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Abstracts of the Scientific Posters, 2013 AACC Annual Meeting ...

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Technology/Design Development<br />

Wednesday, July 31, 9:30 am – 5:00 pm<br />

Samples: The serum and plasma samples were collected from inpatients/outpatients<br />

and <strong>the</strong> employees who volunteered. This study has been approved by <strong>the</strong> ethical<br />

committee in Hamamatsu University School <strong>of</strong> Medicine.<br />

Material and Method: The reagent PANACLEAR MMP-3 “Latex” (Sekisui Medical<br />

Co., Ltd.) and <strong>the</strong> automated clinical chemistry analyzer LABOSPECT 008 (Hitachi)<br />

were used for <strong>the</strong> following evaluations: (1) precision, (2) dilution linearity (2 level <strong>of</strong><br />

MMP-3 samples were diluted with physiological saline) and limit <strong>of</strong> detection (2.6SD<br />

method), (3) interference (evaluated with Interference Check (Sysmex) and ascorbic<br />

acid), (4) correlation with results from JCA-BM1650 (JEOL Ltd.), and (5) probe<br />

contamination test (evaluated on 42 parameters <strong>of</strong> <strong>the</strong> same pre-installed module).<br />

Results: (1) Within-run precision <strong>of</strong> CV (n=20) :1.35 % (Control L; mean 110.9 ng/<br />

mL), 0.78 % (Control H; mean 435.4 ng/mL ), 1.62 % (pooled serum; mean 99.2 ng/<br />

mL) (2) Linearity was up to 1500 ng/mL and limit <strong>of</strong> detection was 9.85 ng/mL. (3)<br />

No influences were observed by bilirubin < 200 mg/L, hemoglobin < 5 g/L, RF < 550<br />

U/mL or ascorbic acid < 500 mg/L in sample. (4) High correlation was noted, with <strong>the</strong><br />

regression formula being y = 0.991x-13.9 and <strong>the</strong> correlation coefficient being 0.985<br />

(N=92). (5) Probe contamination test: No influence by prove contamination test was<br />

noted on any <strong>of</strong> <strong>the</strong> 42 parameters.<br />

Conclusion: PANACLEAR MMP-3 “Latex” with LABOSPECT 008 was shown in<br />

<strong>the</strong> present study as having favorable performance. Wide assay range with linearity<br />

up to 1500 ng/ml is especially convenient because high level MMP-3 samples don’t<br />

require dilution and retesting. Additionally, in couple with LABOSPECT 008, routine<br />

measurement <strong>of</strong> MMP-3 could be easily handled, and real-time reporting could lead<br />

to clinical remission. This reagent could be useful for measuring MMP-3 in clinical<br />

laboratories.<br />

B-255<br />

GlycA and GlycB: Novel NMR Markers <strong>of</strong> Systemic Inflammation<br />

J. Otvos, I. Shalaurova, J. Wolak-Dinsmore, S. Matyus. LipoScience,<br />

Raleigh, NC<br />

Background: Serum concentrations <strong>of</strong> many glycosylated acute-phase proteins such<br />

as C-reactive protein (CRP) and fibrinogen are used clinically to assess and monitor<br />

both acute and chronic inflammation. Serum NMR spectra obtained for lipoprotein<br />

particle analysis using <strong>the</strong> automated NMR Pr<strong>of</strong>iler system contain two NMR signals<br />

originating from N-acetyl methyl group protons on <strong>the</strong> N- and O-linked glycans <strong>of</strong><br />

serum glycoproteins. One, that we named GlycA, comes from N-acetylglucosamine<br />

and N-acetylgalactosamine and <strong>the</strong> o<strong>the</strong>r, GlycB, from sialic acid moieties. We<br />

hypo<strong>the</strong>sized that <strong>the</strong> measured amplitudes <strong>of</strong> <strong>the</strong>se signals would reflect global<br />

protein glycosylation levels, <strong>the</strong>reby providing measures <strong>of</strong> inflammation status<br />

that might have clinical utility similar or complementary to existing inflammatory<br />

biomarkers.<br />

Methods: We used archived serum NMR spectra from previously-performed<br />

automated NMR LipoPr<strong>of</strong>ile (lipoprotein particle) analyses conducted using <strong>the</strong> 400<br />

MHz NMR Pr<strong>of</strong>iler analyzers at LipoScience. As shown in <strong>the</strong> Figure, <strong>the</strong> GlycA<br />

and GlycB signals overlap <strong>the</strong> complex signal envelope from <strong>the</strong> allylic protons<br />

<strong>of</strong> <strong>the</strong> lipids in VLDL, LDL, and HDL particles. To accurately quantify <strong>the</strong>ir<br />

signal amplitudes, we developed an automated linear non-negative least-squares<br />

deconvolution algorithm that takes account <strong>of</strong> <strong>the</strong> spectral contributions <strong>of</strong> serum<br />

protein and 59 different lipoprotein subclasses. GlycA and GlycB levels are reported<br />

in units <strong>of</strong> μmol/L N-acetyl methyl groups.<br />

Results: GlycA and GlycB levels were measured with good precision (0.97). With <strong>the</strong><br />

automation <strong>the</strong> %CVs <strong>of</strong> all three concentration levels were

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