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  1. Article: Considerations about the multidimensional evaluation of a stab wound tibial neuropathy: a case report.

    Antenucci, Pietro / Carlucci, Domenico / Pugliatti, Maura / Lucchetta, Marta

    Journal of ultrasonography

    2023  Volume 23, Issue 93, Page(s) e97–e100

    Abstract: We present a rare case of a traumatic lesion of the tibial fibers of the sciatic nerve with spared peroneal fibers. A 33-year-old victim of a three month earlier stabbing attack came to our attention with gait impairment and weakened left foot plantar ... ...

    Abstract We present a rare case of a traumatic lesion of the tibial fibers of the sciatic nerve with spared peroneal fibers. A 33-year-old victim of a three month earlier stabbing attack came to our attention with gait impairment and weakened left foot plantar flexion and left foot internal rotation and supination. Based upon clinical signs and neurophysiological investigations we suspected that a traumatic injury of the left tibial nerve had occurred. Ultrasound examination detected a lesion of part of the left sciatic nerve, in a different site than expected. The patient was immediately enlisted for a tailored surgical reconstruction.
    Language English
    Publishing date 2023-05-11
    Publishing country Poland
    Document type Case Reports
    ZDB-ID 2843824-3
    ISSN 2084-8404
    ISSN 2084-8404
    DOI 10.15557/jou.2023.0017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Physical, Mechanical, and Biological Properties of PMMA-Based Composite Bone Cement Containing Silver-Doped Bioactive and Antibacterial Glass Particles with Different Particles Sizes.

    Miola, Marta / Lucchetta, Giovanni / Verné, Enrica

    Materials (Basel, Switzerland)

    2023  Volume 16, Issue 13

    Abstract: In the present work, antibacterial composite bone cement was designed by introducing a bioactive and antibacterial glass into a commercial formulation. The effect of glass particles' addition on the curing parameters of the polymeric matrix was evaluated; ...

    Abstract In the present work, antibacterial composite bone cement was designed by introducing a bioactive and antibacterial glass into a commercial formulation. The effect of glass particles' addition on the curing parameters of the polymeric matrix was evaluated; moreover, the influence of the glass particle size on the glass dispersion, compressive and bending strength, bioactivity, and antibacterial effect was estimated. The results evidence a delay in the polymerization kinetics of the composite cement, which nevertheless complies with the requirements of the ISO standard. Morphological characterization provides evidence of good dispersion of the glass in the polymeric matrix and its exposition on the cement surface. The different glass grain sizes do not affect the composites' bioactivity and compressive strength, while a slight reduction in bending strength was observed for samples containing glass powders with greater dimensions. The size of the glass particles also appears to have an effect on the antibacterial properties, since the composites containing larger glass particles do not produce an inhibition halo towards the S. aureus strain. The obtained results demonstrate that, by carefully tailoring the glass amount and size, a multifunctional device for artificial joint fixing, temporary prostheses, or spinal surgery can be obtained.
    Language English
    Publishing date 2023-06-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2487261-1
    ISSN 1996-1944
    ISSN 1996-1944
    DOI 10.3390/ma16134499
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Drug repositioning by merging active subnetworks validated in cancer and COVID-19.

    Lucchetta, Marta / Pellegrini, Marco

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 19839

    Abstract: Computational drug repositioning aims at ranking and selecting existing drugs for novel diseases or novel use in old diseases. In silico drug screening has the potential for speeding up considerably the shortlisting of promising candidates in response to ...

    Abstract Computational drug repositioning aims at ranking and selecting existing drugs for novel diseases or novel use in old diseases. In silico drug screening has the potential for speeding up considerably the shortlisting of promising candidates in response to outbreaks of diseases such as COVID-19 for which no satisfactory cure has yet been found. We describe DrugMerge as a methodology for preclinical computational drug repositioning based on merging multiple drug rankings obtained with an ensemble of disease active subnetworks. DrugMerge uses differential transcriptomic data on drugs and diseases in the context of a large gene co-expression network. Experiments with four benchmark diseases demonstrate that our method detects in first position drugs in clinical use for the specified disease, in all four cases. Application of DrugMerge to COVID-19 found rankings with many drugs currently in clinical trials for COVID-19 in top positions, thus showing that DrugMerge can mimic human expert judgment.
    MeSH term(s) Antineoplastic Agents/pharmacology ; Antiviral Agents ; COVID-19/genetics ; COVID-19/metabolism ; COVID-19/virology ; Computational Biology/methods ; Databases, Genetic ; Databases, Pharmaceutical ; Drug Repositioning/methods ; Gene Regulatory Networks ; Humans ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/metabolism ; Neoplasms/virology ; SARS-CoV-2/isolation & purification ; COVID-19 Drug Treatment
    Chemical Substances Antineoplastic Agents ; Antiviral Agents
    Language English
    Publishing date 2021-10-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-99399-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Considerations about the multidimensional evaluation of a stab wound tibial neuropathy

    Antenucci Pietro / Carlucci Domenico / Pugliatti Maura / Lucchetta Marta

    Journal of Ultrasonography, Vol 23, Iss 93, Pp e97-e

    a case report

    2023  Volume 100

    Abstract: We present a rare case of a traumatic lesion of the tibial fibers of the sciatic nerve with spared peroneal fibers. A 33-year-old victim of a three month earlier stabbing attack came to our attention with gait impairment and weakened left foot plantar ... ...

    Abstract We present a rare case of a traumatic lesion of the tibial fibers of the sciatic nerve with spared peroneal fibers. A 33-year-old victim of a three month earlier stabbing attack came to our attention with gait impairment and weakened left foot plantar flexion and left foot internal rotation and supination. Based upon clinical signs and neurophysiological investigations we suspected that a traumatic injury of the left tibial nerve had occurred. Ultrasound examination detected a lesion of part of the left sciatic nerve, in a different site than expected. The patient was immediately enlisted for a tailored surgical reconstruction.
    Keywords peripheral nerve diagnosis ; nerve ultrasound ; sciatic nerve ; tibial nerve ; mononeuropathy ; Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Sciendo
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article ; Online: Drug repositioning by merging active subnetworks validated in cancer and COVID-19

    Marta Lucchetta / Marco Pellegrini

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 16

    Abstract: Abstract Computational drug repositioning aims at ranking and selecting existing drugs for novel diseases or novel use in old diseases. In silico drug screening has the potential for speeding up considerably the shortlisting of promising candidates in ... ...

    Abstract Abstract Computational drug repositioning aims at ranking and selecting existing drugs for novel diseases or novel use in old diseases. In silico drug screening has the potential for speeding up considerably the shortlisting of promising candidates in response to outbreaks of diseases such as COVID-19 for which no satisfactory cure has yet been found. We describe DrugMerge as a methodology for preclinical computational drug repositioning based on merging multiple drug rankings obtained with an ensemble of disease active subnetworks. DrugMerge uses differential transcriptomic data on drugs and diseases in the context of a large gene co-expression network. Experiments with four benchmark diseases demonstrate that our method detects in first position drugs in clinical use for the specified disease, in all four cases. Application of DrugMerge to COVID-19 found rankings with many drugs currently in clinical trials for COVID-19 in top positions, thus showing that DrugMerge can mimic human expert judgment.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Finding disease modules for cancer and COVID-19 in gene co-expression networks with the Core&Peel method.

    Lucchetta, Marta / Pellegrini, Marco

    Scientific reports

    2020  Volume 10, Issue 1, Page(s) 17628

    Abstract: Genes are organized in functional modules (or pathways), thus their action and their dysregulation in diseases may be better understood by the identification of the modules most affected by the disease (aka disease modules, or active subnetworks). We ... ...

    Abstract Genes are organized in functional modules (or pathways), thus their action and their dysregulation in diseases may be better understood by the identification of the modules most affected by the disease (aka disease modules, or active subnetworks). We describe how an algorithm based on the Core&Peel method is used to detect disease modules in co-expression networks of genes. We first validate Core&Peel for the general task of functional module detection by comparison with 42 methods participating in the Disease Module Identification DREAM challenge. Next, we use four specific disease test cases (colorectal cancer, prostate cancer, asthma, and rheumatoid arthritis), four state-of-the-art algorithms (ModuleDiscoverer, Degas, KeyPathwayMiner, and ClustEx), and several pathway databases to validate the proposed algorithm. Core&Peel is the only method able to find significant associations of the predicted disease module with known validated relevant pathways for all four diseases. Moreover, for the two cancer datasets, Core&Peel detects further eight relevant pathways not discovered by the other methods used in the comparative analysis. Finally, we apply Core&Peel and other methods to explore the transcriptional response of human cells to SARS-CoV-2 infection, finding supporting evidence for drug repositioning efforts at a pre-clinical level.
    MeSH term(s) Algorithms ; COVID-19 ; Coronavirus Infections/genetics ; Coronavirus Infections/pathology ; Databases, Genetic ; Drug Repositioning ; Gene Expression Profiling ; Gene Ontology ; Gene Regulatory Networks/genetics ; Genome-Wide Association Study ; Humans ; Neoplasms/genetics ; Neoplasms/pathology ; Pandemics ; Pneumonia, Viral/genetics ; Pneumonia, Viral/pathology ; User-Computer Interface
    Keywords covid19
    Language English
    Publishing date 2020-10-19
    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/s41598-020-74705-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Drug Repositioning by Merging Active Subnetworks Validated in Cancer and COVID-19

    Lucchetta, Marta / Pellegrini, MARCO

    medRxiv

    Abstract: Computational Drug Repositioning aims at ranking and selecting existing drugs for use in novel diseases or existing diseases for which these drugs were not originally designed. Using vast amounts of available omic data in digital form within an in silico ...

    Abstract Computational Drug Repositioning aims at ranking and selecting existing drugs for use in novel diseases or existing diseases for which these drugs were not originally designed. Using vast amounts of available omic data in digital form within an in silico screening has the potential for speeding up considerably the shortlisting of promising candidates in response to outbreaks of diseases such as COVID-19 for which no satisfactory cure has yet been found. We describe DrugMerge as a methodology for preclinical computational drug repositioning based on merging multiple drug rankings obtained with an ensemble of Disease Active Subnetwork construction algorithms. DrugMerge uses differential transcriptomic data from cell lines/tissues of patients affected by the disease and differential transcriptomic data from drug perturbation assays, in the context of a large gene co-expression network. Experiments with four benchmark diseases (Asthma, Rheumatoid Arthritis, Prostate Cancer, and Colorectal Cancer) demonstrate that our method detects in first position drugs in clinical use for the specified disease, in all four cases. Our method is competitive with the state-of-the-art tools such as CMAP (Connectivity Map). Application of DrugMerge to COVID-19 data found rankings with many drugs currently in clinical trials for COVID-19 in top positions, thus showing that DrugMerge is able to mimic human expert judgment
    Keywords covid19
    Language English
    Publishing date 2021-05-18
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2021.05.13.21257140
    Database COVID19

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  8. Article ; Online: Finding disease modules for cancer and COVID-19 in gene co-expression networks with the Core&Peel method

    Marta Lucchetta / Marco Pellegrini

    Scientific Reports, Vol 10, Iss 1, Pp 1-

    2020  Volume 18

    Abstract: Abstract Genes are organized in functional modules (or pathways), thus their action and their dysregulation in diseases may be better understood by the identification of the modules most affected by the disease (aka disease modules, or active subnetworks) ...

    Abstract Abstract Genes are organized in functional modules (or pathways), thus their action and their dysregulation in diseases may be better understood by the identification of the modules most affected by the disease (aka disease modules, or active subnetworks). We describe how an algorithm based on the Core&Peel method is used to detect disease modules in co-expression networks of genes. We first validate Core&Peel for the general task of functional module detection by comparison with 42 methods participating in the Disease Module Identification DREAM challenge. Next, we use four specific disease test cases (colorectal cancer, prostate cancer, asthma, and rheumatoid arthritis), four state-of-the-art algorithms (ModuleDiscoverer, Degas, KeyPathwayMiner, and ClustEx), and several pathway databases to validate the proposed algorithm. Core&Peel is the only method able to find significant associations of the predicted disease module with known validated relevant pathways for all four diseases. Moreover, for the two cancer datasets, Core&Peel detects further eight relevant pathways not discovered by the other methods used in the comparative analysis. Finally, we apply Core&Peel and other methods to explore the transcriptional response of human cells to SARS-CoV-2 infection, finding supporting evidence for drug repositioning efforts at a pre-clinical level.
    Keywords Medicine ; R ; Science ; Q
    Subject code 610
    Language English
    Publishing date 2020-10-01T00:00:00Z
    Publisher Nature Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Online bias-aware disease module mining with ROBUST-Web.

    Sarkar, Suryadipto / Lucchetta, Marta / Maier, Andreas / Abdrabbou, Mohamed M / Baumbach, Jan / List, Markus / Schaefer, Martin H / Blumenthal, David B

    Bioinformatics (Oxford, England)

    2023  Volume 39, Issue 6

    Abstract: Summary: We present ROBUST-Web which implements our recently presented ROBUST disease module mining algorithm in a user-friendly web application. ROBUST-Web features seamless downstream disease module exploration via integrated gene set enrichment ... ...

    Abstract Summary: We present ROBUST-Web which implements our recently presented ROBUST disease module mining algorithm in a user-friendly web application. ROBUST-Web features seamless downstream disease module exploration via integrated gene set enrichment analysis, tissue expression annotation, and visualization of drug-protein and disease-gene links. Moreover, ROBUST-Web includes bias-aware edge costs for the underlying Steiner tree model as a new algorithmic feature, which allow to correct for study bias in protein-protein interaction networks and further improves the robustness of the computed modules.
    Availability and implementation: Web application: https://robust-web.net. Source code of web application and Python package with new bias-aware edge costs: https://github.com/bionetslab/robust-web, https://github.com/bionetslab/robust_bias_aware.
    MeSH term(s) Software ; Algorithms ; Protein Interaction Maps
    Language English
    Publishing date 2023-05-26
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btad345
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Computational Structural Biology of

    Bignon, Emmanuelle / Allega, Maria Francesca / Lucchetta, Marta / Tiberti, Matteo / Papaleo, Elena

    Frontiers in oncology

    2018  Volume 8, Page(s) 272

    Abstract: Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to ... ...

    Abstract Nitric oxide (NO) plays an essential role in redox signaling in normal and pathological cellular conditions. In particular, it is well known to react
    Language English
    Publishing date 2018-08-14
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2018.00272
    Database MEDical Literature Analysis and Retrieval System OnLINE

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