Neil Geoghagen

Publications (2)5.22 Total impact

• Article: Comparison of lipoprotein separation and lipid analysis methodologies for human and cynomolgus monkey plasma samples.

  Seongah Han, Amy M Flattery, David McLaren, Richard Raubertas, Sang Ho Lee, Vivienne Mendoza, Ray Rosa, Neil Geoghagen, Jose M Castro-Perez, Thomas P Roddy, Gail Forrest, Douglas Johns, Brian K Hubbard, Jing Li
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  ABSTRACT: To assess cardiovascular risk in both clinical and basic research settings, it is imperative to be able to accurately measure plasma lipid levels. Here, methods commonly used to measure lipoproteins and lipids: ultracentrifugation (UC), fast protein liquid chromatography (FPLC), Roche auto-analyzer, and enzymatic assays were tested and compared. Plasma samples from 20 healthy humans and 22 cynomolgus monkeys were analyzed for their total cholesterol (TC), cholesterol in low density lipoproteins (LDL) and high density lipoproteins (HDL), and triglycerides (TG). Major lipid classes from UC and FPLC separated lipoprotein fractions from human plasma were further characterized by liquid chromatography-mass spectrometry analysis. All the tested methods showed acceptable performance with Roche analyzer among the best in approximate dilution linearity and recovery for most lipids as well as in repeatability between measurements of the same samples. TC, LDL, HDL, and TG values measured in human vs. monkey were-183.9 ± 35.5 (mean ± SD) vs. 105.6 ± 24.6 mg/dl, 106.0 ± 30.1 vs. 42.8 ± 13.0 mg/dl, 50.0 ± 11.4 vs. 53.4 ± 14.8 mg/dl, and 107.6 ± 50.7 vs. 58.0 ± 52.3 mg/dl. While no single method was uniformly the best, we recommend the Roche analyzer for routine measurements. UC or FPLC separation is needed for further functional characterization for specific lipid fraction. We have shown athero-protective profile in cynomolgus monkey compared with humans.
  Journal of Cardiovascular Translational Research 12/2011; 5(1):75-83. · 2.61 Impact Factor
• Article: Validation of human ApoB and ApoAI immunoturbidity assays for non-human primate dyslipidemia and atherosclerosis research.

  Zhu Chen, Alison M Strack, Alice C Stefanni, Ying Chen, Weizhen Wu, Yi Pan, Olga Urosevic-Price, Li Wang, Theresa McLaughlin, Neil Geoghagen, Michael E Lassman, Thomas P Roddy, Kenny K Wong, Brian K Hubbard, Amy M Flattery
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  ABSTRACT: Emerging evidence suggests apolipoprotein B (apoB) and apolipoprotein AI (apoAI) are strong risk predictors for atherosclerosis. Non-human primates (NHP), including rhesus monkeys, cynomolgus monkeys, and African green monkeys, are important preclinical species for studying dyslipidemia and atherosclerosis as they more closely resemble humans in lipid metabolism and disease physiology compared to lower species such as rodents. However, no commercial assays are currently available for measuring apoB and apoAI in NHP. We therefore evaluated analytical methods for routinely measuring apoB and apoAI in our NHP dyslipidemia and atherosclerosis research. Since NHP apoB and apoAI sequences are likely highly similar to human, we focused on the clinically validated and widely utilized human apoB and apoAI immunoturbidity assays. We carried out technical validation of these assays with NHP samples and leveraged orthogonal technical platforms including mass spectrometry, independent ELISA assay, and absolute quantitation via SDS-PAGE for further characterization. Analysis of purified lipoproteins demonstrated that the immunoturbidity assays detect NHP apoAI and apoB, with good dilution linearity and spike recovery from NHP plasma. Orthogonal studies showed apoAI correlated with protein concentration and apoB levels correlated with LC/MS and an independent ELISA. NHP samples from a drug treatment study were analyzed with the immunoturbidity assays and levels of apoB and apoAI fit our understanding of biology and expectations from literature. These studies serve as important technical and biological validation of the immunoturbidity assays for NHP samples, and demonstrate that these assays provide a high-throughput, fully automated analytical platform for NHP samples. Our studies pave the way for future translational research in NHP for developing therapies for treating dyslipidemia and atherosclerosis.
  Journal of Cardiovascular Translational Research 03/2011; 4(3):373-83. · 2.61 Impact Factor