A Novel Method to Map Small RNAs with High Resolution.

Analyzing cellular structures and the relative location of molecules is essential for addressing biological questions. Super-resolution microscopy techniques that bypass the light diffraction limit have become increasingly popular to study cellular molecule dynamics in situ. However, the application of super-resolution imaging techniques to detect small RNAs (sRNAs) is limited by the choice of proper fluorophores, autofluorescence of samples, and failure to multiplex. Here, we describe an sRNA-PAINT protocol for the detection of sRNAs at nanometer resolution. The method combines the specificity of locked nucleic acid probes and the low background, precise quantitation, and multiplexable characteristics of DNA Point Accumulation for Imaging in Nanoscale Topography (DNA-PAINT). Using this method, we successfully located sRNA targets that are important for development in maize anthers at sub-20 nm resolution and quantitated their exact copy numbers. Graphic abstract: Multiplexed sRNA-PAINT. Multiple Vetting and Analysis of RNA for In Situ Hybridization (VARNISH) probes with different docking strands (i.e., a, b, …) will be hybridized to samples. The first probe will be imaged with the a* imager. The a* imager will be washed off with buffer C, and then the sample will be imaged with b* imager. The wash and image steps can be repeated sequentially for multiplexing.

SARS-CoV-2 Infection Causes Hyperglycemia in Cats.

Isolated reports of new-onset diabetes in patients with coronavirus disease 2019 (COVID-19) have led researchers to hypothesize that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects human exocrine and endocrine pancreatic cells ex vivo and in vivo. However, existing research lacks experimental evidence indicating that SARS-CoV-2 can infect pancreatic tissue. Here, we found that cats infected with a high dose of SARS-CoV-2 exhibited hyperglycemia. We also detected SARS-CoV-2 RNA in pancreatic tissues of these cats, and immunohistochemical staining revealed the presence of SARS-CoV-2 nucleocapsid protein (NP) in islet cells. SARS-CoV-2 NP and spike proteins were primarily detected in glucagon-positive cells, and most glucagon-positive cells expressed ACE2. Additionally, immune protection experiments conducted on cats showed that blood glucose levels of immunized cats did not increase postchallenge. Our data indicate cat pancreas as a SARS-CoV-2 target and suggest that the infection of glucagon-positive cells could contribute to the metabolic dysregulation observed in SARS-CoV-2-infected cats.

In vitro and in vivo effects of 3-indoleacetonitrile-A potential new broad-spectrum therapeutic agent for SARS-CoV-2 infection.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has resulted in significant global morbidity, mortality, and societal disruption. Currently, effective antiviral drugs for the treatment of SARS-CoV-2 infection are limited. Therefore, safe and effective antiviral drugs to combat COVID-19 are urgently required. In previous studies, we showed that 3-indoleacetonitrile, a plant growth hormone produced by cruciferous (Brassica) vegetables, is effective in treating influenza A virus infection. However, the molecular mechanisms underlying these effects remain unclear. Herein, we demonstrated that 3-indoleacetonitrile exhibits broad-spectrum antiviral activity and is effective against HSV-1 and VSV infections in vitro. This phenomenon prompted us to study its role in the anti-SARS-CoV-2 process. Interestingly, 3-indoleacetonitrile exhibited antiviral activity against SARS-CoV-2 in vitro. Importantly, tail vein injection of 3-indoleacetonitrile resulted in good antiviral activity in mouse models infected with WBP-1 (a mouse adaptation of the SARS-CoV-2 strain). Mechanistically, 3-indoleacetonitrile promoted the host interferon signalling pathway response and inhibited autophagic flux. Furthermore, we demonstrated that 3-indoleacetonitrile induced an increase in mitochondrial antiviral-signalling (MAVS) protein levels, which might be attributed to its inhibition of the interaction between MAVS and the selective autophagy receptor SQSTM1. Overall, our results demonstrate that 3-indoleacetonitrile is potently active against SARS-CoV-2 in vitro and in vivo, which may provide a foundation for further clinical testing for the treatment of COVID-19. In addition, considering its broad-spectrum antiviral effect, it should be explored whether it also has an effect on other viruses that threaten human health.

ZBP1-Mediated Necroptosis: Mechanisms and Therapeutic Implications.

Cell death is a fundamental pathophysiological process in human disease. The discovery of necroptosis, a form of regulated necrosis that is induced by the activation of death receptors and formation of necrosome, represents a major breakthrough in the field of cell death in the past decade. Z-DNA-binding protein (ZBP1) is an interferon (IFN)-inducing protein, initially reported as a double-stranded DNA (dsDNA) sensor, which induces an innate inflammatory response. Recently, ZBP1 was identified as an important sensor of necroptosis during virus infection. It connects viral nucleic acid and receptor-interacting protein kinase 3 (RIPK3) via two domains and induces the formation of a necrosome. Recent studies have also reported that ZBP1 induces necroptosis in non-viral infections and mediates necrotic signal transduction by a unique mechanism. This review highlights the discovery of ZBP1 and its novel findings in necroptosis and provides an insight into its critical role in the crosstalk between different types of cell death, which may represent a new therapeutic option.

Social asset or social liability? How partisanship moderates the relationship between social capital and Covid-19 vaccination rates across United States counties.

This study investigates the interactive effect of social capital and partisanship on COVID-19 vaccination rates. Using county-level data from the United States (U.S.), we empirically find that social capital is a double-edged sword. Its effect on the vaccination rate depends on the dominant partisanship of the jurisdiction. In more liberal counties, stronger social capital is a social asset that encourages people to seek vaccination and results in a higher vaccination rate. In contrast, in more conservative counties where the Trump-voting rate reaches 73% and beyond, stronger social capital becomes a social liability for public health by reinforcing residents' hesitancy toward or rejection of vaccinations, leading to a lower vaccination rate. This study implies the need for reducing the partisanship salience and investing in bridging and linking social capital in polarized communities.

Performance of a Chest Radiograph AI Diagnostic Tool for COVID-19: A Prospective Observational Study.

Purpose: To conduct a prospective observational study across 12 U.S. hospitals to evaluate real-time performance of an interpretable artificial intelligence (AI) model to detect COVID-19 on chest radiographs. Materials and Methods: A total of 95 363 chest radiographs were included in model training, external validation, and real-time validation. The model was deployed as a clinical decision support system, and performance was prospectively evaluated. There were 5335 total real-time predictions and a COVID-19 prevalence of 4.8% (258 of 5335). Model performance was assessed with use of receiver operating characteristic analysis, precision-recall curves, and F1 score. Logistic regression was used to evaluate the association of race and sex with AI model diagnostic accuracy. To compare model accuracy with the performance of board-certified radiologists, a third dataset of 1638 images was read independently by two radiologists. Results: Participants positive for COVID-19 had higher COVID-19 diagnostic scores than participants negative for COVID-19 (median, 0.1 [IQR, 0.0-0.8] vs 0.0 [IQR, 0.0-0.1], respectively; P < .001). Real-time model performance was unchanged over 19 weeks of implementation (area under the receiver operating characteristic curve, 0.70; 95% CI: 0.66, 0.73). Model sensitivity was higher in men than women (P = .01), whereas model specificity was higher in women (P = .001). Sensitivity was higher for Asian (P = .002) and Black (P = .046) participants compared with White participants. The COVID-19 AI diagnostic system had worse accuracy (63.5% correct) compared with radiologist predictions (radiologist 1 = 67.8% correct, radiologist 2 = 68.6% correct; McNemar P < .001 for both). Conclusion: AI-based tools have not yet reached full diagnostic potential for COVID-19 and underperform compared with radiologist prediction.Keywords: Diagnosis, Classification, Application Domain, Infection, Lung Supplemental material is available for this article.. © RSNA, 2022.

Biological Actions, Implications, and Cautions of Statins Therapy in COVID-19.

The Coronavirus Disease 2019 (COVID-19) showed worse prognosis and higher mortality in individuals with obesity. Dyslipidemia is a major link between obesity and COVID-19 severity. Statins as the most common lipid regulating drugs have shown favorable effects in various pathophysiological states. Importantly, accumulating observational studies have suggested that statin use is associated with reduced risk of progressing to severe illness and in-hospital death in COVID-19 patients. Possible explanations underlie these protective impacts include their abilities of reducing cholesterol, suppressing viral entry and replication, anti-inflammation and immunomodulatory effects, as well as anti-thrombosis and anti-oxidative properties. Despite these benefits, statin therapies have side effects that should be considered, such as elevated creatinine kinase, liver enzyme and serum glucose levels, which are already elevated in severe COVID-19. Concerns are also raised whether statins interfere with the efficacy of COVID-19 vaccines. Randomized controlled trials are being conducted worldwide to confirm the values of statin use for COVID-19 treatment. Generally, the results suggest no necessity to discontinue statin use, and no evidence suggesting interference between statins and COVID-19 vaccines. However, concomitant administration of statins and COVID-19 antiviral drug Paxlovid may increase statin exposure and the risk of adverse effects, because most statins are metabolized mainly through CYP3A4 which is potently inhibited by ritonavir, a major component of Paxlovid. Therefore, more clinical/preclinical studies are still warranted to understand the benefits, harms and mechanisms of statin use in the context of COVID-19.

SARS-CoV-2 productively infects human brain microvascular endothelial cells.

BACKGROUND: The emergence of the novel, pathogenic severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global health emergency. SARS-CoV-2 is highly contagious and has a high mortality rate in severe patients. However, there is very limited information on the effect of SARS-CoV-2 infection on the integrity of the blood-brain barrier (BBB). METHODS: RNA-sequencing profiling was performed to analyze the transcriptomic changes in human brain microvascular endothelial cells (hBMECs) after SARS-CoV-2 infection. Bioinformatic tools were used for differential analysis. Immunofluorescence, real-time quantitative PCR, and Western blotting analysis were used to explore biological phenotypes. RESULTS: A total of 927 differentially expressed genes were identified, 610 of which were significantly upregulated while the remaining 317 were downregulated. We verified the significant induction of cytokines, chemokines, and adhesion molecules in hBMECs by SARS-CoV-2, suggesting an activation of the vascular endothelium in brain. Moreover, we demonstrated that SARS-CoV-2 infection could increase the BBB permeability, by downregulating as well as remodeling the intercellular tight junction proteins. CONCLUSIONS: Our findings demonstrated that SARS-CoV-2 infection can cause BBB dysfunction, providing novel insights into the understanding of SARS-CoV-2 neuropathogenesis. Moreover, this finding shall constitute a new approach for future prevention and treatment of SARS-CoV-2-induced CNS infection.

A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media.

Patients experience various symptoms when they haveeither acute or chronic diseases or undergo some treatments for diseases. Symptoms are often indicators of the severity of the disease and the need for hospitalization. Symptoms are often described in free text written as clinical notes in the Electronic Health Records (EHR) and are not integrated with other clinical factors for disease prediction and healthcare outcome management. In this research, we propose a novel deep language model to extract patient-reported symptoms from clinical text. The deep language model integrates syntactic and semantic analysis for symptom extraction and identifies the actual symptoms reported by patients and conditional or negation symptoms. The deep language model can extract both complex and straightforward symptom expressions. We used a real-world clinical notes dataset to evaluate our model and demonstrated that our model achieves superior performance compared to three other state-of-the-art symptom extraction models. We extensively analyzed our model to illustrate its effectiveness by examining each component's contribution to the model. Finally, we applied our model on a COVID-19 tweets data set to extract COVID-19 symptoms. The results show that our model can identify all the symptoms suggested by the Center for Disease Control (CDC) ahead of their timeline and many rare symptoms.

SARS-CoV-2 infection causes hyperglycaemia in cats

Isolated reports of new-onset diabetes in patients with COVID-19 have led researchers to hypothesise that SARS-CoV-2 infects the human exocrine and endocrine pancreatic cells ex vivo and in vivo. However, existing research lacks experimental evidence indicating that SARS-CoV-2 can infect pancreatic tissue. Here, we found that cats infected with a high dose of SARS-CoV-2 exhibited hyperglycaemia. We also detected SARS-CoV-2 RNA in the pancreatic tissues of these cats, and immunohistochemical staining revealed the presence of SARS-CoV-2 nucleocapsid protein (NP) in the islet cells. SARS-CoV-2 NP and Spike proteins were primarily detected in Glu+ cells, and most Glu+ cells expressed ACE2. Additionally, immune protection experiments conducted on cats showed that the blood glucose levels of immunised cats did not increase post-challenge. Our data indicate the cat pancreas as a SARS-CoV-2 target and suggest that the infection of Glu+ cells could contribute to the metabolic dysregulation observed in SARS-CoV-2-infected cats.

What difficulties did the college students encountered in information seeking during the COVID-19 pandemic?

To better promote information service and fight the infodemic, this paper investigated the difficulties that Chinese college students encountered in information seeking during the COVID-19 pandemic. We collected data in two stages. In the first stage in November 2020, we collected data from the Foundation of Information Science course. 54 college students who took the course completed an assignment to illustrate their information needs and difficulties during the pandemic. In the second stage in March 2021, trough convenience sampling we conducted an online survey by WenJuanXing. The participants were required to answer the same question as the question in the first stage. We collected 204 valid responses. Then, based on the search task difficulty reason scheme proposed by Liu et al. (2015) (denoted LKC15), we used content analysis to code the responses to analyze the difficulties that Chinese students encountered. LKC15's difficulty reasons were classified from three aspects: user, task, and user-task interaction. The findings indicated that 14 of the 21 difficulty reasons in LKC15 were identified in this study. Moreover, we added 17 new Difficulty reasons to revise the scheme. The difficulty reasons of user-task interaction were mentioned most frequently. In terms of user-task interaction, the difficulty reasons related to document features were mentioned most frequently, followed by the search results. Finally, it provided some suggestions and discussed the directions for future study.

Using natural intervention to promote subjective well-being of essential workers during public-health crises: A Study during COVID-19 pandemic.

Essential workers such as medical workers and police officers are first-line fighters during public-health crises, such as COVID-19 pandemic. Every time, they are under heavy stress both physically and mentally. The goal of the present study was to develop a novel nature-based intervention to promote their well-being. A representative sample of essential workers in China was recruited for a five-day intervention program, and were randomly assigned to two groups. The experimental group watched 2-min video clips of natural scenes every day, while the control group watched urban scenes. Results indicated that after five days, the natural stimuli intervention yielded overall improvements in various indices of subjective well-being. Furthermore, analyses of nested longitudinal data confirmed that everyday nature stimuli exposure provided both immediate and repeated restorative benefits. The proposed natural-based intervention is brief and easy-to-use, offering a cost-efficient psychological booster to promote subjective well-being of essential workers during this crisis time.

Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma.

Importance: Coronavirus disease 2019 (COVID-19) is a pandemic with no specific therapeutic agents and substantial mortality. It is critical to find new treatments. Objective: To determine whether convalescent plasma transfusion may be beneficial in the treatment of critically ill patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Design, Setting, and Participants: Case series of 5 critically ill patients with laboratory-confirmed COVID-19 and acute respiratory distress syndrome (ARDS) who met the following criteria: severe pneumonia with rapid progression and continuously high viral load despite antiviral treatment; Pao2/Fio2 <300; and mechanical ventilation. All 5 were treated with convalescent plasma transfusion. The study was conducted at the infectious disease department, Shenzhen Third People's Hospital in Shenzhen, China, from January 20, 2020, to March 25, 2020; final date of follow-up was March 25, 2020. Clinical outcomes were compared before and after convalescent plasma transfusion. Exposures: Patients received transfusion with convalescent plasma with a SARS-CoV-2-specific antibody (IgG) binding titer greater than 1:1000 (end point dilution titer, by enzyme-linked immunosorbent assay [ELISA]) and a neutralization titer greater than 40 (end point dilution titer) that had been obtained from 5 patients who recovered from COVID-19. Convalescent plasma was administered between 10 and 22 days after admission. Main Outcomes and Measures: Changes of body temperature, Sequential Organ Failure Assessment (SOFA) score (range 0-24, with higher scores indicating more severe illness), Pao2/Fio2, viral load, serum antibody titer, routine blood biochemical index, ARDS, and ventilatory and extracorporeal membrane oxygenation (ECMO) supports before and after convalescent plasma transfusion. Results: All 5 patients (age range, 36-65 years; 2 women) were receiving mechanical ventilation at the time of treatment and all had received antiviral agents and methylprednisolone. Following plasma transfusion, body temperature normalized within 3 days in 4 of 5 patients, the SOFA score decreased, and Pao2/Fio2 increased within 12 days (range, 172-276 before and 284-366 after). Viral loads also decreased and became negative within 12 days after the transfusion, and SARS-CoV-2-specific ELISA and neutralizing antibody titers increased following the transfusion (range, 40-60 before and 80-320 on day 7). ARDS resolved in 4 patients at 12 days after transfusion, and 3 patients were weaned from mechanical ventilation within 2 weeks of treatment. Of the 5 patients, 3 have been discharged from the hospital (length of stay: 53, 51, and 55 days), and 2 are in stable condition at 37 days after transfusion. Conclusions and Relevance: In this preliminary uncontrolled case series of 5 critically ill patients with COVID-19 and ARDS, administration of convalescent plasma containing neutralizing antibody was followed by improvement in their clinical status. The limited sample size and study design preclude a definitive statement about the potential effectiveness of this treatment, and these observations require evaluation in clinical trials.

In vivo structure and dynamics of the SARS-CoV-2 RNA genome.

The dynamics of SARS-CoV-2 RNA structure and their functional relevance are largely unknown. Here we develop a simplified SPLASH assay and comprehensively map the in vivo RNA-RNA interactome of SARS-CoV-2 genome across viral life cycle. We report canonical and alternative structures including 5'-UTR and 3'-UTR, frameshifting element (FSE) pseudoknot and genome cyclization in both cells and virions. We provide direct evidence of interactions between Transcription Regulating Sequences, which facilitate discontinuous transcription. In addition, we reveal alternative short and long distance arches around FSE. More importantly, we find that within virions, while SARS-CoV-2 genome RNA undergoes intensive compaction, genome domains remain stable but with strengthened demarcation of local domains and weakened global cyclization. Taken together, our analysis reveals the structural basis for the regulation of replication, discontinuous transcription and translational frameshifting, the alternative conformations and the maintenance of global genome organization during the whole life cycle of SARS-CoV-2, which we anticipate will help develop better antiviral strategies.

Repositive RT-PCR test in discharged COVID-19 patients during medical isolation observation.

Objectives: The epidemiological and clinical characteristics of patients with coronavirus disease 2019 (COVID-19) have been researched. However, the prevalence of repositivity by real-time PCR for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains unclear. Methods: A retrospective study was conducted involving 599 discharged patients with COVID-19 in a single medical centre. The clinical features of patients during their hospitalization and 14-day post-discharge quarantine were collected. Results: A total of 122 patients (20.4%) out of 599 patients retested positive after discharge. Specifically, 94 (15.7%) retested positive within 24 h of discharge, and another 28 patients (4.7%) were repositive on day 7 after discharge, although none showed any clinical symptomatic recurrence. Both repositives and non­repositives have similar patterns of IgG and IgM. Notably, the length of hospitalization of non-repositive patients was longer than that of 24-h repositive patients and 7-day repositive patients. In addition, the length of hospitalization of 24-h repositive patients was shorter than that of 7-day repositive patients, indicating that the length of hospitalization was also a determinant of viral shedding. Conclusion: Our study provides further information for improving the management of recovered and discharged patients, and further studies should be performed to elucidate the infectiveness of individuals with prolonged or RNA repositivity.

A serological survey of severe acute respiratory syndrome coronavirus 2 in dogs in Wuhan.

The novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in an unprecedented public health crisis and economic losses. Although several cases of cats and dogs infected with SARS-CoV-2 have been reported during this outbreak, the prevalence of SARS-CoV-2 in dog and its transmission among other companion animals are still unknown. Here, we report an extensive serological study of SARS-CoV-2 infection in dogs in Wuhan and analyse the infection rates at different stages of the pandemic outbreak. A total of 946 dogs serum samples were collected from Wuhan, of which 36 samples were obtained prior to the pandemic outbreak. Indirect enzyme-linked immunosorbent assay (ELISA) showed that 16 sera collected during the outbreak were detected as positive through the receptor-binding domain (RBD) of SARS-CoV-2. Of these 16 sera, 10 exhibited measurable SARS-CoV-2-specific neutralizing antibodies whose titres ranged from 1/20 to 1/180. No serological cross-reactivity was detected between SARS-CoV-2 and canine coronavirus (CCV). Furthermore, with the effective control of the outbreak, a decrease in the SARS-CoV-2 seropositive dog number was observed. Our results suggest that SARS-CoV-2 has infected companion dogs during the outbreak, and that COVID-19 patient families have a higher risk of dog infection. Our findings deepen our understanding of the infection of SARS-CoV-2 in dogs and provide an important reference for prevention of COVID-19.

Q493K and Q498H substitutions in Spike promote adaptation of SARS-CoV-2 in mice.

BACKGROUND: An ideal animal model to study SARS-coronavirus 2 (SARS-CoV-2) pathogenesis and evaluate therapies and vaccines should reproduce SARS-CoV-2 infection and recapitulate lung disease like those seen in humans. The angiotensin-converting enzyme 2 (ACE2) is a functional receptor for SARS-CoV-2, but mice are resistant to the infection because their ACE2 is incompatible with the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein . METHODS: SARS-CoV-2 was passaged in BALB/c mice to obtain mouse-adapted virus strain. Complete genome deep sequencing of different generations of viruses was performed to characterize the dynamics of the adaptive mutations in SARS-CoV-2. Indirect immunofluorescence analysis and Biolayer interferometry experiments determined the binding affinity of mouse-adapted SARS-CoV-2 WBP-1 RBD to mouse ACE2 and human ACE2. Finally, we tested whether TLR7/8 agonist Resiquimod (R848) could also inhibit the replication of WBP-1 in the mouse model. FINDINGS: The mouse-adapted strain WBP-1 showed increased infectivity in BALB/c mice and led to severe interstitial pneumonia. We characterized the dynamics of the adaptive mutations in SARS-CoV-2 and demonstrated that Q493K and Q498H in RBD significantly increased its binding affinity towards mouse ACE2. Additionally, the study tentatively found that the TLR7/8 agonist Resiquimod was able to protect mice against WBP-1 challenge. Therefore, this mouse-adapted strain is a useful tool to investigate COVID-19 and develop new therapies. INTERPRETATION: We found for the first time that the Q493K and Q498H mutations in the RBD of WBP-1 enhanced its interactive affinities with mACE2. The mouse-adapted SARS-CoV-2 provides a valuable tool for the evaluation of novel antiviral and vaccine strategies. This study also tentatively verified the antiviral activity of TLR7/8 agonist Resiquimod against SARS-CoV-2 in vitro and in vivo. FUNDING: This research was funded by the National Key Research and Development Program of China (2020YFC0845600) and Emergency Science and Technology Project of Hubei Province (2020FCA046) and Robert A. Welch Foundation (C-1565).