AIM: To investigate the comorbidity status of myopia and depressive symptoms among middle school students, identify key influencing factors, and establish a prediction model, thereby providing empirical evidence for the comprehensive intervention of these two conditions.METHODS: Students from 3 middle schools in Feidong county were recruited between 2022 and 2024. Myopia was defined as uncorrected visual acuity ≤5.0 with spherical equivalent refraction <-0.50 diopters(D). Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale(CES-D), with a score ≥16 indicating the presence of depressive symptoms. A database was established and data were entered using EpiData software. Pearson's Chi-square test and multivariate Logistic regression analysis were performed to identify influencing factors and screen variables with R statistical software(version 4.5.2). Finally, a Stacking ensemble prediction model was constructed using Python3.13 software. RESULTS: The study included 2 476 students, consisting of 1 380 males and 1 096 females. The overall detection rate of myopia-depressive symptom comorbidity among the studied students was 14.54%. Univariate analysis showed that variables were significantly associated with the comorbidity, including family structure, grade level, sugar-sweetened beverage intake, exercise frequency, school bullying, and parental physical or verbal abuse(all P<0.05). Multivariate Logistic regression analysis identified the following risk factors: higher grade levels(8th grade: OR=1.9143, 95%CI: 1.1096-3.3024; 9th grade: OR=1.7884, 95%CI: 1.0506-3.0444; 11th grade: OR=2.1847, 95%CI: 1.1980-3.9840; 12th grade: OR=3.4606, 95%CI: 1.8250-6.5621), daily consumption of sugar-sweetened beverages more than once(OR=3.1383, 95%CI: 1.7112-5.7560), low frequency of moderate-to-vigorous exercise on weekends and holidays(mostly achievable: OR=3.3115, 95%CI: 1.009-10.8685), alcohol consumption(OR=4.4021, 95%CI: 2.7383-7.0766), daily sedentary time exceeding 10 h(OR=1.8594, 95%CI: 1.2141-2.8476), lack of puberty education(OR=3.0098, 95%CI: 2.0659-4.3848), and exposure to parental physical or verbal abuse(OR=2.4050, 95%CI: 1.1484-5.0364). Protective factors included no experience of school bullying(OR=0.0055, 95%CI: 0.0002-0.1602), no history of severe injury(OR=0.3118, 95%CI: 0.1823-0.5332), outdoor activities during class breaks(OR=0.1672, 95%CI: 0.0752-0.3719), and moderate after-school homework duration(2-3 h per day: OR=0.4802, 95%CI: 0.2620-0.8801). The constructed Stacking prediction model demonstrated good discriminative ability, with an area under the receiver operating characteristic curve(AUC)of 0.855, a sensitivity of 81.5%, and a specificity of 74.0%. Key predictive factors included alcohol consumption status, location of recess activities, unhealthy lifestyle composite index(interaction term between sedentary duration and sugar-sweetened beverage intake frequency), academic stress index(interaction term between sedentary duration and homework duration), and after-school homework duration.CONCLUSION: The comorbidity of myopia and depression among middle school students is jointly influenced by multiple factors such as lifestyle, academic pressure, and family/campus environment. It is advocated to implement a three-level intervention system that includes restricting the sale of sugar-sweetened beverages, conducting psychological screening for sedentary students, and carrying out family-school-medical collaborative management of drinking behaviors. This model can be applied to school health screening and the early identification of high-risk groups in community adolescent health management. It is suitable for middle school students in regions with similar economic levels, but not applicable to students receiving special education or those with severe organic diseases.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To investigate the clinicopathological features of odontogenic myxoma(OM).Methods The clinicopath-ologic data of 15 patients with odontogenic myxoma(OM)diagnosed by routine pathology in Stomatological Hospital Affiliated to Nanjing Medical University from January 2013 to June 2023 were retrospectively analyzed.Results(1)The most common cases were female(66.7％),20-40 years old(73.3％),mandible(60.0％)and posterior dental area(93.3％).(2)The characteristic imaging findings were multilocular cystic low-density radiography,resembling honey comb/tennis racket/soap bubble structures.(3)Microscopi-cally,star or spindle tumor cells can be seen scattered in the background of light blue mucoid matrix,and occasionally a few odonto-genic epithelial clusters.(4)In 15 odontogenic myxoma(OM)samples,①β-catenin was not expressed in 1 case of mucous type,par-tially or diffusely expressed in 6 cases,not expressed in 2 cases of fibrous type,partially or diffusely expressed in 6 cases;②CD34 and S100 were negative;③Ki-67 index was lower than 1％.(5)Of the 15 patients,only one relapsed,and the rest had a good prognosis.(6)Surgical treatment is the main treatment plan at present,and the appropriate surgical plan should be selected according to the size of the tumor,the scope of the lesion and the situation of the patient.Conclusion Although odontogenic myxoma is a benign tumor,it is locally invasive and recurrent.It is necessary to distinguish it from low-grade malignant myxosarcoma,chondromyxoid fibroma and odontogenic fibroma.Understanding of and familiarity with its clinicopathological features is helpful to its diagnosis and improving the prognosis of patients.

Objective To investigate the clinicopathological features of odontogenic myxoma(OM).Methods The clinicopath-ologic data of 15 patients with odontogenic myxoma(OM)diagnosed by routine pathology in Stomatological Hospital Affiliated to Nanjing Medical University from January 2013 to June 2023 were retrospectively analyzed.Results(1)The most common cases were female(66.7％),20-40 years old(73.3％),mandible(60.0％)and posterior dental area(93.3％).(2)The characteristic imaging findings were multilocular cystic low-density radiography,resembling honey comb/tennis racket/soap bubble structures.(3)Microscopi-cally,star or spindle tumor cells can be seen scattered in the background of light blue mucoid matrix,and occasionally a few odonto-genic epithelial clusters.(4)In 15 odontogenic myxoma(OM)samples,①β-catenin was not expressed in 1 case of mucous type,par-tially or diffusely expressed in 6 cases,not expressed in 2 cases of fibrous type,partially or diffusely expressed in 6 cases;②CD34 and S100 were negative;③Ki-67 index was lower than 1％.(5)Of the 15 patients,only one relapsed,and the rest had a good prognosis.(6)Surgical treatment is the main treatment plan at present,and the appropriate surgical plan should be selected according to the size of the tumor,the scope of the lesion and the situation of the patient.Conclusion Although odontogenic myxoma is a benign tumor,it is locally invasive and recurrent.It is necessary to distinguish it from low-grade malignant myxosarcoma,chondromyxoid fibroma and odontogenic fibroma.Understanding of and familiarity with its clinicopathological features is helpful to its diagnosis and improving the prognosis of patients.

Objective:To establish a serum detection method of surface-enhanced Raman spectroscopy (SERS) combining with machine learning for early screening of colorectal cancer (CRC).Methods:Serum samples were collected from 150 CRC patients diagnosed at Jiangdu People′s Hospital, Affiliated to Yangzhou University, and also from 37 healthy subjects. Gold nanohexapod (AuNHs) arrays were prepared using an oil-water interface self-assembly method. A 5 μl serum sample was applied onto the AuNHs array. Scatheless and rapid detection for serum were performed using a Renishaw inVia Raman spectrometer at room temperature with a laser wavelength of 785 nm, exposure time of 10 s, and power of 5 mW. The raw SERS spectra were preprocessed using Savitzky-Golay smoothing, AsLS baseline correction, and Min-Max normalization with Origin 2019 software. Furthermore, the principal component analysis (PCA)-support vector machine (SVM) model was constructed using Python′s scikit-learn library. Leave-One-Out Cross-Validation (LOOCV) was used to evaluate the model′s accuracy, sensitivity, specificity, and area under the curve (AUC).Results:The AuNHs arrays exhibited uniform morphology. The relative standard deviation (RSD) of the SERS intensity at 1 080 cm -1 was 5.69%, and the RSD of the SERS intensity at 1 340 cm -1 was 6.20%. The limit of detection (LOD) of the AuNHs array was 9.42×10 -12 mol/L. The PCA-SVM model achieved an accuracy of 90.91% (170/187), sensitivity of 96.79% (181/187), specificity of 99.47% (186/187), and an AUC of 0.98. The most significant characteristic peaks distinguishing different CRC stages were at 747, 940, 1 000, 1 447, and 1 612 cm -1. Conclusion:The serum detection method based on SERS combined with machine learning can accurately screen CRC with higher accuracy, sensitivity, and specificity, demonstrating potential clinical application value.

Objective To explore the anti-depression mechanism of Kai-Xin-San(KXS)via regulation of neurogenesis in hippocampus of depression-like mice.Methods The extracts of KXS were prepared and the anti-depression effects of KXS were evaluated by behavioral tests on chronic unpredictable mild stress(CUMS)induced depression-like mice.Evaluating depression-like behavior in CUMS mice through sucrose preference test,forced swimming test,tail suspension test,and other methods.Neurogenesis in hippocampus were determined by immunofluorescence assay.In addition,effects of KXS on regulating nestin expression and Wnt/b-catenin signaling pathway were explored by western blotting analysis.Amounts of cortisol,corticotropin-releasing factor(CRF),adrenocorticotropic hormone(ACTH),brain-derived neurotrophic factor(BDNF)and nerve growth factor(NGF)were determined by ELISA tests.Mouse primary neural stem cells(NSC)was used to evaluate the effect of KXS on promoting its proliferation by immunofluorescence assay.In addition,effects of KXS on regulating nestin and Wnt/β-catenin signaling pathway were also explored by Western blotting analysis.Results KXS significantly ameliorated the depression-like behaviors in presence of increased sucrose preference rate and decreased immobile time of tail suspension and forced swimming.KXS significantly promoted the neurogenesis in the hippocampus and expressions of nestin,reduced the expressions of cortisol,CRF,ACTH,increased the expressions of BDNF,NGF,and regulated Wnt/β-catenin signaling pathway.KXS also promoted the proliferation of NSCs and expressions of nestin,enhanced the translocation of b-catenin into nucleus,and regulated the expressions of proteins of Wnt/β-catenin signaling pathway.Conclusion KXS promoted neurogenesis in hippocampus and regulated Wnt/β-catenin pathway,which might contribute to its antidepressant effect.

Objective Evaluation of the effect and mechanism research of Qi-Shen-Yi-Zhi formula on improving learning and memory ability in mice injected with Aβ1-42 in hippocampus.Methods Alzheimer's disease model mice were constructed by injecting β amyloid peptide 1-42 into hippocampus and treated with water extracts of Qi-Shen-Yi-Zhi formula.The cognitive abilities of mice were assessed using Morris water maze and Y maze tests,which measure learning and memory capabilities.HE staining was used to observe the damage and TUNEL method was used to determine apoptosis of hippocampus.Detection of the expression of oxidative factors,inflammatory factors,and related antioxidant proteins and apoptotic proteins in the hippocampal tissue of a mouse model of dementia.Results Both high-dose and low-dose groups of Qi-Shen-Yi-Zhi formula significantly improved cognitive dysfunction in mice injected with Aβ1-42 in hippocampus,and attenuated the damage and apoptosis of the hippocampus.It also inhibited oxidative stress and downregulated the expressions of inflammatory factors IL-6,IL-1β and TNF-a,increased the expression of antioxidant proteins Nrf2 and HO-1,and regulated the expressions of apoptotic proteins Caspase-9,Caspase-3,Bax and Bcl-2.Conclusion Qi-Shen-Yi-Zhi formula improves the learning and memory abilities of mice injected with Aβ1-42 in hippocampus,which might be related to the attenuation of oxidative stress and neuronal inflammation of hippocampus.

OBJECTIVE To evaluate the effect of Qishen Yizhi formula on improving learning and memory ability in D-galactose subcutaneous injection induced subacute aging mice.METHODS Subacute aging mice model mice were developed by D-galactose subcutaneous injection and then treated with positive drug donepezil(2 mg·kg-1·d-1)and Qishen Yizhi formula water extracts in low(1.33 g·kg-1·d-1)and high dose group(2.67 g·kg-1·d-1).The learning and memory abilities of mice were evaluated using Morris water maze and Y maze tests;HE staining was used to examine hippocampal damage in model mice;TUNEL was used to detect apoptosis of mouse hippocampal tissue;ELISA was used to detect the expression levels of oxidative stress factors and inflammatory fac-tors in the mouse hippocampus tissue;Western blot was used to detect the expression of signaling pathway proteins related to apoptosis,oxidative stress and inflammatory stress in the hippocampus of mice.RESULTS The water extract of Qishen Yizhi formula signifi-cantly shortened the latency and distance of model mice for reaching the platform in the water maze test(P<0.01),and significantly increased the number of crossing the platform(P<0.01);increased the exploration time and number of the Y maze new arm in model mice(P<0.05);inhibited the TUNEL fluorescence expression in the hippocampus of model mice(P<0.01);upregulated the activity of the oxidative stress factor superoxide dismutase(SOD)(P<0.05)and glutathione(GSH)content(P<0.05),and downregulated malondialdehyde(MDA)content(P<0.05);reduced interleukin(IL)-1β,IL-6 and tumor necrosis factor(TNF-α)expression levels(P<0.05,P<0.01);decreased the expression of apoptosis signaling pathway proteins Cleaved Caspase-3 and Caspase-3(P<0.05),upregulated the expression of oxidative stress signaling pathway proteins Nrf2 and HO-1(P<0.05),and downregulated the expression of inflammatory stress signaling pathway proteins p-NF-κB and NF-κB(P<0.05).CONCLUSION Qishen Yizhi for-mula can improve the learning and memory ability of subacute aging model mice injected with D-galactose,which may be related to its inhibitory effect on hippocampal oxidative stress and inflammatory stress.

Objective:To summarize the use of Castor stent graft in aortic diseases and to analyze their efficacy.Methods:The clinical data of patients with aortic diseases treated with Castor stent graft from November 2017 to August 2022 in Fujian Provincial Hospital were collected and divided into branched stent group and branched stent co-operative group according to the operation method, and the clinical data of both groups were summarized.Results:A total of 75 cases of aortic disease were treated with Castor stents, and finally 53 cases were classified as branched stent group and 22 cases as branched stent co-operative group. The operations in both groups were successful. The median operative time in the branched stent group was 120(100, 160)min, and the median postoperative hospital stay was 7.0(5.5, 10.5)days.There was no postoperative ischemic stroke, no spinal cord ischemia. One case of new aortic dissection occurred. During follow-up, there was one lost case and two deaths, and the rest did not have endoleak, branch stent stenosis, ischemic stroke or re-intervention. In the branched stent co-operative group, there was one postoperative ischemic stroke, one case of slight stenosis of the left subclavian artery stent during follow-up, the remaining cases had satisfactory postoperative outcomes.Conclusion:Castor stent graft is a safe and effective procedure in the treatment of aortic diseases. And Castor stent graft can be used in combination with other endovascular repair techniques in the treatment of complex aortic diseases, with safe and reliable postoperative outcomes.

BACKGROUND: Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery. METHODS: In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC). RESULTS: A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model. CONCLUSIONS A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.
Humans ; Female ; Breast Neoplasms/genetics* ; East Asian People ; Neoplasm Recurrence, Local/genetics* ; Breast ; Algorithms ; Chronic Disease ; Prognosis ; Tumor Microenvironment