Evidence map›Paper›PMID 39623488›Full record

ArticleMicrobiome2024

Host-specific effects of Eubacterium species on Rg3-mediated modulation of osteosarcopenia in a genetically diverse mouse population.

Soyeon Hong, Bao Ngoc Nguyen, Huitae Min, Hye-Young Youn, Sowoon Choi, Emmanuel Hitayezu, Kwang-Hyun Cha, Young Tae Park, Choong-Gu Lee, GyHye Yoo and 1 more

Abstract read
In one paragraph

Article in Microbiome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Frontiers in microbiology · 2025
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Soyeon Hong *Smart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, Gangneung, Gangwon-Do, 25451, Republic of Korea.
Bao Ngoc Nguyen *College of Dentistry, Gangneung Wonju National University, Gangneung, Gangwon-Do, Republic of Korea.
Huitae MinCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea.
Hye-Young YounCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea.
Sowoon ChoiCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea.
Emmanuel HitayezuCenter for Natural Product Systems Biology, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung, 25451, Republic of Korea.
Kwang-Hyun ChaCenter for Natural Product Systems Biology, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung, 25451, Republic of Korea.
Young Tae ParkCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea.
Choong-Gu LeeCenter for Natural Product Systems Biology, Korea Institute of Science and Technology (KIST) Gangneung Institute, Gangneung, 25451, Republic of Korea.
GyHye YooSmart Farm Research Center, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, Gangneung, Gangwon-Do, 25451, Republic of Korea. loshell@kist.re.kr.
Myungsuk KimCenter for Natural Product Efficacy Optimization, Korea Institute of Science and Technology (KIST), Gangneung Institute of Natural Products, 679 Saimdang-Ro, Gangneung, Gangwon-Do, 210-340, Republic of Korea. g-sstainer@kist.re.kr.

Funding

Korea Institute of Science and Technology 2E32623Korea Institute of Science and Technology 2Z07021National Research Foundation of Korea NRF-2022R1A6A3A01085975
6 · The paper itself

Abstract

backgroundOsteosarcopenia, characterized by the simultaneous loss of bone and muscle mass, is a serious health problem in the aging population. This study investigated the interplay between host genetics, gut microbiota, and musculoskeletal health in a mouse model of osteosarcopenia, exploring the therapeutic potential of gut microbiota modulation.

methodsWe examined the effects of Rg3, a phytochemical, on osteosarcopenia and its interactions with host genetics and gut microbiota in six founder strains of the Collaborative Cross (CC) population. Subsequently, we evaluated the therapeutic potential of Eubacterium nodatum (EN) and Eubacterium ventriosum (EV), two gut microbes identified as significant correlates of Rg3-mediated osteosarcopenia improvement, in selected C57BL/6 J (B6) and 129S1/SvImJ (129S1) mouse strains.

resultsRg3 treatment altered gut microbiota composition aligned with osteosarcopenia phenotypes, which response varied depending on host genetics. This finding enabled the identification of two microbes in the Eubacterium genus, potential mediator of Rg3 effect on osteosarcopenia. Oral administration of EN and EV differentially impacted bone density, muscle mass, exercise performance, and related gene expression in a mouse strain-specific manner. In 129S1 mice, EN and EV significantly improved these parameters, effectively reversing osteosarcopenic phenotypes. Mechanistic investigations revealed that these effects were mediated through the modulation of osteoblast differentiation and protein degradation pathways. In contrast, EN and EV did not significantly improve osteosarcopenic phenotypes in B6 mice, although they did modulate mitochondrial biogenesis and microbial diversity.

conclusionsOur findings underscore the complex interplay between host genetics and the gut microbiota in osteosarcopenia and emphasize the need for personalized treatment strategies. EN and EV exhibit strain-specific therapeutic effects, suggesting that tailoring microbial interventions to individual genetic backgrounds may be crucial for optimizing treatment outcomes. Video Abstract.

Indexed as

EubacteriumGastrointestinal MicrobiomeMice, Inbred C57BLSarcopeniaAnimalsBone Diseases, MetabolicDisease Models, AnimalFemaleMaleMice

Identifiers

PMID39623488
PMCPMC11613481

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.