Literature DB >> 32244028

Network topology and machine learning analyses reveal microstructural white matter changes underlying Chinese medicine Dengzhan Shengmai treatment on patients with vascular cognitive impairment.

Hui Lu1, Junying Zhang2, Ying Liang3, Yanan Qiao4, Caishui Yang5, Xuwen He5, Wenxiao Wang5, Shaokun Zhao5, Dongfeng Wei2, He Li2, Weidong Cheng6, Zhanjun Zhang7.   

Abstract

With the increasing incidence of cerebrovascular diseases and dementia, considerable efforts have been made to develop effective treatments on vascular cognitive impairment (VCI), among which accumulating practice-based evidence has shown great potential of the traditional Chinese medicine (TCM). Current randomized double-blind controlled trial has been designed to evaluate the 6-month treatment effects of Dengzhan Shengmai (DZSM) capsules, one TCM herbal preparations on VCI, and to explore the underlying neural mechanisms with graph theory-based analysis and machine learning method based on diffusion tensor imaging (DTI) data. A total of 82 VCI patients were recruited and randomly assigned to drug (45 with DZSM) and placebo (37 with placebo) groups, and neuropsychological and neuroimaging data were acquired at baseline and after 6-month treatment. After treatment, compared to the placebo group, the drug groups showed significantly improved performance in Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-cog) score (p < 0.001) and the other cognitive domains. And with the reconstruction of white matter structural network, there were more streamlines connecting the left thalamus and right hippocampus in the drug groups (p < 0.001 uncorrected), with decreasing nodal efficiency of the right olfactory associated with slower decline in the general cognition (r = -0.364, p = 0.048). Moreover, support vector machine classification analyses revealed significant white matter network alterations after treatment in the drug groups (accuracy of baseline vs. 6-month later, 68.18 %). Taking together, the present study showed significant efficacy of DZSM treatment on VCI, which might result from white matter microstructure alterations and the topological changes in brain structural network.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dengzhan Shengmai capsule; Diffusion tensor imaging; Graph theory analysis; Structural brain network; Traditional Chinese medicine; Vascular cognitive impairment

Mesh:

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Year:  2020        PMID: 32244028     DOI: 10.1016/j.phrs.2020.104773

Source DB:  PubMed          Journal:  Pharmacol Res        ISSN: 1043-6618            Impact factor:   7.658


  3 in total

1.  Effect and Mechanism of Yisui Fuyongtang (YSFYT) Decoction on Cognitive Function and Synaptic Plasticity in Rats with Vascular Cognitive Impairment.

Authors:  Tingliang Gong; Zhaoliang Luo; Li Huang; Caixian Xiao; Junlu Yi; Junfeng Yan; Qian Chen; Weihong Li; Wenqiang Tao
Journal:  J Immunol Res       Date:  2022-07-08       Impact factor: 4.493

2.  Chemical composition and pharmacological mechanism of Qingfei Paidu Decoction and Ma Xing Shi Gan Decoction against Coronavirus Disease 2019 (COVID-19): In silico and experimental study.

Authors:  Ruocong Yang; Hao Liu; Chen Bai; Yingchao Wang; Xiaohui Zhang; Rui Guo; Siying Wu; Jianxun Wang; Elaine Leung; Hang Chang; Peng Li; Tiegang Liu; Yi Wang
Journal:  Pharmacol Res       Date:  2020-04-29       Impact factor: 7.658

3.  A fuzzy logic-based computational method for the repurposing of drugs against COVID-19.

Authors:  Yosef Masoudi-Sobhanzadeh; Hosein Esmaeili; Ali Masoudi-Nejad
Journal:  Bioimpacts       Date:  2021-08-10
  3 in total

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