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Synchron cx7 instrument

Manufactured by Beckman Coulter

The Synchron Cx7 is a clinical chemistry analyzer instrument designed for automated in-vitro diagnostic testing. It performs quantitative analysis of various analytes in biological samples such as blood, urine, or other bodily fluids. The instrument is capable of processing multiple samples simultaneously and provides accurate, reliable, and reproducible results.

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2 protocols using synchron cx7 instrument

1

Plasma Lipid and Glucose Biomarkers

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Blood samples were collected in the morning, after an overnight fast. Plasma total cholesterol (TC), HDL-C, TG and glucose concentrations were determined on a Beckman Synchron Cx7 instrument as previously described [43 (link),44 (link)]. Apolipoprotein (apo) A-I and apo B were measured by nephelometry (Array Protein System; Beckman). The Friedewald equation was used to calculate low-density lipoprotein-cholesterol (LDL-C). Plasma insulin concentration was determined with the ultrasensitive Access® immunoassay system (Beckman Coulter, Inc.), which has no cross-reactivity with proinsulin or C-peptide. Plasma free fatty acids (FFA) concentrations were quantified by an enzymatic colorimetric method (Wako Chemicals).
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2

Lipid and Metabolic Biomarkers in Children

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Blood samples were collected in the morning, after an overnight fast. Plasma total cholesterol (TC), HDL-C, TG, and glucose concentrations were determined on a Beckman Synchron Cx7 instrument as previously described (18) . Apolipoprotein (apo) A-I and apo B were measured by nephelometry (Array Protein System; Beckman). The Friedewald equation was used to calculate LDL-C. Plasma insulin concentrations were determined with the ultrasensitive Access immunoassay system (Beckman Coulter, Brea, CA, USA), which has no cross-reactivity with proinsulin or C-peptide. Plasma FFA concentrations were quantified by an enzymatic colorimetric method (Wako Chemicals, Richmond, VA, USA). Plasma LTF was measured using a commercial ELISA kit (AssayPro, St Charles, MO) in a sample of 176 children aged 9, 13, and 16 years, selected according to their extreme HDL-C values in order to detect the largest effect.
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