OBJECTIVETo evaluate the correlation of neutral alpha-glucosidase in seminal plasma with the location of epididymal obstruction in azoospermia men.

METHODSWe detected neutral alpha-glucosidase activity in the seminal plasma of 59 men with obstructive azoospermia followed by determining the location of epididymal obstruction by scrotal exploratory surgery. Then we analyzed the correlation between neutral alpha-glucosidase and the location of epididymal obstructive azoospermia.

RESULTSAmong the total number of patients, there were 25 cases of bilateral cauda epididymal obstruction, 15 bilateral corpus, 12 bilateral caput, 4 unilateral caput-opposite cauda, and 3 unilateral corpus-opposite cauda. The neutral alpha-glucosidase levels in the seminal plasma of bilateral cauda, corpus and capus epididymal obstructions were (4.1 +/- 1.9), (13.8 +/- 4.4) and (46.8 +/- 19.3) mU per ejaculate, respectively, with statistically significant differences among the three groups (P < 0.05).

CONCLUSIONNeutral alpha-glucosidase activity is significantly correlated with the location of epididymal obstruction in azoospermia men, which helps to locate epididymal obstruction, evaluate surgical prognosis and reduce the time of scrotal exploratory surgery.

Adult ; Azoospermia ; enzymology ; pathology ; Epididymis ; pathology ; surgery ; Humans ; Male ; Semen ; enzymology ; alpha-Glucosidases ; metabolism

Objective To evaluate the rationality of the number of configured monitors based on error back propagation(BP)neural network.Methods A BP neural network model was established with the number of the equipment in use as the output result and the average number of inpatients,the average number of operations,the average days of hospitalization,the number of scrapped equipment,the average age of equipment and times of equipment maintenance as the input indicators.The data of 9 internal medicine departments in the whole year of 2020-2021 and the first 2 quarters of 2022 were collected on a quarterly basis as the training set,and the data of the third quarter of 2022 was used as the test set to verify the learning results.The performance of the model was analyzed using the root mean square error,mean absolute error and coefficient of determination.Results The model established behaved well in prediction with the root mean square error between the predicted and expected values of the model being 1.135 7,the mean absolute error being 0.893 72 and the coefficient of determination being 0.958 71.Conclusion The BP neural network-based evaluation is feasible for the number of configured monitors,and guidance is provided for the optimized configuration of the equipment.[Chinese Medical Equipment Journal,2023,44(9):14-18]

This paper reiviewed the current situation of quality control of grape seed extract in domestic and international market. Considering the fact that there is no national or industrial technical specifications established for the extract product, the authors suggested that two sets of quality specifications should be established for the grape seed extract. The two sets of specifications are: the high purity grape seed extract should contain polyphenol NLT 95%, monomer NLT 10%; and the grape seed extract with ordinary quality should have a procyanidolic value NLT 95, and monomer NLT 6%.
Antioxidants ; chemistry ; isolation & purification ; standards ; Biflavonoids ; analysis ; isolation & purification ; Catechin ; analysis ; isolation & purification ; Flavonoids ; analysis ; isolation & purification ; Phenols ; analysis ; isolation & purification ; Plant Extracts ; chemistry ; isolation & purification ; standards ; Polyphenols ; Proanthocyanidins ; analysis ; isolation & purification ; Quality Control ; Seeds ; chemistry ; Vitis ; chemistry

This paper reviewed the phytochemical and pharmacological research progress in Leontopodium medicinal plants, including the resource distribution, the chemical constitutes, the pharmacological activities and clinical application. The review has provided some information for the study and development of Leontopodium medicinal plants in future.
Amaryllidaceae Alkaloids ; isolation & purification ; Animals ; Anti-Inflammatory Agents, Non-Steroidal ; pharmacology ; therapeutic use ; Asteraceae ; chemistry ; Drugs, Chinese Herbal ; isolation & purification ; pharmacology ; therapeutic use ; Flavanones ; isolation & purification ; Humans ; Isoquinolines ; isolation & purification ; Nephritis ; drug therapy ; Oils, Volatile ; isolation & purification ; Phytotherapy ; Plants, Medicinal ; chemistry

OBJECTIVETo study on effects of injection of Huangqi Injectio into Zusanli (ST 36) on the hospital infection and immune function in the patient of schizophrenia.

METHODSThirty inpatients of chronic schizophrenia were treated with injection of Huangqi Injectio into bilateral Zusanli (ST 36), 2 mL each point, thrice each week, for 8 weeks. Relative immune indexes and the hospital infection were investigated.

RESULTSThe hospital infection and the sub-infection were 4 cases (13.3%), 7 cases-times (23.3%) in the injection group; and 9 cases (15.0%), 19 cases-times (31.7%) in the control group, respectively, with no significant difference between the two groups (P>0.05). The drug-administration duration was 7.77 days/case and 11.87 days/case in the two groups, respectively (P<0.01). In the injection group, as compared with that of last 3 years the duration was 7.77 days/case and 14.08 days/case (P<0.01). IgG, IgA, IgM and T-cell subgroups did not have significant changes, but there was the most different value before and after injection in SIL-2R of the no-infection group, and the longer the drug administration duration, the smaller the different values.

CONCLUSIONInjection of Huangqi Injectio into Zusanli (ST 36) has definite effect for prevention of the hospital infection in inpatients of chronic schizophrenia, and SIL-2R is a valuable index for investigation of the hospital of infection.

Acupuncture Points ; Adult ; Aged ; Astragalus Plant ; Cross Infection ; prevention & control ; Drugs, Chinese Herbal ; administration & dosage ; Humans ; Immunoglobulins ; blood ; Male ; Middle Aged ; Receptors, Interleukin-2 ; blood ; Schizophrenia ; immunology ; T-Lymphocyte Subsets ; immunology

Aim To observe the effect of thalidomide on the learning and memory ability and hippocampal tissue proteome of Alzheimer's disease(AD)mice,to screen the differential proteins of thalidomide in preventing and treating AD,the pathways involved in regulation,and to explore its possible mechanism. Methods The experimental mice were randomly divided into blank control group,model group,and thalidomide high and low dose groups. The drugs were administered by gavage every day for 21 days. After the administration,Morris water maze test was used to evaluate the learning and memory abilities of the mice,HE staining and Nissl staining were used to observe the pathological tissue morphology of the mouse hippocampus,ELISA was employed to detect the mitochondrial respiratory chain enzyme complex in mouse brain,and the Label-free proteomics method was used to screen different groups of hippocampal proteome proteins. Results The results of the Morris water maze showed that compared with the model group,the escape latency time of the drug group was significantly reduced,and the number of crossing the platform significantly increased(P<0.05). Thalidomide administration could improve the morphological structure of neurons in hippocampus,and could increase the activity of the mitochondrial respiratory chain complex ,Ⅱ, and of the brain tissues of AD mice(P<0.05). A total of 4 378 differential proteins were identified,which had a significant regulatory effect on the expression of 580 proteins in hippocampus of AD mice(P<0.05). Energy metabolism may jointly participate in the regulation of neurodegeneration pathways-changes in pathways such as various diseases and Alzheimer's disease. Conclusions Thalidomide can significantly improve the learning and memory function of AD model mice induced by Aβ

Accurate and efficient methods for identifying and tracking each animal in a group are needed to study complex behaviors and social interactions. Traditional tracking methods (e.g., marking each animal with dye or surgically implanting microchips) can be invasive and may have an impact on the social behavior being measured. To overcome these shortcomings, video-based methods for tracking unmarked animals, such as fruit flies and zebrafish, have been developed. However, tracking individual mice in a group remains a challenging problem because of their flexible body and complicated interaction patterns. In this study, we report the development of a multi-object tracker for mice that uses the Faster region-based convolutional neural network (R-CNN) deep learning algorithm with geometric transformations in combination with multi-camera/multi-image fusion technology. The system successfully tracked every individual in groups of unmarked mice and was applied to investigate chasing behavior. The proposed system constitutes a step forward in the noninvasive tracking of individual mice engaged in social behavior.
Animals ; Mice ; Deep Learning ; Zebrafish ; Algorithms ; Neural Networks, Computer ; Social Behavior