Evidence map›Paper›PMID 40875152›Full record

ArticleProbiotics and antimicrobial proteins2026

Lactobacillus sakei CVL-001 Inhibits Osteoclast Differentiation Through TLR2 and GPCR-Dependent Pathways and Prevents Bone Loss in Ovariectomized Mice.

Ah-Ra Jang, Dong-Yeon Kim, Tae-Sung Lee, Do-Hyeon Jung, Joo-Hee Choi, Jong-Hwan Park

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Article in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ah-Ra JangNodcure, INC, 77 Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Dong-Yeon KimLaboratory Animal Medicine, College of Veterinary Medicine and Animal Medical Institute, Chonnam National University, 77 Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Tae-Sung LeeLaboratory Animal Medicine, College of Veterinary Medicine and Animal Medical Institute, Chonnam National University, 77 Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Do-Hyeon JungLaboratory Animal Medicine, College of Veterinary Medicine and Animal Medical Institute, Chonnam National University, 77 Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Joo-Hee ChoiPreclinical Research Center, Daegu-Gyeongbuk Medical Innovation Foundation, Daegu, 41061, Republic of Korea.
Jong-Hwan ParkNodcure, INC, 77 Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea. jonpark@jnu.ac.kr.

Funding

Commercializations Promotion Agency for R and D Outcomes 2023C200National Research Foundation of Korea 2022R1A2C2012287
6 · The paper itself

Abstract

Postmenopausal osteoporosis is a common bone disease characterized by bone loss due to the disruption of bone homeostasis caused by decreased estrogen levels. It is estimated that approximately one third of women over the age of 50 will experience osteoporosis in their lifetime. Therefore, developing functional foods or treatments that can be safely consumed to prevent bone disease is essential. Recent studies have reported that gut microbiota is closely related to the development of osteoporosis. In this study, we confirmed that Lactobacillus sakei CVL-001 (CVL-001) and its metabolites (CVL-001S) alleviate OVX-induced bone loss. Furthermore, they inhibited RANKL-induced osteoclastogenesis by regulating NFATc1 expression. Imbalance in the gut microbiota also affects the release of cellular components such as lipoteichoic acid and exopolysaccharides from beneficial bacteria (e.g., lactic acid bacteria), as well as production metabolites such as short chain fatty acid. Therefore, to investigate the association between CVL-001S-mediated inhibition of osteoclast differentiation, we used osteoclast precursor cells isolated from TLR2 KO mice and the GPCR inhibitor. Although the inhibitory effect of CVL-001S on osteoclast differentiation could not be fully rescued by either the TLR2 KO cells or the GPCR inhibitor alone, pretreatment of TLR2 KO cells with the GPCR inhibitor completely abolished the inhibitory effect of CVL-001S on osteoclast differentiation. These results suggest that CVL-001S inhibits RANKL-induced osteoclast differentiation through the cooperation of TLR2 with GPCR. Our results suggest that CVL-001S and CVL-001 can be a potentially therapeutic agent for preventing or treating bone disease.

Indexed as

Latilactobacillus sakeiOsteoclastsProbioticsReceptors, G-Protein-CoupledToll-Like Receptor 2AnimalsCell DifferentiationFemaleHumansMiceMice, Inbred C57BLMice, KnockoutOsteogenesisOvariectomyRANK LigandRANK LigandReceptors, G-Protein-CoupledTlr2 protein, mouseToll-Like Receptor 2Bone lossG protein-coupled receptorsLactobacillus sakei CVL-001OsteoclastsToll-like receptor 2

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.