scholarly journals Metabonomics study on the effect of traditional Chinese medicines feed addition on growth performance and serum metabolic profile of juvenile Chinese softshell turtle (Pelodiscus sinensis Wiegmann)

2021 ◽  
Vol 20 ◽  
pp. 100632
Author(s):  
Bing Gong ◽  
Fangyin Bao ◽  
Yuliang Wang ◽  
Huabin Liu ◽  
Mingsong Xiao ◽  
...  
2020 ◽  
Author(s):  
Mingsong Xiao ◽  
Fangyin Bao ◽  
Yuliang Wang ◽  
Huabin Liu ◽  
Jixiang He

Abstract Background:Traditional Chinese medicines (TCMs) had been proven to stimulate digestion, promote growth, boost immune response, and reduce inflammatory potential in aquaculture, but its action mechanism was still lack of holistic interpretation. Results: The UPLC-Triple-TOF-MS/MS based platform was developed to investigate the serum metabolic profile associated with the growth performance and immunity in Pelodiscus sinensis fed with the diet added with TCMs feeding additive. The final weight and specific growth rate of TG2 groups was significantly the highest (p ˂ 0.05), and the feed conversion ratio of TG2 groups was significantly the lowest (p ˂ 0.05) compared to the CG group. In the metabolomics assay, a total of 795 (VIP > 1) out of 3089 variable ions were significantly different between the TG2 group and CG group. 43 potential biomarkers between TG2 and CG groups were finally screened out on the basis of VIP > 1 and p < 0.05. Based on the analysis of MetPA, eleven potential biomarkers and six involved metabolic pathways were significantly regulated with treatment of TCMs. Phenylalanine, tyrosine and tryptophan biosynthesis and Arginine and proline metabolism were the two most heavily affected pathways (Impact >0.2), while Tyrosine metabolism, Cysteine and methionine metabolism and Arginine biosynthesis were relatively lightly affected pathways. Conclusions:The dietary supplementation nineteen TCMs as feed additives could influence the growth performance of the healthy juvenile P. sinensis, and the optimal dose of TCMs for juvenile turtles was 2% TCMs. The UPLC-Triple-TOF-MS based metabonomics may be a useful tool for elucidating the efficacy and mechanism of complex TCM prescriptions.


2021 ◽  
Vol 16 (5) ◽  
pp. 1934578X2110150
Author(s):  
Gang Li ◽  
Wei Zhou ◽  
Xiurong Zhao ◽  
Ying Xie

The novel coronavirus, 2019-nCoV, has led to a major pandemic in 2020 and is responsible for more than 2.9 million officially recorded deaths worldwide. As well as synthetic anti-viral drugs, there is also a need to explore natural herbal remedies. The Traditional Chinese Medicines (TCMs) system has been used for thousands of years for the prevention, diagnosis, and treatment of several chronic diseases. In this paper, we performed an in silico molecular docking and interaction analysis of TCMs against SARS-CoV-2 receptor RNA-dependent RNA polymerase (RdRp). We obtained the 5 most effective plant compounds which had a better binding affinity towards the target receptor protein. These compounds areforsythoside A, rutin, ginkgolide C, icariside II, and nolinospiroside E. The top-ranked compound, based on docking score, was nolinospiroside, a glycoside found in Ophiopogon japonicas that has antioxidant properties. Protein-ligand interaction analysis discerned that nolinospiroside formed a strong bond between ARG 349 of the protein receptor and the carboxylate group of the ligand, forming a stable complex. Hence, nolinospiroside could be deployed as a lead compound against SARS-CoV-2 infection that can be further investigated for its potential benefits in curbing the viral infection.


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