The Association Between Metabolic Syndrome, Hyperfiltration, and Long-Term GFR Decline in the General Population.

Introduction: One-quarter of adults worldwide meet the criteria of metabolic syndrome (MetS). MetS increases the risk of diabetes, chronic kidney disease (CKD), and cardiovascular disease. However, the association between MetS, hyperfiltration, and long-term glomerular filtration rate (GFR) decline in the general population is unknown. Methods: In the Renal Iohexol Clearance Survey (RENIS), we investigated 1551 people aged 50 to 63 years; representative of the general population without diabetes, cardiovascular disease, or kidney disease. The GFR was measured using iohexol clearance at baseline and twice during 11 years of follow-up. Hyperfiltration at baseline was defined as an absolute GFR (ml/min) above the 90th percentile adjusted for sex, age, and height, because these variables correlate with nephron number. MetS was defined as increased waist circumference and 2 risk factors among hypertension, hyperglycemia, elevated triglycerides, and low high density lipoprotein (HDL)-cholesterol levels. The GFR decline rate was calculated using linear mixed models. Results: MetS was associated with hyperfiltration at baseline (odds ratio [OR] 2.4; 95% CI: 1.7-3.5, P < 0.001) and a steeper GFR decline rate during follow-up (-0.30 [-0.43 to -0.16] ml/min per 1.73 m2/yr). Compared to those without MetS, GFR decline was -0.83 (95% CI: -1.13 to -0.53) ml/min per 1.73 m2/yr in those with MetS and baseline hyperfiltration and -0.15 (-0.30 to 0.00) in those MetS without hyperfiltration, P = 0.2 for interaction. Conclusions: In the nondiabetic general population, those with MetS had an increased OR of hyperfiltration and steeper long-term GFR decline. Randomized controlled trials are needed to explore whether treatment of hyperfiltration can prevent loss of GFR in persons with MetS.

Ambulatory blood pressure as risk factor for long-term kidney function decline in the general population: a distributional regression approach.

The results of randomized controlled trials are unclear about the long-term effect of blood pressure (BP) on kidney function assessed as the glomerular filtration rate (GFR) in persons without chronic kidney disease or diabetes. The limited duration of follow-up and use of imprecise methods for assessing BP and GFR are important reasons why this issue has not been settled. Since a long-term randomized trial is unlikely, we investigated the association between 24-h ambulatory BP (ABP) and measured GFR in a cohort study with a median follow-up of 11 years. The Renal Iohexol Clearance Survey (RENIS) cohort is a representative sample of persons aged 50 to 62 years without baseline cardiovascular disease, diabetes, or kidney disease from the general population of Tromsø in northern Norway. ABP was measured at baseline, and iohexol clearance at baseline and twice during follow-up. The study population comprised 1589 persons with 4127 GFR measurements. Baseline ABP or office BP components were not associated with the GFR change rate in multivariable adjusted conventional regression models. In generalized additive models for location, scale, and shape (GAMLSS), higher daytime systolic, diastolic, and mean arterial ABP were associated with a slight shift of the central part of the GFR distribution toward lower GFR and with higher probability of GFR < 60 mL/min/1.73 m2 during follow-up (p < 0.05). The use of a distributional regression method and precise methods for measuring exposure and outcome were necessary to detect an unfavorable association between BP and GFR in this study of the general population.

Molecular programs associated with glomerular hyperfiltration in early diabetic kidney disease.

Hyperfiltration is a state of high glomerular filtration rate (GFR) observed in early diabetes that damages glomeruli, resulting in an iterative process of increasing filtration load on fewer and fewer remaining functional glomeruli. To delineate underlying cellular mechanisms of damage associated with hyperfiltration, transcriptional profiles of kidney biopsies from Pima Indians with type 2 diabetes with or without early-stage diabetic kidney disease were grouped into two hyperfiltration categories based on annual iothalamate GFR measurements. Twenty-six participants with a peak GFR measurement within two years of biopsy were categorized as the hyperfiltration group, and 26 in whom biopsy preceded peak GFR by over two years were considered pre-hyperfiltration. The hyperfiltration group had higher hemoglobin A1c, higher urine albumin-to-creatinine ratio, increased glomerular basement membrane width and lower podocyte density compared to the pre-hyperfiltration group. A glomerular 1240-gene transcriptional signature identified in the hyperfiltration group was enriched for endothelial stress response signaling genes, including endothelin-1, tec-kinase and transforming growth factor-ß1 pathways, with the majority of the transcripts mapped to endothelial and inflammatory cell clusters in kidney single cell transcriptional data. Thus, our analysis reveals molecular pathomechanisms associated with hyperfiltration in early diabetic kidney disease involving putative ligand-receptor pairs with downstream intracellular targets linked to cellular crosstalk between endothelial and mesangial cells.

Serum matrix metalloproteinase 7 and accelerated glomerular filtration rate decline in a general non-diabetic population.

BACKGROUND: Age-related reduction of glomerular filtration rate (GFR) is a major contributor to the global chronic kidney disease (CKD) epidemic. We investigated whether baseline serum levels of the pro-fibrotic matrix metalloproteinase 2 (MMP2), MMP7 and their inhibitor, tissue inhibitor of metalloproteinase 1 (TIMP1), which mediates fibrosis development in aging animals, were associated with GFR decline in a general non-diabetic population. METHODS: In the Renal Iohexol Clearance Survey, we measured GFR using iohexol clearance in 1627 subjects aged 50-64 years without self-reported diabetes, kidney or cardiovascular disease. After a median of 5.6 years, 1324 had follow-up GFR measurements. Using linear mixed models and logistic regression analyses, we evaluated the association of MMP7, MMP2 and TIMP1 with the mean GFR decline rate, risk of accelerated GFR decline (defined as subjects with the 10% steepest GFR slopes: ≥1.8 mL/min/1.73 m2/year) and incident CKD [GFR <60 mL/min/1.73 m2 and/or urinary albumin to creatinine ratio (ACR) ≥3.0 mg/mmol]. RESULTS: Higher MMP7 levels (per standard deviation increase of MMP7) were associated with steeper GFR decline rates [-0.23 mL/min/1.73 m2/year (95% confidence interval -0.34 to -0.12)] and increased risk of accelerated GFR decline and incident CKD [odds ratios 1.58 (1.30-1.93) and 1.45 (1.05-2.01), respectively, in a model adjusted for age, sex, baseline GFR, ACR and cardiovascular risk factors]. MMP2 and TIMP1 showed no association with GFR decline or incident CKD. CONCLUSIONS: The pro-fibrotic biomarker MMP7, but not MMP2 or TIMP1, is associated with increased risk of accelerated GFR decline and incident CKD in middle-aged persons from the general population.

Correlation Between Baseline GFR and Subsequent Change in GFR in Norwegian Adults Without Diabetes and in Pima Indians.

RATIONALE & OBJECTIVE: An elevated glomerular filtration rate (GFR), or renal hyperfiltration, may predispose individuals to subsequent rapid GFR decline in diabetes, obesity, and metabolic syndrome. Although this hypothesis is supported by results of experimental studies, the importance of hyperfiltration at the population level remains controversial. We investigated whether higher baseline GFR predicts a steeper decline in GFR. STUDY DESIGN: Longitudinal cohort studies. SETTING & PARTICIPANTS: 1,594 middle-aged Norwegians without diabetes (the Renal Iohexol Clearance Survey [RENIS]) and 319 Pima Indians (83% with type 2 diabetes). PREDICTOR: Baseline measured GFR using exogenous clearance methods. OUTCOMES: Change in measured GFR over time. ANALYTICAL APPROACH: Linear mixed regression models fit to assess the correlation between the random intercept (reflecting baseline GFR) and random slope (change in GFR over time). RESULTS: Mean baseline GFRs were 104.0 ± 20.1 (SD) and 149.4 ± 43.3 mL/min, and median follow-up durations were 5.6 (IQR, 5.2-6.0) and 9.1 (IQR, 4.0-15.0) years in the RENIS and Pima cohorts, respectively. Correlation between baseline GFR (random intercept) and slope of GFR decline was -0.31 (95% CI, -0.40 to -0.23) in the RENIS cohort and -0.41 (95% CI, -0.55 to -0.26) in the Pima cohort, adjusted for age, sex, height, and weight, suggesting that higher baseline GFRs were associated with steeper GFR decline rates. LIMITATIONS: Different methods for measuring GFR in the 2 cohorts. Renal hyperfiltration may not reflect higher single-nephron GFR. GFR decline is assumed to be linear, which may not match the actual pattern; observed correlations may arise from natural variation. CONCLUSIONS: Higher baseline GFR is associated with faster decline in GFR over time. If this relationship were causal, elevated GFR would represent a potentially modifiable risk factor for medium- to long-term GFR decline.

Office and Ambulatory Heart Rate as Predictors of Age-Related Kidney Function Decline.

The decline in glomerular filtration rate (GFR) associated with aging is one of the most important predisposing causes of kidney failure in old age. Identifying persons at risk for accelerated GFR decline is an essential first step in the development of preventive measures to preserve kidney function in the elderly. Heart rate (HR) has not yet been studied as a risk factor for GFR decline in the general population. In the RENIS-T6 (Renal Iohexol-Clearance Survey in Tromsø 6), we measured baseline ambulatory HR and GFR as iohexol clearance in a representative, middle-aged cohort of 1627 persons without self-reported diabetes mellitus, cardiovascular disease, or kidney disease. In the RENIS-FU (RENIS Follow-Up Study), we repeated the GFR measurements and calculated the rate of GFR decline in 81% of the participants after a median follow-up of 5.6 years. The unadjusted mean rate of GFR decline was 0.96 mL/min per year. In multivariable-adjusted linear mixed models, 10 bpm higher ambulatory 24-hour and daytime HRs and office HR were associated with steeper GFR decline rates of 0.20 to 0.21 mL/min per year ( P≤0.01). The odds ratio for predicting a rate of GFR decline twice that of the population mean in a fully adjusted model was 1.24 ( P=0.01) for ambulatory 24-hour HR. Office HR was also an independent predictor of a steeper rate of GFR decline. HR may be a useful biomarker to identify persons at risk of accelerated GFR decline.

Metabolic syndrome but not obesity measures are risk factors for accelerated age-related glomerular filtration rate decline in the general population.

Rapid age-related glomerular filtration rate (GFR) decline increases the risk of end-stage renal disease, and a low GFR increases the risk of mortality and cardiovascular disease. High body mass index and the metabolic syndrome are well-known risk factors for patients with advanced chronic kidney disease, but their role in accelerating age-related GFR decline independent of cardiovascular disease, hypertension and diabetes is not adequately understood. We studied body mass index, waist circumference, waist-hip ratio and metabolic syndrome as risk factors for accelerated GFR decline in 1261 middle-aged people representative of the general population without diabetes, cardiovascular disease or kidney disease. GFR was measured as iohexol clearance at baseline and repeated after a median of 5.6 years. Metabolic syndrome was defined as fulfilling three out of five criteria, based on waist circumference, blood pressure, glucose, high-density lipoprotein cholesterol and triglycerides. The mean GFR decline rate was 0.95 ml/min/year. Neither the body mass index, waist circumference nor waist-hip ratio predicted statistically significant changes in age-related GFR decline, but individuals with baseline metabolic syndrome had a significant mean of 0.30 ml/min/year faster decline than individuals without metabolic syndrome in a multivariable adjusted linear regression model. This association was mainly driven by the triglyceride criterion of metabolic syndrome, which was associated with a significant 0.36 ml/min/year faster decline when analyzed separately. Results differed significantly when GFR was estimated using creatinine and/or cystatin C. Thus, metabolic syndrome, but not the body mass index, waist circumference or waist-hip ratio, is an independent risk factor for accelerated age-related GFR decline in the general population.

Blood pressure and age-related GFR decline in the general population.

BACKGROUND: Hypertension is one of the most important causes of end-stage renal disease, but it is unclear whether elevated blood pressure (BP) also accelerates the gradual decline in the glomerular filtration rate (GFR) seen in the general population with increasing age. The reason may be that most studies have considered only baseline BP and not the effects of changes in BP, antihypertensive treatment and other determinants of GFR during follow-up. Additionally, the use of GFR estimated from creatinine or cystatin C instead of measurements of GFR may have biased the results because of influence from non-GFR related confounders. We studied the relationship between BP and GFR decline using time-varying variables in a cohort representative of the general population using measurements of GFR as iohexol clearance. METHODS: We included 1594 subjects aged 50 to 62 years without baseline diabetes, kidney-, or cardiovascular disease in the Renal Iohexol-clearance Survey in Tromsø 6 (RENIS-T6). GFR, BP, antihypertensive medication and all adjustment variables were ascertained at baseline, and at follow-up after a median observation time of 5.6 years in 1299 persons (81%). The relationship between GFR decline and BP was analyzed in linear mixed models. RESULTS: The mean (standard deviation) GFR decline rate was 0.95 (2.23) mL/min/year. The percentage of persons with hypertension (systolic BP ≥ 140 mmHg, diastolic BP ≥ 90 mmHg or antihypertensive medication) increased from 42 to 52% between baseline and follow-up. In multivariable adjusted linear mixed models using time-varying independent variables measured at baseline and follow-up, higher systolic and diastolic BP were associated with slower GFR decline rates by 0.10 and 0.20 mL/min/year/10 mmHg, respectively (p < 0.05). The association was stronger in persons on antihypertensive medication than in others (p < 0.05 for the interaction between BP and antihypertensive medication). CONCLUSIONS: In the medium-term, elevated BP is not associated with accelerated GFR decline in the general middle-aged population. In persons using antihypertensive medication, elevated BP is associated with a paradoxical slower GFR decline. Studies with even longer observation periods are needed to evaluate the ultimate effect of BP on kidney function.

Elevated blood pressure is not associated with accelerated glomerular filtration rate decline in the general non-diabetic middle-aged population.

Although hypertension is a risk factor for end-stage renal disease, this complication develops in only a minority of hypertensive patients. Whether non-malignant hypertension itself is sufficient to cause reduced glomerular filtration rate (GFR) is unclear. Therefore, we investigated whether elevated blood pressure (BP) was associated with accelerated GFR decline in the general population. The study was based on the Renal Iohexol Clearance Survey in Tromsø 6 (RENIS-T6), which included a representative sample of 1594 individuals aged 50 to 62 years from the general population without baseline diabetes or kidney or cardiovascular disease. GFR was measured as iohexol clearance at baseline and follow-up after a median observation time of 5.6 years. BP was measured according to a standardized procedure. The mean (SD) GFR decline rate was 0.95 (2.23) ml/min/yr. In multivariable adjusted linear mixed regressions with either baseline systolic or diastolic BP as the independent variable, there were no statistically significant associations with GFR decline. Thus, elevated BP is not associated with accelerated mean GFR decline in the general middle-aged population. Hence, additional genetic and environmental factors are probably necessary for elevated BP to develop manifest chronic kidney disease in some individuals.

Residual Associations of Inflammatory Markers with eGFR after Accounting for Measured GFR in a Community-Based Cohort without CKD.

BACKGROUND AND OBJECTIVES: eGFR on the basis of creatinine (eGFRcre) associates differently with cardiovascular disease and mortality than eGFR on the basis of cystatin C (eGFRcys). This may be related to risk factors affecting the level of creatinine and cystatin C along non-GFR pathways, which may confound the association between eGFR and outcome. Nontraditional risk factors are usually not measured in epidemiologic studies of eGFR and cannot be adjusted for to reduce confounding. We examined whether the inflammatory markers soluble TNF receptor type 2 (sTNFR2), C-reactive protein (CRP), and fibrinogen associated differently with eGFR than with measured GFR (mGFR). DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: GFR was measured by iohexol clearance in 1627 middle-aged participants without kidney disease, diabetes, or cardiovascular disease enrolled in the Renal Iohexol Clearance Survey Study from the Sixth Tromsø Study between 2007 and 2009. Generalized estimating equations were used to assess the residual associations between eGFR (eGFRcre, eGFRcys, and eGFR on the basis of creatinine and cystatin C) and the inflammatory markers relative to mGFR. RESULTS: sTNFR2, CRP, and fibrinogen were associated with a higher eGFRcre after accounting for mGFR in multivariable-adjusted models (2.63 ml/min per 1.73 m(2); 95% confidence interval [95% CI], 2.1 to 3.2 per SD increase in sTNFR2, 0.93 ml/min per 1.73 m(2); 95% CI, 0.3 to 1.5 per SD increase in log CRP, and 1.19 ml/min per 1.73 m(2); 95% CI, 0.6 to 1.8 per SD increase in fibrinogen). sTNFR2 and CRP were inversely associated with eGFRcys (-1.4 ml/min per 1.73 m(2); 95% CI, -2.1 to -0.6 per SD increase in sTNFR2, and -0.76 ml/min per 1.73 m(2); 95% CI, -1.4 to -0.1 per SD increase in log CRP). CONCLUSIONS: eGFRcre and eGFRcys are associated with inflammatory factors after accounting for mGFR but in opposite directions. These non-GFR-related associations may bias risk estimates by eGFR and, in part, explain the different risks predicted by eGFRcre and eGFRcys in longitudinal studies.