Monocytosis in the acute phase of SARS-CoV-2 infection predicts the presence of anosognosia for cognitive deficits in the chronic phase.

Reduced awareness of neuropsychological disorders (i.e., anosognosia) is a striking symptom of post-COVID-19 condition. Some leukocyte markers in the acute phase may predict the presence of anosognosia in the chronic phase, but they have not yet been identified. This study aimed to determine whether patients with anosognosia for their memory deficits in the chronic phase presented specific leukocyte distribution in the acute phase, and if so, whether these leukocyte levels might be predictive of anosognosia. First, we compared the acute immunological data (i.e., white blood cell differentiation count) of 20 patients who displayed anosognosia 6-9 months after being infected with SARS-CoV-2 (230.25 ± 46.65 days) versus 41 patients infected with SARS-Cov-2 who did not develop anosognosia. Second, we performed an ROC analysis to evaluate the predictive value of the leukocyte markers that emerged from this comparison. Blood circulating monocytes (%) in the acute phase of SARS-CoV-2 infection were associated with long-term post-COVID-19 anosognosia. A monocyte percentage of 7.35% of the total number of leukocytes at admission seemed to predict the presence of chronic anosognosia 6-9 months after infection.

A 'Multiomic' Approach of Saliva Metabolomics, Microbiota, and Serum Biomarkers to Assess the Need of Hospitalization in Coronavirus Disease 2019.

BACKGROUND AND AIMS: The SARS-CoV-2 pandemic has overwhelmed the treatment capacity of the health care systems during the highest viral diffusion rate. Patients reaching the emergency department had to be either hospitalized (inpatients) or discharged (outpatients). Still, the decision was taken based on the individual assessment of the actual clinical condition, without specific biomarkers to predict future improvement or deterioration, and discharged patients often returned to the hospital for aggravation of their condition. Here, we have developed a new combined approach of omics to identify factors that could distinguish coronavirus disease 19 (COVID-19) inpatients from outpatients. METHODS: Saliva and blood samples were collected over the course of two observational cohort studies. By using machine learning approaches, we compared salivary metabolome of 50 COVID-19 patients with that of 270 healthy individuals having previously been exposed or not to SARS-CoV-2. We then correlated the salivary metabolites that allowed separating COVID-19 inpatients from outpatients with serum biomarkers and salivary microbiota taxa differentially represented in the two groups of patients. RESULTS: We identified nine salivary metabolites that allowed assessing the need of hospitalization. When combined with serum biomarkers, just two salivary metabolites (myo-inositol and 2-pyrrolidineacetic acid) and one serum protein, chitinase 3-like-1 (CHI3L1), were sufficient to separate inpatients from outpatients completely and correlated with modulated microbiota taxa. In particular, we found Corynebacterium 1 to be overrepresented in inpatients, whereas Actinomycetaceae F0332, Candidatus Saccharimonas, and Haemophilus were all underrepresented in the hospitalized population. CONCLUSION: This is a proof of concept that a combined omic analysis can be used to stratify patients independently from COVID-19.

Limited negative effects of the COVID-19 pandemic on mental health measures of Ghanaian university students.

BACKGROUND: Stress and mental health outcomes are negatively correlated among university students throughout the world. Reports of differences in stress perception by gender exist, but there is limited data on students from sub-Saharan African countries. This study describes the burden of perceived and financial stress; characterizes mood and degree of anxiety symptoms; examines stress coping mechanisms, including resilience and repetitive negative thinking (RNT); and explores how students at a Ghanaian university believed the COVID-19 pandemic affected these measures. METHODS: Students (n = 129) were recruited from the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana from October 2020 - January 2021. Validated surveys were used. Participants were asked "Are your answers to the questions affected by the COVID-19 pandemic?" RESULTS: No differences in mean scores were observed between genders. For female students, financial stress was positively associated with RNT (p = 0.009), negative mood (p = 0.002), and anxiety (p < 0.001). Males were more likely to report decreased stress during the pandemic (p = 0.002), but there was no difference in mental health outcomes by perceived stress (PS) change category among males. Effects of the pandemic on mental health outcomes were mixed, but substantial proportions of students reported improvements or no change in financial stress, mood, anxiety, and RNT. LIMITATIONS: Students from one university particiapted in this cross-sectional survey. CONCLUSIONS: This study adds to the understanding of how higher education students are experiencing stress and are coping with the uncertainties of the COVID-19 pandemic in Ghana.

SARS-CoV-2 mutations altering regulatory properties: Deciphering host's and virus's perspectives.

Since the first recorded case of the SARS-CoV-2, it has acquired several mutations in its genome while spreading throughout the globe. In this study, we investigated the significance of these mutations by analyzing the host miRNA binding and virus's internal ribosome entry site (IRES). Strikingly, we observed that due to the acquired mutations, five host miRNAs lost their affinity for targeting the viral genome, and another five can target the mutated viral genome. Moreover, functional enrichment analysis suggests that targets of both of these miRNAs might be involved in various host immune signaling pathways. Remarkably, we detected that three particular mutations in the IRES can disrupt its secondary structure which can consequently make the virus less functional. These results could be valuable in exploring the functional importance of the mutations of SARS-CoV-2 and could provide novel insights into the differences observed different parts of the world.

The SARS-CoV-2 host cell receptor ACE2 correlates positively with immunotherapy response and is a potential protective factor for cancer progression.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected more than 29 million people and has caused more than 900,000 deaths worldwide as of September 14, 2020. The SARS-CoV-2 human cell receptor ACE2 has recently received extensive attention for its role in SARS-CoV-2 infection. Many studies have also explored the association between ACE2 and cancer. However, a systemic investigation into associations between ACE2 and oncogenic pathways, tumor progression, and clinical outcomes in pan-cancer remains lacking. Using cancer genomics datasets from the Cancer Genome Atlas (TCGA) program, we performed computational analyses of associations between ACE2 expression and antitumor immunity, immunotherapy response, oncogenic pathways, tumor progression phenotypes, and clinical outcomes in 13 cancer cohorts. We found that ACE2 upregulation was associated with increased antitumor immune signatures and PD-L1 expression, and favorable anti-PD-1/PD-L1/CTLA-4 immunotherapy response. ACE2 expression levels inversely correlated with the activity of cell cycle, mismatch repair, TGF-ß, Wnt, VEGF, and Notch signaling pathways. Moreover, ACE2 expression levels had significant inverse correlations with tumor proliferation, stemness, and epithelial-mesenchymal transition. ACE2 upregulation was associated with favorable survival in pan-cancer and in multiple individual cancer types. These results suggest that ACE2 is a potential protective factor for cancer progression. Our data may provide potential clinical implications for treating cancer patients infected with SARS-CoV-2.