Evidence map›Paper›PMID 41857090›Full record

ArticleScientific reports2026

Hot melt extruded Kyungohkgo attenuates skeletal muscle atrophy by downregulating the FOXO3a/MuRF-1/atrogin-1 axis.

Young Mi Seok, Bo-Ram Jin, Tae-Young Gil, Suji Ryu, Chan-Yeong Ju, Yoonah Jeong, Jinyoung Son, Man Sop Shim, Hyo Jung Kim, Hyo-Jin An and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Young Mi SeokIndustrial Growth Support Team, Department of Industry Promotion, National Institute for Korean Medicine Development, Gyeongsan, 38540, Republic of Korea.
Bo-Ram JinCollege of Pharmacy and Institute of Integrated Pharmaceutical Sciences, Kyung Hee University, Seoul, 02447, Republic of Korea.
Tae-Young GilCollege of Pharmacy and Institute of Integrated Pharmaceutical Sciences, Kyung Hee University, Seoul, 02447, Republic of Korea.
Suji RyuDepartment of Bio-Health Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Chan-Yeong JuDepartment of Biomedical and Pharmaceutical Sciences, Graduate School, Kyung Hee University, Seoul, 02447, Republic of Korea.
Yoonah JeongIndustrial Growth Support Team, Department of Industry Promotion, National Institute for Korean Medicine Development, Gyeongsan, 38540, Republic of Korea.
Jinyoung SonIndustrial Growth Support Team, Department of Industry Promotion, National Institute for Korean Medicine Development, Gyeongsan, 38540, Republic of Korea.
Man Sop ShimBeNatureBioLab, Chuncheon, 24206, Republic of Korea.
Hyo Jung KimIndustrial Growth Support Team, Department of Industry Promotion, National Institute for Korean Medicine Development, Gyeongsan, 38540, Republic of Korea.
Hyo-Jin AnCollege of Pharmacy and Institute of Integrated Pharmaceutical Sciences, Kyung Hee University, Seoul, 02447, Republic of Korea. hjan@khu.ac.kr.
Jong-Suep BaekDepartment of Bio-Health Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea. jsbaek@kangwon.ac.kr.
Yun-Yeop ChaDepartment of Rehabilitative Medicine of Korean Medicine and Neuropsychiatry, College of Korean Medicine, Sangji University, Gangwon-do, 26339, Republic of Korea. omdcha@sangji.ac.kr.

Funding

Ministry of Health and Welfare 3234-302National Research Foundation of Korea RS-2023-00262645
6 · The paper itself

Abstract

Skeletal muscle atrophy is a common and debilitating consequence of chronic diseases and aging, yet effective treatment alternatives remain limited. Kyungohkgo (KOG), a traditional oriental medicine, has been shown to have potential therapeutic benefits for muscle health, but its therapeutic efficacy is restricted caused by poor bioavailability. This study aimed to enhance both the bioavailability and efficacy of KOG by applying hot-melt extrusion (HME) processing, creating a modified formulation to evaluate its effectiveness in treating skeletal muscle atrophy. Network pharmacology analysis was conducted to illustrate the relationships between the traditional medicine KOG and sarcopenia. Both in vivo and in vitro models of skeletal muscle atrophy were employed to compare the effects of conventional KOG and HME-processed KOG (HOG3). HME processing yielded an optimized formulation, HOG3, characterized by nanoscale particle size and a marked increase in minor ginsenoside content. In this study, HOG3 showed significantly higher ginsenoside levels than KOG, with Rg3, compound K, and Rh2 increasing approximately 19-, 78-, and 18-fold, respectively. In cellular and animal models, HOG3 outperformed KOG in preserving muscle mass, reducing muscle degradation markers, and decreasing collagen deposition. HOG3 administration was associated with decreased expression level of FOXO3a, MuRF-1, and atrogin-1. Overall, these findings show that HOG3 indicates enhanced protective effects against skeletal muscle atrophy and is associated with modulation of downstream molecular markers related to muscle degradation.

Indexed as

Drugs, Chinese HerbalForkhead Box Protein O3Muscle ProteinsMuscular AtrophySKP Cullin F-Box Protein LigasesTripartite Motif ProteinsUbiquitin-Protein LigasesAnimalsDown-RegulationHot TemperatureMaleMiceMuscle, SkeletalRatsDrugs, Chinese HerbalFbxo32 protein, mouseFbxo32 protein, ratForkhead Box Protein O3FoxO3 protein, mouseFOXO3 protein, ratMuscle ProteinsSKP Cullin F-Box Protein LigasesTrim63 protein, mouseTrim63 protein, ratTripartite Motif ProteinsUbiquitin-Protein LigasesDexamethasoneGinsenosideHot-melt extrusionKyungohkgoSkeletal muscle atrophy

Identifiers

PMID41857090
PMCPMC13139413

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LicenceCC BY-NC-ND
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Registered trials

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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.