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Statistical analysis of the data was accomplished to investigate the distribution of the subject analyte in soil.
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Cells were washed swiftly with deionized water and subjected to analyte extraction as described above.
Cluster 1 consisted of 64% of CRPS subjects and demonstrated analyte values similar to the healthy control individuals.
Most analytes had far fewer samples included due to issues with sample volume or test availability (Tables 1 and 2), but the number of subjects tested for each analyte was within the sample size (N = 120) suggested by CLSI.[8] The gender distribution was 20% female and 80% male and the median age was 23 years (male:24, female:20), with a range of 18 to 56.
The levels of 89 cytokines were measured in serum from a subset of subjects by Multi-Analyte Profiling (MAP) immunoassays.
A general limitation of our study centers on the fact that the overall number of subjects and inflammatory analytes studied was relatively low in both humans and swine.
Immunoassays involving sample incubation followed by a wash step prior to introduction of labeled analyte are potentially subject to both positive and negative interference (bidirectional interference) by a competing ligand.
Anthropometric, blood pressure recording, blood sampling and analyte measurements were subject to similar standardisation as used in Taiwan.
Differences in mean plasma analyte concentrations between subjects with different UCP3 genotypes or diabetic status were initially evaluated using unpaired Student's t-tests with multiple comparison adjustments made using the method of Benjamini and Hochberg [34].
The 'signal-to-noise' values for the angiogenesis-associated analytes are the subject of ongoing investigation.
For subjects where concentrations (of any analyte) throughout the sampling period were below the LLOQ, a value of one-half of the LLOQ was substituted for Cmax and a value representing the AUC resulting from a concentration of one-half of the LLOQ during 1 h was substituted for AUC.
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