Coronavirus-related diseases pose a significant challenge to the global health system. Given the diversity of coronaviruses and the unpredictable nature of disease outbreaks, the traditional "one bug, one drug" paradigm struggles to address the growing number of emerging crises. Therefore, there is an urgent need for therapeutic agents with broad-spectrum anti-coronavirus activity. Here, we provide evidence that ATV006, an anti-SARS-CoV-2 nucleoside analog targeting RNA-dependent RNA polymerase (RdRp), has broad antiviral activity against human and animal coronaviruses. Using mouse hepatitis virus (MHV) and human coronavirus NL63 (HCoV-NL63) as a model, we show that ATV006 has potent prophylactic and therapeutic activity against murine coronavirus infection in vivo. Remarkably, ATV006 successfully inhibits viral replication in mice even when administered 96 h after infection. Due to its oral bioavailability and potency against multiple coronaviruses, ATV006 has the potential to become a useful antiviral agent against SARS-CoV-2 and other circulating and emerging coronaviruses in humans and animals.

Objective: To explore the longitudinal changes and related predictive factors of anxiety and intolerance of uncertainty (IU) among Chinese college students, so as to provide theoretical reference for promoting students mental health. Methods: Intolerance of Uncertainty Scale-short Form and the 7 item Generalized Anxiety Disorder Scale were administered among 5 683 students from 22 universities in Guangdong Province from September 10 to October 17, 2021 (T1, baseline survey), and from March 15 to April 22, 2023 (T2). Using paired sample t-test to analyze the changes in anxiety and IU among college students, a linear regression model was established to explore factors that can predict anxiety, IU and their changes during T1 and T2 periods. Results: During the T1 period, the average scores of anxiety and IU among college students were (3.26±3.46, 34.88±7.96), while during the T2 period, they were (4.41±4.16, 36.40±8.07). During the T2 period, the levels of anxiety and IU among college students were higher than those during the T1 period ( t=19.59, 13.67, P <0.01). The linear regression results showed that age ( B = -0.02 ), moderate ( B =-0.18) and poor ( B =-0.88) mental health status, as well as online browsing of Corona Virus Disease 2019 (COVID-19) epidemic (later called as epidemic) related information for >1-<3 hours ( B =-0.30) and ≥3 hours ( B =-0.22), all of which could negatively predict changes in anxiety during T1 to T2 periods. Living in rural areas ( B =0.11) could positively predict changes in anxiety during T1 to T2 periods ( P <0.05). Moderate ( B =-0.19) and poor ( B =-0.47) mental health status, browsing epidemic related information online for >1-<3 hours ( B =-0.32) and ≥3 hours ( B =-0.33), academic performance being moderately affected by the epidemic ( B =-0.10), and personal planning being moderately affected by the epidemic ( B =-0.13) and severely affected ( B =-0.22), all of which could negatively predict changes in IU during T1 to T2 periods ( P <0.05). Conclusions Levels of anxiety and intolerance of uncertainty increases significantly after epidemic. Mental health status of college students should need long term monitoring, and students with poor mental health should need special attention.

Quantum dots are an emerging semiconductor nanocrystalline material with optical and electronic properties. Quantum dots in the environment are transmitted into human body mainly via digestive system. Quantum dots in the workplace are transmitted into human body via various pathways such as the respiratory tract and mucocutaneous surface. They cross the blood brain barrier to affect the nervous system, eventually leading to irreversible damage. Quantum dots have more complex biological toxicity than ordinary nanomaterials and metal ions, due to their core-shell structure and surface modifiers. The physicochemical properties of quantum dots, such as particle size, surface modification, and charge, greatly influence their neurotoxic effects. Quantum dots can induce oxidative stress and inflammatory responses, causing neuronal damage and functional impairment, thereby affecting learning, memory, and synaptic plasticity. Its mechanisms may be the modulation of signaling pathways such as the mitogen-activated protein kinase/extracellular signal regulated kinase pathway. In the future, the neurotoxicity of different types of quantum dots should be systematically analyzed, and multi-omics methods should be used to elucidate the mechanism of quantum dots on neuronal damage to improve the safety of workers exposed to quantum dots.

Objective : To investigate the expression and mechanism of long non-coding RNA (lncRNA) metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and microRNA 181 a ( miR 181 a ) in a myocardial cell oxidative stress model. Methods : The expression of MALAT1 and miR 181 a in peripheral blood of 30 patients with acute myocardial infarction ( AMI group) and 30 healthy controls ( Normal group) was detected by qRT PCR. Pearson correlation analysis was performed to determine the correlation between MALAT1 and miR 181 a in AMI . The binding sites between MALAT1 and miR-181a were predicted using the lncBase online prediction database and validated by dual luciferase reporter assay. An oxidative stress model of myocardial cells was established by hydro gen peroxide (H2O2 ) treatment in AC16 human myocardial cell line . siRNA targeting MALAT1 ( si-MALAT) and negative control siRNA ( si-NC) were transfected into AC16 cells , and the cells were divided into H2O2 treatment (H2O2 ) group , H2 O2 + si NC group , and H2O2 + si-MALAT group . Cell proliferation activity was detected by CCK-8 assay , cell apoptosis was assessed by TUNEL assay , and the expression levels of cleaved caspase-3 , Bcl-2 associated X protein (Bax ) , and B cell lymphoma-2 ( Bcl-2) were determined by Western blot. Results : Compared to the Normal group , the expression of MALAT1 was upregulated and the expression of miR-181a was down regulated in the AMI group (P < 0.05) , and there was a negative correlation between MALAT1 and miR-181a expression. The lncBase online prediction database and dual-luciferase reporter assay results had proven that MAL AT1 could target and regulate the expression of miR 181 a. Compared to the H2O2 group, the H2O2 + si MALAT group showed increased cell viability (P < 0.05) , decreased TUNEL positive rate (P < 0.05) , decreased expres sion levels of cleaved caspase-3 and Bax (P < 0.05) , and increased expression level of Bcl-2 (P < 0.05) , while the H2O2 + si NC group showed no significant changes (P > 0.05) . Conclusion LncRNA MALAT1 expression is elevated in AMI patients , which could promote oxidative stress induced myocardial cell damage through targeted inhibition of miR-181a.

Objective:To evaluate the incidence of arrhythmias and electrocardiographic (ECG) characteristics in cancer patients treated with immune checkpoint inhibitors (ICIs).Methods:This was a cohort study conducted in the Fourth Hospital of Hebei Medical University. Cancer patients initiating ICIs treatments from November 2020 to September 2022 were included in this study. Baseline 12-leads ECG before ICIs initiation and post-treatment ECG were analyzed. An abnormal ECG was defined as the presence of any of the following changes: sinus arrhythmias, atrial fibrillation, atrial flutter, paroxysmal supraventricular tachycardia, ventricular tachycardia, premature contractions, conduction disorder, and ST-T changes.Results:A total of 87 patients were enrolled, aged 63 (57, 68) years, with 66 (75.9%) males. And 44.8% (39/87) of patients presented with at least one confirmed cardiovascular disease or cardiovascular risk factor at baseline. The incidence of abnormal ECG increased from 31.0% (27/87) at baseline to 65.5% (57/87) after receiving (5.0±2.7) cycles of ICIs treatment ( P<0.001). The incidence of sinus arrhythmias was significantly increased after ICIs treatment (23.0% (20/87) vs. 9.2% (8/87), P=0.023), of which only the incidence of sinus tachycardia was significantly increased (11.5% (10/87) vs. 2.3% (2/87), P=0.039). There was also a significantly increased incidence of ST-T changes after ICIs treatment (31.0% (27/87) vs. 17.2% (15/87), P=0.012), which mainly attributed to the T wave changes (29.9% (26/87) vs. 13.8% (12/87), P=0.001). The incidence of premature contractions was also significantly increased after ICIs treatment (9.2% (8/87) vs. 0, P=0.008). Additionally, compared with baseline, the P wave axis was significantly increased after ICIs treatment ((56.94±21.01)° vs. (52.00±22.69)°, P=0.043). After ICIs treatment, the heart rate was significantly increased ((79.07±15.37) beats/min vs. (75.64±13.37) beats/min, P=0.029). Sokolow-Lyon index ((2.21±0.81)mV vs. (2.33±0.75)mV, P=0.138), QTc interval ((431.44±36.04)ms vs. (428.00±30.05)ms, P=0.415) all showed signs of change after treatment, but did not reach the traditional significant level. Conclusions:The incidence of abnormal ECG is significantly increased after ICIs treatment, especially for sinus tachycardia, premature contractions and T wave changes; the P wave axis and heart rate is also significantly increased after treatment. It is important to perform regular ECG monitoring in patients receiving ICIs treatment.

Objectives:To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions.Methods:Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set ( n=284) and a validation set ( n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training ( n=243), validation ( n=105), and test ( n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results:We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression ( P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions:Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.

Mesenchymal stem cells have emerged as a promising cell therapy for anti-tumor research due to their homing properties,low immunogenicity,anti-angiogenic activity,anti-inflammatory properties,and paracrine effects.Paclitaxel has been clinically used for over thirty years in the treatment of various tumors such as ovarian cancer,lung cancer,and breast cancer.However,the broad-spectrum anti-tumor properties of paclitaxel are not possessed by the aforementioned cell therapies.Moreover,its adverse reactions,including peripheral neuropathy,bone marrow suppression,and gastrointestinal reactions,have long plagued cancer patients.In recent years,many studies have focused on combining cell therapy with chemotherapy to achieve better treatment outcomes,giving rise to a new drug delivery system that utilizes mesenchymal stem cells as carriers for delivering chemotherapeutic drugs.This review summarizes the research progress in MSC-based drug delivery systems for paclitaxel.

Objective:To investigate the characteristics of extracellular matrix vesicle mimetics prepared by mechanical extrusion and their effects on the cell viability and osteogenic differentiation potential of human periodontal ligament stem cells (PDLSC).Methods:PDLSC derived extracellular matrix vesicles were prepared by collagenase digestion, while the cell derived vesicle mimetics were simulated by mechanical extrusion. The obtained extracellular matrix vesicles and parental cell derived vesicle mimetics were divided into 4 groups: matrix vesicles derived from PDLSC cultured in basic medium for 7 days (PDLSC matrix vesicles, MVs), vesicle mimetics derived from PDLSC cultured in basic medium for 7 days (PDLSC vesicle mimetics, CVMs), matrix vesicles derived from PDLSC cultured in osteogenic inducing medium for 7 days (osteogenic-induced PDLSC matrix vesicles, O-MVs) and vesicle mimetics derived from PDLSC cultured in osteogenic inducing medium for 7 days (osteogenic-induced PDLSC vesicle mimetics, O-CVMs). Vesicles morphologies and sizes were observed by transmission electron microscopy and nanoparticle tracking analysis. Vesicles uptake was detected by immunofluorescence. With PDLSC as the control group, the effects of vesicles on the viability of PDLSC were detected by cell activity assay (cell counting kit-8), and the effects of vesicles on the osteogenic differentiation potential of PDLSC were detected by alizarin red staining and Western blotting.Results:Vesicles in MVs, O-MVs, CVMs and O-CVMs were all observed with a round structure (size 50-250 nm), and could be taken up by PDLSC without affecting the cell viability. Under osteogenic inducing conditions, PDLSC incubated with O-MVs or O-CVMs could produce more mineralized nodules than those in the control group (PDLSC). MVs, O-MVs, CVMs and O-CVMs could promote the expression of osteogenic-related proteins in PDLSC. PDLSC in group O-CVMs showed significant higher expressions of osteogenic-related proteins, including alkaline phosphatase (ALP) (1.571±0.348), osteopontin (OPN) (1.827±0.627) and osteocalcin (OCN) (1.798±0.537) compared to MVs (ALP: 1.156±0.170, OPN: 1.260±0.293, OCN: 1.286±0.302) ( P<0.05). Compared to CMVs-incubated PDLSC, O-CVMs-incubated PDLSC expressed more Runt-related transcription factor 2 (1.632±0.455 vs 1.176±0.128) and OPN (1.827±0.627 vs 1.428±0.427) ( P<0.05). Moreover, there was no significant difference in the expression levels of osteoblast-related proteins in PDLSC cultured with MVs, O-MVs and CVMs ( P>0.05). Conclusions:The vesicle mimetics prepared by mechanical extrusion method are similar in shape and size to the extracellular matrix vesicles. MVs, O-MVs, CVMs and O-CVMs do not affect the cell viability of PDLSC, and can promote the osteogenic differentiation potential of PDLSC to a certain extent.

Objective:To investigate the clinical characteristics of first-episode and recurrent acute hypertriglyceridemic pancreatitis (HTGP).Methods:The retrospective cohort study was con-ducted. The clinical data of 313 patients with HTGP admitted to 26 medical centers in China in the Chinese Acute Pancreatitis Clinical Research Group (CAPCTG)-PERFORM database from November 2020 to December 2021 were collected. There were 219 males and 94 females, aged 38(32,44)years. Of the 313 patients, 193 patients with first-episode HTGP were allocated into the first-episode group and 120 patients with recurrent HTGP were allocated into the recurrent group. Observation indica-tors: (1) propensity score matching and comparison of general data of patients between the two groups after matching; (2) comparison of severity and prognosis in the course of disease within 14 days between the two groups; (3) the association between recurrent HTGP and the risk of persistent organ failure (POF); (4) follow-up. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Wilcoxon rank sum test. Count data were expressed as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Wilcoxon rank sum test. The Kaplan-Meier method was used to plot the cumulative recurrence rate curve and Log-Rank test was used for survival analysis. The Logistic regression model was used for multivariate analysis, and continuous variables were converted into categorical variables according to the mean value or common criteria. Propensity score matching was performed by 1∶1 nearest neighbor matching method, with caliper value of 0.02. Paired t test or Wilcoxon rank sum test and McNemar′s test were used for comparison between matched groups. Results:(1) Propensity score matching and comparison of general data of patients between the two groups after matching. Of the 313 patients,208 cases were successfully matched, including 104 cases in the first-episode group and 104 cases in the recurrent group. After propensity score matching, there was no significant difference in demographic characteristics, severity of illness scores and laboratory test between the two groups ( P>0.05). The elimination of gender, acute physiology and chornic health evaluation (APACHE) Ⅱ score, computed tomography severity index score, systemic inflammatory response syndrome score, sequential organ failure assessment score, apolipoprotein E, C-reactive protein, creatinine, lactic acid dehydrogenase, procal-citonin confounding bias ensured comparability between the two groups. (2) Comparison of severity and prognosis in the course of disease within 14 days between the two groups. There were signifi-cant differences in POF and local complications between the first-episode group and the recurrent group ( P<0.05). (3) The association between recurrent HTGP and the risk of POF. Results of uncor-rected univariate analysis showed that there was no association between recurrent HTGP and the risk of POF ( odds ratio=0.78, 95% confidence interval as 0.46-1.30, P>0.05). Results of multivariate analysis after adjusting for covariates such as gender, age, APACHE Ⅱ score, C-reactive protein, triglyceride and total cholesterol showed that compared with first-episode HTGP, recurrent HTGP was associated with a higher risk of POF ( odds ratio=2.22, 95% confidence interval as 1.05-4.71, P<0.05). Results of subgroup analysis showed that age<40 years was associated with an increased risk of POF ( odds ratio=3.31, 95% confidence interval as 1.09-10.08, P<0.05). (4) Follow-up. Twelve of the 313 patients died during hospitalization, including 9 cases in the first-episode group and 3 cases in the recurrent group. The rest of 301 surviving patients, including 184 cases in the first-episode group and 117 cases in the recurrent group, were followed up for 19.2(15.5, 21.9)months. Results of follow-up showed that for 184 survived patients of the first-episode group, 164 cases were followed up and 24 cases experienced recurrence, for 117 survived patients of the recurrent group,29 cases experienced recurrence, showing a significant difference between the two groups ( χ2=4.67, P<0.05). Conclusion:Compared with first-episode HTGP, patients with recurrent HTGP are more prone to POF and local complications, and are more prone to recurrence after discharge. The risk of POF in recurrent HTGP patients is 2.22 times that of those with first-episode, and the risk is higher in patients with age <40 years.

Objectives:To develop and validate predictive models for esophageal squamous cell carcinoma (ESCC) using circulating cell-free DNA (cfDNA) terminal motif analysis. The goal was to improve the non-invasive detection of early-stage ESCC and its precancerous lesions.Methods:Between August 2021 and November 2022, we prospectively collected plasma samples from 448 individuals at the Department of Endoscopy, Cancer Hospital, Chinese Academy of Medical Sciences for cfDNA extraction, library construction, and sequencing. We analyzed 201 cases of ESCC, 46 high-grade intraepithelial neoplasia (HGIN), 46 low-grade intraepithelial neoplasia (LGIN), 176 benign esophageal lesions, and 29 healthy controls. Participants, including ESCC patients and control subjects, were randomly assigned to a training set ( n=284) and a validation set ( n=122). The training cohort underwent z-score normalization of cfDNA terminal motif matrices and a selection of distinctive features differentiated ESCC cases from controls. The random forest classifier, Motif-1 (M1), was then developed through principal component analysis, ten-fold cross-validation, and recursive feature elimination. M1's efficacy was then validated in the validation and precancerous lesion sets. Subsequently, individuals with precancerous lesions were included in the dataset and participants were randomly allocated to newly formed training ( n=243), validation ( n=105), and test ( n=150) cohorts. Using the same procedure as M1, we trained the Motif-2 (M2) random forest model with the training cohort. The M2 model's accuracy was then confirmed in the validation cohort to establish the optimal threshold and further tested by performing validation in the test cohort. Results:We developed two cfDNA terminal motif-based predictive models for ESCC and associated precancerous conditions. The first model, M1, achieved a sensitivity of 90.0%, a specificity of 77.4%, and an area under the curve (AUC) of 0.884 in the validation cohort. For LGIN, HGIN, and T1aN0 stage ESCC, M1's sensitivities were 76.1%, 80.4%, and 91.2% respectively. Notably, the sensitivity for jointly predicting HGIN and T1aN0 ESCC reached 85.0%. Both the predictive accuracy and sensitivity increased in line with the cancer's progression ( P＜0.001). The second model, M2, exhibited a sensitivity of 87.5%, a specificity of 77.4%, and an AUC of 0.857 in the test cohort. M2's sensitivities for detecting precancerous lesions and ESCC were 80.0% and 89.7%, respectively, and it showed a combined sensitivity of 89.4% for HGIN and T1aN0 stage ESCC. Conclusions:Two predictive models based on cfDNA terminal motif analysis for ESCC and its precancerous lesions are developed. They both show high sensitivity and specificity in identifying ESCC and its precancerous stages, indicating its potential for early ESCC detection.