Serum proteomic analysis identifies interleukin 16 as a biomarker for clinical response during early treatment of rheumatoid arthritis

•Given the comprehensive proteomics in serum samples from RA and controls to identify novel serum biomarkers based on synovitis status, IL-16 exhibited the highest correlation with MMP-3 in RA.•Regarding treatment with methotrexate or biologics in RA patients, fluctuation of IL-16 was well correlate...

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Published inCytokine (Philadelphia, Pa.) Vol. 78; pp. 87 - 93
Main Authors Murota, Atsuko, Suzuki, Katsuya, Kassai, Yoshiaki, Miyazaki, Takahiro, Morita, Rimpei, Kondo, Yasushi, Takeshita, Masaru, Niki, Yasuo, Yoshimura, Akihiko, Takeuchi, Tsutomu
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.02.2016
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ISSN1043-4666
1096-0023
1096-0023
DOI10.1016/j.cyto.2015.12.002

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Abstract •Given the comprehensive proteomics in serum samples from RA and controls to identify novel serum biomarkers based on synovitis status, IL-16 exhibited the highest correlation with MMP-3 in RA.•Regarding treatment with methotrexate or biologics in RA patients, fluctuation of IL-16 was well correlated with clinical response and a more effective clinical parameter than MMP-3, CRP or ESR.•This is the first study to identify changes in serum IL-16 levels in response to various therapeutic agents. To conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix metalloproteinase-3 (MMP-3) and to determine the clinical significance of these biomarkers in rheumatoid arthritis (RA). Patients with untreated RA (n=28), primary Sjogren’s syndrome (pSS) (n=30), and healthy controls (HCs) (n=30) were enrolled for the screening assay. A total of 1128 serum proteins were analyzed using the SOMAscan™ assay. Serum levels of MMP-3 and interleukin (IL)-16 were measured using a latex turbidimetric immunoassay and ELISA at baseline and 12weeks after treatment with methotrexate (MTX) for MTX-naïve RA patients (n=28) or with the biologics tocilizumab (TCZ) (n=7), abatacept (ABT) (n=11) or infliximab (n=22) for MTX-inadequate response (IR) RA patients. Correlation analysis was conducted using Spearman’s rank correlation method. Proteomics showed that serum IL-16 levels were most positively correlated with those of MMP-3 (ρ=0.51, p<0.01) and were significantly increased in patients with untreated active RA compared to HCs (p<0.01) or those with pSS (p<0.01). IL-16 levels decreased following treatment in both the MTX-naïve and MTX-IR groups. Regarding clinical response, fluctuations in IL-16 levels were positively associated with changes in clinical indicators, particularly the Clinical Disease Activity Index (ρ=0.89, p<0.01) in the TCZ and ABT-treated group. However, no similar correlation was noted in MMP-3 and acute phase reactants in any groups. IL-16 was a more effective clinical parameter than MMP-3, C-reactive protein, or erythrocyte sedimentation rate in both MTX-naive and MTX-IR RA patients. IL-16 might be a useful biomarker for evaluating clinical response in RA patients.
AbstractList •Given the comprehensive proteomics in serum samples from RA and controls to identify novel serum biomarkers based on synovitis status, IL-16 exhibited the highest correlation with MMP-3 in RA.•Regarding treatment with methotrexate or biologics in RA patients, fluctuation of IL-16 was well correlated with clinical response and a more effective clinical parameter than MMP-3, CRP or ESR.•This is the first study to identify changes in serum IL-16 levels in response to various therapeutic agents. To conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix metalloproteinase-3 (MMP-3) and to determine the clinical significance of these biomarkers in rheumatoid arthritis (RA). Patients with untreated RA (n=28), primary Sjogren’s syndrome (pSS) (n=30), and healthy controls (HCs) (n=30) were enrolled for the screening assay. A total of 1128 serum proteins were analyzed using the SOMAscan™ assay. Serum levels of MMP-3 and interleukin (IL)-16 were measured using a latex turbidimetric immunoassay and ELISA at baseline and 12weeks after treatment with methotrexate (MTX) for MTX-naïve RA patients (n=28) or with the biologics tocilizumab (TCZ) (n=7), abatacept (ABT) (n=11) or infliximab (n=22) for MTX-inadequate response (IR) RA patients. Correlation analysis was conducted using Spearman’s rank correlation method. Proteomics showed that serum IL-16 levels were most positively correlated with those of MMP-3 (ρ=0.51, p<0.01) and were significantly increased in patients with untreated active RA compared to HCs (p<0.01) or those with pSS (p<0.01). IL-16 levels decreased following treatment in both the MTX-naïve and MTX-IR groups. Regarding clinical response, fluctuations in IL-16 levels were positively associated with changes in clinical indicators, particularly the Clinical Disease Activity Index (ρ=0.89, p<0.01) in the TCZ and ABT-treated group. However, no similar correlation was noted in MMP-3 and acute phase reactants in any groups. IL-16 was a more effective clinical parameter than MMP-3, C-reactive protein, or erythrocyte sedimentation rate in both MTX-naive and MTX-IR RA patients. IL-16 might be a useful biomarker for evaluating clinical response in RA patients.
To conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix metalloproteinase-3 (MMP-3) and to determine the clinical significance of these biomarkers in rheumatoid arthritis (RA). Patients with untreated RA (n=28), primary Sjogren's syndrome (pSS) (n=30), and healthy controls (HCs) (n=30) were enrolled for the screening assay. A total of 1128 serum proteins were analyzed using the SOMAscan™ assay. Serum levels of MMP-3 and interleukin (IL)-16 were measured using a latex turbidimetric immunoassay and ELISA at baseline and 12weeks after treatment with methotrexate (MTX) for MTX-naïve RA patients (n=28) or with the biologics tocilizumab (TCZ) (n=7), abatacept (ABT) (n=11) or infliximab (n=22) for MTX-inadequate response (IR) RA patients. Correlation analysis was conducted using Spearman's rank correlation method. Proteomics showed that serum IL-16 levels were most positively correlated with those of MMP-3 (ρ=0.51, p<0.01) and were significantly increased in patients with untreated active RA compared to HCs (p<0.01) or those with pSS (p<0.01). IL-16 levels decreased following treatment in both the MTX-naïve and MTX-IR groups. Regarding clinical response, fluctuations in IL-16 levels were positively associated with changes in clinical indicators, particularly the Clinical Disease Activity Index (ρ=0.89, p<0.01) in the TCZ and ABT-treated group. However, no similar correlation was noted in MMP-3 and acute phase reactants in any groups. IL-16 was a more effective clinical parameter than MMP-3, C-reactive protein, or erythrocyte sedimentation rate in both MTX-naive and MTX-IR RA patients. IL-16 might be a useful biomarker for evaluating clinical response in RA patients.
To conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix metalloproteinase-3 (MMP-3) and to determine the clinical significance of these biomarkers in rheumatoid arthritis (RA).OBJECTIVESTo conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix metalloproteinase-3 (MMP-3) and to determine the clinical significance of these biomarkers in rheumatoid arthritis (RA).Patients with untreated RA (n=28), primary Sjogren's syndrome (pSS) (n=30), and healthy controls (HCs) (n=30) were enrolled for the screening assay. A total of 1128 serum proteins were analyzed using the SOMAscan™ assay. Serum levels of MMP-3 and interleukin (IL)-16 were measured using a latex turbidimetric immunoassay and ELISA at baseline and 12weeks after treatment with methotrexate (MTX) for MTX-naïve RA patients (n=28) or with the biologics tocilizumab (TCZ) (n=7), abatacept (ABT) (n=11) or infliximab (n=22) for MTX-inadequate response (IR) RA patients. Correlation analysis was conducted using Spearman's rank correlation method.METHODSPatients with untreated RA (n=28), primary Sjogren's syndrome (pSS) (n=30), and healthy controls (HCs) (n=30) were enrolled for the screening assay. A total of 1128 serum proteins were analyzed using the SOMAscan™ assay. Serum levels of MMP-3 and interleukin (IL)-16 were measured using a latex turbidimetric immunoassay and ELISA at baseline and 12weeks after treatment with methotrexate (MTX) for MTX-naïve RA patients (n=28) or with the biologics tocilizumab (TCZ) (n=7), abatacept (ABT) (n=11) or infliximab (n=22) for MTX-inadequate response (IR) RA patients. Correlation analysis was conducted using Spearman's rank correlation method.Proteomics showed that serum IL-16 levels were most positively correlated with those of MMP-3 (ρ=0.51, p<0.01) and were significantly increased in patients with untreated active RA compared to HCs (p<0.01) or those with pSS (p<0.01). IL-16 levels decreased following treatment in both the MTX-naïve and MTX-IR groups. Regarding clinical response, fluctuations in IL-16 levels were positively associated with changes in clinical indicators, particularly the Clinical Disease Activity Index (ρ=0.89, p<0.01) in the TCZ and ABT-treated group. However, no similar correlation was noted in MMP-3 and acute phase reactants in any groups.RESULTSProteomics showed that serum IL-16 levels were most positively correlated with those of MMP-3 (ρ=0.51, p<0.01) and were significantly increased in patients with untreated active RA compared to HCs (p<0.01) or those with pSS (p<0.01). IL-16 levels decreased following treatment in both the MTX-naïve and MTX-IR groups. Regarding clinical response, fluctuations in IL-16 levels were positively associated with changes in clinical indicators, particularly the Clinical Disease Activity Index (ρ=0.89, p<0.01) in the TCZ and ABT-treated group. However, no similar correlation was noted in MMP-3 and acute phase reactants in any groups.IL-16 was a more effective clinical parameter than MMP-3, C-reactive protein, or erythrocyte sedimentation rate in both MTX-naive and MTX-IR RA patients. IL-16 might be a useful biomarker for evaluating clinical response in RA patients.CONCLUSIONSIL-16 was a more effective clinical parameter than MMP-3, C-reactive protein, or erythrocyte sedimentation rate in both MTX-naive and MTX-IR RA patients. IL-16 might be a useful biomarker for evaluating clinical response in RA patients.
Author Kondo, Yasushi
Takeuchi, Tsutomu
Kassai, Yoshiaki
Yoshimura, Akihiko
Suzuki, Katsuya
Niki, Yasuo
Takeshita, Masaru
Murota, Atsuko
Miyazaki, Takahiro
Morita, Rimpei
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  organization: Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
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  givenname: Katsuya
  surname: Suzuki
  fullname: Suzuki, Katsuya
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  givenname: Yoshiaki
  surname: Kassai
  fullname: Kassai, Yoshiaki
  email: yoshiaki.kassai@takeda.com
  organization: Inflammation Drug Discovery Unit, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, 26-1, Muraoka-higashi 2-chome, Fujisawa, Kanagawa 251-8555, Japan
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  givenname: Takahiro
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  organization: Inflammation Drug Discovery Unit, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, 26-1, Muraoka-higashi 2-chome, Fujisawa, Kanagawa 251-8555, Japan
– sequence: 5
  givenname: Rimpei
  surname: Morita
  fullname: Morita, Rimpei
  email: rimpeim@a7.keio.jp
  organization: Department of Microbiology and Immunology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
– sequence: 6
  givenname: Yasushi
  surname: Kondo
  fullname: Kondo, Yasushi
  email: yasutonko@yahoo.co.jp
  organization: Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
– sequence: 7
  givenname: Masaru
  surname: Takeshita
  fullname: Takeshita, Masaru
  email: takeshita02@hotmail.com
  organization: Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
– sequence: 8
  givenname: Yasuo
  surname: Niki
  fullname: Niki, Yasuo
  email: y-niki@keio.jp
  organization: Department of Orthopedic Surgery, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
– sequence: 9
  givenname: Akihiko
  surname: Yoshimura
  fullname: Yoshimura, Akihiko
  email: yoshimura@a6.keio.jp
  organization: Department of Microbiology and Immunology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
– sequence: 10
  givenname: Tsutomu
  surname: Takeuchi
  fullname: Takeuchi, Tsutomu
  email: tsutake@z5.keio.jp
  organization: Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8552, Japan
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Keywords Biomarker
Interleukin-16
Serum protein
Rheumatoid arthritis
Proteomics
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Snippet •Given the comprehensive proteomics in serum samples from RA and controls to identify novel serum biomarkers based on synovitis status, IL-16 exhibited the...
To conduct a comprehensive quantitative proteomics analysis of novel serum protein biomarkers based on synovitis status associated with matrix...
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SubjectTerms Abatacept - therapeutic use
Adult
Aged
Antibodies, Monoclonal, Humanized - therapeutic use
Antirheumatic Agents - therapeutic use
Arthritis, Rheumatoid - blood
Arthritis, Rheumatoid - drug therapy
Biomarker
Biomarkers - blood
Blood Proteins - analysis
Blood Proteins - immunology
Blood Sedimentation
Female
Humans
Infliximab - therapeutic use
Interleukin-16
Interleukin-16 - blood
Male
Matrix Metalloproteinase 3 - blood
Methotrexate - therapeutic use
Middle Aged
Proteomics
Rheumatoid arthritis
Serum protein
Statistics as Topic
Treatment Outcome
Title Serum proteomic analysis identifies interleukin 16 as a biomarker for clinical response during early treatment of rheumatoid arthritis
URI https://dx.doi.org/10.1016/j.cyto.2015.12.002
https://www.ncbi.nlm.nih.gov/pubmed/26700586
https://www.proquest.com/docview/1752585105
Volume 78
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