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.
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.
OBJECTIVE: To compare the metabolite profile of Chrysanthemum morifolium flower fraction with that of its detannified fraction in relation to XO inhibitory activity using a rapid and effective metabolomics approach.
METHODS: Proton nuclear magnetic resonance (1 H-NMR)-based metabolomics approach coupled with multivariate data analysis was utilised to characterise the XO inhibitors related to the antioxidant properties, total phenolic, and total flavonoid contents of the C. morifolium dried flowers.
RESULTS: The highest XO inhibitory activity, 1,1-diphenyl-2-picryl hydrazyl (DPPH) radical scavenging activity, total phenolic and flavonoid content with strong positive correlation between them were observed in the ethyl acetate (EtOAc) fraction. Detannified EtOAc showed higher XO inhibitory activity than non-detannified EtOAc fraction. A total of 17 metabolites were tentatively identified, of which three namely kaempferol, 4-hydroxybenzoic acid and apigenin, could be suggested to be responsible for the strong XO inhibitory activity. Additive interaction between 4-hydroxybenzoic acid and apigenin (or kaempferol) in XO inhibition was demonstrated in the interaction assay conducted.
CONCLUSION: Chrysanthemum morifolium dried flower-part could be further explored as a natural XO inhibitor for its anti-hyperuricemic potential. Metabolomics approach served as an effective classification of plant metabolites responsible for XO inhibitory activity, and demonstrated that multiple active compounds can work additively in giving combined inhibitory effects.