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Academic literature on the topic 'Sugars urinary biomarker'
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Journal articles on the topic "Sugars urinary biomarker"
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Tasevska, Natasha. "Urinary Sugars—A Biomarker of Total Sugars Intake." Nutrients 7, no. 7 (July 15, 2015): 5816–33. http://dx.doi.org/10.3390/nu7075255.
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Beasley, JM, M. Jung, N. Tasevska, WW Wong, AM Siega-Riz, D. Sotres-Alvarez, MD Gellman, et al. "Biomarker-predicted sugars intake compared with self-reported measures in US Hispanics/Latinos: results from the HCHS/SOL SOLNAS study." Public Health Nutrition 19, no. 18 (June 24, 2016): 3256–64. http://dx.doi.org/10.1017/s1368980016001580.
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AbstractObjectiveMeasurement error in self-reported total sugars intake may obscure associations between sugars consumption and health outcomes, and the sum of 24 h urinary sucrose and fructose may serve as a predictive biomarker of total sugars intake.DesignThe Study of Latinos: Nutrition & Physical Activity Assessment Study (SOLNAS) was an ancillary study to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) cohort. Doubly labelled water and 24 h urinary sucrose and fructose were used as biomarkers of energy and sugars intake, respectively. Participants’ diets were assessed by up to three 24 h recalls (88 % had two or more recalls). Procedures were repeated approximately 6 months after the initial visit among a subset of ninety-six participants.SettingFour centres (Bronx, NY; Chicago, IL; Miami, FL; San Diego, CA) across the USA.SubjectsMen and women (n 477) aged 18–74 years.ResultsThe geometric mean of total sugars was 167·5 (95 % CI 154·4, 181·7) g/d for the biomarker-predicted and 90·6 (95 % CI 87·6, 93·6) g/d for the self-reported total sugars intake. Self-reported total sugars intake was not correlated with biomarker-predicted sugars intake (r=−0·06, P=0·20, n 450). Among the reliability sample (n 90), the reproducibility coefficient was 0·59 for biomarker-predicted and 0·20 for self-reported total sugars intake.ConclusionsPossible explanations for the lack of association between biomarker-predicted and self-reported sugars intake include measurement error in self-reported diet, high intra-individual variability in sugars intake, and/or urinary sucrose and fructose may not be a suitable proxy for total sugars intake in this study population.
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Tasevska, Natasha, Virag Sagi-Kiss, Susana A. Palma-Duran, Brian Barrett, Matthew Chaloux, John Commins, Diane M. O'Brien, et al. "Investigating the performance of 24-h urinary sucrose and fructose as a biomarker of total sugars intake in US participants – a controlled feeding study." American Journal of Clinical Nutrition 114, no. 2 (May 24, 2021): 721–30. http://dx.doi.org/10.1093/ajcn/nqab158.
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ABSTRACT Background Developing approaches for the objective assessment of sugars intake in population research is crucial for generating reliable disease risk estimates, and evidence-based dietary guidelines. Twenty-four-hour urinary sucrose and fructose (24uSF) was developed as a predictive biomarker of total sugars intake based on 3 UK feeding studies, yet its performance as a biomarker of total sugars among US participants is unknown. Objectives To investigate the performance of 24uSF as a biomarker of sugars intake among US participants, and to characterize its use. Methods Ninety-eight participants, aged 18–70 y, consumed their usual diet under controlled conditions of a feeding study for 15 d, and collected 8 nonconsecutive 24-h urines measured for sucrose and fructose. Results A linear mixed model regressing log 24uSF biomarker on log total sugars intake along with other covariates explained 56% of the biomarker variance. Total sugars intake was the strongest predictor in the model (Marginal R2 = 0.52; P <0.0001), followed by sex (P = 0.0002) and log age (P = 0.002). The equation was then inverted to solve for total sugars intake, thus generating a calibrated biomarker equation. Calibration of the biomarker produced mean biomarker-based log total sugars of 4.79 (SD = 0.59), which was similar to the observed log 15-d mean total sugars intake of 4.69 (0.35). The correlation between calibrated biomarker and usual total sugars intake was 0.59 for the calibrated biomarker based on a single biomarker measurement, and 0.76 based on 4 biomarker repeats spaced far apart. Conclusions In this controlled feeding study, total sugars intake was the main determinant of 24uSF confirming its utility as a biomarker of total sugars in this population. Next steps will include validation of stability assumptions of the biomarker calibration equation proposed here, which will allow its use as an instrument for dietary validation and measurement error correction in diet-disease association studies.
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Louie, Jimmy Chun Yu. "Objective Biomarkers for Total Added Sugar Intake – Are We on a Wild Goose Chase?" Advances in Nutrition 11, no. 6 (August 17, 2020): 1429–36. http://dx.doi.org/10.1093/advances/nmaa093.
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ABSTRACT Misreporting of added sugar intake has been the major criticism of studies linking high added sugar consumption to adverse health outcomes. Despite the advancement in dietary assessment methodologies, the bias introduced by self-reporting can never be completely eliminated. The search for an objective biomarker for total added sugar intake has therefore been a topic of interest. In this article, the reasons this search may be a wild goose chase will be outlined and discussed. The limitations and inability of the 2 candidate biomarkers, namely urinary sucrose and fructose and δ¹³C isotope, which are based on the 2 only possible ways (i.e., difference in metabolism and plant sources) to identify added sugar based on current knowledge in human physiology and food and nutritional sciences, are discussed in detail. Validation studies have shown that these 2 candidate biomarkers are unlikely to be suitable for use as a predictive or calibration biomarker for total added sugar intake. Unless advancement in our understanding in human physiology and food and nutritional sciences leads to new potential ways to distinguish between naturally occurring and added sugars, it is extremely unlikely that any accurate objective added sugar biomarker could be found. It may be time to stop the futile effort in searching for such a biomarker, and resources may be better spent on further improving and innovating dietary assessment methods to minimize the bias introduced by self-reporting.
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Gallagher, Alison M., and Caomhán Logue. "Biomarker approaches to assessing intakes and health impacts of sweeteners: challenges and opportunities." Proceedings of the Nutrition Society 78, no. 3 (April 26, 2019): 463–72. http://dx.doi.org/10.1017/s0029665119000594.
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The term ‘sweeteners’ encompasses both nutritive and non-nutritive sweeteners, which when added to food/beverages, can enhance the flavour and other functional properties of food/beverage products. This review considers how dietary biomarker approaches may enhance current understanding of nutritive sweetener (namely free sugars) and non-nutritive or low-energy sweetener (LES) intakes and how these may impact health. Recent public health strategies to reduce free sugar consumption will help contribute to challenging sugar intake targets. Robust evaluation is needed to determine the effectiveness of these approaches to reducing free sugar consumption. LES provides a sweet taste without the addition of appreciable energy and can help maintain the palatability of reformulated products. All LES undergo rigorous safety evaluations prior to approval for use. Whilst intervention data suggest LES can be beneficial for health (relating to weight status and glycaemic control), debate persists on their use and findings from population-based research are mixed, in part because of potential contributing factors such as reverse causality. Additionally, assessments often consider only certain sources of LES (e.g. LES-beverages) and/or LES as a homogeneous group despite differing biological fates, thus not adequately capturing intakes of individual LES or allowing for reliable estimation of overall intakes. Urinary biomarker approaches developed/investigated for sweetener consumption have the potential to overcome existing limitations of dietary data by providing more objective intake data, thereby enhancing population-based research. In conclusion, such biomarker approaches to the concomitant study of free sugars and LES intakes are timely and represent interesting developments in an area of significant public health interest.
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Tasevska, N., S. A. Runswick, A. A. Welch, A. McTaggart, and S. A. Bingham. "Urinary sugars biomarker relates better to extrinsic than to intrinsic sugars intake in a metabolic study with volunteers consuming their normal diet." European Journal of Clinical Nutrition 63, no. 5 (February 27, 2008): 653–59. http://dx.doi.org/10.1038/ejcn.2008.21.
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Tasevska, Natasha, Douglas Midthune, Lesley F. Tinker, Nancy Potischman, Johanna W. Lampe, Marian L. Neuhouser, Jeannette M. Beasley, Linda Van Horn, Ross L. Prentice, and Victor Kipnis. "Use of a Urinary Sugars Biomarker to Assess Measurement Error in Self-Reported Sugars Intake in the Nutrition and Physical Activity Assessment Study (NPAAS)." Cancer Epidemiology Biomarkers & Prevention 23, no. 12 (September 18, 2014): 2874–83. http://dx.doi.org/10.1158/1055-9965.epi-14-0594.
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Ávila-Gálvez, María Ángeles, Juan Antonio Giménez-Bastida, Antonio González-Sarrías, and Juan Carlos Espín. "New Insights into the Metabolism of the Flavanones Eriocitrin and Hesperidin: A Comparative Human Pharmacokinetic Study." Antioxidants 10, no. 3 (March 11, 2021): 435. http://dx.doi.org/10.3390/antiox10030435.
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The intake of hesperidin-rich sources, mostly found in orange juice, can decrease cardiometabolic risk, potentially linked to the gut microbial phase-II hesperetin derivatives. However, the low hesperidin solubility hampers its bioavailability and microbial metabolism, yielding a high inter-individual variability (high vs. low-producers) that prevents consistent health-related evidence. Contrarily, the human metabolism of (lemon) eriocitrin is hardly known. We hypothesize that the higher solubility of (lemon) eriocitrin vs. (orange) hesperidin might yield more bioavailable metabolites than hesperidin. A randomized-crossover human pharmacokinetic study (n = 16) compared the bioavailability and metabolism of flavanones from lemon and orange extracts and postprandial changes in oxidative, inflammatory, and metabolic markers after a high-fat-high-sugars meal. A total of 17 phase-II flavanone-derived metabolites were identified. No significant biomarker changes were observed. Plasma and urinary concentrations of all metabolites, including hesperetin metabolites, were higher after lemon extract intake. Total plasma metabolites showed significantly mean lower Tmax (6.0 ± 0.4 vs. 8.0 ± 0.5 h) and higher Cmax and AUC values after lemon extract intake. We provide new insights on hesperetin-eriodictyol interconversion and naringenin formation from hesperidin in humans. Our results suggest that regular consumption of a soluble and eco-friendly eriocitrin-rich lemon extract could provide a circulating concentration metabolites threshold to exert health benefits, even in the so-called low-producers.
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Mack, Carina I., Christoph H. Weinert, Björn Egert, Paola G. Ferrario, Achim Bub, Ingrid Hoffmann, Bernhard Watzl, Hannelore Daniel, and Sabine E. Kulling. "The complex human urinary sugar profile: determinants revealed in the cross-sectional KarMeN study." American Journal of Clinical Nutrition 108, no. 3 (September 1, 2018): 502–16. http://dx.doi.org/10.1093/ajcn/nqy131.
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ABSTRACT Background Although sugars and sugar derivatives are an important class of metabolites involved in many physiologic processes, there is limited knowledge on their occurrence and pattern in biofluids. Objective Our aim was to obtain a comprehensive urinary sugar profile of healthy participants and to demonstrate the wide applicability and usefulness of this sugar profiling approach for nutritional as well as clinical studies. Design In the cross-sectional KarMeN study, the 24-h urine samples of 301 healthy participants on an unrestricted diet, assessed via a 24-h recall, were analyzed by a newly developed semitargeted gas chromatography–mass spectrometry (GC-MS) profiling method that enables the detection of known and unknown sugar compounds. Statistical analyses were performed with respect to associations of sex and diet with the urinary sugar profile. Results In total, 40 known and 15 unknown sugar compounds were detected in human urine, ranging from mono- and disaccharides, polyols, and sugar acids to currently unknown sugar-like compounds. A number of rarely analyzed sugars were found in urine samples. Maltose was found in statistically higher concentrations in the urine of women compared with men and was also associated with menopausal status. Further, a number of individual sugar compounds associated with the consumption of specific foods, such as avocado, or food groups, such as alcoholic beverages and dairy products, were identified. Conclusions We here provide data on the complex nature of the sugar profile in human urine, of which some compounds may have the potential to serve as dietary markers or early disease biomarkers. Thus, comprehensive urinary sugar profiling not only has the potential to increase our knowledge of host sugar metabolism, but can also reveal new dietary markers after consumption of individual food items, and may lead to the identification of early disease biomarkers in the future. The KarMeN study was registered at drks.de as DRKS00004890.
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Boutin, Michel, Pamela Lavoie, Iskren Menkovic, Amanda Toupin, Mona Abaoui, Maha Elidrissi-Elawad, Marie-Françoise Arthus, et al. "Diurnal Variation of Urinary Fabry Disease Biomarkers during Enzyme Replacement Therapy Cycles." International Journal of Molecular Sciences 21, no. 17 (August 25, 2020): 6114. http://dx.doi.org/10.3390/ijms21176114.
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Fabry disease is an X-linked lysosomal storage disorder caused by mutations in the GLA gene encoding the α-galactosidase A enzyme. This enzyme cleaves the last sugar unit of glycosphingolipids, including globotriaosylceramide (Gb3), globotriaosylsphingosine (lyso-Gb3), and galabiosylceramide (Ga2). Enzyme impairment leads to substrate accumulation in different organs, vascular endothelia, and biological fluids. Enzyme replacement therapy (ERT) is a commonly used treatment. Urinary analysis of Gb3 isoforms (different fatty acid moieties), as well as lyso-Gb3 and its analogues, is a reliable way to monitor treatment. These analogues correspond to lyso-Gb3 with chemical modifications on the sphingosine moiety (−C2H4, −C2H4+O, −H2, −H2+O, +O, +H2O2, and +H2O3). The effects of sample collection time on urinary biomarker levels between ERT cycles were not previously documented. The main objective of this project was to analyze the aforementioned biomarkers in urine samples from seven Fabry disease patients (three treated males, three treated females, and one ERT-naïve male) collected twice a day (morning and evening) for 42 days (three ERT cycles). Except for one participant, our results show that the biomarker levels were generally more elevated in the evening. However, there was less variability in samples collected in the morning. No cyclic variations in biomarker levels were observed between ERT infusions.
Dissertations / Theses on the topic "Sugars urinary biomarker"
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Liu, Sarah Victoria. "Assessment of the Validity, Reliability, and Sensitivity of Fingerstick δ¹³C as an Added Sugar Biomarker in Adolescents: A Controlled Feeding Study Approach." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/85835.
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An estimated 20.5% of adolescents ages 12 – 19 years were obese (≥95th percentile of BMI-for-age) in 2011 – 2014. Consumption of added sugars (AS) has been linked with adverse effects on weight and cardiovascular disease risk factors. Approximately 16% of adolescents’ calories come from AS, of which sugar-sweetened beverages (SSB) are a major contributor. However, the relationship between AS/SSB intake and obesity is controversial, partly due to limitations in self-reported dietary data. Objective dietary intake biomarkers may circumvent this problem. The δ13C biomarker for AS intake is based upon the fact that C4 plants– major source for sugar production in the United States – have elevated δ¹³C values compared to C3 plants, which includes most fruits and vegetables. The δ¹³C value of blood, which is influenced by diet, has been established as a valid, reliable, and sensitive biomarker, but when compared to selfreported AS intake. This investigation evaluated the sensitivity and reliability of the δ13C biomarker, assessed with fingerstick blood samples, in adolescents using a controlled feeding, crossover design. Fingerstick δ¹³C values significantly changed by -0.05‰ and +0.03‰ after subjects completed the 5% and 25% AS diets, respectively (F(1, 30) = 18.828, p < 0.001). High reliability was found between two consecutive fingerstick δ¹³C values on the low (ICC = 0.996) and high (ICC = 0.997) AS diets. Thus, fingerstick δ¹³C may be a sensitive and reliable indicator of AS intake in adolescents. Future investigations should develop an equation to estimate AS intake based on fingerstick δ¹³CMaster of Science
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Moore, Lori Beth. "Establishing Urinary Biomarkers as Objective Indicators of Dietary Intake In Adolescents." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/77962.
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Obesity is a public health concern and cardiometabolic consequences are severe when obesity develops during youth and continues into adulthood. Treatment prior to adulthood confers health benefits, but adolescent obesity rates have continually increased, reaching 20.6% in 2013-2014. Quality and quantity of dietary intake contribute to the development of obesity, but limitations of self-reported dietary intake are evident in overweight or obese adolescents, who frequently misreport nutrients of concern. Added sugar, sodium, and protein intake may indicate diet quality in this population. The 2015-2020 Dietary Guidelines recommend decreasing consumption of added sugars, sodium, and processed protein due to their known contributions to overweight and obesity. Objective dietary intake assessment measures are necessary for investigating the association between dietary intake and health outcomes. Added sugar, sodium, and protein intake could be assessed objectively with a panel of urinary biomarkers. Prior research indicates the potential of these urinary biomarkers to reflect dietary intake, but to date, no controlled feeding study has been conducted in adolescents. Using a controlled feeding design, the current study aims to evaluate the validity of urinary sucrose, fructose, sodium, and nitrogen as objective indicators of dietary intake. It is hypothesized that urinary sucrose and fructose will reflect dietary added sugar intake, while urinary sodium and nitrogen will correspond to dietary sodium and protein intake, respectively, in a healthy adolescent population. These biomarkers, if valid, could be used in clinical and epidemiological research to improve understanding of the associations between dietary intake and health outcomes.Master of Science
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"Effects of Physical Activity on the Performance of 24-h Urinary Sucrose and Fructose as a Biomarker of Total Sugars Intake." Master's thesis, 2019. http://hdl.handle.net/2286/R.I.53467.
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abstract: Urinary sucrose and fructose has been suggested as a predictive biomarker of total sugars intake based on research involving UK adults. The purpose of this study was to determine the association between total sugars consumption and 24-hour urinary sucrose and fructose (24uSF) in US adult population and to investigate the effect of physical activity on this association. Fifty seven free-living healthy subjects 20 to 68 years old, participated in a 15-day highly controlled feeding study, consuming their habitual diet, provided by the research metabolic kitchen. Dietary sugars were estimated using Nutrition Data System for Research (NDSR). Subjects collected eight 24-hour urine samples measured for urinary sucrose and fructose. Physical activity was assessed daily using a validated 15-day log that inquired about 38 physical activities across six domains; home activities, transportation, occupation, conditioning, sports and leisure. The mean total sugars intake and added sugars intake of the sample was 112.2 (33.1) g/day and 65.8 (29.0) g/day (9.7%EI), respectively. Significant moderate positive correlation was found between 15-d mean total sugars intake and 8-day mean 24uSF (r = 0.56, p < 0.001). Similarly, added sugars were moderately correlated with 24uSF (r = 0.56, p < 0.001), while no correlation was found between naturally-occurring sugars and 24uSF (r = 0.070, p < 0.001). In a linear multiple regression, total and added sugars each explained 30% of variability in 24uSF (Adjusted R2, p value; total sugars: 0.297, 0.001; added sugars: 0.301, p < 0.001). Physical activity had no effect on the association between dietary and urinary sugars in neither the correlation nor the linear regression analysis. 24uSF can be used as a biomarker for total and added sugars consumption in US adults, although its predictability was weaker compared to findings involving UK adults. No evidence was found showing that physical activity levels affect the association between 24uSF and total sugars intake in US adults. More detailed investigation through future feeding studies including subjects with wide range of sugars intake and of different ethnic/racial backgrounds are needed to better understand the characteristics of the biomarker and its uses.Dissertation/Thesis
Masters Thesis Nutrition 2019