1. Introduction
PACE4 is a calcium-dependent serine endoprotease, which has been identified as a potential therapeutic target in prostate cancer [1,2]. Recently, an efficient inhibitory peptide for PACE4 has been reported, Ac-[
A major challenge in the development of peptide therapeutics is their susceptibility to enzymatic hydrolysis in biological systems. A primary mechanism of enzymatic degradation of small peptides in the systemic circulation is peptidase-mediated hydrolysis, especially of terminal amino acids by exopeptidase activity [3]. Ac-[
For this purpose, we developed a UPLC-MS/MS assay for the sensitive quantification of the peptide in mouse blood microsamples. Nowadays, peptide bioanalysis is primarily performed with LC-MS/MS methodologies, especially due to their potential of fast implementation, wide dynamic range, and superior selectivity compared to immune-based quantifications. Peptide bioanalysis by LC-MS/MS methodologies has several inherent challenges. Apart from the distribution of signal intensity across multiply charged precursor ions and across isotopes, collision-induced dissociation (CID) often involves further signal dilution caused by the predominantly unselective dissociation of peptide bonds leading to multiple, equally abundant product ions. In addition, peptide stability in the used biological matrix is a crucial factor to assess during bioanalytical method development, due to abundance of proteolytic enzymes.
LC-MS/MS-based bioanalysis of Ac-[
2. Materials and Methods
2.1. Pre-Clinical Mouse Study
Animal studies were approved by the regulatory authorities (Regierungspräsidium Karlsruhe of the state of Baden-Württemberg/Germany, 35-9185.81/G-145/21) and fully complied with European and national regulations for the care and use of laboratory animals (2010/63/EU). Eight- to ten-week-old C57Bl/6 female mice (Janvier) were used for the study.
The animals were administered 4 mg/kg Ac-[
2.2. Drugs, Chemicals, Solvents, and Materials
Ac-[
2.3. Standard Solutions
Calibration and quality control (QC) spike solutions were prepared in ACN/H2O (1/1, v/v) + 0.1% FA in glass vials. These were produced from stock solution generated from accurately dissolved independent weighings into 2 mL volumetric flasks. Calibration solutions were prepared at concentrations of 8, 24, 80, 240, 800, 1400, and 8000 ng/mL. QC solutions were prepared at concentrations of 8, 24, 3000, and 6000 ng/mL. The IS spike solution was prepared accordingly at a concentration of 400 ng/mL. Solutions were kept at 4 °C.
2.4. Sample Preparation
Blood samples for calibration and QC purposes were generated through the addition of 25 µL of the pertinent spike solution to 20 µL of blank blood and the subsequent addition of 25 µL of IS solution. Calibration samples were produced at 10, 30, 100, 300, 1000, 3000, and 10,000 ng/mL, and QC samples were produced at concentrations of 10, 30, 3750, and 7500 ng/mL. For study sample processing, 20 µL of each sample was added to 25 µL of IS solution, and 25 µL of ACN/H2O 1/1 + 0.1% FA was added for volume compensation to ensure that sample preparation matches that of study blood samples. For stability reasons, each sample was immediately depleted from proteins by adding 150 µL ACN including 0.1% FA. Samples were processed individually and kept frozen until processing. Subsequently, samples were centrifuged at 13,200× g for 5 min. From the extracts, 10 µL was transferred to 400 µL of ACN/H2O 1/19 + 0.1% FA in wells of a 96-well collection plate (Waters, Milford, MA, USA).
2.5. Plasma and Whole-Blood Stability
To investigate peptide stability, minimally diluted plasma or blood samples were generated through the addition of 10 µL of a spiking solution (50,000 ng/mL) to 490 µL of the pertinent biological matrix, resulting in a sample concentration of 1000 ng/mL. Samples (withdrawal of duplicates of 20 µL) were measured immediately after preparation and again after 1 and 2 h. Stability was evaluated via the comparison of peak area ratios of analyte and IS.
Metabolite identification experiments were performed in minimally diluted mouse plasma at a Ac-[
2.6. Instrumental Analysis Parameters
The instrumental setup comprised an Acquity UPLC® Classic System coupled to a Xevo TQ-S triple-stage quadrupole mass spectrometer, which was equipped with a Z-spray heated electrospray ionization (ESI) source (Waters, Milford, MA, USA). The UPLC system was equipped with a Waters BEH Premier C18 Peptide column (300 Å, 1.7 μm, 2.1 × 50 mm) maintained at 60 °C. The mobile phase consisted of two eluents: 5% (v) ACN in water with 0.01% FA (eluent A) and ACN with 0.01% FA (eluent B). The flow rate was 0.5 mL/min and the flow was directed to the ion source between 1.0 and 1.6 min after injection and otherwise to the waste. Chromatographic conditions initially consisted of 95% A/5% B and were kept for 0.1 min after injection. Subsequently, conditions were changed to 40% B within 1.4 min. Then, the ratio was set at 2% A/98% B during 0.2 min and maintained for 0.5 min. Initial conditions were restored during 0.1 min. Starting conditions were maintained for 0.2 min and for an additional minute during preparation of the subsequent injection by the Sample Manager. Samples were refrigerated to 10 °C while in the Sample Manger. The injection needle was washed with ACN/water/MeOH (2/1/1, v/v/v) + 1% FA after each injection. In total, the measurement of each sample was completed in 3.5 min. A volume of 20 µL was used for injection. ESI source parameters were manually optimized to a capillary voltage of 1000 V, source temperature of 150 °C, cone gas flow (N2) of 150 L/h, desolvation gas flow (N2) of 1000 L/h, and desolvation temperature of 600 °C. The integrated IntelliStart procedures of the MassLynx V4.2 system software (Waters, Milford, MA, USA) were used for automated determination of optimized selective reaction monitoring (SRM) parameters for Ac-[
High-resolution mass spectrometric (HRMS) determinations for the investigation of Ac-[
2.7. Validation of the Analytical Methods
The applicable recommendations for bioanalytical method validation of the FDA and EMA were applied to the validation of the assay [5,6]. Accuracy was calculated as the percentage of the ratio of the mean of the determined concentrations and the nominal concentration. The acceptance limit is 100 ± 15%, with the exception of the LLOQ where it is 100 ± 20% Q. The assay precision was calculated as the coefficient of variation of the determined sample concentrations. It needs to be ≤15% in general and ≤20% at the LLOQ. Each validation run included blank and IS controls, seven calibration samples in duplicate determination, and four QC samples (LLOQ and low, mid, and high QC concentrations) in six-fold determination. Recovery of the whole blood extraction process was calculated from peak areas of QC samples divided by the peak areas obtained from blank blood spiked with the respective amount after processing. Assessment of matrix effects was performed by the ratio of peak areas of blank blood samples spiked after processing with the peak areas of UPLC solvent containing an identical amount of analyte [7]. Stability of the analyte was investigated in freeze-and-thaw cycles separated by at least 24 h and at room temperature for testing bench-top stability.
2.8. Calculations and Statistical Methods
Calibration curves were determined with 1/x2 weighted linear regression using peak area ratios of the analyte to IS. This calculation was performed using the software TargetLynx V4.2 (Waters, Milford, MA, USA). Blood pharmacokinetics were determined with the software Kinetica (v 5.0; Thermo Fisher Scientific, Waltham, MA, USA). Pharmacokinetic analyses were performed using standard non-compartmental methods. The elimination rate (λ) was calculated by linear regression of ln-transformed concentrations from the terminal concentration decline, and the half-life was calculated as ln 2 divided by λ. Standard calculations were performed using Microsoft Office Excel 2010 (Mountain View, CA, USA).
3. Results and Discussion
3.1. Mass Spectrometric and Chromatographic Characteristics
Ac-[
Efficient chromatography was achieved with a C18 column with a large pore width and a gradient from 5 to 40% ACN in 1.4 min. The large pores of the column and heating to 60 °C facilitated optimal mass transfer kinetics and produced sharp peaks (width at baseline of 4 s; Figure 2).
3.2. Stability of Ac-[
To determine which biological matrix is best suited for pharmacokinetic experiments in mice, we investigated the bench-top stability of Ac-[
This already very fast degradation at room temperature does not match previous stability investigations in Na-heparin mouse plasma [1], which stated a half-life of 18 h at 37 °C. However, these were conducted at a substantially higher concentration of Ac-[
Because enzymatic hydrolysis of the peptide is a potential cause for the instability of Ac-[
Surprisingly, Ac-[
3.3. Sample Preparation and Extraction Characteristics
As a consequence of the instability of Ac-[
Due to the high sensitivity of the assay, the obtained extracts had to be further diluted for UPLC-MS/MS quantification. A 40-fold dilution proved to be optimal for the calibrated range. This dilution step enables us to adjust the calibration range of the assay. If required, an even lower LLOQ of 1 ng/mL can easily be achieved by reducing the dilution factor after protein precipitation to five-fold.
The IS-normalized recoveries were well within 15% deviation, with values ranging from 95.1 to 107.2% (Table S2). Absolute recoveries were not determined due to extensive adsorption of Ac-[
3.4. Validation Results
Extraction via protein precipitation combined with UPLC-MS/MS quantification for Ac-[
Reflecting the established sample collection and processing strategy, the stability of Ac-[
3.5. Matrix Effect
Because Ac-[
Whole-blood quantification of Ac-[
3.6. Pharmacokinetics of Ac-[
The pharmacokinetics of Ac-[
The measured pharmacokinetic profiles are shown in Figure 4. As expected, intraperitoneal administration resulted in a considerably flattened profile compared to intravenous bolus injection. The half-life after intravenous injection was comparable to that of intraperitoneal administration with 21.0 ± 1.6 min and 15.9 ± 1.0 min, respectively. The half-life in our experiment was considerably longer than in a previous study [1], which may be due to the fact that we performed later blood samplings and therefore reduce the contribution of the initial distribution phase after intravenous bolus injection. Theoretically, it could also be the result of non-linear pharmacokinetics at the higher dose we used; however, our values in the low concentration ranges show no evidence of non-linear clearances.
Our study has several limitations. Because we demonstrated the specificity of our assay, pre-dose samples were not collected. Due to the late first sampling in our study and the short half-life of Ac-[
4. Conclusions
We successfully validated a bioanalytical strategy for the pharmacokinetic assessment of the PACE4 inhibitor peptide Ac-[
Conceptualization, M.S.; Formal analysis, M.S.; Funding acquisition, M.S. and T.C.K.; Investigation, M.S., J.H., C.B. and T.C.K.; Methodology, M.S.; Project administration, M.S. and T.C.K.; Resources, W.E.H., F.L. and J.B.; Supervision, W.E.H., J.B. and F.L.; Validation, M.S. and J.B.; Visualization, M.S. and C.B.; Writing—original draft, M.S.; Writing—review and editing, T.C.K., J.H., C.B., F.L., W.E.H. and J.B. All authors have read and agreed to the published version of the manuscript.
Animal studies were approved by the regulatory authorities (Regierungspräsidium Karlsruhe of the state of Baden-Württemberg/Germany, 35-9185.81/G-145/21) and fully complied with European and national regulations for care and use of laboratory animals (2010/63/EU).
Informed consent was obtained from all blood donors.
Data are available from the corresponding author upon reasonable request.
The authors would like to thank Isabelle Wörz and Leonie Hehn for technical assistance.
The authors declare no conflict of interest.
Footnotes
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Figure 1. Positive precursor (top) and product spectrum (MS/MS) of the [M+3H]3+ signal (m/z 343.3; bottom) of Ac-[d-Leu]LLLRVK-amba with collision-induced dissociation at a collision energy of 10 V. Three letter amino acid labels represent the corresponding iminium ion. The structure of Ac-[d-Leu]LLLRVK-amba depicts the dissociation location of the monitored mass transition (gray line) and the position of the isotopic labels in the internal standard (asterisk).
Figure 2. Representative UPLC-MS/MS chromatograms of blood samples of Ac-[d-Leu]LLLRVK-amba. The analyte transition is shown in black and the internal standard (IS) transition in gray. (A) blank sample, (B) sample with added IS, (C) sample at lower limit of quantification (LLOQ) level (representing 10.0 ng/mL), (D) sample at mid QC concentration (representing 3750 ng/mL), and (E) blood sample 2 h after intraperitoneal administration of 4 mg/kg Ac-[d-Leu]LLLRVK-amba to mouse #1 (calculated Ac-[d-Leu]LLLRVK-amba concentration 15.8 ng/mL). The intensity of blanks was normalized to the value of the pertinent peak in the LLOQ chromatogram while intensity in the remaining chromatograms was normalized to the highest peak. IS and analyte transition were processed independently.
Figure 3. Plasma and whole-blood stability of Ac-[d-Leu]LLLRVK-amba at 1 µg/mL over 2 h at room temperature. The insert shows the corresponding semi-logarithmic presentation.
Figure 4. Blood concentration–time profiles of Ac-[d-Leu]LLLRVK-amba after intravenous (n = 3) and intraperitoneal (n = 4) administration of 4 mg/kg to mice.
Quality control results of the assay validation for Ac-[
LLOQ | Low QC | Mid QC | High QC | ||
---|---|---|---|---|---|
10.0 ng/mL | 30.0 ng/mL | 3750 ng/mL | 7500 ng/mL | ||
Within-batch | |||||
1 | Mean [ng/mL] | 9.76 | 29.8 | 3981 | 7357 |
Accuracy [%] | 97.6 | 99.2 | 106.1 | 98.1 | |
Precision [%CV] | 6.18 | 5.11 | 4.76 | 12.6 | |
2 | Mean [ng/mL] | 11.6 | 30.4 | 4005 | 8394 |
Accuracy [%] | 116.3 | 101.2 | 106.8 | 111.9 | |
Precision [%CV] | 1.95 | 6.49 | 5.74 | 2.83 | |
3 | Mean [ng/mL] | 9.59 | 26.3 | 3335 | 6783 |
Accuracy [%] | 95.9 | 87.5 | 89.0 | 90.4 | |
Precision [%CV] | 10.9 | 2.02 | 2.20 | 1.48 | |
Batch-to-batch | |||||
Mean [ng/mL] | 10.2 | 28.7 | 3762 | 7407 | |
Accuracy [%] | 102.5 | 95.8 | 100.3 | 98.8 | |
Precision [%CV] | 11.2 | 8.17 | 9.68 | 11.3 |
CV: coefficient of variation; LLOQ: lower limit of quantification; QC: quality control. n = 5 replicates at LLOQ and each QC concentration.
Supplementary Materials
The following supporting information can be downloaded at:
References
1. Levesque, C.; Couture, F.; Kwiatkowska, A.; Desjardins, R.; Guérin, B.; Neugebauer, W.A.; Day, R. PACE4 inhibitors and their peptidomimetic analogs block prostate cancer tumor progression through quiescence induction, increased apoptosis and impaired neovascularisation. Oncotarget; 2015; 6, 3680. [DOI: https://dx.doi.org/10.18632/oncotarget.2918] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/25682874]
2. D’Anjou, F.; Routhier, S.; Perreault, J.-P.; Latil, A.; Bonnel, D.; Fournier, I.; Salzet, M.; Day, R. Molecular validation of PACE4 as a target in prostate cancer. Transl. Oncol.; 2011; 4, 157-IN159. [DOI: https://dx.doi.org/10.1593/tlo.10295] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/21633671]
3. Werle, M.; Bernkop-Schnürch, A. Strategies to improve plasma half life time of peptide and protein drugs. Amino Acids; 2006; 30, pp. 351-367. [DOI: https://dx.doi.org/10.1007/s00726-005-0289-3] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/16622600]
4. Al Shoyaib, A.; Archie, S.R.; Karamyan, V.T. Intraperitoneal route of drug administration: Should it be used in experimental animal studies?. Pharm. Res.; 2020; 37, 12. [DOI: https://dx.doi.org/10.1007/s11095-019-2745-x] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/31873819]
5. Committee for Medicinal Products for Human Use, European Medicines Agency. Guideline on Bioanalytical Method Validation. 2011; Available online: https://www.ema.europa.eu/en/documents/scientific-guideline/guideline-bioanalytical-method-validation_en.pdf (accessed on 1 December 2022).
6. US Food and Drug Administration (FDA). Guidance for Industry: Bioanalytical Method Validation. 2018; Available online: https://www.fda.gov/files/drugs/published/Bioanalytical-Method-Validation-Guidance-for-Industry.pdf (accessed on 1 December 2022).
7. Matuszewski, B.; Constanzer, M.; Chavez-Eng, C. Strategies for the assessment of matrix effect in quantitative bioanalytical methods based on HPLC− MS/MS. Anal. Chem.; 2003; 75, pp. 3019-3030. [DOI: https://dx.doi.org/10.1021/ac020361s] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/12964746]
8. Böttger, R.; Hoffmann, R.; Knappe, D. Differential stability of therapeutic peptides with different proteolytic cleavage sites in blood, plasma and serum. PLoS ONE; 2017; 12, e0178943. [DOI: https://dx.doi.org/10.1371/journal.pone.0178943] [PubMed: https://www.ncbi.nlm.nih.gov/pubmed/28575099]
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Abstract
The calcium-dependent serine endoprotease PACE4 is evaluated as a therapeutic target for prostate cancer. The peptide Ac-[
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1 Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany;
2 Department of Cardiology, Angiology and Pneumology, Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany;