Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Sotoodeh Abhary is active.

Publication


Featured researches published by Sotoodeh Abhary.


Diabetes | 2009

A Systematic Meta-Analysis of Genetic Association Studies for Diabetic Retinopathy

Sotoodeh Abhary; Alex W. Hewitt; Kathryn P. Burdon; Jamie E. Craig

OBJECTIVE Diabetic retinopathy is a sight-threatening microvascular complication of diabetes with a complex multifactorial pathogenesis. A systematic meta-analysis was undertaken to collectively assess genetic studies and determine which previously investigated polymorphisms are associated with diabetic retinopathy. RESEARCH DESIGN AND METHODS All studies investigating the association of genetic variants with the development of diabetic retinopathy were identified in PubMed and ISI Web of Knowledge. Crude odds ratios (ORs) and 95% CIs were calculated for single nucleotide polymorphisms and microsatellite markers previously investigated in at least two published studies. RESULTS Twenty genes and 34 variants have previously been studied in multiple cohorts. The aldose reductase (AKR1B1) gene was found to have the largest number of polymorphisms significantly associated with diabetic retinopathy. The z−2 micro satellite was found to confer risk (OR 2.33 [95% CI 1.49–3.64], P = 2 × 10−4) in type 1 and type 2 diabetes and z+2 to confer protection (0.58 [0.36–0.93], P = 0.02) against diabetic retinopathy in type 2 diabetes regardless of ethnicity. The T allele of the AKR1B1 promoter rs759853 variant is also significantly protective against diabetic retinopathy in type 1 diabetes (0.5 [0.35–0.71], P = 1.00 × 10−4), regardless of ethnicity. These associations were also found in the white population alone (P < 0.05). Polymorphisms in NOS3, VEGF, ITGA2, and ICAM1 are also associated with diabetic retinopathy after meta-analysis. CONCLUSIONS Variations within the AKR1B1 gene are highly significantly associated with diabetic retinopathy development irrespective of ethnicity. Identification of genetic risk factors in diabetic retinopathy will assist in further understanding of this complex and debilitating diabetes complication.


PLOS ONE | 2010

Sequence variation in DDAH1 and DDAH2 genes is strongly and additively associated with serum ADMA concentrations in individuals with type 2 diabetes

Sotoodeh Abhary; Kathryn P. Burdon; Abraham Kuot; Shahrbanou Javadiyan; Malcolm Whiting; Nicholas Kasmeridis; Nikolai Petrovsky; Jamie E. Craig

Background Asymmetric dimethylarginine (ADMA), present in human serum, is an endogenous inhibitor of nitric oxide synthase and contributes to vascular disease. Dimethylarginine dimethylaminohydrolase (DDAH) is an ADMA degrading enzyme that has two isoforms: DDAHI and DDAHII. We sought to determine whether serum ADMA levels in type 2 diabetes are influenced by common polymorphisms in the DDAH1 and DDAH2 genes. Methodology/Principal Findings Relevant clinical parameters were measured and peripheral whole blood obtained for serum and genetic analysis on 343 participants with type 2 diabetes. Serum ADMA concentrations were determined by mass spectroscopy. Twenty six tag SNPs in the DDAH1 and 10 in the DDAH2 gene were genotyped in all subjects and tested for association with serum ADMA levels. Several SNPs and haplotypes in the DDAH genes were strongly associated with ADMA levels. Most significantly in the DDAH1 gene, rs669173 (p = 2.96×10−7), rs7521189 (p = 6.40×10−7), rs2474123 (p = 0.00082) and rs13373844 (p = 0.00027), and in the DDAH2 gene, rs3131383 (p = 0.0029) and the TGCCCAGGAG haplotype (p = 0.0012) were significantly associated with ADMA levels. Sub-analysis by diabetic retinopathy (DR) status revealed these variants were associated with ADMA levels predominantly in participants without DR. Combined analysis of the most strongly associated SNPs in DDAH1 (rs669173) and DDAH2 (rs3131383) revealed an additive effect (p = 1.37×10−8) on ADMA levels. Conclusions/Significance Genetic variation in the DDAH1 and 2 genes is significantly associated with serum ADMA levels. Further studies are required to determine the pathophysiological significance of elevated serum ADMA in type 2 diabetes and to better understand how DDAH gene variation influences ADMA levels.


Investigative Ophthalmology & Visual Science | 2009

Common Sequence Variation in the VEGFA Gene Predicts Risk of Diabetic Retinopathy

Sotoodeh Abhary; Kathryn P. Burdon; Aanchal Gupta; Stewart Lake; Dinesh Selva; Nikolai Petrovsky; Jamie E. Craig

PURPOSE Vascular endothelial growth factor (VEGF) is a multifunctional cytokine that plays a role in angiogenesis and microvascular permeability. This study was conducted to determine whether common sequence variation in the VEGFA gene plays a role in the development of diabetic retinopathy (DR). METHOD Five hundred fifty-four subjects with diabetes mellitus (DM) including 190 type 1 DM (T1DM) and 364 type 2 DM (T2DM) were recruited. The study group consisted of 235 participants without DR, 158 with nonproliferative DR (NPDR), 132 with proliferative DR (PDR), and 93 with clinically significant macular edema (CSME). Blinding DR was defined as severe NPDR, PDR, or CSME. Fifteen VEGFA tag single-nucleotide polymorphisms (SNPs) were genotyped in all subjects and tested for association with blinding DR. RESULTS Multiple tag SNPs in the VEGFA gene were associated with blinding DR. After controlling for sex, HbA1c, and duration of disease, in T1DM, the AA genotype of rs699946 (P = 0.007, odds ratio [OR], 4.1; 95% confidence interval [CI], 1.5-11.4) and the GG genotype of rs833068 (P = 0.017, OR, 3.1; 95% CI, 1.3-7.2) were most significantly associated. In T2DM, the C allele of rs3025021 (P = 0.002; OR, 3.8; 95% CI, 1.5-10.0) and the G allele of rs10434 (P = 0.002; OR, 2.6; 95% CI, 1.3-5.3) were most significantly associated with blinding DR. Haplotype analyses suggested an important role for the haplotype TCCGCG in blinding DR (P = 0.0004). CONCLUSIONS Sequence variation in the VEGFA gene is associated with risk of developing blinding DR in T1DM and T2DM. Identifying specific genetic markers will allow for refined screening algorithms and earlier intervention in patients at highest risk.


Diabetes Care | 2009

Diabetic Retinopathy Is Associated With Elevated Serum Asymmetric and Symmetric Dimethylarginines

Sotoodeh Abhary; Nicholas Kasmeridis; Kathryn P. Burdon; Abraham Kuot; Malcolm Whiting; Wai Ping Yew; Nikolai Petrovsky; Jamie E. Craig

OBJECTIVE Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), and l-arginine directly influence nitric oxide production. Our objective was to test whether serum ADMA, SDMA, or l-arginine levels correlate with diabetic retinopathy subtype or severity. RESEARCH DESIGN AND METHODS A total of 162 subjects with type 1 diabetes and 343 with type 2 diabetes, of whom 329 subjects had no diabetic retinopathy, 27 had nonproliferative diabetic retinopathy (NPDR), 101 had proliferative diabetic retinopathy (PDR), and 107 had clinically significant macular edema (CSME), were recruited. Blinding diabetic retinopathy was defined as severe NPDR, PDR, or CSME. Serum ADMA, SDMA, and l-arginine concentrations were determined by mass spectroscopy. RESULTS In multivariate analysis, blinding diabetic retinopathy, PDR, and nephropathy were associated with significantly increased serum levels of ADMA (P < 0.001), SDMA (P < 0.001), and l-arginine (P = 0.001). Elevated ADMA (P < 0.001) and SDMA (P < 0.001) were also significantly associated with CSME. CONCLUSIONS Severe forms of diabetic retinopathy are associated with elevated serum ADMA, SDMA, and l-arginine. Further investigation is required to determine whether these findings are of clinical relevance.


Diabetes Care | 2010

Aldose Reductase Gene Polymorphisms and Diabetic Retinopathy Susceptibility

Sotoodeh Abhary; Kathryn P. Burdon; Kate J. Laurie; Stacey Thorpe; John Landers; Lucy Goold; Stewart Lake; Nikolai Petrovsky; Jamie E. Craig

OBJECTIVE Aldose reductase (ALR) is involved in diabetic microvascular damage via the polyol pathway. A recent meta-analysis found genetic variation in the ALR gene (AKR1B1) to be significantly associated with diabetic retinopathy (DR). We investigated the genetic association of AKR1B1 with DR. RESEARCH DESIGN AND METHODS The study enrolled 909 individuals with diabetes. Participants were genotyped for an AKR1B1 (CA)n microsatellite and 14 tag single nucleotide polymorphisms, and ophthalmological assessment was performed. RESULTS A total of 514 individuals were found to have DR. rs9640883 was significantly associated with DR (P = 0.0005). However, AKR1B1 variation was not independently associated with DR development after adjusting for relevant clinical parameters. rs9640883 was associated with duration of diabetes (P = 0.002). CONCLUSION Many previous reports have failed to account for known risk factors for DR. The commonly reported association of AKR1B1 with DR may be due to an association of the gene with younger age at onset of diabetes.


Diabetologia | 2015

Genome-wide association study for sight-threatening diabetic retinopathy reveals association with genetic variation near the GRB2 gene

Kathryn P. Burdon; Rhys Fogarty; Weiyong Shen; Sotoodeh Abhary; Georgia Kaidonis; Binoy Appukuttan; Alex W. Hewitt; Shiwani Sharma; Mark Daniell; Rohan W. Essex; John H. Chang; Sonja Klebe; Stewart Lake; Bishwanath Pal; Alicia J. Jenkins; Govindarjan Govindarjan; Periasamy Sundaresan; Ecosse L. Lamoureux; Kim Ramasamy; Maria Pefkianaki; Philip Hykin; Nikolai Petrovsky; Matthew A. Brown; Mark C. Gillies; Jamie E. Craig

Aims/hypothesisDiabetic retinopathy is a serious complication of diabetes mellitus and can lead to blindness. A genetic component, in addition to traditional risk factors, has been well described although strong genetic factors have not yet been identified. Here, we aimed to identify novel genetic risk factors for sight-threatening diabetic retinopathy using a genome-wide association study.MethodsRetinopathy was assessed in white Australians with type 2 diabetes mellitus. Genome-wide association analysis was conducted for comparison of cases of sight-threatening diabetic retinopathy (n = 336) with diabetic controls with no retinopathy (n = 508). Top ranking single nucleotide polymorphisms were typed in a type 2 diabetes replication cohort, a type 1 diabetes cohort and an Indian type 2 cohort. A mouse model of proliferative retinopathy was used to assess differential expression of the nearby candidate gene GRB2 by immunohistochemistry and quantitative western blot.ResultsThe top ranked variant was rs3805931 with p = 2.66 × 10−7, but no association was found in the replication cohort. Only rs9896052 (p = 6.55 × 10−5) was associated with sight-threatening diabetic retinopathy in both the type 2 (p = 0.035) and the type 1 (p = 0.041) replication cohorts, as well as in the Indian cohort (p = 0.016). The study-wide meta-analysis reached genome-wide significance (p = 4.15 × 10−8). The GRB2 gene is located downstream of this variant and a mouse model of retinopathy showed increased GRB2 expression in the retina.Conclusions/interpretationGenetic variation near GRB2 on chromosome 17q25.1 is associated with sight-threatening diabetic retinopathy. Several genes in this region are promising candidates and in particular GRB2 is upregulated during retinal stress and neovascularisation.


Investigative Ophthalmology & Visual Science | 2012

Elevation of serum asymmetrical and symmetrical dimethylarginine in patients with advanced glaucoma.

Shahrbanou Javadiyan; Kathryn P. Burdon; Malcolm Whiting; Sotoodeh Abhary; Tania Straga; Alex W. Hewitt; Richard Ad Mills; Jamie E. Craig

PURPOSE Asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) are the dimethylated isomeric derivatives of the amino acid L-arginine. ADMA is an endogenous inhibitor of nitric oxide synthase (NOS), while SDMA is a competitive inhibitor of cellular uptake of L-arginine, the substrate for NOS. As such, these metabolites are associated with endothelial dysfunction. As the nitric oxide pathway and endothelial dysfunction have been implicated in glaucoma, the aim of this study was to investigate serum ADMA, SDMA, and L-arginine levels in individuals with advanced glaucoma compared with normal controls. In addition, we have investigated genetic variation in the DDAH1 and DDAH2 genes, encoding the enzymes responsible for degradation of ADMA, for association with ADMA level in glaucoma patients and controls. METHODS Two hundred eleven patients with advanced glaucoma and 295 normal controls were recruited. Liquid chromatography-tandem mass spectrometry was used to measure the serum ADMA, SDMA, and L-arginine levels of participants. Single nucleotide polymorphisms in the DDAH1 and DDAH2 genes reportedly associated with ADMA level were genotyped in all individuals. RESULTS A significant increase in both serum ADMA and SDMA concentration was detected in advanced glaucoma cases compared with controls (P ≤ 0.0001). No significant change was detected in serum L-arginine concentration. No association of polymorphisms in DDAH1 and DDAH2 with either ADMA level or glaucoma was detected. CONCLUSIONS The serum levels of two dimethylarginines, ADMA and SDMA, are associated with advanced glaucoma. These data further implicate the nitric-oxide pathway in glaucoma pathogenesis.


Clinical and Experimental Ophthalmology | 2010

Prevalence and associations of diabetic retinopathy in indigenous Australians within central Australia: the Central Australian Ocular Health Study

John Landers; Tim Henderson; Sotoodeh Abhary; Jamie E. Craig

Purpose:  To determine the prevalence and associations of diabetic retinopathy (DR) within the indigenous Australian population living in central Australia.


Journal of Diabetes and Its Complications | 2012

Relationship between DDAH gene variants and serum ADMA level in individuals with type 1 diabetes

Rhys Fogarty; Sotoodeh Abhary; Shahrbanou Javadiyan; Nicholas Kasmeridis; Nikolai Petrovsky; Malcolm Whiting; Jamie E. Craig; Kathryn P. Burdon

Asymmetric dimethylarginine (ADMA) levels are elevated in diabetes and likely contribute to diabetic complications such as retinopathy and nephropathy. The DDAH enzymes are primarily responsible for ADMA metabolism. Polymorphisms in the dimethylarginine dimethylaminohydrolase (DDAH) 1 and 2 genes have been previously associated with serum ADMA levels in type 2 diabetes (T2DM). We sought to determine whether they are also associated with ADMA levels in individuals with type 1 diabetes (T1DM). Serum ADMA concentrations were measured in 196 individuals with T1DM. Twenty-six tag SNPs in the DDAH1 gene and 10 in the DDAH2 gene were genotyped. One SNP in the DDAH1 gene (rs3738111) and one in the DDAH2 gene (rs805293) showed a correlation with serum ADMA levels; however, neither survived correction for multiple testing. We found limited evidence that genetic polymorphisms in DDAH genes influence serum ADMA levels in individuals with T1DM. This differs to findings in T2DM and may be due to underlying differences in the cohorts or to fundamental differences in the pathogenesis of the two types of diabetes.


Clinical and Experimental Ophthalmology | 2014

Genetic study of diabetic retinopathy: recruitment methodology and analysis of baseline characteristics

Georgia Kaidonis; Sotoodeh Abhary; Mark Daniell; Mark C. Gillies; Rhys Fogarty; Nikolai Petrovsky; Alicia J. Jenkins; Rohan W. Essex; John H. Chang; Bishwanath Pal; Alex W. Hewitt; Kathryn P. Burdon; Jamie E. Craig

Diabetic retinopathy (DR) is a blinding disease of increasing prevalence that is caused by a complex interplay of genetic and environmental factors. Here we describe the patient recruitment methodology, case and control definitions, and clinical characteristics of a study sample to be used for genome‐wide association analysis to detect genetic risk variants of DR.

Collaboration


Dive into the Sotoodeh Abhary's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

John H. Chang

University of New South Wales

View shared research outputs
Top Co-Authors

Avatar

Mark Daniell

University of Melbourne

View shared research outputs
Researchain Logo
Decentralizing Knowledge