Gabrielli Carvalho

Mrs. Gabrielli Carvalho


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
20 December 2022 in Metabolites
Verified
Journal Article
Open access
PDF file
PLPaula Brandão Lima
Paula Brandão Lima
GCGabrielli Carvalho
Gabrielli Carvalho
TPTanyara Baliani Payolla
Tanyara Baliani Payolla
Flavia Mori SartiFlavia Mori Sarti
Flavia Mori Sarti
RFRegina Mara Fisberg
Regina Mara Fisberg
MRMarcelo Macedo Rogero
Marcelo Macedo Rogero
MicroRNAs (miRNAs) regulate several metabolic pathways and are potential biomarkers for early risk prediction of metabolic syndrome (MetS). Our aim was to evaluate the levels of 21 miRNAs in plasma according to MetS components and sex in adults. We employed a cross-sectional study of 192 adults aged 20 to 59 years old from the 2015 Health Survey of São Paulo with Focus in Nutrition. Data showed reduced levels of miR-16 and miR-363 in women with MetS; however, men with one or more risk factors showed higher levels of miR-let-7c and miR-30a. Individuals with raised waist circumference showed higher levels of miR-let-7c, miR-122, miR-30a, miR-146a, miR-15a, miR-30d and miR-222. Individuals with raised blood pressure had higher miR-30a, miR-122 and miR-30a levels. Plasma levels of four miRNAs (miR-16, miR-363, miR-375 and miR-486) were lower in individuals with low HDL-cholesterol concentrations. In addition, plasma levels of five miRNAs (miR-122, miR-139, miR-let-7c, miR-126 and miR-30a) were increased in individuals with high fasting plasma glucose and/or insulin resistance. Our results suggest that the pattern of miRNA levels in plasma may be a useful early biomarker of cardiometabolic components of MetS and highlight the sex differences in the plasma levels of miRNAs in individuals with MetS.

30 October 2022 in Metabolites
Verified
Journal Article
Open access
PDF file
PLPaula Brandão Lima
Paula Brandão Lima
GCGabrielli Carvalho
Gabrielli Carvalho
TPTanyara Baliani Payolla
Tanyara Baliani Payolla
Flavia Mori SartiFlavia Mori Sarti
Flavia Mori Sarti
MRMarcelo Macedo Rogero
Marcelo Macedo Rogero
MicroRNA regulates multiple pathways in inflammatory response, adipogenesis, and glucose and lipid metabolism, which are involved in metabolic syndrome (MetS). Thus, this systematic review aimed at synthesizing the evidence on the relationships between circulating microRNA and risk factors for MetS. The systematic review was registered in the PROSPERO database (CRD42020168100) and included 24 case-control studies evaluating microRNA expression in serum/plasma of individuals ≥5 years old. Most of the studies focused on 13 microRNAs with higher frequency and there were robust connections between miR-146a and miR-122 with risk factors for MetS, based on average weighted degree. In addition, there was an association of miR-222 with adiposity, lipid metabolism, glycemic metabolism, and chronic inflammation and an association of miR-126, miR-221, and miR-423 with adiposity, lipid, and glycemic metabolism. A major part of circulating microRNA was upregulated in individuals with risk factors for MetS, showing correlations with glycemic and lipid markers and body adiposity. Circulating microRNA showed distinct expression profiles according to the clinical condition of individuals, being particularly linked with increased body fat. However, the exploration of factors associated with variations in microRNA expression was limited by the variety of microRNAs investigated by risk factor in diverse studies identified in this systematic review.

10 July 2022
Verified
Conference Paper
Closed access
PLPaula Brandão Lima
Paula Brandão Lima
GCGabrielli Carvalho
Gabrielli Carvalho
TPTanyara Baliani Payolla
Tanyara Baliani Payolla
Flavia Mori SartiFlavia Mori Sarti
Flavia Mori Sarti
RFRegina Mara Fisberg
Regina Mara Fisberg
MRMarcelo Macedo Rogero
Marcelo Macedo Rogero
Circulating microRNA (miRNA) are post-transcriptional modulators of gene expression with potential use as risk prediction biomarkers for metaboli |