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Orthogonal analytical approaches to detect potential contaminants in heparin.

ABSTRACT: Heparin is a widely used anticoagulant and antithrombotic agent. Recently, a contaminant, oversulfated chondroitin sulfate (OSCS), was discovered within heparin preparations. The presence of OSCS within heparin likely led to clinical manifestations, most prevalently, hypotension and abdominal pain leading to the deaths of several dozens of patients. Given the biological effects of OSCS, one continuing item of concern is the ability for existing methods to identify other persulfonated polysaccharide compounds that would also have anticoagulant activity and would likely elicit a similar activation of the contact system. To complete a more extensive analysis of the ability for NMR and capillary electrophoresis (CE) to capture a broader array of potential contaminants within heparin, we completed a systematic study of NMR, both mono- and bidimensional, and CE to detect both various components of sidestream heparin and their persulfonated derivatives. We show that given the complexity of heparin samples, and the requirement to ensure their purity and safety, use of orthogonal analytical techniques is effective at detecting an array of potential contaminants that could be present.

SUBMITTER: Guerrini M

PROVIDER: S-EPMC2749844 | biostudies-literature | 2009 Oct

REPOSITORIES: biostudies-literature

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Orthogonal analytical approaches to detect potential contaminants in heparin.

Guerrini Marco M Zhang Zhenqing Z Shriver Zachary Z Naggi Annamaria A Masuko Sayaka S Langer Robert R Casu Benito B Linhardt Robert J RJ Torri Giangiacomo G Sasisekharan Ram R

Proceedings of the National Academy of Sciences of the United States of America 20090923 40

Heparin is a widely used anticoagulant and antithrombotic agent. Recently, a contaminant, oversulfated chondroitin sulfate (OSCS), was discovered within heparin preparations. The presence of OSCS within heparin likely led to clinical manifestations, most prevalently, hypotension and abdominal pain leading to the deaths of several dozens of patients. Given the biological effects of OSCS, one continuing item of concern is the ability for existing methods to identify other persulfonated polysacchar ...[more]

PMID: 19805108

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Project description:BackgroundLongitudinal phenotypic data provides a rich potential resource for genetic studies which may allow for greater understanding of variants and their covariates over time. Herein, we review 3 longitudinal analytical approaches from the Genetic Analysis Workshop 19 (GAW19). These contributions investigated both genome-wide association (GWA) and whole genome sequence (WGS) data from odd numbered chromosomes on up to 4 time points for blood pressure-related phenotypes. The statistical models used included generalized estimating equations (GEEs), latent class growth modeling (LCGM), linear mixed-effect (LME), and variance components (VC). The goal of these analyses was to test statistical approaches that use repeat measurements to increase genetic signal for variant identification.ResultsTwo analytical methods were applied to the GAW19: GWA using real phenotypic data, and one approach to WGS using 200 simulated replicates. The first GWA approach applied a GEE-based model to identify gene-based associations with 4 derived hypertension phenotypes. This GEE model identified 1 significant locus, GRM7, which passed multiple test corrections for 2 hypertension-derived traits. The second GWA approach employed the LME to estimate genetic associations with systolic blood pressure (SBP) change trajectories identified using LCGM. This LCGM method identified 5 SBP trajectories and association analyses identified a genome-wide significant locus, near ATOX1 (p = 1.0E(-8)). Finally, a third VC-based model using WGS and simulated SBP phenotypes that constrained the β coefficient for a genetic variant across each time point was calculated and compared to an unconstrained approach. This constrained VC approach demonstrated increased power for WGS variants of moderate effect, but when larger genetic effects were present, averaging across time points was as effective.ConclusionIn this paper, we summarize 3 GAW19 contributions applying novel statistical methods and testing previously proposed techniques under alternative conditions for longitudinal genetic association. We conclude that these approaches when appropriately applied have the potential to: (a) increase statistical power; (b) decrease trait heterogeneity and standard error;

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Orthogonal analytical approaches to detect potential contaminants in heparin.

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Orthogonal analytical approaches to detect potential contaminants in heparin.

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