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  1. Article ; Online: Targeted lipidomics data of COVID-19 patients.

    Costanzo, Michele / Caterino, Marianna

    Data in brief

    2023  Volume 48, Page(s) 109089

    Abstract: The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here ... ...

    Abstract The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here presented belong to one of the first lipidomics studies carried out on COVID-19 patients' samples collected during the first pandemic waves. Serum samples were obtained from hospitalized patients with a molecular diagnosis of SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according to pre-established clinical descriptors. The MS-based targeted lipidomic analysis was performed by MRM using a Triple Quad 5500+ mass spectrometer, and the quantitative data were acquired on a panel of 483 lipids. The characterization of this lipidomic dataset has been outlined using multivariate and univariate descriptive statistics and bioinformatics tools.
    Language English
    Publishing date 2023-03-29
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2023.109089
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Targeted lipidomics data of COVID-19 patients

    Michele Costanzo / Marianna Caterino

    Data in Brief, Vol 48, Iss , Pp 109089- (2023)

    2023  

    Abstract: The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here ... ...

    Abstract The dataset provided with this article describes a targeted lipidomics analysis performed on the serum of COVID-19 patients characterized by different degree of severity. As the ongoing pandemic has posed a challenging threat for humanity, the data here presented belong to one of the first lipidomics studies carried out on COVID-19 patients’ samples collected during the first pandemic waves. Serum samples were obtained from hospitalized patients with a molecular diagnosis of SARS-CoV-2 infection detected after nasal swab, and categorized as mild, moderate, or severe according to pre-established clinical descriptors. The MS-based targeted lipidomic analysis was performed by MRM using a Triple Quad 5500+ mass spectrometer, and the quantitative data were acquired on a panel of 483 lipids. The characterization of this lipidomic dataset has been outlined using multivariate and univariate descriptive statistics and bioinformatics tools.
    Keywords Lipidomics ; COVIDomics ; COVID-19 research ; Serum lipidome ; Lipid metabolism ; Lipids mass spectrometry ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Subject code 610
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Proteomics and Metabolomics in Biomedicine.

    Santorelli, Lucia / Caterino, Marianna / Costanzo, Michele

    International journal of molecular sciences

    2023  Volume 24, Issue 23

    Abstract: The technological advances of recent years have significantly enhanced medical discoveries [ ... ]. ...

    Abstract The technological advances of recent years have significantly enhanced medical discoveries [...].
    MeSH term(s) Proteomics ; Metabolomics
    Language English
    Publishing date 2023-11-29
    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/ijms242316913
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Proteomics and Metabolomics in Biomedicine

    Lucia Santorelli / Marianna Caterino / Michele Costanzo

    International Journal of Molecular Sciences, Vol 24, Iss 23, p

    2023  Volume 16913

    Abstract: The technological advances of recent years have significantly enhanced medical discoveries [.] ...

    Abstract The technological advances of recent years have significantly enhanced medical discoveries [.]
    Keywords n/a ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article: Sex-Gender-Based Differences in Metabolic Diseases.

    Campesi, Ilaria / Ruoppolo, Margherita / Franconi, Flavia / Caterino, Marianna / Costanzo, Michele

    Handbook of experimental pharmacology

    2023  Volume 282, Page(s) 241–257

    Abstract: Sexual dimorphism creates different biological and cellular activities and selective regulation mechanisms in males and females, thus generating differential responses in health and disease. In this scenario, the sex itself is a source of physiologic ... ...

    Abstract Sexual dimorphism creates different biological and cellular activities and selective regulation mechanisms in males and females, thus generating differential responses in health and disease. In this scenario, the sex itself is a source of physiologic metabolic disparities that depend on constitutive genetic and epigenetic features that characterize in a specific manner one sex or the other. This has as a direct consequence a huge impact on the metabolic routes that drive the phenotype of an individual. The impact of sex is being clearly recognized also in disease, whereas male and females are more prone to the development of some disorders, or have selective responses to drugs and therapeutic treatments. Actually, very less is known regarding the probable differences guided by sex in the context of inherited metabolic disorders, owing to the scarce consideration of sex in such restricted field, accompanied by an intrinsic bias connected with the rarity of such diseases. Metabolomics technologies have been ultimately developed and adopted for being excellent tools for the investigation of metabolic mechanisms, for marker discovery or monitoring, and for supporting diagnostic procedures of metabolic disorders. Hence, metabolomic approaches can excellently embrace the discovery of sex differences, especially when associated to the outcome or the management of certain inborn errors of the metabolism.
    Language English
    Publishing date 2023-08-02
    Publishing country Germany
    Document type Journal Article
    ISSN 0171-2004
    ISSN 0171-2004
    DOI 10.1007/164_2023_683
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Dynamic Interactomics by Cross-Linking Mass Spectrometry: Mapping the Daily Cell Life in Postgenomic Era.

    Santorelli, Lucia / Caterino, Marianna / Costanzo, Michele

    Omics : a journal of integrative biology

    2022  Volume 26, Issue 12, Page(s) 633–649

    Abstract: The majority of processes that occur in daily cell life are modulated by hundreds to thousands of dynamic protein-protein interactions (PPI). The resulting protein complexes constitute a tangled network that, with its continuous remodeling, builds up ... ...

    Abstract The majority of processes that occur in daily cell life are modulated by hundreds to thousands of dynamic protein-protein interactions (PPI). The resulting protein complexes constitute a tangled network that, with its continuous remodeling, builds up highly organized functional units. Thus, defining the dynamic interactome of one or more proteins allows determining the full range of biological activities these proteins are capable of. This conceptual approach is poised to gain further traction and significance in the current postgenomic era wherein the treatment of severe diseases needs to be tackled at both genomic and PPI levels. This also holds true for COVID-19, a multisystemic disease affecting biological networks across the biological hierarchy from genome to proteome to metabolome. In this overarching context and the current historical moment of the COVID-19 pandemic where systems biology increasingly comes to the fore, cross-linking mass spectrometry (XL-MS) has become highly relevant, emerging as a powerful tool for PPI discovery and characterization. This expert review highlights the advanced XL-MS approaches that provide
    Language English
    Publishing date 2022-11-23
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2030312-9
    ISSN 1557-8100 ; 1536-2310
    ISSN (online) 1557-8100
    ISSN 1536-2310
    DOI 10.1089/omi.2022.0137
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Multidisciplinary Approach in Head and Neck Oncology During COVID-19 Pandemic.

    Lo Giudice, Giorgio / Caterino, Marianna / Rauso, Raffaele / Colella, Giuseppe

    The Journal of craniofacial surgery

    2021  Volume 32, Issue 8, Page(s) e835–e836

    MeSH term(s) COVID-19 ; Head and Neck Neoplasms/epidemiology ; Humans ; Neck ; Pandemics ; SARS-CoV-2
    Language English
    Publishing date 2021-09-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1159501-2
    ISSN 1536-3732 ; 1049-2275
    ISSN (online) 1536-3732
    ISSN 1049-2275
    DOI 10.1097/SCS.0000000000008172
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Direct Current Stimulation of Prefrontal Cortex Is Not Effective in Progressive Supranuclear Palsy: A Randomized Trial.

    Cappiello, Arianna / Abate, Filomena / Adamo, Sarah / Tepedino, Maria Francesca / Donisi, Leandro / Ricciardi, Carlo / Avallone, Anna Rosa / Caterino, Miriam / Cuoco, Sofia / Pellecchia, Maria Teresa / Amboni, Marianna / Barone, Paolo / Erro, Roberto / Picillo, Marina

    Movement disorders : official journal of the Movement Disorder Society

    2024  

    Abstract: Background: Progressive supranuclear palsy (PSP) is a rare 4R-tauopathy. Transcranial direct current stimulation (tDCS) may improve specific symptoms.: Objectives: This randomized, double-blinded, sham-controlled trial aimed at verifying the short-, ... ...

    Abstract Background: Progressive supranuclear palsy (PSP) is a rare 4R-tauopathy. Transcranial direct current stimulation (tDCS) may improve specific symptoms.
    Objectives: This randomized, double-blinded, sham-controlled trial aimed at verifying the short-, mid-, and long-term effect of multiple sessions of anodal tDCS over the left dorsolateral prefrontal cortex (DLPFC) cortex in PSP.
    Methods: Twenty-five patients were randomly assigned to active or sham stimulation (2 mA for 20 minute) for 5 days/week for 2 weeks. Participants underwent assessments at baseline, after the 2-week stimulation protocol, then after 45 days and 3 months from baseline. Primary outcomes were verbal and semantic fluency. The efficacy was verified with analysis of covariance.
    Results: We failed to detect a significant effect of active stimulation on primary outcomes. Stimulation was associated to worsening of specific behavioral complaints.
    Conclusions: A 2-week protocol of anodal left DLPFC tDCS is not effective in PSP. Specific challenges in running symptomatic clinical trials with classic design are highlighted. © 2024 International Parkinson and Movement Disorder Society.
    Language English
    Publishing date 2024-03-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.29774
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Sex differences in the human metabolome.

    Costanzo, Michele / Caterino, Marianna / Sotgiu, Giovanni / Ruoppolo, Margherita / Franconi, Flavia / Campesi, Ilaria

    Biology of sex differences

    2022  Volume 13, Issue 1, Page(s) 30

    Abstract: Background: The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in research or diagnostics contexts. Despite the mounting recognition of the importance of sex ... ...

    Abstract Background: The sexual dimorphism represents one of the triggers of the metabolic disparities between the organisms, advising about wild implications in research or diagnostics contexts. Despite the mounting recognition of the importance of sex consideration in the biomedical fields, the identification of male- and female-specific metabolic signatures has not been achieved.
    Main body: This review pointed the focus on the metabolic differences related to the sex, evidenced by metabolomics studies performed on healthy populations, with the leading aim of understanding how the sex influences the baseline metabolome. The main shared signatures and the apparent dissimilarities between males and females were extracted and highlighted from the metabolome of the most commonly analyzed biological fluids, such as serum, plasma, and urine. Furthermore, the influence of age and the significant interactions between sex and age have been taken into account.
    Conclusions: The recognition of sex patterns in human metabolomics has been defined in diverse biofluids. The detection of sex- and age-related differences in the metabolome of healthy individuals are helpful for translational applications from the bench to the bedside to set targeted diagnostic and prevention approaches in the context of personalized medicine.
    MeSH term(s) Female ; Humans ; Male ; Metabolome ; Metabolomics ; Sex Characteristics
    Language English
    Publishing date 2022-06-15
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2587352-0
    ISSN 2042-6410 ; 2042-6410
    ISSN (online) 2042-6410
    ISSN 2042-6410
    DOI 10.1186/s13293-022-00440-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Proteome data of neuroblastoma cells overexpressing Neuroglobin.

    Costanzo, Michele / Caterino, Marianna / Salvatori, Illari / Manganelli, Valeria / Ferri, Alberto / Misasi, Roberta / Ruoppolo, Margherita

    Data in brief

    2022  Volume 41, Page(s) 107843

    Abstract: In this article, we present data on the proteome of human neuroblastoma cells stably overexpressing Neuroglobin (NGB). The neuroprotective role of NGB is clearly established, nevertheless the related mechanistic processes, which are dependent on NGB ... ...

    Abstract In this article, we present data on the proteome of human neuroblastoma cells stably overexpressing Neuroglobin (NGB). The neuroprotective role of NGB is clearly established, nevertheless the related mechanistic processes, which are dependent on NGB overexpression, are not known. To address this question, we performed shotgun label-free quantification (LFQ) proteomics using an SH-SY5Y cell model of neuroblastoma that overexpresses an NGB-FLAG construct, and wild type cells transfected with an empty vector as control (CTRL). The proteomes from six biological samples per condition were digested using the S-Trap sample preparation followed by LC-MS/MS analysis with a LTQ-Orbitrap XL mass spectrometer. The quantitative analysis was performed using the LFQ algorithm of MaxQuant, leading to 1654 correctly quantified proteins over 2580 identified proteins. Finally, the statistic comparison of the two analyzed groups within Perseus platform identified 178 differential proteins (107 up- and 71 down-regulated). In addition, multivariate statistical analysis was carried out using MetaboAnalyst 5.0 software. MS proteomics data are available via ProteomeXchange with the dataset identifier PXD029012.
    Language English
    Publishing date 2022-01-20
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.107843
    Database MEDical Literature Analysis and Retrieval System OnLINE

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