Human milliplex map kits

Manufactured by Merck Group

The Human Milliplex MAP kits are multiplex assays used for the quantitative measurement of multiple human analytes in a single sample. These kits utilize Luminex xMAP technology to simultaneously detect and quantify a variety of target proteins.

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Lab products found in correlation

Glucose hexokinase method, by Roche (2 mentions) Autodelfia, by PerkinElmer (1 mentions)

Spelling variants of this product

Milliplex Map Kit (358 citations) MILLIPLEX MAP (123 citations) Milliplex kit (114 citations) MILLIPLEX MAP human circulating cancer biomarker magnetic bead panel kits (2 citations) Milliplex MAP Human Adipokine Magnetic Bead Panel 1 and Panel 2 kits (2 citations) MILLIPLEX MAP Human RANKL kits (2 citations) Milliplex MAP kits (human high-sensitivity HS TCMAG-28K kit (2 citations)

5 protocols using human milliplex map kits

Glucose, Insulin, and C-peptide Measurements

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In Gen3G, we measured glucose levels fasting and at 60 and 120 min after oral glucose administration using the hexokinase method (Roche Diagnostics, Indianapolis, IN). Insulin and C-peptide levels were measured at the same time points using multiplexed particle-based flow cytometric assays (Human Milliplex MAP kits; EMD Millipore).
In HAPO, glucose (fasting and at 60- and 120-min postglucose load) and C-peptide (fasting and at 60-min postglucose load) were measured in a central laboratory using a chemical analyzer (VITROS 750; Ortho Clinical Diagnostics) and immunoassay (AutoDELFIA; PerkinElmer), respectively (20 (link)).
In Gen3G, the Stumvoll first-phase estimate was used to estimate insulin secretion, and the Matsuda index was used to estimate insulin sensitivity (the opposite of insulin resistance) (21 (link),22 (link)). In both cohorts, insulin sensitivity was also assessed using a C-peptide–based measurement derived in the HAPO study (23 (link)).

Powe C.E., Nodzenski M., Talbot O., Allard C., Briggs C., Leya M.V., Perron P., Bouchard L., Florez J.C., Scholtens D.M., Lowe WL J.r, & Hivert M.F. (2018). Genetic Determinants of Glycemic Traits and the Risk of Gestational Diabetes Mellitus. Diabetes, 67(12), 2703-2709.

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Plasma PAI-1 Quantification in Children

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Blood samples were collected from the brachial vein from children aged 5 years in a fasting state. Blood plasma was immediately separated from the children’s blood using a laboratory centrifuge and put into aliquots stored at −80 °C until PAI-1 measurements were taken. Plasma PAI-1 levels were then quantified using a multiplexed particle-based flow cytometric assay (Human Milliplex map kits, EMD Millipore). Intra- and inter-assay coefficients of variation were <10% and <15%, respectively.

Taschereau A., Desgagné V., Faleschini S., Guérin R., Allard C., Perron P., Hivert M.F, & Bouchard L. (2022). SERPINE1 DNA Methylation Levels Quantified in Blood Cells at Five Years of Age Are Associated with Adiposity and Plasma PAI-1 Levels at Five Years of Age. International Journal of Molecular Sciences, 23(19), 11833.

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Assessing Maternal Metabolic Profile

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In plasma samples collected between 24th and 29th week of pregnancy, we measured glucose and insulin levels using glucose hexokinase method (Roche Diagnostics) and Human Milliplex map kits (EMD Millipore, catalog no HMHEMAG-34K), respectively,14 (link) as well as total cholesterol, high-density lipoprotein cholesterol (HDL-C) and triglyceride levels using colorimetric methods (Johnson & Johnson Clinical Diagnostics). We estimated IS with the Matsuda Index using the formula: 10 000/√((fasting glucose×fasting insulin)×(mean glucose×mean insulin during OGTT)),16 (link) with concentrations in glucose and insulin being expressed as mg/dL and µU/mL.17 (link) We excluded from the analyses participants for which data were missing for the Matsuda Index (n=15). We computed low-density lipoprotein cholesterol (LDL-C) concentration with the Friedewald’s equation.14 (link)

Légaré C., Desgagné V., Poirier C., Thibeault K., White F., Clément A.A., Scott M.S., Jacques P.É., Perron P., Guérin R., Hivert M.F, & Bouchard L. (2022). First trimester plasma microRNAs levels predict Matsuda Index-estimated insulin sensitivity between 24th and 29th week of pregnancy. BMJ Open Diabetes Research & Care, 10(2), e002703.

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Insulin Sensitivity Assessment in Pregnant Women

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We measured glucose by the glucose hexokinase method (Roche Diagnostics) immediately after collection and insulin using multiplexed particle-based flow cytometric assays (Human MILLIPLEX map kits, EMD Millipore) from plasma samples previously frozen (−80°C). We estimated insulin sensitivity using the Matsuda index, given by the following equation: 10,000/ (√[(fasting glucose × fasting insulin) × (mean glucose during OGTT × mean insulin during OGTT)]) (7 (link)). We selected the Matsuda index over other measures of insulin sensitivity because it has been validated against euglycemic-hyperinsulinemic clamps in pregnant women (7 (link)).

Hivert M.F., Cardenas A., Allard C., Doyon M., Powe C.E., Catalano P.M., Perron P, & Bouchard L. (2020). Interplay of Placental DNA Methylation and Maternal Insulin Sensitivity in Pregnancy. Diabetes, 69(3), 484-492.

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Rapid Plasma Biomarker Quantification

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We performed blood draws, then rapidly processed samples and prepared aliquots of plasma. We measured glucose levels via the hexokinase method (Roche Diagnostics; CHUS biochemistry laboratory) as soon as samples were collected. We measured HbA1c, cholesterol, HDL (high-density lipoprotein), and triglyceride at the CHUS biochemistry lab. We stored additional samples at −80°C until we performed biomarker measurements. At that point aliquots were thawed, and then centrifuged at 6000 × g for 10 minutes at 4°C. We measured insulin and C-peptide levels via multiplexed particle-based flow cytometric assays (Human Milliplex MAP kits; EMD Millipore) from the previously frozen plasma samples.

Ghildayal N., Allard C., Blais K., Doyon M., Arguin M., Bouchard L., Perron P, & Hivert M.F. (2022). Associations of maternal insulin sensitivity during pregnancy with childhood central adiposity in the Genetics of Glucose regulation in Gestation and Growth cohort. Pediatric obesity, 18(2), e12982.

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