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The Spread of Antibiotic Resistance Genes In Vivo Model

Tao, Shuan, Chen, Huimin, Li, Na, Wang, Tong, Liang, Wei·2022·Canadian Journal of Infectious Diseases and Medical Microbiology

Abstract

Infections caused by antibiotic-resistant bacteria are a major public health threat. The emergence and spread of antibiotic resistance genes (ARGs) in the environment or clinical setting pose a serious threat to human and animal health worldwide. Horizontal gene transfer (HGT) of ARGs is one of the main reasons for the dissemination of antibiotic resistance in vitro and in vivo environments. There is a consensus on the role of mobile genetic elements (MGEs) in the spread of bacterial resistance. Most drug resistance genes are located on plasmids, and the spread of drug resistance genes among microorganisms through plasmid-mediated conjugation transfer is the most common and effective way for the spread of multidrug resistance. Experimental studies of the processes driving the spread of antibiotic resistance have focused on simple in vitro model systems, but the current in vitro protocols might not correctly reflect the HGT of antibiotic resistance genes in realistic conditions. This calls for better models of how resistance genes transfer and disseminate in vivo. The in vivo model can better mimic the situation that occurs in patients, helping study the situation in more detail. This is crucial to develop innovative strategies to curtail the spread of antibiotic resistance genes in the future. This review aims to give an overview of the mechanisms of the spread of antibiotic resistance genes and then demonstrate the spread of antibiotic resistance genes in the in vivo model. Finally, we discuss the challenges in controlling the spread of antibiotic resistance genes and their potential solutions.

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  • These bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria resistant to the most widely used antibiotics.

    “These bacteria may transfer their resistance genes through horizontal transmission and allow the development of superbugs and pathogenic bacteria that are resistant to the most widely used antibiotics63,64.”

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Research works printed but not linked: 135

  1. 10.4103/2045-080x.186181 · DOI
  2. 10.1093/femsre/fux053 · DOI · Paper page
  3. 10.3389/fmicb.2016.00173 · DOI · Paper page
  4. 10.1016/j.tim.2020.05.011 · DOI
  5. 10.1038/s41467-020-17278-2 · DOI
  6. 10.1038/s41396-018-0275-x · DOI
  7. 10.1016/j.tim.2017.09.005 · DOI
  8. 10.1186/s40168-019-0663-0 · DOI
  9. 10.1042/ebc20160053 · DOI
  10. 10.1038/s41598-017-04662-0 · DOI
  11. 10.1128/aac.00014-16 · DOI
  12. 10.1038/ismej.2017.42 · DOI
  13. 10.1016/j.envint.2019.105007 · DOI
  14. 10.1007/s00239-018-9836-x · DOI
  15. 10.1139/cjm-2018-0275 · DOI
  16. 10.1016/j.scitotenv.2021.146009 · DOI
  17. 10.1093/gbe/evx192 · DOI
  18. 10.1038/s41467-021-22757-1 · DOI
  19. 10.3389/fmicb.2018.02154 · DOI
  20. 10.3389/fmicb.2020.00761 · DOI
  21. 10.3390/genes11111239 · DOI
  22. 10.1371/journal.pone.0208468 · DOI
  23. 10.1128/cmr.00088-17 · DOI · Paper page
  24. 10.3389/fcimb.2017.00126 · DOI
  25. 10.1016/j.ijantimicag.2018.01.023 · DOI
  26. 10.3390/antibiotics11010040 · DOI
  27. 10.1128/msphere.00853-20 · DOI
  28. 10.1016/j.tim.2018.06.007 · DOI
  29. 10.1038/s41396-021-01095-6 · DOI
  30. 10.1073/pnas.1315278110 · DOI
  31. 10.1038/s41598-019-47423-x · DOI
  32. 10.3389/fmicb.2018.02365 · DOI
  33. 10.1186/1471-2148-10-59 · DOI
  34. 10.1371/journal.ppat.1007878 · DOI
  35. 10.7717/peerj.12194 · DOI
  36. 10.1038/s41426-018-0169-z · DOI
  37. 10.1093/femsre/fux007 · DOI
  38. 10.1039/c9md00044e · DOI
  39. 10.1093/femsle/fnw211 · DOI
  40. 10.1038/s41579-020-00506-3 · DOI
  41. 10.1016/j.tim.2017.05.011 · DOI
  42. 10.1073/pnas.1906958116 · DOI
  43. 10.1038/nature12212 · DOI · Paper page
  44. 10.2147/idr.s48820 · DOI
  45. 10.1155/2021/1490732 · DOI
  46. 10.3389/fmicb.2020.00432 · DOI
  47. 10.1093/jac/dkx131 · DOI
  48. 10.3389/fmicb.2015.00864 · DOI
  49. 10.1186/s40168-019-0670-1 · DOI
  50. 10.4103/ijmr.ijmr_1979_17 · DOI
  51. 10.1080/19490976.2020.1799654 · DOI
  52. 10.1038/s41522-021-00260-1 · DOI
  53. 10.1186/s12864-016-3152-x · DOI
  54. 10.3109/1040841x.2013.804031 · DOI · Paper page
  55. 10.1038/s41551-019-0397-0 · DOI · Paper page
  56. 10.1186/s40168-018-0551-z · DOI
  57. 10.1038/mi.2016.75 · DOI
  58. 10.3390/ijerph17207618 · DOI
  59. 10.3390/microorganisms8101587 · DOI
  60. 10.1080/19490976.2021.2022442 · DOI
  61. 10.12688/f1000research.8468.1 · DOI
  62. 10.1371/journal.ppat.1010167 · DOI
  63. 10.1093/jac/dkr547 · DOI
  64. 10.3201/eid1606.091671 · DOI
  65. 10.1128/aac.50.2.596-599.2006 · DOI
  66. 10.1080/21505594.2015.1135289 · DOI
  67. 10.1007/s10565-018-09448-2 · DOI
  68. 10.1093/jac/dkr198 · DOI
  69. 10.1093/cid/civ191 · DOI
  70. 10.1128/msphere.00464-19 · DOI
  71. 10.4269/ajtmh.20-0258 · DOI
  72. 10.1016/j.ygeno.2021.05.003 · DOI
  73. 10.1111/j.1574-6968.2004.tb09614.x · DOI
  74. 10.1016/s1473-3099(11)70059-7 · DOI
  75. 10.1007/s11356-013-1905-5 · DOI
  76. 10.1080/03601234.2013.816611 · DOI
  77. 10.1016/j.mib.2011.04.009 · DOI · Paper page
  78. 10.1016/j.tim.2013.11.001 · DOI
  79. 10.1111/j.1574-6968.2009.01512.x · DOI
  80. 10.1007/s00248-015-0583-x · DOI
  81. 10.1111/mec.14255 · DOI
  82. 10.1016/j.envpol.2021.116760 · DOI
  83. 10.3389/fmicb.2017.02199 · DOI
  84. 10.1016/j.aninu.2018.04.006 · DOI · Paper page
  85. 10.4081/ijfs.2019.7956 · DOI
  86. 10.1016/s2542-5196(17)30182-1 · DOI
  87. 10.3168/jds.2017-12939 · DOI
  88. 10.3390/microorganisms4010012 · DOI
  89. 10.24272/j.issn.2095-8137.2020.131 · DOI
  90. 10.1089/mdr.2017.0198 · DOI
  91. 10.1128/msphere.00329-20 · DOI
  92. 10.1089/fpd.2020.2792 · DOI
  93. 10.3389/fmicb.2020.00322 · DOI
  94. 10.3390/ijms222312661 · DOI
  95. 10.1016/j.ecoenv.2020.110461 · DOI
  96. 10.1136/bmjquality.u211706.w4738 · DOI
  97. 10.1016/j.mib.2015.03.004 · DOI
  98. 10.3389/fmicb.2015.00528 · DOI
  99. 10.1128/mmbr.00044-12 · DOI
  100. 10.1021/acssynbio.7b00254 · DOI
  101. 10.1006/jmbi.1999.3493 · DOI
  102. 10.1093/nar/gkp478 · DOI
  103. 10.1093/nar/gkp1144 · DOI
  104. 10.1111/1574-6968.12005 · DOI
  105. 10.3389/fmicb.2016.00011 · DOI
  106. 10.2147/idr.s247271 · DOI
  107. 10.1128/msphere.00064-16 · DOI
  108. 10.1371/journal.pone.0225131 · DOI
  109. 10.1038/s41396-020-0623-5 · DOI
  110. 10.3389/fcimb.2020.619763 · DOI
  111. 10.1038/s41396-020-00860-3 · DOI
  112. 10.1007/s00203-021-02595-x · DOI
  113. 10.1128/mbio.00227-10 · DOI
  114. 10.2147/idr.s358248 · DOI
  115. 10.1038/s41579-019-0204-7 · DOI
  116. 10.1186/s12951-021-01132-8 · DOI
  117. 10.1016/j.cell.2017.11.032 · DOI
  118. 10.1038/s41564-020-0692-2 · DOI
  119. 10.1146/annurev-genet-120417-031321 · DOI
  120. 10.47391/JPMA.1331 · DOI
  121. 10.3390/antibiotics9020049 · DOI
  122. 10.1093/jac/dkab450 · DOI
  123. 10.1038/nature14098 · DOI
  124. 10.1016/j.msec.2016.12.125 · DOI
  125. 10.1111/pbi.13383 · DOI
  126. 10.1016/j.drup.2016.11.001 · DOI
  127. 10.1186/s12941-019-0317-x · DOI
  128. L. Tetsch, 2017, The adaptive bacterial immune system CRISPR-Cas and its therapeutic potential, Medizinische Monatsschrift fur Pharmazeuten, 40, 17
  129. 10.1016/j.ijantimicag.2018.09.017 · DOI
  130. 10.3390/antibiotics10070756 · DOI
  131. 10.1038/s41598-017-07584-z · DOI
  132. 10.1016/j.biortech.2014.08.079 · DOI
  133. 10.1038/nrg3962 · DOI
  134. 10.1038/s41579-020-00497-1 · DOI
  135. 10.1016/j.plasmid.2017.04.002 · DOI

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Metadata

Authors
Tao, S., Chen, H., Li, N., Wang, T., & Liang, W.
Venue
Canadian Journal of Infectious Diseases and Medical Microbiology
Publisher
Wiley
Published
2022-07-18
Volume
2022
Pages
1-11
ISSN
  • 1918-1493
  • 1712-9532
Cited by
189
References
6
Language
en
Funders
  • Jiangsu University (BK20191210, BRA2019248, H2018073, SF2015)
  • Department of Laboratory Medicine of the Second People’s Hospital of Lianyungang City (BK20191210, BRA2019248, H2018073, SF2015)
  • Natural Science Foundation of Jiangsu Province (BK20191210, BRA2019248, H2018073, SF2015)
  • Fifth Phase of the “333 Project” Scientific Research Project in Jiangsu Province (BK20191210, BRA2019248, H2018073, SF2015)
  • Jiangsu Commission of Health (BK20191210, BRA2019248, H2018073, SF2015)
  • Lianyungang Science and Technology Bureau (BK20191210, BRA2019248, H2018073, SF2015)

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