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Koblinsky ND, Carmichael PH, Belleville S, Fiocco AJ, Gaudreau P, Greenwood CE, Kergoat MJ, Morais JA, Presse N, Laurin D, Ferland G. Associations between circulating cardiovascular disease risk factors and cognitive performance in cognitively healthy older adults from the NuAge study. Front Aging Neurosci 2023; 15:1274794. [PMID: 38020779 PMCID: PMC10668121 DOI: 10.3389/fnagi.2023.1274794] [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: 08/08/2023] [Accepted: 09/26/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Cardiovascular disease risk factors (CVRFs) contribute to the development of cognitive impairment and dementia. Methods This study examined the associations between circulating CVRF biomarkers and cognition in 386 cognitively healthy older adults (mean age = 78 ± 4 years, 53% females) selected from the Quebec Longitudinal Study on Nutrition and Successful Aging (NuAge). Memory, executive function, and processing speed were assessed at baseline and 2-year follow-up. CVRF biomarkers included total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglycerides, glucose, insulin, high sensitivity C-reactive protein (hs-CRP), homocysteine, protein carbonyls, and cortisol. Linear mixed models were used to determine associations between individual CVRF biomarkers and cognition at both time points. Results HDL-C was most consistently associated with cognition with higher values related to better performance across several domains. Overall, stronger and more consistent relationships between CVRF biomarkers and cognition were observed in females relative to males. Discussion Findings suggest that increases in the majority of circulating CVRFs are not associated with worse cognition in cognitively healthy older adults.
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Affiliation(s)
- Noah D. Koblinsky
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
| | - Pierre-Hugues Carmichael
- Center d’excellence sur le Vieillissement de Québec, Center de Recherche du Center Hospitalier Universitaire (CHU) de Québec-Université Laval and VITAM-Center de Recherche en Santé Durable, Center Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de la Capitale Nationale, Québec, QC, Canada
| | - Sylvie Belleville
- Center de Recherche de l’Institut Universitaire de Gériatrie de Montréal, CIUSSS du Center-Sud-de-l’Île-de-Montréal, Montreal, QC, Canada
| | - Alexandra J. Fiocco
- Department of Psychology, Toronto Metropolitan University, Toronto, ON, Canada
| | - Pierrette Gaudreau
- Center de Recherche du Center Hospitalier de l’Université de Montréal and Faculté de Médecine, Université de Montréal, Montreal, QC, Canada
| | - Carol E. Greenwood
- Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada
- Department of Nutritional Sciences, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | | | - José A. Morais
- Division of Geriatrics, McGill University, Montreal, QC, Canada
| | - Nancy Presse
- Center de Recherche du Center Hospitalier de l’Université de Montréal and Faculté de Médecine, Université de Montréal, Montreal, QC, Canada
- Faculté de Médecine et des Sciences de la Santé de l’Université de Sherbrooke, Sherbrooke, QC, Canada
- Center de Recherche sur le Vieillissement du CIUSSS de l’Estrie-Center Hospitalier Universitaire de Sherbrooke (CHUS), Sherbrooke, QC, Canada
| | - Danielle Laurin
- Center d’excellence sur le Vieillissement de Québec, Center de Recherche du Center Hospitalier Universitaire (CHU) de Québec-Université Laval and VITAM-Center de Recherche en Santé Durable, Center Intégré Universitaire de Santé et de Services Sociaux (CIUSSS) de la Capitale Nationale, Québec, QC, Canada
- Faculté de Pharmacie, Institut sur le Vieillissement et la Participation Sociale des Aînés and Institut sur la Nutrition et les Aliments Fonctionnels (INAF), Université Laval, Montreal, ON, Canada
| | - Guylaine Ferland
- Montreal Heart Institute Research Center, and Département de Nutrition, Université de Montréal, Montreal, QC, Canada
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Quan W, Xu Y, Luo J, Zeng M, He Z, Shen Q, Chen J. Association of dietary meat consumption habits with neurodegenerative cognitive impairment: an updated systematic review and dose-response meta-analysis of 24 prospective cohort studies. Food Funct 2022; 13:12590-12601. [PMID: 36385382 DOI: 10.1039/d2fo03168j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The association between dietary meat consumption habits and neurodegenerative cognitive impairment (NCI) has been made but recent studies have reported controversial results. Herein, we have systematically explored associations between meat consumption and NCI risk. PubMed, Embase, and MEDLINE databases were explored for data sources of primary studies. Twenty-four prospective cohort studies that met the selection criteria, involving over 500 000 participants from 11 countries, were included. Relative risks (RRs) were pooled using random-effects model meta-analysis, and a dose-response analysis was conducted using a 2-stage generalized least-squares trend program. The results showed that total meat (RRs 1.14; 95% CI: 1.04-1.24), fish (RRs 0.87; 95% CI: 0.78-0.98), and poultry (RRs 0.88; 95% CI: 0.80-0.98) intake was significantly associated with NCI risk but red meat (RRs 1.03; 95% CI: 0.92-1.16) showed a non-significant association. Subgroup analysis further demonstrated a significant association between total meat consumption and the risk of NCI, especially for total processed meat (RRs 1.67; 95% CI, 1.46-1.92) and processed red meat (RRs 1.22; 95% CI, 1.11-1.34). Each additional 50 g day-1 intake of total meat (RRs 1.03; 95% CI: 1.00-1.05) and processed meat (RRs 1.12; 95% CI: 1.08-1.17) increased the risk of NCI. In contrast, a 50 g day-1 increment of fish (RRs 0.97; 95% CI: 0.94-0.99) and poultry (RRs 0.948; 95% CI: 0.90-0.99) intake was associated with lower NCI risk. This study provided evidence for further understanding the relationship between the type and amount of meat intake and the occurrence of NCI.
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Affiliation(s)
- Wei Quan
- College of Food Science and Technology, Hunan Agricultural University, Changsha, Hunan 410128, China.
| | - Yang Xu
- College of Food Science and Technology, Hunan Agricultural University, Changsha, Hunan 410128, China.
| | - Jie Luo
- College of Food Science and Technology, Hunan Agricultural University, Changsha, Hunan 410128, China.
| | - Maomao Zeng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Zhiyong He
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Qingwu Shen
- College of Food Science and Technology, Hunan Agricultural University, Changsha, Hunan 410128, China.
| | - Jie Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China. .,International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, Jiangsu 214122, China
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Progress and Challenges in Quantifying Carbonyl-Metabolomic Phenomes with LC-MS/MS. Molecules 2021; 26:molecules26206147. [PMID: 34684729 PMCID: PMC8541004 DOI: 10.3390/molecules26206147] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 12/17/2022] Open
Abstract
Carbonyl-containing metabolites widely exist in biological samples and have important physiological functions. Thus, accurate and sensitive quantitative analysis of carbonyl-containing metabolites is crucial to provide insight into metabolic pathways as well as disease mechanisms. Although reversed phase liquid chromatography electrospray ionization mass spectrometry (RPLC-ESI-MS) is widely used due to the powerful separation capability of RPLC and high specificity and sensitivity of MS, but it is often challenging to directly analyze carbonyl-containing metabolites using RPLC-ESI-MS due to the poor ionization efficiency of neutral carbonyl groups in ESI. Modification of carbonyl-containing metabolites by a chemical derivatization strategy can overcome the obstacle of sensitivity; however, it is insufficient to achieve accurate quantification due to instrument drift and matrix effects. The emergence of stable isotope-coded derivatization (ICD) provides a good solution to the problems encountered above. Thus, LC-MS methods that utilize ICD have been applied in metabolomics including quantitative targeted analysis and untargeted profiling analysis. In addition, ICD makes multiplex or multichannel submetabolome analysis possible, which not only reduces instrument running time but also avoids the variation of MS response. In this review, representative derivatization reagents and typical applications in absolute quantification and submetabolome profiling are discussed to highlight the superiority of the ICD strategy for detection of carbonyl-containing metabolites.
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Arnoriaga-Rodríguez M, Mayneris-Perxachs J, Coll C, Pérez-Brocal V, Ricart W, Moya A, Ramió-Torrentà L, Pamplona R, Jové M, Portero-Otin M, Fernández-Real JM. Subjects with detectable Saccharomyces cerevisiae in the gut microbiota show deficits in attention and executive function. J Intern Med 2021; 290:740-743. [PMID: 34051000 DOI: 10.1111/joim.13307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/16/2021] [Accepted: 04/22/2021] [Indexed: 11/29/2022]
Affiliation(s)
- M Arnoriaga-Rodríguez
- From the, Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain.,Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain.,Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
| | - J Mayneris-Perxachs
- From the, Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain.,Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain.,Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain
| | - C Coll
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain
| | - V Pérez-Brocal
- Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of València Region (FISABIO-Public Health), València, Spain.,Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - W Ricart
- From the, Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain.,Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain.,Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
| | - A Moya
- Department of Genomics and Health, Foundation for the Promotion of Health and Biomedical Research of València Region (FISABIO-Public Health), València, Spain.,Biomedical Research Networking Center for Epidemiology and Public Health (CIBERESP), Madrid, Spain.,Institute for Integrative Systems Biology (I2SysBio), University of Valencia and Spanish National Research Council (CSIC), València, Spain
| | - L Ramió-Torrentà
- Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain.,Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Dr. Josep Trueta University Hospital, Girona, Spain.,Girona Neurodegeneration and Neuroinflammation Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain
| | - R Pamplona
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-University of Lleida, Lleida, Spain
| | - M Jové
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-University of Lleida, Lleida, Spain
| | - M Portero-Otin
- Metabolic Pathophysiology Research Group, Lleida Biomedical Research Institute (IRBLleida)-University of Lleida, Lleida, Spain
| | - J M Fernández-Real
- From the, Department of Diabetes, Endocrinology and Nutrition, Dr. Josep Trueta University Hospital, Girona, Spain.,Eumetabolism and Health Group, Girona Biomedical Research Institute (IdibGi), Girona, Spain.,Biomedical Research Networking Center for Physiopathology of Obesity and Nutrition (CIBEROBN), Madrid, Spain.,Department of Medical Sciences, Faculty of Medicine, Girona University, Girona, Spain
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Wei W, Yi X, Ruan J, Duan X, Luo H, Lv Z. Influence of collateral circulation on cerebral blood flow and frontal lobe cognitive function in patients with severe internal carotid artery stenosis. BMC Neurol 2019; 19:151. [PMID: 31277587 PMCID: PMC6612158 DOI: 10.1186/s12883-019-1380-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Accepted: 06/26/2019] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND This study aimed to investigate the cerebral blood flow (CBF) and frontal lobe cognitive function in severe internal carotid artery (ICA) stenosis patients with different types of collateral circulation. METHODS One hundred twenty-six patients with severe unilateral ICA stenosis were enrolled. Digital subtraction angiography (DSA) was performed to recruit patients with one of three common types of collateral circulation: anterior communicating artery (AcoA), posterior communicating artery (PcoA) and ophthalmic artery (OA). The hemodynamic parameters of the middle cerebral artery (MCA) were measured using transcranial Doppler (TCD), and the individual frontal lobe cognitive attention functions were evaluated using Word Fluency Test, Trail-Making Test (TMT), Digit Span, and Stroop Color Word Test (SCWT). The correlation between hemodynamic changes and the scores of all tasks was analyzed. RESULTS On the side of arterial stenosis, the CBF velocities were highest in AcoA group and lowest in the OA group. All patients performed worse in TMT and Digit Span than the matched normal controls. The AcoA group exhibited a lower pulsatility index (PI) and a longer response time in the Stroop task, but had a higher accuracy rate in the Stroop task and higher scores in Word Fluency Test than the PcoA and OA groups. In all the three groups, PI was positively correlated with the accuracy rate for Stroop interference effects. CONCLUSIONS Our findings suggested that the frontal lobe cognitive function of patients with ICA was impaired, and AcoA collaterals may be beneficial for selective attention functions, whereas OA collaterals may be associated with impairment of selective attention functions. Additionally, a high PI may be an indicator for identifying impaired selective attention in patients with severe ICA stenosis.
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Affiliation(s)
- Wei Wei
- Department of Neurology, the Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Luzhou, 646000 Sichuan China
| | - Xingyang Yi
- Department of Neurology, People’s Hospital of Deyang City, Deyang, 618000 Sichuan China
| | - Jianghai Ruan
- Department of Neurology, the Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Luzhou, 646000 Sichuan China
| | - Xiaodong Duan
- Department of Rehabilitation medicine, the Affiliated Hospital of Southwest Medical University, Luzhou, 646000 Sichuan China
| | - Hua Luo
- Department of Neurology, the Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Luzhou, 646000 Sichuan China
| | - Zhiyu Lv
- Department of Neurology, the Affiliated Hospital of Southwest Medical University, No. 25 Taiping Road, Luzhou, 646000 Sichuan China
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