Carlos Cortés-Penagos
Universidad Michoacana de San Nicolás de Hidalgo
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Publication
Featured researches published by Carlos Cortés-Penagos.
Journal of Affective Disorders | 2010
Esteve Gudayol-Ferré; Ixchel Herrera-Guzmán; Beatriz Camarena; Carlos Cortés-Penagos; Jorge E. Herrera-Abarca; Patricia Martínez-Medina; David Cruz; Sandra Hernández; Alma Genis; Mariana Y. Carrillo-Guerrero; Rubén Reyes; Joan Guàrdia-Olmos
INTRODUCTION Major depressive disorder (MDD) is treated with antidepressants, but only between 50% and 70% of the patients respond to the initial treatment. Several authors suggested different factors that could predict antidepressant response, including clinical, psychophysiological, neuropsychological, neuroimaging, and genetic variables. However, these different predictors present poor prognostic sensitivity and specificity by themselves. The aim of our work is to study the possible role of clinical variables, neuropsychological performance, and the 5HTTLPR, rs25531, and val108/58Met COMT polymorphisms in the prediction of the response to fluoxetine after 4weeks of treatment in a sample of patient with MDD. METHODS 64 patients with MDD were genotyped according to the above-mentioned polymorphisms, and were clinically and neuropsychologically assessed before a 4-week fluoxetine treatment. Fluoxetine response was assessed by using the Hamilton Depression Rating Scale. We carried out a binary logistic regression model for the potential predictive variables. RESULTS Out of the clinical variables studied, only the number of anxiety disorders comorbid with MDD have predicted a poor response to the treatment. A combination of a good performance in variables of attention and low performance in planning could predict a good response to fluoxetine in patients with MDD. None of the genetic variables studied had predictive value in our model. LIMITATIONS The possible placebo effect has not been controlled. Our study is focused on response prediction but not in remission prediction. CONCLUSIONS Our work suggests that the combination of the number of comorbid anxiety disorders, an attentional variable, and two planning variables makes it possible to correctly classify 82% of the depressed patients who responded to the treatment with fluoxetine, and 74% of the patients who did not respond to that treatment.
Journal of Affective Disorders | 2013
Esteve Gudayol-Ferré; Joan Guàrdia-Olmos; Maribel Peró-Cebollero; Ixchel Herrera-Guzmán; Beatriz Camarena; Carlos Cortés-Penagos; Jorge E. Herrera-Abarca; Patricia Martínez-Medina
BACKGROUND The prediction of remission in pharmacologically-treated MDD patients has been scarcely studied. The goal of our work is to study the possible effect of clinical variables, neuropsychological performance, and the 5HTTLPR, the rs25531 of the SLC6A4 gene, and the val108/58Met of the COMT gene polymorphisms on the prediction of the speed of remission in MDD patients. METHODS Seventy-two depressed patients were genotyped according to the aforementioned polymorphisms and were clinically and neuropsychologically assessed before a 12-week fluoxetine treatment. RESULTS From this original sample 51 patients were considered as remitters at the end of week 12. Thirteen out of those showed a rapid response pattern, 24 showed an oscillating response pattern, and 14 showed a slow response pattern. The following variable combination is capable of showing a statistically significant relationship with the pattern of remission of patients with MDD: initial Hamilton score, age at first depressive episode, AG and GG alleles of the val108/58Met COMT polymorphism, Stroop PC, and SWM Strategy. LIMITATIONS We have a slightly small sample size, which came to prominence during the data analysis since we were working with 3 subgroups. In this study, the placebo effect has not been controlled. DISCUSSION Our data suggest that the patients with MDD who remit after a 12-week treatment with fluoxetine show one of the following time-course patterns: a rapid symptomatic improvement, or a slow or oscillating pattern of remission. A combination of clinical, neuropsychological, and genetic variables allows us to predict these response patterns.
Current Genetics | 2012
Luis J. Flores-Alvarez; Alma Rosa Corrales-Escobosa; Carlos Cortés-Penagos; Mauro M. Martínez-Pacheco; Kazimierz Wróbel-Zasada; Katarzyna Wróbel-Kaczmarczyk; Carlos Cervantes; Félix Gutiérrez-Corona
The ChrA membrane protein belongs to the CHR superfamily of chromate ion transporters, which includes homologues from bacteria, archaea and eukaryotes. Bacterial ChrA homologues confer chromate resistance by exporting chromate ions from the cell’s cytoplasm. The Neurospora crassa strain 74-A chr-1 gene encodes a putative CHR-1 protein of 507 amino acid residues, which belongs to the CHR superfamily. RT-PCR assays showed that expression of the chr-1 gene was up-regulated by chromate exposure of N. crassa cultures. Introduction in N. crassa of sense and antisense fragments of the chr-1 gene, as part of a silencing module within the pSilent-1 vector, produced transformants with a phenotype of resistance to chromate and diminished accumulation of chromium, as compared with the control strain containing only the vector. A chromate-resistance phenotype was also observed in N crassa strains deleted in the genomic chr-1 gene, thus confirming that the absence of CHR-1 protein confers chromate resistance to the fungus. The cDNA from N. crassachr-1 gene (Ncchr-1) was cloned into the pYES2 vector under the control of a GAL promoter and the resulting recombinant plasmid was transferred to the yeast Saccharomyces cerevisiae. Galactose-induced S. cerevisiae transformants expressing Ncchr-1 were more sensitive to chromate and accumulated 2.5 times more chromium than the induced strain containing only the vector. Excess sulfate, a chromate analog, was unable to protect S. cerevisiae chr-1 transformants from chromate toxicity. These data indicate that the N. crassa CHR-1 protein functions as a transporter that takes up chromate; it also appears that this transport occurs in a sulfate-independent fashion. This is the first report assigning a role as a chromate transporter to a nonbacterial CHR protein.
Dna Sequence | 2006
Juan Francisco Jiménez-Bremont; Margarita Rodríguez-Kessler; Raul Rodríguez-Guerra; Carlos Cortés-Penagos; Juan Carlos Torres-Guzmán; June Simpson Williamson
Ornithine decarboxylase (ODC; EC 4.1.1.17) catalyzes the initial step in the biosynthesis of polyamines, the conversion of ornithine to putrescine. Based on the most conserved regions of fungal ODCs, we designed and synthesized oligonucleotides to amplify homologous fragments of three important plant pathogenic Pyrenomycete fungi (Ascomycota), Magnaporthe grisea, Colletotrichum lindemuthianum and Fusarium solani, and one insect pathogenic fungus Metarhizium anisopliae. Cloning and sequencing of the amplified fragments revealed homologies of between 37 to 88% with other fungal ODCs. The predicted peptide sequences were compared by Clustal analysis and conserved sequences corresponding to the substrate and cofactor binding sites were identified. Comparative analyses of the ODC fragments isolated in this study, revealed high homology between them (68.3–81.1%) and also with other Pyrenomycetes such as Neurospora crassa (order Sordariales; 68.6–72.9%) and Fusarium graminearum (order Hypocreales; 70.8–88.1%). Data obtained in this work revealed that these fungi constitute a compact group separated from other eukaryotic ODCs.
Hematological Oncology | 2016
Francisco Alejandro Lagunas-Rangel; Carlos Cortés-Penagos; Martha Eva Viveros-Sandoval
The above article, published online on 29 July 2016 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Journal Editor in Chief, Journal Production Manager, and John Wiley & Sons, Ltd. The retraction has been agreed due to 48% similar significant between this article and an article published in Nature Reviews Cancer journal.
Hematological Oncology | 2016
Francisco Alejandro Lagunas-Rangel; Carlos Cortés-Penagos; Martha Eva Viveros-Sandoval
The above article, published online on 29 July 2016 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Journal Editor in Chief, Journal Production Manager, and John Wiley & Sons, Ltd. The retraction has been agreed due to 48% similar significant between this article and an article published in Nature Reviews Cancer journal.
Hematological Oncology | 2016
Francisco Alejandro Lagunas-Rangel; Carlos Cortés-Penagos; Martha Eva Viveros-Sandoval
The above article, published online on 29 July 2016 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Journal Editor in Chief, Journal Production Manager, and John Wiley & Sons, Ltd. The retraction has been agreed due to 48% similar significant between this article and an article published in Nature Reviews Cancer journal.
Human Psychopharmacology-clinical and Experimental | 2012
Esteve Gudayol-Ferré; Ixchel Herrera-Guzmán; Beatriz Camarena; Carlos Cortés-Penagos; Jorge E. Herrera-Abarca; Patricia Martínez-Medina; Juan Asbun-Bojalil; Yuridia Lira-Islas; Celia Reyes-Ponce; Joan Guàrdia-Olmos
Revista mexicana de micología | 2013
Macario Osorio-Concepción; Sergio Casas-Flores; Carlos Cortés-Penagos
International journal of hematology-oncology and stem cell research | 2017
Francisco Alejandro Lagunas-Rangel; Venice Chávez-Valencia; Miguel Ángel Gómez-Guijosa; Carlos Cortés-Penagos
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Francisco Alejandro Lagunas-Rangel
Universidad Michoacana de San Nicolás de Hidalgo
View shared research outputsInstituto Potosino de Investigación Científica y Tecnológica
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