Objective: To understand the moderating effect of cohabitation with parents on the association between peer dating behavior and sexual behaviors among secondary vocational school students, so as to provide a scientific basis for preventing sexual behaviors among secondary vocational school students. Methods: From March to April 2021, an electronic questionnaire survey was conducted among 3 180 students from 6 vocational schools in Shanghai (urban, suburban, exurban) and Shaanxi (Shangluo, Ankang, Baoji) using cluster sampling. Spearman correlation analysis was used to investigate the relationship of cohabitation with parents, peer dating behavior and sexual behaviors among secondary vocational school students. Binary Logistic regression analysis was performed to investigate the role of cohabitation with parents on peer dating behavior and sexual behaviors among secondary vocational students. Results: There was a significant negative between cohabitation with parents and sexual ( r =-0.04); and there was a positive correlation between peer dating behavior and sexual behaviors ( r =0.24), as well as cohabitation with parents and peer dating behavior ( r =0.04)( P <0.05). Multivariable Logistic regression analysis showed an association between peer dating behavior and the occurrence of sexual behaviors ( OR=2.79-12.95, P <0.05). Cohabitation with parents played a moderating role in the association between peer dating behavior and sexual behaviors, and a signification interaction was found between cohabitation with parents and reporting that a small part or about half of their peers had dating behavior ( OR =0.48, P <0.05). Conclusions The more peers dating behavior are associated with a higher risk of sexual behaviors among secondary vocational school students, and cohabitation with parents can partly reduce this risk. School and family sexuality education for secondary vocational students should be strengthened to improve their interpersonal skills and decision-making, and ability to resist peer pressure, so as to reduce their risk of sexual behaviors.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

The pathogenesis of Alzheimer's disease(AD)is complex and unclear.Existing drugs can only alleviate its symp-toms,and there is an urgent need to develop effective therapeutic drugs.As the representative drugs of tonic and enlightening medicine,ginseng and acorus calamus have pharmacological effects to improve memory,improve learning ability and reduce cognitive impairment,which are commonly used in Chinese med-icine for the treatment of dementia.The combination of ginseng and acorus calamus can further promote the active ingredients in-to brain to exert their medicinal effects,and delay the process of AD through anti-inflammatory,anti-oxidative stress,modulation of neuronal-synaptic plasticity and other multiple pathways,with multi-level,multi-system and multi-target action characteristics.This paper attempts to summarize the existing research results and lay the foundation for further exploring the synergistic mech-anism of action of ginseng-acorus calamus combination and the dose-effect relationship of the combination,so as to provide a sci-entific basis for the development of innovative Chinese medicines for the prevention and treatment of AD.

Aim To investigate the synergistic sensiti-zation effect of saikosaponin D(SSD)combined with temozolomide(TMZ)on glioblastoma cells(GBM)and its molecular mechanism.Methods The sensitiv-ity of RG-2,U251 and LN-428 GBM cell lines to SSD and TMZ was analyzed by CCK-8 method combined with HE staining,and the optimal compatible concen-tration was screened.The effect of HE staining com-bined with Hoechst fluorescence staining on the prolif-eration of GBM cell line was detected by clonal forma-tion experiment.The autophagosome formation of GBM cells was observed by monodansylcadaverine(MDC)staining.The expression and distribution of endoplas-mic reticulum stress-related factors and apoptosis and autophagy proteins were detected by Western blot and ICC.Results The sensitivity order of GBM cells to TMZ was RG-2＞U251＞LN-428.The results of com-bined administration showed the synergistic inhibitory effect of SSD combined with TMZ on proliferation of GBM cell lines,which was confirmed by cell cloning formation experiment.Compared with the TMZ group,Hoechst fluorescence staining showed a significant in-crease in the number of nuclear bright staining in the combined administration group.MDC fluorescence staining showed that there were more dense green parti-cles in the cytoplasm of SSD/TMZ plus group than that of TMZ group.Western blot results showed that com-pared with TMZ group,the expression of ER stress markers GRP78,CHOP,p-PERK and ATF6 signifi-cantly increased in SSD/TMZ group(P＜0.05).The expressions of apoptosis proteins caspase-12,caspase-9,caspase-3,cleaved caspase-3,Bax and autophagy proteins LC3 and Beclin-1 significantly increased(P＜0.05),which were verified by ICC test.Conclusions SSD can cooperate with TMZ to inhibit the prolifera-tion of GBM cells and induce apoptosis and autophagy,and enhance the sensitivity of GBM cells to TMZ by ac-tivating endoplasmic reticulum stress pathway.

Exosomes represent a class of nanoscale extracellular vesicles that facilitate the exchange of genetic information among various cells.Alzheimer's disease(AD)stands as a progressive neurodegenerative disorder characterized by its subtle and advan-cing onset,representing the foremost form of dementia lacking effective therapeutic interventions.Notably,investigations have illuminated the involvement of exosomes in the pathogenesis of AD,attributing diagnostic and therapeutic significance to their role,particularly concerning exosomal microRNAs(miRNA).The miRNAs carried by exosomes serve as potential biomarkers for AD,while also exhibiting potential benefits in ameliorating cognitive dysfunction in individuals afflicted by AD.This article aims to comprehensively review the origins of exosomes(encom-passing both mesenchymal cell-derived exosomes and brain-de-rived exosomes)and their potential as therapeutic agents targe-ting AD.

Ecto-nucleotide pyrophosphatases/phosphodiesterases(ENPPs)are involved in the hydrolysis of different purine nu-cleotides in a range of physiological processes.In recent years,it has also been found to be involved in tumor progression,with ENPP1 often overexpressed in local recurrence and tumor metas-tasis,which is associated with poor prognosis and survival in a range of solid tumors.The role of ENPP1 in tumors is mainly fo-cused on tumor proliferation,metastasis,immunity,recurrence,etc.,and it is speculated that ENPP1 can be used as a prognos-tic indicator for a variety of tumors.ENPP1 promotes the immu-nosuppressive tumor microenvironment by being obliquely in-volved in the regulation of ATP/adenosine homeostasis by com-bining with other components,which crosses with interferon gene stimulators to impair its potent immune response through the hy-drolysis of the effector 2',3'-cyclic GMP-AMP.Therefore,EN-PP1 blockade has become an effective means to induce immune remodeling and inhibit tumorigenesis and development.The ex-isting ENPP1 inhibitors mainly include natural small molecule compounds,nucleotide ENPP1 inhibitors,non-nucleotide EN-PP1 inhibitors,and novel small molecule ENPP1 inhibitors.So far,a small number of ENPP1 inhibitors have been developed and are rarely suitable for in vivo experiments,and they are still in the stage of developing effective compounds or lead com-pounds,and the research on ENPP1 inhibitors needs to be fur-ther studied.This review summarizes and discusses the role of ENPP1 in tumors,and summarizes the current research progress of various ENPP1 agents and their current research progress,in order to provide a reference for further research on the prepara-tion of drug candidates.