The clinical efficacy of the nucleo CMP forte usage in the combined treatment of diabetic peripheral neuropathy

2017 ◽  
Author(s):  
Larysa Martynyuk ◽  
Nadiya Makarchuk ◽  
Mykola Shved ◽  
Lesia Mykhailiv
2020 ◽  
Vol 75 (3) ◽  
pp. 91-96
Author(s):  
M.E. Statsenko ◽  
◽  
L.I. Inina ◽  
A.F. Apukhtin ◽  
S.V. Turkina ◽  
...  

A statistically significant effectiveness (18,42 vs. 2.63 %; p < 0,05) of combined treatment was established by the criterion of the frequency of detection of VAT below 5 points. Non-effective treatment, according to the VAT criterion > 5 points, was found in 30,0 % of combined and 45,0 % of patients with alpha-lipoic acid monotherapy (р < 0,05). The results obtained allow for changes in the generally accepted terms of treatment of diabetic peripheral neuropathy with alpha-lipoic acid.


2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Meixiang Yu ◽  
Xin Song ◽  
Wanhua Yang ◽  
Ziwei Li ◽  
Xiaoqin Ma ◽  
...  

Compound XiongShao Capsule (CXSC), a traditional herb mixture, has shown significant clinical efficacy against diabetic peripheral neuropathy (DPN). However, its multicomponent and multitarget features cause difficulty in deciphering its molecular mechanisms. Our study aimed to identify the key active ingredients and potential pharmacological mechanisms of CXSC in treating DPN by network pharmacology and provide scientific evidence of its clinical efficacy. CXSC active ingredients were identified from both the Traditional Chinese Medicine Systems Pharmacology database, with parameters of oral bioavailability ≥ 30% and drug-likeness ≥ 0.18, and the Herbal Ingredients’ Targets (HIT) database. The targets of those active ingredients were identified using ChemMapper based on 3D-structure similarity and using HIT database. DPN-related genes were acquired from microarray dataset GSE95849 and five widely used databases (TTD, Drugbank, KEGG, DisGeNET, and OMIM). Next, we obtained candidate targets with therapeutic effects against DPN by mapping active ingredient targets and DPN-related genes and identifying the proteins interacting with those candidate targets using STITCH 5.0. We constructed an “active ingredients-candidate targets-proteins” network using Cytoscape 3.61 and identified key active ingredients and key targets in the network. We identified 172 active ingredients in CXSC, 898 targets of the active ingredients, 110 DPN-related genes, and 38 candidate targets with therapeutic effects against DPN. Three key active ingredients, namely, quercetin, kaempferol, and baicalein, and 25 key targets were identified. Next, we input all key targets into ClueGO plugin for KEGG enrichment and molecular function analyses. The AGE-RAGE signaling pathway in diabetic complications and MAP kinase activity were determined as the main KEGG pathway and molecular function involved, respectively. We determined quercetin, kaempferol, and baicalein as the key active ingredients of CXSC and the AGE-RAGE signaling pathway and MAP kinase activity as the main pharmacological mechanisms of CXSC against DPN, proving the clinical efficacy of CXSC against DPN.


Medicine ◽  
2018 ◽  
Vol 97 (6) ◽  
pp. e9828 ◽  
Author(s):  
Xiaotong Wang ◽  
Haixiong Lin ◽  
Shuai Xu ◽  
Yuanlin Jin ◽  
Ren Zhang

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