Home Medicine From “wet” matrices to “dry” blood spot sampling strategy: a versatile LC-MS/MS assay for simultaneous monitoring caffeine and its three primary metabolites in preterm infants
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From “wet” matrices to “dry” blood spot sampling strategy: a versatile LC-MS/MS assay for simultaneous monitoring caffeine and its three primary metabolites in preterm infants

  • Hao-Ran Dai ORCID logo , Hong-Li Guo , Wei-Jun Wang , Xian Shen , Rui Cheng , Jing Xu , Ya-Hui Hu EMAIL logo , Xuan-Sheng Ding EMAIL logo and Feng Chen ORCID logo EMAIL logo
Published/Copyright: July 13, 2023

Abstract

Objectives

To update traditional “wet” matrices to dried blood spot (DBS) sampling, based on the liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) technique, and develop a method for simultaneous analyzing caffeine and its three primary metabolites (theobromine, paraxanthine, and theophylline), supporting routine therapeutic drug monitoring (TDM) for preterm infants.

Methods

DBS samples were prepared by a two-step quantitative sampling method, i.e., volumetric sampling of a quantitative 10 μL volume of peripheral blood and an 8 mm diameter whole punch extraction by a methanol/water (80/20, v/v) mixture containing 125 mM formic acid. Four paired stable isotope labeled internal standards and a collision energy defect strategy were applied for the method optimization. The method was fully validated following international guidelines and industrial recommendations on DBS analysis. Cross validation with previously developed plasma method was also proceeded. The validated method was then implemented on the TDM for preterm infants.

Results

The two-step quantitative sampling strategy and a high recovery extraction method were developed and optimized. The method validation results were all within the acceptable criteria. Satisfactory parallelism, concordance, and correlation were observed between DBS and plasma concentrations of the four analytes. The method was applied to provide routine TDM services to 20 preterm infants.

Conclusions

A versatile LC-MS/MS platform for simultaneous monitoring caffeine and its three primary metabolites was developed, fully validated, and successfully applied into the routine clinical TDM practices. Sampling method switching from “wet” matrices to “dry” DBS will facilitate and support the precision dosing of caffeine for preterm infants.


Corresponding authors: Ya-Hui Hu, Pharmaceutical Sciences Research Center, Department of Pharmacy, Children’s Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing 210008, P.R. China, E-mail: ; Xuan-Sheng Ding, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, 639 Longmian Avenue, Nanjing 211198, P.R. China, E-mail: ; and Feng Chen, Department of Pharmacy, Pharmaceutical Sciences Research Center, Children’s Hospital of Nanjing Medical University, 72 Guangzhou Road, Nanjing 210008, P.R. China, E-mail:
Hao-Ran Dai and Wei-Jun Wang are visiting graduate students from China Pharmaceutical University.

Funding source: Specially Appointed Medical Expert Project of the Jiangsu Commission of Health

Award Identifier / Grant number: 2019

Funding source: Scientific Research Support Foundation for Top Young Scholars at the Children’s Hospital of Nanjing Medical University

Award Identifier / Grant number: 2020

Funding source: Special Fund for Clinical Research of the Wu Jieping Medical Foundation

Award Identifier / Grant number: 320.6750.2020-04-07

Acknowledgments

The authors would like to thank the two anonymous reviewers for their constructive critical remarks and the editors of Clinical Chemistry and Laboratory Medicine for their kind suggestions and assistance along with all of the authors of the previous works that we referenced. These contributions helped significantly to refine and improve the content and the presentation of the paper.

  1. Research funding: This work was supported by the Specially Appointed Medical Expert Project of the Jiangsu Commission of Health (2019) and Special Fund for Clinical Research of the Wu Jieping Medical Foundation (320.6750.2020-04-07). This study was also supported by the Scientific Research Support Foundation for Top Young Scholars at the Children’s Hospital of Nanjing Medical University (2020).

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Informed consent was not required to participate in this study in accordance with the national legislation and the institutional requirements.

  5. Ethical approval: Research involving human subjects complied with all relevant national regulations, institutional policies and is in accordance with the tenets of the Helsinki Declaration (as revised in 2013), and has been approved by the authors’ Institutional Review Board (202012146-1).

References

1. Long, JY, Guo, HL, He, X, Hu, YH, Xia, Y, Cheng, R, et al.. Caffeine for the pharmacological treatment of apnea of prematurity in the NICU: dose selection conundrum, therapeutic drug monitoring and genetic factors. Front Pharmacol 2021;12:681842. https://doi.org/10.3389/fphar.2021.681842.Search in Google Scholar PubMed PubMed Central

2. Dai, HR, Guo, HL, Hu, YH, Xu, J, Ding, XS, Cheng, R, et al.. Precision caffeine therapy for apnea of prematurity and circadian rhythms: new possibilities open up. Front Pharmacol 2022;13:1053210. https://doi.org/10.3389/fphar.2022.1053210.Search in Google Scholar PubMed PubMed Central

3. Saroha, V, Patel, RM. Caffeine for preterm infants: fixed standard dose, adjustments for age or high dose? Semin Fetal Neonatal Med 2020;25:101178. https://doi.org/10.1016/j.siny.2020.101178.Search in Google Scholar PubMed PubMed Central

4. Dai, HR, Liu, Y, Lu, KY, He, X, Guo, HL, Hu, YH, et al.. Population pharmacokinetic modeling of caffeine in preterm infants with apnea of prematurity: new findings from concomitant erythromycin and AHR genetic polymorphisms. Pharmacol Res 2022;184:106416. https://doi.org/10.1016/j.phrs.2022.106416.Search in Google Scholar PubMed

5. Rodgers, A, Singh, C. Specialist neonatal respiratory care for babies born preterm (NICE guideline 124): a review. Arch Dis Child Educ Pract Ed 2020;105:355–7. https://doi.org/10.1136/archdischild-2019-317461.Search in Google Scholar PubMed

6. Wang, J, Zhang, YY, Guo, HL, Hu, YH, Lu, XP, Wang, SS, et al.. Rapid determination of plasma vigabatrin by LC-ESI-MS/MS supporting therapeutic drug monitoring in children with infantile spasms. Anal Methods 2023;15:1365–77. https://doi.org/10.1039/d2ay02017c.Search in Google Scholar PubMed

7. Dai, HR, Hu, YH, Long, JY, Xia, Y, Guo, HL, Xu, J, et al.. LC-MS/MS assay for the therapeutic drug monitoring of perampanel in children with drug-resistant epilepsy. Acta Chromatogr 2023;35:149–60. https://doi.org/10.1556/1326.2022.01023.Search in Google Scholar

8. Aranda, JV, Beharry, KD. Pharmacokinetics, pharmacodynamics and metabolism of caffeine in newborns. Semin Fetal Neonatal Med 2020;25:101183. https://doi.org/10.1016/j.siny.2020.101183.Search in Google Scholar PubMed

9. van Groen, BD, Nicolai, J, Kuik, AC, Van Cruchten, S, van Peer, E, Smits, A, et al.. Ontogeny of hepatic transporters and drug-metabolizing enzymes in humans and in nonclinical species. Pharmacol Rev 2021;73:597–678. https://doi.org/10.1124/pharmrev.120.000071.Search in Google Scholar PubMed

10. Jiang, Z, Gao, X, Liang, J, Ni, S. Simultaneous quantitation of serum caffeine and its metabolites by ultra-high-performance liquid chromatography-tandem mass spectrometry for CYP1A2 activity prediction in premature infants. Biomed Chromatogr 2021;35:e5141. https://doi.org/10.1002/bmc.5141.Search in Google Scholar PubMed

11. Long, JY, Hu, YH, Xia, Y, Du, FF, Dai, HR, Tian, M, et al.. Therapeutic drug monitoring of caffeine and its primary metabolites in plasma using LC-ESI-MS/MS for apnea of prematurity treatment: evaluation of ultrapure water as a surrogate matrix. Biomed Chromatogr 2022;36:e5462. https://doi.org/10.1002/bmc.5462.Search in Google Scholar PubMed

12. Cui, JJ, Wang, LY, Tan, ZR, Zhou, HH, Zhan, X, Yin, JY. Mass spectrometry-based personalized drug therapy. Mass Spectrom Rev 2020;39:523–52. https://doi.org/10.1002/mas.21620.Search in Google Scholar PubMed

13. De Rose, DU, Cairoli, S, Dionisi, M, Santisi, A, Massenzi, L, Goffredo, BM, et al.. Therapeutic drug monitoring is a feasible tool to personalize drug administration in neonates using new techniques: an overview on the pharmacokinetics and pharmacodynamics in neonatal age. Int J Mol Sci 2020;21:5898. https://doi.org/10.3390/ijms21165898.Search in Google Scholar PubMed PubMed Central

14. Gassner, AL, Schappler, J, Feinberg, M, Rudaz, S. Derivation of uncertainty functions from validation studies in biological fluids: application to the analysis of caffeine and its major metabolites in human plasma samples. J Chromatogr A 2014;1353:121–30. https://doi.org/10.1016/j.chroma.2014.05.047.Search in Google Scholar PubMed

15. Chen, F, Hu, ZY, Parker, RB, Laizure, SC. Measurement of caffeine and its three primary metabolites in human plasma by HPLC-ESI-MS/MS and clinical application. Biomed Chromatogr 2017;31:e3900. https://doi.org/10.1002/bmc.3900.Search in Google Scholar PubMed PubMed Central

16. Wen, SY, Ma, H, Chen, XL, Zhao, Y, Liu, Y, Li, Y, et al.. Determination of caffeine, paraxanthine, theophylline and theobromine in premature infants by HILIC-MS/MS. Bioanalysis 2022;14:1497–508. https://doi.org/10.4155/bio-2022-0131.Search in Google Scholar PubMed

17. Lajin, B, Schweighofer, N, Goessler, W, Obermayer-Pietsch, B. The determination of the Paraxanthine/Caffeine ratio as a metabolic biomarker for CYP1A2 activity in various human matrices by UHPLC-ESIMS/MS. Talanta 2021;234:122658. https://doi.org/10.1016/j.talanta.2021.122658.Search in Google Scholar PubMed

18. Weimann, A, Sabroe, M, Poulsen, HE. Measurement of caffeine and five of the major metabolites in urine by high-performance liquid chromatography/tandem mass spectrometry. J Mass Spectrom 2005;40:307–16. https://doi.org/10.1002/jms.785.Search in Google Scholar PubMed

19. Rybak, ME, Pao, CI, Pfeiffer, CM. Determination of urine caffeine and its metabolites by use of high-performance liquid chromatography-tandem mass spectrometry: estimating dietary caffeine exposure and metabolic phenotyping in population studies. Anal Bioanal Chem 2014;406:771–84. https://doi.org/10.1007/s00216-013-7506-9.Search in Google Scholar PubMed

20. Lad, R. Validation of individual quantitative methods for determination of cytochrome P450 probe substrates in human dried blood spots with HPLC-MS/MS. Bioanalysis 2010;2:1849–61. https://doi.org/10.4155/bio.10.155.Search in Google Scholar PubMed

21. Bosilkovska, M, Deglon, J, Samer, C, Walder, B, Desmeules, J, Staub, C, et al.. Simultaneous LC-MS/MS quantification of P-glycoprotein and cytochrome P450 probe substrates and their metabolites in DBS and plasma. Bioanalysis 2014;6:151–64. https://doi.org/10.4155/bio.13.289.Search in Google Scholar PubMed

22. De Kesel, PM, Lambert, WE, Stove, CP. CYP1A2 phenotyping in dried blood spots and microvolumes of whole blood and plasma. Bioanalysis 2014;6:3011–24. https://doi.org/10.4155/bio.14.149.Search in Google Scholar PubMed

23. Bruschettini, M, Barco, S, Romantsik, O, Risso, F, Gennai, I, Chinea, B, et al.. DBS-LC-MS/MS assay for caffeine: validation and neonatal application. Bioanalysis 2016;8:1893–902. https://doi.org/10.4155/bio-2016-0127.Search in Google Scholar PubMed

24. Page-Sharp, M, Strunk, T, Salman, S, Hibbert, J, Patole, SK, Manning, L, et al.. Simultaneous determination of pentoxifylline, metabolites M1 (lisofylline), M4 and M5, and caffeine in plasma and dried blood spots for pharmacokinetic studies in preterm infants and neonates. J Pharm Biomed Anal 2017;146:302–13. https://doi.org/10.1016/j.jpba.2017.08.030.Search in Google Scholar PubMed

25. Mian, P, Flint, RB, Tibboel, D, van den Anker, JN, Allegaert, K, Koch, BCP. Therapeutic drug monitoring in neonates: what makes them unique? Curr Pharmaceut Des 2017;23:5790–800. https://doi.org/10.2174/1381612823666170926143820.Search in Google Scholar PubMed

26. Hutchinson, L, Sinclair, M, Reid, B, Burnett, K, Callan, B. A descriptive systematic review of salivary therapeutic drug monitoring in neonates and infants. Br J Clin Pharmacol 2018;84:1089–108. https://doi.org/10.1111/bcp.13553.Search in Google Scholar PubMed PubMed Central

27. Malsagova, K, Kopylov, A, Stepanov, A, Butkova, T, Izotov, A, Kaysheva, A. Dried blood spot in laboratory: directions and prospects. Diagnostics 2020;10:248. https://doi.org/10.3390/diagnostics10040248.Search in Google Scholar PubMed PubMed Central

28. Londhe, V, Rajadhyaksha, M. Opportunities and obstacles for microsampling techniques in bioanalysis: Special focus on DBS and VAMS. J Pharm Biomed Anal 2020;182:113102. https://doi.org/10.1016/j.jpba.2020.113102.Search in Google Scholar PubMed

29. Velghe, S, Delahaye, L, Stove, CP. Is the hematocrit still an issue in quantitative dried blood spot analysis? J Pharm Biomed Anal 2019;163:188–96. https://doi.org/10.1016/j.jpba.2018.10.010.Search in Google Scholar PubMed

30. Xu, XY, Ge, XL, Wang, GF, Wu, W, Zhai, XW, Xu, H, et al.. Reliability and feasibility of home-based dried blood spot in therapeutic drug monitoring: a systematic review and meta-analysis. Eur J Clin Pharmacol 2023;79:183–93. https://doi.org/10.1007/s00228-022-03417-9.Search in Google Scholar PubMed

31. Tey, HY, See, HH. A review of recent advances in microsampling techniques of biological fluids for therapeutic drug monitoring. J Chromatogr A 2021;1635:461731. https://doi.org/10.1016/j.chroma.2020.461731.Search in Google Scholar PubMed

32. Leuthold, LA, Heudi, O, Deglon, J, Raccuglia, M, Augsburger, M, Picard, F, et al.. New microfluidic-based sampling procedure for overcoming the hematocrit problem associated with dried blood spot analysis. Anal Chem 2015;87:2068–71. https://doi.org/10.1021/ac503931g.Search in Google Scholar PubMed

33. U.S. Food and Drug Administration. Bioanalytical method validation: guidance for industry; 2018. https://www.fda.gov/regulatory-information/search-fda-guidance-documents/bioanalytical-method-validation-guidance-industry [Accessed 30 Jan 2023].Search in Google Scholar

34. European Medicines Agency. Guideline on bioanalytical method validation; 2015. https://www.ema.europa.eu/en/bioanalytical-method-validation-scientific-guideline [Accessed 30 Jan 2023].Search in Google Scholar

35. International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use. ICH harmonised guideline M10 bioanalytical method validation and study sample analysis; 2022. https://database.ich.org/sites/default/files/M10_Guideline_Step4_2022_0524.pdf [Accessed 30 Jan 2023].Search in Google Scholar

36. Timmerman, P, White, S, Globig, S, Ludtke, S, Brunet, L, Smeraglia, J. EBF recommendation on the validation of bioanalytical methods for dried blood spots. Bioanalysis 2011;3:1567–75. https://doi.org/10.4155/bio.11.132.Search in Google Scholar PubMed

37. Timmerman, P, White, S, Cobb, Z, de Vries, R, Thomas, E, van Baar, B. Update of the EBF recommendation for the use of DBS in regulated bioanalysis integrating the conclusions from the EBF DBS-microsampling consortium. Bioanalysis 2013;5:2129–36. https://doi.org/10.4155/bio.13.173.Search in Google Scholar PubMed

38. He, X, Qiu, JC, Lu, KY, Guo, HL, Li, L, Jia, WW, et al.. Therapy for apnoea of prematurity: a retrospective study on effects of standard dose and genetic variability on clinical response to caffeine citrate in Chinese preterm infants. Adv Ther 2021;38:607–26. https://doi.org/10.1007/s12325-020-01544-2.Search in Google Scholar PubMed

39. Guo, HL, Long, JY, Hu, YH, Liu, Y, He, X, Li, L, et al.. Caffeine therapy for apnea of prematurity: role of the circadian CLOCK gene polymorphism. Front Pharmacol 2022;12:724145. https://doi.org/10.3389/fphar.2021.724145.Search in Google Scholar PubMed PubMed Central

40. Li, L, Tian, D, Chen, F, Yang, J, Yu, K, Sun, Y. Strategies for improving the quantitative bioanalytical performance of LC-MS in pharmacokinetic studies. Curr Drug Metab 2012;13:1206–12. https://doi.org/10.2174/138920012803341320.Search in Google Scholar PubMed

41. Nasiri, A, Jahani, R, Mokhtari, S, Yazdanpanah, H, Daraei, B, Faizi, M, et al.. Overview, consequences, and strategies for overcoming matrix effects in LC-MS analysis: a critical review. Analyst 2021;146:6049–63. https://doi.org/10.1039/d1an01047f.Search in Google Scholar PubMed

42. Abu-Rabie, P, Denniff, P, Spooner, N, Chowdhry, BZ, Pullen, FS. Investigation of different approaches to incorporating internal standard in DBS quantitative bioanalytical workflows and their effect on nullifying hematocrit-based assay bias. Anal Chem 2015;87:4996–5003. https://doi.org/10.1021/acs.analchem.5b00908.Search in Google Scholar PubMed

43. Luginbuhl, M, Gaugler, S. The application of fully automated dried blood spot analysis for liquid chromatography-tandem mass spectrometry using the CAMAG DBS-MS 500 autosampler. Clin Biochem 2020;82:33–9. https://doi.org/10.1016/j.clinbiochem.2020.02.007.Search in Google Scholar PubMed

44. Shen, J, Wang, H, Huang, H, Li, H, Li, C, Yan, C, et al.. Absolute quantitative analysis of endogenous neurotransmitters and amino acids by liquid chromatography-tandem mass spectrometry combined with multidimensional adsorption and collision energy defect. J Chromatogr A 2021;1638:461867. https://doi.org/10.1016/j.chroma.2020.461867.Search in Google Scholar PubMed


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2023-0310).


Received: 2023-03-27
Accepted: 2023-07-04
Published Online: 2023-07-13
Published in Print: 2024-01-26

© 2023 Walter de Gruyter GmbH, Berlin/Boston

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