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  • 1
    In: Journal of Depression and Anxiety Disorders, sPage.direcT, Vol. 4, No. 1 ( 2022-12-31)
    Type of Medium: Online Resource
    ISSN: 2643-5993
    URL: Issue
    Language: Unknown
    Publisher: sPage.direcT
    Publication Date: 2022
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  • 2
    Online Resource
    Online Resource
    Informa UK Limited ; 2008
    In:  Nutrition and Cancer Vol. 60, No. 2 ( 2008-3), p. 259-266
    In: Nutrition and Cancer, Informa UK Limited, Vol. 60, No. 2 ( 2008-3), p. 259-266
    Type of Medium: Online Resource
    ISSN: 0163-5581
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2008
    detail.hit.zdb_id: 424433-3
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  • 3
    In: Frontiers in Immunology, Frontiers Media SA, Vol. 12 ( 2021-5-7)
    Abstract: Non-alcoholic fatty liver disease (NAFLD) is the most common liver disease with no therapeutic consensus. Oxidation and inflammation are hallmarks in the progression of this complex disease, which also involves interactions between the genetic background and the environment. Mastiha is a natural nutritional supplement known to possess antioxidant and anti-inflammatory properties. This study investigated how a 6-month Mastiha supplementation (2.1 g/day) could impact the antioxidant and inflammatory status of patients with NAFLD, and whether genetic variants significantly mediate these effects. We recruited 98 patients with obesity (BMI ≥ 30 kg/m 2 ) and NAFLD and randomly allocated them to either the Mastiha or the placebo group for 6 months. The anti-oxidative and inflammatory status was assessed at baseline and post-treatment. Genome-wide genetic data was also obtained from all participants, to investigate gene-by-Mastiha interactions. NAFLD patients with severe obesity (BMI & gt; 35kg/m 2 ) taking the Mastiha had significantly higher total antioxidant status (TAS) compared to the corresponding placebo group (P value=0.008). We did not observe any other significant change in the investigated biomarkers as a result of Mastiha supplementation alone. We identified several novel gene-by-Mastiha interaction associations with levels of cytokines and antioxidant biomarkers. Some of the identified genetic loci are implicated in the pathological pathways of NAFLD, including the lanosterol synthase gene ( LSS) associated with glutathione peroxidase activity (Gpx) levels, the mitochondrial pyruvate carrier-1 gene ( MPC1) and the sphingolipid transporter-1 gene ( SPNS1 ) associated with hemoglobin levels, the transforming growth factor‐beta‐induced gene ( TGFBI ) and the micro-RNA 129-1 ( MIR129-1) associated with IL-6 and the granzyme B gene ( GZMB ) associated with IL-10 levels. Within the MAST4HEALTH randomized clinical trial (NCT03135873, www.clinicaltrials.gov ) Mastiha supplementation improved the TAS levels among NAFLD patients with severe obesity. We identified several novel genome-wide significant nutrigenetic interactions, influencing the antioxidant and inflammatory status in NAFLD. Clinical Trial Registration ClinicalTrials.gov , identifier NCT03135873.
    Type of Medium: Online Resource
    ISSN: 1664-3224
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2021
    detail.hit.zdb_id: 2606827-8
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  • 4
    In: Frontiers in Physiology, Frontiers Media SA, Vol. 13 ( 2022-12-15)
    Abstract: Introduction : Non-alcoholic fatty liver disease (NAFLD) is a condition where excess fat accumulates in the liver (hepatic steatosis) and there is no history of alcohol abuse or other secondary causes of chronic liver disease. NAFLD is a very common disorder, occurring in 25% of the global population. NAFLD is now the most common chronic liver disorder in Western countries. Liver biopsy is the gold standard for NAFLD diagnosis and staging; however, this is invasive, costly and not without risk. Biomarkers that could diagnose and stage disease would reduce the need for biopsy and allow stratification of patients at risk of progression to non-alcoholic steatohepatitis (NASH). Methods : One hundred and thirty-five patients were involved in the study [N = 135: n = 34 controls; n = 26 simple steatosis; n = 61 NAFLD/NASH, and n = 14 alcoholic liver disease (ALD)]. Clinically diagnosed (ICD-10) patient serum samples were obtained from Discovery Life Sciences (US) along with clinical history. Samples were run in duplicate using high-sensitivity cytokine array I, immunoassays and ELISAs. In total, n = 20 individual biomarkers were investigated in this pilot study. Results : Thirteen/20 (65%) biomarkers were identified as significantly different between groups; IFNγ, EGF, IL-1β, IL-6, IL-8, IL-10, TNFα, FABP-1, PIIINP, ST2/IL-33R, albumin, AST and ALT. Five/20 (25%) biomarker candidates were identified for further investigation; namely, three biomarkers of inflammation, IL-6, IL-8, and TNFα, and two biomarkers of fibrosis, PIIINP and ST2/IL-33R. Discussion : Single biomarkers are unlikely to be diagnostic or predictive at staging NAFLD due to the complex heterogeneity of the disease. However, biomarker combinations may help stratify risk and stage disease where patients are averse to biopsy. Further studies comparing the 5 biomarkers identified in this study with current diagnostic tests and fibrotic deposition in liver tissue are warranted.
    Type of Medium: Online Resource
    ISSN: 1664-042X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2564217-0
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  • 5
    In: International Journal of Environmental Research and Public Health, MDPI AG, Vol. 19, No. 2 ( 2022-01-16), p. 971-
    Abstract: Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Italy, and Serbia) affected by NAFLD. For the first time, iron-corrected T1 (cT1), proton density fat fraction (PDFF), and the liver inflammation fibrosis score (LIF) were examined in relation to diet. A total of 97 obese patients with NAFLD from the MAST4HEALTH study were included in the analysis. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess the quality of diet and food combinations. Other variables investigated include anthropometric measurements, total type 2 diabetes risk, physical activity level (PAL), and smoking status. Principal component analysis (PCA) was performed to identify dietary patterns. Six dietary patterns were identified, namely “High-Sugar”, “Prudent”, “Western”, “High-Fat and Salt”, “Plant-Based”, and “Low-Fat Dairy and Poultry”. The “Western” pattern was positively associated with cT1 in the unadjusted model (beta: 0.020, p-value: 0.025) and even after adjusting for age, sex, body mass index (BMI), PAL, smoking, the center of the study, and the other five dietary patterns (beta: 0.024, p-value: 0.020). On the contrary, compared with low-intake patients, those with medium intake of the “Low-Fat Dairy and Poultry” pattern were associated with lower values of cT1, PDFF, and LIF. However, patients with a “Low-Fat Dairy and Poultry” dietary pattern were negatively associated with MRI parameters (cT1: beta: −0.052, p-value: 0.046, PDFF: beta: −0.448, p-value: 0.030, LIF: beta: −0.408, p-value: 0.025). Our findings indicate several associations between MRI parameters and dietary patterns in NAFLD patients, highlighting the importance of diet in NAFLD.
    Type of Medium: Online Resource
    ISSN: 1660-4601
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2175195-X
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  • 6
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 14 ( 2024-5-8)
    Abstract: Detailed and invasive clinical investigations are required to identify the causes of haematuria. Highly unbalanced patient population (predominantly male) and a wide range of potential causes make the ability to correctly classify patients and identify patient-specific biomarkers a major challenge. Studies have shown that it is possible to improve the diagnosis using multi-marker analysis, even in unbalanced datasets, by applying advanced analytical methods. Here, we applied several machine learning algorithms to classify patients from the haematuria patient cohort (HaBio) by analysing multiple biomarkers and to identify the most relevant ones. Materials and methods We applied several classification and feature selection methods (k-means clustering, decision trees, random forest with LIME explainer and CACTUS algorithm) to stratify patients into two groups: healthy (with no clear cause of haematuria) or sick (with an identified cause of haematuria e.g., bladder cancer, or infection). The classification performance of the models was compared. Biomarkers identified as important by the algorithms were also analysed in relation to their involvement in the pathological processes. Results Results showed that a high unbalance in the datasets significantly affected the classification by random forest and decision trees, leading to the overestimation of the sick class and low model performance. CACTUS algorithm was more robust to the unbalance in the dataset. CACTUS obtained a balanced accuracy of 0.747 for both genders, 0.718 for females and 0.803 for males. The analysis showed that in the classification process for the whole dataset: microalbumin, male gender, and tPSA emerged as the most informative biomarkers. For males: age, microalbumin, tPSA, cystatin C, BTA, HAD and S100A4 were the most significant biomarkers while for females microalbumin, IL-8, pERK, and CXCL16. Conclusions CACTUS algorithm demonstrated improved performance compared with other methods such as decision trees and random forest. Additionally, we identified the most relevant biomarkers for the specific patient group, which could be considered in the future as novel biomarkers for diagnosis. Our results have the potential to inform future research and provide new personalised diagnostic approaches tailored directly to the needs of the individuals.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2649216-7
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  • 7
    In: Metabolites, MDPI AG, Vol. 13, No. 8 ( 2023-08-18), p. 959-
    Abstract: Non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) have been linked to changes in amino acid (AA) levels. The objective of the current study was to examine the relationship between MRI parameters that reflect inflammation and fibrosis and plasma AA concentrations in NAFLD patients. Plasma AA levels of 97 NAFLD patients from the MAST4HEALTH study were quantified with liquid chromatography. Medical, anthropometric and lifestyle characteristics were collected and biochemical parameters, as well as inflammatory and oxidative stress biomarkers, were measured. In total, subjects with a higher MRI-proton density fat fraction (MRI-PDFF) exhibited higher plasma AA levels compared to subjects with lower PDFF. The concentrations of BCAAs (p-Value: 0.03), AAAs (p-Value: 0.039), L-valine (p-Value: 0.029), L-tyrosine (p-Value: 0.039) and L-isoleucine (p-Value: 0.032) were found to be significantly higher in the higher PDFF group compared to lower group. Plasma AA levels varied according to MRI-PDFF. Significant associations were also demonstrated between AAs and MRI-PDFF and MRI-cT1, showing the potential utility of circulating AAs as diagnostic markers of NAFLD.
    Type of Medium: Online Resource
    ISSN: 2218-1989
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662251-8
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  • 8
    Online Resource
    Online Resource
    Frontiers Media SA ; 2023
    In:  Frontiers in Drug Safety and Regulation Vol. 3 ( 2023-12-21)
    In: Frontiers in Drug Safety and Regulation, Frontiers Media SA, Vol. 3 ( 2023-12-21)
    Abstract: Introduction: The COVID-19 pandemic has caused a significant increase in mental health issues which general practitioners are now witnessing and managing in communities across Northern Ireland. Unfortunately, this new tsunami of patients with mental health issues has put tremendous strain on our already overburdened health system. As a result, Northern Ireland currently holds the unenviable record for prescribing more anti-anxiety and anti-depressant medication than any other country in the world. Methods: Data was obtained from the Northern Ireland Statistics and Research Agency (NISRA), Family Practitioner Services, General Pharmaceutical Services, Annual Statistics 2020/2021 (published June 2021) and 2021/2022 (published June 2022). Data was analysed by age, gender, district, and socioeconomic class on prescription medication [according to the British National Formulary (BNF)]. Results: From 2020/2021 to 2021/2022, the prescribing culture for anti-anxiety and/or anti-depressant medication in Northern Ireland did not abate (24% vs. 14%, female to male, respectively). The postcode and index of multiple deprivation (IMD) was analysed and a mean IMD for each constituency was taken as an estimate of the overall IMD to establish if money spent per patient was related to the IMD in each constituency. North Down, South Antrim, and East Antrim were least deprived, as indicated by their high IMD. Whereas, Foyle, and Belfast West were most deprived (low IMD). The cost of mood and anxiety medication per patient was compared against constituency; patients in Belfast West and Belfast North, followed by Foyle, had the highest costs per patient, and the lowest IMD (most deprived). Conclusion: This review concludes that there has been no change in the prescribing culture for anti-anxiety or anti-depressants across Northern Ireland (2020–2022). The cost of mood and anxiety medication per patient did not correlate with the index of multiple deprivation (IMD). Areas of low IMD trended to have higher spend. Is it now time to review the prescribing culture in Northern Ireland and offer greater support to our GPs to initiate a program of deprescribing and manage the wellbeing of our citizens?
    Type of Medium: Online Resource
    ISSN: 2674-0869
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 3106174-6
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  • 9
    Online Resource
    Online Resource
    Mary Ann Liebert Inc ; 2007
    In:  Journal of Computational Biology Vol. 14, No. 9 ( 2007-11), p. 1185-1200
    In: Journal of Computational Biology, Mary Ann Liebert Inc, Vol. 14, No. 9 ( 2007-11), p. 1185-1200
    Type of Medium: Online Resource
    ISSN: 1066-5277 , 1557-8666
    Language: English
    Publisher: Mary Ann Liebert Inc
    Publication Date: 2007
    detail.hit.zdb_id: 2030900-4
    detail.hit.zdb_id: 919182-3
    SSG: 12
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  • 10
    Online Resource
    Online Resource
    Elsevier BV ; 2008
    In:  Biophysical Journal Vol. 94, No. 6 ( 2008-03), p. 1995-2006
    In: Biophysical Journal, Elsevier BV, Vol. 94, No. 6 ( 2008-03), p. 1995-2006
    Type of Medium: Online Resource
    ISSN: 0006-3495
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2008
    detail.hit.zdb_id: 218078-9
    SSG: 12
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