Nervous system diseases， also known as neuropathies， encompass a wide range of conditions， primarily including Alzheimer's disease （AD）， Parkinson's disease （PD）， Huntington's disease， and other neurodegenerative disorders， as well as depression， subarachnoid hemorrhage， cerebral ischemia-reperfusion injury， vascular dementia， and other neurological diseases. These diseases pose serious threats to the health and lives of patients， bringing heavy burdens to society and families. The pathogenesis of nervous system diseases is highly complex， involving mechanisms such as neuroinflammation， oxidative stress， apoptosis， endoplasmic reticulum stress， mitochondrial dysfunction， brain-derived neurotrophic factor deficiency， reduced cholinergic activity， axonal injury， and demyelination. In recent years， the incidence and mortality of nervous system diseases have been rising annually. Currently， western medicine primarily focuses on symptomatic treatment， often accompanied by many adverse reactions， including lethargy， excessive sedation， dizziness， headaches， tachycardia， liver function damage， metabolic disorders， and incomplete recovery after surgery. As a traditional Chinese medicine， Salviae Miltiorrhizae Radix et Rhizoma has effects such as promoting blood circulation， removing blood stasis， cooling the blood， clearing the heart， nourishing the blood， and calming the nerves. It can play a role in the treatment and protection against nervous system diseases through multiple targets， pathways， and mechanisms. Studies have found that the water-soluble phenolic acids and fat-soluble diterpenoid quinones in Salviae Miltiorrhizae Radix et Rhizoma are the main active ingredients for the treatment of nervous system diseases. This paper summarized the effects of the active components and compounds of Salviae Miltiorrhizae Radix et Rhizoma on nervous system diseases over the past ten years， aiming to provide a theoretical basis and research ideas for the development and application of active components and compounds of Salviae Miltiorrhizae Radix et Rhizoma in nervous system diseases.

The pathogenesis of central nervous system （CNS） diseases is complex， seriously affecting patients' physical and mental health and imposing a heavy economic burden on society. Western medicine shows limited efficacy in treating CNS diseases and is often associated with numerous adverse reactions and contraindications. Chinese medicine Lycii Fructus exhibits multiple pharmacological effects， including immune regulation， enhancement of hematopoietic function， liver protection， anti-tumor， hypoglycemic， antipyretic， anti-aging， and anti-radiation activities， and has gradually been applied in clinical treatment. In recent years， the active components of Lycii Fructus have attracted considerable attention for their potential therapeutic effects on CNS diseases. Studies indicate that these active components may exert neuroprotective effects through anti-inflammatory and antioxidant actions， inhibition of neuronal apoptosis， and repair of neuronal damage， involving multiple targets and pathways. This review summarizes the therapeutic effects of Lycii Fructus active components in CNS diseases over the past decade by searching PubMed， CNKI， Wanfang Data， and other electronic databases， aiming to provide new treatment strategies and insights for future research on Lycii Fructus in CNS disorders.

Objective:Exploring gene-age interactions associated with breast cancer prognosis based on epigenomic data.Methods:Differential expression analysis of DNA methylation was conducted using multiple independent epigenomic datasets of breast cancer from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The false discovery rate (FDR) method was used for multiple corrections, retaining differentially methylated sites with q-FDR≤0.05. A three-stage analytic strategy was implemented, using a multivariable Cox proportional hazards regression model to examine gene-age interactions. In the discovery phase, signals with q-FDR ≤ 0.05 were screened out using TCGA-BRCA database. In validation phaseⅠ, the interaction was validated using GSE72245 data, with criteria of P≤0.05 and consistent effect direction. In validation phaseⅡ, the signals were further validated using GSE37754 and GSE75067 data. A prognostic prediction model was constructed by incorporating clinical indicators and interaction signals. Results:The three-stage analytic strategy identified a methylation site (cg16126280 EBF1), which interacted with age to jointly affect the overall survival time of patients (interaction HR= 1.001 1,95% CI:1.000 7-1.001 5, P<0.001). Stratified analysis by age showed that the effect of hypermethylation of cg16126280 EBF1 was completely opposite in younger patients ( HR=0.550 5, 95% CI: 0.383 8-0.789 6, P=0.001) and older patients ( HR=2.166 5, 95% CI: 1.285 2-3.652 2, P=0.004). Conclusions:The DNA methylation site cg16126280 EBF1 exhibits an interaction with age, jointly influencing the prognosis of breast cancer in a complex association pattern. This finding contributes new population-based evidence for the development of age-specific targeted drugs.

Extremely unbalanced data here refers to datasets where the values of independent or dependent variables exhibit severe unbalance in proportions, such as extremely unbalanced case-control ratio, very low incidence rate of disease, heavily censored time-to-event data, and low-frequency or rare variants. In such scenarios, the statistic derived from hypothesis test using the classical statistical method, e.g., logistic regression model and Cox proportional hazard regression model, might deviate from theoretical asymptotic distribution, resulting in inflation or deflation of type I error. With the increased availability and exploration of resources from large-scale population cohorts in genome-wide association study (GWAS), there is a growing demand for effective and accurate statistical approaches to handle extremely unbalanced data in independent and non-independent samples. Our study introduces classical statistical methods in genetic statistics firstly, then, summarizes the failure of classical statistical methods in dealing with extremely unbalanced data through simulation experiments to draw researchers' attention to the extremely unbalanced data in GWAS.

Objective:To evaluate the effect of trehalose on oxygen-glucose deprivation and restoration (OGD/R) injury in H9C2 cells and the role of solute carrier family 7 member 11- (SLC7A11)-glutathione peroxidase 4 (GPX4) signaling pathway.Methods:Well-grown H9C2 cells were divided into 4 groups ( n=24 each) by the random number table method: control group (group C), OGD/R group (group O), OGD/R+ trehalose group (group OT) and OGD/R+ trehalose+ erastin group (group OTE). The cells were normally cultured in group C. In O, OT and OTE groups, the DMEM medium was replaced with EBSS medium, the cells were exposed to 5% CO 2-95% N 2 in an incubator at 37 ℃ for 6 h, and then the medium was replaced with DMEM medium supplemented with 6% fetal bovine serum to restore oxygen and glucose supply for 24 h. In group OT, trehalose at a final concentration of 50 mmol/L was added during restoration of oxygen and glucose supply. In group OTE, the SLC7A11 inhibitor erastin at a final concentration of 10 μmol/L was added at 8 h before oxygen-glucose deprivation, and trehalose at a final concentration of 50 mmol/L was added during restoration of oxygen and glucose supply. The cell viability, lactic dehydrogenase (LDH) activity, contents of glutathione (GSH), malondialdehyde (MDA) and iron, and reactive oxygen species (ROS) levels were measured at 24 h of restoration of oxygen and glucose supply. The expression of SLC7A11, GPX4, long-chain fatty acyl coenzyme A synthetase 4 (ACSL4), and ferritin heavy chain 1 (FTH1) was detected by Western blot. The structure of the mitochondrial morphology was observed with a transmission electron microscope. Results:Compared with group C, the cell viability and GSH content were significantly decreased, the LDH activity, contents of MDA and iron, and ROS level were increased, the expression of SLC7A11, GPX4 and FTH1 was down-regulated, and the expression of ACSL4 was up-regulated in group O ( P<0.05). Compared with group O, the cell viability and GSH content were significantly increased, the LDH activity, contents of MDA and iron, and ROS level were decreased, the expression of SLC7A11, GPX4 and FTH1 was up-regulated, and the expression of ACSL4 was down-regulated in group OT ( P<0.05). Compared with group OT, the cell viability and GSH content were significantly decreased, the LDH activity, contents of MDA and iron, and ROS levels were increased, the expression of SLC7A11, GPX4 and FTH1 was down-regulated, and the expression of ACSL4 was up-regulated in group OTE ( P<0.05). Conclusions:Trehalose can inhibit ferroptosis by activating the SLC7A11-GPX4 signaling pathway, thereby attenuating OGD/R injury in H9C2 cells.

Objective: This project aimed to explore the effectiveness of estimating individual treatment effect on real data, among the heterogeneous population, with Causal Forests (CF) method, to find out the characteristics of heterogeneous population. Methods: We designed and conducted four computer simulation schemes to verify the effect of estimating on individual treatment, using the CF under four different environments of the treatment effects. Real data was then analyzed for the catheterization on right heart. Results: Results from the simulation process showed that the values on individual treatment effect that were estimated by causal forests were consistent with the population effect as well as in line with the expected distribution under the setting of four different effect values. Results of real data analysis showed that values of individual treatment effect among most patients appeared positive, so the use of RHC could cause an increase of the '180-day mortality rate’ in the sampled population. Patients with lower predicted probability of 2-mo survival and albumin were more likely to have a lower risk of death after using the RHC. Conclusion CF method could be effectively used to estimate the individual treatment effect and helping the individuals to make decision on the receipt of treatment.

Mendelian randomization (MR) approach follows the Mendel′s law of inheritance, which is called "Parental alleles randomly assigned to the offspring", and refers to use genetic variants as an instrumental variable to develop causal inference between the exposure factor and the outcome from observational study. In recent years, with the rapid development of genome-wide association study (GWAS) and various omics data,the disclosure of a large number of aggregated data provides an opportunity for the wide application of MR approach in causal inference. We introduce three methods widely used in MR and then apply them to explore causal relationship between blood metabolites and depressive. The advantages and disadvantages of three methods in causal inference are compared in order to provide reference for the application of MR in observational studies.

Mendelian randomization (MR) approach follows the Mendel′s law of inheritance, which is called"Parental alleles randomly assigned to the offspring",and refers to use genetic variants as an instrumental variable to develop causal inference between the exposure factor and the outcome from observational study. In recent years,with the rapid development of genome?wide association study (GWAS) and various omics data,the disclosure of a large number of aggregated data provides an opportunity for the wide application of MR approach in causal inference. We introduce three methods widely used in MR and then apply them to explore causal relationship between blood metabolites and depressive. The advantages and disadvantages of three methods in causal inference are compared in order to provide reference for the application of MR in observational studies.

Mendelian randomization (MR) approach follows the Mendel′s law of inheritance, which is called"Parental alleles randomly assigned to the offspring",and refers to use genetic variants as an instrumental variable to develop causal inference between the exposure factor and the outcome from observational study. In recent years,with the rapid development of genome?wide association study (GWAS) and various omics data,the disclosure of a large number of aggregated data provides an opportunity for the wide application of MR approach in causal inference. We introduce three methods widely used in MR and then apply them to explore causal relationship between blood metabolites and depressive. The advantages and disadvantages of three methods in causal inference are compared in order to provide reference for the application of MR in observational studies.

Objective To observe the effects of ventilation with low tidal volume and positive end-expiratory pressure (PEEP)in different periods on the postoperative pulmonary function and short-term prognosis in aged patients undergoing abdominal surgery.Methods Sixty aged patients undergoing selective open abdominal surgery scheduled for general anesthesia,21 males and 39 fe-males,were randomized into 3 groups (n =20).Patients in group A received PEEP 1 h after the be-ginning of surgery;patients in group B received PEEP 1 h before tracheal extubation;patients in group C received PEEP intraoperatively.The secretion score in preoperative,postoperative 24 h and 72 h respectively,and the arterial blood gas analysis indexes (PaCO 2 ,PaO 2 ,A-aDO 2 ,PaO 2/FiO 2 calculation)in postoperative 1 h and 24 h were recorded.Results Compared with preoperative,in postoperative 1 h,PaCO 2 increased obviously in all groups,PaO 2 decreased in group B,A-aDO 2 in-creased in group A (P <0.05);in postoperative 24 h,PaCO 2 was significantly increased in group B and C,PaO 2/FiO 2 decreased in group B (P <0.05).Compared with postoperative 1 h,in postopera-tive 24 h,PaCO 2 and A-aDO 2 decreased obviously in group A (P <0.05).There were no differences in postoperative secretions score in between the 3 groups.Conclusion Low tidal volume combined short-range PEEP in different periods of surgery may improve postoperative pulmonary oxygenation. But they had no obvious help with postoperative pulmonary complications.