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Identification and validation of miRNA target genes in adipose tissue and liver of obese mice in response to treatment with green tea extract

Grant number: 13/22293-0
Support type:Regular Research Grants
Duration: September 01, 2014 - February 28, 2017
Field of knowledge:Biological Sciences - Pharmacology - Biochemical and Molecular Pharmacology
Principal Investigator:Rosemari Otton
Grantee:Rosemari Otton
Home Institution: Pró-Reitoria de Pós-Graduação e Pesquisa. Universidade Cruzeiro do Sul (UNICSUL). São Paulo , SP, Brazil
Assoc. researchers:Marcelo Alves da Silva Mori

Abstract

Obesity is a growing public health problem worldwide. Its high prevalence in the population awakens the scientific interest in the etiology and the search for therapeutic interventions that promote the loss of fat mass to preventing co-morbidities such as diabetes and cardiovascular and neurological diseases. In this regard, many researchers are trying to find bioactive compounds derived from medicinal plants capable of treating and preventing obesity. Among them, the plant Camellia sinensis, known by the common names green tea, black tea, oolong or white tea is widely consumed in different parts of the world. Catechins, the polyphenolic compounds more abundant in this plant, have many beneficial health effects including effects on the redox state, inflammation, glucose and lipid metabolism, cell proliferation and hypertension, which are associated with the pathophysiology of obesity. However, the molecular mechanisms behind the effects of green tea extract are still unknown. Thus, we intent to realize a comprehensive approach to study molecular mechanisms of gene regulation in adipose tissue and liver of obese mice undergoing treatment with green tea extract. We will focus mainly on post transcriptional control provided by small non-coding RNAs, especially microRNAs, which play an important role in the pathogenesis of obesity and its comorbidities. Thus, evaluating microRNAs modulated with chronic supplementation with green tea extract on obese animals may elucidate new molecular mechanisms of their beneficial effects, and promotes the opportunity to identify new microRNAs associated with the pathophysiology of obesity. The experimental approach is exploratory at first, where through analyses of small RNAs by microarray technology we will identify microRNAs differentially expressed among groups, especially those modulated by treatment with green tea. In the second stage of this project, we will select some microRNAs to validate the biological relevance of in vitro techniques through loss or gain of their function. This robust experimental design will be important to broaden the knowledge about the role of green tea in obesity and identify new therapeutic approaches. (AU)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BOLIN, ANAYSA PAOLA; BATISTA SOUSA-FILHO, CELSO PEREIRA; NASCIMENTO DOS SANTOS, GUSTAVO TOLENTINO; FERREIRA, LETICIA TORRES; MARTINS DE ANDRADE, PAULA BRESCIANI; MIGLIORINI FIGUEIRA, ANA CAROLINA; HELENO BATISTA, FERNANDA APARECIDA; OTTON, ROSEMARI. Adipogenic commitment induced by green tea polyphenols remodel adipocytes to a thermogenic phenotype. JOURNAL OF NUTRITIONAL BIOCHEMISTRY, v. 83, SEP 2020. Web of Science Citations: 1.
TORRES, L. F.; COGLIATI, B.; OTTON, R. Green Tea Prevents NAFLD by Modulation of miR-34a and miR-194 Expression in a High-Fat Diet Mouse Model. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, v. 2019, DEC 4 2019. Web of Science Citations: 0.
OTTON, ROSEMARI; BOLIN, ANAYSA PAOLA; FERREIRA, LETICIA TORRES; MARINOVIC, MARCELO PARADISO; SILVA ROCHA, ANDREA LIVIA; MORI, MARCELO ALVES. Polyphenol-rich green tea extract improves adipose tissue metabolism by down-regulating miR-335 expression and mitigating insulin resistance and inflammation. JOURNAL OF NUTRITIONAL BIOCHEMISTRY, v. 57, p. 170-179, JUL 2018. Web of Science Citations: 11.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.