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1.
J Clin Endocrinol Metab ; 101(2): 696-704, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26684276

RESUMO

CONTEXT: Renal disease in type 2 diabetes mellitus (T2DM) is associated with excess morbidity/mortality. Although estimated glomerular filtration rate (eGFR) and albuminuria are routine for assessing renal impairment, novel biomarkers could improve risk stratification and prediction. OBJECTIVE: To identify specific biomarkers of progression of renal dysfunction. DESIGN: Prospective observational. SETTING: Academic diabetes clinics. PATIENTS: A total of 286 T2DM patients (age, 62 ± 8 y; glycosylated hemoglobin, 7.2 ± 0.9%; eGFR, 85 ± 20 mL · min(-1) · 1.73 m(2)). INTERVENTIONS: None. MAIN OUTCOME MEASURES: Progression of eGFR and albuminuria. RESULTS: We performed screening metabolomics in serum and urine samples by gas chromatography/mass spectroscopy (MS) and ultra-high performance liquid chromatography/MS/MS. Biomarker identification was performed by random forest using an eGFR cutoff of < 60 mL · min(-1) · 1.73 m(2) or an albumin/creatinine ratio (ACR) cutoff ≥ 30 mg/g as response variables. At follow-up, eGFR had declined by 16 [9] (median [interquartile ratio]) mL · min(-1) · 1.73 m(2), and ACR had increased by 41 [135] mg/g in patients in the respective top quartile of changes from baseline. Clinical parameters (gender, age, fasting glucose, and baseline eGFR) predicted outcome, with receiver operator characteristics curve (ROC) = 0.671. The five serum metabolites best correlated with either eGFR < 60 or ACR ≥ 30 at baseline were tested for their ability to improve clinical prediction. The sum of C-glycosyl tryptophan, pseudouridine, and N-acetylthreonine (MetIndex) raised the ROC to 0.739 (P < .0001). eGFR decline was predicted by the top MetIndex quartile (odds ratio = 5.48 [95% confidence interval, 2.23-14.47]). MetIndex also predicted an ACR increase with an odds ratio of 2.82 [1.20-7.03] and a ROC of 0.750. Top urine metabolites did not add significant predictivity. CONCLUSIONS: A limited number of circulating intermediates of amino acid and nucleotide pathways carry clinically significant predictivity for deterioration of renal function in well-controlled T2DM.


Assuntos
Albuminúria/etiologia , Diabetes Mellitus Tipo 2/metabolismo , Nefropatias Diabéticas/metabolismo , Rim/fisiopatologia , Metabolômica , Idoso , Nefropatias Diabéticas/fisiopatologia , Progressão da Doença , Feminino , Seguimentos , Taxa de Filtração Glomerular , Hemoglobinas Glicadas/análise , Humanos , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Estudos Prospectivos , Medição de Risco
2.
J Clin Endocrinol Metab ; 100(5): 1855-62, 2015 May.
Artigo em Inglês | MEDLINE | ID: mdl-25603459

RESUMO

OBJECTIVE: The objective was to test the clinical utility of Quantose M(Q) to monitor changes in insulin sensitivity after pioglitazone therapy in prediabetic subjects. Quantose M(Q) is derived from fasting measurements of insulin, α-hydroxybutyrate, linoleoyl-glycerophosphocholine, and oleate, three nonglucose metabolites shown to correlate with insulin-stimulated glucose disposal. RESEARCH DESIGN AND METHODS: Participants were 428 of the total of 602 ACT NOW impaired glucose tolerance (IGT) subjects randomized to pioglitazone (45 mg/d) or placebo and followed for 2.4 years. At baseline and study end, fasting plasma metabolites required for determination of Quantose, glycated hemoglobin, and oral glucose tolerance test with frequent plasma insulin and glucose measurements to calculate the Matsuda index of insulin sensitivity were obtained. RESULTS: Pioglitazone treatment lowered IGT conversion to diabetes (hazard ratio = 0.25; 95% confidence interval = 0.13-0.50; P < .0001). Although glycated hemoglobin did not track with insulin sensitivity, Quantose M(Q) increased in pioglitazone-treated subjects (by 1.45 [3.45] mg·min(-1)·kgwbm(-1)) (median [interquartile range]) (P < .001 vs placebo), as did the Matsuda index (by 3.05 [4.77] units; P < .0001). Quantose M(Q) correlated with the Matsuda index at baseline and change in the Matsuda index from baseline (rho, 0.85 and 0.79, respectively; P < .0001) and was progressively higher across closeout glucose tolerance status (diabetes, IGT, normal glucose tolerance). In logistic models including only anthropometric and fasting measurements, Quantose M(Q) outperformed both Matsuda and fasting insulin in predicting incident diabetes. CONCLUSIONS: In IGT subjects, Quantose M(Q) parallels changes in insulin sensitivity and glucose tolerance with pioglitazone therapy. Due to its strong correlation with improved insulin sensitivity and its ease of use, Quantose M(Q) may serve as a useful clinical test to identify and monitor therapy in insulin-resistant patients.


Assuntos
Glicemia/metabolismo , Diabetes Mellitus Tipo 2/prevenção & controle , Intolerância à Glucose/diagnóstico , Hipoglicemiantes/uso terapêutico , Resistência à Insulina/fisiologia , Estado Pré-Diabético/tratamento farmacológico , Tiazolidinedionas/uso terapêutico , Adulto , Idoso , Diabetes Mellitus Tipo 2/metabolismo , Feminino , Intolerância à Glucose/metabolismo , Teste de Tolerância a Glucose , Humanos , Insulina/sangue , Masculino , Pessoa de Meia-Idade , Pioglitazona , Estado Pré-Diabético/metabolismo , Resultado do Tratamento
3.
Biochemistry ; 41(21): 6640-50, 2002 May 28.
Artigo em Inglês | MEDLINE | ID: mdl-12022867

RESUMO

In the course of a high throughput screen to search for ligands of peroxisome proliferator activated receptor-gamma (PPARgamma), we identified GW9662 using a competition binding assay against the human ligand binding domain. GW9662 had nanomolar IC(50) versus PPARgamma and was 10- and 600-fold less potent in binding experiments using PPARalpha and PPARdelta, respectively. Pretreatment of all three PPARs with GW9662 resulted in the irreversible loss of ligand binding as assessed by scintillation proximity assay. Incubation of PPAR with GW9662 resulted in a change in the absorbance spectra of the receptors consistent with covalent modification. Mass spectrometric analysis of the PPARgamma ligand binding domain treated with GW9662 established Cys(285) as the site of covalent modification. This cysteine is conserved among all three PPARs. In cell-based reporter assays, GW9662 was a potent and selective antagonist of full-length PPARgamma. The functional activity of GW9662 as an antagonist of PPARgamma was confirmed in an assay of adipocyte differentiation. GW9662 showed essentially no effect on transcription when tested using both full-length PPARdelta and PPARalpha. Time-resolved fluorescence assays of ligand-modulated receptor heterodimerization, coactivator binding, and corepressor binding were consistent with the effects observed in the reporter gene assays. Control activators increased PPAR:RXR heterodimer formation and coactivator binding to both PPARgamma and PPARdelta. Corepressor binding was decreased. In the case of PPARalpha, GW9662 treatment did not significantly increase heterodimerization and coactivator binding or decrease corepressor binding. The experimental data indicate that GW9662 modification of each of the three PPARs results in different functional consequences. The selective and irreversible nature of GW9662 treatment, and the observation that activity is maintained in cell culture experiments, suggests that this compound may be a useful tool for elucidation of the role of PPARgamma in biological processes.


Assuntos
Anilidas/farmacologia , Cisteína/química , Receptores Citoplasmáticos e Nucleares/antagonistas & inibidores , Fatores de Transcrição/antagonistas & inibidores , Adipócitos/efeitos dos fármacos , Adipócitos/fisiologia , Anilidas/metabolismo , Sítios de Ligação , Proteína de Ligação a CREB , Diferenciação Celular/efeitos dos fármacos , Diferenciação Celular/fisiologia , Cisteína/metabolismo , Dimerização , Relação Dose-Resposta a Droga , Escherichia coli/genética , Humanos , Ligantes , Proteínas Nucleares/metabolismo , Correpressor 1 de Receptor Nuclear , Receptores Citoplasmáticos e Nucleares/metabolismo , Receptores Citoplasmáticos e Nucleares/fisiologia , Receptores do Ácido Retinoico/metabolismo , Proteínas Repressoras/metabolismo , Receptores X de Retinoides , Transativadores/metabolismo , Fatores de Transcrição/metabolismo , Fatores de Transcrição/fisiologia
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