Literature DB >> 24052458

The association of a single-nucleotide polymorphism in CUBN and the risk of albuminuria and cardiovascular disease.

Gearoid M McMahon1, Conall M O'Seaghdha, Shih-Jen Hwang, James B Meigs, Caroline S Fox.   

Abstract

BACKGROUND: Albuminuria is an important risk factor for cardiovascular disease (CVD). We have previously identified a missense single-nucleotide polymorphism (rs1801239) in the CUBN gene that is associated with albuminuria. Whether albuminuria is associated with CVD in the presence of the CUBN mutation is unknown.
METHODS: We analyzed participants from the Framingham Heart Study (n=6399, mean age 47 years, 53.4% women) who underwent genotyping of rs1801239. Cox proportional hazards models were used to test the association between microalbuminuria [UACR≥17 mg/g (men) and ≥25 mg/g (women)] and incident CVD stratified by the presence or absence of the CUBN risk allele. We tested whether the association between microalbuminuria and CVD was altered by the presence of the risk allele with interaction testing.
RESULTS: Overall, 21.1% of participants carried the risk allele. As expected, carriers of the risk (C) allele had a higher prevalence of microalbuminuria (10.7 versus 8.9%, P=0.04). During a mean follow-up of 10.4 years, 5.6% (n=346) of participants experienced a CVD event. Microalbuminuria was associated with an increased risk of CVD [hazards ratio (HR) 1.46, 95% confidence interval (CI) 1.14-1.88]. When stratified by risk allele carrier status, the HR for CVD was 1.95 (95% CI 1.15-3.29) among those with compared to 1.33 (95% CI 1.00-1.76) among those without the risk allele. There was no interaction between microalbuminuria and rs1801239 on CVD (Pinteraction=0.49).
CONCLUSIONS: MA is associated with CVD irrespective of the presence of the CUBN risk allele. These results challenge the concept that albuminuria in the setting of this mutation is benign.

Entities:  

Keywords:  epidemiology

Mesh:

Substances:

Year:  2013        PMID: 24052458      PMCID: PMC3968306          DOI: 10.1093/ndt/gft386

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  38 in total

1.  A patient with cubilin deficiency.

Authors:  Tina Storm; Francesco Emma; Pierre J Verroust; Jens Michael Hertz; Rikke Nielsen; Erik I Christensen
Journal:  N Engl J Med       Date:  2011-01-06       Impact factor: 91.245

2.  Combining GFR and albuminuria to classify CKD improves prediction of ESRD.

Authors:  Stein I Hallan; Eberhard Ritz; Stian Lydersen; Solfrid Romundstad; Kurt Kvenild; Stephan R Orth
Journal:  J Am Soc Nephrol       Date:  2009-04-08       Impact factor: 10.121

3.  Predictors of incident albuminuria in the Framingham Offspring cohort.

Authors:  Conall M O'Seaghdha; Shih-Jen Hwang; Ashish Upadhyay; James B Meigs; Caroline S Fox
Journal:  Am J Kidney Dis       Date:  2010-11       Impact factor: 8.860

4.  Cubilin is an albumin binding protein important for renal tubular albumin reabsorption.

Authors:  H Birn; J C Fyfe; C Jacobsen; F Mounier; P J Verroust; H Orskov; T E Willnow; S K Moestrup; E I Christensen
Journal:  J Clin Invest       Date:  2000-05       Impact factor: 14.808

5.  Cubilin is essential for albumin reabsorption in the renal proximal tubule.

Authors:  Sabine Amsellem; Jakub Gburek; Ghislaine Hamard; Rikke Nielsen; Thomas E Willnow; Olivier Devuyst; Ebba Nexo; Pierre J Verroust; Erik I Christensen; Renata Kozyraki
Journal:  J Am Soc Nephrol       Date:  2010-08-26       Impact factor: 10.121

6.  Albuminuria, estimated GFR, traditional risk factors, and incident cardiovascular disease: the PREVEND (Prevention of Renal and Vascular Endstage Disease) study.

Authors:  Paul A Smink; Hiddo J Lambers Heerspink; Ron T Gansevoort; Paul E de Jong; Hans L Hillege; Stephan J L Bakker; Dick de Zeeuw
Journal:  Am J Kidney Dis       Date:  2012-07-25       Impact factor: 8.860

7.  Kidney injury molecule-1 (KIM-1): a urinary biomarker and much more.

Authors:  Joseph V Bonventre
Journal:  Nephrol Dial Transplant       Date:  2009-03-23       Impact factor: 5.992

8.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

9.  Age and association of kidney measures with mortality and end-stage renal disease.

Authors:  Stein I Hallan; Kunihiro Matsushita; Yingying Sang; Bakhtawar K Mahmoodi; Corri Black; Areef Ishani; Nanne Kleefstra; David Naimark; Paul Roderick; Marcello Tonelli; Jack F M Wetzels; Brad C Astor; Ron T Gansevoort; Adeera Levin; Chi-Pang Wen; Josef Coresh
Journal:  JAMA       Date:  2012-12-12       Impact factor: 56.272

10.  Urinary cystatin C and tubular proteinuria predict progression of diabetic nephropathy.

Authors:  Sang Soo Kim; Sang Heon Song; In Joo Kim; Yun Kyung Jeon; Bo Hyun Kim; Ihm Soo Kwak; Eun Kyung Lee; Yong Ki Kim
Journal:  Diabetes Care       Date:  2012-10-23       Impact factor: 19.112

View more
  4 in total

Review 1.  Insights into kidney diseases from genome-wide association studies.

Authors:  Matthias Wuttke; Anna Köttgen
Journal:  Nat Rev Nephrol       Date:  2016-08-01       Impact factor: 28.314

2.  Genetic Modifiers of White Blood Cell Count, Albuminuria and Glomerular Filtration Rate in Children with Sickle Cell Anemia.

Authors:  Beverly A Schaefer; Jonathan M Flanagan; Ofelia A Alvarez; Stephen C Nelson; Banu Aygun; Kerri A Nottage; Alex George; Carla W Roberts; Connie M Piccone; Thad A Howard; Barry R Davis; Russell E Ware
Journal:  PLoS One       Date:  2016-10-06       Impact factor: 3.240

3.  Genetic-Based Hypertension Subtype Identification Using Informative SNPs.

Authors:  Yuanjing Ma; Hongmei Jiang; Sanjiv J Shah; Donna Arnett; Marguerite R Irvin; Yuan Luo
Journal:  Genes (Basel)       Date:  2020-10-27       Impact factor: 4.096

4.  Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose.

Authors:  Peitao Wu; Denis Rybin; Lawrence F Bielak; Mary F Feitosa; Nora Franceschini; Yize Li; Yingchang Lu; Jonathan Marten; Solomon K Musani; Raymond Noordam; Sridharan Raghavan; Lynda M Rose; Karen Schwander; Albert V Smith; Salman M Tajuddin; Dina Vojinovic; Najaf Amin; Donna K Arnett; Erwin P Bottinger; Ayse Demirkan; Jose C Florez; Mohsen Ghanbari; Tamara B Harris; Lenore J Launer; Jingmin Liu; Jun Liu; Dennis O Mook-Kanamori; Alison D Murray; Mike A Nalls; Patricia A Peyser; André G Uitterlinden; Trudy Voortman; Claude Bouchard; Daniel Chasman; Adolfo Correa; Renée de Mutsert; Michele K Evans; Vilmundur Gudnason; Caroline Hayward; Linda Kao; Sharon L R Kardia; Charles Kooperberg; Ruth J F Loos; Michael M Province; Tuomo Rankinen; Susan Redline; Paul M Ridker; Jerome I Rotter; David Siscovick; Blair H Smith; Cornelia van Duijn; Alan B Zonderman; D C Rao; James G Wilson; Josée Dupuis; James B Meigs; Ching-Ti Liu; Jason L Vassy
Journal:  PLoS One       Date:  2020-05-07       Impact factor: 3.752

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.