Patient-Reported Treatment Outcomes in ME/CFS and Long COVID

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and Long COVID are persistent multi-system illnesses affecting many patients. With no known effective FDA-approved treatments for either condition, patient-reported outcomes of treatments are invaluable for guiding management strategies in patient care and generating new avenues for research. Here, we present the results of an ME/CFS and Long COVID treatment survey with responses from 3,925 patients.

We assessed the experiences of these patients with more than 150 treatments, as well as their demographics, symptoms, and comorbidities. Patients with each condition who participated in the study shared similar symptom profiles, including all the core symptoms of ME/CFS, e.g., 89.7% of ME/CFS and 79.4% of Long COVID reported post-exertional malaise (PEM). Treatments with the greatest perceived benefits were identified, which had varied effects on different core symptoms.

In addition, treatment responses were significantly correlated (R² = 0.68) between the two patient groups. Patient subgroups with distinct profiles of symptoms and comorbidities showed varied responses to treatments, e.g., a POTS-dominant cluster benefiting from autonomic modulators and a cognitive-dysfunction cluster from CNS stimulants.

This study underscores the symptomatic and therapeutic similarities between ME/CFS and Long COVID and highlights the commonalities and nuanced complexities of infection-associated chronic diseases and related conditions. Insights from patient-reported experiences, in the absence of approved treatments, provide urgently needed real-world evidence for targeted therapies in patient care and for developing future clinical trials.

Source: Martha EckeyPeng LiBraxton MorrisonRonald W DavisWenzhong Xiao. Patient-Reported Treatment Outcomes in ME/CFS and Long COVID.

A Network Medicine Approach to Investigating ME/CFS Pathogenesis in Severely Ill Patients: A Pilot Study

Abstract:

This pilot study harnessed the power of network medicine to unravel the complex pathogenesis of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). By utilizing a network analysis on whole genome sequencing (WGS) data from the Severely Ill Patient Study (SIPS), we identified ME/CFS-associated proteins and delineated the corresponding network-level module, termed the SIPS disease module, together with its relevant pathways. This module demonstrated significant overlap with genes implicated in fatigue, cognitive disorders, and neurodegenerative diseases.

Our pathway analysis revealed potential associations between ME/CFS and conditions such as COVID-19, Epstein-Barr virus (EBV) infection, neurodegenerative diseases, and pathways involved in cortisol synthesis and secretion, supporting the hypothesis that ME/CFS is a neuroimmune disorder. Additionally, our findings underscore a potential link between ME/CFS and estrogen signaling pathways, which may elucidate the higher prevalence of ME/CFS in females.

These findings provide insights into the pathogenesis of ME/CFS from a network medicine perspective and highlight potential therapeutic targets. Further research is needed to validate these findings and explore their implications for improving diagnosis and treatment.

Source: Li-Yuan Hung, Chan-Shuo Wu, Chia-Jung Chang, Peng Li, Kimberly Hicks, Becky Taurog, Joshua J Dibble, Braxton Morrison, Chimere L Smith, Ronald W Davis, Wenzhong Xiao. A Network Medicine Approach to Investigating ME/CFS Pathogenesis in Severely Ill Patients: A Pilot Study.
medRxiv 2024.09.26.24314417; doi: https://doi.org/10.1101/2024.09.26.24314417 https://www.medrxiv.org/content/10.1101/2024.09.26.24314417v1 (Full text available as PDF file)

Longitudinal Cytokine and Multi-Modal Health Data of an Extremely Severe ME/CFS Patient with HSD Reveals Insights into Immunopathology, and Disease Severity

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) presents significant challenges in patient care due to its intricate multisystem nature, comorbidities, and global prevalence. To address these complexities, we employed a comprehensive approach, integrating longitudinal cytokine profiling with extensive clinical, health, textual, pharmaceutical, and nutraceutical data, and performed personalized analyses using AI.

Focusing on an exceptionally severe ME/CFS patient with hypermobility spectrum disorder (HSD) and marginal symptom improvements, our study highlights the dynamic nature of symptoms, severity, triggers, and modifying factors. As part of this study, we introduced an updated platform and two applications, ME-CFSTrackerApp, and LexiTime, facilitating real-time symptom tracking and enhancing physician-patient communication.

Our longitudinal cytokine profiling underscores the significance of Th2-type cytokines and synergistic activities between mast cells and eosinophils, leading to skewing of Th1 toward Th2 immune responses in ME/CFS pathogenesis, especially in cognitive impairment and sensorial intolerance. This suggests a potentially shared underlying mechanism with major comorbidities.

Additionally, our data reveal potential roles of BCL6 and TP53 pathways in ME/CFS etiology and emphasize the importance of investigating low-dose drugs with partial agonist activity in ME/CFS treatment. Our analyses underscore the patient-centered care approach for better healthcare management.

Source: Fereshteh Jahanbani1, Justin C. Sing, Rajan D. Maynard, Shaghayegh Jahanbani, Janet Dafoe, Whitney Dafoe, Nathan Jones, Kelvin J. Wallace, Azuravesta Rastan, Hannes Rost, Holden Maecker, Michael P. Snyder, Ronald W. Davis. Longitudinal Cytokine and Multi-Modal Health Data of an Extremely Severe ME/CFS Patient with HSD Reveals Insights into Immunopathology, and Disease Severity. Front. Immunol. Sec. Autoimmune and Autoinflammatory Disorders: Autoinflammatory Disorders. Volume 15 – 2024 | doi: 10.3389/fimmu.2024.1369295 https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1369295/abstract

Phenotypic characteristics of peripheral immune cells of Myalgic encephalomyelitis/chronic fatigue syndrome via transmission electron microscopy: A pilot study

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.

Source: 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 Aug 9;17(8):e0272703. doi: 10.1371/journal.pone.0272703. PMID: 35943990. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0272703 (Full text)

A Comprehensive Examination of Severely Ill ME/CFS Patients

One in four myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) patients are estimated to be severely affected by the disease, and these house-bound or bedbound patients are currently understudied. Here, we report a comprehensive examination of the symptoms and clinical laboratory tests of a cohort of severely ill patients and healthy controls.
The greatly reduced quality of life of the patients was negatively correlated with clinical depression. The most troublesome symptoms included fatigue (85%), pain (65%), cognitive impairment (50%), orthostatic intolerance (45%), sleep disturbance (35%), post-exertional malaise (30%), and neurosensory disturbance (30%). Sleep profiles and cognitive tests revealed distinctive impairments. Lower morning cortisol level and alterations in its diurnal rhythm were observed in the patients, and antibody and antigen measurements showed no evidence for acute infections by common viral or bacterial pathogens.
These results highlight the urgent need of developing molecular diagnostic tests for ME/CFS. In addition, there was a striking similarity in symptoms between long COVID and ME/CFS, suggesting that studies on the mechanism and treatment of ME/CFS may help prevent and treat long COVID and vice versa.
Source: Chang C-J, Hung L-Y, Kogelnik AM, Kaufman D, Aiyar RS, Chu AM, Wilhelmy J, Li P, Tannenbaum L, Xiao W, Davis RW. A Comprehensive Examination of Severely Ill ME/CFS Patients. Healthcare. 2021; 9(10):1290. https://doi.org/10.3390/healthcare9101290 https://www.mdpi.com/2227-9032/9/10/1290/htm  (Full text)

The IDO Metabolic Trap Hypothesis for the Etiology of ME/CFS

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating noncommunicable disease brandishing an enormous worldwide disease burden with some evidence of inherited genetic risk. Absence of measurable changes in patients’ standard blood work has necessitated ad hoc symptom-driven therapies and a dearth of mechanistic hypotheses regarding its etiology and possible cure. A new hypothesis, the indolamine-2,3-dioxygenase (IDO) metabolic trap, was developed and formulated as a mathematical model.

The historical occurrence of ME/CFS outbreaks is a singular feature of the disease and implies that any predisposing genetic mutation must be common. A database search for common damaging mutations in human enzymes produces 208 hits, including IDO2 with four such mutations. Non-functional IDO2, combined with well-established substrate inhibition of IDO1 and kinetic asymmetry of the large neutral amino acid transporter, LAT1, yielded a mathematical model of tryptophan metabolism that displays both physiological and pathological steady-states. Escape from the pathological one requires an exogenous perturbation.

This model also identifies a critical point in cytosolic tryptophan abundance beyond which descent into the pathological steady-state is inevitable. If, however, means can be discovered to return cytosolic tryptophan below the critical point, return to the normal physiological steady-state is assured. Testing this hypothesis for any cell type requires only labelled tryptophan, a means to measure cytosolic tryptophan and kynurenine, and the standard tools of tracer kinetics.

Source: Alex A. Kashi, Ronald W. Davis and Robert D. Phair. The IDO Metabolic Trap Hypothesis for the Etiology of ME/CFS. Diagnostics 2019, 9(3), 82; https://doi.org/10.3390/diagnostics9030082 https://www.mdpi.com/2075-4418/9/3/82/htm (Full article)

Red blood cell biomechanics in Chronic Fatigue Syndrome

INTRODUCTION:

Chronic Fatigue Syndrome (CFS) is a multi-systemic illness of unknown etiology, affecting millions worldwide [1], with the capacity to persist for several years. It is characterized by persistent or relapsing unexplained fatigue of at least 6 months’ duration that is not alleviated by rest. CFS can be debilitating, and its clinical definition includes a broad cluster of symptoms and signs that give it its distinct character, and its diagnosis is based on these characteristic symptom patterns including cognitive impairment, post-exertional malaise, unrefreshing sleep, headache, hypersensitivity to noise, light or certain food items. Although an abnormal profile of circulating proinflammatory cytokines, and the presence of chronic oxidative and nitrosative stresses have been identified and correlated with severity in CFS [2], there are no reliable molecular or cellular biomarkers of the disease.

Read the rest of this article HERE.

Source: Saha, Amit & R. Schmidt, Brendan & Kumar, Arun & Saadat, Amir & C. Suja, Vineeth & Nguyen, Vy & K. Do, Justin & Ho, Wendy & Nemat-Gorgani, Mohsen & Shaqfeh, Eric & Ramasubrmanian, Anand & Davis, Ronald. (2019). Red Blood Cell Biomechanics in Chronic Fatigue Syndrome. Summer Biomechanics, Bioengineering and Biotransport Conference. June 25 -28, Seven Springs, PA, USA

A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)

Abstract:

There is not currently a well-established, if any, biological test to diagnose myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The molecular aberrations observed in numerous studies of ME/CFS blood cells offer the opportunity to develop a diagnostic assay from blood samples. Here we developed a nanoelectronics assay designed as an ultrasensitive assay capable of directly measuring biomolecular interactions in real time, at low cost, and in a multiplex format.

To pursue the goal of developing a reliable biomarker for ME/CFS and to demonstrate the utility of our platform for point-of-care diagnostics, we validated the array by testing patients with moderate to severe ME/CFS patients and healthy controls. The ME/CFS samples’ response to the hyperosmotic stressor observed as a unique characteristic of the impedance pattern and dramatically different from the response observed among the control samples. We believe the observed robust impedance modulation difference of the samples in response to hyperosmotic stress can potentially provide us with a unique indicator of ME/CFS. Moreover, using supervised machine learning algorithms, we developed a classifier for ME/CFS patients capable of identifying new patients, required for a robust diagnostic tool.

Source: R. Esfandyarpour, A. Kashi, M. Nemat-Gorgani, J. Wilhelmy, and R. W. Davis. A nanoelectronics-blood-based diagnostic biomarker for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PNAS first published April 29, 2019 https://doi.org/10.1073/pnas.1901274116

Biomarker for chronic fatigue syndrome identified by Stanford researchers

People suffering from a debilitating and often discounted disease known as chronic fatigue syndrome may soon have something they’ve been seeking for decades: scientific proof of their ailment.

Researchers at the Stanford University School of Medicine have created a blood test that can flag the disease, which currently lacks a standard, reliable diagnostic test.

“Too often, this disease is categorized as imaginary,” said Ron Davis, PhD, professor of biochemistry and of genetics. When individuals with chronic fatigue syndrome seek help from a doctor, they may undergo a series of tests that check liver, kidney and heart function, as well as blood and immune cell counts, Davis said. “All these different tests would normally guide the doctor toward one illness or another, but for chronic fatigue syndrome patients, the results all come back normal,” he said.

The problem, he said, is that they’re not looking deep enough. Now, Davis; Rahim Esfandyarpour, PhD, a former Stanford research associate; and their colleagues have devised a blood-based test that successfully identified participants in a study with chronic fatigue syndrome. The test, which is still in a pilot phase, is based on how a person’s immune cells respond to stress. With blood samples from 40 people — 20 with chronic fatigue syndrome and 20 without — the test yielded precise results, accurately flagging all chronic fatigue syndrome patients and none of the healthy individuals.

The diagnostic platform could even help identify possible drugs to treat chronic fatigue syndrome. By exposing the participants’ blood samples to drug candidates and rerunning the diagnostic test, the scientists could potentially see whether the drug improved the immune cells’ response. Already, the team is using the platform to screen for potential drugs they hope can help people with chronic fatigue syndrome down the line.

A paper describing the research findings will be published online April 29 in the Proceedings of the National Academy of Sciences. Davis is the senior author. Esfandyarpour, who is now on the faculty of the University of California-Irvine, is the lead author.

Providing the proof

The diagnosis of chronic fatigue syndrome, when it actually is diagnosed, is based on symptoms — exhaustion, sensitivity to light and unexplained pain, among other things — and it comes only after other disease possibilities have been eliminated. It’s estimated that 2 million people in the United States have chronic fatigue syndrome, but that’s a rough guess, Davis said, and it’s likely much higher.

For Davis, the quest to find scientific evidence of the malady is personal. It comes from a desire to help his son, who has suffered from chronic fatigue syndrome for about a decade. In fact, it was a biological clue that Davis first spotted in his son that led him and Esfandyarpour to develop the new diagnostic tool.

The approach, of which Esfandyarpour led the development, employs a “nanoelectronic assay,” which is a test that measures changes in miniscule amounts of energy as a proxy for the health of immune cells and blood plasma. The diagnostic technology contains thousands of electrodes that create an electrical current, as well as chambers to hold simplified blood samples composed of immune cells and plasma. Inside the chambers, the immune cells and plasma interfere with the current, changing its flow from one end to another. The change in electrical activity is directly correlated with the health of the sample.

The idea is to stress the samples from both healthy and ill patients using salt, and then compare how each sample affects the flow of the electrical current. Changes in the current indicate changes in the cell: the bigger the change in current, the bigger the change on a cellular level. A big change is not a good thing; it’s a sign that the cells and plasma are flailing under stress and incapable of processing it properly. All of the blood samples from chronic fatigue syndrome patients created a clear spike in the test, whereas those from healthy controls returned data that was on a relatively even keel.

“We don’t know exactly why the cells and plasma are acting this way, or even what they’re doing,” Davis said. “But there is scientific evidence that this disease is not a fabrication of a patient’s mind. We clearly see a difference in the way healthy and chronic fatigue syndrome immune cells process stress.” Now, Esfandyarpour and Davis are expanding their work to confirm the findings in a larger cohort of participants.

Doubling up

In addition to diagnosing chronic fatigue syndrome, the researchers are also harnessing the platform to screen for drug-based treatments, since currently the options are slim. “Using the nanoelectronics assay, we can add controlled doses of many different potentially therapeutic drugs to the patient’s blood samples and run the diagnostic test again,” Esfandyarpour said.

If the blood samples taken from those with chronic fatigue syndrome still respond poorly to stress and generate a spike in electrical current, then the drug likely didn’t work. If, however, a drug seems to mitigate the jump in electrical activity, that could mean it is helping the immune cells and plasma better process stress. So far, the team has already found a candidate drug that seems to restore healthy function to immune cells and plasma when tested in the assay. The drug, while successful in the assay, is not currently being used in people with chronic fatigue syndrome, but Davis and Esfandyarpour are hopeful that they can test their finding in a clinical trial in the future.

All of the drugs being tested are either already approved by the Food and Drug Administration or will soon be broadly accessible to the public, which is key to fast access and dissemination should any of these compounds pan out.

###

Other Stanford authors of the study are research scientists Neda Nemat-Gorgani and Julie Wilhelmy and research assistant, Alex Kashi.

The study was funded by the Open Medicine Foundation. Davis is the director of the foundation’s scientific advisory board.

Stanford’s departments of Genetics and of Biochemistry also supported the work

The Stanford University School of Medicine consistently ranks among the nation’s top medical schools, integrating research, medical education, patient care and community service. For more news about the school, please visit http://med.stanford.edu/school.html. The medical school is part of Stanford Medicine, which includes Stanford Health Care and Stanford Children’s Health. For information about all three, please visit http://med.stanford.edu.

Altered Erythrocyte biophysical properties in Chronic Fatigue Syndrome

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a multi-systemic illness of unknown etiology affecting millions of individuals worldwide. In this work, we tested the hypothesis that erythrocyte biophysical properties are adversely affected in ME/CFS.

We tested erythrocyte deformability using a high-throughput microfluidic device which mimics microcapillaries. We perfused erythrocytes from ME/CFS patients and from age and sex matched healthy controls (n=14 pairs of donors) through a high-throughput microfluidic platform (5μmx5μm). We recorded cell movement at high speed (4000 fps), followed by image analysis to assess the following parameters: entry time (time required by cells to completely enter the test channels), average transit velocity (velocity of cells inside the test channels) and elongation index (ratio of the major diameter before and after deformation in the test channel). We observed that erythrocytes from ME/CFS patients had higher entry time, lower average transit velocity and lower elongation index as compared to healthy controls.

Taken together, this data shows that erythrocytes from ME/CFS patients have reduced deformability. To corroborate our findings, we measured the erythrocyte sedimentation rate for these donors which show that the erythrocytes from ME/CFS patients had lower sedimentation rates. To understand the basis for differences in deformability, we investigated changes in the fluidity of the membrane using pyrenedecanoic acid and observed that erythrocytes from ME/CFS patients have lower membrane fluidity. Zeta potential measurements showed that ME/CFS patients had lower net negative surface charge on the erythrocyte plasma membrane. Higher levels of reactive oxygen species in erythrocytes from ME/CFS patients were also observed. Using scanning electron microscopy, we also observed changes in erythrocyte morphology between ME/CFS patients and healthy controls.

Finally, preliminary studies show that erythrocytes from “recovering” ME/CFS patients do not show such differences, suggesting a connection between erythrocyte deformability and disease severity.

Source: Amit K. Saha, Brendan R. Schmidt, Julie Wilhelmy, Vy Nguyen, Justin K. Do, Vineeth C. Suja, Mohsen Nemat-Gorgani, Anand K. Ramasubramanian, Ronald W. Davis. Altered Erythrocyte Biophysical Properties in Chronic Fatigue Syndrome. Biophys. Journal. VOLUME 116, ISSUE 3, SUPPLEMENT 1, 122A, FEBRUARY 15, 2019. https://www.cell.com/biophysj/fulltext/S0006-3495(18)31946-5