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논문 기본 정보

자료유형
학술저널
저자정보
Lee Daniel Junpyo (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Eor Ju Young (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Kwak Min-Jin (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Lee Junbeom (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Kang An Na (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Mun Daye (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Choi Hyejin (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea) Song Minho (Department of Animal Science and Biotechnology, Chungnam National University, Daejeon 34134, Republic of Korea) Kim Jong Nam (Department of Food Science) Kim Jun-Mo (Department of Animal Science and Technology, Chung-Ang University, Anseong 17546, Republic of Korea) Yang Jungwoo (Department of Microbiology, College of Medicine, Dongguk University, Gyeongju 38066,Republic of Korea) Kim Hyung Wook (College of Life Sciences, Sejong University, Seoul 05006, Republic of Korea) Oh Sangnam (Department of Functional Food and Biotechnology, Jeonju University, Jeonju 55069, Republic of Korea) Kim Younghoon (Department of Agricultural Biotechnology and Research Institute of Agriculture and Life Science, Seoul National University, Seoul 08826, Rrepublic of Korea)
저널정보
한국미생물생명공학회 Journal of Microbiology and Biotechnology Journal of Microbiology and Biotechnology Vol.34 No.5
발행연도
2024.5
수록면
1,109 - 1,118 (10page)
DOI
10.4014/jmb.2402.02025

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초록· 키워드

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Probiotics, specifically Lacticaseibacillus rhamnosus, have garnered attention for their potential health benefits. This study focuses on evaluating the probiotic properties of candidate probiotics L. rhamnosus IDCC 3201 (3201) using the Caenorhabditis elegans surrogate animal model, a wellestablished in vivo system for studying host–bacteria interactions. The adhesive ability to the host’s gastrointestinal tract is a crucial criterion for selecting potential probiotic bacteria. Our findings demonstrated that 3201 exhibits significantly higher adhesive capabilities compared with Escherichia coli OP50 (OP50), a standard laboratory food source for C. elegans and is comparable with the widely recognized probiotic L. rhamnosus GG (LGG). In lifespan assay, 3201 significantly increased the longevity of C. elegans compared with OP50. In addition, preconditioning with 3201 enhanced C. elegans immune response against four different foodborne pathogenic bacteria. To uncover the molecular basis of these effects, transcriptome analysis elucidated that 3201 modulates specific gene expression related to the innate immune response in C. elegans. C-type lectin-related genes and lysozyme-related genes, crucial components of the immune system, showed significant upregulation after feeding 3201 compared with OP50. These results suggested that preconditioning with 3201 may enhance the immune response against pathogens. Metabolome analysis revealed increased levels of fumaric acid and succinic acid, metabolites of the citric acid cycle, in C. elegans fed with 3201 compared with OP50. Furthermore, there was an increase in the levels of lactic acid, a wellknown antimicrobial compound. This rise in lactic acid levels may have contributed to the robust defense mechanisms against pathogens. In conclusion, this study demonstrated the probiotic properties of the candidate probiotic L. rhamnosus IDCC 3201 by using multi-omics analysis.

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