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  1. Article ; Online: Immunoinflammatory Background of Neuronal Damage in Stroke.

    Tuttolomondo, Antonino

    International journal of molecular sciences

    2023  Volume 24, Issue 10

    Abstract: Ischemic stroke is caused by a reduction in blood flow to the brain and is a major cause of mortality and disability worldwide [ ... ]. ...

    Abstract Ischemic stroke is caused by a reduction in blood flow to the brain and is a major cause of mortality and disability worldwide [...].
    MeSH term(s) Humans ; Brain Ischemia ; Stroke ; Brain ; Ischemic Stroke
    Language English
    Publishing date 2023-05-11
    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/ijms24108619
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Drug-related falls and thraumatic brain injury in very old patients: antithrombotic drugs as new potential culpruit factors.

    Tuttolomondo, Antonino

    Internal and emergency medicine

    2022  Volume 17, Issue 5, Page(s) 1261–1262

    MeSH term(s) Brain Injuries ; Fibrinolytic Agents/adverse effects ; Humans ; Risk Factors
    Chemical Substances Fibrinolytic Agents
    Language English
    Publishing date 2022-06-12
    Publishing country Italy
    Document type Journal Article ; Comment
    ZDB-ID 2454173-4
    ISSN 1970-9366 ; 1828-0447
    ISSN (online) 1970-9366
    ISSN 1828-0447
    DOI 10.1007/s11739-022-03010-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Ischemic Stroke Pathogenesis: Genetics, Epigenetics and Inflammation.

    Tuttolomondo, Antonino

    Current pharmaceutical design

    2020  Volume 26, Issue 34, Page(s) 4207–4208

    MeSH term(s) Brain Ischemia/genetics ; Epigenesis, Genetic ; Humans ; Inflammation/genetics ; Ischemic Stroke ; Stroke/genetics
    Language English
    Publishing date 2020-10-14
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 1304236-1
    ISSN 1873-4286 ; 1381-6128
    ISSN (online) 1873-4286
    ISSN 1381-6128
    DOI 10.2174/138161282634200831110542
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Treatment of Lysosomal Storage Disorders (LSDs).

    Tuttolomondo, Antonino

    Current pharmaceutical design

    2020  Volume 26, Issue 40, Page(s) 5087–5088

    MeSH term(s) Humans ; Lysosomal Storage Diseases/drug therapy ; Lysosomes
    Language English
    Publishing date 2020-12-03
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 1304236-1
    ISSN 1873-4286 ; 1381-6128
    ISSN (online) 1873-4286
    ISSN 1381-6128
    DOI 10.2174/138161282640201111114453
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Exosomal miRNAs as Biomarkers of Ischemic Stroke.

    Ciaccio, Anna Maria / Tuttolomondo, Antonino

    Brain sciences

    2023  Volume 13, Issue 12

    Abstract: Exosomes are small lipid bilayer membrane particles released from all living cells into the extracellular environment. They carry several molecules and have a critical role in cell-cell communication under physiological and pathological conditions. In ... ...

    Abstract Exosomes are small lipid bilayer membrane particles released from all living cells into the extracellular environment. They carry several molecules and have a critical role in cell-cell communication under physiological and pathological conditions. In recent decades, exosomes, and especially their cargo, have emerged as a promising tool for several clinical conditions. However, the literature has become increasingly unambiguous in defining the role of exosomes in chronic cerebrovascular diseases. Because they can pass through the blood-brain barrier, they have great potential to reflect intracerebral changes. They can, thus, provide valuable insight into the mechanisms of central nervous system diseases. The purpose of this review is to describe the literature on the role of exosomal miRNA, which represents the most widely investigated exosomal biomarker, in strokes. First, we provide an overview of exosomes, from biology to isolation and characterization. Then, we describe the relationship between exosomes and stroke pathogenesis. Finally, we summarize the human studies evaluating exosomal miRNA biomarkers of stroke. Although the collective literature supports the potential use of exosomal miRNA as biomarkers of ischemic stroke, there are still several limitations hampering their introduction into clinical practice.
    Language English
    Publishing date 2023-11-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2651993-8
    ISSN 2076-3425
    ISSN 2076-3425
    DOI 10.3390/brainsci13121647
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Molecular Research on Migraine: From Pathogenesis to Treatment.

    Tuttolomondo, Antonino / Simonetta, Irene

    International journal of molecular sciences

    2023  Volume 24, Issue 10

    Abstract: Migraine is a common, multifactorial, disabling, recurrent, hereditary, neurovascular headache disorder [ ... ]. ...

    Abstract Migraine is a common, multifactorial, disabling, recurrent, hereditary, neurovascular headache disorder [...].
    MeSH term(s) Humans ; Migraine Disorders/genetics ; Migraine Disorders/therapy ; Headache
    Language English
    Publishing date 2023-05-12
    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/ijms24108681
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Mediterranean Diet, Its Microbiome Connections, and Cardiovascular Health: A Narrative Review.

    Abrignani, Vincenzo / Salvo, Andrea / Pacinella, Gaetano / Tuttolomondo, Antonino

    International journal of molecular sciences

    2024  Volume 25, Issue 9

    Abstract: The Mediterranean diet (MD), rich in minimally processed plant foods and in monounsaturated fats but low in saturated fats, meat, and dairy products, represents one of the most studied diets for cardiovascular health. It has been shown, from both ... ...

    Abstract The Mediterranean diet (MD), rich in minimally processed plant foods and in monounsaturated fats but low in saturated fats, meat, and dairy products, represents one of the most studied diets for cardiovascular health. It has been shown, from both observational and randomized controlled trials, that MD reduces body weight, improves cardiovascular disease surrogates such as waist-to-hip ratios, lipids, and inflammation markers, and even prevents the development of fatal and nonfatal cardiovascular disease, diabetes, obesity, and other diseases. However, it is unclear whether it offers cardiovascular benefits from its individual components or as a whole. Furthermore, limitations in the methodology of studies and meta-analyses have raised some concerns over its potential cardiovascular benefits. MD is also associated with characteristic changes in the intestinal microbiota, mediated through its constituents. These include increased growth of species producing short-chain fatty acids, such as
    MeSH term(s) Humans ; Diet, Mediterranean ; Gastrointestinal Microbiome ; Cardiovascular Diseases/prevention & control ; Cardiovascular Diseases/microbiology ; Cardiovascular Diseases/etiology
    Language English
    Publishing date 2024-04-30
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms25094942
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Exploring the relationship between nocturnal hypertension and atrial fibrillation recurrence.

    Di Raimondo, Domenico / Pirera, Edoardo / Tuttolomondo, Antonino

    Hypertension research : official journal of the Japanese Society of Hypertension

    2024  

    Language English
    Publishing date 2024-05-08
    Publishing country England
    Document type Editorial ; Comment
    ZDB-ID 1175297-x
    ISSN 1348-4214 ; 0916-9636
    ISSN (online) 1348-4214
    ISSN 0916-9636
    DOI 10.1038/s41440-024-01694-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Editorial: Genetics and Gene Therapy of Lysosomial Storage Disorders.

    Tuttolomondo, Antonino

    Current gene therapy

    2018  Volume 18, Issue 2, Page(s) 66–67

    MeSH term(s) Animals ; Bone Marrow Transplantation ; Disease Models, Animal ; Enzyme Replacement Therapy ; Genetic Therapy ; Humans ; Lysosomal Storage Diseases/genetics ; Lysosomal Storage Diseases/therapy ; Lysosomes/genetics ; Lysosomes/pathology
    Language English
    Publishing date 2018-05-08
    Publishing country United Arab Emirates
    Document type Editorial
    ZDB-ID 2146187-9
    ISSN 1875-5631 ; 1566-5232
    ISSN (online) 1875-5631
    ISSN 1566-5232
    DOI 10.2174/156652321802180507170539
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Machine learning applications in stroke medicine: advancements, challenges, and future prospectives.

    Daidone, Mario / Ferrantelli, Sergio / Tuttolomondo, Antonino

    Neural regeneration research

    2023  Volume 19, Issue 4, Page(s) 769–773

    Abstract: Stroke is a leading cause of disability and mortality worldwide, necessitating the development of advanced technologies to improve its diagnosis, treatment, and patient outcomes. In recent years, machine learning techniques have emerged as promising ... ...

    Abstract Stroke is a leading cause of disability and mortality worldwide, necessitating the development of advanced technologies to improve its diagnosis, treatment, and patient outcomes. In recent years, machine learning techniques have emerged as promising tools in stroke medicine, enabling efficient analysis of large-scale datasets and facilitating personalized and precision medicine approaches. This abstract provides a comprehensive overview of machine learning's applications, challenges, and future directions in stroke medicine. Recently introduced machine learning algorithms have been extensively employed in all the fields of stroke medicine. Machine learning models have demonstrated remarkable accuracy in imaging analysis, diagnosing stroke subtypes, risk stratifications, guiding medical treatment, and predicting patient prognosis. Despite the tremendous potential of machine learning in stroke medicine, several challenges must be addressed. These include the need for standardized and interoperable data collection, robust model validation and generalization, and the ethical considerations surrounding privacy and bias. In addition, integrating machine learning models into clinical workflows and establishing regulatory frameworks are critical for ensuring their widespread adoption and impact in routine stroke care. Machine learning promises to revolutionize stroke medicine by enabling precise diagnosis, tailored treatment selection, and improved prognostication. Continued research and collaboration among clinicians, researchers, and technologists are essential for overcoming challenges and realizing the full potential of machine learning in stroke care, ultimately leading to enhanced patient outcomes and quality of life. This review aims to summarize all the current implications of machine learning in stroke diagnosis, treatment, and prognostic evaluation. At the same time, another purpose of this paper is to explore all the future perspectives these techniques can provide in combating this disabling disease.
    Language English
    Publishing date 2023-10-16
    Publishing country India
    Document type Journal Article ; Review
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.382228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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