Objective To investigate the effects of the teaching model of team-based learning (TBL) in the course of TCM Basic Theory.MethodsTotally 61 undergraduates of Class 1-2 in Grade 2013 in Dalian Medical University are divided into 15 groups, three to five students in each group. TBL teaching model was performed in the chapter about Zang-Fu relationship in the course of TCM Basic theory. At the end of the study, the students received the questionnaire survey to know the effects of TBL teaching model.ResultsStudents discussed intensely with lively atmosphere in the class. The pass rate of individual test was 98.36%, and the excellence rate was 22.95%. The results of immediate feedback answer sheets showed that for the 6 multiple choice questions, each group answered at least 2 questions correctly for the first time, and 5 groups answered all the questions correctly for the first time with the joint efforts of group members.ConclusionTBL teaching model could promote the preview, activate atmosphere in class, improve learning efficiency, and increase the solidarity and collaboration in students.

This study was aimed to explore the mechanism ofZi-Bu Pi-Yin Recipe (ZBPYR) on autophagy and endoplasmic reticulum stress (ERS) to improve spleen-yin deficiency diabetes-associated cognitive decline (DACD). Rats were randomly divided into the control (cont) group, the diabetes (DM) group, the spleen-yin deficiency (pi) group, the spleen-yin deficiency diabetes (piDM) group, and the spleen-yin deficiency diabetes + ZBPYR treatment (ZBPYR) group. The expression of microtubule-associated protein 1A/1B-light chain 3 (LC3Ⅱ), inositol-requiring enzymeα (IRE1α), c-Jun N-terminal kinase (JNK) were observed by western blot. The results showed that the expression of LC3Ⅱ in the DM group, pi group and piDM group decreased compared with the cont group (P < 0.05); and the expression of LC3Ⅱ of the ZBPYR group increased compared with the DM group and piDM group (P < 0.05). Compared with the cont group, the p-IRE1α of the DM group and piDM group, as well as p-JNK1 in the pi group and piDM group were increased (P < 0.05). The p-IRE1α and p-JNK1 of the ZBPYR group were decreased compared with the DM group and piDM group (P < 0.05). It was concluded that ZBPYR improved spleen-yin deficiency DACD by regulating autophagy and ERS.

Objective To explore the mechanism of Zibu Piyin Recipe (ZBPYR) on spleen yin deficiency diabetes-associated cognitive disorder (DACD). Methods The rats were randomly divided into control group, diabetes mellitus (DM) group, spleen yin deficiency group, spleen yin deficiency DM group and spleen yin deficiency DM+ZBPYR group (treatment group). Type 2 DM models were established by high-fat food feeding and low dose STZ intraperitoneal injection for 4 weeks. Then the classical compound method was used to construct spleen yin deficiency rat models by improper diet, over exertion and yin fluids exhaustion. The treatment group was given ZBPYR by gavage for 15 days, and the other groups were given the same amount of normal saline. Then cerebral cortex, hippocampus, stomach and liver were obtained and the changes of protein expression of PDHE1α in them were observed by Western Blot. Results The protein expression of PDHE1αin cortex of DM group and spleen yin deficiency DM group were lower than control group (P<0.05). PDHE1α expression of treatment group in cortex and stomach increased more significantly than spleen yin deficiency DM group (P<0.05). The expression of PDHE1α protein showed no significant difference among all groups in hippocampus and liver. Conclusion ZBPYR improved spleen yin deficiency DACD by regulating PDHE1αin cortex and stomach.

This study was aimed to observe changes of key molecular in insulin signaling pathway in the hypothala-mus of rats to explore the mechanism of spleen yin deficiency diabetes-associated cognitive decline (DACD) and Zibu Piyin Recipe (ZBPYR) in order to provide new ideas and new clues for treatment of DACD. Rats were randomly divided into five groups, which were the control (Cont) group, diabetes (DM) group, spleen yin deficiency (pi) group, spleen yin deficiency diabetes (piDM) group and the ZBPYR group. Insulin receptor substrate 1 (IRS-1) serine phos-phorylation levels and protein kinase B (PKB/Akt) serine phosphorylation levels which were involved in the insulin signaling were observed by western blotting in the hypothalamus to determine whether there were insulin signaling obstacles in the hypothalamus of rats. The results showed that the expression of p-IRS-1ser in the DM group, pi group and piDM group was increased compared with the Cont group (P< 0.05); while the p-Akt expression of the DM group and piDM group was decreased (P< 0.05). The expression of p-IRS-1ser in the ZBPYR group decreased compared with the DM group and piDM group (P< 0.05); while the level of p-Akt increased compared with the DM group and piDM group (P < 0.05). It was concluded that insulin signaling was not transduced normally in the hy-pothalamus of the DM group, pi group and piDM group. Insulin resistance may occur in the hypothalamus. And ZBPYR can correct insulin signaling transduction disorder.

This study was aimed to observe different forms of β-amyloid peptide (Aβ) and insulin degrading enzyme (IDE) in the hippocampus and cortex in order to further explore the role of Aβ and IDE on spleen yin deficiency di-abetes-associated cognitive decline (DACD), and the effect of Zi-Bu Pi-Y in method. The rats were randomly divided into five groups, which were the blank control (Cont) group, diabetes (DM) group, spleen yin deficiency (pi) group, spleen yin deficiency diabetes (piDM) group and Zi-Bu Pi-Y in recipe (ZBPYR) group. Soluble and insoluble Aβ in the hippocampus and cortex of rats were extracted by gradient centrifugation, and then measured by ELISA. The ex-pression of IDE was observed by western blot. The results showed that the content of soluble and insoluble Aβ1-42 in the hippocampus and cortex of the DM group and piDM group were higher than the Cont group. The soluble and in-soluble Aβ1-42 content in the hippocampus and cortex of the ZBPYR group were reduced compared with the DM group and the piDM group. The soluble Aβ1-40 in the cortex of the DM group, pi group and piDM group were in-creased compared with the Cont group (P < 0.05). The soluble Aβ1-40 content of the ZBPYR group was decreased compared with the DM group and the piDM group (P < 0.05). The expression of IDE protein was decreased in the hippocampus of the DM group and the piDM group compared with the Cont group (P< 0.05), and the IDE protein level in the hippocampus of the ZBPYR group was increased compared with the DM group and the piDM group (P<0.05). The expression of IDE protein in the cortex of the DM group, pi group and piDM group was lower than the Cont group (P< 0.05). The IDE protein level in the cortex of the ZBPYR group was reduced compared to the DM group (P< 0.05). It was concluded that the increased Aβ1-42 in brain may be a major pathological change of DACD and spleen yin deficiency DACD. The decreased IDE expression may be one of the reasons to induce increasing of Aβ1-42 level. The Zi-Bu Pi-Y in method may decrease the Aβ1-42 content by upregulating IDE protein expression.

Objective To clarify the pathogenesis of spleen yin deficiency diabetes-associated cognitive decline (DACD) and mechanism of Zinu Piyin Recipe (ZBPYR) by observing the expression of phosphorylated RNA-dependent protein kinase-like endoplasmic reticulum kinase (PERK), eukaryotic initiation factor 2α subunit (eIF2α), p-eIF2α, glucose-regulated protein 78 (GRP78) in cerebral cortex of spleen yin deficiency diabetes mellitus rats. Methods The rats were randomly divided into control group, diabetes mellitus group, spleen yin deficiency group, spleen yin deficiency diabetes mellitus group (disease-syndrome group) and spleen yin deficiency diabetes mellitus+ZBPYR group (treatment group). Type 2 diabetes mellitus models were established by high-fat food feeding for 4 weeks and low dose STZ intraperitoneal injection. Then the classical compound method was used to construct spleen yin deficiency rats model by improper diet, over exertion and yin fluids exhaustion. The reatment group was given ZBPYR and other groups were given equal volume of normal saline for 15 days, then cerebral cortex was obtained. The expression of p-PERK, p-eIF2α, eIF2α and GRP78 were observed by Western Blot and RT-PCR. Results The protein expression of p-PERK, p-eIF2α, and mRNA expression of GRP78 of diabetes mellitus group, spleen yin deficiency group and disease-syndrome group was enhanced compared with control group (P<0.05). GRP78 protein expression of diabetes mellitus group, disease-syndrome group was increased compared with control group (P<0.05). The protein expression of p-PERK, p-eIF2α, GRP78 and mRNA expression of GRP78 of treatment group was decreased compared with diabetes mellitus group and disease-syndrome group (P<0.05). Conclusion Endoplasmic reticulum stress is involved in spleen yin deficiency DACD. ZBPYR improves learning and memory ability by reducing endoplasmic reticulum stress.

Objective:To investigate the application value of joint friction sounds in diagnosing meniscus injury of the knee based on machine learning models.Methods:A case-control study was conducted to analyze the clinical data of 17 patients with meniscus injury of the knee (meniscus injury group) admitted to Sir Run Run Shaw Hospital Affiliated to Nanjing Medical University from August 2020 to October 2022, as well as 75 recruited healthy subjects without knee joint diseases (healthy group). The knee joint friction sounds of the subjects were collected in a relatively quiet environment (peak value below 40 dB). The sounds collected in a flexion-extension-flexion mode of exercise were split and divided randomly with a ratio of 4∶1 into the training set (125 segments from the meniscal injury group and 187 segments from the healthy group) and the test set (33 segments from the meniscal injury group and 47 segments from the healthy group). The sounds obtained in a sit-stand-sit mode of exercise were split and divided randomly with a ratio of 4∶1 into the training set (81 segments from the meniscal injury group and 164 segments from the healthy group) and the test set (20 segments from the meniscal injury group and 40 segments from the healthy group). Four machine learning models were built, including support vector machine with linear kernels, radial basis function support vector machine, random forest, and extremely randomized trees. The learning training of the model was performed on the training set, and its model performance was verified with the test set. The time required in a single collection of joint friction sound from the subjects and the interpretation of data analysis was recorded. Knee function of the subjects were scored according to the Lysholm Score before and at 1 day after the test. The accuracy rates of diagnosis of meniscus injury with friction sounds under the two modes of exercise were compared based on the test results to yield an optimal one. The effectiveness of the four models was compared to find the best machine learning model fitting the data frame of this study according to the test results such as accuracy, sensitivity, specificity, F1 score, and area under the receiver operating characteristic curve (AUC) obtained with the optimal mode of exercise. The diagnostic accuracy, misdiagnosis rate and missed diagnosis rate of joint friction sound for meniscal injury under the optimal machine learning model with the optimal mode of exercise were observed.Results:The time required in a single collection of joint friction sound ranged from 5 to 10 minutes [(7.1±1.3)minutes], when the time required for interpretation of data analysis was approximately 1 minute. The Lysholm Score before and after the test was (75.6±4.0)points and (77.7±3.7)points respectively in the meniscal injury group ( P>0.05), and (99.6±0.9)points and (99.5±1.0)points respectively in the healthy group ( P>0.05). The diagnosing accuracy rates for flexion-extension-flexion of exercise and sit-stand-sit modes of exercise were 0.775 and 0.817 under the support vector machine model with linear kernels; 0.813 and 0.900 under the radial basis function support vector machine model; 0.800 and 0.867 under the random forest model; 0.800 and 0.900 under the extremely randomized tree model. The accuracy rates for sit-stand-sit mode of exercise were all higher than those for flexion-extension-flexion mode of exercise. In the sit-stand-sit mode of exercise, the extremely randomized tree model had an accuracy rate of 0.900, sensitivity of 0.900, specificity of 0.950, F1 score of 0.900, and AUC of 0.942, which were higher than those under the remaining 3 models, showing better machine learning efficacy. Under the extremely randomized tree model in the sit-stand-sit mode of exercise, 22 (18 true positive and 4 false positive) were diagnosed as meniscal injury and 38 (36 true negative and 2 false negative) as healthy out of 60 segments in the test set (20 from the meniscal injury group and 40 from the healthy group). The diagnostic accuracy of joint friction sounds in diagnosing meniscus injury of the knee was 0.900, with the misdiagnosis rate of 0.100 and the missed diagnosis rate of 0.100. Conclusion:Diagnosis of meniscus injury of the knee with joint friction sounds can shorten time and enhance safety during the examination process. The diagnostic model using machine learning-based artificial intelligence is faster and more stable, which can be used as a diagnostic marker for such injury.