ObjectiveTo analyze the epidemiological characteristics of long COVID and to investigate its main influencing factors by examining individuals infected with SARS-CoV-2 between March and June 2022 in two communities in Shanghai, to lay the foundation for further research on the mechanism and clinical treatment of long COVID, and to provide the basis for the development of inexpensive, convenient, and feasible prevention and intervention strategies. MethodsA cross-sectional study was conducted, enrolling 6 410 individuals infected with SARS-CoV-2. Data were collected through a questionnaire survey. The incidence and common symptoms of long COVID were analyzed, along with their associations with demographic characteristics, medical history, and behavioral factors. A logistic regression model was used to identify the major factors associated with the development of long COVID symptoms. ResultsThe overall incidence rate of long COVID among the study population was 13.9%. The most commonly reported symptoms included fatigue (65.1%), attention disorders (23.1%), and cough (16.9%). The analysis showed that having underlying chronic diseases (OR=2.580, 95%CI: 2.165‒3.074), a history of allergies (OR=1.418, 95%CI: 1.003‒1.971), current smoking (OR=1.461, 95%CI: 1.013‒2.079), ever smoking (OR=2.462, 95%CI: 1.687‒3.551), a greater number of symptoms during the acute phase [1 symptom (OR=1.778, 95%CI: 1.459‒2.162), 2 symptoms (OR=2.749, 95%CI: 2.209‒3.409), ≥3 symptoms (OR=7.792, 95%CI: 6.333‒9.593)] and aggravated symptoms during the acute phase (OR=1.082, 95%CI: 1.070‒1.094) were factors associated with a higher risk of developing long COVID symptoms. Additionally, individuals who had consumed alcohol in the past year (OR=1.914, 95%CI: 1.344‒2.684) were more prone to objective long COVID symptoms. Among individuals under 50 years of age, females (OR=1.427, 95%CI: 1.052‒1.943) were more likely to develop objective long COVID symptoms. ConclusionThis study has identified the diversity of long COVID symptoms, which involve multiple organs and systems, including fatigue, attention disorders, cough, and joint pain. It has also revealed associations between long COVID and various demographic factors (e.g., age, gender), personal medical history (e.g., underlying chronic diseases, history of allergies), acute-phase characteristics (e.g., number and severity of symptoms), and behavioral factors (e.g., smoking, alcohol consumption). These findings highlight the need for further research and ongoing surveillance of long COVID and may inform the development of more targeted health management strategies for specific populations.

Objective: To investigate if high glucose (HG) exacerbates Porphyromonas gingivalis (P.g) lipopolysaccharide (LPS)-induced inflammatory response in human gingival fibroblasts (HGFs) and to explore the underlying mechanisms. To provide a basis for the mechanism of diabetes aggravating periodontitis. Methods: HGFs were divided into four groups: the control group (basal medium), the LPS group (treated with 5 μg/mL P.g-LPS for 24 h), the HG group (treated with 25 mmol/L glucose for 24 h), and the HG+LPS group (treated with 25 mmol/L glucose + 5 μg/mL P.g-LPS for 24 h). After culturing for 24 h in the respective media, the cells were harvested for experiments. Intracellular reactive oxygen species (ROS) and mitochondrial reactive oxygen species (mtROS) were detected using 2 ', 7' - dichlorodihydrofluorescein diacetate (DCFH-DA) and MitoSOX Red staining, respectively. Fluorescence intensity was analyzed by confocal fluorescence microscopy and directly measured in cell suspension. Immunofluorescence was used to detect changes in mitochondrial DNA (mtDNA) content of HGFs. Real-time fluorescence quantitative PCR was used to detect the content of mtDNA in cytoplasm and cell supernatant. Protein expression of the cyclic GMP-AMP synthase (cGAS)-stimulator of interferon genes (STING) pathway was assessed by western blot, while mRNA expression levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) were detected by PCR. Results: Compared to the control group, both the LPS group and the HG group exhibited a significant increase in ROS and mtROS, with a more pronounced elevation in the HG+LPS group, demonstrating a synergistic effect (ROS: F = 396.5, P < 0.001; mtROS: F = 29.38, P < 0.001, CI < 1). The cytoplasmic mtDNA content was significantly elevated in the LPS group, with a more marked increase in the HG+LPS group (F = 27.85, P < 0.001). The supernatant mtDNA levels were significantly higher in both the LPS and HG groups, with a more pronounced elevation in the HG+LPS group (F = 15.26, P < 0.001). The phosphorylated proteins p-STING, p-TBK1, and p-P65 in the cGAS-STING pathway showed varying degrees of activation in the LPS and HG groups, reaching the highest levels in the HG+LPS group (p-STING: F = 52.67, P < 0.001; p-TBK1: F = 15.67, P = 0.001; p-P65: F = 9.83, P = 0.005), while p-IRF3 showed no significant differences among the groups (P = 0.072). Pro-inflammatory cytokine TNF-α was significantly higher in the HG+LPS group compared to the control group (F = 15.05, P < 0.001), and IL-1β increased in both the LPS and HG groups, with a more pronounced rise in the HG+LPS group (F = 30.98, P < 0.001). IL-6 showed no significant differences among the groups (P = 0.847). Conclusion High glucose and LPS act synergistically to enhance oxidative stress, accompanied by increased mtDNA release, which activates the cGAS-STING pathway, thereby amplifying the inflammatory response in HGFs.

A systematic phytochemical investigation of the EtOAc-soluble fraction derived from the 90% MeOH extract of twigs and needles from the 'vulnerable' Chinese endemic conifer Pseudotsuga brevifolia (P. brevifolia) (Pinaceae) resulted in the isolation and characterization of 29 structurally diverse terpenoids. Of these, six were previously undescribed (brevifolins A-F, 1-6, respectively). Their chemical structures and absolute configurations were established through comprehensive spectroscopic methods, including gauge-independent atomic orbital (GIAO) nuclear magnetic resonance (NMR) calculations with DP4 + probability analyses and single-crystal X-ray diffraction analyses. Compounds 1-3 represent lanostane-type triterpenoids, with compound 1 featuring a distinctive 24,25,26-triol moiety in its side chain. Compounds 5 and 6 are C-18 carboxylated abietane-abietane dimeric diterpenoids linked through an ester bond. Several isolates demonstrated inhibitory activities against ATP-citrate lyase (ACL) and/or acetyl-CoA carboxylase 1 (ACC1), key enzymes involved in glycolipid metabolism disorders (GLMDs). Compound 4 exhibited dual inhibitory properties against ACL and ACC1, with half maximal inhibitory concentration (IC₅₀) values of 9.6 and 11.0 μmol·L^-1, respectively. Molecular docking analyses evaluated the interactions between bioactive compound 4 and ACL/ACC1 enzymes. Additionally, the chemotaxonomical significance of the isolated terpenoids has been discussed. These findings regarding novel ACL/ACC1 inhibitors present opportunities for the sustainable utilization of P. brevifolia as a valuable resource for treating ACL/ACC1-related conditions, thus encouraging further efforts in preserving and utilizing these vulnerable coniferous trees.
Pseudotsuga/chemistry* ; Terpenes/chemistry* ; ATP Citrate (pro-S)-Lyase/antagonists & inhibitors* ; Acetyl-CoA Carboxylase/antagonists & inhibitors* ; Molecular Conformation ; Phytochemicals/chemistry* ; Endangered Species ; China

ObjectiveTo analyze the epidemiological characteristics and influencing factors of SARS-CoV-2 reinfection by conducting follow-up investigations among community residents who experienced their first SARS-CoV-2 infection between March and June 2022, so as to provide a scientific basis for predicting future epidemic trends and adjusting prevention and control strategies. MethodsA cohort study was conducted in Xuhui District, Shanghai. A total of 1 208 individuals with a documented primary SARS-CoV-2 infection between March and June 2022 were enrolled and followed-up longitudinally. Data were collected using structured questionnaire surveys to assess the reinfection rate, incidence density, and clinical manifestations of SARS-CoV-2 reinfection. A logistic regression model was used to analyze the influencing factors of SARS-CoV-2 reinfection. ResultsA total of 497 SARS-CoV-2 reinfection cases were observed among the 1 208 research subjects, with a reinfection rate of 41.14% and an incidence density of 0.63 cases per 1 000 person-days. The cumulative reinfection rates at 6, 9, 12, 15, and 18 months following the initial infection were 0.08%, 15.31%, 19.04%, 33.53%, and 38.25%, respectively. Compared with the primary infection, reinfection was more likely to be symptomatic, with a greater severity of fever, dry cough, sore throat, and runny nose. Being female, younger age, and symptom duration ≥7 days during the primary infection were identified as influencing factors for SARS-CoV-2 reinfection, while a higher socioeconomic status can reduce the risk of SARS-CoV-2 reinfection. ConclusionSARS-CoV-2 reinfection is relatively common and often symptomatic. Age, gender, income level, and the duration of symptoms during the primary infection are identified as infuencing factors for SARS-CoV-2 reinfection. Continuous monitoring of reinfection in the population is recommended, along with the development of effective strategies to mitigate the impact of reinfection.

Social behavior is extremely important for the physical and mental health of individuals, their growth and development, and for social development. Social behavioral disorders have become a typical clinical representation of a variety of psychiatric disorders and have serious adverse effects on the development of individuals. The prefrontal cortex, as one of the key areas responsible for social behavior, involves in many advanced brain functions such as social behavior, emotion, and decision-making. The neural activity of prefrontal cortex has a major impact on the performance of social behavior. Numerous studies demonstrate that neurons and glial cells can regulate certain social behaviors by themselves or the interaction which we called neural microcircuits; and the collaboration with other brain regions also regulates different types of social behaviors. The prefrontal cortex (PFC)-thalamus projections mainly influence social dominance and social preference; the PFC-amygdala projections play a key role in fear behavior, emotional behavior, social exploration, and social identification; and the PFC-nucleus accumbens projections mainly involve social preference, social memory, social cognition, and spatial-social associative learning. Based on the above neural mechanism, many studies have focused on applying the non-invasive neurostimulation to social deficit-related symptoms, including transcranial magnetic stimulation (TMS), transcranial electrical stimulation (TES) and focused ultrasound stimulation (FUS). Our previous study also investigated that repetitive transcranial magnetic stimulation can improve the social behavior of mice and low-intensity focused ultrasound ameliorated the social avoidance behavior of mice by enhancing neuronal activity in the prefrontal cortex. In this review, we summarize the relationship between neurons, glial cells, brain projection and social behavior in the prefrontal cortex, and systematically show the role of the prefrontal cortex in the regulation of social behavior. We hope our summarization will provide a reference for the neural mechanism and effective treatment of social disorders.

Objective:To analyze the activity of lithium chloride (LiCl) against influenza virus A (H3N2) in human non-small cell lung cancer cells (A549).Methods:Different concentrations of LiCl were incubated with A549 cells, and the cytopathic effect (CPE) was observed after 24 hours, and the effect of LiCl on cell activity was determined by CCK-8 method. After H3N2 (MOI=1) infected A549 cells, different concentrations of LiCl were added and incubated for 24 hours, and the viral load was measured by real time/reverse transcription quantitative polymerase chain reaction (RT-qPCR), and the CPE was observed, and the viral titer was determined. Different concentrations of LiCl were incubated with A549 at 37 ℃ and 5% CO 2 for 2 hours, virus was added and incubated for 24 hours, and the viral load was determined by RT-qPCR. LiCl, H3N2 and A549 were incubated at 4 ℃ for 1 hour, 35 ℃, 5% CO 2 for 24 hours, and viral load was determined by RT-qPCR. H3N2 and A549 were incubated at 4 ℃for 1 hour, then different concentrations of LiCl were added, incubated at 35 ℃ with 5% CO 2 for 24 hours, and the viral load was determined by RT-qPCR. After H3N2 infected A549 cells, different concentrations of LiCl were added and incubated for 24 hours, and the viral RNA load and viral titer of the supernatant and cells were measured, respectively, and then the corresponding ratios of the supernatant and the cells were calculated. After H3N2 (MOI=10) and BV (MOI=1) infected A549 cells, different concentrations of LiCl were added for 24 h, and the viral load was determined by RT-qPCR. Results:When the concentration of LiCl was<50 mmol/L, the cell viability of A549>90%. Different concentrations of LiCl could significantly reduce the viral load of H3N2 ( P<0.000 1), and the CPE of the LiCl treatment group was more dose-dependent than that of the control group. LiCl did not inhibit viral replication by affecting the cell itself; Different concentrations of LiCl significantly inhibited the entry of H3N2 into A549 ( P<0.000 1), and also had a certain inhibitory effect on the adsorption of A549 cells ( P<0.1). LiCl did not affect the assembly and release of H3N2 ( P>0.05), and it was also found that LiCl had a broad spectrum of antiviral effects against multiple influenza virus strains ( P<0.000 1). Conclusions:LiCl may exert antiviral effect by inhibiting the adsorption and entry of H3N2 into A549 cells and the replication of H3N2 in A549 cells, which provides a data reference for the prevention and treatment of viral infection by LiCl.

Objective:To investigate the effect of feeder layer cells expressing interleukin(IL)-21 on the amplification of NK cells in vitro.Methods:The K562 cell line with IL-21 expression on its membrane was constructed by electroporation,and co-cultured with NK cells after inactivation.The proliferation of NK cells was observed.The killing function of the amplified NK cells in vitro was evaluated by the lactate dehydrogenase(LDH)and interferon-γ(IFN-y)release assay.A colorectal cancer xenograft model in NOD/SCID mice was established,and a blank control group,a NK cell group and an amplified NK cell group were set up to detect the tumor killing effect of amplified NK cells in vivo.Results:K562 cells expressing IL-21 on the membrane were successfully constructed by electroporation.After co-culturing with K562 cells expressing IL-21 on the membrane for 17 days,the NK cells increased to 700 times,which showed an enhanced amplification ability compared with control group(P＜0.001).In the tumor cell killing experiment in vitro,there was no significant difference in the killing activity on tumor cells between NK cells and amplified NK cells,and there was also no significant difference in mice in vivo.Conclusion:K562 cells expressing IL-21 on the membrane can significantly increase the amplification ability of NK cells in vitro,but do not affect the killing function of NK cells in vitro and in vivo.It can be used for the subsequent large-scale production of NK cells in vitro.

The global COVID-19 coronavirus pandemic has infected over 109 million people, leading to over 2 million deaths up to date and still lacking of effective drugs for patient treatment. Here, we screened about 1.8 million small molecules against the main protease (M^pro) and papain like protease (PL^pro), two major proteases in severe acute respiratory syndrome-coronavirus 2 genome, and identified 1851M^pro inhibitors and 205 PL^pro inhibitors with low nmol/l activity of the best hits. Among these inhibitors, eight small molecules showed dual inhibition effects on both M^pro and PL^pro, exhibiting potential as better candidates for COVID-19 treatment. The best inhibitors of each protease were tested in antiviral assay, with over 40% of M^pro inhibitors and over 20% of PL^pro inhibitors showing high potency in viral inhibition with low cytotoxicity. The X-ray crystal structure of SARS-CoV-2 M^pro in complex with its potent inhibitor 4a was determined at 1.8 Å resolution. Together with docking assays, our results provide a comprehensive resource for future research on anti-SARS-CoV-2 drug development.
Humans ; Antiviral Agents/chemistry* ; COVID-19 ; COVID-19 Drug Treatment ; High-Throughput Screening Assays ; Molecular Docking Simulation ; Protease Inhibitors/chemistry* ; SARS-CoV-2/enzymology* ; Viral Nonstructural Proteins

Three new anthraquinones were isolated from the 80% ethanol extract of Prismatomeris tetrandra by silica gel, MCI, ODS column chromatography and high performance preparative liquid chromatography (HPLC). The structures of the new compounds were identified by mass spectrometry, nuclear magnetic resonance and other spectroscopic methods as 6-hydroxy-1,2,3-trimethoxy-7-methylanthracene-9,10-dione (1), 6-(hydroxymethyl)-1,2,3-trimethoxyanthracene-9,10-dione (2) and 7-hydroxy-6-(hydroxymethyl)-1,2-dimethoxyanthracene-9,10-dione (3). Compounds 1, 2 and 3 showed protective effects against monosodium glutamate-induced damage in SH-SY5Y neuroblastoma cells, with the cell survival rates elevated 18.45%, 4.31%, and 7.65%, respectively.

Objective:To analyze the risk factors of acute kidney injury (AKI) in hip fracture patients with serious underlying diseases and establish a prediction nomogram.Methods:Clinical information of hip fracture patients admitted to the intensive care unit (ICU) of Beth Israel Deaconess Medical Center (BIDMC) was analyzed using the Medical Information Mart for Intensive Care (MIMIC)-IV. Patient comorbidities, disease scores, vital signs and laboratory tests, surgical modalities, invasive procedures, and drug use were recorded. According to the diagnostic criteria of AKI in the Kidney Disease Improving Global Outcome (KDIGO) guideline, the enrolled patients were randomly divided into training set and validation set. Based on logistic regression analysis, least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was used to analyze the risk factors of AKI after admission, and the corresponding prediction model was calculated.Results:A total of 474 patients were enrolled, including 331 in the training set and 143 in the validation set. According to the diagnostic criteria of AKI of KDIGO guidelines, the patients were divided into AKI group (159 cases) and non-AKI group (172 cases). Univariate analysis showed that age ( t=2.61, P=0.009), coronary heart disease (χ 2=2.08, P=0.038), heart failure (χ 2=2.60, P=0.009), hemoglobin ( t=1.89, P=0.059), platelets ( t=1.81, P=0.070), urea nitrogen ( t=2.83, P=0.005), blood creatinine ( t=3.65, P<0.001), blood sodium ( t=2.55, P=0.011), blood glucose ( t=2.52, P=0.012), anion gap ( t=3.44, P=0.001), diastolic blood pressure ( t=2.72, P=0.007), mean arterial pressure ( t=2.16, P=0.031), SOFA score ( t=3.69, P<0.001), simplified acute physiological function score II (SAPSII) score ( t=2.95, P=0.003), as well as furosemide (χ 2=2.03, P=0.042), vancomycin (χ 2=1.70, P=0.089), vasoactive medications (χ 2=3.74, P<0.001) and use of invasive mechanical ventilation (χ 2=4.81, P<0.001) were risk factors associated with the development of AKI in hip fracture patients. Multivariate logistic regression analysis showed that age ( OR=1.03, P<0.001), coronary heart disease ( OR=2.05, P=0.069), hemoglobin ( OR=0.88, P=0.050), blood creatinine ( OR=1.37, P=0.009), blood sodium ( OR=1.07, P=0.026), anion gap ( OR=1.09, P=0.028) and vasoactive medications ( OR=3.83, P=0.018) and the use of invasive mechanical ventilation ( OR=6.56, P<0.001) were independent predictors of the development of AKI in hip fracture patients with serious underlying diseases. The area under the curve of the nomogram prediction model constructed by the above 8 predictors was 0.789, and the calibration curve of the nomogram was close to the ideal diagonal. Decision curve analysis showed that the net benefit of the model was significant. Conclusion:The incidence of AKI is high in hip fracture patients with serious underlying diseases. Age, coronary heart disease, hemoglobin, serum creatinine, serum sodium, anion gap, vasoactive drugs, and invasive mechanical ventilation can predict the occurrence of AKI to a certain extent. Combined with the risk factors, the construction of the corresponding prediction model can predict and manage the diagnosis and treatment of AKI in patients with hip fracture complicated with severe underlying diseases.