Tag: long covid subtypes

Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease

Abstract:

One in ten severe acute respiratory syndrome coronavirus 2 infections result in prolonged symptoms termed long coronavirus disease (COVID), yet disease phenotypes and mechanisms are poorly understood1. Here we profiled 368 plasma proteins in 657 participants ≥3 months following hospitalization. Of these, 426 had at least one long COVID symptom and 233 had fully recovered.

Elevated markers of myeloid inflammation and complement activation were associated with long COVID. IL-1R2, MATN2 and COLEC12 were associated with cardiorespiratory symptoms, fatigue and anxiety/depression; MATN2, CSF3 and C1QA were elevated in gastrointestinal symptoms and C1QA was elevated in cognitive impairment. Additional markers of alterations in nerve tissue repair (SPON-1 and NFASC) were elevated in those with cognitive impairment and SCG3, suggestive of brain-gut axis disturbance, was elevated in gastrointestinal symptoms.

Severe acute respiratory syndrome coronavirus 2-specific immunoglobulin G (IgG) was persistently elevated in some individuals with long COVID, but virus was not detected in sputum. Analysis of inflammatory markers in nasal fluids showed no association with symptoms.

Our study aimed to understand inflammatory processes that underlie long COVID and was not designed for biomarker discovery. Our findings suggest that specific inflammatory pathways related to tissue damage are implicated in subtypes of long COVID, which might be targeted in future therapeutic trials.

Source: Liew F, Efstathiou C, Fontanella S, Richardson M, Saunders R, Swieboda D, Sidhu JK, Ascough S, Moore SC, Mohamed N, Nunag J, King C, Leavy OC, Elneima O, McAuley HJC, Shikotra A, Singapuri A, Sereno M, Harris VC, Houchen-Wolloff L, Greening NJ, Lone NI, Thorpe M, Thompson AAR, Rowland-Jones SL, Docherty AB, Chalmers JD, Ho LP, Horsley A, Raman B, Poinasamy K, Marks M, Kon OM, Howard LS, Wootton DG, Quint JK, de Silva TI, Ho A, Chiu C, Harrison EM, Greenhalf W, Baillie JK, Semple MG, Turtle L, Evans RA, Wain LV, Brightling C, Thwaites RS, Openshaw PJM; PHOSP-COVID collaborative group; ISARIC investigators. Large-scale phenotyping of patients with long COVID post-hospitalization reveals mechanistic subtypes of disease. Nat Immunol. 2024 Apr;25(4):607-621. doi: 10.1038/s41590-024-01778-0. Epub 2024 Apr 8. PMID: 38589621; PMCID: PMC11003868. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11003868/ (Full text)

Repeated Hand Grip Strength is an Objective Marker for Disability and Severity of Key Symptoms in Post-COVID ME/CFS

Abstract:

Post-COVID Syndrome (PCS) refers to a diverse array of symptoms that persist beyond 3 months of the acute phase of a SARS-CoV-2 infection. The most frequent symptom is fatigue, which can manifest both mentally and physically. In this study, handgrip strength (HGS) parameters were determined as an objective measure of muscle fatigue and fatigability. HGS parameters were correlated with other frequent symptoms among 144 female PCS patients suffering from fatigue, exertional intolerance, and cognitive impairment.

Seventy-eight patients met the Canadian Consensus Criteria (CCC) for post-infectious myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). The severity of disability and key symptoms were evaluated utilizing self-reported questionnaires.

Notably, patients diagnosed with ME/CFS exhibited a higher overall severity of symptoms, including lower physical function (p < 0.001), a greater degree of disability (p < 0.001), more severe fatigue (p < 0.001), post-exertional malaise (p < 0.001), and autonomic dysfunction (p = 0.004). While HGS was similarly impaired in both PCS and ME/CFS patients, the associations between HGS and the severity of symptoms and disability revealed striking differences.

We observed significant correlations of HGS parameters with physical function across all patients, but with the key symptoms PEM, fatigue, cognitive impairment, and autonomic dysfunction in ME/CFS patients only. This points to a common mechanism for these symptoms in the ME/CFS subtype, distinct from that in other types of PCS. Further HGS provides an objective marker of disease severity in ME/CFS.

Source: Anna Paffrath, Laura Kim, Claudia Kedor, Elisa Stein, Rebekka Rust, Helma Freitag, Uta Hoppmann, Leif G Hanitsch, Judith Bellmann-Strobl, Kirsten Wittke, Carmen Scheibenbogen, Franziska Sotzny. Repeated Hand Grip Strength is an Objective Marker for Disability and Severity of Key Symptoms in Post-COVID ME/CFS.
medRxiv 2024.01.25.24301776;  https://www.medrxiv.org/content/10.1101/2024.01.25.24301776v1 (Full text available as PDF file)

Assessing symptoms of long/post COVID and chronic fatigue syndrome using the DePaul symptom questionnaire-2: a validation in a German-speaking population

Abstract:

Objective: A subset of Covid-19 survivors will develop persisting health sequelae (i.e. Long Covid/LC or Post Covid/PC) similar to Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). In the absence of a reliable biomarker to diagnose LC/PC and ME/CFS, their classification based on symptoms becomes indispensable. Hence, we translated and validated the DePaul Symptom Questionnaire−2 (DSQ-2), to offer a screening tool for the German-speaking population.

Methods: A sample of healthy adults, and adults with ME/CFS and LC/PC (N = 502) completed a reduced-item version of the DSQ-2 and SF-36 questionnaire online. We performed an exploratory factor analysis, assessed construct validity, diagnostic accuracy and compared the symptom profiles of individuals with ME/CFS versus LC/PC versus healthy adults.

Results: Exploratory factor analysis revealed a 10-factor solution with excellent internal consistencies. The sensitivity of the DSQ-2 was excellent. The specificity was moderate with moderate inter-rater reliability. Construct validity of the DSQ-2 was supported by strong negative correlations with physical health subscales of the SF-36. A visual comparison of the symptom profiles of individuals with ME/CFS versus LC/PC revealed a comparable pattern.

Conclusion: Despite lower symptom severity, individuals with LC/PC reported significantly stronger limitations in general health and physical functioning and were more likely to meet ME/CFS diagnostic criteria with ongoing sickness duration, suggesting that ME/CFS can be considered a long-term sequela of LC/PC. This study offers a translated and validated version of the reduced-item DSQ-2 that can guide medical evaluation and aid physicians in identifying a ME/CFS-like subtype of LC/PC.

Source: Nina Buntić, Leonard A. Jason, Jochen Schneider, Marc Schlesser & André Schulz (2023) Assessing symptoms of long/post COVID and chronic fatigue syndrome using the DePaul symptom questionnaire-2: a validation in a German-speaking population, Fatigue: Biomedicine, Health & Behavior, DOI: 10.1080/21641846.2023.2295419 https://www.tandfonline.com/doi/full/10.1080/21641846.2023.2295419 (Full text)

Cortical thickness alterations and systemic inflammation define long-COVID patients with cognitive impairment

Abstract:

As the heterogeneity of symptoms is increasingly recognized among long-COVID patients, it appears highly relevant to study potential pathophysiological differences along the different subtypes. Preliminary evidence suggests distinct alterations in brain structure and systemic inflammatory patterns in specific groups of long-COVID patients.

To this end, we analyzed differences in cortical thickness and peripheral immune signature between clinical subgroups based on 3T-MRI scans and signature inflammatory markers in n=120 participants comprising healthy never-infected controls, healthy COVID-19 survivors, and subgroups of long-COVID patients with and without cognitive impairment according to screening with Montreal Cognitive Assessment.

Whole-brain comparison of cortical thickness between the 4 groups was conducted by surface-based morphometry. We identified distinct cortical areas showing a progressive increase in cortical thickness across different groups, starting from healthy individuals who had never been infected with COVID-19, followed by healthy COVID-19 survivors, long-COVID patients without cognitive deficits (MoCA ≥ 26), and finally, long-COVID patients exhibiting significant cognitive deficits (MoCA < 26). These findings highlight the continuum of cortical thickness alterations associated with COVID-19, with more pronounced changes observed in individuals experiencing cognitive impairment (p<0.05, FWE-corrected).

Affected cortical regions covered prefrontal and temporal gyri, insula, posterior cingulate, parahippocampal gyrus, and parietal areas. Additionally, we discovered a distinct immunophenotype, with elevated levels of IL-10, IFNg, and sTREM2 in long-COVID patients, especially in the group suffering from cognitive impairment.

We demonstrate lingering cortical and immunological alterations in healthy and impaired subgroups of COVID-19 survivors. This implies a complex underlying pathomechanism in long-COVID and emphasizes the necessity to investigate the whole spectrum of post-COVID biology to determine targeted treatment strategies targeting specific sub-groups.

Source: Bianca Besteher, Tonia Rocktaeschel, Alejandra Patricia Garza, Marlene Machnik, Johanna Ballez, Dario Lucas Helbing, Katrhin Finke, Philipp Reuken, Daniel Guellmar, Christian Gaser, Martin Walter, Nils Opel, Ildiko Rita Dunay. Cortical thickness alterations and systemic inflammation define long-COVID patients with cognitive impairment. medRxiv 2023.07.21.23292988; doi: https://doi.org/10.1101/2023.07.21.23292988 https://www.medrxiv.org/content/10.1101/2023.07.21.23292988v1v (Full text available as PDF file)

A Molecular Biomarker-Based Triage Approach for Targeted Treatment of Post-COVID-19 Syndrome Patients with Persistent Neurological or Neuropsychiatric Symptoms

Abstract:

Approximately 30% of COVID-19 cases may experience chronic symptoms, known as post-COVID-19 syndrome (PCS). Common PCS symptoms can include fatigue, cognitive impairment, and persistent physical, neurological, and neuropsychiatric complaints.

To improve healthcare and management of the current and future pandemics, we highlight the need for establishing interdisciplinary post-viral outpatient clinics comprised of specialists in fields such as psychiatry, psychotherapy, neurology, cardiology, pneumology, and immunology. In this way, PCS patients with a high health burden can receive modern diagnostics and targeted therapeutic recommendations. A key objective is to distinguish the “sick recovered” from the “healthy recovered.”

Our hypothesis is that there is a PCS subgroup with autoimmune-mediated systemic and brain-vascular dysregulation, which may lead to circulatory disorders, fatigue, cognitive impairment, depression, and anxiety. This can be clarified using a combination of specific antibody diagnostics and precise clinical, psychological, and apparative testing.

Source: Guest PC, Neyazi A, Braun-Dullaeus RC, Müller P, Schreiber J, Haghikia A, Vasilevska V, Steiner J. A Molecular Biomarker-Based Triage Approach for Targeted Treatment of Post-COVID-19 Syndrome Patients with Persistent Neurological or Neuropsychiatric Symptoms. Adv Exp Med Biol. 2023;1412:97-115. doi: 10.1007/978-3-031-28012-2_5. PMID: 37378763. https://pubmed.ncbi.nlm.nih.gov/37378763/

Symptom presentation and quality of life are comparable in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and post COVID-19 condition

Abstract:
Background and Οbjective: Considerable overlap exists in the clinical presentation of Post COVID-19 Condition and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). The current study aimed to compare symptoms and patient-reported Quality of Life (QoL) among people with Post COVID-19 Condition and ME/CFS in Australia. Methods: QoL data was collected from n=61 ME/CFS patients, n=31 Post COVID-19 Condition patients, and n=54 Healthy Controls (HCs) via validated instruments. The ME/CFS and Post COVID-19 Condition participants also provided self-reported severity and frequency of symptoms derived from the Canadian and International Consensus Criteria for ME/CFS and the World Health Organization case definition for Post COVID-19 Condition. Study variables were compared with Chi-square, Fisher’s exact, Fisher-Freeman-Halton, Mann-Whitney U, and Kruskal-Wallis H tests using Statistical Package for the Social Sciences version 29. Symptom clusters among the two illness cohorts were identified with hierarchical cluster analysis.
Results: ME/CFS was associated with a higher prevalence of short-term memory loss (p=0.039), muscle weakness (p<0.001), lymphadenopathy (p=0.013), and nausea (p=0.003). People with ME/CFS also reported more severe light-headedness (p=0.011) and more frequent unrefreshed sleep (p=0.011), but less frequent heart palpitations (p=0.040). Symptom prevalence, severity, and frequency were otherwise comparable. Few differences existed in the QoL of the two illness cohorts, both of which returned significantly impaired QoL scores when compared with HCs (p<0.001). Cluster analysis of symptom prevalence revealed four clusters: 1) Low gastrointestinal, low neurosensory; 2) Moderate gastrointestinal, low orthostatic and memory loss; 3) Moderate gastrointestinal, high orthostatic and memory loss; and 4) High gastrointestinal, high pain, which did not differ in sociodemographic information, illness status, or diagnostic criteria met.
Conclusions: Post COVID-19 Condition and ME/CFS are remarkably similar in presentation and, like ME/CFS, Post COVID-19 Condition has a profound and negative impact on patient QoL. Gastrointestinal symptoms may have a role in determining ME/CFS and Post COVID-19 Condition subtypes.
Source: Weigel B, Eaton-Fitch N, Thapaliya K, Marshall-Gradisnik S. Symptom presentation and quality of life are comparable in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and post COVID-19 condition. Population Medicine. 2023;5(Supplement):A372. doi:10.18332/popmed/165669.  http://www.populationmedicine.eu/Symptom-presentation-and-quality-of-life-are-comparable-in-Myalgic-Encephalomyelitis,165669,0,2.html

Five cluster classifications of long COVID and their background factors: A cross-sectional study in Japan

Abstract:

Purpose: The long-term symptoms of coronavirus disease 2019 (COVID-19), i.e., long COVID, have drawn research attention. Evaluating its subjective symptoms is difficult, and no established pathophysiology or treatment exists. Although there are several reports of long COVID classifications, there are no reports comparing classifications that include patient characteristics, such as autonomic dysfunction and work status. We aimed to classify patients into clusters based on their subjective symptoms during their first outpatient visit and evaluate their background for these clusters.

Methods: Included patients visited our outpatient clinic between January 18, 2021, and May 30, 2022. They were aged ≥ 15 years and confirmed to have SARS-CoV-2 infection and residual symptoms lasting at least 2 months post-infection. Patients were evaluated using a 3-point scale for 23 symptoms and classified into five clusters (1. fatigue only; 2. fatigue, dyspnea, chest pain, palpitations, and forgetfulness; 3. fatigue, headache, insomnia, anxiety, motivation loss, low mood, and forgetfulness; 4. hair loss; and 5. taste and smell disorders) using CLUSTER. For continuous variables, each cluster was compared using the Kruskal–Wallis test. Multiple comparison tests were performed using the Dunn’s test for significant results. For nominal variables, a Chi-square test was performed; for significant results, a residual analysis was conducted with the adjusted residuals.

Results: Compared to patients in other cluster categories, those in cluster categories 2 and 3 had higher proportions of autonomic nervous system disorders and leaves of absence, respectively.

Conclusions: Long COVID cluster classification provided an overall assessment of COVID-19. Different treatment strategies must be used based on physical and psychiatric symptoms and employment factors.

Source: Tsuchida, T., Yoshimura, N., Ishizuka, K. et al. Five cluster classifications of long COVID and their background factors: A cross-sectional study in Japan. Clin Exp Med (2023). https://doi.org/10.1007/s10238-023-01057-6 (Full text)

Neuropathology and Neurological Manifestations in ME/CFS and Long COVID with focus on Post-Exertional Symptom Exacerbation: a Literature Review

Summary:

Many of the people that get infected with the Coronavirus develop long-lasting complaints and are diagnosed with Long COVID after the acute infection is gone. These complains can last several months or years and include fatigue, cognitive impairment, sleeping problems and post-exertional symptom exacerbation (PESE). Research shows that COVID-19 patients with an acute infection have abnormalities in their brain, which could potentially lead to long-lasting neurological problems and symptoms. However, although many researchers are trying to uncover the underlying mechanisms, Long COVID is still very new.
The underlying mechanisms causing and maintaining the disease are therefore unclear. A large group of Long COVID patients resembles patients with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) in terms of symptoms and, in many cases, the viral trigger of the disease. A core symptom of ME/CFS is PESE, which is uncommon in other fatiguing illnesses, but frequently seen in Long COVID patients. PESE involves an abnormal worsening of symptoms and cognitive and physical functions after any type of normal activity. Because of the large symptom overlap and lack of knowledge regarding PESE, underlying brain-mechanisms associated with Long COVID and ME/CFS in general as well as after physical exertion were investigated.
The findings of this review indicate that ME/CFS is associated with several abnormalities in the brain which are also proposed to be present in Long COVID patients. Such abnormalities include inflammation of the brain, shrinkage of the brain and less blood flow to the brain. After physical exertion, these abnormalities might be exacerbated in ME/CFS patients. This results in a brain that needs to work harder than the healthy brain to complete a task. It is demonstrated by increased brain activity in several brain regions after physical exertion and general symptom exacerbation. Since the two diseases seem to have a large overlap in symptoms and underlying brain-mechanisms, this finding might apply to patients with long COVID as well. Importantly, Long COVID seems to consist of different subgroups of which a large part fulfills the criteria for ME/CFS.
Treatment and therapy for ME/CFS patients is therefore likely transferable to this subgroup of Long COVID patients, with explicit attention towards the PESE phenomenon. More research is needed to uncover the underlying mechanisms as well as correct treatment approach of these diseases. Future research should take subgroups of Long COVID into account.
Source: Rodenburg, Sanne. Neuropathology and Neurological Manifestations in ME/CFS and Long COVID with focus on Post-Exertional Symptom Exacerbation: a Literature Review. Master Thesis, Utrecht University. March 14, 2023. https://studenttheses.uu.nl/bitstream/handle/20.500.12932/43647/Rodenburg_7433050_Neuropathology%20and%20neurological%20manifestations%20in%20MECFS%20and%20Long%20COVID%20with%20focus%20on%20PESE.pdf (Full text)

Monocyte migration profiles define disease severity in acute COVID-19 and unique features of long COVID

Abstract:

Background: COVID-19 is associated with a dysregulated immune response but it is unclear how immune dysfunction contributes to the chronic morbidity persisting in many COVID-19 patients during convalescence (long COVID).

Methods: We assessed phenotypical and functional changes of monocytes in COVID-19 patients during hospitalization and up to 9 months of convalescence following COVID-19, respiratory syncytial virus (RSV) or influenza A (flu). Progressive fibrosing interstitial lung disease (PFILD) patients were included a positive control for severe, ongoing lung injury.

Results: Monocyte alterations in acute COVID-19 patients included aberrant expression of leucocyte migration molecules, continuing into convalescence (n=142) and corresponding to specific symptoms of long COVID. Long COVID patients with unresolved lung injury, indicated by sustained shortness of breath and abnormal chest radiology, were defined by high monocyte expression of chemokine receptor CXCR6 (p<0.0001) and adhesion molecule PSGL-1 (p<0.01), alongside preferential migration of monocytes towards CXCR6 ligand CXCL16 (p<0.05) which is abundantly expressed in the lung. Monocyte CXCR6 and lung CXCL16 were heightened in PFILD patients (p<0.001) confirming a role for the CXCR6-CXCL16 axis in ongoing lung injury. Conversely, monocytes from long COVID patients with ongoing fatigue exhibited sustained reduction of the prostaglandin-generating enzyme COX-2 (p<0.01) and CXCR2 expression (p<0.05). These monocyte changes were not present in RSV or flu convalescence.

Conclusions: Our data define unique monocyte signatures that define subgroups of long COVID patients, indicating a key role for monocyte migration in COVID-19 pathophysiology. Targeting these pathways may provide novel therapeutic opportunities in COVID-19 patients with persistent morbidity.

Source: Scott NA, Pearmain L, Knight SB, Brand O, Morgan DJ, Jagger C, Harbach S, Khan S, Shuwa HA, Franklin M, Kästele V, Williams T, Prise I, McClure FA, Hackney P, Smith L, Menon M, Konkel JE, Lawless C, Wilson J, Mathioudakis AG, Stanel SC, Ustianowski A, Lindergard G, Brij S, Diar Bakerly N, Dark P, Brightling C, Rivera-Ortega P, Lord GM, Horsley A; CIRCO; Piper Hanley K, Felton T, Simpson A, Grainger JR, Hussell T, Mann ER. Monocyte migration profiles define disease severity in acute COVID-19 and unique features of long COVID. Eur Respir J. 2023 Mar 15:2202226. doi: 10.1183/13993003.02226-2022. Epub ahead of print. PMID: 36922030. https://erj.ersjournals.com/content/early/2023/02/23/13993003.02226-2022 (Full article available as PDF file)

A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms

Abstract:

Background: Accurate COVID-19 prognosis is a critical aspect of acute and long-term clinical management. We identified discrete clusters of early stage-symptoms which may delineate groups with distinct disease severity phenotypes, including risk of developing long-term symptoms and associated inflammatory profiles.

Methods: 1,273 SARS-CoV-2 positive U.S. Military Health System beneficiaries with quantitative symptom scores (FLU-PRO Plus) were included in this analysis. We employed machine-learning approaches to identify symptom clusters and compared risk of hospitalization, long-term symptoms, as well as peak CRP and IL-6 concentrations.

Results: We identified three distinct clusters of participants based on their FLU-PRO Plus symptoms: cluster 1 (“Nasal cluster”) is highly correlated with reporting runny/stuffy nose and sneezing, cluster 2 (“Sensory cluster”) is highly correlated with loss of smell or taste, and cluster 3 (“Respiratory/Systemic cluster”) is highly correlated with the respiratory (cough, trouble breathing, among others) and systemic (body aches, chills, among others) domain symptoms. Participants in the Respiratory/Systemic cluster were twice as likely as those in the Nasal cluster to have been hospitalized, and 1.5 times as likely to report that they had not returned-to-activities, which remained significant after controlling for confounding covariates (P < 0.01). Respiratory/Systemic and Sensory clusters were more likely to have symptoms at six-months post-symptom-onset (P = 0.03). We observed higher peak CRP and IL-6 in the Respiratory/Systemic cluster (P < 0.01).

Conclusions: We identified early symptom profiles potentially associated with hospitalization, return-to-activities, long-term symptoms, and inflammatory profiles. These findings may assist in patient prognosis, including prediction of long COVID risk.

Source: Epsi NJ, Powers JH, Lindholm DA, Mende K, Malloy A, Ganesan A, Huprikar N, Lalani T, Smith A, Mody RM, Jones MU, Bazan SE, Colombo RE, Colombo CJ, Ewers EC, Larson DT, Berjohn CM, Maldonado CJ, Blair PW, Chenoweth J, Saunders DL, Livezey J, Maves RC, Sanchez Edwards M, Rozman JS, Simons MP, Tribble DR, Agan BK, Burgess TH, Pollett SD; EPICC COVID-19 Cohort Study Group. A machine learning approach identifies distinct early-symptom cluster phenotypes which correlate with hospitalization, failure to return to activities, and prolonged COVID-19 symptoms. PLoS One. 2023 Feb 9;18(2):e0281272. doi: 10.1371/journal.pone.0281272. PMID: 36757946; PMCID: PMC9910657. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910657/ (Full text)