WO2022066032A1 - Procédé de pronostic de l'efficacité de traitement d'arthrite rhumatoïde avec une préparation d'olokizumab - Google Patents

Procédé de pronostic de l'efficacité de traitement d'arthrite rhumatoïde avec une préparation d'olokizumab Download PDF

Info

Publication number
WO2022066032A1
WO2022066032A1 PCT/RU2020/000502 RU2020000502W WO2022066032A1 WO 2022066032 A1 WO2022066032 A1 WO 2022066032A1 RU 2020000502 W RU2020000502 W RU 2020000502W WO 2022066032 A1 WO2022066032 A1 WO 2022066032A1
Authority
WO
WIPO (PCT)
Prior art keywords
polymorphisms
olokizumab
rheumatoid arthritis
rsl
treatment
Prior art date
Application number
PCT/RU2020/000502
Other languages
English (en)
Russian (ru)
Inventor
Андрей Александрович ЗАМЯТНИН
Дмитрий Сергеевич МИХАЙЛЕНКО
Марина Вячеславовна НЕМЦОВА
Ирина Владимировна БУРЕ
Екатерина Борисовна КУЗНЕЦОВА
Мария Степановна ЛЕМАК
Вадим Владимирович Тарасов
Original Assignee
федеральное государственное автономное образовательное учреждение высшего образования Первый Московский государственный медицинский университет имени И.М. Сеченова Министерства здравоохранения Российской Федерации (Сеченовский университет)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by федеральное государственное автономное образовательное учреждение высшего образования Первый Московский государственный медицинский университет имени И.М. Сеченова Министерства здравоохранения Российской Федерации (Сеченовский университет) filed Critical федеральное государственное автономное образовательное учреждение высшего образования Первый Московский государственный медицинский университет имени И.М. Сеченова Министерства здравоохранения Российской Федерации (Сеченовский университет)
Publication of WO2022066032A1 publication Critical patent/WO2022066032A1/fr

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing

Definitions

  • the invention relates to medicine, namely to genetics and rheumatology, and can be used to predict the effectiveness of treatment with olokizumab in patients with rheumatoid arthritis.
  • Rheumatoid arthritis is a chronic systemic inflammatory disease of the connective tissue with progressive joint damage and autoimmune disorders.
  • autoimmune arthritis reaches almost 1% of the world's population, which makes it an urgent problem of modern healthcare [Scherer, H.U.; Haupl, T.; Burmester, G.R. The etiology of rheumatoid arthritis. J. Autoimmun. 2020, 110, 102400].
  • a characteristic feature of rheumatoid arthritis is a pronounced clinical polymorphism, which consists in a wide variability in symptoms and clinical forms.
  • rheumatoid arthritis is considered as a multifactorial disease that develops in the presence of a genetic predisposition and provoking environmental factors [Karami, J.; Aslani, S.; Jamshidi, A.; Garshasbi, M.; Mahmoudi, M. Genetic implications in the pathogenesis of rheumatoid arthritis; an updated review. Gene 2019, 702, 8-16].
  • HLA-DRB1 alleles which encode unfavorable variants of the SE epitope and are associated with the development of rheumatoid arthritis with a high level of anticitrulline antibodies (ACA-positive rheumatoid arthritis). These alleles account for 18% of the hereditary component of ACA-positive rheumatoid arthritis and only 2.4% of ACA-negative rheumatoid arthritis.
  • HLA-DRB1 SE epitope occurs in 64-70% of patients with rheumatoid arthritis, 55% of their healthy relatives, but only in 35% of individuals on average in the population [Castro-Santos, R.; Diaz-Pena, R. Genetics of rheumatoid arthritis: a new boost is needed in Latin American populations. Rev. Bras. Reumatol. (English Ed. 2016, 56, 171-177.].
  • HLA-DRB1 sequencing showed that in European populations in patients with rheumatoid arthritis, alleles *04:01 and *04:04 predominate in frequency, in East Asia - *04:05. Alleles *04:02 and 04:03 are protective.
  • amino acid substitutions at positions 11 and 13 of DR4 are also associated with rheumatoid arthritis (alleles *04:01/*04:04/*04:05 vs. DR1 *01:01) [Okada, Y.; Kim, K.; Han, W.; Pillai, N.E.; Ong, RT-H.; Saw, W.-Y.; Luo, M.; Jiang, L.; Yin, J.; Bang, S.-Y.; et al. Risk for ACPA-positive rheumatoid arthritis is driven by shared HLA amino acid polymorphisms in Asian and European populations. Hum. Mol. Genet. 2014, 23, 6916-6926].
  • Each of the 100 non-HLA genomic loci shown to be associated with rheumatoid arthritis in genomic association studies contains, on average, four potential candidate genes (377 genes in total). Of these, only 19 candidate genes as markers of predisposition demonstrate alleles associated with amino acid substitutions that can affect the functional activity of the protein they encode.
  • PTPN22 and CTLA4 were identified as the main candidate genes in Caucasians, PADI4 in Asians, and the odds ratio in statistical analysis of 1.4 or more was shown for the ILF3, TYK2, IL20RB, TNFAIP3 and some other genes [Korczowska I. Rheumatoid arthritis susceptibility genes : An overview (2014) World J Orthop; 5(4): 544-549].
  • the first line of therapy for rheumatoid arthritis in most cases includes methotrexate.
  • it may be advisable to use pharmacogenetic tests to select an individual dosage and reduce the likelihood of toxic effects [Smolen, JS; Landewe, R.B.M.; Bijlsma, JWJ; Burmester, G. R.; Dougados, M.; Kerschbaumer, A.; McInnes, I. B.; Sepriano, A.; van Vollenhoven, RF; de Wit, M.; et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update. Ann. Rheum. Dis.
  • DMARD drugs can be prescribed as second and third lines of therapy: inhibitors of tumor necrosis factor, interleukin 6, CD-20 B-lymphocytes, as well as costimulatory factors.
  • the feasibility of using DMARDs alone or in combination is determined based on the severity of symptoms of the disease after 3 and 6 months from the start of use according to clinical rating scales [Singh, JA; Saag, KG; Bridges, S.L.; Akl, E.A.; Bannuru, R.
  • sensitivity to tocilizumab may differ, for example, due to the replacement of asparagine by alanine in codon 358 of the IL6R gene, which shifts the balance and increases the relative concentration of the soluble form of the receptor by 35% [Maldonado-Montoro, M.; Canadas-Garre, M.; Gonzalez-Utrilla, A.; Angel Calleja-Hemandez, M. Influence of IL6R gene polymorphisms in the effectiveness to treatment with tocilizumab in rheumatoid arthritis. Pharmacogenomics J. 2018, 18, 167-172.].
  • loci polymorphisms
  • Olokizumab is a monoclonal antibody that blocks the assembly of the IL6/IL6R ligand-receptor complex [Serio I, Tovoli F. Rheumatoid arthritis: new monoclonal antibodies. Drugs Today (Bare). 2018 Mar;54(3):219-230.].
  • SNPs polymorphisms
  • 41 SNPs were characterized as a marker system associated with erosive joint damage.
  • Steroid hormone-related polymorphisms associate with the development of bone erosions in rheumatoid arthritis and help to predict disease progression: Results from the REPAIR consortium. sci rep. 2019 Oct 15;9(1): 14812. doi: 10.1038/s41598-019-51255-0.].
  • the disadvantage of this method is the presence in the system of only hormone genes and their receptors without taking into account other candidate genes, limited predictive value (low odds ratio) and applicability only to patients with seropositive rheumatoid arthritis.
  • Genotyping is carried out using the PCR method and subsequent extension of internal primers with the detection of reaction products on a capillary sequencer in fragment analysis mode
  • the disadvantage of this method is a limited set of polymorphisms, the absence of association markers for other types of DMARD drugs successfully used to treat rheumatoid arthritis, in particular, olokizumab.
  • genotyping of alleles of the DRB1 locus is carried out by the method of multiprimer allele-specific real-time PCR (RU No. FSR 2008/03891 of 09/27/2017).
  • a study using this set of reagents consists of the stages of DNA extraction (sample preparation) and real-time PCR amplification. DNA probes are introduced into the reaction mixture for amplification, each of which carries a fluorescent label and a fluorescence quencher.
  • the kit of reagents includes reaction mixtures for typing 13 groups of DRB1 alleles: *01, *03, *04, *07, *08, *09, *10, *11, *12, *13, *14, *15, *16.
  • the amount of DNA analyzed should be at least 1 ng, the time of amplification takes from 2.5 hours. As a result, it is possible to identify alleles, in particular *04, associated with rheumatoid arthritis and other autoimmune diseases.
  • the disadvantage of this method is the analysis of only the DRB1 locus, which does not allow to determine unfavorable alleles that are not related to HLA, but nevertheless associated with the development, clinical course and response to therapy of rheumatoid arthritis.
  • Closest to the proposed invention is a method for predicting the effectiveness of treatment of rheumatoid arthritis with monoclonal antibodies to TNF-alpha based on the allelic polymorphism of the TNF gene promoter (patent RU 2 485 511 C2). The method is based on the genotyping of the polymorphism at position -857 of the TNFA gene. If the T allele in a homo- or heterozygous state is detected in a patient, a high probability of the effectiveness of therapy with infliximab is predicted, in contrast to patients with the C/C genotype.
  • the disadvantage of the prototype is the absence in the test system of other significant polymorphisms and candidate genes for rheumatoid arthritis, in addition, the method is not intended to predict the effectiveness of other targeted drugs, in particular olokizumab.
  • the technical problem to be solved by the invention is to determine the predictors of the development of an effective clinical response to treatment with olokizumab in patients with rheumatoid arthritis, which would allow individualization of therapy.
  • the technical result of the proposed invention is the possibility of predicting the effectiveness of the drug olokizumab in the treatment of rheumatoid arthritis based on the results of molecular genetic analysis.
  • the specified technical result is achieved by implementing a method according to which genotyping of 27 polymorphisms in 18 genes is carried out: rsl 143623, rsl 143634 and rsl6944 ILlBp, rs3784864 (AVSSG), rsl0987742 (FPGS), rs2228145 ⁇ IL6R , rs767455 and rsl28000).
  • rsl7602729 AMPD1 rs874881, rs2240336, rsl748032, rs2240335, rsl 1203367 and rs2301888
  • PADI4 rs5744174 (TLR5)
  • rs2032582 ABS1
  • rsl 974226 (1L17A
  • rs6920220 TNFAIP3
  • rs3213422 DHODH
  • rs419598 IL1RN
  • rs3218253 IL2RB
  • rs360722 and rs360718 IL18
  • rs7574865 STAT4
  • rs7 IL2RA distribute polymorphisms into three groups, the first of which includes polymorphisms rsl 143623 (IL1B), rsl6944 (IL1B), rs3784864 (ABCC1), rslO987742 (FPGS), rs2228145
  • rsl 143634 (IL1B), rsl7602729 (AMPD1), rs360718 (IL18), rsl974226 (IL17A), rs7574865 (STAT4), rs760426 (AIRE), rs2104286 (IL2RA), rs874881 (PADI4), rs2240335 (PADI4), rsl 1203367 (PADI4) associated with hepatotoxicity.
  • Genotypes are determined for each of the indicated polymorphisms of the studied genes and the occurrence of associated alleles in the homozygous and heterozygous states is assessed in accordance with the scoring scale, assigning scores in accordance with Table 1.
  • the sums of KI, K2 and KZ scores are calculated for each of the three groups of polymorphisms, accordingly, both with the obtained values of K1>6 or K2>7 and with the value of KZ ⁇ 5, a high efficiency of treatment with olokizumab is predicted.
  • the method can be used to evaluate the effectiveness of drug treatment in Caucasian individuals, in particular, Russian patients.
  • genomic DNA is isolated in an amount of at least 10 ng / ⁇ l using one of the sets that have a registration certificate, for example, DNA-sorb-B (Federal Scientific Research Institute of Epidemiology of Rospotrebnadzor ), Proba-Ficoll (DNA technology).
  • concentration of the received DNA preparation is measured on a fluorimeter, for example, Qubit 2.0/3.0 using a reagent kit designed for low concentrations of double-stranded DNA, for example, Qubit dsDNA HS Assay.
  • the chips are prepared and loaded at the Ion ChefTM Instrument automatic station, high-throughput sequencing of the obtained amplification library is carried out on the Ion S5TM System semiconductor sequencer (ThermoFisherScientific).
  • the feature of the proposed method lies in the fact that non-HLA genes (polymorphisms) are genotyped, which are grouped depending on a specific prognostic clinical criterion.
  • the first group includes the polymorphisms rsl 143623 and rsl6944 (ILIB), rs3784864 (ABCC), rsl0987742 (FPGS), rs2228145 (IL6R), rs767455 (TNFRSF1A), rsl7602729 (AMPD1), rs2240336 (PADI4), rs5744174 (TLR2AB2), ) and rsl 974226 (IL17A), which showed an association with an early response to olokizumab at week 12 of the drug.
  • IB polymorphisms rsl 143623 and rsl6944
  • ABCC rs3784864
  • FPGS rsl0987742
  • IL6R rs2228145
  • rs767455 TNFRSF1A
  • AMPD1A rsl7602729
  • AMPD1A rs2240336
  • the second group consists of polymorphisms associated with a late response to olokizumab at week 24 of treatment with this drug: rsl974226 (IL17A), rs5744174 (TLR5), rsl6944 and rsl 143634 (ILIB), rs3784864 (ABSH), rs6920220 (TNFAIP3), rs2032582 (ABCB1), rs3213422 (DHODH), rs419598 (IL1RN), rs3218253 (IL2RB), rs360722 (IL18), rsl 748032 and rs2301888 (PADI4), rsl 800692 (TNFRSF1A).
  • rsl974226 IL17A
  • TLR5 rs5744174
  • rsl6944 and rsl 143634 rs3784864
  • ABSH rs6920220
  • TNFAIP3
  • the third group of polymorphisms is designed to assess the risk of side effects (safety) of olokizumab and includes loci associated with hepatotoxicity: rsl 143634 (IL1B), rsl7602729 (AMPD1), rs360718 (IL18), rsl974226 (IL17A), rs7574865 (STAT4), rs760426 (AIRE ), rs2104286 (IL2RA), as well as rs874881, rs2240335 and rsl 1203367 (PADI4).
  • rsl 143634 IL1B
  • AMPD1 rsl7602729
  • IL18 rs360718
  • rsl974226 IL17A
  • STAT4 rs7574865
  • rs760426 AIRE
  • rs2104286 IL2RA
  • PADI4 rs874881, rs22403
  • the polymorphisms included in the groups for evaluating prognostic criteria were selected based on a preliminary study of 125 DNA samples obtained from olokizumab-treated patients with rheumatoid arthritis after progression on the background of methotrexate treatment (these subgroups partially overlap).
  • 1 point is assigned to the homozygous associated genotype, and 0 points for other genotypes. If the classifier is the occurrence of an allele, then in the presence of an associated allele, 1 point is assigned, in the absence - 0 points.
  • Table 1 shows the composition of the groups of tested polymorphisms associated with the clinical characteristics of genotypes and their conditional scores for calculating the prediction of the effectiveness of olokizumab.
  • genotyping allows the selection of patients with progression of rheumatoid arthritis after methotrexate treatment and a high probability of effective use of olokizumab relative to the average population level.
  • Diagnostic sensitivity was defined as the proportion of patients belonging to the group of presumably high efficacy of olokizumab based on the results of the proposed method and showing an improvement in the condition according to the DAS28 and/or ACR20/50 scales in the absence of signs of hepatotoxicity, to the total number of patients with a decrease in the intensity of rheumatoid arthritis according to the DAS28 and /or ACR20/50 in the absence of signs of hepatotoxicity by the 24th week of olokizumab use. Diagnostic sensitivity was 87%.
  • Diagnostic specificity was defined as the proportion of samples belonging to the group of presumably population-average efficacy of olokizumab and/or an increased risk of hepatotoxicity based on the results of the proposed method and which did not show improvement on the DAS28 scales (ACR20/50) and/or signs of hepatotoxicity, to the total number of patients with no a significant decrease in the intensity of rheumatoid arthritis according to the DAS28 (and / or ACR20 / 50) scales, as well as an increase in the level of liver enzymes and signs of hepatotoxicity by the 24th week of olokizumab use. Diagnostic specificity was 72%.
  • the present invention is illustrated by specific examples of implementation, demonstrating the possibility of achieving the desired technical result.
  • Example 1 Patient K., aged 54, diagnosed with seropositive rheumatoid arthritis M.05.08, progression during treatment with methotrexate.
  • genotypes were determined for each of the indicated polymorphisms of the studied genes and an assessment was made of the occurrence of associated alleles in the homozygous and heterozygous states in accordance with the scoring scale presented in Table 1.
  • Example 2 Patient N., aged 59, diagnosed with seropositive rheumatoid arthritis M.05.08, progression during treatment with methotrexate.
  • genotypes were determined for each of the indicated polymorphisms of the studied genes and an assessment was made of the occurrence of associated alleles in the homozygous and heterozygous states in accordance with the scoring scale presented in Table 1.
  • Example 3 Patient R., aged 35, diagnosed with seropositive rheumatoid arthritis M.05.08, progression during treatment with methotrexate.
  • Table 4 associated with early and late response to treatment with olokizumab, respectively, did not exceed the threshold value, and the sum of scores for the group of polymorphisms associated with hepatotoxicity was equal to the threshold value, and therefore the efficacy of olokizumab therapy was predicted, not exceeding the average population characteristics.
  • the use of the proposed method makes it possible to predict the clinical response to treatment with olokizumab.
  • This method can be used for personalized selection of therapy for patients with rheumatoid arthritis, in particular, in the Russian population.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Organic Chemistry (AREA)
  • Molecular Biology (AREA)
  • Zoology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biotechnology (AREA)
  • Urology & Nephrology (AREA)
  • Wood Science & Technology (AREA)
  • Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Hematology (AREA)
  • Biomedical Technology (AREA)
  • Microbiology (AREA)
  • Genetics & Genomics (AREA)
  • General Engineering & Computer Science (AREA)
  • Cell Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biophysics (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

L'invention se rapporte au domaine de la médecine, notamment à la génétique et à la rhumatologie, et peut être utilisée afin de pronostiquer l'efficacité de traitement d'une préparation d'olokizumab chez des patients souffrant d'arthrite rhumatoïde. Ce procédé comprend le génotypage de 27 polymorphismes dans 18 gènes, la répartition des polymorphismes en trois groupes, la définition des génotypes de chacun des polymorphismes et l'estimation d'occurrence des allèles associés dans des combinaisons homozygotes et hétérozygotes conformément à une échelle de points. En fonction de la comparaison de la somme des points de chacun des groupes de polymorphismes à des valeurs seuils, on tire une conclusion sur l'efficacité de la thérapie par olokizumab.
PCT/RU2020/000502 2020-09-28 2020-09-29 Procédé de pronostic de l'efficacité de traitement d'arthrite rhumatoïde avec une préparation d'olokizumab WO2022066032A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
RU2020131970 2020-09-28
RU2020131970A RU2749247C1 (ru) 2020-09-28 2020-09-28 Способ прогнозирования эффективности лечения ревматоидного артрита препаратом олокизумаб на основе генотипирования

Publications (1)

Publication Number Publication Date
WO2022066032A1 true WO2022066032A1 (fr) 2022-03-31

Family

ID=76301552

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/RU2020/000502 WO2022066032A1 (fr) 2020-09-28 2020-09-29 Procédé de pronostic de l'efficacité de traitement d'arthrite rhumatoïde avec une préparation d'olokizumab

Country Status (2)

Country Link
RU (1) RU2749247C1 (fr)
WO (1) WO2022066032A1 (fr)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
RU2416799C1 (ru) * 2010-02-02 2011-04-20 Людмила Петровна Сизякина Способ прогнозирования эффективности включения инфликсимаба в терапию пациентов с ревматоидным артритом
EA017815B1 (ru) * 2007-06-08 2013-03-29 Байоджен Айдек Ма Инк. Биомаркеры для прогнозирования чувствительности или отсутствия чувствительности к анти-фно агентам
RU2485511C2 (ru) * 2011-07-07 2013-06-20 Федеральное государственное бюджетное учреждение "Научно-исследовательский институт клинической иммунологии" Сибирского отделения Российской академии медицинских наук (ФГБУ "НИИКИ" СО РАМН) Способ прогнозирования эффективности лечения ревматоидного артрита моноклональными антителами к фно-альфа на основе аллельного полиморфизма промотора гена фно

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EA017815B1 (ru) * 2007-06-08 2013-03-29 Байоджен Айдек Ма Инк. Биомаркеры для прогнозирования чувствительности или отсутствия чувствительности к анти-фно агентам
RU2416799C1 (ru) * 2010-02-02 2011-04-20 Людмила Петровна Сизякина Способ прогнозирования эффективности включения инфликсимаба в терапию пациентов с ревматоидным артритом
RU2485511C2 (ru) * 2011-07-07 2013-06-20 Федеральное государственное бюджетное учреждение "Научно-исследовательский институт клинической иммунологии" Сибирского отделения Российской академии медицинских наук (ФГБУ "НИИКИ" СО РАМН) Способ прогнозирования эффективности лечения ревматоидного артрита моноклональными антителами к фно-альфа на основе аллельного полиморфизма промотора гена фно

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ENEVOLD CHRISTIAN ET AL.: "lnterleukin-6-receptor polymorphisms rs12083537, rs2228145, and rs4329505 as predictors of response to tocilizumab in rheumatoid arthritis", PHARMACOGENETICS AND GENOMICS, vol. 24, no. 8, August 2014 (2014-08-01), pages 401 - 5, XP009182003, DOI: 10.1097/FPC.0000000000000071 *
GENOVESE MARK C, FLEISCHMANN ROY, FURST DANIEL, JANSSEN NAMIETA, CARTER JOHN, DASGUPTA BHASKAR, BRYSON JUDY, DUNCAN BENJAMIN, ZHU : "Efficacy and safety of olokizumab in patients with rheumatoid arthritis with an inadequate response to TNF inhibitor therapy: outcomes of a randomised Phase IIb study", ANNALS OF THE RHEUMATIC DISEASES, BRITISH MEDICAL ASSOCIATION, GB, vol. 73, no. 9, 1 September 2014 (2014-09-01), GB , pages 1607 - 1615, XP055931849, ISSN: 0003-4967, DOI: 10.1136/annrheumdis-2013-204760 *
MAGYARI LILI, VARSZEGI DALMA, KOVESDI ERZSEBET, SARLOS PATRICIA, FARAGO BERNADETT, JAVORHAZY ANDRAS, SUMEGI KATALIN, BANFAI ZSOLT,: "Interleukins and interleukin receptors in rheumatoid arthritis: Research, diagnostics and clinical implications", WORLD JOURNAL OF ORTHOPEDICS :WJO, BEIJING BAISHIDENG BIOMED SCIENTIFIC, CN, vol. 5, no. 4, 1 January 2014 (2014-01-01), CN , XP055931855, ISSN: 2218-5836, DOI: 10.5312/wjo.v5.i4.516 *

Also Published As

Publication number Publication date
RU2749247C1 (ru) 2021-06-07

Similar Documents

Publication Publication Date Title
Costantino et al. Genetics and functional genomics of spondyloarthritis
Gheita et al. Clinical significance of serum TNFα and-308 G/A promoter polymorphism in rheumatoid arthritis
Suzuki et al. Insight from genome-wide association studies in rheumatoid arthritis and multiple sclerosis
EP2167687A2 (fr) Biomarqueurs pour prédire une réactivité ou non réactivité anti-tnf
JP2012503985A (ja) ループスの治療、診断、モニタリング方法
US20170306401A1 (en) Methods for identification and prediction of multiple sclerosis disease and therapy response
WO2015184249A2 (fr) Marqueurs de risque associé au lupus érythémateux aigu disséminé et à une maladie liée au lupus érythémateux aigu disséminé, et leurs utilisations
US20080286876A1 (en) GENES ASSOCIATED WITH ALZHEIMER'S DISEASE - Hltdip
EP3101142B1 (fr) Procédé et dispositif pour faciliter le diagnostic de l'efficacité du méthotrexate chez les patients atteints de polyarthrite rhumatoïde
RU2749247C1 (ru) Способ прогнозирования эффективности лечения ревматоидного артрита препаратом олокизумаб на основе генотипирования
US20080108076A1 (en) Genes associated with unipolar depression
Garau et al. Altered DNA methylation and gene expression predict disease severity in patients with Aicardi-Goutieres syndrome
JP6128654B2 (ja) 関節リウマチの新規遺伝因子としてのミエリン塩基性蛋白の利用
Hunt et al. Novel celiac disease genetic determinants related to the immune response
Wang et al. Genetic effects of B3GNT2 on ankylosing spondylitis susceptibility and clinical manifestations in Taiwanese
CN112410413A (zh) Onfh易感相关vdr、mmp2、mmp3、mmp9基因snp的检测物质及应用
Tekaya et al. Interleukin-1 gene polymorphisms in axial spondyloarthritis Tunisian patients Etude des polymorphismes du gène codant pour l’interleukine-1 au cours de la spondyloarthrite axiale
EP1824994A1 (fr) Procedes visant a evaluer la predisposition ou la susceptibilite vis-a-vis de la bpco
JP6516128B2 (ja) 抗甲状腺薬誘発性無顆粒球症リスクを判定するための検査方法及び判定用キット
EP1881081A1 (fr) Combinaison de marqueurs pour le diagnostic de la polyarthrite rhumatöide avec une fiabilité augmentée
JP2014514915A (ja) 関節リウマチとsstr2遺伝子の多型との間の遺伝的関連
RU2739890C1 (ru) Способ оценки риска тяжелой формы акне на основе определения экспрессии генов IL1RN и IL10
Juda ASSOCIATION BETWEEN MYOSIN HEAVY CHAIN POLYMORPHISM AND PROGRESSION OF RENAL FAILURE.
US7771942B2 (en) Genetic marker for prostate cancer
Vallet et al. HMG Advance Access published February 20, 2015

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20955407

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20955407

Country of ref document: EP

Kind code of ref document: A1