SILVIA MARIA DE OLIVEIRA TITAN
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- ACEI and ARB combination therapy in patients with macroalbuminuric diabetic nephropathy and low socioeconomic level: a double-blind randomized clinical trial(2011) TITAN, S. M.; VIEIRA JR., J. M.; DOMINGUEZ, W. V.; BARROS, R. T.; ZATZ, R.Objective: The combination of an ACE inhibitor (ACEI) and an angiotensin II receptor blocker (ARB) has been proposed for the treatment of diabetic nephropathy (DN), but doubts remain about its efficacy and safety. We compared the effects of combination therapy and ACEI monotherapy on proteinuria and on three urinary inflammatory cytokines (MCP-1, TGF-beta and VEGF). Design and patients: 56 patients with macro-albuminuric DN received 40 mg/d enalapril for 4 months, followed by add-on 100 mg/d losartan or placebo for another 4 months. The primary and secondary endpoints were reduction of proteinuria and cytokine levels, respectively. Results: Proteinuria did not fall in either group. Repeated measures ANOVA revealed no difference between groups. A high side effect rate was observed (28.5%). Finally, unadjusted logistic regression showed no difference between groups, but after adjustments the risk of worsening proteinuria was higher in the combination therapy group (p = 0.04). The same pattern was observed for urinary MCP-1. Conclusion: These results suggest that 1) in advanced DN with severe proteinuria and poor metabolic control, angiotensin II blockade may be less effective than in other groups of CKD patients. 2) In such patients, combination therapy may not afford superior renoprotection compared to enalapril. 3) Urinary MCP-1 is a promising biomarker for the response to ACEI and/or ARB treatment and for the risk of associated unwanted effects.
- FGF-23 as a Predictor of Renal Outcome in Diabetic Nephropathy(2011) TITAN, Silvia M.; ZATZ, Roberto; GRACIOLLI, Fabiana G.; REIS, Luciene M. dos; BARROS, Rui T.; JORGETTI, Vanda; MOYSES, Rosa M. A.Background and objectives Fibroblast growth factor 23 (FGF-23) has emerged as a new factor in mineral metabolism in chronic kidney disease (CKD). An important regulator of phosphorus homeostasis, FGF-23 has been shown to independently predict CKD progression in nondiabetic renal disease. We analyzed the relation between FGF-23 and renal outcome in diabetic nephropathy (DN). Design, setting, participants, & measurements DN patients participating in a clinical trial (enalapril+placebo versus enalapril+losartan) had baseline data collected and were followed until June 2009 or until the primary outcome was reached. Four patients were lost to follow-up. The composite primary outcome was defined as death, doubling of serum creatinine, and/or dialysis need. Results At baseline, serum FGF-23 showed a significant association with serum creatinine, intact parathyroid hormone, proteirturia, urinary fractional excretion of phosphate, male sex, and race. Interestingly, FGF-23 was not related to calcium, phosphorus, 25OH-vitamin D, or 24-hour urinary phosphorus. Mean follow-up time was 30.7 +/- 10 months. Cox regression showed that FGF-23 was an independent predictor of the primary outcome, even after adjustment for creatinine clearance and intact parathyroid hormone (10 pg/ml FGF-23 increase = hazard ratio, 1.09; 95% CI, 1.01 to 1.16, P = 0.02). Finally, Kaplan-Meier analysis showed a significantly higher risk of the primary outcome in patients with FGF-23 values of >70 pg/ml. Conclusions FGF-23 is a significant independent predictor of renal outcome in patients with macroalbuminuric DN. Further studies should clarify whether this relation is causal and whether FGF-23 should be a new therapeutic target for CKD prevention. Clin J Am Soc Nephrol 6: 241-247, 2011. doi: 10.2215/CJN.04250510
- Metabolites related to eGFR: Evaluation of candidate molecules for GFR estimation using untargeted metabolomics(2019) TITAN, S. M.; VENTURINI, G.; PADILHA, K.; TAVARES, G.; ZATZ, R.; BENSENOR, I; LOTUFO, P. A.; RHEE, E. P.; I, R. Thadhani; PEREIRA, A. C.Background: Metabolomics can be used to identify novel metabolites related to renal function and that could therefore be used for estimating GFR. We evaluated metabolites replicated and related to eGFR in 3 studies (CKD) and general population). Methods: Metabolomics was performed by GC-MS. The Progredir Cohort (n = 454, class 3 and 4 CKD) was used as the derivation study and adjusted linear regression models on eGFR-CKDEPI were built. Bonferroni correction was applied for selecting metabolites to be independently validated in the Diabetic Nephropathy Study (n = 56 macroalbuminuric DN) and in the Baependi Heart Study (BHS, n = 1145, general population). Results: In the Progredir Cohort, 72 metabolites where associated with eGFR. Of those, 11 were also significantly associated to eGFR in the DN Study and 8 in the BHS. Four metabolites were replicated and significantly associated to eGFR in all 3 studies: D-threitol, myo-inositol, 4-deoxierythronic acid and galacturonic acid. In addition, pseudouridine was strongly correlated to eGFR only in the 2 CKD populations. Conclusions: Our results demonstrate metabolites that are potential biomarkers of renal function: D-threitol, myo-inositol, 4-deoxierythronic acid, galacturonic acid and pseudouridine. Further investigation is needed to determine their performance against otherwise gold-standard methods, most notably among those with normal eGFR.
- 1,5-Anhydroglucitol predicts CKD progression in macroalbuminuric diabetic kidney disease: results from non-targeted metabolomics(2018) TAVARES, Gesiane; VENTURINI, Gabriela; PADILHA, Kallyandra; ZATZ, Roberto; PEREIRA, Alexandre C.; THADHANI, Ravi I.; RHEE, Eugene P.; TITAN, Silvia M. O.Introduction Metabolomics allows exploration of novel biomarkers and provides insights on metabolic pathways associated with disease. To date, metabolomics studies on CKD have been largely limited to Caucasian populations and have mostly examined surrogate end points. Objective In this study, we evaluated the role of metabolites in predicting a primary outcome defined as dialysis need, doubling of serum creatinine or death in Brazilian macroalbuminuric DKD patients. Methods Non-targeted metabolomics was performed on plasma from 56 DKD patients. Technical triplicates were done. Metabolites were identified using Agilent Fiehn GC/MS Metabolomics and NIST libraries (Agilent MassHunter Work-station Quantitative Analysis, version B. 06.00). After data cleaning, 186 metabolites were left for analyses. Results During a median follow-up time of 2.5 years, the PO occurred in 17 patients (30.3%). In non-parametric testing, 13 metabolites were associated with the PO. In univariate Cox regression, only 1,5-anhydroglucitol (HR 0.10; 95% CI 0.01-0.63, p =.01), norvaline and l-aspartic acid were associated with the PO. After adjustment for baseline renal function, 1,5-anhydroglucitol (HR 0.10; 95% CI 0.02-0.63, p =.01), norvaline (HR 0.01; 95% CI 0.001-0.4, p =.01) and aspartic acid (HR 0.12; 95% CI 0.02-0.64, p =.01) remained significantly and inversely associated with the PO. Conclusion Our results show that lower levels of 1,5-anhydroglucitol, norvaline and l-aspartic acid are associated with progression of macroalbuminuric DKD. While norvaline and l-aspartic acid point to interesting metabolic pathways, 1,5-anhydroglucitol is of particular interest since it has been previously shown to be associated with incident CKD. This inverse biomarker of hyperglycemia should be further explored as a new tool in DKD.
- Urinary MCP-1 and RBP: Independent predictors of renal outcome in macroalbuminuric diabetic nephropathy(2012) TITAN, S. M.; VIEIRA JR., J. M.; DOMINGUEZ, W. V.; MOREIRA, S. R. S.; PEREIRA, A. B.; BARROS, R. T.; ZATZ, R.Background: Albuminuria has been considered a sine qua non condition for the diagnosis of diabetic nephropathy (DN) and has been widely used as a surrogate outcome of chronic kidney disease (CKD). However, recent data suggest that albuminuria may fail as a biomarker in a subset of patients, and the search for novel markers is intense. Methods: We analyzed the role of urinary RBP and of serum and urinary cytokines (TGF-beta, MCP-1 and VEGF) as predictors of the risk of dialysis. doubling of serum creatinine or death (primary outcome. PO) in 56 type 2 diabetic patients with macroalbuminuric DN. Results: Mean follow-up time was 30.7 +/- 10 months. Urinary RBP and MCP-1 were significantly higher in patients presenting the PO, whereas no difference was shown for TGF-beta or VEGF. In the Cox regression, urinary RBP. MCP-1 and VEGF were positively associated and serum VEGF was inversely related to the risk of the PO. However, after adjustments for creatinine clearance, proteinuria, and blood pressure only urinary RBP (OR 11.6; 95% CI 2.7-49.2, p = 0.001 for log RBP) and urinary MCP-1 (OR 11.0; 95% CI 1.6-76.4, p = 0.02 for log MCP-1) remained as significant independent predictors of the PO. Conclusion: Urinary RBP and MCP-1 are independently related to the risk of CKD progression in patients with macroalbuminuric DN. Whether these biomarkers have a role in the setting of normoalbuminuria and microalbuminuria in DN should be further investigated.