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448 results on '"Cauwenberghs, Nicholas"'

10. Clinical and Echocardiographic Diversity Associated With Physical Fitness in the Project Baseline Health Study: Implications for Heart Failure Staging

Author

CAUWENBERGHS, NICHOLAS, HADDAD, FRANCOIS, DAUBERT, MELISSA A., CHATTERJEE, RANEE, SALERNO, MICHAEL, MEGA, JESSICA L., HEIDENREICH, PAUL, HERNANDEZ, ADRIAN, AMSALLEM, MYRIAM, KOBAYASHI, YUKARI, MAHAFFEY, KENNETH W., SHAH, SVATI H., BLOOMFIELD, GERALD S., KUZNETSOVA, TATIANA, and DOUGLAS, PAMELA S.

Published
2023
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12. Air pollution exposure is linked with methylation of immunoregulatory genes, altered immune cell profiles, and increased blood pressure in children.

Author

Prunicki, Mary, Cauwenberghs, Nicholas, Lee, Justin, Zhou, Xiaoying, Movassagh, Hesam, Noth, Elizabeth, Lurmann, Fred, Hammond, S Katharine, Balmes, John R, Desai, Manisha, Wu, Joseph C, and Nadeau, Kari C

Subjects
Clinical Research, Cardiovascular, Climate-Related Exposures and Conditions, Prevention, 2.1 Biological and endogenous factors, Inflammatory and immune system
Abstract

Ambient air pollution exposure is associated with cardiovascular dysregulation and immune system alterations, yet no study has investigated both simultaneously in children. Understanding the multifaceted impacts may provide early clues for clinical intervention prior to actual disease presentation. We therefore determined the associations between exposure to multiple air pollutants and both immunological outcomes (methylation and protein expression of immune cell types associated with immune regulation) and cardiovascular outcomes (blood pressure) in a cohort of school-aged children (6-8 years; n = 221) living in a city with known elevated pollution levels. Exposure to fine particular matter (PM2.5), carbon monoxide (CO), and ozone (O3) was linked to altered methylation of most CpG sites for genes Foxp3, IL-4, IL-10 and IFN-g, all involved in immune regulation (e.g. higher PM2.5 exposure 1 month prior to the study visit was independently associated with methylation of the IL-4 CpG24 site (est = 0.16; P = 0.0095). Also, immune T helper cell types (Th1, Th2 and Th17) were associated with short-term exposure to PM2.5, O3 and CO (e.g. Th1 cells associated with PM2.5 at 30 days: est = - 0.34, P

Published
2021

17. Association of left ventricular diastolic function with coronary artery calcium score: A Project Baseline Health Study

Author

Haddad, Francois, Cauwenberghs, Nicholas, Daubert, Melissa A., Kobayashi, Yukari, Bloomfield, Gerald S., Fleischman, Dominik, Koweek, Lynne, Maron, David J., Rodriguez, Fatima, Liao, Yaping Joyce, Moneghetti, Kegan, Amsallem, Myriam, Mega, Jessica, Hernandez, Adrian, Califf, Robert, Mahaffey, Kenneth W., Shah, Svati H., Kuznetsova, Tatiana, and Douglas, Pamela S.

Published
2022
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21. Integrating Metabolomics Domain Knowledge with Explainable Machine Learning in Atherosclerotic Cardiovascular Disease Classification.

Author

Santana, Everton, Ibrahimi, Eliana, Ntalianis, Evangelos, Cauwenberghs, Nicholas, and Kuznetsova, Tatiana

Subjects
BODY mass index, OXYGEN compounds, ORGANIC acids, GLUCURONIC acid, DISCRIMINANT analysis
Abstract

Metabolomic data often present challenges due to high dimensionality, collinearity, and variability in metabolite concentrations. Machine learning (ML) application in metabolomic analyses is enabling the extraction of meaningful information from complex data. Bringing together domain-specific knowledge from metabolomics with explainable ML methods can refine the predictive performance and interpretability of models used in atherosclerosis research. In this work, we aimed to identify the most impactful metabolites associated with the presence of atherosclerotic cardiovascular disease (ASCVD) in cross-sectional case–control studies using explainable ML methods integrated with metabolomics domain knowledge. For this, a subset from the FLEMENGHO cohort with metabolomic data available was used as the training cohort, including 63 patients with a history of ASCVD and 52 non-smoking controls matched by age, sex, and body mass index from the same population. First, Partial Least Squares Discriminant Analysis (PLS-DA) was applied for dimensionality reduction. The selected metabolites' correlations were analyzed by considering their chemical categorization. Then, eXtreme Gradient Boosting (XGBoost) was used to identify metabolites that characterize ASCVD. Next, the selected metabolites were evaluated in an external cohort to determine their effectiveness in distinguishing between cases and controls. A total of 56 metabolites were selected for ASCVD discrimination using PLS-DA. The primary identified metabolites' superclasses included lipids, organic acids, and organic oxygen compounds. Upon integrating these metabolites with the XGBoost model, the classification yielded a test area under the curve (AUC) of 0.75. SHAP analyses ranked cholesterol, 3-methylhistidine, and glucuronic acid among the most impactful features and showed the diversity of metabolites considered for building the ASCVD discriminator. Also using XGBoost, the selected metabolites achieved an AUC of 0.93 in an independent external validation cohort. In conclusion, the combination of different metabolites has the potential to build classifiers for ASCVD. Integrating metabolite categorization within the SHAP analysis further enhanced the interpretability of the model, offering insights into metabolite-specific contributions to ASCVD risk. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Author Correction: Circulating Biomarkers to Identify Responders in Cardiac Cell therapy.

Author

Jokerst, Jesse V, Cauwenberghs, Nicholas, Kuznetsova, Tatiana, Haddad, Francois, Sweeney, Timothy, Hou, Jiayi, Rosenberg-Hasson, Yael, Zhao, Eric, Schutt, Robert, Bolli, Roberto, Traverse, Jay H, Pepine, Carl J, Henry, Timothy D, Schulman, Ivonne H, Moyé, Lem, Taylor, Doris A, and Yang, Phillip C

Abstract

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

Published
2018

24. Temporal changes in soluble angiotensin-converting enzyme 2 associated with metabolic health, body composition, and proteome dynamics during a weight loss diet intervention: a randomized trial with implications for the COVID-19 pandemic

Author

Cauwenberghs, Nicholas, Prunicki, Mary, Sabovčik, František, Perelman, Dalia, Contrepois, Kévin, Li, Xiao, Snyder, Michael P, Nadeau, Kari C, Kuznetsova, Tatiana, Haddad, Francois, and Gardner, Christopher D

Published
2021
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26. Circulating Biomarkers to Identify Responders in Cardiac Cell therapy.

Author

Jokerst, Jesse V, Cauwenberghs, Nicholas, Kuznetsova, Tatiana, Haddad, Francois, Sweeney, Timothy, Hou, Jiayi, Rosenberg-Hasson, Yael, Zhao, Eric, Schutt, Robert, Bolli, Roberto, Traverse, Jay H, Pepine, Carl J, Henry, Timothy D, Schulman, Ivonne H, Moyé, Lem, Taylor, Doris A, and Yang, Phillip C

Abstract

Bone marrow mononuclear cell (BM-MNC) therapy in ST-elevation acute myocardial infarction (STEMI) has no biological inclusion criteria. Here, we analyzed 63 biomarkers and cytokines in baseline plasma samples from 77 STEMI patients treated with BM-MNCs in the TIME and Late-TIME trials as well as 61 STEMI patients treated with placebo. Response to cell therapy was defined by changes in left ventricular ejection fraction, systolic/diastolic volumes, and wall motion indexes. We investigated the clinical value of circulating proteins in outcome prediction using significance testing, partial least squares discriminant analysis, and receiver operating characteristic (ROC) analysis. Responders had higher biomarker levels (76-94% elevated) than non-responders. Several biomarkers had values that differed significantly (P 0.70 including interleukin 15. These biomarkers were not involved in the placebo-treated subjects suggesting that they may have predictive power. We conclude that plasma profiling after STEMI may help identify patients with a greater likelihood of response to cell-based treatment. Prospective trials are needed to assess the predictive value of the circulating biomarkers.

Published
2017

27. Abstract 14174: Abnormal Exercise Electrocardiography With Normal Stress Echocardiography is Associated With Increased Subclinical Coronary Atherosclerosis: Insights From the Project Baseline Health Study

Author

Duran, Jessica M, Nguyen, Maggie, Haddad, Francois, Cauwenberghs, Nicholas, Kuznetsova, Tatiana, Bloomfield, Gerald S, Mahaffey, Kenneth, Hernandez, Adrian F, Mega, Jessica L, Short, Sarah, Douglas, Pamela S, Shah, Svati H, and Daubert, Melissa A

Published
2022
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28. CLINICAL DETERMINANTS OF THE MACROVASCULAR REACTIVITY RESPONSE AS ASSESSED BY FLOW MEDIATED SLOWING IN PEOPLE AT RISK FOR CARDIOVASCULAR DISEASE

Author

Decorte, Elise, primary, Cauwenberghs, Nicholas, additional, Claes, Jomme, additional, De Wilde, Camille, additional, Michielsen, Matthijs, additional, Bekhuis, Youri, additional, Hansen, Dominique, additional, Van Craenenbroeck, Emeline, additional, Goetschalckx, Kaatje, additional, Claessen, Guido, additional, Kutznetsova, Tatiana, additional, De Smedt, Delphine, additional, and Cornelissen, Véronique, additional

Published
2024
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34. Exercise systolic blood pressure response during cycle ergometry is associated with future hypertension in normotensive individuals

Author

Carlén, Anna, Lindow, Thomas, Cauwenberghs, Nicholas, Elmberg, Viktor, Brudin, Lars, Ekstrom, Magnus, Hedman, Kristofer, Carlén, Anna, Lindow, Thomas, Cauwenberghs, Nicholas, Elmberg, Viktor, Brudin, Lars, Ekstrom, Magnus, and Hedman, Kristofer

Abstract

Aims We aimed to investigate the association between the exercise systolic blood pressure (SBP) response and future hypertension (HTN) in normotensive individuals referred for cycle ergometry, with special regard to reference exercise SBP values and exercise capacity.Methods and results In this longitudinal cohort study, data from 14 428 exercise tests were cross-linked with Swedish national registries on diagnoses and medications. We excluded individuals with a baseline diagnosis of cardiovascular disease or HTN. The peak exercise SBP (SBPpeak) was recorded and compared with the upper limit of normal (ULN) derived from SBP(pea)k reference equations incorporating age, sex, resting SBP, and exercise capacity. To evaluate the impact of exercise capacity, three SBP to work rate slopes (SBP/W-slopes) were calculated, relative to either supine or seated SBP at rest or to the first exercise SBP. Adjusted hazard ratios [HRadjusted (95% confidence interval, CI)] for incident HTN during follow-up, in relation to SBP response metrics, were calculated. We included 3895 normotensive individuals (49 +/- 14 years, 45% females) with maximal cycle ergometer tests. During follow-up (median 7.5 years), 22% developed HTN. Higher SBP(peak )and SBPpeak > ULN were associated with incident HTN [HRadjusted 1.19 (1.14-1.23) per 10 mmHg, and 1.95 (1.54-2.47), respectively]. All three SBP/W-slopes were positively associated with incident HTN, particularly the SBP/W-slope calculated as supine-to-peak SBP [HRadjusted 1.25 (1.19-1.31) per 1 mmHg/10 W].Conclusion Both SBPpeak > ULN based on reference values and high SBP/W-slopes were associated with incident HTN in normotensive individuals and should be considered in the evaluation of the cycle ergometry SBP response.Lay summary We examined the systolic blood pressure (SBP) response during maximal bicycle exercise testing in individuals without hypertension (HTN) or established cardiovascular disease and found that:center dot When a, Funding Agencies|Strategic research network CircM, Linkoping University, Sweden; Research Foundation Flanders, Belgium [1225021N]; Research Council KU Leuven [C24M/21/025]

Published
2024
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35. Hemodynamic Mechanisms

Author

Kuznetsova, Tatiana, Cauwenberghs, Nicholas, Mancia, Giuseppe, Series Editor, Rosei, Enrico Agabiti, Series Editor, Dorobantu, Maria, editor, Grassi, Guido, editor, and Voicu, Victor, editor

Published
2019
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38. Factors associated with lower quarter performance-based balance and strength tests: a cross-sectional analysis from the project baseline health study.

Author

Taylor, Kenneth A., Carroll, Megan K., Short, Sarah A., Celestin, Bettia E., Gilbertson, Adam, Olivier, Christoph B., Haddad, Francois, and Cauwenberghs, Nicholas

Subjects
MUSCLE strength, BIOMARKERS, C-reactive protein, CARDIOVASCULAR diseases, HEALTH behavior
Abstract

Objectives: Physical performance tests are predictive of mortality and may screen for certain health conditions (e.g., sarcopenia); however, their diagnostic and/or prognostic value has primarily been studied in age-limited or disease-specific cohorts. Our objective was to identify the most salient characteristics associated with three lower quarter balance and strength tests in a cohort of community-dwelling adults. Methods: We applied a stacked elastic net approach on detailed data on sociodemographic, health and health-related behaviors, and biomarker data from the first visit of the Project Baseline Health Study (N = 2,502) to determine which variables were most associated with three physical performance measures: single-legged balance test (SLBT), sitting-rising test (SRT), and 30-second chair-stand test (30CST). Analyses were stratified by age (<65 and =65). Results: Female sex, Black or African American race, lower educational attainment, and health conditions such as non-alcoholic fatty liver disease and cardiovascular conditions (e.g., hypertension) were consistently associated with worse performance across all three tests. Several other health conditions were associated with either better or worse test performance, depending on age group and test. C-reactive protein was the only laboratory value associated with performance across age and test groups with some consistency. Conclusions: Our results highlighted previously identified and several novel salient factors associated with performance on the SLBT, SRT, and 30CST. These tests could represent affordable, noninvasive biomarkers of prevalent and/or future disease in adult individuals; future research should validate these findings. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Integrative Interpretation of Cardiopulmonary Exercise Tests for Cardiovascular Outcome Prediction: A Machine Learning Approach

Author

Cauwenberghs, Nicholas, primary, Sente, Josephine, additional, Van Criekinge, Hanne, additional, Sabovčik, František, additional, Ntalianis, Evangelos, additional, Haddad, Francois, additional, Claes, Jomme, additional, Claessen, Guido, additional, Budts, Werner, additional, Goetschalckx, Kaatje, additional, Cornelissen, Véronique, additional, and Kuznetsova, Tatiana, additional

Published
2023
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