CircRNA-Pro: A Novel Toolkit for High-Precision Detection of Differentially Expressed Circular RNAs and Translatable Circular RNAs (preprint)

With the increasing discovery of circular RNAs (circRNAs) and their critical roles in gene regulation and disease progression, there is a growing need for more accurate and efficient tools for circRNAs research. In response, we have developed an integrated software suite specifically for circRNAs. This all-in-one tool specializes in detecting differentially expressed circRNAs, including those with the potential to be translated into proteins, and allows for comparing against relevant databases, thereby enabling comprehensive circRNA profiling and annotation. To enhance the accuracy in detecting differentially expressed circRNAs, we incorporated three different software algorithms and cross-validated their results through mutual verification. Additionally, this toolkit improves the effectiveness in identifying translatable circRNAs by optimizing Ribo-seq alignment and verifying against public circRNA databases. The performance of circRNA-pro has been evaluated through its application to public RNA-seq and Ribo-seq datasets on breast cancer and SARS-CoV-2 infected cells, and the results obtained have been validated against previous literature and databases. Overall, our integrated toolkit provides a reliable workflow for circRNA research, facilitating insights into their diverse roles across life sciences.

The Solution for the CVPR2023 NICE Image Captioning Challenge (preprint)

In this paper, we present our solution to the New frontiers for Zero-shot Image Captioning Challenge. Different from the traditional image captioning datasets, this challenge includes a larger new variety of visual concepts from many domains (such as COVID-19) as well as various image types (photographs, illustrations, graphics). For the data level, we collect external training data from Laion-5B, a large-scale CLIP-filtered image-text dataset. For the model level, we use OFA, a large-scale visual-language pre-training model based on handcrafted templates, to perform the image captioning task. In addition, we introduce contrastive learning to align image-text pairs to learn new visual concepts in the pre-training stage. Then, we propose a similarity-bucket strategy and incorporate this strategy into the template to force the model to generate higher quality and more matching captions. Finally, by retrieval-augmented strategy, we construct a content-rich template, containing the most relevant top-k captions from other image-text pairs, to guide the model in generating semantic-rich captions. Our method ranks first on the leaderboard, achieving 105.17 and 325.72 Cider-Score in the validation and test phase, respectively.

Changes in Spectrum of Respiratory Pathogen Infections and Disease Severity Among Children in Hohhot: Impact of COVID-19 Prevention Measures (preprint)

Background Acute respiratory infections (ARIs) are caused by various pathogens, and the outbreak of the novel coronavirus has led to changes in the patterns of respiratory pathogen infections. Through long-term study of respiratory tract infection data in children from Hohhot, significant differences in the spectrum of respiratory pathogen infections, disease severity, and seasonal patterns have been discovered between 2022 and 2023.Methods Throat swabs were collected from 605 children with ARIs at the First Hospital of Hohhot, and pathogen detection was performed using microarray technology. Blood biomarkers, symptoms, and clinical diagnoses were evaluated.Results The study found that 56.03% of the patients were male, with an average age of 3.45 years. Pathogen dynamics revealed that SARS-CoV-2 was the most prevalent infection, accounting for 262 cases. It persisted from October 2022 to January 2023 and then disappeared. Influenza A virus (IAV) cases peaked in March 2023. Respiratory syncytial virus (RSV), Influenza B virus (IBV), Parainfluenza virus (PIV), Mycoplasma pneumoniae (M. pneumoniae), Escherichia coli (E. coli), Staphylococcus aureus (S. aureus), and Group A streptococcus (GAS) were not detected after December 2022. The proportion of mixed infections was 41.94% among SARS-CoV-2 patients, while other pathogens had mixed infection rates exceeding 57.14%. Before December 2022, the mean value of white blood cell (WBC) count for Streptococcus pneumoniae (S. pneumoniae), Haemophilus influenzae (H. influenzae), Epstein-Barr virus (EBV), and Cytomegalovirus (CMV) was 8.83*10^9/L, C-reactive protein (CRP) was 18.36 mg/L, and procalcitonin (PCT) was 1.11 ng /ml. After December 2022, these values decreased to 5.5*10^9/L, 6.33 mg/L, and 0.24 ng /ml, respectively. Similarly, the proportion of patients with cough, difficulty breathing, and running nose, as well as the diagnosis of lower respiratory tract infections, decreased in December 2022. However, the situation was different for SARS-CoV-2 infections.Conclusions Strict SARS-CoV-2 policies reduced the infection risk for S. pneumoniae, H. influenzae, EBV, and other pathogens before November 2022. However, patient symptoms worsened compared to after November 2022, possibly due to an excessive focus on SARS-CoV-2, neglecting other diseases, and reduced population immunity to respiratory infections.

Multi-omics blood atlas reveals unique features of immune and platelet responses to SARS-CoV-2 Omicron breakthrough infection.

Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns.

Ratiometric fluorescence immunoassay of SARS-CoV-2 nucleocapsid protein via Si-FITC nanoprobe-based inner filter effect.

The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has necessitated rapid, easy-to-use, and accurate diagnostic methods to monitor the virus infection. Herein, a ratiometric fluorescence enzyme-linked immunosorbent assay (ELISA) was developed using Si-fluorescein isothiocyanate nanoparticles (FITC NPs) for detecting SARS-CoV-2 nucleocapsid (N) protein. Si-FITC NPs were prepared by a one-pot hydrothermal method using 3-aminopropyl triethoxysilane (APTES)-FITC as the Si source. This method did not need post-modification and avoided the reduction in quantum yield and stability. The p-nitrophenyl (pNP) produced by the alkaline phosphatase (ALP)-mediated hydrolysis of p-nitrophenyl phosphate (pNPP) could quench Si fluorescence in Si-FITC NPs via the inner filter effect. In ELISA, an immunocomplex was formed by the recognition of capture antibody/N protein/reporter antibody. ALP-linked secondary antibody bound to the reporter antibody and induced pNPP hydrolysis to specifically quench Si fluorescence in Si-FITC NPs. The change in fluorescence intensity ratio could be used for detecting N protein, with a wide linearity range (0.01-10.0 and 50-300 ng/mL) and low detection limit (0.002 ng/mL). The concentration of spiked SARS-CoV-2 N protein could be determined accurately in human serum. Moreover, this proposed method can accurately distinguish coronavirus disease 2019 (COVID-19) and non-COVID-19 patient samples. Therefore, this simple, sensitive, and accurate method can be applied for the early diagnosis of SARS-CoV-2 virus infection. Electronic Supplementary Material: Supplementary material (characterization of Si-FITC NPs (FTIR spectrum, XRD spectra, and synchronous fluorescence spectra); condition optimization of ALP response (fluorescence intensity ratio change); mechanism investigation of ALP response (fluorescence lifetime decay curves and UV-vis absorption spectra); detection of N protein using commercial ELISA Kit; analytical performance of assays for ALP detection or SARS-CoV-2 N protein detection; and determination results of SARS-CoV-2 N protein in human serum) is available in the online version of this article at 10.1007/s12274-022-4740-5.

A rare case of cardiogenic shock caused by takotsubo syndrome associated with SARS-CoV-2 infection: The value of echocardiography in the diagnosis and monitoring of the efficacy of extracorporeal membrane oxygenation.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mainly invades the respiratory system, but may also cause various cardiovascular complications. We report a rare case of myocarditis associated with SARS-CoV-2 infection. A 61-year-old man was admitted to the hospital with a positive nucleic acid test for SARS-CoV-2. A sudden increase in troponin level (up to .144 ng/mL) was observed on the 8th day after admission. He developed symptoms of heart failure and progressed rapidly to cardiogenic shock. Echocardiography on the same day showed reduced left ventricular ejection fraction, reduced cardiac output, and segmental ventricular wall motion abnormalities. Takotsubo cardiomyopathy associated with SARS-CoV-2 infection was considered based on the typical echocardiography findings. We immediately started veno-arterial extracorporeal membrane oxygenation (VA-ECMO) treatment. The patient was successfully withdrawn from VA-ECMO after 8 days following recovery of ejection fraction to 65% and all indicators qualifying the withdrawal criteria. Echocardiography plays an important role in dynamic monitoring of cardiac changes in such cases and can help determine the timing of extracorporeal membrane oxygenation treatment and withdrawal.

Maternal distress and parenting during COVID-19: differential effects related to pre-pandemic distress?

BACKGROUND: Distinguishing whether and how pre-existing characteristics impact maternal responses to adversity is difficult: Does prior well-being decrease the likelihood of encountering stressful experiences? Does it protect against adversity's negative effects? We examine whether the interaction between relatively uniformly experienced adversity (due to COVID-19 experience) and individual variation in pre-existing (i.e., pre-pandemic onset) distress predicted mothers' pandemic levels of distress and insensitive caregiving within a country reporting low COVID-19 death rates, and strict nationwide regulations. METHOD: Fifty-one Singaporean mothers and their preschool-aged children provided data across two waves. Pre- pandemic onset maternal distress (i.e., psychological distress, anxiety, and parenting stress) was captured via self-reports and maternal sensitivity was coded from videos. Measures were repeated after the pandemic's onset along with questionnaires concerning perceived COVID-19 adversity (e.g., COVID-19's impact upon stress caring for children, housework, job demands, etc.) and pandemic-related objective experiences (e.g., income, COVID-19 diagnoses, etc.). Regression analyses (SPSS v28) considered pre-pandemic onset maternal distress, COVID-19 stress, and their interaction upon post-pandemic onset maternal distress. Models were re-run with appropriate covariates (e.g., objective experience) when significant findings were observed. To rule out alternative models, follow up analyses (PROCESS Model) considered whether COVID-19 stress mediated pre- and post-pandemic onset associations. Models involving maternal sensitivity followed a similar data analytic plan. RESULTS: Pre-pandemic maternal distress moderated the association between COVID-19 perceived stress and pandemic levels of maternal distress (ß = 0.22, p < 0.01) but not pandemic assessed maternal sensitivity. Perceived COVID-19 stress significantly contributed to post-pandemic onset maternal distress for mothers with pre-pandemic onset distress scores above (ß = 0.30, p = 0.05), but not below (ß = 0.25, p = 0.24), the median. Objective COVID-19 adversity did not account for findings. Post-hoc analyses did not suggest mediation via COVID-19 stress from pre-pandemic to pandemic maternal distress. CONCLUSIONS: Pre-existing risk may interact with subsequent perceptions of adversity to impact well-being. In combination with existing research, this small study suggests prevention programs should focus upon managing concurrent mental health and may highlight the importance of enhanced screening and proactive coping programs for people entering high stress fields and/or phases of life.

Digital Disease Surveillance for Emerging Infectious Diseases: An Early Warning System Using the Internet and Social Media Data for COVID-19 Forecasting in Canada.

BACKGROUND: Emerging Infectious Diseases (EID) are a significant threat to population health globally. We aimed to examine the relationship between internet search engine queries and social media data on COVID-19 and determine if they can predict COVID-19 cases in Canada. METHODS: We analyzed Google Trends (GT) and Twitter data from 1/1/2020 to 3/31/2020 in Canada and used various signal-processing techniques to remove noise from the data. Data on COVID-19 cases was obtained from the COVID-19 Canada Open Data Working Group. We conducted time-lagged cross-correlation analyses and developed the long short-term memory model for forecasting daily COVID-19 cases. RESULTS: Among symptom keywords, "cough," "runny nose," and "anosmia" were strong signals with high cross-correlation coefficients >0.8 ( rCough = 0.825, t - 9; rRunnyNose = 0.816, t - 11; rAnosmia = 0.812, t - 3 ), showing that searching for "cough," "runny nose," and "anosmia" on GT correlated with the incidence of COVID-19 and peaked 9, 11, and 3 days earlier than the incidence peak, respectively. For symptoms- and COVID-related Tweet counts, the cross-correlations of Tweet signals and daily cases were rTweetSymptoms = 0.868, t - 11 and tTweetCOVID = 0.840, t - 10, respectively. The LSTM forecasting model achieved the best performance (MSE = 124.78, R2 = 0.88, adjusted R2 = 0.87) using GT signals with cross-correlation coefficients >0.75. Combining GT and Tweet signals did not improve the model performance. CONCLUSION: Internet search engine queries and social media data can be used as early warning signals for creating a real-time surveillance system for COVID-19 forecasting, but challenges remain in modelling.

Investigating Canadian Public Attitudes Toward COVID-19 Vaccine Mandates with a Nested Analysis Framework.

BACKGROUND: Social media is an important medium for studying public attitudes toward COVID-19 vaccine mandates in Canada, and Reddit network communities are a good source for this. METHODS: This study applied a "nested analysis" framework. We collected 20378 Reddit comments via the Pushshift API and developed a BERT-based binary classification model to screen for relevance to COVID-19 vaccine mandates. We then used a Guided Latent Dirichlet Allocation (LDA) model on relevant comments to extract key topics and assign each comment to its most relevant topic. RESULTS: There were 3179 (15.6%) relevant and 17199 (84.4%) irrelevant comments. Our BERT-based model achieved 91% accuracy trained with 300 Reddit comments after 60 epochs. The Guided LDA model had an optimal coherence score of 0.471 with four topics: travel, government, certification, and institutions. Human evaluation of the Guided LDA model showed an 83% accuracy in assigning samples to their topic groups. CONCLUSION: We develop a screening tool for filtering and analyzing Reddit comments on COVID-19 vaccine mandates through topic modelling. Future research could develop more effective seed word-choosing and evaluation methods to reduce the need for human judgment.

Wastewater surveillance and an automated robot: effectively tracking SARS-CoV-2 transmission in the post-epidemic era.

Wastewater-based epidemiology (WBE) has exhibited great utility in the early and rapid identification of SARS-CoV-2. However, the efficacy of wastewater surveillance under China's previous strict epidemic prevention policy remains to be described. We collected the WBE data of wastewater treatment plants (WWTPs) in the Third People's Hospital of Shenzhen and several communities to determine the significant effectiveness of routine wastewater surveillance in monitoring the local spread of SARS-CoV-2 under tight containment of the epidemic. The results of 1 month of continuous wastewater surveillance showed that positive signals for SARS-CoV-2 RNA were detected in the wastewater samples, and a significant positive correlation was observed between the virus concentration and the number of daily cases. In addition, the community's domestic wastewater surveillance results were confirmed even 3 days before, or simultaneously with, the infected patient being confirmed as having the virus. Meanwhile, an automated sewage virus detection robot, ShenNong No.1 robot, was developed, showing a high degree of agreement with experimental data, offering the possibility of large-scale multi-point surveillance. Overall, our results illustrated the clear indicative role of wastewater surveillance in combating COVID-19 and provided a practical basis for rapidly expanding the feasibility and value of routine wastewater surveillance for future emerging infectious diseases.

Advances in SARS-CoV-2 receptor-binding domain-based COVID-19 vaccines.

INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) pandemic has caused devastating human and economic costs. Vaccination is an important step in controlling the pandemic. Severe acute respiratory coronavirus-2 (SARS-CoV-2), the causative agent of COVID-19, infects cells by binding a cellular receptor through the receptor-binding domain (RBD) within the S1 subunit of the spike (S) protein. Viral entry and membrane fusion are mediated by the S2 subunit. AREAS COVERED: SARS-CoV-2 S protein, particularly RBD, serves as an important target for vaccines. Here we review the structure and function of SARS-CoV-2 S protein and its RBD, summarize current COVID-19 vaccines targeting the RBD, and outline potential strategies for improving RBD-based vaccines. Overall, this review provides important information that will facilitate rational design and development of safer and more effective COVID-19 vaccines. EXPERT OPINION: The S protein of SARS-CoV-2 harbors numerous mutations, mostly in the RBD, resulting in multiple variant strains. Although many COVID-19 vaccines targeting the RBD of original virus strain (and previous variants) can prevent infection of these strains, their ability against recent dominant variants, particularly Omicron and its offspring, is significantly reduced. Collective efforts are needed to develop effective broad-spectrum vaccines to control current and future variants that have pandemic potential.

The Impact of COVID-19 Pandemic on Emerging Country Stock Markets: Evidence of the Value Effect

We examine the impact of the COVID-19 pandemic on seven emerging stock markets by focusing on the value effect. Our results show that there are significant differences in the value premia before and during the pandemic. Furthermore, the traditional value proxies are no longer good predictors of future stock returns. To further capture the impact the pandemic's progress on stock returns, we estimate Fama-MacBeth regressions by introducing proxies of the pandemic. We uncover heterogeneous responses of emerging markets to the pandemic. These findings provide a wealth of insights on the presence and driving force relevant to the value effect.

Inhaled Lipid Nanoparticles Alleviate Established Pulmonary Fibrosis.

Pulmonary fibrosis, a sequela of lung injury resulting from severe infection such as severe acute respiratory syndrome-like coronavirus (SARS-CoV-2) infection, is a kind of life-threatening lung disease with limited therapeutic options. Herein, inhalable liposomes encapsulating metformin, a first-line antidiabetic drug that has been reported to effectively reverse pulmonary fibrosis by modulating multiple metabolic pathways, and nintedanib, a well-known antifibrotic drug that has been widely used in the clinic, are developed for pulmonary fibrosis treatment. The composition of liposomes made of neutral, cationic or anionic lipids, and poly(ethylene glycol) (PEG) is optimized by evaluating their retention in the lung after inhalation. Neutral liposomes with suitable PEG shielding are found to be ideal delivery carriers for metformin and nintedanib with significantly prolonged retention in the lung. Moreover, repeated noninvasive aerosol inhalation delivery of metformin and nintedanib loaded liposomes can effectively diminish the development of fibrosis and improve pulmonary function in bleomycin-induced pulmonary fibrosis by promoting myofibroblast deactivation and apoptosis, inhibiting transforming growth factor 1 (TGFß1) action, suppressing collagen formation, and inducing lipogenic differentiation. Therefore, this work presents a versatile platform with promising clinical translation potential for the noninvasive inhalation delivery of drugs for respiratory disease treatment.

New insights of antineutrophil cytoplasmic antibody-associated vasculitis from the perspective of COVID-19 vaccination.

The occurrence of antineutrophil cytoplasmic antibodies (ANCA)-associated vasculitis (AAV) has been reported since the Coronavirus disease 2019 (COVID-19) vaccination, but whether there is a causal relationship or coincidence remains to be verified. We combined the term COVID-19 vaccination with each word of AAV to search for case reports and case series published in PubMed, EMBASE, and Web of Science databases before 13 th March 2023. A total of 56 patients who developed AAV after COVID-19 vaccination were identified from 44 research centers. Of the 56 subjects, 43 (76.7%) were vaccinated with the mRNA vaccine, followed by the adenovirus vaccine (14.3%) and inactivated vaccine (9.0%) (P = 0.015). Compared with relapsed AAV, new-onset AAV patients had at least two other diseases previously (P < 0.001). 25 (44.6%) patients presented symptoms after the first injection, and the medium onset time was 12 (1-77) days, while 28 (50.0%) patients developed symptoms after the second dose, and their medium period was 14 (1-60) days. 44 (78.5%) patients achieved remission after immunosuppressive agents, plasma exchange, and hemodialysis. One (1.8%) patient died from progressive respiratory failure and 9 (16.1%) did not recover, leaving 5 patients permanently dependent on hemodialysis. Pathogenic ANCA may be activated by enhanced immune response and epitope spreading after COVID-19 vaccination and induced the occurrence of AAV, especially in genetically susceptible populations.

Efficacy and safety of Jinhua Qinggan granules in the treatment of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.

OBJECTIVE: To evaluate, using meta-analysis, the efficacy and safety profile of Jinhua Qinggan granules (JHQG) in the treatment of novel coronavirus pneumonia. METHODS: We screened multiple publication databases (PubMed, Embase, The Cochrane Library, Web of Science, CNKI, WanFang, and VIP), using parameters designed to identify articles detailing randomized controlled trials relating to the treatment of novel coronavirus pneumonia with JHQG. The inclusion period for each search was the point of database inception to November 2022. Each piece of literature identified in our initial screening was independently reviewed by 2 researchers, who extracted the relevant data and evaluated the bias risk associated with the study. The data was split in 2: the control group (containing patients who had received routine treatment or placebo) and the experimental group (containing patients treated with JHQG). The meta-analysis was performed using Revman 5.4 software. The quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS: Four articles were selected for this study and combined included a total of 582 patients, which were subdivided into experimental (n = 347) and control (n = 235) groups. The results showed that treatment with JHQG could significantly: enhance the improvement rate of primary symptoms [relative ratio (RR) = 1.26,95% confidence interval (CI) (1.07, 1.49), P = .007] and fever [RR = 1.48, 95% CI (1.07, 2.04), P = .02]; decrease the viral nucleic acid in patients with coronavirus disease 2019 (COVID-19) [RR = 2.04, 95% CI (1.15, 3.62), P = .02] and reduce the progression of pneumonia [RR = 0.34, 95% CI (0.17, 0.67), P = .002]. However, there was no significant difference between the 2 groups with regards to: the improvement rate of cough, nausea and vomiting, fatigue, computed tomography, or frequency of adverse reactions. CONCLUSIONS: Current evidence indicates that JHQG is effective in treating COVID-19, increasing the rate of improvement for fever, increasing the negative rate of viral nucleic acid in patients with COVID-19 and reducing the aggravation rate of pneumonia. These conclusions need to be verified by further rigorous studies, as the existing results were limited by the number and quality of the included studies.

Novel insight into the underlying dysregulation mechanisms of immune cell-to-cell communication by analyzing multitissue single-cell atlas of two COVID-19 patients.

How does SARS-CoV-2 cause lung microenvironment disturbance and inflammatory storm is still obscure. We here performed the single-cell transcriptome sequencing from lung, blood, and bone marrow of two dead COVID-19 patients and detected the cellular communication among them. Our results demonstrated that SARS-CoV-2 infection increase the frequency of cellular communication between alveolar type I cells (AT1) or alveolar type II cells (AT2) and myeloid cells triggering immune activation and inflammation microenvironment and then induce the disorder of fibroblasts, club, and ciliated cells, which may cause increased pulmonary fibrosis and mucus accumulation. Further study showed that the increase of T cells in the lungs may be mainly recruited by myeloid cells through ligands/receptors (e.g., ANXA1/FPR1, C5AR1/RPS19, and CCL5/CCR1). Interestingly, we also found that certain ligands/receptors (e.g., ANXA1/FPR1, CD74/COPA, CXCLs/CXCRs, ALOX5/ALOX5AP, CCL5/CCR1) are significantly activated and shared among lungs, blood and bone marrow of COVID-19 patients, implying that the dysregulation of ligands/receptors may lead to immune cell's activation, migration, and the inflammatory storm in different tissues of COVID-19 patients. Collectively, our study revealed a possible mechanism by which the disorder of cell communication caused by SARS-CoV-2 infection results in the lung inflammatory microenvironment and systemic immune responses across tissues in COVID-19 patients.

International students' collective resilience in crisis: Sense of community reduced anxiety via social contact and social support during lockdown.

Objectives: The role of community in individuals' well-being has been extensively examined in the Western context. However, little is known about how the host community is related to sojourners' well-being in a crisis in an Asian context. The current study aims at exploring international students' sense of community in the Chinese context under the direct threat of a global health crisis. Methods: Using a cross-sectional sample of 102 international students staying in Wuhan during the 76-day lockdown at the earliest stage of the COVID-19 pandemic, the current study explored the relationship between international students' sense of community and anxiety, and the mediating role of social contact, social support from three key sources in the host community (host university, international students, and Chinese friends). Results: Results showed that participants' stronger sense of community indirectly reduced anxiety via the role of sources of contact and support from the host community. Conclusions: This study provided further evidence to support the nurturance of the sense of community in community resilience and provided implications on how the host community can help to enhance sojourners' psychological well-being in a global crisis.

Efficacy of traditional Chinese exercise for obesity: A systematic review and meta-analysis

Background Obesity is considered one of the biggest public health problems, especially in the background of the coronavirus disease 2019 (COVID-19) lockdown. It is urgent to find interventions to control and improve it. We performed this systematic review and meta-analysis to summarize the effect of traditional Chinese exercise on obesity. Methods We searched PubMed, Embase, Cochrane Library, the China National Knowledge Infrastructure (CNKI), the Chinese Scientific Journal Database (VIP), the Chinese Biomedical Literature Database (CBM), and WanFang database for updated articles published from the inception of each database to June 2022. Randomized controlled trials (RCTs) on traditional Chinese exercise in weight reduction were included, and related data were extracted. The random-effects model was used to adjust for the heterogeneity of the included studies, and funnel plots were used to examine publication bias. Results A total of 701 participants were included in the 10 studies. Compared with the control group, the outcome of body weight [mean difference (MD) = −6.10;95% CI = -8.79, -3.42], body mass index (MD = −2.03;95% CI = -2.66, -1.41), body fat mass (MD = −3.12;95% CI = -4.49, -1.75), waist circumference (MD = −3.46;95% CI = -4.67, -2.24), hip circumference (MD = −2.94;95% CI = -4.75, -1.30), and waist-to-hip ratio (MD = −0.04;95% CI = -0.06, -0.03) in the intervention group had significant differences. Egger's test and funnel plots showed that the potential publication bias of the included studies was slight (p = 0.249). Conclusion Traditional Chinese exercise is an effective treatment for obesity;people under the COVID-19 lockdown could do these exercises to control weight. However, a precise and comprehensive conclusion calls for RCTs on a larger scale with more rigorous designs considering the inferior methodological quality and limited retrieved articles. Systematic review registration www.crd.york.ac.uk/PROSPERO/, identifier CRD42021270015.