ABSTRACT
Objective:To investigate the effects of Huber 360 neuromuscular control training and evaluation system (Huber 360) on balance dysfunction for patients with stroke. Methods:From January to November, 2020, 16 patients with stroke were randomly assigned to control group (n = 8) and observation group (n = 8). Both groups received routine motor function training, while the observation group accepted Huber 360 training in addition, for three weeks. They were assessed with Berg Balance Scale, Huber 360, 10-meter Walking Test and Timed 'Up & Go' Test before and after training. Results:All the indexes improved after training in both groups (t > 1.368, P < 0.05), and improved more in the observation group than in the control group (t > 2.230, P < 0.05). Conclusion:Huber 360 can promote the recovery of balance for stroke patients.
ABSTRACT
A two-dimensional liquid chromatography method was developed for the analysis of rice leaves proteomics based on the coupling of hydrophilic interaction liquid chromatography-reversed-phase liquid chromatography with online tandem mass spectrometry. The influence of pH value of chromatographic mobile phase on the orthogonality of the hydrophilic interaction-reversed-phase two-dimensional liquid chromatography was evaluated by the changes of standard peptide retention. The results indicated that the better orthogonality (R2=0.34113) was achieved from the system with hydrophilic interaction columns(pH 9.3) in the first and C18columns(pH 3.3) in the second LC dimension. Coupled with multiple fraction concatenation strategy,the orthogonality of two-dimensional liquid chromatography was further evaluated in the analysis of complex rice leaf proteins. The results showed that more than 50% of the total peptides were identified less than two times, and the peptides obtained from first-dimension were well distributed across the elution window,indicating that the method showed significant orthogonality in the identification of complex rice leaf proteins. Based on the proteome discoverer software,207345 peptides belonged to 2930 protein clusters were identified.
ABSTRACT
A metabolic profiling analysis method for metabolomic studies of rice leaf was established based on HSS T3 combined with XBridge Amide Q-TOF LC/MS by comparing the influences of different extraction methods in rice leaves of metabolites. The extraction and separation of rice leaf metabolites using three different methods including methanol-chloroform-water,methanol-chloroform-ammonia,methanol-methyl tert-butyl ether -water and different chromatographic systems were compared by the numbers of peaks, identified metabolites and the metabolic pathways. The results showed that the method of methanol-chloroform-water reached the highest coverage rate of metabolites in rice leaves,and the maximum number of unique metabolites including prephenic acid, luteolin, α-linolenic acid, aconitic acid, gibberellin A12 aldehyde, isovitexin, L-Glutamate were detected. Metabolites with different polarity in rice leaf could be detected by HSS T3 and XBridge Amide. A total of 16 kinds of organic acids, 17 kinds of nucleotides, 21 kinds of amino acids, 66 kinds of fatty acids,11 kinds of phospholipids and 7 kinds of sphingolipids were identified. XBridge Amide had an absolute advantage in detecting phospholipids and sphingolipids. The metabolic pathways involved purine metabolism, pyrimidine metabolism, tricarboxylic acid cycle, arginine metabolism, fatty acid metabolism, phospholipid metabolism, sphingolipid metabolism, phenylalanine metabolism and vitamin B2 synthesis. It showed certain complementarity between the two columns in identifying metabolites and involved the metabolic pathways. The established method is expected to be useful for the metabolomic studies of rice.