Objective To study the effects of prenatal cocaine exposure on the development of offspring's brains by building a murine model. Methods We weighted the body weight and brain weight of offspring on P10 from COC and SAL groups and observed the development of neuron and astrocyte in cerebral cortex by toluidine blue staining and immunohistochemistry. Results The brain weight and body weight from COC were both reduced on P10 compared with SAL group.We discovered prenatal cocaine exposure induced polarity disorder and dysplasia of neuron in cerebral cortex;the number of the astrocytes in corpus callosum and hippocampus regions decreased.Conclusion\ Pregnatal cocaine exposure can result in abnormal development of cerebral cortex of offsprings which may play an important role on cocaine induced abnormal behavior.\;[

AIM To develop a murine model for investigating the effects of prenatal cocaine exposure on the development of fetal nerve system. METHODS A nutritionally paired control group of dams injected with saline and pair fed with the COC dams were set up. Another two groups were COC groups injected with cocaine HCl and SAL group administrated with saline. After injection twice daily during gestation days 8～17,mice were decapitated on E17 and blood and brain samples were collected for pharmacological analysis and neurotransmitter analysis by HPLC.RESULTS Pharmacological analysis revealed that cocaine was found in maternal and fetal plasma at 15 min following ip administration to embryonic day E17 pregnant mice. Though COC dams and SPF dams had the same feeding condition, compared with the latter, the former had higher maternal concentrations of DA and 5 HT, lower fetal weight, brain weight, striatum weight and higher concentrations of DA and 5 HT in striatum, P

AIM To investigate the effects of in utero cocaine exposure on the fetal development, when fetuses were exposed to equal total dose but different dose and timing. METHODS Pregnant dams were randomly separated into three groups: SAL, COC20 and COC40. On E17, recorded body weight, brain weight and striatum weight of all groups, and examined the concentrations of DA and 5 HT in fetal striatum by HPLC. RESULTS Body weight of SAL, COC40, COC20 groups decreased progressively in turns. Brain weight of COC20 group and COC40 group was lower than that of SAL. Only the brain/body ratio of COC40 was decreased ( P

Objective:To systematically evaluate the bias risk and applicability of short-term mortality risk prediction models within 30 days after stroke, providing a basis for selecting or developing standardized risk prediction models.Methods:Research on short-term mortality risk prediction models within 30 days after stroke was electronically retrieved from China National Knowledge Infrastructure, WanFang Data, VIP, and China Biomedical Database, PubMed, Web of Science, Embase, Cochrane Library and CINAHL. The search period was from database establishment to December 5, 2023. Two researchers independently conducted literature screening and quality evaluation.Results:Twelve studies were included, and a total of 31 models were internally validated, with 7 models undergoing external validation based on internal validation. 26 models reported discriminative power, and 18 models reported calibration methods. The most frequent predictors of modeling were age, hypertension, atrial fibrillation, diabetes and admission Glasgow Coma Scale score. Due to methodological problems such as insufficient sample size, improper handling of missing variables, and inadequate reporting of modeling information, all included studies were rated as high risk of bias.Conclusions:The research on short-term mortality risk prediction models for stroke patients is still in the development stage. Although it has good applicability, the risk of bias is relatively high. Future research should be designed and reported based on prediction model risk of bias assessment tool (PROBAST) and transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) to avoid common problems summarized in this study and reduce the risk of bias.