Cerebral microbleeds in predialysis patients with chronic kidney disease
1554
morphisms 2093C and 2180T in the 3′ untranslated region of the
Megsin gene. J Am Soc Nephrol 2004; 15: 1739–1743
15. Sasieni PD. From genotypes to genes: doubling the sample size.
Biometrics 1997; 53: 1253–1261
16. Spielman RS, McGinnis RE, Ewens WJ. Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent
diabetes mellitus (IDDM). Am J Hum Genet 1993; 52: 506–516
17. Horvath S, Xu X, Lake SL et al. Family-based tests for associating
haplotypes with general phenotype data: application to asthma genetics. Genet Epidemiol 2004; 26: 61–69
18. Pritchard JK, Stephens M, Donnelly P. Inference of population
structure using multilocus genotype data. Genetics 2000; 155:
945–959
19. Barrett JC, Fry B, Maller J et al. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 2005; 21:
263–265
20. Pritchard JK, Stephens M, Rosenberg NA et al. Association
mapping in structured populations. Am J Hum Genet 2000;
67: 170–181
21. Skol AD, Scott LJ, Abecasis GR et al. Joint analysis is more efficient
than replication-based analysis for two-stage genome-wide association studies. Nat Genet 2006; 38: 209–213
22. Purcell S, Cherny SS, Sham PC. Genetic Power Calculator: design of
linkage and association genetic mapping studies of complex traits.
Bioinformatics 2003; 19: 149–150
23. Fukita Y, Mizuta TR, Shirozu M et al. The human S mu bp-2, a
DNA-binding protein specific to the single-stranded guanine-rich sequence related to the immunoglobulin mu chain switch region. J Biol
Chem 1993; 268: 17463–17470
24. Grohmann K, Schuelke M, Diers A et al. Mutations in the gene
encoding immunoglobulin mu-binding protein 2 cause spinal muscular atrophy with respiratory distress type 1. Nat Genet 2001; 29:
75–77
25. Cox GA, Mahaffey CL, Frankel WN. Identification of the mouse
neuromuscular degeneration gene and mapping of a second site suppressor allele. Neuron 1998; 21: 1327–1337
Received for publication: 9.4.09; Accepted in revised form: 13.11.09
Nephrol Dial Transplant (2010) 25: 1554–1559
doi: 10.1093/ndt/gfp694
Advance Access publication 27 December 2009
Cerebral microbleeds in predialysis patients with chronic
kidney disease
Hideaki Shima1, Eiji Ishimura2, Toshihide Naganuma3, Takeshi Yamazaki3, Ikue Kobayashi1,
Kaori Shidara1, Katsuhito Mori1, Yoshiaki Takemoto3, Tetsuo Shoji1, Masaaki Inaba1, Mikio Okamura4,
Tatsuya Nakatani3 and Yoshiki Nishizawa1
1
Department of Endocrinology, Metabolism and Molecular Medicine, Osaka City University Graduate School of Medicine, Osaka,
Japan, 2Department of Nephrology, Osaka City University Graduate School of Medicine, Osaka, Japan, 3Department of Urology,
Osaka City University Graduate School of Medicine, Osaka, Japan and 4Ohno Memorial Hospital, Osaka, Japan
Correspondence and offprint requests to: Eiji Ishimura; E-mail:
Abstract
Background. Gradient-echo T2*-weighted magnetic resonance imaging (T2*-weighted MRI) is highly sensitive for
detecting cerebral microbleeds (CMBs). CMBs have been
reported to be a risk factor for future cerebrovascular events
and a marker of cerebral small vessel disease in the general
© The Author 2009. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.
For Permissions, please e-mail:
2. Rekola S, Bergstrand A, Bucht H. Deterioration of GFR in IgA nephropathy as measured by 51Cr-EDTA clearance. Kidney Int 1991;
40: 1050–1054
3. Koyama A, Igarashi M, Kobayashi M. Natural history and risk factors
for immunoglobulin A nephropathy in Japan. Research Group on
Progressive Renal Diseases. Am J Kidney Dis 1997; 29: 526–532
4. Geddes CC, Rauta V, Gronhagen-Riska C et al. A tricontinental view
of IgA nephropathy. Nephrol Dial Transplant 2003; 18: 1541–1548
5. Hsu SI, Ramirez SB, Winn MP et al. Evidence for genetic factors in
the development and progression of IgA nephropathy. Kidney Int
2000; 57: 1818–1835
6. Schena FP, Scivittaro V, Ranieri E et al. Abnormalities of the IgA
immune system in members of unrelated pedigrees from patients with
IgA nephropathy. Clin Exp Immunol 1993; 92: 139–144
7. Bisceglia L, Cerullo G, Forabosco P et al. Genetic heterogeneity in
Italian families with IgA nephropathy: suggestive linkage for two
novel IgA nephropathy loci. Am J Hum Genet 2006; 79: 1130–1134
8. Gharavi AG, Yan Y, Scolari F et al. IgA nephropathy, the most common cause of glomerulonephritis, is linked to 6q22–23. Nat Genet
2000; 26: 354–357
9. O'Connell PJ, Ibels LS, Thomas MA et al. Familial IgA nephropathy:
a study of renal disease in an Australian aboriginal family. Aust N Z J
Med 1987; 17: 27–33
10. Julian BA, Quiggins PA, Thompson JS et al. Familial IgA nephropathy. Evidence of an inherited mechanism of disease. N Engl J Med
1985; 312: 202–208
11. Paterson AD, Liu XQ, Wang K et al. Genome-wide linkage scan of a
large family with IgA nephropathy localizes a novel susceptibility locus to chromosome 2q36. J Am Soc Nephrol 2007; 18: 2408–2415
12. The Wellcome Trust Case Control Consortium. Genome-wide association study of 14, 000 cases of seven common diseases and 3,000
shared controls. Nature 2007; 447: 661–678
13. Ohtsubo S, Iida A, Nitta K et al. Association of a single-nucleotide
polymorphism in the immunoglobulin mu-binding protein 2 gene
with immunoglobulin A nephropathy. J Hum Genet 2005; 50:
30–35
14. Li YJ, Du Y, Li CX et al. Family-based association study showing
that immunoglobulin A nephropathy is associated with the poly-
H. Shima et al.
Cerebral microbleeds in predialysis patients with chronic kidney disease
1555
population. Chronic kidney disease (CKD) is an independent risk factor for cardiovascular disease. The relationship
between CKD and CMBs, which has not been clarified to
date, is examined.
Methods. In this cross-sectional study, T2*-weighted MRI
of brain was performed with a 1.5-T MRI system in 162
CKD patients (CKD stages 1–5, excluding CKD stage 5
(D)) and 24 normal subjects.
Results. CMBs were found in 35 CKD patients (25.6%),
but not in control subjects. CMBs were more prevalent in
male patients, in those with higher blood pressure, advanced
age and poor kidney function. There was a significant association between the prevalence of CMBs and the CKD
stage, with higher prevalence of CMBs as the CKD stages
advanced (P < 0.01). Estimated glomerular filtration rate
was a significant factor associated with the prevalence of
CMBs, independent of age, gender and hypertension. There
was no significant relationship between CMBs and the presence of diabetes mellitus and dyslipidemia.
Conclusions. Decreased renal function is a significant risk
factor for CMBs, independent of the presence of hypertension. Poor kidney function could be associated with future
cerebrovascular events.
[16,17,19]. In haemodialysis patients, there is a significantly higher prevalence of CMBs compared with normal
subjects [20,21]. However, there have been no reports on
the prevalence of CMBs in CKD patients without dialysis
therapy. In the present stu (...truncated)