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.

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.

Objective To compare and explore the differences between the eight batches of drugs in the centralized procurement list and the 2018 edition of the national essential medicine list,and to provide reference for updating and improving the national essential medicine list and the national centralized procurement list of drugs.Methods The category,generic name variety,specification,and other information of drugs included in the centralized drug procurement were collected and compared with the 2018 edition of the national essential medicine list,and the reasons for differences were analyzed.Results A proportion of 39%of centralized procurement drugs were listed in national essential medicines.Forty pharmacological classifications were not involved in the drugs of centralized procurement.Only anticoagulant and thrombolytic drugs with dual attributes accounted for a smaller variety proportion than the specification proportion.Conclusion There are some differences between the centralized procurement list and the 2018 edition of the national essential medicine list,which have some rationality,but also some problems to be solved.

Objective To explore the current status of medication literacy among urban elderly patients with chronic diseases in Anhui Province,aiming to reveal the factors influencing their medication literacy,and to propose targeted measures for improvement.Methods This research involved 381 participants aged 60 and above.It was conducted in Anhui province between December,2022 and January,2023,with data collected through face-to-face interviews by pharmacists.Single-factor analysis and ordinal multi-class logistic regression analysis were conducted to determine factors affecting medication literacy.Results Medication literacy cognition and medication literacy behavior were rated as good among urban older adults in Anhui province of the 294 valid questionnaires.Those who did not understood package insert exhibited significantly lower medication literacy behavior than those who fully understood[estimate=-1.224,95%CI=(-2.130,-0.317),P<0.01].Elderly patients with chronic diseases faced issues such as an inability to read or understand drug instructions in the investigation.90.48%of elderly patients with chronic diseases never heard or seldom heard of medication guidance services.Conclusion Medication literacy among urban elderly patients with chronic diseases is generally good in Anhui province.The ability to understood drug instructions significantly influenced the medication literacy of urban elderly patients with chronic diseases.Modifying the drug instructions to meet the reading needs of the elderly patients with chronic diseases and developing pharmaceutical care could effectively enhance rational drug use among this demographic.

Objective:To study the role and specific mechanisms of glucose-6-phosphate dehydrogenase (G6PD), a key enzyme for glycometabolism, mediated reduction stress in arsenic-induced malignant transformation of cells.Methods:Immortalized human skin keratinocyte-forming cells (HaCaT cells) were treated with sodium arsenite (NaAsO 2) at a concentration of 0.0 (control group) and 1.0 μmol/L (arsenic group), and malignant transformation indicators were tested using cell growth kinetics assay, cell scratch assay, and soft agar colony formation assay. At different stages of arsenic treatment (0, 1, 7, 14, 21, 28, 35 passages of cells), the effects of NaAsO 2 on glycometabolism in HaCaT cells were determined using corresponding reagent kits and Western blot, including glucose-6-phosphate (G6P), lactate, acetyl CoA, G6PD levels, as well as protein expression levels of hexokinase 2 (HK-2), 6-phosphofructose-2-kinase/fructose-2, 6-diphosphatase 3 (PFKFB3), pyruvate dehydrogenase kinase 1 (PDK1), 6-phosphoglucose dehydrogenase (PGD), and G6PD. Mitochondria were extracted, and the effects of NaAsO 2 on HaCaT cells and mitochondrial redox [reduced nicotinamide adenine dinucleotide phosphate (NADPH)/nicotinamide adenine dinucleotide phosphate (NADP +) ratio, reduced glutathione (GSH)/oxidized glutathione (GSSG) ratio] were determined using corresponding reagent kits. The effect of G6PD on reduction stress and NaAsO 2-induced malignant transformation of HaCaT cells was determined using small interfering RNA (siRNA) intervention method. Results:Compared 1.0 μmol/L NaAsO 2-cultured HaCaT cells up to 35 generations (T-HaCaT cells) with matching passage 0.0 μmol/L NaAsO 2-cultured HaCaT cells [(33.797 ± 0.280) h, 0.177 ± 0.015, 13.667 ± 2.625], the multiplication time [(24.042 ± 0.479) h] was shorter ( t = 30.45, P < 0.001), the cell migration rate (0.396 ± 0.039) was higher ( t = 9.08, P < 0.001), and the number of colonies formed in soft agar (73.667 ± 4.450) was higher ( t = 20.11, P < 0.001). Compared with matching passage control group cells and 0 generation of the same group, G6P level in the arsenic group was higher at passages 1, 7, 14, 21, 28 and 35 ( P < 0.05), lactate and G6PD levels were higher at passages 14, 21, 28 and 35 ( P < 0.05), acetyl CoA level was lower at passages 21, 28 and 35 ( P < 0.05), and protein expression levels of HK-2, PFKFB3, PDK1, PGD, and G6PD were higher at passages 7, 14, 21, 28 and 35 ( P < 0.05). The NADPH/NADP + ratio of cells was higher at passages 1, 14, 21, 28 and 35 ( P < 0.05), GSH/GSSG ratio was higher at passages 21, 28 and 35 ( P < 0.05). The ratio of mitochondrial NADPH/NADP + was higher at passages 1, 7, 21, 28 and 35 ( P < 0.05), the GSH/GSSG ratio was higher at passages 1, 7, 14, 21, 28 and 35 ( P < 0.05). G6PD expression was silenced by siRNA in T-HaCaT cells, compared with the T-HaCaT con siRNA-treated group, the T-HaCaT G6PD siRNA-treated group had lower NADPH/NADP + and GSH/GSSG ratios in both cells and mitochondria ( P < 0.05), longer cell multiplication time, lower cell migration rate, and fewer soft agar colonies ( P < 0.05). Conclusion:During the malignant transformation of HaCaT cells induced by NaAsO 2, G6PD and other enzymes related to glycometabolism are activated, leading to reprogramming of glycometabolism, resulting in an imbalance of cell redox homeostasis and enhanced reduction stress in cells and mitochondria, thereby promoting NaAsO 2 induced malignant transformation of HaCaT cells.

The efficient clinical treatment of oral squamous cell carcinoma(OSCC)is still a challenge that demands the development of effective new drugs.Phenformin has been shown to produce more potent anti-tumor activities than metformin on different tumors,however,not much is known about the influence of phenformin on OSCC cells.We found that phenformin suppresses OSCC cell proliferation,and promotes OSCC cell autophagy and apoptosis to significantly inhibit OSCC cell growth both in vivo and in vitro.RNA-seq analysis revealed that autophagy pathways were the main targets of phenformin and identified two new targets DDIT4(DNA damage inducible transcript 4)and NIBAN1(niban apoptosis regulator 1).We found that phenformin significantly induces the expression of both DDIT4 and NIBAN1 to promote OSCC autophagy.Further,the enhanced expression of DDIT4 and NIBAN1 elicited by phenformin was not blocked by the knockdown of AMPK but was suppressed by the knockdown of transcription factor ATF4(activation transcription factor 4),which was induced by phenformin treatment in OSCC cells.Mechanistically,these results revealed that phenformin triggers endoplasmic reticulum(ER)stress to activate PERK(protein kinase R-like ER kinase),which phosphorylates the transitional initial factor eIF2,and the increased phosphorylation of eIF2 leads to the increased translation of ATF4.In summary,we discovered that phenformin induces its new targets DDIT4 and especially NIBAN1 to promote autophagic and apoptotic cell death to suppress OSCC cell growth.Our study supports the potential clinical utility of phenformin for OSCC treatment in the future.

Multiple sclerosis (MS) is a neuroinflammatory demyelinating disease, mediated by pathogenic T helper 17 (Th17) cells. However, the therapeutic effect is accompanied by the fluctuation of the proportion and function of Th17 cells, which prompted us to find the key regulator of Th17 differentiation in MS. Here, we demonstrated that the triggering receptor expressed on myeloid cells 2 (TREM-2), a modulator of pattern recognition receptors on innate immune cells, was highly expressed on pathogenic CD4-positive T lymphocyte (CD4⁺ T) cells in both patients with MS and experimental autoimmune encephalomyelitis (EAE) mouse models. Conditional knockout of Trem-2 in CD4⁺ T cells significantly alleviated the disease activity and reduced Th17 cell infiltration, activation, differentiation, and inflammatory cytokine production and secretion in EAE mice. Furthermore, with Trem-2 knockout in vivo experiments and in vitro inhibitor assays, the TREM-2/zeta-chain associated protein kinase 70 (ZAP70)/signal transducer and activator of transcription 3 (STAT3) signal axis was essential for Th17 activation and differentiation in EAE progression. In conclusion, TREM-2 is a key regulator of pathogenic Th17 in EAE mice, and this sheds new light on the potential of this therapeutic target for MS.
Animals ; Humans ; Mice ; CD4-Positive T-Lymphocytes/pathology* ; Cell Differentiation ; Encephalomyelitis, Autoimmune, Experimental/metabolism* ; Mice, Inbred C57BL ; Multiple Sclerosis ; Th1 Cells/pathology*

ObjectiveTo elucidate the principles and methods of the Bayesian probabilistic linkage model， and to demonstrate the effect of applying the model in linking birth and death data. MethodsThrough the Shanghai birth and death registration system， data of 199 025 infants born in 2017 and 1 512 infants who died in 2017 and 2018 were collected. After cleaning the data， the data were divided into monthly blocks and fully linked. The Jaro-Winkler algorithm and Euclidean distance were employed to measure the similarity of fields for matching. A Bayesian probabilistic linkage model was constructed and the linking effect was evaluated using a confusion matrix. ResultsUsing the Bayesian probabilistic linkage model， the birth and death data of infants were effectively linked， revealing that 36.71% of infants who died in Shanghai were born outside the city， and the probability of infant death was 2.6‰. The confusion matrix of the test set showed a recall rate of 0.86， precision of 0.76， and an F-score of 0.81. ConclusionThe practical application of Bayesian probabilistic linkage demonstrates a good model performance， enabling the establishment of birth-death cohorts that more accurately reflect the true levels of infant mortality. Utilizing this technique to integrate data from different departments can effectively improve research efficiency in the field of public health.

Objective:To explore the association between insulin resistance (IR) and genome-wide DNA methylation based on Shanghai twin study.Methods:Monozygotic twins (MZ) from Shanghai were recruited during 2012-2013, 2017-2018, and 2022-2023. Data were collected by questionnaire survey, physical examination and laboratory tests. Genome-wide DNA methylation was quantified. Generalized linear mixed effect model was applied to analyze the association between methylation level at each site and homeostatic model assessment 2-insulin resistance (HOMA2-IR). Non-paired and paired designs were used to assess the association between DNA methylation and phenotype of IR. Cluster analysis was conducted to identify the clusters of top significant sites. Generalized linear regression was performed to examine the differential methylation patterns from clusters.Results:A total of 100 MZ pairs were included in this study. Hypermethylated cg10535199-2q23.1 ( β=0.74%, P=1.51×10 -7, OR=1.06, 95% CI: 1.03-1.09) and ch.17.49619327- SPOP ( β=0.23%, P=7.54×10 -7, OR=1.17, 95% CI: 1.08-1.28) were identified with suggestive significance. After correcting for multiple testing, no sites reached genome-wide significance. There was no statistical significance in the paired analysis. Two clusters with hypomethylated ( β=-0.39%, P<0.001) and hypermethylated ( β=0.47%, P<0.001) patterns were observed for HOMA2-IR. Conclusions:IR was significantly associated with DNA methylation, and genetic factors might contribute to the association.

[Objective]To investigate the association between screen content and the frequency of screen exposure at the age of one and a half years and hyperactive behavior in preschool,and to explore how the association is affected by the interaction between outdoor activities and screen behaviors,which could provide theoretical basis and feasible solutions for the prevention and intervention of behavioral problems in childhoood.[Methods]The survey was conducted from June 2022 to June 2023 in Huicheng District,Huizhou (China) stratified by whole cluster sampling methods. Parents and teachers of 5648 children in 61 kindergartens were sampled for questionnaire surveys. The Conners Teacher Rating Scale (TRS) was used to investigate hyperactive behavior. A self-administered questionnaire was used to investigate basic demographic information of children,screen content,frequency of screen exposure and outdoor activities at the age of one and a half years. Multivariate logistic regression was used to explore the association between video screen behavior and hyperactive behavior and its interaction with outdoor activities by controlling for covariates such as children's age,gender,and parental education.[Results]Result showed the overall prevalence of 3.2％ for hyperactive behavior,2.1％ for conduct problems,2.1％ for hyperactivity problems,1.3％ for inattention-passivity problems,and 0.9％ for hyperactivity index. After adjusting for confounding factors,multiple logistic regression analysis showed that screen exposure of "two to four times a week" at one and a half years old was associated with an increased detection rate of hyperactive behaviors in preschool children,with an estimated ORs (95％ CI) of 1.682 (1.141,2.480). Daily screen exposure was associated with increased detection rates of hyperactive behavior,conduct problems,hyperactivity issues,inattention-passivity problems,and hyperactivity index in pre-school age. The estimated ORs (95％ CI) were 2.136 (1.218,3.746),2.321 (1.185,4.546),2.300 (1.208,4.380),2.776 (1.267,6.085) and 3.640 (1.525,8.687),respectively. But the above associations were not found in children who were engaged in daily outdoor activities at the age of one and a half years (P value for interaction<0.001). No association was found between screen content and hyperactive behavior (P>0.05).[Conclusions]Frequency of screen exposure in early childhood is significantly associated with hyperactive behavior problems in preschool,and outdoor activities could weaken the correlation between high-frequency screen exposure and hyperactive behavior,suggesting that parents and schools should prioritize scientifically guiding children's video viewing behavior and outdoor activities,ensuring a well-arranged daily life,to lay a good foundation for the healthy development of children's behavior.