Carmen Gonzalez-Donquiles

Dr. Carmen Gonzalez-Donquiles


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

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26 February 2019 in Nutrients
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Journal Article
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RORocío Olmedo-Requena
Rocío Olmedo-Requena
CGCarmen Gonzalez-Donquiles
Carmen Gonzalez-Donquiles
VDVeronica Davila-Batista
Veronica Davila-Batista
DRDora Romaguera
Dora Romaguera
APAdela Castelló Pastor
Adela Castelló Pastor
Vicente MartínVicente Martín
Vicente Martín
There are many different methods used to measure the degree of adherence to a Mediterranean diet (MD), limiting comparison and interpretation of their results. The concordance between different methodologies has been questioned and their evaluation recommended. The aim of this study was to evaluate the agreement among five indexes that measure adherence to a Mediterranean dietary pattern. The study population included healthy adults selected in the Multi-Case Control Spain (MCC-Spain) study recruited in 12 provinces. A total of 3640 controls were matched to cases by age and sex. To reach the aim, the following scores of adherence to a Mediterranean dietary pattern were calculated: Mediterranean diet score (MDS), alternative Mediterranean diet (aMED), relative Mediterranean diet (rMED), dietary score (DS) and literature-based adherence score (LBAS). The relative frequency of subjects with a high level of adherence to a MD varied from 22% (aMED index) to 37.2% (DS index). Similarly, a high variability was observed for the prevalence of a low level of MD: from 24% (rMED) to 38.4% (aMED). The correlation among MDS, aMED and rMED indexes was moderate, except for MDS and aMED with a high coefficient of correlation 0.75 (95% CI 0.74–0.77). The Cohen’s Kappa coefficient among indexes showed a moderate–fair concordance, except for MDS and aMED with a 0.56 (95% CI 0.55–0.59) and 0.67 (95% CI 0.66–0.68) using linear and quadratic weighting, respectively. The existing MD adherence indexes measured the same, although they were based on different constructing algorithms and varied in the food groups included, leading to a different classification of subjects. Therefore, concordance between these indexes was moderate or low.

9 November 2017 in BMC Cancer
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Journal Article
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JAJéssica Alonso-Molero
Jéssica Alonso-Molero
CGCarmen Gonzalez-Donquiles
Carmen Gonzalez-Donquiles
TFTania Fernández-Villa
Tania Fernández-Villa
FSFernanda de Souza-Teixeira
Fernanda de Souza-Teixeira
LVLaura Vilorio-Marqués
Laura Vilorio-Marqués
Vicente MartínVicente Martín
Vicente Martín
Colorectal cancer (CRC) is a major global public health problem and the second leading cause of cancer-related death. Mitochondrial dysfunction has long been suspected to be involved in this type of tumorigenesis, as supported by an accumulating body of research evidence. However, little is known about how mitochondrial alterations contribute to tumorigenesis. Mitochondrial biogenesis is a fundamental cellular process required to maintain functional mitochondria and as an adaptive mechanism in response to changing energy requirements. Mitochondrial biogenesis is regulated by peroxisome proliferator-activated receptor gamma coactivator 1-α (PPARGC1A or PGC1α). In this paper, we report a systematic review to summarize current evidence on the role of PGC1α in the initiation and progression of CRC. The aim is to provide a basis for more comprehensive research. The literature search, data extraction and quality assessment were performed according to the document Guidance on the Conduct of Narrative Synthesis in Systematic Reviews and the PRISMA declaration. The studies included in this review aimed to evaluate whether increased or decreased PGC1α expression affects the development of CRC. Each article proposes a possible molecular mechanism of action and we create two concept maps. Our systematic review indicates that altered expression of PGC1α modifies CRC risk. Most studies showed that overexpression of this gene increases CRC risk, while some studies indicated that lower than normal expression levels could increase CRC risk. Thus, various authors propose PGC1α as a good candidate molecular target for cancer therapy. Reducing expression of this gene could help to reduce risk or progression of CRC.

23 August 2017 in Advances in Intelligent Systems and Computing
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Book Chapter
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CGCarmen Gonzalez-Donquiles
Carmen Gonzalez-Donquiles
FSFernando Sanchez-Lasheras
Fernando Sanchez-Lasheras
JAJéssica Alonso-Molero
Jéssica Alonso-Molero
LVLaura Vilorio-Marqués
Laura Vilorio-Marqués
TFTania Fernandez-Villa
Tania Fernandez-Villa
Vicente MartínVicente Martín
Vicente Martín