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.

Objective:To investigate the role of Fem-1 homolog C(FEM1C)in breast cancer progression and elucidate its underlying regulat-ory mechanism.Methods:The expression of FEM1C in breast cancer tissues and cells were detected with qPCR.The binding of FEM1C to ELAVL1 protein was predicted with an online database and validated by CoIP analysis;and the binding of ELAVL1 protein to OPA1 mRNA was predicted by using the starBase database and validated by RIP analysis.Next,breast cancer cell MDA-MB-231 was transfected with FEM1C shRNA(sh-FEM1C)or overexpression vector(FEM1C)or/and ELAVL1 overexpression vector(ELAVL1)or/and OPA1 overexpression vector(OPA1),or treated with 100 μM Mdivi-1,an DRP1 inhibitor,or MYLS22,an OPA1 inhibitor.Finally,nude mice were injected with sh-FEM1C lentiviral vectors to construct xenograft tumor models,and tumor growth was monitored.Results:The expression of FEM1C was upregu-lated in breast cancer tissues(P<0.01).Silencing FEM1C inhibited the proliferation,induced apoptosis,promoted the expression of auto-phagy protein LC3 Ⅱ/Ⅰ,inhibited p62 protein expression,upregulated the protein level of PINK1 in mitochondrial,promoted the expres-sion of mitochondrial fission proteins DRP1 and MIEF2,and inhibited the expression of fusion proteins OPA1 and MFN1 in MDA-MB-231 cells(P<0.01).Mdivi-1 treatment inhibited DRP1 expression(P<0.01),but had no effect on cell viability(P>0.05);MYLS22 treatment inhibited OPA1 expression and counteracted the effect of FEM1C overexpression on MDA-MB-231 cells(P<0.01).Mechanistic studies revealed that FEM1C binds to ELAVL1 protein and promotes its expression(P<0.01);ELAVL1 protein stabilizes OPA1 mRNA by binding to it and upregu-lates OPA1 protein levels(P<0.01).Overexpression of OPA1 reversed the effect of FEM1C silencing on MDA-MB-231 cells(P<0.01).In vivo results showed that knockdown of FEM1C inhibited tumor growth in vivo(P<0.01).Conclusions:FEM1C promotes the stability of OPA1 mRNA by upregulation of ELAVL1 protein to promote mitochondrial fusion and inhibit autophagy,thereby promoting breast cancer progression.

Objective To explore the environmental factors affecting the growth of Lonicera japonica Thunb.;To predict the suitable areas of L.japonica in China under current and future climate conditions.Methods Totally 2 553 pieces of L.japonica distribution information and 19 environmental factors were collected.MaxEnt model was used to screen the main environmental factors affecting the growth of L.japonica.Combined with ArcGIS 10.8 software,this article simulated the suitable area of L.japonica in our country under current and future climate conditions.Results The main environmental factors affecting the distribution of L.japonica were the lowest temperature in the coldest month,the average daily temperature range,the precipitation in the wettest quarter and the annual temperature range.Under the current climate conditions,the suitable area of L.japonica in China was about 318.29×104 km2,which was mainly distributed in central and southern China.Under the future climate scenario,the total suitable area would decrease.Conclusion This study predicted distribution of L.japonica resources and ecological suitability areas can provide theoretical basis for its wild cultivation,rational cultivation,and resource protection.

Objective To compare clinical efficacy of different regimens in treatment of pruritus in maintenance hemodialysis(MHD)patients.Methods A total of 50 patients with MHD admitted to the Sixth People's Hospital of Jiujiang City from August 1,2022 to April 30,2024 as subjects and were divided into two groups according to random number table method.Control group(n=25)was treated with sodium thiosulfate.On this basis,gabapentin combination therapy was added in observation group(n=25).Effects of two groups were compared after 8 weeks of treatment.Results Total clinical effective rate of observation group was significantly higher than that of control group(P＜0.05).After 8 weeks of treatment,scores and total scores of all dimensions of quality of life in two groups were higher than before treatment,and observation group was higher than control group(P＜0.05).Conclusion Sodium thiosulfate combined with gabapentin in treatment of MHD patients with pruritus can not only relieve pruritus symptoms,improve sleep quality,but also have good safety.

Objective To investigate the functional brain characteristics of the frontal and bilateral tempo-ral regions during a verbal fluency task(VFT)in patients with stable schizophrenia using functional near-infrared spectroscopy(fNIRS),and to evaluate its potential clinical application in assisting the diagnosis of schizophrenia.Methods A total of 45 stable schizophrenia patients and 30 healthy controls were enrolled in the study.fNIRS was employed to assess brain activation patterns in the frontal and bilateral temporal lobes during the VFT.The integral values,centroid values,and slopes of the frontal and bilateral temporal lobes were measured.Differences in demographic characteristics,word count,and fNIRS-derived parameters between the two groups were analyzed.A logistic regression model and receiver operating characteristic(ROC)curve analysis were conducted to evaluate the diagnostic performance of the fNIRS measures in distinguishing schizophrenia patients from healthy controls.Results During VFT,the patient group demonstrated reduced word count and decreased integral values and slopes in the frontal lobe,as well as lower integral values in the bilateral temporal lobes,compared to the healthy control group(all P＜0.05).However,no statistically significant differences were observed between the two groups in terms of frontal lobe centroid value,temporal lobe centroid value,or bilateral temporal lobe slope(all P＞0.05).The logistic regression model indicated that the temporal lobe integral value was significantly associated with the diagnosis of schizophrenia(OR=0.979,P=0.005).ROC curve analysis revealed that the frontal lobe integral value,frontal lobe slope,and temporal lobe integral value exhibited acceptable discriminatory power for disease classification,with area under the curve(AUC)values of 0.681,0.644,and 0.779,respectively(all P＜0.05).Conclusion In stable schizophrenia,the integral values of the frontal and temporal lobes,as well as the slope of the frontal lobe,decrease during the VFT,suggesting potential clinical utility in differentiating individuals with schizophrenia from healthy controls.

Objective:To explore the causal association between insulin-like growth factor-1(IGF-1)and colorectal cancer(CRC)based on two sample Mendelian randomization(MR)analysis.Methods:A bidirectional two sample MR analysis was conducted based on publicly aggregated data from the IEU OpenGWAS project.The inverse variance weighted(IVW)method was used as the main analysis model to assess the causal relationship between IGF-1 and CRC.Additional analyses were performed using weighted median(WM),MR-Egger regression,weighted mode estimator(WME),and simple mode(SM)methods.Sensitivity analysis was performed to assess the robustness of the results.Results:A total of 386 single nucleotide polymorphisms(SNPs)were selected as instrumental variables(IVs)with IGF-1 as the exposure factor.The MR analysis results revealed a positive causal association between IGF-1 and the risk of CRC[odds ratio(OR)=1.178,95％confidence interval(CI):1.092-1.272)](P＜0.001),and the association remained significant after adjusting for height[OR(95％CI)=1.214(1.111,1.327)](P＜0.001).Cochran's Q-test showed heterogeneity among the IVs(P＜0.05),while the horizontal pleiotropy of IV was not detected by the MR-Egger regression(P＞0.05).The leave-one-out analysis showed that the MR results were robust.Reverse MR analysis indicated no reverse causal relationship between IGF-1 and CRC[OR(95％CI):1.017(0.997,1.037)](P=0.103).Conclusion:There is a causal relationship between IGF-1 level and CRC,and elevated IGF-1 level could be a risk factor for CRC.

Objective:To screen the Alzheimer's disease(AD)-related genes and construct its diagnostic model using bioinformatics technology and machine learning(ML)algorithms,to discuss the immunological characteristics of AD patients,and to provide novel biomarkers for AD diagnosis.Methods:The AD-related gene expression dataset GSE125583 was downloaded from the Gene Expression Omnibus(GEO)database.Differentially expressed genes(DEGs)were identified through differential analysis.Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analyses were performed to explore the biological functions and signaling pathways of DEGs.A protein-protein interaction(PPI)network was constructed,and hub genes were screened using Cytoscape software combined with three ML algorithms:Least Absolute Shrinkage and Selection Operator(LASSO),eXtreme Gradient Boosting(XGBoost),and Random Forest(RF).The screened hub genes were utilized to build an AD diagnostic model via RF,followed by feature importance ranking.The model's efficacy and key genes were evaluated using a test set.Single-sample gene set enrichment analysis(ssGSEA)was used for immune cell infiltration analysis between AD group and control group.Results:Differential analysis identified 1 287 DEGs.The GO functional enrichment analysis results revealed that DEGs were primarily involved in biological functions related to neural signaling,synapses,and vesicles.KEGG signaling pathway enrichment analysis indicated significant enrichment of DEGs in ion transport,neurotransmitter,and ligand-gated channel pathways.Nine overlapping hub genes were screened by the three ML algorithms.In the AD diagnostic model,the top four key genes with highest diagnostic performance were adenylate cyclase-activating polypeptide 1(ADCYAP1),brain-derived neurotrophic factor(BDNF),platelet-derived growth factor receptor β(PDGFRB),and C-X-C motif chemokine receptor 4(CXCR4),with corresponding area under the curve(AUC)values of 0.852,0.795,0.820,and 0.756,respectively.The model achieved an AUC of 0.828,accuracy of 81.25%,sensitivity of 84.40%,and specificity of 71.43%.The immune cell infiltration analysis results demonstrated higher infiltration of macrophages,monocytes,natural killer(NK)cells,and lymphocytes in AD tissue.Among these,NK/natural killer T(NKT)cells and plasmacytoid dendritic cells showed significant correlations with the four key genes(P<0.05).Conclusion:The feature genes screened based on bioinformatics and ML exhibit diagnostic potential for AD.Genes such as ADCYAP1 may serve as potential biomarkers for AD diagnosis,offering significant implications for early prevention and treatment.

Objective:To analyze the prenatal ultrasonographic features and prognosis of fetal perirenal urinoma.Methods:This retrospective study included eight fetuses with perirenal urinoma diagnosed by prenatal ultrasound in the Women and Children's Hospital of Chongqing Medical University from January 2017 to August 2023. Descriptive analysis was performed on their prenatal ultrasonographic features, intrauterine intervention measures, postnatal treatment, and prognosis.Results:Among the eight cases, the prenatal ultrasonographic diagnosis was consistent with the postnatal clinical diagnosis in seven cases, with one misdiagnosis (postnatally confirmed as giant renal cyst with multicystic dysplastic kidney). Prenatal ultrasonographic features of fetal perirenal urinoma included cystic mass adjacent to the renal capsule; obvious compression of the surrounding organs and the affected kidney; increased craniocaudal diameter of the affected kidney with thin parenchyma, increased echogenicity, indistinct corticomedullary differentiation, and pyeletasis; poorly visualized partial renal arteries; normal or mildly enlarged contralateral kidney; adequate bladder filling; normal amniotic fluid volume. Two cases underwent intrauterine cyst aspiration with subsequent cyst size reduction (slight re-enlargement during follow-up). Among the remaining six untreated cases, one case showed stable cyst size, while five cases exhibited initial significant cyst enlargement followed by stabilization or regression trend. All eight cases were born at full term (three delivered vaginally and five by cesarean section). The affected kidney was significantly atrophied within one week after birth by ultrasound observation. Impaired function of the affected kidney was shown in four patients by follow-up after discharge (including two cases of intrauterine treatment),one case abandoned treatment due to other illnesses, two cases were lost to follow-up after discharge.Conclusions:Prenatal ultrasound images of perirenal urinary cysts infetuses exhibit typical features. Intrauterine treatment can reduce the compression of large cysts and hydronephrosis on fetal organs, but there is no significant improvement in the recovery of renal function.

Objective:To investigate the clinical value of prenatal ultrasound in assessing fetal low-lying conus medullaris and prognostic factors.Methods:Prenatal ultrasound images and pregnancy outcomes were retrospectively analyzed for 54 pregnant women with fetal conus medullaris position below the third lumbar vertebra (L3) level detected by prenatal ultrasound at Chongqing Health Center for Women and Children from May 2017 to January 2024. Based on postnatal follow-up results (clinical symptoms, imaging data, or surgical findings within 5-year old), they were divided into normal (42 cases) and abnormal (12 cases) groups. Basic clinical data were collected, including initial conus medullaris position at first diagnosis (conus medullaris at L3 level defined as 3, between L3 and L4 as 3.5, and so on; at first sacral vertebra as 6, second sacral vertebra as 7), and changes in conus medullaris position during prenatal ultrasound or MRI follow-up. Independent sample t-tests and Chi square tests were used to compare changes in conus medullaris position, tethered cord phenomenon, and presence of spinal masses between groups. Results:The initial conus medullaris position in the abnormal group was significantly lower than in the normal group (4.7±1.5 vs. 3.7±0.4, t=－3.75, P<0.001), and the proportion of rising to L3 or above in utero was lower than in the normal group [2/9 vs. 78.1% (25/32), χ2=9.76, P=0.002]. The abnormal group had higher proportions of tethered cord phenomenon [5/12 vs. 0.0% (0/42), χ2=19.29, P<0.001] and spinal masses [9/12 vs. 2.4% (1/42), χ2=32.62, P<0.001] compared to the normal group. Among the abnormal group children, eight underwent postoperative surgery (three with tethered cord and meningocele, four with tethered cord and lipoma, one with tethered cord, meningocele, and lipoma), with an overall good postoperative prognosis. Conclusion:Prenatal ultrasound enables dynamic monitoring of fetal conus position, while characteristic findings (tethered cord signs and spinal masses) help identify potential tethered cord syndrome, providing crucial evidence for comprehensive prenatal evaluation and early intervention.

Objective To differentiate disguised visual acuity,(VA)by analyzing discrepancies across diversified visual acuity tests.Methods Volunteers were recruited,and VA(V,and V2)was measured before and after the experiment.Volunteers independently selected an experimental VA(Vt)and were assigned to either the disguised group or the control group.A specially designed heterogeneous optotype chart and a single-optotype chart with variable test distances were used to measure VA(t1,t2,t3),while a standard logarithmic VA chart was used to measure VA(t4).Based on the maximum VA discrepancy(△t),t4 was classified as"real"(≤ 1 line),"disguised"(≥ 2 lines),or"suspicious"(＞1 and＜2 lines with anomaly).Results A total of 126 valid cases were collected,including 30 in the control group and 96 in the disguised group,with VA ranging from 0.2～1.5.All 88 opinions classified as"disguised"were from the disguised group,and all 29 classified as"real"were from the control group.Of the 7 cases deemed"suspicious,"6 were from the disguised group.The sensitivity,specificity,and overall diagnostic accuracy were 91.7％,96.7％(P＜0.0001),and 92.9％(P＜0.0001),respectively.In the disguised group,38 cases exhibited unexplained identifying anomalies.Conclusion A VA discrepancy of ≥ 2 lines is a reliable indicator for detecting disguised visual acuity.Identifying anomalies may serve as a novel and sensitive marker for recognizing visual disguise.