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  1. Article ; Online: Editorial: Systems Biology Approach to the Immunology of Asthma and Allergy.

    Karaaslan, Cagatay / Mayorga, Cristobalina / Baerenfaller, Katja / Escribese, María M

    Frontiers in immunology

    2022  Volume 13, Page(s) 857403

    MeSH term(s) Asthma ; Humans ; Hypersensitivity ; Systems Biology
    Language English
    Publishing date 2022-02-14
    Publishing country Switzerland
    Document type Editorial ; Introductory Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2022.857403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The TGF-β-Th2 axis: A new target for cancer therapy?

    García de Durango, Cira Rosario / Escribese, Maria M / Rosace, Domenico

    Allergy

    2021  Volume 76, Issue 11, Page(s) 3563–3565

    MeSH term(s) Humans ; Interleukin-4 ; Neoplasms/drug therapy ; Th2 Cells ; Transforming Growth Factor beta
    Chemical Substances Transforming Growth Factor beta ; Interleukin-4 (207137-56-2)
    Language English
    Publishing date 2021-06-25
    Publishing country Denmark
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 391933-x
    ISSN 1398-9995 ; 0105-4538
    ISSN (online) 1398-9995
    ISSN 0105-4538
    DOI 10.1111/all.14965
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    In stock of ZB MED Cologne/Königswinter

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  3. Article ; Online: Editorial

    Cagatay Karaaslan / Cristobalina Mayorga / Katja Baerenfaller / María M. Escribese

    Frontiers in Immunology, Vol

    Systems Biology Approach to the Immunology of Asthma and Allergy

    2022  Volume 13

    Keywords allergy ; system biology ; asthma ; immunology ; biomarker ; Immunologic diseases. Allergy ; RC581-607
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: Metabolomics strategies to discover new biomarkers associated to severe allergic phenotypes.

    Barber, Domingo / Villaseñor, Alma / Escribese, Maria M

    Asia Pacific allergy

    2019  Volume 9, Issue 4, Page(s) e37

    Abstract: In the last decades have emerged new technological platforms that allow evaluation of genes, transcripts, proteins, or metabolites of a living being, so-called omics sciences. More importantly, new technics for their integration have provided access to a ...

    Abstract In the last decades have emerged new technological platforms that allow evaluation of genes, transcripts, proteins, or metabolites of a living being, so-called omics sciences. More importantly, new technics for their integration have provided access to a complete set of information of the current conditions and features of a specific biological sample in a precise moment. Thus, omic sciences are now considered an essential tool for patient stratification in base to their severity, to understand disease progression and to identify new biomarkers. Severe patients, that are out of control, provide an excellent model to understand disease evolution and to identify new intervention and biomarkers strategies. Here we discuss the use of metabolomics to understand severity in allergic diseases in a strategy that opens new insights as well as identify new biological systems relevant for allergy progression. Metabolomics strategies are based in parallel evaluation of different allergy severity models by mean of untargeted analysis that allows the identification of potential biomarkers. Overlapping of different biomarkers in multiple models, provides information of general as well as specific biological systems involved in each model. Later a selected panel of biomarkers will be used in a target method to explore the diagnosis potential to stratify allergic patients.
    Language English
    Publishing date 2019-10-28
    Publishing country Korea (South)
    Document type Journal Article ; Review
    ZDB-ID 2614800-6
    ISSN 2233-8268 ; 2233-8276
    ISSN (online) 2233-8268
    ISSN 2233-8276
    DOI 10.5415/apallergy.2019.9.e37
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  5. Article: Metabolomics in the Identification of Biomarkers of Asthma.

    Villaseñor, Alma / Eguiluz-Gracia, Ibon / Moreira, André / Wheelock, Craig E / Escribese, María M

    Metabolites

    2021  Volume 11, Issue 6

    Abstract: Asthma is a major non-communicable disease characterized by recurrent attacks of breathlessness and wheezing [ ... ]. ...

    Abstract Asthma is a major non-communicable disease characterized by recurrent attacks of breathlessness and wheezing [...].
    Language English
    Publishing date 2021-05-29
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo11060346
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Biomarkers of AIT: Models of prediction of efficacy.

    Tan, Tiak Ju / Delgado-Dolset, María I / Escribese, María M / Barber, Domingo / Layhadi, Janice A / Shamji, Mohamed H

    Allergologie select

    2022  Volume 6, Page(s) 267–275

    Abstract: Allergic rhinitis is an IgE-mediated inflammation that remains a clinical challenge, affecting 40% of the UK population with a wide range of severity from nasal discomfort to life-threatening anaphylaxis. It can be managed by pharmacotherapeutics and in ... ...

    Abstract Allergic rhinitis is an IgE-mediated inflammation that remains a clinical challenge, affecting 40% of the UK population with a wide range of severity from nasal discomfort to life-threatening anaphylaxis. It can be managed by pharmacotherapeutics and in selected patients by allergen immunotherapy (AIT), which provides long-term clinical efficacy, especially during peak allergy season. However, there are no definitive biomarkers for AIT efficacy. Here, we aim to summarize the key adaptive, innate, humoral, and metabolic advances in biomarker identification in response to AIT. Mechanisms of efficacy consist of an immune deviation towards T
    Language English
    Publishing date 2022-11-21
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2893503-2
    ISSN 2512-8957 ; 2512-8957
    ISSN (online) 2512-8957
    ISSN 2512-8957
    DOI 10.5414/ALX02333E
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Development of a Novel Targeted Metabolomic LC-QqQ-MS Method in Allergic Inflammation.

    Obeso, David / Contreras, Nuria / Dolores-Hernández, Mariana / Carrillo, Teresa / Barbas, Coral / Escribese, María M / Villaseñor, Alma / Barber, Domingo

    Metabolites

    2022  Volume 12, Issue 7

    Abstract: The transition from mild to severe allergic phenotypes is still poorly understood and there is an urgent need of incorporating new therapies, accompanied by personalized diagnosis approaches. This work presents the development of a novel targeted ... ...

    Abstract The transition from mild to severe allergic phenotypes is still poorly understood and there is an urgent need of incorporating new therapies, accompanied by personalized diagnosis approaches. This work presents the development of a novel targeted metabolomic methodology for the analysis of 36 metabolites related to allergic inflammation, including mostly sphingolipids, lysophospholipids, amino acids, and those of energy metabolism previously identified in non-targeted studies. The methodology consisted of two complementary chromatography methods, HILIC and reversed-phase. These were developed using liquid chromatography, coupled to triple quadrupole mass spectrometry (LC-QqQ-MS) in dynamic multiple reaction monitoring (dMRM) acquisition mode and were validated using ICH guidelines. Serum samples from two clinical models of allergic asthma patients were used for method application, which were as follows: (1) corticosteroid-controlled (ICS,
    Language English
    Publishing date 2022-06-25
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo12070592
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  8. Article ; Online: Allergen-specific immunotherapy: Power of adjuvants and novel predictive biomarkers.

    Sokolowska, Milena / Boonpiyathad, Tadech / Escribese, Maria M / Barber, Domingo

    Allergy

    2019  Volume 74, Issue 11, Page(s) 2061–2063

    MeSH term(s) Adjuvants, Immunologic ; Allergens ; Animals ; Arachis ; Biomarkers ; Desensitization, Immunologic ; Interleukin-10 ; Mice ; Th2 Cells
    Chemical Substances Adjuvants, Immunologic ; Allergens ; Biomarkers ; Interleukin-10 (130068-27-8)
    Language English
    Publishing date 2019-07-02
    Publishing country Denmark
    Document type Editorial ; Comment
    ZDB-ID 391933-x
    ISSN 1398-9995 ; 0105-4538
    ISSN (online) 1398-9995
    ISSN 0105-4538
    DOI 10.1111/all.13973
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    In stock of ZB MED Cologne/Königswinter

    Uh III Zs.150: Show issues Location:
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  9. Article ; Online: Determinants of poor clinical outcome in patients with influenza pneumonia: A systematic review and meta-analysis.

    Arranz-Herrero, Javier / Presa, Jesús / Rius-Rocabert, Sergio / Utrero-Rico, Alberto / Arranz-Arija, José Ángel / Lalueza, Antonio / Escribese, María M / Ochando, Jordi / Soriano, Vicente / Nistal-Villan, Estanislao

    International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

    2023  Volume 131, Page(s) 173–179

    Abstract: Background: The clinical burden of influenza is increasing worldwide. Aging, immunosuppression, and underlying respiratory illness are determinants of poor clinical outcomes, including greater mortality. Bacterial infections seem to be the main reason. ... ...

    Abstract Background: The clinical burden of influenza is increasing worldwide. Aging, immunosuppression, and underlying respiratory illness are determinants of poor clinical outcomes, including greater mortality. Bacterial infections seem to be the main reason. Updated information on the role of bacterial infection as the cause of complications would be of value in improving the prognosis of patients with influenza.
    Methods: A systematic review and meta-analysis were performed by using the PubMed repository using keywords like: Influenza, H1N1, Streptococcus pneumoniae, bacterial coinfection, secondary coinfection, bacterial complications in pneumonia, and seasonal influenza. Only articles written in English were included in publications from 2010 to 2020. The analyses were conducted following the preferred reporting items for systematic review and meta-analyses guidelines. The results were independently validated using a TrinetX database cohort of roughly 4 million patients.
    Results: We included 135 studies that contained data from 48,259 patients hospitalized with influenza of any age. Bacterial infections were diagnosed in 5391 (11.2%). Streptococcus pneumoniae (30.7%) and Staphylococcus aureus (30.4%) were the most frequent microorganisms, followed by Haemophilus influenzae (7.1%) and Pseudomonas aeruginosa (5.9%). The random-effects model of the meta-analysis indicated that bacterial infections posed a 3.4-fold increased risk of death compared with influenza infection alone. Unexpectedly, asthma was protective (odds ratio 0.8).
    Conclusion: Bacterial infections diagnosed in 11.2% of patients with influenza increase 3.4-fold the mortality risk. S. pneumoniae, S. aureus, H. influenzae, and P. aeruginosa account for nearly 75% of the cases. Earlier diagnosis and use of antibiotics should improve outcomes in this population.
    MeSH term(s) Humans ; Influenza, Human/complications ; Influenza, Human/drug therapy ; Influenza, Human/diagnosis ; Staphylococcus aureus ; Coinfection/epidemiology ; Influenza A Virus, H1N1 Subtype ; Pneumonia/epidemiology ; Streptococcus pneumoniae ; Staphylococcal Infections/epidemiology ; Haemophilus influenzae
    Language English
    Publishing date 2023-04-07
    Publishing country Canada
    Document type Meta-Analysis ; Systematic Review ; Journal Article
    ZDB-ID 1331197-9
    ISSN 1878-3511 ; 1201-9712
    ISSN (online) 1878-3511
    ISSN 1201-9712
    DOI 10.1016/j.ijid.2023.04.003
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  10. Article: Mechanisms of Allergen Immunotherapy and Potential Biomarkers for Clinical Evaluation.

    Sahiner, Umit M / Giovannini, Mattia / Escribese, Maria M / Paoletti, Giovanni / Heffler, Enrico / Alvaro Lozano, Montserrat / Barber, Domingo / Canonica, Giorgio Walter / Pfaar, Oliver

    Journal of personalized medicine

    2023  Volume 13, Issue 5

    Abstract: Allergen-immunotherapy (AIT) is an efficacious and disease-modifying treatment option for IgE-mediated diseases. Among these allergic rhinitis, insect venom allergy, food allergy, and allergic asthma are the most common candidates for AIT. AIT gives rise ...

    Abstract Allergen-immunotherapy (AIT) is an efficacious and disease-modifying treatment option for IgE-mediated diseases. Among these allergic rhinitis, insect venom allergy, food allergy, and allergic asthma are the most common candidates for AIT. AIT gives rise to clinical immunotolerance which may last for years after the treatment cessation. Mechanisms of AIT include suppression of allergic inflammation in target tissues and stimulation of the production of blocking antibodies, especially IgG4 and IgA. These mechanisms are followed by a reduction of underlying allergen-specific Th2 cell-driven responses to the allergens. Tolerance induction takes place through the desensitization of effector cells and stimulation of regulatory T cells that show their effects by mechanisms involving cell-cell cross-talk, but also other mechanisms, e.g., by the production of immunomodulatory cytokines such as, e.g., IL-10 and TGF-beta. From a personalized medical perspective, there is a need for clinical biomarkers of value in selecting responders and optimizing patient care during AIT. Also, a deeper understanding of underlying mechanistic processes will improve AIT's future outcomes. In this paper, the current knowledge of mechanisms in AIT is reviewed with a special focus on biomarkers of this therapy.
    Language English
    Publishing date 2023-05-17
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm13050845
    Database MEDical Literature Analysis and Retrieval System OnLINE

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