Abstract:
Category: Overlapping Illnesses
Post-COVID-19 Small Fiber Neuropathy as a New Emerging Quality of Life-Threatening Disease: A Systematic Review
Abstract:
Exploring DNA methylation, telomere length, mitochondrial DNA, and immune function in patients with Long-COVID
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Background: Long-COVID is defined as the persistency or development of new symptoms 3 months after the initial SARS-CoV-2 infection, with these symptoms lasting for at least 2 months with no other explanation. Common persistent symptoms are fatigue, sleep disturbances, post-exertional malaise (PEM), pain, and cognitive problems. Long-COVID is estimated to be present in about 65 million people. We aimed to explore clinical and biological factors that might contribute to Long-COVID.
Methods: Prospective longitudinal cohort study including patients infected with SARS-CoV-2 between March 2020 and March 2022. Patients were assessed between 4 and 12 months after infection at the COVID follow-up clinic at UZ Leuven. We performed a comprehensive clinical assessment (including questionnaires and the 6-min walking test) and biological measures (global DNA methylation, telomere length, mitochondrial DNA copy number, inflammatory cytokines, and serological markers such as C-reactive protein, D-dimer, troponin T).
Results: Of the 358 participants, 328 were hospitalised, of which 130 had severe symptoms requiring intensive care admission; 30 patients were ambulatory referrals. Based on their clinical presentation, we could identify 6 main clusters. One-hundred and twenty-seven patients (35.4%) belonged to at least one cluster. The bigger cluster included PEM, fatigue, sleep disturbances, and pain (n = 57). Troponin T and telomere shortening were the two main markers predicting Long-COVID and PEM-fatigue symptoms.
Conclusions: Long-COVID is not just one entity. Different clinical presentations can be identified. Cardiac involvement (as measured by troponin T levels) and telomere shortening might be a relevant risk factor for developing PEM-fatigue symptoms and deserve further exploring.
Source: Polli A, Godderis L, Martens DS, Patil MS, Hendrix J, Wyns A, Van Campenhout J, Richter E, Fanning L, Vandekerckhove O, Claeys E, Janssens W, Lorent N. Exploring DNA methylation, telomere length, mitochondrial DNA, and immune function in patients with Long-COVID. BMC Med. 2025 Feb 4;23(1):60. doi: 10.1186/s12916-025-03881-x. PMID: 39901177; PMCID: PMC11792217. https://pmc.ncbi.nlm.nih.gov/articles/PMC11792217/ (Full text)
Cerebral Blood Flow in Orthostatic Intolerance
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Cerebral blood flow (CBF) is vital for delivering oxygen and nutrients to the brain. Many forms of orthostatic intolerance (OI) involve impaired regulation of CBF in the upright posture, which results in disabling symptoms that decrease quality of life. Because CBF is not easy to measure, rises in heart rate or drops in blood pressure are used as proxies for abnormal CBF. These result in diagnoses such as postural orthostatic tachycardia syndrome and orthostatic hypotension. However, in many other OI syndromes such as myalgic encephalomyelitis/chronic fatigue syndrome and long COVID, heart rate and blood pressure are frequently normal despite significant drops in CBF. This often leads to the incorrect conclusion that there is nothing hemodynamically abnormal in these patients and thus no explanation or treatment is needed. There is a need to measure CBF, as orthostatic hypoperfusion is the shared pathophysiology for all forms of OI. In this review, we examine the literature studying CBF dysfunction in various syndromes with OI and evaluate methods of measuring CBF including transcranial Doppler ultrasound, extracranial cerebral blood flow ultrasound, near infrared spectroscopy, and wearable devices.
Source: Khan MS, Miller AJ, Ejaz A, Molinger J, Goyal P, MacLeod DB, Swavely A, Wilson E, Pergola M, Tandri H, Mills CF, Raj SR, Fudim M. Cerebral Blood Flow in Orthostatic Intolerance. J Am Heart Assoc. 2025 Feb 3:e036752. doi: 10.1161/JAHA.124.036752. Epub ahead of print. PMID: 39895557. https://www.ahajournals.org/doi/10.1161/JAHA.124.036752 (Full text)
Efficacy Of SARS–CoV-2 Specific Antiviral Therapy for Enteroviral Myalgic Encephalomyelitis/ChronicFatigue Syndrome
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104/200 (52%) of PAX-treated ME/CFS patients improved, often within 2-3 days; all relapsed within days to weeks after treatment. 66%, 33% and 44% of CVB4+, CVB3+, non-CVB3,4+ patients responded to treatment, respectively. EVP decreased and increased with clinical response and relapse.
Small fiber neuropathy in the post-COVID condition and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Clinical significance and diagnostic challenges
Abstract:
Background: Patients with post-COVID condition (PCC) and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) experience symptoms potentially associated with small fiber neuropathy (SFN).
Methods: A sample of 90 participants, comprising 30 PCC patients, 30 ME/CFS patients, and 30 healthy controls (HC), matched by sex and age, was assessed. Neuropathic, autonomic, and fatigue symptoms were measured with TaskForce Monitor, the Sudoscan, heat and cold evoked potentials, In Vivo Corneal Confocal Microscopy (IVCCM), and specialized questionaries.
Results: PCC and ME/CFS patients demonstrated significantly higher levels of autonomic symptoms (H = 39.89, p < 0.001), neuropathic symptoms (H = 48.94, p < 0.001), and fatigue (H = 49.29, p < 0.001) compared to HC. Quantitative sensory testing revealed significant differences in heat detection thresholds between PCC patients and HC (F = 4.82; p < 0.01). Regarding corneal small fiber tortuosity, there were statistically significant differences between patients and HC (F = 6.80; p < 0.01), indicating pathological responses in patients. Small fiber tortuosity in IVCCM was identified as the main discriminator between patients and HC (AUC = 0.720; p < 0.01).
Conclusion: PCC and ME/CFS patients demonstrated sensory SFN, as evidenced by impaired heat detection and increased tortuosity of small fibers in the central corneal subbasal plexus. The findings underscore the importance of a multimodal approach to comprehensively detect and characterize SFN. This study provides valuable scientific insights into the neuropathic manifestations associated with these conditions.
Source: Azcue N, Teijeira-Portas S, Tijero-Merino B, Acera M, Fernández-Valle T, Ayala U, Barrenechea M, Murueta-Goyena A, Lafuente JV, de Munain AL, Ruiz-Irastorza G, Martín-Iglesias D, Gabilondo I, Gómez-Esteban JC, Del Pino R. Small fiber neuropathy in the post-COVID condition and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Clinical significance and diagnostic challenges. Eur J Neurol. 2025 Feb;32(2):e70016. doi: 10.1111/ene.70016. PMID: 39888240. https://onlinelibrary.wiley.com/doi/10.1111/ene.70016 (Full text)
Digital health app data reveals an effect of ovarian hormones on long COVID and myalgic encephalomyelitis symptoms
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Background. Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) disproportionately affect females, suggesting modulation by sex hormones. We sought to investigate whether symptom severity is influenced by changes in sex hormones over the menstrual cycle, or by hormonal contraception.
Methods: We carried out a retrospective analysis of menstrual and symptom data, prospectively collected via the Visible app from individuals with long COVID, ME/CFS, or both, who had regular menstrual cycles, between 7 September 2022 and 6 March 2024. Mixed-effects models were used to examine associations between symptom severity, menstrual cycle phase and contraception type.
Findings: 948 users were included; 100% of users were female and 92.6% identified as women. The most tracked symptoms were fatigue (99.5% of users), brain fog (88.3%), headaches (85.1%) and muscle aches (78.6%). All menstrual cycle phases showed a modest, but significant, improvement compare to the menstrual phase, most markedly in the early luteal (IRR 0.963%, 95% CI: 0.958 – 0.968), but also the follicular (IRR = 0.985, 95% CI: 0.981 – 0.990) and late luteal phase (IRR = 0.980, 95% CI: 0.974-0.985). Crashes (sudden and severe worsening of symptoms following exertion) were significantly more frequent during menstruation than in other phases. Users of combined hormonal contraception (n=70) had a statistically significant reduction in overall symptom score (OR = 0.827, 95% CI: 0.690 – 0.992) and crash incidence (OR = 0.548, 95% CI: 0.350 – 0.856) compared to those not using hormonal contraception (=786).
Interpretation: Menstruation is associated with worsened symptoms in long COVID and ME/CFS. Users of combined hormonal contraception report a lower symptom burden than non-users, suggesting a modulatory role of ovarian hormones. These findings could empower menstruating people living with long COVID and ME/CFS to anticipate cyclical changes in symptoms and plan their activities accordingly, and could also inform their use of contraception.
Source: Abigail Goodship, Rory Preston, Joseph T Hicks, Harry Leeming, Christian Morgenstern, Victoria Male. Digital health app data reveals an effect of ovarian hormones on long COVID and myalgic encephalomyelitis symptoms. medRxiv 2025.01.24.25321092; doi: https://doi.org/10.1101/2025.01.24.25321092 https://www.medrxiv.org/content/10.1101/2025.01.24.25321092v1 (Full text available as PDF file)
Distinct pro-inflammatory/pro-angiogenetic signatures distinguish children with Long COVID from controls
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Background: Recent proteomic studies have documented that Long COVID in adults is characterized by a pro-inflammatory signature with thromboinflammation. However, if similar events happen also in children with Long COVID has never been investigated.
Methods: We performed an extensive protein analysis of blood plasma from pediatric patients younger than 19 years of age Long COVID and a control group of children with acute COVID-19, MIS-C, and healthy controls resulted similar for sex distribution and age. Children were classified as Long COVID if symptoms persisted for at least 8 weeks since the initial infection, negatively impacted daily life and could not be explained otherwise.
Results: 112 children were included in the study, including 34 children fulfilling clinical criteria of Long COVID, 32 acute SARS-CoV-2 infection, 27 MIS-C and 19 healthy controls. Compared with controls, pediatric Long COVID was characterized by higher expression of the proinflammatory and pro-angiogenetic set of chemokines CXCL11, CXCL1, CXCL5, CXCL6, CXCL8, TNFSF11, OSM, STAMBP1a. A Machine Learning model based on proteomic profile was able to identify LC with an accuracy of 0.93, specificity of 0.86 and sensitivity of 0.97.
Conclusions: Pediatric Long COVID patients have a well distinct blood protein signature marked by increased ongoing general and endothelial inflammation, similarly as happens in adults.
Impact:
- Pediatric Long COVID has a distinct blood protein signature marked by increased ongoing general and endothelial inflammation.
- This is the first study studying and documenting proinflammatory profile in blood samples of children with long COVID.
- Long COVID was characterized by higher expression of the proinflammatory and pro-angiogenetic set of chemokines CXCL11, CXCL1, CXCL5, CXCL6, CXCL8, TNFSF11, OSM, STAMBP1a.
- A proteomic profile was able to identify Long COVID with an accuracy of 0.93, specificity of 0.86 and sensitivity of 0.97.
- These findings may inform development of future diagnostic tests.
Source: Buonsenso, D., Cotugno, N., Amodio, D. et al. Distinct pro-inflammatory/pro-angiogenetic signatures distinguish children with Long COVID from controls. Pediatr Res (2025). https://doi.org/10.1038/s41390-025-03837-0 https://www.nature.com/articles/s41390-025-03837-0
Post-SARS-CoV-2 Onset Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Symptoms in Two Cohort Studies of COVID-19 Recovery
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Objective: To determine how many people with long COVID also meet diagnostic criteria for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS).
Methods: We identified which participants with long COVID also met the Institute of Medicine (IOM) or the 2003 Canadian Consensus Criteria (CCC) for ME/CFS at approximately 6-8 months post-SARS-CoV-2 infection in two cohorts: (1) the JHU COVID Recovery cohort, which enrolled participants within 4 weeks of infection and (2) the Long-term Impact of Infection with Novel Coronavirus (LIINC) cohort, which enriched for participants with long COVID. Neither study administered ME/CFS-specific surveys, so available data elements were mapped onto each ME/CFS diagnostic criteria.
Results: Of 97 JHU participants with long COVID, 5 met IOM criteria and 2 met CCC criteria. Of 281 LIINC participants with long COVID, 51 met the IOM criteria and 29 met the CCC criteria. In LIINC, participants with long COVID meeting ME/CFS criteria were more likely to be female and report a greater number of post-COVID symptoms (p<0.001).
Conclusions: The co-occurrence of ME/CFS symptoms and long COVID suggests that SARS-CoV-2 is a cause of ME/CFS. ME/CFS-specific measures should be incorporated into studies of post-acute COVID-19 to advance studies of post-SARS-CoV-2 onset ME/CFS.
Source: Jamal A, Dalhuisen T, Gallego Márquez N, Dziarski AD, Uy J, Walch SN, Thomas SA, Fehrman EA, Romero AE, Zelaya AS, Akasreku EA, Adeagbo TV, Pasetes EC, Akbas SY, Azola AM, Deeks SG, Kelly JD, Martin JN, Henrich TJ, Landay AL, Peluso MJ, Antar AAR. Post-SARS-CoV-2 Onset Myalgic Encephalomyelitis/Chronic Fatigue Syndrome Symptoms in Two Cohort Studies of COVID-19 Recovery. medRxiv [Preprint]. 2024 Nov 8:2024.11.08.24316976. doi: 10.1101/2024.11.08.24316976. PMID: 39867374; PMCID: PMC11759845. https://pmc.ncbi.nlm.nih.gov/articles/PMC11759845/
Exploring the shared mechanism of fatigue between systemic lupus erythematosus and myalgic encephalomyelitis/chronic fatigue syndrome: monocytic dysregulation and drug repurposing
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Background: SLE and ME/CFS both present significant fatigue and share immune dysregulation. The mechanisms underlying fatigue in these disorders remain unclear, and there are no standardized treatments. This study aims to explore shared mechanisms and predict potential therapeutic drugs for fatigue in SLE and ME/CFS.
Methods: Genes associated with SLE and ME/CFS were collected from disease target and clinical sample databases to identify overlapping genes. Bioinformatics analyses, including GO, KEGG, PPI network construction, and key target identification, were performed. ROC curve and correlation analysis of key targets, along with single-cell clustering, were conducted to validate their expression in different cell types. Additionally, an inflammation model was established using THP-1 cells to simulate monocyte activation in both diseases in vitro, and RT-qPCR was used to validate the expression of the key targets. A TF-mRNA-miRNA co-regulatory network was constructed, followed by drug prediction and molecular docking.
Results: Fifty-eight overlapping genes were identified, mainly involved in innate immunity and inflammation. Five key targets were identified (IL1β, CCL2, TLR2, STAT1, IFIH1). Single-cell sequencing revealed that monocytes are enriched with these targets. RT-qPCR confirmed significant upregulation of these targets in the model group. A co-regulatory network was constructed, and ten potential drugs, including suloctidil, N-Acetyl-L-cysteine, simvastatin, ACMC-20mvek, and camptothecin, were predicted. Simvastatin and camptothecin showed high affinity for the key targets.
Conclusion: SLE and ME/CFS share immune and inflammatory pathways. The identified key targets are predominantly enriched in monocytes at the single-cell level, suggesting that classical monocytes may be crucial in linking inflammation and fatigue. RT-qPCR confirmed upregulation in activated monocytes. The TF-mRNA-miRNA network provides a foundation for future research, and drug prediction suggests N-Acetyl-L-cysteine and camptothecin as potential therapies.
Source: Zheng D, Li X, Wang P, Zhu Q, Huang Z, Zhao T. Exploring the shared mechanism of fatigue between systemic lupus erythematosus and myalgic encephalomyelitis/chronic fatigue syndrome: monocytic dysregulation and drug repurposing. Front Immunol. 2025 Jan 7;15:1440922. doi: 10.3389/fimmu.2024.1440922. PMID: 39845969; PMCID: PMC11752880. https://pmc.ncbi.nlm.nih.gov/articles/PMC11752880/ (Full text)