Metabolomics and Personalized Medicine

Koen, Nadia; Preez, Ilse du; Loots, Du Toit

doi:10.1016/bs.apcsb.2015.09.003

Cited by 38 publications

(33 citation statements)

References 58 publications

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“…Metabolomics may identify metabolite profiles and biological pathways associated with diet-related diseases [45] and may help in unraveling the relationships between health and disease status (Figure 3), thus among metabolism, obesity and progression of COPD. At the same time, metabolomics may have potential as a clinical tool in risk evaluation and monitoring of disease [46]. …”

Section: Copd and Obesitymentioning

confidence: 99%

Metabolic Disorder in Chronic Obstructive Pulmonary Disease (COPD) Patients: Towards a Personalized Approach Using Marine Drug Derivatives

et al. 2017

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Metabolic disorder has been frequently observed in chronic obstructive pulmonary disease (COPD) patients. However, the exact correlation between obesity, which is a complex metabolic disorder, and COPD remains controversial. The current study summarizes a variety of drugs from marine sources that have anti-obesity effects and proposed potential mechanisms by which lung function can be modulated with the anti-obesity activity. Considering the similar mechanism, such as inflammation, shared between obesity and COPD, the study suggests that marine derivatives that act on the adipose tissues to reduce inflammation may provide beneficial therapeutic effects in COPD subjects with high body mass index (BMI).

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Section: Copd and Obesitymentioning

confidence: 99%

Metabolic Disorder in Chronic Obstructive Pulmonary Disease (COPD) Patients: Towards a Personalized Approach Using Marine Drug Derivatives

et al. 2017

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“…Therefore, there is the need to investigate changes in molecular pathways during perinatal asphyxia and TH; the holistic approach offers two advantages over existing methods: comprehensiveness and complementarity (16). Metabolomics, one of the youngest 'omics' disciplines, encompasses comprehensive metabolites evaluation, pattern recognition, and statistical analysis, with the intent to identify and quantify metabolites related with a physiological or a pathological process (17,18). Emerging studies on animal model have highlighted the importance to recognize the metabolic fingerprint in perinatal anoxia-hypoxia (19)(20)(21).…”

Section: Introductionmentioning

confidence: 99%

Urinary gas chromatography mass spectrometry metabolomics in asphyxiated newborns undergoing hypothermia: from the birth to the first month of life

Noto¹,

Pomero²,

Mussap³

et al. 2016

Ann. Transl. Med.

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Background: Perinatal asphyxia is a severe clinical condition affecting around four million newborns worldwide.It consists of an impaired gas exchange leading to three biochemical components: hypoxemia, hypercapnia and metabolic acidosis. Methods:The aim of this longitudinal experimental study was to identify the urine metabolome of newborns with perinatal asphyxia and to follow changes in urine metabolic profile over time. Twelve babies with perinatal asphyxia were included in this study; three babies died on the eighth day of life. Total-body cooling for 72 hours was carried out in all the newborns. Urine samples were collected in each baby at birth, after 48 hours during hypothermia, after the end of the therapeutic treatment (72 hours), after 1 week of life, and finally after 1 month of life. Urine metabolome at birth was considered the reference against which to compare metabolic profiles in subsequent samples. Quantitative metabolic profiling in urine samples was measured by gas chromatography mass spectrometry (GC-MS). The statistical approach was conducted by using the multivariate analysis by means of principal component analysis (PCA) and orthogonal partial least square discriminant analysis (OPLS-DA). Pathway analysis was also performed. Results:The most important metabolites depicting each time collection point were identified and compared each other. At birth before starting therapeutic hypothermia (TH), urine metabolic profiles of the three babies died after 7 days of life were closely comparable each other and significantly different from those in survivors. Conclusions:In conclusion, a plethora of data have been extracted by comparing the urine metabolome at birth with those observed at each time point collection. The modifications over time in metabolites composition and concentration, mainly originated from the depletion of cellular energy and homeostasis, seems to constitute a fingerprint of perinatal asphyxia.

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“…The current clinical practice approach works for the majority of the population, but misdiagnosis, symptoms relapse, and unfortunate side effects that occur in some people limit the clinical efficacy in disease control. By comparing the metabolomic profiles of two or more disease phenotypes, biomarkers related to the disease specific perturbations can be investigated to develop a personalized approach used in treating and monitoring disease progression …”

Section: Discussionmentioning

confidence: 99%

Metabolomics toward personalized medicine

Jacob¹,

Lopata

Dasouki³

et al. 2017

Mass Spectrometry Reviews

289

193

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Metabolomics, which is the metabolites profiling in biological matrices, is a key tool for biomarker discovery and personalized medicine and has great potential to elucidate the ultimate product of the genomic processes. Over the last decade, metabolomics studies have identified several relevant biomarkers involved in complex clinical phenotypes using diverse biological systems. Most diseases result in signature metabolic profiles that reflect the sums of external and internal cellular activities. Metabolomics has a major role in clinical practice as it represents >95% of the workload in clinical laboratories worldwide. Many of these metabolites require different analytical platforms, such as Nuclear Magnetic Resonance (NMR), Mass Spectrometry (MS), and Ultra Performance Liquid Chromatography (UPLC), while many clinically relevant metabolites are still not routinely amenable to detection using currently available assays. Combining metabolomics with genomics, transcriptomics, and proteomics studies will result in a significantly improved understanding of the disease mechanisms and the pathophysiology of the target clinical phenotype. This comprehensive approach will represent a major step forward toward providing precision medical care, in which individual is accounted for variability in genes, environment, and personal lifestyle. In this review, we compare and evaluate the metabolomics strategies and studies that focus on the discovery of biomarkers that have "personalized" diagnostic, prognostic, and therapeutic value, validated for monitoring disease progression and responses to various management regimens.

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Metabolomics and Personalized Medicine

Cited by 38 publications

References 58 publications

Metabolic Disorder in Chronic Obstructive Pulmonary Disease (COPD) Patients: Towards a Personalized Approach Using Marine Drug Derivatives

Metabolic Disorder in Chronic Obstructive Pulmonary Disease (COPD) Patients: Towards a Personalized Approach Using Marine Drug Derivatives

Urinary gas chromatography mass spectrometry metabolomics in asphyxiated newborns undergoing hypothermia: from the birth to the first month of life

Metabolomics toward personalized medicine

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