Serum progranulin as a predictive marker for high activity of antineutrophil cytoplasmic antibody-associated vasculitis

Taejun Yoon, Lucy Eunju Lee, Sung Soo Ahn, Jung Yoon Pyo, Jason Jungsik Song, Yong Beom Park, Sang Won Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Background: This study investigated whether serum progranulin could act as a predictive marker for high disease activity of antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). Methods: Fifty-eight AAV patients were included in this study. Clinical and laboratory data were obtained at blood collection. The Short-Form 36-Item Health Survey Physical and Mental Component Summaries (SF-36 PCS and SF-36 MCS), Birmingham Vasculitis activity score (BVAS), Five-Factor Score (FFS), and Vasculitis Damage Index (VDI) were assessed as AAV-specific indices. Whole blood was collected and serum samples were isolated and stored at −80°C. Serum progranulin concentration was quantified by ELISA kits. Results: The median age of patients was 63.0 years (19 men). The median BVAS was 11.0, and the median serum progranulin level was 49.0 ng/ml. Serum progranulin was significantly correlated with BVAS, FFS, erythrocyte sedimentation rate, C-reactive protein level, SF-36 PCS, haemoglobin, and serum albumin. Severe AAV was arbitrarily defined as the highest tertile of BVAS (BVAS ≥16). When the cut-offs of serum progranulin were set as 55.16 ng/ml and 43.01 ng/ml for severe AAV, AAV patients with serum progranulin ≥55.16 and 43.01 ng/ml had significantly higher risks of severe AAV than those without (relative risk (RR) 4.167 and 4.524, respectively). Conclusions: Progranulin might play an anti-inflammatory role in AAV pathogenesis and serum progranulin could be used as a predictive marker for high activity of AAV.

Original languageEnglish
Article numbere24048
JournalJournal of Clinical Laboratory Analysis
Volume35
Issue number11
DOIs
Publication statusPublished - 2021 Nov

Bibliographical note

Funding Information:
This research was supported by a faculty research grant of Yonsei University College of Medicine (6-2019-0184) and a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea (HI14C1324). We would like to appreciate Dr In Kyung Min for the statistical advice. (Biostatistics Collaboration Unit Department of Biomedical Systems Informatics Yonsei University College of Medicine, Seoul, Republic of Korea).

Funding Information:
This research was supported by a faculty research grant of Yonsei University College of Medicine (6‐2019‐0184) and a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute, funded by the Ministry of Health and Welfare, Republic of Korea (HI14C1324).

Publisher Copyright:
© 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC

All Science Journal Classification (ASJC) codes

  • Immunology and Allergy
  • Hematology
  • Public Health, Environmental and Occupational Health
  • Clinical Biochemistry
  • Medical Laboratory Technology
  • Biochemistry, medical
  • Microbiology (medical)

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