Jaime Uribarri1, Weijing Cai, Mark Woodward, Elizabeth Tripp, Laurie Goldberg, Renata Pyzik, Kalle Yee, Laurie Tansman, Xue Chen, Venkatesh Mani, Zahi A Fayad, Helen Vlassara. 1. Department of Geriatrics, Division of Experimental Diabetes (W.C., E.T., L.G., R.P., K.Y., L.T., X.C., H.V.), Department of Medicine, Division of Nephrology (J.U., H.V.), and Translational and Molecular Imaging Institute (V.M., Z.A.F.), The Icahn School of Medicine at Mt Sinai, New York, New York 10029; and George Institute for Global Health (M.W.), University of Oxford, Oxford OX1 3QX, United Kingdom, and University of Sydney, Sydney 2006, Australia.
Abstract
CONTEXT: Although obesity can predispose to the metabolic syndrome (MS), diabetes, and cardiovascular disease, not all obese subjects develop MS, hence the need for new indicators of risk for this syndrome. Advanced glycation end products (AGEs) correlate with factors involved in the MS, including inflammation and insulin resistance (IR). Because AGEs can be derived from food and are modifiable, it is important to determine whether they are a risk factor for MS. OBJECTIVE: The objective of this study was to assess the association of endogenous and exogenous AGEs with MS criteria. DESIGN: The following data were collected in a cross-sectional study of subjects with and without the MS: serum AGEs (sAGEs) and mononuclear cell AGEs, metabolites, pro- and antiinflammatory markers, body fat mass measures, including abdominal magnetic resonance imaging, and caloric and dietary AGE (dAGE) consumption. SETTING: The study was conducted in the general community. PARTICIPANTS: Participants included 130 MS and 139 non-MS subjects of both sexes, older than 50 years. RESULTS: sAGEs ((ϵ)N-carboxymethyllysine, methylglyoxal) were markedly elevated in obese persons with more than one other MS criteria but not in obese without MS criteria. sAGEs directly correlated with markers of IR (HOMA) and inflammation (leptin, TNFα, RAGE) and inversely with innate defenses (SIRT1, AGE receptor 1 [AGER1], glyoxalase-I, adiponectin). sAGEs correlated with dAGEs but not with calories, nutrient consumption, or fat mass measures. Consumption of dAGE, but not of calories, was markedly higher in MS than in non-MS. CONCLUSION: High sAGEs, a modifiable risk factor for IR, may indicate risk for the MS, type 2 diabetes, and cardiovascular disease. High dietary AGE consumption and serum AGE levels may link healthy obesity to at-risk obesity.
CONTEXT: Although obesity can predispose to the metabolic syndrome (MS), diabetes, and cardiovascular disease, not all obese subjects develop MS, hence the need for new indicators of risk for this syndrome. Advanced glycation end products (AGEs) correlate with factors involved in the MS, including inflammation and insulin resistance (IR). Because AGEs can be derived from food and are modifiable, it is important to determine whether they are a risk factor for MS. OBJECTIVE: The objective of this study was to assess the association of endogenous and exogenous AGEs with MS criteria. DESIGN: The following data were collected in a cross-sectional study of subjects with and without the MS: serum AGEs (sAGEs) and mononuclear cell AGEs, metabolites, pro- and antiinflammatory markers, body fat mass measures, including abdominal magnetic resonance imaging, and caloric and dietary AGE (dAGE) consumption. SETTING: The study was conducted in the general community. PARTICIPANTS: Participants included 130 MS and 139 non-MS subjects of both sexes, older than 50 years. RESULTS: sAGEs ((ϵ)N-carboxymethyllysine, methylglyoxal) were markedly elevated in obesepersons with more than one other MS criteria but not in obese without MS criteria. sAGEs directly correlated with markers of IR (HOMA) and inflammation (leptin, TNFα, RAGE) and inversely with innate defenses (SIRT1, AGE receptor 1 [AGER1], glyoxalase-I, adiponectin). sAGEs correlated with dAGEs but not with calories, nutrient consumption, or fat mass measures. Consumption of dAGE, but not of calories, was markedly higher in MS than in non-MS. CONCLUSION: High sAGEs, a modifiable risk factor for IR, may indicate risk for the MS, type 2 diabetes, and cardiovascular disease. High dietary AGE consumption and serum AGE levels may link healthy obesity to at-risk obesity.
Authors: Helen Vlassara; Jaime Uribarri; Weijing Cai; Susan Goodman; Renata Pyzik; James Post; Fabrizio Grosjean; Mark Woodward; Gary E Striker Journal: Clin J Am Soc Nephrol Date: 2012-03-29 Impact factor: 8.237
Authors: Weijing Cai; Maya Ramdas; Li Zhu; Xue Chen; Gary E Striker; Helen Vlassara Journal: Proc Natl Acad Sci U S A Date: 2012-08-20 Impact factor: 11.205
Authors: Helen Vlassara; Weijing Cai; Susan Goodman; Renata Pyzik; Angie Yong; Xue Chen; Li Zhu; Tina Neade; Michal Beeri; Jeremy M Silverman; Luigi Ferrucci; Laurie Tansman; Gary E Striker; Jaime Uribarri Journal: J Clin Endocrinol Metab Date: 2009-10-09 Impact factor: 5.958
Authors: Jiankang Liu; DeMarc A Hickson; Solomon K Musani; Sameera A Talegawkar; Teresa C Carithers; Katherine L Tucker; Caroline S Fox; Herman A Taylor Journal: Obesity (Silver Spring) Date: 2013-03 Impact factor: 5.002
Authors: Rani Polak; Amir Tirosh; Barbara Livingston; David Pober; James E Eubanks; Julie K Silver; Kaya Minezaki; Roni Loten; Edward M Phillips Journal: Curr Diab Rep Date: 2018-09-14 Impact factor: 4.810
Authors: Helen Vlassara; Weijing Cai; Elizabeth Tripp; Renata Pyzik; Kalle Yee; Laurie Goldberg; Laurie Tansman; Xue Chen; Venkatesh Mani; Zahi A Fayad; Girish N Nadkarni; Gary E Striker; John C He; Jaime Uribarri Journal: Diabetologia Date: 2016-07-29 Impact factor: 10.122