OBJECTIVE To investigate the causal relationships between gut microbiota， blood metabolites and antidepressant treatment response from a genetic perspective， and to assess the potential mediating role of blood metabolites. METHODS This study utilized a two-sample Mendelian randomization （MR） design. Exposure data were derived from four large-scale gut microbiome genome-wide association study （GWAS） datasets and two blood metabolite GWAS datasets. The inverse variance weighted method was used as the primary method to evaluate the causal relationships between gut microbiota， blood metabolites and antidepressant effects. The robustness， heterogeneity and horizontal pleiotropy of the results were evaluated through various sensitivity analyses. Additionally， the false discovery rate （FDR） was applied to correct type Ⅰ errors caused by multiple hypothesis testing. Finally， MR mediation analysis was conducted to test the potential mediating effect of blood metabolites. RESULTS The s_ Bilophila was negatively associated with the effectiveness of antidepressant treatment （ P ＝8.030×10 －5 ， then P ＝0.033 after FDR correction）， and the f_Bacteroidales was positively associated with the effectiveness of antidepressant treatment （ P ＝3.275×10 －4 ， then P ＝0.034 after FDR correction）. Over a hundred blood metabolites were also screened out as being associated with antidepressant response， but after FDR correction， no significant causal relationship was observed. The P value of the mediation effect proportion of blood metabolites in the “gut microbiota-blood metabolites-antidepressant efficacy” pathway was greater than 0.05. CONCLUSIONS The s_ Bilophila may represent a risk factor for antidepressant effects， whereas the f_Bacteroidales may serve as a protective factor for antidepressant effects. The correlation between blood metabolites and antidepressant efficacy is not strong， and no genetic evidence is found to support that the investigated blood metabolites play a key mediating role between the gut microbiota and antidepressant response.

ObjectiveTo evaluate the efficacy and possible mechanism of Wei's Huoxue Tongluo Formula （韦氏活血通络方，WHTF） in treating atrophic-stage non-arteritic anterior ischemic optic neuropathy （NAION） with qi deficiency and blood stasis. MethodsA total of 82 atrophic-stage NAION patients with qi deficiency and blood stasis were randomly divided into a treatment group and a control group， with 41 cases in each group. The treatment group was given oral administration of WHTF twice a day plus acupoint injection of distilled water 2 ml at Taiyang （EX-HN5） once daily， while the control group received injection of compound anisodine injection 2 ml at Taiyang （EX-HN5） once daily and oral administration of WHTF placebo twice a day. Both groups received treatment for a course of 14 days. The best-corrected visual acuity （BCVA）， optic disc perfusion density （PD）， flux index （FI）， macular superficial PD， vascular density （VD）， and traditional Chinese medicine （TCM） syndrome scores were compared between groups before treatment and on day 7 and day 14 of treatment. Additionally， mean defect （MD） and mean sensitivity （MS） of visual fields were measured before treatment and on day 14， along with safety evaluation. ResultsAfter treatment， both groups showed significant improvement in BCVA， visual field MD and MS， and TCM syndrome scores （P＜0.05 or P＜0.01）. On day 14 of treatment， the TCM syndrome score in the treatment group was significantly lower than that in the control group （P＜0.05）. There was no significant improvement in optic disc PD and FI， and macular superficial PD and VD after treatment in either group （P＞0.05） except that on day 7 the macular superficial foveal PD in the control group was significantly better than that in the treatment group （P＜0.05）. During the treatment period， no serious adverse events occurred in either group. ConclusionWHTF can improve the visual function indicators including visual acuity and visual field， as well as TCM syndrome scores in atrophic-stage NAION patients with qi deficiency and blood stasis. It shows clinical safety， although it does not appear to have a significant effect on optic disc or macular blood flow.

The interaction between m⁶A-methylated RNA and chromatin modification remains largely unknown. We found that targeted inhibition of bromodomain-containing protein 4 (BRD4) by siRNA or its inhibitor (JQ1) significantly decreases mRNA m⁶A levels and suppresses the malignancy of breast cancer (BC) cells via increased expression of demethylase AlkB homolog 5 (ALKBH5). Mechanistically, inhibition of BRD4 increases the mRNA stability of ALKBH5 via enhanced binding between its 3' untranslated regions (3'UTRs) with RNA-binding protein RALY. Further, BRD4 serves as a scaffold for ubiquitin enzymes tripartite motif containing-21 (TRIM21) and ALKBH5, resulting in the ubiquitination and degradation of ALKBH5 protein. JQ1-increased ALKBH5 then demethylates mRNA of extra spindle pole bodies like 1 (ESPL1) and reduces binding between ESPL1 mRNA and m⁶A reader insulin like growth factor 2 mRNA binding protein 3 (IGF2BP3), leading to decay of ESPL1 mRNA. Animal and clinical studies confirm a critical role of BRD4/ALKBH5/ESPL1 pathway in BC progression. Further, our study sheds light on the crosstalks between histone modification and RNA methylation.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Objective:To investigate the alterations in the topological properties of gray matter and white matter dynamic and static functional brain networks in patients with major depressive disorder (MDD) and bipolar depression (BDD) using graph theory analysis, and to evaluate the potential of their combination as biomarkers for differential diagnosis between unipolar and bipolar depression.Methods:From March 2021 to April 2024, inpatients were recruited from the Department of Psychosomatic Medicine, Zhongda Hospital, Southeast University, including 132 patients with MDD, 84 patients with BDD, and 91 healthy controls (HCs). Resting-state structural and functional MRI data were collected, and dynamic and static functional brain networks of gray matter and white matter were constructed. Graph theory analysis was applied to calculate global and nodal network properties, differences in topological attributes among the three groups were compared by One-way analysis of covariance, and Turkey′s post hoc test was used for further pairwise comparison. The network topology attribute indicators with statistically significant inter-group differences were selected using the Least Absolute Shrinkage and Selection Operator regression (LASSO) for feature classification. The diagnostic performance of combined gray and white matter network features for distinguishing MDD from BDD was assessed using receiver operating characteristic (ROC) curves and a random forest model.Results:In the analysis of the static gray matter functional network, both MDD and BDD patients showed abnormal local topological properties. Compared with HCs, the MDD group exhibited abnormal betweenness centrality (BC) in the left inferior frontal gyrus, left precuneus, left ventromedial occipital cortex, right ventromedial occipital cortex, and right anterior thalamus ( t=-3.95-3.62, all P<0.05). The degree centrality (DC) of the left and right anterior thalamus was also abnormal in the MDD group ( t=3.78,4.14, both P<0.001), as was the nodal efficiency (Ne) of the left precuneus and bilateral anterior thalamus ( t=2.37, 3.61, 3.82, all P<0.05). Compared with HCs, the BDD group showed abnormalities in DC and Ne of the left precuneus ( t=-2.76, P=0.014; t=-3.01, P=0.007). In the analysis of the dynamic white matter functional network, both MDD and BDD patients demonstrated abnormal temporal variability of local topological properties. Compared with HCs, the MDD and BDD groups showed reduced BC temporal variability in the left superior corona radiata ( t=-2.39, P=0.047; t=-4.28, P<0.001), and there were significant differences in DC temporal variability in the right posterior limb of the internal capsule and lentiform nucleus ( t=2.65, P=0.021; t=3.49, P=0.001) in MDD group compared with HCs and BBD. The differential diagnosis model combining gray and white matter dynamic and static network topological features achieved an area under the ROC curve of 0.80. Conclusion:Both MDD and BDD exhibit altered topological properties in static gray matter functional networks and dynamic white matter functional networks. The combination of these features may aid in the differential diagnosis of MDD and BDD.

Objective:To explore the risk fall death associated with compound hot extremes.Methods:This study collected data on fall deaths in Guangdong, Hunan, and Zhejiang Provinces from 2013 to 2018 and matched their exposure to meteorological data. Based on a time-stratified case-crossover design, a conditional logistic regression model embedded with a cross-basis function of the distributed lag nonlinear model was applied to estimate the risk of fall to death due to compound hot extremes.Results:Compared with regular days, compound hot extremes significantly increased the risk of death from falls ( OR=1.19, 95% CI: 1.09-1.30), and women ( OR=1.27, 95% CI: 1.11-1.45) and the elderly age 65 and above ( OR=1.24, 95% CI: 1.12-1.39) were more sensitive to compound hot extremes. The maximum duration of compound hot extremes was 7 days, and the maximum intensity was 6.2 ℃, and the duration and intensity were proportional to the risk of death from falls. The risk of death from falls increased by 12% ( OR=1.12, 95% CI: 1.06-1.18) each day, increasing in duration after linearization. The risk of death from falls increased by 16% ( OR=1.16, 95% CI: 1.10-1.22) for each 1 ℃ increase in linearized intensity. Conclusion:Compound hot extremes increase the risk of death cases from falls.

Objective:To investigate the clinical features, pathologic characteristics, treatment and prognosis of primary mediastinal large B-cell lymphoma (PMBCL) in children.Methods:Clinical data including clinical manifestations, treatment, clinical efficacy of 8 cases of childhood PMBCL treated in Beijing Children′s Hospital, Capital Medical University from March 2017 to February 2024 were collected retrospectively, the clinical characteristics and prognosis of them were summarized.Results:Among the 8 children, there were 5 males and 3 females. The age at the time of initial diagnosis was 11.0 (10.3, 13.5) years. The first clinical symptoms were cough (8 cases) and stridor (6 cases). The lesions most often involved the mediastinum (8 cases), lungs (5 cases, hilum more often), pericardium (5 cases), and pleura (4 cases). Extra thoracic invasion was present in 4 cases, 7 cases had huge tumor lesions and 7 cases were phase Ⅲ clinical stage. Except for 1 case who underwent surgical resection of the tumor, the remaining 7 cases were treated with DA-EPOCH+R (dose adjusted-etoposide+prednisone+vincristine+cyclo-phosphamide+doxorubicin+rituximab) chemotherapy. The follow-up time was 25.0 (10.5, 43.3) months, with 7 cases in complete and partial metabolism response, 1 case had disease progression. All 8 cases survived.Conclusions:PMBCL is most common in school-age boys and most of them present with huge mediastinal tumor focus. PMBCL expresses B-cell spectrum antigens and weakly expresses CD30.The application of DA-EPOCH+R is effective in the treatment of PMBCL in children.

Objective To investigate the effect of Lianpu Yin on duodenal microinflammation in rats with functional dyspepsia(FD)by regulating NLRP3 activation.Methods Wistar rats were randomly divided into blank group and model group.FD rats were reconstructed by iodoacetamide method(2%sucrose solution containing 0.1%iodoacetamide),and the model was verified.FD model rats were randomly divided into model group,Lianpu Yin group and Moxapride group by random number expression method.After a period of two weeks of administration,measurements were taken to determine the body mass,three-hour food consumption,as well as the rates of gastric emptying and intestinal propulsion.The pathological structure of duodenal tissue was observed by HE staining.The serum levels of IL-1β and IL-18 were quantified using the enzyme-linked immunosorbent assay(ELISA)method.The expression levels of NLRP3 and Caspase-1 in each group were detected by Western blot.Expression levels of NLRP3 and Caspase-1 proteins were detected by immunofluorescence.Results Compared with the blank group,body weight,food intake at 3 h,gastric emptyand intestinal propulsion rate in model group were significantly decreased(P<0.01),and inflammatory infiltration of duodenum tissue appeared in the model group.Meanwhile,the expressions of NLRP3 and Caspase-1 proteins,as well as the levels of IL-1β and IL-18 in the duodenal tissue of the model group,showed significant increasing(P<0.05).Compared with the model group,rats in the Lianpu Yin and Moxapride groups displayed significant increasing in body weight,gastric emptying rate,and intestinal propulsion rate(P<0.01).Additionally,inflammatory infiltration of duodenum tissue reduced in these groups.Furthermore,NLRP3 and Caspase-1 protein expressions,as well as IL-1β and IL-18 levels,significantly decreased in the Lianpu Yin and Moxapride groups compared to the model group(P<0.05).Conclusion Lianpu Yin can treat FD rats by inhibiting duodenal microinflammation and then restoring gastrointestinal motility,which may be related to the abnormal activation of NLRP3 inflammasome.

OBJECTIVE: The investigation of the correlation between ecological factors and the genetic characteristics or metabolites of plants offers valuable insights into the regional causes of genetic and metabolic diversity. Here, Gastrodia elata, a medicinal plant, is employed as a model to explore the environmental factors that influence its genetic characteristics and metabolic accumulations. METHODS: A total of 23 G. elata populations from six cultispecies and 11 cultivated regions were selected based on the predictions of the global geographic information system. The genetic characteristics of these populations were evaluated using highly polymorphic simple sequence repeat markers. Additionally, the metabolic accumulations and antioxidant capacity of mature tubers were measured employing colorimetry and high performance liquid chromatography (HPLC). Ecological data of each region were obtained from the WorldClim-global climate database and harmonized world soil database. To assess the influence of ecological factors on the genetic characteristics and metabolic profiles of G. elata, Pearson's correlation analysis was conducted. RESULTS: Genetic variation among G. elata populations exceeded that within populations. Genetic diverisity, distance and structure manifested regional and species-specific patterns. Metabolic profiling and antioxidant capacity exhibited regional variations. Notably, the Lueyang region demonstrated that a content range of total polysaccharide, total protein, and phenolic glycosides was 9.34%-189.67% higher than the average. Similarly, in the Hubei region, total phenolic content, p-hydroxybenzyl alcohol content, and antioxidant indicators were observed to be higher than the average levels, by 106.57%, 136.47% and 12.50%-91.14%, respectively. Furthermore, ecological factors had a significant comprehensive impact on G. elata genetic characteristics (r > 0.256 and P < 0.05). Multivariate metabolite accumulations in G. elata were influenced by dominant ecological factors. Temperature notably impacted the accumulation of total protein (|r| > 0.528 and P < 0.05). Moisture, encompassing precipitation and soil content, significantly affected the production of phenolic glycosides (|r| > 0.503 and P < 0.05). CONCLUSION The genetic characteristics of G. elata manifested regional and species-specific patterns, with the metabolic accumulations and antioxidant capacity of mature tubers exhibited regional variations. Specifically, multivariate ecological factors comprehensively influenced genetic characteristics. Temperature and moisture played pivotal roles in regulating the accumulations of proteins and phenolic glycosides, respectively. These findings underscore the significant impact of ecological factors on the shaping of G. elata, highlighting their crucial role in enhancing the quality of Chinese medicinal materials.