Category: Uncategorized

The German Multicenter Registry for ME/CFS (MECFS-R)

Abstract:

Background: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating multisystemic disease characterized by a complex, incompletely understood etiology.

Methods: To facilitate future clinical and translational research, a multicenter German ME/CFS registry (MECFS-R) was established to collect comprehensive, longitudinal, clinical, epidemiological, and laboratory data from adults, adolescents, and children in a web-based multilayer-secured database.

Results: Here, we present the research protocol and first results of a pilot cohort of 174 ME/CFS patients diagnosed at two specialized tertiary fatigue centers, including 130 (74.7%) adults (mean age 38.4; SD 12.6) and 43 (25.3%) pediatric patients (mean age 15.5; SD 4.2). A viral trigger was identified in 160/174 (92.0%) cases, with SARS-CoV-2 in almost half of them. Patients exhibited severe functional and social impairment, as reflected by a median Bell Score of 30.0 (IQR 30.0 to 40.0) and a poor health-related quality of life assessed with the Short Form-36 health survey, resulting in a mean score of 40.4 (SD 20.6) for physical function and 59.1 (SD 18.8) for mental health.

Conclusions: The MECFS-R provides important clinical information on ME/CFS to research and healthcare institutions. Paired with a multicenter biobank, it facilitates research on pathogenesis, diagnostic markers, and treatment options. Trial registration: ClinicalTrials.gov NCT05778006.

Source: Hieber H, Pricoco R, Gerrer K, Heindrich C, Wiehler K, Mihatsch LL, Haegele M, Schindler D, Donath Q, Christa C, Grabbe A, Kircher A, Leone A, Mueller Y, Zietemann H, Freitag H, Sotzny F, Warlitz C, Stojanov S, Hattesohl DBR, Hausruckinger A, Mittelstrass K, Scheibenbogen C, Behrends U. The German Multicenter Registry for ME/CFS (MECFS-R). J Clin Med. 2024 May 28;13(11):3168. doi: 10.3390/jcm13113168. PMID: 38892879; PMCID: PMC11172639. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11172639/ (Full text)

Proximal immune-epithelial progenitor interactions drive chronic tissue sequelae post COVID-19

Abstract:

The long-term health effects of SARS-CoV-2, termed Post-Acute Sequelae of COVID-19 (PASC), are quickly evolving into a major public health concern, but the underlying cellular and molecular etiology remain poorly defined. There is growing evidence that PASC is linked to abnormal immune responses and/or poor organ recovery post-infection. However, the exact processes linking non-resolving inflammation, impaired tissue repair, and PASC are still unclear.

In this report, we utilized a cohort of respiratory PASC patients with viral infection-mediated pulmonary fibrosis and a clinically relevant mouse model of post-viral lung sequelae to investigate the pathophysiology of respiratory PASC. Using a combination of imaging and spatial transcriptomics, we identified dysregulated proximal interactions between immune cells and epithelial progenitors unique to respiratory PASC but not acute COVID-19 or idiopathic pulmonary fibrosis (IPF). Specifically, we found a central role for lung-resident CD8+ T cell-macrophage interactions in maintaining Krt8hi transitional and ectopic Krt5+ basal cell progenitors, and the development of fibrotic sequelae after acute viral pneumonia.

Mechanistically, CD8+ T cell derived IFN-γ and TNF stimulated lung macrophages to chronically release IL-1β, resulting in the abnormal accumulation of dysplastic epithelial progenitors in fibrotic areas. Notably, therapeutic neutralization of IFN-γ and TNF, or IL-1β after the resolution of acute infection resulted in markedly improved alveolar regeneration and restoration of pulmonary function.

Together, our findings implicate a dysregulated immune-epithelial progenitor niche in driving respiratory PASC and identify potential therapeutic targets to dampen chronic pulmonary sequelae post respiratory viral infections including SARS-CoV-2.

Source: Narasimhan H, Cheon IS, Qian W, Hu S, Parimon T, Li C, Goplen N, Wu Y, Wei X, Son YM, Fink E, Santos G, Tang J, Yao C, Muehling L, Canderan G, Kadl A, Cannon A, Pramoonjago P, Shim YM, Woodfolk J, Zang C, Chen P, Sun J. Proximal immune-epithelial progenitor interactions drive chronic tissue sequelae post COVID-19. bioRxiv [Preprint]. 2023 Sep 14:2023.09.13.557622. doi: 10.1101/2023.09.13.557622. PMID: 37745354; PMCID: PMC10515929. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515929/ (Full text)

Sonographic Diaphragm Abnormalities are an Unexpectedly Frequent Feature of Long COVID Outpatients with Unexplained Dyspnea and Fatigue

Abstract:

Purpose: The primary aim of this study is to define the sonographic diaphragm phenotype of Long COVID rehabilitation outpatients with non-specific dyspnea and fatigue. We analyzed patients referred from a pulmonary post-COVID clinic that were lacking a specific cardiopulmonary diagnosis for their symptoms. Additionally, we report the functional outcomes of subset of patients who completed an outpatient cardiopulmonary physical therapy program.

Methods: This was a retrospective cohort study (n = 58) of consecutive patients referred for neuromuscular ultrasound assessment of diaphragm muscle using B-mode technique. Patients were recruited from a single academic hospital between February 25, 2021 and November 22, 2022.

Results: Sonographic abnormalities were identified in 57% (33/58) of patients, and in the vast majority of cases (33/33) was defined by a low diaphragm muscle thickness. Thinner diaphragm muscles are correlated with lower serum creatinine and creatine kinase values, but there was no association with markers of systemic inflammation. Thirty three patients participated in outpatient cardiopulmonary physical therapy that included respiratory muscle training, and 75.8% (25/33) had documented improvement.

Conclusion: In the outpatient rehabilitation setting, patients with Long COVID display low diaphragm muscle thickness, but intact muscle contractility, with surprising frequency on neuromuscular ultrasound. We speculate this represents a form of disuse atrophy. Also, these patients appear to have a favorable response to cardiopulmonary physical therapy that includes respiratory muscle training.

Source: Prabhav P. Deo, Joseph I. Bailey, Alexandra S. Jensen, Ellen Farr, Meghan Fahey, Matthew Isherwood, Keerthana Chakka, Lisa F. Wolfe, Ishan Roy, Marc A. Sala, Colin K. Franz. Sonographic Diaphragm Abnormalities are an Unexpectedly Frequent Feature of Long COVID Outpatients with Unexplained Dyspnea and Fatigue. medRxiv 2022.06.29.22277054; doi: https://doi.org/10.1101/2022.06.29.22277054 (Full text)

Ambient air pollution exposure linked to long COVID among young adults: a nested survey in a population-based cohort in Sweden

Summary:

Background: Post COVID-19 conditions, also known as long COVID, are of public health concern, but little is known about their underlying risk factors. We aimed to investigate associations of air pollution exposure with long COVID among Swedish young adults.

Methods: We used data from the BAMSE (Children, Allergy, Environment, Stockholm, Epidemiology [in Swedish]) cohort. From October 2021 to February 2022 participants answered a web-questionnaire focusing on persistent symptoms following acute SARS-CoV-2 infection. Long COVID was defined as symptoms after confirmed infection with SARS-CoV-2 lasting for two months or longer. Ambient air pollution levels (particulate matter ≤2.5 μm [PM2.5], ≤10 μm [PM10], black carbon [BC] and nitrogen oxides [NOx]) at individual-level addresses were estimated using dispersion modelling.

Findings: A total of 753 participants with SARS-CoV-2 infection were included of whom 116 (15.4%) reported having long COVID. The most common symptoms were altered smell/taste (n = 80, 10.6%), dyspnea (n = 36, 4.8%) and fatigue (n = 34, 4.5%). Median annual PM2.5 exposure in 2019 (pre-pandemic) was 6.39 (interquartile range [IQR] 6.06–6.71) μg/m3. Adjusted Odds Ratios (95% confidence intervals) of PM2.5 per IQR increase were 1.28 (1.02–1.60) for long COVID, 1.65 (1.09–2.50) for dyspnea symptoms and 1.29 (0.97–1.70) for altered smell/taste. Positive associations were found for the other air pollutants and remained consistent across sensitivity analyses. Associations tended to be stronger among participants with asthma, and those having had COVID during 2020 (versus 2021).

Interpretation: Ambient long-term PM2.5 exposure may affect the risk of long COVID in young adults, supporting efforts for continuously improving air quality.

Source: Zhebin Yu, Sandra Ekström, Tom Bellander, Petter Ljungman, Göran Pershagen, Kristina Eneroth et al. Ambient air pollution exposure linked to long COVID among young adults: a nested survey in a population-based cohort in Sweden. The Lancet. Published: March 07, 2023 DOI:https://doi.org/10.1016/j.lanepe.2023.100608 (Full text)

Investigating brain cortical activity in patients with post-COVID-19 brain fog

Abstract:

Brain fog is a kind of mental problem, similar to chronic fatigue syndrome, and appears about 3 months after the infection with COVID-19 and lasts up to 9 months. The maximum magnitude of the third wave of COVID-19 in Poland was in April 2021.

The research referred here aimed at carrying out the investigation comprising the electrophysiological analysis of the patients who suffered from COVID-19 and had symptoms of brain fog (sub-cohort A), suffered from COVID-19 and did not have symptoms of brain fog (sub-cohort B), and the control group that had no COVID-19 and no symptoms (sub-cohort C). The aim of this article was to examine whether there are differences in the brain cortical activity of these three sub-cohorts and, if possible differentiate and classify them using the machine-learning tools. The dense array electroencephalographic amplifier with 256 electrodes was used for recordings.

The event-related potentials were chosen as we expected to find the differences in the patients’ responses to three different mental tasks arranged in the experiments commonly known in experimental psychology: face recognition, digit span, and task switching. These potentials were plotted for all three patients’ sub-cohorts and all three experiments. The cross-correlation method was used to find differences, and, in fact, such differences manifested themselves in the shape of event-related potentials on the cognitive electrodes.

The discussion of such differences will be presented; however, an explanation of such differences would require the recruitment of a much larger cohort. In the classification problem, the avalanche analysis for feature extractions from the resting state signal and linear discriminant analysis for classification were used. The differences between sub-cohorts in such signals were expected to be found. Machine-learning tools were used, as finding the differences with eyes seemed impossible. Indeed, the A&B vs. C, B&C vs. A, A vs. B, A vs. C, and B vs. C classification tasks were performed, and the efficiency of around 60-70% was achieved.

In future, probably there will be pandemics again due to the imbalance in the natural environment, resulting in the decreasing number of species, temperature increase, and climate change-generated migrations. The research can help to predict brain fog after the COVID-19 recovery and prepare the patients for better convalescence. Shortening the time of brain fog recovery will be beneficial not only for the patients but also for social conditions.

Source: Wojcik GM, Shriki O, Kwasniewicz L, Kawiak A, Ben-Horin Y, Furman S, Wróbel K, Bartosik B, Panas E. Investigating brain cortical activity in patients with post-COVID-19 brain fog. Front Neurosci. 2023 Feb 9;17:1019778. doi: 10.3389/fnins.2023.1019778. PMID: 36845422; PMCID: PMC9947499. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947499/ (Full text)

Epidemiology, symptomatology, and risk factors for long COVID symptoms: Multi-centre study

Abstract:

Background: Long COVID induces a substantial global burden of disease. The pathogenesis, complications, epidemiological and clinical characteristics of COVID-19 patients in the acute phase have been evaluated, while few studies have characterized the epidemiology, symptomatology and risk factors of long COVID symptoms. Its characteristics among coronavirus disease 2019 (COVID-19) patients in the general population remain unaddressed.

Objective: We examined the prevalence of long COVID symptoms, its symptom patterns, and its risk factors. we aimed to fill the knowledge gaps by evaluating the prevalence of long COVID symptoms in four major Chinese cities.

Methods: We performed a population-based, multi-centre survey by a representative sampling strategy via the Qualtrics platform in Beijing, Shanghai, Guangzhou and Hong Kong (June 2022). We included 2,712 community-dwelling, COVID-19 patients, and measured the prevalence of long COVID symptoms defined by the WHO, and their risk factors. The primary outcomes were the symptoms of long COVID with various levels of impact. A descriptive analysis was conducted on the prevalence and distribution of the long COVID symptoms according to disease severity. A sensitivity analysis of increasing the number of long COVID symptoms was also conducted. A univariate and multivariate regression analysis was performed to examine the risk factors of severe long COVID symptoms, including age, gender, marital status, current occupation, educational level, living status, smoking habits, monthly household income, self-perceived health status, presence of chronic diseases, use of chronic medication, COVID-19 vaccination status, and severity of COVID-19.

Results: The response rate was 63.6%. The prevalence of long COVID, moderate or severe long COVID, and severe long COVID was 90.4%, 62.4%, and 31.0%, respectively. Fatigue (33.7%), cough (31.9%), sore throat (31.0%), difficulty in concentration (30.5%), feeling of anxiety (30.2%), myalgia (29.9%), and arthralgia (29.9%) were the most common severe long COVID symptoms. From multivariate regression analysis, female gender (adjusted odds ratio [aOR]=1.49, 95% C.I.=1.13-1.95), engagement in transportation, logistics, or discipline workforce (aOR=2.52, 95% C.I.=1.58-4.03), living with domestic workers (aOR=2.37, 95% C.I.=1.39-4.03), smoking (aOR=1.55, 95% C.I.=1.17-2.05), poor self-perceived health status (aOR 5.06 to 15.38), chronic diseases (aOR 1.92 to 2.71), chronic medication use (aOR=4.38, 95% C.I.=1.66-11.53), and critical severity of COVID-19 (aOR=1.52, 95% C.I.=1.07-2.15) were associated with severe long COVID. Prior vaccination for ≥2 doses of COVID-19 was a protective factor (aOR=0.35-0.22, 95% C.I.=0.08-0.90).

Conclusions: We have examined the prevalence of long COVID symptoms in four Chinese cities according to the severity of COVID-19. We also evaluated the pattern of long COVID symptoms, and their risk factors. These findings may inform early identification of COVID-19 patients at risk of long COVID and planning of rehabilitative services.

Source: Wong MC, Huang J, Wong NY, Wong GL, Yip TC, Chan RN, Chau SW, Ng SC, Wing YK, Chan FK. Epidemiology, symptomatology, and risk factors for long COVID symptoms: Multi-centre study. JMIR Public Health Surveill. 2023 Jan 12. doi: 10.2196/42315. Epub ahead of print. PMID: 36645453. https://pubmed.ncbi.nlm.nih.gov/36645453/

Clinical, sociodemographic and environmental factors impact post-COVID-19 syndrome

Abstract:

Background: Sociodemographic and environmental factors are associated with incidence, severity, and mortality of COVID-19. However, little is known about the role of such factors in persisting symptoms among recovering patients. We designed a cohort study of hospitalized COVID-19 survivors to describe persistent symptoms and identify factors associated with post-COVID-19 syndrome.

Methods: We included patients hospitalized between March to August 2020 who were alive six months after hospitalization. We collected individual and clinical characteristics during hospitalization and at follow-up assessed ten symptoms with standardized scales, 19 yes/no symptoms, a functional status and a quality-of-life scale and performed four clinical tests. We examined individual exposure to greenspace and air pollution and considered neighbourhood´s population density and socioeconomic conditions as contextual factors in multilevel regression analysis.

Results: We included 749 patients with a median follow-up of 200 (IQR = 185-235) days, and 618 (83%) had at least one of the ten symptoms measured with scales. Pain (41%), fatigue (38%) and posttraumatic stress disorder (35%) were the most frequent. COVID-19 severity, comorbidities, BMI, female sex, younger age, and low socioeconomic position were associated with different symptoms. Exposure to ambient air pollution was associated with higher dyspnoea and fatigue scores and lower functional status.

Conclusions: We identified a high frequency of persistent symptoms among COVID-19 survivors that were associated with clinical, sociodemographic, and environmental variables. These findings indicate that most patients recovering from COVID-19 will need post-discharge care, and an additional burden to health care systems, especially in LMICs, should be expected.

Source: Ferreira JC, Moreira TCL, de Araújo AL, Imamura M, Damiano RF, Garcia ML, Sawamura MV, Pinna FR, Guedes BF, Gonçalves FAR, Mancini M, Burdmann EA, da Silva Filho DF, Polizel JL, Bento RF, Rocha V, Nitrini R, de Souza HP, Levin AS, Kallas EG, Forlenza OV, Busatto GF, Batistella LR, de Carvalho CRR, Mauad T, Gouveia N; HCFMUSP COVID-19 Study Group. Clinical, sociodemographic and environmental factors impact post-COVID-19 syndrome. J Glob Health. 2022 Aug 9;12:05029. doi: 10.7189/jogh.12.05029. PMID: 35939273. https://jogh.org/2022/jogh-12-05029 (Full text)

WE WANT TO HELP!

Getting help is a priority for people who are ill. This is especially important for ME/CFS patients who have lost their incomes because they are too ill to work. People who are so impoverished that they can’t afford food, clothing, and shelter face a struggle for survival on a daily basis. That struggle can overshadow all others – including the search for physicians and treatments – while patients scramble for their basic needs. The effort to stay alive is all-encompassing.

How will these patients get food to eat, pay their rent, and buy such bare essentials as shoes?

Who will help them when their options run out?

We will! AMMES has distributed over $85,000 to patients who are severely ill to help them with their basic necessities. We have helped pay for housing, medical care, food, utilities, and other essential needs. Please help us help them by spreading the word.

Read more about how AMMES helps people with their basic needs here>>

AMMES is a 501(c)(3) national nonprofit. Your donations are tax deductible.

You can donate to our financial crisis fund HERE.

2021: That Was The Year That Was

Original public domain image from Wikimedia Commons

Last year was, by all accounts, a doozy. The nation endured a spate of tornadoes, fires, floods and, of course, the pandemic. The fact that we made it to 2022 seems like a minor miracle.

Despite the many challenges of 2021, AMMES continued to grow. We welcomed two new board members: Mark Zinn and Tamara Staples. Mark is well known in the research community for his groundbreaking work on brain connectivity in ME/CFS patients. Currently, Mark is a director and investigator at the NeuroCognitive Research Institute in Chicago, IL, where he conducts studies which model brain connectivity in patients using 3-D neuroimaging EEG techniques.

Tamara Staples is our new Coordinator for Support and Outreach. As a long-term ME/CFS patient, she ran one of the largest Fibro-ME/CFS support groups in the country. Before the group closed, it was providing its approximately 900 members with monthly newsletter, webinar, an in-person group focused on education, as well as a very active Facebook group. For several years, Tamara has been in a remission that has allowed hiking, camping and backpacking to become a passion. (Stay tuned for her remission story!)

AMMES also added two new resource pages to the website. Our informational page about COVID-19 and ME/CFS includes physicians’ recommendations regarding the COVID vaccine for people with ME/CFS, patient surveys on how the vaccine has affected them, research articles on long-Covid and ME/CFS, related news items, and tips from doctors on how to treat patients with ME/CFS who contract COVID-19. You can find the page here:  https://ammes.org/covid-19/

Last year, we launched a page devoted to interviews with ME/CFS doctors and researchers. Interviews are a great way to keep track of what researchers in the field are doing, and to get the details on how specialists are currently treating the disease. We will be expanding this section over 2022, adding more interviews as we go along. https://ammes.org/interviews-with-doctors-and-researchers/

The AMMES financial crisis fund has been going strong. In 2021 we distributed $41,143.86 in badly needed assistance to severely ill ME/CFS patients. We helped with rent (which was the most frequent request for financial aid), food, medical costs (including consults, ambulance fees, wheelchairs, and prescriptions), household expenses, utilities, and other basic needs. Read about the fund here: https://ammes.org/ammes-financial-crisis-fund/

Continue reading “2021: That Was The Year That Was” →

Biomedical Perspectives of Acute and Chronic Neurological and Neuropsychiatric Sequelae of COVID-19

Abstract:

The incidence of infections from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent for coronavirus disease 2019 (COVID-19), has dramatically escalated following the initial outbreak in China in late 2019, resulting in a global pandemic with millions of deaths. Although the majority of infected patients survive, and the rapid advent and deployment of vaccines have afforded increased immunity against SARS-CoV-2, long term sequelae of SARS-CoV-2 infection have become increasingly recognized. These include, but are not limited to, chronic pulmonary disease, cardiovascular disorders, and proinflammatory-associated neurological dysfunction that may lead to psychological and neurocognitive impairment. A major component of cognitive dysfunction is operationally categorized as “brain fog” which comprises difficulty with concentration, forgetfulness, confusion, depression, and fatigue.

Multiple parameters associated with long-term neuropsychiatric sequelae of SARS-CoV-2 infection have been detailed in clinical studies. Empirically elucidated mechanisms associated with the neuropsychiatric manifestations of COVID-19 are by nature complex, but broad based working models have focused on mitochondrial dysregulation leading to systemic reductions of metabolic activity and cellular bioenergetics within CNS structures. Multiple factors underlying the expression of brain fog may facilitate future pathogenic insults leading to repetitive cycles of viral and bacterial propagation. Interestingly, diverse neurocognitive sequelae associated with COVID-19 are not dissimilar from those observed in other historical pandemics, thereby providing a broad and integrative perspective on potential common mechanisms of CNS dysfunction subsequent to viral infection. Poor mental health status may be reciprocally linked to compromised immune processes and enhanced susceptibility to infection by diverse pathogens.

By extrapolation, we contend that COVID-19 may potentiate the severity of neurological/neurocognitive deficits in patients afflicted by well-studied neurodegenerative disorders such as Alzheimer’s disease and Parkinson’s disease. Accordingly, the prevention, diagnosis, and management of sustained neuropsychiatric manifestations of COVID-19 are pivotal health care directives and provide a compelling rationale for careful monitoring of infected patients, as early mitigation efforts may reduce short- and long-term complications.

Source: Stefano GB, Büttiker P, Weissenberger S, Ptacek R, Wang F, Esch T, Bilfinger TV, Kream RM. Biomedical Perspectives of Acute and Chronic Neurological and Neuropsychiatric Sequelae of COVID-19. Curr Neuropharmacol. 2021 Dec 23. doi: 10.2174/1570159X20666211223130228. Epub ahead of print. PMID: 34951387. https://pubmed.ncbi.nlm.nih.gov/34951387/