Associations Between microRNA-related Genetic Polymorphisms and Clinical Response to Methotrexate in Chinese Rheumatoid Arthritis Patients.

BACKGROUND: Emerging evidence indicates that microRNA (miRNA)-related genetic polymorphisms are strongly involved in the post-transcriptional regulation of the expression of pharmacokinetics and pharmacodynamics- related genes, therefore contributing to the genetic variability of drug response. OBJECTIVE: To investigate the associations of miRNA-related genetic polymorphisms, including miRNA-5189 rs562929801, miRNA-595 rs4909237, SLCO1A2 rs4149009 and MTHFR rs3737966, and clinical response to methotrexate in Chinese rheumatoid arthritis patients. METHODS: One hundred patients treated with MTX for approximately 3 months were prospectively followed up to evaluate the clinical response according to European League Against Rheumatism (EULAR) good and moderate response, disease activity score in 28 joint counts - erythrocyte sedimentation rate (DAS28-ESR) low disease activity (LDA) and remission (REM), change in DAS28-ESR (ΔDAS28-ESR) and ΔDAS28-ESR > 0.6. Genetic polymorphisms were genotyped utilizing the HI-SNP technology. RESULTS: Of the 100 patients with a mean age of 52.23 ± 12.71 years, 81 patients were female (81.00%). After adjusting potential confounders, the major allele of miRNA-5189 rs562929801 was found to be significantly associated with EULAR response (A/A + A/G versus G/G, RR = 0.81, 95% CI = 0.67-0.99, P = 0.04) and ΔDAS28-ESR > 0.6 under dominant model (A/A + A/G versus G/G, RR = 0.83, 95% CI = 0.71-0.98, P = 0.03). However, nonsignificant evidence was detected for the remaining three miRNA-related genetic polymorphisms in neither univariable analysis nor multivariable analysis. CONCLUSION: Our results indicated that miRNA-5189 rs562929801 was significantly associated with clinical response to MTX, and this association warrants further replication studies with larger sample sizes.

Associations Between Genetic Polymorphisms Within Transporter Genes and Clinical Response to Methotrexate in Chinese Rheumatoid Arthritis Patients: A Pilot Study.

Purpose: To investigate the associations between genetic polymorphisms within transporter genes and clinical response to methotrexate (MTX) in Chinese rheumatoid arthritis (RA) patients. Patients and Methods: A total of 100 RA patients receiving MTX were prospectively followed up for approximately 3 months to determine the clinical response based on several criteria, including European League Against Rheumatism (EULAR) good and moderate response, disease activity score in 28 joint counts - erythrocyte sedimentation rate (DAS28-ESR) low disease activity (LDA), change in DAS28-ESR (ΔDAS28-ESR) and ΔDAS28-ESR >0.6. Fifty-four single nucleotide polymorphisms (SNPs) within seven transporter genes, including SLC19A1, ABCB1, ABCC1~4 and ABCG2, were genotyped. Results: Multivariable analysis revealed that SLC19A1 rs12659 and rs3788200, ABCC2 rs3740066, rs4148396 and rs717620 were significantly associated with EULAR good and moderate response, and ABCC2 rs3740066 and rs717620 were significantly associated with DAS28-ESR LDA, and ABCB1 rs1128503, rs4148737 and ABCC3 rs2277624, rs4148416 were significantly associated with ΔDAS28-ESR. Moreover, 12 genetic polymorphisms were found to be significantly associated with ΔDAS28-ESR >0.6. With adjustment for corresponding confounders, SLC19A1 TGAA haplotype consisting of rs1051266, rs1131596, rs12659 and rs3788200 was significantly associated with EULAR good and moderate response and ΔDAS28-ESR >0.6 compared with the most common haplotype CAGG. The ABCC2 haplotype TTT composed of rs717620, rs4148396 and rs3740066 was significantly associated with EULAR good and moderate response and ΔDAS28-ESR >0.6 compared with the most common haplotype CCC. Conclusion: Our results highlight the potential of genetic polymorphisms within transporter genes, particularly SLC19A1 and ABCC2, as predictors of clinical response to MTX in Chinese RA patients.

Assessment of genetic polymorphisms within nuclear factor-κB signaling pathway genes in rheumatoid arthritis: Evidence for replication and genetic interaction.

OBJECTIVE: This study was performed to replicate the associations of genetic polymorphisms within nuclear factor-κB (NF-κB) signaling pathway genes with rheumatoid arthritis (RA), and to further examine genetic interactions in a Chinese population. METHODS: A total of eleven single-nucleotide polymorphisms (SNPs) were genotyped in 594 RA patients and 604 healthy controls. RESULTS: Genetic association analysis revealed that NFKBIE rs2233434, TNIP1 rs10036748 and BLK rs13277113 were significantly associated with RA, cyclic citrullinated peptide (CCP)-positive RA and rheumatoid factor (RF)-positive RA, and TNFAIP3 rs2230926 was significantly associated with CCP-positive RA. Significant additive interaction was observed between NFKB1 rs28362491 and IKBKE rs12142086 (RERI = 0.76, 95% CI 0.13-1.38; AP = 0.57, 95% CI 0.11-1.03), NFKBIE rs2233434 and BLK rs13277113 (RERI = 1.41, 95% CI 0.88-1.94; AP = 0.85, 95% CI 0.50-1.20), NFKBIL rs2071592 and TNIP1 rs10036748 (RERI = 0.59, 95% CI 0.17-1.02; AP = 0.46, 95% CI 0.05-0.87), UBE2L3 rs5754217 and TNFSF4 rs2205960 (RERI = 0.50, 95% CI 0.16-0.84; AP = 0.57, 95% CI 0.09-1.05). Significant multiplicative interaction was detected between BLK rs13277113 and UBE2L3 rs5754217 (p = 0.02), BLK rs13277113 and TNFSF4 rs2205960 (p = 0.03). CONCLUSIONS: Our results lent further support to the role of NF-κB signaling pathway in the pathogenesis of RA from a genetic perspective.

Genetic association analysis of ATG16L1 rs2241880, rs6758317 and ATG16L2 rs11235604 polymorphisms with rheumatoid arthritis in a Chinese population.

OBJECTIVE: This study was performed to test whether ATG16L1 rs2241880, rs6758317 and ATG16L2 rs11235604 polymorphisms were associated with RA and further examine the genetic interaction between ATG16L1 and ATG16L2 in RA among a Chinese population. METHODS: A total of 594 RA patients and 604 healthy controls were included, and the genetic polymorphisms were genotyped based on HI-SNP technology. RESULTS: Significant associations of ATG16L1 rs2241880 polymorphism with RA (T/T versus C/T + C/C, OR = 1.32, 95% CI 1.04-1.67, P = 0.02), cyclic citrullinated peptide (CCP)-positive RA (genotype comparison, P = 5.38 × 10-3; T/T versus C/T + C/C, OR = 1.45, 95% CI 1.12-1.87, P = 4.86 × 10-3) and rheumatoid factor (RF)-positive RA (genotype comparison, P = 0.03; T versus C, OR = 1.23, 95% CI 1.01-1.49, P = 0.04; T/T versus C/T + C/C, OR = 1.44, 95% CI 1.10-1.88, P = 7.62 × 10-3) were found. Significant genetic interaction between ATG16L1 rs2241880 and ATG16L2 rs11235604 was associated RA (P = 0.03), and significant genetic interaction between ATG16L1 rs6758317 and ATG16L2 rs11235604 was associated with RA (P = 7.57 × 10-3), CCP-positive RA (P = 0.01) and RF-positive RA (P = 0.01). Consistently, stratification analysis found that significant associations of RA with ATG16L1 rs2241880, rs6758317 polymorphisms were only detected among individuals carrying C/T genotype of the ATG16L2 rs11235604 polymorphism. CONCLUSIONS: Our results indicated that ATG16L1 rs2241880 polymorphism was associated with RA in Chinese population, and provided evidence for genetic interaction between ATG16L1 and ATG16L2 in determing the development of RA, highlighting the involvement of autophagy in the pathogenesis of RA.

Associations of genetic polymorphisms within MALAT1, UCA1, FAM211A-AS1 and AC000111.6 with genetic susceptibility to rheumatoid arthritis.

Recently, several long non-coding RNAs (lncRNAs) including MALAT1, UCA1, ENST00000483588, and ENST00000456270 have been implicated in the pathogenesis of rheumatoid arthritis (RA), and we hypothesized that polymorphisms within these lncRNA genes might be genetic modifiers for the development of RA. A total of 10 potentially functional single-nucleotide polymorphisms (SNPs) were selected and genotyped in 1198 participants, including 594 RA patients and 604 healthy controls. Significant associations of FAM211A-AS1 rs2882581 (G vs. A, OR = 1.31, 95%CI 1.07-1.62, p = .01; G/G + A/G vs. A/A, OR = 1.40, 95%CI 1.08-1.83, p = .01), rs3744281 (T vs. A, OR = 1.25, 95%CI 1.02-1.54, p = .03; T/T vs. A/T + A/A, OR = 1.69, 95%CI 1.01-2.82, p = 4.59 × 10-2), and rs3760235 (A vs. G, OR = 1.32, 95%CI 1.04-1.68, p = .02; A/A vs. A/G + G/G, OR = 1.32, 95%CI 1.00-1.74, p = 4.89 × 10-2) with RF-positive RA were found. Functional annotation results indicated that these identified polymorphisms might regulate the expression of FAM211A-AS1 and nearby genes via impacting on transcription factor binding. Taken together, our results indicated that FAM211A-AS1 rs2882581, rs3744281, and rs3760235 were involved in the genetic background of RF-positive RA.