Authors
Mohammad Yaser Anwar, Heather M Highland, Alexandra B Palmer, Thy Duong, Zhaotong Lin, Wanying Zhu, Jessica Sprinkles, Daeeun Kim, Kristin L Young, Hung-Hsin Chen, Mohanraj Krishnan, Absalon Gutierrez, Rashedeh Roshani, Elizabeth G Frankel, Joshua Landman, Penny Gordon-Larsen, Susan K Fried, Miryoung Lee, Susan P Fisher-Hoch, Joseph B McCormick, Joanne Curran, John Blangero, Peter J Meikle, Corey Giles, Jennifer E Below, Kari E North, Mariaelisa Graff
Published in
iScience. Volume 29. Issue 11. Pages 117801. Nov 20, 2026. Epub Oct 08, 2026.
Abstract
Severe obesity (SevO; BMI ≥ 40 kg/m2) is rising globally yet remains understudied mechanistically. To characterize lipidomic alterations at the species level, we analyzed Border Health Research Cohort participants with fasting plasma lipidomics and genetic data, comparing SevO (n = 185) to non-obese controls (18.5 ≥ BMI < 25; n = 393). We quantified 830 lipid species across 49 classes and assessed associations using logistic regression, orthogonal projections to latent structures discriminant analysis (OPLS-DA), and network deconvolution Mendelian randomization (NDMR). SevO participants showed more adverse cardiometabolic traits. Lipidomics revealed broad dysregulation: shorter, saturated, and monounsaturated triacylglycerols were elevated in individuals living with SevO compared to controls, while lysophospholipids, plasmalogens, cholesteryl esters, and long-chain species were reduced. OPLS-DA identified over 300 lipids strongly predictive of SevO, and NDMR implicated specific triacylglycerols as potentially contributing to SevO status. Influential lipids correlated with insulin resistance, liver fat, body composition, and high-density lipoprotein cholesterol (HDL-C). Short-chain triacylglycerols emerged as a distinctive, consistently elevated SevO signature.
PMID:
42898103
Bibliographic data and abstract were imported from PubMed on 20 Oct 2026.
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