Analysis of urinary metabolites for breast cancer patients receiving chemotherapy by CE-MS coupled with on-line concentration

Yu, Lanfang; Cheng, Jin; Huang, Sufang; Gong, Xingchu; Wang, Shufang; Shen, Peng

doi:10.1016/j.clinbiochem.2013.05.049

Cited by 21 publications

(26 citation statements)

References 39 publications

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“…Yu et al [59] used capillary electrophoresis MS to analyze urine samples from 21 patients with advanced BC before and after chemotherapy and healthy volunteers. Chemotherapy-sensitive patients showed 30% change in metabolite levels, while chemotherapy-insensitive patients showed only 9% change in metabolite levels.…”

Section: Resultsmentioning

confidence: 99%

Metabolomics Biomarkers for Breast Cancer

Günther

2015

Pathobiology

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Metabolomics represents a more recent addition to the range of omics tools, which are increasingly used in clinical applications. By measuring the composition of small molecules in tissues, blood or urine, it provides a sensitive molecular readout often associated with disease and its states, especially in cancer. Changes in metabolism related to cancer are increasingly well understood and are seen as a major hallmark of cancer. This review covers metabolomics used in human breast cancers, with a focus on its application in clinical diagnostics. There are clear indications that metabolomics could be a useful addition to currently established clinical diagnostic tools for breast cancer, including the possibility to detect cancer and to predict treatment responses and survival rates from blood and tissue samples.

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Section: Resultsmentioning

confidence: 99%

Metabolomics Biomarkers for Breast Cancer

Günther

2015

Pathobiology

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“…Both negative and positive ionization modes are used to analyze these two kinds of compounds. After chemotherapy, Gly, Cys, His, Trp, and cystine decreased in chemotherapy‐sensitive patients .…”

Section: Ce In Clinical Biochemistrymentioning

confidence: 96%

Recent advances in amino acid analysis by capillary electromigration methods, 2013–2015

et al. 2015

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We describe the most important research articles published on amino acid analysis using CE during the period from June 2013 to May 2015, and follows the format of the previous articles published in electrophoresis the new developments in amino acid analysis with CE are mainly describing improvements in detection means and injection methods. Enantiomeric separation developments are still important. Focusing the applications, we describe the neurochemical and clinical works, but also the metabolomic studies for which the publication number increase greatly. Finally, works focused on amino acids in food and agricultural applications are described.

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“…Urine has long been recognized as a rich fluid for medical diagnostics and presently many clinical assays are performed on this biological fluid [12][13][14] . Approximately 4,500 metabolites have been documented in urine 13,15 , showing connections to approximately 600 human conditions 12,13 including but not limited to: obesity 16 , cancer 17 , inflammation 18 , neurological disease 19 , and infectious disease 8 . Further, pregnancy, ovulation, urinary tract infection, diet, and exercise induce metabolomic signatures that can be observed in urine 14 .…”

Section: Introductionmentioning

confidence: 99%

Real time health monitoring through urine metabolomics

Miller

Peters

Overmyer

et al. 2019

Preprint

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Current healthcare practices are reactive and based on limited physiological information collected months or years apart. By enabling patients and healthy consumers access to continuous measurements of health, wearable devices and digital medicine stand to realize highly personalized and preventative care. However, most current digital technologies provide information on a limited set of physiological traits, such as heart rate and step count, which alone offer little insight into the etiology of most diseases. Here we propose to integrate data from biohealth smartphone applications with continuous metabolic phenotypes derived from urine metabolites. This combination of molecular phenotypes with quantitative measurements of lifestyle reflect the biological consequences of human behavior in real time. We present data from an observational study involving two healthy subjects and discuss the challenges, opportunities, and implications of integrating this new layer of physiological information into digital medicine. Though our dataset is limited to two subjects, our analysis (also available through an interactive web-based visualization tool) provides an initial framework to monitor lifestyle factors, such as nutrition, drug metabolism, exercise, and sleep using urine metabolites.

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Analysis of urinary metabolites for breast cancer patients receiving chemotherapy by CE-MS coupled with on-line concentration

Cited by 21 publications

References 39 publications

Metabolomics Biomarkers for Breast Cancer

Metabolomics Biomarkers for Breast Cancer

Recent advances in amino acid analysis by capillary electromigration methods, 2013–2015

Real time health monitoring through urine metabolomics

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