Integrative Molecular Phenotyping
INTEGRATIVE MOLECULAR
PHENOTYPING
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY
DEPARTMENT OF MEDICAL
BIOCHEMISTRY AND BIOPHYSICS
WHEELOCK LABORATORY

PubMed

PubMed
NCBI: db=pubmed; Term=metabolomics
Updated: 8 min 34 sec ago

metabolomics; +18 new citations

Fri, 02/08/2019 - 14:45
18 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/08/02PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +20 new citations

Thu, 01/08/2019 - 14:33
20 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/08/01PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +25 new citations

Wed, 31/07/2019 - 14:23
25 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/31PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +25 new citations

Tue, 30/07/2019 - 14:15
25 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/30PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Viruses and non-allergen environmental triggers in asthma.

Mon, 29/07/2019 - 14:01
Related Articles Viruses and non-allergen environmental triggers in asthma. J Investig Med. 2019 Jul 27;: Authors: Chau-Etchepare F, Hoerger JL, Kuhn BT, Zeki AA, Haczku A, Louie S, Kenyon NJ, Davis CE, Schivo M Abstract Asthma is a complex inflammatory disease with many triggers. The best understood asthma inflammatory pathways involve signals characterized by peripheral eosinophilia and elevated immunoglobulin E levels (called T2-high or allergic asthma), though other asthma phenotypes exist (eg, T2-low or non-allergic asthma, eosinophilic or neutrophilic-predominant). Common triggers that lead to poor asthma control and exacerbations include respiratory viruses, aeroallergens, house dust, molds, and other organic and inorganic substances. Increasingly recognized non-allergen triggers include tobacco smoke, small particulate matter (eg, PM2.5), and volatile organic compounds. The interaction between respiratory viruses and non-allergen asthma triggers is not well understood, though it is likely a connection exists which may lead to asthma development and/or exacerbations. In this paper we describe common respiratory viruses and non-allergen triggers associated with asthma. In addition, we aim to show the possible interactions, and potential synergy, between viruses and non-allergen triggers. Finally, we introduce a new clinical approach that collects exhaled breath condensates to identify metabolomics associated with viruses and non-allergen triggers that may promote the early management of asthma symptoms. PMID: 31352362 [PubMed - as supplied by publisher]

Salivary metabolomics of total body irradiated non-human primates reveals long term normal tissue responses to radiation.

Mon, 29/07/2019 - 14:01
Related Articles Salivary metabolomics of total body irradiated non-human primates reveals long term normal tissue responses to radiation. Int J Radiat Oncol Biol Phys. 2019 Jul 25;: Authors: Laiakis EC, Nishita D, Bujold K, Jayatilake MM, Bakke J, Gahagen J, Authier S, Chang P, Fornace AJ Abstract PURPOSE: To identify metabolomic biomarkers of acute radiation exposure in saliva that show time-dependent changes. METHODS AND MATERIALS: Non-human primates (NHPs) were exposed to 4 Gy of total body irradiation with γ-rays. Saliva was collected from seven animals twice prior to and at days 1, 3, 5, 7, 15, 21, 28, and 60 after irradiation. Profiling was conducted with liquid chromatography time-of-flight mass spectrometry. Multivariate data analysis and potential biomarker identification was conducted through Random Forests and the software MetaboAnalyst. Candidate biomarkers were validated through tandem mass spectrometry (MS/MS) and receiver operating characteristic (ROC) curves were constructed to show the diagnostic ability of the signature over time. RESULTS AND CONCLUSIONS: Untargeted metabolomic analysis revealed significant and persistent effects up to the 60 days evaluated in this study. Biomarkers spanning primarily amino acids and nucleotides were identified with a significant number of them showing long term responses. Fifteen biomarkers showed high statistical significance in the first week after irradiation, and sixteen at >7 days after irradiation [false discovery rate (FDR) adjusted p<0.05]. The combination of the biomarkers in a single biosignature was able to accurately show the diagnostic ability of the signature in a binary classifier system with ROC curves. Radiation therefore can alter the metabolome in saliva and metabolomics could effectively be used to monitor radiation responses, as a biodosimetry method, in the event of a radiological incident; saliva metabolomics also has potential relevance in a clinical setting. PMID: 31352081 [PubMed - as supplied by publisher]

The challenges of developing and optimising an assay to measure 25-hydroxyvitamin D in saliva.

Mon, 29/07/2019 - 14:01
Related Articles The challenges of developing and optimising an assay to measure 25-hydroxyvitamin D in saliva. J Steroid Biochem Mol Biol. 2019 Jul 25;:105437 Authors: Clarke MW, Black LJ, Hart PH, Jones AP, Palmer DJ, Siafarikas A, Lucas RM, Gorman S Abstract Accurately detecting vitamin D deficiency (defined as concentration in blood of 25-hydroxyvitamin D (25(OH)D), <20 ng/mL) is important for both clinicians and researchers. Drawing blood may be difficult in some populations, such as infants and children. We thus explored the development of a method to measure 25(OH)D concentrations in saliva, using a liquid chromatography tandem mass spectrometry (LC-MS/MS) assay. Using 25(OH)D3 standards spiked into synthetic saliva, we generated a standard curve with high correlation (r = 0.999, Pearson's); the intra-assay and inter-assay variation were ≤3.2% and ≤13.2% (CV%), respectively. Passive collection of saliva via drooling into glass or polypropylene tubes yielded higher levels of 25(OH)D3 than chewing on a synthetic swab. Chewing gum for at least 4 minutes reduced saliva levels of 25(OH)D3. Differences in the levels of 25(OH)D3 in saliva between the passive drooling and stimulated swab-chewing methods were normalised by adjusting for measured levels of vitamin D binding protein in saliva. Freezing samples immediately, or after 24 h of refrigeration did not affect 25(OH)D3 levels. When saliva levels of 25(OH)D3 were averaged from samples collected daily for three consecutive days, for which an additional centrifugation step was performed after samples were defrosted (to remove mucin), there was a positive (but non-significant) correlation between 25(OH)D3 levels in saliva and serum (r = 0.57, p = 0.24, Pearson's) with significant correlations (r ≥ 0.88, p < 0.05) observed after further adjusting for saliva flow rate. The time of day of the collection made little difference to 25(OH)D3 levels measured in saliva. In conclusion, we have developed an LC-MS/MS assay that accurately measures saliva 25(OH)D3 levels, which correlated with serum levels. However, for a measurement that correlates with serum 25(OH)D it may be necessary to average results from saliva collected on three consecutive days, and adjust for differences in saliva flow rate. This would increase costs, and combined with the processing requirements for samples, could limit the applicability of this assay to large cohort and field studies. PMID: 31352025 [PubMed - as supplied by publisher]

The Future Of Omics For Clinical Practice.

Mon, 29/07/2019 - 14:01
Related Articles The Future Of Omics For Clinical Practice. Ann Allergy Asthma Immunol. 2019 Jul 25;: Authors: Long A, Bunning B, Borro M, Sampath V, Nadeau KC Abstract Dr. Kari Nadeau: Dr. Nadeau receives grant support from NIAID, Food Allergy Research & Education (FARE), End Allergies Together, Allergenis, Ukko; personal Fees from Regeneron, AstraZeneca, ImmuneWorks, Cour; sponsored research from Novartis, Sanofi, Astellas, Nestle; Sponsored research for clinical trials from Genentech, Aimmune Therapeutics, DBV Technologies, AnaptysBio, Stallergenes-Greer, Regeneron, and Adare Pharmaceuticals; Data and Safety Monitoring Board member at Novartis and NHLBI; co-founded Before Brands, Alladapt Immunotherapeutics, and ForTra; grant awardee for NIAID, NHLBI, NIEHS, and EPA; Director for FARE and World Allergy Organization (WAO) Center of Excellence. All other authors declare no conflict of interest. PMID: 31351978 [PubMed - as supplied by publisher]

metabolomics; +44 new citations

Sun, 28/07/2019 - 13:54
44 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/28PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +29 new citations

Fri, 26/07/2019 - 13:35
29 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/26PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +46 new citations

Thu, 25/07/2019 - 13:26
46 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/25PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +22 new citations

Wed, 24/07/2019 - 16:21
22 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/24PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +18 new citations

Tue, 23/07/2019 - 16:09
18 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/23PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +18 new citations

Tue, 23/07/2019 - 13:08
18 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/23PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +16 new citations

Mon, 22/07/2019 - 15:56
16 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/22PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

metabolomics; +16 new citations

Mon, 22/07/2019 - 12:53
16 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2019/07/22PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Serum metabolomics profiling and potential biomarkers of myopia using LC-QTOF/MS.

Sun, 21/07/2019 - 18:44
Serum metabolomics profiling and potential biomarkers of myopia using LC-QTOF/MS. Exp Eye Res. 2019 Jul 17;:107737 Authors: Dai L, Yang W, Qin X, Li Y, Cao H, Zhou C, Wang Y Abstract Myopia is the most common form of refractive eye disease, and the prevalence is increasing rapidly worldwide. However, the key metabolic alterations in individuals with high myopia are not understood clearly, and serum biomarkers remain to be determined. The objectives of this study were to identify serum biomarkers and investigate the metabolic alterations of myopia. The serum metabolomics profiling was investigated on 30 high myopia cases and 30 controls (without myopia) using liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF/MS), and an independent additional cohort including 20 cases and 19 controls were investigated to validate potential metabolite candidates for biomarkers. According to the metabolic differences, the myopia patients and controls could be divided into different clusters and nine metabolites were found to be closely correlated with myopia. In the cohort of validation, eight metabolites were confirmed. Metabolic pathway analyses of these metabolites of high myopia involved abnormal phospholipid, diacylglycerol, amino acid, and vitamin metabolism, which were closely correlated with oxidative stress and inflammation. Multiple logistic regression analyses showed that γ-glutamyltyrosine and 12-oxo-20-trihydroxy-leukotriene B4 were potential biomarkers of myopia with a combined high sensitivity (97%), specificity (90%), and area under the curve value (0.983). These findings may contribute to an understanding of the pathophysiological changes and pathogenesis of myopia, and provide novel insight into the early prevention and control of high myopia. PMID: 31325450 [PubMed - as supplied by publisher]

Identification of coronary heart disease biomarkers with different severities of coronary stenosis in human urine using non-targeted metabolomics based on UPLC-Q-TOF/MS.

Sun, 21/07/2019 - 18:44
Identification of coronary heart disease biomarkers with different severities of coronary stenosis in human urine using non-targeted metabolomics based on UPLC-Q-TOF/MS. Clin Chim Acta. 2019 Jul 17;: Authors: Huang M, Zhao H, Gao S, Liu Y, Liu Y, Zhang T, Cai X, Li Z, Li L, Li Y, Yu C Abstract BACKGROUND: Coronary heart disease (CHD) is the leading cause of death worldwide, and its pathogenesis has attracted much attention. Metabolomics serves as an important tool for diagnosing diseases and exploring their pathogenesis in recent years. In this study, CHD patients were studied by comparing them with normal subjects to elucidate biomarkers that are linearly correlated with the severity of coronary stenosis. METHODS: High-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to analyze the urine metabolites of CHD patients and normal subjects. A total of 131 subjects included 23 patients who presented with 50-69% coronary stenosis, 22 with 70-89% stenosis, 29 with 90-99% stenosis, 24 with 100% stenosis, and 29 normal subjects. RESULTS: A total of 15 potential biomarkers associated with CHD were identified, and among them 5 biomarkers were linearly correlated with the severity of coronary stenosis in CHD patients. The metabolic pathways involved were amino acid metabolism, fatty acid metabolism, energy metabolism, and nucleotide metabolism. CONCLUSION: This study identified the biomarkers and metabolic pathways that may be involved in the occurrence and development of CHD, laying a theoretical foundation for better diagnosis and treatment of CHD in the future. PMID: 31325445 [PubMed - as supplied by publisher]

Metabolomics Analysis of Nutrient Metabolism in β-Cells.

Sun, 21/07/2019 - 18:44
Metabolomics Analysis of Nutrient Metabolism in β-Cells. J Mol Biol. 2019 Jul 17;: Authors: Spégel P, Mulder H Abstract The islets of Langerhans harbor multiple endocrine cell-types that continuously respond to circulating nutrient levels in order to adjust their secretion of catabolic and anabolic hormones. Stimulus-secretion coupling in these cells is largely of metabolic nature, i.e. metabolism of nutrient fuels yields signals that trigger and amplify secretion of hormones. Hence, metabolism in this micro-organ is in a major way in control of whole-body metabolism. Therefore, insights into islet metabolism is critical to understand how secretion of insulin is regulated and why it is perturbed in type 2 diabetes. Metabolomics aims at characterizing a wide spectrum of metabolites in cells, tissues and body fluids. For this reason, this technique is well-suited to supply information on stimulus-secretion coupling. Here, we summarize metabolomics studies in islets and β-cells, highlight important discoveries that would have been difficult to make without this technology but also raise awareness of challenges and bottlenecks that curtail its use in metabolic research. PMID: 31325441 [PubMed - as supplied by publisher]

Metabolite variation in three edible Italian Allium cepa L. by NMR-based metabolomics: a comparative study in fresh and stored bulbs.

Sun, 21/07/2019 - 18:44
Related Articles Metabolite variation in three edible Italian Allium cepa L. by NMR-based metabolomics: a comparative study in fresh and stored bulbs. Metabolomics. 2019 Jul 19;15(8):105 Authors: Saviano G, Paris D, Melck D, Fantasma F, Motta A, Iorizzi M Abstract INTRODUCTION: In fruits and vegetables, comparative analysis of metabolic plant profiles has a high potential for quality control of active components. Onion (Allium cepa L.) is used fresh or stored as food, spice, and in traditional medicine. Its metabolic content, often with nutraceutical value, makes its level an important factor in agronomic production. OBJECTIVE: To describe for the first time the metabolome of "San Pietro" white onion (WP), and compare its chemical profile with the red onion var. Tropea (RT) and the yellow onion var. Montoro (CM). Furthermore, we also aim to obtain a multivariate model based on NMR fingerprints to discriminate the three Italian A. cepa L. cultivars. METHODS: For the chemical fingerprinting we used NMR-based metabolomics. We investigated the aqueous and chloroform extracts of fresh onion at harvesting time, and after 9-month storage. Principal component analysis (PCA), Partial least squares discriminant analysis (PLS-DA) and Orthogonal partial least squares (OPLS-DA) were used to build reliable models. RESULTS: We obtained a clear discrimination of A. cepa L. varieties for the fresh and stored batches. The statistical model highlighted higher levels of fructo-oligosaccharides (FOS) in the fresh WP; RT showed a high content of glucose, citrate and amino acids, while CM had many sulfur components. In the stored samples (CMS, RTS), carbohydrates and sulfur components decreased, while in WPS the free monosaccharides concentration increased. Linoleic acid was overexpressed in the apolar extracts of CMF and WPF cultivars. CONCLUSION: Metabolomics allows a reliable differentiation among onion varieties, and highlights the potential of fingerprinting for food authentication purposes. PMID: 31325058 [PubMed - in process]

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