scholarly journals Serum Metabolomic Profiling of Rats by Intervention of Aconitum soongaricum

2015 ◽  
Vol 10 (12) ◽  
pp. 1934578X1501001
Author(s):  
Fan Zhang ◽  
Jiao Liu ◽  
Jun Lei ◽  
Wenjing He ◽  
Yun Sun
Keyword(s):  
Statistical Analysis ◽  
Nmr Spectroscopy ◽  
Metabolic Profiles ◽  
Metabolomic Analysis ◽  
Serum Samples ◽  
Multivariate Statistical ◽  
H Nmr ◽  
Metabolomic Profiling ◽  
Clinical Detection ◽  
Endogenous Metabolites

To understand the toxic mechanism and to find the changes in the endogenous metabolites of Aconitum soongaricum Stapf for clinical detection, a combination of 1H NMR spectroscopy and multivariate statistical analysis was applied to examine the metabolic profiles of the blood serum samples collected from the rat model. In total, thirteen biomarkers of A. soongaricum were found and identified. It turned out that A. soongaricum treatment may partially disorder the metabolism. The study has shown the potential application of NMR-based metabolomic analysis in providing further insights into the toxicity caused by A. soongaricum.

scholarly journals Metabolic profile changes in serum of migraine patients detected using 1H-NMR spectroscopy

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aster V. E. Harder ◽  
Lisanne S. Vijfhuizen ◽  
Peter Henneman ◽  
Ko Willems van Dijk ◽  
Cornelia M. van Duijn ◽  
...  
Keyword(s):  
Nmr Spectroscopy ◽  
Acid Metabolism ◽  
Metabolite Profile ◽  
Proton Nuclear Magnetic Resonance ◽  
Metabolic Profiles ◽  
Serum Samples ◽  
Brain Disorder ◽  
Diagnostic Biomarkers ◽  
H Nmr ◽  
Profile Changes

Abstract Background Migraine is a common brain disorder but reliable diagnostic biomarkers in blood are still lacking. Our aim was to identify, using proton nuclear magnetic resonance (1H-NMR) spectroscopy, metabolites in serum that are associated with lifetime and active migraine by comparing metabolic profiles of patients and controls. Methods Fasting serum samples from 313 migraine patients and 1512 controls from the Erasmus Rucphen Family (ERF) study were available for 1H-NMR spectroscopy. Data was analysed using elastic net regression analysis. Results A total of 100 signals representing 49 different metabolites were detected in 289 cases (of which 150 active migraine patients) and 1360 controls. We were able to identify profiles consisting of 6 metabolites predictive for lifetime migraine status and 22 metabolites predictive for active migraine status. We estimated with subsequent regression models that after correction for age, sex, BMI and smoking, the association with the metabolite profile in active migraine remained. Several of the metabolites in this profile are involved in lipid, glucose and amino acid metabolism. Conclusion This study indicates that metabolic profiles, based on serum concentrations of several metabolites, including lipids, amino acids and metabolites of glucose metabolism, can distinguish active migraine patients from controls.

Metabolomic analysis of serum by (1) H NMR spectroscopy in amyotrophic lateral sclerosis

2010 ◽  
Vol 411 (17-18) ◽  
pp. 1383 ◽  
Author(s):  
G.N. Babu ◽  
Alok Kumar ◽  
Lakshmi Bala ◽  
Jayantee Kalita ◽  
U.K. Misra ◽  
...  
Keyword(s):  
Amyotrophic Lateral Sclerosis ◽  
Nmr Spectroscopy ◽  
Metabolomic Analysis ◽  
H Nmr ◽  
Lateral Sclerosis

Metabolomic profiling of Saposhnikoviae Radix from Mongolia by LC–IT–TOF–MS/MS and multivariate statistical analysis

2019 ◽  
Vol 74 (1) ◽  
pp. 170-188 ◽  
Author(s):  
Zolboo Batsukh ◽  
Kazufumi Toume ◽  
Batkhuu Javzan ◽  
Kohei Kazuma ◽  
Shao-Qing Cai ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical ◽  
Metabolomic Profiling ◽  
Saposhnikoviae Radix ◽  
Tof Ms
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