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  1. Article ; Online: Urine Biochemistry of a Human Fetus with Urinary Tract Obstruction - A Case Report.

    Mongia, Alessandra / Milletti, Eva / Bonari, Alessandro / Lanzilao, Luisa / Pasquini, Lucia / Dani, Carlo / Fanelli, Alessandra

    Fetal and pediatric pathology

    2022  Volume 42, Issue 1, Page(s) 72–76

    Abstract: Introduction: Fetal lower urinary tract obstruction (LUTO) can be mild or severe with oligohydramnios, renal dysplasia and pulmonary hypoplasia. Fetal urine biochemical markers correlate with fetal prognosis and, if favorable, surgical intervention is ... ...

    Abstract Introduction: Fetal lower urinary tract obstruction (LUTO) can be mild or severe with oligohydramnios, renal dysplasia and pulmonary hypoplasia. Fetal urine biochemical markers correlate with fetal prognosis and, if favorable, surgical intervention is feasible.
    Methods: We report a patient in her 18th gestational week whose fetus was diagnosed with LUTO and underwent fetal urine sampling for calcium, sodium, chloride, beta2-microglobulin and total protein of the routine LUTO panel, with the addition of creatinine, glucose, phosphate, urea, ammonia, albumin, and NGAL.
    Results: Although the routine fetal urine biochemistry seemed to be favorably trending favorably, sodium, beta2-microglobulin, glucose, and urea did not decrease to the reference ranges, and ammonia and creatinine were lower than the reference ranges. Ultrasound demonstrated no improvement of the obstruction.
    Conclusions: This case highlights the need to acquire further experience with biochemical fetal urine markers in order to better manage LUTO.
    MeSH term(s) Humans ; Pregnancy ; Female ; Creatinine ; Ammonia ; Urethral Obstruction/diagnosis ; Urethral Obstruction/etiology ; Urethral Obstruction/surgery ; Fetus ; Biomarkers ; Sodium ; Urea ; Glucose ; Urinary Tract ; Ultrasonography, Prenatal
    Chemical Substances Creatinine (AYI8EX34EU) ; Ammonia (7664-41-7) ; Biomarkers ; Sodium (9NEZ333N27) ; Urea (8W8T17847W) ; Glucose (IY9XDZ35W2)
    Language English
    Publishing date 2022-02-28
    Publishing country England
    Document type Case Reports ; Journal Article
    ZDB-ID 2165508-X
    ISSN 1551-3823 ; 1551-3815 ; 1522-7952
    ISSN (online) 1551-3823
    ISSN 1551-3815 ; 1522-7952
    DOI 10.1080/15513815.2022.2045403
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Defining and Managing the Preanalytical Phase With FMECA: Automation and/or "Human" Control.

    Bellini, Claudia / Guerranti, Roberto / Cinci, Francesca / Milletti, Eva / Scapellato, Carlo

    Human factors

    2019  Volume 62, Issue 1, Page(s) 20–36

    Abstract: Objective: Our scope is to provide methodological elements on how to manage effectively the preanalytical phase in the laboratory testing process, by objectively measuring the risk connected to the phases handled by man with respect to those managed by ... ...

    Abstract Objective: Our scope is to provide methodological elements on how to manage effectively the preanalytical phase in the laboratory testing process, by objectively measuring the risk connected to the phases handled by man with respect to those managed by machines.
    Background: Preanalytical errors account for most of the mistakes related to laboratory testing and can affect patient care. Hence, it is necessary to manage the risk connected to the preanalytical phase, as required by certification and accreditation bodies. The risk assessment discloses the steps at greater risk and gives indications to make decisions.
    Method: We have reviewed the state of art in the automation of the preanalytical phase, addressing needs and problems. We have used the proactive risk assessment methodology FMECA (Failure Mode, Effects, and Criticality Analysis) to identify the most critical phases in our preanalytical process and have calculated the risk associated.
    Results: The most critical phases were the human controlled ones. In particular, the highest risk indexes were associated to manual acceptance of test orders, identification of the patients, tube labeling, and sample collection.
    Conclusion: Automation in the preanalytical phase is fundamental to replace, support, or extend the human contribution. Nevertheless each organization is different about workloads and competencies, so the most suitable management must be tailor-made in each context.
    Application: We present a method by which each organization is able to find its best balance between automation and human contribution in the control of the preanalytical phase.
    MeSH term(s) Automation ; Diagnostic Errors ; Humans ; Medical Informatics ; Medical Laboratory Personnel ; Patient Safety ; Pre-Analytical Phase ; Process Assessment, Health Care ; Risk Assessment
    Language English
    Publishing date 2019-09-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 212725-8
    ISSN 1547-8181 ; 0018-7208
    ISSN (online) 1547-8181
    ISSN 0018-7208
    DOI 10.1177/0018720819874906
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors.

    Fiorucci, Diego / Milletti, Eva / Orofino, Francesco / Brizzi, Antonella / Mugnaini, Claudia / Corelli, Federico

    Journal of biomolecular structure & dynamics

    2020  Volume 39, Issue 16, Page(s) 6242–6248

    Abstract: Accepted 7 July 2020ABSTRACTSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for the known COVID-19 disease. Since currently no definitive therapies or vaccines for the SARS-CoV-2 virus are available, there is an ... ...

    Abstract Accepted 7 July 2020ABSTRACTSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for the known COVID-19 disease. Since currently no definitive therapies or vaccines for the SARS-CoV-2 virus are available, there is an urgent need to identify effective drugs against SARS-CoV-2 infection. One of the best-known targets available is the main protease of this virus, crucial for the processing of polyproteins codified by viral RNA. In this work, we used a computational virtual screening procedure for the repurposing of commercial drugs available in the DrugBank database as inhibitors of the SARS-CoV-2 main protease. Molecular docking calculations and molecular dynamics (MD) simulations have been applied. The computational model was validated through a self-docking procedure. The screening procedure highlighted five interesting drugs that showed a comparable or higher docking score compared to the crystallographic compound and maintained the protein binding during the MD runs. Amongst these drugs, Ritonavir has been used in clinical trials with patients affected by COVID-19 and Nelfinavir showed anti-SARS-CoV-2 activity. The five identified drugs could be evaluated experimentally as inhibitors of the SARS-CoV-2 main protease in view of a possible COVID-19 treatment. Communicated by Ramaswamy H. Sarma.
    MeSH term(s) COVID-19/drug therapy ; COVID-19 Vaccines ; Drug Repositioning ; Humans ; Molecular Docking Simulation ; Protease Inhibitors ; SARS-CoV-2
    Chemical Substances COVID-19 Vaccines ; Protease Inhibitors
    Keywords covid19
    Language English
    Publishing date 2020-07-24
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1796805
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Identification of Amoxicillin Crystals in Urine: a Case Report.

    Fanelli, Alessandra / Rapi, Stefano / Dugheri, Stefano / Bonari, Alessandro / Milletti, Eva / Cappelli, Giovanni / Mucci, Nicola / Arcangeli, Giulio

    Clinical laboratory

    2020  Volume 66, Issue 3

    Abstract: Background: The case concerns a 30-year-old woman in the 24th week of pregnancy presenting to the medical emergency room with fever and abdominal pain. Urine sediment microscopy revealed the presence of unknown needle-shaped crystals.: Methods: ... ...

    Abstract Background: The case concerns a 30-year-old woman in the 24th week of pregnancy presenting to the medical emergency room with fever and abdominal pain. Urine sediment microscopy revealed the presence of unknown needle-shaped crystals.
    Methods: Crystals identification was performed by Fourier-Transform Infrared Spectroscopy coupled to Attenuated Total Reflectance (FTIR-ATR).
    Results: Amoxicillin crystals were verified with semiquantitative results of 87.7%.
    Conclusions: Drug-induced crystalluria is a frequent finding in urine examination and it may be asymptomatic. FTIR spectroscopy is a rapid and specific tool in identification of crystals and could be useful supporting renal disease diagnosis and monitoring drug therapy.
    MeSH term(s) Adult ; Amoxicillin/chemistry ; Amoxicillin/urine ; Anti-Bacterial Agents/chemistry ; Anti-Bacterial Agents/urine ; Female ; Humans ; Microscopy ; Pregnancy ; Pregnancy Complications/diagnosis ; Pregnancy Complications/urine ; Spectroscopy, Fourier Transform Infrared ; Urinalysis ; Urinary Calculi/chemistry ; Urinary Calculi/urine
    Chemical Substances Anti-Bacterial Agents ; Amoxicillin (804826J2HU)
    Language English
    Publishing date 2020-03-11
    Publishing country Germany
    Document type Case Reports
    ZDB-ID 1307629-2
    ISSN 1433-6510 ; 0941-2131
    ISSN 1433-6510 ; 0941-2131
    DOI 10.7754/Clin.Lab.2019.190606
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors

    Fiorucci, Diego / Milletti, Eva / Orofino, Francesco / Brizzi, Antonella / Mugnaini, Claudia / Corelli, Federico

    J Biomol Struct Dyn

    Abstract: Accepted 7 July 2020ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for the known COVID-19 disease. Since currently no definitive therapies or vaccines for the SARS-CoV-2 virus are available, there is an ... ...

    Abstract Accepted 7 July 2020ABSTRACT Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the virus responsible for the known COVID-19 disease. Since currently no definitive therapies or vaccines for the SARS-CoV-2 virus are available, there is an urgent need to identify effective drugs against SARS-CoV-2 infection. One of the best-known targets available is the main protease of this virus, crucial for the processing of polyproteins codified by viral RNA. In this work, we used a computational virtual screening procedure for the repurposing of commercial drugs available in the DrugBank database as inhibitors of the SARS-CoV-2 main protease. Molecular docking calculations and molecular dynamics (MD) simulations have been applied. The computational model was validated through a self-docking procedure. The screening procedure highlighted five interesting drugs that showed a comparable or higher docking score compared to the crystallographic compound and maintained the protein binding during the MD runs. Amongst these drugs, Ritonavir has been used in clinical trials with patients affected by COVID-19 and Nelfinavir showed anti-SARS-CoV-2 activity. The five identified drugs could be evaluated experimentally as inhibitors of the SARS-CoV-2 main protease in view of a possible COVID-19 treatment. Communicated by Ramaswamy H. Sarma.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #670348
    Database COVID19

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  6. Article ; Online: Computational drug repurposing for the identification of SARS-CoV-2 main protease inhibitors

    Fiorucci, Diego / Milletti, Eva / Orofino, Francesco / Brizzi, Antonella / Mugnaini, Claudia / Corelli, Federico

    Journal of Biomolecular Structure and Dynamics

    2020  , Page(s) 1–7

    Keywords Molecular Biology ; Structural Biology ; General Medicine ; covid19
    Language English
    Publisher Informa UK Limited
    Publishing country uk
    Document type Article ; Online
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1796805
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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