Evidence map›Paper›PMID 28962592›Full record

ArticleArthritis research & therapy2017

Targeted proteomics reveals promising biomarkers of disease activity and organ involvement in antineutrophil cytoplasmic antibody-associated vasculitis.

Jun Ishizaki, Ayako Takemori, Koichiro Suemori, Takuya Matsumoto, Yoko Akita, Ken-Ei Sada, Yukio Yuzawa, Koichi Amano, Yoshinari Takasaki, Masayoshi Harigai and 6 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Biomarkers in Primary Systemic Vasculitides: Narrative Review.International journal of molecular sciences · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Nature communications · 2024
    Article
  10. Article
  11. Article
  12. New Biomarkers for Systemic Necrotizing Vasculitides.Journal of clinical medicine · 2024
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Proteomics in thrombosis research.Research and practice in thrombosis and haemostasis · 2022
    Article
  19. LRG1: an emerging player in disease pathogenesis.Journal of biomedical science · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 8 institutions in 1 country.

Jun IshizakiDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Ayako TakemoriDivision of Proteomics Research, Proteo-Science Center, Ehime University, Toon, Ehime, 791-0295, Japan.
Koichiro SuemoriDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Takuya MatsumotoDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Yoko AkitaDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Ken-Ei SadaDepartment of Nephrology, Rheumatology, Endocrinology and Metabolism, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Yukio YuzawaDepartment of Nephrology, Fujita Health University School of Medicine, Aichi, Japan.
Koichi AmanoDepartment of Rheumatology and Clinical Immunology, Saitama Medical Center, Saitama Medical University, Saitama, Japan.
Yoshinari TakasakiDepartment of Rheumatology, Juntendo University Koshigaya Hospital, Saitama, Japan.
Masayoshi HarigaiDivision of Epidemiology and Pharmacoepidemiology of Rheumatic Diseases, Institute of Rheumatology, Tokyo Women's Medical University, Tokyo, Japan.
Yoshihiro ArimuraNephrology and Rheumatology, First Department of Internal Medicine, Kyorin University School of Medicine, Tokyo, Japan.
Hirofumi MakinoOkayama University Hospital, Okayama, Japan.
Masaki YasukawaDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan.
Nobuaki TakemoriDivision of Proteomics Research, Proteo-Science Center, Ehime University, Toon, Ehime, 791-0295, Japan. takemori@m.ehime-u.ac.jp.
Hitoshi HasegawaDepartment of Hematology, Clinical Immunology, and Infectious Diseases, Ehime University Graduate School of Medicine, Toon, Ehime, 791-0295, Japan. hitoshih@m.ehime-u.ac.jp.ORCID http://orcid.org/0000-0003-3902-2066
Research Committee of Intractable Vasculitis Syndrome and the Research Committee of Intractable Renal Disease of the Ministry of Health, Labour and Welfare of Japan
Ehime University · JPFujita Health University · JPJuntendo University · JPKyorin University · JPOkayama University · JPOkayama University Hospital · JPSocial Insurance Saitama Chuo Hospital · JPTokyo Women's Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTargeted proteomics, which involves quantitative analysis of targeted proteins using selected reaction monitoring (SRM) mass spectrometry, has emerged as a new methodology for discovery of clinical biomarkers. In this study, we used targeted serum proteomics to identify circulating biomarkers for prediction of disease activity and organ involvement in antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).

methodsA large-scale SRM assay targeting 135 biomarker candidates was established using a triple-quadrupole mass spectrometer coupled with nanoflow liquid chromatography. Target proteins in serum samples from patients in the active and remission (6 months after treatment) stages were quantified using the established assays. Identified marker candidates were further validated by enzyme-linked immunosorbent assay using serum samples (n = 169) collected in a large-cohort Japanese study (the RemIT-JAV-RPGN study).

resultsOur proteomic analysis identified the following proteins as biomarkers for discriminating patients with highly active AAV from those in remission or healthy control subjects: tenascin C (TNC), C-reactive protein (CRP), tissue inhibitor of metalloproteinase 1 (TIMP1), leucine-rich alpha-2-glycoprotein 1, S100A8/A9, CD93, matrix metalloproteinase 9, and transketolase (TKT). Of these, TIMP1 was the best-performing marker of disease activity, allowing distinction between mildly active AAV and remission. Moreover, in contrast to CRP, serum levels of TIMP1 in patients with active AAV were significantly higher than those in patients with infectious diseases. The serum levels of TKT and CD93 were higher in patients with renal involvement than in those without, and they predicted kidney outcome. The level of circulating TNC was elevated significantly in patients with lung infiltration. AAV severity was associated with markers reflecting organ involvement (TKT, CD93, and TNC) rather than inflammation. The eight markers and myeloperoxidase (MPO)-ANCA were clustered into three groups: MPO-ANCA, renal involvement (TKT and CD93), and inflammation (the other six markers).

conclusionsWe have identified promising biomarkers of disease activity, disease severity, and organ involvement in AAV with a targeted proteomics approach using serum samples obtained from a large-cohort Japanese study. Especially, our analysis demonstrated the effectiveness of TIMP1 as a marker of AAV activity. In addition, we identified TKT and CD93 as novel markers for evaluation of renal involvement and kidney outcome in AAV.

Indexed as

AgedAnti-Neutrophil Cytoplasmic Antibody-Associated VasculitisBiomarkersFemaleHumansMaleMiddle AgedProteomicsBiomarkersAntineutrophil cytoplasmic antibody-associated vasculitisBiomarkersEosinophilic granulomatosis with polyangiitisGranulomatosis with polyangiitisMicroscopic polyangiitisTargeted proteomics

Identifiers

PMID28962592
PMCPMC5622475
OpenAlexW2759728403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.