Analysis of changes in antibiotic resistance in the human body using an in vitro digestion model incorporating human gut microbiotaopen access
- Authors
- Lee, Seung Yun; Lee, Da Young; Kang, Hea Jin; Yun, Seung Hyeon; Mariano, Ermie Jr.; Lee, Juhyun; Kim, Jong Hyuk; Hur, Sun Jin
- Issue Date
- May-2023
- Publisher
- Elsevier Ltd
- Keywords
- Antibiotic resistance; Gut microbiota; In vitro human digestion
- Citation
- Heliyon, v.9, no.5
- Indexed
- SCIE
SCOPUS
- Journal Title
- Heliyon
- Volume
- 9
- Number
- 5
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/68737
- DOI
- 10.1016/j.heliyon.2023.e16128
- ISSN
- 2405-8440
2405-8440
- Abstract
- Residual antibiotics may affect human health by increasing challenges related to infection treatment due to antibiotic resistance development. Hence, determining whether residual antibiotics in the body can lead to antibiotic resistance is important. We developed a model to predict possible antibiotic resistance caused by residual antibiotics by simulating human digestion in vitro. Increased antibiotic resistance was found to be dependent on the digestion process. Ethical prediction of antibiotic resistance using fewer animals and no humans was possible by simulating the internal environment. Thus, preliminary studies to monitor antibiotic resistance that can affect human health may be safely conducted using this model. © 2023 The Authors
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