| Literature DB >> 31850260 |
Elham Taghavi1, Ramin Daneshvar2,3, Zahra Noormohammadi1, Seyed Mohammad-Hossein Modarresi4, Mohammad Reza Sedaghat2.
Abstract
BACKGROUND: Pseudoexfoliation syndrome (XFS) is pathogenetically related to exfoliative glaucoma (XFG), which is the most common type of secondary glaucoma. We aimed to investigate the relationship between LOXL1 SNPs (rs1048661, rs3825942) and XFS and/or XFG in a cohort of Iranian subjects.Entities:
Keywords: Glaucoma; LOXL1 mRNA expression; Pseudoexfoliation syndrome; Variants
Year: 2019 PMID: 31850260 PMCID: PMC6908905
Source DB: PubMed Journal: Iran J Public Health ISSN: 2251-6085 Impact factor: 1.429
Characteristics of the primers used in this study to investigate LOXL1 mutations in exfoliative glaucoma patients
| Seq-Analysis | Forward | 5′ CTTGCTCAACTCGGGCTCAGA3′ | 120 | ||
| Reverse | 5′ TCGTAGTTCTCG-TACTGGCTGAC3′ | ||||
| Real-time PCR | Forward | 5′ CTGTGCTGCGAAGAAGAAGTG 3′ | 137 | ||
| Reverse | 5′ AAGTCTGCTGTGCCCTGGTTC 3′ | ||||
| GAPDH | Real-time PCR | Forward | 5′ GAGTCCACTGGCGTCTTCAC3′ | 164 | |
| Reverse | 5′ GAGGCATTGCTGATGATCTT-GAG3′ |
Clinical data in case and control group
| Age(yr) | 71.93 | 2.057 | 67.00 | 2.342 | 0.469 |
| Left eye CDR | 0.6800 | 0.26241 | 0.4200 | 0.13732 | 0.070 |
| Right eye CDR | 0.6800 | 0.18205 | 0.4200 | 0.14243 | 0.265 |
| Left eye IOP | 21.4000 | 8.11348 | 12.2000 | 2.30527 | 0.019 |
| Right eye IOP | 18.6667 | 5.05211 | 11.6667 | 3.22195 | 0.032 |
Significant at the 0.05 level
Genotype and allele frequencies for rs3825942 and rs1048661 in patients with exfoliation syndrome and control subjects
| rs1048661 | |||||
| T | 16 | 12 | |||
| G | 64 | 108 | 2.250 | (1.0011–5.0569) | 0.0497 |
| Genotype | |||||
| G/T | 16 | 12 | |||
| G/G | 24 | 48 | 2.6667 | (1.0900–6.5237) | 0.0316 |
| rs3825942 | |||||
| A | 22 | 0 | |||
| G | 58 | 120 | 92.6923 | (5.5259–1554.8332) | 0.0016 |
| Genotype | |||||
| A/A | 1 | 0 | |||
| G/A | 20 | 0 | |||
| G/G | 19 | 60 | 133.41 | (7.7172–2306.3195) | 0.0008 |
Significant at the 0.05 level
SNPs data in case and control group
| rs1048661 | ||||
| Age (yr) | GG | 68.73 | 0.969 | 0.486 |
| GT | 70.18 | 1.864 | ||
| CDR Left | GG | 0.6059 | 0.02496 | 0.333 |
| GT | 0.5545 | 0.04686 | ||
| CDR Right | GG | 0.556 | 0.0240 | 0.829 |
| GT | 0.545 | 0.0430 | ||
| IOP Left | GG | 18.4211 | 0.76348 | 0.766 |
| GT | 17.9545 | 1.20511 | ||
| IOP Right | GG | 16.54 | 0.673 | 0.471 |
| GT | 15.50 | 1.272 | ||
| rs3825942 | ||||
| Age (yr) | GG | 69.53 | 0.945 | 0.278 |
| GA | 67.24 | 2.008 | ||
| CDR Left | GG | 0.6383 | 0.02421 | 0.000 |
| GA | 0.4333 | 0.03404 | ||
| CDR Right | GG | 0.587 | 0.0236 | 0.002 |
| GA | 0.429 | 0.0339 | ||
| IOP Left | GG | 19.8701 | 0.71655 | 0.000 |
| GA | 12.6190 | 0.54544 | ||
| IOP Right | GG | 17.35 | 0.677 | 0.000 |
| GA | 12.38 | 0.782 | ||
Significant at the 0.05 level ///
Significant at the 0.01 level
Haplotype frequencies estimation (n=100)
| G | G | 0.7952 | 0.9 | 0.6494 | 0.7952 | |
| G | A | 0.0948 | 0 | 0.2256 | 0.89 | |
| T | G | 0.0948 | 0.1 | 0.0756 | 0.9848 | |
| T | A | 0.0152 | 0 | 0.0494 | 1.00 |
Haplotype association with response (n=100, crude analysis)
| 1 | G | G | 0.7952 | 4.8589 | >0.0001 |
| 2 | G | A | 0.0948 | 0.2 | 0.27 |
| 3 | T | G | 0.0948 | 1.2 | 0.84 |
Significant at the 0.05 level
Fig. 1:Total RNA quality assessment on the basis of 18S and 28S rRNA. Lane # 1 shows DNA ladder (1kb). The Gel Red staining pattern of intact total RNA shows clearly defined 18S and 28S ribosomal RNA bands
Fig. 2:Amplification curve of LOXL1 gene expression. The amplification curve of LOXL1 are consistent and Different colors showed different samples. Negative control has not produced amplification curve
Fig. 3:Amplification curve of GAPDH gene expression. The amplification curve of GAPDH are consistent and Different colors showed different samples. Negative control has not produced amplification curve
Fig. 4:Melting curve analysis of LOXL1 gene expression. The consistent of case and control curves indicated that specificity of the Real-Time PCR reaction
Fig. 5:Melting curve analysis of GAPDH gene expression. The consistent of case and control curves indicated that specificity of the Real-Time PCR reaction