Here we describe a high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) assay to quantify the immunosuppressant tacrolimus in dried blood spots using a simple manual protein precipitation step and online column extraction.
The calcineurin inhibitor tacrolimus is the cornerstone of most immunosuppressive treatment protocols after solid organ transplantation in the United States. Tacrolimus is a narrow therapeutic index drug and as such requires therapeutic drug monitoring and dose adjustment based on its whole blood trough concentrations. To facilitate home therapeutic drug and adherence monitoring, the collection of dried blood spots is an attractive concept. After a finger stick, the patient collects a blood drop on filter paper at home. After the blood is dried, it is mailed to the analytical laboratory where tacrolimus is quantified using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) in combination with a simple manual protein precipitation step and online column extraction.
For tacrolimus analysis, a 6-mm disc is punched from the saturated center of the blood spot. The blood spot is homogenized using a bullet blender and then proteins are precipitated with methanol/0.2 M ZnSO4 containing the internal standard D2,13C-tacrolimus. After vortexing and centrifugation, 100 µl of supernatant is injected into an online extraction column and washed with 5 ml/min of 0.1 formic acid/acetonitrile (7:3, v:v) for 1 min. Hereafter, the switching valve is activated and the analytes are back-flushed onto the analytical column (and separated using a 0.1% formic acid/acetonitrile gradient). Tacrolimus is quantified in the positive multi reaction mode (MRM) using a tandem mass spectrometer.
The assay is linear from 1 to 50 ng/ml. Inter-assay variability (3.6%-6.1%) and accuracy (91.7%-101.6%) as assessed over 20 days meet acceptance criteria. Average extraction recovery is 95.5%. There are no relevant carry-over, matrix interferences and matrix effects. Tacrolimus is stable in dried blood spots at RT and at +4 °C for 1 week. Extracted samples in the autosampler are stable at +4 °C for at least 72 hr.
Tacrolimus is a potent immonosuppressant1-7 that has a macrolide structure8 (Figure 1). Due to cis–trans isomerism of the C-N bonds it forms two rotamers in solution9 that can be separated by reversed phase high-performance liquid chromatography (HPLC) Tacrolimus is lipophilic and soluble in alcohols (methanol: 653 g/L, ethanol: 355 g/L), halogenated hydrocarbons (chloroform: 573 g/L) and ether. It is sparingly soluble in aliphatic hydrocarbons (hexane: 0.1 g/L and water (pH 3: 0.0047 g/L)9. The molecule does not contain any chromophore and its UV-absorption maximum is 192 nm. Tacrolimus acts via inhibition of calcineurin. Its mechanism of action has been reviewed in references10,11. It is currently used in more than 80% of solid-organ transplant patients in the United States12.
The therapeutic index of tacrolimus is considered to be narrow13. In addition, the correlation between tacrolimus doses and blood concentrations is poor and pharmacokinetics is variable14,15. Therapeutic drug monitoring to guide tacrolimus dosing in transplant patients is therefore general clinical practice16-20. The goal is to keep the tacrolimus blood concentrations within a pre-defined therapeutic range. Tacrolimus blood concentrations below the therapeutic range may result in increased activity of chronic or acute allo-immune reactions, while concentrations above the therapeutic window increase the risk for over-immunosuppression, cancer and toxicities, such as nephrotoxicity, neurotoxicity, hypertension, and diabetes. High pharmacokinetic intra-individual variability of tacrolimus may be detrimental to both transplant organ and patient survival21,22. While inter-individual variability of tacrolimus pharmacokinetics is mainly caused by CYP3A5 polymorphisms, reasons for intra-individual variability include, but are not limited to, drug-drug, disease-drug and food-drug interactions14,15. Also lack of adherence to the immunosuppressive therapeutic drug regimen is a contributing factor and a major reason for graft loss23,24.
These considerations suggest that frequent home therapeutic drug and adherence monitoring of tacrolimus whole blood concentrations may be beneficial to ensure that patients have tacrolimus exposure within the desired therapeutic window at all times. However, the logistics and cost of more frequent therapeutic drug monitoring as it is current clinical practice15 is prohibitive. One of the reasons is that the patient has to see a phlebotomist to have the required venous blood sample drawn. Dried blood spots have recently emerged as an attractive concept25-28. After a simple finger stick the patient collects a blood drop on a special filter paper card and after the blood spot has dried, it can be mailed to a central laboratory for analysis of tacrolimus and any other immunosuppressant that the patient may currently be taking. This has become possible due to the development of highly sensitive and specific LC-MS/MS assays for the quantification of tacrolimus and other immunosuppressants in very small blood volumes such as dried blood spots (typically 20 µl of blood)25,29-43. Another advantage is that minimally invasive, low volume sample collection strategies such as dried blood spots greatly facilitate therapeutic drug monitoring and pharmacokinetic studies in small children28.
Tacrolimus is usually measured in venous EDTA whole blood15. Reasons are that tacrolimus extensively distributes into blood cells and that clinical studies have reported better correlation between tacrolimus trough concentrations in blood than in plasma with clinical events15,18. In comparison, the analysis of tacrolimus in dried blood spots is based on capillary blood that is mixed with the filter paper matrix. This presents challenges in terms of solubilization of tacrolimus and potential interferences with the LC-MS/MS analysis. Here we present an established and validated assay based on homogenization of the dried blood spot using a bullet blender in combination with a high-flow online column sample clean up procedure and LC-MS/MS analysis. As of today, this assay has successfully been used for the quantification of more than five thousand tacrolimus dried blood spot samples for adherence monitoring in clinical trials.
De-identified blood samples from healthy individuals were from the University of Colorado Hospital (Aurora, Colorado). The use of de-identified blood bank samples for validation studies as well as for the preparation of calibrators and quality control samples was considered “exempt” by the Colorado Multi-institutional Review Board (COMIRB, Aurora, Colorado).
1. Preparation of References and Solutions
2. Extraction of Tacrolimus Dried Blood Spot Samples
3. LC-MS/MS Analysis
4. Quantification
5. Validation Procedures
Representative ion chromatograms of a blank sample, a sample spiked at the lower limit of quantification and a patient sample are shown in Figure 3.
Calibration Curves
The lower limit of detection was 0.5 ng/ml and the lower limit of quantification was 1.0 ng/ml. Fifty ng/ml was chosen as the highest calibrator as higher concentrations are unlikely to be reached in the clinic under normal circumstances.
Calibration curves were freshly prepared on each validation day in human EDTA whole blood, dried on filter cards and extracted with methanol / 0.2 M ZnSO4 (70:30 v/v) + internal standard (final concentration of internal standard: 2.5 ng/ml). For the day 1 validation (n = 6 for calibrators and n = 6 for QC level) and for days 2 – 20 (n = 2 for calibrators and n = 4 for each QC level) were analyzed with concentrations 1, 2.5, 5, 10, 25, 50 ng/ml for calibrators. A typical calibration curve is shown in Figure 4. Mean accuracies of 85% to 115% of nominal, within the working range for 2/3 of the calibrators (with a minimum of 6 non-zero calibrators) were considered acceptable. The mean coefficient of correlation was (r) = 0.999 (n = 40 calibration curves).
Accuracies and Precisions
The results are shown in detail in Table 3.
Extraction Recovery
Average extraction recoveries were 98.2% (2 ng/ml), 92.2 (4 ng/ml), 95.5 (20 ng/ml), 96.2 (40 ng/ml).
Matrix Interferences, Ion Suppression/Ion Enhancement Testing Using Continuous Post-Column Infusion and Carry-over
Analysis of the blank samples from eight different individuals (n = 4 female and n = 4 male) showed signals less than 15% of the LLOQ (1 ng/ml) at the retention time corresponding to the tacrolimus peak indicating that the detected tacrolimus peak can be considered specific. A representative example is shown in Figure 3. Potential interferences by ion suppression/ion enhancement were tested using blank dried blood samples from eight different healthy individuals. A representative experiment is shown in Figure 5. No indications of significant ion suppression/ion enhancement were observed. No relevant carry-over resulting in peaks exceeding 15% of the signal at LLOQ were detected.
Dilution Integrity
Dilution integrity was investigated by analyzing samples prepared at concentrations above the highest calibrator (100, 250 and 500 ng/ml) and diluted 1:10 in protein precipitation solution after extraction to reach the target concentrations of: 10, 25, and 50 ng/ml. Mean accuracies had to fall within the acceptance criteria of 85% to 115% of the nominal concentrations. All dilutions tested met acceptance criteria (Table 4).
Stabilities
Stability of tacrolimus in dried blood spots was investigated by analyzing QC samples at all four levels (n = 4 / concentration level), which were stored under varying conditions.
Mean accuracies had to fall within the acceptance criteria of 85% to 115% of the nominal concentrations. Results are shown in detail in Table 5. No losses after 1 week of storage at RT, after 1 week of storage at 4 °C, after 1 month of storage at -20 °C, after 1 month of storage at -80 °C, after 3 freeze and thaw cycles, and after 72 hr of extracted samples in auto sampler at 4 °C were apparent.
Extraction Pump | Analytical (Elution) Pump | ||||||
Time [min] | Water + 0.1% formic acid | Acetonitrile | Flow rate [µl/min] | Time [min] | Water + 0.1% formic acid | Acetonitrile | Flow rate [µl/min] |
0 | 70 | 30 | 5,000 | 0 | 13 | 87 | 1,000 |
1 | 70 | 30 | 5,000 | 2 | 2 | 98 | 1,200 |
1.1 | 2 | 98 | 100 | 3.5 | 2 | 98 | 1,200 |
3 | 2 | 98 | 100 | 3.6 | 13 | 87 | 1,000 |
3.1 | 20 | 80 | 2,000 | 4.6 | 13 | 87 | 1,000 |
4 | 70 | 30 | 5,000 | ||||
4.6 | 70 | 30 | 5,000 |
Table 1. Gradient Program for the Extraction and Analytical HPLC Pumps.
Parameter | Setting |
Collision gas (CAD) | 10 |
Curtain gas (CUR) (psi) | 30 |
Ion Source gas 1 (GS1) (psi) | 50 |
Ion source gas 2 (GS2) (psi) | 30 |
Nebulizer current (NC) (V) | 1 |
Temperature (TEM) (°C) | 600 |
IonSpray Voltage (IS) (V) | 5500 |
Interface heater (ihe) | On |
Declustering potential (DP) (V) | 136 |
Entrance potential (EP) (V) | 10 |
Collision energy (CE) (V) | 47 |
Collision cell exit potential (CXP) (V) | 16 |
Table 2. Turbo Electrospray Interface and Mass Spectrometer Parameters. The nomenclature corresponds to that used in the mass spectrometry software (for manufacturer details, please see Materials List).
Validation Day | QC Level [% of nominal concentration] | |||
2 | 4 | 20 | 40 | |
Day 1 | 93.0 | 86.3 | 88.9 | 93.4 |
101 | 90.4 | 95.3 | 100 | |
85.6 | 95.9 | 99.0 | 97.5 | |
88.6 | 93.6 | 105 | 103 | |
85.0 | 97.4 | 97.2 | 109 | |
89.1 | 96.7 | 100 | 101 | |
Intra-day Accuracy [%] | 90.4 | 93.4 | 97.6 | 100.7 |
Intra-Day Imprecision [CV%] | 6.6 | 4.6 | 5.5 | 5.2 |
Day 2 | 92.8 | 86.0 | 103 | 95.4 |
91.1 | 88.8 | 94.7 | 87.0 | |
88.6 | 90.9 | 92.8 | 94.2 | |
97.2 | 93.7 | 94.2 | 115 | |
Intra-day Accuracy [%] | 92.4 | 89.9 | 96.2 | 97.9 |
Intra-Day Imprecision [CV%] | 3.9 | 3.6 | 4.8 | 12.2 |
Day 3 | 97.6 | 101 | 98.4 | 112 |
104 | 85.6 | 102 | 110 | |
99.2 | 88.4 | 99.4 | 105 | |
96.3 | 87.2 | 108 | 117 | |
Intra-day Accuracy [%] | 99.3 | 90.6 | 102.0 | 111.0 |
Intra-Day Imprecision [CV%] | 3.4 | 7.8 | 4.2 | 4.5 |
Day 4 | 95.2 | 88.6 | 112 | 94.5 |
105 | 87.3 | 93.2 | 116 | |
99.8 | 96.2 | 103 | 103 | |
100 | 104 | 97.2 | 99.4 | |
Intra-day Accuracy [%] | 100.0 | 94.0 | 101.4 | 103.2 |
Intra-Day Imprecision [CV%] | 4.0 | 8.2 | 8.1 | 8.9 |
Day 5 | 106 | 90.4 | 101 | 106 |
108 | 89.0 | 106 | 100 | |
102 | 101 | 96.6 | 128 | |
105 | 88.8 | 105 | 107 | |
Intra-day Accuracy [%] | 105.3 | 92.3 | 102.2 | 110.3 |
Intra-Day Imprecision [CV%] | 2.4 | 6.3 | 4.2 | 11.1 |
Day 6 | 90.9 | 93.7 | 119 | 106 |
98.8 | 88.1 | 96.4 | 110 | |
94.6 | 96.3 | 99.1 | 108 | |
108 | 100 | 102 | 102 | |
Intra-day Accuracy [%] | 98.1 | 94.5 | 104.1 | 106.5 |
Intra-Day Imprecision [CV%] | 7.5 | 5.3 | 9.8 | 3.2 |
Day 7 | 85.1 | 87.5 | 99.5 | 95.4 |
86.4 | 85.4 | 94.7 | 101 | |
94.5 | 87.3 | 98.9 | 94.6 | |
85.5 | 97.0 | 101 | 99.6 | |
Intra-day Accuracy [%] | 87.9 | 89.3 | 98.5 | 97.7 |
Intra-Day Imprecision [CV%] | 5.1 | 5.8 | 2.7 | 3.2 |
Day 8 | 86.1 | 92.5 | 91.9 | 102 |
87.5 | 91.5 | 95.2 | 88.5 | |
115 | 85.6 | 92.1 | 102 | |
85.8 | 85.9 | 95.4 | 108 | |
Intra-day Accuracy [%] | 93.6 | 88.9 | 93.7 | 100.1 |
Intra-Day Imprecision [CV%] | 15.3 | 4.1 | 2.0 | 8.2 |
Day 9 | 88.9 | 91.4 | 96.9 | 100 |
90.0 | 89.8 | 95.0 | 100 | |
69.7 | 85.9 | 95.8 | 109 | |
91.9 | 87.0 | 105 | 101 | |
Intra-day Accuracy [%] | 85.1 | 88.5 | 98.2 | 102.5 |
Intra-Day Imprecision [CV%] | 12.2 | 2.9 | 4.7 | 4.3 |
Day 10 | 90.9 | 91.3 | 96.2 | 100 |
97.7 | 89.5 | 94.4 | 100 | |
99.9 | 109 | 98.7 | 96.8 | |
99.1 | 90.0 | 95.7 | 96.1 | |
Intra-day Accuracy [%] | 96.9 | 95.0 | 96.3 | 98.2 |
Intra-Day Imprecision [CV%] | 4.2 | 9.9 | 1.9 | 2.1 |
Day 11 | 92.7 | 91.9 | 88.2 | 104 |
96.6 | 91.2 | 97.0 | 110 | |
109.0 | 92.8 | 97.6 | 102 | |
98.3 | 107 | 93.7 | 111 | |
Intra-day Accuracy [%] | 99.2 | 95.7 | 94.1 | 106.8 |
Intra-Day Imprecision [CV%] | 7.0 | 7.9 | 4.6 | 4.1 |
Day 12 | 87.7 | 85.5 | 105 | 95.3 |
112 | 88.1 | 101 | 96.1 | |
102 | 89.1 | 89.7 | 97.5 | |
106 | 92.5 | 102 | 104 | |
Intra-day Accuracy [%] | 101.9 | 88.8 | 99.4 | 98.2 |
Intra-Day Imprecision [CV%] | 10.1 | 3.3 | 6.7 | 4.0 |
Day 13 | Failed | 85.7 | 93.3 | 102 |
101 | 105 | 88.0 | 93.9 | |
112 | 98.0 | 91.4 | 102 | |
104 | 113 | 104 | 101 | |
Intra-day Accuracy [%] | 105.7 | 100.4 | 94.2 | 99.7 |
Intra-Day Imprecision [CV%] | 5.4 | 11.5 | 7.3 | 3.9 |
Day 14 | 91.5 | 89.1 | 97.4 | 93.1 |
90.4 | 87.1 | 93.9 | 99.8 | |
89.7 | 97.0 | 94.8 | 106 | |
97.4 | 86.8 | 89.9 | Failed | |
Intra-day Accuracy [%] | 92.3 | 90.0 | 94.0 | 99.6 |
Intra-Day Imprecision [CV%] | 3.8 | 5.3 | 3.3 | 6.5 |
Day 15 | 92.8 | 92.8 | 92.5 | 95.4 |
97.5 | 96.3 | 96.2 | 95.5 | |
95.5 | 108 | 97.3 | 99.3 | |
110 | 109 | 115 | 113 | |
Intra-day Accuracy [%] | 99.0 | 101.5 | 100.3 | 100.8 |
Intra-Day Imprecision [CV%] | 7.7 | 8.1 | 10.0 | 8.3 |
Day 16 | 93.7 | 97.8 | 90.7 | 112 |
90.3 | 87.1 | Failed | 101 | |
97.9 | 88.3 | 95.5 | 107 | |
91.4 | 85.7 | 89.3 | 96.7 | |
Intra-day Accuracy [%] | 93.3 | 89.7 | 91.8 | 104.2 |
Intra-Day Imprecision [CV%] | 3.6 | 6.1 | 3.5 | 6.4 |
Day 17 | 88.0 | 86.0 | 93.7 | 103 |
89.8 | 90.8 | 94.8 | 93.2 | |
85.9 | 91.1 | 99.7 | 94.8 | |
86.7 | 88.1 | 95.6 | 91.7 | |
Intra-day Accuracy [%] | 87.6 | 89.0 | 96.0 | 95.7 |
Intra-Day Imprecision [CV%] | 1.9 | 2.7 | 2.7 | 5.3 |
Day 18 | 89.6 | 85.8 | 91.0 | 98.3 |
89.6 | 86.2 | 88.3 | 93.6 | |
Failed | 86.7 | 96.8 | 104 | |
88.1 | 85.8 | 95.2 | 111 | |
Intra-day Accuracy [%] | 89.1 | 86.1 | 92.8 | 101.7 |
Intra-Day Imprecision [CV%] | 1.0 | 0.5 | 4.2 | 7.4 |
Day 19 | 98.0 | 89.7 | 94.2 | 102 |
88.3 | 86.0 | 97.6 | 102 | |
91.6 | 88.1 | 95.8 | 97.5 | |
90.7 | 90.1 | 92.8 | 88.3 | |
Intra-day Accuracy [%] | 92.2 | 88.5 | 95.1 | 97.5 |
Intra-Day Imprecision [CV%] | 4.5 | 2.1 | 2.2 | 6.6 |
Day 20 | 93.0 | 87.0 | 99.4 | 101 |
97.3 | 87.6 | 95.5 | 91.9 | |
89.0 | 88.4 | 91.2 | 93.5 | |
104 | 90.7 | 97.7 | 115 | |
Intra-day Accuracy [%] | 95.8 | 88.4 | 96.0 | 100.4 |
Intra-Day Imprecision [CV%] | 6.7 | 1.8 | 3.7 | 10.5 |
Inter-Day Accuracy and Imprecision |
||||
Inter-day Accuracy | 95.2 | 91.7 | 97.2 | 101.6 |
Inter-Day Imprecision | 6.1 | 4.5 | 3.6 | 4.2 |
Table 3. Results of Quality Control Samples over 20 Days. Data is presented as % of nominal. Samples listed as “failed” are samples that were lost to laboratory/instrument errors. In most cases, no peaks were detected at all or the internal standard peak was missing.
Dilution | 1:10 |
Nominal target concentration after dilution | 50 ng/ml |
98.6 | |
94.5 | |
91.4 | |
Accuracy [%] | 94.8 |
Imprecision [CV%] | 3.6 |
Dilution | 1:10 |
Nominal target concentration after dilution | 10 ng/ml |
103 | |
99.5 | |
101 | |
Accuracy [%] | 101.2 |
Imprecision [CV%] | 1.8 |
Dilution | 1:10 |
Nominal target concentration after dilution | 25 ng/ml |
91.7 | |
98.2 | |
103 | |
Accuracy [%] | 97.6 |
Imprecision [CV%] | 5.7 |
Table 4. Results of Dilution Integrity Testing. Data is presented as % of nominal.
A | ||||
Stability at RT, Day 1 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
91.9 | 85.8 | 86.0 | 102 | |
86.7 | 85.7 | 88.5 | 102 | |
86.0 | 85.9 | 90.1 | 103 | |
89.2 | 98.0 | 90.8 | 112 | |
% of nominal concentration | 88.5 | 88.9 | 88.9 | 104.8 |
Imprecision [%CV] | 2.7 | 6.1 | 2.1 | 4.9 |
Stability at RT, Day 3 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
88.6 | 105 | 101 | 113 | |
94.1 | 100 | 98.5 | 103 | |
100 | 101 | 106 | 109 | |
99.5 | 102 | 102 | 108 | |
% of nominal concentration | 95.6 | 102.0 | 101.9 | 108.3 |
Imprecision [%CV] | 5.3 | 2.2 | 3.1 | 4.1 |
Stability at RT, Day 7 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
105 | 103 | 91.7 | 109 | |
101 | 107 | 100 | 110 | |
102 | 108 | 107 | 105 | |
93.8 | 105 | 109 | 111 | |
% of nominal concentration | 100.5 | 105.8 | 101.9 | 108.8 |
Imprecision [%CV] | 4.7 | 2.2 | 7.8 | 2.6 |
B | ||||
Stability at +4 °C, Day 1 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
101 | 89.9 | 95.8 | 100 | |
88.9 | 91.0 | 94.1 | 99.0 | |
96.2 | 100 | 102 | 96.7 | |
89.5 | 87.8 | 95.4 | 88.6 | |
% of nominal concentration | 93.9 | 92.2 | 96.8 | 96.1 |
Imprecision [%CV] | 5.8 | 5.4 | 3.5 | 5.2 |
Stability at +4 °C, Day 3 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
87.3 | 85.2 | 105 | 95.3 | |
Failed | 87.8 | 101 | 96 | |
101 | 88.8 | 89.6 | 97.5 | |
106 | 92.2 | 102 | 104 | |
% of nominal concentration | 98.1 | 88.5 | 99.4 | 98.2 |
Imprecision [%CV] | 9.7 | 2.9 | 6.8 | 4.0 |
Stability at +4 °C, Day 7 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
94.0 | 98.5 | 96.1 | 110 | |
92.9 | 96.4 | 109 | 109 | |
91.7 | 96.3 | 97.9 | 115 | |
94.7 | 96.9 | 99.8 | 113 | |
% of nominal concentration | 93.3 | 97.0 | 100.7 | 111.8 |
Imprecision [%CV] | 1.3 | 1.0 | 5.7 | 2.8 |
C | ||||
Stability at -20 °C, Day 3 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
87.3 | 98.7 | 111 | 111 | |
93.5 | 89.6 | 108 | 105 | |
89.5 | 91.5 | 107 | 112 | |
88.2 | 99.1 | 108 | 92.4 | |
% of nominal concentration | 89.6 | 94.7 | 108.5 | 105.1 |
Imprecision [%CV] | 2.7 | 4.9 | 1.7 | 9.0 |
Stability at -20 °C, Day 7 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
96.5 | 98.7 | 102 | 109 | |
94.8 | 94.6 | 114 | 106 | |
95.5 | 102 | 98.1 | 108 | |
107 | 99.5 | 115 | 105 | |
% of nominal concentration | 98.5 | 98.7 | 107.3 | 107 |
Imprecision [%CV] | 5.7 | 3.1 | 8.5 | 1.8 |
Stability at -20 °C, Day 30 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
82.3 | 83.1 | 90.4 | 93.2 | |
87.9 | 85.8 | 85.3 | 97.9 | |
85.7 | 88.6 | 98.3 | 98.0 | |
92.0 | 95.6 | 110 | 103 | |
% of nominal concentration | 87.0 | 88.3 | 96.0 | 98.0 |
Imprecision [%CV] | 4.1 | 5.4 | 10.8 | 4.0 |
D | ||||
Stability at -80 °C, Day 3 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
87.5 | 96.5 | 96.7 | Failed | |
Failed | 97.6 | 98.7 | 110 | |
88.8 | 96.4 | 106 | 109 | |
87.3 | 101 | 96.5 | 109 | |
% of nominal concentration | 87.9 | 97.9 | 99.5 | 109.3 |
Imprecision [%CV] | 0.8 | 2.2 | 4.5 | 0.6 |
Stability at -80 °C, Day 7 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
Failed | 98.0 | 105 | 99.8 | |
97.1 | 106 | 104 | 105 | |
99.7 | 102 | 99.3 | 102 | |
101 | 99.9 | 109 | 106 | |
% of nominal concentration | 99.3 | 101.5 | 104.3 | 103.2 |
Imprecision [%CV] | 2.0 | 3.4 | 4.0 | 2.8 |
Stability at -80 °C, Day 30 | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
88.2 | 85.3 | 89.6 | 96.7 | |
96.2 | 92.6 | 85.8 | 94.1 | |
83.9 | 93.7 | 91.0 | 105 | |
95.6 | 94.0 | 98.9 | 102 | |
% of nominal concentration | 91.0 | 91.4 | 91.3 | 99.5 |
Imprecision [%CV] | 6.0 | 4.1 | 5.5 | 4.9 |
E | ||||
Freeze thaw stability, -20 °C, 1 cycle | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
92.5 | 86.2 | 90.2 | 94.3 | |
89.8 | 90.5 | 85.4 | 104 | |
94.7 | 88.6 | 93.4 | 104 | |
101 | 89.2 | 93.7 | 96.3 | |
% of nominal concentration | 94.5 | 88.6 | 90.7 | 99.7 |
Imprecision [%CV] | 4.8 | 1.8 | 3.9 | 5.1 |
Freeze thaw stability, -20 °C, 2 cycles | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
99.1 | 97.6 | Failed | 85.3 | |
93.1 | 88.1 | 93.4 | 92.0 | |
94.9 | 91.5 | 85.8 | 93.9 | |
Failed | 90.5 | 86.8 | 85.4 | |
% of nominal concentration | 95.7 | 91.9 | 88.7 | 89.2 |
Imprecision [%CV] | 3.1 | 4.0 | 4.1 | 4.5 |
Freeze thaw stability, -20 °C, 3 cycles | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
95.7 | Failed | 86.0 | 93.3 | |
95.5 | 87.4 | 85.0 | 91.3 | |
90.5 | 89.1 | 86.0 | 86.0 | |
96.9 | 85.7 | 90.2 | Failed | |
% of nominal concentration | 94.7 | 87.4 | 86.8 | 90.2 |
Imprecision [%CV] | 2.8 | 1.7 | 2.3 | 3.8 |
F | ||||
Extracted sample stability at +4 °C, 24 hr | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
122 | 112 | 91.0 | 104 | |
93.5 | 106 | 91.8 | 96.1 | |
111 | 94.8 | 98.2 | 93.5 | |
98.4 | 97.6 | 91.3 | 89.8 | |
% of nominal concentration | 106.2 | 102.6 | 93.1 | 95.9 |
Imprecision [%CV] | 12.8 | 7.9 | 3.4 | 6.0 |
Extracted sample stability at +4 °C, 48 hr | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
106 | 108 | 93.7 | 110 | |
105 | 98.1 | 94.6 | 98.9 | |
103 | 98.4 | 95.0 | 92.6 | |
108 | 93.1 | 89.7 | 85.5 | |
% of nominal concentration | 105.5 | 99.4 | 93.3 | 96.8 |
Imprecision [%CV] | 2.1 | 6.2 | 2.4 | 10.4 |
Extracted sample stability at +4 °C, 72 hr | ||||
QC level [ng/ml] | 2 | 4 | 20 | 40 |
96.5 | 112 | 96.4 | 104 | |
101 | 95.3 | 103 | 95.2 | |
94.2 | 105 | 93.5 | 99.5 | |
100 | 96.9 | 92.6 | 89.3 | |
% of nominal concentration | 97.9 | 102.3 | 96.4 | 97.0 |
Imprecision [%CV] | 3.1 | 7.7 | 4.7 | 6.3 |
Table 5. Results of Stability Testing. A: Stability of tacrolimus on dried blood spots at RT over 7 days, B: Stability of tacrolimus on dried blood spots in the refrigerator (+4 °C) over 7 days, C: Stability of tacrolimus on dried blood spots at -20 °C over 1 month, D: Stability of tacrolimus on dried blood spots at -80 °C over 1 month, E: Stability of tacrolimus on dried blood spots over three freeze-thaw cycles (-20 °C), F: Extracted sample/autosampler stability at +4 °C over 72 hr. Data is presented as % of nominal concentration. Samples listed as “failed” are samples that were lost to laboratory/instrument errors. In most cases no peaks were detected at all or the internal standard peak was missing.
Figure 1. Structure of Tacrolimus. Atom numbering follows the International Union of Pure and Applied Chemistry (IUPAC) nomenclature. Please click here to view a larger version of this figure.
Figure 2. Connection of the Switching Valve. Please click here to view a larger version of this figure.
Figure 3. Representative Ion Chromatograms. (A) Representative ion chromatogram of a blank blood samples spotted onto filter paper (for manufacturer details, please see Materials List) and dried. The arrow marks the retention time of the tacrolimus peak, (B) Representative ion chromatogram of a blank blood samples spiked at the lower limit of quantification (1 ng/ml) spotted onto the filter paper and dried, and (C) Representative ion chromatogram of a sample collected by a transplant patient on filter paper. This is a trough sample and the measured tacrolimus concentration was 2.1 ng/ml. This sample was collected by the patient at home and is from a clinical trial that was approved by the University of Cincinnati Institutional Review Board (Cincinnati, OH). All patients gave their appropriate written consent. Ion chromatograms are original print-outs as generated by the mass spectrometry software (for manufacturer details, please see Materials List). Blue and red lines in ion chromatograms represent the internal standard D2,13C-tacrolimus and tacrolimus, respectively. The peak eluting in front of the main tacrolimus and internal standard peaks are the rotamers. Please click here to view a larger version of this figure.
Figure 4. Representative Calibration Curve. An original print-out as generated by the mass spectrometry software is shown. Please click here to view a larger version of this figure.
Figure 5. Representative Ion Chromatogram Measured During Post-Column Infusion of Tacrolimus and Injection of an Extracted Blank Blood Sample to Assess a Potential Matrix Effect (Ion Suppression/Ion Enhancement). The arrow marks the retention time of the tacrolimus peak. Matrix effect testing was based on the procedure described in46. No relevant matrix effect was detected. Please click here to view a larger version of this figure.
Although, as aforementioned, the concept of therapeutic drug and adherence monitoring of tacrolimus based on dried blood spots is attractive, there are analytical challenges that go beyond those typically associated with the LC-MS/MS analysis of tacrolimus in venous EDTA whole blood samples. These include, but are not limited to, the fact that the matrix is capillary whole blood soaked into the cotton linters material of the filter card material used here and the low blood volume (20 µl). Nevertheless, high-throughput analysis in a central laboratory requires a fast and reliable extraction method that results in samples that lack matrix interferences and matrix effects in combination with a robust, specific and highly sensitive LC-MS/MS assay. Reliability of the assay is critical as there is usually not enough material on the already punched filter card left for re-analysis in case the extraction / LC-MS/MS analysis fails.
The filter cards used in the present study (for manufacturer details, please see Materials List) were chosen as these are an FDA approved class II device, are in compliance with NCCLS guidance LA4-A544 and are CE-marked in Europe. If completely filled, one circle on the Whatman 903 filter card holds ≈50 µl blood46. However, the size of the blood drops collected by individual patients vary and training in the proper sampling technique is essential46.
The first important step of extracting a punched-out dried blood spot sample is homogenization. Based on our experience, the use of a bullet blender is more efficient and better reproducible than other methods used to enhance extraction efficiency such as sonication. The use of the bullet blender was essential to consistently achieve extraction recoveries above 90%. For reliability of the extraction procedure, it was also important to ensure that all centrifuges were temperature controlled (4 °C) and that the vortexing step was not shorter than 10 min, which resulted in more variable and lower extraction recoveries. In addition, it is important that the methanol/ZnSO4 ratio is not altered as tacrolimus recovery is very sensitive to the correct composition of the protein precipitation solution.
The next challenge is to obtain a clean extract ideally devoid of materials that may cause matrix interferences and effects. Thus, a simple one-step protein precipitation step as often used for the extraction of tacrolimus from EDTA blood samples was not considered a viable option. After protein precipitation using ZnSO4 (including addition of an isotope-labeled internal standard), vortexing and centrifugation, the supernatants were injected into a 2D HPLC system and onto an online extraction column. Online column extraction using high flows of 5 ml/min on conventional pre-column cartridges using a simple 6-port switching valve for the analysis of tacrolimus have been described before47. The mobile phase was chosen so that tacrolimus and its internal standard concentrated in the front of the extraction column and did not migrate over the column during the cleanup step. The online extraction used in the present protocol had several advantages including injection of relatively large sample volumes without negatively affecting HPLC analysis. The back-flush after enriching the analytes on top of the extraction column (“peak focusing”) resulted in sharper peaks allowing for more reliable integration by the software algorithm especially for samples with low tacrolimus concentrations.48 The online cleanup step did not only remove potentially interfering matrix compounds, but also de-salted the sample. One important yet rarely discussed problem for high-volume, high throughput LC-MS/MS assays is the gradual loss of sensitivity of the LC-MS/MS system due to increasing contamination of the electrospray source during analysis of large batches. No significant matrix effects (ion suppression/ion enhancement) were observed. The negative effect of potential matrix effects were reduced/avoided by combination of the following: effective protein precipitation using methanol/ZnSO4, centrifugation after protein precipitation at 16,000 x g, high-flow online extraction, clear chromatographic separation of tacrolimus from potential interferences early eluting from the analytical column and the use of isotope-labeled tacrolimus as internal standard instead of structurally related internal standards such as ascomycin.
The lower limit of quantification was 1 ng/ml, and thus lower than that of most immunoassays that are currently frequently used for therapeutic drug monitoring of tacrolimus in EDTA blood samples. This lower limit of quantification is sufficient even for so-called low calcineurin inhibitor long-term immunosuppressive maintenance protocols.
In comparison with previously described LC-MS/MS assays to quantify tacrolimus in dried bloods spots29-34,36,39,41,42, the present assay matches or exceeds their performance in terms of lower limit of quantification, extraction recovery, accuracy and precision while avoiding potentially risky concepts such as one-step protein precipitation procedures and ultra-short chromatography times, which usually give acceptable results during the validation based on blood samples from healthy individuals. However, transplant patients are a highly complex group of patients who have diseases that affect the composition of blood and who take multiple medications. This makes it virtually impossible to exclude all potential interferences that may be present in individual patients during the validation and the only viable strategy is to set up the assay in a way that it minimizes the risk of such potential interferences. Dried blood spots have challenges such as the effect of the hematocrit on blood viscosity and thus the diffusion properties of the blood applied on filter paper49. This was not tested here again as such effects have already been described not to affect tacrolimus analysis in dried blood spots at hematocrits and tacrolimus concentrations within clinically reasonable limits29,32. Also stability of tacrolimus in dried blood spots at elevated temperatures has already been studied by others and tacrolimus in dried blood spots was found to be stable for 5 days at 37 °C and even 60 °C32, which is important for shipment of dried blood spots under not temperature-controlled conditions especially during summer.
This assay based on a combination of bullet blender homogenization, high-flow online column cleanup and LC-MS/MS analysis may provide a platform strategy for the development of bioanalytical assays for the quantification of other immunosuppressants, alone or simultaneous, as well as of other drugs in dried blood spot samples.
The authors have nothing to disclose.
This work was supported by the United States Federal Drug Administration (FDA) contract HHSF223201310224C and the United States National Institutes of Health/FDA grant 1U01FD004573-01.
Reference Materials | ||
Tacrolimus | U.S. Pharmacopeial Convention | 1642802 |
D2,13C-Tacrolimus | Toronto Research Chemicals Inc. | F370002 |
Test Materials | ||
Red blood cells | University of Colorado Hospital | W20091305500 V |
Plasma | University of Colorado Hospital | W2017130556300Q |
Solvents | ||
Acetone CHROMASOLV, HPLC, ≥ 99,9 % | Sigma-Aldrich | 439126-4 L |
Acetonitrile Optima LC/ MS, UHPLC- UV | Thermo Fisher Scientific | A955-4 |
Isopropanol 99.9 %, HPLC | Fisher Scientific | BP2632-4 |
Methanol Optima LC/ MS | Thermo Fisher Scientific | A452-4 |
Water Optima LC/ MS, UHPLC- UV | Thermo Fisher Scientific | W6-4 |
Other Chemicals | ||
Formic acid | Thermo Fisher Scientific | A118P-500 |
Phosphate-buffered saline (PBS) | Sigma-Aldrich | D8537 |
Zinc sulfate | Thermo Fisher Scientific | Z68-500 |
Laboratory Instruments and Consumables | ||
0.5 – 10 µl pipet, VoluMate LIQUISYSTEMS | Mettler Toledo | 17008649 |
1,5 mL- Eppendorf tube | Thermo Fisher Scientific | 02-682-550 |
10 – 100 µL pipet, VoluMate LIQUISYSTEMS | Mettler Toledo | 17008651 |
10 μL- pipet tips with filter, sterile | Neptune | BT 10XLS3 |
100 – 1000 µl pipet, VoluMate LIQUISYSTEMS | Mettler Toledo | 17008653 |
100 μL- pipet tips with filter, sterile | Neptune | BT 100 |
1000 μL- pipet tips with filter, sterile | Multimax | 2940 |
2 – 20 µL pipet, VoluMate LIQUISYSTEMS | Mettler Toledo | 17008650 |
2 mL- Eppendorf tube | Thermo Fisher Scientific | 02-681-258 |
20 – 200 µL pipet, VoluMate LIQUISYSTEMS | Mettler Toledo | 17008652 |
20 μL- pipet tips with filter, sterile | GeneMate | P-1237-20 |
200 μL- pipet tips with filter | Multimax | 2938T |
200 μL- pipet tips with filter, sterile | Multimax | 2936J |
50 mL- Falcon tube | BD Falcon | 352070 |
300 μL inserts for HPLC vials | Phenomenex | ARO-9973-13 |
Balance PR2002 | Mettler Toledo | 1117050723 |
Balances AX205 Delta Range | Mettler Toledo | 1119343379 |
Bullet Blender Homogenizer | Next Advance | BBX24 |
Centrifuge Biofuge Fresco | Heraeus | 290395 |
Disposable Wipes | PDI | Q55172 |
Glass v ials, 4 mL | Thermo Fisher Scientific | 14-955-334 |
Glass vials, 20 mL | Thermo Fisher Scientific | B7800-20 |
Gloves, nitrile | Titan Brand Gloves | 44-100S |
HPLC vials, 9 mm, 2 mL, clear | Phenomenex | ARO- 9921-13 |
Lids for HPLC vials | Phenomenex | ARO- 8952-13-B |
Needle, 18G 1.5 | Precision Glide | 305196 |
Rack for Eppendorf tubes | Thermo Fisher Scientific | 03-448-11 |
Rack for HPLC Vials | Thermo Fisher Scientific | 05-541-29 |
Steel beads 0.9 – 2 mm | Next Advance | SSB14B |
Storage boxes for freezers / refrigerators | Thermo Fisher Scientific | 03-395-464 |
Standard multi-tube vortexer | VWR Scientific Products | 658816-115 |
Whatman Paper, 903 Protein Saver US 100/PK | GE Whatman | 2016-05 |
HPLC Equipment and Columns | ||
Autosampler | CTC PAL | PAL.HTCABIx1 |
Binary pump, Agilent 1260 Infinity | Agilent Technologies | 1260 G1312B |
Binary pump, Agilent 1290 Infinity | Agilent Technologies | 1290 G4220A |
Micro vacuum degasser, Agilent 1260 | Agilent Technologies | 1260 G13798 |
Column oven, Agilent 1290 with 2 position | Agilent Technologies | 1290 G1216C |
Thermostated column compartment with integrated 6 port switching valve | Agilent Technologies | 1290 G1316C |
HPLC pre-column cartridge, Zorbax XDB C8 (5 µm particle size), 4.6 · 12.5 mm | Phenomenex | 820950-926 |
HPLC analytical column, Zorbax Eclipse-XDB-C8 (5 µm particle size), 4.6 · 150 mm | Phenomenex | 993967-906 |
Tandem Mass Spectrometer | ||
API5000 MS/MS with TurboIonspray source | AB Sciex | 4364257 |
Mass spectrometry software | AB Sciex | Analyst 1.5.1 |