.

Biomarkers

E3 PreliminaryCohortPEM not requiredCross-Sectional

Chronic fatigue syndrome is accompanied by an IgM-related immune response directed against neopitopes formed by oxidative or nitrosative damage to lipids and proteins.

Maes, Michael, Mihaylova, Ivana, Leunis, Jean-Claude·Neuro endocrinology letters·2006

This study found that people with ME/CFS have higher levels of immune antibodies (IgM) attacking damaged fats and proteins in their bodies. These antibodies target substances created when cells are damaged by oxidative stress—a harmful process where the body's natural defenses become imbalanced. The more severe someone's ME/CFS symptoms were, the higher their antibody levels tended to be.

BiomarkersImmune System

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

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.

[Chronic fatigue syndrome and herpesvirus reactivation].

[Spectroscopic diagnosis of chronic fatigue syndrome by multivariate analysis of visible and near-infrared spectra].

[Identification and application of marker genes for differential diagnosis of chronic fatigue syndrome].

Gene expression profile of empirically delineated classes of unexplained chronic fatigue.

Interpreter of maladies: redescription mining applied to biomedical data analysis.

CFSUM1 and CFSUM2 in urine from patients with chronic fatigue syndrome are methodological artefacts.

Exploration of the gene expression correlates of chronic unexplained fatigue using factor analysis.

Chronic fatigue syndrome is accompanied by an IgM-related immune response directed against neopitopes formed by oxidative or nitrosative damage to lipids and proteins.

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