PubMed

Related Articles Omics Meeting Onics: Towards the Next Generation of Spectroscopic-Based Technologies in Personalized Medicine. J Pers Med. 2019 Aug 01;9(3): Authors: Peng WK, Paesani D Abstract This article aims to discuss the recent development of integrated point-of-care spectroscopic-based technologies that are paving the way for the next generation of diagnostic monitoring technologies in personalized medicine. Focusing on the nuclear magnetic resonance (NMR) technologies as the leading example, we discuss the emergence of -onics technologies (e.g., photonics and electronics) and how their coexistence with -omics technologies (e.g., genomics, proteomics, and metabolomics) can potentially change the future technological landscape of personalized medicine. The idea of an open-source (e.g., hardware and software) movement is discussed, and we argue that technology democratization will not only promote the dissemination of knowledge and inspire new applications, but it will also increase the speed of field implementation. PMID: 31374867 [PubMed]

Related Articles Tear Metabolomics in Dry Eye Disease: A Review. Int J Mol Sci. 2019 Aug 01;20(15): Authors: Yazdani M, Elgstøen KBP, Rootwelt H, Shahdadfar A, Utheim ØA, Utheim TP Abstract Dry eye disease (DED) is a multifactorial syndrome that can be caused by alteration in the quality or quantity of the precorneal tear film. It is considered one of the most common ocular conditions leading patients to seek eye care. The current method for diagnostic evaluations and follow-up examinations of DED is a combination of clinical signs and symptoms determined by clinical tests and questionnaires, respectively. The application of powerful omics technologies has opened new avenues toward analysis of subjects in health and disease. Metabolomics is a new emerging and complementary research discipline to all modern omics in the comprehensive analysis of biological systems. The identification of distinct metabolites and integrated metabolic profiles in patients can potentially inform clinicians at an early stage or during monitoring of disease progression, enhancing diagnosis, prognosis, and the choice of therapy. In ophthalmology, metabolomics has gained considerable attention over the past decade but very limited such studies have been reported on DED. This paper aims to review the application of tear metabolomics in DED. PMID: 31374809 [PubMed - in process]

17 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 2019/08/03PubMed 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.

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.

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.

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.

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.

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]

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]

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]

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]

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.

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.

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.

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.

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.

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.

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.

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. 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]