1.Effect of swimming training on the motor behavior and expression of BDNF and trkB in adrenal body
Yuan YUAN ; Hangping WANG ; Xiaoming ZHAO ; Dawei LI ; Hua LIU ; Juan LIU ; Zhenwu SUN ; Longhui ZHOU ; Qiqin DAN ; Tinghua WANG
Chinese Journal of Behavioral Medicine and Brain Science 2012;21(7):638-640
ObjectiveTo explore the effect of swimming on motor behavior and expression of brain derived neurotrophic factor(BDNF) and trkB in adrenal body.MethodsSD adult rats were divided into normal cotrol group and swimming group ( n=10 in each group).All rats in swimming group were subjected 6 weeks swimming for 1h each day.Motor performances including swimming speed and distance were recorded and expression of BDNF and trkB in adrenal body was measured.ResultsThere was a significant increase in swimming speed ( ( 157 ± 60) m/min) and distance ( (283.36 ±49.50)m) in swimming group,compared with control group ( (283± 60) m/min,( 156.92 ± 29) m) (P < 0.05 ).Simultaneously,expression of BDNF in adrenal body had been significantly unregulated (0.93 ± 0.09 vs 0.56 ± 0.19 ) (P < 0.05 ),while expression of trkB kept to be not changed.ConclusionSwimming increases notor ability in rats,and the possible mechanism may be related the upregulation of BDNF in adrenal body.
2.Association between MPV,PDW,PCT and Cardiac Function in Patients with Pulmonary Hypertension
Yan QIU ; Yinli WANG ; Mengmeng YANG ; Liangmin GUO ; Longhui YUAN
Journal of Kunming Medical University 2023;44(12):121-126
Objective To study the association between mean platelet volume(MPV),platelet distribution width(PDW)and procalcitonin(PCT)and cardiac function in patients with pulmonary hypertension(PH)and their diagnostic value on heart failure.Methods 103 patients with PH(PH group)in the 3rd People's Hospital of Chengdu from October 2021 to October 2022 and 103 healthy subjects with physical examination(control group)were selected as study subjects.Fasting peripheral venous blood was collected on the 1st day of admission and MPV,PDW and PCT were detected.The left ventricular ejection fraction(LVEF)was measured and the cardiac function was evaluated by New York Heart Association(NYHA)grading criteria.The patients with PH were divided into failure group and non-failure group according to the diagnosis results of heart failure.The relations of MPV,PDW and PCT with cardiac function in patients with PH and the diagnostic value on heart failure were analyzed.Results The levels of MPV,PDW,and PCT were all higher in the experimental group compared to the control group,while the LVEF was lower,and these differences were statistically significant(P<0.05);as the NYHA classification increased,the levels of MPV,PDW,and PCT showed an increasing trend,while LVEF showed a decreasing trend,and the differences between the groups were statistically significant(P<0.05);in the heart failure group n = 65,the levels of MPV,PDW,and PCT were higher compared to the non-heart failure group n = 38,while LVEF was lower,and these differences were statistically significant(P<0.05).The levels of MPV,PDW,and PCT werr signifi-cantly positively correlated with NYHA functional classification and LVEF(P<0.05).The levels of MPV,PDW,and PCT had good reference value for the diagnosis of heart failure in PH patients,with AUC values of 0.816,0.897,and 0.825 respectively,and the combined diagnostic AUC is 0.952,which wass statistically different from the application of the three indicators alone(P<0.05).Conclusion RDW,PDW and PCT are closely related to cardiac function in patients with PH,and can provide reference information for diagnosis and treatment of heart failure in patients with PH.
3.Survival evaluation and external validation of prognostic scores in postoperative patients with spinal metastasis of lung cancer
Guoqing ZHONG ; Xiaolan WANG ; Jielong ZHOU ; Yue HE ; Longhui ZENG ; Juning XIE ; Huahao LAI ; Yuan YAN ; Mengyu YAO ; Shi CHENG ; Yu ZHANG
Chinese Journal of Orthopaedics 2022;42(24):1605-1614
Objective:To analyze the prognostic factors and evaluate the accuracy of existing survival prediction models in patients with lung cancer-derived spinal metastases who have undergone open surgery.Methods:According to the inclusion criteria, the data of 76 patients with spinal metastasis of lung cancer who underwent open surgery in the department of Orthopedics in Guangdong Provincial People's Hospital were collected from January 2019 to November 2021. The relationship between the number of bone metastasis, pathological type, visceral metastasis, epidermal growth factor receptor mutation, serum alkaline phosphatase (ALP), hemoglobin (Hb), Frankel grade and postoperative survival time in 76 cases was analyzed by Cox logical regression analysis and Kaplan-Meier method to determine the potential prognostic factors. The accuracy of Tomita score, Tokuhashi revised score, Katagiri New score, New England Spinal Metastasis Score score (NESMS) and Skeletal Oncology Research Group (SORG) machine learning algorithm in predicting postoperative survival time was verified by drawing receiver operating characteristic (ROC) curve.Results:The median follow-up time of the patients was 18.0 months (2.3-36.0 months). The median survival time was 12.6 months [95% CI (10.8, 14.4)]. The survival rates at 6 and 12 months after operation were 71.6% and 52.0%, respectively. Multivariate regression analysis showed that ALP [ HR=0.23, 95% CI (0.11, 0.48), P<0.001], Hb [ HR=4.48, 95% CI (2.07, 9.70), P< 0.001] and EGFR mutation [ HR=2.22, 95% CI (1.04, 4.76), P=0.040] were independent predictors of prognosis. The accuracy of Tomita score, Tokuhashi revised score (2005), Katagiri New score and NESMS score in predicting 1-year mortality was 58.7%, 65.7%, 70.5% and 65% respectively, and the accuracy in predicting 6-month mortality was 63.7%, 62.2%, 61.2% and 56.8% respectively. The accuracy of SORG machine learning algorithm in predicting 1-year and 90 d mortality was 81.1%, 67.5%, respectively. Conclusion:No EGFR mutation, ALP>164 U/L and Hb≤125 g/L were risk factors affecting the survival of patients with spinal metastasis of lung cancer. SORG machine learning algorithm has good accuracy in predicting the postoperative survival rate of patients with lung cancer spinal metastasis.
4.Hematological characteristics and current situation of chronic mountain sickness among Tibetan residents in extremely high altitude area of Ali
Yuanwu ZOU ; Zhimin YUAN ; Xiaoxing LIU ; Longhui LAN ; Lamu CIREN ; Chunyan SONG ; Erli SHI ; Lingxia ZENG
Journal of Xi'an Jiaotong University(Medical Sciences) 2022;43(6):895-900
【Objective】 To clarify the hematological characteristics and current situation of chronic mountain sickness among Tibetan residents in extreme high altitude area (more than 5 000 m above the sea level) of Ali district based on the analysis of physical examination and blood test results. 【Methods】 Totally 250 Tibetan residents were selected by convenient sampling for blood oxygen saturation (SpO