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Serum Metabolomic Profiles of Rheumatoid Arthritis Patients With Acute-Onset Diffuse Interstitial Lung Disease

Hiroshi Furukawa, Shomi Oka, Kota Shimada, Atsushi Hashimoto, Akiko Komiya, Toshihiro Matsui, Naoshi Fukui, Shigeto Tohma

Biomark Insights. 2019 Aug 22;14:1177271919870472.

PMID: 31488947

Abstract:

Objective:
Acute-onset diffuse interstitial lung disease (AoDILD) includes acute exacerbation of interstitial lung disease (ILD), drug-induced ILD, and Pneumocystis pneumonia, and frequently occurs in patients with rheumatoid arthritis (RA). Since AoDILD causes a poor prognosis in RA, biomarkers for AoDILD were eagerly desired. Metabolomic analyses were extensively performed in cancer patients and successfully generated better diagnostic biomarkers. In the present study, serum metabolomic profiles of AoDILD in RA were investigated to generate better potential metabolomic biomarkers.
Methods:
Serum samples of 10 RA patients with AoDILD were collected on admission and in a stable state, more than 3 months before the admission. Serum metabolomic analyses were conducted on the samples from these RA patients with AoDILD.
Results:
Apparently distinct serum metabolomic profiles in AoDILD were not observed in univariate or hierarchical cluster analyses. Partial least squares-discriminant analysis (PLS-DA) was performed to select candidate metabolites based on variable importance in projection (VIP) scores. The PLS-DA model generated from the four metabolites with VIP scores more than 2.25 (mannosamine, alliin, kynurenine, and 2-hydroxybutyric acid) could successfully discriminate AoDILD from the stable condition (area under the curve: 0.962, 95% confidence interval: 0.778-1.000).
Conclusion:
It was demonstrated that metabolomic profiling was useful to generate better biomarkers in AoDILD.

Chemicals Related in the Paper:

Catalog Number Product Name Structure CAS Number Price
AP3347908 (S)-2-Hydroxybutyric acid (S)-2-Hydroxybutyric acid 3347-90-8 Price
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