40 years, old group) without prostate diseases, underwent MRI and MRS examinations. The peripheral zone (PZ) and central gland (CG) of the prostate were distinctly demonstrated on MRI, the right and left side of PZ and CG were divided into bottom, middle and tip regions,totally 12 samples were obtained from each case. The levels of (Cho+Cre)/Cit ratios were calculated on the basis of the MRS metabolic map. Results ①The mean level of (Cho+Cre)/Cit ratios in PZs and CGs of different regions in young group and old group was not significantly different. Statistically significant variation of the (Cho+Cre)/Cit ratio in PZs and CGs in the two groups was detected. ②The mean level of (Cho+Cre)/Cit ratios of PZs between young group and old group was not significantly different. Only Statistically significant variation of (Cho+Cre)/Cit ratios in CGs between two groups was detected. Conclusion The normal levels of prostatic metabolites fluctuate dramatically among individuals. There is metabolic difference between the peripheral and central zone and that of young and old group.

There are still many existing problems in the training of medical undergraduates and microsurgery talents in China, such as lack of scientific research ability and scientific literacy of medical undergraduates, insufficient practical ability, short of scientific research opportunities for medical undergraduates, and inadequate talent reserve in microsurgery. In view of the above shortcomings, Wannan Medical College has established a training course on microneurosurgery technology for medical undergraduates, and made a preliminary exploration to solve the above problems. Through the training, undergraduates not only improve their practical ability, but also stimulate their interest in microsurgery, which will help them adapt to clinical and scientific research work at an early stage. Neurosurgical microscopic technology training with emphasis on extracurricular expansion as main content, plays an important role in the cultivation of undergraduate microscopic skills, the establishment of basic theories of neurosurgery, the improvement of scientific research accomplishment and the expansion of extracurricular vision.

OBJECTIVE To provide reference for clinically safe and rational drug use through mining and analyzing adverse drug event （AE） signals induced by valproic acid （VPA）. METHODS Reporting Odds Ratio （ROR） and Bayesian Confidence Propagation Neural Network （BCPNN） methods of Measures of Disproportionality were performed to mine and analyze the data of VPA-related AE reports in the US FDA Adverse Event Reporting System （FAERS） database from the first quarter of 2013 to the fourth quarter of 2022. RESULTS A total of 1 253 （ROR） and 1 109 （BCPNN） valid signals of preferred terms （PT） were obtained after data processing by the two analysis methods， involving 27 system organs （SOC）， mainly focusing on nervous system disorders， psychiatric disorders， general disorders and administration site conditions. Signals that did not appear in the instruction were associated with 2 SOCs： ear and labyrinth disorders， infections and infestations. CONCLUSIONS As a first-line broad-spectrum anti-epileptic drug， attention should also be paid to eye toxicity and infection risk in the clinical application in addition to paying attention to common adverse events in the instruction.