Objective The purposes of the present study are to investigate the effects and mechanisms of Bu Shen Ning Xin Yi Jing Pill on premature ovarian failure (POF) through a clinical study. Methods Sixty women with POF were administered and randomized into the treatment group and the control group. Every group had thirty cases. Patients in the treatment and control groups were requested to have the Bu Shen Ning Xin Yi Jing Pill and the Liu Wei Di Huang Pill, respectively. Six-month duration was considered as a therapeutic course. The serum levels of follicle stimulating hormone (FSH) and estradiol (E2) were determined by the chemistry luminescence method. Differences between the treatment and control groups were investigated.Results Improved menstruation were revealed in both groups and the treatment group showed significant improvement than the control group (P<0.01). In the treatment group, serum FSH levels sharply dropped after treatment, while the serum E2 levels significantly elevated compared with those of prior-treatment (P<0.01) . The total effective rate in the treatment group was 70% (21 cases), whereas 40% in the control group (12 cases). The difference had statistical significance (P<0.01) .Conclusion The BuShen NingXin YiJing Pill is effective in the treatment of premature ovarian failure via significant improvements in the clinical symptoms and balance of the endocrine hormones.

Objective To investigate the possible protective effect of Shenqingyin Decoction on the kidney of experimental diabetic rats and its possible mechanism. Methods Totally 40 rats with diabetes induced by streptozocin were divided into 4 groups: diabetes model group, Shenqingyin group, Benopril group and Shenqingyin-Benopril combination group. After 8 weeks' treatment, blood glucose, renal function and 24h urine protein were measured, and malondialdehyde (MDA) in renal tissues and urine, superoxide diamutase (SOD) activity and serum transformed growth factor-β_1(TGF-β_1) were tested; renal pathological changes were observed with light microscope as well. Results The serum BUN, Scre of all medicine groups were significantly improved, which did not significantly differ from that in control group (P>0.05). However, it had no obvious improving effect on blood sugar. The content of 24h urine protein in all medicine groups was significantly lower than that in model group (P<0.05 or P<0.01), and Shenqingyin-Benopril combination group had the significantly lower level than the other two medicine groups (P<0.01). MDA in renal tissues and urine, SOD activity and serum TGF-β1 in all medicine groups significantly differed from those in the model group (P<0.05 or P<0.01), and Shenqingyin-Benopril combination group had obvious difference with the other two medicine groups (P<0.01). Light microscopy showed amelioration of different degree in renal pathological changes, but with no significant differences in all medicine groups. Conclusion Shenqingyin Decoction has a protective effect on the kidney of experimental diabetic rats, and it has some synergetic effect when combined with Benopril. The mechanism may be related to inhibiting oxidative stress, improving the body's antioxidant ability and decreasing the expression of inflammatory factor TGF-β_1.

Objective To investigate the effects of proprioceptive training on lumbar disc herniation (LDH). Methods 50 patients with LDH were divided into experimental group (n=25) and control group (n=25). Both groups received physiotherapy and core stability exercise, and the experimental group received proprioceptive training with BIODEX Balanced System in addition. They were assessed with the Visual Analogous Scale (VAS) of pain, Oswestry Disability Index (ODI), and posture stability and limits of stability of BIODEX Balanced System. The incidence of relapse was followed up in a year. Results The scores of VAS, ODI, posture stability and limits of stability improved in both groups after treatment (P<0.05), and the ODI, posture stability and limits of stability improved more in the experimental group than in the control group (P<0.05). There were 5 cases relapsed in the control group, and 2 cases in the experimental group. Conclusion The proprioceptive training may further improve the function of lower back, and motor control in patients with LDH, and prevent the relapse.

Objective To investigate the quality of life of patients with chronic diseases as well as the influencing factors. Method Two hundred and fifty five elderly patients with chronic disease from 3 hospitals in Guangzhou involved in the survey by adopting WHO quality of life-old(WHO OQOL-OLD)to investigate the quality of life and influencial factors.Results The quality of life of the elderly patients was in middle level.In the dimension of Past,Present and Future Activities,the quality of life was statistically different between the patients with different chronic diseases(P<0.05);In the dimension of Autonomy and Death&Dying, the quality of life was statistically different between those with and without cerebrovascular diseaseor(all P<0.05);In the dimensions of Autonomy,Social Participation,Death and Dying and Intimacy,the quality of life was statistically different between those needing care and no care after discharge(all P<0.05).Conclusions The quality of life of the elderly patients with chronic diseases is in middle level.The influencing factors for the quality of life include contracting multiple diseases,needing care after discharge and cerebrovascular diseases.At discharge,nurses should regulate instructions for them for the purpose of improving their autonomy,social participation and adaptability after discharge. Thus,their quality of life can be improved.

Objective:To analyze the risk factors of intracranial hemorrhage after implanting 125-iodine seeds for brain tumors.Methods:A total of 234 patients with intracranial tumors receiving treatment of 125-iodine seeds from March, 2013 to November, 2020 were retrospectively analyzed. Patients were divided into bleeding group and non-bleeding group according to whether postoperative intracranial hemorrhage was reported. Univariate and multivariate analysis was performed by logistic regression to determine the independent risk factors of intracranial hemorrhage.Result:A total of 22 cases (9.4%) reported postoperative intracranial hemorrhage in 234 patients treated with 125-iodine seeds. Univariate analysis showed that the type of tumor and the history of anti-angiogenic drug within one month were possible risk factors ( P<0.1). Multivariate logistic regression analysis showed that anti-angiogenic drug within one month was the independent risk factor for intracranial hemorrhage ( P<0.05). Conclusions:The application of anti-angiogenic drugs within one month is the independent risk factor of intracranial hemorrhage with 125-iodine seeds for the treatment of brain tumors.

Objective:To investigate the value of a preoperatively MRI-based deep learning (DL) radiomics machine learning model to distinguish low-grade and high-grade soft tissue sarcomas (STS).Methods:From November 2007 to May 2019, 151 patients with STS confirmed by pathology in the Affiliated Hospital of Qingdao University were enrolled as training sets, and 131 patients in the Affiliated Hospital of Shandong First Medical University and the Third Hospital of Hebei Medical University were enrolled as external validation sets. According to the French Federation Nationale des Centres de Lutte Contre le Cancer classification (FNCLCC) system, 161 patients with FNCLCC grades Ⅰ and Ⅱ were defined as low-grade and 121 patients with grade Ⅲ were defined as high-grade. The hand-crafted radiomic (HCR) and DL radiomic features of the lesions were extracted respectively. Based on HCR features, DL features, and HCR-DL combined features, respectively, three machine-learning models were established by decision tree, logistic regression, and support vector machine (SVM) classifiers. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each machine learning model and choose the best one. The univariate and multivariate logistic regression were used to establish a clinical-imaging factors model based on demographics and MRI findings. The nomogram was established by combining the optimal radiomics model and the clinical-imaging model. The AUC was used to evaluate the performance of each model and the DeLong test was used for comparison of AUC between every two models. The Kaplan-Meier survival curve and log-rank test were used to evaluate the performance of the optimal machine learning model in the risk stratification of progression free survival (PFS) in STS patients.Results:The SVM radiomics model based on HCR-DL combined features had the optimal predicting power with AUC values of 0.931(95%CI 0.889-0.973) in the training set and 0.951 (95%CI 0.904-0.997) in the validation set. The AUC values of the clinical-imaging model were 0.795 (95%CI 0.724-0.867) and 0.615 (95%CI 0.510-0.720), and of the nomogram was 0.875 (95%CI 0.818-0.932) and 0.786 (95%CI 0.701-0.872) in the training and validation sets, respectively. In validation set, the performance of SVM radiomics model was better than those of the nomogram and clinical-imaging models ( Z=3.16, 6.07; P=0.002,<0.001). Using the optimal radiomics model, there was statistically significant in PFS between the high and low risk groups of STS patients (training sets: χ2=43.50, P<0.001; validation sets: χ2=70.50, P<0.001). Conclusion:Preoperative MRI-based DL radiomics machine learning model has accurate prediction performance in differentiating the histopathological grading of STS. The SVM radiomics model based on HCR-DL combined features has the optimal predicting power and was expected to undergo risk stratification of prognosis in STS patients.

BACKGROUND:With the innovation of examination technique,the number of patients with spinal metastases in different stages is increasing year by year.Percutaneous vertebroplasty is an important treatment for spinal metastases;however,there is no report on the biomechanical effect in different stages and different activities after operation. OBJECTIVE:To simulate thoracic T10 bone stress and displacement of the different locations of the tumor metastasis based on the three-dimensional finite element model. METHODS:According to thoracic three-dimensional CT images of a 30-year-old healthy male,Mimics software was used to construct a three-dimensional geometric model of thoracic vertebrae(T9-T11),including ribs,ligaments and intervertebral discs.Three-dimensional models of T9-T11 vertebral bodies and different parts of the posterior thoracic vertebrae invaded by thoracic metastatic tumors were simulated,including the control group with intact vertebral structure,unilateral metastasis involving the vertebral body area(experimental group 1),unilateral metastasis involving the vertebral body and pedicle area(experimental group 2),unilateral metastasis involving the vertebral body,pedicle and transverse process area(experimental group 3),and bilateral metastasis involving the vertebral body,pedicle and transverse process area(experimental group 4).Abaqus software was used to create a three-dimensional finite element model.The von Mises stress distribution and the displacement of the model were analyzed under the loading condition,buckling condition,extension condition,and rotation condition. RESULTS AND CONCLUSION:(1)In the study of the maximum total displacement of loading points in different experimental groups under loading,flexion,extension,and rotation conditions,with the increase of metastatic tumor invasion site and invasion surface,the total displacement of loading points increased,and the overall stiffness decreased,especially the total displacement of loading points in experimental group 4 was the largest.(2)Under flexion condition,the maximum Von Mises stress value increased significantly after vertebral body and pedicle destruction,while the maximum Von Mises stress value was almost unchanged when the thoracocostal joint destruction was added.(3)On the basis of finite element analysis and simulation of bone tumor model,the elements in the bone cement region were set as a single set,and the bone cement region was set as the corresponding material properties to simulate bone cement filling.The results showed that the maximum total displacement under loading,flexion,extension,and rotation conditions was less than that of each experimental group.(4)The maximum stress values of the simulated percutaneous vertebroplasty patients in the loading,flexion,extension and rotation conditions were significantly lower than those of the femoral model.(5)It is concluded that the three-dimensional finite element model based on thoracic T9-T11 conducive to the biomechanics characteristics of thoracic vertebrae tumor metastasis,and on the basis of the thoracic vertebrae tumor metastasis model can accurately simulate load point after percutaneous vertebral body under different conditions of total displacement and the maximum Von Mises stress situation.

ObjectiveTo investigate the effects of Dihuang Yinzi on the cognitive function in the mouse model of learning and memory impairments induced by scopolamine （SCOP） and explore the treatment mechanism. MethodsA mouse model of learning and memory impairment was induced by intraperitoneal injection of SCOP. Sixty male C57BL/6J mice were randomized into six groups： control （0.9% NaCl， n=10）， model （SCOP 1 mg·kg^-1·d^-1， n=10）， low-， medium-， and high-dose Dihuang Yinzi （SCOP 1 mg·kg^-1·d^-1 + Dihuang Yinzi 5.5， 11.0， and 22.0 g·kg^-1·d^-1， n=10）， and donepezil （SCOP 1 mg·kg^-1·d^-1 + donepezil 0.84 mg·kg^-1·d^-1， n=10）. Mice were administrated with corresponding drugs for 6 weeks. Modeling started in the 4th week， and mice in other groups except the control group were injected with SCOP intraperitoneally 40 min after daily gavage. Behavioral testing began in the 5th week， 30 min after modeling each day. The Morris water maze and novel object recognition tests were carried out to evaluate the spatial learning and memory function of mice. Nissl staining was employed to observe the survival of neurons and Nissl bodies in the hippocampal CA1 region. Western blot was employed to determine the protein levels of silent information regulator 2 （SIRT2）， α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid （AMPA） receptor 1 （GluA1）， protein kinase A （PKA）， cAMP response element-binding protein （CREB）， phosphorylated-CREB （p-CREB）， postsynaptic density protein 95 （PSD95）， growth-associated protein-43 （GAP-43）， and synaptophysin （SYN） in the hippocampus. Immunofluorescence was used to detect the expression of doublecortin （DCX） in the hippocampal dentate gyrus （DG） region. ResultsCompared with the control group， the model group showed impaired learning and memory （P<0.01）， obvious neuronal damage in the hippocampal CA1 region， a reduction in neuron survival （P<0.01）， a decrease in DCX expression in the hippocampal DG region （P<0.01）， down-regulated proteins levels of GluA1， PKA， p-CREB/CREB， PSD95， SYN， and GAP-43 in the hippocampal tissue （P<0.05， P<0.01）， and an up-regulated protein level of SIRT2 （P<0.01）. Compared with the model group， the medium- and high-dose Dihuang Yinzi groups and the donepezil group showed improvements in learning and memory （P<0.05， P<0.01）， while the low-， medium-， and high-dose Dihuang Yinzi groups and the donepezil group had increased neuron survival （P<0.05， P<0.01）. The medium-dose Dihuang Yinzi group and the donepezil group showed increased DCX expression （P<0.05， P<0.01）. The medium- and high-dose Dihuang Yinzi groups and the donepezil group showed up-regulation in the protein levels of GluA1， PKA， p-CREB/CREB， PSD95， SYN， and GAP-43 （P<0.05， P<0.01） and down-regulation in the protein level of SIRT2 （P<0.01）. ConclusionDihuang Yinzi can improve the cognitive function in the mouse model of learning and memory impairments induced by SCOP by inhibiting the upregulation of SIRT2， activating the PKA/CREB signaling pathway， improving synaptic plasticity， and reducing hippocampal neuronal damage.