SNU CBE

Deciphering the anti-obesity mechanisms of pharmabiotic probiotics through advanced multiomics analysis

2025 · iScience

저자

Y. H. B. Kim, Ye-Rim Kim, Tae-Rim Choi, Sung-Hyun Jo, Won-Suk Song, TaeHyun Kim, Min-Gyu Kim, Ji-Hyun Baek, Seo-Young Kwon, Bo-Gyeong Choi, 서상우 (Sang Woo Seo), Yung‐Hun Yang, Yung‐Hun Yang, Yun‐Gon Kim, Yun‐Gon Kim

연구주제

Probiotics and Fermented Foods

NTIS 과학기술표준분류

가장 가까운 분류(보건의료 > 의생명과학)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.

AI 연구 키워드·방법

adipocyte lipid accumulation anti obesity effect gut microbiota probiotic strain

multiomics analysis

키워드 (OpenAlex)

probiotics anti-obesity mechanisms adipogenesis lipid accumulation gut microbiota Lactobacillus reuteri branched-chain amino acid catabolism KLF5

초록

Probiotics with "pharmabiotic" properties are increasingly recognized as effective tools for combating obesity by altering gut microbiota and reducing body fat. However, the molecular mechanisms underlying their anti-obesity effects remain largely unexplored due to the absence of a universal methodology. Herein, we developed a multiomics-based strategy to elucidate how probiotics reduce lipid production in adipocytes. Our initial investigation assessed the impact of probiotics at defined adipocyte differentiation stages. Leveraging these insights, we performed comprehensive multiomics analyses at key intervals to identify the suppression mechanisms of lipid formation. Lactobacillus reuteri , specifically, targets early differentiation stages, inhibits branched-chain amino acid catabolism, and reduces lipid accumulation in adipocytes by suppressing Krüppel-like factor 5. Concurrently, enh…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

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서상우

연구주제 1

Probiotics and Fermented Foods