NMR for sample quality assessment in metabolomics

Ghini, Veronica; Quaglio, Deborah; Luchinat, Claudio; Turano, Paola

doi:10.1016/j.nbt.2019.04.004

Cited by 60 publications

(48 citation statements)

References 36 publications

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“…All the samples were collected and processed according to standard operating procedures (SOPs) to obtain high quality samples for metabolomics [ 55 , 56 , 57 ]. Both serum and urine were collected under fasting condition.…”

Section: Methodsmentioning

confidence: 99%

Effects of Probiotics Administration on Human Metabolic Phenotype

et al. 2020

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The establishment of the beneficial interactions between the host and its microbiota is essential for the correct functioning of the organism, since microflora alterations can lead to many diseases. Probiotics improve balanced microbial communities, exerting substantial health-promoting effects. Here we monitored the molecular outcomes, obtained by gut microflora modulation through probiotic treatment, on human urine and serum metabolic profiles, with a metabolomic approach. Twenty-two subjects were enrolled in the study and administered with two different probiotic types, both singularly and in combination, for 8 weeks. Urine and serum samples were collected before and during the supplementation and were analyzed by nuclear magnetic resonance (NMR) spectroscopy and statistical analyses. After eight weeks of treatment, probiotics deeply influence the urinary metabolic profiles of the volunteers, without significantly altering their single phenotypes. Anyway, bacteria supplementation tends to reduce the differences in metabolic phenotypes among individuals. Overall, the effects are recipient-dependent, and in some individuals, robust effects are already well visible after four weeks. Modifications in metabolite levels, attributable to each type of probiotic administration, were also monitored. Metabolomic analysis of biofluids turns out to be a powerful technique to monitor the dynamic interactions between the microflora and the host, and the individual response to probiotic assumption.

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Section: Methodsmentioning

confidence: 99%

Effects of Probiotics Administration on Human Metabolic Phenotype

et al. 2020

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“…Each 1D CPMG spectrum in the range 0.2-10.00 ppm was segmented into 0.02 ppm chemical shift bins, and the corresponding spectral areas were integrated using the AssureNMR software (Bruker BioSpin GmbH, Rheinstetten, Germany). To remove the interference effect due to the additives present in the samples [61], the region between 6.00 and 4.39 ppm containing the residual water signal and the regions containing signals of dextrose and citrate (3.91-3.71 ppm, 3.55-3.23 ppm, 2.69-2.51 ppm, and 1.19-1.15 ppm) were removed, and the dimension of the system was reduced to 368 bins. Total integral normalization was applied on the remaining bins prior to perform statistical analysis.…”

Section: H Nmr Metabolomic Analysesmentioning

confidence: 99%

Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy

Vignoli

Muraro

Miolo

et al. 2020

Cancers

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HER2-positive breast cancer (BC) represents a heterogeneous cancer disease. In an attempt to identify new stratification models useful for prognosis and therapeutic strategy, we investigated the influence of estrogen receptor (ER) status on the host immune and metabolomics profile of HER2-positive BC patients enrolled for neoadjuvant targeted chemotherapy (NATC). The study enrolled 43 HER2-positive BC patients eligible for NATC based on the trastuzumab-paclitaxel combination. Baseline circulatory cytokines and 1H NMR plasma metabolomics profiles were investigated. Differences in the immune cytokines and metabolomics profile as a function of the ER status, and their association with clinical outcomes were studied by multivariate and univariate analysis. Baseline metabolomics profiles were found to discriminate HER2-positive ER(+) from ER(−) BC patients. Within the ER(+) group an immune-metabolomics model, based on TNF-α and valine, predicted pathological complete response to NATC with 90.9% accuracy (AUROC = 0.92, p = 0.004). Moreover, metabolomics information integrated with IL-2 and IL-10 cytokine levels were prognostic of relapse with an accuracy of 95.5%. The results indicate that in HER2-positive BC patients the ER status influences the host circulatory immune-metabolomics profile. The baseline immune-metabolomics assessment in combination with ER status could represent an independent stratification tool able to predict NATC response and disease relapse of HER2-positive patients.

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“…NMR samples were prepared according to standard procedures [29,30]. Frozen serum samples were thawed at room temperature and shaken before use.…”

Section: Nmr Sample Preparationmentioning

confidence: 99%

DHA-Induced Perturbation of Human Serum Metabolome. Role of the Food Matrix and Co-Administration of Oat β-glucan and Anthocyanins

et al. 2019

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Docosahexaenoic acid (DHA) has been reported to have a positive impact on many diet-related disease risks, including metabolic syndrome. Although many DHA-enriched foods have been marketed, the impact of different food matrices on the effect of DHA is unknown. As well, the possibility to enhance DHA effectiveness through the co-administration of other bioactives has seldom been considered. We evaluated DHA effects on the serum metabolome administered to volunteers at risk of metabolic syndrome as an ingredient of three different foods. Foods were enriched with DHA alone or in combination with oat beta-glucan or anthocyanins and were administered to volunteers for 4 weeks. Serum samples collected at the beginning and end of the trial were analysed by NMR-based metabolomics. Multivariate and univariate statistical analyses were used to characterize modifications in the serum metabolome and to evaluate bioactive-bioactive and bioactive-food matrix interactions. DHA administration induces metabolome perturbation that is influenced by the food matrix and the co-presence of other bioactives. In particular, when co-administered with oat beta-glucan, DHA induces a strong rearrangement in the lipoprotein profile of the subjects. The observed modifications are consistent with clinical results and indicate that metabolomics represents a possible strategy to choose the most appropriate food matrices for bioactive enrichment.

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NMR for sample quality assessment in metabolomics

Cited by 60 publications

References 36 publications

Effects of Probiotics Administration on Human Metabolic Phenotype

Effects of Probiotics Administration on Human Metabolic Phenotype

Effect of Estrogen Receptor Status on Circulatory Immune and Metabolomics Profiles of HER2-Positive Breast Cancer Patients Enrolled for Neoadjuvant Targeted Chemotherapy

DHA-Induced Perturbation of Human Serum Metabolome. Role of the Food Matrix and Co-Administration of Oat β-glucan and Anthocyanins

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