Dissipative Particle Dynamics Models of Encapsulated Microbubbles and Nanoscale Gas Vesicles for Biomedical Ultrasound Simulations
Source abstract
Abstract
Ultrasound-guided drug and gene delivery (usdg) enables controlled and spatially precise delivery of drugs and macromolecules, encapsulated in microbubbles (embs) and nanoscale gas vesicles (gvs), to target areas such as cancer tumors. It is a noninvasive, high precision, low toxicity process with drastically reduced drug dosage. Rheological and acoustic properties of gvs and embs critically affect the outcome of usdg and imaging. Detailed understanding and modeling of their physical properties is thus essential for ultrasound-mediated therapeutic applications. State-of-the-art continuum models of shelled bodies cannot incorporate critical details such as varying thickness of the encapsulating shell or specific interactions between its constituents and interior or exterior solvents. Such modeling approaches also do not allow for detailed modeling of chemical surface functionalizations, which are crucial for tuning the gv-blood interactions. We develop a general particle-based modeling framework for encapsulated bodies that accurately captures elastic and rheological properties of gvs and embs at the mesoscopic and nanoscale levels. We use dissipative particle dynamics to model the solvent, the gaseous phase in the capsid, and the triangulated surfaces of immersed objects. Their elastic behavior is studied and validated through stretching and buckling simulations, eigenmode analysis, shear flow simulations, and comparison of predicted gv buckling pressure with published experimental data. The presented modeling approach paves the way for large-scale simulations of nanoscale and microscale encapsulated bodies of different shapes and local anisotropy, capturing their dynamics, interactions, and collective behavior.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Ultrasound and Hyperthermia Applications · Microfluidic and Bio-sensing Technologies · Lattice Boltzmann Simulation Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Laboratory for Molecular Modeling, National Institute of Chemistry, Hajdrihova 19, SI-1001 Ljubljana, Slovenia
Department of Physics, Faculty of Mathematics and Physics, University of Ljubljana, Jadranska 19, SI-1000 Ljubljana, Slovenia
Universitat de Barcelona Institute of Complex Systems, C/Marti i Franques 1, 08028 Barcelona, Spain
Funding
The Slovenian Research and Innovation Agency · H2020 European Research Council
References (100+)
Show source-provided references
1. 10.1007/s13534-017-0016-510.1007/s13534-017-0016-5 ↗
2. 10.1038/nrd141710.1038/nrd1417 ↗
3. 10.1016/j.chemphyslip.2009.08.00310.1016/j.chemphyslip.2009.08.003 ↗
4. 10.1038/nmeth.164110.1038/nmeth.1641 ↗
5. 10.1109/TUFFC.2014.288210.1109/TUFFC.2014.2882 ↗
6. 10.1038/ncomms1419110.1038/ncomms14191 ↗
7. 10.1517/17425247.2012.73960310.1517/17425247.2012.739603 ↗
8. 10.1126/sciadv.add918610.1126/sciadv.add9186 ↗
9. 10.1021/acsnano.3c0194210.1021/acsnano.3c01942 ↗
10. 10.1021/acsanm.4c0218210.1021/acsanm.4c02182 ↗
11. 10.1007/s00466-013-0962-410.1007/s00466-013-0962-4 ↗
12. 10.2174/138920101466613122611461110.2174/1389201014666131226114611 ↗
13. 10.1016/j.addr.2014.01.01210.1016/j.addr.2014.01.012 ↗
14. 10.1002/advs.20190055710.1002/advs.201900557 ↗
15. 10.1109/tbme.2009.203453310.1109/tbme.2009.2034533 ↗
16. 10.1073/pnas.110511610810.1073/pnas.1105116108 ↗
17. 10.7150/thno.557610.7150/thno.5576 ↗
18. 10.1146/annurev.bioeng.8.061505.09585210.1146/annurev.bioeng.8.061505.095852 ↗
19. 10.1021/acsnano.6b0336410.1021/acsnano.6b03364 ↗
20. 10.1063/1.497610510.1063/1.4976105 ↗
21. 10.1016/j.jcmg.2013.08.01210.1016/j.jcmg.2013.08.012 ↗
22. 10.1179/175889709X44650710.1179/175889709X446507 ↗
23. 10.1121/1.475692610.1121/1.4756926 ↗
24. 10.1146/annurev.fluid.40.111406.10211610.1146/annurev.fluid.40.111406.102116 ↗
25. 10.1016/j.watres.2023.11995610.1016/j.watres.2023.119956 ↗
26. 10.1016/j.jsb.2012.04.01510.1016/j.jsb.2012.04.015 ↗
27. 10.9729/AM.2017.47.3.16510.9729/AM.2017.47.3.165 ↗
28. 10.1128/br.36.1.1-32.197210.1128/br.36.1.1-32.1972 ↗
29. 10.1128/mr.58.1.94-144.199410.1128/mr.58.1.94-144.1994 ↗
30. 10.1098/rspb.1971.006710.1098/rspb.1971.0067 ↗
31. 10.1107/S139900471402131210.1107/S1399004714021312 ↗
32. 10.1016/j.ultrasmedbio.2017.08.00410.1016/j.ultrasmedbio.2017.08.004 ↗
33. 10.1021/acsnano.4c0149810.1021/acsnano.4c01498 ↗
34. 10.1016/j.str.2023.03.01110.1016/j.str.2023.03.011 ↗
35. 10.1016/j.cell.2023.01.04110.1016/j.cell.2023.01.041 ↗
36. 10.1099/00221287-144-5-133110.1099/00221287-144-5-1331 ↗
37. 10.1146/annurev-chembioeng-060817-08403410.1146/annurev-chembioeng-060817-084034 ↗
38. 10.1046/j.1540-8175.2002.00229.x10.1046/j.1540-8175.2002.00229.x ↗
39. 10.1016/j.addr.2008.03.01110.1016/j.addr.2008.03.011 ↗
40. 10.1073/pnas.050424310210.1073/pnas.0504243102 ↗
41. 10.1103/PhysRevE.75.06670710.1103/PhysRevE.75.066707 ↗
42. 10.1016/S0006-3495(98)74076-710.1016/S0006-3495(98)74076-7 ↗
43. 10.1529/biophysj.104.04733210.1529/biophysj.104.047332 ↗
44. 10.1103/PhysRevLett.101.11810510.1103/PhysRevLett.101.118105 ↗
45. 10.1088/0953-8984/9/42/00110.1088/0953-8984/9/42/001 ↗
46. Gompper G. · 2004 · 35910.1142/9789812565518_0012 ↗
47. 10.1103/PhysRevE.72.01190110.1103/PhysRevE.72.011901 ↗
48. 10.1016/j.bpj.2010.02.00210.1016/j.bpj.2010.02.002 ↗
49. 10.1016/j.cma.2010.02.00110.1016/j.cma.2010.02.001 ↗
50. 10.1371/journal.pcbi.100227010.1371/journal.pcbi.1002270 ↗
51. 10.1039/C4SM00248B10.1039/C4SM00248B ↗
52. 10.1016/j.medengphy.2015.08.00910.1016/j.medengphy.2015.08.009 ↗
53. 10.1002/fld.376410.1002/fld.3764 ↗
54. 10.1063/1.490095210.1063/1.4900952 ↗
55. 10.1063/1.489635810.1063/1.4896358 ↗
56. Rossinelli, D.; Hejazialhosseini, B.; Hadjidoukas, P.; Bekas, C.; Curioni, A.; Bertsch, A.; Futral, S.; Schmidt, S. J.; Adams, N. A.; Koumoutsakos, P. 11 PFLOP/s simulations of cloud cavitation collapse. In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis, 2013, pp 1–13.10.1145/2503210.2504565 ↗
57. 10.1103/PhysRevFluids.4.06360210.1103/PhysRevFluids.4.063602 ↗
58. 10.1080/1478644080863568110.1080/14786440808635681 ↗
59. 10.1063/1.171105810.1063/1.1711058 ↗
60. 10.1146/annurev-fluid-010518-04035210.1146/annurev-fluid-010518-040352 ↗
61. 10.1016/0041-624X(77)90005-110.1016/0041-624X(77)90005-1 ↗
62. 10.1088/0031-9155/54/6/R0110.1088/0031-9155/54/6/R01 ↗
63. 10.1121/10.003563910.1121/10.0035639 ↗
64. 10.1002/adfm.20200023910.1002/adfm.202000239 ↗
65. 10.1016/j.bpj.2022.09.00410.1016/j.bpj.2022.09.004 ↗
66. 10.1016/j.ultrasmedbio.2016.12.02010.1016/j.ultrasmedbio.2016.12.020 ↗
67. 10.1039/D2SM00493C10.1039/D2SM00493C ↗
68. 10.1063/5.023960710.1063/5.0239607 ↗
69. 10.1016/0041-624X(92)90041-J10.1016/0041-624X(92)90041-J ↗
70. 10.1016/0041-624X(94)90064-710.1016/0041-624X(94)90064-7 ↗
71. 10.1016/0041-624X(94)90065-510.1016/0041-624X(94)90065-5 ↗
72. 10.1121/1.210942710.1121/1.2109427 ↗
73. 10.1098/rspa.2007.036210.1098/rspa.2007.0362 ↗
74. 10.1121/1.354394310.1121/1.3543943 ↗
75. 10.1088/0031-9155/50/22/00610.1088/0031-9155/50/22/006 ↗
76. 10.1088/0031-9155/57/3/78510.1088/0031-9155/57/3/785 ↗
77. 10.1109/TBME.2014.238565110.1109/TBME.2014.2385651 ↗
78. 10.1016/j.cpc.2020.10729810.1016/j.cpc.2020.107298 ↗
79. 10.1209/0295-5075/19/3/00110.1209/0295-5075/19/3/001 ↗
80. Frenkel D. · 2002
81. 10.1007/3-540-35284-8_1110.1007/3-540-35284-8_11 ↗
82. 10.1103/PhysRevE.52.173410.1103/PhysRevE.52.1734 ↗
83. 10.1063/1.47478410.1063/1.474784 ↗
84. 10.1103/PhysRevE.56.167610.1103/PhysRevE.56.1676 ↗
85. 10.1142/S012918310000002X10.1142/S012918310000002X ↗
86. Trofimov, S. Y. Thermodynamic Consistency in Dissipative Particle Dynamics. Ph.D. Thesis, Technische Universiteit Eindhoven, Eindhoven, The Netherlands, 2003.
87. 10.1063/1.219105010.1063/1.2191050 ↗
88. 10.1021/acs.langmuir.0c0257210.1021/acs.langmuir.0c02572 ↗
89. 10.1016/j.colsurfa.2025.13762310.1016/j.colsurfa.2025.137623 ↗
90. 10.1073/pnas.121226810910.1073/pnas.1212268109 ↗
91. 10.1103/PhysRevApplied.15.03406210.1103/PhysRevApplied.15.034062 ↗
92. 10.1103/RevModPhys.57.82710.1103/RevModPhys.57.827 ↗
93. 10.1016/0032-5910(92)88030-L10.1016/0032-5910(92)88030-L ↗
94. 10.1016/S0010-4655(99)00341-010.1016/S0010-4655(99)00341-0 ↗
95. 10.1140/epjst/e2015-02415-x10.1140/epjst/e2015-02415-x ↗
96. 10.1016/j.physrep.2017.05.00710.1016/j.physrep.2017.05.007 ↗
97. 10.1002/adts.20220079610.1002/adts.202200796 ↗
98. 10.1063/1.157947510.1063/1.1579475 ↗
99. 10.1021/ma50003a01910.1021/ma50003a019 ↗
100. 10.1002/prot.34017040810.1002/prot.340170408 ↗