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Ra1000 autoanalyzer

Manufactured by Bayer
Sourced in United Kingdom

The RA1000 autoanalyzer is a laboratory instrument designed for automated chemical analysis. It is capable of performing various types of diagnostic tests, including clinical chemistry, immunoassays, and coagulation studies. The core function of the RA1000 is to automate the analytical process, allowing for efficient and consistent sample processing and data generation.

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3 protocols using ra1000 autoanalyzer

1

Fasting Biomarkers in Health Assessment

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Fasting blood concentrations of vitamin D (25(OH) D), triglycerides (TG), total cholesterol (TC), HDL cholesterol (HDL-c), LDL cholesterol (LDL-c), fasting blood glucose (FBG), HbA1c, HOMA-IR, and PTH were the secondary outcomes. Serum concentrations of (25(OH) D) were completed using radioimmunoassay (DiaSorin, Stillwater, MN, USA); inter-assay CV <8% and intra-essay CV ∼4.9%. Our laboratory normal values for (25(OH) D) are 33–90 ng/mL. Hypovitaminosis is identified with a result <20 ng/mL (taking IOM references). TG, TC, HDL-c and LDL-c were measured enzymatically using a RA1000 autoanalyzer (Bayer Diagnostics, Suffolk, UK). FBG was accomplished through a hexokinase assay on blood transferred into specific tubes that are fluoridated; inter-assay CV 1.8% at 6.6 mmol/L. The hexokinase method, established by the American Association for Clinical Chemistry, is used most extensively in clinical research, and has been recognized as the reference method to assess blood glucose [32 (link),33 (link)]. The values of HbA1c were evaluated using a Roche, Cobas 8000 (C701 and C702) analyzer. Insulin resistance (IR) was calculated by the homeostasis model assessment of insulin resistance using the following formula: HOMA-IR = [insulin (mU/L) × glucose (mg/dL)]/22.5. PTH was assessed by immunoradiometric assay (a two side one) including a NH2-terminal antibody meant for conservation.
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2

Comprehensive Lipid Profiling Protocol

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Nonfasting blood samples were taken at baseline and serum levels of total cholesterol, HDL-C and triglycerides were measured on fresh samples with the RA 1000 autoanalyzer (Bayer Diagnostics, Basingstoke, United Kingdom), or stored at -80 °C. LDL-cholesterol levels were calculated with the Friedewald formula. Remnant cholesterol was calculated as total cholesterol minus LDL-Cminus HDL-C, as previously described.21 (link) Lipoprotein subclass particle numbers and size were measured with an automated nuclear magnetic resonance spectroscopic assay as described previously.12 (link), 22 (link)
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3

Cardiometabolic Risk Score Measurement

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Trained research staff measured height, weight and waist circumference according to standardised procedures (Hayat et al., 2014 (link)). Systolic and diastolic blood pressure were measured in duplicate using an Accutorr sphygmomanometer (Datascore, UK) after three minutes of sitting, with the average taken. The non-fasting venous blood sample was examined for serum triglycerides (TG), total cholesterol (TC), and high-density lipoprotein cholesterol (HDL-C) using an RA1000 autoanalyzer (Bayer Diagnostics, UK). Glycated haemoglobin (HbA1c) was measured using Diamat ion exchange HPLC (Bio-Rad Laboratories, UK). A continuously distributed CMR score was computed using continuous indicators of waist circumference; blood pressure (average of systolic and diastolic); TG; TC:HDL-C; and, HbA1c. After log-normalisation of TG, TC:HDL-C and HbA1c, all five cardiometabolic variables were standardised [z = (value-mean)/SD)] in sex-specific strata. The CMR score was then calculated by summing all sex-standardised scores and dividing this sum by five. A higher CMR score indicates higher cardiometabolic disease risk. We confirmed face validity of this CMR score in the present population by examining its prospective association with incident cardiovascular disease, the risk of which was estimated to be 47% higher per 1 unit in the CMR score in a linear manner (see Supplemental Analysis S1).
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