Tag: long covid vs ME/CFS

Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection

Abstract:

Background: COVID-19 has taken millions of lives and continues to affect people worldwide. Post-Acute Sequelae of SARS-CoV-2 Infection (also known as Post-Acute Sequelae of COVID-19 (PASC) or more commonly, Long COVID) occurs in the aftermath of COVID-19 and is poorly understood despite its widespread effects.

Methods: We created a machine-learning model that distinguishes PASC from PASC-similar diseases. The model was trained to recognize PASC-dysregulated metabolites (p ≤ 0.05) using molecular descriptors.

Results: Our multi-layer perceptron model accurately recognizes PASC-dysregulated metabolites in the independent testing set, with an AUC-ROC of 0.8991, and differentiates PASC from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Lyme disease, postural orthostatic tachycardia syndrome (POTS), and irritable bowel syndrome (IBS). However, it was unable to differentiate fibromyalgia (FM) from PASC.

Conclusions: By creating and testing models pairwise on each of these diseases, we elucidated the unique strength of the similarity between FM and PASC relative to other PASC-similar diseases. Our approach is unique to PASC diagnosis, and our use of molecular descriptors enables our model to work with any metabolite where molecular descriptors can be identified, as these descriptors can be generated and compared for any metabolite. Our study presents a novel approach to PASC diagnosis that partially circumvents the lengthy process of exclusion, potentially facilitating faster interventions and improved patient outcomes.

Source: Cai E, Kouznetsova VL, Tsigelny IF. Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection. Metabolites. 2025 Dec 17;15(12):801. doi: 10.3390/metabo15120801. PMID: 41441042; PMCID: PMC12734907. https://pmc.ncbi.nlm.nih.gov/articles/PMC12734907/ (Full text)

Long COVID: a long road ahead

Abstract:

The SARS-CoV-2 pandemic caused an estimated 400 million people worldwide to experience Long COVID and post-COVID complications leading to significant chronic illness and disability with its devastating physical, societal and economic consequences. Since post-acute infectious syndromes have not been given adequate consideration prior to the pandemic, many millions of people with Long COVID worldwide have been left disabled as currently available therapies are largely symptomatic and only partially effective.

A case of a previously healthy woman with Long COVID and post-COVID autonomic dysfunction and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is presented here from the perspective of a physician-patient relationship and a broader context of medical care and public health. Immunologic and autonomic mechanistic factors and therapies as these relate to Long COVID are highlighted.

Complexities and issues pertaining to patient care, public health and education of neurologists and other specialists regarding Long COVID, dysautonomia and ME/CFS diagnosis and treatment are discussed, in conjunction with the need to develop and diversify effective therapies for people living with these highly disabling conditions.

Source: Blitshteyn S. Long COVID: a long road ahead. Oxf Open Immunol. 2025 Dec 13;6(1):iqaf010. doi: 10.1093/oxfimm/iqaf010. PMID: 41426345; PMCID: PMC12718103. https://pmc.ncbi.nlm.nih.gov/articles/PMC12718103/ Full text)

Identification of Novel Reproducible Combinatorial Genetic Risk Factors for Myalgic Encephalomyelitis in the DecodeME Patient Cohort and Commonalities with Long COVID

Abstract:

Background: Myalgic encephalomyelitis (also known as ME/CFS or simply ME) has severely impacted the lives of tens of millions of people globally, but the disease currently has no accurate diagnostic tools or effective treatments. Identifying the biological causes of ME has proven challenging due to its wide range of symptoms and affected organs, and the lack of reproducible genetic associations across ME populations. This has prolonged misunderstanding, lack of awareness, and denial of the disease, further harming patients.

Methods: We used the PrecisionLife combinatorial analytics platform to identify disease signatures (i.e., combinations of 1-4 SNP-genotypes) that are significantly enriched in two cohorts of ME participants from DecodeME relative to controls from UK Biobank (UKB). We tested whether the number of these signatures possessed by an individual is significantly associated with increased prevalence of ME in a third disjoint cohort of DecodeME participants. We characterized a number of drug repurposing opportunities for a set of candidate core genes whose disease signatures had the strongest association with ME and which were linked to different mechanisms. We then tested gene overlap between the ME signatures identified and previous studies in long COVID, using two independent approaches to explore these shared genetic commonalities.

Results: We identified 22,411 reproducible disease signatures, comprising combinations of 7,555 unique SNPs, that are consistently associated with increased prevalence of ME in three disjoint patient cohorts. The count of reproducible signatures was significantly associated with increased prevalence of ME (p = 4×10-21), and participants with a top 10% signature count had an odds ratio of disease 1.64 times greater than participants with a bottom 10% signature count, confirming that these genetic signatures increase susceptibility for developing ME. These disease signatures map to 2,311 genes. We identified substantial overlap between the genes found by this combinatorial analysis and previous studies. We found that the 259 candidate core genes most strongly associated with ME are enriched in disease mechanisms including neurological dysregulation, inflammation, cellular stress responses and calcium signaling. We demonstrated that 76 out of 180 genes previously linked to long COVID in UKB and the US All of Us cohorts are also significantly associated with ME in the DecodeME cohort. These findings allowed identification of many existing and novel repurposing opportunities, including candidates linked to several genes with shared etiology for long COVID.

Conclusion: These findings provide further evidence that ME is a complex multisystemic condition where the risk of developing the disease has a very clear genetic and biological basis. They give a substantially deeper level of insight into the genetic risk factors and mechanisms involved in ME. The discovery of so many multiply reproducible genetic associations implies that ME is highly polygenic, which has important consequences for its future study and the delivery of clinical care to patients. The striking overlap in genes and mechanisms between long COVID and ME (76 / 180 long COVID genes tested) suggests the potential for development of novel or repurposed drug therapies that could be used to successfully treat either condition. However, although they share significant genetic commonalities, long COVID and ME appear to be best considered as partially overlapping but different diseases.

Source: Lu J, Sun W, Li S, Qu Y, Liu T, Guo S, Feng C, Yang T. Assessment of symptoms in myalgic encephalomyelitis/chronic fatigue syndrome: a comparative study of existing scales. Front Neurol. 2025 Nov 18;16:1618272. doi: 10.3389/fneur.2025.1618272. PMCID: PMC12668935. https://pmc.ncbi.nlm.nih.gov/articles/PMC12668935/ (Full text available as PDF file)

Differential Characteristics and Comparison Between Long-COVID Syndrome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)

Abstract:

Long-COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome are disabling diseases characterised by ongoing fatigue, post-exertional malaise, cognitive impairment, and autonomic dysfunction. Myalgic Encephalomyelitis/Chronic Fatigue Syndrome typically follows viral infections, whereas Long-COVID exclusively follows SARS-CoV-2 infection, with overlapping but distinct features. This review uses comprehensive searches of online databases to compare their clinical presentations, pathophysiologies, and treatments.

Both Long-COVID and ME/CFS appear to involve multifactorial mechanisms, including viral persistence, immune dysregulation, endothelial dysfunction, and autoimmunity, though their relative contributions remain uncertain. Symptom management strategies are consistent, however. Cognitive behaviour therapy has been successful, and there are minimal drug treatments. Graded exercise therapy occupies a contested place, recommending individualised pacing and multidisciplinary rehabilitation.

Common and exclusive mechanisms must be identified to formulate valuable therapies. A more significant body of research focusing on immune dysfunction as a pathogenic mechanism for advancing the disease and enabling more effective therapies and diagnostics is needed.

Source: Ivanovska M, Homadi MS, Angelova G, Taskov H, Murdjeva M. Differential Characteristics and Comparison Between Long-COVID Syndrome and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). Biomedicines. 2025 Nov 17;13(11):2797. doi: 10.3390/biomedicines13112797. PMID: 41301889; PMCID: PMC12650534. https://pmc.ncbi.nlm.nih.gov/articles/PMC12650534/ (Full text)

Urinary Peptidomic Profiling In Post-Acute Sequelae of SARS-CoV-2 Infection: A Case-Control Study

Abstract:

Post-acute sequelae of severe acute respiratory syndrome coronavirus 2-infection (PASC) is challenging to diagnose and treat, and its molecular pathophysiology remains unclear. Urinary peptidomics can provide valuable information on urine peptides that may enable improved and specified PASC diagnosis.
Using standardized capillary electrophoresis-MS, we examined the urinary peptidomes of 50 patients with PASC 10 months after COVID-19 and 50 controls, including healthy individuals (n = 42) and patients with non-COVID-19-associated myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) (n = 8).Based on peptide abundance differences between cases and controls, we developed a diagnostic model using a support vector machine. The abundance of 195 urine peptides among PASC patients significantly differed from that in controls, with a predominant abundance of collagen alpha chains. This molecular signature (PASC195) effectively distinguished PASC cases from controls in the training set (AUC of 0.949 [95% CI 0.900–0.998; p < 0.0001]) and independent validation set (AUC of 0.962 [95% CI 0.897–1.00]; p < 0.0001]). In silico assessment suggested exercise, GLP-1RAs and mineralocorticoid receptor antagonists (MRAs) as potentially efficacious interventions. We present a novel and non-invasive diagnostic model for PASC. Reflecting its molecular pathophysiology, PASC195 has the potential to advance diagnostics and inform therapeutic interventions.

Statement of Significance of the Study

Despite the recent emergence of omics-derived candidates for post-acute sequelae of SARS-CoV-2 infection (PASC), the pending validation of proposed markers and lack of consensus result in the continuous reliance on symptom-based criteria, being subject to diagnostic uncertainties and potential recall bias. Building upon prior findings of renal involvement in acute COVID-19 pathophysiology and PASC-associated alterations, we hypothesized that the use of urinary peptides for PASC-specific biomarker discovery, unlike conventional specimens that have been utilized thus far, may offer complementary information on putative disease mechanisms.

In the present study, 195 significantly expressed peptides were used to form a classifier termed PASC195, which effectively discriminated PASC from non-PASC (p < 0.0001), including healthy individuals and non-COVID-19-associated myalgic encephalomyelitis/chronic fatigue syndrome, in both the derivation (n = 60) and an independent validation set (n = 40). The peptidome profile associated with PASC was consistent with a shift in collagen turnover, with most PASC195 peptides derived from alpha chains. Ongoing inflammatory responses, hemostatic imbalances, and endothelial damage were indicated by cross-sectional variations in endogenous peptide excretion.

Source: Gülmez D, Siwy J, Kurz K, Wendt R, Banasik M, Peters B, Dudoignon E, Depret F, Salgueira M, Nowacki E, Kurnikowski A, Mussnig S, Krenn S, Gonos S, Löffler-Ragg J, Weiss G, Mischak H, Hecking M, Schernhammer E, Beige J; UriCoV Working Group. Urinary Peptidomic Profiling In Post-Acute Sequelae of SARS-CoV-2 Infection: A Case-Control Study. Proteomics. 2025 Nov 21:e70074. doi: 10.1002/pmic.70074. Epub ahead of print. PMID: 41273049. https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/10.1002/pmic.70074 (Full text)

A Comparative Study of the Coagulation Systems and Inflammatory Profiles of Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Patients with Long COVID

Abstract:

Myalgic Encephalomyelitis/Chronic Fatigue Syndrome is a chronic condition that severely debilitates patients, yet it remains largely unfamiliar to many. Faced with scepticism as a real clinical entity for decades, the recognition of ME/CFS has improved with the emergence of Long COVID. This chronic illness manifests after an acute COVID-19 infection. With two-thirds of ME/CFS cases reported to be post-viral, a clear overlap emerges with Long COVID, as both conditions arise following an infectious illness.
The parallels between post-infectious ME/CFS and Long COVID are striking, with similarities in both symptomology and pathophysiology. One overlapping mechanism in both conditions, systemic inflammation, may be perpetuated by pathogen persistence or reactivation. While inflammation alone may not be accountable for the symptoms experienced in both conditions, it can lead to disruption in other physiological mechanisms. Owing to a bi-directional link with inflammation, coagulopathy and vascular changes may be exhibited in ME/CFS and Long COVID. Given the accessibility of blood samples, it is imperative to explore these mechanisms to uncover potential biomarkers for these conditions, both of which currently lack standardised diagnostic biomarkers.
A total of 83 participants were included in the study. The control group consisted of 19 healthy controls and 10 inflammatory controls (individuals with known inflammatory conditions), used to assess inflammation in a step-increase manner. The post-infectious group included 54 individuals, subdivided into 20 ME/CFS patients and 34 Long COVID patients. Statistical analyses were performed using GraphPad Prism 10 and R-Studio, with comparisons made using parametric or non-parametric tests, depending on data distribution. Significant results were considered at P<0.05. Multiple regression analyses were conducted to control for the effects of age and sex on the outcomes.
The techniques utilised in this dissertation focused on Virchow’s triad, a model explaining that hypercoagulability, stasis, and endothelial damage contribute to the aetiology and risk of thrombosis, particularly deep vein thrombosis. Framing the dissertation around this model offered a valuable framework to investigate potential pathological mechanisms and identify relevant biomarkers for these conditions. Common viscoelastic point-of-care devices, including TEG and ClotPro, were employed to examine the hypercoagulability component of Virchow’s triad.
These techniques demonstrated how standard laboratory tests are inefficient in revealing pathological alterations in Long COVID and ME/CFS, and how the insignificance of these results has prompted researchers and healthcare professionals to question the validity of these conditions. Despite this, newly developed fluorescent microscopy techniques revealed an increased presence of plasma structures resistant to fibrinolysis in the post-infectious groups, providing evidence of coagulopathy. This technique effectively distinguished the two conditions, with the Long COVID group showing a 2.75-fold increase in these plasma structures compared to the ME/CFS group. Additionally, the post-infectious groups displayed a marked presence of hyperactivated platelets and megakaryocytes in circulation, with platelet activation and aggregation being 1.35-fold higher in the Long COVID group compared to the ME/CFS group.
However, such microscopy techniques are low-throughput and labour-intensive, making them less practical for diagnostic purposes. An innovative high-throughput diagnostic technique known as real-time deformability cytometry was employed to investigate the second component of Virchow’s triad: alterations in blood rheology.
When isolating anomalous events and large clots in whole blood using the combined filter technique, the Long COVID group showed a 1.30-fold decrease in deformation compared to the ME/CFS group, indicating greater rigidity of these structures. Additionally, the ME/CFS group had a 1.31-fold decrease in the volume of these clots compared to the Long COVID group. Although significant differences were observed in both conditions and likely impact blood rheology, this technique requires further standardisation due to its novelty.
Lastly, endothelial biomarkers previously studied in other inflammatory diseases were investigated to better understand the extent of endothelial damage, the final aspect of Virchow’s triad. The flow luminescence immunoassay revealed a 1.29-fold reduction in cadherin-5 levels in the ME/CFS group compared to healthy controls. No significant differences were found in other endothelial biomarkers between the post-infectious groups, suggesting these biomarkers cannot be repurposed for these conditions.
Furthermore, the lack of replicability in endothelial analyte concentrations among different studies raises concerns about the reproducibility of this technique. When the findings of this dissertation are considered collectively through biomarker stratification, it becomes clear that distinct subgroups may exist within the studied populations. This highlights the importance of a multiparameter approach for diagnosis, although these novel investigations require further validation and should be replicated with larger sample sizes.
Through an examination of these mechanisms, this dissertation illustrated some commonalities between these diseases and demonstrated how Virchow’s triad may be implicated to some extent in both conditions. However, key differences were also identified between the conditions, highlighting the unique challenges each presents. As we investigate whether Long COVID signals the early onset of ME/CFS and consider whether insights gained from decades of combating ME/CFS can enlighten our understanding of Long COVID, we progress toward a deeper understanding of post-infectious conditions and the creative solutions required to address them.
Source: Arron, H. E. 2025. A Comparative Study of the Coagulation Systems and Inflammatory Profiles of Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Patients with Long COVID. Unpublished doctoral thesis. Stellenbosch: Stellenbosch University [online]. Available: https://scholar.sun.ac.za/items/1a98fb4e-a91f-497b-892e-716a25ee5358

Post-Exertional Symptom Exacerbation after Sub-Maximal Exercise in Individuals with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Post-Acute Sequelae of COVID-19

Abstract:

Purpose: In individuals with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-acute sequelae of SARS-CoV-2 infection (PASC), physical activity can exacerbate symptoms for days-to-weeks, referred to as post-exertional symptom exacerbation (PESE). This study characterized the trajectory of PESE symptoms before and for 7 days after a sub-maximal exercise task in individuals with ME/CFS or PASC.

Methods: Individuals with ME/CFS (n=30) or PASC (n=30) and matched controls (n=30) were recruited from a university hospital and the community setting. Participants completed a 25-minute moderate intensity exercise on a whole-body cycle ergometer. The trajectory of 8 commonly reported PESE symptoms (physical fatigue, mental fatigue, pain, physical function, flu-like symptoms, gastrointestinal symptoms, sleep dysfunction, anxiety) before and for 7 days after exercise.

Results: There was variability in the proportion of those who experienced increased symptoms ranging from 46/60 reporting physical fatigue to only 18/30 reporting anxiety. There was no change in any of the symptoms across the 7-day period when analyzed individually. An aggregate score of 4-5 symptoms that includes physical fatigue, mental fatigue, physical function and flu-like symptoms, with or without pain, was more comprehensive in capturing maximal changes in PESE. Changes were greatest during the 72h post-exercise and for those with ME/CFS. The aggregate score shows 8/30 of individuals with ME/CFS and 12/30 with PASC show minimal-to-no increase in PESE, while 6-7/30 show increases greater than 3/10 points.

Conclusions: PESE to a clinically relevant exercise task is variable in individuals with ME/CFS and PASC as submaximal exercise does not exacerbate symptoms for some, while modifications of intensity may be necessary to minimize PESE in others.

Source: Berardi G, Janowski A, McNally S, Post A, Garg A, Sluka KA. Post-Exertional Symptom Exacerbation after Sub-Maximal Exercise in Individuals with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Post-Acute Sequelae of COVID-19. Med Sci Sports Exerc. 2025 Nov 4. doi: 10.1249/MSS.0000000000003891. Epub ahead of print. PMID: 41185151. https://pubmed.ncbi.nlm.nih.gov/41185151/

Autonomic phenotyping, brain blood flow control, and cognitive-motor-integration in Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome: A pilot study

Abstract:

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and the prolonged sequelae after COVID-19 (>3 months; Long COVID) have similar symptomology, are both associated with autonomic dysfunction, and a growing proportion of Long COVID patients are developing ME/CFS. We aimed to determine an autonomic phenotype of patients with ME/CFS vs Long COVID. We hypothesized that the groups would differ from controls yet be similar to one another.

We recruited sedentary controls (n = 10), mild/moderate ME/CFS patients (n = 12), and Long COVID patients (n = 9) to undergo 1) breathing 5 % CO2, 2) breathing 10 % O2, and 3) 5-minutes of 70° head-up tilt. Respiratory, hemodynamic, and cerebrovascular variables were measured throughout the 3 trials. Resting vascular function and cognitive-motor-integration were also assessed. ME/CFS and Long COVID were similar to the healthy controls and each other with regard to resting vascular function and the hemodynamic responses to hypoxia, hypercapnia, and head-up tilt (p > 0.05). However, in ME/CFS we observed a greater reduction of cerebrovascular resistance (p = 0.041) and impaired autoregulation (p = 0.042) during hypercapnia alongside impaired cognitive-motor integration (p < 0.02), and in Long COVID we observed reduced peripheral and end-tidal oxygen (p < 0.04) and less vagal withdrawal during tilt (p = 0.028).

Our findings suggest unique phenotypes when comparing ME/CFS and Long COVID whereby we have shown that Long COVID patients experience hypoxia while upright contributing to less vagal withdrawal, and ME/CFS patients experience impaired cerebrovascular control during potentially leading to reduced cognitive-motor integration. These differences could stem from disease severity/duration or some unique aspect of the COVID-19 virus.

Source: Badhwar S, Pereira TJ, Kerr K, Bray R, Tabassum F, Sergio L, Edgell H. Autonomic phenotyping, brain blood flow control, and cognitive-motor-integration in Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome: A pilot study. Auton Neurosci. 2025 Oct 14;262:103358. doi: 10.1016/j.autneu.2025.103358. Epub ahead of print. PMID: 41138391. https://www.autonomicneuroscience.com/article/S1566-0702(25)00120-1/fulltext (Full text)

Exploratory study on autoantibodies to arginine-rich human peptides mimicking Epstein-Barr virus in women with post-COVID and myalgic encephalomyelitis/chronic fatigue syndrom

Abstract:

Introduction: Epstein-Barr virus (EBV) infection is a well-established trigger and risk factor for both myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and post-COVID syndrome (PCS). In previous studies, we identified elevated IgG responses to arginine-rich (poly-R) sequences within the EBV nuclear antigens EBNA4 and EBNA6 in post-infectious ME/CFS (piME/CFS). Building on these findings, this exploratory study examines IgG reactivity to poly-R-containing EBV-derived peptides and homologous human peptides in women with PCS and ME/CFS.

Methods: IgG reactivity to poly-R containing peptides derived from EBNA4 and EBNA6, and homologous human 15-mer peptides and the corresponding full-length proteins, was assessed using a cytometric bead array (CBA) and a multiplex dot-blot assay. Serum samples were analyzed from 45 female PCS patients diagnosed according to WHO criteria, including 26 who also met the Canadian Consensus criteria for ME/CFS (pcME/CFS), 36 female patients with non-COVID post-infectious ME/CFS (piME/CFS), and 34 female healthy controls (HC).

Results: Autoantibodies targeting poly-R peptide sequences of the neuronal antigen SRRM3, the ion channel SLC24A3, TGF-β signaling regulator TSPLY2, and the angiogenesis-related protein TSPYL5, as well as full-length α-adrenergic receptor (ADRA) proteins, were more frequently detected in patient groups. Several of these autoantibodies showed positive correlations with core symptoms, including autonomic dysfunction, fatigue, cognitive impairment, and pain.

Conclusion: This exploratory study identify autoantibodies directed against EBV mimicking arginine-rich sequences in human proteins, suggesting a potential role for molecular mimicry in the pathogenesis of PCS and ME/CFS.

Source: Hoheisel Friederike , Fleischer Kathrin Maria , Rubarth Kerstin , Sepúlveda Nuno , Bauer Sandra , Konietschke Frank , Kedor Peters Claudia , Stein Annika Elisa , Wittke Kirsten , Seifert Martina , Bellmann-Strobl Judith , Mautner Josef , Behrends Uta , Scheibenbogen Carmen , Sotzny Franziska. Exploratory study on autoantibodies to arginine-rich human peptides mimicking Epstein-Barr virus in women with post-COVID and myalgic encephalomyelitis/chronic fatigue syndrome. Frontiers in Immunology, Volume 16 – 2025. DOI=10.3389/fimmu.2025.1650948 ISSN=1664-3224 https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2025.1650948/full (Full text)

Gulf War Illness, Fibromyalgia, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Overlap in Common Symptoms and Underlying Biological Mechanisms: Implications for Future Therapeutic Strategies

Abstract:

Although Gulf War Illness (GWI), fibromyalgia (FM), myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID have distinct origins, in this article we have reviewed evidence that these disorders comprise a group of so-called low-energy associated disorders with overlapping common symptoms underlying pathology.

In particular, evidence for mitochondrial dysfunction, oxidative stress, inflammation, immune dysregulation, neuroendocrine dysfunction, disrupted brain-gut-microbiome axis, apoptosis/ferroptosis and telomere shortening as common features in the pathogenesis of these disorders has been identified.

Given the role of coenzyme Q10 (CoQ10) in promoting normal mitochondrial function, as an antioxidant, antiinflammatory and antiapoptotic and antiferroptotic agent, there is a rationale for supplementary CoQ10 in the management of these disorders. The reported benefits of supplementary CoQ10 administration in GWI, FM, ME/CFS and long COVID have been reviewed; the potential benefit of supplementary CoQ10 in reducing telomere shortening and improving the efficiency of stem cell transfer relevant has also been identified as promising therapeutic strategies in these disorders.

This review advances beyond previous systematic reviews and consensus statements on overlapping similar symptoms and underlying biological pathomechanisms in these complex disorders.

Source: Mantle D, Domingo JC, Golomb BA, Castro-Marrero J. Gulf War Illness, Fibromyalgia, Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Overlap in Common Symptoms and Underlying Biological Mechanisms: Implications for Future Therapeutic Strategies. Int J Mol Sci. 2025 Sep 17;26(18):9044. doi: 10.3390/ijms26189044. PMID: 41009608. https://www.mdpi.com/1422-0067/26/18/9044 (Full text)