Isabel M. Carreira

University of Coimbra

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Co-Authors

Joana Barbosa Melo

University of Coimbra

Ilda Patrícia Ribeiro

University of Coimbra

Thomas Liehr

Friedrich Schiller University Jena

Ana M. Gil

University of Aveiro

Francisco Caramelo

University of Coimbra

António S. Barros

Universidade do Porto

Iola F. Duarte

University of Aveiro

Eunice Matoso

University of Coimbra

Brian J. Goodfellow

University of Aveiro

Moneeb A. K. Othman

Centogene (Germany)

Cooperative Institutions

University of Coimbra

273

Hospitais da Universidade de Coimbra

125

Universidade do Porto

University of Aveiro

University of Lisbon

Harvard University

Association for Innovation and Biomedical Research on Light and Image

Escola Superior de Tecnologia da Saúde de Coimbra

Universidade de São Paulo

Jena University Hospital

Author Statistics

Papers

Citation

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Research Field

Partial tetrasomy of chromosome 3q and mosaicism in a child with autism.

Journal of Autism and Developmental Disorders (2003)

Guiomar Oliveira Eunice Matoso Astrid M. Vicente Patrícia Damasceno Ribeiro Carla Marques

Tetrasomy

Subtelomere

10.1023/a:1022943627660

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Citations (12)

WT1, MSH6, GATA5 and PAX5 as epigenetic oral squamous cell carcinoma biomarkers - a short report

Cellular Oncology (2016)

Ilda Patrícia Ribeiro Francisco Caramelo Francisco Batel Marques Ana Patrícia Domingues Margarida Mesquita

MSH6

PAX5

10.1007/s13402-016-0293-5

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Citations (34)

Author response for "Cx43 can form functional channels at the nuclear envelope and modulate gene expression in cardiac cells"

Tânia Martins‐Marques Katja Witschas Ilda Patrícia Ribeiro Mónica Zuzarte Steve Catarino

Envelope (radar)

Expression (computer science)

10.1098/rsob.230258/v2/response1

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Citations (0)

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

Journal of Proteome Research (2009)

Cláudia Rocha António S. Barros Ana M. Gil Brian J. Goodfellow Eberhard Humpfer

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 1H 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 1H 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.

Phosphocholine

Magic angle spinning

Choline

10.1021/pr9006574

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Citations (143)

Development of a genomic predictive model for cholangiocarcinoma using copy number alteration data

Journal of Clinical Pathology (2021)

Inês Tavares Ricardo Martins Ilda Patrícia Ribeiro Luísa Esteves Francisco Caramelo

Cholangiocarcinoma (CC) is a rare tumour arising from the biliary tract epithelium. The aim of this study was to perform a genomic characterisation of CC tumours and to implement a model to differentiate extrahepatic (ECC) and intrahepatic (ICC) cholangiocarcinoma.DNA extracted from tumour samples of 23 patients with CC, namely 10 patients with ECC and 13 patients with ICC, was analysed by array comparative genomic hybridisation. A support vector machine algorithm for classification was applied to the genomic data to distinguish between ICC and ECC. A survival analysis comparing both groups of patients was also performed.With these whole genome results, we observed several common alterations between tumour samples of the same CC anatomical type, namely gain of Xp and loss of 3p, 11q11, 14q, 16q, Yp and Yq in ICC tumours, and gain of 16p25.3 and loss of 3q26.1, 6p25.3-22.3, 12p13.31, 17p, 18q and Yp in ECC tumours. Gain of 2q37.3 was observed in the samples of both tumour subtypes, ICC and ECC. The developed genomic model comprised four chromosomal regions that seem to enable the distinction between ICC and ECC, with an accuracy of 71.43% (95% CI 43% to 100%). Survival analysis revealed that in our cohort, patients with ECC survived on average 8 months less than patients with ICC.This genomic characterisation and the introduction of genomic models to clinical practice could be important for patient management and for the development of targeted therapies. The power of this genomic model should be evaluated in other CC populations.

Intrahepatic Cholangiocarcinoma

Comparative genomic hybridization

genomic DNA

10.1136/jclinpath-2020-207346

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Citations (2)

Drug transporters play a key role in the complex process of Imatinib resistance in vitro

Leukemia Research (2014)

Raquel Alves Ana M. Figueiredo Ana Cristina Gonçalves Margarida Ferreira-Teixeira Joana Esteves de Lima

Efflux

Abcg2

Imatinib Mesylate

P-glycoprotein

ABL

10.1016/j.leukres.2014.12.008

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Citations (23)

Maternal plasma phospholipids are altered in trisomy 21 cases and prior to preeclampsia and preterm outcomes

Rapid Communications in Mass Spectrometry (2014)

Joana Pinto Elisabete Maciel Tânia Melo M. Rosário M. Domingues Eulália Galhano

Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Trisomy

Content (measure theory)

10.1002/rcm.6941

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Citations (15)

UPLC-MS metabolic profiling of second trimester amniotic fluid and maternal urine and comparison with NMR spectral profiling for the identification of pregnancy disorder biomarkers

Molecular BioSystems (2012)

Gonçalo Graça Brian J. Goodfellow António S. Barros Sílvia O. Diaz Iola F. Duarte

We report on the first untargeted UPLC-MS study of 2nd trimester maternal urine and amniotic fluid (AF), to investigate the possible metabolic effects of fetal malformations (FM), gestational diabetes mellitus (GDM) and preterm delivery (PTD). For fetal malformations, considerable metabolite variations were identified in AF and, to a lesser extent, in urine. Using validated PLS-DA models and statistical correlations between UPLC-MS data and previously acquired NMR data, a metabolic picture of fetal hypoxia, enhanced gluconeogenesis, TCA activity and hindered kidney development affecting FM pregnancies was reinforced. Moreover, changes in carnitine, pyroglutamate and polyols were newly noted, respectively, reflecting lipid oxidation, altered placental amino acid transfer and alterations in polyol pathways. Higher excretion of conjugated products in maternal urine was seen suggesting alterations in conjugation reactions. For the pre-diagnostic GDM group, no significant changes were observed, either considering amniotic fluid or maternal urine, whereas, for the pre-PTD group, some newly observed changes were noted, namely, the decrease of particular amino acids and the increase of an hexose (possibly glucose), suggesting alteration in placental amino acid fluxes and a possible tendency for hyperglycemia. This work shows the potential of UPLC-MS for the study of fetal and maternal biofluids, particularly when used in tandem with comparable NMR data. The important roles played by sampling characteristics (e.g. group dimensions) and the specific experimental conditions chosen for MS methods are discussed.

Metabolome

10.1039/c2mb05424h

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Citations (93)

Molecular cytogenetic characterization of four new cases with a small supernumerary marker chromosome derived from chromosome 16

Medizinische Genetik (2009)

M Ziegler JB Melo Isabel M. Carreira A. Polityko Annelore Junge

Marker chromosome

Human genetics

Source

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Citations (0)

Metabolic Signatures of Lung Cancer in Biofluids: NMR-Based Metabonomics of Urine

Journal of Proteome Research (2010)

Joana Carrola Cláudia Rocha António S. Barros Ana M. Gil Brian J. Goodfellow

In this study, ¹H NMR-based metabonomics has been applied, for the first time to our knowledge, to investigate lung cancer metabolic signatures in urine, aiming at assessing the diagnostic potential of this approach and gaining novel insights into lung cancer metabolism and systemic effects. Urine samples from lung cancer patients (n = 71) and a control healthy group (n = 54) were analyzed by high resolution ¹H NMR (500 MHz), and their spectral profiles subjected to multivariate statistics, namely, Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Orthogonal Projections to Latent Structures (OPLS)-DA. Very good discrimination between cancer and control groups was achieved by multivariate modeling of urinary profiles. By Monte Carlo Cross Validation, the classification model showed 93% sensitivity, 94% specificity and an overall classification rate of 93.5%. The possible confounding influence of other factors, namely, gender and age, have also been modeled and found to have much lower predictive power than the presence of the disease. Moreover, smoking habits were found not to have a dominating influence over class discrimination. The main metabolites contributing to this discrimination, as highlighted by multivariate analysis and confirmed by spectral integration, were hippurate and trigonelline (reduced in patients), and β-hydroxyisovalerate, α-hydroxyisobutyrate, N-acetylglutamine, and creatinine (elevated in patients relatively to controls). These results show the valuable potential of NMR-based metabonomics for finding putative biomarkers of lung cancer in urine, collected in a minimally invasive way, which may have important diagnostic impact, provided that these metabolites are found to be specifically disease-related.

10.1021/pr100899x

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Citations (219)