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GENERAL COMMENTARY article

Front. Pharmacol., 18 February 2022
Sec. Experimental Pharmacology and Drug Discovery

Commentary: Reduction in C-Peptide Levels and Influence on Pharmacokinetics and Pharmacodynamics of Insulin Preparations: How to Conduct a High-Quality Euglycemic Clamp Study

Hui LiuHui Liu1Hongling YuHongling Yu2Ting LiTing Li2Yerong Yu
Yerong Yu2*
  • 1Department of General Practice, West China Hospital of Sichuan University, Chengdu, China
  • 2Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, China

In a recent issue of this journal, Yi Tao and coworkers published a comprehensive article (Tao et al., 2021) focusing on the effect of C-peptide in a euglycemic clamp on the evaluation of the pharmacokinetics (PK) and pharmacodynamics (PD) of insulin preparations, therefore elucidating the method to perform a high-quality euglycemic clamp.

We completely agree that suppression of endogenous insulin is of paramount importance in euglycemic clamp in healthy volunteers (European Medicines Agency, 2015; Heise et al., 2016). The topic of evaluating the reduction of postdose C-peptide and its influence on the PK/PD of the study preparations is interesting and deserves research. The work by Tao et al. (2021) included a total of 39 euglycemic clamps lasting for up to 24 h evaluating the PK/PD of insulin glargine in healthy volunteers. These volunteers were divided into three groups according to the reduction of C-peptide levels: group A (ratio of C-peptide reduction <30%, n = 13), group B (ratio of C-peptide reduction between ≥30% and <50%, n = 15), and group C (ratio of C-peptide reduction ≥50%, n = 11). The PK/PD of insulin glargine and the clamp quality index were compared among the three groups.

This article is of significance considering improving the quality of the clamp study. In this letter, based on the reported studies and our experiences (Heise et al., 2016; Li et al., 2012; Liu et al., 2021; Li et al., 2021), we intend to provide different opinions on the method and some results of this article. First, the EMA guideline recommends using specific assays that are capable of distinguishing between exogenous and endogenous insulin to determine the concentration of insulin analogs (European Medicines Agency, 2015). In the published work by Yi Tao and colleagues, the insulin glargine level was determined by a validated liquid chromatography–tandem mass spectrometry (LC-MS) method which is known for its specificity and has been used in the bioanalysis of peptides, including insulin and insulin analogs (Xu et al., 2017; Xu et al., 2014; Thomas et al., 2014). In the previous report, Xu et al. (2014) conducted selectivity experiments for the LC-MS/MS assay, demonstrating no cross-talk among glargine, M1, M2, bovine insulin, and human insulin at the 50 ng/ml level of each analyte. No interference was detected from multiple lots of human plasma, including those from diabetic patients. In addition, spiking 500 μU/ml human insulin did not have any impact on the assay results. As a result, in the analytical method applied to determine insulin glargine level in the work by Yi Tao and coworkers, insulin glargine does not cross-react with endogenous insulin. Second, in the absence of specific assays for insulin preparations evaluated by euglycemic clamps employing healthy volunteers, C-peptide should be measured in parallel to insulin concentrations throughout the experiment. Total insulin concentration should be detected in other nonspecific analytical methods, e.g., a radioimmunoassay method (Zhang et al., 2017; Linnebjerg et al., 2015), and minus the endogenous insulin using the ratio of C-peptide to endogenous insulin by Owen’s method (Owens, 1986) to roughly calculate the exogenously injected insulin. Under these conditions, the different extent of C-peptide inhibition may affect endogenous insulin-corrected PK data, but it still needs to be proved. Third, GIR is recognized as a surrogate for PD in clamp studies. Total glucose infusion quantity is influenced by many factors (e.g., dose of insulin glargine, insulin sensitivity, “clamped” glucose level, absorption kinetics of insulin glargine, and the influence of endogenous insulin). It is no doubt that achieving a higher “clamped” glucose level requires infusing more dextrose. In this published clamp study, the average “clamped” glucose levels were 5.2, 5.1, and 4.8 mmol/L when the target glucose levels were 4.98, 4.99, and 4.90 mmol/L in groups A, B, and C, respectively. The average “clamped” glucose levels were 0.3–0.4 mmol/L higher in groups A and B than those in group C. Not only insufficiently suppressed endogenous insulin but also higher “clamped” glucose levels will likely trigger additional glucose infusion requirements to maintain the blood glucose. Direct comparison of the main PD parameter, the area under the curve of GIR from 0 to 24 h (AUCGIR,0–24 h), without adjustment for other confounding factors invalidates the results. Finally, the study published by Yi Tao and colleagues only included a relatively small sample size (total N = 39), resulting in much smaller samples in subgroups. Previous reports (Heise et al., 2012; Heise et al., 2018) demonstrated that insulin glargine (100 U/ml) showed a higher pharmacodynamic variability, which might indicate a higher variability in pharmacokinetics. The statistical power may not be strong enough to validate the interpretation of the results due to the small sample size. The limited sample size in subgroups raises caution with the interpretation of the results.

Long-acting insulin analogs such as insulin glargine will consistently remain at a relatively low level for a rather long period; therefore, interference of endogenous insulin makes sense in clamp studies conducted in patients with type 2 diabetes or the healthy people. C-peptide will not influence any PK parameters when the bioanalytical method of insulin preparation is performed with high specificity and precision, and free from the interference of endogenous insulin. Aiming to investigate the effect of the extent of C-peptide inhibition on the PK/PD of exogenous insulin preparations, PK data may be obtained from the C-peptide correction method. PK/PD data should also be obtained from a respectable sample size to reflect the real performance of the treatment. Further work is indeed needed.

Author Contributions

HL, HY, and TL searched the literature. HL and YY conceived and wrote the manuscript. All authors contributed to the manuscript and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

European Medicines Agency (2015). Guideline on Non-clinical and Clinical Development of Similar Biological Medicinal Products Containing Recombinant Human Insulin and Insulin Analogues. Available at: https://www.ema.europa.eu/en/non-clinical-clinical-development-similar-biological-medicinal-products-containing-recombinant-human (Accessed November 3, 2015).

Google Scholar

Heise, T., Hermanski, L., Nosek, L., Feldman, A., Rasmussen, S., and Haahr, H. (2012). Insulin Degludec: Four Times Lower Pharmacodynamic Variability Than Insulin Glargine under Steady-State Conditions in Type 1 Diabetes. Diabetes Obes. Metab. 14, 859–864. doi:10.1111/j.1463-1326.2012.01627.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Heise, T., Kaplan, K., and Haahr, H. L. (2018). Day-to-Day and Within-Day Variability in Glucose-Lowering Effect between Insulin Degludec and Insulin Glargine (100 U/mL and 300 U/mL): A Comparison across Studies. J. Diabetes Sci. Technol. 12, 356–363. doi:10.1177/1932296817731422

PubMed Abstract | CrossRef Full Text | Google Scholar

Heise, T., Zijlstra, E., Nosek, L., Heckermann, S., Plum-Mörschel, L., and Forst, T. (2016). Euglycaemic Glucose Clamp: what it Can and Cannot Do, and How to Do it. Diabetes Obes. Metab. 18, 962–972. doi:10.1111/dom.12703

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, J., Wang, Y., Han, L., Sun, X., Yu, H., and Yu, Y. (2012). Time-action Profile of an Oral Enteric Insulin Formulation in Healthy Chinese Volunteers. Clin. Ther. 34, 2333–2338. doi:10.1016/j.clinthera.2012.11.004

PubMed Abstract | CrossRef Full Text | Google Scholar

Li, T., Liu, H., Yu, H., Qiao, J., Sun, L., and Yu, Y. (2021). Interindividual Variability in the Pharmacodynamic and Pharmacokinetic Characteristics of Recombinant Human Insulin and Insulin Aspart. Clin. Ther. 43, 594–e1. doi:10.1016/j.clinthera.2021.01.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Linnebjerg, H., Lam, E. C., Seger, M. E., Coutant, D., Chua, L., Chong, C. L., et al. (2015). Comparison of the Pharmacokinetics and Pharmacodynamics of LY2963016 Insulin Glargine and EU- and US-Approved Versions of Lantus Insulin Glargine in Healthy Subjects: Three Randomized Euglycemic Clamp Studies. Diabetes Care 38, 2226–2233. doi:10.2337/dc14-2623

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, H., Yu, H., Qiao, J., Sun, L., Li, J., Tan, H., et al. (2021). Oscillations of C-Peptide in the Euglycemic Clamp and Their Effect on the Pharmacodynamic Assessment of Insulin Preparations. Fundam. Clin. Pharmacol. 35, 771–780. doi:10.1111/fcp.12628

PubMed Abstract | CrossRef Full Text | Google Scholar

Owens, D. R. (1986). Human Insulin: Clinical Pharmacological Studies in normal Man. Springer Science & Business Media.

Google Scholar

Tao, Y., Zhu, M., Pu, J., Zhang, P., Wan, L., and Tang, C. (2021). Reduction in C-Peptide Levels and Influence on Pharmacokinetics and Pharmacodynamics of Insulin Preparations: How to Conduct a High-Quality Euglycemic Clamp Study. Front. Pharmacol. 12, 786613. doi:10.3389/fphar.2021.786613

PubMed Abstract | CrossRef Full Text | Google Scholar

Thomas, A., Schänzer, W., and Thevis, M. (2014). Determination of Human Insulin and its Analogues in Human Blood Using Liquid Chromatography Coupled to Ion Mobility Mass Spectrometry (LC-IM-MS). Drug Test. Anal. 6, 1125–1132. doi:10.1002/dta.1710

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Y., Prohn, M., Cai, X., Crutchlow, M., Shankar, S. S., Bateman, K., et al. (2014). Direct Comparison of Radioimmunoassay and LC-MS/MS for PK Assessment of Insulin Glargine in Clinical Development. Bioanalysis 6, 3311–3323. doi:10.4155/bio.14.219

PubMed Abstract | CrossRef Full Text | Google Scholar

Xu, Y., Sun, L., Anderson, M., Bélanger, P., Trinh, V., Lavallée, P., et al. (2017). Insulin Glargine and its Two Active Metabolites: A Sensitive (16pM) and Robust Simultaneous Hybrid Assay Coupling Immunoaffinity Purification with LC-MS/MS to Support Biosimilar Clinical Studies. J. Chromatogr. B Analyt Technol. Biomed. Life Sci. 1063, 50–59. doi:10.1016/j.jchromb.2017.08.018

CrossRef Full Text | Google Scholar

Zhang, X., Lam, E. C. Q., Seger, M. E., Coutant, D., Chua, L., Tan, L. H., et al. (2017). LY2963016 Insulin Glargine and Insulin Glargine (Lantus) Produce Comparable Pharmacokinetics and Pharmacodynamics at Two Dose Levels. Clin. Pharmacol. Drug Dev. 6, 556–563. doi:10.1002/cpdd.392

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: euglycemic clamp, pharmacokinetics, pharmacodynamics, C-peptide, insulin preparations

Citation: Liu H, Yu H, Li T and Yu Y (2022) Commentary: Reduction in C-Peptide Levels and Influence on Pharmacokinetics and Pharmacodynamics of Insulin Preparations: How to Conduct a High-Quality Euglycemic Clamp Study. Front. Pharmacol. 13:843658. doi: 10.3389/fphar.2022.843658

Received: 26 December 2021; Accepted: 14 January 2022;
Published: 18 February 2022.

Edited by:

Salvatore Salomone, University of Catania, Italy

Reviewed by:

Marcus Hompesch, ProSciento, Inc., United States

Copyright © 2022 Liu, Yu, Li and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yerong Yu, yerongyu@scu.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.