Tag: covid-19

Persistent serum protein signatures define an inflammatory subcategory of long COVID

Abstract:

Long COVID or post-acute sequelae of SARS-CoV-2 (PASC) is a clinical syndrome featuring diverse symptoms that can persist for months following acute SARS-CoV-2 infection. The aetiologies may include persistent inflammation, unresolved tissue damage or delayed clearance of viral protein or RNA, but the biological differences they represent are not fully understood. Here we evaluate the serum proteome in samples, longitudinally collected from 55 PASC individuals with symptoms lasting ≥60 days after onset of acute infection, in comparison to samples from symptomatically recovered SARS-CoV-2 infected and uninfected individuals.

Our analysis indicates heterogeneity in PASC and identified subsets with distinct signatures of persistent inflammation. Type II interferon signaling and canonical NF-κB signaling (particularly associated with TNF), appear to be the most differentially enriched signaling pathways, distinguishing a group of patients characterized also by a persistent neutrophil activation signature.

These findings help to clarify biological diversity within PASC, identify participants with molecular evidence of persistent inflammation, and highlight dominant pathways that may have diagnostic or therapeutic relevance, including a protein panel that we propose as having diagnostic utility for differentiating inflammatory and non-inflammatory PASC.

Source: Talla, A., Vasaikar, S.V., Szeto, G.L. et al. Persistent serum protein signatures define an inflammatory subcategory of long COVID. Nat Commun 14, 3417 (2023). https://doi.org/10.1038/s41467-023-38682-4 https://www.nature.com/articles/s41467-023-38682-4 (Full text)

New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies

Abstract:

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in children and adolescents may increase risk for a variety of post-acute sequelae including new-onset type 1 diabetes mellitus (T1DM). Therefore, this meta-analysis aims to estimate the risk of developing new-onset type 1 diabetes in children and adolescents as post-acute sequelae of SARS-CoV-2 infection.

PubMed/MEDLINE, CENTRAL, and EMBASE were systematically searched up to March 20, 2023. A systematic review and subsequent meta-analyses were performed to calculate the pooled effect size, expressed as risk ratio (RR) with corresponding 95% confidence interval (CI) of each outcome based on a one-stage approach and the random-effects estimate of the pooled effect sizes of each outcome were generated with the use of the DerSimonian-Laird method. Eight reports from seven studies involving 11 220 530 participants (2 140 897 patients with a history of diagnosed SARS-CoV-2 infection and 9 079 633 participants in the respective control groups) were included. The included studies reported data from four U.S. medical claims databases covering more than 503 million patients (IQVIA, HealthVerity, TriNetX, and Cerner Real-World Data), and three national health registries for all children and adolescents in Norway, Scotland, and Denmark.

It was shown that the risk of new-onset T1DM following SARS-CoV-2 infection in children and adolescents was 42% (95% CI 13%-77%, p = 0.002) higher compared with non-COVID-19 control groups. The risk of developing new-onset T1DM following SARS-CoV-2 infection was significantly higher (67%, 95% CI 32 %-112%, p = 0.0001) in children and adolescents between 0 and 11 years, but not in those between 12 and 17 years (RR = 1.10, 95% CI 0.54-2.23, p = 0.79). We also found that the higher risk for developing new-onset T1DM following SARS-CoV-2 infection only exists in studies from the United States (RR = 1.70, 95% CI 1.37-2.11, p = 0.00001) but not Europe (RR = 1.02, 95% CI 0.67-1.55, p = 0.93). Furthermore, we found that SARS-CoV-2 infection was associated with an elevation in the risk of diabetic ketoacidosis (DKA) in children and adolescents compared with non-COVID-19 control groups (RR = 2.56, 95% CI 1.07-6.11, p = 0.03).

Our findings mainly obtained from US medical claims databases, suggest that SARS-CoV-2 infection is associated with higher risk of developing new-onset T1DM and diabetic ketoacidosis in children and adolescents. These findings highlight the need for targeted measures to raise public health practitioners and physician awareness to provide intervention strategies to reduce the risk of developing T1DM in children and adolescents who have had COVID-19.

Source: Rahmati M, Yon DK, Lee SW, Udeh R, McEVoy M, Kim MS, Gyasi RM, Oh H, López Sánchez GF, Jacob L, Li Y, Koyanagi A, Shin JI, Smith L. New-onset type 1 diabetes in children and adolescents as postacute sequelae of SARS-CoV-2 infection: A systematic review and meta-analysis of cohort studies. J Med Virol. 2023 Jun;95(6):e28833. doi: 10.1002/jmv.28833. PMID: 37264687. https://onlinelibrary.wiley.com/doi/10.1002/jmv.28833

Long COVID Clinical Phenotypes Up to Six Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms

Abstract:

Background: The prevalence, incidence, and interrelationships of persistent symptoms after SARS-CoV-2 infection (Long COVID) vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present three months and six months after acute infection.

Methods: This was a multicenter, prospective study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to six-months post-diagnosis. Using LCA, we identified symptomatically homogenous groups among participants with COVID-19 (COVID-positive) and among others without COVID-19 (COVID-negative) at each time period for both general and fatigue-related symptoms.

Results: Among 5,963 baseline participants (4,504 COVID-positive and 1,459 COVID-negative), 4,056 had three-month and 2,856 had six-month data at the time of analysis. We identified four distinct phenotypes of post-COVID conditions at three- and six-months for both general and fatigue-related symptoms; minimal symptom groups represented 70% of participants at three and six months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste and smell, as well cognition problems. There was substantial class-switching over time; those in one symptom class at three months were equally likely to remain or enter a new phenotype at six months.

Conclusions: We identified distinct classes of post-COVID phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at three and six months follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that post-COVID conditions may have a more dynamic nature than previously recognized.

Source: Michael Gottlieb, MD and others, Long COVID Clinical Phenotypes Up to Six Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms, Open Forum Infectious Diseases, 2023;, ofad277, https://doi.org/10.1093/ofid/ofad277 (Full text available as PDF file)

The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome

Abstract:

Background: Post-COVID-19 syndrome (PCS) shares many features with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). PCS represents a major health issue worldwide because it severely impacts patients’ work activities and their quality of life. In the absence of treatment for both conditions and given the beneficial effect of pacing strategies in ME/CFS, we conducted this study to assess the effectiveness of pacing in PCS patients.

Methods: We retrospectively included patients meeting the World Health Organization definition of PCS who attended the Internal Medicine Department of Angers University Hospital, France between June 2020 and June 2022, and were followed up until December 2022. Pacing strategies were systematically proposed for all patients. Their medical records were reviewed and data related to baseline and follow-up assessments were collected. This included epidemiological characteristics, COVID-19 symptoms and associated conditions, fatigue features, perceived health status, employment activity, and the degree of pacing adherence assessed by the engagement in pacing subscale (EPS). Recovery was defined as the ability to return to work, and improvement was regarded as the reduction of the number and severity of symptoms.

Results: A total of 86 patients were included and followed-up for a median time of 10 [6-13] months. Recovery and improvement rates were 33.7% and 23.3%, respectively. The EPS score was the only variable significantly associated with recovery on multivariate analysis (OR 40.43 [95% CI 6.22-262.6], p < 0.001). Patients who better adhered to pacing (high EPS scores) experienced significantly higher recovery and improvement rates (60-33.3% respectively) than those with low (5.5-5.5% respectively), or moderate (4.3-17.4% respectively) scores.

Conclusion: Our findings demonstrated that pacing is effective in the management of patients with PCS, and that high levels of adherence to pacing are associated with better outcomes.

Source: Ghali A, Lacombe V, Ravaiau C, Delattre E, Ghali M, Urbanski G, Lavigne C. The relevance of pacing strategies in managing symptoms of post-COVID-19 syndrome. J Transl Med. 2023 Jun 8;21(1):375. doi: 10.1186/s12967-023-04229-w. PMID: 37291581; PMCID: PMC10248991. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248991/ (Full text)

Analysis of tumor progression among patients with glioma after COVID-19 infection

Background: As of January 2023, there have been 6.7 million worldwide deaths attributed to SARS-CoV-2 COVID-19, which has impacted outcomes and medical care for all patients. Relatively little is known about the direct effects mediated by the virus on CNS tumor biology, despite the fact that viral neurotropism is well described, various coronavirus receptors have been observed in glioblastoma (GBM) tissues, and differential monocytic infiltration has been proposed to dysregulate the immune microenvironment. We detected a trend of rapid progression following COVID-19 infection among several patients with primary brain tumor patients and sought to systematically evaluate the pace of progression among infected patients in our institution.

Methods: A single-institutional database of COVID-19 patients and an electronic medical record (EMR) search tool were used to identify a total cohort of 67 patients with glioma for retrospective analysis. This included 38 GBMs, 18 IDH-mutant gliomas, 5 ependymomas, 2 pilocytic astrocytomas, 1 diffuse midline glioma, 1 diffuse hemispheric glioma, and 1 ganglioglioma patients, each of whom had a documented COVID-19 infection between June 2020-December 2022. Hyperprogression was defined as tumor increase ≥40% compared to previous scan using RECIST size criteria.

Results: Thirty-nine (58%) patients experienced tumor progression following COVID-19 infection at a median of 34 days (range=1-734 days) after testing positive for COVID-19. Twenty-two (56%) had received COVID-19 vaccine before their infection and 5 (13%) had asymptomatic infections. Twenty-two patients had measurably increased tumor area by a median of 63% (range=10-2,900%), 18 of which constituted hyperprogression;16 patients developed multifocal disease, 8 developed new nodular enhancement, 3 developed leptomeningeal disease (LMD), and 2 experienced increased infiltrative disease alone. Ten patients’ presentation with new glioma was preceded by COVID-19 infection by a median of 31 days. GBM patients represented the majority of progression events, among whom 59% progressed within 60 days of documented infection (median 25 days). This subgroup of GBM with rapid progression within 60 days had a mOS from infection of 5.2 months; 89% had TERT promotor mutations and 42% had MGMT promoter methylation.

Conclusions: Glioma patients appear to have disease progression at an accelerated pace in the first two months after COVID-19 infection. This suggests that glioma patients should continue observing strict precautions to prevent infection and should be clinically monitored vigilantly after infection, with consideration for short interval imaging during treatment. These preliminary data warrant further investigation exploring changes of immune cell infiltration in the tumor microenvironment and the possible correlation between tumor progression and COVID-19.

Source: Tim Gregory, Stephanie Knight, Ashley Aaroe, Barbara Jane O’Brien, Chirag B Patel, Shiao-Pei S. Weathers, Nazanin Majd, Vinay K. Puduvalli, and Carlos Kamiya-Matsuoka. Analysis of tumor progression among patients with glioma after COVID-19 infection.
Journal of Clinical Oncology 2023 41:16_suppl, 2041-2041 https://ascopubs.org/action/showCitFormats?doi=10.1200/JCO.2023.41.16_suppl.2041

Long-COVID: A Chronic Fatigue Condition: Case Report

Abstract:

For the growing number of patients suffering from post-COVID-19 syndrome, there is little definitive guidance for treatment protocols or prognosis. Neurologic manifestations following acute COVID-19 infection are continually surfacing in the literature, with fatigue being the most common persistent symptom.

This case study follows a 44-year-old female experiencing debilitating fatigue and neurologic symptoms persisting after the resolution of an acute SARS-COV-2 infection. The complex medical history of this patient, including past Epstein-Barr Virus (EBV) infection and Myalgic Encephalomyelitis, commonly known as Chronic Fatigue Syndrome, suggests a potential predisposition for the development of neurologic long-COVID.

Through investigation of current research and treatment responses, this case report aims to gain an understanding of the complicated nature of this illness, and to propose treatments that address this specific subset of post-acute SARS-COV-2 sequelae.

Source: Lavelle , M., & Brusewitz , N. D. J. (2023). Long-COVID: A Chronic Fatigue Condition: Case Report. Journal of Complementary and Alternative Medical Research, 22(3), 1–7. https://doi.org/10.9734/jocamr/2023/v22i3457 http://stmlibrary.uk/id/eprint/2217/1/Lavelle2232023JOCAMR100443.pdf (Full text)

SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity

Abstract:

Numerous viruses use specialized surface molecules called fusogens to enter host cells. Many of these viruses, including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), can infect the brain and are associated with severe neurological symptoms through poorly understood mechanisms.

We show that SARS-CoV-2 infection induces fusion between neurons and between neurons and glia in mouse and human brain organoids. We reveal that this is caused by the viral fusogen, as it is fully mimicked by the expression of the SARS-CoV-2 spike (S) protein or the unrelated fusogen p15 from the baboon orthoreovirus.

We demonstrate that neuronal fusion is a progressive event, leads to the formation of multicellular syncytia, and causes the spread of large molecules and organelles. Last, using Ca2+ imaging, we show that fusion severely compromises neuronal activity. These results provide mechanistic insights into how SARS-CoV-2 and other viruses affect the nervous system, alter its function, and cause neuropathology.

Source: Ramón Martínez-Mármol et al, SARS-CoV-2 infection and viral fusogens cause neuronal and glial fusion that compromises neuronal activity., Science Advances (2023). DOI: 10.1126/sciadv.adg2248. www.science.org/doi/10.1126/sciadv.adg2248 (Full text)

Use Of Total-Body Pet Imaging To Identify Deep-Tissue Sars-Cov-2 Viral Reservoirs And T Cell Responses In Patients With Long Covid

Project Summary:

This study is the first in the world to use advanced imaging technologies to identify deep tissue SARS-CoV-2 reservoirs and T cell activity in LongCovid study participants. Specifically the team will use longitudinal ImmunoPET-CT imaging of radiolabeled SARS-CoV-2-specific monoclonal antibodies (mAbs) to identify SARS-CoV-2 tissue reservoirs in individuals with Long COVID. The project team is also using ImmunoPET-CT imaging to identify the spatial and temporal dynamics of tissue-based T cell activity in Long COVID study participants.

Tissue biopsy samples from the lymph node and gut will also be collected from Long COVID study participants undergoing imaging. These tissue samples will be analyzed for SARS-CoV-2 RNA, spike, and nucleocapsid proteins, other chronic viruses (e.g., Epstein-Barr virus and cytomegalovirus), and cellular immune responses. Data collected on the tissue samples will be correlated with the imaging data, so that potential viral reservoirs and T cell activity in study participants can be validated by overlapping methods.

Read full article HERE.

Long-term implications of COVID-19 on bone health: pathophysiology and therapeutics

Abstract:

Background: SARS-CoV-2 is a highly infectious respiratory virus associated with coronavirus disease (COVID-19). Discoveries in the field revealed that inflammatory conditions exert a negative impact on bone metabolism; however, only limited studies reported the consequences of SARS-CoV-2 infection on skeletal homeostasis. Inflammatory immune cells (T helper—Th17 cells and macrophages) and their signature cytokines such as interleukin (IL)-6, IL-17, and tumor necrosis factor-alpha (TNF-α) are the major contributors to the cytokine storm observed in COVID-19 disease. Our group along with others has proven that an enhanced population of both inflammatory innate (Dendritic cells—DCs, macrophages, etc.) and adaptive (Th1, Th17, etc.) immune cells, along with their signature cytokines (IL-17, TNF-α, IFN-γ, IL-6, etc.), are associated with various inflammatory bone loss conditions. Moreover, several pieces of evidence suggest that SARS-CoV-2 infects various organs of the body via angiotensin-converting enzyme 2 (ACE2) receptors including bone cells (osteoblasts—OBs and osteoclasts—OCs). This evidence thus clearly highlights both the direct and indirect impact of SARS-CoV-2 on the physiological bone remodeling process. Moreover, data from the previous SARS-CoV outbreak in 2002–2004 revealed the long-term negative impact (decreased bone mineral density—BMDs) of these infections on bone health.

Methodology: We used the keywords “immunopathogenesis of SARS-CoV-2,” “SARS-CoV-2 and bone cells,” “factors influencing bone health and COVID-19,” “GUT microbiota,” and “COVID-19 and Bone health” to integrate the topics for making this review article by searching the following electronic databases: PubMed, Google Scholar, and Scopus.

Conclusion: Current evidence and reports indicate the direct relation between SARS-CoV-2 infection and bone health and thus warrant future research in this field. It would be imperative to assess the post-COVID-19 fracture risk of SARS-CoV-2-infected individuals by simultaneously monitoring them for bone metabolism/biochemical markers. Importantly, several emerging research suggest that dysbiosis of the gut microbiota—GM (established role in inflammatory bone loss conditions) is further involved in the severity of COVID-19 disease. In the present review, we thus also highlight the importance of dietary interventions including probiotics (modulating dysbiotic GM) as an adjunct therapeutic alternative in the treatment and management of long-term consequences of COVID-19 on bone health.

Source: Sapra L, Saini C, Garg B, Gupta R, Verma B, Mishra PK, Srivastava RK. Long-term implications of COVID-19 on bone health: pathophysiology and therapeutics. Inflamm Res. 2022 Sep;71(9):1025-1040. doi: 10.1007/s00011-022-01616-9. Epub 2022 Jul 28. PMID: 35900380; PMCID: PMC9330992. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330992/ (Full text)

The plasma metabolome of long COVID-19 patients two years after infection

Abstract:

Background One of the major challenges currently faced by global health systems is the prolonged COVID-19 syndrome (also known as “long COVID”) which has emerged as a consequence of the SARS-CoV-2 epidemic. The World Health Organization (WHO) recognized long COVID as a distinct clinical entity in 2021. It is estimated that at least 30% of patients who have had COVID-19 will develop long COVID. This has put a tremendous strain on still-overstretched healthcare systems around the world.

Methods In this study, our goal was to assess the plasma metabolome in a total of 108 samples collected from healthy controls, COVID-19 patients, and long COVID patients recruited in Mexico between 2020 and 2022. A targeted metabolomics approach using a combination of LC-MS/MS and FIA MS/MS was performed to quantify 108 metabolites. IL-17 and leptin concentrations were measured in long COVID patients by immunoenzymatic assay.

Results The comparison of paired COVID-19/post-COVID-19 samples revealed 53 metabolites that were statistically different (FDR < 0.05). Compared to controls, 29 metabolites remained dysregulated even after two years. Notably, glucose, kynurenine, and certain acylcarnitines continued to exhibit altered concentrations similar to the COVID-19 phase, while sphingomyelins and long saturated and monounsaturated LysoPCs, phenylalanine, butyric acid, and propionic acid levels normalized. Post-COVID-19 patients displayed a heterogeneous metabolic profile, with some showing no symptoms while others exhibiting a variable number of symptoms. Lactic acid, lactate/pyruvate ratio, ornithine/citrulline ratio, sarcosine, and arginine were identified as the most relevant metabolites for distinguishing patients with more complicated long COVID evolution. Additionally, IL-17 levels were significantly increased in these patients.

Conclusions Mitochondrial dysfunction, redox state imbalance, impaired energy metabolism, and chronic immune dysregulation are likely to be the main hallmarks of long COVID even two years after acute COVID-19 infection.

Source: Yamilé López-Hernández, Joel Monárrez Aquino, David Alejandro García López, Jiamin Zheng, Juan Carlos Borrego, Claudia Torres-Calzada, José Pedro Elizalde-Díaz, Rupasri Mandal, Mark Berjanskii, Eduardo Martínez-Martínez, Jesús Adrián López, David S. Wishart. The plasma metabolome of long COVID-19 patients two years after infection. doi: https://doi.org/10.1101/2023.05.03.23289456 (Full text)