Plasma homocysteine and genetic variants of homocysteine metabolism enzymes in patients from central Greece with primary open-angle glaucoma and pseudoexfoliation glaucoma.
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ABSTRACT:
SUBMITTER: Zacharaki F
PROVIDER: S-EPMC4166342 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
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Plasma homocysteine and genetic variants of homocysteine metabolism enzymes in patients from central Greece with primary open-angle glaucoma and pseudoexfoliation glaucoma.
Zacharaki Fani F Hadjigeorgiou Georgios M GM Koliakos Georgios G GG Morrison Margaux A MA Tsezou Aspasia A Chatzoulis Dimitrios Z DZ Almpanidou Pavlina P Topouridou Konstantina K Karabatsas Constantinos H CH Pefkianaki Maria M DeAngelis Margaret M MM Tsironi Evangelia E EE
Clinical ophthalmology (Auckland, N.Z.) 20140911
<h4>Background</h4>The purpose of this study was to investigate plasma homocysteine levels and polymorphisms in genes encoding enzymes in the metabolic pathway of homocysteine in association with primary open-angle glaucoma (POAG) and pseudoexfoliation glaucoma (PXFG).<h4>Methods</h4>A total of 156 glaucoma patients (76 with POAG and 80 with PXFG) and 135 controls matched for age and sex were enrolled in this study. Plasma homocysteine levels were measured using a commercially available enzyme-l ...[more]
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Project description:PurposeTo evaluate genes involved in homocysteine metabolism as secondary risk factors for pseudoexfoliation syndrome (PXFS) and the associated glaucoma (PXFG).MethodsOne hundred eighty-six unrelated patients with PXFS, including 140 patients with PXFG and 127 unrelated control subjects were recruited from the Massachusetts Eye and Ear Infirmary. All the patients and controls were Caucasian of European ancestry. Seventeen tag SNPs from 5 genes (methylenetetrahydrofolate reductase [MTHFR], methionine synthase [MTR], methionine synthase reductase [MTRR], methylenetetrahydrofolate dehydrogenase [MTHFD1], and cystathionine beta-synthase [CBS]) were genotyped. Single-SNP association was analyzed using Fisher's exact test (unconditional) or logistic regression after conditioning on the effects of age and three LOXL1 SNPs (rs1048661, rs3825942, and rs2165241). Interaction analysis was performed between the homocysteine and LOXL1 SNPs using logistic regression. Haplotype analysis and the set-based test were used to test for association of individual genes. Multiple comparisons were corrected using the Bonferroni method.ResultsOne SNP (rs8006686) in MTHFD1 showed a nominally significant association with PXFG (p=0.015, OR=2.23). None of the seventeen SNPs tested were significantly associated with PXFS or PXFG after correcting for multiple comparisons (Bonferroni corrected p>0.25). After controlling for the effects of age and three associated LOXL1 SNPs, none of the seventeen tested SNPs were associated with PXFS (p>0.12). No significant interaction effects on PXFS were identified between the homocysteine and LOXL1 SNPs (p>0.06). Haplotype analysis and the set-based test did not find significant association of individual genes with PXFS (p>0.23 and 0.20, respectively).ConclusionsFive genes that are critical components of the homocysteine metabolism pathway were evaluated as secondary factors for PXFS and PXFG. Our results suggest that these genes are not significant risk factors for the development of these conditions.
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Project description:PurposeDespite the different etiology of primary open angle glaucoma (POAG), primary angle closure glaucoma (PACG), and pseudoexfoliative glaucoma (PEXG), several studies have suggested that these forms of glaucoma have overlapping genetic risk factors. Therefore, the aim of this study was to evaluate the role of genetic variants recently associated with POAG in different types of glaucoma in Pakistani POAG, PACG, and PEXG patient cohorts.MethodsSix variants in CDKN2B-AS1 (rs4977756), CDKN2B (rs1063192), ATOH7 (rs1900004), CAV1 (rs4236601), TMCO1 (rs4656461), and SIX1 (rs10483727) were genotyped using TaqMan assays. A total of 513 unrelated patients with glaucoma (268 with POAG, 125 with PACG, and 120 with PEXG) and 233 healthy controls were included in the study. Genotypic and allelic associations were analyzed with a chi-square test.ResultsThe frequency of the G allele of TMCO1 rs4656461 was significantly lower in the patients with POAG (p=0.003; OR [odds ratio]=0.57), PACG (p=0.009; OR=0.52), and PEXG (p=0.01; OR=0.54) compared to the control individuals. The T allele of ATOH7 rs1900004 was observed less frequently in the patients with PACG (p=0.03; OR=0.69) compared to the control individuals. The A allele of CAV1 rs4236601 was found more frequently in the patients with POAG (p=0.008; OR=1.49) compared to the control individuals. This study demonstrates that the TMCO1 rs4656461 variant is associated with POAG, PACG and PEXG in the Pakistani population. Our study was unable to confirm previous associations reported for variants in CDKN2B-AS1, CDKN2B, and SIX1 with any type of glaucoma.ConclusionsIn conclusion, we found consistent evidence of the significant association of three common variants in TMCO1, ATOH7, and CAV1.
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Project description:PurposeTo compare the corneal biomechanical parameters between pseudoexfoliation glaucoma (PXG), primary open-angle glaucoma (POAG) and healthy controls using Corvis ST.MethodsA prospective, cross-sectional study was conducted which included 132 treatment-naïve eyes which underwent Corvis ST. The study cohort comprised of 44 eyes with PXG, 42 eyes with POAG and 46 healthy controls. Corneal biomechanical parameters, which included corneal velocities, length of corneal applanated surface, deformation amplitude (DA), peak distance and radius of curvature, were compared between the groups using analysis of variance models.ResultsThe 3 groups were demographically similar. The mean IOP was 15.7 ±3 mmHg in the control group, 21.3 ±5 mmHg in the POAG group and 25.8 ±7 mmHg in the PXG group (p<0.0001). Corneal pachymetry was similar across the 3 groups. Mean DA was significantly lower (p<0.0001) in the PXG group (0.86 ±0.18 mm) compared to the POAG group (0.97 ±0.14mm) and the control group (1.10 ±0.15mm). Corneal velocities were also found to be statistically significantly different between the groups. However, after adjusting for IOP, there was no difference in any of the biomechanical parameters between the 3 groups.ConclusionCorneal biomechanical parameters measured on Corvis ST are not different between eyes with PXG, POAG and healthy controls after adjusting for IOP.
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| S-EPMC8162581 | biostudies-literature
Project description:A substantial fraction of glaucoma has a genetic basis. About 5% of primary open angle glaucoma (POAG) is currently attributed to single-gene or Mendelian forms of glaucoma (ie glaucoma caused by mutations in myocilin or optineurin). Mutations in these genes have a high likelihood of leading to glaucoma and are rarely seen in normal subjects. Other cases of POAG have a more complex genetic basis and are caused by the combined effects of many genetic and environmental risk factors, each of which do not act alone to cause glaucoma. These factors are more frequently detected in patients with POAG, but are also commonly observed in normal subjects. Additional genes that may be important in glaucoma pathogenesis have been investigated using quantitative traits approaches. Such studies have begun to identify genes that control the magnitude of important quantitative features of glaucoma that may also be important risk factors for POAG, such as central corneal thickness. Each of these different approaches to study glaucoma genetics is providing new insights into the pathogenesis of POAG.
| S-EPMC3171270 | biostudies-literature
Project description:The total RNA from control and POAG optic nerve lamina cribrosa region was isolated and subjected to analysis on U133A 2.0 affymetrix microarray chip. The results from these two analysis was compared to determine whether PAD II RNA level is altered. Purpose of the study. This study was done to determine which RNA transcripts undergo significant changes in the optic nerve between normal and cadaver primary open-angle glaucoma donors. Using donor tissues from NDRI we have performed proteomic analyses (which will be published shortly), we intend a comparison between the proteomic and RNA changes for select proteins in our study. Sample Collection and Preparation of Labeled Copy RNA; The total RNA from optic nerve was obtained using TRIZOL (Invitrogen Inc., Carlsbad, CA) with modification of recommended protocols. The optic nerve from donor eyes were carefully excised and minced into small pieces first using a scissor and then a scalpel. Prior to use tissue was washed with DEPC water and all solutions were prepared in DEPC water. The minced tissue was placed in a glass homogenizer with 1 ml TRIZOL per 100 mg of tissue and homogenized in a glass homogenizer DUALL 20 (Kimble Kontes Glass Co, Vineland, NJ) with 10 strokes cycles each at room temperature and after freezing with liquid nitrogen for 1 min for 40 cycles. This RNA was extracted with chloroform, isoamylalcohol and precipitated with sodium citrate/sodium chloride and isopropanol. The final air-dried RNA precipitate was suspended in DEPC water and stored in â??80oC prior to use. RNA was prepared for hybridization according to the GeneChip Expression Analysis Technical Manual (Affymetrix, Santa Clara, CA). The hybridization was performed at Gene Expression Array Core Facility at Case Western Reserve University (www.geacf.net). The RNA sample was cleaned using a column from a Qiagen RNeasy kit, (part # 74104 ) in accordance with the manufacturerâ??s instructions. The volume of DEPC water used to elute the RNA from the Qiagen column was dictated by the nominal mass of the loaded RNA sample. Samples were eluted in 100ml of water, precipitated with 0.5 volume of 7.5M Ammonium Acetate and 2.5 volumes of 100% ethanol at -20oC for 1 hr and centrifuged for 10 min at room temperature. The pellet was drained and washed twice in 500µl of 70% ethanol. Supernatant was aspirated. The pellet was dried briefly (less than 1 min) in a speeedvac (Savant) and re-suspended in a small volume (~ 12â??15ml) of DEPC water. A small aliquot (2ml) of the sample was used for quantitation. Cleaned RNA samples were annotated as â??clnRNAâ?? and stored at -20oC. cDNA Synthesis; The protocol recommended by Affymetrix Inc. for cDNA synthesis was used at all times. The reaction was primed by annealing an oligo-dT primer coupled to a T7 RNA polymerase promoter to the RNA sample. Whenever possible, 8 mg of clnRNA were reverse transcribed using Superscript II reverse transcriptase in a 20ml reaction at 42oC for 1 hr. Second strand synthesis was carried out immediately in a total reaction volume of 150ml in the presence of E. coli DNA polymerase I, RNAse H and DNA ligase. The reaction mixture incubated for 2 hrs at 16oC and for a further 5 min in the presence of T4 DNA pol.. The reaction was terminated by the addition of EDTA. The sample was cleaned with a Qiagen cDNA clean-up column according to the manufacturers directions. The elution buffer volume was 14ml. The eluted samples were stored overnight at -20oC. In-Vitro Transcription (IVT) reaction; In a 0.5ml microfuge tube, complementary RNA (cRNA) was generated in an IVT reaction using a BioArray High Yield ENZO kit (Affymetrix). The 40ml reaction contained 10ml of cDNA sample and was incubated at 37oC in the heating block for 4-5hrs. Samples were mixed by flicking, pulse-centrifuged and returned to the incubator once every 40 minutes. Upon completion of the reaction, IVT samples were adjusted to a volume of 100ml with DEPC-treated water and cleaned using Qiagen RNA clean-up columns. Samples were eluted in 45ml of DEPC-treated water. A 2ml-aliquot was used for quantitation. Corrected concentrations of cRNA (minus the input clnRNA) were determined. A standard fragmentation reaction volume was 40ml in a 0.5 ml microfuge tube and used 20mg of overall IVT RNA in 1X fragmentation buffer (40mM Tris acetate, pH 8.1, 100mM KOAc, 30mM MgOAc). The reaction was incubated at 94oC for 35min in a heat block. After the 35 min incubation the fragmented samples were placed on ice. The standard hybridization cocktail volume was 300ml. 150ml of 2X hybridization buffer was added (final concentrations : 100mM MES, 1M [Na+], 20mM EDTA, 0.01% Tween 20) Herring sperm and acetylated BSA were added to a final concentration of 0.1 and 0.5mg/ml respectively. The amount of fragmentation reaction containing 15mg of cRNA was added to the cocktail and the remaining volume was made up with molecular biology grade water. A 15ml aliquot of a 20X mixture of in-vitro transcripts of bacterial genes BioB BioC BioD and cre as external controls (spikes) were added to the cocktail to give final concentrations of 1.5, 5, 25 and 100pM respectively. Control oligonucleotide (5ml) was added to a final concentration of 50pM. Array Hybridization; Sample Hyridization cocktails (300ml) were removed from storage at â??20oC and thawed in a 45oC temperature block. The samples were incubated at 45oC for 5 min, incubated at 45oC for 5 min and then centrifuged at 15,000g for 5 min. This study used commercially available Affymetrix HG U133A 2.0 arrays only. These are in situ synthesized, high density oligonucleotide arrays which can interrogate 22,777 gene entities. The part number is 900444 more detailed information may be found at www.affymetrix.com website. Meanwhile, the affymetrix chip arrays were taken from their storage at 4oC and allowed to come to room temperature. The chamber was filled with 1X hybridization buffer (final concentrations : 100mM MES, 1M [Na+], 20mM EDTA, 0.01% Tween 20). The chip was then preconditioned by incubation in the hybridization oven at 45oC for 10 min. The chip was removed and the chamber drained. Sample cocktails (200ml) were then introduced into the chamber of the chips. The ports were sealed with tough-spots stickers and placed in the hybridization oven and incubated at 45oC with rotation overnight. Next day (16hr later), the incubation was terminated and the chips removed from the oven. Samples were retrieved from the chips and stored again in a freezer at -20oC. The chips were filled with buffer A and placed in a module of Fluidics 400 wash station. The chips were subjected to the Affymetrix â??EuKws4 ver 2â?? programmed series of stringent post hybridization washes, staining and post-staining washes in accordance with Affy protocols. Upon completion of the wash series (approximately 2 hrs), the chips were removed from the Fluidics station. The chips were inspected. Chips were scanned using an Agilent Gene Array scanner 3000 driven by Affymetrix GCOS software. Generation of Expression Values; Microarray Suite, version 5 (Affymetrix), was used to generate *.cel files, and a computer program (Probe Profiler, ver. 1.3.11; Corimbia Inc., Berkeley, CA) developed specifically for the GeneChip system (Affymetrix) was used to convert intensity data into quantitative estimates of gene expression for each probe set. The software identifies informative probe pairs, and down-weights the signal contribution of probe pairs that are subject to differential cross-hybridization effects or that consistently produce no signal. The software also detects and corrects for saturation artifacts, outliers, and chip defects. A probability statistic was generated for each probe set. The probability is associated with the null hypothesis that the expression level of the probe set is equal to zero (background). Genes not significantly expressed above background in any of the samples (P > 0.05) were
2008-06-12 | E-GEOD-2387 | biostudies-arrayexpress
Project description:AimTo estimate the risk of blindness with primary angle-closure glaucoma (PACG) compared to primary open-angle glaucoma (POAG) in those population-based studies that reported blindness rates for both PACG and POAG.MethodA systematic search was performed in PubMed for articles published in English between 2000 and 2020 reporting the prevalence of POAG as well as PACG among various ethnic populations. A study was included if it was (1) population-based (2) had published prevalence and blindness rates for both PACG and POAG in the same cohort. (3) Glaucoma was defined as per the International Society for Geographical and Epidemiological Ophthalmology (ISGEO) criteria. The proportion of blindness for both POAG and PACG for each study and the cumulative proportion taking all the studies were calculated.ResultsWe included 23 studies with 78,434 participants. POAG was diagnosed in 1702 persons with 151 (8.9%) blind. There were 724 cases of PACG with 196 (27.0%) blind. The risk ratio of blindness in PACG to POAG varied from 0.73 to 10.6 among the studies. The cumulative risk ratio was 2.39 (95% confidence interval (CI); 1.99, 2.87). Risk ratios for studies including visual field restriction while defining blindness were similar to studies that did not (1.92 vs 2.64, P = 0.11). Risk ratios were also similar for studies that used greater than 2 instead of 3 or more quadrants of iridotrabecular contact to define angle closure (2.79 vs 2.25).ConclusionPrimary angle-closure disease is more likely to be associated with blindness.
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