Evidence map›Paper›PMID 40592869›Full record

ArticleNPJ science of food2025

Dynamic shifts in metabolic demand during myogenic progression in porcine skeletal muscle stem cells.

Doo Yeon Jung, Hyun Jung Lee, Young-Seung Lee, Minsu Kim, Chang-Kyu Lee, Cheorun Jo

Abstract read
In one paragraph

Article in NPJ science of food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Doo Yeon Jung *Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea.
Hyun Jung Lee *Department of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea.
Young-Seung LeeDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea.
Minsu KimDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea.
Chang-Kyu LeeDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea.
Cheorun JoDepartment of Agricultural Biotechnology, Center for Food and Bioconvergence, and Research Institute of Agriculture and Life Science, Seoul National University, Seoul, Republic of Korea. cheorun@snu.ac.kr.

Funding

Korea Evaluation Institute of Industrial Technology 20012411National Research Foundation of Korea 2021R1C1C2003642National Research Foundation of Korea 2022R1A2C1005235
6 · The paper itself

Abstract

Optimizing the metabolic environment during porcine skeletal muscle stem cells (PSCs) proliferation and differentiation is essential for efficient muscle cell cultivation. This study investigated metabolic shifts during myogenic progression using cells at P1, P3, D1, and D2 for characterization and metabolomic analysis. Cell number increased until P3, and myotubes formed by D2 but detached by D3 in 2D culture. Gene and protein expression analyses confirmed myogenic progression, including increased MYOD and MHC expression. Metabolomic profiling identified 94 intracellular metabolites, with 24 and 17 differentially abundant metabolites (DAMs) in proliferation and differentiation, respectively. Pathway analysis showed that energy production via amino acid metabolism was key to progression. Notably, PSCs relied on glycolysis during proliferation and shifted to mitochondrial oxidative phosphorylation during differentiation. These results highlight stage-specific metabolic reprogramming and provide insights for optimizing culture conditions, offering foundational knowledge to improve the efficiency and quality of cultured meat production.

Identifiers

PMID40592869
PMCPMC12215071

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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.