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Lipid mediators and biomarkers associated with type 1 diabetes development
Alexander J. Nelson, Daniel J. Stephenson, Robert N. Bone, Christopher L. Cardona, Margaret A. Park, Ying G. Tusing, Xiaoyong Lei, George Kokotos, Christina L. Graves, Clayton E. Mathews, Joanna Kramer, Martin J. Hessner, Charles E. Chalfant, Sasanka Ramanadham
Alexander J. Nelson, Daniel J. Stephenson, Robert N. Bone, Christopher L. Cardona, Margaret A. Park, Ying G. Tusing, Xiaoyong Lei, George Kokotos, Christina L. Graves, Clayton E. Mathews, Joanna Kramer, Martin J. Hessner, Charles E. Chalfant, Sasanka Ramanadham
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Research Article Endocrinology Inflammation

Lipid mediators and biomarkers associated with type 1 diabetes development

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Abstract

Type 1 diabetes (T1D) is a consequence of autoimmune β cell destruction, but the role of lipids in this process is unknown. We previously reported that activation of Ca2+-independent phospholipase A2β (iPLA2β) modulates polarization of macrophages (MΦ). Hydrolysis of the sn-2 substituent of glycerophospholipids by iPLA2β can lead to the generation of oxidized lipids (eicosanoids), pro- and antiinflammatory, which can initiate and amplify immune responses triggering β cell death. As MΦ are early triggers of immune responses in islets, we examined the impact of iPLA2β-derived lipids (iDLs) in spontaneous-T1D prone nonobese diabetic mice (NOD), in the context of MΦ production and plasma abundances of eicosanoids and sphingolipids. We find that (a) MΦNOD exhibit a proinflammatory lipid landscape during the prediabetic phase; (b) early inhibition or genetic reduction of iPLA2β reduces production of select proinflammatory lipids, promotes antiinflammatory MΦ phenotype, and reduces T1D incidence; (c) such lipid changes are reflected in NOD plasma during the prediabetic phase and at T1D onset; and (d) importantly, similar lipid signatures are evidenced in plasma of human subjects at high risk for developing T1D. These findings suggest that iDLs contribute to T1D onset and identify select lipids that could be targeted for therapeutics and, in conjunction with autoantibodies, serve as early biomarkers of pre-T1D.

Authors

Alexander J. Nelson, Daniel J. Stephenson, Robert N. Bone, Christopher L. Cardona, Margaret A. Park, Ying G. Tusing, Xiaoyong Lei, George Kokotos, Christina L. Graves, Clayton E. Mathews, Joanna Kramer, Martin J. Hessner, Charles E. Chalfant, Sasanka Ramanadham

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Figure 3

NOD.iPLA2β+/– genotype and diabetes phenotype.

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NOD.iPLA2β+/– genotype and diabetes phenotype.
(A) Genotype. DNA was gen...
(A) Genotype. DNA was generated from tail clips and progeny were genotyped by PCR analyses. Reactions were performed in the presence of primers for the WT sequence (NOD) or for the disrupted sequence (NOD-HET) for each mouse. The expected bands for the WT (1400 bp) and HET (1400 and 400 bp) in 2 mice each are presented. L, bp ladder. (B) T1D incidence. Blood glucose was monitored weekly for up to 30 weeks, and 2 consecutive readings of ≥ 275 mg/dL were recorded as onset of diabetes (n = 12 and 17 for NOD and NOD-HET groups, respectively). NOD-HET significantly different from NOD; ¥P < 0.001. (C) RNA was isolated from NOD (n = 3) and NOD-HET (n = 3) macrophages and cDNA prepared for iPLA2β mRNA analyses by qPCR. (D) Production of TNF-α by CD4+ T cells. Splenocytes were prepared from the NOD and NOD-HET, and CD4+ T cells were isolated and activated, as described in Methods. The media was collected at 72 hours, and TNF-α concentration was determined by ELISA (n = 3 per group). (E) RNA was isolated from NOD (n = 3) and NOD-HET (n = 3) macrophages and cDNA prepared for Arg1. Statistical analyses: (B) Mantel-Cox test; (C–E) Student’s t test.

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