B-Cell Receptor Features and Database Establishment in Recovered COVID-19 Patients by Combining 5'-RACE with PacBio Sequencing.

BACKGROUND: Antibodies induced by viral infection can not only prevent subsequent virus infection, but can also mediate pathological injury following infection. Therefore, understanding the B-cell receptor (BCR) repertoire of either specific neutralizing or pathological antibodies from patients convalescing from Coronavirus disease 2019 (COVID-19) infection is of benefit for the preparation of therapeutic or preventive antibodies, and may provide insight into the mechanisms of COVID-19 pathological injury. METHODS: In this study, we used a molecular approach of combining 5' Rapid Amplification of cDNA Ends (5'-RACE) with PacBio sequencing to analyze the BCR repertoire of all 5 IgH and 2 IgL genes in B-cells harvested from 35 convalescent patients after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. RESULTS: We observed numerous BCR clonotypes within most COVID-19 patients, but not in healthy controls, which validates the association of the disease with a prototypical immune response. In addition, many clonotypes were found to be frequently shared between different patients or different classes of antibodies. CONCLUSIONS: These convergent clonotypes provide a resource to identify potential therapeutic/prophylactic antibodies, or identify antibodies associated with pathological effects following infection with SARS-CoV-2.

Identification of factors influencing core competence promotion among professional nurses and midwives: A qualitative study using the COM-B model.

AIM: To identify factors influencing a behaviour of improving core competencies among nurses and midwives in the Maternity and Child Health Care Hospital using the capability, opportunity, motivation and behaviour (COM-B) model. BACKGROUND: With the increasing number of women with pregnancy complications and the COVID-19 pandemic, nurses and midwives are being challenged and enhancing their core competencies is imperative to ensure high-quality care. To develop effective intervention strategies, it is essential to systematically explore what influences nurses and midwives to improve their core competencies. To this end, this study applied the COM-B model of behavioural change. DESIGN: Qualitative study using the COM-B model. METHODS: This qualitative descriptive study was conducted in 2022 using face-to-face interviews, including 49 nurses and midwives. Topic guides for the interviews were developed based on the COM-B model. Transcribed verbatim interviews were analysed using deductive thematic analysis. RESULTS: The COM-B model captures several factors. Capability factors included clinical knowledge and self-directed learning abilities. Opportunity factors included professional education covering necessary clinical skills, adequate clinical practice, personalised training, available time, insufficient clinical learning resources, absence of scientific research resources and support from leadership. Motivational factors were access to long-term work, incentive policies based on individuals' work values and responses to upward social comparison. CONCLUSIONS: The findings of this study suggested that prior to developing intervention strategies to enhance the core competencies of nurses and midwives, processing barriers to nurses' and midwives' capabilities, opportunities and motivation can facilitate the implementation of interventions.

Status and influencing factors of nursing and midwifery professionals' core competence- a cross sectional study.

OBJECTIVES: This study aims to understand the current situation and multiple factors affecting the core competence specializing in the maternal, neonatal and under-five nursing in China. BACKGROUND: Highly skilled nurses and midwives are essential worldwide for achieving the Sustainable Development Goals, especially in low- and middle-income countries like China, due to the overwhelming COVID-19 crisis. METHOD: The 890 nurses and midwives from 12 hospitals were investigated in this cross-sectional study, with two questionnaires: the sociodemographic information and competency inventory for the registered nurses. RESULTS: The participants reported a mean total score of 193.78 (±42.19) out of 220 and lowest in critical thinking and research ability (3.01 ± 0.82). The professional title, level, marital status, relationship quality, highest qualification, experience in specialist nurse training, participation in scientific research projects and publishing papers were the influencing factors (P < .05). CONCLUSIONS: The respondents' core competence needs improvement, especially critical regarding thinking and research ability. In addition, marriage and good or excellent relationship quality are factors that can potentially improve competence. IMPLICATIONS FOR NURSING MANAGEMENT: Targeted interventions for higher core nursing competence need to be implemented, especially focusing on nurses' marital status and emotional support from partners.

Longitudinal Dynamics of Cellular Responses in Recovered COVID-19 Patients.

Safe and effective vaccines and therapeutics based on the understanding of antiviral immunity are urgently needed to end the COVID-19 pandemic. However, the understanding of these immune responses, especially cellular immune responses to SARS-CoV-2 infection, is limited. Here, we conducted a cohort study of COVID-19 patients who were followed and had blood collected to characterize the longitudinal dynamics of their cellular immune responses. Compared with healthy controls, the percentage of activation of SARS-CoV-2 S/N-specific T cells in recovered patients was significantly higher. And the activation percentage of S/N-specific CD8+ T cells in recovered patients was significantly higher than that of CD4+ T cells. Notably, SARS-CoV-2 specific T-cell responses were strongly biased toward the expression of Th1 cytokines, included the cytokines IFNγ, TNFα and IL2. Moreover, the secreted IFNγ and IL2 level in severe patients was higher than that in mild patients. Additionally, the number of IFNγ-secreting S-specific T cells in recovered patients were higher than that of N-specific T cells. Overall, the SARS-CoV-2 S/N-specific T-cell responses in recovered patients were strong, and virus-specific immunity was present until 14-16 weeks after symptom onset. Our work provides a basis for understanding the immune responses and pathogenesis of COVID-19. It also has implications for vaccine development and optimization and speeding up the licensing of the next generation of COVID-19 vaccines.

Analysis of TCR Repertoire by High-Throughput Sequencing Indicates the Feature of T Cell Immune Response after SARS-CoV-2 Infection.

Coronavirus disease 2019 (COVID-19) is a global infectious disease caused by the SARS-CoV-2 coronavirus. T cells play an essential role in the body's fighting against the virus invasion, and the T cell receptor (TCR) is crucial in T cell-mediated virus recognition and clearance. However, little has been known about the features of T cell response in convalescent COVID-19 patients. In this study, using 5'RACE technology and PacBio sequencing, we analyzed the TCR repertoire of COVID-19 patients after recovery for 2 weeks and 6 months compared with the healthy donors. The TCR clustering and CDR3 annotation were exploited to discover groups of patient-specific TCR clonotypes with potential SARS-CoV-2 antigen specificities. We first identified CD4+ and CD8+ T cell clones with certain clonal expansion after infection, and then observed the preferential recombination usage of V(D) J gene segments in CD4+ and CD8+ T cells of COVID-19 patients with different convalescent stages. More important, the TRBV6-5-TRBD2-TRBJ2-7 combination with high frequency was shared between CD4+ T and CD8+ T cells of different COVID-19 patients. Finally, we found the dominant characteristic motifs of the CDR3 sequence between recovered COVID-19 and healthy control. Our study provides novel insights on TCR in COVID-19 with different convalescent phases, contributing to our understanding of the immune response induced by SARS-CoV-2.

Suppressing STAT3 activity protects the endothelial barrier from VEGF-mediated vascular permeability.

Vascular permeability triggered by inflammation or ischemia promotes edema, exacerbates disease progression and impairs tissue recovery. Vascular endothelial growth factor (VEGF) is a potent inducer of vascular permeability. VEGF plays an integral role in regulating vascular barrier function physiologically and in pathologies, including cancer, stroke, cardiovascular disease, retinal conditions and COVID-19-associated pulmonary edema, sepsis and acute lung injury. Understanding temporal molecular regulation of VEGF-induced vascular permeability will facilitate developing therapeutics to inhibit vascular permeability, while preserving tissue-restorative angiogenesis. Here, we demonstrate that VEGF signals through signal transducer and activator of transcription 3 (STAT3) to promote vascular permeability. We show that genetic STAT3 ablation reduces vascular permeability in STAT3-deficient endothelium of mice and VEGF-inducible zebrafish crossed with CRISPR/Cas9-generated Stat3 knockout zebrafish. Intercellular adhesion molecule 1 (ICAM-1) expression is transcriptionally regulated by STAT3, and VEGF-dependent STAT3 activation is regulated by JAK2. Pyrimethamine, an FDA-approved antimicrobial agent that inhibits STAT3-dependent transcription, substantially reduces VEGF-induced vascular permeability in zebrafish, mouse and human endothelium. Collectively, our findings suggest that VEGF/VEGFR-2/JAK2/STAT3 signaling regulates vascular barrier integrity, and inhibition of STAT3-dependent activity reduces VEGF-induced vascular permeability. This article has an associated First Person interview with the first author of the paper.

Identification and Prediction of Novel Clinical Phenotypes for Intensive Care Patients With SARS-CoV-2 Pneumonia: An Observational Cohort Study.

Background: Phenotypes have been identified within heterogeneous disease, such as acute respiratory distress syndrome and sepsis, which are associated with important prognostic and therapeutic implications. The present study sought to assess whether phenotypes can be derived from intensive care patients with coronavirus disease 2019 (COVID-19), to assess the correlation with prognosis, and to develop a parsimonious model for phenotype identification. Methods: Adult patients with COVID-19 from Tongji hospital between January 2020 and March 2020 were included. The consensus k means clustering and latent class analysis (LCA) were applied to identify phenotypes using 26 clinical variables. We then employed machine learning algorithms to select a maximum of five important classifier variables, which were further used to establish a nested logistic regression model for phenotype identification. Results: Both consensus k means clustering and LCA showed that a two-phenotype model was the best fit for the present cohort (N = 504). A total of 182 patients (36.1%) were classified as hyperactive phenotype, who exhibited a higher 28-day mortality and higher rates of organ dysfunction than did those in hypoactive phenotype. The top five variables used to assign phenotypes were neutrophil-to-lymphocyte ratio (NLR), ratio of pulse oxygen saturation to the fractional concentration of oxygen in inspired air (Spo2/Fio2) ratio, lactate dehydrogenase (LDH), tumor necrosis factor α (TNF-α), and urea nitrogen. From the nested logistic models, three-variable (NLR, Spo2/Fio2 ratio, and LDH) and four-variable (three-variable plus TNF-α) models were adjudicated to be the best performing, with the area under the curve of 0.95 [95% confidence interval (CI) = 0.94-0.97] and 0.97 (95% CI = 0.96-0.98), respectively. Conclusion: We identified two phenotypes within COVID-19, with different host responses and outcomes. The phenotypes can be accurately identified with parsimonious classifier models using three or four variables.

Suppressing STAT3 activity protects the endothelial barrier from VEGF-mediated vascular permeability (preprint)

ABSTRACT Vascular permeability triggered by inflammation or ischemia promotes edema, exacerbates disease progression, and impairs tissue recovery. Vascular endothelial growth factor (VEGF) is a potent inducer of vascular permeability. VEGF plays an integral role in regulating vascular barrier function physiologically and in pathologies, such as cancer, ischemic stroke, cardiovascular disease, retinal conditions, and COVID-19-associated pulmonary edema and sepsis, which often leads to acute lung injury, including acute respiratory distress syndrome. However, after initially stimulating permeability, VEGF subsequently mediates angiogenesis to repair damaged tissue. Consequently, understanding temporal molecular regulation of VEGF-induced vascular permeability will facilitate developing therapeutics that achieve the delicate balance of inhibiting vascular permeability while preserving tissue repair. Here, we demonstrate that VEGF signals through signal transducer and activator of transcription 3 (STAT3) to promote vascular permeability. Specifically, we show that genetic STAT3 ablation reduces vascular permeability in STAT3-deficient endothelium of mice and VEGF-inducible zebrafish crossed with CRISPR/Cas9 generated genomic STAT3 knockout zebrafish. Importantly, STAT3 deficiency does not impair vascular development and function in vivo. We identify intercellular adhesion molecule 1 (ICAM-1) as a STAT3-dependent transcriptional regulator and show VEGF-dependent STAT3 activation is regulated by JAK2. Pyrimethamine, an FDA-approved anti-microbial agent that inhibits STAT3-dependent transcription, substantially reduces VEGF-induced vascular permeability in zebrafish, mouse, and human endothelium. Indeed, pharmacologically targeting STAT3 increases vascular barrier integrity using two additional compounds, atovaquone and C188-9. Collectively, our findings suggest that the VEGF, VEGFR-2, JAK2, and STAT3 signaling cascade regulates vascular barrier integrity, and inhibition of STAT3-dependent activity reduces VEGF-induced vascular permeability in vertebrate models. Key Points Genetic STAT3 deficiency in VEGF-inducible zebrafish and mice reveals that VEGF signals through STAT3 to promote vascular permeability Pyrimethamine, a clinically available agent that inhibits STAT3 activity, reduces VEGF-induced vascular permeability in preclinical models

The effects of chloroquine and hydroxychloroquine on ACE2 related coronavirus pathology and the cardiovascular system: An evidence based review

The ongoing pandemic of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses a serious threat to global public health and there is currently no effective antiviral therapy. It has been suggested that Chloroquine (CQ) and hydroxychloroquine (HCQ), which were primarily employed as prophylaxis and treatment for malaria, could be used to treat COVID-19. CQ and HCQ may be potential inhibitors of SARS-CoV-2 entry into host cells, which is mediated via the angiotensin-converting enzyme 2 (ACE2), and may also inhibit subsequent intracellular processes which lead to COVID-19, including damage to the cardiovascular system. However, paradoxically, CQ and HCQ have also been reported to cause damage to the cardiovascular system. In this review, we provide a critical examination of the published evidence. CQ and HCQ could potentially be useful drugs in the treatment of COVID-19 and other ACE2 involved virus infections, but the antiviral effects of CQ and HCQ need to be tested in more well-designed clinical randomized studies and their actions on the cardiovascular system need to be further elucidated. However, even if it were to turn out that CQ and HCQ are not useful drugs in practice, further studies of their mechanism of action could be helpful in improving our understanding of COVID-19 pathology.