Using Twitter-Based Data for Sexual Violence Research: Scoping Review.

BACKGROUND: Scholars have used data from in-person interviews, administrative systems, and surveys for sexual violence research. Using Twitter as a data source for examining the nature of sexual violence is a relatively new and underexplored area of study. OBJECTIVE: We aimed to perform a scoping review of the current literature on using Twitter data for researching sexual violence, elaborate on the validity of the methods, and discuss the implications and limitations of existing studies. METHODS: We performed a literature search in the following 6 databases: APA PsycInfo (Ovid), Scopus, PubMed, International Bibliography of Social Sciences (ProQuest), Criminal Justice Abstracts (EBSCO), and Communications Abstracts (EBSCO), in April 2022. The initial search identified 3759 articles that were imported into Covidence. Seven independent reviewers screened these articles following 2 steps: (1) title and abstract screening, and (2) full-text screening. The inclusion criteria were as follows: (1) empirical research, (2) focus on sexual violence, (3) analysis of Twitter data (ie, tweets or Twitter metadata), and (4) text in English. Finally, we selected 121 articles that met the inclusion criteria and coded these articles. RESULTS: We coded and presented the 121 articles using Twitter-based data for sexual violence research. About 70% (89/121, 73.6%) of the articles were published in peer-reviewed journals after 2018. The reviewed articles collectively analyzed about 79.6 million tweets. The primary approaches to using Twitter as a data source were content text analysis (112/121, 92.5%) and sentiment analysis (31/121, 25.6%). Hashtags (103/121, 85.1%) were the most prominent metadata feature, followed by tweet time and date, retweets, replies, URLs, and geotags. More than a third of the articles (51/121, 42.1%) used the application programming interface to collect Twitter data. Data analyses included qualitative thematic analysis, machine learning (eg, sentiment analysis, supervised machine learning, unsupervised machine learning, and social network analysis), and quantitative analysis. Only 10.7% (13/121) of the studies discussed ethical considerations. CONCLUSIONS: We described the current state of using Twitter data for sexual violence research, developed a new taxonomy describing Twitter as a data source, and evaluated the methodologies. Research recommendations include the following: development of methods for data collection and analysis, in-depth discussions about ethical norms, exploration of specific aspects of sexual violence on Twitter, examination of tweets in multiple languages, and decontextualization of Twitter data. This review demonstrates the potential of using Twitter data in sexual violence research.

Design and characterization of novel SARS-CoV-2 fusion inhibitors with N-terminally extended HR2 peptides.

Development of potent and broad-spectrum antivirals against SARS-CoV-2 remains one of top priorities, especially in the case of that current vaccines cannot effectively prevent viral transmission. We previously generated a group of fusion-inhibitory lipopeptides, with one formulation being evaluated under clinical trials. In this study, we dedicated to characterize the extended N-terminal motif (residues 1161-1168) of the so-called spike (S) heptad repeat 2 (HR2) region. Alanine scanning analysis of this motif verified its critical roles in S protein-mediated cell-cell fusion. Using a panel of HR2 peptides with the N-terminal extensions, we identified a peptide termed P40, which contained four extended N-terminal residues (VDLG) and exhibited improved binding and antiviral activities, whereas the peptides with further extensions had no such effects. Then, we developed a new lipopeptide P40-LP by modifying P40 with cholesterol, which exhibited dramatically increased activities in inhibiting SARS-CoV-2 variants including divergent Omicron sublineages. Moreover, P40-LP displayed a synergistic effect with IPB24 lipopeptide that was designed containing the C-terminally extended residues, and it could effectively inhibit other human coronaviruses, including SARS-CoV, MERS-CoV, HCoV-229E, and HCoV-NL63. Taken together, our results have provided valuable insights for understanding the structure-function relationship of SARS-CoV-2 fusion protein and offered novel antiviral strategies to fight against the COVID-19 pandemic.

SARS-CoV-2-encoded inhibitors of human LINE-1 retrotransposition.

The ongoing pandemic of severe acute respiratory coronavirus 2 (SARS-CoV-2) is causing a devastating impact on public health worldwide. However, details concerning the profound impact of SARS-CoV-2 on host cells remain elusive. Here, we investigated the effects of SARS-CoV-2-encoded viral proteins on the intracellular activity of long interspersed element 1 (L1) retrotransposons using well-established reporter systems. Several nonstructural or accessory proteins (Nsps) of SARS-CoV-2 (i.e., Nsp1, Nsp3, Nsp5, and Nsp14) significantly suppress human L1 mobility, and these viral L1 inhibitors generate a complex network that modulates L1 transposition. Specifically, Nsp1 and Nsp14 inhibit the intracellular accumulation of L1 open reading frame proteins (ORF1p), whereas Nsp3, Nsp5, and Nsp14 repress the reverse transcriptase activity of L1 ORF2p. Given recent findings concerning the roles of L1 in antiviral immune activation and host genome instability, the anti-L1 activities mediated by SARS-CoV-2-encoded inhibitors suggest that SARS-CoV-2 employs different strategies to optimize the host genetic environment.

Development of highly effective LCB1-based lipopeptides targeting the spike receptor-binding motif of SARS-CoV-2.

LCB1 is a computationally designed 56-mer miniprotein targeting the spike (S) receptor-binding motif of SARS-CoV- 2 with high potent activity (Science, 2020; Cell host microbe, 2021); however, recent studies have demonstrated that emerging SARS-CoV-2 variants are highly resistant to LCB1's inhibition. In this study, we first identified a truncated peptide termed LCB1v8, which maintained the high antiviral potency. Then, a group of lipopeptides were generated by modifying LCB1v8 with diverse lipids, and of two lipopeptides, the C-terminally stearicacid-conjugtaed LCB1v17 and cholesterol-conjugated LCB1v18, were highly effective in inhibiting both S protein-pseudovirus and authentic SARS-CoV-2 infections. We further showed that LCB1-based inhibitors had similar α-helicity and thermostability in structure and bound to the target-mimic RBD protein with high affinity, and the lipopeptides exhibited greatly enhanced binding with the viral and cellular membranes, improved inhibitory activities against emerging SARS-CoV-2 variants. Moreover, LCB1v18 was validated with high preventive and therapeutic efficacies in K18-hACE2 transgenic mice against lethal SARS-CoV-2 challenge. In conclusion, our studies have provided important information for understanding the structure and activity relationship (SAR) of LCB1 inhibitor and would guide the future development of novel antivirals.

Resistance profile and mechanism of severe acute respiratory syndrome coronavirus-2 variants to LCB1 inhibitor targeting the spike receptor-binding motif.

LCB1 is a 56-mer miniprotein computationally designed to target the spike (S) receptor-binding motif of SARS-CoV-2 with potent in vitro and in vivo inhibitory activities (Cao et al., 2020; Case et al., 2021). However, the rapid emergence and epidemic of viral variants have greatly impacted the effectiveness of S protein-targeting vaccines and antivirals. In this study, we chemically synthesized a peptide-based LCB1 inhibitor and characterized the resistance profile and underlying mechanism of SARS-CoV-2 variants. Among five variants of concern (VOCs), we found that pseudoviruses of Beta, Gamma, and Omicron were highly resistant to the LCB1 inhibition, whereas the pseudoviruses of Alpha and Delta as well as the variant of interest (VOI) Lambda only caused mild resistance. By generating a group of mutant viruses carrying single or combination mutations, we verified that K417N and N501Y substitutions in RBD critically determined the high resistance phenotype of VOCs. Furthermore, a large panel of 85 pseudoviruses with naturally occurring RBD point-mutations were generated and applied to LCB1, which identified that E406Q, K417N, and L455F conferred high-levels of resistance, when Y505W caused a ∼6-fold resistance fold-change. We also showed that the resistance mutations could greatly weaken the binding affinity of LCB1 to RBD and thus attenuated its blocking capacity on the interaction between RBD and the cell receptor ACE2. In conclusion, our data have provided crucial information for understanding the mechanism of SARS-CoV-2 resistance to LCB1 and will guide the design strategy of novel LCB1-based antivirals against divergent VOCs and evolutionary mutants.

Potent inhibition of diverse Omicron sublineages by SARS-CoV-2 fusion-inhibitory lipopeptides.

The emergence and rapid spreading of SARS-CoV-2 variants of concern (VOCs) have posed a great challenge to the efficacy of vaccines and therapeutic antibodies, calling for antivirals that can overcome viral evasion. We recently reported that SARS-CoV-2 fusion-inhibitory lipopeptides, IPB02V3 and IPB24, possessed the potent activities against divergent VOCs, including Alpha, Beta, Gamma, Delta, and the initial Omicron strain (B.1.1.529); however, multiple Omicron sublineages have emerged and BA.4/5 is now becoming predominant globally. In this study, we focused on characterizing the functionality of the spike (S) proteins derived from Omicron sublineages and their susceptibility to the inhibition of IPB02V3 and IPB24. We first found that the S proteins of BA.2, BA.2.12.1, BA.3, and BA.4/5 exhibited significantly increased cell fusion capacities compared to BA.1, whereas the pseudoviruses of BA.2.12.1, BA.3, and BA.4/5 had significantly increased infectivity relative to BA.1 or BA.2. Next, we verified that IPB02V3 and IPB24 also maintained their very high potent activities in inhibiting diverse Omicron sublineages, even with enhanced potencies relative to the inhibition on ancestral virus. Moreover, we demonstrated that evolved Omicron mutations in the inhibitor-binding heptad repeat 1 (HR1) site could impair the S protein-driven cell fusogenicity and infectivity, but none of single or combined mutations affected the antiviral activity of IPB02V3 and IPB24. Therefore, we believe that viral fusion inhibitors possess high potential to be developed as effective drugs for fighting SARS-CoV-2 variants including diverse Omicron sublineages.

SARS-CoV-2 fusion-inhibitory lipopeptides maintain high potency against divergent variants of concern including Omicron.

The emergence of SARS-CoV-2 Omicron and other variants of concern (VOCs) has brought huge challenges to control the COVID-19 pandemic, calling for urgent development of effective vaccines and therapeutic drugs. In this study, we focused on characterizing the impacts of divergent VOCs on the antiviral activity of lipopeptide-based fusion inhibitors that we previously developed. First, we found that pseudoviruses bearing the S proteins of five VOCs (Alpha, Beta, Gamma, Delta, and Omicron) and one variant of interest (Lambda) exhibited greatly decreased infectivity relative to the wild-type (WT) strain or single D614G mutant, especially the Omicron pseudovirus. Differently, the most of variants exhibited an S protein with significantly enhanced cell fusion activity, whereas the S protein of Omicron still mediated decreased cell-cell fusion. Next, we verified that two lipopeptide-based fusion inhibitors, IPB02V3 and IPB24, maintained the highly potent activities in inhibiting various S proteins-driven cell fusion and pseudovirus infection. Surprisingly, both IPB02V3 and IPB24 lipopeptides displayed greatly increased potencies against the infection of authentic Omicron strain relative to the WT virus. The results suggest that Omicron variant evolves with a reduced cell fusion capacity and is more sensitive to the inhibition of fusion-inhibitory lipopeptides; thus, IPB02V3 and IPB24 can be further developed as potent, broad-spectrum antivirals for combating Omicron and the potential future outbreak of other emerging variants.

Antiviral Properties of Silver Nanoparticles against SARS-CoV-2: Effects of Surface Coating and Particle Size.

Coronavirus disease 2019 (COVID-19) has spread rapidly and led to over 5 million deaths to date globally. Due to the successively emerging mutant strains, therapeutics and prevention against the causative virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), are urgently needed. Prevention of SARS-CoV-2 infection in public and hospital areas is essential to reduce the frequency of infections. Silver nanoparticles (AgNPs) with virucidal effects have been reported. Therefore, we investigated the virucidal activity and safety of ten types of AgNPs with different surface modifications and particle sizes, in cells exposed to SARS-CoV-2 in vitro. The AgNPs could effectively inhibit the activity of SARS-CoV-2, and different surface modifications and particle sizes conferred different virucidal effects, of which 50-nm BPEI showed the strongest antiviral effect. We concluded that the efficacy of each type of AgNP type was positively correlated with the corresponding potential difference (R2 = 0.82). These in vitro experimental data provide scientific support for the development of therapeutics against COVID-19, as well as a research basis for the development of broad-spectrum virucides. Given the increasing acquired resistance of pathogens against conventional chemical and antibody-based drugs, AgNPs may well be a possible solution for cutting off the route of transmission, either as an external material or a potential medicine.

Virtual Reality or Augmented Reality as a Tool for Studying Bystander Behaviors in Interpersonal Violence: Scoping Review.

BACKGROUND: To provide participants with a more real and immersive intervening experience, virtual reality (VR) and/or augmented reality (AR) technologies have been integrated into some bystander intervention training programs and studies measuring bystander behaviors. OBJECTIVE: We focused on whether VR or AR can be used as a tool to enhance training bystanders. We reviewed the evidence from empirical studies that used VR and/or AR as a tool for examining bystander behaviors in the domain of interpersonal violence research. METHODS: Two librarians searched for articles in databases, including APA PsycInfo (Ovid), Criminal Justice Abstracts (EBSCO), Medline (Ovid), Applied Social Sciences Index & Abstracts (ProQuest), Sociological Abstracts (ProQuest), and Scopus till April 15, 2020. Studies focusing on bystander behaviors in conflict situations were included. All study types (except reviews) written in English in any discipline were included. RESULTS: The search resulted in 12,972 articles from six databases, and the articles were imported into Covidence. Eleven studies met the inclusion and exclusion criteria. All 11 articles examined the use of VR as a tool for studying bystander behaviors. Most of the studies were conducted in US young adults. The types of interpersonal violence were school bullying, dating violence, sexual violence/assault, and soccer-associated violence. VR technology was used as an observational measure and bystander intervention program. We evaluated the different uses of VR for bystander behaviors and noted a lack of empirical evidence for AR as a tool. We also discuss the empirical evidence regarding the design, effectiveness, and limitations of implementing VR as a tool in the reviewed studies. CONCLUSIONS: The reviewed results have implications and recommendations for future research in designing and implementing VR/AR technology in the area of interpersonal violence. Future studies in this area may further contribute to the use of VR as an observational measure and explore the potential use of AR to study bystander behaviors.

Clinical characteristics of 14 COVID-19 deaths in Tianmen, China: a single-center retrospective study.

BACKGROUND: The treatment of critically ill patients with COVID-19 who were hospitalized in Wuhan has been reported. However, the clinical characteristics of patients who died of COVID-19 in regions with relatively scarce healthcare resources remain unknown. METHODS: In this retrospective study, a total of 14 patients who were admitted from January 18 to February 11, 2020 and died of COVID-19 were evaluated. The epidemiological, symptomatic, laboratory, radiological and treatment records were reviewed and analyzed. RESULTS: The mean age of the 14 patients was 56.7 (SD 15.3) years, and 8 (57.1%) were older than 50 years. Eight (57.1%) were men, and 11 (78.6%) had one or more high risk factors. The most common chronic diseases among these patients were cardiovascular disease (7, 50.0%), hypertension (6, 42.9%), and chronic kidney disease (5, 35.7%). General symptoms included cough (12, 85.7%), fever (11, 78.6%), and dyspnea (10, 71.4%). The median duration from the onset of symptoms to death was 11 (IQR 6.5-19.5) days, and the median duration from admission to death was 4.5 (1.0-11.8) days. Patients who died within 4.5 days had more severe pulmonary lesions, significantly reduced lymphocytes and elevated C-reactive protein (CRP). Most patients had organ dysfunction, including 13 (92.9%) with acute respiratory distress syndrome (ARDS), 4 (28.6%) with cardiac injury, 3 (21.4%) with acute kidney injury, and 3 (21.4%) with liver dysfunction. CONCLUSIONS: Elderly SARS-CoV-2-infected patients with comorbidities, especially those with ARDS and severe chest CT findings on admission, are at increased risk of death and deserve special attention and quality medical treatment.

Clinical characteristics on admission predict in-hospital fatal outcome in patients aged ≥75 years with novel coronavirus disease (COVID-19): a retrospective cohort study.

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) has become a worldwide pandemic and precise fatality data by age group is needed urgently. This study to delineate the clinical characteristics and outcome of COVID-19 patients aged ≥75 years and identify the risk factors of in-hospital death. METHODS: A total of 141 consecutive patients aged ≥75 years who were admitted to the hospital between 12th and 19th February 2020. In-hospital death, clinical characteristics and laboratory findings on admission were obtained from medical records. The final follow-up observation was on the 31st March 2020. RESULTS: The median age was 81 years (84 female, 59.6%). Thirty-eight (27%) patients were classified as severe or critical cases. 18 (12.8%) patients had died in hospital and the remaining 123 were discharged. Patients who died were more likely to present with fever (38.9% vs. 7.3%); low percutaneous oxygen saturation (SpO2) (55.6% vs. 7.3%); reduced lymphocytes (72.2% vs. 35.8%) and platelets (27.8% vs. 4.1%); and increased D-dimer (94.4% vs. 42.3%), creatinine (50.0% vs. 22.0%), lactic dehydrogenase (LDH) (77.8% vs. 30.1%), high sensitivity troponin I (hs-TnI) (72.2% vs. 14.6%), and N-terminal pro-brain natriuretic peptide (NT-proBNP) (72.2% vs. 6.5%; all P < 0.05) than patients who recovered. Male sex (odds ratio [OR] = 13.1, 95% confidence interval [CI] 1.1 to 160.1, P = 0.044), body temperature > 37.3 °C (OR = 80.5, 95% CI 4.6 to 1407.6, P = 0.003), SpO2 ≤ 90% (OR = 70.1, 95% CI 4.6 to 1060.4, P = 0.002), and NT-proBNP> 1800 ng/L (OR = 273.5, 95% CI 14.7 to 5104.8, P < 0.0001) were independent risk factors of in-hospital death. CONCLUSIONS: In-hospital fatality among elderly COVID-19 patients can be estimated by sex and on-admission measurements of body temperature, SpO2, and NT-proBNP.

Communication on the prevention and treatment of COVID-19 epidemic between Anhui Province of China and federal districts along the Volga river in Russia

The ongoing coronavirus infection (COVID19) pandemic is associated with high rates of morbidity and mortality. Russia, as a transport hub between Europe and Asia, has been hit hard by COVID19. The aim of this publication is to present the materials of a teleconference held between experts from Anhui province in China and experts from the federal districts of Russia. Material and methods. Discussion of methods of prevention and treatment of the new coronavirus infection COVID19, as well as issues affecting the immune aspects of the disease, complications and possible longterm followup for patients after a new coronavirus infection. Results and discussion. The situation was especially difficult for the federal district along the Volga River, so we shared and discussed questions on the prevention and treatment of the COVID19 epidemic, which were asked by the experts of the region. Conclusion. The presented article is the result of an online meeting of the doctors from the Volga region of Russia with experts from Anhui province in China.

Dynamic changes of Chest CT follow-up in Coronavirus Disease-19 (COVID-19) pneumonia: relationship to clinical typing.

BACKGROUND: To investigate the CT changes of different clinical types of COVID-19 pneumonia. METHODS: This retrospective study included 50 patients with COVID-19 from 16 January 2020 to 25 February 2020. We analyzed the clinical characteristics, CT characteristics and the pneumonia involvement of the patients between the moderate group and the severe and critical group, and the dynamic changes of severity with the CT follow-up time. RESULTS: There were differences in the CT severity score of the right lung in the initial CT, and total CT severity score in the initial and follow-up CT between the moderate group and the severe and critical group (all p < 0.05). There was a quadratic relationship between total CT severity score and CT follow-up time in the severe and critical group (r2 = 0.137, p = 0.008), the total CT severity score peaked at the second follow-up CT. There was no correlation between total CT severity score and CT follow-up time in the moderate group (p > 0.05). There were no differences in the occurrence rate of CT characteristics in the initial CT between the two groups (all p > 0.05). There were differences in the occurrence rate of ground-glass opacity and crazy-paving pattern in the second follow-up CT, and pleural thickening or adhesion in the third follow-up CT between the two groups (all p < 0.05). CONCLUSIONS: The CT changes of COVID-19 pneumonia with different severity were different, and the extent of pneumonia involvement by CT can help to assess the severity of COVID-19 pneumonia rather than the initial CT characteristics.