development of a magnetic bead-based multiplex immunoassay … · 2010. 7. 7. · fig. 1. multiplex...

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Bulletin 6000 Rev A 10-0793 0610 Table 2. Assay working range, sensitivity, and precision. Targets LLOQ ULOQ LOD Intra-assay %CV Inter-assay %CV Adiponectin* 38.0 62,043 8.4 4 3 8-Plex Assays Ghrelin 3.1 7,296 0.8 5 4 GIP 13.4 14,999 2.3 4 10 GLP-1 3.4 1,969 0.8 6 11 Glucagon 24.0 3,067 7.0 6 6 Insulin 93.4 47,815 22.0 6 4 Leptin 17.1 69,900 6.2 4 3 PAI-1 0.7 2,922 0.5 5 2 Resistin 125.9 257,870 32.0 4 4 The LLOQ, ULOQ, LOD, and inter-assay precision %CV are the mean data determined from three independent multiplex assays in a serum-based matrix. * Due to the different dilution scheme, adiponectin was assayed as a single assay. Abstract Obesity and diabetes are on the rise and constitute a series of complex metabolic disorders with complex interactions among multiple proteins and environmental factors. Murine diabetes and obesity models exist to study these disorders through the measurement of circulating metabolic biomarkers. A particular challenge posed by these animal models is the limited amount of sample. To address this issue we have developed a novel multiplex immunoassay that can simultaneously measure eight of the most commonly measured metabolic biomarkers (insulin, leptin, PAI-1, resistin, ghrelin, GIP, GLP-1 and glucagon), as well as a single immunoassay for adiponectin, which requires a higher sample dilution than the other targets. The method uses the Bio-Plex ® suspension array system, which is comprised of a flow-based 96-well fluorescent microplate assay reader integrated with specialized software. The Bio-Plex system uses an array of dye-coded microspheres to enable detection of multiple distinct analytes in as little as 12.5 µl of serum/plasma sample. The wash steps were automated using a Bio-Plex Pro wash station. The procedure for one plate was completed within 3 hours. The performance of the mouse metabolic biomarker assays were verified in three independent runs and found to be highly sensitive (LOD <0.5 to 179 pg/ml, depending on target), specific (<5% cross-reactivity), accurate (80–120% standard recovery), and precise (intra-assay <10% CV; inter-assay <15%). Sample linearity was good in both serum and plasma (R 2 = 0.87–1.0, depending on target) within assay range. Preliminary studies included simultaneous detection of eight circulating diabetes markers, and adiponectin, in normal and Type II diabetic mice. Results showed altered levels of key biomarkers in the disease state samples relative to the levels in the normal population. Furthermore, these metabolic biomarker immunoassays were found to be compatible for multiplexing with similar immunoassays for cytokines (i.e. TNFa, IL-6) that are implicated in inflammatory disorders and cancer. Introduction This mouse diabetes assay was developed to test multiple metabolic biomarkers simultaneously in three most common matrices, serum, plasma, and cell culture media. The objective of the assay development was to verify assay performance parameters and native sample recognition in normal and disease mouse models. Method Multiplex sandwich immunoassays were developed on 6.5 µm magnetic microspheres using the Bio-Plex suspension array system. This system integrates a series of color-coded magnetic beads each of which is coupled to a unique antibody specific for a distinct biochemical marker. The assays were performed in flat-bottomed 96-well plates using an automated magnetic wash station for wash steps. Multiplexed standard antigen, samples diluted 1 to 4 in sample diluent, and blank standard diluent were tested in triplicate wells. The procedure was conducted as described in Figure 1. The standard curves and samples were analyzed by 5-PL and 4-PL regression analysis using Bio-Plex Manager software version 6.0. The assays and analysis were completed within 3 hours. Assay performance parameters for Bio-Plex Pro mouse diabetes and adiponectin assays were verified in three independent assays. Samples tested were serum and plasma (K 2 EDTA) collected from fed and fasted, normal (C57BL/6) and diabetic (DB/DB) mice. Specificity The assays are highly specific with ≤1% cross reactivity among targets. Cross-reactivity was calculated using the median fluorescence intensity (MFI) of multiplexed detection antibodies and capture antibody-coupled beads in the presence of a single antigen at the third highest concentration in the standard curve. Results Standard Response Curves Typical standard response curves of all nine analytes are shown in Figure 2. The standard analyte signal increases in proportion to increasing standard analyte concentrations over a 4 to 5 log range. Limits of Quantitation, Sensitivity, and Precision Overall assay performance was highly sensitive, accurate, and precise. The lower limit of quantitation (LLOQ), and upper limit of quantitation (ULOQ) values define the working assay range in which the assay is highly accurate (80–120% recovery) and precise (≤10% intra-assay CV). The lower limit of detection (LOD) is defined as the concentration obtained at the MFI that is 2-fold standard deviations above the background. Intra-assay precision was determined from the variance of MFI of three replicate wells for eight standard points. The mean intra-assay %CV of standard points within assay range is shown from one representative assay. The inter-assay %CV was measured from the coefficient of variation of observed concentrations of eight standard points for three independent assays. The mean inter-assay %CV was obtained from standard points within assay range (80–120% recovery). Linearity Linearity of dilution ensures that analytes present in concentrations within the assay range can be diluted and measured accurately for relative quantitation. The correlation coefficient (R 2 ) was determined by linear regression analysis of analytes measured in 3-fold serial dilutions of standard-spiked samples within assay range. Linearity (R 2 >0.99) was demonstrated in 3 matrices (mouse serum, plasma, and cell culture media) for all nine targets (Table 3). Parallelism Parallelism is necessary to reveal similar behaving sample matrix effects. Parallelism was demonstrated between spiked samples and standards with 4-PL curve slope differences <18% for all nine targets measured within assay range (Figure 3). Fig. 1. Multiplex immunoassay workflow. The multiplex bead-based suspension sandwich immunoassay is conducted and read within 3 hours using a flow-based 96-well fluorescent microplate assay reader integrated with software. SA-PE, Streptavidin-Phycoerythrin. Add beads Wash Add standards, controls, and samples, 60 min Wash Wash Wash Add detection antibody, 30 min Add SA-PE, 10 min Read on Bio-Plex suspension array system Fig. 2. Standard curves for Bio-Plex Pro mouse diabetes assay. 25,100 20,100 15,100 10,100 5,100 100 Fluorescence intensity 1 10 100 1,000 10,000 100,000 1,000,000 Concentration, pg/ml Ghrelin GIP GLP-1 Glucagon Insulin Leptin PAI-1 Resistin Adiponectin Sample Measurements within Standard Curve Range Results from a representative 96-well plate assay shows analyte values from the majority of samples (n = 39; normal and diabetic mouse serum and plasma) were detected within the accurate range of the standard curve (80–120% standard recovery; ≤10% intra-assay CV; ≤15% inter-assay CV). Normal vs. Diabetic Mouse Plasma Sample Analysis: Fed and Fasted Conditions Sample measurements of fed and fasted, normal and diabetic mouse groups (n = 10 each group) was determined in a representative 8-plex assay. Student’s t-test (JMP ver 8 software) P value indicates anticipated statistical significances between normal and diabetic groups (P <0.05) for established biomarkers (i.e. ghrelin, GLP-1, insulin). Glucagon and insulin levels are significantly higher in fed diabetic mice but not in fasted diabetic mice, consistent with the disrupted metabolism in this model. Conclusion The magnetic bead-based Bio-Plex Pro mouse diabetes 8-plex assays allow simultaneous measurement of multiple diabetic and metabolic biomarkers in a single sample of serum, plasma or cell culture media matrices The assays have been optimized for high performance (specificity, sensitivity, accuracy, and precision) in conjunction with sample linearity, parallelism, and a broad assay range required for preclinical research applications The implementation of magnetic bead-based assays allows for automation of assay wash steps using available magnetic washers and the complete robotic automation of assay processing The development and verification of these assays represent significant progress in improving multiplex assay quality required for diabetes research Table 3. Linearity of dilution. The correlation coefficient (R 2 ) was determined by linear regression analysis of analytes measured in three-fold serial dilutions of standard-spiked samples within assay range. Linearity of Sample Dilutions (R 2 ) Adiponectin Ghrelin GIP GLP-1 Glucagon Insulin Leptin PAI-1 Resistin Serum 0.9941 0.9972 0.9998 1.0000 0.9999 0.9999 0.9989 0.9985 0.9932 Plasma 0.9929 0.9996 0.9986 0.9993 0.9939 0.9998 0.9990 0.9987 0.9998 RPMI-10% FCS 0.9992 0.9972 0.9998 1.0000 0.9927 0.9999 0.9989 0.9985 0.9989 91 94 98 96 101 87 96 96 97 Table 1. Cross-reactivity (%) among the targets in the Bio-Plex mouse diabetes panel. Target Adiponectin Ghrelin GIP GLP-1 Glucagon Insulin Leptin PAI-1 Resistin Adiponectin –0.1 –0.3 –0.4 –0.2 –0.4 –0.2 –0.1 –0.2 Ghrelin 0.0 –0.2 –0.3 –0.2 –0.1 –0.1 0.0 –0.4 GIP –0.1 –0.1 1.4 –0.2 0.2 0.0 0.0 –0.2 GLP-1 0.0 –0.1 –0.3 –0.3 –0.1 0.1 0.0 –0.2 Glucagon –0.1 –0.1 –0.4 –0.7 –0.1 –0.1 0.0 –0.2 Insulin 0.0 –0.1 –0.4 –0.9 –0.3 –0.1 0.0 –0.3 Leptin 0.0 –0.1 –0.3 –1.2 –0.4 –0.2 0.0 –0.4 PAI-1 0.1 0.0 –0.1 –0.7 –0.3 0.0 0.2 0.1 Resistin 0.0 0.0 0.0 0.0 0.0 –0.7 0.0 0.0 Fig. 3. Parallelism. Examples of parallelism for glucagon spiked in mouse serum (A) and plasma (B) between spiked samples () and standard curves (). Curves were fitted with 4-PL regression analysis. A. Serum Concentration, pg/ml 10,000 1,000 100 Fluorescence intensity 1 10 100 1,000 10,000 10,000 1,000 100 Fluorescence intensity 1 10 100 1,000 10,000 Concentration, pg/ml B. Plasma Fig. 4. Normal and diabetic mouse target levels in working assay range. The 5-PL fit standard curve plot () shows sample distribution ( ) primarily within the ULOQ and LLOQ (dotted lines). The % standard recovery (observed concentration/expected concentration x100) is indicated in parenthesis for each standard point. Fig. 5. Dot plot analysis of diabetic and normal mouse plasma samples collected under fed and fasting conditions. Ghrelin Concentration, pg/ml 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 P <0.05 GIP 1,000 800 600 400 200 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 PAI-1 Concentration, pg/ml 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 Resistin 250,000 200,000 150,000 100,000 50,000 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 P <0.05 Insulin Concentration, pg/ml 60,000 50,000 40,000 30,000 20,000 10,000 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 Leptin 40,000 30,000 20,000 10,000 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 p < 0.05 GLP-1 Concentration, pg/ml 120 100 80 60 40 20 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 P <0.05 Glucagon 800 600 400 200 0 Normal Diabetic Normal Diabetic Fed Fasted 0 1 2 3 4 5 6 P <0.05 Fluorescence intensity 20,000 10,000 0 Concentration, pg/ml 1 10 100 1,000 10,000 PAI-1 S1 (56) S3 (97) S2 (110) S4 (104) S5 (100) S6 (102) S8 (116) ULOQ(3221.059) LLOQ(0.828) S7 (89) 20,000 10,000 0 Concentration, pg/ml 10 100 1,000 10,000 100,000 Resistin S1 (100) S3 (100) S2 (100) S4 (101) S5 (97) S6 (103) S8 (70) ULOQ(257579.349) LLOQ(68.404) S7 (109) 20,000 10,000 0 Concentration, pg/ml 10 100 1,000 10,000 100,000 Leptin S1 (88) S3 (99) S2 (101) S4 (102) S5 (102) S6 (94) S8 (120) ULOQ(82086.902) LLOQ(6.817) S7 (101) 20,000 10,000 0 Concentration, pg/ml 10 100 1,000 10,000 100,000 Insulin S1 (46) S3 (99) S2 (108) S4 (102) S5 (97) S6 (107) S8 ULOQ(68605.050) LLOQ(56.386) S7 (91) Fluorescence intensity Fluorescence intensity 20,000 10,000 0 Concentration, pg/ml 1 10 100 1,000 10,000 Ghrelin S1 (***) S3 (100) S2 (93) S4 (101) S5 (99) S6 (98) S7 (110) S8 (86) ULOQ(3895.134) LLOQ(0.874) 15,000 10,000 5,000 0 Concentration, pg/ml 1 10 100 1,000 10,000 GIP S1 (122) S3 (101) S2 (97) S4 (100) S5 (97) S6 (107) S7 (94) S8 LLOQ(4.569) ULOQ(4844.804) Glucagon 20,000 10,000 0 Concentration, pg/ml 1 10 100 1,000 10,000 S1 S3 (100) S2 (100) S4 (100) S5 (100) S6 (102) S7 (88) S8 ULOQ(6156.414) LLOQ(5.287) GLP-1 20,000 10,000 0 Concentration, pg/ml 0.1 1 10 100 1,000 10,000 S1 (57) S3 (99) S2 (114) S4 (102) S5 (96) S6 (105) S7 (106) S8 (60) ULOQ(2250.356) LLOQ(2.036) Fluorescence intensity 20,000 10,000 0 Concentration, pg/ml 1 10 100 1,000 10,000 100,000 Adiponectin ULOQ(63403.595) LLOQ(15.359) Fluorescence intensity Development of a Magnetic Bead-based Multiplex Immunoassay for Metabolic Biomarkers in Normal and Diabetic Mouse Serum and Plasma Samples Life Science Group 2000 Alfred Nobel Drive Hercules, CA 94547 USA J. Eldering, A. Dulat, R. Zimmerman, V. Gupta, Bio-Rad Laboratories, Life Science, 2000 Alfred Nobel Dr., Hercules, CA 94547 USA

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Page 1: Development of a Magnetic Bead-based Multiplex Immunoassay … · 2010. 7. 7. · Fig. 1. Multiplex immunoassay workflow. The multiplex bead-based suspension sandwich immunoassay

Bulletin 6000 Rev A 10-0793 0610

Table 2. Assay working range, sensitivity, and precision.

Targets LLOQ ULOQ LOD Intra-assay %CV Inter-assay %CV

Adiponectin* 38.0 62,043 8.4 4 3 8-Plex Assays

Ghrelin 3.1 7,296 0.8 5 4

GIP 13.4 14,999 2.3 4 10

GLP-1 3.4 1,969 0.8 6 11

Glucagon 24.0 3,067 7.0 6 6

Insulin 93.4 47,815 22.0 6 4

Leptin 17.1 69,900 6.2 4 3

PAI-1 0.7 2,922 0.5 5 2

Resistin 125.9 257,870 32.0 4 4

The LLOQ, ULOQ, LOD, and inter-assay precision %CV are the mean data determined from three independent multiplex assays in a serum-based matrix. * Due to the different dilution scheme, adiponectin was assayed as a single assay.

AbstractObesity and diabetes are on the rise and constitute a series of complex metabolic disorders with complex interactions among multiple proteins and environmental factors. Murine diabetes and obesity models exist to study these disorders through the measurement of circulating metabolic biomarkers. A particular challenge posed by these animal models is the limited amount of sample. To address this issue we have developed a novel multiplex immunoassay that can simultaneously measure eight of the most commonly measured metabolic biomarkers (insulin, leptin, PAI-1, resistin, ghrelin, GIP, GLP-1 and glucagon), as well as a single immunoassay for adiponectin, which requires a higher sample dilution than the other targets. The method uses the Bio-Plex® suspension array system, which is comprised of a flow-based 96-well fluorescent microplate assay reader integrated with specialized software. The Bio-Plex system uses an array of dye-coded microspheres to enable detection of multiple distinct analytes in as little as 12.5 µl of serum/plasma sample. The wash steps were automated using a Bio-Plex Pro™ wash station. The procedure for one plate was completed within 3 hours. The performance of the mouse metabolic biomarker assays were verified in three independent runs and found to be highly sensitive (LOD <0.5 to 179 pg/ml, depending on target), specific (<5% cross-reactivity), accurate (80–120% standard recovery), and precise (intra-assay <10% CV; inter-assay <15%). Sample linearity was good in both serum and plasma (R2 = 0.87–1.0, depending on target) within assay range. Preliminary studies included simultaneous detection of eight circulating diabetes markers, and adiponectin, in normal and Type II diabetic mice. Results showed altered levels of key biomarkers in the disease state samples relative to the levels in the normal population. Furthermore, these metabolic biomarker immunoassays were found to be compatible for multiplexing with similar immunoassays for cytokines (i.e. TNFa, IL-6) that are implicated in inflammatory disorders and cancer.

IntroductionThis mouse diabetes assay was developed to test multiple metabolic biomarkers simultaneously in three most common matrices, serum, plasma, and cell culture media. The objective of the assay development was to verify assay performance parameters and native sample recognition in normal and disease mouse models.

MethodMultiplex sandwich immunoassays were developed on 6.5 µm magnetic microspheres using the Bio-Plex suspension array system. This system integrates a series of color-coded magnetic beads each of which is coupled to a unique antibody specific for a distinct biochemical marker. The assays were performed in flat-bottomed 96-well plates using an automated magnetic wash station for wash steps. Multiplexed standard antigen, samples diluted 1 to 4 in sample diluent, and blank standard diluent were tested in triplicate wells. The procedure was conducted as described in Figure 1. The standard curves and samples were analyzed by 5-PL and 4-PL regression analysis using Bio-Plex Manager™ software version 6.0. The assays and analysis were completed within 3 hours. Assay performance parameters for Bio-Plex Pro mouse diabetes and adiponectin assays were verified in three independent assays. Samples tested were serum and plasma (K2EDTA) collected from fed and fasted, normal (C57BL/6) and diabetic (DB/DB) mice.

Specificity

The assays are highly specific with ≤1% cross reactivity among targets. Cross-reactivity was calculated using the median fluorescence intensity (MFI) of multiplexed detection antibodies and capture antibody-coupled beads in the presence of a single antigen at the third highest concentration in the standard curve.

ResultsStandard Response Curves

Typical standard response curves of all nine analytes are shown in Figure 2. The standard analyte signal increases in proportion to increasing standard analyte concentrations over a 4 to 5 log range.

Limits of Quantitation, Sensitivity, and Precision

Overall assay performance was highly sensitive, accurate, and precise. The lower limit of quantitation (LLOQ), and upper limit of quantitation (ULOQ) values define the working assay range in which the assay is highly accurate (80–120% recovery) and precise (≤10% intra-assay CV). The lower limit of detection (LOD) is defined as the concentration obtained at the MFI that is 2-fold standard deviations above the background. Intra-assay precision was determined from the variance of MFI of three replicate wells for eight standard points. The mean intra-assay %CV of standard points within assay range is shown from one representative assay. The inter-assay %CV was measured from the coefficient of variation of observed concentrations of eight standard points for three independent assays. The mean inter-assay %CV was obtained from standard points within assay range (80–120% recovery).

Linearity

Linearity of dilution ensures that analytes present in concentrations within the assay range can be diluted and measured accurately for relative quantitation. The correlation coefficient (R2) was determined by linear regression analysis of analytes measured in 3-fold serial dilutions of standard-spiked samples within assay range. Linearity (R2 >0.99) was demonstrated in 3 matrices (mouse serum, plasma, and cell culture media) for all nine targets (Table 3).

Parallelism

Parallelism is necessary to reveal similar behaving sample matrix effects. Parallelism was demonstrated between spiked samples and standards with 4-PL curve slope differences <18% for all nine targets measured within assay range (Figure 3).

Fig. 1. Multiplex immunoassay workflow. The multiplex bead-based suspension sandwich immunoassay is conducted and read within 3 hours using a flow-based 96-well fluorescent microplate assay reader integrated with software. SA-PE, Streptavidin-Phycoerythrin.

Add beads

Wash Add standards, controls, and

samples, 60 min

Wash Wash WashAdd detection antibody, 30 min

Add SA-PE, 10 min

Read on Bio-Plex suspension array system

Fig. 2. Standard curves for Bio-Plex Pro mouse diabetes assay.

25,100

20,100

15,100

10,100

5,100

100

Fluo

resc

ence

inte

nsity

1 10 100 1,000 10,000 100,000 1,000,000

Concentration, pg/ml

1 0 0

5 1 0 0

1 0 1 0 0

1 5 1 0 0

2 0 1 0 0

2 5 1 0 0

1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0

S ta n d a r d A n a ly t e C o n c e n t r a t io n , p g /m l

Signal MFI

G h re lin

G IP

G L P-1

G lu c a g o

In s u lin

L e p t in

PA I-1

Re s is t in

A d ip o n e c t in

1 0 0

5 1 0 0

1 0 1 0 0

1 5 1 0 0

2 0 1 0 0

2 5 1 0 0

1 1 0 1 0 0 1 0 0 0 1 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0

S ta n d a r d A n a ly t e C o n c e n t r a t io n , p g /m l

Signal MFI

G h re lin

G IP

G L P-1

G lu c a g o

In s u lin

L e p t in

PA I-1

Re s is t in

A d ip o n e c t in

Ghrelin

GIP

GLP-1

Glucagon

Insulin

Leptin

PAI-1

Resistin

Adiponectin

Sample Measurements within Standard Curve Range

Results from a representative 96-well plate assay shows analyte values from the majority of samples (n = 39; normal and diabetic mouse serum and plasma) were detected within the accurate range of the standard curve (80–120% standard recovery; ≤10% intra-assay CV; ≤15% inter-assay CV).

Normal vs. Diabetic Mouse Plasma Sample Analysis: Fed and Fasted Conditions

Sample measurements of fed and fasted, normal and diabetic mouse groups (n = 10 each group) was determined in a representative 8-plex assay. Student’s t-test (JMP ver 8 software) P value indicates anticipated statistical significances between normal and diabetic groups (P <0.05) for established biomarkers (i.e. ghrelin, GLP-1, insulin). Glucagon and insulin levels are significantly higher in fed diabetic mice but not in fasted diabetic mice, consistent with the disrupted metabolism in this model.

Conclusion The magnetic bead-based Bio-Plex Pro mouse diabetes 8-plex assays allow simultaneous measurement of multiple diabetic ■■

and metabolic biomarkers in a single sample of serum, plasma or cell culture media matrices

The assays have been optimized for high performance (specificity, sensitivity, accuracy, and precision) in conjunction with ■■

sample linearity, parallelism, and a broad assay range required for preclinical research applications

The implementation of magnetic bead-based assays allows for automation of assay wash steps using available magnetic ■■

washers and the complete robotic automation of assay processing

The development and verification of these assays represent significant progress in improving multiplex assay quality required ■■

for diabetes research

Table 3. Linearity of dilution. The correlation coefficient (R2) was determined by linear regression analysis of analytes measured in three-fold serial dilutions of standard-spiked samples within assay range.

Linearity of Sample Dilutions (R2)

Adiponectin Ghrelin GIP GLP-1 Glucagon Insulin Leptin PAI-1 Resistin

Serum 0.9941 0.9972 0.9998 1.0000 0.9999 0.9999 0.9989 0.9985 0.9932

Plasma 0.9929 0.9996 0.9986 0.9993 0.9939 0.9998 0.9990 0.9987 0.9998

RPMI-10% FCS 0.9992 0.9972 0.9998 1.0000 0.9927 0.9999 0.9989 0.9985 0.9989

91

9498

96

101

87

96

96

97

Table 1. Cross-reactivity (%) among the targets in the Bio-Plex mouse diabetes panel.

Target Adiponectin Ghrelin GIP GLP-1 Glucagon Insulin Leptin PAI-1 Resistin

Adiponectin –0.1 –0.3 –0.4 –0.2 –0.4 –0.2 –0.1 –0.2

Ghrelin 0.0 –0.2 –0.3 –0.2 –0.1 –0.1 0.0 –0.4

GIP –0.1 –0.1 1.4 –0.2 0.2 0.0 0.0 –0.2

GLP-1 0.0 –0.1 –0.3 –0.3 –0.1 0.1 0.0 –0.2

Glucagon –0.1 –0.1 –0.4 –0.7 –0.1 –0.1 0.0 –0.2

Insulin 0.0 –0.1 –0.4 –0.9 –0.3 –0.1 0.0 –0.3

Leptin 0.0 –0.1 –0.3 –1.2 –0.4 –0.2 0.0 –0.4

PAI-1 0.1 0.0 –0.1 –0.7 –0.3 0.0 0.2 0.1

Resistin 0.0 0.0 0.0 0.0 0.0 –0.7 0.0 0.0

Fig. 3. Parallelism. Examples of parallelism for glucagon spiked in mouse serum (A) and plasma (B) between spiked samples (■) and standard curves (■). Curves were fitted with 4-PL regression analysis.

A. Serum

Concentration, pg/ml

10,000

1,000

100

Fluo

resc

ence

inte

nsity

1 10 100 1,000 10,000

10,000

1,000

100

Fluo

resc

ence

inte

nsity

1 10 100 1,000 10,000

Concentration, pg/ml

Glucagon (63)

1.00 10.00 100.00 1000.00 10000.00

Concentration

100.00

1000.00

10000.00

Glucagon (63)

1.00 10.00 100.00 1000.00 10000.00

Concentration

100.00

1000.00

10000.00

Glucagon (63)

1.00 10.00 100.00 1000.00 10000.00

Concentration

100.00

1000.00

10000.00

Glucagon (63)

1.00 10.00 100.00 1000.00 10000.00

Concentration

100.00

1000.00

10000.00

B. Plasma

Fig. 4. Normal and diabetic mouse target levels in working assay range. The 5-PL fit standard curve plot (■) shows sample distribution (▲) primarily within the ULOQ and LLOQ (dotted lines). The % standard recovery (observed concentration/expected concentration x100) is indicated in parenthesis for each standard point.

Fig. 5. Dot plot analysis of diabetic and normal mouse plasma samples collected under fed and fasting conditions.

Ghrelin

Con

cent

ratio

n, p

g/m

l

14,000

12,000

10,000

8,000

6,000

4,000

2,000

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05P <0.05

GIP 1,000

800

600

400

200

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

PAI-1

Con

cent

ratio

n, p

g/m

l

14,000

12,000

10,000

8,000

6,000

4,000

2,000

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05

Resistin 250,000

200,000

150,000

100,000

50,000

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05 P <0.05

Insulin

Con

cent

ratio

n, p

g/m

l

60,000

50,000

40,000

30,000

20,000

10,000

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05

Leptin 40,000

30,000

20,000

10,000

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05

p < 0.05

GLP-1

Con

cent

ratio

n, p

g/m

l

120

100

80

60

40

20

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05

P <0.05

Glucagon 800

600

400

200

0

Normal Diabetic Normal Diabetic Fed Fasted

0 1 2 3 4 5 6

P <0.05

Fluo

resc

ence

inte

nsity 20,000

10,000

0

Concentration, pg/ml

1 10 100 1,000 10,000

PAI-1 (48)

1.00 10.00 100.00 1000.00 10000.00

Concentration

0.00

10000.00

20000.00

PAI-1

S1 (56)

S3 (97)

S2 (110)

S4 (104)

S5 (100)S6 (102)S8 (116)

ULOQ(3221.059)

LLOQ(0.828)

S7 (89)

20,000

10,000

0

Concentration, pg/ml

10 100 1,000 10,000 100,000

Resistin (30)

10.00 100.00 1000.00 10000.00 100000.00

Concentration

0.00

10000.00

20000.00

Resistin

S1 (100)

S3 (100)

S2 (100)

S4 (101)

S5 (97)S6 (103)S8 (70)

ULOQ(257579.349)

LLOQ(68.404)

S7 (109)

20,000

10,000

0

Concentration, pg/ml

10 100 1,000 10,000 100,000

Leptin (65)

10.00 100.00 1000.00 10000.00 100000.00

Concentration

0.00

10000.00

20000.00

Leptin

S1 (88)

S3 (99)

S2 (101)

S4 (102)

S5 (102)S6 (94)S8 (120)

ULOQ(82086.902)

LLOQ(6.817)

S7 (101)

20,000

10,000

0

Concentration, pg/ml

10 100 1,000 10,000 100,000

Insulin (66)

10.00 100.00 1000.00 10000.00 100000.00

Concentration

0.00

10000.00

20000.00

Insulin

S1 (46)

S3 (99)

S2 (108)

S4 (102)

S5 (97)S6 (107)S8

ULOQ(68605.050)

LLOQ(56.386)

S7 (91)

Fluo

resc

ence

inte

nsity

Fluo

resc

ence

inte

nsity 20,000

10,000

0

Concentration, pg/ml

1 10 100 1,000 10,000

Ghrelin (64)

1.00 10.00 100.00 1000.00 10000.00

Concentration

0.00

10000.00

20000.00

Ghrelin

S1 (***)

S3 (100)

S2 (93)

S4 (101)

S5 (99)

S6 (98)S7 (110)S8 (86)

ULOQ(3895.134)

LLOQ(0.874)

15,000

10,000

5,000

0

Concentration, pg/ml

1 10 100 1,000 10,000

GIP

S1 (122)

S3 (101)

S2 (97)

S4 (100)

S5 (97)S6 (107)S7 (94)S8

LLOQ(4.569)

GIP (46)

1.00 10.00 100.00 1000.00 10000.00

Concentration

0.00

5000.00

10000.00

15000.00

ULOQ(4844.804)

Glucagon

20,000

10,000

0

Concentration, pg/ml

1 10 100 1,000 10,000

Glucagon (63)

1.00 10.00 100.00 1000.00 10000.00

Concentration

0.00

10000.00

20000.00

S1

S3 (100)

S2 (100)

S4 (100)

S5 (100)S6 (102)S7 (88)S8

ULOQ(6156.414)

LLOQ(5.287)

GLP-1

20,000

10,000

0

Concentration, pg/ml

0.1 1 10 100 1,000 10,000

S1 (57)

S3 (99)

S2 (114)

S4 (102)

S5 (96)

S6 (105)S7 (106)S8 (60)

ULOQ(2250.356)

LLOQ(2.036)

Fluo

resc

ence

inte

nsity

GLP-1 (62)

0.10 1.00 10.00 100.00 1000.00 10000.00

Concentration

0.00

10000.00

20000.00

20,000

10,000

0

Concentration, pg/ml

1 10 100 1,000 10,000 100,000

Adiponectin

ULOQ(63403.595)

LLOQ(15.359)

Fluo

resc

ence

inte

nsity

Adiponectin (29)

1.00 10.00 100.00 1000.00 10000.00 100000.00

Concentration

0.00

10000.00

20000.00

Development of a Magnetic Bead-based Multiplex Immunoassay for Metabolic Biomarkers in Normal and Diabetic Mouse Serum and Plasma Samples Life Science Group2000 Alfred Nobel Drive

Hercules, CA 94547 USA

J. Eldering, A. Dulat, R. Zimmerman, V. Gupta, Bio-Rad Laboratories, Life Science, 2000 Alfred Nobel Dr., Hercules, CA 94547 USA