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6 results on '"Caan, M. W. A."'

1. Do people living with HIV experience greater age advancement than their HIV-negative counterparts?

Author

De Francesco, Davide, Wit, Ferdinand W., Burkle, Alexander, Oehlke, Sebastian, Kootstra, Neeltje A., Winston, Alan, Franceschi, Claudio, Garagnani, Paolo, Pirazzini, Chiara, Libert, Claude, Grune, Tilman, Weber, Daniela, Jansen, Eugene H. J. M., Sabin, Caroline A., Reiss, Peter, Reiss, P., Winston, A., Wit, F. W., Prins, M., van der Loeff, M. F. Schim, Schouten, J., Schmand, B., Geurtsen, G. J., Sharp, D. J., Caan, M. W. A., Majoie, C., Villaudy, J., Berkhout, B., Kootstra, N. A., Gisslen, M., Pasternak, A., Sabin, C. A., Guaraldi, G., Burkle, A., Libert, C., Franceschi, C., Kalsbeek, A., Fliers, E., Hoeijmakers, J., Pothof, J., van der Valk, M., Bisschop, P. H., Portegies, P., Zaheri, S., Burger, D., Cole, J. H., Biirkle, A., Zikkenheiner, W., Janssen, F. R., Underwood, J., Kooij, K. W., van Zoest, R. A., Doyle, N., van der Loeff, M. Schim, Schmand, B. A., Verheij, E., Verboeket, S. O., Elsenga, B. C., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Tembo, L., McDonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Kingsley, C., Norsworthy, P., Mullaney, S., Kruijer, T., del Grande, L., Olthof, V, Visser, G. R., May, L., Verbraak, F., Demirkaya, N., Visser, I, Majoie, C. B. L. M., Su, T., Leech, R., Huguet, J., Frankin, E., van der Kuyl, A., Weijer, K., Siteur-Van Rijnstra, E., Harskamp-Holwerda, A. M., Maurer, I, Ruiz, M. M. Mangas, Girigorie, A. F., Boeser-Nunnink, B., Kals-Beek, A., Bisschop, P. H. L. T., de Graaff-Teulen, M., Dewaele, S., Garagnani, P., Pirazzini, C., Capri, M., Dall'Olio, F., Chiricolo, M., Salvioli, S., Fuchs, D., Zetterberg, H., Weber, D., Grune, T., Jansen, E. H. J. M., De Francesco, D., Sindlinger, T., Oehlke, S., Global Health, AII - Infectious diseases, APH - Aging & Later Life, Experimental Immunology, ANS - Neurodegeneration, AMS - Restoration & Development, Medical Psychology, and APH - Mental Health

Subjects
Male, 0301 basic medicine, CYTOMEGALOVIRUS, HIV Infections, DISEASE, 0302 clinical medicine, Biomarkers of aging, Medicine and Health Sciences, Immunology and Allergy, 030212 general & internal medicine, the Co-morBidity in Relation to AIDS (COBRA) Collaboration, POPULATION, Immunodeficiency, education.field_of_study, premature aging, virus diseases, 11 Medical And Health Sciences, Middle Aged, Hepatitis B, SOUTH-AFRICA, Infectious Diseases, Anti-Retroviral Agents, Cohort, Female, Life Sciences & Biomedicine, medicine.drug, Adult, Premature aging, medicine.medical_specialty, BIOMARKERS, Immunology, Population, biomarkers of aging, 17 Psychology And Cognitive Sciences, 03 medical and health sciences, Acquired immunodeficiency syndrome (AIDS), Virology, ddc:570, Internal medicine, medicine, Humans, accelerated aging, education, Aged, accelerated aging, aging, biological age, biomarkers of aging, HIV, premature aging, Science & Technology, business.industry, aging, Biology and Life Sciences, HIV, 06 Biological Sciences, medicine.disease, COMORBIDITIES, biological age, INFECTED INDIVIDUALS, IMMUNOGLOBULIN-G ANTIBODY, PROTEASE INHIBITORS, Cross-Sectional Studies, 030104 developmental biology, RISK-FACTORS, business, Saquinavir
Abstract

Objectives: Despite successful antiretroviral (ARV) therapy, people living with HIV (PLWH) may show signs of premature/accentuated aging. We compared established biomarkers of aging in PLWH, appropriately-chosen HIV-negative individuals, and blood donors, and explored factors associated with biological age advancement.Design: Cross-sectional analysis of 134 PLWH on suppressive ARV therapy, 79 lifestyle-comparable HIV-negative controls aged ≥45 years from the Co-morBidity in Relation to AIDS (COBRA) cohort, and 35 age-matched blood donors (BD).Methods: Biological age was estimated using a validated algorithm based on ten biomarkers. Associations between ‘age advancement’ (biological minus chronological age) and HIV status/parameters, lifestyle, cytomegalovirus (CMV), hepatitis B (HBV) and hepatitis C virus (HCV) infections were investigated using linear regression.Results: The average (95% CI) age advancement was greater in both HIV-positive [13.2 (11.6, 14.9) years] and HIV-negative [5.5 (3.8, 7.2) years] COBRA participants compared to BD [-7.0 (-4.1, -9.9) years, both p's < 0.001)], but also in HIV-positive compared to HIV-negative participants (p < 0.001). Chronic HBV, higher anti-CMV IgG titer and CD8+ T-cell count were each associated with increased age advancement, independently of HIV-status/group. Among HIV-positive participants, age advancement was increased by 3.5 (0.1, 6.8) years among those with nadir CD4+ < 200 cells/μL and by 0.1 (0.06, 0.2) years for each additional month of exposure to saquinavir.Conclusions: Both treated PLWH and lifestyle-comparable HIV-negative individuals show signs of age advancement compared to BD, to which persistent CMV, HBV co-infection and CD8+ T-cell activation may have contributed. Age advancement remained greatest in PLWH and was related to prior immunodeficiency and cumulative saquinavir exposure. published

Published
2019

2. High Cellular Monocyte Activation in People Living With Human Immunodeficiency Virus on Combination Antiretroviral Therapy and Lifestyle-Matched Controls Is Associated With Greater Inflammation in Cerebrospinal Fluid

Author

Booiman, Thijs, Wit, Ferdinand W., Maurer, Irma, De Francesco, Davide, Sabin, Caroline A., Harskamp, Agnes M., Prins, Maria, Garagnani, Paolo, Pirazzini, Chiara, Franceschi, Claudio, Fuchs, Dietmar, Gisslén, Magnus, Winston, Alan, Reiss, Peter, Kootstra, Neeltje A., Reiss, P., Wit, F. W. N. M., Schouten, J., Kooij, K. W., van Zoest, R. A., Elsenga, B. C., Janssen, F. R., Heidenrijk, M., Zikkenheiner, W., van der Valk, M., Kootstra, N. A., Booiman, T., Harskamp-Holwerda, A. M., Boeser-Nunnink, B., Maurer, I., Mangas Ruiz, M. M., Girigorie, A. F., Villaudy, J., Frankin, E., Pasternak, A., Berkhout, B., van der Kuyl, T., Portegies, P., Schmand, B. A., Geurtsen, G. J., ter Stege, J. A., Klein Twennaar, M., Majoie, C. B. L. M., Caan, M. W. A., Su, T., Weijer, K., Bisschop, P. H. L. T., Kalsbeek, A., Wezel, M., Visser, I., Ruhé, H. G., Franceschi, C., Garagnani, P., Pirazzini, C., Capri, M., Dall’Olio, F., Chiricolo, M., Salvioli, S., Hoeijmakers, J., Pothof, J., Prins, M., Martens, M., Moll, S., Berkel, J., Totté, M., Kovalev, S., Gisslén, M., Fuchs, D., Zetterberg, H., Winston, A., Underwood, J., McDonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Doyle, N., Kingsley, C., Sharp, D. J., Leech, R., Cole, J. H., Zaheri, S., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Burger, D., de Graaff-Teulen, M., Guaraldi, G., Bürkle, A., Sindlinger, T., Moreno-Villanueva, M., Keller, A., Sabin, C., de Francesco, D., Libert, C., Dewaele, S., Booiman, Thij, Wit, Ferdinand W., Maurer, Irma, De Francesco, Davide, Sabin, Caroline A., Harskamp, Agnes M., Prins, Maria, Garagnani, Paolo, Pirazzini, Chiara, Franceschi, Claudio, Fuchs, Dietmar, Gisslã©n, Magnu, Winston, Alan, Reiss, Peter, Kootstra, Neeltje A., Schouten, J., Kooij, K. W., van Zoest, R. A., Elsenga, B. C., Janssen, F. R., Heidenrijk, M., Zikkenheiner, W., van der Valk, M., Kootstra, N. A., Harskamp-Holwerda, A. M., Boeser-Nunnink, B., Mangas Ruiz, M. M., Girigorie, A. F., Villaudy, J., Frankin, E., Pasternak, A., Berkhout, B., van der Kuyl, T., Portegies, P., Schmand, B. A., Geurtsen, G. J., ter Stege, J. A., Klein Twennaar, M., Majoie, C. B. L. M., Caan, M. W. A., Su, T., Weijer, K., Bisschop, P. H. L. T., Kalsbeek, A., Wezel, M., Visser, I., Ruhã©, H. G., Capri, M., Dall'Olio, F., Chiricolo, M., Salvioli, S., Hoeijmakers, J., Pothof, J., Martens, M., Moll, S., Berkel, J., Tottã©, M., Kovalev, S., Zetterberg, H., Underwood, J., Mcdonald, L., Stott, M., Legg, K., Lovell, A., Erlwein, O., Doyle, N., Kingsley, C., Sharp, D. J., Leech, R., Cole, J. H., Zaheri, S., Hillebregt, M. M. J., Ruijs, Y. M. C., Benschop, D. P., Burger, D., de Graaff-Teulen, M., Guaraldi, G., Bã¼rkle, A., Sindlinger, T., Moreno-Villanueva, M., Keller, A., de Francesco, D., Libert, C., Dewaele, S., National Institute for Health Research, ANS - Neuroinfection & -inflammation, Other departments, Infectious diseases, APH - Aging & Later Life, AII - Infectious diseases, Global Health, Experimental Immunology, AII - Amsterdam institute for Infection and Immunity, APH - Global Health, Graduate School, Medical Microbiology and Infection Prevention, Medical Psychology, AMS - Amsterdam Movement Sciences, APH - Mental Health, Radiology and Nuclear Medicine, ACS - Amsterdam Cardiovascular Sciences, Cell Biology and Histology, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, Endocrinology, Endocrinology Laboratory, ACS - Microcirculation, ACS - Atherosclerosis & ischemic syndromes, ACS - Diabetes & metabolism, and Netherlands Institute for Neuroscience (NIN)

Subjects
0301 basic medicine, monocyte, COAGULATION, Viremia, Inflammation, CSF, CD38, Monocyte, immune activation, DISEASE, 03 medical and health sciences, INNATE IMMUNE ACTIVATION, MARKERS, Medicine and Health Sciences, Major Article, medicine, Journal Article, CD64, CD40, Immune activation, biology, business.industry, HIV, Biology and Life Sciences, CHRONIC HIV-INFECTION, medicine.disease, 3. Good health, CHEMOATTRACTANT PROTEIN-1, 030104 developmental biology, Infectious Diseases, medicine.anatomical_structure, Oncology, inflammation, Immunology, Cohort, RISK-FACTORS, biology.protein, HEMOGLOBIN SCAVENGER RECEPTOR, GUT EPITHELIAL BARRIER, CD163, Neurology (clinical), medicine.symptom, business
Abstract

Background Increased monocyte activation and intestinal damage have been shown to be predictive for the increased morbidity and mortality observed in treated people living with human immunodeficiency virus (PLHIV). Methods A cross-sectional analysis of cellular and soluble markers of monocyte activation, coagulation, intestinal damage, and inflammation in plasma and cerebrospinal fluid (CSF) of PLHIV with suppressed plasma viremia on combination antiretroviral therapy and age and demographically comparable HIV-negative individuals participating in the Comorbidity in Relation to AIDS (COBRA) cohort and, where appropriate, age-matched blood bank donors (BBD). Results People living with HIV, HIV-negative individuals, and BBD had comparable percentages of classical, intermediate, and nonclassical monocytes. Expression of CD163, CD32, CD64, HLA-DR, CD38, CD40, CD86, CD91, CD11c, and CX3CR1 on monocytes did not differ between PLHIV and HIV-negative individuals, but it differed significantly from BBD. Principal component analysis revealed that 57.5% of PLHIV and 62.5% of HIV-negative individuals had a high monocyte activation profile compared with 2.9% of BBD. Cellular monocyte activation in the COBRA cohort was strongly associated with soluble markers of monocyte activation and inflammation in the CSF. Conclusions People living with HIV and HIV-negative COBRA participants had high levels of cellular monocyte activation compared with age-matched BBD. High monocyte activation was predictive for inflammation in the CSF.

Published
2017

3. Patterns of Co-occurring Comorbidities in People Living With HIV

Author

De Francesco, Davide, Verboeket, Sebastiaan O, Underwood, Jonathan, Bagkeris, Emmanouil, Wit, Ferdinand W, Mallon, Patrick W G, Winston, Alan, Reiss, Peter, Sabin, Caroline A, Study group members AMC, Reiss, P., Wit, F. W. N. M., Kooij, K. W., van Zoest, R. A., Verheij, E., Verboeket, Sebastiaan O., Prins, M., Kootstra, N. A., Harskamp-Holwerda, A. M., Maurer, Irma, Mangas Ruiz, M. M., Boeser-Nunnink, B. D. M., Geerlings, S. E., Goorhuis, A., Hovius, J. W. R., Nellen, F. J. B., van der Poll, Tom, Prins, J. M., Wiersinga, W. J., van Vugt, M., de Bree, G. J., Postema, P. G., Bisschop, P. H. L. T., Serlie, M. J. M., Dekker, E., van der Velde, N., Willemsen, J. M. R., Vogt, L., Portegies, P., Schmand, B. A., Geurtsen, G. J., Verbraak, F. D., Visser, I., Nieuwkerk, P. T., Majoie, C. B. L. M., Caan, M. W. A., van Lunsen, H. W., van den Born, B. J. H., Stroes, E. S. G., Intensive care medicine, Anatomy and neurosciences, Medical psychology, Internal medicine, APH - Aging & Later Life, Elderly care medicine, Amsterdam Neuroscience - Systems & Network Neuroscience, Ophthalmology, Psychiatry, APH - Mental Health, Radiology and nuclear medicine, ACS - Atherosclerosis & ischemic syndromes, Graduate School, Center of Experimental and Molecular Medicine, Global Health, Infectious diseases, APH - Global Health, Experimental Immunology, APH - Quality of Care, Cardiology, Endocrinology, Gastroenterology and Hepatology, Geriatrics, Nephrology, APH - Health Behaviors & Chronic Diseases, Neurology, Medical Psychology, APH - Societal Participation & Health, Adult Psychiatry, APH - Personalized Medicine, Radiology and Nuclear Medicine, Obstetrics and Gynaecology, Vascular Medicine, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, APH - Methodology, ACS - Microcirculation, ACS - Heart failure & arrhythmias, and ACS - Diabetes & metabolism

Subjects
0301 basic medicine, patterns of comorbidities, medicine.medical_specialty, multimorbidity, comorbidities, Major Articles, 03 medical and health sciences, 0302 clinical medicine, Acquired immunodeficiency syndrome (AIDS), Interquartile range, Internal medicine, Health care, medicine, Medical history, 030212 general & internal medicine, Pathological, business.industry, Metabolic disorder, HIV, medicine.disease, 030112 virology, Comorbidity, Mental health, Infectious Diseases, Oncology, Pharmacokinetic and Clinical Observations in PeoPle Over fiftY (POPPY) study and the AGEhIV Cohort Study, business
Abstract

Background The aims of this study were to identify common patterns of comorbidities observed in people living with HIV (PLWH), using a data-driven approach, and evaluate associations between patterns identified. Methods A wide range of comorbidities were assessed in PLWH participating in 2 independent cohorts (POPPY: UK/Ireland; AGEhIV: Netherlands). The presence/absence of each comorbidity was determined using a mix of self-reported medical history, concomitant medications, health care resource use, and laboratory parameters. Principal component analysis (PCA) based on Somers’ D statistic was applied to identify patterns of comorbidities. Results PCA identified 6 patterns among the 1073 POPPY PLWH (85.2% male; median age [interquartile range {IQR}], 52 [47–59] years): cardiovascular diseases (CVDs), sexually transmitted diseases (STDs), mental health problems, cancers, metabolic disorders, chest/other infections. The CVDs pattern was positively associated with cancer (r = .32), metabolic disorder (r = .38), mental health (r = .16), and chest/other infection (r = .17) patterns (all P < .001). The mental health pattern was correlated with all the other patterns (in particular cancers: r = .20; chest/other infections: r = .27; both P < .001). In the 598 AGEhIV PLWH (87.6% male; median age [IQR], 53 [48–59] years), 6 patterns were identified: CVDs, chest/liver, HIV/AIDS events, mental health/neurological problems, STDs, and general health. The general health pattern was correlated with all the other patterns (in particular CVDs: r = .14; chest/liver: r = .15; HIV/AIDS events: r = .31; all P < .001), except STDs (r = –.02; P = .64). Conclusions Comorbidities in PLWH tend to occur in nonrandom patterns, reflecting known pathological mechanisms and shared risk factors, but also suggesting potential previously unknown mechanisms. Their identification may assist in adequately addressing the pathophysiology of increasingly prevalent multimorbidity in PLWH.

Published
2018

4. Cross-sectional Comparison of the Prevalence of Age-Associated Comorbidities and Their Risk Factors Between HIV-Infected and Uninfected Individuals: The AGEhIV Cohort Study

Author

Schouten, Judith, Wit, Ferdinand W., Stolte, Ineke G., Kootstra, Neeltje A., van der Valk, Marc, Geerlings, Suzanne E., Prins, Maria, Reiss, Peter, Kooij, K. W., van Zoest, R. A., Elsenga, B. C., Stolte, I. G., Martens, M., Moll, S., Berkel, J., Möller, L., Visser, G. R., Welling, C., Zaheri, S., Gras, L. A. J., van Leeuwen, E., Godfried, M. H., Goorhuis, A., van der Meer, J. T. M., Nellen, F. J. B., van der Poll, T., Prins, J. M., Wiersinga, W. J., Postema, P. G., Bisschop, P. H. L. T., Serlie, M. J. M., Dekker, E., de Rooij, S. E. J. A., Vogt, L., Portegies, P., Schmand, B. A., Geurtsen, G. J., van Eck-Smit, B. L. F., de Jong, M., Richel, D. J., Verbraak, F. D., Demirkaya, N., Ruhé, H. G., Nieuwkerk, P. T., van Steenwijk, R. P., Majoie, C. B. L. M., Caan, M. W. A., van Lunsen, H. W., van den Born, B. J. H., Stroes, E. S. G., Graduate School, AII - Amsterdam institute for Infection and Immunity, Global Health, Experimental Immunology, Infectious diseases, APH - Amsterdam Public Health, Other departments, Other Research, Obstetrics and Gynaecology, General Internal Medicine, Center of Experimental and Molecular Medicine, ACS - Amsterdam Cardiovascular Sciences, Cardiology, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, AMS - Amsterdam Movement Sciences, Endocrinology, CCA -Cancer Center Amsterdam, ANS - Amsterdam Neuroscience, Geriatrics, Nephrology, Neurology, Medical Microbiology and Infection Prevention, Oncology, Biomedical Engineering and Physics, Ophthalmology, Adult Psychiatry, Medical Psychology, Pulmonology, Radiology and Nuclear Medicine, Vascular Medicine, and Pharmacy

Subjects
Male, Microbiology (medical), medicine.medical_specialty, HIV Infections, Disease, Cohort Studies, Risk Factors, Internal medicine, Prevalence, Humans, Medicine, Family history, Prospective cohort study, Immunodeficiency, Aged, business.industry, Odds ratio, Middle Aged, medicine.disease, Comorbidity, Cross-Sectional Studies, Infectious Diseases, Cardiovascular Diseases, Hypertension, Immunology, Female, Ritonavir, business, Cohort study, medicine.drug
Abstract

Human immunodeficiency virus (HIV)-infected individuals may be at increased risk of age-associated noncommunicable comorbidities (AANCCs). Cross-sectional analyses of AANCC prevalence (including cardiovascular, metabolic, pulmonary, renal, bone, and malignant disease) and risk factors in a prospective cohort study of HIV type 1-infected individuals and HIV-uninfected controls, who were aged ≥45 years and comparable regarding most lifestyle and demographic factors. HIV-infected participants (n = 540) had a significantly higher mean number of AANCCs than controls (n = 524) (1.3 [SD, 1.14] vs 1.0 [SD, 0.95]; P < .001), with significantly more HIV-infected participants having ≥1 AANCC (69.4% vs 61.8%; P = .009). Hypertension, myocardial infarction, peripheral arterial disease, and impaired renal function were significantly more prevalent among HIV-infected participants. Risk of AANCC by ordinal logistic regression was independently associated with age, smoking, positive family history for cardiovascular/metabolic disease, and higher waist-to-hip ratio, but also with HIV infection (odds ratio, 1.58 [95% confidence interval, 1.23-2.03]; P < .001). In those with HIV, longer exposure to CD4 counts

Published
2014

5. Linear and kernel fisher discriminant analysis for studying diffusion tensor images in schizophrenia

Author

Vos, F. M., Caan, M. W. A., Vermeer, K. A., Majoie, C. B. L. M., den Heeten, G. J., van Vliet, L. J., Anonymous, A., Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Neuroscience, Radiology and Nuclear Medicine, Other departments, Amsterdam Cardiovascular Sciences, Cancer Center Amsterdam, and Amsterdam Public Health

Subjects
Contextual image classification, business.industry, Covariance matrix, Pattern recognition, computer.software_genre, Linear discriminant analysis, Kernel (image processing), Voxel, Computer Science::Computer Vision and Pattern Recognition, Principal component analysis, Artificial intelligence, Kernel Fisher discriminant analysis, business, computer, Mathematics, Diffusion MRI
Abstract

A new method is explored to study schizophrenia using diffusion tensor imaging (DTI). Both linear discriminant analysis (LDA) and kernel fisher discriminant analysis (KFDA) are combined with principal components analysis (PCA). Thus, a linear and non-linear combination of voxels is sought that separates patients from controls. PCA/KFDA does not show an improvement over PCA/LDA in classification. Because the PCA/LDA-mapping can be visualized, which enables localisation of differences, this method is preferred for analysis.

Published
2007

6. Pruning datasets in discriminant analysis: a DTI study to schizophrenia

Author

Caan, M. W. A., Vermeer, K. A., van Vliet, L. J., Grimbergen, C. A., Vos, F. M., Anonymous, A., Other departments, Amsterdam Cardiovascular Sciences, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam Neuroscience, Biomedical Engineering and Physics, and Radiology and Nuclear Medicine

Subjects
business.industry, Feature vector, Contrast (statistics), Pattern recognition, Linear discriminant analysis, computer.software_genre, Discriminative model, Region of interest, Voxel, Principal component analysis, Pruning (decision trees), Artificial intelligence, business, computer, Mathematics
Abstract

A comparative study is commonly performed by means of pre-defined or expert selected region of interest (ROI)-analysis or voxel based analysis (VBA). In contrast to these methods, correlations within the data can be modeled by using principal component analysis (PCA) and linear discriminant analysis (LDA). The mapping computed by PCA/LDA is displayed to identify the discriminative regions. A technique called 'pruning' is introduced to iteratively discard misclassified subjects from the cohort. These subjects reside in the region in feature space where the classes are overlapping. As the exact cause of this overlapping is unknown, it is preferable to base the mapping merely on representative prototypes, residing in the nonoverlapping parts of the feature space. After pruning the PCA/LDA mapping, a more pronounced decrease in FA in larger parts of the corpus callosum was observed, compared to conventional VBA

Published
2007

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