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55. List of Contributors

Author

Acree, Terry E., primary, Aguera, Evelyne, additional, Ahola, Johanna K., additional, Almstätter, Isabella, additional, Alves, Andréa A.R., additional, Amigo, José M., additional, Amrein, Thomas M., additional, Andriot, Isabelle, additional, Antonczak, Serge, additional, Asma, Renske, additional, Athes, Violaine, additional, Aubin, Elodie, additional, Audebert, Alain, additional, Béno, Noelle, additional, Baggenstoss, Juerg, additional, Baiamonte, Irene, additional, Baines, David A., additional, Barbe, Jean-Christophe, additional, Barros, António S., additional, Barros, Elisabete B.P., additional, Batenburg, Max, additional, Beisert, Beata, additional, Benet, Lu, additional, Berdeaux, Olivier, additional, Bernhardt, Jörg, additional, Billmayer, Silvia, additional, Bin, Qing, additional, Birch, Anja N., additional, Bishara, Sandra, additional, Blanch, Consol, additional, Blanco, Domingo, additional, Blank, Imre, additional, Boerrigter-Eenling, Rita, additional, Boisard, Lauriane, additional, Bormann, Sebastian, additional, Bou-Maroun, Elias, additional, Boulanger, Renaud, additional, Brandão, Tiago, additional, Breme, Katharina, additional, Brennecke, Stefan, additional, Brockhoff, Anne, additional, Brondel, Laurent, additional, Brown, Keith, additional, Brunerie, Pascal, additional, Bucci, Remo, additional, Buchhaupt, Markus, additional, Bueno, Mónica, additional, Buettner, Andrea, additional, Cabio’ch, Geoffroy, additional, Cacho, Juan, additional, Cadwallader, Keith R., additional, Callejón, Raquel M., additional, Mar Campo, Maria, additional, Cartier, Charlotte, additional, Carvalho, Beatriz, additional, Castro Alves, Victor C., additional, Cayot, Nathalie, additional, Chabanet, Claire, additional, Chaintreau, Alain, additional, Chambault, Adeline, additional, Charlier, Landry, additional, Chassemont, Claire, additional, Chetschik, Irene, additional, Hee Cho, In, additional, Christlbauer, Monika, additional, Claeys Bouuaert, Thomas, additional, Coic, Solenn, additional, Collin, Sonia, additional, Concejero-Pardos, Belén, additional, Coureaud, Gérard, additional, Courter, Chris, additional, Culleré, Laura, additional, Curtin, Chris D., additional, Cypriani, Marie-Louise, additional, Czerny, Michael, additional, Dacremont, Catherine, additional, D’Aloise, Antonio, additional, Daltoé, Marina M., additional, Darriet, Philippe, additional, Davidek, Tomas, additional, de Jong, Catrienus, additional, De La Fuente, Arancha, additional, Degenhardt, Andreas, additional, Dekkers, Renske, additional, Déléris, Isabelle, additional, Deprêtre, Nicolas, additional, Dermiki, Maria, additional, de Revel, Gilles, additional, Desforges, Neil C., additional, Dijkstra, Annereinou, additional, Dobravalskytė, Diana, additional, Dodson, Andrew T., additional, Donadel, Jossiê Z., additional, Dosne, Thibaut, additional, Du, Xiaofen, additional, Dunemann, Frank, additional, Dussort, Pierre, additional, Stephen Elmore, J., additional, Engel, Karl-Heinz, additional, Escalona-Buendia, Hector B., additional, Escudero, Ana, additional, Espitia-Lopez, Josefa, additional, Etschmann, Maria M.W., additional, Féron, Gilles, additional, Ferreira, Vicente, additional, Festring, Daniel, additional, Fiorucci, Sébastien, additional, Fischer, Ulrich, additional, Fisk, Ian D., additional, Floquet, Pascal, additional, Franco-Luesma, Ernesto, additional, Frank, Stephanie, additional, Frapolli, Sophie, additional, Frauendorfer, Felix, additional, Frey, Peter, additional, Fritsch, Stephanie, additional, Gürbüz, Ozan, additional, Ganß, Sebastian, additional, Garruti, Deborah S., additional, Gassenmeier, Klaus, additional, Gerbaud, Vincent, additional, Giaccio, Joanne, additional, Gil, Ana M., additional, Glabasnia, A., additional, Gohr, André, additional, Golebiowski, Jérôme, additional, Gomes, Bruna L., additional, Goncalves, Liseth, additional, Gourrat-Pernin, Karine, additional, Gouttefangeas, Cécile, additional, Gracia-Moreno, Elisa, additional, Graham, Julie, additional, Gray, David A., additional, Groeneschild, Chantalle, additional, Gros, Jacques, additional, Guggenbühl, Barbara, additional, Guichard, Elisabeth, additional, Guillemin, Hervé, additional, Gunata, Ziya, additional, Hancock, Robert D., additional, Handoko, Dody D., additional, Hansen, Åse S., additional, Hartmann, Beate, additional, Haseleu, Gesa, additional, Hausch, Bethany J., additional, Hazelwood, Lucie A., additional, He, Juan, additional, Heinlein, Anja, additional, Hempfling, Katrin, additional, Hernandez-Orte, Purificación, additional, Herrero, Paula, additional, Hilmer, Jens-Michael, additional, Hixson, Josh L., additional, Hofmann, Thomas, additional, Hogekamp, Hermen, additional, Hort, Joanne, additional, Hory, Chantal, additional, Hufnagel, Jan-Carlos, additional, Ibàñez, Carlos, additional, Ibarra, Dominique, additional, Innerhofer, Georg, additional, Jacob-Lopes, Eduardo, additional, Jacquet, Nathalie, additional, Jiang, Deshou, additional, Jones, Lewis L., additional, Jung, Rainer, additional, Kähne, Fenja, additional, Kallio, Heikki P., additional, Kaloya, Sukhraj, additional, Kelderer, Markus, additional, Kennedy, Orla B., additional, Kerler, Josef, additional, Kersch-Counet, Christine, additional, Kessler, Artur, additional, Kindel, Günter, additional, Klein, Dorothee, additional, Kohlenberg, Birgit, additional, Korichi, Mourad, additional, Kort, Miriam, additional, Koschinski, Stefan, additional, Krammer, Gerhard E., additional, Kreißl, Johanna K., additional, Kurtz, Anne J., additional, Kusbiantoro, B., additional, Kwasniewski, Misha T., additional, Laaksonen, Oskar A., additional, Labouré, Hélène, additional, Lafarge, Céline, additional, Lagemann, Annika, additional, Landrieu, Eric, additional, Lardschneider, Ewald, additional, Lavin, Edward H, additional, Lawless, Harry T., additional, Le Bail, Patricia, additional, Le Fur, Yves, additional, Luc Le Quéré, Jean, additional, Leclercq, Catherine, additional, Leite, Selma G.F., additional, Leitner, Erich, additional, Ley, Jakob P., additional, Lieben, Pascale, additional, Liebig, Margit, additional, Linforth, Robert S.T., additional, Lopez, Ricardo, additional, Lorjaroenphon, Yaowapa, additional, Lubbers, Samuel, additional, Lubian, Elisabetta, additional, Lytra, Georgia, additional, Müller, Jakob, additional, Magalhães, Hilton Cesar R., additional, Magrì, Andrea D., additional, Magrì, Antonio L., additional, Mahattanatawee, Kanjana, additional, Mallia, Silvia, additional, Mantzouridou, Fani, additional, Maraval, Isabelle, additional, Marco, Pedro, additional, Marini, Federico, additional, Marshall, James W., additional, Martens, Marty, additional, Mateo-Vivaracho, Laura, additional, May, Bianca, additional, Mayr, Christine M., additional, Medina, Ana Luisa, additional, Meier, Roberto, additional, Mendez-Iturbe, Daniel, additional, Messner, Christine, additional, Methven, Lisa, additional, Meyerhof, Wolfgang, additional, Moncayo, Liliana, additional, Morakul, Sumallika, additional, Morales, Maria Lourdes, additional, Moretton, Cédric, additional, Mort, Emily S., additional, Moser, Mireille, additional, Mottram, Donald S., additional, Mouret, Jean-Roch, additional, Mueller, Stefan, additional, Murat, Chloé, additional, Nalli, Stefano M., additional, Nardo, Nicoletta, additional, Negishi, Osamu, additional, Negishi, Yukiko, additional, Nicoli, Stefano, additional, Nicolle, Pamela, additional, Nigay, Henri, additional, Nijssen, Ben, additional, Nizet, Sabrina, additional, Novotny, Ondrej, additional, Obst, Katja, additional, Olachea-Martínez, Francisco J., additional, Oliveira, Alcilucia, additional, Ontanón, Ignacio, additional, Orth, Anne-Marie, additional, Pabi, Nicole, additional, Paetz, Susanne, additional, Paoletti, Flavio, additional, Paraskevopoulou, Adamantini, additional, Paravisini, Laurianne, additional, Parker, Jane K., additional, Paterson, Alistair, additional, Paula Barros, Elisabete B., additional, Peña, Francisco, additional, Peck, Jim, additional, Peeters, Florence, additional, Peiró, Pere, additional, Penha, Maria Flávia A., additional, Pepin, Liesbeth, additional, Perez, M., additional, Pérez-Cacho, Pilar Ruiz, additional, Petersen, Mikael A., additional, Peterson, Devin G., additional, Pfaffl, Michael W., additional, Pinto, Náyra O.F., additional, Pischetsrieder, Monika, additional, Plyer, Daniel, additional, Poette, Julie, additional, Poisson, Luigi, additional, Ponne, Carina, additional, Poonlaphdecha, Janchai, additional, Poplacean, Iulia, additional, Puputti, Sari, additional, Qannari, El Mostafa, additional, Qian, Michael C., additional, Queiroz, Maria I., additional, Rabillier, Jean-Marc, additional, Raffo, Antonio, additional, Rauhut, Doris, additional, Reichelt, Katharina V., additional, Reifschneider, Francisco J.B., additional, Renault, Anne, additional, Repoux, Marie, additional, Resconi, Virginia C., additional, Rezende, Claudia M., additional, Rivera, Felipe M., additional, Rochat, Sabine, additional, Rodrigues, João A., additional, Rojas, José M., additional, Roques, S. Sandrine, additional, Rouseff, June, additional, Rouseff, Russell L., additional, Ruiz, Daniel, additional, Ruiz-Teran, Francisco, additional, Runge, Christa, additional, Rytz, Andreas, additional, Saadi, Khaled, additional, Sablayrolles, Jean-Marie, additional, Sacks, Gavin L., additional, Sahin, Hilal, additional, Saint-Eve, Anne, additional, Salles, Christian, additional, San Juan, Felipe, additional, Sandell, Mari A., additional, Sandgruber, Stefanie, additional, Santos, Andriéli B., additional, Schäfer, Uwe, additional, Schüttler, Armin, additional, Schaal, Benoist, additional, Schaller, Jean-Pierre, additional, Schieberle, Peter, additional, Schmarr, Hans-Georg, additional, Schmidt, Christina, additional, Schoen, Eric, additional, Scholtes, Caroline, additional, Schrader, Dirk, additional, Schrader, Jens, additional, Schrampf, Eva, additional, Schwab, Wilfried, additional, Schwager, Hugo, additional, Sefton, Mark A., additional, Seilwind, Stefan, additional, Sémon, Etienne, additional, Siegmund, Barbara, additional, Silamba, I., additional, Silva Ferreira, António C., additional, Sinding, Charlotte, additional, Skelton, Susan, additional, Smogrovicova, Daniela, additional, Solà, Josep, additional, Soldevilla, Hortensia Galán, additional, Soles, Rollin, additional, Söllner, Kerstin, additional, Souchon, Isabelle, additional, Stangl, Andreas, additional, Starkenmann, Christian, additional, Steinhaus, Martin, additional, Evelyn Stelzl, M., additional, Stephan, Andreas, additional, Stettner, Georg, additional, Strube, Andrea, additional, Suess, Barbara, additional, Suwankanit, Chutipapha, additional, Swanepoel, Karen M., additional, Talbot, Matthew D., additional, Talou, Thierry, additional, Tarrega, Amparo, additional, Taylor, Andrew, additional, Taylor, Dennis K., additional, Thomas, E., additional, Thomas, Karin, additional, Thomas-Danguin, Thierry, additional, Tissot, Emeline, additional, Toldam-Andersen, Torben, additional, Topin, Jérémie, additional, Torres-Moreno, Miriam, additional, Torri, Aiana F., additional, Tournier, Carole, additional, Trautzsch, Stephan, additional, Tromelin, Anne, additional, Troncoso, Ana M., additional, Úbeda, Cristina, additional, Ulrich, Detlef, additional, Varming, Camilla, additional, Venskutonis, Petras Rimantas, additional, Venturini, Maria E., additional, Verde-Calvo, Jose Ramon, additional, Villmann, Carmen, additional, van der Velden, Rob, additional, Wüst, Matthias, additional, Wagner, Roger, additional, Walsh, Stuart, additional, Wansink, Brian, additional, Wassink, Anne-Marie, additional, Wessjohann, Ludger, additional, Whitaker, Vance, additional, Hanny Wijayaa, Christofora, additional, Williams, Robert C., additional, Wittlake, Rüdiger, additional, Wollmann, Nadine, additional, Yang, Baoru, additional, Yang, Nicole, additional, Yu, Lu, additional, Yvan, Niclass, additional, Yven, Claude, additional, Zapata, Julián, additional, Zepka, Leila Q., additional, and Ziegler, Herta, additional

Published
2014
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57. Reconstructing survival data from published Kaplan-Meier curves: an algorithm validation

Author

Saraiva, Francisca Almeida, Leite-Moreira, João P., Lourenço, André P., Barros, António S., and Leite-Moreira, Adelino

Abstract

Background: The number of health-related publications has been exponential in the recent decade. Indeed, cardiovascular area includes more than 670k papers published at MEDLINE [((cardiovascular) NOT ((("Animals"[Mesh] NOT ("Animals"[Mesh] AND "Humans"[Mesh])))], of which, more than 20k are related to coronary artery bypass grafting (CABG). We are witnessing a 6% increase in publications per year. The growth in potential information content is a challenge to manage; one way to leverage the evidence level using such a vast amount of information is using systematic reviews and meta-analysis. These approaches allow health professionals to quickly synthesize and efficiently be up to date regarding their specific topics of interest and, eventually, identify major gaps in the evidence. Meta-analysis of randomized controlled trials (RCTs) is considered one of the highest levels of evidence since pooling the data of individual studies provide higher statistical power to detect differences even in low-frequency events(1, 2). Besides the common pitfalls of all systematic reviews, such as overlapping data, publication bias, the limited number of databases searched, low quality, and heterogeneity of the original studies included(2), the lack of easy access to data is a severe limitation to leverage the potential information present in many studies. Also, an overwhelming number of authors do not reply to the reviewers or community queries for delivering access to papers’ data, implying their exclusion from quantitative analysis due to the lack of information, impacting the growth of the evidence building negatively. However, the publication of figures that provide relevant information is not an uncommon practice. More specifically, Kaplan-Meier curves to estimate cumulative survival differences between studies groups are usually provided, but occasionally without the association measure, hazard ratio (HR), which is of high relevance for evidence assessment. For the cases where the HR is not provided, the incidence rate ratio (IRR) calculation could be an option since the number of deaths within each group is provided (IRR=((nr events exposed group)/(total patients in risk exposed group×follow-up time))/((nr events control group)/(total patients in risk control group ×follow-up time))). For RCTs this is not a constraining factor, but for observational studies, it is likely to be a source of bias since the results should be adjusted for potential confounding or unbalanced covariates. In these cases, the crude number of deaths within each group and IRR calculation would provide an unadjusted and inconclusive analysis of data. Adjusted HR or HR provided from previously matched (balanced) groups are the best estimations to pool within observational studies. Guyot et al(3) developed an algorithm to reconstruct and analyse Kaplan-Meier curves, providing survival statistics. It also delivers HR, but the authors pointed out that this was not the primary purpose of their algorithm. Indeed, their validation exercise resulted in excellent reproducibility and accuracy for reconstruction of survival statistics, such as median survival and probability of survival, while HR reproducibility and accuracy was less good mostly when less information about number at risk and number of events were available. The reason pointed by the authors for the lower accuracy of HR comparing with the other statistics is that the HR is a weighted average of ratios along the curve, while the other statistics are simple points estimates. Our aim was to assess and validate, with our data, Guyot et al. algorithm for HR computation, for long-term survival outcome, and to estimate the precision of this method according to different levels of provided data. Methods: Using GetData Graph Digitizer 2.26 (http://getdata-graph-digitizer.com/), we imported one survival curve from our cohort study (n=2414 patients) that compared long-term survival between a bilateral internal mammary artery (BIMA) and single internal mammary artery (SIMA) CABG surgery. A careful delineation of each curve after limiting X and Y axes was done, and two ASCII (text) files, one per group, were exported with all the supplied coordinates: time (X) and cumulative survival (Y) for each point. Three event tables were built: 1) the number of patients at risk provided for every single year (from 0 to 10 – 10 points); 2) the number at risk was provided only every two years (5 points); 3) the number at risk only at three distinct points: beginning, median and end of follow-up (3 points). Those data files were then imported by an R script that reads the number at risk at each time point, produce vectors and calculates approximations of number of censored on each interval, i; adjusts the total number at risk and number of events within each i according to Kaplan-Meier (K-M) estimates read from curves. Then it obtains the individual patient data (IPD) from the reconstructed Kaplan-Meier data including time, event and respective arm. Finally, it reads those K-M and coxph formula could be applied. Those results were compared with Cox regression data derived directly from our dataset. Results: We included 2414 patients(4), of which 1478 were subject to SIMA and 936 were subject to BIMA. During the follow-up, median of 5.5 years for a maximum of 12 years, 391 deaths were registered (20% SIMA vs. 10% BIMA). Kaplan-Meier curves marked an evident statistical difference between those groups as well as the Cox regression (HR for BIMA: 0.6046, CI 95%: 0.4771 – 0.7663). From the 3 methods we stated above we got the following HR [95% CI]: 1) 0.5994 [0.4735 – 0.7587]; 2) 0.6021 [0.4761 – 0.7614]; and 3) 0.5921 [0.4663 – 0.7518]. Conclusion: Even though the authors who provided the algorithm for reconstruction of Kaplan-Meier curves question its ability to compute HR, our own experience shows otherwise, corroborating with Saluja and colleagues who compared four methods developed to estimate HR from Kaplan-Meier curves and recommended the Guyot method(5). This algorithm has high potential and could be used to extract data from papers where quantitative data is absent. We recently used it to extract data from 9 studies avoiding to exclude them from a meta-analysis of RCTs and propensity score studies(6)., Journal of Statistics on Health Decision, vol. 2 n.º 2 (2020): Special Issue - Statistics on Health Decision Making: clinical trials

Published
2020

74. Early dual antiplatelet therapy versus aspirin monotherapy after coronary artery bypass surgery: survival and safety outcomes

Author

Rocha-Gomes, João N., primary, Saraiva, Francisca A., additional, Cerqueira, Rui J., additional, Moreira, Raquel, additional, Ferreira, Ana F., additional, Barros, António S., additional, Amorim, Mário J., additional, Pinho, Paulo, additional, Lourenço, André P., additional, and Leite-Moreira, Adelino F., additional

Published
2020
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82. Influence of the temperature and oxygen exposure in red Port wine: A kinetic approach

Author

Oliveira, Carla Maria, Barros, António S., Ferreira, António César Silva, Silva, Artur M. S., and Veritati - Repositório Institucional da Universidade Católica Portuguesa

Subjects
Hydroxybenzoic acid, business.product_category, chemistry.chemical_element, Oxygen consumption, 01 natural sciences, Oxygen, Anthocyanins, Lipid peroxidation, chemistry.chemical_compound, 0404 agricultural biotechnology, Lipid oxidation, Bottle, Red Port wine, Wine, Chromatography, Chemistry, 010401 analytical chemistry, Red port wine, Temperature, food and beverages, 04 agricultural and veterinary sciences, Wine fault, 040401 food science, 0104 chemical sciences, Kinetics, Composition (visual arts), Phenolics, business, Food Science
Abstract

Although phenolics are recognized to be related with health benefits by limiting lipid oxidation, in wine, they are the primary substrates for oxidation resulting in the quinone by-products with the participation of transition metal ions. Nevertheless, high quality Port wines require a period of aging in either bottle or barrels. During this time, a modification of sensory properties of wines such as the decrease of astringency or the stabilization of color is recognized to phenolic compounds, mainly attributed to anthocyanins and derived pigments. The present work aims to illustrate the oxidation of red Port wine based on its phenolic composition by the effect of both thermal and oxygen exposures. A kinetic approach toanthocyanins degradation was also achieved. For this purpose a forced red Port wine aging protocol was performed at four different storage temperatures, respectively, 20, 30, 35 and 40 degrees C, and two adjusted oxygen saturation levels, no oxygen addition (treatment I), and oxygen addition (treatment II). Three hydroxycinnamic esters, three hydroxycinnamic acids, three hydroxybenzoic acids, two flavan-3-ols, and six anthocyanins were quantitated weekly during 63 days, along with oxygen consumption. The most relevant phenolic oxidation markers were anthocyanins and catechin-type flavonoids, which had the highest decreases during the thermal and oxidative red Port wine process. Both temperature and oxygen treatments affected the rate of phenolic degradation. In addition, temperature seems to influence mostly the phenolics kinetic degradation.

Published
2015

83. 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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86. 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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87. 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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91. Characterization of 2,3-diarylxanthones by electrospray mass spectrometry: gas-phase chemistry versus known antioxidant activity properties

Author

Silva, Eduarda M.P., Barros, Cristina M.R.F., Santos, Clementina M.M., Barros, António S., Domingues, Maria R.M., and Silva, Artur

Abstract

Xanthones (XH) are a class of heterocyclic compounds widely distributed in nature that hold numerous noteworthy biological and antioxidant activities. Therefore, it is of utmost importance to achieve relevant detailed structural information to understand and assist prediction of their biological properties. The potential relationship between radical-mediated xanthone chemistry in the gas phase and their promising antioxidant activities has not been previously explored. Thanks are due to Fundação para a Ciência e Tecnologia (FCT, Portugal), European Union, QREN, FEDER and COMPETE, for funding the QOPNA research unit (project PEst-C/QUI/UI0062/2013; FCOMP-01-0124-FEDER-037296), and the Portuguese National Mass Spectrometry Network, RNEM (REDE/1504/REM/2005). E. M. P. Silva is also grateful to FCT (ref SFRH/BPD/66961/2009) for a Post-Doc grant. info:eu-repo/semantics/publishedVersion

Published
2016

92. Human plasma metabolomics in age-related macular degeneration (AMD) using nuclear magnetic resonance spectroscopy

Author

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

Published
2017
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97. Lifelong exercise targets mitochondria phosphoproteome to improve heart function

Author

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

Abstract

No abstract available.

Published
2013

98. Metabolism Modulation in Different Organs by Silver Nanoparticles: An NMR Metabolomics Study of a Mouse Model.

Author

Jarak, Ivana, Carrola, Joana, Barros, António S., Gil, Ana M., de Lourdes Pereira, Maria, Luisa Corvo, Maria, and Duarte, Iola F.

Subjects
SILVER nanoparticles, NUCLEAR magnetic resonance, METABOLOMICS, IMMUNOREGULATION, DETOXIFICATION (Alternative medicine), LABORATORY mice
Abstract

Although silver nanoparticles (AgNPs) are widely disseminated and show great potential in the biomedical field, there is a recognized need to better understand their action at the metabolic and functional levels. In this work, we have used NMR metabolomics, together with conventional clinical chemistry and histological examination, to characterize multi-organ and systemic metabolic responses to AgNPs intravenously administered to mice at 8mg/kg body weight (a dose not eliciting overt toxicity). Themajor target organs of AgNPs accumulation, liver and spleen, showed the greatestmetabolic changes, in a clear 2-stage response. In particular, the liver of dosed mice was found to switch fromglycogenolysis and lipid storage, at 6h postinjection, to glycogenesis and lipolysis, at subsequent times up to 48 h. Moreover, metabolites related to antioxidative defense, immunoregulation and detoxification seemed to play a crucial role in avoiding major hepatic damage. The spleen showed several early changes, including depletion of several amino acids, possibly reflecting impairment of hemoglobin recycling, while only a few differences remained at 48h postinjection. In the heart, the metabolic shift towards TCA cycle intensification and increased ATP production possibly reflected a beneficial adaptation to the presence of AgNPs. On the other hand, the TCA cycle appeared to be down regulated in the lungs of injected mice, which showed signs of inflammation. The kidneys showed the mildestmetabolic response to AgNPs. Overall, this study has shown that NMRmetabolomics is a powerful tool to monitor in vivo metabolic responses to nanoparticles, revealing unforeseen effects. [ABSTRACT FROM AUTHOR]

Published
2017
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