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  1. Book ; Online: C-Reactive Protein in Age-Related Disorders

    Slevin, Mark / Molins, Blanca

    2019  

    Keywords Medicine ; Immunology ; C-reactive protein ; cell signalling ; inflammation ; angiogenesis ; monomeric C-reactive protein
    Size 1 electronic resource (182 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021231462
    ISBN 9782889457236 ; 2889457230
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Progress in stratified stroke characterization-associated with better diagnosis, accurate prognosis and improved treatment strategies.

    Slevin, Mark

    Brain pathology (Zurich, Switzerland)

    2023  Volume 33, Issue 2, Page(s) e13149

    MeSH term(s) Humans ; Prognosis ; Stroke/diagnosis ; Stroke/therapy ; Stroke/complications ; Biomarkers
    Chemical Substances Biomarkers
    Language English
    Publishing date 2023-01-13
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1051484-3
    ISSN 1750-3639 ; 1015-6305
    ISSN (online) 1750-3639
    ISSN 1015-6305
    DOI 10.1111/bpa.13149
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 3585: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  3. Book: Therapeutic angiogenesis for vascular diseases

    Slevin, Mark

    molecular mechanisms and targeted clinical approaches for the treatment of angiogenic disease

    2011  

    Author's details Mark Slevin, ed
    Language English
    Size XVI, 430 S. : Ill., graph. Darst., 25 cm
    Publisher Springer
    Publishing place Dordrecht u.a.
    Publishing country Netherlands
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT016606596
    ISBN 978-90-481-9494-0 ; 9789048194957 ; 90-481-9494-6 ; 9048194954
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2010 A 6071 order for loan Magazin

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  4. Article: C-reactive Protein: An Inflammatory Biomarker and a Predictor of Neurodegenerative Disease in Patients With Inflammatory Bowel Disease?

    Muresan, Simona / Slevin, Mark

    Cureus

    2024  Volume 16, Issue 4, Page(s) e59009

    Abstract: Inflammatory bowel disease (IBD) refers to two chronic conditions of the digestive tract: ulcerative colitis (UC) and Crohn's disease (CD), representing a progressive inflammatory process that mainly occurs in the gut, with frequent extra-intestinal ... ...

    Abstract Inflammatory bowel disease (IBD) refers to two chronic conditions of the digestive tract: ulcerative colitis (UC) and Crohn's disease (CD), representing a progressive inflammatory process that mainly occurs in the gut, with frequent extra-intestinal manifestations. Even if remission is periodically obtained for some patients, the histological activity and digestive symptoms may continue, maintaining a persistent systemic inflammation that could induce further extra-intestinal complications and contribute to the development of neurodegenerative disease. C-reactive protein (CRP) is an acute-phase reactant that is widely accepted as a dominant serum biomarker in IBD. CRP consequently activates the complement cascade, supports the release of pro-inflammatory cytokines, and the clearance of microbial pathogens. All these processes facilitate further processes, including atherosclerosis and hypercoagulability, alteration of the intestinal microbiota, and the increased permeability of the intestinal barrier for neurotoxic substances produced by gut microorganisms, due to the presence of a high level of lipopolysaccharides. For IBD, the connection between intestinal inflammation and central nervous system inflammation could be explained through the activity of the vagus nerve, a carrier of cytokines, CRP, and toxic materials to the brain, potentially inducing vascular lesions and damage of the glial vascular unit, with further risk for degeneration within the central nervous system. CRP is a key marker for IBD pathogenesis and is able to dissociate into its monomeric form, mCRP, on contact with activated cell and tissue components via the systemic circulation. We hypothesize that the chronic inflammatory process within IBD could initiate neuroinflammation and neurodegeneration, and therefore, further investigation of the significance of chronically raised plasma of CRP and mCRP in patients with IBD is warranted, as it may represent a critical predictive factor associated with a later neurodegenerative risk. Any future initiative aimed at pharmacologic modulation of CRP (e.g., blocking CRP-mCRP dissociation), could represent a new therapeutic approach protecting against intestinal inflammation and concomitantly reducing the risk of neuroinflammation, neurodegeneration, and cognitive decline.
    Language English
    Publishing date 2024-04-25
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.59009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Editorial: C-Reactive Protein in Age-Related Disorders, Volume II.

    Slevin, Mark / Molins, Blanca

    Frontiers in immunology

    2022  Volume 13, Page(s) 876431

    Language English
    Publishing date 2022-03-08
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2022.876431
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Monomeric C-reactive protein: a link between chronic inflammation and neurodegeneration?

    Arnaut, Nicoleta / Pastorello, Ylenia / Slevin, Mark

    Neural regeneration research

    2023  Volume 19, Issue 8, Page(s) 1643–1644

    Language English
    Publishing date 2023-12-11
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.389640
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: A meta-analysis investigating the relationship between inflammation in autoimmune disease, elevated CRP, and the risk of dementia.

    Cooper, Joseph / Pastorello, Ylenia / Slevin, Mark

    Frontiers in immunology

    2023  Volume 14, Page(s) 1087571

    Abstract: Alzheimer's Disease (AD) represents the most common type of dementia and is becoming a steadily increasing challenge for health systems globally. Inflammation is developing as the main focus of research into Alzheimer's disease and has been demonstrated ... ...

    Abstract Alzheimer's Disease (AD) represents the most common type of dementia and is becoming a steadily increasing challenge for health systems globally. Inflammation is developing as the main focus of research into Alzheimer's disease and has been demonstrated to be a major driver of the pathologies associated with AD. This evidence introduces an interesting research question, whether chronic inflammation due to pathologies such as inflammatory bowel disease (IBD) and rheumatoid arthritis (RA) could lead to a higher risk of developing dementia. In both IBD and RA, increased levels of the inflammatory biomarker C-reactive protein (CRP) can be highlighted, the latter being directly implicated in neuroinflammation and AD. In this meta-analysis both the association between chronic inflammatory diseases and elevated levels of CRP during midlife were investigated to examine if they correlated with an augmented risk of dementia. Moreover, the association between increased CRP and modifications in the permeability of the Blood Brain Barrier (BBB) in the presence of CRP is explored. The results displayed that the odds ratio for IBD and dementia was 1.91 [1.15-3.15], for RA it was 1.90 [1.09-3.32] following sensitivity analysis and for CRP it was 1.62 [1.22-2.15]. These results demonstrate a higher risk of dementia in patients presenting chronic inflammation and that exists an independent association with high CRP in midlife. This paper builds on published research that suggest a critical role for CRP both in stroke and AD and provides an analysis on currently published research on multiple diseases (IBD and RA) in which CRP is raised as well as chronically elevated. CRP and the associated risk of dementia and further research indicated that the monomeric form of CRP can infiltrate the BBB/be released from damaged micro-vessels to access the brain. This meta-analysis provides first-time evidence that chronic elevation of CRP in autoimmune diseases is directly associated with an increased risk of later development of Alzheimer's disease. Therefore, greater priority should be provided to the effective control of inflammation in patients with chronic inflammatory or autoimmune conditions and further long-term assessment of circulating CRP might inform of an individual's relative risk of developing dementia.
    MeSH term(s) Humans ; Alzheimer Disease ; Inflammation ; Autoimmune Diseases ; Arthritis, Rheumatoid ; C-Reactive Protein/metabolism ; Inflammatory Bowel Diseases
    Chemical Substances C-Reactive Protein (9007-41-4)
    Language English
    Publishing date 2023-01-27
    Publishing country Switzerland
    Document type Meta-Analysis ; Journal Article ; Review
    ZDB-ID 2606827-8
    ISSN 1664-3224 ; 1664-3224
    ISSN (online) 1664-3224
    ISSN 1664-3224
    DOI 10.3389/fimmu.2023.1087571
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: p38-MAPK and CDK5, signaling pathways in neuroinflammation: a potential therapeutic intervention in Alzheimer's disease?

    Viorel, Vlad Ionut / Pastorello, Ylenia / Bajwa, Nosherwan / Slevin, Mark

    Neural regeneration research

    2023  Volume 19, Issue 8, Page(s) 1649–1650

    Language English
    Publishing date 2023-12-11
    Publishing country India
    Document type Journal Article
    ZDB-ID 2388460-5
    ISSN 1876-7958 ; 1673-5374
    ISSN (online) 1876-7958
    ISSN 1673-5374
    DOI 10.4103/1673-5374.389645
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: A Quantum-Enhanced Precision Medicine Application to Support Data-Driven Clinical Decisions for the Personalized Treatment of Advanced Knee Osteoarthritis: The Development and Preliminary Validation of precisionKNEE_QNN.

    Heidari, Nima / Olgiati, Stefano / Meloni, Davide / Slevin, Mark / Noorani, Ali / Pirovano, Federico / Azamfirei, Leonard

    Cureus

    2024  Volume 16, Issue 1, Page(s) e52093

    Abstract: Background Quantum computing and quantum machine learning (QML) are promising experimental technologies that can improve precision medicine applications by reducing the computational complexity of algorithms driven by big, unstructured, real-world data. ... ...

    Abstract Background Quantum computing and quantum machine learning (QML) are promising experimental technologies that can improve precision medicine applications by reducing the computational complexity of algorithms driven by big, unstructured, real-world data. The clinical problem of knee osteoarthritis is that, although some novel therapies are safe and effective, the response is variable, and defining the characteristics of an individual who will respond remains a challenge. In this study, we tested a quantum neural network (QNN) application to support precision data-driven clinical decisions to select personalized treatments for advanced knee osteoarthritis. Methodology After obtaining patients' consent and Research Ethics Committee approval, we collected the clinicodemographic data before and after the treatment from 170 patients eligible for knee arthroplasty (Kellgren-Lawrence grade ≥3, Oxford Knee Score (OKS) ≤27, age ≥64 years, and idiopathic aetiology of arthritis) treated over a two-year period with a single injection of microfragmented fat. Gender classes were balanced (76 males and 94 females) to mitigate gender bias. A patient with an improvement ≥7 OKS was considered a responder. We trained our QNN classifier on a randomly selected training subset of 113 patients to classify responders from non-responders (73 responders and 40 non-responders) in pain and function at one year. Outliers were hidden from the training dataset but not from the validation set. Results We tested our QNN classifier on a randomly selected test subset of 57 patients (34 responders, 23 non-responders) including outliers. The no information rate was 0.59. Our application correctly classified 28 responders out of 34 and 6 non-responders out of 23 (sensitivity = 0.82, specificity = 0.26, F1 Statistic = 0.71). The positive and negative likelihood ratios were 1.11 and 0.68, respectively. The diagnostic odds ratio was 2. Conclusions Preliminary results on a small validation dataset showed that QML applied to data-driven clinical decisions for the personalized treatment of advanced knee osteoarthritis is a promising technology to reduce computational complexity and improve prognostic performance. Our results need further research validation with larger, real-world unstructured datasets, as well as clinical validation with an artificial intelligence clinical trial to test model efficacy, safety, clinical significance, and relevance at a public health level.
    Language English
    Publishing date 2024-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.52093
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: A Gender-Bias-Mitigated, Data-Driven Precision Medicine System to Assist in the Selection of Biological Treatments of Grade 3 and 4 Knee Osteoarthritis: Development and Preliminary Validation of precisionKNEE.

    Heidari, Nima / Olgiati, Stefano / Meloni, Davide / Parkin, James / Fish, Brady / Slevin, Mark / Azamfirei, Leonard

    Cureus

    2024  Volume 16, Issue 3, Page(s) e55832

    Abstract: Objective To identify key variables predictive of patient responses to microfragmented adipose tissue (MFAT) treatment in knee osteoarthritis (KOA) and evaluate its potential to delay or mitigate the need for total knee replacement (TKR). Methods We ... ...

    Abstract Objective To identify key variables predictive of patient responses to microfragmented adipose tissue (MFAT) treatment in knee osteoarthritis (KOA) and evaluate its potential to delay or mitigate the need for total knee replacement (TKR). Methods We utilised a dataset comprising 329 patients treated with MFAT for KOA, incorporating variables such as gender, age, BMI, arthritic aetiology, radiological grade, and Oxford Knee Scores (OKS) pre- and post-treatment. We employed random forest regressors for model training and testing, with gender bias mitigation and outlier detection to enhance prediction accuracy. Model performance was assessed through root mean squared error (RMSE) and mean absolute error (MAE), with further validation in a TKR-suitable patient subset. Results The model achieved a test RMSE of 6.72 and an MAE of 5.38, reflecting moderate predictive accuracy across the patient cohort. Stratification by gender revealed no statistically significant differences between actual and predicted OKS improvements (p-values: males = 0.93, females = 0.92). For the subset of patients suitable for TKR, the model presented an increased RMSE of 9.77 and MAE of 7.81, indicating reduced accuracy in this group. The decision tree analysis identified pre-operative OKS, radiological grade, and gender as significant predictors of post-treatment outcomes, with pre-operative OKS being the most critical determinant. Patients with lower pre-operative OKS showed varying responses based on radiological severity and gender, suggesting a nuanced interaction between these factors in determining treatment efficacy. Conclusion This study highlights the potential of MFAT as a non-surgical alternative for KOA treatment, emphasising the importance of personalised patient assessments. While promising, the predictive model warrants further refinement and validation with a larger, more diverse dataset to improve its utility in clinical decision-making for KOA management.
    Language English
    Publishing date 2024-03-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2747273-5
    ISSN 2168-8184
    ISSN 2168-8184
    DOI 10.7759/cureus.55832
    Database MEDical Literature Analysis and Retrieval System OnLINE

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