Patterns of kidney function decline vary among those with T1D. End-stage kidney disease (ESKD) develops after progressive kidney function decline that begins when kidney function is normal, ...regardless of albuminuria. We aimed to determine if these findings were observed in the DCCT/EDIC cohort, which enrolled 1,441 individuals and randomly assigned them to intensive insulin therapy (n=711) or conventional insulin therapy (n=730). Baseline mean eGFR and AER were 125 ml/min/1.73m2 and 12 mg/24 hours, respectively. During 27 years of follow-up 129 individuals reached reduced eGFR <60ml/min/1.73m2 or ESKD. For these individuals we applied latent class trajectory analysis minimizing sum of squares of linear spline models with varying knot placement to identify patterns of eGFR decline. We identified two patterns: i) slow decline without eGFR breakpoint (n=56) and ii) fast decline with clear breakpoint (n=73). Slow decliners reached reduced eGFR but rarely ESKD (2%), while many fast decliners progressed to ESKD (35%) within 5-15 years after the breakpoint. Fast decline was less frequent in intensive compared to conventional insulin therapy 26 (3.7%) vs 47 (6.4%), respectively, p=0.022 and had longer median time from enrollment to breakpoint (18 vs 13 years, respectively, p=0.0004). However, the slope of annual loss of eGFR after breakpoint did not differ. In conclusion, we identified a unique phenotype - the “breakpoint” to fast decline in eGFR - as the main predictor of ESKD in T1D. This breakpoint started while eGFR was normal, subsequent decline was linear, and the onset of the breakpoint was substantially delayed by intensive insulin therapy rather than the slope of decline itself. Research on biomarkers that predict the onset of the eGFR ‘breakpoint’ is needed.
Disclosure
K.Ihara: None. J.K.Skupien: None. E.Satake: None. B.A.Perkins: Advisory Panel; Dexcom, Inc., Insulet Corporation, Novo Nordisk, Sanofi, Vertex Pharmaceuticals Incorporated, Other Relationship; Abbott, Medtronic, Sanofi, Research Support; Novo Nordisk, Bank of Montreal (BMO). A.Krolewski: None.
Chronic inflammation is postulated to be involved in the development of end-stage renal disease in diabetes, but which specific circulating inflammatory proteins contribute to this risk remain ...unknown. To study this, we examined 194 circulating inflammatory proteins in subjects from three independent cohorts with type 1 and type 2 diabetes. In each cohort, we identified an extremely robust kidney risk inflammatory signature (KRIS), consisting of 17 proteins enriched in tumor necrosis factor-receptor superfamily members, that was associated with a 10-year risk of end-stage renal disease. All these proteins had a systemic, non-kidney source. Our prospective study findings provide strong evidence that KRIS proteins contribute to the inflammatory process underlying end-stage renal disease development in both types of diabetes. These proteins point to new therapeutic targets and new prognostic tests to identify subjects at risk of end-stage renal disease, as well as biomarkers to measure responses to treatment of diabetic kidney disease.
OBJECTIVE Progressive decrease in the glomerular filtration rate (GFR), or renal decline, in type 1 diabetes (T1D) is observed in patients with macroalbuminuria. However, it is unknown whether this ...decline begins during microalbuminuria (MA) or normoalbuminuria (NA). RESEARCH DESIGN AND METHODS The study group (second Joslin Kidney Study) comprises patients with T1D and NA (n = 286) or MA (n = 248) who were followed for 4-10 years (median 8 years). Serial measurements (median 6, range 3-16) of serum creatinine and cystatin C were used jointly to estimate GFR (eGFRcr-cys) and assess its trajectories during follow-up. RESULTS Renal decline (progressive eGFRcr-cys loss of at least 3.3% per year) occurred in 10% of the NA and 35% of the MA (P < 0.001). In both groups, the strongest determinants of renal decline were baseline serum concentrations of uric acid (P < 0.001) and tumor necrosis factor receptor 1 or 2 (TNFR-1 or -2, P < 0.001). Other significant risk factors included baseline HbA1c, age/diabetes duration, and systolic blood pressure. Relative impacts of these determinants were similar in NA and MA. Renal decline was not associated with sex or baseline serum concentration of TNF-α, IL-6, IL-8, IP-10, MCP-1, VCAM, ICAM, Fas, or FasL. CONCLUSIONS Renal decline in T1D begins during NA and it is determined by multiple factors, similar to MA. Thus, this early decline is the primary disease process leading to impaired renal function in T1D. Changes in albumin excretion rate, such as the onset of MA or its progression to macroalbuminuria, are either caused by or develop in parallel to the early renal decline.
Levels of proinflammatory cytokines associate with risk for developing type 2 diabetes but whether chronic inflammation contributes to the development of diabetic complications, such as ESRD, is ...unknown. In the 1990s, we recruited 410 patients with type 2 diabetes for studies of diabetic nephropathy and recorded their characteristics at enrollment. During 12 years of follow-up, 59 patients developed ESRD (17 per 1000 patient-years) and 84 patients died without ESRD (24 per 1000 patient-years). Plasma markers of systemic inflammation, endothelial dysfunction, and the TNF pathway were measured in the study entry samples. Of the examined markers, only TNF receptors 1 and 2 (TNFR1 and TNFR2) associated with risk for ESRD. These two markers were highly correlated, but ESRD associated more strongly with TNFR1. The cumulative incidence of ESRD for patients in the highest TNFR1 quartile was 54% after 12 years but only 3% for the other quartiles (P<0.001). In Cox proportional hazard analyses, TNFR1 predicted risk for ESRD even after adjustment for clinical covariates such as urinary albumin excretion. Plasma concentration of TNFR1 outperformed all tested clinical variables with regard to predicting ESRD. Concentrations of TNFRs moderately associated with death unrelated to ESRD. In conclusion, elevated concentrations of circulating TNFRs in patients with type 2 diabetes at baseline are very strong predictors of the subsequent progression to ESRD in subjects with and without proteinuria.
Elevated plasma concentrations of TNF receptors 1 and 2 (TNFR1 and TNFR2) predict development of ESRD in patients with type 2 diabetes without proteinuria, suggesting these markers may contribute to ...the pathogenesis of renal decline. We investigated whether circulating markers of the TNF pathway determine GFR loss among patients with type 1 diabetes. We followed two cohorts comprising 628 patients with type 1 diabetes, normal renal function, and no proteinuria. Over 12 years, 69 patients developed estimated GFR less than 60 mL/min per 1.73 m(2) (16 per 1000 person-years). Concentrations of TNFR1 and TNFR2 were strongly associated with risk for early renal decline. Renal decline was associated only modestly with total TNFα concentration and appeared unrelated to free TNFα. The cumulative incidence of estimated GFR less than 60 mL/min per 1.73 m(2) for patients in the highest TNFR2 quartile was 60% after 12 years compared with 5%-19% in the remaining quartiles. In Cox proportional hazards analysis, patients with TNFR2 values in the highest quartile were threefold more likely to experience renal decline than patients in the other quartiles (hazard ratio, 3.0; 95% confidence interval, 1.7-5.5). The risk associated with high TNFR1 values was slightly less than that associated with high TNFR2 values. TNFR levels were unrelated to baseline free TNFα level and remained stable over long periods within an individual. In conclusion, early GFR loss in patients with type 1 diabetes without proteinuria is strongly associated with circulating TNF receptor levels but not TNFα levels (free or total).
The patterns of estimated glomerular filtration rate (eGFR) decline to end-stage renal disease (ESRD) in patients with type 1 diabetes has not been conclusively described. Decline could be linearly ...progressive to ESRD but with a variable rate. Conversely, decline may be linear but interrupted by periods of plateaus or improvements.
This observational study included 364 patients with type 1 diabetes attending the Joslin Clinic who developed ESRD between 1991 and 2013. We retrieved serum creatinine measurements from clinic visits or research examinations up to 24 years (median 6.7 years) preceding the onset of ESRD. Using serial measurements of serum creatinine to estimate renal function (eGFR), we used regression-based spline methods and a data smoothing approach to characterize individual trajectories of eGFR over time for the 257 patients with five or more data points.
The rate of eGFR decline per year ranged widely, from -72 to -2 mL/min/1.73 m
(median -8.5). The trajectories, as characterized with linear regression-based spline models, were linear or nearly so for 87% of patients, accelerating for 6%, and decelerating for 7%. Smoothed trajectories evaluated by a Bayesian approach did not significantly depart from a linear fit in 76%.
The decline of eGFR in type 1 diabetes is predominantly linear. Deviations from linearity are small, with little effect on the expected time of ESRD. A single disease process most likely underlies renal decline from its initiation and continues with the same intensity to ESRD. Linearity of renal decline suggests using slope reduction as the measure of effectiveness of interventions to postpone ESRD.
Here we studied plasma metabolomic profiles as determinants of progression to end-stage renal disease (ESRD) in patients with type 2 diabetes (T2D). This nested case–control study evaluated 40 cases ...who progressed to ESRD during 8–12 years of follow-up and 40 controls who remained alive without ESRD from the Joslin Kidney Study cohort. Controls were matched with cases for baseline clinical characteristics, although controls had slightly higher eGFR and lower levels of urinary albumin excretion than cases. Plasma metabolites at baseline were measured by mass spectrometry–based global metabolomic profiling. Of the named metabolites in the library, 262 were detected in at least 80% of the study patients. The metabolomic platform recognized 78 metabolites previously reported to be elevated in ESRD (uremic solutes). Sixteen were already elevated in the baseline plasma of our cases years before ESRD developed. Other uremic solutes were either not different or not commonly detectable. Essential amino acids and their derivatives were significantly depleted in the cases, whereas certain amino acid–derived acylcarnitines were increased. All findings remained statistically significant after adjustment for differences between study groups in albumin excretion rate, eGFR, or HbA1c. Uremic solute differences were confirmed by quantitative measurements. Thus, abnormal plasma concentrations of putative uremic solutes and essential amino acids either contribute to progression to ESRD or are a manifestation of an early stage(s) of the disease process that leads to ESRD in T2D.
Aim. Optimal revascularization strategy in multivessel (MV) coronary artery disease (CAD) eligible for percutaneous management (PCI) and surgery remains unresolved. We evaluated, in a randomized ...clinical trial, residual myocardial ischemia (RI) and clinical outcomes of MV-CAD revascularization using coronary artery bypass grafting (CABG), hybrid coronary revascularization (HCR), or MV-PCI. Methods. Consecutive MV-CAD patients (n = 155) were randomized (1 : 1 : 1) to conventional CABG (LIMA-LAD plus venous grafts) or HCR (MIDCAB LIMA-LAD followed by PCI for remaining vessels) or MV-PCI (everolimus-eluting CoCr stents) under Heart Team agreement on equal technical and clinical feasibility of each strategy. SPECT at 12 months (primary endpoint of RI that the trial was powered for; a measure of revascularization midterm efficacy and an independent predictor of long-term prognosis) preceded routine angiographic control. Results. Data are given, respectively, for the CABG, HCR, and MV-PCI arms. Incomplete revascularization rate was 8.0% vs. 7.7% vs. 5.7% (p=0.71). Hospital stay was 13.8 vs. 13.5 vs. 4.5 days (p<0.001), and sick-leave duration was 23 vs. 16 vs. 8 weeks (p<0.001). At 12 months, RI was 5 (2, 9)% vs. 5 (3, 7)% vs. 6 (3, 10)% (median; Q1, Q3) with noninferiority p values of 0.0006 (HCR vs. CABG) and 0.016 (MV-PCI vs. CABG). Rates of angiographic graft stenosis/occlusion or in-segment restenosis were 20.4% vs. 8.2% vs. 5.9% (p=0.05). Clinical target vessel/graft failure occurred in 12.0% vs. 11.5% vs. 11.3% (p=0.62). Major adverse cardiac and cerebral event (MACCE) rate was similar (12% vs. 13.4% vs. 13.2%; p=0.83). Conclusion. In this first randomized controlled study comparing CABG, HCR, and MV-PCI, residual myocardial ischemia and MACCE were similar at 12 months. There was no midterm indication of any added value of HCR. Hospital stay and sick-leave duration were shortest with MV-PCI. While longer-term follow-up is warranted, these findings may impact patient and physician choices and healthcare resources utilization. This trial is registered with NCT01699048.
We conducted an untargeted proteomic profiling of circulating inflammatory proteins using SOMASCAN platform to find those that predicted 10-year ESRD risk in two cohort study. Subjects with Type 1 ...Diabetes (T1D) served as a discovery cohort and a T2D cohort was used in validation. We identified a kidney risk inflammatory signature (KRIS) that robustly predicted progression to ESRD. The signature comprised 17 proteins out of 194 examined. KRIS was enriched for members of TNFR Superfamily (p=0.007) including TNFR1, TNFR2, TNFRSF19, TNFRSF19L, TNFRSF21 and TNFRSF27. Other KRIS proteins included IL15RA, IL17F, DAF, CLM6, TNFSF15, CCL14, CCL15, CSF1, TIMD3, IL1R1 and IL18R1. Hazard ratio (95% CI) for the top KRIS protein, TNFR1 was 3.6 (2.8, 4.6), p < 10-25. KRIS was neither enriched in receptors for other cytokines nor in cytokine ligands. Pathway analyses pointed to candidate therapeutic targets and aligned them by ranks. Eight proteins are currently targeted with compounds used for other clinical indications. Kidney tissue expression analysis and urinary proteomics suggested a systemic source of KRIS proteins.
In summary, our study identifies and validates a powerful protein signature enriched in TNFRSF members associated with 10-year ESRD risk in diabetes. These findings should inform future drug development strategies.
Disclosure
M. Niewczas: None. J.K. Skupien: None. V. Nair: None. A. Smiles: None. J. Park: None. E. Satake: None. C.A. Simeone: None. J. Tsay: None. W. Ju: None. M. Kretzler: Research Support; Self; AstraZeneca, Novo Nordisk Inc., Boehringer Ingelheim GmbH, National Institute of Diabetes and Digestive and Kidney Diseases, Eli Lilly and Company, Gilead Sciences, Inc. K. Susztak: Research Support; Self; Regeneron Pharmaceuticals, Inc., Boehringer Ingelheim Pharmaceuticals, Inc., GlaxoSmithKline plc., Merck & Co., Inc., Eli Lilly and Company, Ono Pharmaceutical Co., Ltd.. A. Krolewski: None.
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