ABSTRACT
Objective:To explore the differences in plasticity mechanism of cortical structure between hemispheres during rehabilitation for stroke patients at subacute stage. Methods:From October 20, 2018 to February 1, 2020, 22 patients with first-onset subcortical ischemic stroke completed the assessments of MRI and clinical evaluation at admission, and after one and two months of rehabilitation. Cortical surface area, thickness, and volume were measured to evaluate cortical structure plasticity. Two-way repeated measures analyses of variance were implemented to estimate dynamic cortical morphology changes and differences between hemispheres. Results:A significant time effect occurred between admission and after one month of rehabilitation for both hemispheres. Cortical surface area, thickness and volume for most regions in both hemispheres gradually decreased, while parahippocampal gyrus thickness and volume increased. The surface area and volume of postcentral gyrus was significant between both hemispheres (F > 4.305, P < 0.05), in which ipsilesional hemisphere was lower than contralesional hemisphere. The reduction of the thickness (r = -0.474, P = 0.026) and volume (r = -0.432, P = 0.044) of postcentral gyrus in ipsilesional hemisphere was negatively correlated with the recovery rate of motor function. Conclusion:There are differences in cortical structure plasticity during stroke rehabilitation between hemispheres. Cortical morphology markedly changes in the first two months poststroke. The greater the reduction in thickness and volume of postcentral gyrus in ipsilesional hemisphere is, the worse the recovery of motor function may be.
ABSTRACT
The quality of traditional Chinese medicine (TCM) is the lifeline for TCM industry. The development of artificial intelligence (AI) has provided new means for the quality management of Chinese medicinal materials (CMM). In this paper, we take the quality marker (Q-marker) as a breakthrough point, focused on the research strategy from chemical markers to Q-markers, picked up the characteristics of the Q-markers from the near infrared spectrum (NIRS), and explored the feasibility of establishing the NIRS assay based on Q-marker. After integrated the biological activity detection and artificial neural network algorithm, we try to establish the relationship between the spectral properties of NIRS and specific efficacy of the CMM. Finally, the bottlenecks will be solved that related to the transmission and traceability of quality attributes in the process of TCM production, quantity change, overall quality management and so on. This system is going to improve TCM quantity scientific and intelligent supervision, and promote the upgrading of traditional TCM industry.
ABSTRACT
Property and flavor theory of traditional Chinese medicine (TCM) is the core base for clinical treatment of diseases. However, few research about its chemical and biological characterization was performed. In this paper, network pharmacology was adopted to review patterns around the theory of TCM. "Xiaoke" prescription database, which combinations of herb medicines for diabetes therapy, was firstly built to explore prescription regularity and screen core paired-components. The prescription regularity and molecular mechanism of flavor composition were explored through the relationship of "drug-compound-target-pathway-function" by ChEMBL, CTD and KEGG datebase. As a result, the tastes of "Gan" (sweetish taste) and "Ku" (bitter taste) were the popular therapeutic flavor to regulate the disorder of glucose and lipid metabolisms. The mechanism of Xiaoke was summarized from representative traditional Chinese medicine partner "Zhimu-Huangbai" and "Huangqi-Gegen". The key components of "Gan", including saponins stimulated insulin secretion, improve insulin resistance and promote glucose utilization. The components of "Ku", including flavonoids and alkaloids regulate inflammatory cytokines, promoted the utilization of glucose, improve endocrine and metabolism through MAPK, PI3K-Akt, PPAR signal pathway. The TCM therapeutic mechanism about "Xiaoke" was preliminarily summarized to clear "heat" by anti-inflammation and immunoregulation, to regulate glucolipid metabolism for removing the satiation of digestion, and to improve the utilization of insulin and diabetes complications for endocrine adjusting. The results demonstrate that therapeutic principle of TCM for "Xiaoke" is comprehensive via multi pathway. This study provides a new research method and strategy for exploring the mechanism of TCM for diabetes therapy.
ABSTRACT
In recent years, the research object of traditional Chinese medicine(TCM) analysis has not just been limited to the common analysis technology, but focused on the key relationship between chemical ingredients and traditional functions, including Chinese material medica (CMM) attributes, chemical substance and biological function. Near infrared spectroscopy (NIR) analysis technology, due to its unique advantages, has been developed rapidly in the field of pharmaceutical analysis, especially in the TCM analysis. NIRS can reflect the global chemical information comprehensively, and this holistic approach can be used for the identification and cluster analysis of CMM. On the other hand, inspiring by the concept of TCM quality markers (Q-markers), by means of the activity screening assay of the key components from the CMM, multiple bioactive components quantitation can be achieved by the NIRS combined with chemometrics. Taking the full advantage of the NIR technology, a simple and reliable method for the fast evaluation of the quality of TCMs can be provided. Therefore, the progress and trend of modern TCM quality evaluation by NIR are discussed and prospected in the present review.
ABSTRACT
This study aims to clarify out the anti-inflammatory mechanism of Qingfei Xiaoyan Wan. Chemical constituents of Qingfei Xiaoyan Wan identified by UPLC Q-TOF, were submit to Molinspiration, PharmMapper and KEGG bioinformatics softwares for predicting their absorption parameters, target proteins and related pathways respectively; and the gene chip and real time-PCR were carried out to investigate the expression of inflammatory genes on lung tissue of guinea pigs or human bronchial epithelial cell lines. The predicted results showed that 19 of the 24 absorbable constituents affected at 9 inflammation-related pathways through 11 protein targets; Qingfei Xiaoyan Wan treatment can significantly reduce the infiltration of cytokines through ERK1 gene and 5 inflammatory pathways (Focal adhesion, Fc epsilon RI, Toll-like receptors, NK cell-mediated cytotoxic, and ERK/MAPK). The results of real time-PCR further confirmed that the anti-inflammatory effects of Qingfei Xiaoyan Wan were due to active ingredients such as arctigenin, cholic acid and sinapic acid intervened focal adhesion, Fc epsilon RI signaling and ERK/MAPK pathways. The novel approach of 'drug-target-pathway' will present an effective strategy for the study of traditional Chinese medicines.