METHODOLOGY: A total of 89 patients with gouty arthritis and 100 normal subjects who consented and were recruited in this study. The serum urate and creatinine were measured. The SNP genotyping was performed using PCR-RFLP method for rs3733591 and BST 1236 was used as a restriction enzyme to cut the targeted amplicons.
RESULT: SLC2A9 variant was associated with gout, p-value of 0.007, OR=4.713 [95%CI 1.530-14.513], however this association was not significant after adjustment for age and gender with p=0.465 (OR=1.950; 95%CI[0.325-11.718]).
CONCLUSION: Our data suggest that the genetic variant of SLC2A9 may contribute to the susceptibility of gout among Malays in Malaysia.
Methods: In this cross-sectional study with retrospective record review, 403 established gouty arthritis patients were recruited to determine the incidence of UGIB and associated factors among gout patients who were on regular nonsteroidal anti-inflammatory drugs (NSAIDs).
Results: The mean age of the 403 gouty arthritis patients was 55.7 years old and the majority (n = 359/403; 89.1%) were male. The incidence of UGIB among gouty arthritis patients who were on NSAIDs was 7.2% (n = 29/403). Older age (p < 0.001), diclofenac medication (p = 0.003), pantoprazole medication (p = 0.003), end-stage renal failure (ESRF) (p = 0.007), smoking (p = 0.035), hypertension (p = 0.042) and creatinine (p = 0.045) were significant risk factors for UGIB among the gouty arthritis patients in univariable analysis. Older age (p = 0.001) and diclofenac medication (p < 0.001) remained significant risk factors for UGIB among the gouty arthritis patients in multivariable analysis.
Conclusions: Age and diclofenac were significantly associated with UGIB among patients with gouty arthritis on regular NSAIDs, indicating that these factors increased the risks of developing UGIB in gout patients. Hence, these high-risk groups of gouty arthritis patients should be routinely monitored to avoid the potential onset of UGIB. Our data also suggest that diclofenac should be prescribed for the shortest duration possible to minimize the risk of developing UGIB in gout patients.
METHODS AND MATERIALS: Hyperuricemia model was performed in male Swiss Webster mice. Intraperitoneally injection of uric acid (125mg/kg body weight) was done for 7 and 14 days (UA7 and UA14 groups). Meanwhile, the UAL groups were injected with uric acid and followed by the administration of allopurinol (UAL7 and UAL14 groups). On the due date, mice were sacrificed, and liver was harvested. Uric acid, SGOT, SGPT, and albumin level were measured from the serum. The mRNA expression of TLR4, MCP1, CD68, and collagen1 were assessed through RT-PCR. Liver fibrosis was quantified through Sirius red staining, while the number of hepatic stellates cells (HSCs) and TLR4 were assessed through IHC staining.
RESULTS: Uric acid induction for 7 and 14 days stimulated an increase of both SGOT and SGPT serum levels. Followed by enhanced inflammatory mediators: Toll-like receptor-4 (TLR- 4), Monocyte Chemoattractant Protein-1 (MCP-1) and Cluster of Differentiation 68 (CD68) mRNA expression in the liver (p<0.05). The histological findings showed that the UA7 and UA14 groups had higher liver fibrosis scores (p<0.05), collagen I mRNA expression (p<0.05), and the number of HSCs (p<0.05) compared to Control group. Administration of allopurinol showed amelioration of uric acid and liver enzymes levels which followed by inflammatory mediators, liver fibrosis and collagen1, and hepatic stellate cells significantly.
CONCLUSION: Therefore, uric acid augmented the liver fibrosis by increasing the number of hepatic stellate cells.