Abstract:
Tag: 2023
Persistent endothelial dysfunction in post-COVID-19 syndrome and its associations with symptom severity and chronic inflammation
Abstract:
Background: Post-COVID-19 syndrome (PCS) is a lingering disease with ongoing symptoms such as fatigue and cognitive impairment resulting in a high impact on the daily life of patients. Understanding the pathophysiology of PCS is a public health priority, as it still poses a diagnostic and treatment challenge for physicians.
Methods: In this prospective observational cohort study, we analyzed the retinal microcirculation using Retinal Vessel Analysis (RVA) in a cohort of patients with PCS and compared it to an age- and gender-matched healthy cohort (n=41, matched out of n = 204).
Measurements and main results: PCS patients exhibit persistent endothelial dysfunction (ED), as indicated by significantly lower venular flicker-induced dilation (vmax; 3.42% ± 1.77% vs. 4.64 % ± 2.59%; p = 0.02), narrower central retinal artery equivalent (CRAE; 178.1 [167.5 – 190.2] vs. 189.1 [179.4 – 197.2], p = 0.01) and lower arteriolar-venular ratio (AVR; (0.84 [0.8 – 0.9] vs. 0.88 [0.8 – 0.9], p = 0.007). When combining AVR and vmax, predicted scores reached good ability to discriminate groups (area under the curve: 0.75). Higher PCS severity scores correlated with lower AVR (R= -0.37 p = 0.017). The association of microvascular changes with PCS severity were amplified in PCS patients exhibiting higher levels of inflammatory parameters.
Conclusion: Our results demonstrate that prolonged endothelial dysfunction is a hallmark of PCS, and impairments of the microcirculation seem to explain ongoing symptoms in patients. As potential therapies for PCS emerge, RVA parameters may become relevant as clinical biomarkers for diagnosis and therapy management.
Source: Timon Kuchler, Roman Günthner, Andrea Ribeiro et al. Persistent endothelial dysfunction in post-COVID-19 syndrome and its associations with symptom severity and chronic inflammation, 22 May 2023, PREPRINT (Version 1) available at Research Square https://doi.org/10.21203/rs.3.rs-2952588/v1 (Full text)
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository
Abstract:
Machine learning (ML)-driven computable phenotypes are among the most challenging to share and reproduce. Despite this difficulty, the urgent public health considerations around Long COVID make it especially important to ensure the rigor and reproducibility of Long COVID phenotyping algorithms such that they can be made available to a broad audience of researchers. As part of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, researchers with the National COVID Cohort Collaborative (N3C) devised and trained an ML-based phenotype to identify patients highly probable to have Long COVID. Supported by RECOVER, N3C and NIH’s All of Us study partnered to reproduce the output of N3C’s trained model in the All of Us data enclave, demonstrating model extensibility in multiple environments. This case study in ML-based phenotype reuse illustrates how open-source software best practices and cross-site collaboration can de-black-box phenotyping algorithms, prevent unnecessary rework, and promote open science in informatics.
Source: Pfaff ER, Girvin AT, Crosskey M, Gangireddy S, Master H, Wei WQ, Kerchberger VE, Weiner M, Harris PA, Basford M, Lunt C, Chute CG, Moffitt RA, Haendel M; N3C and RECOVER Consortia. De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository. J Am Med Inform Assoc. 2023 May 22:ocad077. doi: 10.1093/jamia/ocad077. Epub ahead of print. PMID: 37218289. https://pubmed.ncbi.nlm.nih.gov/37218289/
The Renin-Angiotensin-System in COVID-19: Can Long COVID Be Predicted?
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(1) Background: Co-morbidities such as hypertension and cardiovascular disease are major risk factors for severe COVID-19. The renin-angiotensin-system (RAS) is critically involved in their pathophysiology and is counterbalanced by both angiotensin-converting enzyme 2 (ACE2), the functional receptor of SARS-CoV-2, and the kallikrein-kinin-system (KKS). Considerable research interest with respect to COVID-19 treatment is, thus, currently directed towards the components of these systems. In an earlier study, we noticed significantly reduced carboxypeptidase N (CPN, KKS member) activity and partially excessive angiotensin-converting enzyme (ACE, RAS member) activity in the sera of both hospitalized (HoP) COVID-19 patients and a sub-group of covalescent patients, while in the majority of the probands recovering from the disease these values had returned to normal. The data had been obtained using bradykinin (BK) as a reporter peptide, which is a target of both CPN and ACE, and they were supplemented by serum proteomics of the same patient cohort. We hypothesized that the data could be indicative of Long COVID, which had not been fully appreciated at the time of our study.;
(2) Methods: The data were re-evaluated in the light of Long COVID. The recent literature on the RAS in COVID-19, antihypertensiva, and Long COVID was briefly reviewed.;
(3) Results: While the levels of the BK serum degradation products should return to normal concentrations during convalescence, this was not true for some patients. This could be due to persisting liver problems, because CPN is synthesized there, but also to a dysregulated RAS. This was not reflected in the levels of selected RAS/KKS serum proteins like angiotensinogen (AGT), although AGT correlated with disease severity in HoP. However, standard tests in routine patient care in Long COVID often come back normal, and it may be that BK degradation is specific in some pathophysiologies. Moreover, the HoP group was sub-divided based on the serum protein profiles and COVID-19 severity.;
(4) Conclusions: We point out two insights: 1) Sensitive technology such as omics methods might provide unexpected significant differences within the pre-defined patient groups of a clinical study. Those can only be explored, if the cohorts are large enough and properly matched with respect to the parameters known beforehand (e.g., age, gender, co-morbidities). 2) Results of the BK-reporter serum protease activity assay could be indicative of persisting liver problems and/or potentially of Long COVID. Clinical studies are required to test this hypothesis.
Source: König, S.; Vollenberg, R.; Tepasse, P. The Renin-Angiotensin-System in COVID-19: Can Long COVID Be Predicted?. Preprints.org 2023, 2023051298. https://doi.org/10.20944/preprints202305.1298.v1 (Full text available as PDF file)
Long COVID: An Epidemic within the Pandemic
Introduction:
Coronavirus disease 2019 (COVID-19), a life-threatening infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in the Chinese city of Wuhan in late 2019 and has subsequently spread worldwide, reaching pandemic proportions [1]. At the time of writing (i.e., May 2023), COVID-19 has already caused nearly 7 million official deaths, according to World Health Organization (WHO) statistics [2]. Although the WHO COVID-19 emergency committee recently decided to no longer classify COVID-19 as an international public health emergency, SARS-CoV-2 infections and/or reinfections still cause a large number of deaths worldwide, with an excess mortality still estimated at approximately 10,000 deaths per day [3]. In addition to the still significant organic injuries that can develop during an acute SARS-CoV-2 infection, particularly in frail, old and unvaccinated individuals, there is now established evidence that the so-called post-viral syndrome (i.e., a common consequence of many viral infections encompassing a kaleidoscope of organic and psychiatric disorders) [4] is a fairly common sequela of COVID-19 in officially recovered patients, variously termed “post-COVID”, “long-haul COVID”, “long COVID” and so forth.
Source: Mattiuzzi C, Lippi G. Long COVID: An Epidemic within the Pandemic. COVID. 2023; 3(5):773-776. https://doi.org/10.3390/covid3050057 (Full text)
First study results of the P4O2 long COVID cohort
Abstract:
Introduction: Several studies indicate that the acute phase of COVID-19 may be followed by persistent symptoms. However, the impact of COVID-19 on long-term health outcomes remains to be elucidated.
Aims: The Precision Medicine for more Oxygen (P4O2) COVID-19 study aims to identify long COVID patients that are that are at risk for developing chronic lung disease and to identify treatable traits and innovative personalized therapeutic strategies for prevention and treatment. This study describes the baseline characteristics of the P4O2 COVID-19 cohort.
Methods: Long COVID patients were recruited from 5 different hospitals in The Netherlands at 3-6 months post-COVID. Data from medical records and biological samples were collected, pulmonary function tests and chest computed tomography scans were performed and questionnaires were administered during 2 study visits.
Results: 95 long COVID patients were enrolled between May 2021 and September 2022. Study participants were aged 54.2 years on average and of female sex in 49.5% of all cases. Most patients were hospitalized(89.5%) for COVID-19 with a mean hospital stay duration of 8 days. The current study showed persistence of clinical symptoms and signs of pulmonary function test/radiological abnormalities in long COVID patients(81%). The most frequently reported symptom categories were respiratory(80%) and fatigue(69.5%). Both female sex and infection with the Delta, compared with the Beta, SARS-CoV-2 variant were significantly associated with more persisting symptoms.
Conclusions: The first descriptive results of the P4O2 COVID-19 cohort show that long COVID patients show signs of radiological/functional abnormalities and can suffer from a wide range of persisting symptoms.
Source: N Baalbaki, J Blankestijn, M Abdel-Aziz, J De Backer, S Bazdar, I Beekers, R Beijers, J Van Den Bergh, L Bloemsma, H J Bogaard, J Van Bragt, V Van Den Brink, J P Charbonnier, M Cornelissen, Y Dagelet, E H Davies, A Van Der Does, G Downward, C Van Drunen, D Gach, M Geelhoed, J Glastra, K Golebski, I Heijink, J Holtjer, S Holverda, L Houweling, J Jacobs, R Jonker, R Kos, R Langen, I Van Der Lee, A Leliveld, F Mohamed Hoesein, A Neerincx, L Noij, J Olsson, M Van De Pol, S Pouwels, E Rolink, M Rutgers, H Șahin, D Schaminee, A Schols, L Schuurman, P Skipp, G Slingers, O Smeenk, B Sondermeijer, M Tamarit, I Verkouter, R Vermeulen, R De Vries, E Weersink, M Van De Werken, Y De Wit-Van De Wijck, S Young, E Nossent, A Maitland-Van Der Zee. ERJ Open Research 2023 9: 68; DOI: 10.1183/23120541.LSC-2023.68 https://openres.ersjournals.com/content/9/suppl_10/68
Imbalance of Peripheral Temperature, Sympathovagal, and Cytokine Profile in Long COVID
Simple Summary:
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Long- COVID and general health status in hospitalized COVID-19 survivors
Abstract:
Despite advances in clinical research, the long-term effects of COVID-19 on patients are not clear. Many studies revealed persistent long-term signs and symptoms. In a survey study, 259 hospitalized confirmed COVID-19 patients between 18 and 59 years were interviewed. Demographic characteristics and complaints were studied through telephone interviews. Any patient-reported symptoms that continued or developed from 4 weeks up to 12 weeks after the onset of the disease were recorded only if they did not exist prior to infection.
The 12-Item General Health Questionnaire was used for screening and assessing mental symptoms and psychosocial well-being. The mean age of participants was 43.8 ± 9.9 years. About 37% had at least one underlying disease. 92.5% showed ongoing symptoms that the most prevalent complications were hair loss (61.4%), fatigue (54.1%), shortness of breath (40.2%), altered smell (34.4%), and aggression (34.4%), respectively. In terms of factors affecting patients’ complaints, there were significant differences between age, sex, and underlying disease with long-remaining complications. This study shows a high rate of long COVID-19 conditions that should be considered by physicians, policymakers, and managers.
Source: Mohtasham-Amiri, Z., Keihanian, F., Rad, E.H. et al. Long- COVID and general health status in hospitalized COVID-19 survivors. Sci Rep 13, 8116 (2023). https://doi.org/10.1038/s41598-023-35413-z (Full study)
Long COVID is primarily a Spike protein Induced Thrombotic Vasculitis
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Source: Kerr R, Carroll HA. Long COVID is primarily a Spike protein Induced Thrombotic Vasculitis. Research Square; 2023. DOI: 10.21203/rs.3.rs-2939263/v1. https://assets.researchsquare.com/files/rs-2939263/v1_covered_7190a867-1475-4b57-b220-716a953649f1.pdf?c=1684433225 (Full text)
Biological mechanisms underpinning the development of Long COVID
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As COVID-19 evolves from a pandemic to an endemic disease, the already staggering number of people that have been or will be infected with SARS-COV-2 is only destined to increase, and the majority of humanity will be infected. It is well understood that COVID-19, like many other viral infections, leaves a significant fraction of the infected with prolonged consequences.
Continued high number of SARS-CoV-2 infections, viral evolution with escape from post-infection and vaccinal immunity, and reinfections heighten the potential impact of Long COVID. Hence, the impact of COVID-19 on human health will be seen for years to come until more effective vaccines and pharmaceutical treatments become available.
To that effect, it is imperative that the mechanisms underlying the clinical manifestations of Long COVID be elucidated. In this article, we provide an in-depth analysis of the evidence on several potential mechanisms of Long COVID and discuss their relevance to its pathogenesis.
Source: Perumal R, Shunmugam L, Naidoo K, Wilkins D, Garzino-Demo A, Brechot C, Vahlne A, Nikolich J. Biological mechanisms underpinning the development of Long COVID. iScience. 2023 May 18:106935. doi: 10.1016/j.isci.2023.106935. Epub ahead of print. PMCID: PMC10193768. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193768/ https://www.cell.com/iscience/pdf/S2589-0042(23)01012-X.pdf?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS258900422301012X%3Fshowall%3Dtrue (Full text)