• COVID-19
• Publicationsclose
• Other research productsclose
• Other ORP type close

Abstract: Background: Information on neurological and psychiatric adverse events following immunization (AEFIs) with COVID-19 vaccines is limited. Research design & methods: We examined and compared neurological and psychiatric AEFIS reports related to BNT162b2 (Pfizer-BioNTech) and ChAdOx1 (Oxford-AstraZeneca) COVID-19 vaccines and recorded in the United Kingdom Medicines and Healthcare products Regulatory Agency between 9 December 2020 and 30 June 2021. Results: As of 30 June 2021, 46.1 million doses of ChAdOx1 and 30.3 million doses of BNT162b2 had been administered. The most frequently reported AEFI was headache with 1,686 and 575 cases per million doses of ChAdOx1 and BNT162b2, respectively. AEFIs more frequently reported after CHAdOx1 compared with BNT162b2 vaccination were Guillain-Barré syndrome (OR, 95% CI = 2.53, 1.82–3.51), freezing (6.66, 3.12–14.22), cluster headache (1.53, 1.28–1.84), migraine (1.23,1.17–1.30), postural dizziness (1.24,1.13–1.37), tremor (2.86, 2.68–3.05), headache (1.40, 1.38–1.43), paresthesia (1.11, 1.06–1.16), delirium (1.85, 1.45–2.36), hallucination (2.20, 1.82–2.66), poor quality sleep (1.53, 1.26–1.85), and nervousness (1.54, 1.26–1.89) Reactions less frequently reported with ChAdOx1 than with BNT162b2 were Bell’s palsy (0.47, 0.41–0.55), anosmia (0.58, 0.47–0.71), facial paralysis (0.35, 0.29– 0.41), dysgeusia (0.68, 0.62–0.73), presyncope (0.48, 0.42–0.55), syncope (0.63, 0.58–0.67), and anxiety (0.75 (0.67–0.85). Conclusion: Neurological and psychiatric AEFIs were relatively infrequent, but each vaccine was associated with a distinctive toxic profile. Plain Language Summary We examined reports on adverse neurological and psychiatric effects following immunization with BNT162b2 (Pfizer-BioNTech) and ChAdOx1 (Oxford-AstraZeneca) for COVID-19 to the United Kingdom Medicines and Healthcare products Regulatory Agency between 9 December 2020 and 30 June 2021. Adverse effects following immunization (AEFIs) were relatively infrequent. Compared to BNT162b2, Guillain-Barré syndrome, freezing phenomenon, cluster headache, migraine, postural dizziness, tremor, headache, paresthesia, delirium, hallucination, poor quality sleep, and nervousness were more frequently reported for ChAdOx1. Reactions less frequently reported for ChAdOx1 than for BNT162b2 were Bell’s palsy, anosmia, facial paralysis, dysgeusia, presyncope, syncope, and anxiety.

The 500-ns CG-MD simulation trajectory towards SARS-CoV-2 virus.

Goal of this model is to identify, if a patient is suffering from COVID-19 or not, based on his / her chest CT. Original images were collected by the authors of this paper. The original images were collected from: http://ictcf.biocuckoo.cn/. Available classes are non-informative CT (NiCT) images where lung parenchyma was not captured for any judgmentnegative CT (nCT) images where imaging features in both lungs were irrelevant to COVID-19 pneumoniapositive CT (pCT) images where imaging features associated with COVID-19 pneumonia could be unambiguously discernedThe model was trained using this script; a summary of its performance can be found here.

This model has been invalidated.

Noticia publicada en la web del ISCIII el 29/03/2023. Un equipo del Instituto de Salud Carlos III (ISCIII) ha publicado un artículo en la revista Journal of Medical Virology que revela los resultados de una investigación sobre los efectos de la infección por SARS-CoV-2 en el desarrollo de la inmunidad humoral, es decir, la generada por anticuerpos. El estudio analiza la respuesta inmunitaria frente a diferentes variantes del coronavirus, incluyendo Ómicron, en personas vacunadas contra la COVID-19. Sus conclusiones sugieren que un mecanismo de maduración de los anticuerpos neutralizantes -una de las defensas del sistema inmunitario- puede causar el efecto positivo de separar durante cierto tiempo la vacunación tras una infección natural. No

In its current state, the assessment of differing proteomes between normal individuals and those experiencing different pathologies has been limited to analyzing the global changes. In this study, the authors utilized mass spectrometry-based proteomics to determine the abundance of protein levels at specific organ sites between COVID-19 samples and a control cohort. They determined that representative markers of panels for coagulation, platelets, plasma and red blood cells strongly influenced the assessed protein abundance in a number of other tissues, contributing to at least 50% of the intensity of the signal. The paper collectively refers to this as circulatory-mediated proteome masking. These markers became used to distinguish organ-specific effects from systemic effects. With these adjustments incorporated into their analysis, the researchers identified a number of findings. In the lungs, they identified an upregulation of nicotinamide N-methyltransferase (NNMT), fibroblast growth factor receptor substrate 3 (FRS3), and the negative regulator of collagen production Reticulocalbin-3 (RCN3), among many others. Additionally, they noted significant differences between the lung proteomes of COVID-19 patients and patients of other lung pathologies, with a minimum fold-change 1.5 at a q-value of 0.05. The paper also analyzed the phosphorylation pathways and identified significant differences between the phosphoproteomes of their control groups as compared with COVID-19 patients. In the lymph nodes, they noted an upregulation of CDK2, RecQ-like DNA helicase BLM, RAD9A, ORC ¾, Nucleoporin Nup37, and other proteins associated with cell cycle regulation. The brain indicated upregulation of a number of neurotransmitters, including HOMER1, RYR2, GNAL and many others. A comprehensive list of all upregulations the researchers found throughout each organ-system may be found in the paper itself. The limitations of this paper arise in various aspects of their methods and systems that I will discuss below. The paper should be more clear in how it defines 'organ-specific' changes. The proteomes of many organ systems are influenced by hormones and neurotransmitters produced in the brain and many glands. If the levels of these proteins are impacted by COVID-19, it will impact the levels of proteins in other organ systems. It is vital to be clear as to whether these changes are accounted for when identifying organ-specific changes. The nature of this is important in understanding the accuracy of their data as 'organ-specific.' A recent paper chronicling the development of a comprehensive proteome (PMID: 32916130), discussed an underdetection of membrane proteins and secreted proteins. If hormone levels are being underdetected in their MS-based model, that may influence their results. It may be important to address this.The paper is detailed in its discussion of differences in the phosphoproteome they found between COVID-19 patients and their control group. However, I believe that the authors should also clarify whether their MS-based model can differentiate between active and inactive forms of different proteins beyond phosphorylation. Additionally, they could note whether their model can identify proteins that are bound to other proteins. For example, thiiodothyronine (T3 hormone) can exist as a normal version which is active and a reverse version which is inactive. Additionally, it may be bound by a protein known as thyroxine-binding globulin. A clear picture of protein levels that account for these factors is important to create an accurate understanding of which proteins are upregulated.The paper provides a strong discussion comparing the proteomes of COVID-19 patients and patients with other lung conditions. However, they noted that these samples were derived from autopsies at the University Medical Center Augsburg from April to May 2020 (PMID: 32437497). They followed guidelines set by previous research that developed these samples (PMID: 32437497), which stated that autopsies happen within 24 hours of the patient's time of death. These tissues were preserved using a formalin-fixed, paraffin-embedded (FFPE) method. Meanwhile, the researchers obtained their control samples from currently living healthy donors and patients with lung conditions. However, it is important to note that protein levels can shift in a few hours due to changes in external stimulus. Simple actions such as breathing can alter the proteome of the body. The samples taken from the post-mortem COVID-19 patients have an absence of these external stimuli, which is inconsistent with the control cohort. This could be another possible explanation for certain alterations in the proteome that may not necessarily be attributable to COVID-19. It is important for the researchers to address this possibility within their paper. Rating:Reliable. The main study claims are generally justified by the data and analytic methods used. There are some reservations that may need to be addressed. The study produced results and conclusions that are novel and provide new insight into the proteomics involved in COVID-19. The study's main claims should be considered actionable with limitations. Competing interests The author declares that they have no competing interests.

Data management plan for COVRIN

Datasets and scripts to perform a time-resolved parameterization of a modified SEIRD model to analyze and forecast the dynamics of state-specific COVID-19 outbreaks in the United States

PADA Mac 2020, dunia telah dikejutkan dengan penularan wabak coronavirus atau COVID-19. Perintah berkurung dan kawalan pergerakan telah dikuatkuasakan, semua aktiviti perniagaan dihentikan buat sementara waktu di seluruh dunia sebagai langkah untuk membendung penularan wabak ini. Penularan wabak COVID-19 ini bukan sahaja memberi impak kepada tahap kesihatan dunia yang tidak mempunyai persediaan secukupnya untuk menghadapi penularan wabak ini pada ketika itu, malah turut menjejaskan ekonomi global termasuk dua kuasa ekonomi terbesar iaitu China dan Amerika Syarikat. Perintah kawalan berkurung dan penutupan sesetengah industri dari beroperasi secara bersemuka terutamanya pelancongan, perkhidmatan, pendidikan dan perniagaan semasa penularan wabak COVID-19 telah menggalakkan perkembangan norma baharu iaitu peralihan dari platform konvensional kepada digital. Umum kita ketahui bahawa kini, pelbagai aktiviti dapat dijalankan secara atas talian dan telah menjadi sebahagian daripada kehidupan dalam kalangan masyarakat di seluruh dunia.

This article is wonderful. Competing interests The author declares that they have no competing interests.