Literature DB >> 22647265

Reduction of dietary glycaemic load modifies the expression of microRNA potentially associated with energy balance and cancer pathways in pre-menopausal women.

Susan E McCann1, Song Liu2, Dan Wang2, Jie Shen1, Qiang Hu2, Chi-Chen Hong1, Vicky A Newman3, Hua Zhao1.   

Abstract

Energy metabolism, insulin resistance and adiposity have been implicated in breast cancer, but dietary interventions to reduce breast cancer morbidity and mortality have had limited success. MicroRNA (miRNA) are short, non-coding RNA that participate in the control of metabolic processes through the post-transcriptional modification of RNA. We investigated the effect of a low-glycaemic load dietary intervention on miRNA expression, with subsequent bioinformatics pathway analyses to explore metabolic pathways potentially affected by the diet. Total RNA, including miRNA, was isolated from the serum of fourteen otherwise healthy pre-menopausal women with a high breast cancer risk participating in a 12-month dietary intervention designed to lower glycaemic load by at least 15% from baseline. Genome-wide miRNA expression was conducted using Illumina BeadChips. In the intervention subjects, three differentially expressed miRNA were validated by real-time (RT)-PCR, and in the twenty control participants, four top differentially expressed miRNA were evaluated to confirm a diet effect. In post-intervention v. baseline serum, twenty miRNA were found to be differentially expressed, with twelve up-regulated and eight down-regulated. These differentially expressed miRNA were predicted to be potentially associated with energy balance and cancer pathways based on exploratory enrichment analysis. Quantitative RT-PCR validations in the controls confirmed that the observed miRNA differential expression was dietary intervention induced. Manipulation of dietary glycaemic load has the potential to modify the expression of multiple miRNA predicted to be involved in energy balance and cancer pathways. Further research is necessary to confirm the role of these miRNA in the control of energy metabolism and relationships with cancer-related processes.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22647265      PMCID: PMC5826545          DOI: 10.1017/S0007114512001936

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  42 in total

1.  MicroRNAs: 'ribo-regulators' of glucose homeostasis.

Authors:  Benoit R Gauthier; Claes B Wollheim
Journal:  Nat Med       Date:  2006-01       Impact factor: 53.440

Review 2.  Mammographic densities and breast cancer risk.

Authors:  N F Boyd; G A Lockwood; J W Byng; D L Tritchler; M J Yaffe
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1998-12       Impact factor: 4.254

Review 3.  MicroRNAs and their target gene networks in breast cancer.

Authors:  Elizabeth O'Day; Ashish Lal
Journal:  Breast Cancer Res       Date:  2010-03-19       Impact factor: 6.466

4.  Diet, physical activity and energy balance and their impact on breast and prostate cancers.

Authors:  John M Saxton
Journal:  Nutr Res Rev       Date:  2006-12       Impact factor: 7.800

Review 5.  Targeting miR-205 in breast cancer.

Authors:  Hailong Wu; Yin-Yuan Mo
Journal:  Expert Opin Ther Targets       Date:  2009-12       Impact factor: 6.902

6.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

Review 7.  Targeting microRNAs in obesity.

Authors:  Huangming Xie; Lei Sun; Harvey F Lodish
Journal:  Expert Opin Ther Targets       Date:  2009-10       Impact factor: 6.902

8.  Epigenetic inactivation of microRNA gene hsa-mir-9-1 in human breast cancer.

Authors:  U Lehmann; B Hasemeier; M Christgen; M Müller; D Römermann; F Länger; H Kreipe
Journal:  J Pathol       Date:  2008-01       Impact factor: 7.996

9.  Energy balance, insulin resistance biomarkers, and breast cancer risk.

Authors:  Alecia Malin Fair; Qi Dai; Xiao-Ou Shu; Charles E Matthews; Herbert Yu; Fan Jin; Yu-Tang Gao; Wei Zheng
Journal:  Cancer Detect Prev       Date:  2007-07-23

10.  The microRNA.org resource: targets and expression.

Authors:  Doron Betel; Manda Wilson; Aaron Gabow; Debora S Marks; Chris Sander
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

View more
  5 in total

Review 1.  MicroRNAs as regulators of metabolic disease: pathophysiologic significance and emerging role as biomarkers and therapeutics.

Authors:  J A Deiuliis
Journal:  Int J Obes (Lond)       Date:  2015-08-27       Impact factor: 5.095

2.  Low glycemic index diet, exercise and vitamin D to reduce breast cancer recurrence (DEDiCa): design of a clinical trial.

Authors:  Livia S A Augustin; Massimo Libra; Anna Crispo; Maria Grimaldi; Michele De Laurentiis; Massimo Rinaldo; Massimiliano D'Aiuto; Francesca Catalano; Giuseppe Banna; Francesco Ferrau'; Rosalba Rossello; Diego Serraino; Ettore Bidoli; Samuele Massarut; Guglielmo Thomas; Davide Gatti; Ernesta Cavalcanti; Monica Pinto; Gabriele Riccardi; Edward Vidgen; Cyril W C Kendall; David J A Jenkins; Gennaro Ciliberto; Maurizio Montella
Journal:  BMC Cancer       Date:  2017-01-23       Impact factor: 4.430

Review 3.  Gene-Diet Interactions in Type 2 Diabetes: The Chicken and Egg Debate.

Authors:  Ángeles Ortega; Genoveva Berná; Anabel Rojas; Franz Martín; Bernat Soria
Journal:  Int J Mol Sci       Date:  2017-06-02       Impact factor: 5.923

4.  Developmental pathways to adiposity begin before birth and are influenced by genotype, prenatal environment and epigenome.

Authors:  Xinyi Lin; Ives Yubin Lim; Yonghui Wu; Ai Ling Teh; Li Chen; Izzuddin M Aris; Shu E Soh; Mya Thway Tint; Julia L MacIsaac; Alexander M Morin; Fabian Yap; Kok Hian Tan; Seang Mei Saw; Michael S Kobor; Michael J Meaney; Keith M Godfrey; Yap Seng Chong; Joanna D Holbrook; Yung Seng Lee; Peter D Gluckman; Neerja Karnani
Journal:  BMC Med       Date:  2017-03-07       Impact factor: 8.775

5.  Fructose, but not glucose, impairs insulin signaling in the three major insulin-sensitive tissues.

Authors:  Miguel Baena; Gemma Sangüesa; Alberto Dávalos; María-Jesús Latasa; Aleix Sala-Vila; Rosa María Sánchez; Núria Roglans; Juan Carlos Laguna; Marta Alegret
Journal:  Sci Rep       Date:  2016-05-19       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.