| Literature DB >> 31543914 |
Mohammad Ahmadi1,2, Ziba Akbari1, Mahbobeh Alikhani1,2, Reza Hajhossiani2, Zahra Zamani1, Mohammad Arjmand1.
Abstract
BACKGROUND: Xanthium strumarium L. is extensively used as a traditional herb to treat many diseases and is also known as a source of phytochemicals. It has been used traditionally to treat trypanosomiasis, malaria fever, eczema, cancer, ulcer, fever, herpes headache, and skin lesion such as leishmaniasis. In this preliminary study, nuclear magnetic resonance (NMR)-metabolomics approaches was used to evaluate the inhibitory effects and metabolic alterations caused by leaf extract of X. strumarium on the stationary phases of promastigotes in Leishmania major.Entities:
Keywords: Leishmania major; Metabolomics; NMR spectroscopy; Xanthium Strumarium
Year: 2019 PMID: 31543914 PMCID: PMC6737363
Source DB: PubMed Journal: Iran J Parasitol ISSN: 1735-7020 Impact factor: 1.012
In vitro viability of L. major freidlin promastogotes against Xanthium strumarium extract activity
| Negative Control | 85 | 80 |
| 150(Stock) | 9 | 3 |
| 15 | 23 | 20 |
| 1.5 | 36 | 28 |
| 0.15 | 56 | 49 |
| 0.015 | 62 | 58 |
| 0.0015 | 76 | 76 |
| 0.00015 | 83 | 80 |
| 0.000015 | 82 | 79 |
Fig. 1:PLS-DA scores plot of stationary phases of L. major 1HNMR. One-color dots represent the sample available in a group. Red triangle = L. major–untreated and green cross = L. major-treated. The explained variance are shown in brackets
Fig. 2:PLS-DA loading plot of stationary phases of L. major. This plot shows the relative contribution of bins/spectral variables to the clustering of experimental and control groups. Each point in the figure represents a bin. The loading [2] axis represents the correlation of the bin towards the predictive variation shown in Figure 1. The loading [1] axis represents the magnitude of the spectral bins
Fig. 3:A VIP variable score is the measurement of the variable importance in PLS-DA model. The red color indicates the increase, and the green color stands for the decrease in variable concentrations
Metabolome pathway analysis results
| Amino sugar and nucleotide sugar metabolism | D-Fructose, Glucosamine6-phosphate, uridine diphosphate galactose, Fructose 6- phosphate, N-Acetyl-D-Glucosamine6-phosphate | 21 | 6 | 0.349 |
| Cyanoamino acid metabolism | L-Aspartic acid, L-Asparagine | 6 | 2 | 0.419 |
| Starch and Sucrose metabolism | Glucose1-phosphate, D-Fructose | 6 | 2 | 0.419 |
| Butanoate metabolism | 3-Hydroxybutyric acid, Butanol 1-Butanol | 11 | 3 | 0.483 |
| Galactose metabolism | Glucose1-phosphate, Uridine diphosphate galactose | 7 | 2 | 0.506 |
| Phenylalanine, tyrosine and tryptophan biosynthesis, | L-phenylalanine | 4 | 1 | 0.650 |
| Pantothenate and CoA biosynthesis, | Pantothenic acid L-valine | 10 | 2 | 0.711 |
| Synthesis and degradation of ketone bodies | 3-Hydroxy butyric acid | 5 | 1 | 0.731 |
| Glycerolipid | D-glyceraldehyde | 11 | 2 | 0.762 |
| Cysteine and methionine metabolism | Cysteic acid | 22 | 4 | 0.786 |
| Alanine, aspartate and glutamate metabolism | Aspartic acid | 17 | 3 | 0.791 |
| Pentose and glucuronate interconversions | glucose-1-phosphate | 6 | 1 | 0.794 |
| Valine, leucine and isoleucine biosynthesis | L-Valine | 6 | 1 | 0.794 |
| Aminoacyl-tRNA biosynthesis | L-Asparagine | 46 | 8 | 0.873 |
Fig. 4:Topology map of altered biochemical pathways in experimental and control group according to the degree of centrality. The geometric position of each node in the topology map is presented by - Log(p)