Informed consent in psychological counseling is the first step for clients to initiate the counseling process， and the degree and effectiveness of informed consent are important factors that determine the subsequent effectiveness and development of psychological counseling. By elaborating on the connotation and importance of informed consent in psychological counseling， the ethical dilemmas of the issue of informed consent in psychological counseling were classified and summarized. There were ethical dilemmas， such as the lack of consensus， procedural guarantee mechanisms， special clients procedures and informed consent principles， as well as non-standard informed consent procedures in online psychological counseling. The paper also proposed to clarify the explanatory obligations of counselors， strengthen procedural ethical constraints， formulate special norms for informed consent for special subjects， and enhance the ethical education and capacity building of psychological counselors.

Objective To explore the effects of lipoxygenase(LOX)on severe fever with thrombocytopenia syndrome virus(SFTSV)in human umbilical vein endothelial cells(HUVECs).Methods The CCK-8 assay was used to assess the cytotoxicity of LOX in HUVECs.Real-time quantitative PCR(qPCR)was adopted to detect the replication of viral RNA in cells.The infection rate of SFTSV to HUVECs was observed via indirect immunofluorescence assay(IFA).The expressions of intracellular viral NP protein and autophagy related proteins microtubule-associated protein 1 light chain 3(LC3)and adenosine 5'-monophosphate-activated protein kinase(AMPK)/mammalian target of rapamycin(mTOR)were detected via Western blotting.Lipid metabolomics was used to analyze the differences in expressions of intracellular metabolites in the SFTSV-infected Huh 7 with or without LOX treatment.Results The results of CCK-8 showed no obvious cytotoxicity to HUVECs with LOX≤8 mg/mL.With the increase of LOX concentrations,the viral RNA level,viral infection rate,and expressions of SFTSV nucleoprotein(NP)protein were gradually decreased,respectively.The autophagy reaction was activated in SFTSV-infected HUVECs,evidenced by the increased expression level of LC3 Ⅱ protein.Compared with the untreated group,LOX treatment resulted in decreased levels of LC3 Ⅱ and AMPK phosphorylation,and enhanced phosphorylation of mTOR in SFTSV-infected HUVEC.Conclusion LOX negatively regulates autophagy by inhibiting AMPK/mTOR signaling pathway,thereby inhibiting SFTSV replication.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

Objective This study aim to evaluate the therapeutic efficacy of ultrasound-guided acupuncture,specifically targeting the Tiaokou(ST38)acupoint through Chengshan(BL57)to elicit the Deqi sensation,in the context of acute scapulohumeral periarthritis.Methods Utilizing a randomized controlled trial design,a total of 60 subjects diagnosed with acute scapulohumeral periarthritis underwent random allocation into either the observation or control group,with 30 subjects in each.Under ultrasound guidance,acupuncture was administered unilaterally at the specific acupoint ST38 through BL57.The observation group received needling traversing the calf interosseous membrane,reaching the deep fascia of the tibialis posterior muscle,employing lifting and inserting twisting techniques to induce Deqi.In contrast,the control group received acupuncture targeting the sub-superficial fascia without needle manipulation or the requirement for Deqi.Both groups underwent a singular acupuncture session,with a standardized 20-minute needle retention period.Results Post-acupuncture intervention,the observation group exhibited a statistically significant total effective rate of 76.66％,greater than that in the control group at 30％(P＜0.01).Comparative analysis revealed substantial enhancements in the observation group,including improvements in VAS score,Constant shoulder joint function score,the highest △T of red external thermal imaging around the shoulder,and patients'subjective acupuncture sensation scores(P＜0.05).Additionally,within the observation group,post-treatment reductions were observed in VAS score and △ T of red external thermal imaging,coupled with an elevation in Constant shoulder joint function score(P＜0.01).Importantly,neither group manifested discernible adverse reactions.Conclusion Ultrasound-guided acupuncture,facilitating Deqi at Tiaokou(ST38),emerges as a clinically significant and secure intervention for acute scapulohumeral periarthritis.These findings substantiate its potential as a viable therapeutic modality,promoting broader clinical adoption.

Objective This study aim to evaluate the therapeutic efficacy of ultrasound-guided acupuncture,specifically targeting the Tiaokou(ST38)acupoint through Chengshan(BL57)to elicit the Deqi sensation,in the context of acute scapulohumeral periarthritis.Methods Utilizing a randomized controlled trial design,a total of 60 subjects diagnosed with acute scapulohumeral periarthritis underwent random allocation into either the observation or control group,with 30 subjects in each.Under ultrasound guidance,acupuncture was administered unilaterally at the specific acupoint ST38 through BL57.The observation group received needling traversing the calf interosseous membrane,reaching the deep fascia of the tibialis posterior muscle,employing lifting and inserting twisting techniques to induce Deqi.In contrast,the control group received acupuncture targeting the sub-superficial fascia without needle manipulation or the requirement for Deqi.Both groups underwent a singular acupuncture session,with a standardized 20-minute needle retention period.Results Post-acupuncture intervention,the observation group exhibited a statistically significant total effective rate of 76.66％,greater than that in the control group at 30％(P＜0.01).Comparative analysis revealed substantial enhancements in the observation group,including improvements in VAS score,Constant shoulder joint function score,the highest △T of red external thermal imaging around the shoulder,and patients'subjective acupuncture sensation scores(P＜0.05).Additionally,within the observation group,post-treatment reductions were observed in VAS score and △ T of red external thermal imaging,coupled with an elevation in Constant shoulder joint function score(P＜0.01).Importantly,neither group manifested discernible adverse reactions.Conclusion Ultrasound-guided acupuncture,facilitating Deqi at Tiaokou(ST38),emerges as a clinically significant and secure intervention for acute scapulohumeral periarthritis.These findings substantiate its potential as a viable therapeutic modality,promoting broader clinical adoption.

Carotenoids are secondary metabolite responsible for colored pigments in plants and microbes (Li et al., 2022). They are a class of C₄₀ tetraterpenoids consisting of eight isoprenoid units, and can be classified into carotenes and xanthophylls on the basis of their functional groups (Saini et al., 2015). Carotenes can be linear (phytoene, phytofluene, and ζ‍-carotene) or branched (β‍-carotene and α‍-carotene). Xanthophylls comprise β,β‍-xanthophylls (β‍-cryptoxanthin, zeaxanthin, violaxanthins, and neoxanthin) and β,ε‍-xanthophylls (α-cryptoxanthin, α-carotene, and lutein). Citrus fruits are complex sources of carotenoids, which are the principal pigments responsible for the typical orange color of most types (Chen, 2020). The difference in total carotenoid content and the diversity of carotenoid isomer proportion also accounts for other colors of citrus fruits, such as yellow, red, and pink (Chen, 2020).
Citrus/metabolism* ; Carotenoids ; Xanthophylls ; Lutein/metabolism* ; Zeaxanthins/metabolism* ; Fruit

This paper aims to detect the antigens in porcine circovirus type 2 (PCV2) vaccines by high-performance size-exclusion chromatography (HPSEC) coupled with multi-angle laser light scattering (MALLS). With purified inactivated PCV2 and PCV2 virus-like particles (VLP) as references, two inactivated vaccines (a and b) and two VLP vaccines (c and d) for PCV2 from four manufacturers were analyzed by HPSEC-MALLS after demulsification. The antigen peaks in HPSEC-MALLS were identified by PCV2 antigen test strips, Western blotting and transmission electron microscope (TEM). The repeatability and linearity of the method were investigated. The results showed the virus antigens in the two inactivated vaccines were eluted at about 13.3 min in HPSEC. The molecular weight of these antigens was 2.61×10⁶ (±4.34%) Da and 2.40×10⁶ (±2.51%) Da, respectively, as calculated by MALLS. The antigen peaks of the two VLP vaccines also appeared at 13.3 min and the molecular weight was 2.09×10⁶ (±2.94%) Da and 2.88×10⁶ (±11.85%) Da, respectively, which was close to the theoretical molecular weight of PCV2. Moreover, an antigen peak of VLP vaccine c was observed at 11.4 min and the molecular weight was 4.37×10⁶ (±0.42%) Da. The antigen was verified to be the dimer of VLP by TEM. Vaccine d and purified Cap VLP antigens were tested repeatedly, and the RSD of the peak area (n=3) was all < 1.5%, indicating that the method was repeatable. The purified VLP were diluted in serial and tested for linearity. The result suggested good linear relationship between the peak area of VLP or VLP aggregates and the protein concentration of the sample with R² of 0.999 and 0.997, respectively. Thus, the method met the requirement for quantification and aggregate analysis. This method is accurate and efficient in in vitro quality evaluation and improvement of PCV2 vaccine.
Animals ; Antibodies, Viral ; Capsid Proteins ; Chromatography, Gel ; Circoviridae Infections/prevention & control* ; Circovirus ; Lasers ; Swine ; Vaccines, Inactivated ; Vaccines, Virus-Like Particle ; Viral Vaccines

A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women.However,there is a lack of studies available on Chinese women.In the present study,the composition of the vaginal microbiota during pregnancy and the 6-week postpartum period of 454 Chinese women was characterized by sequenc-ing the V3-V4 region of the 16S ribosomal RNA(rRNA)gene.The vaginal microbiome showed variations during pregnancy and the postpartum period based on the abortion history,hypertensive disorders,delivery mode,and maternal age.Co-variation of 22 bacterial taxa,including the Lacto-bacillus genus and two of its species,may account for the common characteristics of the vaginal microbiome under scenarios of different medical histories and pregnancy outcomes.In contrast,dis-criminant bacterial species were significantly different between women who had preterm birth(PTB)with and without premature rupture of membranes(PROM),and the community state type(CST)Ⅳ-A without any predominant Lactobacillus species in the microbiota was more prevalent during pregnancy in the PROM-PTB cases,suggesting that specific bacterial species could be considered to distinguish between different types of PTB.By providing data on Chinese women,this study will enrich the knowledge of the human microbiome and contribute to a better understanding of the association between the vaginal microbiome and reproductive health.

Objective:To explore the value of a deep learning model based on MRI in predicting the methylation status of MGMT in WHO Ⅱ, Ⅲ gliomas.Methods:The clinical and imaging data of 121 patients with WHO grade Ⅱ, Ⅲ glioma confirmed by surgical pathology and molecular pathology in the Second Hospital of Lanzhou University from June 2016 to June 2020 were retrospectively analyzed. Among them, the MGMT promoter was methylated. A total of 78 cases were metabolized and 43 cases were unmethylated. T 2WI and T 1WI enhanced sequence images of 121 cases of WHO Ⅱ, Ⅲ gliomas were collected, and all the images of each patient including the lesion level were selected manually, and were randomly divided into training set and validation set according to 7∶3. The EfficientNet-B3 convolutional neural network was used to build independent prediction models (T 2-net, T 1C-net, TS-net) based on T 2WI, T 1WI enhancement, T 2WI combined with T 1WI enhancement, and the prediction performance of each model was evaluated separately through the ROC curve. Results:The T 2-net model in the validation set presented an accuracy of 72.3%, a sensitivity of 64.7%, a specificity of 73.3%, and an area under the curve (AUC) of 0.72 for predicting the methylation status of the MGMT promoter in WHO Ⅱ, Ⅲ gliomas. The T 1C-net model showed an accuracy of 66.8%, a sensitivity of 68.3%, a specificity of 66.9%, and an AUC of 0.72. The TS-net model showed an accuracy of 81.8%, a sensitivity of 63.1%, a specificity of 85.0%, and AUC of 0.78. Conclusions:The EfficientNet-B3 convolutional neural network based on MRI can predict the methylation status of the MGMT promoter of WHO Ⅱ, Ⅲ gliomas; the TS-net model has the best prediction performance.