NMR metabolic profiling of lipopolysaccharide-induced mice sepsis and the treatment effects of berberine

RSC Advances ◽  
2016 ◽  
Vol 6 (53) ◽  
pp. 47474-47485 ◽  
Author(s):  
Pei Li ◽  
Shanting Liao ◽  
Junsong Wang ◽  
Dingqiao Xu ◽  
Qian Zhang ◽  
...  

1H NMR metabolomics to study lipopolysaccharide-induced mice sepsis and the treatment effects of berberine.

2021 ◽  
Vol 10 ◽  
Author(s):  
Catherine Deborde ◽  
Blandine Madji Hounoum ◽  
Annick Moing ◽  
Mickaël Maucourt ◽  
Daniel Jacob ◽  
...  

Abstract The long-term effect of a plant (P)-based diet was assessed by proton nuclear magnetic resonance (1H-NMR) metabolomics in rainbow trout fed a marine fish meal (FM)–fish oil (FO) diet (M), a P-based diet and a control commercial-like diet (C) starting with the first feeding. Growth performances were not heavily altered by long-term feeding on the P-based diet. An 1H-NMR metabolomic analysis of the feed revealed significantly different soluble chemical compound profiles between the diets. A set of soluble chemical compounds was found to be specific either to the P-based diet or to the M diet. Pterin, a biomarker of plant feedstuffs, was identified both in the P-based diet and in the plasma of fish fed the P-based diet. 1H-NMR metabolomic analysis on fish plasma and liver and muscle tissues at 6 and 48 h post feeding revealed significantly different profiles between the P-based diet and the M diet, while the C diet showed intermediate results. A higher amino acid content was found in the plasma of fish fed the P-based diet compared with the M diet after 48 h, suggesting either a delayed delivery of the amino acids or a lower amino acid utilisation in the P-based diet. This was associated with an accumulation of essential amino acids and the depletion of glutamine in the muscle, together with an accumulation of choline in the liver. Combined with an anticipated absorption of methionine and lysine supplemented in free form, the present results suggest an imbalanced essential amino acid supply for protein metabolism in the muscle and for specific functions of the liver.


2020 ◽  
Vol 31 (4) ◽  
pp. 480-487 ◽  
Author(s):  
Elvia Becerra‐Martínez ◽  
Yesenia Pacheco‐Hernández ◽  
Edmundo Lozoya‐Gloria ◽  
Martha G. Betancourt‐Jiménez ◽  
Diego Hidalgo‐Martínez ◽  
...  

2019 ◽  
Vol 58 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Liliana López-Garrido ◽  
Angel E. Bañuelos-Hernández ◽  
Elizabeth Pérez-Hernández ◽  
Romeo Tecualt-Gómez ◽  
Jorge Quiroz-Williams ◽  
...  

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 22-22
Author(s):  
Angela W Chan ◽  
Pascal Mercier ◽  
Dan E. Schiller ◽  
Dean Eurich ◽  
David Broadhurst ◽  
...  

22 Background: Gastric cancer (GC) has 70-75% mortality, attributable to delayed diagnosis. There is no standard screening in North America. Metabolomics is a systems biology approach to measure low molecular weight chemicals (metabolites) in body fluids or tissues to provide a phenotypic “fingerprint” of disease etiology. In this preliminary study it was hypothesized that metabolic profiling of urine samples using 1H-NMR spectroscopy could discriminate between resectable gastric adenocarcinoma (GC), benign gastric disease (BN), and healthy (HE) patients (pts). Methods: Midstream urine samples were collected, processed, and biobanked at -80°C, from 30 BN, 30 HE and 16 of 29 GC pts visiting three Edmonton clinics from August 2013 – January 2014. Thirteen of 29 samples were retrieved from a 2009-13 GC biobank. Samples were matched on age, gender and BMI. Using a validated standard operating procedure each sample was analyzed using high resolution 1H-NMR spectroscopy. Resulting spectral traces were converted into annotated and quantified metabolite profiles of 58 metabolites. Univariate and multivariate statistical analysis uncovered a disease specific biomarker profile. Partial Least Squares Discriminant Analysis (PLS-DA) developed a GC vs. HE discriminative model. A Receiver Operator Characteristic (ROC) curve was constructed. Results: There was no significant difference in metabolite profiles between GC and BN pts. However, univariate analysis revealed 13 metabolites that differed significantly between GC and HE (p<0.05). Correlation analysis, followed by PLS-DA produced a discriminative model with an area under ROC curve of 0.996, such that for a specificity of 100% the corresponding sensitivity was 93%. Conclusions: GC pts have a distinct urinary metabolite profile compared to HE controls; however in this study metabolic profiling was unable to discriminate GC from BN pts. This was probably due to sample size and phenotypic heterogeneity of BN patients. This preliminary study shows clinical potential for metabolic profiling for early GC detection.


2013 ◽  
Vol 12 (1) ◽  
pp. 121 ◽  
Author(s):  
Huijuan Wang ◽  
Liang Wang ◽  
Hailong Zhang ◽  
Pengchi Deng ◽  
Jie Chen ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Qian Zhang ◽  
Xiaowei Fu ◽  
Junsong Wang ◽  
Minghua Yang ◽  
Lingyi Kong

Berberine, baicalin, and jasminoidin were major active ingredients of Huang-Lian-Jie-Du-Decoction (HLJDD), a famous prescription of traditional Chinese medicine (TCM), which has been used for the treatment of ischemic stroke. The aim of the present study was to classify their roles in the treatment effects of ischemic stroke. A rat model of middle cerebral artery occlusion (MCAO) was constructed to mimic ischemic stroke and treatment effects of berberine, baicalin, and jasminoidin, and HLJDD was assessed by neurologic deficit scoring, infarct volume, histopathology, immunohistochemistry, biochemistry, quantitative real-time polymerase chain reaction (qRT-PCR), and Western blotting. In addition, the 1H NMR metabolomics approach was used to assess the metabolic profiles, which combined with correlation network analysis successfully revealed metabolic disorders in ischemic stroke concerning the treatment of the three principal compounds from HLJDD for the first time. The combined results suggested that berberine, baicalin, and jasminoidin are responsible for the effectiveness of HLJDD on the treatment of ischemic stroke by amelioration of abnormal metabolism and regulation of oxidative stress, neuron autophagy, and inflammatory response. This integrated metabolomics approach showed its potential in understanding the function of complex formulae and clarifying the role of its components in the overall treatment effects.


2021 ◽  
Vol 12 ◽  
Author(s):  
Sylvana Vilca-Melendez ◽  
Malin V. Uthaug ◽  
Julian L. Griffin

While psychedelics may have therapeutic potential for treating mental health disorders such as depression, further research is needed to better understand their biological effects and mechanisms of action when considering the development of future novel therapy approaches. Psychedelic research could potentially benefit from the integration of metabonomics by proton nuclear magnetic resonance (1H NMR) spectroscopy which is an analytical chemistry-based approach that can measure the breakdown of drugs into their metabolites and their metabolic consequences from various biofluids. We have performed a systematic review with the primary aim of exploring published literature where 1H NMR analysed psychedelic substances including psilocin, lysergic acid diethylamide (LSD), LSD derivatives, N,N-dimethyltryptamine (DMT), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) and bufotenin. The second aim was to assess the benefits and limitations of 1H NMR spectroscopy-based metabolomics as a tool in psychedelic research and the final aim was to explore potential future directions. We found that the most current use of 1H NMR in psychedelic research has been for the structural elucidation and analytical characterisation of psychedelic molecules and that no papers used 1H NMR in the metabolic profiling of biofluids, thus exposing a current research gap and the underuse of 1H NMR. The efficacy of 1H NMR spectroscopy was also compared to mass spectrometry, where both metabonomics techniques have previously shown to be appropriate for biofluid analysis in other applications. Additionally, potential future directions for psychedelic research were identified as real-time NMR, in vivo1H nuclear magnetic resonance spectroscopy (MRS) and 1H NMR studies of the gut microbiome. Further psychedelic studies need to be conducted that incorporate the use of 1H NMR spectroscopy in the analysis of metabolites both in the peripheral biofluids and in vivo to determine whether it will be an effective future approach for clinical and naturalistic research.


2020 ◽  
Author(s):  
Weiliang Zhu ◽  
Guoqing Wu ◽  
Wenrui Zhu ◽  
Tianwen Zhao ◽  
Hong-Jiang Zhang ◽  
...  

Abstract Background: Liver fibrosis is a common consequence of chronic liver diseases resulting from multiple etiologies. Early clinical application shows that Ruangan Xiaoji Decoction (RGXJD) has a very obvious effect on the treatment of liver fibrosis. However, the mechanism of RGXJD cures liver fibrosis requires further elucidation.Methods: In this work, the therapeutic effect of RGXJD on CCl4-induced liver fibroses serum and liver tissue metabolite changes in rat was analyzed by 1H-NMR metabolomics. Meanwhile, histopathology examinations and serum clinical chemistry analysis verified the experimental results of metabolomics.Results: RGXJD treatment could reverse the increase in ALT and AST induced by CCl4 and attenuate the pathological changes in liver tissue. In the 1H-NMR metabolomic analysis, PLS-DA score plots demonstrated that the serum and liver tissue metabolic profiles in rats of the RGXJD groups were similar those of the control group, yet remarkably apart from the CCl4 group. The mechanism may be related to the endogenous metabolites including energy metabolism, amino acid metabolism, TCA cycle and purine metabolism in rats. Correlation analysis were then performed to further confirm the metabolites involved in Isoleucine, Tyrosine, UDP-Glucose, Glutathione and Leucine, etc.Conclusions: These findings may provided new insights into the mechanism of the hepatoprotection of RGXJD.


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