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  1. Article ; Online: Myeloid cells hold the master key for T-ALL spread.

    Passaro, Diana

    Blood

    2020  Volume 136, Issue 16, Page(s) 1799–1800

    MeSH term(s) Humans ; Myeloid Cells ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma
    Language English
    Publishing date 2020-10-14
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood.2020007970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Editorial: The Dynamic Interface Between Vascular Blood Vessels to Blood Forming Hematopoietic Stem Cells in Health and Disease.

    Itkin, Tomer / Duarte, Delfim / Passaro, Diana

    Frontiers in cell and developmental biology

    2022  Volume 10, Page(s) 870129

    Language English
    Publishing date 2022-03-04
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2022.870129
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Bioengineering the Bone Marrow Vascular Niche.

    Bessy, Thomas / Itkin, Tomer / Passaro, Diana

    Frontiers in cell and developmental biology

    2021  Volume 9, Page(s) 645496

    Abstract: The bone marrow (BM) tissue is the main physiological site for adult hematopoiesis. In recent years, the cellular and matrix components composing the BM have been defined with unprecedent resolution, both at the molecular and structural levels. With the ... ...

    Abstract The bone marrow (BM) tissue is the main physiological site for adult hematopoiesis. In recent years, the cellular and matrix components composing the BM have been defined with unprecedent resolution, both at the molecular and structural levels. With the expansion of this knowledge, the possibility of reproducing a BM-like structure, to ectopically support and study hematopoiesis, becomes a reality. A number of experimental systems have been implemented and have displayed the feasibility of bioengineering BM tissues, supported by cells of mesenchymal origin. Despite being known as an abundant component of the BM, the vasculature has been largely disregarded for its role in regulating tissue formation, organization and determination. Recent reports have highlighted the crucial role for vascular endothelial cells in shaping tissue development and supporting steady state, emergency and malignant hematopoiesis, both pre- and postnatally. Herein, we review the field of BM-tissue bioengineering with a particular focus on vascular system implementation and integration, starting from describing a variety of applicable
    Language English
    Publishing date 2021-04-28
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2737824-X
    ISSN 2296-634X
    ISSN 2296-634X
    DOI 10.3389/fcell.2021.645496
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Predicting acute kidney injury with an artificial intelligence-driven model in a pediatric cardiac intensive care unit.

    Fragasso, Tiziana / Raggi, Valeria / Passaro, Davide / Tardella, Luca / Lasinio, Giovanna Jona / Ricci, Zaccaria

    Journal of anesthesia, analgesia and critical care

    2023  Volume 3, Issue 1, Page(s) 37

    Abstract: Background: Acute kidney injury (AKI) is among the most common complications following cardiac surgery in adult and pediatric patients, significantly affecting morbidity and mortality. Artificial Intelligence (AI) with Machine Learning (ML) can be used ... ...

    Abstract Background: Acute kidney injury (AKI) is among the most common complications following cardiac surgery in adult and pediatric patients, significantly affecting morbidity and mortality. Artificial Intelligence (AI) with Machine Learning (ML) can be used to predict outcomes. AKI diagnosis anticipation may be an ideal target of these methods. The scope of the study is building a Machine Learning (ML) train model with Random Forest (RF) algorithm, based on electronic health record (EHR) data, able to forecast AKI continuously after 48 h in post-cardiac surgery children, and to test its performance. Four hundred nineteen consecutive patients out of 1115 hospital admissions were enrolled in a single-center retrospective study. Patients were younger than 18 years and admitted from August 2018 to February 2020 in a pediatric cardiac intensive care unit (PCICU) undergoing cardiac surgery, invasive procedure (hemodynamic studies), and medical conditions with complete EHR records and discharged after 48 h or more.
    Results: Thirty-six variables were selected to build the algorithm according to commonly described cardiac surgery-associated AKI clinical predictors. We evaluated different models for different outcomes: binary AKI (no AKI vs. AKI), severe AKI (no-mild vs severe AKI), and multiclass classification (maximum AKI and the most frequent level of AKI, mode AKI). The algorithm performance was assessed with the area under the curve receiver operating characteristics (AUC ROC) for binary classification, with accuracy and K for multiclass classification. AUC ROC for binary AKI was 0.93 (95% CI 0.92-0.94), and for severe AKI was 0.99 (95% CI 0.98-1). Mode AKI accuracy was 0.95, and K was 0.80 (95% CI 0.94-0.96); maximum AKI accuracy was 0.92, and K was 0.71 (95% CI 0.91-0.93). The importance matrix plot demonstrated creatinine, basal creatinine, platelets count, adrenaline support, and lactate dehydrogenase for binary AKI with the addition of cardiopulmonary bypass duration for severe AKI as the most relevant variables of the model.
    Conclusions: We validated a ML model to detect AKI occurring after 48 h in a retrospective observational study that could help clinicians in individuating patients at risk of AKI, in which a preventive strategy can be determinant to improve the occurrence of renal dysfunction.
    Language English
    Publishing date 2023-10-18
    Publishing country England
    Document type Journal Article
    ISSN 2731-3786
    ISSN (online) 2731-3786
    DOI 10.1186/s44158-023-00125-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: How to say NO to vascular disruption and stem cell mobilization.

    Passaro, Diana / Bonnet, Dominique

    Expert opinion on therapeutic targets

    2018  Volume 22, Issue 7, Page(s) 563–565

    MeSH term(s) Bone Marrow Cells/cytology ; Hematopoietic Stem Cell Mobilization/methods ; Humans ; Leukemia, Myeloid, Acute/pathology ; Leukemia, Myeloid, Acute/therapy ; Nitric Oxide/metabolism
    Chemical Substances Nitric Oxide (31C4KY9ESH)
    Language English
    Publishing date 2018-06-17
    Publishing country England
    Document type Editorial ; Research Support, Non-U.S. Gov't
    ZDB-ID 2055208-7
    ISSN 1744-7631 ; 1472-8222
    ISSN (online) 1744-7631
    ISSN 1472-8222
    DOI 10.1080/14728222.2018.1486821
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Dynamic contrast-enhanced magnetic resonance imaging quantification of leukemia-induced changes in bone marrow vascular function.

    Gomes, Ana L / Gribben, John / Siow, Bernard / Passaro, Diana / Bonnet, Dominique

    Haematologica

    2021  Volume 106, Issue 8, Page(s) 2281–2286

    MeSH term(s) Bone Marrow/diagnostic imaging ; Humans ; Leukemia ; Magnetic Resonance Imaging
    Language English
    Publishing date 2021-08-01
    Publishing country Italy
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2333-4
    ISSN 1592-8721 ; 0017-6567 ; 0390-6078
    ISSN (online) 1592-8721
    ISSN 0017-6567 ; 0390-6078
    DOI 10.3324/haematol.2020.277269
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Machine Learning and Antibiotic Management.

    Maviglia, Riccardo / Michi, Teresa / Passaro, Davide / Raggi, Valeria / Bocci, Maria Grazia / Piervincenzi, Edoardo / Mercurio, Giovanna / Lucente, Monica / Murri, Rita

    Antibiotics (Basel, Switzerland)

    2022  Volume 11, Issue 3

    Abstract: Machine learning and cluster analysis applied to the clinical setting of an intensive care unit can be a valuable aid for clinical management, especially with the increasing complexity of clinical monitoring. Providing a method to measure clinical ... ...

    Abstract Machine learning and cluster analysis applied to the clinical setting of an intensive care unit can be a valuable aid for clinical management, especially with the increasing complexity of clinical monitoring. Providing a method to measure clinical experience, a proxy for that automatic
    Language English
    Publishing date 2022-02-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2681345-2
    ISSN 2079-6382
    ISSN 2079-6382
    DOI 10.3390/antibiotics11030304
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  8. Article ; Online: Introductions to the Community: Early-Career Researchers in the Time of COVID-19.

    Smith, Quinton / McKinley, Kara L / Chan, Chii Jou / Sikandar, Shaheen / Xiang, Yangfei / Passaro, Diana

    Cell stem cell

    2020  Volume 27, Issue 5, Page(s) 702–704

    Abstract: COVID-19 has unfortunately halted lab work, conferences, and in-person networking, which is especially detrimental to researchers just starting their labs. Through social media and our reviewer networks, we met some early-career stem cell investigators ... ...

    Abstract COVID-19 has unfortunately halted lab work, conferences, and in-person networking, which is especially detrimental to researchers just starting their labs. Through social media and our reviewer networks, we met some early-career stem cell investigators impacted by the closures. Here, they introduce themselves and their research to our readers.
    Keywords covid19
    Language English
    Publishing date 2020-11-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375354-7
    ISSN 1875-9777 ; 1934-5909
    ISSN (online) 1875-9777
    ISSN 1934-5909
    DOI 10.1016/j.stem.2020.10.008
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  9. Article ; Online: Author Correction: Dynamic responses of the haematopoietic stem cell niche to diverse stresses.

    Batsivari, Antoniana / Haltalli, Myriam Luydmila Rachelle / Passaro, Diana / Pospori, Constandina / Celso, Cristina Lo / Bonnet, Dominique

    Nature cell biology

    2020  Volume 22, Issue 2, Page(s) 257

    Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper. ...

    Abstract An amendment to this paper has been published and can be accessed via a link at the top of the paper.
    Language English
    Publishing date 2020-01-21
    Publishing country England
    Document type Published Erratum
    ZDB-ID 1474722-4
    ISSN 1476-4679 ; 1465-7392
    ISSN (online) 1476-4679
    ISSN 1465-7392
    DOI 10.1038/s41556-020-0469-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Dynamic responses of the haematopoietic stem cell niche to diverse stresses.

    Batsivari, Antoniana / Haltalli, Myriam Luydmila Rachelle / Passaro, Diana / Pospori, Constandina / Lo Celso, Cristina / Bonnet, Dominique

    Nature cell biology

    2020  Volume 22, Issue 1, Page(s) 7–17

    Abstract: Adult haematopoietic stem cells (HSCs) mainly reside in the bone marrow, where stromal and haematopoietic cells regulate their function. The steady state HSC niche has been extensively studied. In this Review, we focus on how bone marrow microenvironment ...

    Abstract Adult haematopoietic stem cells (HSCs) mainly reside in the bone marrow, where stromal and haematopoietic cells regulate their function. The steady state HSC niche has been extensively studied. In this Review, we focus on how bone marrow microenvironment components respond to different insults including inflammation, malignant haematopoiesis and chemotherapy. We highlight common and unique patterns among multiple cell types and their environment and discuss current limitations in our understanding of this complex and dynamic tissue.
    MeSH term(s) Animals ; Bone Marrow/metabolism ; Cell Differentiation/physiology ; Environment ; Hematopoiesis/physiology ; Hematopoietic Stem Cells/metabolism ; Humans ; Stem Cell Niche/physiology
    Language English
    Publishing date 2020-01-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 1474722-4
    ISSN 1476-4679 ; 1465-7392
    ISSN (online) 1476-4679
    ISSN 1465-7392
    DOI 10.1038/s41556-019-0444-9
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