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Tag: 2023

Exploring the Genetic Contribution to Oxidative Stress in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Abstract:

OBJECTIVES/GOALS: Strong evidence has implicated oxidative stress (OS) as a disease mechanism in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The study aim was to assess whether a C>T single nucleotide polymorphism (SNP) (rs1800668), which reduces the activity of glutathione peroxidase 1 (GPX1), is associated with brain OS in patients with ME/CFS.

METHODS/STUDY POPULATION: Study population: The study enrolled 20 patients with ME/CFS diagnosed according to Canadian Consensus Criteria, and 11 healthy control (HC) subjects. Genotyping: DNA was extracted from whole blood samples, amplified by PCR, and purified. Sanger sequencing was used for genotyping. 1H MRS: Proton magnetic resonance spectroscopy (1H MRS) was used to measure levels of glutathione (GSH) a primary tissue antioxidant and OS marker in a 3x3x2 cm3 occipital cortex (OCC) voxel. GSH spectra were recorded in 15 minutes with the standard J-editing technique. The resulting GSH peak area was normalized to tissue water level in the voxel. Statistical Analysis: T-tests were used to compare OCC GSH levels between ME/CFS and HC groups, and between the study’s genotype groups (group 1: CC, group 2: combined TC and TT).

RESULTS/ANTICIPATED RESULTS: Clinical characteristics: ME/CFS and HC groups were comparable on age and BMI but not on sex (p = 0.038). Genotype frequencies: Genotype frequencies in the ME/CFS group were 0.55 (CC), 0.25 (TC) and 0.2 (TT); and 0.636 (CC), 0.364 (TC), and 0 (TT) in the HC group. GSH levels: There was a trend-level lower mean OCC GSH in ME/CFS than in HC (0.0015 vs 0.0017; p = 0.076). GSH levels by genotype group interaction: Within the ME/CFS group but not in the combined ME/CFS and HC group or HC group alone, GSH levels were lower in the TC and TT genotypes than in CC genotypes (0.00143 vs 0.00164; p = 0.018).

DISCUSSION/SIGNIFICANCE: This study found that the presence of a C>T SNP in GPX1 is associated with lower mean GSH levels and, hence, brain oxidative stress, in ME/CFS patients. If validated in a larger cohort, this finding may support targeted antioxidant therapy based on their genotype as a potentially effective treatment for patients with ME/CFS.

Source: Hampilos, N., Germain, A., Mao, X., Hanson, M., & Shungu, D. (2023). 474 Exploring the Genetic Contribution to Oxidative Stress in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome. Journal of Clinical and Translational Science, 7(S1), 137-138. doi:10.1017/cts.2023.488. DOI: https://doi.org/10.1017/cts.2023.488

Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study

Abstract:

Background: There are a growing number of case reports of various autoimmune diseases occurring after COVID-19, yet there is no large-scale population-based evidence to support this potential association. This study provides a closer insight into the association between COVID-19 and autoimmune diseases and reveals discrepancies across sex, age, and race of participants.

Methods: This is a retrospective cohort study based on the TriNetX U.S. Collaborative Network. In the test-negative design, cases were participants with positive polymerase chain reaction (PCR) test results for SARS-CoV-2, while controls were participants who tested negative and were not diagnosed with COVID-19 throughout the follow-up period. Patients with COVID-19 and controls were propensity score-matched (1: 1) for age, sex, race, adverse socioeconomic status, lifestyle-related variables, and comorbidities. The primary endpoint is the incidence of newly recorded autoimmune diseases. Adjusted hazard ratios (aHRs) and 95% confident intervals (CIs) of autoimmune diseases were calculated between propensity score-matched groups with the use of Cox proportional-hazards regression models.

Findings: Between January 1st, 2020 and December 31st, 2021, 3,814,479 participants were included in the study (888,463 cases and 2,926,016 controls). After matching, the COVID-19 cohort exhibited significantly higher risks of rheumatoid arthritis (aHR:2.98, 95% CI:2.78-3.20), ankylosing spondylitis (aHR:3.21, 95% CI:2.50-4.13), systemic lupus erythematosus (aHR:2.99, 95% CI:2.68-3.34), dermatopolymyositis (aHR:1.96, 95% CI:1.47-2.61), systemic sclerosis (aHR:2.58, 95% CI:2.02-3.28), Sjögren’s syndrome (aHR:2.62, 95% CI:2.29-3.00), mixed connective tissue disease (aHR:3.14, 95% CI:2.26-4.36), Behçet’s disease (aHR:2.32, 95% CI:1.38-3.89), polymyalgia rheumatica (aHR:2.90, 95% CI:2.36-3.57), vasculitis (aHR:1.96, 95% CI:1.74-2.20), psoriasis (aHR:2.91, 95% CI:2.67-3.17), inflammatory bowel disease (aHR:1.78, 95%CI:1.72-1.84), celiac disease (aHR:2.68, 95% CI:2.51-2.85), type 1 diabetes mellitus (aHR:2.68, 95%CI:2.51-2.85) and mortality (aHR:1.20, 95% CI:1.16-1.24).

Interpretation: COVID-19 is associated with a different degree of risk for various autoimmune diseases. Given the large sample size and relatively modest effects these findings should be replicated in an independent dataset. Further research is needed to better understand the underlying mechanisms.

Source: Chang R, Yen-Ting Chen T, Wang SI, Hung YM, Chen HY, Wei CJ. Risk of autoimmune diseases in patients with COVID-19: A retrospective cohort study. EClinicalMedicine. 2023 Feb;56:101783. doi: 10.1016/j.eclinm.2022.101783. Epub 2023 Jan 10. PMID: 36643619; PMCID: PMC9830133. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9830133/ (Full text)

High risk of autoimmune diseases after COVID-19

The full picture of post-COVID-19 autoimmune diseases and their prevalence is lacking despite numerous case reports and small series. Two studies that use large cohorts now highlight that SARS-CoV-2 infection is linked to a substantially increased risk of developing a diverse spectrum of new-onset autoimmune diseases.

Refers to: Chang, R. et al. Risk of autoimmune diseases in patients with COVID-19: a retrospective cohort study. eClinicalMedicine 56, 101783 (2023).

The triggering of autoimmune conditions by viral infections has been of interest to the scientific community for decades. The COVID-19 pandemic provides a unique opportunity to understand this link and the underlying pathogenesis. SARS-CoV-2 infection leads to a spectrum of symptoms in the host, with respiratory symptoms dominating the clinical picture. SARS-CoV-2 was originally thought to mostly cause respiratory illness, with comparisons being made to common influenza.

However, in a steep learning curve, the spectrum of SARS-CoV-2 infection was observed to range from self-limiting mild infection to critical respiratory distress, with symptoms including fever, cough, myalgia, fatigue and dyspnea1. Severe COVID-19 cases have demonstrated a substantial inflammatory response with pro-inflammatory cytokines and chemokines that stimulate pulmonary inflammation1.

As the burden of COVID-19 cases increases worldwide, so does our understanding of the condition. Owing to worldwide vaccination efforts, mortality due to COVID-19 has been decreasing, but we continue to witness considerable morbidity and increased rates of post-COVID-19 conditions and in particular, new-onset autoimmune and inflammatory diseases in individuals who have had COVID-19. The range and incidence of these post-COVID-19 disorders have now been highlighted in two large retrospective cohort studies2,3.

Source: Sharma, C., Bayry, J. High risk of autoimmune diseases after COVID-19. Nat Rev Rheumatol (2023). https://doi.org/10.1038/s41584-023-00964-y (Full text)

How do German General Practitioners Manage Long-/Post-COVID? A Qualitative Study in Primary Care

Abstract:

Background: Many patients with ongoing complaints after a SARS-CoV-2 infection are treated in primary care. Existing medical guidelines on how to diagnose and treat Long-/Post-COVID are far from being comprehensive. This study aims to describe how German general practitioners (GPs) deal with this situation, what problems they experience when managing such patients, and how they solve problems associated with the diagnosis and treatment of Long-/Post-COVID.
Methods and Findings: We conducted a qualitative study and interviewed 11 GPs. The most commonly described symptoms were ongoing fatigue, dyspnea, chest tightness and a decrease in physical capacity. The most common way to identify Long-/Post-COVID was by exclusion. Patients suffering from Long-/Post-COVID were generally treated by their GPs and rarely referred. A very common non-pharmacological intervention was to take a wait-and-see approach and grant sick leave. Other non-pharmacological interventions included lifestyle advices, physical exercise, acupuncture and exercises with intense aromas. Pharmacological treatments focused on symptoms, like respiratory symptoms or headaches. Our study’s main limitations are the small sample size and therefore limited generalizability of results.
Conclusions: Further research is required to develop and test pharmaceutical and non-pharmaceutical interventions for patients with Long-/Post-COVID. In addition, strategies to prevent the occurrence of Long-/Post-COVID after an acute infection with SARS-CoV-2 have to be developed. The routine collection of data on the diagnosis and management of Long-/Post-COVID may help in the formulation of best practices. It is up to policymakers to facilitate the necessary implementation of effective interventions in order to limit the huge societal consequences of large groups of patients suffering from Long-/Post-COVID.
Source: Bachmeier BE, Hölzle S, Gasser M, van den Akker M. How do German General Practitioners Manage Long-/Post-COVID? A Qualitative Study in Primary Care. Viruses. 2023; 15(4):1016. https://doi.org/10.3390/v15041016 https://www.mdpi.com/1999-4915/15/4/1016 (Full text)

Changes in the State of Vital Systems with Long COVID-19

Abstract:

Long COVID-19 is a chronic disease that continues to be studied. Data on epidemiology and the main symptoms typical for long COVID-19 are presented. Issues related to the pathogenesis of the disease are discussed. At the same time, special attention is paid to the inflammation process (including of the vascular wall endothelium), the state of the immune system (cytokine storm), the hemostasis system (the mechanism for the development of microangiopathy and thrombosis), and oxidative stress. During the analysis, a special place is given to central nervous system disorders (including organic brain damage) and disorders of cognitive functions. In addition, currently known complications from the cardiovascular system and respiratory organs are described. The treatment and rehabilitation of patients with long COVID-19 is not only a medical, but also a significant social problem.

Source: Kuznik, B.I., Shapovalov, K.G. & Chalisova, N.I. Changes in the State of Vital Systems with Long COVID-19. Biol Bull Rev 13, 112–123 (2023). https://doi.org/10.1134/S2079086423020044 (Full text)

A Review of Neurological Symptoms in Long COVID and Clinical Management

Abstract:

Long COVID is a clinical diagnosis generally referring to the persistence or development of new symptoms, affecting multiple organ systems after SARS-CoV-2 COVID-19 infection. Long COVID is thought to affect ∼20% of people after infection, including all age ranges and severity of infection. Fatigue, postexertional malaise, and respiratory and cardiac symptoms are commonly described. Neurological symptoms such as cognitive changes, sensory disturbances, headaches, and dysautonomia are common as well. The underlying pathophysiology remains unclear but immune dysregulation, autoimmunity, persistent viral reservoirs, and microvascular dysfunction have been implicated. As there are no tests at this time to diagnose long COVID, work-up should be focused on assessing reversible or treatable causes of symptoms. Furthermore, no treatments for long COVID currently exist, and management remains focused on a multimodal approach and symptom management, with many people showing improvement in symptoms over time.

Source: Navis A. A Review of Neurological Symptoms in Long COVID and Clinical Management. Semin Neurol. 2023 Apr 17. doi: 10.1055/s-0043-1767781. Epub ahead of print. PMID: 37068519. https://pubmed.ncbi.nlm.nih.gov/37068519/

Lung diffusing capacities for nitric oxide and carbon monoxide at rest and post-walking in long COVID

Abstract:

Background: Approximately one-third of long coronavirus disease 2019 (long COVID) patients report breathlessness and fatigue even during activities of daily living. We hypothesised that abnormalities of combined diffusing capacity of the lung for nitric oxide (D LNO) and carbon monoxide (D LCO) at rest or after mild exercise are associated with breathlessness in patients with long COVID.

Methods: Single-breath combined D LNO and D LCO were measured at rest and immediately after a short bout of treadmill exercise simulating ordinary walking in 32 Caucasian patients with long COVID and dyspnoea at rest. 20 subjects served as a control group.

Results: At rest, combined D LNO, D LCO and alveolar volume (V A) were significantly lower in long COVID than in controls, with D LNO and D LCO being below the limits of normal in 69% and 41% of cases, respectively. Mean values of D LNO/V A and D LCO/V A in long COVID patients were less than controls, yet, in only 22% and 12% of long COVID patients were the values of D LNO/V A and D LCO/V A below the limits of normal. After treadmill exercise, D LNO, D LNO/D LCO, V A and heart rate increased significantly without differences between groups. D LNO remained below the limit of normal in 47% of long COVID patients.

Conclusion: These data suggest localised discrete loss of lung units in approximately half of long COVID patients, not completely explained by loss of V A or of alveolar-capillary recruitment during exercise.

Source: Barisione G, Brusasco V. Lung diffusing capacities for nitric oxide and carbon monoxide at rest and post-walking in long COVID. ERJ Open Res. 2023 Apr 17;9(2):00363-2022. doi: 10.1183/23120541.00363-2022. PMID: 37070120; PMCID: PMC9638122. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638122/ (Full text)

Chronic Disease Self-Management of Post-Acute Sequelae of COVID-19 Among Older Adults: A Mixed-Methods Analysis

Abstract:

Introduction: Approximately 20-30% of individuals who contract acute coronavirus disease (COVID-19) infection develop longer term complications of their initial infection, referred to as Post-Acute Sequelae of SARS-CoV-2 infection (PASC). PASC is characterized by chronic, varying symptomatology.

Methods: Using a mixed methods study design, we aimed to gain insight into individuals’ experience with PASC, including cognitive issues, fatigue, and sleep disturbances. We explored whether our previously developed application (app), aimed at improving self-management skills among individuals with chronic diseases, is relevant for individuals with PASC and gained information to adapt the app for individuals with PASC. The study included 19 individuals, aged 40 years and older, recruited from our research participant database, Nova Southeastern University clinics, and community locations. We included this age range because older adults are more likely to have comorbid conditions, allowing us to better understand the impact of COVID-19 infection in these individuals. Participants completed seven standardized self-report questionnaires online, and an individual semi-structured interview via videoconferencing. Quantitative data were assessed using descriptive statistics and calculating individuals’ scores in relation to norms. Qualitative data were analyzed using a thematic analysis approach. Triangulation of the data was accomplished by calculating correlations between participants’ responses on self-report scales and themes found in semi-structured interviews.

Results: Themes included disruption of everyday life, diverse physical symptoms, and cognitive problems including brain fog, fatigue, coping, and emotional upset. Quantitative analysis demonstrated that participants experienced high levels of fatigue, negative mood, cognitive problems, and overall reduction in health-related quality of life (HRQOL). Correlation analyses revealed that individual interview responses were related to participants’ self-report of symptoms on standard questionnaires.

Discussion: Findings indicate that self-report questionnaires may reflect the experience of individuals with PASC and its impact. Additionally, further efforts to expand our prior mobile app are warranted among individuals with PASC.

Source: Thomas-Purcell K, Davenport R, Ayala V, Purcell D, Ownby RL. Chronic Disease Self-Management of Post-Acute Sequelae of COVID-19 Among Older Adults: A Mixed-Methods Analysis. Clin Interv Aging. 2023 Apr 14;18:607-617. doi: 10.2147/CIA.S393732. PMID: 37082741; PMCID: PMC10112475. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112475/

Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study

Abstract:

Background: Adults and children can develop post-Covid-19 condition (PCC) (also referred to as Long Covid). However, existing evidence is scarce, partly due to a lack of a standardised case definition, short follow up duration, and heterogenous study designs, resulting in wide variation of reported outcomes. The primary aim of this study was to characterise risk factors for PCC and longitudinal rates of recovery in a cohort of children and young people using a standardised protocol.

Methods: We performed a prospective “disease-based” cohort study between 01/02/2020 to 31/10/2022 including children aged 0-18 years old, with a previous diagnosis of Covid-19. Children with microbiologically confirmed SARS-CoV-2 infection, were invited for an in-clinic follow-up assessment at a paediatric post-covid clinic in Rome, Italy, at serial intervals (3-, 6-, 12- and 18-months post-onset). PCC was defined as persistence of otherwise unexplained symptoms for at least three months after initial infection. The statistical association between categorical variables was obtained by Chi-squared tests or Fisher’s exact tests. Multivariable logistic regressions are presented using odds ratios (OR) and 95% confidence interval (CI). Survival analysis was conducted using the Kaplan-Meier method.

Findings: 1243 children were included, median age: 7.5 (4-10.3) years old; 575 (46.3%) were females. Of these, 23% (294/1243) were diagnosed with PCC at three months post-onset. Among the study population, 143 patients remained symptomatic at six months, 38 at 12 months, and 15 at 18 months follow up evaluation. The following risk factors were associated with PCC: >10 years of age (OR 1.23; 95% CI 1.18-1.28), comorbidities (OR 1.68; 95% CI 1.14-2.50), and hospitalisation during the acute phase (OR 4.80; 95%CI 1.91-12.1). Using multivariable logistic regression, compared to the Omicron variant, all other variants were significantly associated with PCC at 3 and 6 months. At least one dose of vaccine was associated with a reduced, but not statistically significant risk of developing PCC.

Interpretation: In our study, acute-phase hospitalisation, pre-existing comorbidity, being infected with pre-Omicron variants and older age were associated with a higher risk of developing PCC. Most children recovered over time, but one-in-twenty of those with PCC at three months reported persistent symptoms 18 months post-Sars-CoV-2 infection. Omicron infection was associated with shorter recovery times. We did not find a strong protective effect of vaccination on PCC development. Although our cohort cannot be translated to all Italian children with PCC as more nationwide studies are needed, our findings highlight the need of new strategies to prevent and treat pediatric PCC are needed.

Funding: This study has been funded by Pfizer non-competitive grant, granted to DB (# 65925795).

Source: Morello R, Mariani F, Mastrantoni L, De Rose C, Zampino G, Munblit D, Sigfrid L, Valentini P, Buonsenso D. Risk factors for post-COVID-19 condition (Long Covid) in children: a prospective cohort study. EClinicalMedicine. 2023 May;59:101961. doi: 10.1016/j.eclinm.2023.101961. Epub 2023 Apr 14. PMID: 37073325; PMCID: PMC10101848. https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(23)00138-4/fulltext (Full text)

Unique immune and inflammatory cytokine profiles may define long COVID syndrome

Abstract:

Purpose: Long COVID is estimated to occur in 5-10% of individuals after acute SARS-CoV-2 infection. However, the pathophysiology driving the disease process is poorly understood.

Methods: We evaluated urine and plasma inflammatory and immune cytokine profiles in 33 individuals with long COVID compared to 33 who were asymptomatic and recovered, and 34 without prior infection.

Results: Mean urinary leukotriene E4 was significantly elevated among individuals with long COVID compared to asymptomatic and recovered individuals (mean difference 774.2 pg/mL; SD 335.7) and individuals without prior SARS-CoV-2 infection (mean difference 503.1 pg/ml; SD 467.7). Plasma chemokine ligand 6 levels were elevated among individuals with long COVID compared to individuals with no prior SARS-CoV-2 infection (mean difference 0.59 units; SD 0.42). We found no significant difference in angiotensin-converting enzyme 2 antibody levels. Plasma tumor necrosis factor receptor-associated factor 2 (TRAF2) levels were reduced among individuals with long COVID compared to individuals who were asymptomatic and recovered (mean difference = 0.6 units, SD 0.46). Similarly, the mean level of Sarcoma Homology 2-B adapter protein 3 was 3.3 units (SD 1.24) among individuals with long COVID, lower than 4.2 units (SD 1.1) among individuals with recovered, asymptomatic COVID.

Conclusion: Our findings suggest that further studies should be conducted to evaluate the role of leukotriene E4 as a potential biomarker for a diagnostic test. Furthermore, based on reductions in TRAF2, long COVID may be driven in part by impaired TRAF2-dependent immune-mediated inflammation and potentially immune exhaustion.

Source: Allan-Blitz LT, Akbari O, Kojima N, Saavedra E, Chellamuthu P, Denny N, MacMullan MA, Hess V, Shacreaw M, Brobeck M, Turner F, Slepnev VI, Ibrayeva A, Klausner JD. Unique immune and inflammatory cytokine profiles may define long COVID syndrome. Clin Exp Med. 2023 Apr 16:1–6. doi: 10.1007/s10238-023-01065-6. Epub ahead of print. PMID: 37061998; PMCID: PMC10105906. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105906/ (Full text)