LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 125

Search options

  1. Article ; Online: Proteomic aptamer analysis reveals serum markers that characterize preclinical systemic sclerosis (SSc) patients at risk for progression toward definite SSc.

    Bellocchi, Chiara / Assassi, Shervin / Lyons, Marka / Marchini, Maurizio / Mohan, Chandra / Santaniello, Alessandro / Beretta, Lorenzo

    Arthritis research & therapy

    2023  Volume 25, Issue 1, Page(s) 15

    Abstract: Background: The study of molecular mechanisms characterizing disease progression may be relevant to get insights into systemic sclerosis (SSc) pathogenesis and to intercept patients at very early stage. We aimed at investigating the proteomic profile of ...

    Abstract Background: The study of molecular mechanisms characterizing disease progression may be relevant to get insights into systemic sclerosis (SSc) pathogenesis and to intercept patients at very early stage. We aimed at investigating the proteomic profile of preclinical systemic sclerosis (PreSSc) via a discovery/validation two-step approach.
    Methods: SOMAcan aptamer-based analysis was performed on a serum sample of 13 PreSSc (discovery cohort) according to 2001 LeRoy and Medsger criteria (characterized solely by Raynaud phenomenon plus a positive nailfold capillaroscopy and SSc-specific antibodies without any other sign of definite disease) and 8 healthy controls (HCs) age, gender, and ethnicity matched. Prospective data were available up to 4±0.6 years to determine the progression to definite SSc according to the EULAR/ACR 2013 classification criteria. In proteins with relative fluorescence units (RFU) > |1.5|-fold vs HCs values, univariate analysis was conducted via bootstrap aggregating models to determine the predicting accuracy (progression vs non-progression) of categorized baseline protein values. Gene Ontologies (GO terms) and Reactome terms of significant proteins at the adjusted 0.05 threshold were explored. Significant proteins from the discovery cohort were finally validated via ELISAs in an independent validation cohort of 50 PreSSc with clinical prospective data up to 5 years. Time-to-event analysis for interval-censored data was used to evaluate disease progression.
    Results: In the discovery cohort, 286 out of 1306 proteins analyzed via SomaScan, were differentially expressed versus HCs. Ten proteins were significantly associated with disease progression; analysis through GO and Reactome showed differentially enriched pathways involving angiogenesis, endothelial cell chemotaxis, and endothelial cell chemotaxis to fibroblast growth factor (FGF). In the validation cohort, endostatin (HR=10.23, CI95=2.2-47.59, p=0.003) was strongly associated with disease progression, as well as bFGF (HR=0.84, CI95=0.709-0.996, p=0.045) and PAF-AHβ (HR=0.372, CI95=0.171-0.809, p=0.013) CONCLUSIONS: A distinct protein profile characterized PreSSc from HCs and proteins associated with hypoxia, vasculopathy, and fibrosis regulation are linked with the progression from preclinical to definite SSc. These proteins, in particular endostatin, can be regarded both as markers of severity and molecules with pathogenetic significance as well as therapeutic targets.
    MeSH term(s) Humans ; Biomarkers ; Disease Progression ; Endostatins ; Microscopic Angioscopy ; Prospective Studies ; Proteomics ; Scleroderma, Systemic/blood ; Scleroderma, Systemic/genetics ; Scleroderma, Systemic/metabolism ; Scleroderma, Systemic/pathology
    Chemical Substances Biomarkers ; Endostatins
    Language English
    Publishing date 2023-01-27
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2107602-9
    ISSN 1478-6362 ; 1478-6354
    ISSN (online) 1478-6362
    ISSN 1478-6354
    DOI 10.1186/s13075-023-02989-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Letter to the editor: Immunomodulation by phosphodiesterase-4 inhibitor in COVID-19 patients.

    Santaniello, Alessandro / Vigone, Barbara / Beretta, Lorenzo

    Metabolism: clinical and experimental

    2020  Volume 110, Page(s) 154300

    MeSH term(s) Betacoronavirus ; COVID-19 ; Coronavirus Infections ; Cyclic Nucleotide Phosphodiesterases, Type 4 ; Cytokines ; Humans ; Immunomodulation ; Pandemics ; Phosphodiesterase 4 Inhibitors ; Pneumonia, Viral ; SARS-CoV-2
    Chemical Substances Cytokines ; Phosphodiesterase 4 Inhibitors ; Cyclic Nucleotide Phosphodiesterases, Type 4 (EC 3.1.4.17)
    Keywords covid19
    Language English
    Publishing date 2020-06-20
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 80230-x
    ISSN 1532-8600 ; 0026-0495
    ISSN (online) 1532-8600
    ISSN 0026-0495
    DOI 10.1016/j.metabol.2020.154300
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Letter to the editor

    Santaniello, Alessandro / Vigone, Barbara / Beretta, Lorenzo

    Metabolism

    Immunomodulation by phosphodiesterase-4 inhibitor in COVID-19 patients

    2020  Volume 110, Page(s) 154300

    Keywords Endocrinology, Diabetes and Metabolism ; Endocrinology ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    ZDB-ID 80230-x
    ISSN 1532-8600 ; 0026-0495
    ISSN (online) 1532-8600
    ISSN 0026-0495
    DOI 10.1016/j.metabol.2020.154300
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article ; Online: Systematic Review and Meta-Analysis of the Occurrence of ESKAPE Bacteria Group in Dogs, and the Related Zoonotic Risk in Animal-Assisted Therapy, and in Animal-Assisted Activity in the Health Context.

    Santaniello, Antonio / Sansone, Mario / Fioretti, Alessandro / Menna, Lucia Francesca

    International journal of environmental research and public health

    2020  Volume 17, Issue 9

    Abstract: Animal-assisted interventions are widely implemented in different contexts worldwide. Particularly, animal-assisted therapies and animal-assisted activities are often implemented in hospitals, rehabilitation centers, and other health facilities. These ... ...

    Abstract Animal-assisted interventions are widely implemented in different contexts worldwide. Particularly, animal-assisted therapies and animal-assisted activities are often implemented in hospitals, rehabilitation centers, and other health facilities. These interventions bring several benefits to patients but can also expose them to the risk of infection with potentially zoonotic agents. The dog is the main animal species involved used in these interventions. Therefore, we aimed at collecting data regarding the occurrence of the pathogens ESKAPE (
    MeSH term(s) Acinetobacter baumannii ; Animal Assisted Therapy ; Animals ; Anti-Bacterial Agents ; Bacterial Infections/veterinary ; Dogs/microbiology ; Enterobacter ; Enterococcus faecium ; Health Facilities ; Humans ; Klebsiella pneumoniae ; Pseudomonas aeruginosa ; Staphylococcus aureus ; Zoonoses/microbiology ; Zoonoses/transmission
    Chemical Substances Anti-Bacterial Agents
    Language English
    Publishing date 2020-05-08
    Publishing country Switzerland
    Document type Journal Article ; Meta-Analysis ; Systematic Review
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph17093278
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: The Research of Standardized Protocols for Dog Involvement in Animal-Assisted Therapy: A Systematic Review.

    Santaniello, Antonio / Garzillo, Susanne / Cristiano, Serena / Fioretti, Alessandro / Menna, Lucia Francesca

    Animals : an open access journal from MDPI

    2021  Volume 11, Issue 9

    Abstract: Dogs are considered the most important species involved in animal-assisted therapy (AAT), and the scientific literature focuses on the benefits linked to the involvement of dogs in various therapeutic areas. In this study, we carried out a systematic ... ...

    Abstract Dogs are considered the most important species involved in animal-assisted therapy (AAT), and the scientific literature focuses on the benefits linked to the involvement of dogs in various therapeutic areas. In this study, we carried out a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, exploring the scientific literature from the last 5 years (2016-2021) on three databases (PubMed, Scopus, and Web of Science) to highlight the characteristics of the dogs involved in AATs. Based on the scientific literature relevant to such dogs, we considered different parameters (i.e., number, age, sex, breed, temperament, methods of choice and training, health status, research goals, and activities with dogs) to include studies in our paper. After screening 4331 papers identified on the searched databases, we selected 38 articles that met the inclusion criteria. Analysis of the included articles showed that the characteristics of the dogs were neglected. Our findings indicated a lack of information about the dogs, as well as the absence of standardized and univocal criteria for dog selection, training programs, and health protocols.
    Language English
    Publishing date 2021-09-02
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani11092576
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: The Research of Standardized Protocols for Dog Involvement in Animal-Assisted Therapy: A Systematic Review

    Santaniello, Antonio / Garzillo, Susanne / Cristiano, Serena / Fioretti, Alessandro / Menna, Lucia Francesca

    Animals. 2021 Sept. 02, v. 11, no. 9

    2021  

    Abstract: Dogs are considered the most important species involved in animal-assisted therapy (AAT), and the scientific literature focuses on the benefits linked to the involvement of dogs in various therapeutic areas. In this study, we carried out a systematic ... ...

    Abstract Dogs are considered the most important species involved in animal-assisted therapy (AAT), and the scientific literature focuses on the benefits linked to the involvement of dogs in various therapeutic areas. In this study, we carried out a systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, exploring the scientific literature from the last 5 years (2016–2021) on three databases (PubMed, Scopus, and Web of Science) to highlight the characteristics of the dogs involved in AATs. Based on the scientific literature relevant to such dogs, we considered different parameters (i.e., number, age, sex, breed, temperament, methods of choice and training, health status, research goals, and activities with dogs) to include studies in our paper. After screening 4331 papers identified on the searched databases, we selected 38 articles that met the inclusion criteria. Analysis of the included articles showed that the characteristics of the dogs were neglected. Our findings indicated a lack of information about the dogs, as well as the absence of standardized and univocal criteria for dog selection, training programs, and health protocols.
    Keywords dogs ; health status ; meta-analysis ; systematic review ; temperament
    Language English
    Dates of publication 2021-0902
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani11092576
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  7. Article ; Online: Novel biomarkers for prediction of outcome and therapeutic response in juvenile idiopathic arthritis.

    Rosina, Silvia / Natoli, Valentina / Santaniello, Stefania / Trincianti, Chiara / Consolaro, Alessandro / Ravelli, Angelo

    Expert review of clinical immunology

    2021  Volume 17, Issue 8, Page(s) 853–870

    Abstract: Introduction: The search for biomarkers in juvenile idiopathic arthritis (JIA) is a promising and rapidly expanding field of investigation. The biomarkers identified so far may help to dissect the clinical heterogeneity of the illness, measure the level ...

    Abstract Introduction: The search for biomarkers in juvenile idiopathic arthritis (JIA) is a promising and rapidly expanding field of investigation. The biomarkers identified so far may help to dissect the clinical heterogeneity of the illness, measure the level of disease activity, predict clinical remission, relapse, response to medications, course over time, complications, and forestall disease flares.
    Areas covered: We provide a summary of the most recent advances in the development and application of biomarkers in JIA. We performed a PubMed search for significant articles combining predetermined keywords related to biomarkers in non-systemic and systemic JIA, chronic uveitis, and macrophage activation syndrome (MAS). The biomarkers available or under study are presented and discussed separately for non-systemic and systemic subtypes and for the two main disease complications, uveitis and MAS.
    Expert opinion: The incorporation of valid and reliable biomarkers in standard clinical care may help to design better patient-tailored treatment regimens and to improve the therapeutic strategies based on the treat-to-target approach. The establishment of biomarkers that predict the risk of disease flare may lead to define the optimal modalities for treatment discontinuation after the achievement of clinical remission.
    MeSH term(s) Arthritis, Juvenile/complications ; Arthritis, Juvenile/diagnosis ; Arthritis, Juvenile/therapy ; Biomarkers ; Humans ; Macrophage Activation Syndrome ; Uveitis/drug therapy
    Chemical Substances Biomarkers
    Language English
    Publishing date 2021-07-15
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2274260-8
    ISSN 1744-8409 ; 1744-666X
    ISSN (online) 1744-8409
    ISSN 1744-666X
    DOI 10.1080/1744666X.2021.1945441
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Renal Safety of Liposomal Amphotericin B After Liver Transplantation.

    Perrella, Alessandro / Esposito, Ciro / Giuliani, Antonio / Migliaccio, Carla / Granato, Giorgia / Santaniello, Walter / Vennarecci, Giovanni

    Progress in transplantation (Aliso Viejo, Calif.)

    2020  Volume 30, Issue 2, Page(s) 179–181

    MeSH term(s) Amphotericin B/therapeutic use ; Antifungal Agents/therapeutic use ; Caspofungin/therapeutic use ; Fungemia/drug therapy ; Humans ; Liver Transplantation ; Patient Safety ; Retrospective Studies
    Chemical Substances Antifungal Agents ; liposomal amphotericin B ; Amphotericin B (7XU7A7DROE) ; Caspofungin (F0XDI6ZL63)
    Language English
    Publishing date 2020-04-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2864264-8
    ISSN 2164-6708 ; 1526-9248
    ISSN (online) 2164-6708
    ISSN 1526-9248
    DOI 10.1177/1526924820913504
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Nearest neighbor imputation algorithms: a critical evaluation.

    Beretta, Lorenzo / Santaniello, Alessandro

    BMC medical informatics and decision making

    2016  Volume 16 Suppl 3, Page(s) 74

    Abstract: Background: Nearest neighbor (NN) imputation algorithms are efficient methods to fill in missing data where each missing value on some records is replaced by a value obtained from related cases in the whole set of records. Besides the capability to ... ...

    Abstract Background: Nearest neighbor (NN) imputation algorithms are efficient methods to fill in missing data where each missing value on some records is replaced by a value obtained from related cases in the whole set of records. Besides the capability to substitute the missing data with plausible values that are as close as possible to the true value, imputation algorithms should preserve the original data structure and avoid to distort the distribution of the imputed variable. Despite the efficiency of NN algorithms little is known about the effect of these methods on data structure.
    Methods: Simulation on synthetic datasets with different patterns and degrees of missingness were conducted to evaluate the performance of NN with one single neighbor (1NN) and with k neighbors without (kNN) or with weighting (wkNN) in the context of different learning frameworks: plain set, reduced set after ReliefF filtering, bagging, random choice of attributes, bagging combined with random choice of attributes (Random-Forest-like method).
    Results: Whatever the framework, kNN usually outperformed 1NN in terms of precision of imputation and reduced errors in inferential statistics, 1NN was however the only method capable of preserving the data structure and data were distorted even when small values of k neighbors were considered; distortion was more severe for resampling schemas.
    Conclusions: The use of three neighbors in conjunction with ReliefF seems to provide the best trade-off between imputation error and preservation of the data structure. The very same conclusions can be drawn when imputation experiments were conducted on the single proton emission computed tomography (SPECTF) heart dataset after introduction of missing data completely at random.
    MeSH term(s) Algorithms ; Coronary Artery Disease/diagnostic imaging ; Data Interpretation, Statistical ; Humans ; Models, Statistical ; Tomography, Emission-Computed, Single-Photon/statistics & numerical data
    Language English
    Publishing date 2016-07-25
    Publishing country England
    Document type Journal Article
    ISSN 1472-6947
    ISSN (online) 1472-6947
    DOI 10.1186/s12911-016-0318-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top