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Neto M, Mendes B, Albuquerque F, da Silva JAP. Novel biomarkers in RA: Implication for diagnosis, prognosis, and personalised treatment. Best Pract Res Clin Rheumatol 2025; 39:102021. [PMID: 39550250 DOI: 10.1016/j.berh.2024.102021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Accepted: 10/30/2024] [Indexed: 11/18/2024]
Abstract
Over the past decades our understanding of rheumatoid arthritis (RA) pathogenesis has improved remarkably and major breakthroughs in the treatment of RA were made with the advent of numerous targeted therapies and new treatment strategies. Despite these advances, several unmet needs remain, namely in achieving earlier and more accurate diagnosis, monitoring disease activity, predicting disease prognosis and optimizing treatment. To address these gaps, recent research has focused on identifying biomarkers that may enhance diagnostic precision, predict disease prognosis, and optimize treatment strategies. In this narrative review we will describe recent developments in RA biomarkers with demonstrated or promising clinical relevance.
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Affiliation(s)
- Marcelo Neto
- Rheumatology Department, Unidade Local de Saúde de Coimbra, Portugal.
| | - Beatriz Mendes
- Rheumatology Department, Unidade Local de Saúde de Coimbra, Portugal.
| | | | - José António P da Silva
- Rheumatology Department, Unidade Local de Saúde de Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Faculty of Medicine, University of Coimbra, Portugal.
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Biswas M, Jinda P, Sukasem C. Pharmacogenomics in Asians: Differences and similarities with other human populations. Expert Opin Drug Metab Toxicol 2023; 19:27-41. [PMID: 36755439 DOI: 10.1080/17425255.2023.2178895] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Various pharmacogenomic (PGx) variants differ widely in different ethnicities. and clinical outcomes associated with these variants may also be substantially varied. Literature was searched in different databases, i.e. PubMed, ScienceDirect, Web of Science, and PharmGKB, from inception to 30 June 2022 for this review. AREAS COVERED Certain PGx variants were distinctly varied in Asian populations compared to the other human populations, e.g. CYP2C19*2,*3,*17; CYP2C9*2,*3; CYP2D6*4,*5,*10,*41; UGT1A1*6,*28; HLA-B*15:02, HLA-B*15:21, HLA-B*58:01, and HLA-A*31:01. However, certain other variants do not vary greatly between Asian and other ethnicities, e.g. CYP3A5*3; ABCB1, and SLCO1B1*5. As evident in this review, the risk of major adverse cardiovascular events (MACE) was much stronger in Asian patients taking clopidogrel and who inherited the CYP2C19 loss-of-function alleles, e.g. CYP2C19*2 and*3, when compared to the western/Caucasian patients. Additionally, the risk of carbamazepine-induced severe cutaneous adverse drug reactions (SCARs) for the patients inheriting HLA-B*15:02 and HLA-B*15:21 alleles varied significantly between Asian and other ethnicities. In contrast, both Caucasian and Asian patients inheriting the SLCO1B1*5 variant possessed a similar magnitude of muscle toxicity, i.e. myopathy. EXPERT OPINION Asian countries should take measures toward expanding PGx research, as well as initiatives for the purposes of obtaining clinical benefits from this newly evolving and economically viable treatment model.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, 6205, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Pimonpan Jinda
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 3GL, Liverpool, UK
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Cui J, Chasman DI, Raychaudhuri S, Xu C, Ridker PM, Solomon DH, Karlson EW. Genetics are not likely to offer clinically useful predictions for elevated liver enzyme levels in patients using low dose methotrexate. Semin Arthritis Rheum 2022; 55:152036. [PMID: 35671649 PMCID: PMC10782828 DOI: 10.1016/j.semarthrit.2022.152036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To examine genetic influence on the risk of elevations in liver function tests (AST and ALT) among patients using low-dose methotrexate (LD-MTX). METHODS We examined data from the LD-MTX arm of a randomized double-blind placebo-controlled trial conducted among subjects without rheumatic disease. Genome wide association studies (GWAS) were performed in subjects of European ancestry to test the association between single nucleotide polymorphisms (SNPs) and the log transformed maximum values of AST, ALT, and dichotomized outcome with AST or ALT > 2 times upper limit of normal (ULN). The association between variants in MTX metabolism candidate genes and the outcomes was also tested. Furthermore, associations between a drug induced liver injury (DILI) weighted genetic risk score (wGRS) and the outcomes were tested, combining 10 SNPs and 11 classical HLA alleles associated with DILI. RESULTS In genome-wide genetic analyses among 1,429 subjects of European ancestry who were randomized to receive LD-MTX, two SNPs reached genome wide significance for association with log transformed maximum ALT. We observed associations between established candidate genes in MTX pharmacogenetics and log transformed maximum AST and ALT, as well as in dichotomized outcome with AST or ALT > 2 x ULN. There was no association between DILI wGRS or candidate variants and AST, ALT, or DILI response. CONCLUSIONS Modest evidence was observed that common variants affected AST and ALT levels in subjects of European ancestry on LD-MTX, but this genetic effect is not useful as a clinical predictor of MTX toxicity.
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Affiliation(s)
- Jing Cui
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital USA.
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA USA
| | - Chang Xu
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital USA
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital USA
| | - Daniel H Solomon
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital USA
| | - Elizabeth W Karlson
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital USA
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Hyaluronic Acid-Coated MTX-PEI Nanoparticles for Targeted Rheumatoid Arthritis Therapy. CRYSTALS 2021. [DOI: 10.3390/cryst11040321] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Methotrexate (MTX) is an anchor drug for the treatment of rheumatoid arthritis (RA); however, long-term and high-dose usage of MTX for patients can cause many side effects and toxic reactions. To address these difficulties, selectively delivering MTX to the inflammatory site of a joint is promising in the treatment of RA. In this study, we prepared MTX-PEI@HA nanoparticles (NPs), composed of hyaluronic acid (HA) as the hydrophilic negative electrical shell, and MTX-linked branched polyethyleneimine (MTX-PEI) NPs as the core. MTX-PEI@HA NPs were prepared in the water phase by a one-pot method. The polymeric NPs were selectively internalized via CD44 receptor-mediated endocytosis in the activated macrophages. In the in vivo mice mode study, treatment with MTX-PEI@HA NPs mitigated inflammatory arthritis with notable safety at a high dose of MTX. We highlight the distinct advantages of aqueous-synthesized NPs coated with HA for arthritis-selective targeted delivery, thus verifying MTX-PEI@HA NPs as a promising MTX-based nanoplatform for treatment of RA.
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Srisuttayasathien M, Areepium N, Lertkhachonsuk R. ABCB1 and SLCO1B1 gene polymorphisms predict methotrexate-resistant for low-risk gestational trophoblastic neoplasia. Per Med 2021; 18:107-114. [PMID: 33565324 DOI: 10.2217/pme-2020-0089] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: The aim of this study was to explore the effects of ABCB1 and SLCO1B1 gene polymorphisms and the methotrexate (MTX) treatment response in patients with low-risk gestational trophoblastic neoplasia (GTN). Materials & methods: Low-risk GTN patients who received MTX as a first-line single agent were enrolled. DNA was extracted from peripheral blood samples from 18 patients and assessed for ABCB1 C3435T and SLCO1B1 T521C. Results: ABCB1 C3435T and SLCO1B1 T521C polymorphisms were not associated with the MTX response or toxicity in Thai patients Conclusion: The selected ABCB1 and SLCO1B1 polymorphism do not predict the risk of MTX resistance in low-risk GTN.
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Affiliation(s)
- Manasawee Srisuttayasathien
- Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, Faculty of Medicine, Chulalongkorn University & King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand
| | - Nutthada Areepium
- Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University, Bangkok 10330, Thailand
| | - Ruangsak Lertkhachonsuk
- Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, Faculty of Medicine, Chulalongkorn University & King Chulalongkorn Memorial Hospital, Bangkok 10330, Thailand
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Biomarkers to Personalize the Treatment of Rheumatoid Arthritis: Focus on Autoantibodies and Pharmacogenetics. Biomolecules 2020; 10:biom10121672. [PMID: 33327600 PMCID: PMC7765045 DOI: 10.3390/biom10121672] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Revised: 12/08/2020] [Accepted: 12/12/2020] [Indexed: 12/19/2022] Open
Abstract
Rheumatoid arthritis (RA) is a chronic inflammatory disease that is very complex and heterogeneous. If not adequately treated, RA patients are likely to manifest excess of morbidity and disability with an important impact on the quality of life. Pharmacological treatment is based on the administration of the disease-modifying antirheumatic drugs (DMARDs), subdivided into conventional synthetic (csDMARDs), targeted synthetic (tsDMARDs), and biological (bDMARDs). bDMARDs are now frequently administered in patients, both as alternative treatment and together with csDMARDs. Unfortunately, there is a therapeutic response variability both to old and new drugs. Therefore, to identify pre-therapeutic and on-treatment predictors of response is a priority. This review aims to summarize recent advances in understanding the causes of the variability in treatment response in RA, with particular attention to predictive potential of autoantibodies and DMARD pharmacogenetics. In recent years, several biomarkers have been proposed to personalize the therapy. Unfortunately, a magic bullet does not exist, as many factors concur to disease susceptibility and treatment outcomes, acting around the patient’s congenital background. Models integrating demographic, clinical, biochemical, and genetic data are needed to enhance the predictive capacity of specific factors singularly considered to optimize RA treatment in light of multidisciplinary patient management.
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Szostak B, Machaj F, Rosik J, Pawlik A. Using pharmacogenetics to predict methotrexate response in rheumatoid arthritis patients. Expert Opin Drug Metab Toxicol 2020; 16:617-626. [DOI: 10.1080/17425255.2020.1777279] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Bartosz Szostak
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Filip Machaj
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Jakub Rosik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
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Huang J, Fan H, Qiu Q, Liu K, Lv S, Li J, Yang H, Shu X, Xu Y, Lu X, Lu C, Zhang Y, Xiao C. Are gene polymorphisms related to adverse events of methotrexate in patients with rheumatoid arthritis? A retrospective cohort study based on an updated meta-analysis. Ther Adv Chronic Dis 2020; 11:2040622320916026. [PMID: 32426102 PMCID: PMC7222241 DOI: 10.1177/2040622320916026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2019] [Accepted: 02/27/2020] [Indexed: 12/29/2022] Open
Abstract
Aims: We performed an updated meta-analysis to verify correlations between gene polymorphisms and adverse events in methotrexate (MTX)-treated rheumatoid arthritis (RA) patients. Then, we conducted a retrospective cohort study of Han Chinese in China. Methods: Relevant studies were collected from the PubMed database and the EMBASE database until December 2017. Pre-allele, dominant, recessive, codominant, and homozygotic models were applied. In addition, a retrospective cohort study enrolling 162 RA patients treated with MTX was conducted. Single nucleotide polymorphism (SNP) genotyping was analyzed by PCR and product sequencing. Results: A total of 39 studies were included in 20 meta-analyses; meta-analysis showed a significant association between MTX-related toxicity and 5,10-methylenetetrahydrofolate reductase (MTHFR) 677C>T(rs1801133) polymorphism in East Asian RA patients, and significant associations were observed between MTX-related toxicity and 5-aminoimidazole-4-carboxamide ribonucleotide formyltransferase/IMP cyclohydrolase (ATIC) 347C>G (rs2372536), reduced folate carrier 1 (RFC-1) 80G>A (rs1051266), and adenosine triphosphate-binding cassette B1 (ABCB1) 3435C>T(rs1045642) polymorphisms in European RA patients but not in East Asian RA patients. Moreover, in our retrospective cohort study, ATIC 347C>G(rs2372536) and ABCB1 3435C>T(rs1045642) polymorphisms were not associated with MTX-related toxicity. However, a significant association was observed between MTX-related toxicity and RFC-1 80G>A (rs1051266) polymorphism in Chinese Han RA patients. Conclusion: Evidence-based results suggest that the MTHFR 677C>T(rs1801133), ATIC 347C>G(rs2372536), RFC-1 80G>A (rs1051266), ABCB1 3435C>T(rs1045642) polymorphisms are associated with MTX-related toxicity. Larger and more stringent study designs may provide more accurate findings for the effects of these SNPs on MTX-related toxicity, and larger sample-size studies of the Chinese Han population should be conducted for further validation.
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Affiliation(s)
- Jing Huang
- Department of Emergency, China-Japan Friendship Hospital, Beijing, China
| | - Huizhen Fan
- Department of Gastroenterology, People's Hospital of Yichun, Jiangxi Yichun, China
| | - Qi Qiu
- Institute of Clinical Pharmacology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China
| | - Kunpeng Liu
- Department of Anesthesiology, Peking University International Hospital, Beijing, China
| | - Shuang Lv
- Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Jiang Li
- Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Hui Yang
- Department of Laboratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Xiaoming Shu
- Department of Rheumatology, China-Japan Friendship Hospital, Beijing, China
| | - Yuan Xu
- Department of TCM Rheumatology, China-Japan Friendship Hospital, Beijing, China
| | - Xiangchen Lu
- Institute of Clinical Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Cheng Lu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yunnan Zhang
- Institute of Clinical Pharmacology, Beijing An Zhen Hospital, Capital Medical University, Beijing, China
| | - Cheng Xiao
- Department of Emergency, China-Japan Friendship Hospital, Beijing, China
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Jekic B, Maksimovic N, Damnjanovic T. Methotrexate pharmacogenetics in the treatment of rheumatoid arthritis. Pharmacogenomics 2019; 20:1235-1245. [DOI: 10.2217/pgs-2019-0121] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
For many decades, methotrexate (MXT) has remained the drug of choice in the treatment of rheumatoid arthritis (RA). Unfortunately, a considerable number of patients do not achieve an appropriate therapeutic response. Pharmacogenetics studies do not give usable results regarding differences in MTX response among RA patients. The mechanism of MTX action in RA is not completely understood. We present and discuss data regarding the molecular basis of folate and adenosine pathways, the most obvious MTX targets, to explain possible causes of therapy failure. The molecular basis of the disease could also have an impact on therapy outcomes and in this review we explore this. Finally, we make a short review of available pharmacogenetics study results.
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Affiliation(s)
- Biljana Jekic
- Institute of Human Genetics, Faculty of Medicine, University of Belgrade,11000 Belgrade, Serbia
| | - Nela Maksimovic
- Institute of Human Genetics, Faculty of Medicine, University of Belgrade,11000 Belgrade, Serbia
| | - Tatjana Damnjanovic
- Institute of Human Genetics, Faculty of Medicine, University of Belgrade,11000 Belgrade, Serbia
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He X, Sun M, Liang S, Li M, Li L, Yang Y. Association between ABCB1 C3435T polymorphism and methotrexate treatment outcomes in rheumatoid arthritis patients: a meta-analysis. Pharmacogenomics 2019; 20:381-392. [PMID: 30983549 DOI: 10.2217/pgs-2018-0172] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Aim: This study was conducted to investigate the relationship between ABCB1 gene C3435T polymorphism and methotrexate treatment outcomes in rheumatoid arthritis patients. Methods: Seven electronic databases (PubMed, EMBASE, Web of Science, Cochrane, OVID, Chinese biomedical literature [CBM], China National Knowledge Infrastructure [CNKI] and Wanfang databases) were searched to select eligible publications until 18 July 2018. The references of relevant articles were also manually searched. The quality evaluation of the included studies was carried out according to the guidelines of the Newcastle–Ottawa Scale. Data were analyzed with Review Manager 5.3 and Stata 13.0 software. In total, 12 articles involving 2014 patients were included. Conclusion: Our results demonstrated that the ABCB1 gene C3435T polymorphism might be a reliable predictor of response to methotrexate in rheumatoid arthritis patients. However, well-designed, multicenter and large-scale prospective studies are required to further confirm the validity of our results.
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Affiliation(s)
- Xiao He
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
- First Department, State Key Laboratory of Trauma, Burn & Combined Injury, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
| | - Mingfang Sun
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
| | - Shenju Liang
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
| | - Mengshan Li
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
| | - Liangliang Li
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
| | - Yi Yang
- Department of Rheumatology & Clinical Immunology, Daping Hospital & Research Institute of Surgery, Army Medical University, Chongqing 400042, PR China
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ABCB1 c.3435C>T polymorphism is associated with platinum toxicity: a preliminary study. Cancer Chemother Pharmacol 2019; 83:803-808. [DOI: 10.1007/s00280-019-03794-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 02/03/2019] [Indexed: 10/27/2022]
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Do SNPs in folate pharmacokinetic pathway alter levels of intracellular methotrexate polyglutamates and affect response? A prospective study in Indian patients. Clin Rheumatol 2018; 37:3221-3228. [PMID: 30022368 DOI: 10.1007/s10067-018-4206-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2018] [Revised: 07/05/2018] [Accepted: 07/09/2018] [Indexed: 12/26/2022]
Abstract
This study investigated the impact of seven polymorphisms in genes of folate transport and (de)glutamation pathway on methotrexate polyglutamate levels and response in patients with rheumatoid arthritis. This prospective study included patients with rheumatoid arthritis. They were treated with methotrexate (up to 25 mg per week) for 24 weeks and categorized by EULAR response criteria into responders (good and moderate) and non-responders. Using real-time Taqman discrimination assay, SNPs were genotyped-rs1045642 (ABCB1 3435C>T), rs1128503 (ABCB1 1236C>T), rs10106 (FPGS 1994A>G), rs1544105 (FPGS G>A), rs11545078 (GGH 452C>T), rs3758149 (GGH -401C>T), and rs1051266 (RFC1 80G>A). RBC methotrexate polyglutamate1-5(MTX-glu1-5) levels were determined at 4, 8, 16, and 24 weeks using by reverse phase HPLC using C-18 column followed by post column photo-oxidation. This study included 117 patients with rheumatoid arthritis (M:F = 14:103). The mean dose of methotrexate at 24 weeks was 22.0 ± 4.0 mg, with data on DAS28(3) at 24 weeks available in 96 patients-61 responders and 35 non-responders. Minor allele of GGH 452C>T had an association with non-response (odds ratio 2.9, 95% CI 1.4-5.6) and assuming the dominance of C, the recessive genetic model found GGH 452C>T CC genotype (odds ratio 9.5, 95% CI 1.2 to 76.0) was significantly associated with response. However, there was no difference in MTX-glu1-5 levels among the various genotypes of this SNP (p = 0.9). Other SNPs were neither associated with response nor with alteration in methotrexate polyglutamate levels. On logistic regression, GGH 452C>T CC genotype and DAS28(3) at baseline were independent predictors of response. GGH 452C>T CC genotype was associated with response to methotrexate. None of the SNPs affected MTX-glu1-5levels.
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Pharmacogenomics of etanercept, infliximab, adalimumab and methotrexate in rheumatoid arthritis. A structured review. ACTA ACUST UNITED AC 2018. [DOI: 10.1016/j.rcreue.2018.08.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Polymorphisms and Pharmacogenomics for the Clinical Efficacy of Methotrexate in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-analysis. Sci Rep 2017; 7:44015. [PMID: 28266606 PMCID: PMC5339794 DOI: 10.1038/srep44015] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 02/02/2017] [Indexed: 01/29/2023] Open
Abstract
Methotrexate (MTX) is widely used and considered a first-line disease modifying anti-rheumatic drug (DMARD) for the treatment of rheumatoid arthritis (RA). Many of the relevant genes have been investigated to estimate the association between gene polymorphisms and MTX effectiveness in RA patients, although inconsistent results have been reported. A systematic review and meta-analysis were performed to identify genetic variants associated with MTX efficacy. A total of 30 publications that included 34 genes and 125 SNPs associated with the transporters, enzymes, and metabolites of MTX or the progression of RA were included in the systematic review (SR), and 21 studies were included in 9 meta-analyses. Associations between MTX response in RA patients in MTHFR 1298A > C (rs1801131), ATIC 347C > G (rs2372536), RFC-1 80G > A (rs1051266), SLC19A1 A > G (rs2838956) and SLC19A1 G > A (rs7499) genetic polymorphisms were found, but not observed between the MTHFR 677C > T (rs1801133), TYMS 28 bp VNTR (rs34743033), MTRR 66A > G (rs1801394), and ABCB1 3435C > T (rs1045642). However, for the polymorphisms not being associated following meta-analysis could still be associated if larger cohorts were used, and studies of other polymorphisms are necessary in large cohorts and a rigorous way, which may provide more accurate results for the effect of the gene polymorphisms on the MTX response.
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Qiu Q, Huang J, Lin Y, Shu X, Fan H, Tu Z, Zhou Y, Xiao C. Polymorphisms and pharmacogenomics for the toxicity of methotrexate monotherapy in patients with rheumatoid arthritis: A systematic review and meta-analysis. Medicine (Baltimore) 2017; 96:e6337. [PMID: 28296761 PMCID: PMC5369916 DOI: 10.1097/md.0000000000006337] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Methotrexate (MTX) is widely used and considered a first-line disease modifying antirheumatic drug (DMARD) for the treatment of rheumatoid arthritis (RA). However, 10% to 30% of patients discontinue therapy within a year of starting the treatment, usually because of undesirable side effects. Many of the relevant genes have been investigated to estimate the association between gene polymorphisms and MTX toxicity in RA patients, although inconsistent results have been reported. METHODS We searched EMBASE and PubMed in February 2016 for polymorphisms and pharmacogenomics study of the toxicity of MTX monotherapy in RA patients. The meta-analysis was stratified by whether genetic variants associated with MTX toxicity. RESULTS A total of 42 publications that included 28 genes with 88 gene SNPs associated with the transporters, enzymes, and metabolites of MTX or the progression of RA were included in the SR, and 31 studies were included in 7 meta-analyses. The meta-analysis showed a significant association between the toxicity of MTX and the RFC-1 80G > A (rs1051266) polymorphism in the European RA patients. CONCLUSION RFC-1 80G > A (rs1051266) polymorphism was associated with MTX toxicity, and larger and more stringent study designs may provide more accurate results for the effect of these SNPs on the MTX toxicity.
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Affiliation(s)
- Qi Qiu
- Institute of Clinical Pharmacology, Beijing Anzhen Hospital, Capital Medical University
| | - Jing Huang
- Institute of Clinical Medicine, China-Japan Friendship Hospital
- Beijing University of Chinese Medicine
| | - Yang Lin
- Institute of Clinical Pharmacology, Beijing Anzhen Hospital, Capital Medical University
| | - Xiaoming Shu
- Department of Rheumatology, China-Japan Friendship Hospital, Beijing
| | - Huizheng Fan
- Department of Gastroenterology, People's Hospital of Yichun, Jiangxi Yichun
| | - Zhihua Tu
- Department of Rheumatology, Yili Kazak Autonomous Prefecture Hospital of Traditional Chinese Medicine, Xinjiang Yining, China
| | - Youwen Zhou
- Department of Dermatology and Skin Science, University of British Columbia
- Molecular Medicine Lab and Chieng Genomics Center, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
| | - Cheng Xiao
- Institute of Clinical Medicine, China-Japan Friendship Hospital
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16
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Chen Y, Zou K, Sun J, Yang Y, Liu G. Are gene polymorphisms related to treatment outcomes of methotrexate in patients with rheumatoid arthritis? A systematic review and meta-analysis. Pharmacogenomics 2017; 18:175-195. [PMID: 27992285 DOI: 10.2217/pgs-2016-0158] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Aim: Identifying the predictors of responsiveness and adverse events in methotrexate (MTX) treated patients with rheumatoid arthritis (RA) has been the focus of most concern, but still without consistent consensus. Methods: PubMed and OVID EMBASE were searched to collect relevant studies that addressed correlations between gene polymorphisms and efficacy and/or toxicity in MTX-treated RA patients. Allelic, recessive, dominant and over-dominant model were applied. Results: A total of 68 studies were included. For associations with efficacy, AMPD1 34C>T polymorphism was related to responsiveness in dominant model (odds ratio [OR]: 1.77; 95% CI: 1.19–2.63) and over-dominant model (OR: 1.59; 95% CI: 1.04–2.45). ATIC T675C polymorphism had association with responsiveness in recessive model (OR: 2.54; 95% CI: 1.23–5.26). For associations with toxicity, polymorphisms in TYMS 1494 del6 and FPGS rs10106 were correlated to absenting overall adverse events in recessive model (OR: 0.68; 95% CI: 0.49–0.95) and dominant model (OR: 0.54; 95% CI: 0.35–0.83) respectively while MTHFR C677T was associated with presenting overall adverse events in allelic model (OR: 1.29; 95% CI: 1.02–1.63), recessive model (OR: 1.38; 95% CI: 1.00–1.89) and dominant model (OR: 1.41; 95% CI: 1.02–1.94). Conclusion: Polymorphisms in AMPD1 34C>T and ATIC T675C predict responsiveness. The absence of TYMS 1494 del6 and FPGS rs10106 and presence of MTHFR C677T predict adverse events in RA patients treated with MTX. Moreover, variations of the associations were found between Caucasians and non-Caucasians.
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Affiliation(s)
- Yuehong Chen
- Department of Rheumatology & Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Kun Zou
- Department of Medical Record & Statistics, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science & Technology, Chengdu, China
| | - Jianhong Sun
- Department of Rheumatology & Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Yang
- Department of Rheumatology & Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Gang Liu
- Department of Rheumatology & Immunology, West China Hospital, Sichuan University, Chengdu, China
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17
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Rheumatoid Arthritis: The Stride from Research to Clinical Practice. Int J Mol Sci 2016; 17:ijms17060900. [PMID: 27338350 PMCID: PMC4926434 DOI: 10.3390/ijms17060900] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 05/29/2016] [Accepted: 06/01/2016] [Indexed: 12/27/2022] Open
Abstract
Over 70 different genetic variants with a significant association with rheumatoid arthritis (RA) have been discovered. Anti-citrullination protein antibodies (ACPA)-positive RA variants are more well-defined than their ACPA-negative counterparts. The human leukocyte antigen, HLA-DRB1 locus remains the prime suspect in anti-citrullination protein antibodies (ACPA)—positive RA. Different HLA-DRB1 alleles are linked to RA susceptibility across different ethnicities. With evolving techniques, like genome-wide association studies (GWAS) and single nucleotide polymorphism (SNP) arrays, more non-HLA susceptibility loci have been identified for both types of RA. However, the functional significance of only a handful of these variants is known. Their roles include increasing susceptibility to RA or in determining the speed at which the disease progresses. Additionally, a couple of variations are associated with protection from RA. Defining such clear-cut biological functions can aid in the clinical diagnosis and treatment of RA. Recent research has focused on the implication of microRNAs, with miR-146a widely studied. In addition to disease susceptibility, genetic variations that influence the efficacy and toxicity of anti-RA agents have also been identified. Polymorphisms in the MTHFR gene influence the effectiveness of methotrexate, the first line of therapy in RA. Larger studies are, however, needed to identify potential biomarkers for early disease identification and monitoring disease progression.
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