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Zhou Y, You Y, Zhang Y, Zhang Y, Yuan C, Xu X. Multimorbidity and risk of dementia: A systematic review and meta-analysis of longitudinal cohort studies. J Prev Alzheimers Dis 2025:100164. [PMID: 40246681 DOI: 10.1016/j.tjpad.2025.100164] [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: 01/19/2025] [Revised: 04/03/2025] [Accepted: 04/03/2025] [Indexed: 04/19/2025]
Abstract
BACKGROUND Chronic diseases (e.g., hypertension, diabetes, and heart diseases) have been proposed as marked predictors of incident dementia. However, synthesised evidence on the effect of multimorbidity on dementia is still lacking. We aim to summarise the association between multimorbidity and risk of dementia in longitudinal cohorts. METHODS In this systematic review and meta-analysis, we conducted a systematic search in PubMed, Web of Science and Embase from inception to Dec 14, 2024, to identify longitudinal cohort studies reporting the association between multimorbidity or multimorbidity patterns and risk of dementia. Information of included studies were extracted by three reviewers (YaZ, YY and YuZ), and the quality assessment was conducted using the Newcastle-Ottawa Scale. The inverse-variance weighted random effects meta-analysis was performed to obtain the pooled hazard ratios (HRs) and 95 % confidence intervals (CIs) for dementia associated with multimorbidity and cardiometabolic multimorbidity (CMM). Cochran's Q test and the I2 statistic were used to indicate heterogeneity among the studies. Meta-regression analysis, subgroup analysis and sensitivity analysis were conducted to determine any valid sources of heterogeneity. This study was registered with PROSPERO (CRD42023403684). RESULTS We included 17 longitudinal cohort studies (2262,885 middle-aged and older participants) in the systematic review, of which seven were included in meta-analysis. All studies presented moderate to high methodological quality. Meta-analysis showed a positive association between multimorbidity and incident dementia (HR=1.53, 95 % CI=1.12 to 2.09), with substantial heterogeneity (I2=95.2 %). Studies using health records to measure dementia tend to find a stronger positive relationship between multimorbidity and risk of dementia than those using self-report (HRhealth records=1.94, 95 % CI=1.35 to 2.78, I2=94 %; HRself-report=1.17, 95 % CI=1.07 to 1.28, I2=0 %). The impacts of CMM were also observed, and the HRs for dementia ranged from 2.49 (combination of heart diseases and stroke: 95 % CI=1.64 to 3.78) to 3.77 (combination of diabetes, heart diseases and stroke: 95 % CI=2.02 to 7.02). The heterogeneity was moderate, with I2 ranging from 46.9 % (p for heterogeneity=0.152) to 84.1 % (p for heterogeneity=0.002). The impacts of number of diseases, multimorbidity clusters, and multimorbidity trajectory on risk of dementia were narratively summarised due to lacking comparable studies. Limited evidence (only one study) precluded quantitative synthesis for the association of physical and psychological multimorbidity with dementia. CONCLUSION Multimorbidity and CMM pattern were significantly associated with risk of dementia, while the effect of physical and psychological multimorbidity remain inconclusive. Individuals affected by multimorbidity should be prioritised in risk factor modification and dementia prevention. Preventing the development of multimorbidity is also crucial-particularly those who already have one chronic disease-in order to maintain cognitive health.
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Affiliation(s)
- Yaguan Zhou
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China
| | - Yating You
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China
| | - Yuting Zhang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China
| | - Yue Zhang
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China
| | - Changzheng Yuan
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China
| | - Xiaolin Xu
- School of Public Health, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; The Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Hangzhou, Zhejiang, PR China; School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
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Jackson JT, Nutt SL, McCormack MP. The Haematopoietically-expressed homeobox transcription factor: roles in development, physiology and disease. Front Immunol 2023; 14:1197490. [PMID: 37398663 PMCID: PMC10313424 DOI: 10.3389/fimmu.2023.1197490] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 06/01/2023] [Indexed: 07/04/2023] Open
Abstract
The Haematopoietically expressed homeobox transcription factor (Hhex) is a transcriptional repressor that is of fundamental importance across species, as evident by its evolutionary conservation spanning fish, amphibians, birds, mice and humans. Indeed, Hhex maintains its vital functions throughout the lifespan of the organism, beginning in the oocyte, through fundamental stages of embryogenesis in the foregut endoderm. The endodermal development driven by Hhex gives rise to endocrine organs such as the pancreas in a process which is likely linked to its role as a risk factor in diabetes and pancreatic disorders. Hhex is also required for the normal development of the bile duct and liver, the latter also importantly being the initial site of haematopoiesis. These haematopoietic origins are governed by Hhex, leading to its crucial later roles in definitive haematopoietic stem cell (HSC) self-renewal, lymphopoiesis and haematological malignancy. Hhex is also necessary for the developing forebrain and thyroid gland, with this reliance on Hhex evident in its role in endocrine disorders later in life including a potential role in Alzheimer's disease. Thus, the roles of Hhex in embryological development throughout evolution appear to be linked to its later roles in a variety of disease processes.
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Affiliation(s)
- Jacob T. Jackson
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Stephen L. Nutt
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Matthew P. McCormack
- The Australian Centre for Blood Diseases, Monash University, Melbourne, VIC, Australia
- iCamuno Biotherapeutics, Melbourne, VIC, Australia
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Vaňková M, Velíková M, Vejražková D, Včelák J, Lukášová P, Rusina R, Vaňková H, Jarolímová E, Kancheva R, Bulant J, Horáčková L, Bendlová B, Hill M. The Role of Steroidomics in the Diagnosis of Alzheimer's Disease and Type 2 Diabetes Mellitus. Int J Mol Sci 2023; 24:ijms24108575. [PMID: 37239922 DOI: 10.3390/ijms24108575] [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: 03/14/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Epidemiological studies suggest an association between Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM). This study aimed to investigate the pathophysiological markers of AD vs. T2DM for each sex separately and propose models that would distinguish control, AD, T2DM, and AD-T2DM comorbidity groups. AD and T2DM differed in levels of some circulating steroids (measured mostly by GC-MS) and in other observed characteristics, such as markers of obesity, glucose metabolism, and liver function tests. Regarding steroid metabolism, AD patients (both sexes) had significantly higher sex hormone binding globulin (SHBG), cortisol, and 17-hydroxy progesterone, and lower estradiol and 5α-androstane-3α,17β-diol, compared to T2DM patients. However, compared to healthy controls, changes in the steroid spectrum (especially increases in levels of steroids from the C21 group, including their 5α/β-reduced forms, androstenedione, etc.) were similar in patients with AD and patients with T2DM, though more expressed in diabetics. It can be assumed that many of these steroids are involved in counter-regulatory protective mechanisms that mitigate the development and progression of AD and T2DM. In conclusion, our results demonstrated the ability to effectively differentiate AD, T2DM, and controls in both men and women, distinguish the two pathologies from each other, and differentiate patients with AD and T2DM comorbidities.
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Affiliation(s)
- Markéta Vaňková
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Marta Velíková
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | | | - Josef Včelák
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Petra Lukášová
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Robert Rusina
- Department of Neurology, Third Faculty of Medicine, Charles University and Thomayer University Hospital, Ruská 2411, 100 00 Prague, Czech Republic
| | - Hana Vaňková
- Third Faculty of Medicine, Charles University, Ruská 2411, 100 00 Prague, Czech Republic
| | - Eva Jarolímová
- Third Faculty of Medicine, Charles University, Ruská 2411, 100 00 Prague, Czech Republic
| | - Radmila Kancheva
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Josef Bulant
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Lenka Horáčková
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Běla Bendlová
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
| | - Martin Hill
- Institute of Endocrinology, Národní 8, 110 00 Prague, Czech Republic
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Dove A, Guo J, Marseglia A, Fastbom J, Vetrano DL, Fratiglioni L, Pedersen NL, Xu W. Cardiometabolic multimorbidity and incident dementia: the Swedish twin registry. Eur Heart J 2022; 44:573-582. [PMID: 36577740 PMCID: PMC9925275 DOI: 10.1093/eurheartj/ehac744] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 11/01/2022] [Accepted: 11/29/2022] [Indexed: 12/30/2022] Open
Abstract
AIMS Cardiometabolic diseases (CMDs), including diabetes, heart disease, and stroke, are established risk factors for dementia, but their combined impact has been investigated only recently. This study aimed to examine the association between mid- and late-life cardiometabolic multimorbidity and dementia and explore the role of genetic background in this association. METHODS AND RESULTS Within the Swedish Twin Registry, 17 913 dementia-free individuals aged ≥60 were followed for 18 years. CMDs [including age of onset in mid (60) or late (≥60) life] and dementia were ascertained from medical records. Cardiometabolic multimorbidity was defined as having ≥2 CMDs. Cox regression was used to estimate the CMD-dementia association in (i) a classical cohort study design and (ii) a co-twin study design involving 356 monozygotic and dizygotic pairs. By comparing the strength of the association in the two designs, the contribution of genetic background was estimated. At baseline, 3,312 (18.5%) participants had 1 CMD and 839 (4.7%) had ≥2 CMDs. Over the follow-up period, 3,020 participants developed dementia. In the classic cohort design, the hazard ratio (95% confidence interval) of dementia was 1.42 (1.27-1.58) for 1 CMD and 2.10 (1.73-2.57) for ≥2 CMDs. Dementia risk was stronger with mid-life as opposed to late-life CMDs. In the co-twin design, the CMD-dementia association was attenuated among monozygotic [0.99 (0.50-1.98)] but not dizygotic [1.55 (1.15-2.09)] twins, suggesting that the association was in part due to genetic factors common to both CMDs and dementia. CONCLUSION Cardiometabolic multimorbidity, particularly in mid-life, is associated with an increased risk of dementia. Genetic background may underpin this association.
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Affiliation(s)
- Abigail Dove
- Corresponding author. Tel: +46 085 248 5837, Fax: +46 0831 1101,
| | - Jie Guo
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Solna SE-17165, Sweden
| | - Anna Marseglia
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet, Blickagången 16, Huddinge SE-14183, Sweden
| | - Johan Fastbom
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Solna SE-17165, Sweden
| | - Davide Liborio Vetrano
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Solna SE-17165, Sweden,Stockholm Gerontology Research Center, Sveavägen 115, Stockholm SE-11346, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Solna SE-17165, Sweden,Stockholm Gerontology Research Center, Sveavägen 115, Stockholm SE-11346, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobel väg 12A, Solna SE-17165, Sweden
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Wang J, Dove A, Song R, Qi X, Ma J, Bennett DA, Xu W. Poor pulmonary function is associated with mild cognitive impairment, its progression to dementia, and brain pathologies: A community-based cohort study. Alzheimers Dement 2022; 18:2551-2559. [PMID: 35184372 PMCID: PMC10078691 DOI: 10.1002/alz.12625] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 01/10/2022] [Accepted: 01/25/2022] [Indexed: 01/31/2023]
Abstract
INTRODUCTION The relationship between pulmonary function (PF) and mild cognitive impairment (MCI), dementia, and brain pathologies remains unclear. METHODS A total of 1312 dementia-free participants, including a cognitively intact group (n = 985) and an MCI group (n = 327), were followed for up to 21 years to detect incident MCI and dementia. PF was assessed at baseline with a composite score and tertiled. Over follow-up, 540 participants underwent autopsies for neuropathological assessment. RESULTS Compared to the highest PF, the hazard ratios (95% confidence intervals [CIs]) of the lowest PF were 1.95 (1.43-2.66) for MCI in the cognitively intact group and 1.55 (1.03-2.33) for dementia in the MCI group. Low PF was further related to Alzheimer's disease pathology (odds ratio [OR] 1.32, 95% CI 1.19-1.47) and vascular pathology (OR 3.05, 95% CI 1.49-6.25). DISCUSSION Low PF increases MCI risk and accelerates MCI progression to dementia. Both neurodegenerative and vascular mechanisms may underlie the PF-dementia association.
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Affiliation(s)
- Jiao Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Abigail Dove
- Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Stockholm, Sweden
| | - Ruixue Song
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Shandong Provincial Clinical Research Center for Emergency and Critical Care Medicine, Institute of Emergency and Critical Care Medicine of Shangdong University, Qilu Hospital of Shangdong University, Jinan, China
| | - Xiuying Qi
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Jun Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Weili Xu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.,Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China.,Department of Neurobiology, Karolinska Institutet, Care Sciences and Society, Stockholm, Sweden
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6
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Jia T, Chu C, Liu Y, van Dongen J, Papastergios E, Armstrong NJ, Bastin ME, Carrillo-Roa T, den Braber A, Harris M, Jansen R, Liu J, Luciano M, Ori APS, Roiz Santiañez R, Ruggeri B, Sarkisyan D, Shin J, Sungeun K, Tordesillas Gutiérrez D, Van't Ent D, Ames D, Artiges E, Bakalkin G, Banaschewski T, Bokde ALW, Brodaty H, Bromberg U, Brouwer R, Büchel C, Burke Quinlan E, Cahn W, de Zubicaray GI, Ehrlich S, Ekström TJ, Flor H, Fröhner JH, Frouin V, Garavan H, Gowland P, Heinz A, Hoare J, Ittermann B, Jahanshad N, Jiang J, Kwok JB, Martin NG, Martinot JL, Mather KA, McMahon KL, McRae AF, Nees F, Papadopoulos Orfanos D, Paus T, Poustka L, Sämann PG, Schofield PR, Smolka MN, Stein DJ, Strike LT, Teeuw J, Thalamuthu A, Trollor J, Walter H, Wardlaw JM, Wen W, Whelan R, Apostolova LG, Binder EB, Boomsma DI, Calhoun V, Crespo-Facorro B, Deary IJ, Hulshoff Pol H, Ophoff RA, Pausova Z, Sachdev PS, Saykin A, Wright MJ, Thompson PM, Schumann G, Desrivières S. Epigenome-wide meta-analysis of blood DNA methylation and its association with subcortical volumes: findings from the ENIGMA Epigenetics Working Group. Mol Psychiatry 2021; 26:3884-3895. [PMID: 31811260 PMCID: PMC8550939 DOI: 10.1038/s41380-019-0605-z] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2019] [Revised: 11/09/2019] [Accepted: 11/12/2019] [Indexed: 12/22/2022]
Abstract
DNA methylation, which is modulated by both genetic factors and environmental exposures, may offer a unique opportunity to discover novel biomarkers of disease-related brain phenotypes, even when measured in other tissues than brain, such as blood. A few studies of small sample sizes have revealed associations between blood DNA methylation and neuropsychopathology, however, large-scale epigenome-wide association studies (EWAS) are needed to investigate the utility of DNA methylation profiling as a peripheral marker for the brain. Here, in an analysis of eleven international cohorts, totalling 3337 individuals, we report epigenome-wide meta-analyses of blood DNA methylation with volumes of the hippocampus, thalamus and nucleus accumbens (NAcc)-three subcortical regions selected for their associations with disease and heritability and volumetric variability. Analyses of individual CpGs revealed genome-wide significant associations with hippocampal volume at two loci. No significant associations were found for analyses of thalamus and nucleus accumbens volumes. Cluster-based analyses revealed additional differentially methylated regions (DMRs) associated with hippocampal volume. DNA methylation at these loci affected expression of proximal genes involved in learning and memory, stem cell maintenance and differentiation, fatty acid metabolism and type-2 diabetes. These DNA methylation marks, their interaction with genetic variants and their impact on gene expression offer new insights into the relationship between epigenetic variation and brain structure and may provide the basis for biomarker discovery in neurodegeneration and neuropsychiatric conditions.
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Affiliation(s)
- Tianye Jia
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
- MOE Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Congying Chu
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Yun Liu
- MOE Key Laboratory of Metabolism and Molecular Medicine, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jenny van Dongen
- Vrije Universiteit, Amsterdam, Dept Biological Psychology, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Evangelos Papastergios
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | | | - Mark E Bastin
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, and Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh (MEB), Edinburgh, UK
| | - Tania Carrillo-Roa
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Kraepelinstr, 2-10 80804, Munich, Germany
| | - Anouk den Braber
- Vrije Universiteit, Amsterdam, Dept Biological Psychology, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Mathew Harris
- Centre for Clinical Brain Sciences and Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Centre, Amsterdam, The Netherlands
| | - Jingyu Liu
- Department of Electrical Engineering, University of New Mexico, Albuquerque, NM, USA
| | - Michelle Luciano
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Anil P S Ori
- UCLA Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
| | - Roberto Roiz Santiañez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria, Santander, Spain
- Centro Investigación Biomédica en Red de Salud Mental, Santander, Spain
| | - Barbara Ruggeri
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Daniil Sarkisyan
- Box 591, Uppsala biomedicinska centrum BMC, Husarg. 3, 751 24, Uppsala, Sweden
| | - Jean Shin
- Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Kim Sungeun
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Diana Tordesillas Gutiérrez
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria, Santander, Spain
- Neuroimaging Unit, Technological Facilities. Valdecilla Biomedical Research Institute IDIVAL, Santander, Cantabria, Spain
| | - Dennis Van't Ent
- Vrije Universiteit, Amsterdam, Dept Biological Psychology, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - David Ames
- National Ageing Research Institute, Parkville, VIC, Australia
- Academic Unit for Psychiatry of Old Age, University of Melbourne, St George's Hospital, Kew, VIC, Australia
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-Paris Saclay, University Paris Descartes, Orsay, France
- DIGITEO Labs, Gif sur Yvette, France
- GH Nord Essonne Psychiatry Department 91G16, Orsay, France
| | - Georgy Bakalkin
- Box 591, Uppsala biomedicinska centrum BMC, Husarg. 3, 751 24, Uppsala, Sweden
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Dementia Centre for Research Collaboration, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Uli Bromberg
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Rachel Brouwer
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Christian Büchel
- University Medical Centre Hamburg-Eppendorf, House W34, 3.OG, Martinistr. 52, 20246, Hamburg, Germany
| | - Erin Burke Quinlan
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Wiepke Cahn
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Greig I de Zubicaray
- Faculty of Health, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, QLD, Australia
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, TU Dresden, Germany
| | - Tomas J Ekström
- Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Herta Flor
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, 68131, Mannheim, Germany
| | - Juliane H Fröhner
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, F-91191, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, 05405, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, UK
| | - Andreas Heinz
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Jacqueline Hoare
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Bernd Ittermann
- Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Berlin, Germany
| | - Neda Jahanshad
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Jiyang Jiang
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - John B Kwok
- Central Clinical School-Brain and Mind Centre, The University of Sydney, Camperdown, NSW, 2050, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 "Neuroimaging & Psychiatry", University Paris Sud-Paris Saclay, University Paris Descartes, Orsay, France
- DIGITEO Labs, Gif sur Yvette, France
- Maison de Solenn, Cochin Hospital, Paris, France
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Katie L McMahon
- Herston Imaging Research Facility, School of Clinical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, 68159, Mannheim, Germany
- Department of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Square J5, Mannheim, Germany
| | | | - Tomáš Paus
- Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and Departments of Psychology and Psychiatry, University of Toronto, Toronto, ON, M6A 2E1, Canada
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, von-Siebold-Str. 5, 37075, Göttingen, Germany
| | - Philipp G Sämann
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Kraepelinstr, 2-10 80804, Munich, Germany
| | - Peter R Schofield
- Neuroscience Research Australia, Sydney, NSW, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
| | - Dan J Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- SAMRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Lachlan T Strike
- Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia
| | - Jalmar Teeuw
- UCLA Center for Neurobehavioral Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuroscience Research Australia, Sydney, NSW, Australia
| | - Julian Trollor
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Department of Developmental Disability Neuropsychiatry, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Henrik Walter
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany
- Berlin Institute of Health, Department of Psychiatry and Psychotherapy, Campus Charité Mitte, Charitéplatz 1, Berlin, Germany
| | - Joanna M Wardlaw
- Brain Research Imaging Centre, Centre for Clinical Brain Sciences, Edinburgh Dementia Research Centre, and Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute at the University of Edinburgh, Edinburgh, UK
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Liana G Apostolova
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Kraepelinstr, 2-10 80804, Munich, Germany
| | - Dorret I Boomsma
- Vrije Universiteit, Amsterdam, Dept Biological Psychology, Van der Boechorststraat 1, 1081 BT, Amsterdam, The Netherlands
| | - Vince Calhoun
- Department of Electrical Engineering, University of New Mexico, Albuquerque, NM, USA
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Emory University, 30303, Atlanta, GA, USA
| | - Benedicto Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria, Santander, Spain
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Hilleke Hulshoff Pol
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Roel A Ophoff
- Department of Psychiatry and Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
- Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, USA
| | - Zdenka Pausova
- Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
- Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Andrew Saykin
- Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Margaret J Wright
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of the University of Southern California, Marina del Rey, CA, USA
| | - Gunter Schumann
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Sylvane Desrivières
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
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7
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Leissring MA, González-Casimiro CM, Merino B, Suire CN, Perdomo G. Targeting Insulin-Degrading Enzyme in Insulin Clearance. Int J Mol Sci 2021; 22:ijms22052235. [PMID: 33668109 PMCID: PMC7956289 DOI: 10.3390/ijms22052235] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 02/20/2021] [Accepted: 02/21/2021] [Indexed: 02/07/2023] Open
Abstract
Hepatic insulin clearance, a physiological process that in response to nutritional cues clears ~50–80% of circulating insulin, is emerging as an important factor in our understanding of the pathogenesis of type 2 diabetes mellitus (T2DM). Insulin-degrading enzyme (IDE) is a highly conserved Zn2+-metalloprotease that degrades insulin and several other intermediate-size peptides. Both, insulin clearance and IDE activity are reduced in diabetic patients, albeit the cause-effect relationship in humans remains unproven. Because historically IDE has been proposed as the main enzyme involved in insulin degradation, efforts in the development of IDE inhibitors as therapeutics in diabetic patients has attracted attention during the last decades. In this review, we retrace the path from Mirsky’s seminal discovery of IDE to the present, highlighting the pros and cons of the development of IDE inhibitors as a pharmacological approach to treating diabetic patients.
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Affiliation(s)
- Malcolm A. Leissring
- Institute for Memory Impairments and Neurological Disorders, University of California, Irvine (UCI MIND), Irvine, CA 92697-4545, USA
- Correspondence: (M.A.L.); (G.P.); Tel.: +1-904-254-3050 (M.A.L.); +34-983-184-805 (G.P.)
| | - Carlos M. González-Casimiro
- Instituto de Biología y Genética Molecular (University of Valladolid-CSIC), 47003 Valladolid, Spain; (C.M.G.-C.); (B.M.)
| | - Beatriz Merino
- Instituto de Biología y Genética Molecular (University of Valladolid-CSIC), 47003 Valladolid, Spain; (C.M.G.-C.); (B.M.)
| | - Caitlin N. Suire
- Department of Biomedical Sciences, Florida State University, Tallahassee, FL 32306-4300, USA;
| | - Germán Perdomo
- Instituto de Biología y Genética Molecular (University of Valladolid-CSIC), 47003 Valladolid, Spain; (C.M.G.-C.); (B.M.)
- Correspondence: (M.A.L.); (G.P.); Tel.: +1-904-254-3050 (M.A.L.); +34-983-184-805 (G.P.)
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8
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Caputo V, Termine A, Strafella C, Giardina E, Cascella R. Shared (epi)genomic background connecting neurodegenerative diseases and type 2 diabetes. World J Diabetes 2020; 11:155-164. [PMID: 32477452 PMCID: PMC7243483 DOI: 10.4239/wjd.v11.i5.155] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2019] [Revised: 02/10/2020] [Accepted: 03/22/2020] [Indexed: 02/05/2023] Open
Abstract
The progressive aging of populations has resulted in an increased prevalence of chronic pathologies, especially of metabolic, neurodegenerative and movement disorders. In particular, type 2 diabetes (T2D), Alzheimer’s disease (AD) and Parkinson’s disease (PD) are among the most prevalent age-related, multifactorial pathologies that deserve particular attention, given their dramatic impact on patient quality of life, their economic and social burden as well the etiopathogenetic mechanisms, which may overlap in some cases. Indeed, the existence of common triggering factors reflects the contribution of mutual genetic, epigenetic and environmental features in the etiopathogenetic mechanisms underlying T2D and AD/PD. On this subject, this review will summarize the shared (epi)genomic features that characterize these complex pathologies. In particular, genetic variants and gene expression profiles associated with T2D and AD/PD will be discussed as possible contributors to determine the susceptibility and progression to these disorders. Moreover, potential shared epigenetic modifications and factors among T2D, AD and PD will also be illustrated. Overall, this review shows that findings from genomic studies still deserves further research to evaluate and identify genetic factors that directly contribute to the shared etiopathogenesis. Moreover, a common epigenetic background still needs to be investigated and characterized. The evidences discussed in this review underline the importance of integrating large-scale (epi)genomic data with additional molecular information and clinical and social background in order to finely dissect the complex etiopathogenic networks that build up the “disease interactome” characterizing T2D, AD and PD.
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Affiliation(s)
- Valerio Caputo
- Department of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy
| | - Andrea Termine
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy
- Experimental and Behavioral Neurophysiology Laboratory, Santa Lucia Foundation, Rome 00142, Italy
| | - Claudia Strafella
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy
- Department of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy
| | - Emiliano Giardina
- Molecular Genetics Laboratory UILDM, Santa Lucia Foundation, Rome 00142, Italy
- Department of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy
| | - Raffaella Cascella
- Department of Biomedicine and Prevention, Tor Vergata University, Rome 00133, Italy
- Department of Biomedical Sciences, Catholic University Our Lady of Good Counsel, Tirana 1000, Albania
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9
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Shakersain B, Rizzuto D, Larsson SC, Faxén-Irving G, Fratiglioni L, Xu WL. The Nordic Prudent Diet Reduces Risk of Cognitive Decline in the Swedish Older Adults: A Population-Based Cohort Study. Nutrients 2018; 10:nu10020229. [PMID: 29462973 PMCID: PMC5852805 DOI: 10.3390/nu10020229] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2017] [Revised: 01/19/2018] [Accepted: 02/14/2018] [Indexed: 12/25/2022] Open
Abstract
Appropriate dietary pattern for preserving cognitive function in northern Europe remains unknown. We aimed to identify a Nordic dietary pattern index associated with slower cognitive decline compared to the Mediterranean-DASH Intervention for Neurodegenerative Delay, Mediterranean Diet, Dietary Approaches to Stop Hypertension, and Baltic Sea Diet indices. A total of 2223 dementia-free adults aged ≥60 were followed for 6 years. Mini-Mental State Examination was administrated at baseline and follow-ups. Dietary intake was assessed by 98-item food frequency questionnaire, and the Nordic Prudent Dietary Pattern (NPDP) was identified. Data were analysed using mixed-effects and parametric survival models and receiver operating characteristic curves with adjustment for potential confounders. Moderate (β = 0.139, 95% CI 0.077−0.201) and high adherence (β = 0.238, 95% CI 0.175−0.300) to NPDP were associated with less cognitive decline compared to other four indices. High adherence to NPDP was also associated with the lowest risk of MMSE decline to ≤24 (HR = 0.176, 95% CI 0.080−0.386) and had the greatest ability to predict such decline (area under the curve = 0.70). Moderate-to-high adherence to the NPDP may predict a better-preserved cognitive function among older adults in Nordic countries. Regional dietary habits should be considered in developing dietary guidelines for the prevention of cognitive impairment and dementia.
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Affiliation(s)
- Behnaz Shakersain
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 113 30 Stockholm, Sweden.
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 113 30 Stockholm, Sweden.
| | - Susanna C Larsson
- Unit of Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden.
| | - Gerd Faxén-Irving
- Division of Clinical Geriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 57 Huddinge, Sweden.
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 113 30 Stockholm, Sweden.
- Stockholm Gerontology Research Center, 113 30 Stockholm, Sweden.
| | - Wei-Li Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, 113 30 Stockholm, Sweden.
- Department Epidemiology & Biostatistics, School of Public Health, Tianjin Medical University, Qixiangtai Road 22, Heping District, Tianjin 300070, China.
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10
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Marseglia A, Fratiglioni L, Laukka EJ, Santoni G, Pedersen NL, Bäckman L, Xu W. Early Cognitive Deficits in Type 2 Diabetes: A Population-Based Study. J Alzheimers Dis 2018; 53:1069-78. [PMID: 27314527 PMCID: PMC4981902 DOI: 10.3233/jad-160266] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Evidence links type 2 diabetes to dementia risk. However, our knowledge on the initial cognitive deficits in diabetic individuals and the factors that might promote such deficits is still limited. This study aimed to identify the cognitive domains initially impaired by diabetes and the factors that play a role in this first stage. Within the population-based Swedish National Study on Aging and Care–Kungsholmen, 2305 cognitively intact participants aged ≥60 y were identified. Attention/working memory, perceptual speed, category fluency, letter fluency, semantic memory, and episodic memory were assessed. Diabetes (controlled and uncontrolled) and prediabetes were ascertained by clinicians, who also collected information on vascular disorders (hypertension, heart diseases, and stroke) and vascular risk factors (VRFs, including smoking and overweight/obesity). Data were analyzed with linear regression models. Overall, 196 participants (8.5%) had diabetes, of which 144 (73.5%) had elevated glycaemia (uncontrolled diabetes); 571 (24.8%) persons had prediabetes. In addition, diabetes, mainly uncontrolled, was related to lower performance in perceptual speed (β – 1.10 [95% CI – 1.98, – 0.23]), category fluency (β – 1.27 [95% CI – 2.52, – 0.03]), and digit span forward (β – 0.35 [95% CI – 0.54, – 0.17]). Critically, these associations were present only among APOEɛ4 non–carriers. The associations of diabetes with perceptual speed and category fluency were present only among participants with VRFs or vascular disorders. Diabetes, especially uncontrolled diabetes, is associated with poorer performance in perceptual speed, category fluency, and attention/primary memory. VRFs, vascular disorders, and APOE status play a role in these associations.
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Affiliation(s)
- Anna Marseglia
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Stockholm Gerontology Research Center, Stockholm, Sweden
| | - Erika J Laukka
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Giola Santoni
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Lars Bäckman
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Weili Xu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Sweden.,Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, China
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11
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Pan QX, Li XJ, Liu YY, Wang FF, Hou YJ, Bian QL, Qiu WQ, Yan ZY, Jiang YM, Chen JX. Relationship between Insulin Levels and Nonpsychotic Dementia: A Systematic Review and Meta-Analysis. Neural Plast 2017; 2017:1230713. [PMID: 29445549 PMCID: PMC5763205 DOI: 10.1155/2017/1230713] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Accepted: 10/16/2017] [Indexed: 02/07/2023] Open
Abstract
Objectives To explore the relationship between insulin levels and nonpsychotic dementia. Methods Six electronic databases (PubMed, Cochrane, SCI, CNKI, VIP, and Wanfang) were searched from January 1, 2007, to March 1, 2017. Experimental or observational studies that enrolled people with nonpsychotic dementia or abnormal insulin levels in which insulin levels or MMSE scores (events in nonpsychotic dementia) were the outcome measures. Random-effects models were chosen for this meta-analysis. Sample size, mean, s.d., and events were primarily used to generate effect sizes (with the PRIMA registration number CRD42017069860). Results 50 articles met the final inclusion criteria. Insulin levels in cerebrospinal fluid were lower (Hedges' g = 1.196, 95% CI = 0.238 to 2.514, and P = 0.014), while the levels in peripheral blood were higher in nonpsychotic dementia patients (Hedges' g = 0.853 and 95% CI = 0.579 to 1.127), and MMSE scores were significantly lower in the high insulin group than in the healthy control group (Hedges' g = 0.334, 95% CI = 0.249 to 0.419, and P = 0.000). Conclusions Our comprehensive results indicate that blood insulin levels may increase in patients with nonpsychotic dementia.
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Affiliation(s)
- Qiu-xia Pan
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Xiao-juan Li
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Yue-yun Liu
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Fang-fang Wang
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Ya-jing Hou
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Qing-lai Bian
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Wen-qi Qiu
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Zhi-yi Yan
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - You-ming Jiang
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
| | - Jia-xu Chen
- School of Basic Medical Science, Beijing University of Chinese Medicine, No. 11 North Third Ring Road, Chaoyang, Beijing 100029, China
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