Real time health monitoring through urine metabolomics

Miller, Ian; Peters, Sean R.; Overmyer, Katherine A.; Paulson, Brett R.; Westphall, Michael S.; Coon, Joshua J.

doi:10.1101/681742

Cited by 5 publications

(5 citation statements)

References 34 publications

(45 reference statements)

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“…Also, the timing of sampling during the day could be of importance for certain body fluids such as urine. 104 Many discrepancies have been found in the level of storage conditions, storage time, and storage container (see Supplemental Table 2 ). Only 1 study described clearly to have researched VOC conservation.…”

Section: Discussionmentioning

confidence: 99%

Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review

et al. 2022

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Introduction: An early diagnosis is crucial in reducing mortality among people who have breast cancer (BC). There is a shortfall of characteristic early clinical symptoms in BC patients, highlighting the importance of investigating new methods for its early detection. A promising novel approach is the analysis of volatile organic compounds (VOCs) produced and emitted through the metabolism of cancer cells. Methods: The purpose of this systematic review is to outline the published research regarding BC-associated VOCs. For this, headspace analysis of VOCs was explored in patient-derived body fluids, animal model-derived fluids, and BC cell lines to identify BC-specific VOCs. A systematic search in PubMed and Web of Science databases was conducted according to the PRISMA guidelines. Results: Thirty-two studies met the criteria for inclusion in this review. Results highlight that VOC analysis can be promising as a potential novel screening tool. However, results of in vivo, in vitro and case-control studies have delivered inconsistent results leading to a lack of inter-matrix consensus between different VOC sampling methods. Discussion: Discrepant VOC results among BC studies have been obtained, highly due to methodological discrepancies. Therefore, methodological issues leading to disparities have been reviewed and recommendations have been made on the standardisation of VOC collection and analysis methods for BC screening, thereby improving future VOC clinical validation studies.

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Section: Discussionmentioning

confidence: 99%

Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review

et al. 2022

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“…So far, there are about 4500 metabolites detected in urine associated with approximately 600 human diseases/conditions such as obesity, cancer, inflammation, neurodegeneration, infectious disease, and diet to name a few. 60 Therefore, it is an ideal biofluid for global metabolomics studies as it reflects the overall metabolic network regulation of an individual resulting from specific and complex exposures. Using global LC-HRMS-based metabolomics, we have identified differentially regulated biological pathways and metabolites in urine of AA and white smokers.…”

Section: Discussionmentioning

confidence: 99%

Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk

Dator

Villalta

Thomson

et al. 2020

Chem. Res. Toxicol.

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African American (AA) smokers are at a higher risk of developing lung cancer compared to whites. The variations in the metabolism of nicotine and tobacco-derived carcinogens in these groups were reported previously with the levels of nicotine metabolites and carcinogen-derived metabolites measured using targeted approaches. While useful, these targeted strategies are not able to detect global metabolic changes for use in predicting the detrimental effects of tobacco use and ultimately lung cancer susceptibility among smokers. To address this limitation, we have performed global untargeted metabolomics profiling in urine of AA and white smokers to characterize the pattern of metabolites, identify differentially regulated pathways, and correlate these profiles with the observed variations in lung cancer risk between these two populations. Urine samples from AA ( n = 30) and white ( n = 30) smokers were used for metabolomics analysis acquired in both positive and negative electrospray ionization modes. LC-MS data were uploaded onto the cloud-based XCMS online ( ) platform for retention time correction, alignment, feature detection, annotation, statistical analysis, data visualization, and automated systems biology pathway analysis. The latter identified global differences in the metabolic pathways in the two groups including the metabolism of carbohydrates, amino acids, nucleotides, fatty acids, and nicotine. Significant differences in the nicotine degradation pathway (cotinine glucuronidation) in the two groups were observed and confirmed using a targeted LC-MS/MS approach. These results are consistent with previous studies demonstrating AA smokers with lower glucuronidation capacity compared to whites. Furthermore, the d -glucuronate degradation pathway was found to be significantly different between the two populations, with lower amounts of the putative metabolites detected in AA compared to whites. We hypothesize that the differential regulation of the d -glucuronate degradation pathway is a consequence of the variations in the glucuronidation capacity observed in the two groups. Other pathways including the metabolism of amino acids, nucleic acids, and fatty acids were also identified, however, the biological relevance and implications of these differences across ethnic groups need further investigation. Overall, the applied metabolomics approach revealed global differences in the metabolic networks and endogenous metabolites in AA and whites, which could be used and validated as a new potential panel of biomarkers that could be used to predict lung cancer susceptibility among smokers in population-based studies.

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“…Over the past several years, longitudinal monitoring of physiological data has garnered considerable interest 30,[47][48][49][50] . However, the ability of wearable data to predict clinical labs has been limited 30 .…”

Section: Wearable Data Reflect Internal Molecular Changesmentioning

confidence: 99%

“…Several studies have demonstrated that wearable data can reflect and predict the internal molecules (multi-omics data), including laboratory clinic tests and metabolites on a weekly or monthly scale 29,30 . However, due to the low-frequency sampling of multi-omics data, the circadian patterns and causal relationships between digital and internal molecular data cannot be discerned 50 . We explored the relationship between wearable data and internal molecular changes on an hourly scale at an individual level, including building predictive models.…”

Section: Wearable Data Reflect Internal Molecular Changesmentioning

confidence: 99%

Multi-omics microsampling for the profiling of lifestyle-associated changes in health

et al. 2023

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Current healthcare practices are reactive and use limited physiological and clinical information, often collected months or years apart. Moreover, the discovery and profiling of blood biomarkers in clinical and research settings are constrained by geographical barriers, the cost and inconvenience of in-clinic venepuncture, low sampling frequency and the low depth of molecular measurements. Here we describe a strategy for the frequent capture and analysis of thousands of metabolites, lipids, cytokines and proteins in 10 μl of blood alongside physiological information from wearable sensors. We show the advantages of such frequent and dense multi-omics microsampling in two applications: the assessment of the reactions to a complex mixture of dietary interventions, to discover individualized inflammatory and metabolic responses; and deep individualized profiling, to reveal large-scale molecular fluctuations as well as thousands of molecular relationships associated with intra-day physiological variations (in heart rate, for example) and with the levels of clinical biomarkers (specifically, glucose and cortisol) and of physical activity. Combining wearables and multi-omics microsampling for frequent and scalable omics may facilitate dynamic health profiling and biomarker discovery.

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Real time health monitoring through urine metabolomics

Cited by 5 publications

References 34 publications

Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review

Volatile Organic Compounds Analysis as a Potential Novel Screening Tool for Breast Cancer: A Systematic Review

Metabolomics Profiles of Smokers from Two Ethnic Groups with Differing Lung Cancer Risk

Multi-omics microsampling for the profiling of lifestyle-associated changes in health

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