Noncoding RNA Profiles in Tobacco- and Alcohol-Associated Diseases

Noncoding RNA Profiles in Tobacco- and Alcohol-Associated Diseases

Author do Amaral, Nayra Soares Google Scholar
Melo, Natalia Cruz e Autor UNIFESP Google Scholar
Maia, Beatriz de Melo Google Scholar
Rocha, Rafael Malagoli Autor UNIFESP Google Scholar
Abstract Tobacco and alcohol are the leading environmental risk factors in the development of human diseases, such as cancer, cardiovascular disease, and liver injury. Despite the copious amount of research on this topic, by 2030, 8.3 million deaths are projected to occur worldwide due to tobacco use. The expression of noncoding RNAs, primarily microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), is modulated by tobacco and alcohol consumption. Drinking alcohol and smoking cigarettes can modulate the expression of miRNAs and lncRNAs through various signaling pathways, such as apoptosis, angiogenesis, and inflammatory pathways-primarily interleukin 6 (IL-6)/signal transducer and activator of transcription 3 (STAT3), which seems to play a major role in the development of diseases associated with these risk factors. Since they may be predictive and prognostic biomarkers, they can be used both as predictors of the response to therapy and as a targeted therapy. Further, circulating miRNAs might be valuable noninvasive tools that can be used to examine diseases that are related to the use of tobacco and alcohol. This review discusses the function of noncoding RNAs in cancer and other human tobacco- and alcohol-associated diseases.
Keywords noncoding RNAs
long noncoding RNAs
chronic obstructive pulmonary disease
cardiovascular diseases
xmlui.dri2xhtml.METS-1.0.item-coverage Basel
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Grant number FAPESP: 2014/03021-1
Date 2017
Published in Genes. Basel, v. 8, n. 1, p. -, 2017.
ISSN 2073-4425 (Sherpa/Romeo, impact factor)
Publisher Mdpi Ag
Extent -
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000399057100006

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