The effect of environmental factors on precocious puberty in children: a case-control study.

BACKGROUND: Recently the prevalence of precocious puberty development is increasing among Chinese children. Proper understanding of the risk factors for precocious puberty in children is pivotal as could help to improve children's health. This study aims to evaluate the effect of environmental factors on precocious puberty in children. METHODS: We matched the cases and controls by age at the ratio of 1:1 (201 cases and 201 controls) for girls and 1:4 (24 cases and 96 controls) for boys. We used conditional logistic regression to explore the effect of environmental factors on precocious puberty, and a random forest model to identify the most important risk factor. RESULTS: In the multivariate regression, cesarean section (OR = 1.99, 95% CI: 1.05, 3.76), child body mass index [BMI] (OR = 1.25, 95% CI: 1.10, 1.43), maternal BMI (OR = 1.13, 95%CI: 1.01, 1.26), and exposure to secondhand smoke several times a month but less than once a week (OR = 4.09, 95%CI: 1.79,9.35), and almost every day (OR = 6.48, 95% CI: 2.14, 19.56) were risk factors for precocious puberty in girls. While maternal height (OR = 0.82, 95% CI: 0.75, 0.88), paternal height (OR = 0.91, 95% CI: 0.85, 0.98), bedtime at night (OR = 0.30, 95% CI: 0.17, 0.51), and night sleep (OR = 0.43, 95% CI: 0.21, 0.86) were protective factors. In boys, only exposure to secondhand smoke several times a month but less than once a week (OR = 7.94, 95% CI: 1.25, 50.33) was a risk factor for precocious puberty. In the random forest model, Child BMI was the most important risk factor for precocious puberty in girls. CONCLUSIONS: Our findings suggest that environmental factors were associated with precocious puberty in children, particularly in girls.

Anxiety and depression among pregnant women undergoing IVF-ET and WeChat group peer support during the COVID-19 pandemic: Study protocol for a randomized controlled trial.

INTRODUCTION: The psychological well-being of pregnant women following assisted reproductive has increasingly gained attention in recent years. Anxiety and depression may be associated to pregnancy outcomes. This study aims to determine whether peer support and the WeChat group platform will reduce anxiety and depression among in vitro fertilization and embryo transfer (IVF-ET) women. METHODS AND ANALYSIS: In the present randomized controlled study, 296 patients with confirmed clinical pregnancy following IVF-ET will be randomly assigned to receive standard intervention support or WeChat peer support on a 1:1 basis. The levels of anxiety and depression are the primary endpoints. Assessments will be performed at baseline measurements, first trimester, second trimester, and third trimester, and data will be collected. ETHICS AND DISSEMINATION: This study has been approved as ethical by the affiliated hospital of Shandong University of Traditional Chinese Medicine's Reproductive Ethics Committee. Each patient will sign a written statement of informed permission. All information and biological samples will be legally protected. A peer-reviewed academic journal will publish the findings of this investigation. DISCUSSION: Given the inconvenience of visits due to the current pandemic of COVID-19, this study addresses the patient's visit needs by combining WeChat, the most widely used social software in China, with peer support, while helping improve maternal anxiety, depression, and pregnancy outcomes following IVF-ET.

Portable Paper-Based Nucleic Acid Enrichment for Field Testing.

Point-of-care testing (POCT) can be the method of choice for detecting infectious pathogens; these pathogens are responsible for not only infectious diseases such as COVID-19, but also for certain types of cancers. For example, infections by human papillomavirus (HPV) or Helicobacter pylori (H. pylori) are the main cause of cervical and stomach cancers, respectively. COVID-19 and many cancers are treatable with early diagnoses using POCT. A variety of nucleic acid testing have been developed for use in resource-limited environments. However, questions like unintegrated nucleic acid extraction, open detection systems increase the risk of cross-contamination, and dependence on expensive equipment and alternating current (AC) power supply, significantly limit the application of POCT, especially for on-site testing. In this paper, a simple portable platform is reported capable of rapid sample-to-answer testing within 30 min based on recombinase polymerase amplification (RPA) at a lower temperature, to detect SARS-CoV-2 virus and H. pylori bacteria with a limit of detection as low as 4 × 102 copies mL-1 . The platform used a battery-powered portable reader for on-chip one-pot amplification and fluorescence detection, and can test for multiple (up to four) infectious pathogens simultaneously. This platform can provide an alternative method for fast and reliable on-site diagnostic testing.

Isolation,identification, and genetic evolution analysis of variant strain CH-HK-2021 of G2a porcine epidemic diarrhea virus

Object: To explore genetic evolution relationship of variant porcine epidemic diarrhea virus(PEDV)and antigenic differential sites among variant strain subtypes,so as to lay a foundation for the development of novel vaccines and diagnostic kits. Method: Three PEDV-positive porcine intestinal samples were inoculated on to confluent Vero cells to isolate PEDV. Virus identification was performed by indirect fluorescence assay(IFA), Western blotting,RT-PCR and whole genome sequencing and electron microscopic observation;virus titer was determined by TCID50and the in vitvo proliferation dynamin curve of the virus was drawn. The genome of the isolated strain was divided into 33 segments for RT-PCR amplification, and the SeqMan of Lasergene was used to splice sequences. Then the genetic evolution analysis was performed with MEGA 7.0, and the antigenicity analysis was performed with Jameson-Wolf algorithm in Protean. Result: Typical cytopathic effect appeared in one PEDV-positive porcine intestinal sample in Vero cells when it was blindly passaged to the 6thgeneration and the sample was designated as CH-HK-2021. IFA and Western blotting results showed that the strain CH-HK-2021 could react with PEDV N monoclonal antibody and expected reads were obtained through RT-PCR amplification, which demonstrated this virus was PEDV. Diameter of strain CH-HK-2021 was 80-120 nm and the surface of the virus particles were in spike-like shape, indicating it was coronavirus. The strain could be stably propagated in Vero cells, and it has been passaged to 100thgeneration. After 24 h of infecting the Vero cells, virus titer of strain CH-HK-2021 reached the highest,105.6TCID50/mL. The size whole genome of strain CH-HK-2021 not including poly(A)tail was 28034 bp, with a similarity of 96.0%-98.9% with nucleotide sequence of the PEDV reference strain and a similarity of 93.1%-99.0% with S-base nucleotide sequence of the reference strain. The strain had the highest similarity with nucleotide sequence of variant strain CH/JX/01(KX058031)and the lowest similarity with nucleotide sequence of classical strain AVCT12(LC053455). Strain CH-HK-2021 was a subtype of G2a and it is spreading in China. Strain G2a and variant strain G2b had 42 nucleotide differential sites in S gene and 6 antigenic differential sites;and main differential sites located in subunit S2.

Analysis of individual characteristics influencing user polarization in COVID-19 vaccine hesitancy.

During the COVID-19 pandemic, vaccine hesitancy proved to be a major obstacle in efforts to control and mitigate the negative consequences of COVID-19. This study centered on the degree of polarization on social media about vaccine use and contributing factors to vaccine hesitancy among social media users. Examining the discussion about COVID-19 vaccine on the Weibo platform, a relatively comprehensive system of user features was constructed based on psychological theories and models such as the curiosity-drive theory and the big five model of personality. Then machine learning methods were used to explore the paramount impacting factors that led users into polarization. Findings revealed that factors reflecting the activity and effectiveness of social media use promoted user polarization. In contrast, features reflecting users' information processing ability and personal qualities had a negative impact on polarization. This study hopes to help healthcare organizations and governments understand and curb social media polarization around vaccine development in the face of future surges of pandemics.

Experience of clinical nurses engaged in caring for patients with COVID-19: A qualitative systematic review and meta-synthesis.

AIMS AND OBJECTIVE: This qualitative review summarises and synthesises the available evidence on subjective experiences of clinical nurses who cared for patients with COVID-19. BACKGROUND: Nurses are first responders and play a vital role in emerging infectious disease epidemics such as the COVID-19 pandemic. In this context, they also face many difficulties and challenges related, for example to the imbalance between extensive demands and low control over work tasks. DESIGN AND METHOD: A systematic review of qualitative studies and meta-synthesis focused on the experiences of clinical nurses caring for patients with COVID-19 during the pandemic was carried out. RESULTS: A total of 279 findings were extracted, aggregated into 21 categories and combined into seven synthesised findings, namely (1) professional nursing practice during the pandemic, (2) support systems, (3) somatic sensations and psychological experiences, (4) difficulties and challenges, (5) coping strategies and behaviour, (6) impact on life, profession and values, and (7) needs and expectations for the future. CONCLUSION: Nurses encountered considerable difficulties and challenges in caring for patients with COVID-19. Nurses caring for patients with COVID-19 need more support from organisations, families and society. It is essential to explore positive coping strategies suitable for working in different cultural backgrounds. Policymakers and decision-makers should pay attention to the experiences and voices of nurses. RELEVANCE TO CLINICAL PRACTICE: It is critical for nurse managers to consider how to enhance the support system and help nurses develop adaptive coping strategies in response to COVID-19. Nurses' experiences and voices are valuable in improving health emergency response systems. PATIENT OR PUBLIC CONTRIBUTION: There was no patient or public contribution.

Anxiety and depression among pregnant women undergoing IVF-ET and WeChat group peer support during the COVID-19 pandemic: Study protocol for a randomized controlled trial

Introduction: The psychological well-being of pregnant women following assisted reproductive has increasingly gained attention in recent years. Anxiety and depression may be associated to pregnancy outcomes. This study aims to determine whether peer support and the WeChat group platform will reduce anxiety and depression among in vitro fertilization and embryo transfer (IVF-ET) women. Methods and Analysis: In the present randomized controlled study, 296 patients with confirmed clinical pregnancy following IVF-ET will be randomly assigned to receive standard intervention support or WeChat peer support on a 1:1 basis. The levels of anxiety and depression are the primary endpoints. Assessments will be performed at baseline measurements, first trimester, second trimester, and third trimester, and data will be collected. Ethics and Dissemination: This study has been approved as ethical by the affiliated hospital of Shandong University of Traditional Chinese Medicine's Reproductive Ethics Committee. Each patient will sign a written statement of informed permission. All information and biological samples will be legally protected. A peer-reviewed academic journal will publish the findings of this investigation. Discussion: Given the inconvenience of visits due to the current pandemic of COVID-19, this study addresses the patient's visit needs by combining WeChat, the most widely used social software in China, with peer support, while helping improve maternal anxiety, depression, and pregnancy outcomes following IVF-ET.

Opinion Leaders and Structural Hole Spanners Influencing Echo Chambers in Discussions About COVID-19 Vaccines on Social Media in China: Network Analysis.

BACKGROUND: Social media provide an ideal medium for breeding and reinforcing vaccine hesitancy, especially during public health emergencies. Algorithmic recommendation-based technology along with users' selective exposure and group pressure lead to online echo chambers, causing inefficiency in vaccination promotion. Avoiding or breaking echo chambers largely relies on key users' behavior. OBJECTIVE: With the ultimate goal of eliminating the impact of echo chambers related to vaccine hesitancy on social media during public health emergencies, the aim of this study was to develop a framework to quantify the echo chamber effect in users' topic selection and attitude contagion about COVID-19 vaccines or vaccinations; detect online opinion leaders and structural hole spanners based on network attributes; and explore the relationships of their behavior patterns and network locations, as well as the relationships of network locations and impact on topic-based and attitude-based echo chambers. METHODS: We called the Sina Weibo application programming interface to crawl tweets related to the COVID-19 vaccine or vaccination and user information on Weibo, a Chinese social media platform. Adopting social network analysis, we examined the low echo chamber effect based on topics in representational networks of information, according to attitude in communication flow networks of users under different interactive mechanisms (retweeting, commenting). Statistical and visual analyses were used to characterize behavior patterns of key users (opinion leaders, structural hole spanners), and to explore their function in avoiding or breaking topic-based and attitude-based echo chambers. RESULTS: Users showed a low echo chamber effect in vaccine-related topic selection and attitude interaction. For the former, the homophily was more obvious in retweeting than in commenting, whereas the opposite trend was found for the latter. Speakers, replicators, and monologists tended to be opinion leaders, whereas common users, retweeters, and networkers tended to be structural hole spanners. Both leaders and spanners tended to be "bridgers" to disseminate diverse topics and communicate with users holding cross-cutting attitudes toward COVID-19 vaccines. Moreover, users who tended to echo a single topic could bridge multiple attitudes, while users who focused on diverse topics also tended to serve as bridgers for different attitudes. CONCLUSIONS: This study not only revealed a low echo chamber effect in vaccine hesitancy, but further elucidated the underlying reasons from the perspective of users, offering insights for research about the form, degree, and formation of echo chambers, along with depolarization, social capital, stakeholder theory, user portraits, dissemination pattern of topic, and sentiment. Therefore, this work can help to provide strategies for public health and public opinion managers to cooperate toward avoiding or correcting echo chamber chaos and effectively promoting online vaccine campaigns.

Transcriptomic perspectives of memory-like NK cells and aging.

A recent study highlights the presence of a unique memory-like natural killer (NK) cell subset, which accumulates with aging and appears to associate withdisease severity in COVID-19 patients. While the clinical relevance of memory in NK cells is being debated, the molecular identity of this subset in the form of a single-cell transcriptome is essential to define their origin, longevity, functions, and disease relevance.

The popularity of contradictory information about COVID-19 vaccine on social media in China.

To eliminate the impact of contradictory information on vaccine hesitancy on social media, this research developed a framework to compare the popularity of information expressing contradictory attitudes towards COVID-19 vaccine or vaccination, mine the similarities and differences among contradictory information's characteristics, and determine which factors influenced the popularity mostly. We called Sina Weibo API to collect data. Firstly, to extract multi-dimensional features from original tweets and quantify their popularity, content analysis, sentiment computing and k-medoids clustering were used. Statistical analysis showed that anti-vaccine tweets were more popular than pro-vaccine tweets, but not significant. Then, by visualizing the features' centrality and clustering in information-feature networks, we found that there were differences in text characteristics, information display dimension, topic, sentiment, readability, posters' characteristics of the original tweets expressing different attitudes. Finally, we employed regression models and SHapley Additive exPlanations to explore and explain the relationship between tweets' popularity and content and contextual features. Suggestions for adjusting the organizational strategy of contradictory information to control its popularity from different dimensions, such as poster's influence, activity and identity, tweets' topic, sentiment, readability were proposed, to reduce vaccine hesitancy.

A Retrospective Study on the Eye-Related Quality of Life, Functional Vision, and Their Determinants Among Children Following Congenital and Developmental Cataracts Surgery and Its Impact on Their Families Using the PedEyeQ.

Objectives: To evaluate the eye-related quality of life (ER-QOL), functional vision, and their determinants in children following congenital and developmental cataract surgery, as the impact on their families, using the Pediatric Eye Questionnaire (PedEyeQ). Materials and Methods: This was a retrospective cross-sectional study involving 107 children (aged 0-11 years) with congenital and developmental cataracts who had undergone surgery, as well as 59 visually healthy controls (aged 0-11 years). One parent for each child completed either the Proxy 0-4 PedEyeQ, the Proxy 5-11 PedEyeQ, or the Parent PedEyeQ, depending on their child's age. Mann-Whitney U and Kruskal-Wallis tests were then conducted to compare the differences between groups and to analyze their determinants. Results: PedEyeQ scores were found to be lower in postoperative children with congenital and developmental cataracts compared with the control group across all study domains. The PedEyeQ Proxy 0 to 4 years' greatest mean difference was 27 points worse in the Functional Vision domain (95% CI -34 to -19; p < 0.001). We also found that the occurrence of nystagmus (p < 0.005) and strabismus (p < 0.005) were the major factors affecting participants' functional vision. The PedEyeQ Proxy 5 to 11 years' greatest mean difference was 23 points worse in this same domain (95% CI -30 to -15; p < 0.001), with nystagmus (p < 0.05) being the main determinant herein. Parent PedEyeQ 0 to 4 years' greatest difference was 46 points worse on the Worry about their Child's Eye Condition domain (95% CI -57 to -36; p < 0.001). Similarly, parents of children with ophthalmologic abnormalities, including nystagmus (p < 0.001) and strabismus (p < 0.05), were significantly more worried about their children's eye condition. Parent PedEyeQ 5 to 11 years' greatest difference was also found to be 30 points worse on the Worry about their Child's Eye Condition domain (95% CI -43 to -17; p < 0.005). Conclusions: Children who have undergone congenital and developmental cataract surgery experience a lower quality of life and reduced functional vision. Their families are also significantly and adversely affected herein. Thus, more attention is needed on these groups, with more focused measures being administered to both children and their families.

Exploring the Anti-Pulmonary Fibrosis Mechanism of Jingyin Granule by Network Pharmacology Strategy.

Pulmonary fibrosis (PF) is a clinically common disease caused by many factors, which will lead to lung function decline and even respiratory failure. Jingyin granule has been confirmed to have anti-inflammatory and antiviral effects by former studies, and has been recommended for combating H1N1 influenza A virus (H1N1) infection and Coronavirus disease 2019 (COVID-19) in China. At present, studies have shown that patients with severe COVID-19 infection developed lung fibrotic lesions. Although Jingyin granule can improve symptoms in COVID-19 patients, no study has yet reported whether it can attenuate the process of PF. Here, we explored the underlying mechanism of Jingyin granule against PF by network pharmacology combined with in vitro experimental validation. In the present study, the active ingredients as well as the corresponding action targets of Jingyin granule were firstly collected by TCMSP and literature data, and the disease target genes of PF were retrieved by disease database. Then, the common targets were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and then a PPI network and an ingredient-target network were constructed. Next, UPLC-MS was used to isolate and identify selected representative components in Jingyin granule. Finally, LPS was used to induce the A549 cell fibrosis model to verify the anti-PF effect of Jingyin granule in vitro. Our results indicated that STAT3, JUN, RELA, MAPK3, TNF, MAPK1, IL-6, and AKT1 were core targets of action and bound with good affinity to selected components, and Jingyin granule may alleviate PF progression by Janus kinase 2/signal transducers and activators of transcription (JAK2/STAT3), the mammalian nuclear factor-κB (NF-κB), the phosphatidylinositol 3-kinase (PI3K)/protein kinase B (Akt), tumor necrosis factor (TNF), and the extracellular signal-regulated kinases 1 and 2 (ERK1/2) signaling pathways. Overall, these results provide future therapeutic strategies into the mechanism study of Jingyin granule on PF.

Biological, Family and Cultural Predictors of Personality Structure analysis based on personality prediction models constructed by open data source (preprint)

Objective: This study takes further step on understanding personality structure in order to cope with the mental health during the COVID-19 global pandemic situation. Methods: Categorized the independent variables into biological, family and cultural predictors according to the datasets of the Big-5 personality survey online. And established multiple regression prediction models and exhaustive CHAID decision tree model of each personality trait. Results: Females are different from males in personality. The personality changes when growing. One-handed dominants are less agreeable and open than those who use both hands. Different sexual orientation does have variety personality. Native language used and education attainment is significantly related to personality accordingly. Marriage did help shaping personality to be more extroverted, less neurotic or agreeable and more conscientious and open. People raised in urban are more agreeable and open. Neurotic and open people often come from small families. person participated in voting are more extroverted, conscientious and open but less neurotic and agreeable. Different religions and races have different characteristics in each dimension of personality and there is no clear pattern have been found. Conclusion: Personality traits are indeed affected by multiple confounding factors. but the exploration on multiple cultures predictors still needed more details

Characteristics and relationship between self-efficacy and physical activity of college students during COVID-19 epidemic

Objective: To explore the characteristics and relationship between physical activity and self-efficacy of college students during the COVID-19 epidemic, so as to provide evidence for the orderly development of physical education and curriculum reform of college students after their return to school.

The echo chamber effect of rumor rebuttal behavior of users in the early stage of COVID-19 epidemic in China.

During public health emergencies, as one of the most effective rumor management strategies, rumor rebuttals depend on users' cognition, decision-making and interactive behaviors. Taking the dissemination of rumor rebuttals related to COVID-19 epidemic in the early stage in China as an example, we firstly adapted network analysis to construct representative networks of information and communication flow networks of users based on users' retweeting and commenting behaviors. Then quantitative indicators and exponential random graph models were used to evaluate the level of homophily based on topic and veracity in information networks, identity and standpoint in user networks. Meanwhile, chi square tests were added to compare the degree of echo chamber effect in retweeting and commenting. Findings showed that, users did show significant echo chamber effect when retweeting or commenting on rumor rebuttal information with different veracity. They showed diversification when retweeting but a certain tendency and pertinence when commenting in topic selection. Weibo's direct and open platform for retweeting and commenting broke the boundaries between stakeholders from different professional fields. However, the retweeting mechanism promoted self-isolation of users' standpoints, while the commenting mechanism provided an understanding and integrating channel for groups with opposing standpoints.

Comprehensive landscape of the renin-angiotensin system in Pan-cancer: a potential downstream mediated mechanism of SARS-CoV-2.

Background: SARS-CoV-2, the cause of the worldwide COVID-19 pandemic, utilizes the mechanism of binding to ACE2 (a crucial component of the renin-angiotensin system [RAS]), subsequently mediating a secondary imbalance of the RAS family and leading to severe injury to the host. However, very few studies have been conducted to reveal the mechanism behind the effect of SARS-CoV-2 on tumors. Methods: Demographic data extracted from 33 cancer types and over 10,000 samples were employed to determine the comprehensive landscape of the RAS. Expression distribution, pretranscriptional and posttranscriptional regulation and posttranslational modifications (PTMs) as well as genomic alterations, DNA methylation and m6A modification were analyzed in both tissue and cell lines. The clinical phenotype, prognostic value and significance of the RAS during immune infiltration were identified. Results: Low expression of AGTR1 was common in tumors compared to normal tissues, while very low expression of AGTR2 and MAS1 was detected in both tissues and cell lines. Differential expression patterns of ACE in ovarian serous cystadenocarcinoma (OV) and kidney renal clear cell carcinoma (KIRC) were correlated with ubiquitin modification involving E3 ligases. Genomic alterations of the RAS family were infrequent across TCGA pan-cancer program, and ACE had the highest alteration frequency compared with other members. Low expression of AGTR1 may result from hypermethylation in the promoter. Downregulation of RAS family was linked to higher clinical stage and worse survival (as measured by disease-specific survival [DSS], overall survival [OS] or progression-free interval [PFI]), especially for ACE2 and AGTR1 in KIRC. ACE-AGTR1, a classical axis of the RAS family related to immune infiltration, was positively correlated with M2-type macrophages, cancer-associated fibroblasts (CAFs) and immune checkpoint genes in most cancers. Conclusion: ACE, ACE2, AGT and AGTR1 were differentially expressed in 33 types of cancers. PTM of RAS family was found to rely on ubiquitination. ACE2 and AGTR1 might serve as independent prognostic factors for LGG and KIRC. SARS-CoV-2 might modify the tumor microenvironment by regulating the RAS family, thus affecting the biological processes of cancer.

COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study.

BACKGROUND: The COVID-19 outbreak has tremendously impacted the world. The number of confirmed cases has continued to increase, causing damage to society and the economy worldwide. The public pays close attention to information on the pandemic and learns about the disease through various media outlets. The dissemination of comprehensive and accurate COVID-19 information that the public needs helps to educate people so they can take preventive measures. OBJECTIVE: This study aimed to examine the dissemination of COVID-19 information by analyzing the information released by the official WeChat account of the People's Daily during the pandemic. The most-read COVID-19 information in China was summarized, and the factors that influence information dissemination were studied to understand the characteristics that affect its dissemination. Moreover, this was conducted in order to identify how to effectively disseminate COVID-19 information and to provide suggestions on how to manage public opinion and information governance during a pandemic. METHODS: This was a retrospective study based on a WeChat official account. We collected all COVID-19-related information, starting with the first report about COVID-19 from the People's Daily and ending with the last piece of information about lifting the first-level emergency response in 34 Chinese provinces. A descriptive analysis was then conducted on this information, as well as on Qingbo Big Data's dissemination index. Multiple linear regression was utilized to study the factors that affected information dissemination based on various characteristics and the dissemination index. RESULTS: From January 19 to May 2, 2020, the People's Daily released 1984 pieces of information; 1621 were related to COVID-19, which mainly included headline news items, items with emotional content, and issues related to the pandemic's development. By analyzing the dissemination index, seven information dissemination peaks were discerned. Among the three dimensions of COVID-19 information-media salience, content, and format-eight factors affected the spread of COVID-19 information. CONCLUSIONS: Different types of pandemic-related information have varying dissemination power. To effectively disseminate information and prevent the spread of COVID-19, we should identify the factors that affect this dissemination. We should then disseminate the types of information the public is most concerned about, use information to educate people to improve their health literacy, and improve public opinion and information governance.

Inhibition of drug-metabolizing enzymes by Jingyin granules: implications of herb-drug interactions in antiviral therapy.

Jingyin granules, a marketed antiviral herbal medicine, have been recommended for treating H1N1 influenza A virus infection and Coronavirus disease 2019 (COVID-19) in China. To fight viral diseases in a more efficient way, Jingyin granules are frequently co-administered in clinical settings with a variety of therapeutic agents, including antiviral drugs, anti-inflammatory drugs, and other Western medicines. However, it is unclear whether Jingyin granules modulate the pharmacokinetics of Western drugs or trigger clinically significant herb-drug interactions. This study aims to assess the inhibitory potency of the herbal extract of Jingyin granules (HEJG) against human drug-metabolizing enzymes and to clarify whether HEJG can modulate the pharmacokinetic profiles of Western drug(s) in vivo. The results clearly demonstrated that HEJG dose-dependently inhibited human CES1A, CES2A, CYPs1A, 2A6, 2C8, 2C9, 2D6, and 2E1; this herbal medicine also time- and NADPH-dependently inhibited human CYP2C19 and CYP3A. In vivo tests showed that HEJG significantly increased the plasma exposure of lopinavir (a CYP3A-substrate drug) by 2.43-fold and strongly prolonged its half-life by 1.91-fold when HEJG (3 g/kg) was co-administered with lopinavir to rats. Further investigation revealed licochalcone A, licochalcone B, licochalcone C and echinatin in Radix Glycyrrhizae, as well as quercetin and kaempferol in Folium Llicis Purpureae, to be time-dependent CYP3A inhibitors. Collectively, our findings reveal that HEJG modulates the pharmacokinetics of CYP substrate-drug(s) by inactivating CYP3A, providing key information for both clinicians and patients to use herb-drug combinations for antiviral therapy in a scientific and reasonable way.

Study on the prognosis predictive model of COVID-19 patients based on CT radiomics.

Making timely assessments of disease progression in patients with COVID-19 could help offer the best personalized treatment. The purpose of this study was to explore an effective model to predict the outcome of patients with COVID-19. We retrospectively included 188 patients (124 in the training set and 64 in the test set) diagnosed with COVID-19. Patients were divided into aggravation and improvement groups according to the disease progression. Three kinds of models were established, including the radiomics, clinical, and combined model. Receiver operating characteristic curves, decision curves, and Delong's test were used to evaluate and compare the models. Our analysis showed that all the established prediction models had good predictive performance in predicting the progress and outcome of COVID-19.

Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study.

BACKGROUND: The dissemination of rumor rebuttal content on social media is vital for rumor control and disease containment during public health crises. Previous research on the effectiveness of rumor rebuttal, to a certain extent, ignored or simplified the structure of dissemination networks and users' cognition as well as decision-making and interaction behaviors. OBJECTIVE: This study aimed to roughly evaluate the effectiveness of rumor rebuttal; dig deeply into the attitude-based echo chamber effect on users' responses to rumor rebuttal under multiple topics on Weibo, a Chinese social media platform, in the early stage of the COVID-19 epidemic; and evaluate the echo chamber's impact on the information characteristics of user interaction content. METHODS: We used Sina Weibo's application programming interface to crawl rumor rebuttal content related to COVID-19 from 10 AM on January 23, 2020, to midnight on April 8, 2020. Using content analysis, sentiment analysis, social network analysis, and statistical analysis, we first analyzed whether and to what extent there was an echo chamber effect on the shaping of individuals' attitudes when retweeting or commenting on others' tweets. Then, we tested the heterogeneity of attitude distribution within communities and the homophily of interactions between communities. Based on the results at user and community levels, we made comprehensive judgments. Finally, we examined users' interaction content from three dimensions-sentiment expression, information seeking and sharing, and civility-to test the impact of the echo chamber effect. RESULTS: Our results indicated that the retweeting mechanism played an essential role in promoting polarization, and the commenting mechanism played a role in consensus building. Our results showed that there might not be a significant echo chamber effect on community interactions and verified that, compared to like-minded interactions, cross-cutting interactions contained significantly more negative sentiment, information seeking and sharing, and incivility. We found that online users' information-seeking behavior was accompanied by incivility, and information-sharing behavior was accompanied by more negative sentiment, which was often accompanied by incivility. CONCLUSIONS: Our findings revealed the existence and degree of an echo chamber effect from multiple dimensions, such as topic, interaction mechanism, and interaction level, and its impact on interaction content. Based on these findings, we provide several suggestions for preventing or alleviating group polarization to achieve better rumor rebuttal.