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2-Aminoadipic acid is a biomarker for diabetes risk.

ABSTRACT: Improvements in metabolite-profiling techniques are providing increased breadth of coverage of the human metabolome and may highlight biomarkers and pathways in common diseases such as diabetes. Using a metabolomics platform that analyzes intermediary organic acids, purines, pyrimidines, and other compounds, we performed a nested case-control study of 188 individuals who developed diabetes and 188 propensity-matched controls from 2,422 normoglycemic participants followed for 12 years in the Framingham Heart Study. The metabolite 2-aminoadipic acid (2-AAA) was most strongly associated with the risk of developing diabetes. Individuals with 2-AAA concentrations in the top quartile had greater than a 4-fold risk of developing diabetes. Levels of 2-AAA were not well correlated with other metabolite biomarkers of diabetes, such as branched chain amino acids and aromatic amino acids, suggesting they report on a distinct pathophysiological pathway. In experimental studies, administration of 2-AAA lowered fasting plasma glucose levels in mice fed both standard chow and high-fat diets. Further, 2-AAA treatment enhanced insulin secretion from a pancreatic ? cell line as well as murine and human islets. These data highlight a metabolite not previously associated with diabetes risk that is increased up to 12 years before the onset of overt disease. Our findings suggest that 2-AAA is a marker of diabetes risk and a potential modulator of glucose homeostasis in humans.

SUBMITTER: Wang TJ

PROVIDER: S-EPMC3784523 | biostudies-literature | 2013 Oct

REPOSITORIES: biostudies-literature

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2-Aminoadipic acid is a biomarker for diabetes risk.

Wang Thomas J TJ Ngo Debby D Psychogios Nikolaos N Dejam Andre A Larson Martin G MG Vasan Ramachandran S RS Ghorbani Anahita A O'Sullivan John J Cheng Susan S Rhee Eugene P EP Sinha Sumita S McCabe Elizabeth E Fox Caroline S CS O'Donnell Christopher J CJ Ho Jennifer E JE Florez Jose C JC Magnusson Martin M Pierce Kerry A KA Souza Amanda L AL Yu Yi Y Carter Christian C Light Peter E PE Melander Olle O Clish Clary B CB Gerszten Robert E RE

The Journal of clinical investigation 20130916 10

Improvements in metabolite-profiling techniques are providing increased breadth of coverage of the human metabolome and may highlight biomarkers and pathways in common diseases such as diabetes. Using a metabolomics platform that analyzes intermediary organic acids, purines, pyrimidines, and other compounds, we performed a nested case-control study of 188 individuals who developed diabetes and 188 propensity-matched controls from 2,422 normoglycemic participants followed for 12 years in the Fram ...[more]

PMID: 24091325

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Project description:IntroductionPlasma levels of the metabolite alpha-aminoadipic acid (2-AAA) have been associated with risk of type 2 diabetes (T2D) and atherosclerosis. However, little is known about the relationship of 2-AAA to other cardiometabolic risk markers in pre-disease states, or in the setting of comorbid disease.MethodsWe measured circulating 2-AAA using two methods in 1) a sample of 261 healthy individuals (2-AAA Study), and 2) in a sample of 134 persons comprising 110 individuals with treated HIV, with or without T2D, a population at high risk of metabolic disease and cardiovascular events despite suppression of circulating virus, and 24 individuals with T2D without HIV (HATIM Study). We examined associations between plasma 2-AAA and markers of cardiometabolic health within each cohort.Results and discussionWe observed differences in 2-AAA by sex and race in both cohorts, with higher levels observed in men compared with women, and in Asian compared with Black or white individuals (P<0.05). There was no significant difference in 2-AAA by HIV status within individuals with T2D in the HATIM Study. We confirmed associations between 2-AAA and dyslipidemia in both cohorts, where high 2-AAA associated with low HDL cholesterol (P<0.001) and high triglycerides (P<0.05). As expected, within the cohort of people with HIV, 2-AAA was higher in the setting of T2D compared to pre-diabetes or normoglycemia (P<0.001). 2-AAA was positively associated with body mass index (BMI) in the 2-AAA Study, and with waist circumference and measures of visceral fat volume in HATIM (all P<0.05). Further, 2-AAA associated with increased liver fat in persons with HIV (P<0.001). Our study confirms 2-AAA as a marker of cardiometabolic risk in both healthy individuals and those at high cardiometabolic risk, reveals relationships with adiposity and hepatic steatosis, and highlights important differences by sex and race. Further studies are warranted to establish molecular mechanisms linking 2-AAA to disease in other high-risk populations.

Project description:Plasma levels of the metabolite alpha-aminoadipic acid (2-AAA) have been associated with risk of type 2 diabetes (T2D) and atherosclerosis. However, little is known about the relationship of 2-AAA to other cardiometabolic risk markers in pre-disease states, or in the setting of comorbid disease. We measured circulating 2-AAA using two methods in 1) a sample of 261 healthy individuals (2-AAA Study), and 2) in a sample of 134 persons comprising 110 individuals with treated HIV, with or without T2D, a population at high risk of metabolic disease and cardiovascular events despite suppression of circulating virus, and 24 individuals with T2D without HIV (HATIM Study). We examined associations between plasma 2-AAA and markers of cardiometabolic health within each cohort. We observed differences in 2-AAA by sex and race in both cohorts, with higher levels observed in men compared with women, and in Asian compared with Black or white individuals (P<0.05). There was no significant difference in 2-AAA by HIV status within individuals with T2D in the HATIM Study. We confirmed associations between 2-AAA and dyslipidemia in both cohorts where high 2-AAA associated with low HDL cholesterol (P<0.001) and high triglycerides (P<0.05). As expected, within the cohort of people with HIV, 2-AAA was higher in the setting of T2D compared to pre-diabetes or normoglycemia (P<0.001). 2-AAA was positively associated with body mass index (BMI) in the 2-AAA Study, and with waist circumference and measures of visceral fat volume in HATIM (all P<0.05). Further, 2-AAA associated with increased liver fat in persons with HIV (P<0.001). Our study confirms 2-AAA as a marker of cardiometabolic risk in both healthy individuals and those at high cardiometabolic risk, reveals relationships with adiposity and hepatic steatosis, and highlights important differences by sex and race. Further studies are warranted to establish molecular mechanisms linking 2-AAA to disease in other high-risk populations.

Project description:Purpose: To evaluate the effects of a single oral dose of pyridoxine on lysine metabolites including α-aminoadipic semialdehyde (a-AASA), piperideine-6-carboxylate (P6C), the sum of AASA and P6C (AASA-P6C), pipecolic acid (PA), and α-aminoadipic acid (α-AAA) in PDE patients. Methods: The lysine metabolites of 15 patients with molecularly confirmed PDE were detected before and 4 h after taking a single oral dose of pyridoxine, respectively, using liquid chromatography-mass spectrometry (LC-MS/MS) method. Five types of samples were freshly prepared, including plasma, serum, dried blood spots (DBS), urine, and dried urine spots (DUS). Results: All the patients had been treated with long-term oral pyridoxine for several months to years, with doses of 30-360 mg/d. The concentrations of a-AASA, P6C, AASA-P6C, PA, and a-AAA before and after taking a single oral dose of pyridoxine for the same analyte detected in the same type of sample varied among patients. The mean concentrations increased in almost all the metabolites after taking an oral dose of pyridoxine, with or without statistical significance. Whereas, the metabolites concentrations might increase or decrease among different patients, or in different samples of the same patient, without a regular tendency. There was no statistical correlation between the concentrations before and after taking pyridoxine in the same type of sample for most metabolites. Conclusions: No obvious relationship between the metabolite levels or concentration differences and the age, pyridoxine dose (a single oral dose and long-term maintenance dose), duration of treatment, or neurodevelopmental phenotype was found at present study. The large individual differences among patients, probably affected by various genotypes, leading to quite different effects of pyridoxine on the change degree of metabolites concentrations. Our study suggested that long-term pyridoxine treatment could control seizures rather than getting toxic lysine metabolites such as a-AASA and P6C back to normal. In the future, more therapies should be focused to alleviate the metabolites accumulation and further improve the prognosis of PDE.

Project description:ObjectivesThis study evaluated the application of a biomarker-based risk score to identify individuals with dysglycemia who are at high risk for incident heart failure (HF) and to inform allocation of effective preventive interventions.BackgroundRisk stratification tools to identify patients with diabetes and pre-diabetes at highest risk for HF are needed to inform cost-effective allocation of preventive therapies. Whether a biomarker score can meaningfully stratify HF risk is unknown.MethodsParticipants free of cardiovascular disease from 3 cohort studies (ARIC [Atherosclerosis Risk In Communities], DHS [Dallas Heart Study], and MESA [Multi-Ethnic Study of Atherosclerosis]) were included. An integer-based biomarker score included high-sensitivity cardiac troponin T ≥6 ng/l, N-terminal pro-B-type natriuretic peptide ≥125 pg/ml, high-sensitivity C-reactive protein ≥3 mg/l, and left ventricular hypertrophy by electrocardiography, with 1 point for each abnormal parameter. The 5-year risk of HF was estimated among participants with diabetes and pre-diabetes across biomarker score groups (0 to 4).ResultsThe primary analysis included 6,799 participants with dysglycemia (diabetes: 33.2%; pre-diabetes: 66.8%). The biomarker score demonstrated good discrimination and calibration for predicting 5- and 10-year HF risk among pre-diabetes and diabetes cohorts. The 5-year risk of HF among subjects with a biomarker score of ≤1 was low and comparable to participants with euglycemia (0.78%). The 5-year risk for HF increased in a graded fashion with an increasing biomarker score, with the highest risk noted among those with scores of ≥3 (diabetes: 12.0%; pre-diabetes: 7.8%). The estimated number of HF events that could be prevented using a sodium-glucose cotransporter-2 inhibitor per 1,000 treated subjects over 5 years was 11 for all subjects with diabetes and ranged from 4 in the biomarker score zero group to 44 in the biomarker score ≥3 group.ConclusionsAmong adults with diabetes and pre-diabetes, a biomarker score can stratify HF risk and inform allocation of HF prevention therapies.

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2-Aminoadipic acid is a biomarker for diabetes risk.

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2-Aminoadipic acid is a biomarker for diabetes risk.

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