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Karlin H, Sooda M, Larson M, Rong J, Huan T, Mens MMJ, van Rooij FJA, Ikram MA, Courchesne P, Freedman JE, Joehanes R, Mueller GP, Kavousi M, Ghanbari M, Levy D. Plasma Extracellular MicroRNAs Associated With Cardiovascular Disease Risk Factors in Middle-Aged and Older Adults. J Am Heart Assoc 2024:e033674. [PMID: 38860398 DOI: 10.1161/jaha.123.033674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/01/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Extracellular microRNAs (miRNAs) are a class of noncoding RNAs that remain stable in the extracellular milieu, where they contribute to various physiological and pathological processes by facilitating intercellular signaling. Previous studies have reported associations between miRNAs and cardiovascular diseases (CVDs); however, the plasma miRNA signatures of CVD and its risk factors have not been fully elucidated at the population level. METHODS AND RESULTS Plasma miRNA levels were measured in 4440 FHS (Framingham Heart Study) participants. Linear regression analyses were conducted to test the cross-sectional associations of each miRNA with 8 CVD risk factors. Prospective analyses of the associations of miRNAs with new-onset obesity, hypertension, type 2 diabetes, CVD, and all-cause mortality were conducted using proportional hazards regression. Replication was carried out in 1999 RS (Rotterdam Study) participants. Pathway enrichment analyses were conducted and target genes were predicted for miRNAs associated with ≥5 risk factors in the FHS. In the FHS, 6 miRNAs (miR-193b-3p, miR-122-5p, miR-365a-3p, miR-194-5p, miR-192-5p, and miR-193a-5p) were associated with ≥5 risk factors. This miRNA signature was enriched for pathways associated with CVD and several genes annotated to these pathways were predicted targets of the identified miRNAs. Furthermore, miR-193b-3p, miR-194-5p, and miR-193a-5p were each associated with ≥2 risk factors in the RS. Prospective analysis revealed 8 miRNAs associated with all-cause mortality in the FHS. CONCLUSIONS These findings highlight associations between miRNAs and CVD risk factors that may provide valuable insights into the underlying pathogenesis of CVD.
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Affiliation(s)
- Hannah Karlin
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
| | - Meera Sooda
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
| | - Martin Larson
- Framingham Heart Study Framingham MA USA
- Department of Biostatistics Boston University School of Public Health Boston MA USA
| | - Jian Rong
- Framingham Heart Study Framingham MA USA
- Department of Neurology Boston University Chobanian & Avedisian School of Medicine Boston MA USA
| | - Tianxiao Huan
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
- Ophthalmology and Visual Sciences University of Massachusetts Medical School Worcester MA USA
| | - Michelle M J Mens
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
- Department of Social and Behavioral Sciences Harvard T.H Chan School of Public Health Boston MA USA
| | - Frank J A van Rooij
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - Paul Courchesne
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
| | - Jane E Freedman
- Department of Medicine, Division of Cardiovascular Medicine Vanderbilt University Medical Center Nashville TN USA
| | - Roby Joehanes
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
| | - Gregory P Mueller
- Department of Anatomy, Physiology, and Genetics, F. Edward Hebert School of Medicine Uniformed Services University of the Health Sciences Bethesda MD USA
| | - Maryam Kavousi
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology Erasmus MC University Medical Center Rotterdam The Netherlands
| | - Daniel Levy
- Framingham Heart Study Framingham MA USA
- Population Sciences Branch National Heart, Lung, and Blood Institute Bethesda MD USA
- Boston University School of Medicine Boston MA USA
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Cheng H, Jia Z, Li YT, Yu X, Wang JJ, Xie YJ, Hernandez J, Wang HHX. Metabolic Score for Insulin Resistance and New-Onset Type 2 Diabetes in a Middle-Aged and Older Adult Population: Nationwide Prospective Cohort Study and Implications for Primary Care. JMIR Public Health Surveill 2024; 10:e49617. [PMID: 38569189 DOI: 10.2196/49617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 02/29/2024] [Accepted: 03/29/2024] [Indexed: 04/05/2024] Open
Abstract
BACKGROUND The metabolic score for insulin resistance (METS-IR) has emerged as a noninsulin-based index for the approximation of insulin resistance (IR), yet longitudinal evidence supporting the utility of METS-IR in the primary prevention of type 2 diabetes mellitus (T2DM) remains limited. OBJECTIVE We aimed to investigate the longitudinal association between METS-IR, which combines fasting plasma glucose (FPG), lipid profiles, and anthropometrics that can be routinely obtained in resource-limited primary care settings, and the incidence of new-onset T2DM. METHODS We conducted a closed-cohort analysis of a nationwide, prospective cohort of 7583 Chinese middle-aged and older adults who were free of T2DM at baseline, sampled from 28 out of 31 provinces in China. We examined the characteristics of participants stratified by elevated blood pressure (BP) at baseline and new-onset T2DM at follow-up. We performed Cox proportional hazard regression analysis to explore associations of baseline METS-IR with incident T2DM in participants overall and in participants stratified by baseline BP. We also applied net reclassification improvement and integrated discrimination improvement to examine the incremental value of METS-IR. RESULTS During a mean follow-up period of 6.3 years, T2DM occurred in 527 participants, among which two-thirds (332/527, 62.9%; 95% CI 58.7%-67.1%) had baseline FPG<110 mg/dL. A SD unit increase in baseline METS-IR was associated with the first incidence of T2DM (adjusted hazard ratio [aHR] 1.33, 95% CI 1.22-1.45; P<.001) in all participants. We obtained similar results in participants with normal baseline BP (aHR 1.41, 95% CI 1.22-1.62; P<.001) and elevated baseline BP (aHR 1.29, 95% CI 1.16-1.44; P<.001). The predictive capability for incident T2DM was improved by adding METS-IR to FPG. In study participants with new-onset T2DM whose baseline FPG was <126 mg/dL and <110 mg/dL, 62.9% (332/527; 95% CI 60%-65.9%) and 58.1% (193/332; 95% CI 54.3%-61.9%) of participants had baseline METS-IR above the cutoff values, respectively. CONCLUSIONS METS-IR was significantly associated with new-onset T2DM, regardless of baseline BP level. Regular monitoring of METS-IR on top of routine blood glucose in clinical practice may add to the ability to enhance the early identification of primary care populations at risk for T2DM.
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Affiliation(s)
- Hui Cheng
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Zhihui Jia
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yu Ting Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
| | - Xiao Yu
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Jia Ji Wang
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Yao Jie Xie
- School of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, China (Hong Kong)
| | - Jose Hernandez
- Faculty of Medicine and Health, EDU, Digital Education Holdings Ltd, Kalkara, Malta
- Green Templeton College, University of Oxford, Oxford, United Kingdom
| | - Harry H X Wang
- School of Public Health, Sun Yat-Sen University, Guangzhou, China
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, China (Hong Kong)
- Usher Institute, Deanery of Molecular, Genetic & Population Health Sciences, The University of Edinburgh, Edinburgh, United Kingdom
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Rentroia-Pacheco B, Bellomo D, Lakeman IMM, Wakkee M, Hollestein LM, van Klaveren D. Weighted metrics are required when evaluating the performance of prediction models in nested case-control studies. BMC Med Res Methodol 2024; 24:115. [PMID: 38760688 DOI: 10.1186/s12874-024-02213-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 04/04/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Nested case-control (NCC) designs are efficient for developing and validating prediction models that use expensive or difficult-to-obtain predictors, especially when the outcome is rare. Previous research has focused on how to develop prediction models in this sampling design, but little attention has been given to model validation in this context. We therefore aimed to systematically characterize the key elements for the correct evaluation of the performance of prediction models in NCC data. METHODS We proposed how to correctly evaluate prediction models in NCC data, by adjusting performance metrics with sampling weights to account for the NCC sampling. We included in this study the C-index, threshold-based metrics, Observed-to-expected events ratio (O/E ratio), calibration slope, and decision curve analysis. We illustrated the proposed metrics with a validation of the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA version 5) in data from the population-based Rotterdam study. We compared the metrics obtained in the full cohort with those obtained in NCC datasets sampled from the Rotterdam study, with and without a matched design. RESULTS Performance metrics without weight adjustment were biased: the unweighted C-index in NCC datasets was 0.61 (0.58-0.63) for the unmatched design, while the C-index in the full cohort and the weighted C-index in the NCC datasets were similar: 0.65 (0.62-0.69) and 0.65 (0.61-0.69), respectively. The unweighted O/E ratio was 18.38 (17.67-19.06) in the NCC datasets, while it was 1.69 (1.42-1.93) in the full cohort and its weighted version in the NCC datasets was 1.68 (1.53-1.84). Similarly, weighted adjustments of threshold-based metrics and net benefit for decision curves were unbiased estimates of the corresponding metrics in the full cohort, while the corresponding unweighted metrics were biased. In the matched design, the bias of the unweighted metrics was larger, but it could also be compensated by the weight adjustment. CONCLUSIONS Nested case-control studies are an efficient solution for evaluating the performance of prediction models that use expensive or difficult-to-obtain biomarkers, especially when the outcome is rare, but the performance metrics need to be adjusted to the sampling procedure.
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Affiliation(s)
- Barbara Rentroia-Pacheco
- Department of Dermatology, Erasmus Medical Center Cancer Institute, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands.
| | | | - Inge M M Lakeman
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | - Marlies Wakkee
- Department of Dermatology, Erasmus Medical Center Cancer Institute, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands
| | - Loes M Hollestein
- Department of Dermatology, Erasmus Medical Center Cancer Institute, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands
- Department of Research, Netherlands Comprehensive Cancer Organization (IKNL), Utrecht, The Netherlands
| | - David van Klaveren
- Department of Public Health, Center for Medical Decision Making, Erasmus University Medical Center, Rotterdam, The Netherlands
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Verkaar AJCF, Winkels RM, Kampman E, Luik AI, Voortman T. Associations of dietary patterns with objective and subjective sleep duration and sleep quality in a population-based cohort study. Sleep Med 2024; 119:365-372. [PMID: 38761605 DOI: 10.1016/j.sleep.2024.05.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/26/2024] [Accepted: 05/07/2024] [Indexed: 05/20/2024]
Abstract
OBJECTIVE To examine cross-sectional and longitudinal associations of various types of dietary patterns with self-reported sleep quality and with actigraphy-estimated sleep parameters in the prospective, population-based Rotterdam Study. METHODS For each participant, scores for five different dietary patterns were derived based on food frequency questionnaires; two pre-defined scores developed to estimate adherence to the Dutch dietary guidelines and to the Mediterranean diet; and three data-driven scores indicating a prudent, unhealthy and typical Dutch diet. In 2589 participants (median age 56.9 years; 58 % female), self-rated sleep quality was assessed with the Pittsburgh Sleep Quality Index. In 533 participants, actigraphs were worn for an average of 6.8 days (SD: 0.7) to estimate total sleep time, sleep onset latency, wake after sleep onset, and sleep efficiency. Sleep parameters were measured at baseline and 3-6 years later. Multiple linear regression was used to assess cross-sectional and longitudinal associations. RESULTS No statistically significant associations between dietary patterns and total sleep time, sleep onset latency, wake after sleep onset, sleep efficiency and subjective sleep quality were observed in cross-sectional or longitudinal analyses. To illustrate, the effect estimate for sleep duration was 2.7 min per night (95 % CI -2.1, 7.5) per 5 point increase in Mediterranean diet score in the cross-sectional analyses. Furthermore, in longitudinal analyses, the effect estimate for sleep duration was -1.0 min per night (95 % CI -5.2, 3.1) per SD increase in the prudent diet. CONCLUSIONS Our results suggest that dietary patterns are not associated with sleep in this population-based cohort study. TRIAL REGISTRATION Netherlands National Trial Register and WHO International Clinical Trials Registry Platform (ICTRP; https://apps.who.int/trialsearch/) shared catalogue number NL6645/NTR6831. Registered November 13th, 2017.
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Affiliation(s)
- Auke J C F Verkaar
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Renate M Winkels
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Ellen Kampman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Trimbos Institute, The Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
| | - Trudy Voortman
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands.
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Lu H, Lary CW, Hodonsky CJ, Peyser PA, Bos D, van der Laan SW, Miller CL, Rivadeneira F, Kiel DP, Kavousi M, Medina-Gomez C. Association between BMD and coronary artery calcification: an observational and Mendelian randomization study. J Bone Miner Res 2024; 39:443-452. [PMID: 38477752 DOI: 10.1093/jbmr/zjae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 01/10/2024] [Accepted: 01/22/2024] [Indexed: 03/14/2024]
Abstract
Observational studies have reported inconsistent associations between bone mineral density (BMD) and coronary artery calcification (CAC). We examined the observational association of BMD with CAC in 2 large population-based studies and evaluated the evidence for a potential causal relation between BMD and CAC using polygenic risk scores (PRS), 1- and 2-sample Mendelian randomization (MR) approaches. Our study populations comprised 1414 individuals (mean age 69.9 yr, 52.0% women) from the Rotterdam Study and 2233 individuals (mean age 56.5 yr, 50.9% women) from the Framingham Heart Study with complete information on CAC and BMD measurements at the total body (TB-), lumbar spine (LS-), and femoral neck (FN-). We used linear regression models to evaluate the observational association between BMD and CAC. Subsequently, we compared the mean CAC across PRSBMD quintile groups at different skeletal sites. In addition, we used the 2-stage least squares regression and the inverse variance weighted (IVW) model as primary methods for 1- and 2-sample MR to test evidence for a potentially causal association. We did not observe robust associations between measured BMD levels and CAC. These results were consistent with a uniform random distribution of mean CAC across PRSBMD quintile groups (P-value > .05). Moreover, neither 1- nor 2-sample MR supported the possible causal association between BMD and CAC. Our results do not support the contention that lower BMD is (causally) associated with an increased CAC risk. These findings suggest that previously reported epidemiological associations of BMD with CAC are likely explained by unmeasured confounders or shared etiology, rather than by causal pathways underlying both osteoporosis and vascular calcification processes.
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Affiliation(s)
- Haojie Lu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Christine W Lary
- Roux Institute at Northeastern University, Portland, ME 04101, United States
| | - Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, United States
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, United States
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, CX 3584, The Netherlands
| | - Clint L Miller
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, United States
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22903, United States
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22903, United States
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA 02131, United States
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, United States
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, CA 3000, The Netherlands
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vom Hofe I, Stricker BH, Vernooij MW, Ikram MK, Ikram MA, Wolters FJ. Antidepressant use in relation to dementia risk, cognitive decline, and brain atrophy. Alzheimers Dement 2024; 20:3378-3387. [PMID: 38561253 PMCID: PMC11095425 DOI: 10.1002/alz.13807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 02/01/2024] [Accepted: 02/26/2024] [Indexed: 04/04/2024]
Abstract
INTRODUCTION We aimed to assess the effect of antidepressant use on dementia risk, cognitive decline, and brain atrophy. METHODS In this prospective cohort study, we included 5511 dementia-free participants (Mini-Mental State Examination [MMSE] > 25) of the Rotterdam study (57.5% women, mean age 70.6 years). Antidepressant use was extracted from pharmacy records from 1991 until baseline (2002-2008). Incident dementia was monitored from baseline until 2018, with repeated cognitive assessment and magnetic resonance imaging (MRI) every 4 years. RESULTS Compared to never use, any antidepressant use was not associated with dementia risk (hazard ratio [HR] 1.14, 95% confidence interval [CI] 0.92-1.41), or with accelerated cognitive decline or atrophy of white and gray matter. Compared to never use, dementia risk was somewhat higher with tricyclic antidepressants (HR 1.36, 95% CI 1.01-1.83) than with selective serotonin reuptake inhibitors (HR 1.12, 95% CI 0.81-1.54), but without dose-response relationships, accelerated cognitive decline, or atrophy in either group. DISCUSSION Antidepressant medication in adults without indication of cognitive impairment was not consistently associated with long-term adverse cognitive effects. HIGHLIGHTS Antidepressant medications are frequently prescribed, especially among older adults. In this study, antidepressant use was not associated with long-term dementia risk. Antidepressant use was not associated with cognitive decline or brain atrophy. Our results support safe prescription in an older, cognitively healthy population.
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Affiliation(s)
- Ilse vom Hofe
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Bruno H. Stricker
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of Radiology & Nuclear Medicine and Alzheimer Centre Erasmus MCErasmus University Medical CenterRotterdamThe Netherlands
| | - M. Kamran Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of NeurologyErasmus University Medical CenterRotterdamThe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
| | - Frank J. Wolters
- Department of EpidemiologyErasmus University Medical CenterRotterdamThe Netherlands
- Department of Radiology & Nuclear Medicine and Alzheimer Centre Erasmus MCErasmus University Medical CenterRotterdamThe Netherlands
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Rojas-Saunero LP, van der Willik KD, Schagen SB, Ikram MA, Swanson SA. Towards a Clearer Causal Question Underlying the Association Between Cancer and Dementia. Epidemiology 2024; 35:281-288. [PMID: 38442423 PMCID: PMC11022995 DOI: 10.1097/ede.0000000000001712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 11/30/2023] [Indexed: 03/07/2024]
Abstract
BACKGROUND Several observational studies have described an inverse association between cancer diagnosis and subsequent dementia risk. Multiple biologic mechanisms and potential biases have been proposed in attempts to explain this association. One proposed explanation is the opposite expression of Pin1 in cancer and dementia, and we use this explanation and potential drug target to illustrate the required assumptions and potential sources of bias for inferring an effect of Pin1 on dementia risk from analyses measuring cancer diagnosis as a proxy for Pin1 expression. METHODS We used data from the Rotterdam Study, a population-based cohort. We estimate the association between cancer diagnosis (as a proxy for Pin1) and subsequent dementia diagnosis using two different proxy methods and with confounding and censoring for death addressed with inverse probability weights. We estimate and compare the complements of a weighted Kaplan-Meier survival estimator at 20 years of follow-up. RESULTS Out of 3634 participants, 899 (25%) were diagnosed with cancer, of whom 53 (6%) had dementia, and 567 (63%) died. Among those without cancer, 15% (411) were diagnosed with dementia, and 667 (24%) died over follow-up. Depending on the confounding and selection bias control, and the way in which cancer was used as a time-varying proxy exposure, the risk ratio for dementia diagnosis ranged from 0.71 (95% confidence interval [CI] = 0.49, 0.95) to 1.1 (95% CI = 0.79, 1.3). CONCLUSION Being explicit about the underlying mechanism of interest is key to maximizing what we can learn from this cancer-dementia association given available or readily collected data, and to defining, detecting, and preventing potential biases.
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Affiliation(s)
- L. Paloma Rojas-Saunero
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Fielding School of Public Health, UCLA, Los Angeles, CA
| | | | - Sanne B. Schagen
- Department of Psychosocial Research and Epidemiology, Netherlands Cancer Institute, Amsterdam, the Netherlands
- Brain and Cognition, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - M. Arfan Ikram
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sonja A. Swanson
- From the Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MMB, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JBJ, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic risk score and blood pressure. RESEARCH SQUARE 2024:rs.3.rs-4243866. [PMID: 38699335 PMCID: PMC11065078 DOI: 10.21203/rs.3.rs-4243866/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. Results We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p = 0.002) and 0.50 (p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Conclusions Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Affiliation(s)
| | | | | | - Mikyeong Lee
- National Institute of Environmental Health Sciences
| | | | | | | | | | - Annette Peters
- Helmholtz Munich, German Research Center for Environmental Health
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
| | - Thomas Delerue
- Helmholtz Munich, German Research Center for Environmental Health
| | | | | | - Xiuqing Guo
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Jie Yao
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Jerome I Rotter
- Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center
| | - Yi Li
- Boston University School of Public Health
| | - Xue Liu
- Boston University School of Public Health
| | - Dan Liu
- German Center for Neurodegenerative Diseases
| | | | | | | | | | | | | | | | | | | | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald
| | | | | | | | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance
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Roa Dueñas OH, Hofman A, Luik AI, Medici M, Peeters RP, Chaker L. The Cross-sectional and Longitudinal Association Between Thyroid Function and Depression: A Population-Based Study. J Clin Endocrinol Metab 2024; 109:e1389-e1399. [PMID: 37855318 PMCID: PMC11031221 DOI: 10.1210/clinem/dgad620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/21/2023] [Accepted: 10/16/2023] [Indexed: 10/20/2023]
Abstract
CONTEXT An association of thyroid function with mood disorders has been widely suggested, but very few studies have examined this association longitudinally. OBJECTIVE We assessed the cross-sectional and longitudinal association between thyroid function and depression in a population-based cohort. METHODS A total of 9471 individuals were included in cross-sectional analyses, of whom 8366 had longitudinal data. At baseline, we assessed thyroid function using serum samples (thyrotropin [TSH], free thyroxine (FT4), and thyroid peroxidase antibodies) and depressive symptoms using the Centre for Epidemiologic Studies Depression (CES-D) scale. Incident depressive events (n = 1366) were continuously followed up with the CES-D and clinical interviews. We analyzed the cross-sectional association of thyroid function and thyroid disease with depressive symptoms using linear and logistic regression, and the longitudinal association with Cox proportional hazard models for depressive events. RESULTS Lower TSH levels and lower and higher FT4 levels were cross-sectionally associated with more depressive symptoms with a B value of -0.07 per 1 unit increase of natural log-transformed TSH (95% CI -0.11; -0.04). Furthermore, hypothyroidism was cross-sectionally associated with less depressive symptoms and hyperthyroidism with more depressive symptoms. Longitudinally, there was a U-shaped association between FT4 and incident depressive events but only in euthyroid participants. CONCLUSION We show a cross-sectional association between thyroid (dys)function with depressive symptoms, and a U-shaped association between FT4 and incident depressive events in euthyroid individuals. Our findings suggest an association of thyroid function with the risk of developing depression, albeit small. Reverse causation and additional underlying factors may also contribute to the association.
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Affiliation(s)
| | - Amy Hofman
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Trimbos Institute—The Netherlands Institute of Mental Health and Addiction, 3521 VS Utrecht, The Netherlands
| | - Marco Medici
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Robin P Peeters
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Academic Center for Thyroid Diseases, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
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10
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van Buuren MMA, Riedstra NS, van den Berg MA, Boel FDEM, Ahedi H, Arbabi V, Arden NK, Bierma-Zeinstra SMA, Boer CG, Cicuttini F, Cootes TF, Crossley K, Felson D, Gielis WP, Heerey J, Jones G, Kluzek S, Lane NE, Lindner C, Lynch JA, Van Meurs J, Mosler AB, Nelson AE, Nevitt M, Oei E, Runhaar J, Tang J, Weinans H, Agricola R. Cohort profile: Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) - an international consortium of prospective cohort studies with individual participant data on hip osteoarthritis. BMJ Open 2024; 14:e077907. [PMID: 38637130 PMCID: PMC11029301 DOI: 10.1136/bmjopen-2023-077907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 02/20/2024] [Indexed: 04/20/2024] Open
Abstract
PURPOSE Hip osteoarthritis (OA) is a major cause of pain and disability worldwide. Lack of effective therapies may reflect poor knowledge on its aetiology and risk factors, and result in the management of end-stage hip OA with costly joint replacement. The Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) consortium was established to pool and harmonise individual participant data from prospective cohort studies. The consortium aims to better understand determinants and risk factors for the development and progression of hip OA, to optimise and automate methods for (imaging) analysis, and to develop a personalised prediction model for hip OA. PARTICIPANTS World COACH aimed to include participants of prospective cohort studies with ≥200 participants, that have hip imaging data available from at least 2 time points at least 4 years apart. All individual participant data, including clinical data, imaging (data), biochemical markers, questionnaires and genetic data, were collected and pooled into a single, individual-level database. FINDINGS TO DATE World COACH currently consists of 9 cohorts, with 38 021 participants aged 18-80 years at baseline. Overall, 71% of the participants were women and mean baseline age was 65.3±8.6 years. Over 34 000 participants had baseline pelvic radiographs available, and over 22 000 had an additional pelvic radiograph after 8-12 years of follow-up. Even longer radiographic follow-up (15-25 years) is available for over 6000 of these participants. FUTURE PLANS The World COACH consortium offers unique opportunities for studies on the relationship between determinants/risk factors and the development or progression of hip OA, by using harmonised data on clinical findings, imaging, biomarkers, genetics and lifestyle. This provides a unique opportunity to develop a personalised hip OA risk prediction model and to optimise methods for imaging analysis of the hip.
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Affiliation(s)
- Michiel M A van Buuren
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Noortje S Riedstra
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Myrthe A van den Berg
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Fleur D E M Boel
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Harbeer Ahedi
- Institute for Medical Research, University of Tasmania Menzies, Hobart, Tasmania, Australia
| | - Vahid Arbabi
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Orthopaedic-Biomechanics Research Group, Department of Mechanical Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran
| | - Nigel K Arden
- Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford Nuffield, Oxford, Oxfordshire, UK
| | | | - Cindy G Boer
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Flavia Cicuttini
- Department of Epidemiology and Preventative Medicine, Monash University, Melbourne, Victoria, Australia
| | - Timothy F Cootes
- Centre for Imaging Sciences, The University of Manchester, Manchester, UK
| | - Kay Crossley
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - David Felson
- Boston University School of Medicine, Boston, Massachusetts, USA
| | - Willem Paul Gielis
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Department of Radiology, UMC Utrecht, Utrecht, Netherlands
| | - Joshua Heerey
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - Graeme Jones
- Institute for Medical Research, University of Tasmania Menzies, Hobart, Tasmania, Australia
| | - Stefan Kluzek
- Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, University of Oxford Nuffield, Oxford, Oxfordshire, UK
| | - Nancy E Lane
- Department of Medicine, University of California Davis School of Medicine, Sacramento, California, USA
| | - Claudia Lindner
- Centre for Imaging Sciences, The University of Manchester, Manchester, UK
| | - John A Lynch
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - J Van Meurs
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Andrea B Mosler
- La Trobe Sport and Exercise Medicine Research Centre, La Trobe University School of Allied Health Human Services and Sport, Melbourne, Victoria, Australia
| | - Amanda E Nelson
- Thurston Arthritis Research Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - M Nevitt
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Edwin Oei
- Department of Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Jos Runhaar
- Department of General Practice, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Jinchi Tang
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Harrie Weinans
- Department of Orthopedics, UMC Utrecht, Utrecht, Netherlands
- Department of Biomechanical Engineering, TU Delft, Delft, Zuid-Holland, Netherlands
| | - Rintje Agricola
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, Zuid-Holland, Netherlands
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11
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Bui H, Keshawarz A, Wang M, Lee M, Ratliff SM, Lin L, Birditt KS, Faul JD, Peters A, Gieger C, Delerue T, Kardia SLR, Zhao W, Guo X, Yao J, Rotter JI, Li Y, Liu X, Liu D, Tavares JF, Pehlivan G, Breteler MM, Karabegovic I, Ochoa-Rosales C, Voortman T, Ghanbari M, van Meurs JB, Nasr MK, Dörr M, Grabe HJ, London SJ, Teumer A, Waldenberger M, Weir DR, Smith JA, Levy D, Ma J, Liu C. Association analysis between an epigenetic alcohol risk score and blood pressure. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.29.24303545. [PMID: 38464320 PMCID: PMC10925472 DOI: 10.1101/2024.02.29.24303545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Epigenome-wide association studies have revealed multiple DNA methylation sites (CpGs) associated with alcohol consumption, an important lifestyle risk factor for cardiovascular diseases. Results We generated an alcohol consumption epigenetic risk score (ERS) based on previously reported 144 alcohol-associated CpGs and examined the association of the ERS with systolic blood pressure (SBP), diastolic blood pressure (DBP), and hypertension (HTN) in 3,898 Framingham Heart Study (FHS) participants. We found an association of alcohol intake with the ERS in the meta-analysis with 0.09 units higher ERS per drink consumed per day (p < 0.0001). Cross-sectional analyses in FHS revealed that a one-unit increment of the ERS was associated with 1.93 mm Hg higher SBP (p = 4.64E-07), 0.68 mm Hg higher DBP (p = 0.006), and an odds ratio of 1.78 for HTN (p < 2E-16). Meta-analysis of the cross-sectional association of the ERS with BP traits in eight independent external cohorts (n = 11,544) showed similar relationships with blood pressure levels, i.e., a one-unit increase in ERS was associated with 0.74 (p = 0.002) and 0.50 (p = 0.0006) mm Hg higher SBP and DBP, but could not confirm the association with hypertension. Longitudinal analyses in FHS (n = 3,260) and five independent external cohorts (n = 4,021) showed that the baseline ERS was not associated with a change in blood pressure over time or with incident HTN. Conclusions Our findings provide proof-of-concept that utilizing an ERS is a useful approach to capture the recent health consequences of lifestyle behaviors such as alcohol consumption.
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Affiliation(s)
- Helena Bui
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Amena Keshawarz
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Mengyao Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Kira S. Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, German
- Institute for Medical Informatics, Biometrics and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Christian Gieger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Thomas Delerue
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Xiuqing Guo
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jie Yao
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Populations, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Yi Li
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Xue Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Dan Liu
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Juliana F. Tavares
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Gökhan Pehlivan
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Monique M.B. Breteler
- Population Health Sciences, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Irma Karabegovic
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohamed Kamal Nasr
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine, Greifswald, Germany
- German Center of Neurodegenerative Diseases (DZNE), Rostock/Greifswald, site Greifswald, Germany
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Melanie Waldenberger
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Munich, German Research Center for Environmental Health, Bavaria, Germany
| | - David R. Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Jiantao Ma
- Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
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12
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Kuiper LM, Shi W, Verlouw J, Hong YS, Arp P, Puiu D, Broer L, Xie J, Newcomb C, Rich SS, Taylor KD, Rotter JI, Bader JS, Guallar E, van Meurs JB, Arking DE. Longitudinal change in mitochondrial heteroplasmy exhibits positive selection for deleterious variants. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.27.24304930. [PMID: 38585741 PMCID: PMC10996716 DOI: 10.1101/2024.03.27.24304930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
A common feature of human aging is the acquisition of somatic mutations, and mitochondria are particularly prone to mutation due to their inefficient DNA repair and close proximity to reactive oxygen species, leading to a state of mitochondrial DNA heteroplasmy1,2. Cross-sectional studies have demonstrated that detection of heteroplasmy increases with participant age3, a phenomenon that has been attributed to genetic drift4-7. In this first large-scale longitudinal study, we measured heteroplasmy in two prospective cohorts (combined n=1405) at two timepoints (mean time between visits, 8.6 years), demonstrating that deleterious heteroplasmies were more likely to increase in variant allele fraction (VAF). We further demonstrated that increase in VAF was associated with increased risk of overall mortality. These results challenge the claim that somatic mtDNA mutations arise mainly due to genetic drift, instead demonstrating positive selection for predicted deleterious mutations at the cellular level, despite an negative impact on overall mortality.
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Affiliation(s)
- Lieke M. Kuiper
- Genetic Laboratory, Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Wen Shi
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joost Verlouw
- Genetic Laboratory, Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Yun Soo Hong
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pascal Arp
- Genetic Laboratory, Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Daniela Puiu
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Linda Broer
- Genetic Laboratory, Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Jiaqi Xie
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Charles Newcomb
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Joel S. Bader
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Eliseo Guallar
- Department of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health. Baltimore, MD, USA
| | - Joyce B.J. van Meurs
- Genetic Laboratory, Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands
- Department of Orthopeadics & Sports Medicine, Erasmus MC, Rotterdam, the Netherlands
| | - Dan E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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13
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Melgarejo JD, Gurel K, Compton CR, Liu M, Guzman V, Assuras S, Levin BE, Elkind MSV, Ikram MK, Kavousi M, Ikram MA, Wright C, Crivello F, Laurent A, Tzourio C, Vernooij MW, Rundek T, Zhang Z, Bos D, Gutierrez J. Brain artery diameters and risk of dementia and stroke. Alzheimers Dement 2024; 20:2497-2507. [PMID: 38332543 PMCID: PMC11032539 DOI: 10.1002/alz.13712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 12/22/2023] [Accepted: 12/27/2023] [Indexed: 02/10/2024]
Abstract
INTRODUCTION We tested the association of brain artery diameters with dementia and stroke risk in three distinct population-based studies using conventional T2-weighted brain magnetic resonance imaging (MRI) images. METHODS We included 8420 adults > 40 years old from three longitudinal population-based studies with brain MRI scans. We estimated and meta-analyzed the hazard ratios (HRs) of the brain and carotids and basilar diameters associated with dementia and stroke. RESULT Overall and carotid artery diameters > 95th percentile increased the risk for dementia by 1.74 (95% confidence interval [CI], 1.13-2.68) and 1.48 (95% CI, 1.12-1.96) fold, respectively. For stroke, meta-analyses yielded HRs of 1.59 (95% CI, 1.04-2.42) for overall arteries and 2.11 (95% CI, 1.45-3.08) for basilar artery diameters > 95th percentile. DISCUSSION Individuals with dilated brain arteries are at higher risk for dementia and stroke, across distinct populations. Our findings underline the potential value of T2-weighted brain MRI-based brain diameter assessment in estimating the risk of dementia and stroke.
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Affiliation(s)
- Jesus D. Melgarejo
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Institute of NeuroscienceUniversity of Texas Rio Grande ValleyHarlingenTexasUSA
| | - Kursat Gurel
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Cassidy Rose Compton
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Minghua Liu
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Vanessa Guzman
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Stephanie Assuras
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
| | - Bonnie E. Levin
- Department of NeurologyMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Mitchell S. V. Elkind
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
- Department of EpidemiologyMailman School of Public Health Columbia UniversityNew YorkNew YorkUSA
| | - M. Kamran Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of NeurologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Maryam Kavousi
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Clinton Wright
- National Institute of Neurological Disorders and StrokeNational Institutes of HealthBethesdaMarylandUSA
| | - Fabrice Crivello
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Alexandre Laurent
- Institute of Neurodegenerative DiseasesUMR5293, Neurofunctional Imaging GroupBordeauxFrance
| | - Christophe Tzourio
- Bordeaux Population Health Research CenterInserm, University BordeauxBordeauxFrance
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Tatjana Rundek
- Department of Public Health Sciences and Evelyn F. McKnight Brain InstituteMiller School of MedicineUniversity of MiamiMiamiFloridaUSA
| | - Zhen‐Yu Zhang
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
| | - Daniel Bos
- Department of EpidemiologyErasmus MC University Medical CenterRotterdamthe Netherlands
- Studies Coordinating CentreResearch Unit Hypertension and Cardiovascular EpidemiologyKU Leuven Department of Cardiovascular SciencesUniversity of LeuvenLeuvenBelgium
- Department of Radiology and Nuclear MedicineErasmus MC University Medical CenterRotterdamthe Netherlands
| | - Jose Gutierrez
- Department of NeurologyVagelos College of Physicians and SurgeonsColumbia UniversityNew YorkNew YorkUSA
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14
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van Kleef LA, Francque SM, Prieto-Ortiz JE, Sonneveld MJ, Sanchez-Luque CB, Prieto-Ortiz RG, Kwanten WJ, Vonghia L, Verrijken A, De Block C, Gadi Z, Janssen HLA, de Knegt RJ, Brouwer WP. Metabolic Dysfunction-Associated Fibrosis 5 (MAF-5) Score Predicts Liver Fibrosis Risk and Outcome in the General Population With Metabolic Dysfunction. Gastroenterology 2024:S0016-5085(24)00300-7. [PMID: 38513745 DOI: 10.1053/j.gastro.2024.03.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND & AIMS There is an unmet need for noninvasive tests to improve case-finding and aid primary care professionals in referring patients at high risk of liver disease. METHODS A metabolic dysfunction-associated fibrosis (MAF-5) score was developed and externally validated in a total of 21,797 individuals with metabolic dysfunction in population-based (National Health and Nutrition Examination Survey 2017-2020, National Health and Nutrition Examination Survey III, and Rotterdam Study) and hospital-based (from Antwerp and Bogota) cohorts. Fibrosis was defined as liver stiffness ≥8.0 kPa. Diagnostic accuracy was compared with FIB-4, nonalcoholic fatty liver disease fibrosis score (NFS), LiverRisk score and steatosis-associated fibrosis estimator (SAFE). MAF-5 was externally validated with liver stiffness measurement ≥8.0 kPa, with shear-wave elastography ≥7.5 kPa, and biopsy-proven steatotic liver disease according to Metavir and Nonalcoholic Steatohepatitis Clinical Research Network scores, and was tested for prognostic performance (all-cause mortality). RESULTS The MAF-5 score comprised waist circumference, body mass index (calculated as kg / m2), diabetes, aspartate aminotransferase, and platelets. With this score, 60.9% was predicted at low, 14.1% at intermediate, and 24.9% at high risk of fibrosis. The observed prevalence was 3.3%, 7.9%, and 28.1%, respectively. The area under the receiver operator curve of MAF-5 (0.81) was significantly higher than FIB-4 (0.61), and outperformed the FIB-4 among young people (negative predictive value [NPV], 99%; area under the curve [AUC], 0.86 vs NPV, 94%; AUC, 0.51) and older adults (NPV, 94%; AUC, 0.75 vs NPV, 88%; AUC, 0.55). MAF-5 showed excellent performance to detect liver stiffness measurement ≥12 kPa (AUC, 0.86 training; AUC, 0.85 validation) and good performance in detecting liver stiffness and biopsy-proven liver fibrosis among the external validation cohorts. MAF-5 score >1 was associated with increased risk of all-cause mortality in (un)adjusted models (adjusted hazard ratio, 1.59; 95% CI, 1.47-1.73). CONCLUSIONS The MAF-5 score is a validated, age-independent, inexpensive referral tool to identify individuals at high risk of liver fibrosis and all-cause mortality in primary care populations, using simple variables.
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Affiliation(s)
- Laurens A van Kleef
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Sven M Francque
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | | | - Milan J Sonneveld
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | | | | | - Wilhelmus J Kwanten
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - Luisa Vonghia
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - An Verrijken
- Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium; Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | - Christophe De Block
- Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium; Department of Endocrinology, Diabetology and Metabolism, Antwerp University Hospital, Antwerp, Belgium
| | - Zouhir Gadi
- Department of Gastroenterology and Hepatology, Antwerp University Hospital, Antwerp, Belgium; Laboratory of Experimental Medicine and Paediatrics, University of Antwerp, Antwerp, Belgium
| | - Harry L A Janssen
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands; Toronto Centre for Liver Disease, Toronto General Hospital, University Health Network, Canada
| | - Robert J de Knegt
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands
| | - Willem Pieter Brouwer
- Department of Gastroenterology and Hepatology, Erasmus Medical Center, University Medical Center, Rotterdam, The Netherlands.
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Bosman A, Campos-Obando N, de Keyser CE, Stricker BH, Zillikens MC. Diuretic Use and Serum Phosphate: Rotterdam Study and UK Biobank. J Endocr Soc 2024; 8:bvae057. [PMID: 38572420 PMCID: PMC10989188 DOI: 10.1210/jendso/bvae057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Indexed: 04/05/2024] Open
Abstract
Purpose Hypophosphatemia (serum phosphate < 0.80 mmol/L) leads to musculoskeletal complaints. The most common drugs linked to hypophosphatemia are thiazide and loop diuretics, but studies in the general population are lacking. Our aim was to study associations between diuretic use and serum phosphate in the Rotterdam Study (RS), a population-based cohort study, with replication in UK Biobank (UKBB). Methods Associations between thiazide and loop diuretic use and serum phosphate and odds of hypophosphatemia were analyzed with cross-sectional multivariate linear and logistic regression in participants without chronic kidney disease in the RS and UKBB. Analyses were adjusted for age, sex, and body mass index (BMI) and pooled in 3 RS cohorts with further adjustment for cohort and serum potassium, which was not available in UKBB. Results Thiazide diuretics were associated with lower serum phosphate in both sexes. This association lost significance in RS females after adjustment for BMI and in males after adjustment for serum potassium. Thiazide diuretics increased odds of hypophosphatemia in females in both cohorts and in males in UKBB only. Loop diuretics were associated with lower serum phosphate in females but not males. Adjustment for BMI attenuated these associations. Associations between loop diuretics and increased odds of hypophosphatemia in females lost significance after BMI adjustment. Conclusion Thiazides, but not loop diuretics, and increased BMI and decreased serum potassium should be considered as contributing factors in subjects with hypophosphatemia. Further studies are needed to replicate the findings and elucidate the potential role of hypokalemia as a mediator of this effect.
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Affiliation(s)
- Ariadne Bosman
- Department of Internal Medicine, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Natalia Campos-Obando
- Department of Internal Medicine, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Catherine E de Keyser
- Department of Internal Medicine, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, University Medical Center, 3015 GD Rotterdam, The Netherlands
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16
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Ho C, Ha NT, Youens D, Abhayaratna WP, Bulsara MK, Hughes JD, Mishra G, Pearson SA, Preen DB, Reid CM, Ruiter R, Saunders CM, Stricker BH, van Rooij FJA, Wright C, Moorin R. Association between long-term use of calcium channel blockers (CCB) and the risk of breast cancer: a retrospective longitudinal observational study protocol. BMJ Open 2024; 14:e080982. [PMID: 38458796 DOI: 10.1136/bmjopen-2023-080982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/10/2024] Open
Abstract
INTRODUCTION Calcium channel blockers (CCB), a commonly prescribed antihypertensive (AHT) medicine, may be associated with increased risk of breast cancer. The proposed study aims to examine whether long-term CCB use is associated with the development of breast cancer and to characterise the dose-response nature of any identified association, to inform future hypertension management. METHODS AND ANALYSIS The study will use data from 2 of Australia's largest cohort studies; the Australian Longitudinal Study on Women's Health, and the 45 and Up Study, combined with the Rotterdam Study. Eligible women will be those with diagnosed hypertension, no history of breast cancer and no prior CCB use at start of follow-up (2004-2009). Cumulative dose-duration exposure to CCB and other AHT medicines will be captured at the earliest date of: the outcome (a diagnosis of invasive breast cancer); a competing risk event (eg, bilateral mastectomy without a diagnosis of breast cancer, death prior to any diagnosis of breast cancer) or end of follow-up (censoring event). Fine and Gray competing risks regression will be used to assess the association between CCB use and development of breast cancer using a generalised propensity score to adjust for baseline covariates. Time-varying covariates related to interaction with health services will also be included in the model. Data will be harmonised across cohorts to achieve identical protocols and a two-step random effects individual patient-level meta-analysis will be used. ETHICS AND DISSEMINATION Ethical approval was obtained from the following Human research Ethics Committees: Curtin University (ref No. HRE2022-0335), NSW Population and Health Services Research Ethics Committee (2022/ETH01392/2022.31), ACT Research Ethics and Governance Office approval under National Mutual Acceptance for multijurisdictional data linkage research (2022.STE.00208). Results of the proposed study will be published in high-impact journals and presented at key scientific meetings. TRIAL REGISTRATION NUMBER NCT05972785.
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Affiliation(s)
- Chau Ho
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Ninh Thi Ha
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - David Youens
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
- Cardiovascular Epidemiology Research Centre, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Walter P Abhayaratna
- Canberra Health Services, Canberra, Australian Capital Territory, Australia
- School of Medicine and Psychology, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Max K Bulsara
- Institute for Health Research, The University of Notre Dame Australia, Fremantle, Western Australia, Australia
| | - Jeffery David Hughes
- Curtin Medical School, Curtin University, Perth, Western Australia, Australia
- PainChek, Sydney, New South Wales, Australia
| | - Gita Mishra
- School of Public Health, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Sallie-Anne Pearson
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
- The NHMRC Medicines Intelligence Centre of Research Excellence, Sydney, New South Wales, Australia
| | - David B Preen
- The NHMRC Medicines Intelligence Centre of Research Excellence, Sydney, New South Wales, Australia
- School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
| | - Christopher M Reid
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
| | - Rikje Ruiter
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, Zuid-Holland, Netherlands
- Department of Internal Medicine, Maasstad Hospital, Rotterdam, Zuid-Holland, Netherlands
| | - Christobel M Saunders
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia
- The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Bruno H Stricker
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, Zuid-Holland, Netherlands
| | - Cameron Wright
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
- Medical School, The University of Western Australia, Perth, Western Australia, Australia
- Fiona Stanley Hospital, Perth, Western Australia, Australia
- School of Medicine, University of Tasmania, Hobart, Tasmania, Australia
| | - Rachael Moorin
- School of Population Health, Faculty of Health Sciences, Curtin University, Perth, Western Australia, Australia
- School of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia
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17
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Benz E, Pinel A, Guillet C, Capel F, Pereira B, De Antonio M, Pouget M, Cruz-Jentoft AJ, Eglseer D, Topinkova E, Barazzoni R, Rivadeneira F, Ikram MA, Steur M, Voortman T, Schoufour JD, Weijs PJM, Boirie Y. Sarcopenia and Sarcopenic Obesity and Mortality Among Older People. JAMA Netw Open 2024; 7:e243604. [PMID: 38526491 DOI: 10.1001/jamanetworkopen.2024.3604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/26/2024] Open
Abstract
Importance Sarcopenia and obesity are 2 global concerns associated with adverse health outcomes in older people. Evidence on the population-based prevalence of the combination of sarcopenia with obesity (sarcopenic obesity [SO]) and its association with mortality are still limited. Objective To investigate the prevalence of sarcopenia and SO and their association with all-cause mortality. Design, Setting, and Participants This large-scale, population-based cohort study assessed participants from the Rotterdam Study from March 1, 2009, to June 1, 2014. Associations of sarcopenia and SO with all-cause mortality were studied using Kaplan-Meier curves, Cox proportional hazards regression, and accelerated failure time models fitted for sex, age, and body mass index (BMI). Data analysis was performed from January 1 to April 1, 2023. Exposures The prevalence of sarcopenia and SO, measured based on handgrip strength and body composition (BC) (dual-energy x-ray absorptiometry) as recommended by current consensus criteria, with probable sarcopenia defined as having low handgrip strength and confirmed sarcopenia and SO defined as altered BC (high fat percentage and/or low appendicular skeletal muscle index) in addition to low handgrip strength. Main Outcome and Measure The primary outcome was all-cause mortality, collected using linked mortality data from general practitioners and the central municipal records, until October 2022. Results In the total population of 5888 participants (mean [SD] age, 69.5 [9.1] years; mean [SD] BMI, 27.5 [4.3]; 3343 [56.8%] female), 653 (11.1%; 95% CI, 10.3%-11.9%) had probable sarcopenia and 127 (2.2%; 95% CI, 1.8%-2.6%) had confirmed sarcopenia. Sarcopenic obesity with 1 altered component of BC was present in 295 participants (5.0%; 95% CI, 4.4%-5.6%) and with 2 altered components in 44 participants (0.8%; 95% CI, 0.6%-1.0%). An increased risk of all-cause mortality was observed in participants with probable sarcopenia (hazard ratio [HR], 1.29; 95% CI, 1.14-1.47) and confirmed sarcopenia (HR, 1.93; 95% CI, 1.53-2.43). Participants with SO plus 1 altered component of BC (HR, 1.94; 95% CI, 1.60-2.33]) or 2 altered components of BC (HR, 2.84; 95% CI, 1.97-4.11) had a higher risk of mortality than those without SO. Similar results for SO were obtained for participants with a BMI of 27 or greater. Conclusions and Relevance In this study, sarcopenia and SO were found to be prevalent phenotypes in older people and were associated with all-cause mortality. Additional alterations of BC amplified this risk independently of age, sex, and BMI. The use of low muscle strength as a first step of both diagnoses may allow for early identification of individuals at risk for premature mortality.
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Affiliation(s)
- Elizabeth Benz
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexandre Pinel
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Christelle Guillet
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Frederic Capel
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
| | - Bruno Pereira
- Unit of Biostatistics, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Marie De Antonio
- Unit of Biostatistics, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | - Melanie Pouget
- Department of Clinical Nutrition, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
| | | | - Doris Eglseer
- Institute of Nursing Science, Medical University of Graz, Graz, Austria
| | - Eva Topinkova
- Department of Geriatrics, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Rocco Barazzoni
- Department of Medical, Technological and Translational Sciences, University of Trieste, Ospedale di Cattinara, Trieste, Italy
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marinka Steur
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Josje D Schoufour
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
| | - Peter J M Weijs
- Faculty of Sports and Nutrition, Centre of Expertise Urban Vitality, Amsterdam University of Applied Sciences, Amsterdam, the Netherlands
- Department of Nutrition and Dietetics, Amsterdam University Medical Centers, Amsterdam Public Health Institute, Vrije Universiteit, Amsterdam, the Netherlands
| | - Yves Boirie
- Human Nutrition Unit, Clermont Auvergne University, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Centre de Recherche en Nutrition Humaine, Clermont-Ferrand, France
- Department of Clinical Nutrition, Clermont-Ferrand University Hospital, Clermont-Ferrand, France
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18
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Konigsberg IR, Vu T, Liu W, Litkowski EM, Pratte KA, Vargas LB, Gilmore N, Abdel-Hafiz M, Manichaikul AW, Cho MH, Hersh CP, DeMeo DL, Banaei-Kashani F, Bowler RP, Lange LA, Kechris KJ. Proteomic Networks and Related Genetic Variants Associated with Smoking and Chronic Obstructive Pulmonary Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.26.24303069. [PMID: 38464285 PMCID: PMC10925350 DOI: 10.1101/2024.02.26.24303069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Studies have identified individual blood biomarkers associated with chronic obstructive pulmonary disease (COPD) and related phenotypes. However, complex diseases such as COPD typically involve changes in multiple molecules with interconnections that may not be captured when considering single molecular features. Methods Leveraging proteomic data from 3,173 COPDGene Non-Hispanic White (NHW) and African American (AA) participants, we applied sparse multiple canonical correlation network analysis (SmCCNet) to 4,776 proteins assayed on the SomaScan v4.0 platform to derive sparse networks of proteins associated with current vs. former smoking status, airflow obstruction, and emphysema quantitated from high-resolution computed tomography scans. We then used NetSHy, a dimension reduction technique leveraging network topology, to produce summary scores of each proteomic network, referred to as NetSHy scores. We next performed genome-wide association study (GWAS) to identify variants associated with the NetSHy scores, or network quantitative trait loci (nQTLs). Finally, we evaluated the replicability of the networks in an independent cohort, SPIROMICS. Results We identified networks of 13 to 104 proteins for each phenotype and exposure in NHW and AA, and the derived NetSHy scores significantly associated with the variable of interests. Networks included known (sRAGE, ALPP, MIP1) and novel molecules (CA10, CPB1, HIS3, PXDN) and interactions involved in COPD pathogenesis. We observed 7 nQTL loci associated with NetSHy scores, 4 of which remained after conditional analysis. Networks for smoking status and emphysema, but not airflow obstruction, demonstrated a high degree of replicability across race groups and cohorts. Conclusions In this work, we apply state-of-the-art molecular network generation and summarization approaches to proteomic data from COPDGene participants to uncover protein networks associated with COPD phenotypes. We further identify genetic associations with networks. This work discovers protein networks containing known and novel proteins and protein interactions associated with clinically relevant COPD phenotypes across race groups and cohorts.
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Affiliation(s)
- Iain R Konigsberg
- Department of Biomedical Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Thao Vu
- Department of Biostatistics and Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Weixuan Liu
- Department of Biostatistics and Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Elizabeth M Litkowski
- Department of Biomedical Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
- Department of Medicine, University of Michigan, Ann Arbor, MI
| | | | - Luciana B Vargas
- Department of Biomedical Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Niles Gilmore
- Department of Biomedical Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Mohamed Abdel-Hafiz
- Department of Computer Science and Engineering, University of Colorado - Denver, Denver, CO
| | - Ani W Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Michael H Cho
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Craig P Hersh
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Dawn L DeMeo
- Channing Division of Network Medicine and Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | | | - Leslie A Lange
- Department of Biomedical Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
| | - Katerina J Kechris
- Department of Biostatistics and Informatics, University of Colorado - Anschutz Medical Campus, Aurora, CO
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19
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Geurts F, Chaker L, van der Burgh AC, Cronin‐Fenton D, Fenton RA, Hoorn EJ. Urinary Prostaglandin E2 Excretion and the Risk of Cardiovascular and Kidney Disease. J Am Heart Assoc 2024; 13:e032835. [PMID: 38362883 PMCID: PMC11010119 DOI: 10.1161/jaha.123.032835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Abstract
BACKGROUND Inhibition of prostaglandin synthesis by nonsteroidal anti-inflammatory drugs is associated with cardiovascular mortality and kidney disease. This study hypothesizes that urinary prostaglandin E2 (PGE2) and PGE2 metabolite (PGEM) excretions are markers of cardiovascular and kidney health, because they reflect both systemic and kidney-derived PGE2 production. METHODS AND RESULTS PGE2 and PGEM were measured in spot urine samples from 2291 participants (≥55 years old) of the population-based Rotterdam Study. Urinary PGE2 and PGEM excretions were analyzed using linear regression analyses to identify cross-sectional associations with cardiovascular risk factors and baseline estimated glomerular filtration rate (eGFR). Longitudinal associations with cardiovascular mortality and kidney outcomes (eGFR <60 or <45 mL/min per 1.73 m2 and the composite outcome 40% eGFR loss or kidney failure) were assessed with Cox regression. Urinary PGE2 and PGEM excretions were higher with increasing age, lower eGFR, smoking, diabetes, and albuminuria. A 2-fold higher urinary PGE2 and PGEM excretion was associated with a higher risk of cardiovascular mortality (28 825 patient-years; 160 events; PGE2 hazard ratio [HR], 1.27, [95% CI, 1.06-1.54]; PGEM HR, 1.36 [95% CI, 1.10-1.67]). Higher PGE2 excretions were also associated with a higher risk of incident eGFR <60 mL/min per 1.73 m2 (31 530 person-years; 691 events; HR, 1.13 [95% CI, 1.02-1.25]) with similar HRs for the other kidney outcomes. CONCLUSIONS Urinary PGE2 and PGEM excretions are novel markers for the presence and progression of cardiovascular and kidney disease. Future studies should address whether these associations are causal and can be targeted to improve cardiovascular and kidney outcomes.
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Affiliation(s)
- Frank Geurts
- Department of Internal Medicine, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
- Department of Epidemiology, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Layal Chaker
- Department of Internal Medicine, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
- Department of Epidemiology, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Anna C. van der Burgh
- Department of Epidemiology, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
| | - Deirdre Cronin‐Fenton
- Department of Clinical Epidemiology, Department of Clinical MedicineAarhus University Hospital and Aarhus UniversityAarhusDenmark
| | | | - Ewout J. Hoorn
- Department of Internal Medicine, Erasmus Medical CenterUniversity Medical Center RotterdamRotterdamThe Netherlands
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20
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Leonard S, Karabegović I, Ikram MA, Ahmad S, Ghanbari M. Plasma circulating microRNAs associated with blood-based immune markers: a population-based study. Clin Exp Immunol 2024; 215:251-260. [PMID: 37950349 PMCID: PMC10876108 DOI: 10.1093/cei/uxad126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 10/04/2023] [Accepted: 11/07/2023] [Indexed: 11/12/2023] Open
Abstract
MicroRNAs (miRNAs) are small non-coding RNAs that post-transcriptionally regulate gene expression and different immune-related pathways. There is a great interest in identifying miRNAs involved in immune cell development and function to elucidate the biological mechanisms underlying the immune system, its regulation, and disease. In this study, we aimed to investigate the association of circulating miRNAs with blood cell compositions and blood-based immune markers. Circulating levels of 2083 miRNAs were measured by RNA-sequencing in plasma samples of 1999 participants from the population-based Rotterdam Study collected between 2002 and 2005. Full blood count measurements were performed for absolute granulocyte, platelet, lymphocyte, monocyte, white, and red blood cell counts. Multivariate analyses were performed to test the association of miRNAs with blood cell compositions and immune markers. We evaluated the overlap between predicted target genes of candidate miRNAs associated with immune markers and genes determining the blood immune response markers. First, principal component regression analysis showed that plasma levels of circulating miRNAs were significantly associated with red blood cell, granulocyte, and lymphocyte counts. Second, the cross-sectional analysis identified 210 miRNAs significantly associated (P < 2.82 × 10-5) with neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index. Further genetic look-ups showed that target genes of seven identified miRNAs (miR-1233-3p, miR-149-3p, miR-150-5p, miR-342-3p, miR-34b-3p, miR-4644, and miR-7106-5p) were also previously linked to NLR and PLR markers. Collectively, our study suggests several circulating miRNAs that regulate the innate and adaptive immune systems, providing insight into the pathogenesis of miRNAs in immune-related diseases and paving the way for future clinical applications.
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Affiliation(s)
- Samantha Leonard
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Irma Karabegović
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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21
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Delfin C, Dragan I, Kuznetsov D, Tajes JF, Smit F, Coral DE, Farzaneh A, Haugg A, Hungele A, Niknejad A, Hall C, Jacobs D, Marek D, Fraser DP, Thuillier D, Ahmadizar F, Mehl F, Pattou F, Burdet F, Hawkes G, Arts ICW, Blanch J, Van Soest J, Fernández-Real JM, Boehl J, Fink K, van Greevenbroek MMJ, Kavousi M, Minten M, Prinz N, Ipsen N, Franks PW, Ramos R, Holl RW, Horban S, Duarte-Salles T, Tran VDT, Raverdy V, Leal Y, Lenart A, Pearson E, Sparsø T, Giordano GN, Ioannidis V, Soh K, Frayling TM, Le Roux CW, Ibberson M. A Federated Database for Obesity Research: An IMI-SOPHIA Study. Life (Basel) 2024; 14:262. [PMID: 38398771 PMCID: PMC10890572 DOI: 10.3390/life14020262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum shift aiming to provide better tools for the stratification of people with obesity according to disease risk and treatment response. One of the challenges to achieving these goals is that many clinical cohorts are siloed, limiting the potential of combined data for biomarker discovery. In SOPHIA, we have addressed this challenge by setting up a federated database building on open-source DataSHIELD technology. The database currently federates 16 cohorts that are accessible via a central gateway. The database is multi-modal, including research studies, clinical trials, and routine health data, and is accessed using the R statistical programming environment where statistical and machine learning analyses can be performed at a distance without any disclosure of patient-level data. We demonstrate the use of the database by providing a proof-of-concept analysis, performing a federated linear model of BMI and systolic blood pressure, pooling all data from 16 studies virtually without any analyst seeing individual patient-level data. This analysis provided similar point estimates compared to a meta-analysis of the 16 individual studies. Our approach provides a benchmark for reproducible, safe federated analyses across multiple study types provided by multiple stakeholders.
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Affiliation(s)
| | - Iulian Dragan
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Dmitry Kuznetsov
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Juan Fernandez Tajes
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre (CRC), Lund University, Jan Waldenströmsgata 35, SE-20502 Malmö, Sweden
| | - Femke Smit
- Maastricht Center for Systems Biology, Faculty of Science and Engineering, Maastricht University, Paul Henri Spaaklaan 1, 6229 EN Maastricht, The Netherlands
| | - Daniel E. Coral
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre (CRC), Lund University, Jan Waldenströmsgata 35, SE-20502 Malmö, Sweden
| | - Ali Farzaneh
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - André Haugg
- Global Biostatistics & Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, 88400 Biberach, Germany
| | - Andreas Hungele
- Institute of Epidemiology and Medical Biometry, CAQM, University of Ulm, 89081 Ulm, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Anne Niknejad
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Christopher Hall
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee DD1 4HN, UK
| | - Daan Jacobs
- Nederlandse Obesitas Kliniek, Huis Ter Heide, 3712 BA Utrecht, The Netherlands
| | - Diana Marek
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Diane P. Fraser
- University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Dorothee Thuillier
- Univ Lille, Inserm, CHU Lille, Pasteur Institute Lille, U1190 Translational Research for Diabetes, European Genomic Institute of Diabetes, 59000 Lille, France; (D.T.)
| | - Fariba Ahmadizar
- Data Science and Biostatistics Department, Julius Global Health, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands
| | - Florence Mehl
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Francois Pattou
- Univ Lille, Inserm, CHU Lille, Pasteur Institute Lille, U1190 Translational Research for Diabetes, European Genomic Institute of Diabetes, 59000 Lille, France; (D.T.)
| | - Frederic Burdet
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Gareth Hawkes
- University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
| | - Ilja C. W. Arts
- Maastricht Center for Systems Biology, Faculty of Science and Engineering, Maastricht University, Paul Henri Spaaklaan 1, 6229 EN Maastricht, The Netherlands
| | - Jordi Blanch
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
- ISV-Girona Research Group, Research Unit in Primary Care, Primary Care Services, Catalan Institute of Health (ICS), 08908 Barcelona, Spain
| | - Johan Van Soest
- Brightlands Institute for Smart Society (BISS), Faculty of Science and Engineering, Maastricht University, 6229 EN Maastricht, The Netherlands
- Department of Radiation Oncology (Maastro), GROW-School for Oncology and Reproduction, Maastricht University Medical Center, 6229 EN Maastricht, The Netherlands
| | - José-Manuel Fernández-Real
- Nutrition, Eumetabolism and Health Group, Institut d’Investigació Biomèdica de Girona (IDIBGI-CERCA), Av. França 30, 17007 Girona, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, 17003 Girona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Av. França, s/n, 17007 Girona, Spain
| | - Juergen Boehl
- Global Biostatistics & Data Sciences, Boehringer Ingelheim Pharma GmbH & Co. KG, 88400 Biberach, Germany
| | - Katharina Fink
- Institute of Epidemiology and Medical Biometry, CAQM, University of Ulm, 89081 Ulm, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Marleen M. J. van Greevenbroek
- Department of Internal Medicine and CARIM School of Cardiovascular Diseases, Maastricht University, 6229 EN Maastricht, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands
| | - Michiel Minten
- Maastricht Center for Systems Biology, Faculty of Science and Engineering, Maastricht University, Paul Henri Spaaklaan 1, 6229 EN Maastricht, The Netherlands
| | - Nicole Prinz
- Institute of Epidemiology and Medical Biometry, CAQM, University of Ulm, 89081 Ulm, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | | | - Paul W. Franks
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre (CRC), Lund University, Jan Waldenströmsgata 35, SE-20502 Malmö, Sweden
| | - Rafael Ramos
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, 17003 Girona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
- Research in Vascular Health Group, Institut d’Investigació Biomèdica de Girona (IDIBGI-CERCA), Parc Hospitalari Martí i Julià, Edifici M2, 17190 Salt, Spain
| | - Reinhard W. Holl
- Institute of Epidemiology and Medical Biometry, CAQM, University of Ulm, 89081 Ulm, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Scott Horban
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee DD1 4HN, UK
| | - Talita Duarte-Salles
- Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 08007 Barcelona, Spain
- Department of Medical Informatics, Erasmus University Medical Center, 3000 CA Rotterdam, The Netherlands
| | - Van Du T. Tran
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Violeta Raverdy
- Univ Lille, Inserm, CHU Lille, Pasteur Institute Lille, U1190 Translational Research for Diabetes, European Genomic Institute of Diabetes, 59000 Lille, France; (D.T.)
| | - Yenny Leal
- Nutrition, Eumetabolism and Health Group, Institut d’Investigació Biomèdica de Girona (IDIBGI-CERCA), Av. França 30, 17007 Girona, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, 17003 Girona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain
- Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Av. França, s/n, 17007 Girona, Spain
| | | | - Ewan Pearson
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee DD1 4HN, UK
| | | | - Giuseppe N. Giordano
- Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre (CRC), Lund University, Jan Waldenströmsgata 35, SE-20502 Malmö, Sweden
| | - Vassilios Ioannidis
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
| | - Keng Soh
- Novo Nordisk A/S, 2860 Søborg, Denmark
| | - Timothy M. Frayling
- University of Exeter Medical School, University of Exeter, Exeter EX1 2LU, UK
- Department of Genetic Medicine and Development, Faculty of Medicine, University of Geneva, 1 Rue Michel-Servet, CH-1211 Geneva, Switzerland
| | - Carel W. Le Roux
- Diabetes Complications Research Centre, University College Dublin, D04 V1W8 Dublin, Ireland
| | - Mark Ibberson
- Vital-IT Group, SIB Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland
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22
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Lu T, Lahousse L, Wijnant S, Chen J, Brusselle GG, van Hoek M, Zillikens MC. The AGE-RAGE axis associates with chronic pulmonary diseases and smoking in the Rotterdam study. Respir Res 2024; 25:85. [PMID: 38336742 PMCID: PMC10858545 DOI: 10.1186/s12931-024-02698-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 01/22/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) and asthma associate with high morbidity and mortality. High levels of advanced glycation end products (AGEs) were found in tissue and plasma of COPD patients but their role in COPD and asthma is unclear. METHODS In the Rotterdam Study (n = 2577), AGEs (by skin autofluorescence (SAF)), FEV1 and lung diffusing capacity (DLCOc and DLCOc /alveolar volume [VA]) were measured. Associations of SAF with asthma, COPD, GOLD stage, and lung function were analyzed using logistic and linear regression adjusted for covariates, followed by interaction and stratification analyses. sRAGE and EN-RAGE associations with COPD prevalence were analyzed by logistic regression. RESULTS SAF associated with COPD prevalence (OR = 1.299 [1.060, 1.591]) but not when adjusted for smoking (OR = 1.106 [0.89, 1.363]). SAF associated with FEV1% predicted (β=-3.384 [-4.877, -1.892]), DLCOc (β=-0.212 [-0.327, -0.097]) and GOLD stage (OR = 4.073, p = 0.001, stage 3&4 versus 1). Stratified, the association between SAF and FEV1%predicted was stronger in COPD (β=-6.362 [-9.055, -3.670]) than non-COPD (β=-1.712 [-3.306, -0.118]). Association of SAF with DLCOc and DLCOc/VA were confined to COPD (β=-0.550 [-0.909, -0.191]; β=-0.065 [-0.117, -0.014] respectively). SAF interacted with former smoking and COPD prevalence for associations with lung function. Lower sRAGE and higher EN-RAGE associated with COPD prevalence (OR = 0.575[0.354, 0.931]; OR = 1.778[1.142, 2.768], respectively). CONCLUSIONS Associations between SAF, lung function and COPD prevalence were strongly influenced by smoking. SAF associated with COPD severity and its association with lung function was more prominent within COPD. These results fuel further research into interrelations and causality between SAF, smoking and COPD. TAKE-HOME MESSAGE Skin AGEs associated with prevalence and severity of COPD and lung function in the general population with a stronger effect in COPD, calling for further research into interrelations and causality between SAF, smoking and COPD.
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Affiliation(s)
- Tianqi Lu
- Department of Internal Medicine, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015GD, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Lies Lahousse
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Sara Wijnant
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Jinluan Chen
- Department of Internal Medicine, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015GD, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Guy G Brusselle
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015GD, Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015GD, Rotterdam, The Netherlands.
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23
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Ikram MA, Kieboom BCT, Brouwer WP, Brusselle G, Chaker L, Ghanbari M, Goedegebure A, Ikram MK, Kavousi M, de Knegt RJ, Luik AI, van Meurs J, Pardo LM, Rivadeneira F, van Rooij FJA, Vernooij MW, Voortman T, Terzikhan N. The Rotterdam Study. Design update and major findings between 2020 and 2024. Eur J Epidemiol 2024; 39:183-206. [PMID: 38324224 DOI: 10.1007/s10654-023-01094-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/14/2023] [Indexed: 02/08/2024]
Abstract
The Rotterdam Study is a population-based cohort study, started in 1990 in the district of Ommoord in the city of Rotterdam, the Netherlands, with the aim to describe the prevalence and incidence, unravel the etiology, and identify targets for prediction, prevention or intervention of multifactorial diseases in mid-life and elderly. The study currently includes 17,931 participants (overall response rate 65%), aged 40 years and over, who are examined in-person every 3 to 5 years in a dedicated research facility, and who are followed-up continuously through automated linkage with health care providers, both regionally and nationally. Research within the Rotterdam Study is carried out along two axes. First, research lines are oriented around diseases and clinical conditions, which are reflective of medical specializations. Second, cross-cutting research lines transverse these clinical demarcations allowing for inter- and multidisciplinary research. These research lines generally reflect subdomains within epidemiology. This paper describes recent methodological updates and main findings from each of these research lines. Also, future perspective for coming years highlighted.
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Affiliation(s)
- M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands.
| | - Brenda C T Kieboom
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Willem Pieter Brouwer
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Guy Brusselle
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
- Department of Pulmonology, University Hospital Ghent, Ghent, Belgium
| | - Layal Chaker
- Department of Epidemiology, and Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - André Goedegebure
- Department of Otorhinolaryngology and Head & Neck Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, and Department of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Rob J de Knegt
- Department of Hepatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Luba M Pardo
- Department of Dermatology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Fernando Rivadeneira
- Department of Medicine, and Department of Oral & Maxillofacial Surgery, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, and Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
| | - Natalie Terzikhan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, Netherlands
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24
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Najjary S, Kros JM, Stricker BH, Ruiter R, Shuai Y, Kraaij R, Van Steen K, van der Spek P, Van Eijck CHJ, Ikram MA, Ahmad S. Association of blood cell-based inflammatory markers with gut microbiota and cancer incidence in the Rotterdam study. Cancer Med 2024; 13:e6860. [PMID: 38366800 PMCID: PMC10904974 DOI: 10.1002/cam4.6860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/29/2023] [Accepted: 12/12/2023] [Indexed: 02/18/2024] Open
Abstract
The immune response-gut microbiota interaction is implicated in various human diseases, including cancer. Identifying the link between the gut microbiota and systemic inflammatory markers and their association with cancer will be important for our understanding of cancer etiology. The current study was performed on 8090 participants from the population-based Rotterdam study. We found a significant association (false discovery rate [FDR] ≤0.05) between lymphocytes and three gut microbial taxa, namely the family Streptococcaceae, genus Streptococcus, and order Lactobacillales. In addition, we identified 95 gut microbial taxa that were associated with inflammatory markers (p < 0.05). Analyzing the cancer data, we observed a significant association between higher systemic immune-inflammation index (SII) levels at baseline (hazard ratio (HR): 1.65 [95% confidence interval (CI); 1.10-2.46, p ≤ 0.05]) and a higher count of lymphocytes (HR: 1.38 [95% CI: 1.15-1.65, p ≤ 0.05]) and granulocytes (HR: 1.69 [95% CI: 1.40-2.03, p ≤ 0.05]) with increased risk of lung cancer after adjusting for age, sex, body mass index (BMI), and study cohort. This association was lost for SII and lymphocytes after additional adjustment for smoking (SII = HR:1.46 [95% CI: 0.96-2.22, p = 0.07] and lymphocytes = HR: 1.19 [95% CI: 0.97-1.46, p = 0.08]). In the stratified analysis, higher count of lymphocyte and granulocytes at baseline were associated with an increased risk of lung cancer in smokers after adjusting for age, sex, BMI, and study cohort (HR: 1.33 [95% CI: 1.09-1.62, p ≤0.05] and HR: 1.57 [95% CI: 1.28-1.92, p ≤0.05], respectively). Our study revealed a positive association between gut microbiota, higher SII levels, and higher lymphocyte and granulocyte counts, with an increased risk of developing lung cancer.
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Affiliation(s)
- Shiva Najjary
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | - Johan M. Kros
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | - Bruno H. Stricker
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Rikje Ruiter
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Yu Shuai
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Robert Kraaij
- Department of Internal MedicineErasmus University Medical CenterRotterdamthe Netherlands
| | - Kristel Van Steen
- Department of Human Genetics, Laboratory for Systems MedicineCenter for Human Genetics, KU LeuvenLeuvenBelgium
| | - Peter van der Spek
- Department of Pathology and Clinical Bioinformatics, The Tumor Immuno‐Pathology LaboratoryErasmus University Medical CenterRotterdamthe Netherlands
| | | | - M. Arfan Ikram
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Shahzad Ahmad
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
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25
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Vergroesen JE, Jarrar ZA, Weiss S, Frost F, Ansari AS, Nguyen P, Kraaij R, Medina-Gomez C, Völzke H, Tost F, Amin N, van Duijn CM, Klaver CCW, Jürgens C, Hammond CJ, Ramdas WD. Glaucoma Patients Have a Lower Abundance of Butyrate-Producing Taxa in the Gut. Invest Ophthalmol Vis Sci 2024; 65:7. [PMID: 38315494 PMCID: PMC10851784 DOI: 10.1167/iovs.65.2.7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/19/2024] [Indexed: 02/07/2024] Open
Abstract
Purpose Glaucoma is an eye disease that is the most common cause of irreversible blindness worldwide. It has been suggested that gut microbiota can produce reactive oxygen species and pro-inflammatory cytokines that may travel from the gastric mucosa to distal sites, for example, the optic nerve head or trabecular meshwork. There is evidence for a gut-eye axis, as microbial dysbiosis has been associated with retinal diseases. We investigated the microbial composition in patients with glaucoma and healthy controls. Moreover, we analyzed the association of the gut microbiome with intraocular pressure (IOP; risk factor of glaucoma) and vertical cup-to-disc ratio (VCDR; quantifying glaucoma severity). Methods The discovery analyses included participants of the Rotterdam Study and the Erasmus Glaucoma Cohort. A total of 225 patients with glaucoma and 1247 age- and sex-matched participants without glaucoma were included in our analyses. Stool samples were used to generate 16S rRNA gene profiles. We assessed associations with 233 genera and species. We used data from the TwinsUK and the Study of Health in Pomerania (SHIP) to replicate our findings. Results Several butyrate-producing taxa (e.g. Butyrivibrio, Caproiciproducens, Clostridium sensu stricto 1, Coprococcus 1, Ruminococcaceae UCG 007, and Shuttleworthia) were less abundant in people with glaucoma compared to healthy controls. The same taxa were also associated with lower IOP and smaller VCDR. The replication analyses confirmed the findings from the discovery analyses. Conclusions Large human studies exploring the link between the gut microbiome and glaucoma are lacking. Our results suggest that microbial dysbiosis plays a role in the pathophysiology of glaucoma.
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Affiliation(s)
- Joëlle E. Vergroesen
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Zakariya A. Jarrar
- Department of Ophthalmology, King's College London, London, United Kingdom
- Department of Twins Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Stefan Weiss
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Frost
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Abdus S. Ansari
- Department of Ophthalmology, King's College London, London, United Kingdom
- Department of Twins Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Picard Nguyen
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Robert Kraaij
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Frank Tost
- Department of Ophthalmology, University Medicine Greifswald, Greifswald, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Cornelia M. van Duijn
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Caroline C. W. Klaver
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, The Netherlands
- Institute of Molecular and Clinical Ophthalmology, University of Basel, Basel, Switzerland
| | - Clemens Jürgens
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Chris J. Hammond
- Department of Ophthalmology, King's College London, London, United Kingdom
- Department of Twins Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Wishal D. Ramdas
- Department of Ophthalmology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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26
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Schuurmans IK, Ghanbari M, Cecil CAM, Ikram MA, Luik AI. Plasma neurofilament light chain in association to late-life depression in the general population. Psychiatry Clin Neurosci 2024; 78:97-103. [PMID: 37843431 DOI: 10.1111/pcn.13608] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/22/2023] [Accepted: 10/11/2023] [Indexed: 10/17/2023]
Abstract
AIM Investigating what is underlying late-life depression is becoming increasingly important with the rapidly growing elderly population. Yet, the associations between plasma biomarkers of neuroaxonal damage and late-life depression remain largely unclear. Therefore, we determined cross-sectional and longitudinal associations of neurofilament light chain (NfL) with depression in middle-aged and elderly individuals, and total tau, β-amyloid 40 and 42 for comparison. METHODS We included 3,895 participants (71.78 years [SD = 7.37], 53.4% women) from the population-based Rotterdam Study. Between 2002 and 2005, NfL, total tau, β-amyloid 40 and β-amyloid 42 were determined in blood and depressive symptoms were measured with the Center for Epidemiologic Studies Depression scale (CES-D). Incident depressive events (clinically relevant depressive symptoms, depressive syndromes, major depressive disorders) were measured prospectively with the Center for Epidemiologic Studies Depression, a clinical interview and follow-up of medical records over a median follow-up of 7.0 years (interquartile range 1.80). We used linear and Cox proportional hazard regression models. RESULTS Each log2 pg./mL increase in NfL was cross-sectionally associated with more depressive symptoms (adjusted mean difference: 0.32, 95% CI 0.05-0.58), as well as with an increased risk of any incident depressive event over time (hazard ratio: 1.22, 95% CI 1.01-1.47). Further, more amyloid-β 40 was cross-sectionally associated with more depressive symptoms (adjusted mean difference: 0.70, 95% CI 0.15-1.25). CONCLUSION Higher levels of NfL are cross-sectionally associated with more depressive symptoms and a higher risk of incident depressive events longitudinally. The association was stronger for NfL compared to other plasma biomarkers, suggesting a potential role of neuroaxonal damage in developing late-life depression.
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Affiliation(s)
- Isabel K Schuurmans
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Charlotte A M Cecil
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
- Trimbos Institute-The Netherlands Institute of Mental Health and Addiction, Utrecht, The Netherlands
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van den Beukel TC, Wolters FJ, Siebert U, Spiering W, Ikram MA, Vernooij MW, de Jong PA, Bos D. Intracranial arteriosclerosis and the risk of dementia: A population-based cohort study. Alzheimers Dement 2024; 20:869-879. [PMID: 37814499 PMCID: PMC10916985 DOI: 10.1002/alz.13496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/08/2023] [Accepted: 09/09/2023] [Indexed: 10/11/2023]
Abstract
BACKGROUND The impact of intracranial arteriosclerosis on dementia remains largely unclear. METHODS In 2339 stroke-free and dementia-free participants (52.2% women, mean age 69.5 years) from the general population, we assessed intracranial carotid artery calcification (ICAC) and vertebrobasilar artery calcification (VBAC) as proxy for arteriosclerosis. Associations with dementia were assessed using Cox models. In addition, indirect effects through cerebral small vessel disease (cSVD) and subcortical brain structure volumes were assessed using causal mediation analyses. RESULTS During a median of 13.4 years (25th-75th percentiles 9.9-14.5) of follow-up, 282 participants developed dementia. Both ICAC presence (hazard ratio [HR]: 1.53, 95% confidence interval [CI]: 1.00-2.32]) and volume (HR per standard deviation: 1.19, 95% CI: 1.01-1.40) increased dementia risk. For VBAC, severe calcifications increased dementia risk (HR for third vs first volume tertile: 1.89, 95% CI: 1.00-3.59). These effects were mediated partly through increased cSVD (percentage mediated for ICAC: 13% and VBAC: 24%). DISCUSSION Intracranial arteriosclerosis increases the risk of dementia.
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Affiliation(s)
- Tim C. van den Beukel
- Department of EpidemiologyErasmus Medical CenterRotterdamCAThe Netherlands
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamCAThe Netherlands
- Department of Radiology and Nuclear MedicineUniversity Medical Center UtrechtUtrechtGAThe Netherlands
| | - Frank J. Wolters
- Department of EpidemiologyErasmus Medical CenterRotterdamCAThe Netherlands
- Department of NeurologyErasmus Medical CenterRotterdamCAThe Netherlands
- Alzheimer CenterErasmus Medical CenterRotterdamCAThe Netherlands
| | - Uwe Siebert
- Center for Health Decision Science, Departments of Epidemiology and Health Policy & ManagementHarvard T.H. Chan School of Public Health, BostonBostonMassachusettsUSA
- Institute of Public Health, Medical Decision Making and Health Technology Assessment, Department of Public Health, Health Services Research and Health Technology AssessmentUMIT TIROL ‐ University for Health Sciences and TechnologyAustria
- Program on Cardiovascular Research, Institute for Technology Assessment and Department of Radiology, Massachusetts General HospitalHarvard Medical School, BostonBostonMassachusettsUSA
| | - Wilko Spiering
- Department of Vascular MedicineUniversity Medical Center UtrechtUtrechtGAThe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus Medical CenterRotterdamCAThe Netherlands
| | - Meike W. Vernooij
- Department of EpidemiologyErasmus Medical CenterRotterdamCAThe Netherlands
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamCAThe Netherlands
| | - Pim A. de Jong
- Department of Radiology and Nuclear MedicineUniversity Medical Center UtrechtUtrechtGAThe Netherlands
| | - Daniel Bos
- Department of EpidemiologyErasmus Medical CenterRotterdamCAThe Netherlands
- Department of Radiology and Nuclear MedicineErasmus Medical CenterRotterdamCAThe Netherlands
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
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van Arendonk J, Wolters FJ, Neitzel J, Vinke EJ, Vernooij MW, Ghanbari M, Ikram MA. Plasma neurofilament light chain in relation to 10-year change in cognition and neuroimaging markers: a population-based study. GeroScience 2024; 46:57-70. [PMID: 37535203 PMCID: PMC10828339 DOI: 10.1007/s11357-023-00876-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 07/10/2023] [Indexed: 08/04/2023] Open
Abstract
Neurofilament light chain (NfL) is a promising biomarker for risk stratification and disease monitoring of dementia, but its utility in the preclinical disease stage remains uncertain. We determined the association of plasma NfL with (change in) neuroimaging markers and cognition in the population-based Rotterdam Study, using linear and logistic regression and mixed-effects models. Plasma NfL levels were measured using the Simoa NF-light™ assay in 4705 dementia-free participants (mean age 71.9 years, 57% women), who underwent cognitive assessment and brain MRI with repeated assessments over a 10-year follow-up period. Higher plasma NfL was associated with worse cognitive performance at baseline (g-factor: β = - 0.12 (- 0.15; - 0.09), p < 0.001), and accelerated cognitive decline during follow-up on the Stroop color naming task (β = 0.04 (0.02; 0.06), p < 0.001), with a smaller trend for decline in global cognition (g-factor β = - 0.02 (- 0.04; 0.00), p = 0.044). In the subset of 975 participants with brain MRI, higher NfL was associated with poorer baseline white matter integrity (e.g., global mean diffusivity: β = 0.12 (0.06; 0.19), p < 0.001), with similar trends for volume of white matter hyperintensities (β = 0.09 (0.02; 0.16), p = 0.011) and presence of lacunes (OR = 1.55 (1.13; 2.14), p = 0.007). Plasma NfL was not associated with volumes or thickness of the total gray matter, hippocampus, or Alzheimer signature regions. In conclusion, higher plasma NfL levels are associated with cognitive decline and larger burden of primarily white matter pathology in the general population.
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Affiliation(s)
- Joyce van Arendonk
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
| | - Frank J Wolters
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
| | - Julia Neitzel
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
- Department of Epidemiology, Harvard T.H Chan School of Public Health, Boston, MA, USA
| | - Elisabeth J Vinke
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, PO Box 2040, Rotterdam, 3000 CA, the Netherlands.
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van der Toorn JE, Vernooij MW, Ikram MA, Kavousi M, Bos D. Progression of arterial calcifications: what, where, and in whom? Eur Radiol 2024:10.1007/s00330-023-10566-7. [PMID: 38224376 DOI: 10.1007/s00330-023-10566-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/16/2023] [Accepted: 12/09/2023] [Indexed: 01/16/2024]
Abstract
OBJECTIVES There is a lack of information on the development of arteriosclerosis over time. This study aims to assess long-term sex-specific changes in arterial calcifications in five arteries, and the influence of cardiovascular risk factors hereon. METHODS From a population-based cohort, 807 participants (mean baseline age, 65.8; SD, 4.2) underwent a non-contrast computed tomography (CT) examination between 2003 and 2006, and after a median follow-up of 14 years. We assessed incidences and changes in volumes of coronary artery calcification (CAC), aortic arch calcification (AAC), extracranial (ECAC) and intracranial carotid artery calcification (ICAC), and vertebrobasilar artery calcification (VBAC). We investigated the simultaneous presence of severe progression (upper quartile of percentual change volumes). Associations of cardiovascular risk factors with changes in calcification volumes were assessed using multivariate linear regression models. RESULTS The difference in AAC was most substantial; the median volume (mm3) increased from of 129 to 916 in men and from 93 to 839 in women. For VBAC, no change in volumes was observed though more than a quarter of participants without baseline VBAC developed VBAC during follow-up. Severe progression was most often observed in only one artery at the same time. Hypertension was most consistently associated with increase in calcifications. Associations of diabetes, hypercholesterolemia, and smoking with changes in calcifications varied across arteries and sex. CONCLUSIONS We found a considerable incidence and increase in volumes of calcifications in different arteries, over a 14-year time interval. Cardiovascular risk factors were associated with increase of calcifications with sex-specific differential effects across arteries. CLINICAL RELEVANCE STATEMENT There is a considerable incidence and increase in volumes of calcifications in different arteries, over a 14-year time interval. Cardiovascular risk factors are associated with increase of calcifications with sex-specific differential effects across arteries; thus, assessing changes in only one artery may thus not provide a good reflection of the systemic development of arteriosclerosis. KEY POINTS • Assessing change in arterial calcification in only one artery does not reflect the systemic development of arterial calcification. • Cardiovascular risk factors are associated with progression of arterial calcifications. • Progression of arterial calcification is sex and artery-specific.
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Affiliation(s)
- Janine E van der Toorn
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Department of Cardiovascular Sciences, KU Leuven, Louvain, Belgium.
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30
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Mooldijk SS, Lu T, Waqas K, Chen J, Vernooij MW, Ikram MK, Zillikens MC, Ikram MA. Skin autofluorescence, reflecting accumulation of advanced glycation end products, and the risk of dementia in a population-based cohort. Sci Rep 2024; 14:1256. [PMID: 38218902 PMCID: PMC10787742 DOI: 10.1038/s41598-024-51703-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 01/08/2024] [Indexed: 01/15/2024] Open
Abstract
Conditions such as hyperglycemia and oxidative stress lead to the formation of advanced glycation end products (AGEs), which are harmful compounds that have been implicated in dementia. Within the Rotterdam Study, we measured skin AGEs as skin autofluorescence, reflecting long-term accumulation of AGEs, and determined their association with the risk of dementia and with brain magnetic resonance imaging (MRI) measures. Skin autofluorescence was measured between 2013 and 2016 in 2922 participants without dementia. Of these, 1504 also underwent brain MRI, on which measures of brain atrophy and cerebral small vessel disease were assessed. All participants were followed for the incidence of dementia until 2020. Of 2922 participants (mean age 72.6 years, 57% women), 123 developed dementia. Higher skin autofluorescence (per standard deviation) was associated with an increased risk of dementia (hazard ratio 1.21 [95% confidence interval 1.01-1.46]) and Alzheimer's disease (1.19 [0.97-1.47]), independently of age and other studied potential confounders. Stronger effects were seen in apolipoprotein E (APOE) ε4 carriers (1.34 [0.98-1.82]) and in participants with diabetes (1.35 [0.94-1.94]). Participants with higher skin autofluorescence levels also had smaller total brain volumes and smaller hippocampus volumes on MRI, and they had more often lacunes. These results suggest that AGEs may be involved in dementia pathophysiology.
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Affiliation(s)
- Sanne S Mooldijk
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Tianqi Lu
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Komal Waqas
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jinluan Chen
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.
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Ghatan S, van Rooij J, van Hoek M, Boer CG, Felix JF, Kavousi M, Jaddoe VW, Sijbrands EJG, Medina-Gomez C, Rivadeneira F, Oei L. Defining type 2 diabetes polygenic risk scores through colocalization and network-based clustering of metabolic trait genetic associations. Genome Med 2024; 16:10. [PMID: 38200577 PMCID: PMC10777532 DOI: 10.1186/s13073-023-01255-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/08/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is a heterogeneous and polygenic disease. Previous studies have leveraged the highly polygenic and pleiotropic nature of T2D variants to partition the heterogeneity of T2D, in order to stratify patient risk and gain mechanistic insight. We expanded on these approaches by performing colocalization across GWAS traits while assessing the causality and directionality of genetic associations. METHODS We applied colocalization between T2D and 20 related metabolic traits, across 243 loci, to obtain inferences of shared casual variants. Network-based unsupervised hierarchical clustering was performed on variant-trait associations. Partitioned polygenic risk scores (PRSs) were generated for each cluster using T2D summary statistics and validated in 21,742 individuals with T2D from 3 cohorts. Inferences of directionality and causality were obtained by applying Mendelian randomization Steiger's Z-test and further validated in a pediatric cohort without diabetes (aged 9-12 years old, n = 3866). RESULTS We identified 146 T2D loci that colocalized with at least one metabolic trait locus. T2D variants within these loci were grouped into 5 clusters. The clusters corresponded to the following pathways: obesity, lipodystrophic insulin resistance, liver and lipid metabolism, hepatic glucose metabolism, and beta-cell dysfunction. We observed heterogeneity in associations between PRSs and metabolic measures across clusters. For instance, the lipodystrophic insulin resistance (Beta - 0.08 SD, 95% CI [- 0.10-0.07], p = 6.50 × 10-32) and beta-cell dysfunction (Beta - 0.10 SD, 95% CI [- 0.12, - 0.08], p = 1.46 × 10-47) PRSs were associated to lower BMI. Mendelian randomization Steiger analysis indicated that increased T2D risk in these pathways was causally associated to lower BMI. However, the obesity PRS was conversely associated with increased BMI (Beta 0.08 SD, 95% CI 0.06-0.10, p = 8.0 × 10-33). Analyses within a pediatric cohort supported this finding. Additionally, the lipodystrophic insulin resistance PRS was associated with a higher odds of chronic kidney disease (OR 1.29, 95% CI 1.02-1.62, p = 0.03). CONCLUSIONS We successfully partitioned T2D genetic variants into phenotypic pathways using a colocalization first approach. Partitioned PRSs were associated to unique metabolic and clinical outcomes indicating successful partitioning of disease heterogeneity. Our work expands on previous approaches by providing stronger inferences of shared causal variants, causality, and directionality of GWAS variant-trait associations.
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Affiliation(s)
- Samuel Ghatan
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen van Rooij
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Mandy van Hoek
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Cindy G Boer
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W Jaddoe
- The Generation R Study Group, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Ling Oei
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands
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van der Burgh AC, Geurts S, Ahmad S, Ikram MA, Chaker L, Ferraro PM, Ghanbari M. Circulating metabolites associated with kidney function decline and incident CKD: a multi-platform population-based study. Clin Kidney J 2024; 17:sfad286. [PMID: 38213486 PMCID: PMC10783258 DOI: 10.1093/ckj/sfad286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Indexed: 01/13/2024] Open
Abstract
Background Investigation of circulating metabolites associated with kidney function and chronic kidney disease (CKD) risk could enhance our understanding of underlying pathways and identify new biomarkers for kidney function. Methods We selected participants from the population-based Rotterdam Study with data on circulating metabolites and estimated glomerular filtration rate based on serum creatinine (eGFRcreat) available at the same time point. Data on eGFR based on serum cystatin C (eGFRcys) and urine albumin-to-creatinine ratio (ACR) were also included. CKD was defined as eGFRcreat <60 ml/min per 1.73 m2. Data on circulating metabolites (ntotal = 1381) was obtained from the Nightingale and Metabolon platform. Linear regression, linear mixed, and Cox proportional-hazards regression analyses were conducted to study the associations between metabolites and kidney function. We performed bidirectional two-sample Mendelian randomization analyses to investigate causality of the identified associations. Results We included 3337 and 1540 participants with data from Nightingale and Metabolon, respectively. A total of 1381 metabolites (243 from Nightingale and 1138 from Metabolon) were included in the analyses. A large number of metabolites were significantly associated with eGFRcreat, eGFRcys, ACR, and CKD, including 16 metabolites that were associated with all four outcomes. Among these, C-glycosyltryptophan (HR 1.50, 95%CI 1.31;1.71) and X-12026 (HR 1.46, 95%CI 1.26;1.68) were most strongly associated with CKD risk. We revealed sex differences in the associations of 11-ketoetiocholanolone glucuronide and 11-beta-glucuronide with the kidney function assessments. No causal associations between the identified metabolites and kidney function were observed. Conclusion Our study indicates that several circulating metabolites are associated with kidney function which are likely to have potential as biomarkers, rather than as molecules involved in the pathophysiology of kidney function decline.
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Affiliation(s)
- Anna C van der Burgh
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Sven Geurts
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Shahzad Ahmad
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pietro Manuel Ferraro
- Division of Nephrology, Department of Medicine, Università degli Studi di Verona, Verona, Italy
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
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Sudre CH, Van Wijnen K, Dubost F, Adams H, Atkinson D, Barkhof F, Birhanu MA, Bron EE, Camarasa R, Chaturvedi N, Chen Y, Chen Z, Chen S, Dou Q, Evans T, Ezhov I, Gao H, Girones Sanguesa M, Gispert JD, Gomez Anson B, Hughes AD, Ikram MA, Ingala S, Jaeger HR, Kofler F, Kuijf HJ, Kutnar D, Lee M, Li B, Lorenzini L, Menze B, Molinuevo JL, Pan Y, Puybareau E, Rehwald R, Su R, Shi P, Smith L, Tillin T, Tochon G, Urien H, van der Velden BHM, van der Velpen IF, Wiestler B, Wolters FJ, Yilmaz P, de Groot M, Vernooij MW, de Bruijne M. Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021. Med Image Anal 2024; 91:103029. [PMID: 37988921 DOI: 10.1016/j.media.2023.103029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 08/09/2023] [Accepted: 11/13/2023] [Indexed: 11/23/2023]
Abstract
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- and interrater variability. Automated rating may benefit biomedical research, as well as clinical assessment, but diagnostic reliability of existing algorithms is unknown. Here, we present the results of the VAscular Lesions DetectiOn and Segmentation (Where is VALDO?) challenge that was run as a satellite event at the international conference on Medical Image Computing and Computer Aided Intervention (MICCAI) 2021. This challenge aimed to promote the development of methods for automated detection and segmentation of small and sparse imaging markers of cerebral small vessel disease, namely enlarged perivascular spaces (EPVS) (Task 1), cerebral microbleeds (Task 2) and lacunes of presumed vascular origin (Task 3) while leveraging weak and noisy labels. Overall, 12 teams participated in the challenge proposing solutions for one or more tasks (4 for Task 1-EPVS, 9 for Task 2-Microbleeds and 6 for Task 3-Lacunes). Multi-cohort data was used in both training and evaluation. Results showed a large variability in performance both across teams and across tasks, with promising results notably for Task 1-EPVS and Task 2-Microbleeds and not practically useful results yet for Task 3-Lacunes. It also highlighted the performance inconsistency across cases that may deter use at an individual level, while still proving useful at a population level.
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Affiliation(s)
- Carole H Sudre
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom; Centre for Medical Image Computing, University College London, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
| | - Kimberlin Van Wijnen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Florian Dubost
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Hieab Adams
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - David Atkinson
- Centre for Medical Imaging, University College London, London, United Kingdom
| | - Frederik Barkhof
- Centre for Medical Image Computing, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Mahlet A Birhanu
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Robin Camarasa
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - Yuan Chen
- Department of Radiology, University of Massachusetts Medical School, Worcester, USA
| | - Zihao Chen
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Shuai Chen
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Qi Dou
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, China
| | - Tavia Evans
- Department of Clinical Genetics and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Ivan Ezhov
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Haojun Gao
- Department of Radiology, Zhejiang University, Hangzhou, China
| | | | - Juan Domingo Gispert
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain; Centro de Investigación Biomédica en Red Bioingeniería, Biomateriales y Nanomedicina, (CIBER-BBN), Barcelona, Spain
| | | | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Silvia Ingala
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - H Rolf Jaeger
- Institute of Neurology, University College London, London, United Kingdom
| | - Florian Kofler
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, Technical University of Munich, Germany
| | - Hugo J Kuijf
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Denis Kutnar
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Bo Li
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Luigi Lorenzini
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Bjoern Menze
- Department of Informatics, Technische Universitat Munchen, Munich, Germany; Department of Quantitative Biomedicine, University of Zurich, Switzerland
| | - Jose Luis Molinuevo
- Barcelonaß Brain Research Center (BBRC), Pasqual Maragall Foundation, Barcelona, Spain; H. Lundbeck A/S, Copenhagen, Denmark
| | - Yiwei Pan
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Rafael Rehwald
- Institute of Neurology, University College London, London, United Kingdom
| | - Ruisheng Su
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Pengcheng Shi
- Department of Electronic and Information Engineering, Harbin Institute of Technology at Shenzhen, Shenzhen, China
| | | | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing at UCL, Department of Population Science and Experimental Medicine, University College London, London, United Kingdom
| | | | - Hélène Urien
- ISEP-Institut Supérieur d'Électronique de Paris, Issy-les-Moulineaux, France
| | | | - Isabelle F van der Velpen
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Germany
| | - Frank J Wolters
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Pinar Yilmaz
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marius de Groot
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; GlaxoSmithKline Research, Stevenage, United Kingdom
| | - Meike W Vernooij
- Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Marleen de Bruijne
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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Bertels X, Ross JC, Faner R, Cho MH, Ikram MA, Brusselle GG, Lahousse L. Clinical relevance of lung function trajectory clusters in middle-aged and older adults. ERJ Open Res 2024; 10:00793-2023. [PMID: 38333649 PMCID: PMC10851953 DOI: 10.1183/23120541.00793-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 10/27/2023] [Indexed: 02/10/2024] Open
Abstract
Background The determinants and health outcomes of lung function trajectories in adults among the general population are poorly understood. We aimed to identify and characterise clusters of lung function trajectories in adults aged ≥45 years. Methods Gaussian finite-mixture modelling was applied to baseline and annualised change of forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC ratio z-scores in participants of the Rotterdam Study, a prospective population-based cohort study, with repeated spirometry (n=3884; mean±sd age 64.7±8.9 years). Longitudinal outcomes were all-cause mortality, respiratory outcomes (symptoms, COPD (FEV1/FVC <0.7 in absence of asthma), preserved ratio impaired spirometry (PRISm; FEV1/FVC ≥0.7 and FEV1 or FVC <80%)), smoking cessation and weight changes. Independent risk factors, including genetics, were identified by multiple logistic regression. Results We identified eight trajectory clusters, with the reference group having persistently normal spirometry (prevalence 42.8%). Three clusters showed higher mortality, adjusted for confounders: 1) the persistently low FEV1 cluster (prevalence 6.8%, hazard ratio (HR) 1.71, 95% CI 1.37-2.13); 2) rapid FEV1 decliners (prevalence 4.6%, HR 1.48, 95% CI 1.10-1.99); and 3) FVC decliners (prevalence 3.7%, HR 1.49, 95% CI 1.09-2.03). In contrast, FVC improvers (prevalence 6.7%, HR 0.61, 95% CI 0.41-0.90) and persistently high FEV1 (prevalence 29.2%, HR 0.82, 95% CI 0.69-0.98) were protective trajectory clusters. Clusters were characterised by differences in genetic predisposition (polygenic scores of FEV1 and FEV1/FVC), demographics, cigarette smoking, respiratory symptoms (chronic cough, wheezing and dyspnoea), cardiovascular factors (body mass index, hypertension and heart failure) and serum C-reactive protein levels. Frailty, weight changes and the development of respiratory symptoms, COPD and PRISm were significantly associated with trajectory clusters. Conclusions This study reveals clinically relevant lung function trajectory clusters in older adults of the general population.
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Affiliation(s)
- Xander Bertels
- Department of Bioanalysis, Ghent University, Ghent, Belgium
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - James C. Ross
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rosa Faner
- Institut d'Investigacions Biomédiques August Pi i Sunyer, Hospital Clinic de Barcelona, Barcelona, Spain
- Department of Biomedical Sciences, University of Barcelona, Barcelona, Spain
- Centro Investigaciones Biomédicas en Red, Instituto de Salud Carlos III, Madrid, Spain
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Guy G. Brusselle
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium
- Department of Respiratory Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Lies Lahousse
- Department of Bioanalysis, Ghent University, Ghent, Belgium
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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de Crom TOE, Ghanbari M, Voortman T, Ikram MA. Body composition and plasma total-tau, neurofilament light chain, and amyloid-β: A population-based study. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12519. [PMID: 38229659 PMCID: PMC10789925 DOI: 10.1002/dad2.12519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/08/2023] [Accepted: 12/11/2023] [Indexed: 01/18/2024]
Abstract
A higher body mass at older age has been linked to a lower risk of dementia. This unexpected trend may be explained by age-related lean mass depletion, or methodological issues such as the long preclinical phase of dementia or competing risks. Focusing on preclinical markers of dementia may overcome these issues. Between 2002 and 2005, body composition and plasma total-tau, neurofilament light chain (NfL), amyloid-β40, and amyloid-β42 were measured in 3408 dementia-free participants from the population-based Rotterdam Study. The cross-sectional associations between body composition and plasma markers were determined using linear regression models. Whole body and fat mass, but not lean mass, were positively associated with total-tau, while all these measures were inversely associated with NfL. Apart from an inverse association between lean mass and amyloid-β40, body composition measures were not associated with plasma amyloid-β. Our findings suggest distinct effects of body composition on neurodegeneration.
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Affiliation(s)
- Tosca O. E. de Crom
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Mohsen Ghanbari
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - Trudy Voortman
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
| | - M. Arfan Ikram
- Department of EpidemiologyErasmus MCUniversity Medical CenterRotterdamthe Netherlands
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Weinstein G, O’Donnell A, Frenzel S, Xiao T, Yaqub A, Yilmaz P, de Knegt RJ, Maestre GE, van Lent DM, Long M, Gireud-Goss M, Ittermann T, Frost F, Bülow R, Vasan RS, Grabe HJ, Ikram MA, Beiser AS, Seshadri S. Nonalcoholic fatty liver disease, liver fibrosis, and structural brain imaging: The Cross-Cohort Collaboration. Eur J Neurol 2024; 31:e16048. [PMID: 37641505 PMCID: PMC10840827 DOI: 10.1111/ene.16048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 08/11/2023] [Accepted: 08/15/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND AND PURPOSE Prior studies reported conflicting findings regarding the association of nonalcoholic fatty liver disease (NAFLD) and liver fibrosis with measures of brain health. We examined whether NAFLD and liver fibrosis are associated with structural brain imaging measures in middle- and old-age adults. METHODS In this cross-sectional study among dementia- and stroke-free individuals, data were pooled from the Offspring and Third Generation cohorts of the Framingham Heart Study (FHS), the Rotterdam Study (RS), and the Study of Health in Pomerania. NAFLD was assessed through abdominal imaging. Transient hepatic elastography (FibroScan) was used to assess liver fibrosis in FHS and RS. Linear regression models were used to explore the relation of NAFLD and liver fibrosis with brain volumes, including total brain, gray matter, hippocampus, and white matter hyperintensities, adjusting for potential confounders. Results were combined using fixed effects meta-analysis. RESULTS In total, 5660 and 3022 individuals were included for NAFLD and liver fibrosis analyses, respectively. NAFLD was associated with smaller volumes of total brain (β = -3.5, 95% confidence interval [CI] = -5.4 to -1.7), total gray matter (β = -1.9, 95% CI = -3.4 to -0.3), and total cortical gray matter (β = -1.9, 95% CI = -3.7 to -0.01). In addition, liver fibrosis (defined as liver stiffness measure ≥8.2 kPa) was related to smaller total brain volumes (β = -7.3, 95% CI = -11.1 to -3.5). Heterogeneity between studies was low. CONCLUSIONS NAFLD and liver fibrosis may be directly related to brain aging. Larger and prospective studies are warranted to validate these findings and identify liver-related preventive strategies for neurodegeneration.
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Affiliation(s)
| | - Adrienne O’Donnell
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Framingham Study, Framingham, Massachusetts, USA
| | - Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Tian Xiao
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Amber Yaqub
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Pinar Yilmaz
- Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Robert J. de Knegt
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Gladys E. Maestre
- Neurosciences Laboratory, Biological Research Institute and Research Institute of Cardiovascular Diseases, Faculty of Medicine, Universidad del Zulia Maracaibo Venezuela, Maracaibo, Venezuela
- Division of Neurosciences, Department of Biomedical Sciences, University of Texas Rio Grande Valley School of Medicine, Edinburg, Texas, USA
| | - Debora Melo van Lent
- Framingham Study, Framingham, Massachusetts, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Michelle Long
- Section of Gastroenterology, Boston Medical Center, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Monica Gireud-Goss
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Fabian Frost
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Robin Bülow
- Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany
| | - Ramachandran S. Vasan
- Framingham Study, Framingham, Massachusetts, USA
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Disease, partner site Rostock/Greifswald, Rostock, Germany
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Alexa S. Beiser
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
- Framingham Study, Framingham, Massachusetts, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Sudha Seshadri
- Framingham Study, Framingham, Massachusetts, USA
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, USA
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Lary CW, Ghatan S, Gerety M, Hinton A, Nagarajan A, Rosen C, Ross RD, Bennett DA, DeStefano AL, Ikram MA, Rivadeneira F, Kiel DP, Seshadri S, Beiser A. Bone mineral density and the risk of incident dementia: A meta-analysis. J Am Geriatr Soc 2024; 72:194-200. [PMID: 37933827 PMCID: PMC10829515 DOI: 10.1111/jgs.18638] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 08/22/2023] [Accepted: 09/17/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND It is not known whether bone mineral density (BMD) measured at baseline or as the rate of decline prior to baseline (prior bone loss) is a stronger predictor of incident dementia or Alzheimer's disease (AD). METHODS We performed a meta-analysis of three longitudinal studies, the Framingham Heart Study (FHS), the Rotterdam Study (RS), and the Rush Memory and Aging Project (MAP), modeling the time to diagnosis of dementia as a function of BMD measures accounting for covariates. We included individuals with one or two BMD assessments, aged ≥60 years, and free of dementia at baseline with follow-up available. BMD was measured at the hip femoral neck using dual-energy X-ray absorptiometry (DXA), or at the heel calcaneus using quantitative ultrasound to calculate estimated BMD (eBMD). BMD at study baseline ("baseline BMD") and annualized percentage change in BMD prior to baseline ("prior bone loss") were included as continuous measures. The primary outcome was incident dementia diagnosis within 10 years of baseline, and incident AD was a secondary outcome. Baseline covariates included age, sex, body mass index, ApoE4 genotype, and education. RESULTS The combined sample size across all three studies was 4431 with 606 incident dementia diagnoses, 498 of which were AD. A meta-analysis of baseline BMD across three studies showed higher BMD to have a significant protective association with incident dementia with a hazard ratio of 0.47 (95% CI: 0.23-0.96; p = 0.038) per increase in g/cm2 , or 0.91 (95% CI: 0.84-0.995) per standard deviation increase. We observed a significant association between prior bone loss and incident dementia with a hazard ratio of 1.30 (95% CI: 1.12-1.51; p < 0.001) per percent increase in prior bone loss only in the FHS cohort. CONCLUSIONS Baseline BMD but not prior bone loss was associated with incident dementia in a meta-analysis across three studies.
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Affiliation(s)
- Christine W. Lary
- Roux Institute at Northeastern University, Portland, ME
- MaineHealth Institute for Research, Scarborough, ME
| | | | | | | | - Archana Nagarajan
- Roux Institute at Northeastern University, Portland, ME
- MaineHealth Institute for Research, Scarborough, ME
- Tufts University Graduate School of Biomedical Sciences, Boston, MA
| | | | - Ryan D. Ross
- Department of Anatomy & Cell Biology, Rush University Medical Center
| | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL
| | | | | | | | - Douglas P. Kiel
- Hinda and Arthur Marcus Institute for Aging Research and Department of Medicine, Hebrew SeniorLife, Boston, MA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases, UT Health, San Antonio, TX
- Boston University School of Medicine, Boston, MA
| | - Alexa Beiser
- Boston University School of Public Health, Boston, MA
- Boston University School of Medicine, Boston, MA
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Frentz I, van Arendonk J, Leeuwis AE, Vernooij MW, van der Flier WM, Bos D, De Deyn PP, Wolters FJ, Ikram MA. Interaction Between Arteriosclerosis and Amyloid-β on Cognitive Function. J Alzheimers Dis 2024; 97:953-961. [PMID: 38217596 PMCID: PMC10836547 DOI: 10.3233/jad-230604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND Dementia is a multifactorial disease, with Alzheimer's disease (AD) and vascular pathology often co-occurring in many individuals with dementia. Yet, the interplay between AD and vascular pathology in cognitive decline is largely undetermined. OBJECTIVE The aim of the present study was to examine the joint effect of arteriosclerosis and AD pathology on cognition in the general population without dementia. METHODS We determined the interaction between blood-based AD biomarkers and CT-defined arteriosclerosis on cognition in 2,229 dementia-free participants of the population-based Rotterdam Study (mean age: 68.9 years, 52% women) cross-sectionally. RESULTS Amyloid-β (Aβ)42 and arterial calcification were associated with cognitive performance. After further adjustment for confounders in a model that combined all biomarkers, only arterial calcification remained independently associated with cognition. There was a significant interaction between arterial calcification and Aβ42 and between arterial calcification and the ratio of Aβ42/40. Yet, estimates attenuated, and interactions were no longer statistically significant after adjustment for cardio metabolic risk factors. CONCLUSIONS Arteriosclerosis and AD display additive interaction-effects on cognition in the general population, that are due in part to cardio metabolic risk factors. These findings suggest that joint assessment of arteriosclerosis and AD pathology is important for understanding of disease etiology in individuals with cognitive impairment.
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Affiliation(s)
- Ingeborg Frentz
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Neurology, UMCG, Groningen, The Netherlands
| | - Joyce van Arendonk
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, GD Rotterdam, The Netherlands
| | - Anna E. Leeuwis
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Meike W. Vernooij
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, GD Rotterdam, The Netherlands
| | - Wiesje M. van der Flier
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, GD Rotterdam, The Netherlands
| | - Peter Paul De Deyn
- Department of Neurology, UMCG, Groningen, The Netherlands
- Alzheimer Centre Groningen, UMCG, Groningen, The Netherlands
| | - Frank J. Wolters
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, GD Rotterdam, The Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
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O’Keefe JH, Tintle NL, Harris WS, O’Keefe EL, Sala-Vila A, Attia J, Garg GM, Hure A, Bork CS, Schmidt EB, Venø SK, Chien KL, Chen YY(A, Egert S, Feldreich TR, Ärnlöv J, Lind L, Forouhi NG, Geleijnse JM, Pertiwi K, Imamura F, de Mello Laaksonen V, Uusitupa WM, Tuomilehto J, Laakso M, Lankinen MA, Laurin D, Carmichael PH, Lindsay J, Leander K, Laguzzi F, Swenson BR, Longstreth WT, Manson JE, Mora S, Cook NR, Marklund M, van Lent DM, Murphy R, Gudnason V, Ninomiya T, Hirakawa Y, Qian F, Sun Q, Hu F, Ardisson Korat AV, Risérus U, Lázaro I, Samieri C, Le Goff M, Helmer C, Steur M, Voortman T, Ikram MK, Tanaka T, Das JK, Ferrucci L, Bandinelli S, Tsai M, Guan W, Garg P, Verschuren WMM, Boer JMA, Biokstra A, Virtanen J, Wagner M, Westra J, Albuisson L, Yamagishi K, Siscovick DS, Lemaitre RN, Mozaffarian D. Omega-3 Blood Levels and Stroke Risk: A Pooled and Harmonized Analysis of 183 291 Participants From 29 Prospective Studies. Stroke 2024; 55:50-58. [PMID: 38134264 PMCID: PMC10840378 DOI: 10.1161/strokeaha.123.044281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The effect of marine omega-3 PUFAs on risk of stroke remains unclear. METHODS We investigated the associations between circulating and tissue omega-3 PUFA levels and incident stroke (total, ischemic, and hemorrhagic) in 29 international prospective cohorts. Each site conducted a de novo individual-level analysis using a prespecified analytical protocol with defined exposures, covariates, analytical methods, and outcomes; the harmonized data from the studies were then centrally pooled. Multivariable-adjusted HRs and 95% CIs across omega-3 PUFA quintiles were computed for each stroke outcome. RESULTS Among 183 291 study participants, there were 10 561 total strokes, 8220 ischemic strokes, and 1142 hemorrhagic strokes recorded over a median of 14.3 years follow-up. For eicosapentaenoic acid, comparing quintile 5 (Q5, highest) with quintile 1 (Q1, lowest), total stroke incidence was 17% lower (HR, 0.83 [CI, 0.76-0.91]; P<0.0001), and ischemic stroke was 18% lower (HR, 0.82 [CI, 0.74-0.91]; P<0.0001). For docosahexaenoic acid, comparing Q5 with Q1, there was a 12% lower incidence of total stroke (HR, 0.88 [CI, 0.81-0.96]; P=0.0001) and a 14% lower incidence of ischemic stroke (HR, 0.86 [CI, 0.78-0.95]; P=0.0001). Neither eicosapentaenoic acid nor docosahexaenoic acid was associated with a risk for hemorrhagic stroke. These associations were not modified by either baseline history of AF or prevalent CVD. CONCLUSIONS Higher omega-3 PUFA levels are associated with lower risks of total and ischemic stroke but have no association with hemorrhagic stroke.
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Affiliation(s)
- James H O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | | | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD
- University of South Dakota, Sioux Falls, SD
| | - Evan L O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, SD
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - John Attia
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - G Manohar Garg
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - Alexis Hure
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | | | - Erik Berg Schmidt
- Aalborg University Hospital, Department of Clinical Medicine, Aalborg, Denmark
| | - Stine Krogh Venø
- Aalborg University Hospital, Department of Clinical Biochemistry, Aalborg, Denmark
| | - Kuo-Liong Chien
- National Taiwan University, Institute of Epidemiology and Preventive Medicine, Taipei Taiwan
| | - Yun-Yu (Amelia) Chen
- Taichung Veterans General Hospital, Department of Medical Research, Taichung, Taiwan
| | - Sarah Egert
- University of Bonn, Institute of Nutrition and Food Sciences and Nutritional Physiology, Bonn, Germany
| | | | - Johan Ärnlöv
- Karolinska Institutet, Division of Family Medicine and Primary Care, Department of Neurobiology Care Sciences & Society, Solna, Sweden
| | - Lars Lind
- Uppsala University, Department of Medical Sciences Cardiovascular Epidemiology, Uppsala, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Johanna M Geleijnse
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Kamalita Pertiwi
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Vanessa de Mello Laaksonen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - W Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- University of Eastern Finland, School of Medicine, Department of Internal Medicine, Kuopio, Finland
| | - Maria Anneli Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Danielle Laurin
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Pierre-Hugues Carmichael
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Joan Lindsay
- University of Ottawa, School of Epidemiology and Public Health, Ottawa, Canada
| | - Karin Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Federica Laguzzi
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Brenton R Swenson
- University of Washington, Cardiovascular Health Research Unit, Seattle, WA
| | - William T Longstreth
- University of Washington, Departments of Neurology and Epidemiology, Seattle, WA
| | - JoAnn E Manson
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Samia Mora
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Nancy R Cook
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Matti Marklund
- The George Institute for Global Health, University of New South Wales, Newtown, NSW Australia; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland: and Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Debora Melo van Lent
- University of Texas, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX
| | - Rachel Murphy
- University of British Columbia, Cancer Control Research, British Columbia Cancer, School of Population and Public Health, Vancouver, Canada
| | | | - Toshihara Ninomiya
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Yoichiro Hirakawa
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Frank Qian
- Harvard Medical School, T.H. Chan School of Public Health and Beth Deaconess Medical Center, Boston, MA
| | - Qi Sun
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | - Frank Hu
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | | | - Ulf Risérus
- Uppsala University, Department of Public Health and Caring Sciences Clinical Nutrition and Metabolism Unit, Uppsala, Sweden
| | - Iolanda Lázaro
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Cecilia Samieri
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Mélanie Le Goff
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Catherine Helmer
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Marinka Steur
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Trudy Voortman
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - M Kamran Ikram
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Luigi Ferrucci
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Michael Tsai
- University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, MN
| | - Weihua Guan
- University of Minnesota, Division of Biostatistics, Minneapolis, MN
| | - Parveen Garg
- University of Southern California, Department of Medicine, Cardiology, Los Angeles, CA
| | - WM Monique Verschuren
- National Institute for Public Health and the Environment Bilthoven, The Netherlands, Julius Center for Health Sciences and Primary Care and Centre for Nutrition, Prevention and Health Services, Utrecht, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Anneke Biokstra
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Jyrki Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael Wagner
- University Hospital, Depts of Neurodegenerative Diseases and Geriatric Psychiatry and German Center for Neurodegenerative Diseases, Bonn, Germany
| | | | | | - Kazumasa Yamagishi
- University of Tsukubu, Department of Public Health Medicine, Tsukuba, Japan
| | - David S Siscovick
- New York Academy of Medicine, Department of Epidemiology, New York, New York
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van der Burgh AC, Sedaghat S, Ikram MA, Hoorn EJ, Chaker L. Trajectories of kidney function and risk of mortality. Int J Epidemiol 2023; 52:1959-1967. [PMID: 37649343 PMCID: PMC10749765 DOI: 10.1093/ije/dyad111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 08/09/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND We aimed to identify patterns within the rate of kidney function decline, determinants of these patterns and their association with all-cause mortality risk in the general population. METHODS Participants aged ≥ 45 years with at least one assessment of creatinine-based estimated glomerular filtration rate (eGFR) taken between 1997 and 2018 were selected from a population-based cohort study. Analyses were performed using several distinct latent class trajectory modelling methods. Cumulative incidences were calculated with 45 years of age as the starting point. RESULTS In 12 062 participants (85 922 eGFR assessments, mean age 67.0 years, 58.7% women, median follow-up 9.6 years), four trajectories of eGFR change with age were identified: slow eGFR decline [rate of change in mL/min/1.73 m2 per year (RC), -0.9; 95% CI, -0.9 to -0.9; reference group], intermediate eGFR decline (RC, -2.5; 95% CI, -2.7 to -2.5) and fast eGFR decline (RC, -4.3; 95% CI, -4.4 to -4.1), and an increase/stable eGFR (RC, 0.3; 95% CI, 0.3 to 0.4). Women were more likely to have an increase/stable eGFR [odds ratio (OR), 1.94; 95% CI, 1.53 to 2.46] whereas men were more likely to have a fast eGFR decline (OR, 1.86; 95% CI, 1.33 to 2.60). Participants with diabetes, cardiovascular disease (CVD) or hypertension were more likely to have an intermediate or fast eGFR decline. All-cause mortality risks (cumulative incidence at age of 70 years) were 32.3% (95% CI, 21.4 to 47.9, slow eGFR decline), 6.7% (95% CI, 3.5 to 12.4, intermediate eGFR decline), 68.8% (95% CI, 44.4 to 87.8, fast eGFR decline) and 9.5% (95% CI, 5.5 to 15.7, increase/stable eGFR). CONCLUSION Sex, hypertension, diabetes and CVD were identified as trajectory membership determinants. Having fast eGFR decline was associated with the highest risk of all-cause mortality, highlighting the need for extensive monitoring and prevention of kidney function decline in individuals at risk of having fast eGFR decline.
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Affiliation(s)
- Anna C van der Burgh
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Sanaz Sedaghat
- Department of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ewout J Hoorn
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Layal Chaker
- Department of Internal Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
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Acarsoy C, Ruiter R, Bos D, Ikram MK. No association between blood-based markers of immune system and migraine status: a population-based cohort study. BMC Neurol 2023; 23:445. [PMID: 38110925 PMCID: PMC10726636 DOI: 10.1186/s12883-023-03496-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 12/08/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Although some evidence implicates the immune system in migraine attacks, its role during attack-free periods remains largely unexplored. Therefore, we assessed the association between the immune system and migraine status. METHODS From the population-based Rotterdam Study, we included 6593 participants who underwent blood sampling and migraine assessments. In the blood samples, we measured white blood-cell-based immune markers. As a marker for the innate immune system, granulocyte and platelet counts were determined, whereas lymphocyte counts were used as a marker for the adaptive immune system. Migraine was assessed using a validated questionnaire based on ICHD-2 criteria. We investigated associations between blood-cell counts and migraine using logistic regression models adjusting for age, sex and other variables. RESULTS Mean age of participants was 65.6 ± 11.2 years and 56.7% were female. The lifetime prevalence of migraine was 15.1% (995/6593). We found no statistically significant associations between granulocyte (odds ratio [OR] per standard deviation increase 1.01 95% Confidence Interval [CI]: 0.93-1.09), platelet (OR 1.01 CI: 0.94-1.09) or lymphocyte counts (OR 1.01 CI: 0.93-1.08) and migraine status. CONCLUSIONS Our results do not support an association between white blood-cell-based immunity markers and migraine status.
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Affiliation(s)
- Cevdet Acarsoy
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Rikje Ruiter
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Internal Medicine, Maasstad Hospital, Rotterdam, the Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
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Keshawarz A, Joehanes R, Ma J, Lee GY, Costeira R, Tsai PC, Masachs OM, Bell JT, Wilson R, Thorand B, Winkelmann J, Peters A, Linseisen J, Waldenberger M, Lehtimäki T, Mishra PP, Kähönen M, Raitakari O, Helminen M, Wang CA, Melton PE, Huang RC, Pennell CE, O’Sullivan TA, Ochoa-Rosales C, Voortman T, van Meurs JB, Young KL, Graff M, Wang Y, Kiel DP, Smith CE, Jacques PF, Levy D. Dietary and supplemental intake of vitamins C and E is associated with altered DNA methylation in an epigenome-wide association study meta-analysis. Epigenetics 2023; 18:2211361. [PMID: 37233989 PMCID: PMC10228397 DOI: 10.1080/15592294.2023.2211361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 04/28/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Dietary intake of antioxidants such as vitamins C and E protect against oxidative stress, and may also be associated with altered DNA methylation patterns. METHODS We meta-analysed epigenome-wide association study (EWAS) results from 11,866 participants across eight population-based cohorts to evaluate the association between self-reported dietary and supplemental intake of vitamins C and E with DNA methylation. EWAS were adjusted for age, sex, BMI, caloric intake, blood cell type proportion, smoking status, alcohol consumption, and technical covariates. Significant results of the meta-analysis were subsequently evaluated in gene set enrichment analysis (GSEA) and expression quantitative trait methylation (eQTM) analysis. RESULTS In meta-analysis, methylation at 4,656 CpG sites was significantly associated with vitamin C intake at FDR ≤ 0.05. The most significant CpG sites associated with vitamin C (at FDR ≤ 0.01) were enriched for pathways associated with systems development and cell signalling in GSEA, and were associated with downstream expression of genes enriched in the immune response in eQTM analysis. Furthermore, methylation at 160 CpG sites was significantly associated with vitamin E intake at FDR ≤ 0.05, but GSEA and eQTM analysis of the top most significant CpG sites associated with vitamin E did not identify significant enrichment of any biological pathways investigated. CONCLUSIONS We identified significant associations of many CpG sites with vitamin C and E intake, and our results suggest that vitamin C intake may be associated with systems development and the immune response.
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Affiliation(s)
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Gha Young Lee
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ricardo Costeira
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
- Department of Biomedical Sciences, Chang Gung University, Taoyuan, Taiwan
- Genomic Medicine Research Core Laboratory, Chang Gung Memorial Hospital, Linkou, Taiwan
| | - Olatz M. Masachs
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jordana T. Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
| | - Barbara Thorand
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University of Munich, Munich, Germany
- Chair of Neurogenetics, School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, München, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Chair of Epidemiology, Medical Faculty, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Jakob Linseisen
- Chair of Epidemiology, University Augsburg at University Hospital Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstrasse 1, Neuherberg, Germany
- German Center for Cardiovascular Research (DZHK), München Heart Alliance, Munich, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Helminen
- Tays Research Services, Tampere University Hospital, Tampere, Finland
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Carol A. Wang
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, New South Wales, Australia
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Phillip E. Melton
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
- School of Population and Global Health, University of Western Australia, Perth, Australia
| | - Rae-Chi Huang
- Nutrition & Health Innovation Research Institute, Edith Cowan University, Perth, Australia
| | - Craig E. Pennell
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | | | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
- Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Joyce B.J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Kristin L. Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Misa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Yujie Wang
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Hebrew Senior Life, Chapel Hill, North Carolina, USA
| | - Douglas P. Kiel
- Department of Medicine, Beth Israel Deaconess Medical Center, Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Paul F. Jacques
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, Framingham, MA, USA
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
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Güngör SA, Köse M, Tümer M, Türkeş C, Beydemir Ş. Synthesis, characterization and docking studies of benzenesulfonamide derivatives containing 1,2,3-triazole as potential ınhibitor of carbonic anhydrase I-II enzymes. J Biomol Struct Dyn 2023; 41:10919-10929. [PMID: 36576122 DOI: 10.1080/07391102.2022.2159531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/10/2022] [Indexed: 12/29/2022]
Abstract
Carbonic Anhydrases (CAs) are an important family of metalloenzymes that contain zinc (Zn2+) ions in their active site and catalyze the conversion of carbon dioxide to bicarbonate and proton and found in all living organisms. Sulfonamides are well-known inhibitors of CAs isoenzymes. In this study, a series of benzenesulfonamide derivatives (9a-h) containing 1,2,3-triazole-moiety were designed, synthesized and their structures were characterized by spectroscopic methods. In addition, molecular structures of compounds 5a, 5 b, 9e and 9f were elucidated by X-ray diffraction technique. To investigate drug similarity of 9a-h compounds, Lipinski's five rules (ADMET: absorption, distribution, metabolism, excretion and toxicity) were carried out by in silico studies. According to results, the compounds showed drug-like properties. Docking studies were applied to determine the scores, interactions and binding modes of compounds 9a-h against hCA I and hCA II enzymes. Compound 9c (-5.13 kcal/mol docking score) against hCA I enzyme and 9 h (-5.32 kcal/mol docking score) against hCA II enzyme showed potent inhibitory properties. The binding interactions of the compounds with the carbonic anhydrases were examined by docking studies.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Seyit Ali Güngör
- Chemistry Department, Faculty of Science, Kahramanmaras Sütcü Imam University, Kahramanmaras, Turkey
| | - Muhammet Köse
- Chemistry Department, Faculty of Science, Kahramanmaras Sütcü Imam University, Kahramanmaras, Turkey
| | - Mehmet Tümer
- Chemistry Department, Faculty of Science, Kahramanmaras Sütcü Imam University, Kahramanmaras, Turkey
| | - Cüneyt Türkeş
- Department of Biochemistry, Faculty of Pharmacy, Erzincan Binali Yıldırım University, Erzincan, Turkey
| | - Şükrü Beydemir
- Department of Biochemistry, Faculty of Pharmacy, Anadolu University, Eskişehir, Turkey
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Vergroesen JE, Thee EF, de Crom TOE, Kiefte-de Jong JC, Meester-Smoor MA, Voortman T, Klaver CCW, Ramdas WD. The inflammatory potential of diet is associated with the risk of age-related eye diseases. Clin Nutr 2023; 42:2404-2413. [PMID: 37865012 DOI: 10.1016/j.clnu.2023.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 10/23/2023]
Abstract
BACKGROUND & AIMS Inflammation is involved in the pathogenesis of cataract, age-related macular degeneration (AMD), and possibly open-angle glaucoma (OAG). We assessed whether the inflammatory potential of diet (quantified using the dietary inflammatory index; DII) affects the incidence of these common blinding age-related eye diseases. Serum inflammation markers were investigated as possible mediators. METHODS Participants aged >45 years were selected from the prospective, population-based Rotterdam Study. From 1991 onwards, every 4-5 years, participants underwent extensive eye examinations. At baseline, blood samples and dietary data (using food frequency questionnaires) were collected. The DII was adapted based on the data available. Of the 7436 participants free of eye diseases at baseline, 4036 developed incident eye diseases during follow-up (cataract = 2895, early-intermediate AMD = 891, late AMD = 81, OAG = 169). RESULTS The adapted DII (aDII) ranged from -4.26 (i.e., anti-inflammatory) to 4.53 (i.e., pro-inflammatory). A higher aDII was significantly associated with increased inflammation. A higher neutrophil-lymphocyte ratio (NLR) was associated with an increased risk of cataract and AMD. Additionally, complement component 3c (C3c) and systemic immune-inflammation index (SII) were associated with increased risks of cataract and late AMD, respectively. Every point increase in the aDII was associated with a 9% increased risk of cataract (Odds ratio [95% confidence interval]: 1.09 [1.04-1.14]). The NLR and C3c partly mediated this association. We also identified associations of the aDII with risk of AMD (early-intermediate AMD, OR [95% CI]: 1.11 [1.03-1.19]; late AMD, OR [95% CI]: 1.24 [1.02-1.53]). The NLR partly mediated these associations. The aDII was not associated with OAG. CONCLUSIONS A pro-inflammatory diet was associated with increased risks of cataract and AMD. Particularly the NLR, a marker of subclinical inflammation, appears to be implicated. These findings are relevant for patients with AMD and substantiate the current recommendations to strive for a healthy lifestyle to prevent blindness.
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Affiliation(s)
- Joëlle E Vergroesen
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Eric F Thee
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; EyeNED Reading Center, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Tosca O E de Crom
- Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Jessica C Kiefte-de Jong
- Department of Public Health and Primary Care/Health Campus The Hague, Leiden University Medical Centre, The Hague, The Netherlands.
| | - Magda A Meester-Smoor
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, P.O. Box 17 6700 AA Wageningen, the Netherlands.
| | - Caroline C W Klaver
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; EyeNED Reading Center, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands; Department of Ophthalmology, Radboud University Medical Center, P.O. Box 9101, 6500 HB Nijmegen, the Netherlands; Institute of Molecular and Clinical Ophthalmology, University of Basel, CH-4031 Basel, Switzerland.
| | - Wishal D Ramdas
- Department of Ophthalmology, Erasmus MC University Medical Center, P.O. Box 2040, 3000 CA Rotterdam, the Netherlands.
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Chen J, Arshi B, Waqas K, Lu T, Bos D, Ikram MA, Uitterlinden AG, Kavousi M, Zillikens MC. Advanced glycation end products measured by skin autofluorescence and subclinical cardiovascular disease: the Rotterdam Study. Cardiovasc Diabetol 2023; 22:326. [PMID: 38017418 PMCID: PMC10685533 DOI: 10.1186/s12933-023-02052-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/03/2023] [Indexed: 11/30/2023] Open
Abstract
BACKGROUND Advanced glycation end products (AGEs) have been linked to cardiovascular disease (CVD), especially coronary heart disease (CHD), but their role in CVD pathogenesis remains unclear. Therefore, we investigated cross-sectional associations of skin AGEs with subclinical atherosclerosis, arterial stiffness, and hypertension after confirming their relation with CHD. METHODS In the population-based Rotterdam Study, skin AGEs were measured as skin autofluorescence (SAF). Prevalent MI was obtained from digital medical records. Carotid plaques, carotid intima-media thickness (IMT), coronary artery calcification (CAC), pulse wave velocity (PWV), and hypertension were assessed. Associations of SAF with endophenotypes were investigated in logistic and linear regression models adjusting for common cardiovascular risk factors. Effect modification by sex, diabetes mellitus, and chronic kidney disease (CKD) was tested. RESULTS 3001 participants were included (mean age 73 (SD 9) years, 57% women). One unit higher SAF was associated with the presence of carotid plaques (OR 1.2 (0.92, 1.57)), a higher max IMT (0.08 SD (0.01, 0.15)), higher CAC (OR 2.2 (1.39, 3.48)), and PWV (0.09 SD (0.01, 0.16)), but not with hypertension (OR 0.99 (0.81, 1.21)). The associations with endophenotypes were more pronounced in men and participants with diabetes or CKD with significant interactions. CONCLUSIONS Previously documented associations between SAF and CVD, also found in our study, may be explained by the endophenotypes atherosclerosis and arterial stiffness, especially in men and individuals with diabetes or CKD, but not by hypertension. Longitudinal studies are needed to replicate these findings and to test if SAF is an independent risk factor or biomarker of CVD. TRIAL REGISTRATION The Rotterdam Study has been entered into the Netherlands National Trial Register (NTR; www.trialregister.nl ) and the WHO International Clinical Trials Registry Platform (ICTRP; www.who.int/ictrp/network/primary/en/ ) under shared catalogue number NTR6831.
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Affiliation(s)
- Jinluan Chen
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015GD, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Banafsheh Arshi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Komal Waqas
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015GD, Rotterdam, The Netherlands
| | - Tianqi Lu
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015GD, Rotterdam, The Netherlands
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015GD, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, 3015GD, Rotterdam, The Netherlands.
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Yaqub A, Khan SR, Vernooij MW, van Hagen PM, Peeters RP, Ikram MA, Chaker L, Dalm VASH. Serum immunoglobulins and biomarkers of dementia: a population-based study. Alzheimers Res Ther 2023; 15:194. [PMID: 37936180 PMCID: PMC10629143 DOI: 10.1186/s13195-023-01333-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 10/15/2023] [Indexed: 11/09/2023]
Abstract
BACKGROUND Inflammation plays a key role in the development of dementia, but its link to early biomarkers, particularly those in plasma or neuroimaging, remains elusive. This study aimed to investigate the association between serum immunoglobulins and biomarkers of dementia. METHODS Between 1997 and 2009, serum immunoglobulins (IgA, IgG and IgM) were measured in dementia-free participants of the population-based Rotterdam Study. A random subset of participants had assessment of biomarkers in plasma (total tau (t-tau), neurofilament light chain (NfL), amyloid-β40 (Aβ-40), amyloid-β42 (Aβ-42), while another subset of participants underwent neuroimaging to quantify brain volume, white matter structural integrity and markers of cerebral small vessel disease. Linear regression models were constructed to determine cross-sectional associations between IgA, IgG, IgM and biomarkers of dementia, with adjustment for potential confounders. Multiple testing correction was applied using the false discovery rate. As a sensitivity analysis, we re-ran the models for participants within the reference range of immunoglobulins, excluding those using immunomodulating drugs, and conducted a stratified analysis by APOE-ε4 carriership and sex. RESULTS Of 8,768 participants with serum immunoglobulins, 3,455 participants (65.8 years [interquartile range (IQR): 61.5-72.0], 57.2% female) had plasma biomarkers available and 3,139 participants (57.4 years [IQR: 52.7-60.7], 54.4% female) had neuroimaging data. Overall, no associations between serum immunoglobulins and biomarkers of dementia remained significant after correction for multiple testing. However, several suggestive associations were noted: higher serum IgA levels concurred with lower plasma levels of Aβ-42 (standardized adjusted mean difference: -0.015 [95% confidence interval (CI): -0.029--0.002], p = 2.8 × 10-2), and a lower total brain volume, mainly driven by less gray matter (-0.027 [-0.046--0.008], p = 6.0 × 10-3) and more white matter hyperintensities (0.047 [0.016 - 0.077], p = 3.0 × 10-3). In sensitivity analyses, higher IgM was linked to lower t-tau, Aβ-40, and Aβ-42, but also a loss of white matter microstructural integrity. Stratified analyses indicate that these associations potentially differ between carriers and non-carriers of the APOE-ε4 allele and men and women. CONCLUSIONS While associations between serum immunoglobulins and early markers of dementia could not be established in this population-based sample, it may be valuable to consider factors such as APOE-ε4 allele carriership and sex in future investigations.
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Affiliation(s)
- Amber Yaqub
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Samer R Khan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Allergy & Clinical Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - P Martin van Hagen
- Department of Internal Medicine, Division of Allergy & Clinical Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Robin P Peeters
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Division of Endocrinology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Virgil A S H Dalm
- Department of Internal Medicine, Division of Allergy & Clinical Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
- Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands.
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George CD, Tokez S, Hollestein L, Pardo LM, Keurentjes AJ, Wakkee M, Nijsten T. Longitudinal Assessment of the Prevalence of Actinic Keratosis and Extensive Risk Factor Evaluation: An Update from the Rotterdam Study. J Invest Dermatol 2023; 143:2193-2203.e12. [PMID: 37169068 DOI: 10.1016/j.jid.2023.02.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 05/13/2023]
Abstract
Population-based studies available to analyze the prevalence, risk factors, and longitudinal outlook of actinic keratoses (AKs) are limited. These features mentioned earlier were assessed using Rotterdam study participants aged ≥40 years who underwent a full-body skin examination by a dermatology-trained physician. ORs with 95% confidence intervals were calculated for the associations between risk factors and the presence of AK. Among 8,239 eligible participants, the prevalence of one or more AKs was 21.1% (95% confidence interval = 20.2-22.0) and was higher in men. Male sex, age, lighter hair and eye color, baldness, genetic risk score, and digital photoaging measures (digitally assessed pigmented spots, telangiectasias, and global facial wrinkling) had a positive association with AK. Cigarette smokers had reduced odds of having AK, with current smokers having the lowest risk. Among patients with two AK assessments, there was no difference in the presence of AK during follow-up between treated and untreated participants. In conclusion, genetic risk score and digital photoaging measures showed associations with increased lesion count. At the individual level, patients were most likely to decrease in AK severity group over time, possibly regardless of whether or not participants were treated.
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Affiliation(s)
- Christopher D George
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands; Department of Dermatology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA
| | - Selin Tokez
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Loes Hollestein
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Luba M Pardo
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anne J Keurentjes
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marlies Wakkee
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Tamar Nijsten
- Departmentof Dermatology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, The Netherlands.
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48
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Runhaar J, van Berkel AC, Agricola R, van Meurs J, Bierma-Zeinstra SMA. Risk Factors and Population-Attributable Fractions for Incident Hip Osteoarthritis. HSS J 2023; 19:407-412. [PMID: 37937087 PMCID: PMC10626934 DOI: 10.1177/15563316231192461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/09/2023] [Indexed: 11/09/2023]
Abstract
Background Despite the huge burden of hip osteoarthritis (OA) and the lack of effective treatment, research into the primary prevention of hip OA is in its infancy. Purpose We sought to evaluate risk factors for incident clinical and incident radiographic hip OA among middle-aged and older adults, to evaluate the importance of risk factors from a preventive perspective, and to estimate the percentage of new cases attributable to these risk factors. Methods We retrospectively reviewed data from the Rotterdam study, an open-population cohort study of individuals aged 55 years or older. Data including baseline age, sex, body mass index, smoking status, education level, diagnosis of diabetes, C-reactive protein (CRP), cam morphology, acetabular dysplasia, radiographic thumb OA, radiographic hip OA, and hip pain were assessed for their association with incident clinical hip OA and incident radiographic hip OA separately, after 11 years of follow-up. The population-attributable fractions (PAFs) of statistically significant modifiable risk factors were calculated, as well. Results New onset of clinical hip OA was seen in 19.9% (544 of 2729) and incident radiographic hip OA in 9.9% (329 of 3309). Female sex, education level below average (PAF 21.4%), and radiographic hip OA (PAF 3.4%) were statistically significantly associated with incident clinical hip OA. Female sex, age, overweight (PAF 20.0%), cam morphology (PAF 7.9%), acetabular dysplasia (PAF 3.6%), and radiographic thumb OA (PAF 4.7%) were statistically significantly associated with radiographic hip OA. Conclusions Our retrospective analysis suggests that, from a primary prevention perspective, the most important modifiable risk factors among middle-aged and older individuals may be low educational level for incident clinical hip OA and overweight for incident radiographic hip OA. Further study is warranted.
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Affiliation(s)
- Jos Runhaar
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Annemaria C van Berkel
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Rintje Agricola
- Department of Orthopedics & Sports Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Orthopedic Surgery, St Anna Hospital, Geldrop, the Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Orthopedics & Sports Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
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49
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Velde HM, Homans NC, Goedegebure A, Lanting CP, Pennings RJE, Kremer H. Analysis of Rotterdam Study cohorts confirms a previously identified RIPOR2 in-frame deletion as a prevalent genetic factor in phenotypically variable adult-onset hearing loss (DFNA21) in the Netherlands. J Med Genet 2023; 60:1061-1066. [PMID: 37164627 DOI: 10.1136/jmg-2023-109146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 04/16/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND A 12-nucleotide RIPOR2 in-frame deletion was recently identified as a relatively common and highly penetrant cause of autosomal dominant non-syndromic sensorineural hearing loss, type DFNA21, in the Netherlands. The associated hearing phenotype is variable. The allele frequency (AF) of 0.039% of this variant was determined in a local cohort, and the reported phenotype may be biased because studied families were identified based on index patients with hearing loss (HL). In this study, we determine the AF in a cohort from a different geographical region of the Netherlands. Additionally, we examine the hearing phenotype in individuals with the variant but not selected for HL. METHODS The AF was determined in participants of the Rotterdam Study (RS), a large cohort study. The phenotype was characterised using individual clinical hearing data, including audiograms. RESULTS The observed AF in the RS cohort was 0.072% and not statistically significantly different from the previously observed 0.039%. The AF in the two cohorts combined was 0.052%. Consistent with previous findings, we found a highly variable audiometric phenotype with non-penetrance of HL in 40% of subjects aged 55-81, which is higher than the 10% at age 50 previously observed. CONCLUSION We found an overall higher AF and lower penetrance than previously reported, confirming that DFNA21 is relatively common in the Netherlands. This supports its potential suitability as a target for therapeutic development. Studying possible modifying factors is essential to explain the phenotypical variability and to identify patients eligible for such a therapy.
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Affiliation(s)
- Hedwig M Velde
- Department of Otorhinolaryngology, Radboudumc, Nijmegen, The Netherlands
- Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Nienke C Homans
- Department of Otorhinolaryngology Head and Neck Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | - André Goedegebure
- Department of Otorhinolaryngology Head and Neck Surgery, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelis P Lanting
- Department of Otorhinolaryngology, Radboudumc, Nijmegen, The Netherlands
- Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Ronald J E Pennings
- Department of Otorhinolaryngology, Radboudumc, Nijmegen, The Netherlands
- Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Hannie Kremer
- Donders Institute for Brain Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Otorhinolaryngology and Department of Human Genetics, Radboudumc, Nijmegen, The Netherlands
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50
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Kim JS, Agricola R, Kim YJ, Lane NE, Millis MB, Nelson AE, Runhaar J, Shefelbine SJ, Bostrom MP. Arthritis Foundation/HSS Workshop on Hip Osteoarthritis, Part 1: Epidemiology, Early Development, and Cohorts From Around the World. HSS J 2023; 19:395-401. [PMID: 37937080 PMCID: PMC10626936 DOI: 10.1177/15563316231189748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 06/02/2023] [Indexed: 11/09/2023]
Abstract
Far more publications are available for osteoarthritis of the knee than of the hip. Recognizing this research gap, the Arthritis Foundation, in partnership with the Hospital for Special Surgery, convened an in-person meeting of thought leaders to review the state of the science of and clinical approaches to hip osteoarthritis. This article summarizes the recommendations and clinical research gaps gleaned from 5 presentations given in the "how hip osteoarthritis begins" session of the 2023 Hip Osteoarthritis Clinical Studies Conference, which took place on February 17 and 18, 2023, in New York City.
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Affiliation(s)
| | - Rintje Agricola
- Department of Orthopaedic Surgery, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Young-Jo Kim
- Department of Orthopedic Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Nancy E Lane
- Department of Medicine and Rheumatology, University of California, Davis Medical Center, Sacramento, CA, USA
| | - Michael B Millis
- Department of Orthopedic Surgery, Boston Children's Hospital, Boston, MA, USA
| | - Amanda E Nelson
- Division of Rheumatology, Allergy, and Immunology, Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jos Runhaar
- Department of General Practice, Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Sandra J Shefelbine
- Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA
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