Literature DB >> 24385851

Germline DNA copy number variation in individuals with Argyrophilic grain disease reveals CTNS as a plausible candidate gene.

Darine Villela1, Lilian Kimura1, David Schlesinger2, Amanda Gonçalves3, Peter L Pearson1, Claudia K Suemoto4, Carlos Pasqualucci5, Ana Cristina Krepischi3, Lea T Grinberg5, Carla Rosenberg1.   

Abstract

Argyrophilic grain disease (AGD) is a progressive neurodegenerative disease of the human brain that has never been associated to a particular gene locus. In the present study, we report the results of a CNV investigation in 29 individuals whose anatomopathologic investigation of the brain showed AGD. Rare CNVs were identified in six patients (21%), in particular a 40 kb deletion at 17p13.2 encompassing the CTNS gene. Homozygote mutations in CTNS are known to cause cystinosis, a disorder characterized by the intralysosomal accumulation of cystine in all tissues. We present the first CNV results in individuals presenting AGD and a possible candidate gene implicated in the disorder.

Entities:  

Keywords:  Argyrophilic grain disease; CNVs; CTNS; array-CGH; copy number variations

Year:  2013        PMID: 24385851      PMCID: PMC3873179          DOI: 10.1590/S1415-47572013000400006

Source DB:  PubMed          Journal:  Genet Mol Biol        ISSN: 1415-4757            Impact factor:   1.771


Argyrophilic grain disease (AGD) is a neuro-degenerative disorder of the aged human brain morphologically characterized by the presence of argyrophilic grains (AG) mainly in limbic areas. Several studies have shown frequent association of AGD with other tauopathies such as Alzheimer’s and Pick’s diseases, and its prevalence increases significantly with age, present in up to 40% of all 85 years or older individuals (Tolnay and Clavaguera, 2004). However, the cause of AGD remains unknown; the disease seems to be sporadic but genetic studies have failed to discover a link between AGD and a particular gene locus. The contribution of DNA copy number variations (CNVs) in the phenotypes of various complex diseases has been widely demonstrated over the past years. In fact, CNVs are increasingly recognized to be a prevalent form of common genetic variation in the human population. Even though a great number of studies have demonstrated the role of CNVs in the etiology of several neuropsychiatric disorders (Lee and Lupski, 2006; Cook and Scherer, 2008) there are no reports of specific CNVs related do AGD. Here, we identified rare constitutive CNVs in individuals with AGD, in particular one at 17p13.2 that points to deletions in the cystinosin, lysosomal cystine transporter gene, CTNS, as strong candidate to cause AGD. The Brain Bank of the Brazilian Aging Brain Study Group (BBBABSG) (Grinberg ) provided DNA from blood samples of 29 individuals with AGD. The individuals of our group ranged in age from 50 to 89 and included females and males. Table 1 presents the characterization of all cases investigated in this study. The neuropathological diagnosis of AGD was based, at least, on the presence of AG in hippocampal CA1 area (CA - Cornu Ammonis) and entorhinal region, as well as in pretangles in hippocampal CA2 area in sections immunostained with the phosphor-tau antibody (PHF1, 1:1000, gift from Peter Davies, NY) according to accepted criteria (Braak and Braak, 1987). The subject’s clinical and functional statuses were assessed through a knowledgeable informant based on a validated clinical protocol. The protocol includes a series of semi-structured scales and questionnaires that cover major functional abilities and were validated for assessment with an informant (Grinberg ). BBBABSG’s procedures were approved by the Ethical Board of University of São Paulo Medical School and the next-of-kin agreed to participate and signed an informed written consent.
Table 1

Case profiles of the all subjects with Argyrophilic grain disease investigated in this study.

CaseAge at death (years)GenderStages of senile changes
Additional pathologyCause of death
NFTSPLB
185F3A--Chronic obstructive pulmonary disease
289F20-VDPulmonary thromboembolism
385F3B--Esophageal cancer
484F00--Acute pulmonary edema
578M2A-VDPeritonitis
685F20--Aortic aneurysm
779M00--Gastric ulcer
882F20--Aortic aneurysm
972F10-VDIschemic heart disease
1075F2BPDPulmonary thromboembolism
1167F10--Pneumonia
1276F30--Heart failure
1380M3A--Pneumonia
1473F30--Myocardial sclerosis
1581F4C-AD+VDAortic aneurysm
1659M10--Pneumonia
1780M20--Hypertensive heart disease
1886M40--Heart failure
1958M10--Coronary artery disease
2050M10--Pneumonia
2176F00--Perforated gastric ulcer
2276M00--Myocardial infarction
2380M00--Myocardial infarction
2488F30--Ischemic heart disease
2569F10--Pulmonary thromboembolism
2683F3A--Myocardial infarction
2785F30--Pneumonia
2889M20--Duodenal ulcer bleeding
2980M3A--Chronic obstructive pulmonary disease

NFT=neurofibrillary tangle, Braak stage; SP=senile plaque, CERAD (Consortium to Establish a Registry for Alzheimer’s Disease); LB=Lewy body; VD=vascular dementia; PD=Parkinson disease; AD=Alzheimer’s disease.

To identify CNVs we performed oligonucleotide comparative genomic hybridization based on microarrays (array-CGH) using a whole-genome platform containing ∼180.000 oligonucleotides (180k platform) (Oxford Gene Technologies, UK). Briefly, samples were labeled with Cy3- and Cy5-deoxycytidine triphosphates by random priming. Purification, hybridization and washing were carried out as previously reported (Krepischi ). Scanned images of the arrays were processed using Feature Extraction software and data were analyzed with the Genomic Workbench software, both from Agilent Technologies. To distinguish CNVs, we used the Aberration Detection Method 2 statistical algorithm (ADM2) with a sensitivity threshold of 6.7. A genomic segment was considered duplicated or deleted when the log2 ratio of the Test/Reference fluorescent intensities of a given region encompassing at least three probes was above 0.3 or below −0.3, respectively. Detected CNVs were compared to CNV data from oligoarray studies documented in the Database of Genomic Variants (DGV). The relevant CNVs were validated by dye-swap hybridizations, and only a mirror result would be confirmatory of the CNVs presence. The array-CGH analysis revealed rare CNVs (rare defined as frequency < 0.1% of population, based on DGV) in six individuals among the 29 with AGD, none of them recurrent. To exclude that these rare CNVs represent common variants in the Brazilian population, we compiled CNV data obtained with the same 180K array-CGH platform from more than 400 independent samples studied in our laboratory for reasons other than dementia. None of the rare CNVs documented in this study were detected in these subjects. Table 2 summarizes the rare CNVs identified in our group and shows the genes encompassed by these genomic imbalances. Any of the rare CNVs detected are potential candidates for the investigated phenotype; however, we highlighted the genomic 40 kb microdeletion of at 17p13.2 that includes the CTNS gene as especially interesting due to its relevant gene content and the lack of reports on copy number changes affecting this gene. Figure 1 shows the validation of this CNV made by reverse labeling hybridization, where it is possible to see that the alteration is mirrored.
Table 2

Descriptions of all rare copy number variations identified in the individuals with Argyrophilic grain disease.

CaseChrCytobandStart siteEnd siteCNV typeSize (kb)Gene (s)
210p131499660815043743del44MEIG1
39p24.157632355881920del70KIAA1432, ERMP1
417p13.235276283560118del40SHPK, CTNS
141p31.17859455779456374dup789GIPC2, MGC27382, PTGFR, IFI44L, ELTD1
1712q12.12572365125755485del30IFLTD1
215q14.2–q14.38263076182851414dup103XRCC4, VCAN

Genomic positions based on GRCh37 Build reference sequence. Highlighted in bold is a CNV with relevant gene content for the investigated phenotype. CNV= copy number variation; del = deletion; dup = duplication.

Figure 1

The 17p13.2 rare CNV detected in a subject with Argyrophilic grain disease. (A) Array-CGH profile of the genomic segment containing the CNV, and its reverse labeling hybridization (image based on the Genome Workbench software); (B) Ideogram of chromosome 17 showing the position of the CNV (small vertical red bar); (C) Region covered by the CNV. CNV loci reported in the general population are indicated by blue (gain), red (loss) and brown (complex rearrangement) bars in the Database of Genomic Variants (DGV) (image derived from the DGV, freeze September 2013).

The CTNS gene encodes a seven-transmembrane domain protein that functions to transport cystine out of lysosomes. Its activity is driven by the H+ electrochemical gradient across the lysosomal membrane. Mutations in this gene cause cystinosis, a rare autosomal recessive disorder characterized by the intralysosomal accumulation of cystine in all tissues (Kalatzis and Antignac, 2002). The most common mutation associated with this rare disease is a deletion of 65 kb presented in homozygosity that also includes the SHPK gene. The protein encoded by this latter gene has weak homology to several carbohydrate kinases, a class of proteins involved in the phosphorylation of sugars as they enter the cell, inhibiting return across the cell membrane (Wamelink ). Our results show a heterozygous deletion in the CTNS gene encompassing the region of this common mutation associated with cystinosis. Literature data demonstrate that the brain is one of the last organs to be affected by the progressive cystine accumulation (Cochat ). Cognitive impairments have been documented in some cystinosis patients, which presented deficit in visual-spatial memory (Trauner ; Scarvie ). Additionally, an investigation showed that Ctns -/- knockout mice present a severe age-related memory deficit (Maurice ). Therefore, this evidence makes CTNS a good candidate gene for susceptibility to AGD. In conclusion, this is the first study to identify a rare CNV at 17p13.2 with AGD and links this disease with a particular gene locus, the CTNS.
  12 in total

Review 1.  Cystinosis: from gene to disease.

Authors:  Vasiliki Kalatzis; Corinne Antignac
Journal:  Nephrol Dial Transplant       Date:  2002-11       Impact factor: 5.992

Review 2.  Genomic rearrangements and gene copy-number alterations as a cause of nervous system disorders.

Authors:  Jennifer A Lee; James R Lupski
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

3.  Two distinct regions in 2q24.2-q24.3 associated with idiopathic epilepsy.

Authors:  Ana Cristina Victorino Krepischi; Jeroen Knijnenburg; Debora Romeo Bertola; Chong Ae Kim; Peter Lees Pearson; Emilia Bijlsma; Karoly Szuhai; Fernando Kok; Angela Maria Vianna-Morgante; Carla Rosenberg
Journal:  Epilepsia       Date:  2010-09-30       Impact factor: 5.864

4.  Neurologic and cognitive deficits in children with cystinosis.

Authors:  D A Trauner; C Chase; J Scheller; B Katz; J A Schneider
Journal:  J Pediatr       Date:  1988-06       Impact factor: 4.406

5.  Visuomotor performance in children with infantile nephropathic cystinosis.

Authors:  K M Scarvie; A O Ballantyne; D A Trauner
Journal:  Percept Mot Skills       Date:  1996-02

6.  Brain bank of the Brazilian aging brain study group - a milestone reached and more than 1,600 collected brains.

Authors:  Lea Tenenholz Grinberg; Renata Eloah de Lucena Ferretti; José Marcelo Farfel; Renata Leite; Carlos Augusto Pasqualucci; Sérgio Rosemberg; Ricardo Nitrini; Paulo Hilário Nascimento Saldiva; Wilson Jacob Filho
Journal:  Cell Tissue Bank       Date:  2006-10-31       Impact factor: 1.522

7.  Cystine accumulation in the CNS results in severe age-related memory deficits.

Authors:  Tangui Maurice; Claire Hippert; Nicolas Serratrice; Grégor Dubois; Chantal Jacquet; Corinne Antignac; Eric J Kremer; Vasiliki Kalatzis
Journal:  Neurobiol Aging       Date:  2007-10-30       Impact factor: 4.673

8.  Cerebral atrophy and nephropathic cystinosis.

Authors:  P Cochat; R Drachman; M F Gagnadoux; D Pariente; M Broyer
Journal:  Arch Dis Child       Date:  1986-04       Impact factor: 3.791

9.  Sedoheptulokinase deficiency due to a 57-kb deletion in cystinosis patients causes urinary accumulation of sedoheptulose: elucidation of the CARKL gene.

Authors:  Mirjam M C Wamelink; Eduard A Struys; Erwin E W Jansen; Elena N Levtchenko; Fokje S M Zijlstra; Udo Engelke; Henk J Blom; Cornelis Jakobs; Ron A Wevers
Journal:  Hum Mutat       Date:  2008-04       Impact factor: 4.878

10.  Argyrophilic grains: characteristic pathology of cerebral cortex in cases of adult onset dementia without Alzheimer changes.

Authors:  H Braak; E Braak
Journal:  Neurosci Lett       Date:  1987-04-23       Impact factor: 3.046

View more
  3 in total

1.  Frontotemporal lobar degeneration: defining phenotypic diversity through personalized medicine.

Authors:  David J Irwin; Nigel J Cairns; Murray Grossman; Corey T McMillan; Edward B Lee; Vivianna M Van Deerlin; Virginia M-Y Lee; John Q Trojanowski
Journal:  Acta Neuropathol       Date:  2014-12-31       Impact factor: 17.088

2.  Argyrophilic Grain Disease: Demographics, Clinical, and Neuropathological Features From a Large Autopsy Study.

Authors:  Roberta Diehl Rodriguez; Claudia Kimie Suemoto; Mariana Molina; Camila Fernandes Nascimento; Renata Elaine Paraizo Leite; Renata Eloah de Lucena Ferretti-Rebustini; José Marcelo Farfel; Helmut Heinsen; Ricardo Nitrini; Kenji Ueda; Carlos Augusto Pasqualucci; Wilson Jacob-Filho; Kristine Yaffe; Lea Tenenholz Grinberg
Journal:  J Neuropathol Exp Neurol       Date:  2016-06-09       Impact factor: 3.685

Review 3.  Argyrophilic grain disease: An underestimated tauopathy.

Authors:  Roberta Diehl Rodriguez; Lea Tenenholz Grinberg
Journal:  Dement Neuropsychol       Date:  2015 Jan-Mar
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.