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Article

Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease

Affiliated Hospital of Nanjing University of Chinese Medicine, #155 Hanzhong Road, Qinhuai District, Nanjing 210029, China
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Biomedicines 2023, 11(1), 47; https://doi.org/10.3390/biomedicines11010047
Submission received: 28 November 2022 / Revised: 10 December 2022 / Accepted: 21 December 2022 / Published: 25 December 2022
(This article belongs to the Special Issue The Role of Lipids in the Pathogenesis of Immune-Mediated Diseases)

Abstract

Objective. Ankylosing spondylitis (AS) is a chronic inflammatory disease of the axial skeleton. Early and accurate diagnosis is necessary for the timely and effective treatment of this disease and its common complications. Lipid metabolites form various kinds of bioactive molecules that regulate the initiation and progression of inflammation. However, there are currently few studies that investigate the alteration of serum lipid in AS patients. Methods. Blood samples were collected from 115 AS patients and 108 healthy controls (HCs). Serum-untargeted lipidomics were performed using ultrahigh-performance liquid chromatography coupled with Q-Exactive spectrometry, and the data were determined by multivariate statistical methods to explore potential lipid biomarkers. Results. Lipid phenotypes associated with disease activity were detected in the serum of patients with AS. Of all 586 identified lipids, there are 297 differential lipid metabolites between the AS and HC groups, of which 15 lipid metabolites are significant. In the AS groups, the levels of triacylglycerol (TAG) (18:0/18:1/20:0) were increased, and the levels of phosphatidylcholine (PC) (16:0e/26:4) and PC (18:1/22:6) were decreased. The areas under the receiver operating characteristic curve (AUC) of TAG (18:0/18:1/20:0), PC (16:0e/26:4), and PC (18:1/22:6) were 0.919, 0.843, and 0.907, respectively. Conclusion. Our findings uncovered that lipid deregulation is a crucial hallmark of AS, thereby providing new insights into the early diagnosis of AS.
Keywords: lipidomics; ankylosing spondylitis; biomarkers; disease activity; UPLC-Q-Exactive lipidomics; ankylosing spondylitis; biomarkers; disease activity; UPLC-Q-Exactive

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MDPI and ACS Style

Li, Z.; Gu, W.; Wang, Y.; Qin, B.; Ji, W.; Wang, Z.; Liu, S. Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease. Biomedicines 2023, 11, 47. https://doi.org/10.3390/biomedicines11010047

AMA Style

Li Z, Gu W, Wang Y, Qin B, Ji W, Wang Z, Liu S. Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease. Biomedicines. 2023; 11(1):47. https://doi.org/10.3390/biomedicines11010047

Chicago/Turabian Style

Li, Zhengjun, Wanjian Gu, Yingzhuo Wang, Bin Qin, Wei Ji, Zhongqiu Wang, and Shijia Liu. 2023. "Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease" Biomedicines 11, no. 1: 47. https://doi.org/10.3390/biomedicines11010047

APA Style

Li, Z., Gu, W., Wang, Y., Qin, B., Ji, W., Wang, Z., & Liu, S. (2023). Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease. Biomedicines, 11(1), 47. https://doi.org/10.3390/biomedicines11010047

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