LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 86

Search options

  1. Article ; Online: Correction: Entamoeba lysyl-tRNA Synthetase Contains a Cytokine-Like Domain with Chemokine Activity towards Human Endothelial Cells.

    de Moura, Manuel Castro / Miro, Francesc / Han, Jung Min / Kim, Sunghoon / Celada, Antonio / de Pouplana, Lluís Ribas

    PLoS neglected tropical diseases

    2024  Volume 18, Issue 3, Page(s) e0012047

    Abstract: This corrects the article DOI: 10.1371/journal.pntd.0001398.]. ...

    Abstract [This corrects the article DOI: 10.1371/journal.pntd.0001398.].
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Published Erratum
    ZDB-ID 2429704-5
    ISSN 1935-2735 ; 1935-2735
    ISSN (online) 1935-2735
    ISSN 1935-2735
    DOI 10.1371/journal.pntd.0012047
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Book ; Online: XoveTIC 2020

    de Moura Ramos, José / Puente-Castro, Alejandro / Loureiro, Javier / Penedo, Manuel / Penedo, Manuel

    2021  

    Keywords Technology: general issues ; T1-995 ; History of engineering & technology
    Size 1 electronic resource (218 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel, Switzerland
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021291718
    ISBN 9783036508573 ; 3036508570
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

  3. Article ; Online: Cellular and clinical impact of protein phosphatase enzyme epigenetic silencing in multiple cancer tissues.

    Wiltshire, Edward / de Moura, Manuel Castro / Piñeyro, David / Joshi, Ricky S

    Human genomics

    2024  Volume 18, Issue 1, Page(s) 24

    Abstract: Background: Protein Phosphatase Enzymes (PPE) and protein kinases simultaneously control phosphorylation mechanisms that tightly regulate intracellular signalling pathways and stimulate cellular responses. In human malignancies, PPE and protein kinases ... ...

    Abstract Background: Protein Phosphatase Enzymes (PPE) and protein kinases simultaneously control phosphorylation mechanisms that tightly regulate intracellular signalling pathways and stimulate cellular responses. In human malignancies, PPE and protein kinases are frequently mutated resulting in uncontrolled kinase activity and PPE suppression, leading to cell proliferation, migration and resistance to anti-cancer therapies. Cancer associated DNA hypermethylation at PPE promoters gives rise to transcriptional silencing (epimutations) and is a hallmark of cancer. Despite recent advances in sequencing technologies, data availability and computational capabilities, only a fraction of PPE have been reported as transcriptionally inactive as a consequence of epimutations.
    Methods: In this study, we examined promoter-associated DNA methylation profiles in Protein Phosphatase Enzymes and their Interacting Proteins (PPEIP) in a cohort of 705 cancer patients in five tissues (Large intestine, Oesophagus, Lung, Pancreas and Stomach) in three cell models (primary tumours, cancer cell lines and 3D embedded cancer cell cultures). As a subset of PPEIP are known tumour suppressor genes, we analysed the impact of PPEIP promoter hypermethylation marks on gene expression, cellular networks and in a clinical setting.
    Results: Here, we report epimutations in PPEIP are a frequent occurrence in the cancer genome and manifest independent of transcriptional activity. We observed that different tumours have varying susceptibility to epimutations and identify specific cellular signalling networks that are primarily affected by epimutations. Additionally, RNA-seq analysis showed the negative impact of epimutations on most (not all) Protein Tyrosine Phosphatase transcription. Finally, we detected novel clinical biomarkers that inform on patient mortality and anti-cancer treatment sensitivity.
    Conclusions: We propose that DNA hypermethylation marks at PPEIP frequently contribute to the pathogenesis of malignancies and within the precision medicine space, hold promise as biomarkers to inform on clinical features such as patient survival and therapeutic response.
    MeSH term(s) Humans ; Epigenesis, Genetic ; DNA Methylation ; Neoplasms ; Phosphoprotein Phosphatases ; Protein Kinases ; Biomarkers ; DNA ; Gene Expression Regulation, Neoplastic
    Chemical Substances Phosphoprotein Phosphatases (EC 3.1.3.16) ; Protein Kinases (EC 2.7.-) ; Biomarkers ; DNA (9007-49-2)
    Language English
    Publishing date 2024-03-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2147618-4
    ISSN 1479-7364 ; 1479-7364
    ISSN (online) 1479-7364
    ISSN 1479-7364
    DOI 10.1186/s40246-024-00592-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: New insights into the pathogenesis and transmission of

    Vargas-Castro, Ignacio / Crespo-Picazo, José Luis / Fayos, Manena / Jiménez-Martínez, María de Los Ángeles / Torre-Fuentes, Laura / Álvarez, Julio / Moura, André E / Hernández, Marta / Buendía, Aranzazu / Barroso-Arévalo, Sandra / García-Seco, Teresa / Pérez-Sancho, Marta / De Miguel, María Jesús / Andrés-Barranco, Sara / Marco-Cabedo, Vicente / Peñin-Villahoz, Gaizka / Muñoz, Pilar María / Domínguez, Lucas / García-Párraga, Daniel /
    Sánchez-Vizcaíno, José Manuel

    Microbiology spectrum

    2023  Volume 11, Issue 6, Page(s) e0199723

    Abstract: Importance: ... ...

    Abstract Importance: Brucella
    MeSH term(s) Animals ; Humans ; Female ; Bottle-Nosed Dolphin ; Brucellosis/veterinary ; Brucella ; Sepsis
    Language English
    Publishing date 2023-10-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2807133-5
    ISSN 2165-0497 ; 2165-0497
    ISSN (online) 2165-0497
    ISSN 2165-0497
    DOI 10.1128/spectrum.01997-23
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Time series causal relationships discovery through feature importance and ensemble models.

    Castro, Manuel / Mendes Júnior, Pedro Ribeiro / Soriano-Vargas, Aurea / de Oliveira Werneck, Rafael / Moreira Gonçalves, Maiara / Lusquino Filho, Leopoldo / Moura, Renato / Zampieri, Marcelo / Linares, Oscar / Ferreira, Vitor / Ferreira, Alexandre / Davólio, Alessandra / Schiozer, Denis / Rocha, Anderson

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 11402

    Abstract: Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data available in many areas, Machine Learning algorithms used ... ...

    Abstract Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data available in many areas, Machine Learning algorithms used for forecasting have become more complex, leading to a less understandable path of how a decision is made by the model. To address this issue, we propose leveraging ensemble models, e.g., Random Forest, to assess which input features the trained model prioritizes when making a forecast and, in this way, establish causal relationships between the variables. The advantage of these algorithms lies in their ability to provide feature importance, which allows us to build the causal network. We present our methodology to estimate causality in time series from oil field production. As it is difficult to extract causal relations from a real field, we also included a synthetic oil production dataset and a weather dataset, which is also synthetic, to provide the ground truth. We aim to perform causal discovery, i.e., establish the existing connections between the variables in each dataset. Through an iterative process of improving the forecasting of a target's value, we evaluate whether the forecasting improves by adding information from a new potential driver; if so, we state that the driver causally affects the target. On the oil field-related datasets, our causal analysis results agree with the interwell connections already confirmed by tracer information; whenever the tracer data are available, we used it as our ground truth. This consistency between both estimated and confirmed connections provides us the confidence about the effectiveness of our proposed methodology. To our knowledge, this is the first time causal analysis using solely production data is employed to discover interwell connections in an oil field dataset.
    MeSH term(s) Time Factors ; Causality ; Algorithms ; Forecasting ; Random Forest
    Language English
    Publishing date 2023-07-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-37929-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: The Curcumin Supplementation with Piperine Can Influence the Acute Elevation of Exercise-Induced Cytokines: Double-Blind Crossover Study.

    Miranda-Castro, Stéfani / Aidar, Felipe J / de Moura, Samara Silva / Marcucci-Barbosa, Lucas / Lobo, Lázaro Fernandes / de Assis Dias Martins-Júnior, Francisco / da Silva Filha, Roberta / Vaz de Castro, Pedro Alves Soares / Simões E Silva, Ana Cristina / da Glória de Souza, Danielle / da Silva, Siomara Aparecida / de Castro Pinto, Kelerson Mauro / de Paula Costa, Guilherme / Silva, Ana Filipa / Clemente, Filipe Manuel / Pereira, William Valadares Campos / Nunes-Silva, Albená

    Biology

    2022  Volume 11, Issue 4

    Abstract: Background: to evaluate the effects of one week of supplementation with curcumin combined with piperine on physical performance, immune system cell counts, muscle damage, and plasma levels of inflammatory markers after a treadmill running training ... ...

    Abstract Background: to evaluate the effects of one week of supplementation with curcumin combined with piperine on physical performance, immune system cell counts, muscle damage, and plasma levels of inflammatory markers after a treadmill running training session.
    Methods: This study is a double-blind, crossover-balanced clinical trial with a three-week intervention. Sixteen male runners with a mean age of 36 ± 9 years and VO2 max of 60.6 ± 9.03 mL.kg
    Results: curcumin and piperine supplementation could not change the physical performance, immune cell counts, and muscle damage; however, the aerobic fatiguing exercise protocol inhibited the elevation of the plasmatic levels of some cytokines. The running exercise protocol could elevate the circulating levels of IL-2 (from 49.7 to 59.3 pg/mL), TNF-α (from 48.5 to 51.5 pg/mL), INF (from 128.8 to 165.0 pg/mL), IL-6 (from 63.1 to 77.3 pg/mL), and IL-10 (from 48.9 to 59.6 pg/mL) 1 h after the end of the running protocol. However, the curcumin and piperine supplementation could inhibit this elevation.
    Conclusions: curcumin and piperine supplementation had no effect on physical performance, immune cell counts, or muscle damage; however, the supplementation could modulate the kinetics of IL-2, TNF-α, INF, IL-6, and IL-10 1 h after the end of exercise.
    Language English
    Publishing date 2022-04-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2661517-4
    ISSN 2079-7737
    ISSN 2079-7737
    DOI 10.3390/biology11040573
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Time series causal relationships discovery through feature importance and ensemble models

    Manuel Castro / Pedro Ribeiro Mendes Júnior / Aurea Soriano-Vargas / Rafael de Oliveira Werneck / Maiara Moreira Gonçalves / Leopoldo Lusquino Filho / Renato Moura / Marcelo Zampieri / Oscar Linares / Vitor Ferreira / Alexandre Ferreira / Alessandra Davólio / Denis Schiozer / Anderson Rocha

    Scientific Reports, Vol 13, Iss 1, Pp 1-

    2023  Volume 18

    Abstract: Abstract Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data available in many areas, Machine Learning ... ...

    Abstract Abstract Inferring causal relationships from observational data is a key challenge in understanding the interpretability of Machine Learning models. Given the ever-increasing amount of observational data available in many areas, Machine Learning algorithms used for forecasting have become more complex, leading to a less understandable path of how a decision is made by the model. To address this issue, we propose leveraging ensemble models, e.g., Random Forest, to assess which input features the trained model prioritizes when making a forecast and, in this way, establish causal relationships between the variables. The advantage of these algorithms lies in their ability to provide feature importance, which allows us to build the causal network. We present our methodology to estimate causality in time series from oil field production. As it is difficult to extract causal relations from a real field, we also included a synthetic oil production dataset and a weather dataset, which is also synthetic, to provide the ground truth. We aim to perform causal discovery, i.e., establish the existing connections between the variables in each dataset. Through an iterative process of improving the forecasting of a target’s value, we evaluate whether the forecasting improves by adding information from a new potential driver; if so, we state that the driver causally affects the target. On the oil field-related datasets, our causal analysis results agree with the interwell connections already confirmed by tracer information; whenever the tracer data are available, we used it as our ground truth. This consistency between both estimated and confirmed connections provides us the confidence about the effectiveness of our proposed methodology. To our knowledge, this is the first time causal analysis using solely production data is employed to discover interwell connections in an oil field dataset.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2023-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  8. Article ; Online: Genetically predicted telomere length and Alzheimer's disease endophenotypes: a Mendelian randomization study.

    Rodríguez-Fernández, Blanca / Vilor-Tejedor, Natalia / Arenaza-Urquijo, Eider M / Sánchez-Benavides, Gonzalo / Suárez-Calvet, Marc / Operto, Grégory / Minguillón, Carolina / Fauria, Karine / Kollmorgen, Gwendlyn / Suridjan, Ivonne / de Moura, Manuel Castro / Piñeyro, David / Esteller, Manel / Blennow, Kaj / Zetterberg, Henrik / De Vivo, Immaculata / Molinuevo, José Luis / Navarro, Arcadi / Gispert, Juan Domingo /
    Sala-Vila, Aleix / Crous-Bou, Marta

    Alzheimer's research & therapy

    2022  Volume 14, Issue 1, Page(s) 167

    Abstract: Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer's disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, ... ...

    Abstract Telomere length (TL) is associated with biological aging, consequently influencing the risk of age-related diseases such as Alzheimer's disease (AD). We aimed to evaluate the potential causal role of TL in AD endophenotypes (i.e., cognitive performance, N = 2233; brain age and AD-related signatures, N = 1134; and cerebrospinal fluid biomarkers (CSF) of AD and neurodegeneration, N = 304) through a Mendelian randomization (MR) analysis. Our analysis was conducted in the context of the ALFA (ALzheimer and FAmilies) study, a population of cognitively healthy individuals at risk of AD. A total of 20 single nucleotide polymorphisms associated with TL were used to determine the effect of TL on AD endophenotypes. Analyses were adjusted by age, sex, and years of education. Stratified analyses by APOE-ɛ4 status and polygenic risk score of AD were conducted. MR analysis revealed significant associations between genetically predicted longer TL and lower levels of CSF Aβ and higher levels of CSF NfL only in APOE-ɛ4 non-carriers. Moreover, inheriting longer TL was associated with greater cortical thickness in age and AD-related brain signatures and lower levels of CSF p-tau among individuals at a high genetic predisposition to AD. Further observational analyses are warranted to better understand these associations.
    MeSH term(s) Humans ; Alzheimer Disease/cerebrospinal fluid ; Mendelian Randomization Analysis ; Endophenotypes ; Biomarkers/cerebrospinal fluid ; Apolipoproteins E/genetics ; Telomere ; tau Proteins/cerebrospinal fluid ; Amyloid beta-Peptides/cerebrospinal fluid
    Chemical Substances Biomarkers ; Apolipoproteins E ; tau Proteins ; Amyloid beta-Peptides
    Language English
    Publishing date 2022-11-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2506521-X
    ISSN 1758-9193 ; 1758-9193
    ISSN (online) 1758-9193
    ISSN 1758-9193
    DOI 10.1186/s13195-022-01101-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Crystal structures of Entamoeba histolytica lysyl-tRNA synthetase reveal conformational changes upon lysine binding and a specific helix bundle domain.

    Bonnefond, Luc / Castro de Moura, Manuel / Ribas de Pouplana, Lluis / Nureki, Osamu

    FEBS letters

    2014  Volume 588, Issue 23, Page(s) 4478–4486

    Abstract: The class II lysyl-tRNA synthetases (KRS) are conserved aminoacyl-tRNA synthetases that attach lysine to the cognate tRNA in a two-step mechanism. The enzyme from the parasitic protozoan Entamoeba histolytica was crystallized in the presence of small ... ...

    Abstract The class II lysyl-tRNA synthetases (KRS) are conserved aminoacyl-tRNA synthetases that attach lysine to the cognate tRNA in a two-step mechanism. The enzyme from the parasitic protozoan Entamoeba histolytica was crystallized in the presence of small ligands to generate snapshots of the lysine-adenylate formation. The residues involved in lysine activation are highly conserved and the active site closes around the lysyl-adenylate, as observed in bacterial KRS. The Entamoeba EMAPII-like polypeptide is not resolved in the crystals, but another Entamoeba-specific insertion could be modeled as a small helix bundle that may contribute to tRNA binding through interaction with the tRNA hinge.
    MeSH term(s) Amino Acid Sequence ; Apoenzymes/chemistry ; Apoenzymes/metabolism ; Catalytic Domain/drug effects ; Crystallography, X-Ray ; Entamoeba histolytica/enzymology ; Lysine/metabolism ; Lysine/pharmacology ; Lysine-tRNA Ligase/chemistry ; Lysine-tRNA Ligase/metabolism ; Models, Molecular ; Molecular Sequence Data ; Protein Binding ; Protein Structure, Secondary/drug effects ; RNA, Transfer/metabolism
    Chemical Substances Apoenzymes ; RNA, Transfer (9014-25-9) ; Lysine-tRNA Ligase (EC 6.1.1.6) ; Lysine (K3Z4F929H6)
    Language English
    Publishing date 2014-11-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 212746-5
    ISSN 1873-3468 ; 0014-5793
    ISSN (online) 1873-3468
    ISSN 0014-5793
    DOI 10.1016/j.febslet.2014.10.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Epigenome-wide association study of COVID-19 severity with respiratory failure.

    Castro de Moura, Manuel / Davalos, Veronica / Planas-Serra, Laura / Alvarez-Errico, Damiana / Arribas, Carles / Ruiz, Montserrat / Aguilera-Albesa, Sergio / Troya, Jesús / Valencia-Ramos, Juan / Vélez-Santamaria, Valentina / Rodríguez-Palmero, Agustí / Villar-Garcia, Judit / Horcajada, Juan P / Albu, Sergiu / Casasnovas, Carlos / Rull, Anna / Reverte, Laia / Dietl, Beatriz / Dalmau, David /
    Arranz, Maria J / Llucià-Carol, Laia / Planas, Anna M / Pérez-Tur, Jordi / Fernandez-Cadenas, Israel / Villares, Paula / Tenorio, Jair / Colobran, Roger / Martin-Nalda, Andrea / Soler-Palacin, Pere / Vidal, Francesc / Pujol, Aurora / Esteller, Manel

    EBioMedicine

    2021  Volume 66, Page(s) 103339

    Abstract: ... Foundation and the CERCA Programme/Generalitat de Catalunya. ...

    Abstract Background: Patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), responsible for the coronavirus disease 2019 (COVID-19), exhibit a wide spectrum of disease behaviour. Since DNA methylation has been implicated in the regulation of viral infections and the immune system, we performed an epigenome-wide association study (EWAS) to identify candidate loci regulated by this epigenetic mark that could be involved in the onset of COVID-19 in patients without comorbidities.
    Methods: Peripheral blood samples were obtained from 407 confirmed COVID-19 patients ≤ 61 years of age and without comorbidities, 194 (47.7%) of whom had mild symptomatology that did not involve hospitalization and 213 (52.3%) had a severe clinical course that required respiratory support. The set of cases was divided into discovery (n = 207) and validation (n = 200) cohorts, balanced for age and sex of individuals. We analysed the DNA methylation status of 850,000 CpG sites in these patients.
    Findings: The DNA methylation status of 44 CpG sites was associated with the clinical severity of COVID-19. Of these loci, 23 (52.3%) were located in 20 annotated coding genes. These genes, such as the inflammasome component Absent in Melanoma 2 (AIM2) and the Major Histocompatibility Complex, class I C (HLA-C) candidates, were mainly involved in the response of interferon to viral infection. We used the EWAS-identified sites to establish a DNA methylation signature (EPICOVID) that is associated with the severity of the disease.
    Interpretation: We identified DNA methylation sites as epigenetic susceptibility loci for respiratory failure in COVID-19 patients. These candidate biomarkers, combined with other clinical, cellular and genetic factors, could be useful in the clinical stratification and management of patients infected with the SARS-CoV-2.
    Funding: The Unstoppable campaign of the Josep Carreras Leukaemia Foundation, the Cellex Foundation and the CERCA Programme/Generalitat de Catalunya.
    MeSH term(s) Adult ; COVID-19/etiology ; COVID-19/genetics ; Cohort Studies ; CpG Islands ; DNA Methylation ; Epigenome ; Female ; Genome-Wide Association Study ; Humans ; Interferons/genetics ; Interferons/metabolism ; Male ; Middle Aged ; Reproducibility of Results ; Respiratory Insufficiency/genetics ; Respiratory Insufficiency/virology ; Severity of Illness Index ; Spain ; Young Adult
    Chemical Substances Interferons (9008-11-1)
    Language English
    Publishing date 2021-04-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2851331-9
    ISSN 2352-3964
    ISSN (online) 2352-3964
    DOI 10.1016/j.ebiom.2021.103339
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top