Qi-Dong-Huo-Xue-Yin balances the immune microenvironment to protect against LPS induced acute lung injury.

COVID-19 induces acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) and leads to severe immunological changes that threatens the lives of COVID-19 victims. Studies have shown that both the regulatory T cells and macrophages were deranged in COVID-19-induced ALI. Herbal drugs have long been utilized to adjust the immune microenvironment in ALI. However, the underlying mechanisms of herbal drug mediated ALI protection are largely unknown. This study aims to understand the cellular mechanism of a traditional Chinese medicine, Qi-Dong-Huo-Xue-Yin (QD), in protecting against LPS induced acute lung injury in mouse models. Our data showed that QD intrinsically promotes Foxp3 transcription via promoting acetylation of the Foxp3 promoter in CD4+ T cells and consequently facilitates CD4+CD25+Foxp3+ Tregs development. Extrinsically, QD stabilized ß-catenin in macrophages to expedite CD4+CD25+Foxp3+ Tregs development and modulated peripheral blood cytokines. Taken together, our results illustrate that QD promotes CD4+CD25+Foxp3+ Tregs development via intrinsic and extrinsic pathways and balanced cytokines within the lungs to protect against LPS induced ALI. This study suggests a potential application of QD in ALI related diseases.

Analysis of related factors of nucleic acid shedding in elderly patients infected with Omicron variant of SARS-CoV-2

Objective: To analyze the nucleic acid shedding time of Omicron variant of novel coronavirus in the elderly patients with non-severe infection, and to explore the related factors affecting the nucleic acid shedding time. Methods: A total of 104 elderly patients with non-severe COVID-19 were divided into early negative group (<10 days) and late negative group ( 10 d) by the nucleic acid shedding time. The population information, vaccination, previous diseases, blood biochemical and inflammatory indicators, nucleic acid ORFIab gene and N gene Ct values were collected and compared between the two groups. The Spearman rank correlation and multiple linear regression were conducted to explore the influencing factors of the nucleic acid shedding time. Results: The mean time of nucleic acid shedding of Omicron variant in the early negative group was 7.26: 1.54 d, compared with 12.96: 2.44 d in the late negative group. There were significant differences in age, the ratio of chronic heart failure, chronic pulmonary disease and booster vaccination for COVID-19 and the first nucleic acid Ct value between the two groups (P < 0.05). Spearman correlation analysis showed that the nucleic acid shedding time of Omicron was positively correlated with age, chronic heart failure and serum level of procalcitonin, but negatively correlated with the vaccination booster and the first tested nucleic acid Ct value. Multiple linear regression analysis showed that age, vaccination booster and the first tested nucleic acid Ct value were the independent influencing factors of the nucleic acid shedding time. Conclusions: Age, vaccination booster for COVID-19 and the first tested nucleic acid Ct value were the independent influencing factors of nucleic acid shedding in [the elderly non-severe patients infected by SARS-CoV-2 Omicron. Vaccination booster for COVID-19 in the elderly vulnerable groups can shorten the time of nucleic acid shedding.

SARS‐CoV‐2 modulation of RIG‐I‐MAVS signaling: Potential mechanisms of impairment on host antiviral immunity and therapeutic approaches

The coronavirus disease 2019 (COVID‐19) is a global infectious disease aroused by RNA virus severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Patients may suffer from severe respiratory failure or even die, posing a huge challenge to global public health. Retinoic acid‐inducible gene I (RIG‐I) is one of the major pattern recognition receptors, function to recognize RNA viruses and mediate the innate immune response. RIG‐1 and melanoma differentiation‐associated gene 5 contain an N‐terminal caspase recruitment domain that is activated upon detection of viral RNA in the cytoplasm of virus‐infected cells. Activated RIG‐I and mitochondrial antiviral signaling (MAVS) protein trigger a series of corresponding immune responses such as the production of type I interferon against viral infection. In this review, we are summarizing the role of the structural, nonstructural, and accessory proteins from SARS‐CoV‐2 on the RIG‐I‐MAVS pathway, and exploring the potential mechanism how SARS‐CoV‐2 could evade the host antiviral response. We then proposed that modulation of the RIG‐I‐MAVS signaling pathway might be a novel and effective therapeutic strategy to against COVID‐19 as well as the constantly mutating coronavirus. The retinoic acid‐inducible gene I mitochondrial antiviral signaling (RIG‐I‐MAVS) axis is designated as a major signaling pathway in the innate immune response for RNA viruses. This review summarized the role of various proteins derived from severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) on the RIG‐I‐MAVS pathway and explored the underlying mechanism of SARS‐CoV‐2 to escape the host antiviral response. Regulation of RIG‐I‐MAVS pathway might be a potentially therapeutic strategy to boost immunity against COVID‐19.

Comparison of attitudes toward the medical student-led community health education service to support chronic disease self-management among students, faculty and patients.

BACKGROUND: Shortage of health professionals is one of the most important barriers for community health centers to provide quality primary care for chronic disease patients especially after the outbreak of COVID-19. Under such condition, medical students have been well-accepted as a force multiplier for community-based health service. Community service learning (CSL) based on medical student-led community health education service to support chronic disease self-management might be a valuable interactive learning tool in medical education. This study compared the attitudes toward medical student-led community health education service to support chronic disease self-management among three stakeholder roles in CSL, including medical students, faculty and patients. METHODS: This cross-sectional comparative survey was conducted using a self-developed questionnaire among the convenience samples of undergraduate students and faculty members from the Medical College, Wuhan University of Science and Technology, as well as patient volunteers with chronic diseases recruited from a free on-site clinic offered by a community health center. Attitudes toward medical student-led community health education service to support chronic disease self-management were compared among students, faculty and patients. RESULTS: A total of 515 valid questionnaires were obtained (342 were collected from medical students, 54 from faculty respondents, and 119 from patients). Overall positive attitudes toward medical student-led community health education service to support chronic disease self-management were positive. Among the three stakeholder roles, faculty and patients were more supportive of the current inadequate level of primary care provision within the community. However, patient respondents showed more negative attitudes towards using resources in higher medical education system to provide support for primary care practice, and participating in the medical student-led community health education service to support chronic disease self-management, and were most skeptical about the medical students' competency in supporting chronic disease self-management with their professional knowledge and skills. The educational value of CSL for medical undergraduates and the role of faculty instructors were most appreciated by faculty respondents. Additionally, > 62 years old and > 2 kinds of chronic diseases per patient exhibited significant correlations with positive patients' attitudes. CONCLUSIONS: Medical students, faculty and patients had overall positive attitudes towards CSL based on medical student-led community health education service to support chronic disease self-management. However, more should be done to create higher expectations and enthusiasm of patients about CSL.

Dendritic cells in systemic lupus erythematosus: From pathogenesis to therapeutic applications.

Systemic lupus erythematosus (SLE) is a severe chronic systemic autoimmune disease caused by complicated interactions among genetic, epigenetic, and immunological factors. Dendritic cells (DCs), as the most important antigen-presenting cells, play pivotal roles in both triggering pathogenic autoimmune responses, and also maintaining immune tolerance. Distinct DC subsets are endowed with diversified phenotypic and functional characteristics, and play variable roles in shaping immunity and tolerance during the development of SLE. Abnormal activation or disabled tolerance of DCs not only triggers aberrant production of inflammatory mediators and type I interferons leading to pathogenic innate immunity and autoinflammation, but also causes an imbalance of effector versus regulatory T cell responses and sustained production of auto-antibodies from B cells, leading to continuously amplified autoimmune pathogenesis in SLE. Over the past decade, significant progress has been made in revealing the changes of DC accumulation or function in SLE, and how the functional dysregulations of DCs contribute to the pathological inflammation of SLE, leading to breakthroughs in DC-based therapeutics in the treatment of SLE. In this review, we review the recent advances in the activation and function of the major DC subsets in the pathogenesis of SLE as well as the therapeutic potential of targeting DC subset or status against SLE.

Practices, Knowledge, and Attitudes of Chinese University Students Toward Traditional Chinese Herbal Medicine for the Control of COVID-19.

Background: The application of traditional Chinese herbal medicine has been officially recommended and strongly promoted in China as an important complement to conventional prevention and treatment for COVID-19. Capturing the practices, knowledge and attitudes of young adult population toward using Chinese herbs for COVID-19 is important for understanding the future of Chinese herbal medicine over the coming decades. Methods: This cross-sectional questionnaire-based study was conducted from May to June, 2022, among 313 student volunteers in Wuhan University of Science and Technology, a provincial comprehensive university in China. Results: Results showed that only 18% of students had used Chinese herbs to prevent COVID-19. The main information sources were social media, the students' family members, relatives, friends, etc. as well as the healthcare professionals. However, most students only sometimes paid close attention to related reports and news articles in social media. Clear pharmacological and toxicological properties of herbs were considered by 43% students as the most important factor to promote their own application of Chinese herbs to fight COVID-19. The mean knowledge score was 1.64 out of 5. Students' overall attitudes toward application of Chinese herbal medicine to fight COVID-19 were very positive. Conclusion: These data suggests most university young adults had a positive attitude but lack of practices and knowledge towards traditional Chinese herbal medicine for COVID-19 control.

Etiological Analysis of Viral Encephalitis in Children in Zhejiang Province from 2018 to 2019.

OBJECTIVE: To investigate the common pathogens of viral encephalitis (VE) in children, and to provide guidance for the empirical diagnosis and treatment of patients with VE. METHODS: A total of 227 cerebrospinal fluid (CSF) samples were collected from pediatric patients with VE in Zhejiang province from January 2018 to December 2019. The samples were tested using multiplex and singleplex Reverse Transcription-Polymerase Chain Reaction (RT-PCR) with primers specific to enterovirus (EV), varicella-zoster virus (VZV), mumps virus (MuV), cytomegalovirus (CMV), herpes simplex virus type 1 (HSV-1)/type 2 (HSV-2), Epstein-Barr virus (EBV), and human herpesvirus 6 (HHV-6). The data of the two analyses were compared and then verified using Sanger sequencing. RESULTS: Of the 227 CSF samples, 90 were shown to be positive for multiplex RT-PCR with a positivity rate of 39.65% and a 95% confidence interval (33.2%, 46.1%). EV was the most common cause of VE, followed by EBV, HHV-6, MuV, CMV, VZV, and HSV-1. Most included cases occurred in summer, accounting for 49.78% of all cases. For EV, EBV, and HSV-2, multiplex RT-PCR showed a positivity rate of 34.36%, which was not statistically different from that of 30.4% shown by singleplex RT-PCR. The sequences of EV, EBV, VZV, MuV, CMV, HSV-1, HHV-6, and HSV-2 were confirmed by sequencing the PCR products obtained from multiplex and singleplex PCR. CONCLUSIONS: In children, VE is more prevalent in the summer than in other seasons in Zhejiang province, and EV may be the most common causative pathogen.

Epidemiological characteristics of 123 confirmed COVID-19 cases in Shangrao City, Jiangxi

Objective: To describe the epidemiological characteristics of confirmed COVID-19 cases in Shangrao City, and provide scientific evidence for the development of prevention and control strategies.

DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.

The rapid increase of metabolomics has led to an increasing focus on metabolic pathway modeling and reconstruction. In particular, reconstructing an organism's metabolic network based on its genome sequence is a key challenge in systems biology. The method used to address this problem predicts the presence or absence of metabolic pathways from known pathways in a reference database. However, this method is based on manual metabolic pathway construction and cannot be used for large genome sequencing data. To address such problems, we apply a supervised machine learning approach consisting of deep neural networks to learn feature representations of metabolic pathways and feed these representations into random forests to predict metabolic pathways. The supervised learning model, DeepRF, predicts all known and unknown metabolic pathways in an organism. Evaluation of DeepRF on over 318,016 instances shows that the model can predict metabolic pathways with high-performance metrics accuracy (>97%), recall (>95%), and precision (>99%). Comparing DeepRF with other methods in the literature shows that DeepRF produces more reliable results than other methods.

Analysis of the Transmission of SARS-CoV-2 Delta VOC in Yantai, China, August 2021.

Objective: Starting 31 July 2021, a SARS-CoV-2 outbreak occurred in Yantai, Shandong Province. The investigation showed that this outbreak was closely related to the epidemic at Nanjing Lukou Airport. In view of the fact that there were many people involved in this outbreak and these people had a complex activity area, the transmission route cannot be analyzed by simple epidemiological investigation. Here we combined the SARS-COV-2 whole-genome sequencing with epidemiology to determine the epidemic transmission route of Yantai. Methods: Thirteen samples of SARS-CoV-2 outbreak cases from 31 July to 4 August 2021 were collected and identified by fluorescence quantitative PCR, then whole-genome deep sequencing based on NGS was performed, and the data were analyzed and processed by biological software. Results: All sequences were over 29,000 bases in length and all belonged to B.1.617.2, which was the Delta strain. All sequences shared two amino acid deletions and 9 amino acid mutations in Spike protein compared with reference sequence NC_045512.2 (Wuhan virus strain). Compared with the sequence of Lukou Airport Delta strain, the homology was 99.99%. In order to confirm the transmission relationship between patients, we performed a phylogenetic tree analysis. The results showed that patient 1, patient 2, and patient 9 belong to an independent branch, and other patients have a close relationship. Combined with the epidemiological investigation, we speculated that the epidemic of Yantai was transmitted by two routes at the same time. Based on this information, our prevention and control work was carried out in two ways and effectively prevented the further spread of this epidemic.

Epidemiological Investigation and Risk Factor Analysis of Acute Hemorrhagic Conjunctivitis in Huangshi Port District, Huangshi City.

Objective: This study is aimed at investigating the epidemiology and risk factors of acute hemorrhagic conjunctivitis (pinkeye) in Huangshi Port District of Huangshi City. Methods: A total of 593 cases of acute hemorrhagic conjunctivitis from January 2019 to December 2021 were selected as the observation group. The epidemiological characteristics (age of onset, season, occupation, clinical manifestations, and etiological characteristics) were analyzed. A total of 425 healthy subjects (nonacute hemorrhagic conjunctivitis) were selected as the control group. The general data of the two groups were compared, and the risk factors affecting the occurrence of acute hemorrhagic conjunctivitis were analyzed by logistic regression. Results: The onset age of acute hemorrhagic conjunctivitis was mainly concentrated in 0-20-year-old and 60-year-old age groups, and the onset season was mainly concentrated in April to August, with the highest incidence in May. The proportions of middle school students and workers in patients with acute hemorrhagic conjunctivitis were higher than those of other occupations (both P < 0.05). Ocular conjunctival congestion, tingling, and foreign body sensation were the main clinical manifestations of patients with acute hemorrhagic conjunctivitis. Among the 593 conjunctival swab samples collected in this study, the positive rates of HEV70 and CVA24v were higher than those of adenovirus nucleic acid (both P < 0.05). The proportion of people aged ≤40 years old, male, working outdoors, using potable water equipment, contact history of patients with acute conjunctivitis, history of chemical substances entering eyes, combined with immune system diseases, and public toilet utilization rate ≥ 1 times/d in the observation group was higher than that in the control group (all P < 0.05), and the proportion of people washing hands before eating and after toilet was lower than that in the control group (P < 0.05). Multiple logistic regression analysis showed that working place outdoors, use of potable water equipment, contact history of patients with acute conjunctivitis (all P < 0.05), and use of public toilets ≥ once a day were risk factors for the occurrence of acute hemorrhagic conjunctivitis, and washing hands before eating and after toilet was a protective factor (P < 0.05). Conclusion: The onset age of acute hemorrhagic conjunctivitis was mainly concentrated in 0-20-year-old and 60-year-old age; the onset season was mainly concentrated in summer and autumn; adenovirus is the main pathogenic bacteria; ocular conjunctivitis congestion, tingling, and foreign body sensation were the main clinical manifestations; working place outdoors, use of potable water equipment, contact history of patients with acute conjunctivitis (all P < 0.05), and use of public toilets ≥ once a day were risk factors for the occurrence of acute hemorrhagic conjunctivitis, while washing hands before eating and after toilet was a protective factor.

Effect Analysis of "Four-Step" Training and Assessment Tool in the Prevention and Control of COVID-19.

Purpose: To improve the ability of infection prevention and control (IPC) of medical staff during the COVID-19 epidemic period, the "four-step" mode of whole staff training and assessment was used. Methods: During the period from March 9 to March 18, 2020, 5425 medical staff from The First Affiliated Hospital of Nanjing Medical University were selected as the objects of this study. There are four stages in the training assessment mode. The first stage is the basic assessment stage; the second stage releases the electronic version of the knowledge point manual; the third stage conducts online exercises; the fourth stage conducts the final assessment. Results: In the first stage, the participation rate of medical staff was 95.04%. In the fourth stage, the participation rate of medical staff was 98.01%. The average score of female medical staff in the first stage and the fourth stage was higher than that of males (P< 0.001). The average score of medical staff under 30 years old in the first stage and the fourth stage was higher than that of other age groups (P< 0.05). In the fourth stage, the correct rate of each part of exercises in the knowledge points of IPC was higher than that in the first stage (P< 0.001). In the two stages, the two parts of "COVID-19 prevention and control" and "multi-drug resistant bacteria prevention and control" had the highest accuracy, while the "disinfection and sterilization" and "infectious disease management" had the lowest accuracy (P< 0.001). Conclusion: The "four-step" infection control training assessment mode has realized "full participation" and "effective training", and the level of medical staff's IPC has been significantly improved.

One-Year Trajectory of Cognitive Changes in Older Survivors of COVID-19 in Wuhan, China: A Longitudinal Cohort Study.

Importance: Determining the long-term impact of COVID-19 on cognition is important to inform immediate steps in COVID-19 research and health policy. Objective: To investigate the 1-year trajectory of cognitive changes in older COVID-19 survivors. Design, Setting, and Participants: This cohort study recruited 3233 COVID-19 survivors 60 years and older who were discharged from 3 COVID-19-designated hospitals in Wuhan, China, from February 10 to April 10, 2020. Their uninfected spouses (N = 466) were recruited as a control population. Participants with preinfection cognitive impairment, a concomitant neurological disorder, or a family history of dementia were excluded, as well as those with severe cardiac, hepatic, or kidney disease or any kind of tumor. Follow-up monitoring cognitive functioning and decline took place at 6 and 12 months. A total of 1438 COVID-19 survivors and 438 control individuals were included in the final follow-up. COVID-19 was categorized as severe or nonsevere following the American Thoracic Society guidelines. Main Outcomes and Measures: The main outcome was change in cognition 1 year after patient discharge. Cognitive changes during the first and second 6-month follow-up periods were assessed using the Informant Questionnaire on Cognitive Decline in the Elderly and the Telephone Interview of Cognitive Status-40, respectively. Based on the cognitive changes observed during the 2 periods, cognitive trajectories were classified into 4 categories: stable cognition, early-onset cognitive decline, late-onset cognitive decline, and progressive cognitive decline. Multinomial and conditional logistical regression models were used to identify factors associated with risk of cognitive decline. Results: Among the 3233 COVID-19 survivors and 1317 uninfected spouses screened, 1438 participants who were treated for COVID-19 (691 male [48.05%] and 747 female [51.95%]; median [IQR] age, 69 [66-74] years) and 438 uninfected control individuals (222 male [50.68%] and 216 female [49.32%]; median [IQR] age, 67 [66-74] years) completed the 12-month follow-up. The incidence of cognitive impairment in survivors 12 months after discharge was 12.45%. Individuals with severe cases had lower Telephone Interview of Cognitive Status-40 scores than those with nonsevere cases and control individuals at 12 months (median [IQR]: severe, 22.50 [16.00-28.00]; nonsevere, 30.00 [26.00-33.00]; control, 31.00 [26.00-33.00]). Severe COVID-19 was associated with a higher risk of early-onset cognitive decline (odds ratio [OR], 4.87; 95% CI, 3.30-7.20), late-onset cognitive decline (OR, 7.58; 95% CI, 3.58-16.03), and progressive cognitive decline (OR, 19.00; 95% CI, 9.14-39.51), while nonsevere COVID-19 was associated with a higher risk of early-onset cognitive decline (OR, 1.71; 95% CI, 1.30-2.27) when adjusting for age, sex, education level, body mass index, and comorbidities. Conclusions and Relevance: In this cohort study, COVID-19 survival was associated with an increase in risk of longitudinal cognitive decline, highlighting the importance of immediate measures to deal with this challenge.

Establishing and evaluating physician-pharmacist collaborative clinics to manage patients with type 2 diabetes in primary hospitals in Hunan province: study protocol of a multi-site randomized controlled trial in the era of COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has exerted an unprecedented and universal impact on global health system, resulting in noticeable challenges in traditional chronic disease care, of which diabetes was reported to be most influenced by the reduction in healthcare resources in the pandemic. China has the world's largest diabetes population, and current diabetes management in China is unsatisfactory, particularly in rural areas. Studies in developed countries have demonstrated that physician-pharmacist collaborative clinics are efficient and cost-effective for diabetes management, but little is known if this mode could be adapted in primary hospitals in China. The aim of this proposed study is to develop and evaluate physician-pharmacist collaborative clinics to manage type 2 diabetes mellitus (T2DM) in primary hospitals in Hunan province. METHODS: A multi-site randomized controlled trial will be conducted to evaluate the effectiveness and cost-effectiveness of the physician-pharmacist collaborative clinics compared with usual care for Chinese patients with T2DM. Six primary hospitals will participate in the study, which will recruit 600 eligible patients. Patients in the intervention group will receive services from both physicians and pharmacists in the collaborative clinics, while the control group will receive usual care from physicians. Patients will be followed up at the 3rd, 6th, 9th and 12th month. Comparison between the two groups will be conducted by assessing the clinical parameters, process indicators and costs on diabetes. A satisfaction survey will also be carried out at the end of the study. DISCUSSION: If effective, the physician-pharmacist collaborative clinics can be adapted and used in primary hospitals of China to improve glycemic control, enhance medication adherence, decrease incidence of complications and reduce patients' dependence on physicians. Findings from the present study are meaningful for developing evidence-based diabetes care policy in rural China, especially in the COVID-19 pandemic era. TRIAL REGISTRATION: Chinese Clinical Trial Registry, ChiCTR2000031839 , Registered 12 April 2020.

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis-Introducing the Multitask Speech Corpus for COVID-19.

Computer audition (CA) has experienced a fast development in the past decades by leveraging advanced signal processing and machine learning techniques. In particular, for its noninvasive and ubiquitous character by nature, CA-based applications in healthcare have increasingly attracted attention in recent years. During the tough time of the global crisis caused by the coronavirus disease 2019 (COVID-19), scientists and engineers in data science have collaborated to think of novel ways in prevention, diagnosis, treatment, tracking, and management of this global pandemic. On the one hand, we have witnessed the power of 5G, Internet of Things, big data, computer vision, and artificial intelligence in applications of epidemiology modeling, drug and/or vaccine finding and designing, fast CT screening, and quarantine management. On the other hand, relevant studies in exploring the capacity of CA are extremely lacking and underestimated. To this end, we propose a novel multitask speech corpus for COVID-19 research usage. We collected 51 confirmed COVID-19 patients' in-the-wild speech data in Wuhan city, China. We define three main tasks in this corpus, i.e., three-category classification tasks for evaluating the physical and/or mental status of patients, i.e., sleep quality, fatigue, and anxiety. The benchmarks are given by using both classic machine learning methods and state-of-the-art deep learning techniques. We believe this study and corpus cannot only facilitate the ongoing research on using data science to fight against COVID-19, but also the monitoring of contagious diseases for general purpose.

Case Report: Prenatal and Postnatal Management for Fetal Bronchogenic Cysts During the COVID-19 Pandemic.

Background: A fetal bronchogenic cyst (BC) is a rare congenital anomaly with an incidence of 0.147-0.238‰. The coronavirus disease 2019 (COVID-19) pandemic, as a particular situation, hindered pregnant women from receiving periodic prenatal checkups. Case Description: Until 34+6 weeks of gestation, a fetal case of the intrathoracic cyst was found by ultrasound examination. Further, MRI examination confirmed the diagnosis of the congenital mediastinal cystic lesion, probably a BC. Genetic testing was not conducted due to the COVID-19 pandemic. At 38+5 weeks of gestation with maternal COVID-19 testing negative, a live girl was delivered by cesarean section. Five months later, the child underwent bronchocystectomy, and the postoperative pathological lesions confirmed a (right upper mediastinum) BC. Conclusion: Herein, we reported the prenatal and postnatal management for a rare case of the congenital BC by multidisciplinary approaches during the COVID-19 pandemic. Fetal MRI and screening for fetal chromosomal abnormalities are especially recommended. This case contributes to the awareness that the COVID-19 pandemic interferes with regular follow-up schedules during pregnancy and may interfere with timely performed additional tests; which leads to more accurate genetic counseling. A combination of multidisciplinary approaches, including radiology, infection control, genetic counseling, obstetrics, and pediatric surgery, is pivotal for managing fetal BC during the COVID-19 pandemic.

SARS-CoV-2 Seroprevalence and Profiles Among Convalescents in Sichuan Province, China.

Objectives: To explore and understand the SARS-CoV-2 seroprevalence of convalescents, the association between antibody levels and demographic factors, and the seroepidemiology of convalescents of COVID-19 till March 2021. Methods: We recruited 517 voluntary COVID-19 convalescents in Sichuan Province and collected 1,707 serum samples till March 2021. Then we reported the seroprevalence and analyzed the associated factors. Results: Recent travel history was associated with IgM levels. Convalescents who had recent travel history were less likely to be IgM antibody negative [OR = 0.232, 95% CI: (0.128, 0.420)]. Asymptomatic cases had, approximately, twice the odds of being IgM antibody negative compared with symptomatic cases [OR = 2.583, 95% CI: (1.554, 4.293)]. Participants without symptoms were less likely to be IgG seronegative than those with symptoms [OR = 0.511, 95% CI: (0.293, 0.891)]. Convalescents aged 40-59 were less likely to be IgG seronegative than those aged below 20 [OR = 0.364, 95% CI: (0.138, 0.959)]. The duration of positive IgM antibodies persisted 365 days while the IgG persisted more than 399 days. Conclusions: Our findings suggested that recent travel history might be associated with the antibody levels of IgM, while age could be associated with the antibody levels of IgG. Infection type could be associated with both antibody levels of IgM and IgG that declined quicker in asymptomatic cases.

Low dose of emetine as potential anti-SARS-CoV-2 virus therapy: preclinical in vitro inhibition and in vivo pharmacokinetic evidences.

The global pandemic of COVID-19 has attracted extensive drug searching interets for the new coronavirus SARS-CoV-2. Although currently several of clinically used "old" drugs have been repurposed to this new disease for the urgent clinical investigation, there is still great demand for more effective therapies for the anti-infections. Here we report the discovery that an "old" drug Emetine could potently inhibit SARS-CoV-2 virus replication and displayed virus entry blocking effect in Vero cells at low dose. In addition, Emetine could significantly reduce the lipopolysaccharide (LPS) induced interleukin-6 (IL-6) protein level and moderately reduce the tumor necrosis factor (TNF-α) protein level in the M1 polarized THP-1 macrophages. In vivo animal pharmacokinetics (PK) study revealed that Emetine was enriched in the lung tissue and had a long retention time (over 12 h). With 1 mg/kg single oral dose, the effective concentration of Emetine in lung was up to 1.8 µM (mice) and 1.6 µM (rats) at 12 h, which is over 200-fold higher than the EC50 of the drug. The potent in vitro antiviral replication efficacy and the high enrichment in target tissue, combining with the well documented safety profiles in human indicate that low dose of Emetine might be a potentially effective anti-SARS-CoV-2 infection therapy. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43556-020-00018-9.

COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis.

At the time of writing this article, the world population is suffering from more than 2 million registered COVID-19 disease epidemic-induced deaths since the outbreak of the corona virus, which is now officially known as SARS-CoV-2. However, tremendous efforts have been made worldwide to counter-steer and control the epidemic by now labelled as pandemic. In this contribution, we provide an overview on the potential for computer audition (CA), i.e., the usage of speech and sound analysis by artificial intelligence to help in this scenario. We first survey which types of related or contextually significant phenomena can be automatically assessed from speech or sound. These include the automatic recognition and monitoring of COVID-19 directly or its symptoms such as breathing, dry, and wet coughing or sneezing sounds, speech under cold, eating behaviour, sleepiness, or pain to name but a few. Then, we consider potential use-cases for exploitation. These include risk assessment and diagnosis based on symptom histograms and their development over time, as well as monitoring of spread, social distancing and its effects, treatment and recovery, and patient well-being. We quickly guide further through challenges that need to be faced for real-life usage and limitations also in comparison with non-audio solutions. We come to the conclusion that CA appears ready for implementation of (pre-)diagnosis and monitoring tools, and more generally provides rich and significant, yet so far untapped potential in the fight against COVID-19 spread.