ABSTRACT
BACKGROUND:Exercise has a regulatory effect on intestinal flora dysbiosis,which can effectively protect the beneficial flora and improve the intestinal environment.However,the effect of treadmill exercise on the structure and diversity of intestinal microbial community in Parkinson's disease and the specific mechanism are not clear. OBJECTIVE:Using 16S rDNA technique to analyze the effect of treadmill exercise on the structure and diversity of the intestinal flora of rats with Parkinson's disease,and to investigate the mechanism of non-pharmacological treadmill exercise to improve Parkinson's disease. METHODS:Twelve of the 18 Sprague-Dawley rats were randomly selected to make animal models of Parkinson's disease using unilateral 2-point nigrostriatal injection of 6-hydroxydopamine.The remaining six rats were used as sham-operation group,which were injected with the same dose of saline containing 0.2%ascorbic acid using the same positioning and injection method.After successful modeling,12 rats with Parkinson's disease were randomly divided into model group and treadmill exercise group(n=6 per group).The treadmill exercise group was subjected to a middle and low intensity tread mill exercise,10 m/min,30 minutes per day,5 days per week for 4 weeks.Fresh feces were collected and stored in liquid nitrogen 24 hour after the last exercise session,and the changes in fecal flora were analyzed by 16S rDNA sequencing technique. RESULTS AND CONCLUSION:Treadmill exercise significantly improved behavior and nigrostriatal tyrosine hydroxylase-positive cell expression in rats with Parkinson's disease model and alleviated changes in the structure and diversity of the gut microbial community caused by Parkinson's disease,increased the number of operational taxonomic units and modulated Alpha and Beta diversity in rats.At the phylum and genus levels,the abundance ratio of Firmicutes/Bacteroidetes in the model group decreased compared with the sham-operated group,while beneficial bacteria such as Prevotella,Bacteroides,and Clostridium_XlV increased significantly after treadmill exercise.To conclude,treadmill exercise has a significant modulating effect on behavioral abnormalities,toxic damage to dopaminergic neurons and gut microbial imbalance caused by Parkinson's disease,alleviates the symptoms of flora-related diseases,and has a positive effect on the improvement of Parkinson's disease.
ABSTRACT
Purpose@#There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on 18F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in T-LBL. @*Materials and Methods@#Thirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test. @*Results@#The optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm3, and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm3, and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001). @*Conclusion@#Baseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression.
ABSTRACT
Purpose@#There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on 18F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in T-LBL. @*Materials and Methods@#Thirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test. @*Results@#The optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm3, and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm3, and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001). @*Conclusion@#Baseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression.