Abstract

Abstract

Kinetic reactions are critical for understanding how compounds behave in changing physical and chemical environments. Traditionally, analyzing samples from kinetic studies might involve quenching, aliquoting and transporting to instruments through the laboratory. Here, we utilized the Beckman Coulter^® Life Sciences Biomek i7 automated liquid handler to prepare and perform a kinetic study and tasked the Echo^® MS+ system with ZenoTOF 7600 system to rapidly quantify the analytes.

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Key-features

Key features of the automated real-time kinetic hydrolysis of codeine-6-glucuronide

• Automated sample preparation:  Pipette, incubate and shake the kinetic study samples using the Biomek i7 automated liquid handler
• Real-time Zeno MRMHR analysis:  Analyze the study samples in wide peak mode with Zeno MRM^HR at 5 seconds per sample
• Quantitative results:  Quantify targeted analytes and internal standards at specific time intervals
• Evade quenching:  Rapidly analyze study samples without modifying the chemical environment
• Avoid sample cleanup:  Analyze samples directly, even in the presence of a hydrolysis enzyme

Introduction

Introduction

Kinetic assays are time-consuming and require accurately timed sample preparation. Furthermore, lengthy analysis methods such as liquid chromatography can impact the results of kinetic studies.

Codeine is a naturally occurring opiate that can be consumed orally to treat acute pain via the conversion of codeine to morphine in the liver.¹ The codeine that is not converted to morphine undergoes glucuronidation or N-demethylation.¹ Codeine-6-glucuronide, a product of codeine glucuronidation, is difficult to convert to codeine, even using beta-glucuronidase enzymes.^2,3 In this study, we used the Biomek i7 automated liquid handler from Beckman Coulter Life Sciences and the Echo^® MS+ system with ZenoTOF 7600 system to monitor the conversion of codeine-6-glucuronide to codeine. The conversion of a 50 ng/mL and of a 250 ng/mL sample of codeine-6- glucuronide was monitored at 5 time points over 1 hour while incubating at 55°C (Figure 1).

Sample preparation was programmed on the Biomek i7 automated liquid handler for a kinetic study. Pause steps were built into the method so that the Echo^®-qualified 384-well plate could be removed from the Biomek i7 platform and transferred directly to the Echo^® MS+ system with ZenoTOF 7600 system for rapid analysis at specified time points.

Methods

Methods

Automated sample preparation: The Beckman Coulter Life Sciences Biomek i7 automated liquid handler performed the pipetting, shaking and incubation steps. The reaction was carried out in a 96-well 1 mL plate throughout the kinetic study (Figure 2). The device transferred 50 µL of reaction mixture from the 96- well plate to a 384-well plate and was then paused at 0, 10, 20, 30 and 60 minutes so that the user could remove the 384-well plate from the Biomek i7 automated liquid handler and transfer it to the Echo^® MS+ system with ZenoTOF 7600 system for a rapid, real-time analysis at each time point.

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When the Biomek i7 automated liquid handler was paused for plate removal, the first datapoint (0 minutes) was collected on the Echo^® MS+ system with ZenoTOF 7600 system. Following data acquisition, the Echo^®-qualified 384-well plate was returned to the Biomek i7 automated liquid handler and the sample preparation program was resumed. The Biomek i7 automated liquid handler then transferred the 96-well reaction plate to an integrated BioShake Q1 (QINSTRUMENTS, Jena, Germany) on board the Biomek i7 automated liquid handler deck. Here, the 96-well reaction plate was shaken at 850 RPM for 10 minutes while incubating at 55°C. After shaking and incubating, the 96-well plate was transferred to an open position on the Biomek i7 automated liquid handler deck. A 50 µL aliquot of each test and control sample was taken from the 96-well plate and transferred to the 384-well plate. The Biomek i7 automated liquid handler was paused and the 384-well plate was removed for sample analysis on the Echo^® MS+ system with ZenoTOF 7600 system (10-minute datapoint). The 384-well plate was then returned to the Biomek i7 automated liquid handler and the above process was repeated to collect the remaining datapoints at 20, 30 and 60 minutes.

Acoustic ejection:  The carrier solvent was 80:20 (v/v), acetonitrile/water with 0.1% formic acid and was introduced at a flow rate of 460 µL/min. A total of 70 nL of each control and test sample was ejected in wide peak mode for 5 seconds at 10 Hz.

Mass spectrometry:  A Zeno MRM^HR method was utilized to analyze codeine, codeine-d6 and codeine-6-glucuronide. Precursor ions with m/z 300.1597, 306.1976 and 476.1912 were analyzed for codeine, codeine-d6, and codeine-6-glucuronide, respectively. A TOF MS/MS scan was performed for product ions of the precursor ions between 100–500 m/z. Two product ions were chosen to quantitatively measure each of the above ions (Tables 1-4).

Data processing:  Data processing was performed using the Explorer and Analytics modules of SCIEX OS software.

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method-optimization

Method optimization

The Zeno MRM^HR scan generated product ions of the chosen precursor ions. The product ions used for quantitation in the Analytics module of SCIEX OS software were selected from the data generated in the Zeno MRM^HR method shown in Figure 3.

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quantitative

Quantitative kinetic study

The calibration curves for the primary and secondary codeine transitions were linear from 10–250 ng/mL with r >0.998 (Figure 4).

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As time progressed, an increase in codeine concentration was observed, as expected. The amount of free codeine present in the codeine-6-glucuronide samples that were subjected to enzymatic hydrolysis was determined using Zeno MRM^HR (Figure 5). As time passed, a decrease in codeine-6-glucuronide was detected using Zeno MRM^HR.

Figure 5. Concentrations of free codeine over time. Measurements were made at 5 different time points within 1 hour for a 50 ng/mL sample (A) and a 250 ng/mL sample (B) of codeine-6-glucuronide.

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The data collected revealed an exponential rate of enzymatic conversion from codeine-6-glucuronide to codeine. The rate was higher for the 250 ng/mL sample than the 50 ng/mL sample. Figure 6 shows the proportionality between the 2 different concentrations, which differ by a factor of 5 (50 ng/mL vs. 250 ng/mL).

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After 60 minutes of incubation, the overall enzymatic conversion efficiencies for the 50 ng/mL and 250 ng/mL samples were 50.9% and 55.5%, respectively. The conversion percentages were similar for the 50 ng/mL and 250 ng/mL samples (Figure 7).

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The results obtained here reflect those from traditional kinetic study methods in which samples are not prepared in a high-throughput, automated manner. When automated, sample preparation and rapid sample analysis contribute to significant time-saving benefits by allowing for additional walk away time in between preparation and analysis. Automation robotics to transfer the plate directly from the Biomek i7 automated liquid handler to the Echo^® MS+ system can be implemented. The Acoustic Ejection Mass Spectrometry system can be equipped with a complete automation system, customizable to the requirements of a method. The SCIEX Control API 1.10 is available to develop 3rd party software drivers. This compatibility can allow users to run sample batches via the scheduling software remotely.

Conclusion

Conclusion

• A 1-hour kinetic study was conducted with pipetting, incubation and agitation performed in a reaction plate on the Biomek i7 automated liquid handler
• A Zeno MRMHR analysis of free codeine was performed at 10- minute intervals for high quantitative sensitivity
• Samples were analyzed at a rate of 5 seconds per sample without disrupting the timing of the kinetic study
• Free codeine increased incrementally in the 50 ng/mL and 250 ng/mL samples as codeine-6-glucuronide was enzymatically converted to codeine within 1 hour
• No quenching was required
• No sample cleanup was required, even with enzyme present in the wells

References

References

1. Joseph D. Tobias, et al. (2016). Codeine: time to say “no”. Pediatrics, 2016, Oct;138(4).
2. Karen A. Ellis, et al. (2006). A new enzyme for the hydrolysis of codeine 6 glucuronide in urine. Biology, 2006.
3. Peter L. Hackett, et al. (2002). Optimizing the hydrolysis of codeine and morphine glucuronides in urine. Therapeutic Drug Monitoring, 2002 Oct;24(5):652-7