Abstract
Dipeptidyl peptidase-4 (DPP4) plays a crucial role in regulating the bioactivity of glucagon-like peptide-1 (GLP-1) that enhances insulin secretion and pancreatic β-cell proliferation, making it a therapeutic target for type 2 diabetes. Although the crystal structure of DPP4 has been determined, its structure-function mechanism is largely unknown. Here, we examined the biochemical properties of sporadic human DPP4 mutations distal from its catalytic site, among which V486M ablates DPP4 dimerization and causes loss of enzymatic activity. Unbiased molecular dynamics simulations revealed that the distal V486M mutation induces a local conformational collapse in a β-propeller loop (residues 234–260, defined as the flap) and disrupts the dimerization of DPP4. The “open/closed” conformational transitions of the flap whereby capping the active site, are involved in the enzymatic activity of DPP4. Further site-directed mutagenesis guided by theoretical predictions verified the importance of the conformational dynamics of the flap for the enzymatic activity of DPP4. Therefore, the current studies that combined theoretical modeling and experimental identification, provide important insights into the biological function of DPP4 and allow for the evaluation of directed DPP4 genetic mutations before initiating clinical applications and drug development.

Similar content being viewed by others
Log in or create a free account to read this content
Gain free access to this article, as well as selected content from this journal and more on nature.com
or
References
Rohrborn D, Wronkowitz N, Eckel J. DPP4 in diabetes. Front Immunol. 2015;6:386.
Zhong J, Maiseyeu A, Davis SN, Rajagopalan S. DPP4 in cardiometabolic disease: recent insights from the laboratory and clinical trials of DPP4 inhibition. Circ Res. 2015;116:1491–504.
Gorrell MD. Dipeptidyl peptidase IV and related enzymes in cell biology and liver disorders. Clin Sci. 2005;108:277–92.
Deacon CF. Physiology and pharmacology of DPP-4 in glucose homeostasis and the treatment of type 2 diabetes. Front Endocrinol. 2019;10:80.
Gorrell MD, Gysbers V, McCaughan GW. CD26: a multifunctional integral membrane and secreted protein of activated lymphocytes. Scand J Immunol. 2001;54:249-64.
Elmansi AM, Awad ME, Eisa NH, Kondrikov D, Hussein KA, Aguilar-Perez A, et al. What doesn’t kill you makes you stranger: dipeptidyl peptidase-4 (CD26) proteolysis differentially modulates the activity of many peptide hormones and cytokines generating novel cryptic bioactive ligands. Pharmacol Ther. 2019;198:90–108.
Li N, Wang LJ, Jiang B, Li XQ, Guo CL, Guo SJ, et al. Recent progress of the development of dipeptidyl peptidase-4 inhibitors for the treatment of type 2 diabetes mellitus. Eur J Med Chem. 2018;151:145–57.
Trzaskalski NA, Fadzeyeva E, Mulvihill EE. Dipeptidyl peptidase-4 at the interface between inflammation and metabolism. Clin Med Insights Endocrinol Diabetes. 2020;13:1179551420912972.
Chien CH, Huang LH, Chou CY, Chen YS, Han YS, Chang GG, et al. One site mutation disrupts dimer formation in human DPP-IV proteins. J Biol Chem. 2004;279:52338–45.
Rasmussen HB, Branner S, Wiberg FC, Wagtmann N. Crystal structure of human dipeptidyl peptidase IV/CD26 in complex with a substrate analog. Nat Struct Biol. 2003;10:19–25.
Engel M, Hoffmann T, Wagner L, Wermann M, Heiser U, Kiefersauer R, et al. The crystal structure of dipeptidyl peptidase IV (CD26) reveals its functional regulation and enzymatic mechanism. Proc Natl Acad Sci USA. 2003;100:5063–68.
Tang HK, Chen KC, Liou GG, Cheng SC, Chien CH, Tang HY, et al. Role of a propeller loop in the quaternary structure and enzymatic activity of prolyl dipeptidases DPP-IV and DPP9. FEBS Lett. 2011;585:3409–14.
Do PC, Lee EH, Le L. Steered molecular dynamics simulation in rational drug design. J Chem Inf Model. 2018;58:1473–82.
Liu X, Shi D, Zhou S, Liu H, Liu H, Yao X. Molecular dynamics simulations and novel drug discovery. Expert Opin Drug Discov. 2018;13:23–37.
Wade RC, Salo-Ahen OMH. Molecular modeling in drug design. Molecules. 2019;24:321.
Hollingsworth SA, Dror RO. Molecular dynamics simulation for all. Neuron. 2018;99:1129–43.
McCoy MD, Shivakumar V, Nimmagadda S, Jafri MS, Madhavan S. SNP2SIM: a modular workflow for standardizing molecular simulation and functional analysis of protein variants. BMC Bioinforma. 2019;20:171.
Azadi S, Tafazzoli-Shadpour M, Omidvar R. Steered molecular dynamics simulation study of quantified effects of point mutation induced by breast cancer on mechanical behavior of E-cadherin. Mol Biol. 2018;52:723–31.
Zhang C, Feng LJ, Huang Y, Wu D, Li Z, Zhou Q, et al. Discovery of novel phosphodiesterase-2A inhibitors by structure-based virtual screening, structural optimization, and bioassay. J Chem Inf Model. 2017;57:355–64.
Hucke O, Coulombe R, Bonneau P, Bertrand-Laperle M, Brochu C, Gillard J, et al. Molecular dynamics simulations and structure-based rational design lead to allosteric HCV NS5B polymerase thumb pocket 2 inhibitor with picomolar cellular replicon potency. J Med Chem. 2014;57:1932–43.
Spahn V, Del Vecchio G, Labuz D, Rodriguez-Gaztelumendi A, Massaly N, Temp J, et al. A nontoxic pain killer designed by modeling of pathological receptor conformations. Science. 2017;355:966–9.
Zimmerman MI, Porter JR, Ward MD, Singh S, Vithani N, Meller A, et al. SARS-CoV-2 simulations go exascale to predict dramatic spike opening and cryptic pockets across the proteome. Nat Chem. 2021;13:651–9.
Meduru H, Wang YT, Tsai JJ, Chen YC. Finding a potential dipeptidyl peptidase-4 (DPP-4) inhibitor for type-2 diabetes treatment based on molecular docking, pharmacophore generation, and molecular dynamics simulation. Int J Mol Sci. 2016;17:920.
Hou H, Wang Y, Li C, Wang J, Cao Y. Dipeptidyl peptidase-4 is a target protein of epigallocatechin-3-gallate. Biomed Res Int. 2020;2020:5370759.
Zhao DD, Zhao SQ, Wang X, Su MB, Liu W, Ma QY, et al. Clinical and physiological characterization of elevated plasma glucagon-like peptide-1 levels (hyperglipemia) in a dipeptidyl peptidase iv mutation carrier. Front Endocrinol. 2018;9:62.
Kaelin DE, Smenton AL, Eiermann GJ, He H, Leiting B, Lyons KA, et al. 4-arylcyclohexylalanine analogs as potent, selective, and orally active inhibitors of dipeptidyl peptidase IV. Bioorg Med Chem Lett. 2007;17:5806–11.
Waterhouse A, Bertoni M, Bienert S, Studer G, Tauriello G, Gumienny R, et al. SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 2018;46:W296–W303.
DeLano WL. The PyMOL user’s manual. San Carlos, CA: DeLano Scientific; 2002. p. 452.
Anandakrishnan R, Aguilar B, Onufriev AV. H++ 3.0: automating pK prediction and the preparation of biomolecular structures for atomistic molecular modeling and simulations. Nucleic Acids Res. 2012;40:W537–41.
Aliev AE, Kulke M, Khaneja HS, Chudasama V, Sheppard TD, Lanigan RM. Motional timescale predictions by molecular dynamics simulations: case study using proline and hydroxyproline sidechain dynamics. Proteins. 2014;82:195–215.
Ryckaert JP, Ciccotti G, Berendsen HJ. Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes. J Comput Phys. 1977;23:327–41.
Darden T, York D, Pedersen L. Particle mesh Ewald: An N⋅log (N) method for Ewald sums in large systems. J Chem Phys. 1993;98:10089–92.
Burness CB. Omarigliptin: first global approval. Drugs. 2015;75:1947–52.
Holst JJ, Deacon CF. Inhibition of the activity of dipeptidyl-peptidase IV as a treatment for type 2 diabetes. Diabetes. 1998;47:1663–70.
Mulvihill EE, Varin EM, Gladanac B, Campbell JE, Ussher JR, Baggio LL, et al. Cellular sites and mechanisms linking reduction of dipeptidyl peptidase-4 activity to control of incretin hormone action and glucose homeostasis. Cell Metab. 2017;25:152–65.
Silva Junior WS, Souza M, Kraemer-Aguiar LG. Dipeptidyl peptidase 4 (DPP4), adipose inflammation, and insulin resistance: is it time to look to the hepatocyte? Hepatobiliary Surg Nutr. 2018;7:499–500.
Baggio LL, Varin EM, Koehler JA, Cao X, Lokhnygina Y, Stevens SR, et al. Plasma levels of DPP4 activity and sDPP4 are dissociated from inflammation in mice and humans. Nat Commun. 2020;11:3766.
Fen Z, Ni Y, Nagashimada M, Nagata N, Xu L, Mukaida N, et al. DPP-4 inhibition by linagliptin attenuates obesity-related inflammation and insulin resistance by regulating M1/M2 macrophage polarization. Diabetes. 2016;65:2966–79.
Barreira da Silva R, Laird ME, Yatim N, Fiette L, Ingersoll MA, Albert ML. Dipeptidylpeptidase 4 inhibition enhances lymphocyte trafficking, improving both naturally occurring tumor immunity and immunotherapy. Nat Immunol. 2015;16:850–8.
Hollande C, Boussier J, Ziai J, Nozawa T, Bondet V, Phung W, et al. Inhibition of the dipeptidyl peptidase DPP4 (CD26) reveals IL-33-dependent eosinophil-mediated control of tumor growth. Nat Immunol. 2019;20:257–64.
Varin EM, Mulvihill EE, Beaudry JL, Pujadas G, Fuchs S, Tanti JF, et al. Circulating levels of soluble dipeptidyl peptidase-4 are dissociated from inflammation and induced by enzymatic DPP4 inhibition. Cell Metab. 2019;29:320–34. e5
Bouchard L, Faucher G, Tchernof A, Deshaies Y, Lebel S, Hould FS, et al. Comprehensive genetic analysis of the dipeptidyl peptidase-4 gene and cardiovascular disease risk factors in obese individuals. Acta Diabetol. 2009;46:13–21.
Bohm A, Wagner R, Machicao F, Holst JJ, Gallwitz B, Stefan N, et al. DPP4 gene variation affects GLP-1 secretion, insulin secretion, and glucose tolerance in humans with high body adiposity. PLoS One. 2017;12:e0181880.
Marguet D, Baggio L, Kobayashi T, Bernard AM, Pierres M, Nielsen PF, et al. Enhanced insulin secretion and improved glucose tolerance in mice lacking CD26. Proc Natl Acad Sci USA. 2000;97:6874–9.
Szeltner Z, Juhasz T, Szamosi I, Rea D, Fulop V, Modos K, et al. The loops facing the active site of prolyl oligopeptidase are crucial components in substrate gating and specificity. Biochim Biophys Acta. 2013;1834:98–111.
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 92057116), the National Science and Technology Major Project (2018ZX09711002-018), the Strategic Priority Research Program of Chinese Academy of Sciences grant (XDA12040204), the Shanghai Commission of Science and Technology (18431900900), and National Key R&D Program of China (2016YFA0502301 and 2017YFB0202601). The molecular dynamics simulations were partially run at the TianHe 1 supercomputer in Tianjin and TianHe 2 supercomputer in Guangzhou.
Author information
Authors and Affiliations
Contributions
JYL and WLZ put forward to conception and contributed to research design. TTL planned and carried out the biochemistry experiments and analyzed the data. MBS participated in the enzymatic experiments. CP performed molecular dynamics simulations and analyzed the data. ZJX participated in the molecular dynamics simulations experimental design. JQW contributed clinical flowing-up data of DPP4-V486M carrier and project discussion. JL contributed reagents and analytic tools. TTL and CP contributed to writing the paper, and JYL and WLZ reviewed/edited the paper.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Li, Tt., Peng, C., Wang, Jq. et al. Distal mutation V486M disrupts the catalytic activity of DPP4 by affecting the flap of the propeller domain. Acta Pharmacol Sin 43, 2147–2155 (2022). https://doi.org/10.1038/s41401-021-00818-x
Received:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41401-021-00818-x
Keywords
This article is cited by
-
Deep learning-based dipeptidyl peptidase IV inhibitor screening, experimental validation, and GaMD/LiGaMD analysis
BMC Biology (2025)
-
Screening and analysis of malt pentapeptide DPP-IV inhibitory activity
npj Science of Food (2025)


