1.Effects of olfactory bulb lesion on neural stem cells proliferation and expression of NMDA-receptor subunit 2B in the subventricular zone of rats
Qingwei LAI ; Xiaoquan LI ; Xiaohong TANG ; Deqin GENG ; Hongbin FAN ; Xiaolong WANG
Chinese Journal of Behavioral Medicine and Brain Science 2014;23(4):313-316
Objective To investigate the effects of olfactory bulb(OB) lesion on neural stem cells proliferation and expression of NMDA receptor subunit 2B in subventricular zone(SVZ) of rats.Methods Sixty adult female SD rats were randomly divided into normal group,saline group and OB lesion group.OB lesion was induced by N-methyl-D-aspartic acid (NMDA) injection.Each group was respectively divided into four time points including 3 d,7 d,14 d and 28 d.Immunohistochemistry staining was used to detect the number of Nestin,Ki67 and NR2B-positive cells in the SVZ.Results (1) Nestin positive cells in the SVZ were shown at the different time of three groups.Seven days after OB lesion,IOD value of nestin-positive cells began to increase((29601± 1788)/0.01 mm2,P<0.05),reached the maximum at 14 d((49800±3701)/0.01 mm2,P<0.05) and still sustained a high level at 28 day((27600±3209)/0.01 mm2,P<0.05).(2)Ki67 positive cells in the SVZ were shown at the different time of three groups.The number of Ki67-positive cells was increased significantly at 7 d,14 d and 28 d after OB lesion compared to normal group and saline group (P<0.05).(3)NR2B immune expression in the SVZ was shown at the different time of three groups.The NR2B-positive cells increased at 3 d after OB lesion(58.80±2.95,P<0.05),reached the maximum at 14 d(68.40±4.04,P<0.05).At 28 d of OB lesion,the number of positive cells was reduced,but still sustained a high level(62.20±3.56,P<0.05).(4)The positive cells of NR2B and Ki67 were highly positive correlation at different time after OB lesion(r=0.968,P<0.05).Conclusions OB lesion can stimulate neural stem cell proliferation and increases the expression of NR2B.The increased mode of NR2B is in accordance with the schedule of the neural stem cells increase induced by OB lesion.Therefore,it indicates that the NMDA receptor subunit 2B may be involved in neural stem cell proliferation.
2.Correlation between 1H-MRS metabolites in hippocampal and T lymphocyte subsets and cytokines in peripheral blood of patients with temporal lobe epilepsy
Bingbing WANG ; Xin DU ; Qingwei LAI ; Qingyun LI ; Xinyu LI ; Heng WANG ; Peng HU ; Hongbin FAN
Chinese Journal of Behavioral Medicine and Brain Science 2021;30(12):1095-1101
Objective:To analyze the correlation between 1H-MRS in hippocampus and peripheral blood cytokines and T lymphocyte subsets in patients with temporal lobe epilepsy, and to explore the relationship between immune dysfunction and the degree of neuronal injury. Methods:Fifty patients with temporal lobe epilepsy were selected from Affiliated Hospital of Xuzhou Medical University from October 2020 to July 2021.Clinical data of all patients were collected and they were divided into two groups according to MRI results of epileptic sequence: abnormal hippocampal MRI group ( n=20) and normal hippocampal MRI group ( n=30). Bilateral 1H-MRS scanning of hippocampal and detection of T lymphocyte subsets and cytokines in peripheral blood during interictal period were performed in both groups. The levels of hippocampal metabolites NAA, NAA/(Cr+ Cho), T lymphocyte subsets and cytokines in peripheral blood of the two groups were compared.At the same time, the levels of NAA and NAA/ (Cr+ Cho) in the hippocampus on the abnormal side and the normal side in the abnormal hippocampal MRI group were compared within the group. Finally, the correlation between the levels of metabolites NAA, NAA/ (Cr+ Cho) in the hippocampus on the abnormal side obtained by 1H-MRS scanning and T lymphocyte subsets and cytokines in the abnormal group of MRI was analyzed. The data were statistically analyzed by SPSS 26.0 software. Independent sample t-test or Mann-Whitney U test was used for comparison between the two groups. Paired sample t-test was used for intra group comparison of different sides. Spearman correlation analysis was used to analyze the correlation between each index. Results:The NAA and NAA/(Cr+ Cho) values of the abnormal MRI group(normal side NAA: (1.22±0.37), NAA/(Cr+ Cho): (0.56±0.15). abnormal side NAA: (1.02±0.34), NAA/(Cr+ Cho): (0.48±0.13)) were significantly lower than those of the normal MRI group (NAA: (1.51±0.36), NAA/(Cr+ Cho): (0.73±0.19))(NAA: t=2.705, 4.800, both P<0 05; NAA/(Cr+ Cho): t=3.394, 4.914, both P<0 05). The values of NAA and NAA/(Cr+ Cho) in the abnormal side in the MRI abnormal group were significantly lower than those in the normal side( t=6.467, P<0 05). The levels of IL-1β(11.19(3.56, 20.98)pg/ml), IL-5 (3.12(1.86, 6.41)pg/ml), TNF-α(2.55(1.19, 8.28)pg/ml), CD4+ T lymphocytes((43.13±6.82)%) and Th/Ts((1.96±0.66)) in the hippocampal MRI abnormal group were significantly higher than those in normal MRI group (IL-1β: 3.27(1.63, 6.17)pg/ml, IL-5: 1.15(0.96, 2.96)pg/ml, TNF-α: 1.34(1.02, 2.36)pg/ml, CD4+ T: (38.01±7.21)%, Th/Ts: (1.48±0.53))( Z=-3.041, -2.516, -2.496, all P<0.05; t=2.511, 2.810, both P<0 05). The level of CD8+ T ((23.48±5.33)%) in peripheral blood of abnormal MRI group was significantly lower than that of normal group CD8+ T((27.18±6.08)%)( t=2.210, P<0.05). In the abnormal MRI group, the levels of NAA and NAA/ (Cr+ Cho) in the abnormal hippocampus were negatively correlated with the levels of IL-1β, IL-5 and TNF- α ( r=-0.612--0.463, all P<0.05), and positively correlated with CD8+ T lymphocytes ( r=0.537, 0.478, P<0.05). Conclusion:There is neuronal damage and dysfunction in the abnormal hippocampal region of patients with temporal lobe epilepsy with abnormal hippocampal formation, and the degree of neuronal damage is highly correlated with CD8+ T lymphocytes, IL-5, IL-1β and TNF-α in peripheral blood. The imbalance of interictal lymphocyte subsets and chronic inflammatory response may play an important role in the pathogenesis of epilepsy and neuronal injury .
3.The role of endoscopic ultrasonogaphy in differentiating between autoimmune pancreatitis and pancreatic cancer
Tao GUO ; Tao XU ; Yamin LAI ; Shengyu ZHANG ; Xi WU ; Dongsheng WU ; Yunlu FENG ; Qingwei JIANG ; Qiang WANG ; Jiaming QIAN ; Aiming YANG
Chinese Journal of Digestive Endoscopy 2022;39(8):621-627
Objective:To investigate the role of endoscopic ultrasonography (EUS) in differentiating between autoimmune pancreatitis (AIP) and pancreatic cancer (PC).Methods:Data of 133 patients with AIP and 113 patients with PC who underwent EUS because of obstructive jaundice at Peking Union Medical College Hospital from January 2013 to December 2018 were retrospectively analyzed in the study, and were randomly divided into either a derivation sample or a validation sample using 1∶1 allocation according to the random number. In the derivation sample, 10 EUS characteristics were used to construct a prediction model to distinguish between AIP and PC, in which predictors were identified by multivariate stepwise logistic regression analysis and predictive efficacy was evaluated by receiver operating characteristics (ROC) curve analysis. The predictive efficacy was assessed in the validation sample. In view of the subjectivity in the judgment of diffuse/focal hypoechogenicity, 2 prediction models were designed in order to avoid bias.Results:By multivariate stepwise logistic regression analysis, diffuse hypoechogenicity ( OR=591.0, 95% CI: 98.8->999.9, P<0.001) and vessel involvement ( OR=11.9, 95% CI: 1.4-260.2, P=0.023) were identified as statistically significant predictors for distinguishing AIP from PC. EUS characteristics excluding diffuse/focal hypoechogenicity were stepped by logistic regression, which showed that hyperechoic foci/strands ( OR=177.3, 95% CI: 18.7->999.9, P<0.001), pancreatic duct dilation ( OR=60.5, 95% CI: 6.2->999.9, P=0.004), bile duct wall thickening ( OR=35.4, 95% CI: 3.7->999.9, P=0.009), lymphadenopathy ( OR=16.8, 95% CI: 1.7-475.2, P=0.038) and vessel involvement ( OR=22.7, 95% CI: 2.0-725.7, P=0.028) were statistically significant predictors to distinguish the two diseases. Both prediction models were built in the derivation sample, with area under the ROC curve of 0.995 and 0.979 respectively. In the validation sample, sensitivity, specificity, accuracy, positive predictive value and negative predictive value of both prediction models were all >90% by using the optimal cutoff value. Even for discrimination between focal AIP and PC, sensitivity and accuracy of both models were >90%, and specificity, positive predictive value and negative predictive value were all >85%. Conclusion:The 2 prediction models have good differential predictive value, and EUS is a useful tool to differentiate between AIP and PC.