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      Plasma bradykinin and early diabetic nephropathy lesions in type 1 diabetes mellitus

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          Abstract

          Objective

          To examine the association of bradykinin and related peptides with the development of diabetic nephropathy lesions in 243 participants with type 1 diabetes (T1D) from the Renin-Angiotensin System Study who, at baseline, were normoalbuminuric, normotensive and had normal or increased glomerular filtration rate (GFR).

          Design

          Plasma concentrations of bradykinin and related peptides were measured at baseline by quantitative mass spectrometry. All participants were randomly assigned at baseline to receive placebo, enalapril or losartan during the 5 years between kidney biopsies. Kidney morphometric data were available from kidney biopsies at baseline and after 5 years. Relationships of peptides with changes in morphometric variables were assessed using multiple linear regression after adjustment for age, sex, diabetes duration, HbA1c, mean arterial pressure, treatment assignment and, for longitudinal analyses, baseline structure.

          Results

          Baseline median albumin excretion rate of study participants was 5.0 μg/min, and mean GFR was 128 mL/min/1.73 m 2. After multivariable adjustment, higher plasma concentration of bradykinin (1–8) was associated with greater glomerular volume (partial r = 0.191, P = 0.019) and total filtration surface area (partial r = 0.211, P = 0.010), and higher bradykinin (1–7) and hyp3-bradykinin (1–7) were associated with lower cortical interstitial fractional volume (partial r = -0.189, P = 0.011; partial r = -0.164, P = 0.027 respectively). In longitudinal analyses, higher bradykinin was associated with preservation of surface density of the peripheral glomerular basement membrane (partial r = 0.162, P = 0.013), and for participants randomized to losartan, higher hyp3-bradykinin (1–8) was associated with more limited increase in cortical interstitial fractional volume (partial r = -0.291, P = 0.033).

          Conclusions

          Higher plasma bradykinin and related peptide concentrations measured before clinical onset of diabetic nephropathy in persons with T1D were associated with preservation of glomerular structures, suggesting that elevations of these kinin concentrations may reflect adaptive responses to early renal structural changes in diabetic nephropathy.

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          Most cited references40

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          Circulating TNF receptors 1 and 2 predict ESRD in type 2 diabetes.

          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.
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            Endothelium-derived relaxing and contracting factors.

            Endothelium-dependent relaxation of blood vessels is produced by a large number of agents (e.g., acetylcholine, ATP and ADP, substance P, bradykinin, histamine, thrombin, serotonin). With some agents, relaxation may be limited to certain species and/or blood vessels. Relaxation results from release of a very labile non-prostanoid endothelium-derived relaxing factor (EDRF) or factors. EDRF stimulates guanylate cyclase of the vascular smooth muscle, with the resulting increase in cyclic GMP activating relaxation. EDRF is rapidly inactivated by hemoglobin and superoxide. There is strong evidence that EDRF from many blood vessels and from cultured endothelial cells is nitric oxide (NO) and that its precursor is L-arginine. There is evidence for other relaxing factors, including an endothelium-derived hyperpolarizing factor in some vessels. Flow-induced shear stress also stimulates EDRF release. Endothelium-dependent relaxation occurs in resistance vessels as well as in larger arteries, and is generally more pronounced in arteries than veins. EDRF also inhibits platelet aggregation and adhesion to the blood vessel wall. Endothelium-derived contracting factors appear to be responsible for endothelium-dependent contractions produced by arachidonic acid and hypoxia in isolated systemic vessels and by certain agents and by rapid stretch in isolated cerebral vessels. In all such experiments, the endothelium-derived contracting factor appears to be some product or by-product of cyclooxygenase activity. Recently, endothelial cells in culture have been found to synthesize a peptide, endothelin, which is an extremely potent vasoconstrictor. The possible physiological roles and pathophysiological significance of endothelium-derived relaxing and contracting factors are briefly discussed.
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              Early Progressive Renal Decline Precedes the Onset of Microalbuminuria and Its Progression to Macroalbuminuria

              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.
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                Author and article information

                Contributors
                Role: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 July 2017
                2017
                : 12
                : 7
                : e0180964
                Affiliations
                [1 ] National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, Arizona, United States of America
                [2 ] University of Louisville, Louisville, Kentucky, United States of America
                [3 ] University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
                [4 ] Boston University School of Medicine, Boston, United States of America
                [5 ] National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, United States of America
                [6 ] Ohio State University, Columbus, Ohio, United States of America
                [7 ] University of Minnesota, Minneapolis, Minnesota, United States of America
                University of Glasgow, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                ¶ Membership of the CKD Biomarkers Consortium is provided in the Acknowledgments.

                Author information
                http://orcid.org/0000-0001-7307-3786
                Article
                PONE-D-17-15831
                10.1371/journal.pone.0180964
                5507314
                28700653
                832aa89d-2de3-4f65-a3d8-c42d873fc68a

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 24 April 2017
                : 23 June 2017
                Page count
                Figures: 3, Tables: 3, Pages: 17
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK85649
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK085673
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK085660
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK085688
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK085651
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: U01DK085689
                Funded by: funder-id http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: Intramural Research Program
                This work was supported by the Chronic Kidney Disease Biomarker Consortium funded by National Institute of Diabetes and Digestive and Kidney Diseases U01DK85649, U01DK085673, U01DK085660, U01DK085688, U01DK085651 and U01DK085689, and by the Intramural Research Program of the National Institute of Diabetes and Digestive and Kidney Diseases. The National Institute of Diabetes and Digestive and Kidney Diseases had no role in study design, data collection and analysis, or decision to publish. The project officer representing the National Institute of Diabetes and Digestive and Kidney Diseases had a role in the preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Metabolic Disorders
                Diabetes Mellitus
                Research and Analysis Methods
                Imaging Techniques
                Morphometry
                Biology and Life Sciences
                Anatomy
                Renal System
                Kidneys
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                Renal System
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                Diagnostic medicine
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                Renal Physiology
                Glomerular Filtration Rate
                Medicine and Health Sciences
                Physiology
                Renal Physiology
                Glomerular Filtration Rate
                Medicine and Health Sciences
                Surgical and Invasive Medical Procedures
                Biopsy
                Custom metadata
                All relevant data are within the paper and its Supporting Information files. Investigators wishing to have access to more related data need to contact Krista Whitehead ( kristaw@ 123456mail.med.upenn.edu ) from the CKD Biomarkers Consortium for data access.

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