LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 2901

Search options

  1. Article ; Online: Specific Gene Expression in

    Getino, Luis / Chamizo-Ampudia, Alejandro / Martín, José Luis / Luengo, José María / Barreiro, Carlos / Olivera, Elías R

    Genes

    2023  Volume 14, Issue 10

    Abstract: Pseudomonas ... ...

    Abstract Pseudomonas putida
    MeSH term(s) Cadaverine/metabolism ; Putrescine/metabolism ; Putrescine/pharmacology ; Pseudomonas putida/genetics ; Pseudomonas putida/metabolism ; Polyamines/metabolism ; Pseudomonas aeruginosa/genetics ; Escherichia coli/genetics ; Aminobutyrates/metabolism ; Carbon/metabolism ; Gene Expression
    Chemical Substances Cadaverine (L90BEN6OLL) ; Putrescine (V10TVZ52E4) ; Polyamines ; Aminobutyrates ; Carbon (7440-44-0)
    Language English
    Publishing date 2023-09-30
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2527218-4
    ISSN 2073-4425 ; 2073-4425
    ISSN (online) 2073-4425
    ISSN 2073-4425
    DOI 10.3390/genes14101897
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: ElectroPredictor: An Application to Predict Mayr's Electrophilicity

    Cuesta, Sebastián A / Moreno, Martín / López, Romina A / Mora, José R / Paz, José Luis / Márquez, Edgar A

    Journal of chemical information and modeling

    2023  Volume 63, Issue 2, Page(s) 507–521

    Abstract: Electrophilicity ( ...

    Abstract Electrophilicity (
    MeSH term(s) Algorithms ; Machine Learning ; Databases, Factual
    Language English
    Publishing date 2023-01-03
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 190019-5
    ISSN 1549-960X ; 0095-2338
    ISSN (online) 1549-960X
    ISSN 0095-2338
    DOI 10.1021/acs.jcim.2c01367
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Personalized Management of Fatigue in Individuals With Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Long COVID Using a Smart Digital mHealth Solution: Protocol for a Participatory Design Approach.

    Dorronzoro-Zubiete, Enrique / Castro-Marrero, Jesús / Ropero, Jorge / Sevillano-Ramos, José Luis / Dolores Hernández, María / Sanmartin Sentañes, Ramon / Alegre-Martin, Jose / Launois-Obregón, Patricia / Martin-Garrido, Isabel / Luque Budia, Asuncion / Lacalle-Remigio, Juan R / Béjar Prado, Luis / Rivera Romero, Octavio

    JMIR research protocols

    2024  Volume 13, Page(s) e50157

    Abstract: Background: Fatigue is the most common symptom in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID, impacting patients' quality of life; however, there is currently a lack of evidence-based context-aware tools for fatigue self- ... ...

    Abstract Background: Fatigue is the most common symptom in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and long COVID, impacting patients' quality of life; however, there is currently a lack of evidence-based context-aware tools for fatigue self-management in these populations.
    Objective: This study aimed to (1) address fatigue in ME/CFS and long COVID through the development of digital mobile health solutions for self-management, (2) predict perceived fatigue severity using real-time data, and (3) assess the feasibility and potential benefits of personalized digital mobile health solutions.
    Methods: The MyFatigue project adopts a patient-centered approach within the participatory health informatics domain. Patient representatives will be actively involved in decision-making processes. This study combines inductive and deductive research approaches, using qualitative studies to generate new knowledge and quantitative methods to test hypotheses regarding the relationship between factors like physical activity, sleep behaviors, and perceived fatigue in ME/CFS and long COVID. Co-design methods will be used to develop a personalized digital solution for fatigue self-management based on the generated knowledge. Finally, a pilot study will evaluate the feasibility, acceptance, and potential benefits of the digital health solution.
    Results: The MyFatigue project opened to enrollment in November 2023. Initial results are expected to be published by the end of 2024.
    Conclusions: This study protocol holds the potential to expand understanding, create personalized self-management approaches, engage stakeholders, and ultimately improve the well-being of individuals with ME/CFS and long COVID.
    International registered report identifier (irrid): PRR1-10.2196/50157.
    Language English
    Publishing date 2024-04-12
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2719222-2
    ISSN 1929-0748
    ISSN 1929-0748
    DOI 10.2196/50157
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article ; Online: Impact of the COVID-19 on the Seasonal Mortality Pattern in Spain

    Martin, Jose Luis R.

    SSRN Electronic Journal ; ISSN 1556-5068

    Unexpected Change in Trend as an Objective and Early Marker of Health Alert

    2020  

    Keywords covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.2139/ssrn.3667683
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  5. Article ; Online: Sustainable routes for acetic acid production: Traditional processes vs a low-carbon, biogas-based strategy.

    Martín-Espejo, Juan Luis / Gandara-Loe, Jesús / Odriozola, José Antonio / Reina, T R / Pastor-Pérez, Laura

    The Science of the total environment

    2022  Volume 840, Page(s) 156663

    Abstract: The conversion of biogas, mainly formed of ... ...

    Abstract The conversion of biogas, mainly formed of CO
    MeSH term(s) Acetic Acid ; Biofuels ; Carbon ; Carbon Dioxide ; Steam
    Chemical Substances Biofuels ; Steam ; Carbon Dioxide (142M471B3J) ; Carbon (7440-44-0) ; Acetic Acid (Q40Q9N063P)
    Language English
    Publishing date 2022-06-13
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.156663
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: A Dual Role for FADD in Human Precursor T-Cell Neoplasms.

    Marín-Rubio, José Luis / Vela-Martín, Laura / Gudgeon, Jack / Pérez-Gómez, Eduardo / Sidgwick, Frances R / Trost, Matthias / Cunningham, Debbie L / Santos, Javier / Fernández-Piqueras, José / Villa-Morales, María

    International journal of molecular sciences

    2022  Volume 23, Issue 23

    Abstract: A reduction ... ...

    Abstract A reduction in
    Language English
    Publishing date 2022-12-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms232315157
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: Comparison of Quantitative Mass Spectrometric Methods for Drug Target Identification by Thermal Proteome Profiling.

    George, Amy L / Sidgwick, Frances R / Watt, Jessica E / Martin, Mathew P / Trost, Matthias / Marín-Rubio, José Luis / Dueñas, Maria Emilia

    Journal of proteome research

    2023  Volume 22, Issue 8, Page(s) 2629–2640

    Abstract: Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide interactions of small therapeutic molecules and their target and off-target proteins, complementing phenotypic-based drug screens. Detecting differences in thermal ... ...

    Abstract Thermal proteome profiling (TPP) provides a powerful approach to studying proteome-wide interactions of small therapeutic molecules and their target and off-target proteins, complementing phenotypic-based drug screens. Detecting differences in thermal stability due to target engagement requires high quantitative accuracy and consistent detection. Isobaric tandem mass tags (TMTs) are used to multiplex samples and increase quantification precision in TPP analysis by data-dependent acquisition (DDA). However, advances in data-independent acquisition (DIA) can provide higher sensitivity and protein coverage with reduced costs and sample preparation steps. Herein, we explored the performance of different DIA-based label-free quantification approaches compared to TMT-DDA for thermal shift quantitation. Acute myeloid leukemia cells were treated with losmapimod, a known inhibitor of MAPK14 (p38α). Label-free DIA approaches, and particularly the library-free mode in DIA-NN, were comparable of TMT-DDA in their ability to detect target engagement of losmapimod with MAPK14 and one of its downstream targets, MAPKAPK3. Using DIA for thermal shift quantitation is a cost-effective alternative to labeled quantitation in the TPP pipeline.
    MeSH term(s) Mass Spectrometry/methods ; Mitogen-Activated Protein Kinase 14 ; Proteome/analysis ; Proteomics/methods
    Chemical Substances 6-(5-((cyclopropylamino)carbonyl)-3-fluoro-2-methylphenyl)-N-(2,2-dimethylprpyl)-3-pyridinecarboxamide ; Mitogen-Activated Protein Kinase 14 (EC 2.7.11.24) ; Proteome
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2078618-9
    ISSN 1535-3907 ; 1535-3893
    ISSN (online) 1535-3907
    ISSN 1535-3893
    DOI 10.1021/acs.jproteome.3c00111
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Sustainable routes for acetic acid production: Traditional processes vs a low-carbon, biogas-based strategy

    Martín-Espejo, Juan Luis / Gandara-Loe, Jesús / Odriozola, José Antonio / Reina, T.R. / Pastor-Pérez, Laura

    Science of the total environment. 2022 Sept. 20, v. 840

    2022  

    Abstract: The conversion of biogas, mainly formed of CO₂ and CH₄, into high-value platform chemicals is increasing attention in a context of low-carbon societies. In this new paradigm, acetic acid (AA) is deemed as an interesting product for the chemical industry. ...

    Abstract The conversion of biogas, mainly formed of CO₂ and CH₄, into high-value platform chemicals is increasing attention in a context of low-carbon societies. In this new paradigm, acetic acid (AA) is deemed as an interesting product for the chemical industry. Herein we present a fresh overview of the current manufacturing approaches, compared to potential low-carbon alternatives. The use of biogas as primary feedstock to produce acetic acid is an auspicious alternative, representing a step-ahead on carbon-neutral industrial processes. Within the spirit of a circular economy, we propose and analyse a new BIO-strategy with two noteworthy pathways to potentially lower the environmental impact. The generation of syngas via dry reforming (DRM) combined with CO₂ utilisation offers a way to produce acetic acid in a two-step approach (BIO-Indirect route), replacing the conventional, petroleum-derived steam reforming process. The most recent advances on catalyst design and technology are discussed. On the other hand, the BIO-Direct route offers a ground-breaking, atom-efficient way to directly generate acetic acid from biogas. Nevertheless, due to thermodynamic restrictions, the use of plasma technology is needed to directly produce acetic acid. This very promising approach is still in an early stage. Particularly, progress in catalyst design is mandatory to enable low-carbon routes for acetic acid production.
    Keywords acetic acid ; biogas ; carbon dioxide ; catalysts ; chemical industry ; circular economy ; environment ; environmental impact ; feedstocks ; steam ; synthesis gas ; thermodynamics
    Language English
    Dates of publication 2022-0920
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 121506-1
    ISSN 1879-1026 ; 0048-9697
    ISSN (online) 1879-1026
    ISSN 0048-9697
    DOI 10.1016/j.scitotenv.2022.156663
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  9. Article ; Online: Animal Experimental Models in Bone Metabolic Disease.

    Usategui-Martín, Ricardo / Pérez-Castrillón, José Luis

    International journal of molecular sciences

    2023  Volume 24, Issue 11

    Abstract: Bone is a highly specialized and dynamic tissue with several crucial functions, including support, movement support, protection of vital organs, and mineral storage [ ... ]. ...

    Abstract Bone is a highly specialized and dynamic tissue with several crucial functions, including support, movement support, protection of vital organs, and mineral storage [...].
    MeSH term(s) Animals ; Bone Diseases, Metabolic/metabolism ; Bone and Bones/metabolism ; Models, Animal
    Language English
    Publishing date 2023-05-31
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24119534
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: A prognostic model based on gene expression parameters predicts a better response to bortezomib-containing immunochemotherapy in diffuse large B-cell lymphoma.

    Mosquera Orgueira, Adrián / Díaz Arías, Jose Ángel / Serrano Martín, Rocio / Portela Piñeiro, Victor / Cid López, Miguel / Peleteiro Raíndo, Andrés / Bao Pérez, Laura / González Pérez, Marta Sonia / Pérez Encinas, Manuel Mateo / Fraga Rodríguez, Máximo Francisco / Vallejo Llamas, Juan Carlos / Bello López, José Luis

    Frontiers in oncology

    2023  Volume 13, Page(s) 1157646

    Abstract: ... of bortezomib to the standard treatment (R-CHOP) in the upfront setting of DLBCL. For this, we retrained ... the machine learning model of survival on the group of patients treated with R-CHOP (N=469) and then made survival ... predictions for those patients treated with bortezomib plus R-CHOP (N=459). According to these results, the RB ...

    Abstract Diffuse Large B-cell Lymphoma (DLBCL) is the most common type of aggressive lymphoma. Approximately 60% of fit patients achieve curation with immunochemotherapy, but the remaining patients relapse or have refractory disease, which predicts a short survival. Traditionally, risk stratification in DLBCL has been based on scores that combine clinical variables. Other methodologies have been developed based on the identification of novel molecular features, such as mutational profiles and gene expression signatures. Recently, we developed the LymForest-25 profile, which provides a personalized survival risk prediction based on the integration of transcriptomic and clinical features using an artificial intelligence system. In the present report, we studied the relationship between the molecular variables included in LymForest-25 in the context of the data released by the REMoDL-B trial, which evaluated the addition of bortezomib to the standard treatment (R-CHOP) in the upfront setting of DLBCL. For this, we retrained the machine learning model of survival on the group of patients treated with R-CHOP (N=469) and then made survival predictions for those patients treated with bortezomib plus R-CHOP (N=459). According to these results, the RB-CHOP scheme achieved a 30% reduction in the risk of progression or death for the 50% of DLBCL patients at higher molecular risk (p-value 0.03), potentially expanding the effectiveness of this treatment to a wider patient population as compared with other previously defined risk groups.
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1157646
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top