Low and high resolution gas chromatography-mass spectrometry for untargeted metabolomics: A tutorial

Rey-Stolle, Fernanda; Dudzik, Danuta; González-Riaño, Carolina; Fernández-García, Miguel; Alonso-Herranz, Vanesa; Rojo, David; Barbas, Coral; Garcı́a, Antonia

doi:10.1016/j.aca.2021.339043

Cited by 36 publications

(19 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An aliquot of 100 µl of the supernatant was transferred to a gas chromatography (GC) vial, evaporated to dryness under vacuum (SP Genevac miVac Sample Concentrators—S.P. Scientific, Genevac Ltd., Ipswich, Suffolk, United Kingdom), and derivatized as previously described ( Rey-Stolle et al, 2021 ). In brief, 10 µl O-methoxyamine hydrochloride in pyridine (15 mg/ml) was added to each sample to protect the aldehyde and ketone groups.…”

Section: Methodsmentioning

confidence: 99%

Targeted and untargeted metabolomic approach for GDM diagnosis

Burzyńska-Pędziwiatr

Dudzik

Sansone

et al. 2023

Front. Mol. Biosci.

Self Cite

View full text Add to dashboard Cite

Gestational diabetes mellitus (GDM) is a disorder which manifests itself for the first time during pregnancy and is mainly connected with glucose metabolism. It is also known that fatty acid profile changes in erythrocyte membranes and plasma could be associated with obesity and insulin resistance. These factors can lead to the development of diabetes. In the reported study, we applied the untargeted analysis of plasma in GDM against standard glucose-tolerant (NGT) women to identify the differences in metabolomic profiles between those groups. We found higher levels of 2-hydroxybutyric and 3-hydroxybutyric acids. Both secondary metabolites are associated with impaired glucose metabolism. However, they are products of different metabolic pathways. Additionally, we applied lipidomic profiling using gas chromatography to examine the fatty acid composition of cholesteryl esters in the plasma of GDM patients. Among the 14 measured fatty acids characterizing the representative plasma lipidomic cluster, myristic, oleic, arachidonic, and α-linoleic acids revealed statistically significant changes. Concentrations of both myristic acid, one of the saturated fatty acids (SFAs), and oleic acid, which belong to monounsaturated fatty acids (MUFAs), tend to decrease in GDM patients. In the case of polyunsaturated fatty acids (PUFAs), some of them tend to increase (e.g., arachidonic), and some of them tend to decrease (e.g., α-linolenic). Based on our results, we postulate the importance of hydroxybutyric acid derivatives, cholesteryl ester composition, and the oleic acid diminution in the pathophysiology of GDM. There are some evidence suggests that the oleic acid can have the protective role in diabetes onset. However, metabolic alterations that lead to the onset of GDM are complex; therefore, further studies are needed to confirm our observations.

show abstract

Section: Methodsmentioning

confidence: 99%

Targeted and untargeted metabolomic approach for GDM diagnosis

Burzyńska-Pędziwiatr

Dudzik

Sansone

et al. 2023

Front. Mol. Biosci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Sample analysis was adapted from a methodology described previously ( 68 ) ( Text S2 ). GC-QTOF/MS data processing consisted of feature deconvolution, metabolite annotation using in-house and commercially available spectral libraries ( 69 , 70 ), compound integration of annotated metabolites, blank subtraction, internal standard normalization, and data filtering ( Text S2 ).…”

Section: Methodsmentioning

confidence: 99%

Genomics, Transcriptomics, and Metabolomics Reveal That Minimal Modifications in the Host Are Crucial for the Compensatory Evolution of ColE1-Like Plasmids

Ares-Arroyo

Fernández-García

Wedel

et al. 2022

mSphere

Self Cite

View full text Add to dashboard Cite

show abstract

“…After the extraction, several analytical techniques have been shown to provide good results for global analysis such as gas chromatography (GC), HPLC-MS or CE coupled to mass spectrometry as well as nuclear magnetic resonance spectroscopy (NMR) [76][77][78][79][80][81]. It has been reported…”

Section: Metabolomic Workflowmentioning

confidence: 99%

Omics insights into the responses to dietary selenium

Arias‐Borrego,

Callejón‐Leblic,

Collado

et al. 2023

Proteomics

View full text Add to dashboard Cite

Selenium is a well‐known health‐relevant element related with cancer chemoprevention, neuroprotective roles, beneficial in diabetes, and in several infectious diseases, among others. It is naturally present in some foods, but deficiency in people led to the production of nutraceuticals, supplements, and functional food enriched in this element. There is a U‐shaped link between selenium levels and health and a narrow range between toxic and essential levels, and thus, supplementation should be performed carefully. Omics methodologies have become valuable approaches to delve into the responses of dietary selenium in mammals that allowed a deeper knowledge about the metabolism of this element as well as its biological role. In this review, we discuss omics approaches from the workflows to their applications that has been previously used to deep insight into the metabolism of dietary selenium. There is a special focus on selenoproteins, metabolomics responses in blood and tissues (e.g., brain, reproductive organs, etc.) as well as the impact on gut microbiota and its metabolites profile. Thus, we mainly reviewed heteroatom‐tagged proteomics, metallomics, metabolomics, and metataxonomics, usually combined with transcriptomics, genomics, and other molecular methods.

show abstract

Low and high resolution gas chromatography-mass spectrometry for untargeted metabolomics: A tutorial

Cited by 36 publications

References 48 publications

Targeted and untargeted metabolomic approach for GDM diagnosis

Targeted and untargeted metabolomic approach for GDM diagnosis

Genomics, Transcriptomics, and Metabolomics Reveal That Minimal Modifications in the Host Are Crucial for the Compensatory Evolution of ColE1-Like Plasmids

Omics insights into the responses to dietary selenium

Contact Info

Product

Resources

About