Literature DB >> 34734482

Changes in OGTT-derived biomarkers in response to lifestyle intervention among Latino adolescents with obesity.

Armando Peña1,2, Joon Young Kim3, Jessica A Reyes4, Kiley B Vander Wyst5, Stephanie L Ayers6, Micah L Olson1,7, Allison N Williams1, Gabriel Q Shaibi1,2,7.   

Abstract

BACKGROUND: Glucose concentrations during an oral glucose tolerance test (OGTT) have been used as biomarkers to differentiate type 2 diabetes risk phenotypes. No studies have examined changes in OGTT-glucose phenotypes following lifestyle intervention among high-risk youth.
OBJECTIVE: To examine changes in OGTT-glucose phenotypes following lifestyle intervention and to explore differences in insulin sensitivity and β-cell function among post-intervention phenotypes.
METHODS: Latino adolescents with obesity (n = 48, age 15.4 ± 1.0, BMI% 98.2 ± 1.4, female 56.3%) completed a 12-week lifestyle intervention that included weekly nutrition education and physical activity. At baseline and 12 weeks, youth completed a 2-h OGTT with glucose and insulin concentrations assessed at 0', 30', 60', 90' and 120'. Glucose concentrations during the OGTT were used to identify biomarkers, 1-h glucose, glucose response curve and time to glucose peak. Using these respective biomarkers, high-risk (1-h glucose ≥ 155 mg/dl, Monophasic, Late Peak) and lower-risk phenotypes (1-h glucose < 155 mg/dl, Biphasic, Early Peak) were categorized. Insulin sensitivity was estimated by whole-body insulin sensitivity index (WBISI) and β-cell function by oral disposition index (oDI).
RESULTS: Following intervention, the prevalence of Monophasic phenotypes decreased from 81% to 67% (p = 0.048) and 1-h glucose ≥ 155 mg/dl from 38% to 10% (p = 0.054). Although Late Peak phenotypes did not significantly change (from 58% to 29%, p = 0.200), Early Peak phenotypes at post-intervention demonstrated significantly higher WBISI compared to Late Peak (2.3 ± 0.1 vs 1.7 ± 0.2, p = 0.023).
CONCLUSIONS: OGTT-glucose phenotypes improve following lifestyle intervention among high-risk youth. These findings further support their potential utility as clinical biomarkers to identify diabetes risk and risk reduction in youth.
© 2021 World Obesity Federation.

Entities:  

Keywords:  diabetes prevention; exercise; health behaviour; nutrition; physical activity

Mesh:

Substances:

Year:  2021        PMID: 34734482      PMCID: PMC8923905          DOI: 10.1111/ijpo.12867

Source DB:  PubMed          Journal:  Pediatr Obes        ISSN: 2047-6302            Impact factor:   4.000


  42 in total

1.  Relationships of Early And Late Glycemic Responses With Gastric Emptying During An Oral Glucose Tolerance Test.

Authors:  Chinmay S Marathe; Michael Horowitz; Laurence G Trahair; Judith M Wishart; Michelle Bound; Kylie Lange; Christopher K Rayner; Karen L Jones
Journal:  J Clin Endocrinol Metab       Date:  2015-07-14       Impact factor: 5.958

2.  Mechanism and effects of glucose absorption during an oral glucose tolerance test among females and males.

Authors:  Christian Anderwald; Amalia Gastaldelli; Andrea Tura; Michael Krebs; Miriam Promintzer-Schifferl; Alexandra Kautzky-Willer; Marietta Stadler; Ralph A DeFronzo; Giovanni Pacini; Martin G Bischof
Journal:  J Clin Endocrinol Metab       Date:  2010-12-08       Impact factor: 5.958

3.  The Shape of the Glucose Response Curve During an Oral Glucose Tolerance Test: Forerunner of Heightened Glycemic Failure Rates and Accelerated Decline in β-Cell Function in TODAY.

Authors:  Silva Arslanian; Laure El Ghormli; Joon Young Kim; Fida Bacha; Christine Chan; Heba M Ismail; Lorraine E Levitt Katz; Lynne Levitsky; Jeanie B Tryggestad; Neil H White
Journal:  Diabetes Care       Date:  2018-11-19       Impact factor: 19.112

4.  Insulin resistance and inflammation markers: correlations in obese adolescents.

Authors:  María J Aguilar; Emilio González-Jiménez; Aránzazu Antelo; Javier S Perona
Journal:  J Clin Nurs       Date:  2012-12-06       Impact factor: 3.036

5.  Metabolic and Genetic Determinants of Glucose Shape After Oral Challenge in Obese Youths: A Longitudinal Study.

Authors:  Alfonso Galderisi; Domenico Tricò; Chiara Dalla Man; Nicola Santoro; Bridget Pierpont; Leif Groop; Claudio Cobelli; Sonia Caprio
Journal:  J Clin Endocrinol Metab       Date:  2020-02-01       Impact factor: 5.958

6.  Glucose response curve and type 2 diabetes risk in Latino adolescents.

Authors:  Joon Young Kim; Dawn K Coletta; Lawrence J Mandarino; Gabriel Q Shaibi
Journal:  Diabetes Care       Date:  2012-06-29       Impact factor: 19.112

7.  Effects of Low versus High Glycemic Index Sugar-Sweetened Beverages on Postprandial Vasodilatation and Inactivity-Induced Impairment of Glucose Metabolism in Healthy Men.

Authors:  Judith Keller; Julia Kahlhöfer; Andreas Peter; Anja Bosy-Westphal
Journal:  Nutrients       Date:  2016-12-10       Impact factor: 5.717

8.  The rs7903146 Variant in the TCF7L2 Gene Increases the Risk of Prediabetes/Type 2 Diabetes in Obese Adolescents by Impairing β-Cell Function and Hepatic Insulin Sensitivity.

Authors:  Catrina Cropano; Nicola Santoro; Leif Groop; Chiara Dalla Man; Claudio Cobelli; Alfonso Galderisi; Romy Kursawe; Bridget Pierpont; Martina Goffredo; Sonia Caprio
Journal:  Diabetes Care       Date:  2017-06-13       Impact factor: 19.112

9.  The shape of the glucose response curve during an oral glucose tolerance test heralds β-cell function in a large Chinese population.

Authors:  Xinqi Cheng; Na Yang; Yuxiu Li; Qi Sun; Ling Qiu; Lingling Xu; Fan Ping; Wei Li; Huabing Zhang
Journal:  BMC Endocr Disord       Date:  2019-11-05       Impact factor: 2.763

10.  Longer time to peak glucose during the oral glucose tolerance test increases cardiovascular risk score and diabetes prevalence.

Authors:  Yi-Chun Lin; Harn-Shen Chen
Journal:  PLoS One       Date:  2017-12-07       Impact factor: 3.240

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