Background During pregnancy, negative emotions such as anxiety and depression may induce cortisol disruption. Cortisol can be transmitted to the fetus through the placental barrier, thereby affecting the neurodevelopment of the offspring. Objective To investigate the relationship between placental cortisol, maternal depression during pregnancy, and neurodevelopment of 3-month-old infants. Methods From September 2022 to September 2023, 171 pregnant women ordered routine prenatal checks at the obstetrics outpatient department of a tertiary hospital in Ningxia were selected using a prospective cohort design. After providing informed consent, these women participated in a questionnaire survey that covered general individual characteristics, prenatal depression, and sleep quality. At birth, placental samples were collected to measure cortisol levels using ELISA kits. Follow-up assessments on the neurodevelopmental of 3-month-old infants were conducted using the Warning Sign for Children Mental and Behavioral Development. LASSO regression analysis was conducted to screen the influencing factors of depression during pregnancy. Huber regression analysis was then applied to assess potential linear relationship between depression during pregnancy and placental cortisol levels. Log-binomial regression was used to analyze the linear relationships between cortisol levels and neurodevelopmental delay in 3-month-old infants. Additionally, a mediation effect model was fitted using R 4.3.3 to assess possible mediating role of cortisol in the association between prenatal depression and neurodevelopmental delay in 3-month-old infants. Results The positive rate of prenatal depression was 33.33%. Nine factors affecting prenatal depression were identified by LASSO regression, including rural residence, high school education or above, extroverted personality characteristics, moderate early pregnancy reactions, baby sex expectation, prenatal anxiety, family dysfunction, exposure to stressful life events during pregnancy, and moderate prenatal sleep quality. The Huber regression model showed a positive linear correlation between prenatal depression and placental cortisol (P<0.05). With or without controlling confounding factors, the results of log-binomial regression modeling showed that cortisol levels were associated with a reduced risk of neurodevelopmental delay in 3-month-old infants (crude model: RR=0.988, 95%CI: 0.9768, 0.9996, P＜0.05; adjusted model: RR=0.988, 95%CI: 0.9764, 0.9993, P＜0.05). A mediating effect of placental cortisol between prenatal depression and the risk of neurodevelopmental delay in 3-month-old offspring was found statistically significant (P=0.045), accounting for 67.0% of the total effect. Conclusion Prenatal depression is associated with elevated placental cortisol levels, and higher cortisol levels are found to be related to a lower risk of neurodevelopmental delay in infants. Placental cortisol mediates the relationship between prenatal depression and infant neurodevelopment.

AIM: To compare the efficacy of intravitreal injection of ranibizumab(IVR)and intravitreal injection of conbercept(IVC)in children with retinopathy of prematurity(ROP).METHODS: Retrospective study. A total of 1 100 eyes with ROP treated with intravitreal anti-VEGF at our hospital from January 2015 to June 2023 were included. According to the different therapeutic drugs, the children were divided into two groups: IVR group and IVC group. According to the degree of ROP, the patients were divided into three groups: aggressive ROP(A-ROP), Zone Ⅰ type 1 ROP and Zone Ⅱ type 1 ROP. The reactivation and retreatment between the two groups were compared after propensity score matching(PSM)analysis, and they were followed-up for at least 3 mo after surgery.RESULTS: In Zone Ⅱ type 1 ROP, there was a statistically significant difference in the rates of reactivation and retreatment between the IVR and IVC groups(P<0.05); however, in A-ROP and Zone I type 1 ROP, there were no statistically significant differences in the rates of reactivation and retreatment between the two groups(P>0.05). The risk of reactivation and retreatment of Zone I type 1 ROP was higher than the Zone II type 1 ROP. Furthermore, the use of drugs and corrected gestational age of first treatment were influencing factors of lesion recurrence and retreatment.CONCLUSION: There is a significant difference in the initial cure effect between the two drugs in Zone II type 1 ROP, with the reactivation and retreatment rates of the IVC group being much lower than those of the IVR group.

ObjectiveTo predict the potential nephrotoxic components in traditional Chinese medicine health food products based on the Traditional Chinese Medicine Toxicity Alert System and Basic Toxicology Database （TCMTAS-BTD）， screen and validate the predicted components by cell and animal experiments， and decipher the mechanism of nephrotoxicity by network pharmacology. MethodTCMTAS-BTD was utilized to predict the toxicity of 3 540 compounds found in the catalogue of traditional Chinese health food ingredients. In the cell experiment， the top 5 compounds with high toxicity probability were screened by measurement of cell proliferation and viability （CCK-8） and high-content screening. ICR mice were randomized into a control group， a low-dose （2.91 mg·kg^-1·d^-1） ecliptasaponin A， and a high-dose （29.1 mg·kg^-1·d^-1） ecliptasaponin A group， with 10 mice in each group， and treated continuously for 28 days. During the experiment， the general conditions of the rats were observed， and the kidney index was calculated. The levels of serum creatinine （SCr） and blood urea nitrogen （BUN） in the serum as well as the content of malondialdehyde （MDA） and superoxide dismutase （SOD） in the renal tissue were measured. The pathological changes of the kidney were observed. Network pharmacology was employed to predict the potential pathways of nephrotoxicity. Finally， the pathway-associated proteins were validated by Western blot. ResultThe top 5 compounds with high probability of nephrotoxicity were ecliptasaponin A， chrysophanol， rutaecarpine， tanshinoneⅠ， and geniposidic acid. In the cell experiment， CCK-8 results showed that 10 μmol·L^-1 ecliptasaponin A， 60 μmol·L^-1 chrysophanol， 40 μmol·L^-1 rutaecarpine， and 20 μmol·L^-1 tanshinone I altered the viability of HK-2 cells. High-content analysis showed that 10 μmol·L^-1 ecliptasaponin A， chrysophanol， rutaecarpine， and tanshinone Ⅰ reduced the cell number （P<0.05， P<0.01）. The animal experiment showed that the mice in the high-dose ecliptasaponin A group presented slow movement， slow weight gain （P<0.01）， increased kidney index （P<0.01）， elevated SCr， BUN， and MDA levels （P<0.01）， and lowered SOD level （P<0.01）. Mild histopathological changes were observed in the high-dose ecliptasaponin A group. The network pharmacology results showed that the key targets of nephrotoxicity induced by ecliptasaponin A were mainly enriched in the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， prostatic cancer and lipid and atherosclerosis pathways. Western blot results verified that high dose of ecliptasaponin A raised the phosphorylation levels of PI3K and Akt （P<0.01）. ConclusionOn day 28 of administration， 29.1 mg·kg^-1 ecliptasaponin A was found to induce renal injury in rats. The mechanism may be related with the PI3K/Akt signaling pathway， which implied that excessive and prolonged usage of Ecliptae Herba may increase the incidence of adverse drug reactions.

Objective:Abnormal immune system activation and inflammation are crucial in causing Parkinson's disease.However,we still don't fully understand how certain immune-related genes contribute to the disease's development and progression.This study aims to screen key immune-related gene in Parkinson's disease based on weighted gene co-expression network analysis(WGCNA)and machine learning. Methods:This study downloaded the gene chip data from the Gene Expression Omnibus(GEO)database,and used WGCNA to screen out important gene modules related to Parkinson's disease.Genes from important modules were exported and a Venn diagram of important Parkinson's disease-related genes and immune-related genes was drawn to screen out immune related genes of Parkinson's disease.Gene ontology(GO)analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)were used to analyze the the functions of immune-related genes and signaling pathways involved.Immune cell infiltration analysis was performed using the CIBERSORT package of R language.Using bioinformatics method and 3 machine learning methods[least absolute shrinkage and selection operator(LASSO)regression,random forest(RF),and support vector machine(SVM)],the immune-related genes of Parkinson's disease were further screened.A Venn diagram of differentially expressed genes screened using the 4 methods was drawn with the intersection gene being hub nodes(hub)gene.The downstream proteins of the Parkinson's disease hub gene was identified through the STRING database and a protein-protein interaction network diagram was drawn. Results:A total of 218 immune genes related to Parkinson's disease were identified,including 45 upregulated genes and 50 downregulated genes.Enrichment analysis showed that the 218 genes were mainly enriched in immune system response to foreign substances and viral infection pathways.The results of immune infiltration analysis showed that the infiltration percentages of CD4+ T cells,NK cells,CD8+ T cells,and B cells were higher in the samples of Parkinson's disease patients,while resting NK cells and resting CD4+ T cells were significantly infiltrated in the samples of Parkinson's disease patients.ANK1 was screened out as the hub gene.The analysis of the protein-protein interaction network showed that the ANK1 translated and expressed 11 proteins which mainly participated in functions such as signal transduction,iron homeostasis regulation,and immune system activation. Conclusion:This study identifies the Parkinson's disease immune-related key gene ANK1 via WGCNA and machine learning methods,suggesting its potential as a candidate therapeutic target for Parkinson's disease.

Objective:To screen the main characteristic variables affecting the incidence of cardiovascular and cerebrovascular diseases,and to construct the Bayesian network model of cardiovascular and cerebrovascular disease incidence risk based on the top 10 characteristic variables,and to provide the reference for predicting the risk of cardiovascular and cerebrovascular disease incidence.Methods:From the UK Biobank Database,315 896 participants and related variables were included.The feature selection was performed by categorical boosting(CatBoost)algorithm,and the participants were randomly divided into training set and test set in the ratio of 7∶3.A Bayesian network model was constructed based on the max-min hill-climbing(MMHC)algorithm.Results:The prevalence of cardiovascular and cerebrovascular diseases in this study was 28.8％.The top 10 variables selected by the CatBoost algorithm were age,body mass index(BMI),low-density lipoprotein cholesterol(LDL-C),total cholesterol(TC),the triglyceride-glucose(TyG)index,family history,apolipoprotein A/B ratio,high-density lipoprotein cholesterol(HDL-C),smoking status,and gender.The area under the receiver operating characteristic(ROC)curve(AUC)for the CatBoost training set model was 0.770,and the model accuracy was 0.764;the AUC of validation set model was 0.759 and the model accuracy was 0.763.The clinical efficacy analysis results showed that the threshold range for the training set was 0.06-0.85 and the threshold range for the validation set was 0.09-0.81.The Bayesian network model analysis results indicated that age,gender,smoking status,family history,BMI,and apolipoprotein A/B ratio were directly related to the incidence of cardiovascular and cerebrovascular diseases and they were the significant risk factors.TyG index,HDL-C,LDL-C,and TC indirectly affect the risk of cardiovascular and cerebrovascular diseases through their impact on BMI and apolipoprotein A/B ratio.Conclusion:Controlling BMI,apolipoprotein A/B ratio,and smoking behavior can reduce the incidence risk of cardiovascular and cerebrovascular diseases.The Bayesian network model can be used to predict the risk of cardiovascular and cerebrovascular disease incidence.

Objective:To discuss the clinical efficacy of recombinant human growth hormone(rhGH)in the treatment of the pediatric patients with growth hormone deficiency(GHD)and idiopathic short stature(ISS),and to clarify its clinical application value in the pediatric patients with short stature of different etiologies.Methods:The clinical data of 132 children with short stature who treated with rhGH from January 2018 to January 2023 were collected.They were divided into GHD group(n=70)and ISS group(n=62)based on different etiologies.The bone age,target height(TH),body mass index(BMI),height standard deviation score(HtSDS),changes in height standard deviation scores(ΔHtSDS)before treatment and 6 months after treatment,and growth velocity(GV)of the pediatric patients were calculated.Propensity score matching(PSM)and inverse probability of treatment weighting(IPTW)were used to balance the confounding factors between the pediatric patients in two groups and the efficacy and safety of the pediatric patients in two groups were evaluated.Results:There were significant differences in whether children were full-term,bone age,bone age maturity,and TH of the pediatric patients between two groups(P<0.05).Compared with before treatment,the height and HtSDS of the pediatric patients in both GHD and ISS groups were significantly increased after treated for 6 months(P<0.05).Before matched by PSM,there were significant differences in full-term,bone age,bone age maturity,and TH of the pediatric patients between two groups(P<0.05).After matched by PSM,there were no significant differences in gender,region,term birth status,mode of delivery,feeding method,age,bone age,height,BMI,TH,and pretreatment HtSDS of the pediatric patients between two groups(P>0.05);the standardized mean difference(SMD)differences of covariates except for region were<0.2.After weighted by IPTW,there were no significant differences in gender,region,term birth status,mode of delivery,feeding method,age,bone age,height,BMI,TH,and pretreatment HtSDS of the pediatric patients between two groups(P>0.05);all SMD of covariates except for term birth status were<0.2.Before balancing covariates,after meatched by PSM matching,and after weighted by IPTW weighting compared with GHD group,the GV and ΔHtSDS of the pediatric patients in ISS group were slightly increased,but the difference was not significant(P>0.05).In terms of adverse reactions,2 cases(2.68%)of fasting hyperglycemia and 7 cases(10.00%)of hypothyroidism occurred in GHD group;3 cases(4.84%)of fasting hyperglycemia and 2 cases(3.23%)of hypothyroidism occurred in ISS group.Conclusion:rhGH can promote the height increase in the patients with GHD and ISS,and there is no significant difference in the height-increasing efficacy between GHD and ISS children.The incidence of adverse reactions is relatively low during treatment,indicating good overall safety.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective To investigate the gray matter volume(GMV)changes and molecular basis underlying antipsychotic-induced weight gain(AIWG).Methods One hundred twenty-nine first-episode schizophrenia patients from October 2019 to December 2021 were enrolled in this study.Patients with≥7%weight gain(weight gain,WG)and patients with<3%weight changes(weight stable,WS)were studied.All patients underwent T1-weighted MRI scanning at baseline and after 8 week treatment.Transcriptome-neuroimaging correlations were used to investigate brain gene profiles from the Allen Human Brain Atlas and GMV changes induced by AIWG.Results Thirty-three patients with WG and 27 with WS completed the GMV measures.Compared with baseline,the WG group showed reduced GMV in right hippocampus,left basal ganglia,and right inferior parietal lobule,etc.and increased GMV in bilateral thalamus(P<0.05).The WS group showed reduced GMV in bilateral orbital gyrus,bilateral inferior frontal gyrus and bilateral hippocampus(P<0.05).These GMV changes in WG group were spatially correlated with expression levels of 354 genes,which were exclusively enriched in Cushing syndrome,neuroinflammation and glutamatergic signaling,and Pnoc+.Conclusion The study has demonstrated increased GMV in thalamus in schizophrenia patients with AIWG which may be associated with Cushing syndrome and Pnoc+.These findings may provide important insights into the molecular mechanisms of AIWG.

Diabetic retinopathy （DR） is one of the most common chronic microvascular complications of diabetes mellitus. It has a high rate of blindness， and the age of onset is gradually getting younger， which seriously affects the physical and mental health and quality of life of patients. The disease is retinal damage induced by diabetes mellitus， which is a kind of fundus disease with the main manifestations of fundus hemorrhage， hard exudation， microhemangioma， cotton-wool spots， neovascularization， etc. In traditional Chinese medicine （TCM）， it is classified into the category of "diabetic cataracts" and other diseases. At present， there is no effective method to prevent the progress of the disease in modern medicine， so it is particularly important to choose a reasonable and effective intervention to prevent and treat DR. Studies have confirmed that TCM has unique advantages in the treatment of DR. It can use its advantages of multiple bioactive components， multiple targets， and multiple pathways to intervene in the development process of DR from various aspects. By searching for the relevant literature on the progress of the intervention of DR with TCM monomers and compounds， this paper mainly reviews the relevant research results of the treatment of DR with multiple signaling pathways such as phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）， nuclear factor kappa-B（NF-κB）， p38 mitogen-activated protein kinase （p38 MAPK）， nuclear factor erythroid 2-related factor （Nrf2）/hemeoxygenase-1 （HO-1）， Hippo， advanced glycation end products （AGEs）/receptor for advanced glycation end products （RAGE）， and Akt/glycogen synthase kinase-3β （GSK-3β）， so as to provide more ideas and directions for the clinical prevention and treatment of DR.

Objective: To investigate the influencing factors of depressive symptoms among rural elderly patients with chronic diseases in China, so as to provide insights into depression prevention and control among the rural elderly patients with chronic diseases. Methods: The basic demographics, health status, and lifestyle of rural residents at ages of 65 years and older who had at least one chronic disease were retrieved from The Chinese Longitudinal Healthy Longevity Survey (CLHLS) database in 2018, and participants' depressive symptoms were assessed with The Center for Epidemiological Studies Depression-10 (CES-D-10) scale. Factors affecting the depressive symptoms were identified with a multivariable logistic regression model. Results: Totally 5 146 rural elderly patients with chronic diseases were enrolled, including 2 373 men (46.11%) and 2 773 women (53.89%). The prevalence of depressive symptoms was 27.13%. Multivariable logistic regression analysis identified having two and more children (OR=0.614, 95%CI: 0.387-0.975), living alone (OR=1.450, 95%CI: 1.192-1.764), life satisfaction (general, OR=1.933, 95%CI: 1.651-2.264; low, OR=5.366, 95%CI: 3.488-8.254), self-assessed health status (general, OR=2.697, 95%CI: 2.284-3.185; poor, OR=5.338, 95%CI: 4.262-6.685), disability in instrumental activities of daily living (OR=1.592, 95%CI: 1.328-1.908), sleep duration (normal, OR=0.502, 95%CI: 0.429-0.586; too long, OR=0.494, 95%CI: 0.405-0.603), exercise (OR=0.721, 95%CI: 0.607-0.856), watching TV (OR=0.787, 95%CI: 0.664-0.933), and gardening activities (OR=0.781, 95%CI: 0.626-0.975) as factors affecting depressive symptoms among rural elderly patients with chronic diseases. Conclusions The prevalence of depressive symptoms was 27.13% among rural elderly patients with chronic diseases. Number of children, living style, life satisfaction, health status, sleep duration, exercise, watching TV, and gardening activities are associated with the development of depressive symptoms among rural elderly patients with chronic diseases.