Objective To explore the mechanism of the gut-lung axis in paraquat-induced lung injury in mice, with a focus on analyzing the changes in intestinal gene expression and their potential roles. Methods Specific pathogen-free C57BL/6 wild-type mice were randomly divided into control, low-dose, and high-dose groups, with 10 mice in each group. Mice in the three groups received a single intragastric administration of paraquat solution at doses of 0, 25, or 50 mg/kg body weight. The mice were euthanized on day 21. Lung histopathological changes were assessed, and the differentially expressed genes (DEGs) in the intestinal tissues of mice in these two groups were analyzed through transcriptomics. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to explore potential mechanisms of the gut-lung axis in paraquat-induced lung injury and fibrosis. Results Paraquat exposure induced dose-dependent pulmonary injury and fibrosis in the mice. The Ashcroft score of lung tissue was higher in the mice of low-dose group than that in the control group (P<0.05). Both the lung organ coefficient and Ashcroft score of lung tissues in the mice of high-dose group were higher than those in the control group and the low-dose group (all P<0.05). The result of transcriptomic analysis showed 146 DEGs, including 91 upregulated and 55 downregulated genes, in intestinal tissues of mice in the low-dose group, and 57 DEGs, including 47 upregulated and 10 downregulated genes in the high-dose group, compared with the control group. Notably, 19 DEGs were commonly altered in both low- and high-dose groups. The result of GO enrichment analysis showed that the DEGs were primarily involved in biological processes including "immune response", "oxidative stress" and "cell differentiation". The result of KEGG enrichment analyses showed that DEGs were primarily involved in key processes including "oxidative stress response path way", "immune response path way" and "digestion and absorption path way". Conclusion Paraquat exposure alters intestinal gene expression, particularly in genes in biological processes related to immune responses and oxidative stress. These changes may mediate inflammatory signaling via the gut-lung axis and contribute to the development of paraquat-induced pulmonary fibrosis.

ObjectiveTo explore the law of women reproductive aging based on theory of "seven-year period" in traditional Chinese medicine（TCM） through analyzing the characteristics of basic sex hormone levels and anti-müllerian hormone levels in women of different ages. MethodsThe data of female who visited Guangdong Provincial Hospital of Traditional Chinese Medicine from January 2018 to December 2022 and accepted basic hormone and anti-müllerian hormone determination were collected retrospectively. According to the age of subjects， they were divided into the "1-2 seven" group （under 21 years old）， "3 seven" group （21-27 years old）， "4 seven" group （28-34 years old）， "5 seven" group （35-41 years old）， "6 seven" group （42-48 years old） and "7 seven" and older group （49 years old and above）. The age， average menstrual cycle in the past 3 months， basic hormone levels including follicle stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， testosterone （T） and FSH/LH value， and anti-müllerian hormone （AMH） levels were collected and compared. ResultsA total of 1221 cases were included. The differences in FSH， LH， FSH/LH values， E₂， T， AMH levels and average menstrual cycle among the groups were statistically significant （P＜0.05 or P＜0.01）. AMH peaked in the "3 seven" group. Compared to those in the "3 seven" group， the FSH/LH value in the "4 seven" group increased， while the LH， AMH and T levels decreased， and the menstrual cycle was shortened （P＜0.01）. The FSH/LH， LH， AMH， T and menstrual cycle in the "5 seven" group were consistent with the changing trend of those in the "4 seven" group， while the FSH and E₂ levels in the "5 seven" group were significantly higher （P＜0.05 or P＜0.01）. Compared to those in the "5 seven" group， the FSH， LH and E₂ levels of the "6 seven" group increased， and the AMH and T levels continued to decrease （P＜0.05 or P＜0.01）. Compared to those in the "6 seven" group， the FSH and LH levels of the "7 seven" and older group continued to increase， and the AMH and E₂ levels decreased （P＜0.01）. ConclusionThe law of women reproductive aging in the "seven-year period" theory is basically consistent with the characteristics of basic sex hormone levels and anti-müllerian hormone levels in women of different ages. The reproductive capacity reaches its peak in the "three-seven-year period" and gradually moves towards reproductive aging in the "four-seven-year period".

Objective:The results of the three lipid detection systems were compared to analyze their influence on risk stratification and clinical treatment in lipid management, especially the target goal cut-off point determination, and to find ways to reduce the impact on target goal determination of various lipid measurement system.Methods:A total of 196 serum samples with triglyceride TG <4.5 mmol/L were collected from people undergoing physical examinations and in-patients in the Second Xiangya Hospital of Central South University from August to October 2022. Triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were directly detected with Hitachi-Woke (HW), Roche and Mindray detection systems, respectively. The non high-density lipoprotein cholesterol (non HDL-C) was calculated by formula (TC-HDL-C) and LDL-C (F-LDL-C) was calculated by Friedewald formula, and results from various methodology were compared. The coefficient of variation ( CV) of these six indicators derived from the three detection systems were calculated to evaluate the consistency of the obtained results from different venders. In addition, the Pearson correlation coefficient was analyzed to evaluate the correlation of each indicator among different systems. According to the Chinese Guidelines for Blood Lipid Management, samples were divided into groups with LDL-C levels of <1.4, 1.4-<1.8, 1.8-<2.6, 2.6-<3.4 and ≥3.4 mmol/L according to the recommended LDL-C levels for different risk stratification levels. The sample size and percentage of LDL-C test results from different systems in the same group were counted to evaluate the impact of LDL-C differences between systems on clinical decision-making of blood lipid management. The correction factor was calculated through two methods: (1) The average deviation of LDL-C between systems was estimated by EP9-A3 method; (2) Multiple linear stepwise regression was used to establish the regression model of LDL-C difference and related indexes between systems. The two correction factors were used to correct the deviation of LDL-C value obtained from various systems, and Chi-square test was used to compare the difference of LDL-C grouping consistency rate before and after correction. Result:The average CV values of TG, TC, LDL-C, F-LDL-C, HDL-C, and non HDL-C among the three detection systems were 4.84%, 1.92%, 11.96%, 3.81%, 5.82% and 2.61%, respectively. Correlation analysis showed that when comparing the three systems in pairs, except for LDL-C derived from HW and Roche′s, and Mindray and Roche′s LDL-C ( R 2=0.938 and 0.947), the R 2 of other indicators were all greater than 0.97. The consistency rates of the three systems on LDL-C and F-LDL-C were 51.0% (100/196) and 90.8% (178/196), respectively, according to the risk stratification standard values and the difference was statistically significant ( P<0.05). When comparing in pairs, the consistency rates of Roche and HW, Mindray and HW, Mindray and Roche system LDL-C grouping were 60.7% (119/196), 82.7% (162/196), and 54.1% (106/196), respectively. After adjusting for mean deviation, the group consistency rate of Roche and HW increased to 73.7%-79.4% ( P<0.05), and the group consistency rate of Roche and Mindray increased to 72.3%-79.0% ( P<0.05). After adjusting for difference regression model, the group consistency rate of Roche and HW increased to 82.5%-84.0%, and the group consistency rate of Roche and Mindray increased to 81.0%-89.2%. However, there was no significant change in the group consistency rate of Mindray and HW after adjusting for both correction methods ( P>0.05) .Conclusions:There are significant differences in LDL-C derived from different detection systems, and the consistency rate of grouping according to the lipid-lowering standard value is relatively low, which may affect clinical decision-making in lipid management. Adjusted by the correction factor, the consistency rate of grouping between Roche and HW, Roche and Mindray systems with large differences in LDL-C can be improved. Using the difference multiple linear regression model as a correction factor is superior to the average deviation.

Objective: To investigate the specificity of endogenous metabolic profile in plasma of patients with occupational acute methyl acetate poisoning using non-targeted metabolomics. Methods: A total of six patients with occupational acute methyl acetate poisoning were selected as the poisoning group, while 10 healthy workers without occupational exposure history of chemical hazards in the same industry were selected as the control group using the judgment sampling method. Metabolites in patient plasma of the two groups were detected using ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry, and non-targeted metabolomics analysis was performed. Principal component analysis and partial least squares discriminant analysis were used to identify differential metabolites and analyze their metabolic pathways. Results: There were significant differences in metabolite profiles in patient plasma between poisoning group and control group. A total of 195 differentially expressed metabolites were screened in plasma of patients in poisoning group, including 119 upregulated and 76 downregulated metabolites. Lipid substances (lipids and lipid-like molecules) accounted for the highest proportion (21.5%). The differential metabolites of poisoning group were related to folate biosynthesis, amino acid metabolism, pyrimidine metabolism, sphingolipid biosynthesis and other metabolic pathways in plasma compared with the control group (all P<0.05). Conclusion: Occupational acute methyl acetate poisoning affects metabolism of the body. The folic acid biosynthesis, amino acid and lipid metabolism and other pathways may be involved in the occurrence and development of poisoning.

Objective:To understand the current situation of postpartum maternal perceived spouse support for breastfeeding, and explore its mediating role in the spouse support for breastfeeding and maternal breastfeeding self-efficacy.Methods:From October 2021 to October 2022, convenience sampling was used to select 602 postpartum women (42 days postpartum) and their spouses who underwent follow-up visits at Obstetric Clinics in four ClassⅢ hospitals in Shanghai as the research subject. A questionnaire survey was conducted using the General Information Questionnaire, Partner Breastfeeding Influence Scale (PBIS) , and Breastfeeding Self-efficacy Scale Short Form (BSES-SF) .Results:The PBIS score of 602 postpartum women was (121.07±25.41) , and the PBIS score of 602 maternal spouses was (134.37±18.94) . Pearson correlation analysis results showed that maternal perceived spouse support has a positive correlation with spouse support ( P<0.01) , and a positive correlation with maternal self-efficacy in breastfeeding ( P<0.01) ; spouse support was positively correlated with maternal self-efficacy in breastfeeding ( P<0.01) . The mediating effect analysis that maternal perceived spouse support played a complete mediating role between spouse support and maternal self-efficacy in breastfeeding. Conclusions:There are both connections and differences between maternal perceived spouse support and spouse support, and the positive promoting effect of spouse support on maternal self-efficacy in breastfeeding can be completely mediated by maternal perception. Medical and nursing staff should pay attention to the assessment of maternal perceived spouse support and guide spouse breastfeeding support behavior based on maternal needs and experiences of spouse support, so as to improve breastfeeding outcomes.

The optimal antidepressant therapies for different patients have been identified mostly by trial and error. Selecting an effective treatment based on the specific biomarkers may be an important step toward personalized treatment of depression. Deep learning is a branch of machine learning, that is capable of processing high-dimensional and complex data.It automatically extracts and learns from large amounts of demographic, clinical symptoms, genomics and neuroimaging data. Researchers have been using deep learning algorithms to develop prediction model of anti-depressant response in order to guide clinicians to make a precise prescription for depression and further advance personalized treatment globally. This article reviews the application of deep learning in predicting the treatment outcomes of depression. Additionally, deep learning based on multi-omics data applied in treatment outcome's prediction is direction with prospects in the future.

Objective:To investigate the relationship between number of daily steps and insomnia in patients with chronic insomnia using "WeChat Sports" program.Methods:A total of 190 patients with insomnia who received treatment in Department of Neurology, Zhejiang University of Traditional Chinese Medicine Affiliated Wenzhou Hospital between October 2017 and October 2019. General data (age, sex, body mass index, history of smoking and alcohol use) and the number of daily steps recorded by "WeChat Sports" program were collected. Patients whose average number of daily steps was greater than 7500 were assigned to the sufficient exercise group ( n = 68), and the remaining patients were assigned to the insufficient exercise group ( n = 122). Patient symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI), The Patient Health Questionnaire-9, and generalized Anxiety Disorder scale-7. Scale evaluation and data collection were performed by two trained investigators. Data were compared between the two groups. The correlation between average number of daily steps and each scale score was analyzed. Results:Total PSQI score in the sufficient exercise group was significantly lower than that in the insufficient exercise group [(12.94 ± 3.14) points vs. (14.93 ± 2.99) points, t = 4.31, P < 0.001]. Scores of subjective sleep quality, sleep latency, habitual sleep efficiency, use of sleep medication, and daytime dysfunction were significantly lower in the sufficient exercise group than those in the insufficient exercise group ( P = 0.011, 0.008, 0.025, 0.039, 0.006). The Patient Health Questionnaire-9 and Generalized Anxiety Disorder Scale-7 scores in the sufficient exercise group were significantly lower than those in the insufficient exercise group ( P = 0.011, P = 0.002). The average number of daily steps was significantly negatively correlated with total PSQI score, Patient Health Questionnaire-9 score, Generalized Anxiety Disorder Scale-7 score, and score of each PSQI component (subjective sleep quality, sleep latency, habitual sleep efficiency, and daytime dysfunction) ( r = -0.29, -0.16, -0.19, -0.24, -0.15, -0.18, -0.23). Conclusion:Insomnia patients with insufficient daily exercise have more serious insomnia and emotional symptoms than those with sufficient daily exercise. Daily average exercise is correlated with the severity of insomnia and emotional symptom.

Anxiety disorders are the most prevalent mental health condition.More and more studies have found that interoceptive sensitivity, such as the sensitivity of the body to a series of physiological activities such as heart rate, respiration, blood pressure and so on, is closely related to the susceptibility to anxiety disorders.So, understanding the role of interoception in the occurrence of anxiety disorders plays an important role in understanding the pathogenesis of the disease and guiding treatment.This article reviewed the pathogenesis of anxiety disorders, the interaction between increased interoceptive sensitivity and abnormal activation of the amygdala, which results in pathological anxiety, the insula also regulates emotional responses by regulating interoception.It is also associated with genes and neurotransmitters, which may be important biomarkers of anxiety disorders.At the same time, interoception is also associated with genes and neurotransmitters, which may also be important biomarkers of anxiety disorders.In terms of treatment, we can use respiratory therapy to regulate respiratory perception, apply rTMS to stimulate the relevant network of interoception, and use electroencephalography to reflect interoception biofeedback and other treatment methods to improve interoception, to alleviate anxiety symptoms.In conclusion, the abnormal sensitivity of interoception plays an important role in the occurrence of anxiety disorders.Currently, there are many therapeutic methods for the treatment of anxiety disorders based on interoception, but the relevant therapeutic mechanism is unclear.Therefore, future research needs to explore the mechanism of interoception in anxiety and explore the mechanism of related treatment.

Early distinction of bipolar disorder (BD) from major depressive disorder (MDD) is difficult since no tools are available to estimate the risk of BD. In this study, we aimed to develop and validate a model of oxidative stress injury for predicting BD. Data were collected from 1252 BD and 1359 MDD patients, including 64 MDD patients identified as converting to BD from 2009 through 2018. 30 variables from a randomly-selected subsample of 1827 (70%) patients were used to develop the model, including age, sex, oxidative stress markers (uric acid, bilirubin, albumin, and prealbumin), sex hormones, cytokines, thyroid and liver function, and glycolipid metabolism. Univariate analyses and the Least Absolute Shrinkage and Selection Operator were applied for data dimension reduction and variable selection. Multivariable logistic regression was used to construct a model for predicting bipolar disorder by oxidative stress biomarkers (BIOS) on a nomogram. Internal validation was assessed in the remaining 784 patients (30%), and independent external validation was done with data from 3797 matched patients from five other hospitals in China. 10 predictors, mainly oxidative stress markers, were shown on the nomogram. The BIOS model showed good discrimination in the training sample, with an AUC of 75.1% (95% CI: 72.9%-77.3%), sensitivity of 0.66, and specificity of 0.73. The discrimination was good both in internal validation (AUC 72.1%, 68.6%-75.6%) and external validation (AUC 65.7%, 63.9%-67.5%). In this study, we developed a nomogram centered on oxidative stress injury, which could help in the individualized prediction of BD. For better real-world practice, a set of measurements, especially on oxidative stress markers, should be emphasized using big data in psychiatry.
Biomarkers/metabolism* ; Bipolar Disorder/metabolism* ; Depressive Disorder, Major/diagnosis* ; Early Diagnosis ; Humans ; Oxidative Stress

Objective·To compare the clinical features between different subtype bipolar patients with first mania episode, and to contribute to early identification of bipolar disorder. Methods·This study was based on the database named as National Bipolar Mania Pathway Survey (BIPAS). From November 2012 to January 2013, bipolar patients from 26 mental health facilities in China were enrolled in current study. The clinical features were compared between mania patients of different subtypes, including hypomania (groupⅠ), mania without psychotic symptoms (groupⅡ), mania with psychotic symptoms (group Ⅲ) and mixed state (group Ⅳ). Results·There was significant difference in the percentage of clinical symptoms between different subtype bipolar patients with first mania episode, especially the mania and anxiety related symptoms. Group Ⅰ, Ⅲ , Ⅳ were further compared with groupⅡ, which was considered as the typical bipolar disorder. The results showed that the mania related symptoms was significantly higher in group Ⅱ, but anxiety related symptoms was significantly higher in group Ⅰ, Ⅲ, Ⅳ. Moreover, Logistic regression analysis revealed that more eloquent or humor and unusually restless could be in favor of the diagnosis of hypomania; younger and mania or hypomania as first episode might be in favor of the diagnosis of mania with psychotic symptoms; older, national minorities and unusually restless could be in favor of the diagnosis of mixed state. Conclusion·The clinical features between different subtype bipolar patients with first mania episode are various, and analysis of the clinical features can contribute to early identification of bipolar disorder.