journal article·2022-12Open access

Visualization of the Dynamics of Invasion and Intravasation of the Bacterium That Causes Lyme Disease in a Tissue Engineered Dermal Microvessel Model

Zhaobin Guo, Nan Zhao, Tracy D. Chung, Anjan Singh, Ikshu Pandey, Linus Wang, Xinyue Gu, Aisha Ademola, Raleigh M. Linville, Utpal Pal, J. Stephen Dumler, Peter C. Searson

Advanced Science· Volume 9· Issue 35

Abstract

Abstract Lyme disease is a tick‐borne disease prevalent in North America, Europe, and Asia. Despite the accumulated knowledge from epidemiological, in vitro, and in animal studies, the understanding of dissemination of vector‐borne pathogens, such as Borrelia burgdorferi (Bb), remains incomplete with several important knowledge gaps, especially related to invasion and intravasation into circulation. To elucidate the mechanistic details of these processes a tissue‐engineered human dermal microvessel model is developed. Fluorescently labeled Bb are injected into the extracellular matrix (ECM) to mimic tick inoculation. High resolution, confocal imaging is performed to visualize the sub‐acute phase of infection. From analysis of migration paths no evidence to support adhesin‐mediated interactions between Bb and ECM components is found, suggesting that collagen fibers serve as inert obstacles to migration. Intravasation occurs at cell–cell junctions and is relatively fast, consistent with Bb swimming in ECM. In addition, it is found that Bb alone can induce endothelium activation, resulting in increased immune cell adhesion but no changes in global or local permeability. Together these results provide new insight into the minimum requirements for Bb dissemination and highlight how tissue‐engineered models are complementary to animal models in visualizing dynamic processes associated with vector‐borne pathogens.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Vector-borne infectious diseases · Exercise and Physiological Responses · Heat shock proteins research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute for Nanobiotechnology Johns Hopkins University 3400 N Charles St Baltimore MD 21218 USA

Department of Biomedical Engineering Johns Hopkins University 3400 N Charles St Baltimore MD 21218 USA

Department of Materials Science and Engineering Johns Hopkins University 3400 N Charles St Baltimore MD 21218 USA

Department of Applied Mathematics and Statistics Johns Hopkins University 3400 N Charles St Baltimore MD 21218 USA

Department of Chemistry University of South Florida 4202 E Fowler Ave Tampa FL 33620 USA

Department of Veterinary Medicine The University of Maryland, College Park 8075 Greenmead Dr College Park MD 20740 USA

Joint Department of Pathology School of Medicine Uniformed Services University of the Health Sciences 4301 Jones Bridge Rd Bethesda MD 20814 USA

Funding

Congressionally Directed Medical Research Programs

References (54)

Show source-provided references
1. 10.1038/nrdp.2016.9010.1038/nrdp.2016.90 ↗
2. 10.1542/pir.35.12.50010.1542/pir.35.12.500 ↗
3. 10.3201/eid2702.20273110.3201/eid2702.202731 ↗
4. 10.3201/eid2702.20272810.3201/eid2702.202728 ↗
5. 10.1136/bmj.m104110.1136/bmj.m1041 ↗
6. 10.3389/fmed.2021.66655410.3389/fmed.2021.666554 ↗
7. 10.1007/978-1-4939-7383-5_2010.1007/978-1-4939-7383-5_20 ↗
8. Bockenstedt L. K. · Yale J. Biol. Med. · 2014 · 87 · 3
9. 10.1371/journal.ppat.100925610.1371/journal.ppat.1009256 ↗
10. Chaconas G. · Curr. Issues Mol. Biol. · 2021 · 42 · 385
11. 10.1111/j.1365-2958.2011.07801.x10.1111/j.1365-2958.2011.07801.x ↗
12. 10.1371/journal.ppat.100533310.1371/journal.ppat.1005333 ↗
13. 10.1038/ni.185510.1038/ni.1855 ↗
14. 10.1073/pnas.140476911110.1073/pnas.1404769111 ↗
15. 10.1371/journal.ppat.100009010.1371/journal.ppat.1000090 ↗
16. 10.1111/mmi.1204510.1111/mmi.12045 ↗
17. 10.1371/journal.ppat.100016910.1371/journal.ppat.1000169 ↗
18. 10.1073/pnas.161500711410.1073/pnas.1615007114 ↗
19. 10.1073/pnas.111436210910.1073/pnas.1114362109 ↗
20. 10.1038/s41598-018-20208-410.1038/s41598-018-20208-4 ↗
21. 10.1038/s41598-019-50193-110.1038/s41598-019-50193-1 ↗
22. 10.1038/s41578-019-0169-110.1038/s41578-019-0169-1 ↗
23. 10.1016/j.biomaterials.2018.10.02310.1016/j.biomaterials.2018.10.023 ↗
24. 10.1128/AEM.01913-0610.1128/AEM.01913-06 ↗
25. 10.1007/978-1-4939-7383-5_510.1007/978-1-4939-7383-5_5 ↗
26. 10.1016/j.ttbdis.2021.10178210.1016/j.ttbdis.2021.101782 ↗
27. 10.1146/annurev-micro-092611-15014510.1146/annurev-micro-092611-150145 ↗
28. 10.1111/j.1462-5822.2007.00955.x10.1111/j.1462-5822.2007.00955.x ↗
29. 10.1073/pnas.91.8.343310.1073/pnas.91.8.3433 ↗
30. 10.1073/pnas.09201049910.1073/pnas.092010499 ↗
31. 10.1128/JB.00362-1110.1128/JB.00362-11 ↗
32. 10.1111/cmi.1261710.1111/cmi.12617 ↗
33. 10.1053/ejvs.2002.165410.1053/ejvs.2002.1654 ↗
34. 10.1038/s41598-019-44764-510.1038/s41598-019-44764-5 ↗
35. 10.3390/ma1414390910.3390/ma14143909 ↗
36. 10.1086/64807610.1086/648076 ↗
37. 10.1529/biophysj.104.04774610.1529/biophysj.104.047746 ↗
38. 10.1158/0008-5472.CAN-14-104210.1158/0008-5472.CAN-14-1042 ↗
39. 10.1073/pnas.121018210910.1073/pnas.1210182109 ↗
40. 10.1126/science.704373710.1126/science.7043737 ↗
41. 10.1073/pnas.111436210910.1073/pnas.1114362109 ↗
42. 10.1371/journal.ppat.100016910.1371/journal.ppat.1000169 ↗
43. 10.1093/infdis/jiz62610.1093/infdis/jiz626 ↗
44. 10.1093/infdis/jiw01310.1093/infdis/jiw013 ↗
45. 10.1128/IAI.00803-1610.1128/IAI.00803-16 ↗
46. 10.1128/IAI.01420-0810.1128/IAI.01420-08 ↗
47. 10.1046/j.1365-2958.1998.01127.x10.1046/j.1365-2958.1998.01127.x ↗
48. 10.1111/j.1365-2958.2005.05042.x10.1111/j.1365-2958.2005.05042.x ↗
49. 10.1111/mmi.1204510.1111/mmi.12045 ↗
50. 10.1038/s41598-020-70897-z10.1038/s41598-020-70897-z ↗
51. 10.1128/jb.178.22.6539-6545.199610.1128/jb.178.22.6539-6545.1996 ↗
52. 10.2165/0128071-200809060-0000210.2165/0128071-200809060-00002 ↗
53. 10.1086/52402210.1086/524022 ↗
54. 10.1158/0008-5472.CAN-19-156410.1158/0008-5472.CAN-19-1564 ↗