METHODS: A cross-sectional study was conducted among PLWH who developed cADRs presenting to our dermatology clinic from June 2020 to December 2020. The Naranjo scale was used for drug causality assessment.
RESULTS: A total of 78 PLWH were recruited with a male-to-female ratio of 12:1. The maculopapular eruption was the commonest type of cADRs (75.6%), followed by drug reaction with eosinophilia and systemic symptoms (DRESS) (15.4%). SCAR is defined as a potentially life-threatening, immunologically mediated, drug-induced disease, accounting for 17.9% of the cases. Most of the patients were on antiretroviral therapy (ART) (85.9%), with efavirenz + tenofovir/emtricitabine being the most common combination (80.6%). Efavirenz (51.3%) was the main culprit drug implicated, followed by trimethoprim/sulfamethoxazole (23.1%) and nevirapine (11.5%). CD4 T-cell count <100 cells/μL (p = 0.006) was the independent risk factor for SCAR. Most cases had probable causal relationships with the culprit drugs (84.6%) and were not preventable (93.6%).
CONCLUSIONS: The commonest cADR seen in PLWH was maculopapular eruption, while efavirenz, trimethoprim/sulfamethoxazole, and nevirapine were the three main implicated drugs. Most of the cases had probable drug causality and were not preventable. PLWH with CD4 count <100 cells/μL were particularly at risk of developing SCAR. Overall, this study showed that immune suppression and polypharmacy as a consequence of opportunistic infection prophylaxis are important factors contributing to the increased risk of ADRs among PLWH.
METHODS: Pkdhps were amplified and sequenced from 28 P. knowlesi samples collected in 2008 and 2020 from nine provinces across Thailand. Combining pkdhfr sequencing data from previous work with pkdhps data to analyze polymorphisms of pkdhfr and pkdhps haplotype. Protein modeling and molecular docking were constructed using two inhibitors, sulfadoxine and sulfamethoxazole, and further details were obtained through analyses of protein-ligand interactions by using the Genetic Optimisation for Ligand Docking program. A phylogenetic tree cluster analysis was reconstructed to compare the P. knowlesi Malaysia isolates.
RESULTS: Five nonsynonymous mutations in the pkdhps were detected outside the equivalence of the binding pocket sites to sulfadoxine and sulfamethoxazole, which are at N391S, E421G, I425R, A449S, and N517S. Based on the modeling and molecular docking analyses, the N391S and N517S mutations located close to the enzyme-binding pocket demonstrated a different docking score and protein-ligand interaction in loop 2 of the enzyme. These findings indicated that it was less likely to induce drug resistance. Of the four haplotypes of pkdhfr-pkdhps, the most common one is the R34L pkdhfr mutation and the pkdhps quadruple mutation (GRSS) at E421G, I425R, A449S, and N517S, which were observed in P. knowlesi in southern Thailand (53.57%). Based on the results of neighbor-joining analysis for pkdhfr and pkdhps, the samples isolated from eastern Thailand displayed a close relationship with Cambodia isolates, while southern Thailand isolates showed a long branch separated from the Malaysian isolates.
CONCLUSIONS: A new PCR protocol amplification and evaluation of dihydropteroate synthase mutations in Knowlesi (pkdhps) has been developed. The most prevalent pkdhfr-pkdhps haplotypes (53.57%) in southern Thailand are R34L pkdhfr mutation and pkdhps quadruple mutation. Further investigation requires additional phenotypic data from clinical isolates, transgenic lines expressing mutant alleles, or recombinant proteins.