The present work reports the inhibitory effect of amides derived from gallic acid (gallamides) against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) main protease (Mpro), along with cytotoxicity evaluation and molecular docking studies. In addition to gallamides, other relevant compounds were also synthesized and evaluated against Mpro, making a total of 25 compounds. Eight compounds presented solubility issues during the inhibitory assay and one showed no inhibitory activity. Compounds 3a, 3b, and 3f showed the highest enzymatic inhibition with IC50 = 0.26 ± 0.19 µM, 0.80 ± 0.38 µM, and 2.87 ± 1.17 µM, respectively. Selenogallamide 6a exhibited IC50 values of 5.42 ± 2.89 µM and a comparison with its nonselenylated congener 3c shows that the insertion of the chalcogen moiety improved the inhibitory capacity of the compound by approximately 10 times. Regarding the cellular toxicity in THP-1 and Vero cells, compounds 3e and 3g, showed moderate cytotoxicity in Vero cells, while for THP-1 both were nontoxic, with CC50 > 150 µM. Derivative 3d showed moderate cytotoxicity against both cell lines, whereas 6d was moderatly toxic to THP-1. Other compounds analyzed do not induce substantial cellular toxicity at the concentrations tested. The molecular docking results for compounds 3a, 3b, and 3f show that hydrogen bonding interactions involving the hydroxyl groups (OH) of the gallate moiety are relevant, as well as the carbonyl group.

Since the emergence of SARS-CoV-2, mutations in all subunits of the RNA-dependent RNA polymerase (RdRp) of the virus have been repeatedly reported. Although RdRp represents a primary target for antiviral drugs, experimental studies exploring the phenotypic effect of these mutations have been limited. This study focuses on the phenotypic effects of substitutions in the three RdRp subunits: nsp7, nsp8, and nsp12, selected based on their occurrence rate and potential impact. We employed nano-differential scanning fluorimetry and microscale thermophoresis to examine the impact of these mutations on protein stability and RdRp complex assembly. We observed diverse impacts; notably, a single mutation in nsp8 significantly increased its stability as evidenced by a 13°C increase in melting temperature, whereas certain mutations in nsp7 and nsp8 reduced their binding affinity to nsp12 during RdRp complex formation. Using a fluorometric enzymatic assay, we assessed the overall effect on RNA polymerase activity. We found that most of the examined mutations altered the polymerase activity, often as a direct result of changes in stability or affinity to the other components of the RdRp complex. Intriguingly, a combination of nsp8 A21V and nsp12 P323L mutations resulted in a 50% increase in polymerase activity. To our knowledge, this is the first biochemical study to demonstrate the impact of amino acid mutations across all components constituting the RdRp complex in emerging SARS-CoV-2 subvariants.

Kaposi\'s sarcoma (KS) is an angio-proliferative disease with a viral etiology and a multifactorial pathogenesis that results from immune dysfunction. In patients affected by latent viral infections such as herpesviruses, SARS-CoV-2 infection may result in lytic cycle reactivation in host cells. A robust immune system response is crucial for eliminating pathogens and resolving both latent and non-latent viral infections. We report a case series of KS characterized by tumor progression after SARS-CoV-2 infection. We performed a systematic literature review of the PubMed/MEDLINE and EMBASE databases. The keyword terms included \"SARS-CoV-2,\" \"HHV-8,\" \"Kaposi\'s sarcoma,\" \"IL-6,\" and \"COVID-19.\" English language restriction was applied. Items not covered by our study were excluded. KS is a complex disease linked to an impaired immune system. Conditions that result in temporary or permanent immunodeficiency can trigger viral reactivation or exacerbate an existing disease. It is feasible that the increase in cytokine levels in COVID-19 patients, coupled with lymphocyte downregulation and treatment that induces herpesvirus lytic reactivation, may contribute to the progression of KS after SARS-CoV-2 infection. These observations suggest that patients with KS should be clinically monitored both during and after SARS-CoV-2 infection. Nevertheless, prospective data should be collected to validate this hypothesis and enhance our understanding of the mechanisms implicated in the onset or progression of KS.

The emergence of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led to the global COVID-19 pandemic, significantly impacting the health of pregnant women. Obstetric populations, already vulnerable, face increased morbidity and mortality related to COVID-19, aggravated by preexisting comorbidities. Recent studies have shed light on the potential correlation between COVID-19 and preeclampsia (PE), a leading cause of maternal and perinatal morbidity worldwide, emphasizing the significance of exploring the relationship between these two conditions. Here, we review the pathophysiological similarities that PE shares with COVID-19, with a particular focus on severe COVID-19 cases and in PE-like syndrome cases related with SARS-CoV-2 infection. We highlight cellular and molecular mechanistic inter-connectivity between these two conditions, for example, regulation of renin-angiotensin system, tight junction and barrier integrity, and the complement system. Finally, we discuss how COVID-19 pandemic dynamics, including the emergence of variants and vaccination efforts, has shaped the clinical scenario and influenced the severity and management of both COVID-19 and PE. Continued research on the mechanisms of SARS-CoV-2 infection during pregnancy and the potential risk of developing PE from previous infections is warranted to delineate the complexities of COVID-19 and PE interactions and to improve clinical management of both conditions.

Here, we performed single-cell RNA sequencing of S1 and receptor binding domain protein-specific B cells from convalescent COVID-19 patients with different clinical manifestations. This study aimed to evaluate the role and developmental pathway of atypical memory B cells (MBCs) in response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. The results revealed a proinflammatory signature across B cell subsets associated with disease severity, as evidenced by the upregulation of genes such as GADD45B, MAP3K8, and NFKBIA in critical and severe individuals. Furthermore, the analysis of atypical MBCs suggested a developmental pathway similar to that of conventional MBCs through germinal centers, as indicated by the expression of several genes involved in germinal center processes, including CXCR4, CXCR5, BCL2, and MYC. Additionally, the upregulation of genes characteristic of the immune response in COVID-19, such as ZFP36 and DUSP1, suggested that the differentiation and activation of atypical MBCs may be influenced by exposure to SARS-CoV-2 and that these genes may contribute to the immune response for COVID-19 recovery. Our study contributes to a better understanding of atypical MBCs in COVID-19 and the role of other B cell subsets across different clinical manifestations.

The average cost to bring a new drug from its initial discovery to a patient\'s bedside is estimated to surpass $2 billion and requires over a decade of research and development. There is a need for new drug screening technologies that can parse drug candidates with increased likelihood of clinical utility early in development in order to increase the cost-effectiveness of this pipeline. For example, during the COVID-19 pandemic, resources were rapidly mobilized to identify effective therapeutic treatments but many lead antiviral compounds failed to demonstrate efficacy when progressed to human trials. To address the lack of predictive preclinical drug screening tools, PREDICT96-ALI, a high-throughput (n = 96) microphysiological system (MPS)  that recapitulates primary human tracheobronchial tissue,is adapted for the evaluation of differential antiviral efficacy of native SARS-CoV-2 variants of concern. Here, PREDICT96-ALI resolves both the differential viral kinetics between variants and the efficacy of antiviral compounds over a range of drug doses. PREDICT96-ALI is able to distinguish clinically efficacious antiviral therapies like remdesivir and nirmatrelvir from promising lead compounds that do not show clinical efficacy. Importantly, results from this proof-of-concept study track with known clinical outcomes, demonstrate the feasibility of this technology as a prognostic drug discovery tool.

The first approved vaccines for human use against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are nanotechnology-based. Although they are modular, rapidly produced, and can reduce disease severity, the currently available vaccines are restricted in preventing infection, stressing the global demand for novel preventive vaccine technologies. Bearing this in mind, we set out to develop a flexible nanovaccine platform for nasal administration to induce mucosal immunity, which is fundamental for optimal protection against respiratory virus infection. The next-generation multiepitope nanovaccines co-deliver immunogenic peptides, selected by an immunoinformatic workflow, along with adjuvants and regulators of the PD-L1 expression. As a case study, we focused on SARS-CoV-2 peptides as relevant antigens to validate the approach. This platform can evoke both local and systemic cellular- and humoral-specific responses against SARS-CoV-2. This led to the secretion of immunoglobulin A (IgA), capable of neutralizing SARS-CoV-2, including variants of concern, following a heterologous immunization strategy. Considering the limitations of the required cold chain distribution for current nanotechnology-based vaccines, it is shown that the lyophilized nanovaccine is stable for long-term at room temperature and retains its in vivo efficacy upon reconstitution. This makes it particularly relevant for developing countries and offers a modular system adaptable to future viral threats.

BACKGROUND: The severe acute respiratory syndrome coronavirus (SARS-CoV-2) outbreak in 2019 has necessitated investigating its potential adverse effects on pregnancy outcomes and fetal development.
OBJECTIVE: This study aimed to review the evidence on the impact of SARS-CoV-2 infection during pregnancy on fetal outcomes.
METHODS: Literatures since the outbreak of COVID-19 from PubMed and Web of Science were summarized in this narrative review, to show the effects of maternal SARS-CoV-2 infection during pregnancy on fetal development.
RESULTS: SARS-CoV-2 infection during pregnancy can be transmitted vertically through the placenta, both in utero and perinatally, affecting the maternal-fetal immune interface and placental function. Viral infections during pregnancy have been linked to central nervous system development impairments and disorders such as autism. Changes in the structure and function of the respiratory, immune, and visceral systems have also been reported. SARS-CoV-2 infection during pregnancy has been linked with increased risks of stillbirth and preterm birth. However, the mechanisms involved remain unclear and may include cytokine storms, macrophage mediation, genetic mutations, methylation, and other epigenetic changes. Exploring the protective effects of antiviral treatment and other interventions in animal and clinical studies may help improve outcomes.
CONCLUSIONS: SARS-CoV-2 infection during pregnancy activates the maternal-fetal immune interface through vertical transmission, and has short- and long-term effects on fetal development, including the central nervous system. Future long-term studies may help provide evidence that can inform interventions to reduce the risk of adverse outcomes.

To elucidate the seroprevalence and rate of asymptomatic infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Japanese children, serological analysis was performed using serum samples collected from March 2020 to February 2023. A total of 1493 serum samples were collected during the first study period (March 2020 to February 2021). None of the serum samples was positive for SARS-CoV-2 antibody. In the second period (March 2021 to February 2022), seven of the 1055 patients (0.7%) experienced SARS-CoV-2 infection. The third period (March 2022 to February 2023) was divided into three terms: from March to June 30, 2022; from July to October 2022; and from November 2022 to February 2023. The seroprevalence gradually increased throughout this period, with rates of 6.0%, 18.6%, and 30.4% in the three terms, respectively. Pediatric cases of asymptomatic SARS-CoV-2 infection occurred after the surge of Omicron variants. Since none of the SARS-CoV-2 antibody-positive patients had a previous history of coronavirus disease 2019, the seroprevalence rate in this study may represent the rate of asymptomatic infection.

Amateurs often struggle with detecting and quantifying protein biomarkers in body fluids due to the high expertise required. This study introduces a Lab-in-a-Vial (LV) rapid diagnostic platform, featuring hydrangea-like platinum nanozymes (PtNH), for rapid, accurate detection and quantification of protein biomarkers on-site within 15 min. This method significantly enhances detection sensitivity for various biomarkers in body fluids, surpassing traditional methods such as enzyme-linked immunosorbent assays (ELISA) and lateral flow assays (LFA) by ≈250 to 1300 times. The LV platform uses a glass vial coated with specific bioreceptors such as antigens or antibodies, enabling rapid in vitro evaluation of disease risk from small fluid samples, similar to a personal ELISA-like point-of-care test (POCT). It overcomes challenges in on-site biomarker detection, allowing both detection and quantification through a portable wireless spectrometer for healthcare internet of things (H-IoT). The platform\'s effectiveness and adaptability are confirmed using IgG/IgM antibodies from SARS-CoV-2 infected patients and nuclear matrix protein (NMP22) from urothelial carcinoma (UC) patients as biomarkers. These tests demonstrated its accuracy and flexibility. This approach offers vast potential for diverse disease applications, provided that the relevant protein biomarkers in bodily fluids are identified.