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Abstract Number: 128

Metabolomics Analysis Identifies Biomarkers for APS and Suggests a Potential New Pathway Related to APS Pathogenesis

Chun Li 1, Yu Zuo2, Jason Knight 3, Juan Feng 4, Xian Wang 4, David Karp 5 and Zhanguo Li 6, 1Peking Univerisity People's Hospital, Beijing, China (People's Republic), 2University of Texas Southwestern, Dallas, TX, 3Division of Rheumatology, Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, 4Peking University School of Basic Medical Science, Beijing, China (People's Republic), 5UTSouthwestern Medical Center, Dallas, TX, 6People's Hospital, Beijing University Medical School, Beijing, China (People's Republic)

Meeting: 2019 ACR/ARP Annual Meeting

Keywords: Antiphospholipid antibodies, antiphospholipid syndrome, metabolomics and NETosis

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Session Information

Date: Sunday, November 10, 2019

Title: Antiphospholipid Syndrome Poster

Session Type: Poster Session (Sunday)

Session Time: 9:00AM-11:00AM

Background/Purpose: The metabolic disturbances that underlie antiphospholipid syndrome (APS) are currently unknown. The goal of this study was to utilize high-throughput metabolomics screening to identify new biomarkers and dysregulated pathways in primary APS patients.

Methods: Fasting serum samples were collected from 20 primary APS patients and 17 healthy controls. High-throughput metabolomics screening of 247 small molecule metabolites were performed via gas chromatography-coupled mass spectrometry. Multiple variate analysis, principal components analysis, partial least squares discriminant analysis (PLS-DA), and pathway analysis were completed. SYTOX Green NETosis assay was performed utilizing freshly-prepared healthy donor neutrophils with various stimulants including normal human IgG, polyclonal antiphospholipid antibodies (aPL), sphingosine-1 phosphate (S1P), and polyclonal aPL plus various concentrations of S1P.

Results: 50 circulating small molecule metabolites were significantly different between primary APS patients and healthy controls. PLS-DA modeling was performed and demonstrated a clear separation between primary APS patients and healthy controls (Figure 1). 15 metabolic molecules that contributed most to the differentiation of primary APS patients and the healthy controls (assessed by variable importance on projection score) had the highest potential to be clinically relevant biomarkers. Pathway analysis revealed that sphingosine metabolism was the most enriched pathway among primary APS patients. Sphingosine metabolism plays paramount roles in membrane biology and provides many bioactive metabolites that regulate cellular function. To further elucidate the role of sphingosine metabolism in APS, we examined the effect of S1P (a product of sphingosine metabolism) on aPL-mediated neutrophil extracellular trap release (NETosis). aPL-mediated NETosis was significantly potentiated by S1P. Importantly, S1P had no impact on NETosis in the absence of aPL (Figure 2).

Conclusion: This study identified metabolomic differences in the serum of primary APS patients and healthy controls. One of the most significant pathways was sphingolipid metabolism. One product of this pathway is S1P, implicated in immunological pathology. The ability of this compound to augment aPL in provoking NETosis suggests a potential role of S1P/S1PR axis in APS pathogenesis.


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Disclosure: C. Li, None; Y. Zuo, None; J. Knight, None; J. Feng, None; X. Wang, None; D. Karp, None; Z. Li, None.

To cite this abstract in AMA style:

Li C, Zuo Y, Knight J, Feng J, Wang X, Karp D, Li Z. Metabolomics Analysis Identifies Biomarkers for APS and Suggests a Potential New Pathway Related to APS Pathogenesis [abstract]. Arthritis Rheumatol. 2019; 71 (suppl 10). https://acrabstracts.org/abstract/metabolomics-analysis-identifies-biomarkers-for-aps-and-suggests-a-potential-new-pathway-related-to-aps-pathogenesis/. Accessed .
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