Prevalence of depression, anxiety in China during the COVID-19 pandemic: an updated systematic review and meta-analysis.

Background: Mental health risks associated with the aftermath of the COVID-19 pandemic are often overlooked by the public. The aim of this study was to investigate the effects of the COVID-19 pandemic on depression and anxiety disorders in China. Methods: Studies were analyzed and extracted in accordance with the PRISMA 2020 flowchart. The studies were screened and extracted using electronic databases including PubMed, Web of Science, Embase, Cochrane Library, and ClinicalTrials.gov according to the predefined eligibility criteria. The Cochrane Review Manager software 5.3.1 was used for data analysis and the risk of bias assessment. Results: As of 2023, a total of 9,212,751 Chinese have been diagnosed with COVID-19 infection. A total of 913,036 participants in 44 studies were selected following the eligibility criteria, the statistical information of which was collected for meta-analysis. The pooled prevalence of depression and anxiety were 0.31 (95% CI: 0.28, 0.35; I2 = 100.0%, p < 0.001) and 0.29 (95% CI: 0.23, 0.36; I2 = 100.0%, p < 0.001), respectively. After performing a subgroup analysis, the prevalence of depression among women, healthcare workers, students, and adolescents was 0.31 (95% CI: 0.22, 0.41), 0.33 (95% CI: 0.26, 0.44), 0.32 (95% CI: 0.26, 0.39), and 0.37 (95% CI: 0.31, 0.44), respectively. Conclusion: The prevalence of depression and anxiety among the Chinese was overall high. Monitoring and surveillance of the mental health status of the population during crises such as sudden global pandemics are imperative. Systematic review registration: https://clinicaltrials.gov/, identifier [CRD42023402190].

[Establishment and application of co-transfection screening method for phytoestrogen active constituents].

OBJECTIVE: To establish a highly sensitive screening method for phytoestrogen active constituents and to primarily screen the phytoestrogenic active constituents from the chickpea extractions by the method. METHOD: Human ERalpha cDNA was cloned using MCF-7 total RNA as the template by RT-PCR and then was constructed into a pcDNA3 and named as pERalpha. The cell line MCF-7 was co-transfected with pERalpha and the reporter plasmid pERE-Luc which carrying the estrogen response element (ERE) plus the luciferase reporter gene. The luciferase activity was then assayed. The model was optimized by changing the ratio of two plasmids. The feasibility of the optimized model was further proved by the several known phytoestrogen compounds including fermononetin, biochanin A and genistein, et al. As an application of the model, the phytoestrogen activity of the extracts of the chickpea was assayed. RESULT: The recombinant plasmid (pERalpha) can enhance luciferase activities of pERE-Luc transfected MCF-7 cells. The highest transfection efficiency and luciferase activity were found at the ratio of 10:1 (pERE-Luc: pERalpha), the luciferase activity was improved five times as high as the unique pERE-Luc transfection. The co-transfection screening model also indicated that fermononetin, biochanin A and genistein could induce ERE-driven luciferase activity and ICI 182,780 suppressed the induced transcription. As the application of the model, the results showed that the ethanol (70%) total extraction, the ethyl acetate extraction and the ligarine extraction of the chickpea can induce ERE-driven luciferase activity. Concurrent treatment with ICI 182,780 abolished the induced luciferase activity. CONCLUSION: A phytoestrogen active constituent screening mode have been established based on co-transfection method. It is sensitive to assay the phytoestrogen active constituents and can be applied to screen the active component of phytoestrogens.