Studying Metabolism by NMR-Based Metabolomics

Moco, Sofia

doi:10.3389/fmolb.2022.882487

Cited by 40 publications

(27 citation statements)

References 125 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, a fresh readout of the inflammatory responses in terms of metabolic pathways underlying NP-induced cytotoxicity remains the aim of the current work. Furthermore, given its robustness, the use of NMR spectroscopy in the analysis of clinical samples like blood, urine, serum, etc., would make the results more reproducible. , The cytotoxic potential of ZnO NPs has been studied in terms of membrane integrity and mitochondrial vitality for a dose range of 0–200 μg/mL. The depreciating values of the MTT to LDH ratio over the exposure range further depicted the toxic potential of ZnO NPs under in vitro conditions.…”

Section: Discussionmentioning

confidence: 99%

NMR-Based Metabolomic Imprinting Elucidates Macrophage Polarization of THP-1 Cell Lines Stimulated by Zinc Oxide Nanoparticles

Mishra

Prajapati

Baranwal³

et al. 2022

ACS Appl. Bio Mater.

View full text Add to dashboard Cite

Zinc oxide (ZnO) nanoparticles (NPs) have been widely used in industry, cosmetics, drugs, bioimaging, and drug delivery. ZnO NPs have been found to interact and interfere with cellular physiology via macrophages, thereby resulting in macrophage polarization. The functional reprogramming of the cells is synchronized through cellular metabolic adaptations. The current study, therefore, aims to establish crosstalk between ZnO-NP-induced metabolic alterations and macrophage polarization in PMA-activated THP-1 cell lines. We observed moderate to heightened cytotoxic response in terms of cell viability and proliferation. The results also revealed increased Th1-type cytokine and chemokine expression. In order to characterize the changes in metabolite concentration in treatment groups, we employed multivariate data analysis (principal component analysis and partial least-squares discriminant analysis) of 1 H NMR spectra. The results revealed biologically relevant patterns and alterations in many metabolic pathways. These alterations and patterns were found to be in line across the immune−cytotoxic axis. Furthermore, the results also implicate the role of carbon metabolism toward the classical activation of macrophage polarization. The omics approach could identify the markers involved in NP-induced toxicity, thus elaborating our vision of cytotoxicity that is currently limited to end-point and cytokine assays. Also, it could be emphasized that metabolic reconfiguration upon NP stimulation could direct macrophage polarization toward classical activation.

show abstract

Section: Discussionmentioning

confidence: 99%

NMR-Based Metabolomic Imprinting Elucidates Macrophage Polarization of THP-1 Cell Lines Stimulated by Zinc Oxide Nanoparticles

Mishra

Prajapati

Baranwal³

et al. 2022

ACS Appl. Bio Mater.

View full text Add to dashboard Cite

show abstract

“…However, different platforms have unique advantages and disadvantages and may require care during the sample treatment stages. These analytical techniques have been reviewed extensively elsewhere (Saini et al 2021;Harrieder et al 2022;Moco 2022).…”

Section: Data Acquisitionmentioning

confidence: 99%

Recent metabolomic developments for antimalarial drug discovery

et al. 2022

View full text Add to dashboard Cite

Malaria is a parasitic disease that remains a global health issue, responsible for a significant death and morbidity toll. Various factors have impacted the use and delayed the development of antimalarial therapies, such as the associated financial cost and parasitic resistance. In order to discover new drugs and validate parasitic targets, a powerful omics tool, metabolomics, emerged as a reliable approach. However, as a fairly recent method in malaria, new findings are timely and original practices emerge frequently. This review aims to discuss recent research towards the development of new metabolomic methods in the context of uncovering antiplasmodial mechanisms of action in vitro and to point out innovative metabolic pathways that can revitalize the antimalarial pipeline.

show abstract

“…Therefore, this field of science is equipped with the provision of highly accurate information related to the physiological state of an organism [ 17 ]. Different analytical techniques like gas chromatography–mass spectrometry (GC-MS), liquid chromatography–mass spectrometry (LC-MS), nuclear magnetic resonance spectroscopy (NMR), liquid chromatography nuclear magnetic resonance (LC-NMR), and liquid chromatography solid phase extraction nuclear magnetic resonance (LC-SPE-NMR) have been employed in plant metabolomics [ 18 , 19 ]. LCMS is a more sensitive approach than GCMS and NMR though the major disadvantage of this platform is ion suppression.…”

Section: Introductionmentioning

confidence: 99%

NMR-Based Metabolomics: A New Paradigm to Unravel Defense-Related Metabolites in Insect-Resistant Cotton Variety through Different Multivariate Data Analysis Approaches

et al. 2023

View full text Add to dashboard Cite

Cotton (Gossypium hirsutum) is an economically important crop and is widely cultivated around the globe. However, the major problem of cotton is its high vulnerability to biotic and abiotic stresses. It has been around three decades since the cotton plant was genetically engineered with genes encoding insecticidal proteins (mainly Cry proteins) with an aim to protect it against insect attack. Several studies have been reported on the impact of these genes on cotton production and fiber quality. However, the metabolites responsible for conferring resistance in genetically modified cotton need to be explored. The current work aims to unveil the key metabolites responsible for insect resistance in Bt cotton and also compare the conventional multivariate analysis methods with deep learning approaches to perform clustering analysis. We aim to unveil the marker compounds which are responsible for inducing insect resistance in cotton plants. For this purpose, we employed 1H-NMR spectroscopy to perform metabolite profiling of Bt and non-Bt cotton varieties, and a total of 42 different metabolites were identified in cotton plants. In cluster analysis, deep learning approaches (linear discriminant analysis (LDA) and neural networks) showed better separation among cotton varieties compared to conventional methods (principal component analysis (PCA) and orthogonal partial least square discriminant analysis (OPLSDA)). The key metabolites responsible for inter-class separation were terpinolene, α-ketoglutaric acid, aspartic acid, stigmasterol, fructose, maltose, arabinose, xylulose, cinnamic acid, malic acid, valine, nonanoic acid, citrulline, and shikimic acid. The metabolites which regulated differently with the level of significance p < 0.001 amongst different cotton varieties belonged to the tricarboxylic acid cycle (TCA), Shikimic acid, and phenylpropanoid pathways. Our analyses underscore a biosignature of metabolites that might involve in inducing insect resistance in Bt cotton. Moreover, novel evidence from our study could be used in the metabolic engineering of these biological pathways to improve the resilience of Bt cotton against insect/pest attacks. Lastly, our findings are also in complete support of employing deep machine learning algorithms as a useful tool in metabolomics studies.

show abstract

Studying Metabolism by NMR-Based Metabolomics

Cited by 40 publications

References 125 publications

NMR-Based Metabolomic Imprinting Elucidates Macrophage Polarization of THP-1 Cell Lines Stimulated by Zinc Oxide Nanoparticles

NMR-Based Metabolomic Imprinting Elucidates Macrophage Polarization of THP-1 Cell Lines Stimulated by Zinc Oxide Nanoparticles

Recent metabolomic developments for antimalarial drug discovery

NMR-Based Metabolomics: A New Paradigm to Unravel Defense-Related Metabolites in Insect-Resistant Cotton Variety through Different Multivariate Data Analysis Approaches

Contact Info

Product

Resources

About