Evidence map›Paper›PMID 40522107›Full record

ArticleCell biochemistry and function2025

Does Green Tea Ameliorate Obesity in Mice Kept at Thermoneutrality by Modulating Skeletal Muscle Metabolism?

Celso Pereira Batista Sousa-Filho, Marcus Vinicius Aquino Silva, Victória Silva, Kauan Lima, Allanis Valon, Isabela Fiorentino Souza Nascimento, Maria Angélica Spadella, Rosemari Otton

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Article in Cell biochemistry and function, 2025. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Celso Pereira Batista Sousa-FilhoInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.
Marcus Vinicius Aquino SilvaInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.
Victória SilvaInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.
Kauan LimaInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.
Allanis ValonInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.
Isabela Fiorentino Souza NascimentoHuman Embryology Laboratory, Marilia Medical School, Marilia, Sao Paulo, Brazil.
Maria Angélica SpadellaHuman Embryology Laboratory, Marilia Medical School, Marilia, Sao Paulo, Brazil.
Rosemari OttonInterdisciplinary Post-graduate Program in Health Sciences, Cruzeiro do Sul University, Sao Paulo, Sao Paulo, Brazil.ORCID https://orcid.org/0000-0001-5503-3967

Funding

This study was supported by the São Paulo Research Foundation (FAPESP, process no. 2019/10616-5, 2021/08498-4, 2023/11295-3), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) - Finance Code 001, and Cruzeiro do Sul University.
6 · The paper itself

Abstract

The effects of green tea on metabolic diseases such as obesity and diabetes have been extensively studied. Obesity often leads to insulin resistance, particularly in peripheral tissues such as skeletal muscle. Green tea has shown promise in mitigating insulin resistance in several diet-induced obesity models. However, its ability to improve insulin sensitivity by modulating skeletal muscle metabolism in the absence of metabolic stress, such as constant cold exposure, remains unclear. Therefore, the aim of this study was to evaluate the effect of green tea on skeletal muscle metabolism in high-fat diet (HFD)-induced obese mice maintained at thermoneutrality (28°C). Male C57BL/6 mice were fed a control diet or an HFD for 4 weeks. Then, the HFD group mice were treated with green tea extract (500 mg/kg of body weight) while maintained at thermoneutrality (28°C). At the end of the experimental protocol, we performed metabolic analyses. This study suggested that green tea treatment attenuates the negative effects of HFD by improving muscle fiber cross-sectional area in the gastrocnemius muscle and increasing the expression of genes involved in lipid metabolism. Although no effect was observed on fatty acid oxidation, green tea improved insulin and glucose sensitivity, as evidenced by glucose and insulin tolerance tests. It also increased the expression of genes associated with glucose uptake and lactate dehydrogenase activity in skeletal muscle. These findings suggest that green tea treatment improves insulin sensitivity by influencing skeletal muscle metabolism even in obese mice maintained at thermoneutrality.

Indexed as

Muscle, SkeletalObesityPlant ExtractsTeaAnimalsDiet, High-FatGlucoseInsulin ResistanceLipid MetabolismMaleMiceMice, Inbred C57BLGlucosePlant ExtractsTeacatechinsgreen teainsulin resistanceobesityskeletal musclethermoneutrality

Identifiers

PMID40522107
PMCPMC12169088

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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.