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Your search keyword '"Barros, António S."' showing total 20 results
Start Over Author "Barros, António S." Journal journal of proteome research
20 results on '"Barros, António S."'

1. Urine Nuclear Magnetic Resonance (NMR) Metabolomics in Age-Related Macular Degeneration

Author

Laíns, Inês, primary, Duarte, Daniela, additional, Barros, António S., additional, Martins, Ana Sofia, additional, Carneiro, Tatiana J., additional, Gil, João Q., additional, Miller, John B., additional, Marques, Marco, additional, Mesquita, Tânia S., additional, Barreto, Patrícia, additional, Kim, Ivana K., additional, da Luz Cachulo, Maria, additional, Vavvas, Demetrios G., additional, Carreira, Isabel M., additional, Murta, Joaquim Neto, additional, Silva, Rufino, additional, Miller, Joan W., additional, Husain, Deeba, additional, and Gil, Ana M., additional

Published
2019
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2. Assessing Exposome Effects on Pregnancy through Urine Metabolomics of a Portuguese (Estarreja) Cohort

Author

Gil, Ana M., Duarte, Daniela, Pinto, Joana, and Barros, António S.

Abstract

This nuclear magnetic resonance metabolomics study compared the influence of two different central Portugal exposomes, one of which comprised an important source of pollutants (the Estarreja Chemical Complex, ECC), on the urinary metabolic trajectory of a cohort of healthy pregnant women (total n= 107). An exposome-independent description of pregnancy metabolism was found to comprise a set of 18 metabolites reflecting expected changes in branched-chain amino acid catabolism and hormone and lipid metabolisms. In addition, a set of small changes in some metabolites was suggested to be exposome-dependent and characteristic of pregnant subjects from the Estarreja region. These results suggested that the Estarreja exposome may impact to a very low extent pregnancy metabolism, inducing slight changes in amino acid metabolism (alanine, glycine, and 3-hydroxyisobutyrate, possibly involved in valine metabolism), tricarboxylic acid (TCA) cycle (cis-aconitate), diet, or gut microflora (furoylglycine) as well as allantoin, 2-hydroxyisobutyrate, and an unassigned resonance at δ 8.45. Furthermore, the urine of Estarreja subjects was found to generally contain higher levels of 4-hydroxyphenylacetate and lower levels of citrate. However, out of the above metabolites, only glycine and citrate seemed to correlate with the proximity to the ECC, with slightly relative higher levels of these compounds found for subjects living closer to the ECC. This suggested possible small effects of local pollutants on energy metabolism, with the remaining exposome-dependent metabolite changes most probably originating from other aspects of the local exposome such as diet and lifestyle. Despite the limitation of this study regarding the unavailability of objective environmental parameters for the period under study, our results confirm the usefulness of metabolomics of human urine to gauge exposome effects on human health and, particularly, during pregnancy.

Published
2024
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3. Impact of Prenatal Disorders on the Metabolic Profile of Second Trimester Amniotic Fluid: A Nuclear Magnetic Resonance Metabonomic Study

Author

Graça, Gonçalo, Duarte, Iola F., Barros, António S., Goodfellow, Brian J., Diaz, Sílvia O., Pinto, Joana, Carreira, Isabel M., Galhano, Eulália, Pita, Cristina, and Gil, Ana M.

Abstract

This paper describes a metabonomic study of prenatal disorders using nuclear magnetic resonance (NMR) spectroscopy of amniotic fluid (AF) collected in the second trimester of pregnancy, to search for metabolite markers of fetal malformations, prediagnostic gestational diabetes (GD), preterm delivery (PTD), early rupture of membranes (PROM), and chromossomopathies. Fetal malformations were found to have the highest impact on AF metabolite composition, enabling statistical validation to be achieved by several multivariate analytical tools. Results confirmed previous indications that malformed fetuses seem to suffer altered energy metabolism and kidney underdevelopment. Newly found changes (namely in α-oxoisovalerate, ascorbate, creatinine, isoleucine, serine, threonine) suggest possible additional effects on protein and nucleotide sugar biosynthesis. Prediagnostic GD subjects showed an average increase in glucose and small decreases in several amino acids along with acetate, formate, creatinine, and glycerophosphocholine. Small metabolite changes were also observed in the AF of subjects eventually undergoing PTD and PROM, whereas no relevant changes were found for chromossomopathies (for which a low number of samples was considered). The potential value of these results for biochemical insight and prediction of prenatal disorders is discussed, as well as their limitations regarding number of samples and overlap of different disorders.

Published
2024
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9. Lifelong Exercise Training Modulates Cardiac Mitochondrial Phosphoproteome in Rats

Author

Ferreira, Rita, primary, Vitorino, Rui, additional, Padrão, Ana Isabel, additional, Espadas, Guadalupe, additional, Mancuso, Francesco M., additional, Moreira-Gonçalves, Daniel, additional, Castro-Sousa, Gonçalo, additional, Henriques-Coelho, Tiago, additional, Oliveira, Paula A., additional, Barros, António S., additional, Duarte, José Alberto, additional, Sabidó, Eduard, additional, and Amado, Francisco, additional

Published
2014
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14. Metabolic Biomarkers of Prenatal Disorders: An Exploratory NMR Metabonomics Study of Second Trimester Maternal Urine and Blood Plasma

Author

Diaz, Sílvia O., primary, Pinto, Joana, additional, Graça, Gonçalo, additional, Duarte, Iola F., additional, Barros, António S., additional, Galhano, Eulália, additional, Pita, Cristina, additional, Almeida, Maria do Céu, additional, Goodfellow, Brian J., additional, Carreira, Isabel M., additional, and Gil, Ana M., additional

Published
2011
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17. Metabolic Profiling of Human Lung Cancer Tissue by 1H High Resolution Magic Angle Spinning (HRMAS) NMR Spectroscopy

Author

Rocha, Cláudia M., primary, Barros, António S., additional, Gil, Ana M., additional, Goodfellow, Brian J., additional, Humpfer, Eberhard, additional, Spraul, Manfred, additional, Carreira, Isabel M., additional, Melo, Joana B., additional, Bernardo, João, additional, Gomes, Ana, additional, Sousa, Vitor, additional, Carvalho, Lina, additional, and Duarte, Iola F., additional

Published
2009
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20. Metabolic profiling of human lung cancer tissue by 1H high resolution magic angle spinning (HRMAS) NMR spectroscopy.

Author

Rocha CM, Barros AS, Gil AM, Goodfellow BJ, Humpfer E, Spraul M, Carreira IM, Melo JB, Bernardo J, Gomes A, Sousa V, Carvalho L, and Duarte IF

Subjects
Adult, Aged, Aged, 80 and over, Cluster Analysis, Female, Humans, Male, Metabolome, Middle Aged, Multivariate Analysis, Principal Component Analysis, Lung Neoplasms metabolism, Nuclear Magnetic Resonance, Biomolecular methods
Abstract

This work aims at characterizing the metabolic profile of human lung cancer, to gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic value in the future. Paired samples of tumor and noninvolved adjacent tissues from 12 lung tumors have been directly analyzed by (1)H HRMAS NMR (500/600 MHz) enabling, for the first time to our knowledge, the identification of over 50 compounds. The effect of temperature on tissue stability during acquisition time has also been investigated, demonstrating that analysis should be performed within less than two hours at low temperature (277 K), to minimize glycerophosphocholine (GPC) and phosphocholine (PC) conversion to choline and reduce variations in some amino acids. The application of Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) to the standard 1D (1)H spectra resulted in good separation between tumor and control samples, showing that inherently different metabolic signatures characterize the two tissue types. On the basis of spectral integration measurements, lactate, PC, and GPC were found to be elevated in tumors, while glucose, myo-inositol, inosine/adenosine, and acetate were reduced. These results show the valuable potential of HRMAS NMR-metabonomics for investigating the metabolic phenotype of lung cancer.

Published
2010
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