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As a famous female poet from Liaoning Province, Li Qing-song plays a unique role in modern poetic world for her vivid expressions and her deep understanding of females. On the basis of lyric image in poems by Li Qing-song, a detailed analysis is made of the relationship between the image of peach blossoms and traditional aesthetic expressions, between the image of iron and the cultural image in pre-industrial age, and between the "subtle" expressions and her deep understanding of females. Her paradoxical aestheticism in understanding of females and her self-experience represent the actual situation in poetic writings in Liaoning Province. [ABSTRACT FROM AUTHOR]

Background: The high prevalence of depression in general population was related to its social-demographics and cognitive performance. However, no studies investigated the prevalence of depression, its social-demographic and cognitive correlates in psychiatric medical staff. Thus, the aims of this study investigated the prevalence, social-demographic and cognitive correlates of depression in Chinese psychiatric medical staff.Methods: 186 Chinese psychiatric medical staff were enrolled in Wenzhou Kangning Hospital. Depressive symptom score was assessed by the Self-rating Depression Scale (SDS). Cognition was assessed by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS).Results: The prevalence of depression was 17.74% in these medical staff. The RBANS total score in participants with depressive symptom was significantly lower than that in participants with not depressive symptom after controlling for the confounding variables. The Person correlation analysis found that the normal SDS score in these medical staff was significantly related to age, education, occupations, RBANS total score and subscale scores. Stepwise multivariate regression analysis further identified that age and RBANS total score were significantly associated with the normal SDS score in these medical staff.Limitations: The limitations included cross-sectional study design, the small sample size, and the self-rating scale of depression.Conclusions: The prevalence of depression in Chinese psychiatric medical staff was higher in comparison with Chinese general population, but lower in comparison with Chinese medical staff. Cognitive deficits might be considered a core feather of depression that should be a valuable target for future interventions. Age influenced depressive symptom in these medical staff . [ABSTRACT FROM AUTHOR]

[Display omitted] • Untargeted metabolomics was used to reveal the chemical differences of Hangbaiju. • Influence of soil mineral elements on the content of differential metabolites was investigated. • Relationship between metabolites and mineral elements was explored by chemometric analysis. • Differential metabolites were significantly correlated with mineral elements in planting soils. • This work provides new insights for better understanding geographical differences of Hangbaiju. Chrysanthemum morifolium Ramat cv. "Hangbaiju" (HBJ), known as one of the "eight flavors of Zhejiang", is commonly used as a classical tea material for both food and medicine over three thousand years in China. The quality of HBJ is closely related to its geographical origins. However, the mechanism underlying the geographical differences of HBJ remains to be elucidated. In this study, an untargeted metabolomic strategy based on UHPLC-QTOF-MS was established to discover the differential metabolites in HBJ samples from four different origins and explore the possible relationship with mineral elements in planting soils by chemometric analysis. Eight compounds were screened and identified as the key differential metabolites in HBJ samples from different origins. Among them, four important pharmacodynamic compounds including L-arginine, rutin, chlorogenic acid and apigenin-7-O-glucoside are the most abundant in HBJ samples from Tongxiang region, which suggests that HBJ planted in Tongxiang has higher medicinal values. Pearson correlation analysis revealed that the contents of soil mineral elements are positively correlated with those of chlorogenic acid, rutin, apigenin-7-O-glucoside in HBJ samples. Furthermore, an interrelationship model based on random forest algorithm was established to successfully predict the contents of differential metabolites in HBJ samples by soil mineral elements. All these results indicated that the contents of differential metabolites in HBJ samples seemed to be affected by soil mineral elements and therefore resulted in the geographical differences of HBJ. [ABSTRACT FROM AUTHOR]

• MS-based untargeted metabolomics was firstly proposed to identify origins of Chinese wines. • There was strong correlation between geographical origins and metabolic profiles of wines. • The differential metabolites were screened as markers by OPLS-DA with pairwise modeling. • Tentative identification of differential metabolites was conducted based on MS and MS2 data. • Reliable OPLS-DA models based on markers were constructed for predicting origins of wines. Identifying geographical origins of red wines made in specific regions is of significance since the false claim of geographical origins has been frequently exposed in China's wine industry. In this work, an untargeted metabolomic approach based on UPLC-QTOF-MS was established to discriminate geographical origins of Chinese red wines. The principal component analysis (PCA) showed significant differences between wine samples from three famous geographical origins in China. The metabolites contributing to the differentiation were screened by orthogonal partial least squares-discriminant analysis (OPLS-DA) with pairwise modeling. 40 and 46 differential metabolites in positive and negative ionization modes were putatively identified as chemical markers. Furthermore, heatmap visualization and OPLS-DA models were constructed based on these identified markers and external verification wine samples from different regions were successfully discriminated, with recognition rate up to 96.7%. This study indicated that UPLC-QTOF-MS-based untargeted metabolomics has great potential for the geographical origin traceability of Chinese red wines. [ABSTRACT FROM AUTHOR]

Wine is a very popular alcoholic drink owing to its health benefits of antioxidant effects. However, profits-driven frauds of wine especially false declarations of variety frequently occurred in markets. In this work, an UHPLC-QTOF-MS-based untargeted metabolomics method was developed for metabolite profiling of 119 bottles of Chinese red wines from four varieties (Cabernet Sauvignon, Merlot, Cabernet Gernischt, and Pinot Noir). The metabolites of red wines from different varieties were assessed using orthogonal partial least-squares discriminant analysis (OPLS-DA) and analyzed using KEGG metabolic pathway analysis. Results showed that the differential compounds among different varieties of red wines are mainly flavonoids, phenols, indoles and amino acids. The KEGG metabolic pathway analysis showed that indoles metabolism and flavonoids metabolism are closely related to wine varieties. Based on the differential compounds, OPLS-DA models could identify external validation wine samples with a total correct rate of 90.9 % in positive ionization mode and 100 % in negative ionization mode. This study indicated that the developed untargeted metabolomics method based on UHPLC-QTOF-MS is a potential tool to identify the varieties of Chinese red wines., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Background: Elevated phospholipase A2 (PLA2) activity is reported to be involved in the development of schizophrenia. Further study revealed an association between PLA2 groups XIIA (PLA2G12A) polymorphism and patients with schizophrenia in a northeast Chinese Han population., Objective: This study will further examine whether PLA2G12A rs3087494 polymorphism is associated with patients with schizophrenia in a southern Chinese Han population., Methods: This polymorphism was genotyped in 438 patients with schizophrenia (diagnosed according to Diagnostic and Statistical Manual of Mental Disorders-IV) and 876 healthy controls using a case-control design. Demographic and clinical data were collected in all subjects., Results: The allele and genotype frequencies of PLA2G12A rs3087494 polymorphism significantly differed between groups (both, p < .001). These differences still were significant by adjusting for sex and age. However, there was no difference in age at onset among 3 genotype groups in patients with schizophrenia by adjusting for the variables (F = 0.22, p = .80). Stepwise multivariate regression analysis showed that this polymorphism was not associated with age at onset in patients with schizophrenia (β = .008, t = .07, p = .94)., Conclusions: Our results indicated that even though PLA2G12A rs3087494 polymorphism did not influence age at onset in patients with schizophrenia, it may play an important role in the susceptibility to schizophrenia in a southern Chinese Han population., (Copyright © 2018 John Wiley & Sons, Ltd.)