Maria João Peixoto
University of Porto
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Featured researches published by Maria João Peixoto.
Aquatic Toxicology | 2015
Ana M. Coimbra; Maria João Peixoto; Inês Coelho; Ricardo Lacerda; António Paulo Carvalho; Manuel Gesto; Angeliki Lyssimachou; Daniela Lima; Joana Soares; Ana André; Ana Capitão; Luís Filipe Costa Castro; Miguel M. Santos
Clofibric acid (CA) is an active metabolite of the blood lipid lowering agent clofibrate, a pharmaceutical designed to work as agonist of peroxisome proliferator-activated receptor alpha (PPARa). It is the most commonly reported fibrate in aquatic environments with low degradation rate and potential environmental persistence. Previous fish exposures showed that CA may impact spermatogenesis, growth and the expression of fat binding protein genes. However, there are limited data on the effects of chronic multigenerational CA exposures. Here, we assessed chronic multigenerational effects of CA exposure using zebrafish (Danio rerio) as a teleost model. Zebrafish were exposed through the diet to CA (1 and 10mg/g) during their whole lifetime. Growth, reproduction-related parameters and embryonic development were assessed in the exposed fish (F1 generation) and their offspring (F2 generation), together with muscle triglyceride content and gonad histology. In order to study the potential underlying mechanisms, the transcription levels of genes coding for enzymes involved in lipid metabolism pathways were determined. The results show that chronic life-cycle exposure to CA induced a significant reduction in growth of F1 generation and lowered triglyceride muscle content (10mg/g group). Also, an impact in male gonad development was observed together with a decrease in the fecundity (10mg/g group) and higher frequency of embryo abnormalities in the offspring of fish exposed to the lowest CA dose. The profile of the target genes was sex- and tissue-dependent. In F1 an up-regulation of male hepatic pparaa, pparb and acox transcript levels was observed, suggesting an activation of the fatty acid metabolism (provided that transcript level change indicates also a protein level change). Interestingly, the F2 generation, raised with control diet, displayed a response pattern different from that observed in F1, showing an increase in weight in the descendants of CA exposed fish, in comparison with control animals, which points to a multigenerational effect.
BMC Bioinformatics | 2008
Bruno Filipe Bettencourt; Margarida Santos; Raquel Nunes Fialho; Ana Rita Couto; Maria João Peixoto; João Paulo Pinheiro; Hélder Spínola; Marian Gantes Mora; Cristina Santos; António Brehm; Jácome Bruges-Armas
BackgroundHLA haplotype analysis has been used in population genetics and in the investigation of disease-susceptibility locus, due to its high polymorphism. Several methods for inferring haplotype genotypic data have been proposed, but it is unclear how accurate each of the methods is or which method is superior. The accuracy of two of the leading methods of computational haplotype inference – Expectation-Maximization algorithm based (implemented in Arlequin V3.0) and Bayesian algorithm based (implemented in PHASE V2.1.1) – was compared using a set of 122 HLA haplotypes (A-B-Cw-DQB1-DRB1) determined through direct counting. The accuracy was measured with the Mean Squared Error (MSE), Similarity Index (IF) and Haplotype Identification Index (IH).ResultsNone of the methods inferred all of the known haplotypes and some differences were observed in the accuracy of the two methods in terms of both haplotype determination and haplotype frequencies estimation. Working with haplotypes composed by low polymorphic sites, present in more than one individual, increased the confidence in the assignment of haplotypes and in the estimation of the haplotype frequencies generated by both programs.ConclusionThe PHASE v2.1.1 implemented method had the best overall performance both in haplotype construction and frequency calculation, although the differences between the two methods were insubstantial. To our knowledge this was the first work aiming to test statistical methods using real haplotypic data from the HLA region.
Comparative Biochemistry and Physiology B | 2017
Leonardo J. Magnoni; Emilio Salas-Leiton; Maria João Peixoto; Luis S. Pereira; Francisca Silva-Brito; Filipa Fontinha; José Gonçalves; Jonathan M. Wilson; J.W. Schrama; R.O.A. Ozório
Dietary ion content is known to alter the acid-base balance in freshwater fish. The current study investigated the metabolic impact of acid-base disturbances produced by differences in dietary electrolyte balance (DEB) in the meagre (Argyrosomus regius), an euryhaline species. Changes in fish performance, gastric chyme characteristics, pH and ion concentrations in the bloodstream, digestive enzyme activities and metabolic rates were analyzed in meagre fed ad libitum two experimental diets (DEB 200 or DEB 700mEq/kg) differing in the Na2CO3 content for 69days. Fish fed the DEB 200 diet had 60-66% better growth performance than the DEB 700 group. Meagre consuming the DEB 200 diet were 90-96% more efficient than fish fed the DEB 700 diet at allocating energy from feed into somatic growth. The pH values in blood were significantly lower in the DEB 700 group 2h after feeding when compared to DEB 200, indicating that acid-base balance in meagre was affected by electrolyte balance in diet. Osmolality, and Na+ and K+ concentrations in plasma did not vary with the dietary treatment. Gastric chyme in the DEB 700 group had higher pH values, dry matter, protein and energy contents, but lower lipid content than in the DEB 200 group. Twenty-four hours after feeding, amylase activity was higher in the gastrointestinal tract of DEB 700 group when compared to the DEB 200 group. DEB 700 group had lower routine metabolic (RMR) and standard metabolic (SMR) rates, indicating a decrease in maintenance energy expenditure 48h after feeding the alkaline diet. The current study demonstrates that feeding meagre with an alkaline diet not only causes acid-base imbalance, but also negatively affects digestion and possibly nutrient assimilation, resulting in decreased growth performance.
Journal of Applied Phycology | 2016
Mariana Araújo; Paulo Rema; Isabel Sousa-Pinto; Luís Miguel Cunha; Maria João Peixoto; M.A. Pires; F. Seixas; Vanda Brotas; Carolina Beltrán; L.M.P. Valente
Aquaculture Reports | 2016
Maria João Peixoto; Emilio Salas-Leiton; Luís Ferreira Pereira; Augusto Queiroz; Fernando Magalhães; Rui Pereira; Helena Abreu; Pedro A. Reis; José Gonçalves; R.O.A. Ozório
Journal of Applied Phycology | 2016
L.M.P. Valente; Mariana Araújo; S. Batista; Maria João Peixoto; Isabel Sousa-Pinto; Vanda Brotas; Luís Miguel Cunha; Paulo Rema
Journal of Applied Phycology | 2016
Maria João Peixoto; Jon Christian Svendsen; Hans Malte; Luís Ferreira Pereira; Pedro N. Carvalho; Rui Pereira; José Gonçalves; R.O.A. Ozório
Journal of Applied Phycology | 2017
Maria João Peixoto; Emilio Salas-Leiton; Francisca Brito; Luís Ferreira Pereira; Jon Christian Svendsen; Teresa Baptista; Rui Pereira; Helena Abreu; Pedro A. Reis; José Gonçalves; R.O.A. Ozório
Aquaculture Research | 2016
R.O.A. Ozório; Justyna Kopecka-Pilarczyk; Maria João Peixoto; Rebecca Lochmann; Ricardo J. Santos; Gonçalo Santos; Barbara Weber; Joaquim Calheiros; Lia Ferraz-Arruda; Paulo Vaz-Pires; José Gonçalves
Open Journal of Genetics | 2011
Mafalda Raposo; Paul Sousa; Stefan Németh; Ana Rita Couto; Margarida Santos; João Paulo Pinheiro; Maria João Peixoto; Christian Oberkanins; Nadiya Kazachkova; Teresa Cymbron; Manuela Lima; Jácome Bruges-Armas