A bioactive peptide from the pearl has dual roles in resisting SARS-CoV-2 infection and its complications (preprint)

Angiotensin-converting enzyme 2 (ACE2) is a critical receptor for the entry of the SARS-CoV-2 virus into cells. Moreover, a decrease in ACE2 level and its activity due to SARS-CoV-2 infection is considered a crucial reason for the development of Covid-19-associated complications. Here, we report a bioactive peptide derived from the seawater pearl oyster Pinctada fucata, named SCOL polypeptide, which binds strongly to ACE2 and effectively inhibits 65% of the binding of the SARS-CoV-2 S protein to ACE2; thus, this peptide can be used as a blocker to enable cells to resist SARS-CoV-2 infection. The SCOL polypeptide also increases ACE2 enzyme activity by 3.76 times. Previous studies have shown that ACE2 deficiency is associated with inflammation, pain, cardiovascular diseases, insulin resistance, and nervous system injury. Therefore, the SCOL polypeptide can be used to treat or alleviate complications such as lung inflammation, pain, diabetes, cardiovascular diseases, and loss of taste or smell caused by SARS-CoV-2 infection. Thus, the SCOL polypeptide can play a dual role in resisting SARS-CoV-2 infection.

Did long COVID increase road deaths in the U.S.? (preprint)

Objective To examine data on COVID-19 disease associated with a 10 percent increase in U.S. road deaths from 2020 to 2021 that raises the question of the potential effect of pandemic stress and neurological damage from COVID-19 disease. Methods Poisson regression was used to estimate the association of recent COVID-19 cases, accumulated cases, maximum temperatures, truck registrations, and gasoline prices with road deaths monthly among U.S. states in 2021. Using the regression coefficients, changes in each risk factor from 2020 to 2021 were used to calculate expected deaths in 2021 if each factor had remained the same as in 2020. Results Corrected for the other risk factors, road deaths were associated with accumulated COVID-19 cases but not cases in the previous month More than 20,700 road deaths were associated with the changes in accumulated COVID-19 cases but were substantially offset by about 19,100 less-than-expected deaths associated with increased gasoline prices. Conclusions While more research is needed, the data are sufficient to warn people with long COVID to minimize driving.

Impact of age and sex on neuroinflammation following SARS-CoV-2 infection in a murine model (preprint)

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the etiological agent for the worldwide COVID-19 pandemic, is known to infect people of all ages and both sexes. Senior populations have the greatest risk of severe disease, and sexual dimorphism in clinical outcomes has been reported in COVID-19. SARS-CoV-2 infection in humans can cause damage to multiple organ systems, including the brain. Neurological symptoms are widely observed in patients with COVID-19, with many survivors suffering from persistent neurological and cognitive impairment, potentially accelerating Alzheimer's disease. The present study aims to investigate the impact of age and sex on the neuroinflammatory response to SARS-CoV-2 infection using a mouse model. Wild-type C57BL/6 mice were inoculated, by intranasal route, with SARS-CoV-2 lineage B.1.351 variant known to infect mice. Older animals and in particular males exhibited a significantly greater weight loss starting at 4 dpi. In addition, male animals exhibited higher viral RNA loads and higher titers of infectious virus in the lung, which was particularly evident in males at 16 months of age. Notably, no viral RNA was detected in the brains of infected mice, regardless of age or sex. Nevertheless, expression of IL-6, TNF-, and CCL-2 in the lung and brain was increased with viral infection. An unbiased brain RNA-seq/transcriptomic analysis showed that SARS-CoV-2 infection caused significant changes in gene expression profiles in the brain, with innate immunity, defense response to virus, cerebravascular and neuronal functions, as the major molecular networks affected. The data presented in this study show that SARS-CoV-2 infection triggers a neuroinflammatory response despite the lack of detectable virus in the brain. Age and sex have a modifying effect on this pathogenic process. Aberrant activation of innate immune response, disruption of blood-brain barrier and endothelial cell integrity, and supression of neuronal activity and axonogenesis underlie the impact of SARS-CoV-2 infection on the brain. Understanding the role of these affected pathways in SARS-CoV-2 pathogenesis helps identify appropriate points of therapeutic interventions to alleviate neurological dysfunction observed during COVID-19.

Prolonged exposure to lung-derived cytokines is associated with inflammatory activation of microglia in patients with COVID-19 (preprint)

Neurological impairment is the most common finding in patients with post-acute sequelae of COVID-19. Furthermore, survivors of pneumonia from any cause have an elevated risk of dementia. Dysfunction in microglia, the primary immune cell in the brain, has been linked to cognitive impairment in murine models of dementia and in humans. Here, we report a transcriptional response in human microglia collected from patients who died following COVID-19 suggestive of their activation by TNF- and other circulating pro-inflammatory cytokines. Consistent with these findings, the levels of 55 alveolar and plasma cytokines were elevated in a cohort of 341 patients with respiratory failure, including 93 unvaccinated patients with COVID-19 and 203 patients with other causes of pneumonia. While peak levels of pro-inflammatory cytokines were similar in patients with pneumonia irrespective of etiology, cumulative cytokine exposure was higher in patients with COVID-19. Corticosteroid treatment, which has been shown to be beneficial in patients with COVID-19, was associated with lower levels of CXCL10, CCL8, and CCL2 - molecules that sustain inflammatory circuits between alveolar macrophages harboring SARS-CoV-2 and activated T cells. These findings suggest that corticosteroids may break this cycle and decrease systemic exposure to lung-derived cytokines and inflammatory activation of microglia in patients with COVID-19.

Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality (preprint)

As the world emerges from the COVID-19 pandemic, there is an urgent need to understand patient factors that may be used to predict the occurrence of severe cases and patient mortality. Approximately 20% of SARS-CoV-2 infections lead to acute respiratory distress syndrome caused by the harmful actions of inflammatory mediators. Patients with severe COVID-19 are often afflicted with neurologic symptoms, and individuals with pre-existing neurodegenerative disease have an increased risk of severe COVID-19. Although collectively, these observations point to a bidirectional relationship between severe COVID-19 and neurologic disorders, little is known about the underlying mechanisms. Here, we analyzed the electronic health records of 471 patients with severe COVID-19 to identify clinical characteristics most predictive of mortality. Feature discovery was conducted by training a regularized logistic regression classifier that serves as a machine-learning model with an embedded feature selection capability. SHAP analysis using the trained classifier revealed that a small ensemble of readily observable clinical features, including characteristics associated with cognitive impairment, could predict in-hospital mortality with an accuracy greater than 0.85 (expressed as the area under the ROC curve of the classifier). These findings have important implications for the prioritization of clinical measures used to identify patients with COVID-19 (and, potentially, other forms of acute respiratory distress syndrome) having an elevated risk of death.

Genetic Risk Factors for Severe and Fatigue Dominant Long COVID and Commonalities with ME/CFS Identified by Combinatorial Analysis (preprint)

Background Long COVID is a debilitating chronic condition that has affected over 100 million people globally. It is characterized by a diverse array of symptoms, including fatigue, cognitive dysfunction and respiratory problems. Studies have so far largely failed to identify genetic associations, the mechanisms behind the disease, or any common pathophysiology with other conditions such as ME/CFS that present with similar symptoms. Methods We used a combinatorial analysis approach to identify combinations of genetic variants significantly associated with the development of long COVID and to examine the biological mechanisms underpinning its various symptoms. We compared two subpopulations of long COVID patients from Sano Genetics' Long COVID GOLD study cohort, focusing on patients with severe or fatigue dominant phenotypes. We evaluated the genetic signatures previously identified in an ME/CFS population against this long COVID population to understand similarities with other fatigue disorders that may be triggered by a prior viral infection. Finally, we also compared the output of this long COVID analysis against known genetic associations in other chronic diseases, including a range of metabolic and neurological disorders, to understand the overlap of pathophysiological mechanisms. Results Combinatorial analysis identified 73 genes that were highly associated with at least one of the long COVID populations included in this analysis. Of these, 9 genes have prior associations with acute COVID-19, and 14 were differentially expressed in a transcriptomic analysis of long COVID patients. A pathway enrichment analysis revealed that the biological pathways most significantly associated with the 73 long COVID genes were mainly aligned with neurological and cardiometabolic diseases. Expanded genotype analysis suggests that specific SNX9 genotypes are a significant contributor to the risk of or protection against severe long COVID infection, but that the gene-disease relationship is context dependent and mediated by interactions with KLF15 and RYR3. Comparison of the genes uniquely associated with the Severe and Fatigue Dominant long COVID patients revealed significant differences between the pathways enriched in each subgroup. The genes unique to Severe long COVID patients were associated with immune pathways such as myeloid differentiation and macrophage foam cells. Genes unique to the Fatigue Dominant subgroup were enriched in metabolic pathways such as MAPK/JNK signaling. We also identified overlap in the genes associated with Fatigue Dominant long COVID and ME/CFS, including several involved in circadian rhythm regulation and insulin regulation. Overall, 39 SNPs associated in this study with long COVID can be linked to 9 genes identified in a recent combinatorial analysis of ME/CFS patient from UK Biobank. Among the 73 genes associated with long COVID, 42 are potentially tractable for novel drug discovery approaches, with 13 of these already targeted by drugs in clinical development pipelines. From this analysis for example, we identified TLR4 antagonists as repurposing candidates with potential to protect against long term cognitive impairment pathology caused by SARS-CoV-2. We are currently evaluating the repurposing potential of these drug targets for use in treating long COVID and/or ME/CFS. Conclusion This study demonstrates the power of combinatorial analytics for stratifying heterogeneous populations in complex diseases that do not have simple monogenic etiologies. These results build upon the genetic findings from combinatorial analyses of severe acute COVID-19 patients and an ME/CFS population and we expect that access to additional independent, larger patient datasets will further improve the disease insights and validate potential treatment options in long COVID.

A Systematic Review of Diffusion Microstructure Imaging (Dmi): Current and Future Applications in Neurology Research (preprint)

Background: Diffusion microstructure imaging (DMI) is a novel diffusion magnetic resonance imaging (MRI) technique that provides rich estimates of microscopic tissue properties, such as axon morphologies and fiber configurations. DMI has potential applications in neurology, where various diseases and disorders affect the brain tissue's microstructure and connectivity.Objectives: To investigate the current and future applications of DMI in neurology, covering various diseases and disorders such as brain tumors and metastases, Parkinson's syndromes, COVID-19-related neurological symptoms, temporal lobe epilepsy, and acute ischemic stroke.Methods: The PRISMA 2020 statement was followed. Four electronic databases were searched from inception to May the 5th 2023. Two reviewers independently screened, selected, and extracted data from the eligible studies.Results: Seven studies were included in the review. The studies showed that DMI can differentiate between various neurological diseases or disorders based on alterations in brain tissue microstructure and connectivity. The studies also showed that DMI can be superior to conventional diffusion imaging techniques, such as diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI), in detecting subtle differences between pathological conditions.Conclusions: DMI is a powerful diffusion imaging technique that can provide rich estimates of microscopic tissue properties and differentiate between various neurological diseases or disorders. However, more research is needed to compare DMI with other imaging modalities or clinical measures and to evaluate longitudinal changes or treatment effects using DMI in neurological diseases or disorders.

Long-term outcomes of hospitalized SARS-CoV-2/COVID-19 patients with and without neurological involvement: 3-year follow-up assessment (preprint)

Background and ObjectivesAcute neurological manifestations are a common complication of acute COVID-19 disease. This study investigated the 3-year outcomes of patients with and without significant neurological manifestations during initial COVID-19 hospitalization. MethodsPatients infected by SARS-CoV-2 between March 1 and April 16, 2020 and hospitalized in the Montefiore Health System in the Bronx, an epicenter of the early pandemic, were included. Follow-up data was captured up to January 23, 2023 (3 years post COVID-19). This cohort consisted of 414 COVID-19 patients with significant neurological manifestations and 1199 propensity-matched COVID- 19 patients without neurological manifestations. Primary outcomes were mortality, stroke, heart attack, major adverse cardiovascular events (MACE), reinfection, and hospital readmission post-discharge. Secondary outcomes were clinical neuroimaging findings (hemorrhage, active stroke, prior stroke, mass effect, and microhemorrhage, white-matter changes, microvascular disease, and volume loss). Predictive models were used to identify risk factors of mortality post-discharge. ResultsMore patients in the neurological cohort were discharged to acute rehabilitation (10.54% vs 3.68%, p<0.0001), skilled nursing facilities (30.67% vs 20.78%, p=0.0002) and fewer to home (55.27% vs 70.21%, p<0.0001) compared to the matched controls. Incidence of readmission for any medical reason (65.70% vs 60.72%, p=0.036), stroke (6.28% vs 2.34%, p<0.0001), and MACE (20.53% vs 16.51%, p=0.032) was higher in the neurological cohort post-discharge. Neurological patients were more likely to die post-discharge (58 (14.01%) vs 94 (7.84%), p=0.0001) compared to controls (HR=2.346, 95% CI=(1.586, 3.470), p<0.0001). The major causes of death post-discharge were heart disease (14.47%), sepsis (13.82%), influenza and pneumonia (11.18%), COVID-19 (8.55%) and acute respiratory distress syndrome (7.89%). Factors associated with mortality after leaving the hospital were belonging to the neurological cohort (OR=1.802 (1.237, 2.608), p=0.002), discharge disposition (OR=1.508, 95% CI=(1.276, 1.775), p<0.0001), congestive heart failure (OR=2.281 (1.429, 3.593), p=0.0004), higher COVID-19 severity score (OR=1.177 (1.062, 1.304), p=0.002), and older age (OR=1.027 (1.010, 1.044), p=0.002). There were no group differences in gross radiological findings, except the neurological cohort showed significantly more age-adjusted brain volume loss (p<0.05) compared to controls. DiscussionCOVID-19 patients with neurological manifestations have worse long-term outcomes compared to matched controls. These findings raise awareness and the need for closer monitoring and timely interventions for COVID-19 patients with neurological manifestations.

Neurologic manifestations associated with COVID-19: a multicentre registry.

OBJECTIVES: To provide an overview of the spectrum, characteristics and outcomes of neurologic manifestations associated with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: We conducted a single-centre retrospective study during the French coronavirus disease 2019 (COVID-19) epidemic in March-April 2020. All COVID-19 patients with de novo neurologic manifestations were eligible. RESULTS: We included 222 COVID-19 patients with neurologic manifestations from 46 centres in France. Median (interquartile range, IQR) age was 65 (53-72) years and 136 patients (61.3%) were male. COVID-19 was severe or critical in 102 patients (45.2%). The most common neurologic diseases were COVID-19-associated encephalopathy (67/222, 30.2%), acute ischaemic cerebrovascular syndrome (57/222, 25.7%), encephalitis (21/222, 9.5%) and Guillain-Barré syndrome (15/222, 6.8%). Neurologic manifestations appeared after the first COVID-19 symptoms with a median (IQR) delay of 6 (3-8) days in COVID-19-associated encephalopathy, 7 (5-10) days in encephalitis, 12 (7-18) days in acute ischaemic cerebrovascular syndrome and 18 (15-28) days in Guillain-Barré syndrome. Brain imaging was performed in 192 patients (86.5%), including 157 magnetic resonance imaging (70.7%). Among patients with acute ischaemic cerebrovascular syndrome, 13 (22.8%) of 57 had multiterritory ischaemic strokes, with large vessel thrombosis in 16 (28.1%) of 57. Brain magnetic resonance imaging of encephalitis patients showed heterogeneous acute nonvascular lesions in 14 (66.7%) of 21. Cerebrospinal fluid of 97 patients (43.7%) was analysed, with pleocytosis found in 18 patients (18.6%) and a positive SARS-CoV-2 PCR result in two patients with encephalitis. The median (IQR) follow-up was 24 (17-34) days with a high short-term mortality rate (28/222, 12.6%). CONCLUSIONS: Clinical spectrum and outcomes of neurologic manifestations associated with SARS-CoV-2 infection were broad and heterogeneous, suggesting different underlying pathogenic processes.

SARS-CoV-2 and the nervous system: current perspectives.

SARS-CoV-2 infection frequently causes neurological impairment in both adults and children. Recent publications have described significant aspects of the viral pathophysiology associated with neurological dysfunction. In theory, neurological manifestations following SARS-CoV-2 infection may be caused directly by the effects of the virus infecting the brain or indirectly by the local and systemic immune responses against the virus. Neurological manifestations can occur during the acute phase as well as in the post-acute phase of the infection. In this review, we discuss recent literature describing the association of nervous system disorders with COVID-19.

The Impact of COVID-19 on People Living with HIV-1 and HIV-1-Associated Neurological Complications.

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative pathogen of the coronavirus disease 2019 (COVID-19) pandemic, a fatal respiratory illness. The associated risk factors for COVID-19 are old age and medical comorbidities. In the current combined antiretroviral therapy (cART) era, a significant portion of people living with HIV-1 (PLWH) with controlled viremia is older and with comorbidities, making these people vulnerable to SARS-CoV-2 infection and COVID-19-associated severe outcomes. Additionally, SARS-CoV-2 is neurotropic and causes neurological complications, resulting in a health burden and an adverse impact on PLWH and exacerbating HIV-1-associated neurocognitive disorder (HAND). The impact of SARS-CoV-2 infection and COVID-19 severity on neuroinflammation, the development of HAND and preexisting HAND is poorly explored. In the present review, we compiled the current knowledge of differences and similarities between SARS-CoV-2 and HIV-1, the conditions of the SARS-CoV-2/COVID-19 and HIV-1/AIDS syndemic and their impact on the central nervous system (CNS). Risk factors of COVID-19 on PLWH and neurological manifestations, inflammatory mechanisms leading to the neurological syndrome, the development of HAND, and its influence on preexisting HAND are also discussed. Finally, we have reviewed the challenges of the present syndemic on the world population, with a particular emphasis on PLWH.

A Brief Overview of Neutrophils in Neurological Diseases.

Neutrophils are the most abundant leukocyte in circulation and are the first line of defense after an infection or injury. Neutrophils have a broad spectrum of functions, including phagocytosis of microorganisms, the release of pro-inflammatory cytokines and chemokines, oxidative burst, and the formation of neutrophil extracellular traps. Traditionally, neutrophils were thought to be most important for acute inflammatory responses, with a short half-life and a more static response to infections and injury. However, this view has changed in recent years showing neutrophil heterogeneity and dynamics, indicating a much more regulated and flexible response. Here we will discuss the role of neutrophils in aging and neurological disorders; specifically, we focus on recent data indicating the impact of neutrophils in chronic inflammatory processes and their contribution to neurological diseases. Lastly, we aim to conclude that reactive neutrophils directly contribute to increased vascular inflammation and age-related diseases.

Internal tremors and vibrations in long COVID: a cross-sectional study (preprint)

Background: Internal tremors and vibrations symptoms have been described as part of neurologic disorders but have not been fully described as a part of long COVID. We compared demographics, socioeconomic characteristics, pre-pandemic comorbidities, and new-onset conditions between people with internal tremors and vibrations as part of their long COVID symptoms and people with long COVID but without these symptoms. Methods: A cross-sectional study, Listen to Immune, Symptom and Treatment Experiences Now (LISTEN), collected data from adults with long COVID. The study sample included 423 participants enrolled between May 2022 and June 2023. Results: The 423 participants had a median age of 46 years (interquartile range, 38-56), 74% were female, 87% were Non-Hispanic White, and 158 (37%) reported "internal tremors, or buzzing/vibration" as a long COVID symptom. Before long COVID, the groups had similar comorbidities. Post-COVID, participants with internal tremors and vibrations had significantly worse health as measured by the Euro-QoL visual analogue scale (median: 40 vs. 50 points, P = 0.007), higher rates of financial difficulties caused by the pandemic and housing insecurity (P < 0.001 for each), and were significantly more likely to have new-onset conditions of mast cell disorders (11% vs. 2.6%), neurologic conditions (22% vs. 8.3%), anxiety (20% vs. 8.7%), and trauma- or stress-related mental health disorders (12% vs. 3.4%) compared with those without internal tremors (Bonferroni-adjusted P < 0.05 for each). Participants with internal tremors also reported significantly higher rates of cardiovascular, gastrointestinal, integumentary, and neurologic long COVID symptoms compared with those without internal tremors (Bonferroni-adjusted P < 0.05 for each). Conclusions and Relevance: Among people with long COVID, those with internal tremors and vibrations have more associated symptoms and worse health status, suggesting it may be associated with a severe phenotype of the condition.

Immunopathogenesis of viral infections in neurological autoimmune disease.

Autoimmune diseases develop due to self-tolerance failure in recognizing self and non-self-antigens. Several factors play a role in inducing autoimmunity, including genetic and environmental elements. Several studies demonstrated the causative role of viruses; however, some studies showed the preventive effect of viruses in the development of autoimmunity. Neurological autoimmune diseases are classified based on the targets of autoantibodies, which target intracellular or extracellular antigens rather than neurons. Several theories have been hypothesized to explain the role of viruses in the pathogenesis of neuroinflammation and autoimmune diseases. This study reviewed the current data on the immunopathogenesis of viruses in autoimmunity of the nervous system.

Coronavirus Disease 2019-Associated Neurological Manifestations in Children: A Large Single-Center Experience With Rare Cases.

BACKGROUND: We aimed to analyze pediatric patients with coronavirus disease 2019 (COVID-19) with a diverse spectrum of neurological manifestations in a single center since neurological involvement in children is still poorly understood. METHODS: We performed a retrospective study on 912 children aged between zero and 18 years who had a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test result and symptoms of COVID-19 from March 2020 to March 2021 in a single center. RESULTS: Among 912 patients, 37.5% (n = 342) had neurological symptoms and 62.5% (n = 570) had no neurological symptoms. The mean age of patients with neurological symptoms was significantly higher (14.2 ± 3.7 vs 9.9 ± 5.7; P < 0.001). Three hundred and twenty-two patients had nonspecific symptoms (ageusia, anosmia, parosmia, headache, vertigo, myalgia), whereas 20 patients had specific involvement (seizures/febrile infection-related epilepsy syndrome, cranial nerve palsy, Guillain-Barré syndrome and variants, acute disseminated encephalomyelitis, central nervous system vasculitis). The mean age of the patients with nonspecific neurological symptoms was significantly higher (14.6 ± 3.1 vs 7.7 ± 5.7; P < 0.001). CONCLUSION: This study presents a large number of patients with a diverse spectrum of neurological manifestations. The rare neurological manifestations reported in our study will contribute to better understanding the neurological involvement of SARS-CoV-2 in children. The study also points out the differences of SARS-CoV-2-related neurological manifestations between patients at different ages. Physicians should be alert about recognizing the early neurological manifestations of the SARS-CoV-2 in children.

Proteomic landscape of astrocytes and pericytes infected with HIV/SARS-CoV-2 mono/co-infection, impacting on neurological complications (preprint)

Background Although most individuals recover from coronavirus disease 2019 (COVID-19) within a few weeks, some people continue to experience a wide range of symptoms known as post-acute sequelae of SARS-CoV-2 (PASC) or long COVID. Majority of patients with PASC develop neurological disorders like brain fog, fatigue, mood swings, sleep disorders, loss of smell and test among others collectively called neuro-PASC. While the people living with HIV (PWH) do not have a higher risk of developing severe disease and mortality/morbidity due to COVID-19. As a large section of PWH suffered from HIV-associated neurocognitive disorders (HAND), it is essential to understand the impact of neuro-PASC on people with HAND. In pursuit of this, we infected HIV/SARS-CoV-2 alone or together in primary human astrocytes and pericytes and performed proteomics to understand the impact of co-infection in the central nervous system.Methods Primary human astrocytes and pericytes were infected with SARS-CoV-2 or HIV or HIV + SARS-CoV-2. The concentration of HIV and SARS-CoV-2 genomic RNA in the culture supernatant was quantified using reverse transcriptase quantitative real time polymerase chain reaction (RT-qPCR). This was followed by a quantitative proteomics analysis of mock, HIV, SARS-CoV-2, and HIV + SARS-CoV-2 infected astrocytes and pericytes to understand the impact of the virus in CNS cell types.Results Both healthy and HIV-infected astrocytes and pericytes support abortive/low level of SARS-CoV-2 replication. In both mono-infected and co-infected cells, we observe a modest increase in the expression of SARS-CoV-2 host cell entry factors (ACE2, TMPRSS2, NRP1, and TRIM28) and inflammatory mediators (IL-6, TNF-α, IL-1β and IL-18). Quantitative proteomic analysis has identified uniquely regulated pathways in mock vs SARS-CoV-2, mock vs HIV + SARS-CoV-2, and HIV vs HIV + SARS-CoV-2 infected astrocytes and pericytes. The gene set enrichment analysis revealed that the top ten enriched pathways are linked to several neurodegenerative disorders, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis.Conclusions Our study emphasizes the significance of long-term monitoring of patients co-infected with HIV and SARS-CoV-2 to detect and understand the development of neurological abnormalities. By unraveling the molecular mechanisms involved, we can identify potential targets for future therapeutic interventions.

A suitable model to investigate acute neurological consequences of coronavirus infection (preprint)

Objective and design:  The present study aimed to investigate the neurochemical and behavioral effects of the acute consequences after coronavirus infection through a murine model.  Material:  Wild type C57 BL/6 mice were infected intranasally (i.n) with the murine coronavirus 3 (MHV-3).  Methods:  Mice were submitted to behavioral tests. Euthanasia was performed on the fifth day after infection (5 dpi), and the brain tissue was subjected to plaque assays for viral titration, synaptosome, ELISA, histopathological and immunohistochemical analysis.  Results: Increased viral titers associated with mild histological changes, including signs of neuronal degeneration, were observed in the cerebral cortex of infected mice. Importantly, MHV-3 infection induced an increase in cortical levels of glutamate and calcium, as well as increased levels of pro-inflammatory cytokines (IL-6, IFN-γ) and reduced levels of neuroprotective mediators (BDNF and CX3CL1) in the mice brain, which is suggestive of excitotoxicity. Finally, behavioral analysis showed impaired motor, anhedonic and anxiety-like behaviors in animals infected with MHV-3. Conclusions: Overall, the data presented emulate many aspects of the acute neurological outcomes seen in patients with COVID-19. Therefore, this model may provide a preclinical platform to study acute neurological sequelae induced by coronavirus infection and test possible therapies.

Analysis of risk factors for seizures and short-term reoccurrence of seizures in febrile children with SARS-CoV-2 infection: an observational study (preprint)

Background:With the epidemic of the Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) variant Omicron, its accompanying neurological manifestations have gradually attracted attention.The main objective of this study was to compare seizures in febrile children with and without coronavirus disease 2019(COVID-19) and to conduct a short-term follow-up in the COVID-19 positive group to investigate the risk factors for short-term recurrence of seizures in children with febrile seizures(FS). Methods: Retrospective analysis of patients admitted to the Children's Hospital of Chongqing Medical University for fever and seizures between October 1 and December 30, 2022.Based on the results of SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR), the patients were divided into a COVID-19 positive group and a COVID-19 negative group.Moreover,we followed up patients in the COVID-19-positive group for 3 months using outpatient or telephone follow-up, and the main content of follow-up included whether the patients had seizures after discharge and whether there were neurological abnormalities. Results:Compared with the COVID-19-negative group, the COVID-19-positive group had a higher proportion of seizure duration ≥ 15 minutes(18.7%VS5.1%;P=0.001), seizure ≥ 2 time(54.4%VS41.0%;P=0.024), status epilepticus(15.4%VS5.1%;P=0.005), and Electroencephalogram (EEG) abnormalities(29.4%VS13.6%;P=0.016).Seizures ≥2 time[P=0.015,OR(95% CI)=4.632(1.347-15.928)], peak temperature ≤39°C[P=0.001,OR(95% CI)=6.296(2.059-19.254)], and history of convulsions[P=0.005,OR(95% CI)=5.628(1.707-18.550)] were risk factors for recurrence of seizures within a short period of time in children with covid-19 infected febrile convulsions.In the COVID-19 positive group, three patients died and four patients had residual cognitive or motor dysfunction. Conclusions:The seizures were more severe in the COVID-19 positive group compared to the COVID-19 negative group.In addition, patients with COVID-19 who present with seizures and persistent impaired consciousness need to be alerted to serious neurological disorders such as acute necrotizing encephalopathy.