Implications of the Human Gut–Brain and Gut–Cancer Axes for Future Nanomedicine
Source abstract
Abstract
Recent clinical and pathological evidence have implicated the gut microbiota as a nexus for modulating the homeostasis of the human body, impacting conditions from cancer and dementia to obesity and social behavior. The connections between microbiota and human diseases offer numerous opportunities in medicine, most of which have limited or no therapeutic solutions available. In light of this paradigm-setting trend in science, this review aims to provide a comprehensive and timely summary of the mechanistic pathways governing the gut microbiota and their implications for nanomedicines targeting cancer and neurodegenerative diseases. Specifically, we discuss in parallel the beneficial and pathogenic relationship of the gut microbiota along the gut-brain and gut-cancer axes, elaborate on the impact of dysbiosis and the gastrointestinal corona on the efficacy of nanomedicines, and highlight a molecular mimicry that manipulates the universal cross-β backbone of bacterial amyloid to accelerate neurological disorders. This review further offers a forward-looking section on the rational design of cancer and dementia nanomedicines exploiting the gut-brain and gut-cancer axes.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Gut microbiota and health · Clostridium difficile and Clostridium perfringens research · Cannabis and Cannabinoid Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Australian Institute for Bioengineering and Nanotechnology, University of Queensland, Brisbane, Queensland 4072, Australia
CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety and CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China
Institute of Environmental and Health Sciences, College of Quality and Safety Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
ARC Centre of Excellence in Convergent Bio-Nano Science and Technology, Monash Institute of Pharmaceutical Sciences, Monash University, Melbourne, Victoria 3052, Australia
Zhongshan Hospital, Fudan University, 111 Yixueyuan Rd, Xuhui District, Shanghai 200032, China
GBA Research Innovation Institute for Nanotechnology, Guangdong 510700, China
Funding
Ministry of Science and Technology of the People's Republic of China · ?sterreichische Forschungsf?rderungsgesellschaft · Australian Research Council · National Natural Science Foundation of China · Chinese Academy of Sciences · Guangdong Province
References (100+)
Show source-provided references
1. 10.1523/JNEUROSCI.3299-14.201410.1523/JNEUROSCI.3299-14.2014 ↗
2. 10.1038/s41591-019-0377-710.1038/s41591-019-0377-7 ↗
3. 10.1038/nature1123410.1038/nature11234 ↗
4. 10.3233/JAD-16114110.3233/JAD-161141 ↗
5. 10.1126/science.aar778510.1126/science.aar7785 ↗
6. 10.4172/2161-0460.100017710.4172/2161-0460.1000177 ↗
7. 10.1016/j.cell.2018.09.05510.1016/j.cell.2018.09.055 ↗
8. 10.1038/s41564-018-0337-x10.1038/s41564-018-0337-x ↗
9. 10.1126/science.aay918910.1126/science.aay9189 ↗
10. 10.1073/pnas.060858210410.1073/pnas.0608582104 ↗
11. Matsumura Y. · Cancer Res. · 1986 · 46 · 6387
12. 10.1039/C9CS00309F10.1039/C9CS00309F ↗
13. 10.1038/s41565-018-0356-z10.1038/s41565-018-0356-z ↗
14. 10.1177/088453361560989910.1177/0884533615609899 ↗
15. 10.1038/nri265310.1038/nri2653 ↗
16. 10.1016/j.bpg.2003.10.00210.1016/j.bpg.2003.10.002 ↗
17. 10.1111/j.1600-065X.2011.01078.x10.1111/j.1600-065X.2011.01078.x ↗
18. 10.1111/j.1600-065X.2011.01078.x10.1111/j.1600-065X.2011.01078.x ↗
19. 10.1038/nrgastro.2012.25210.1038/nrgastro.2012.252 ↗
20. 10.1038/s41586-019-0965-110.1038/s41586-019-0965-1 ↗
21. 10.1016/j.bbi.2016.12.01910.1016/j.bbi.2016.12.019 ↗
22. 10.1016/j.cell.2009.09.03310.1016/j.cell.2009.09.033 ↗
23. 10.1038/nrc285710.1038/nrc2857 ↗
24. 10.1016/j.chom.2017.09.00510.1016/j.chom.2017.09.005 ↗
25. 10.1016/j.mib.2017.01.01110.1016/j.mib.2017.01.011 ↗
26. 10.1128/mBio.02569-1410.1128/mBio.02569-14 ↗
27. 10.1038/ni.260810.1038/ni.2608 ↗
28. 10.4315/0362-028X-65.9.138110.4315/0362-028X-65.9.1381 ↗
29. 10.1038/srep3817910.1038/srep38179 ↗
30. 10.1007/s00018-012-1028-z10.1007/s00018-012-1028-z ↗
31. 10.1016/j.cell.2015.03.03310.1016/j.cell.2015.03.033 ↗
32. 10.1016/j.autneu.2006.05.00310.1016/j.autneu.2006.05.003 ↗
33. 10.1111/j.1365-2982.2006.00871.x10.1111/j.1365-2982.2006.00871.x ↗
34. 10.1016/j.pnpbp.2009.07.03310.1016/j.pnpbp.2009.07.033 ↗
35. 10.1073/pnas.141517411110.1073/pnas.1415174111 ↗
36. 10.1073/pnas.081287410610.1073/pnas.0812874106 ↗
37. 10.1016/j.archoralbio.2007.04.00110.1016/j.archoralbio.2007.04.001 ↗
38. 10.1128/IAI.00299-1010.1128/IAI.00299-10 ↗
39. 10.1172/JCI11642710.1172/JCI116427 ↗
40. 10.1038/labinvest.370041310.1038/labinvest.3700413 ↗
41. 10.1002/glia.2243710.1002/glia.22437 ↗
42. 10.1038/ncomms253410.1038/ncomms2534 ↗
43. 10.1053/j.gastro.2007.02.03610.1053/j.gastro.2007.02.036 ↗
44. 10.1038/nrmicro183610.1038/nrmicro1836 ↗
45. 10.1016/j.neuron.2019.05.03510.1016/j.neuron.2019.05.035 ↗
46. 10.1016/j.tem.2019.08.00110.1016/j.tem.2019.08.001 ↗
47. 10.1073/pnas.161037111310.1073/pnas.1610371113 ↗
48. 10.1371/journal.ppat.100665410.1371/journal.ppat.1006654 ↗
49. 10.3390/ijms2105165210.3390/ijms21051652 ↗
50. Friedland R. P. · Neurology · 2017
51. 10.1038/srep3447710.1038/srep34477 ↗
52. 10.12968/jowc.2011.20.3.11410.12968/jowc.2011.20.3.114 ↗
53. 10.1016/S0168-8278(00)00013-110.1016/S0168-8278(00)00013-1 ↗
54. 10.1001/archsurg.1989.0141006006501310.1001/archsurg.1989.01410060065013 ↗
55. 10.1128/IAI.69.9.5217-5222.200110.1128/IAI.69.9.5217-5222.2001 ↗
56. 10.2119/2007-00100.Irvine10.2119/2007-00100.Irvine ↗
57. 10.1038/ncb1104-105410.1038/ncb1104-1054 ↗
58. 10.2147/DDDT.S13051410.2147/DDDT.S130514 ↗
59. 10.1007/s12035-014-8933-010.1007/s12035-014-8933-0 ↗
60. 10.1039/C7CS00372B10.1039/C7CS00372B ↗
61. 10.1007/s11062-018-9728-010.1007/s11062-018-9728-0 ↗
62. 10.1016/j.parkreldis.2017.02.00210.1016/j.parkreldis.2017.02.002 ↗
63. 10.1038/srep4180210.1038/srep41802 ↗
64. 10.1016/j.cell.2016.11.01810.1016/j.cell.2016.11.018 ↗
65. 10.3390/ijms1906168910.3390/ijms19061689 ↗
66. 10.3109/00207454.2013.83351010.3109/00207454.2013.833510 ↗
67. 10.4061/2011/32708910.4061/2011/327089 ↗
68. 10.1038/emm.2013.9710.1038/emm.2013.97 ↗
69. 10.1093/brain/awh53110.1093/brain/awh531 ↗
70. 10.1039/D0NR02710C10.1039/D0NR02710C ↗
71. 10.1371/journal.pone.017291410.1371/journal.pone.0172914 ↗
72. 10.1128/IAI.00911-1210.1128/IAI.00911-12 ↗
73. 10.7554/eLife.5311110.7554/eLife.53111 ↗
74. 10.1016/j.immuni.2015.06.00210.1016/j.immuni.2015.06.002 ↗
75. 10.1371/journal.ppat.100631510.1371/journal.ppat.1006315 ↗
76. 10.1002/advs.20200129910.1002/advs.202001299 ↗
77. 10.1038/s41598-019-51058-310.1038/s41598-019-51058-3 ↗
78. 10.1038/mi.2013.3010.1038/mi.2013.30 ↗
79. 10.1093/dnares/dsp01310.1093/dnares/dsp013 ↗
80. 10.1371/journal.ppat.100244910.1371/journal.ppat.1002449 ↗
81. 10.3233/JAD-14284110.3233/JAD-142841 ↗
82. 10.3389/fnagi.2017.0019510.3389/fnagi.2017.00195 ↗
83. 10.1038/s41598-020-59364-x10.1038/s41598-020-59364-x ↗
84. 10.1371/journal.pone.005467310.1371/journal.pone.0054673 ↗
85. 10.1126/sciadv.aax632810.1126/sciadv.aax6328 ↗
86. 10.1186/s13195-018-0451-210.1186/s13195-018-0451-2 ↗
87. 10.1136/gutjnl-2017-31420510.1136/gutjnl-2017-314205 ↗
88. Hullar M. A. · 2014 · 37710.1007/978-3-642-38007-5_22 ↗
89. 10.1093/ajcn/72.6.148810.1093/ajcn/72.6.1488 ↗
90. 10.1128/IAI.69.2.816-821.200110.1128/IAI.69.2.816-821.2001 ↗
91. 10.1160/TH03-07-049110.1160/TH03-07-0491 ↗
92. 10.1038/nrc145410.1038/nrc1454 ↗
93. 10.1126/science.122482010.1126/science.1224820 ↗
94. 10.1093/carcin/bgt27510.1093/carcin/bgt275 ↗
95. 10.1073/pnas.130624111010.1073/pnas.1306241110 ↗
96. 10.1038/nature1234710.1038/nature12347 ↗
97. 10.1038/srep0454810.1038/srep04548 ↗
98. 10.1371/journal.pone.011971210.1371/journal.pone.0119712 ↗
99. 10.1080/19490976.2015.112748310.1080/19490976.2015.1127483 ↗
100. 10.1126/science.aam930510.1126/science.aam9305 ↗