Literature DB >> 30311395

The relationships between markers of tubular injury and intrarenal haemodynamic function in adults with and without type 1 diabetes: Results from the Canadian Study of Longevity in Type 1 Diabetes.

Petter Bjornstad1,2, Sunita K Singh1, Janet K Snell-Bergeon2, Julie A Lovshin1,3, Yuliya Lytvyn1, Leif E Lovblom4, Marian J Rewers2, Genevieve Boulet4, Vesta Lai1, Josephine Tse1, Leslie Cham1, Andrej Orszag4, Alanna Weisman4, Hillary A Keenan5, Michael H Brent6, Narinder Paul7, Vera Bril8, Bruce A Perkins2,3, David Z I Cherney1,9.   

Abstract

OBJECTIVE: Our aim was to define the relationships between plasma biomarkers of kidney injury and intrarenal haemodynamic function (glomerular filtration rate [GFR], effective renal plasma flow [ERPF], renal vascular resistance [RVR]) in adults with type 1 diabetes (T1D).
METHODS: The study sample comprised patients with longstanding T1D (duration ≥50 years), among whom 44 were diabetic kidney disease (DKD) resistors (eGFR >60 mL/min/1.73 m2 and <30 mg/d urine albumin excretion) and 22 had DKD, in addition to 73 control participants. GFRINULIN and ERPFPAH were measured, RVR was calculated, and afferent (RA )/efferent (RE ) areteriolar resistances were derived from Gomez equations. Plasma neutrophil gelatinase-associated lipocalin (NGAL), β2 microglobulin (B2M), osteopontin (OPN) and uromodulin (UMOD) were measured using immunoassay kits from Meso Scale Discovery.
RESULTS: Plasma NGAL, B2M and OPN were higher and UMOD was lower in DKD patients vs DKD resistors and non-diabetic controls. In participants with T1D, plasma NGAL inversely correlated with GFR (r = -0.33; P = 0.006) and ERPF (r = -0.34; P = 0.006), and correlated positively with RA (r = 0.26; P = 0.03) and RVR (r = 0.31; P = 0.01). In participants without T1D, NGAL and B2M inversely correlated with GFR (NGAL r = -0.18; P = 0.13 and B2M r = -0.49; P < 0.0001) and with ERPF (NGAL r = -0.19; P = 0.1 and B2M r = -0.42; P = 0.0003), and correlated positively with RA (NGAL r = 0.19; P = 0.10 and B2M r = 0.3; P = 0.01) and with RVR (NGAL r = 0.20; P = 0.09 and B2M r = 0.34; P = 0.003). Differences were significant after adjusting for age, sex, HbA1c, SBP and LDL. There were statistical interactions between T1D status, B2M and intrarenal haemodynamic function (P < 0.05).
CONCLUSIONS: Elevated NGAL relates to intrarenal haemodynamic dysfunction in T1D, whereas elevated NGAL and B2M relate to intrarenal haemodynamic dysfunction in adults without T1D. These data may define a diabetes-specific interplay between tubular injury and intrarenal haemodynamic dysfunction.
© 2018 John Wiley & Sons Ltd.

Entities:  

Keywords:  biomarkers; diabetic kidney disease; type 1 diabetes

Mesh:

Substances:

Year:  2018        PMID: 30311395      PMCID: PMC6368468          DOI: 10.1111/dom.13556

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  4 in total

Review 1.  Discoveries from the study of longstanding type 1 diabetes.

Authors:  Bruce A Perkins; Leif Erik Lovblom; Sebastien O Lanctôt; Krista Lamb; David Z I Cherney
Journal:  Diabetologia       Date:  2021-03-04       Impact factor: 10.122

2.  Vasopressin associated with renal vascular resistance in adults with longstanding type 1 diabetes with and without diabetic kidney disease.

Authors:  Federica Piani; Trenton Reinicke; Yuliya Lytvyn; Isabella Melena; Leif E Lovblom; Vesta Lai; Josephine Tse; Leslie Cham; Andrej Orszag; Bruce A Perkins; David Z I Cherney; Petter Bjornstad
Journal:  J Diabetes Complications       Date:  2020-11-26       Impact factor: 2.852

3.  Identification of Key Candidate Genes and Chemical Perturbagens in Diabetic Kidney Disease Using Integrated Bioinformatics Analysis.

Authors:  Zhuo Gao; Aishwarya S; Xiao-Mei Li; Xin-Lun Li; Li-Na Sui
Journal:  Front Endocrinol (Lausanne)       Date:  2021-09-07       Impact factor: 5.555

Review 4.  Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease.

Authors:  Vuthi Khanijou; Neda Zafari; Melinda T Coughlan; Richard J MacIsaac; Elif I Ekinci
Journal:  Diabetes Metab Res Rev       Date:  2022-07-11       Impact factor: 8.128

  4 in total

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