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Tian Q, Yao S, Marron MM, Greig EE, Shore S, Ferrucci L, Shah R, Murthy VL, Newman AB. Shared plasma metabolomic profiles of cognitive and mobility decline predict future dementia. GeroScience 2024:10.1007/s11357-024-01228-7. [PMID: 38829458 DOI: 10.1007/s11357-024-01228-7] [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: 04/22/2024] [Accepted: 05/27/2024] [Indexed: 06/05/2024] Open
Abstract
Experiencing decline in both cognition and mobility is associated with a substantially higher dementia risk than cognitive decline only. Metabolites associated with both cognitive and mobility declines may be early predictors of dementia and reveal specific pathways to dementia. We analyzed data from 2450 participants initially free of dementia who had 613 metabolites measured in plasma in 1998-1999 (mean age = 75.2 ± 2.9 years old, 37.8% Black, 50% women) from the Health, Aging and Body Composition study. Dementia diagnosis was determined by race-specific decline in 3MS scores, medication use, and hospital records through 2014. Cognition and mobility were repeatedly measured using 3MS and a 20-m walking test up to 10 years, respectively. We examined metabolite associations with changes in 3MS (n = 2046) and gait speed (n = 2019) using multivariable linear regression adjusted for age, sex, race, and baseline performance and examined metabolite associations with dementia risk using Cox regression. During a mean follow-up of 9.3 years, 534 (21.8%) participants developed dementia. On average, 3MS declined 0.47/year and gait declined 0.04 m/sec/year. After covariate adjustment, 75 metabolites were associated with cognitive decline, and 111 metabolites were associated with gait decline (FDR-adjusted p < 0.05). Twenty-six metabolites were associated with both cognitive and gait declines. Eighteen of 26 metabolites were associated with dementia risk (p < 0.05), notably amino acids, glycerophospholipids (lysoPCs, PCs, PEs), and sphingolipids. Results remained similar after adjusting for cardiovascular disease or apolipoprotein E ɛ4 carrier status. During aging, metabolomic profiles of cognitive decline and mobility decline show distinct and shared signatures. Shared metabolomic profiles suggest that inflammation and deficits in mitochondria and the urea cycle in addition to the central nervous system may play key roles in both cognitive and mobility declines and predict dementia. Future studies are warranted to investigate longitudinal metabolite changes and metabolomic markers with dementia pathologies.
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Affiliation(s)
- Qu Tian
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA.
| | - Shanshan Yao
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Megan M Marron
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Erin E Greig
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA
| | | | - Luigi Ferrucci
- Longitudinal Studies Section, National Institute on Aging, 251 Bayview Blvd M04B332, Baltimore, MD, 21224, USA
| | - Ravi Shah
- University of Michigan, Ann Arbor, MI, USA
| | | | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
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Flores AC, Zhang X, Kris-Etherton PM, Sliwinski MJ, Shearer GC, Gao X, Na M. Metabolomics and Risk of Dementia: A Systematic Review of Prospective Studies. J Nutr 2024; 154:826-845. [PMID: 38219861 DOI: 10.1016/j.tjnut.2024.01.012] [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: 10/31/2023] [Revised: 01/05/2024] [Accepted: 01/10/2024] [Indexed: 01/16/2024] Open
Abstract
BACKGROUND The projected increase in the prevalence of dementia has sparked interest in understanding the pathophysiology and underlying causal factors in its development and progression. Identifying novel biomarkers in the preclinical or prodromal phase of dementia may be important for predicting early disease risk. Applying metabolomic techniques to prediagnostic samples in prospective studies provides the opportunity to identify potential disease biomarkers. OBJECTIVE The objective of this systematic review was to summarize the evidence on the associations between metabolite markers and risk of dementia and related dementia subtypes in human studies with a prospective design. DESIGN We searched PubMed, PsycINFO, and Web of Science databases from inception through December 8, 2023. Thirteen studies (mean/median follow-up years: 2.1-21.0 y) were included in the review. RESULTS Several metabolites detected in biological samples, including amino acids, fatty acids, acylcarnitines, lipid and lipoprotein variations, hormones, and other related metabolites, were associated with risk of developing dementia. Our systematic review summarized the adjusted associations between metabolites and dementia risk; however, our findings should be interpreted with caution because of the heterogeneity across the included studies and potential sources of bias. Further studies are warranted with well-designed prospective cohort studies that have defined study populations, longer follow-up durations, the inclusion of additional diverse biological samples, standardization of techniques in metabolomics and ascertainment methods for diagnosing dementia, and inclusion of other related dementia subtypes. CONCLUSIONS This study contributes to the limited systematic reviews on metabolomics and dementia by summarizing the prospective associations between metabolites in prediagnostic biological samples with dementia risk. Our review discovered additional metabolite markers associated with the onset of developing dementia and may help aid in the understanding of dementia etiology. The protocol is registered in the International Prospective Register of Systematic Reviews (PROSPERO) database (https://www.crd.york.ac.uk/prospero/; registration ID: CRD42022357521).
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Affiliation(s)
- Ashley C Flores
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Xinyuan Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States
| | - Penny M Kris-Etherton
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Martin J Sliwinski
- Center for Healthy Aging, The Pennsylvania State University, University Park, PA, United States; Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States
| | - Greg C Shearer
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Xiang Gao
- School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
| | - Muzi Na
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States.
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Conde R, Oliveira N, Morais E, Amaral AP, Sousa A, Graça G, Verde I. NMR analysis seeking for cognitive decline and dementia metabolic markers in plasma from aged individuals. J Pharm Biomed Anal 2024; 238:115815. [PMID: 37952448 DOI: 10.1016/j.jpba.2023.115815] [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: 08/20/2023] [Revised: 10/17/2023] [Accepted: 10/24/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Blood biomarkers can improve the ability to diagnose dementia, providing new information to better understand the pathophysiology and causes of the disease. Some studies with patients have already shown changes in metabolic profiles among patients with pathological cognitive decline or Alzheimer's disease, when compared to individuals with normal cognition. METHODS To search for new metabolic biomarkers of dementia, we analyzed serum levels of several metabolites, measured by nuclear magnetic resonance spectroscopy, in elderly individuals, a group with normal cognitive decline (control), and three other groups with cognitive decline. pathological (low, moderate, and severe). RESULTS Decreased plasma levels of tyrosine, glutamate, valine, leucine, and isoleucine are associated with worsening of pathological cognitive decline. However, the area under analysis of receptor operating characteristics suggests that tyrosine and glutamate have low specificity and sensitivity. Valine, leucine, and isoleucine are influenced by blood glucose or diabetes, but these conditions do not seem to be of great influence in the differences observed. Isobutyrate, histidine, acetone and unknown-1 metabolite also decrease their plasma levels with increasing CD. Isobutyrate ad histidine could have neuroprotective and antioxidant actions, respectively. To elucidate the role of decreased unknown metabolite-1 as a CD biomarker, it will be necessary to previously investigate its identity. To define and elucidate the role of acetone in pathological CD, additional laboratory and clinical studies must be performed. All these metabolites together may constitute a set of biomarkers with capability to identify pathological CD or dementia. SIGNIFICANCE AND NOVELTY Decrease of glutamate, tyrosine, valine, leucine, isoleucine, histidine, isobutyrate, acetone and unknown-1 metabolite together are a set of biomarkers able to identify pathological CD or dementia. Histidine, isobutyrate, acetone and unknown-1 metabolite are more specific biomarkers of CD.
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Affiliation(s)
- Ricardo Conde
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal
| | - Nádia Oliveira
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal
| | - Elisabete Morais
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal
| | - Ana Paula Amaral
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal
| | - Adriana Sousa
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal
| | - Gonçalo Graça
- Section of Bioinformatics, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, Sir Alexander Fleming Building, London SW7 2AZ, UK
| | - Ignacio Verde
- Health Sciences Research Centre (CICS-UBI), University of Beira Interior (UBI), Av. Infante D. Henrique, 6200-506 Covilhã, Portugal.
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Lee AM, Xu Y, Hooper SR, Abraham AG, Hu J, Xiao R, Matheson MB, Brunson C, Rhee EP, Coresh J, Vasan RS, Schrauben S, Kimmel PL, Warady BA, Furth SL, Hartung EA, Denburg MR. Circulating Metabolomic Associations with Neurocognitive Outcomes in Pediatric CKD. Clin J Am Soc Nephrol 2024; 19:13-25. [PMID: 37871960 PMCID: PMC10843217 DOI: 10.2215/cjn.0000000000000318] [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: 06/06/2023] [Accepted: 10/16/2023] [Indexed: 10/25/2023]
Abstract
BACKGROUND Children with CKD are at risk for impaired neurocognitive functioning. We investigated metabolomic associations with neurocognition in children with CKD. METHODS We leveraged data from the Chronic Kidney Disease in Children (CKiD) study and the Neurocognitive Assessment and Magnetic Resonance Imaging Analysis of Children and Young Adults with Chronic Kidney Disease (NiCK) study. CKiD is a multi-institutional cohort that enrolled children aged 6 months to 16 years with eGFR 30-90 ml/min per 1.73 m 2 ( n =569). NiCK is a single-center cross-sectional study of participants aged 8-25 years with eGFR<90 ml/min per 1.73 m 2 ( n =60) and matched healthy controls ( n =67). Untargeted metabolomic quantification was performed on plasma (CKiD, 622 metabolites) and serum (NiCK, 825 metabolites) samples. Four neurocognitive domains were assessed: intelligence, attention regulation, working memory, and parent ratings of executive function. Repeat assessments were performed in CKiD at 2-year intervals. Linear regression and linear mixed-effects regression analyses adjusting for age, sex, delivery history, hypertension, proteinuria, CKD duration, and glomerular versus nonglomerular diagnosis were used to identify metabolites associated with neurocognitive z-scores. Analyses were performed with and without adjustment for eGFR. RESULTS There were multiple metabolite associations with neurocognition observed in at least two of the analytic samples (CKiD baseline, CKiD follow-up, and NiCK CKD). Most of these metabolites were significantly elevated in children with CKD compared with healthy controls in NiCK. Notable signals included associations with parental ratings of executive function: phenylacetylglutamine, indoleacetylglutamine, and trimethylamine N-oxide-and with intelligence: γ -glutamyl amino acids and aconitate. CONCLUSIONS Several metabolites were associated with neurocognitive dysfunction in pediatric CKD, implicating gut microbiome-derived substances, mitochondrial dysfunction, and altered energy metabolism, circulating toxins, and redox homeostasis. PODCAST This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_11_17_CJN0000000000000318.mp3.
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Affiliation(s)
- Arthur M. Lee
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Yunwen Xu
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Stephen R. Hooper
- Department of Health Sciences, School of Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina
| | - Alison G. Abraham
- Department of Epidemiology, Colorado University School of Public Health, Aurora, Colorado
| | - Jian Hu
- Department of Human Genetics, Emory University School of Medicine, Atlanta, Georgia
| | - Rui Xiao
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Matthew B. Matheson
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Celina Brunson
- Division of Nephrology, Children's National Hospital, Washington, DC
| | - Eugene P. Rhee
- Division of Nephrology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard School of Medicine, Boston, Massachusetts
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
- Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Ramachandran S. Vasan
- Boston University School of Medicine, Boston, Massachusetts
- Boston University School of Public Health, Boston, Massachusetts
| | - Sarah Schrauben
- Perelman School of Medicine at the University of Pennsylvania, Department of Medicine and Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Paul L. Kimmel
- Division of Kidney, Urologic, and Hematologic Diseases, National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland
| | - Bradley A. Warady
- Division of Nephrology, Children's Mercy Kansas City, Kansas City, Missouri
- University of Missouri-Kansas City School of Medicine, Kansas City, Missouri
| | - Susan L. Furth
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
- Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Department of Pediatrics and Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, Pennsylvania
| | - Erum A. Hartung
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Michelle R. Denburg
- Division of Nephrology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
- Perelman School of Medicine at the University of Pennsylvania, Department of Pediatrics and Department of Biostatistics, Epidemiology, and Informatics, Philadelphia, Pennsylvania
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Gordon S, Lee JS, Scott TM, Bhupathiraju S, Ordovas J, Kelly RS, Tucker KL, Palacios N. Metabolites and Cognitive Decline in a Puerto Rican Cohort. J Alzheimers Dis 2024; 99:S345-S353. [PMID: 38578885 DOI: 10.3233/jad-230053] [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] [Indexed: 04/07/2024]
Abstract
Background Recent studies have identified plasma metabolites associated with cognitive decline and Alzheimer's disease; however, little research on this topic has been conducted in Latinos, especially Puerto Ricans. Objective This study aims to add to the growing body of metabolomics research in Latinos to better understand and improve the health of this population. Methods We assessed the association between plasma metabolites and global cognition over 12 years of follow-up in 736 participants of the Boston Puerto Rican Health Study (BPRHS). Metabolites were measured with untargeted metabolomic profiling (Metabolon, Inc) at baseline. We used covariable adjusted linear mixed models (LMM) with a metabolite * time interaction term to identify metabolites (of 621 measured) associated with ∼12 years cognitive trajectory. Results We observed strong inverse associations between medium-chain fatty acids, caproic acid, and the dicarboxylic acids, azelaic and sebacic acid, and global cognition. N-formylphenylalanine, a tyrosine pathway metabolite, was associated with improvement in cognitive trajectory. Conclusions The metabolites identified in this study are generally consistent with prior literature and highlight a role medium chain fatty acid and tyrosine metabolism in cognitive decline.
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Affiliation(s)
- Scott Gordon
- Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, USA
| | - Jong Soo Lee
- Department of Mathematical Sciences, University of Massachusetts Lowell, Lowell, MA, USA
- Center for Population Health, University of Massachusetts Lowell, Lowell, MA, USA
| | - Tammy M Scott
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Shilpa Bhupathiraju
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Jose Ordovas
- Jean Mayer USDA Human Research Center on Aging, Tufts University, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Katherine L Tucker
- Center for Population Health, University of Massachusetts Lowell, Lowell, MA, USA
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Natalia Palacios
- Center for Population Health, University of Massachusetts Lowell, Lowell, MA, USA
- Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
- Department of Public Health, University of Massachusetts Lowell, Lowell, MA, USA
- Geriatric Research Education Clinical Center, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, MA, USA
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Lista S, González-Domínguez R, López-Ortiz S, González-Domínguez Á, Menéndez H, Martín-Hernández J, Lucia A, Emanuele E, Centonze D, Imbimbo BP, Triaca V, Lionetto L, Simmaco M, Cuperlovic-Culf M, Mill J, Li L, Mapstone M, Santos-Lozano A, Nisticò R. Integrative metabolomics science in Alzheimer's disease: Relevance and future perspectives. Ageing Res Rev 2023; 89:101987. [PMID: 37343679 DOI: 10.1016/j.arr.2023.101987] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/12/2023] [Accepted: 06/15/2023] [Indexed: 06/23/2023]
Abstract
Alzheimer's disease (AD) is determined by various pathophysiological mechanisms starting 10-25 years before the onset of clinical symptoms. As multiple functionally interconnected molecular/cellular pathways appear disrupted in AD, the exploitation of high-throughput unbiased omics sciences is critical to elucidating the precise pathogenesis of AD. Among different omics, metabolomics is a fast-growing discipline allowing for the simultaneous detection and quantification of hundreds/thousands of perturbed metabolites in tissues or biofluids, reproducing the fluctuations of multiple networks affected by a disease. Here, we seek to critically depict the main metabolomics methodologies with the aim of identifying new potential AD biomarkers and further elucidating AD pathophysiological mechanisms. From a systems biology perspective, as metabolic alterations can occur before the development of clinical signs, metabolomics - coupled with existing accessible biomarkers used for AD screening and diagnosis - can support early disease diagnosis and help develop individualized treatment plans. Presently, the majority of metabolomic analyses emphasized that lipid metabolism is the most consistently altered pathway in AD pathogenesis. The possibility that metabolomics may reveal crucial steps in AD pathogenesis is undermined by the difficulty in discriminating between the causal or epiphenomenal or compensatory nature of metabolic findings.
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Affiliation(s)
- Simone Lista
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain.
| | - Raúl González-Domínguez
- Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain
| | - Susana López-Ortiz
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain
| | - Álvaro González-Domínguez
- Instituto de Investigación e Innovación Biomédica de Cádiz (INiBICA), Hospital Universitario Puerta del Mar, Universidad de Cádiz, Cádiz, Spain
| | - Héctor Menéndez
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain
| | - Juan Martín-Hernández
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain
| | - Alejandro Lucia
- Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid, Spain; Faculty of Sport Sciences, European University of Madrid, Villaviciosa de Odón, Madrid, Spain; CIBER of Frailty and Healthy Ageing (CIBERFES), Madrid, Spain
| | | | - Diego Centonze
- Department of Systems Medicine, Tor Vergata University, Rome, Italy; Unit of Neurology, IRCCS Neuromed, Pozzilli, IS, Italy
| | - Bruno P Imbimbo
- Department of Research and Development, Chiesi Farmaceutici, Parma, Italy
| | - Viviana Triaca
- Institute of Biochemistry and Cell Biology (IBBC), National Research Council (CNR), Rome, Italy
| | - Luana Lionetto
- Clinical Biochemistry, Mass Spectrometry Section, Sant'Andrea University Hospital, Rome, Italy; Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Maurizio Simmaco
- Clinical Biochemistry, Mass Spectrometry Section, Sant'Andrea University Hospital, Rome, Italy; Department of Neuroscience, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy
| | - Miroslava Cuperlovic-Culf
- Digital Technologies Research Center, National Research Council, Ottawa, Canada; Department of Biochemistry, Microbiology, and Immunology, University of Ottawa, Ottawa, ON, Canada
| | - Jericha Mill
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA; School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
| | - Mark Mapstone
- Department of Neurology, Institute for Memory Impairments and Neurological Disorders, University of California, Irvine, Irvine, CA, USA
| | - Alejandro Santos-Lozano
- i+HeALTH Strategic Research Group, Department of Health Sciences, Miguel de Cervantes European University (UEMC), Valladolid, Spain; Research Institute of the Hospital 12 de Octubre ('imas12'), Madrid, Spain
| | - Robert Nisticò
- School of Pharmacy, University of Rome "Tor Vergata", Rome, Italy; Laboratory of Pharmacology of Synaptic Plasticity, EBRI Rita Levi-Montalcini Foundation, Rome, Italy
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Zhou Y, Zhou K, Lin X, Wei Y, Ma B, Lu S, Xie G, Zhang Z, Liang J. Association of gut microbiota, plasma and fecal metabolite profiles with intellectual development in school-age children. Transl Pediatr 2023; 12:1292-1304. [PMID: 37575906 PMCID: PMC10416130 DOI: 10.21037/tp-22-610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 04/18/2023] [Indexed: 08/15/2023] Open
Abstract
Background Little is known about how the gut microbiota and metabolic profiles are related to cognitive outcomes in young children until now. It was hypothesized that the gut microbiota, the plasma and fecal metabolites significantly correlated with intelligence quotient (IQ) in school-age children in current study. Methods This cross-sectional study enrolled 452 children aged 6-9 years old. IQ was measured using the Wechsler Intelligence Scale for Children-Fourth Edition. Fecal microbiota, plasma and fecal metabolites were analyzed using 16S rRNA amplicon sequencing and targeted metabolomic technologies, respectively. Results Restricted maximum likelihood (REML) analyses showed that microbiota composition and fecal metabolites were associated with neither subscale nor full-scale IQ (P: 0.059-0.500). However, plasma metabolites were significantly correlated with the processing speed (P=0.008). In multiple regression analysis after adjusting for confounders and multiple test correction, benzoic acid, azelaic acid, adipic acid, suberic acid and malonic acid selected by the multivariate methods with unbiased variable selection were positively associated with processing speed index (PSI) [Pfalse discovery rate (FDR): 0.006-0.024], whereas pyruvic acid was negatively associated with the PSI and full-scale IQ (PFDR: 0.014-0.030). Conclusions In normal school-age children, certain plasma metabolites concentrations but not the gut microbiota composition nor fecal metabolites are correlated with intelligence.
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Affiliation(s)
- Yingyu Zhou
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Kejun Zhou
- Human Metabolomics Institute, Inc., Shenzhen, China
| | - Xiaoping Lin
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yuanhuan Wei
- Department of Clinical Nutrition, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China
| | - Bingjie Ma
- Department of Child Health Care, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China
| | - Shaomin Lu
- Department of Child Health Care, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China
| | - Guoxiang Xie
- Human Metabolomics Institute, Inc., Shenzhen, China
| | - Zheqing Zhang
- Department of Nutrition and Food Hygiene, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, China
| | - Jingjing Liang
- Department of Child Health Care, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou, China
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8
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Granot-Hershkovitz E, Spitzer B, Yang Y, Tarraf W, Yu B, Boerwinkle E, Fornage M, Mosley TH, DeCarli C, Kristal BS, González HM, Sofer T. Genetic loci of beta-aminoisobutyric acid are associated with aging-related mild cognitive impairment. Transl Psychiatry 2023; 13:140. [PMID: 37120436 PMCID: PMC10148805 DOI: 10.1038/s41398-023-02437-y] [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: 09/09/2022] [Revised: 04/14/2023] [Accepted: 04/19/2023] [Indexed: 05/01/2023] Open
Abstract
We studied the genetic associations of a previously developed Metabolomic Risk Score (MRS) for Mild Cognitive Impairment (MCI) and beta-aminoisobutyric acid metabolite (BAIBA)-the metabolite highlighted by results from a genome-wide association study (GWAS) of the MCI-MRS, and assessed their association with MCI in datasets of diverse race/ethnicities. We first performed a GWAS for the MCI-MRS and BAIBA, in Hispanic/Latino adults (n = 3890) from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). We identified ten independent genome-wide significant (p value <5 × 10-8) variants associated with MCI-MRS or BAIBA. Variants associated with the MCI-MRS are located in the Alanine-Glyoxylate Aminotransferase 2 (AGXT2 gene), which is known to be associated with BAIBA metabolism. Variants associated with BAIBA are located in the AGXT2 gene and in the SLC6A13 gene. Next, we tested the variants' association with MCI in independent datasets of n = 3178 HCHS/SOL older individuals, n = 3775 European Americans, and n = 1032 African Americans from the Atherosclerosis Risk In Communities (ARIC) study. Variants were considered associated with MCI if their p value <0.05 in the meta-analysis of the three datasets and their direction of association was consistent with expectation. Rs16899972 and rs37369 from the AGXT2 region were associated with MCI. Mediation analysis supported the mediation effect of BAIBA between the two genetic variants and MCI (p value = 0.004 for causal mediated effect). In summary, genetic variants in the AGXT2 region are associated with MCI in Hispanic/Latino, African, and European American populations in the USA, and their effect is likely mediated by changes in BAIBA levels.
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Affiliation(s)
- Einat Granot-Hershkovitz
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Brian Spitzer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Yunju Yang
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Bing Yu
- Human Genetics Center, School of Public Health University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Thomas H Mosley
- Department of Neurology, School of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Charles DeCarli
- Alzheimer's Disease Center, Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Hector M González
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Department of Biostatistics, Harvard T.H Chan School of Public Health, Boston, MA, USA.
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
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9
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Granot-Hershkovitz E, He S, Bressler J, Yu B, Tarraf W, Rebholz CM, Cai J, Chan Q, Garcia TP, Mosley T, Kristal BS, DeCarli C, Fornage M, Chen GC, Qi Q, Kaplan R, Gonzalez HM, Sofer T. Plasma metabolites associated with cognitive function across race/ethnicities affirming the importance of healthy nutrition. Alzheimers Dement 2023; 19:1331-1342. [PMID: 36111689 PMCID: PMC10017373 DOI: 10.1002/alz.12786] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Revised: 06/08/2022] [Accepted: 07/22/2022] [Indexed: 11/05/2022]
Abstract
INTRODUCTION We studied the replication and generalization of previously identified metabolites potentially associated with global cognitive function in multiple race/ethnicities and assessed the contribution of diet to these associations. METHODS We tested metabolite-cognitive function associations in U.S.A. Hispanic/Latino adults (n = 2222) from the Community Health Study/ Study of Latinos (HCHS/SOL) and in European (n = 1365) and African (n = 478) Americans from the Atherosclerosis Risk In Communities (ARIC) Study. We applied Mendelian Randomization (MR) analyses to assess causal associations between the metabolites and cognitive function and between Mediterranean diet and cognitive function. RESULTS Six metabolites were consistently associated with lower global cognitive function across all studies. Of these, four were sugar-related (e.g., ribitol). MR analyses provided weak evidence for a potential causal effect of ribitol on cognitive function and bi-directional effects of cognitive performance on diet. DISCUSSION Several diet-related metabolites were associated with global cognitive function across studies with different race/ethnicities. HIGHLIGHTS Metabolites associated with cognitive function in Puerto Rican adults were recently identified. We demonstrate the generalizability of these associations across diverse race/ethnicities. Most identified metabolites are related to sugars. Mendelian Randomization (MR) provides weak evidence for a causal effect of ribitol on cognitive function. Beta-cryptoxanthin and other metabolites highlight the importance of a healthy diet.
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Affiliation(s)
- Einat Granot-Hershkovitz
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Shan He
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Bing Yu
- Human Genetics Center, School of Public Health University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wassim Tarraf
- Institute of Gerontology, Wayne State University, Detroit, MI, USA
| | - Casey M. Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, CA, USA
| | - Queenie Chan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Tanya P. Garcia
- Department of Neurology, School of medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Thomas Mosley
- Department of Neurology, School of medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Bruce S. Kristal
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Charles DeCarli
- Alzheimer’s Disease Center, Department of Neurology, University of California, Davis, Sacramento, CA, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Guo-Chong Chen
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, China
| | - Qibin Qi
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USA
| | - Robert Kaplan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle WA, USA
| | - Hector M. Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer’s Disease Center, University of California, San Diego, La Jolla, CA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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10
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Ezkurdia A, Ramírez MJ, Solas M. Metabolic Syndrome as a Risk Factor for Alzheimer's Disease: A Focus on Insulin Resistance. Int J Mol Sci 2023; 24:ijms24054354. [PMID: 36901787 PMCID: PMC10001958 DOI: 10.3390/ijms24054354] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 02/25/2023] Open
Abstract
Alzheimer's disease (AD) is the main type of dementia and is a disease with a profound socioeconomic burden due to the lack of effective treatment. In addition to genetics and environmental factors, AD is highly associated with metabolic syndrome, defined as the combination of hypertension, hyperlipidemia, obesity and type 2 diabetes mellitus (T2DM). Among these risk factors, the connection between AD and T2DM has been deeply studied. It has been suggested that the mechanism linking both conditions is insulin resistance. Insulin is an important hormone that regulates not only peripheral energy homeostasis but also brain functions, such as cognition. Insulin desensitization, therefore, could impact normal brain function increasing the risk of developing neurodegenerative disorders in later life. Paradoxically, it has been demonstrated that decreased neuronal insulin signalling can also have a protective role in aging and protein-aggregation-associated diseases, as is the case in AD. This controversy is fed by studies focused on neuronal insulin signalling. However, the role of insulin action on other brain cell types, such as astrocytes, is still unexplored. Therefore, it is worthwhile exploring the involvement of the astrocytic insulin receptor in cognition, as well as in the onset and/or development of AD.
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Affiliation(s)
- Amaia Ezkurdia
- Department of Pharmacology and Toxicology, University of Navarra, 31008 Pamplona, Spain
- IdISNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - María J. Ramírez
- Department of Pharmacology and Toxicology, University of Navarra, 31008 Pamplona, Spain
- IdISNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
| | - Maite Solas
- Department of Pharmacology and Toxicology, University of Navarra, 31008 Pamplona, Spain
- IdISNA, Navarra Institute for Health Research, 31008 Pamplona, Spain
- Correspondence:
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11
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Amin AM, Mostafa H, Khojah HMJ. Insulin resistance in Alzheimer's disease: The genetics and metabolomics links. Clin Chim Acta 2023; 539:215-236. [PMID: 36566957 DOI: 10.1016/j.cca.2022.12.016] [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: 10/30/2022] [Revised: 12/16/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with significant socioeconomic burden worldwide. Although genetics and environmental factors play a role, AD is highly associated with insulin resistance (IR) disorders such as metabolic syndrome (MS), obesity, and type two diabetes mellitus (T2DM). These findings highlight a shared pathogenesis. The use of metabolomics as a downstream systems' biology (omics) approach can help to identify these shared metabolic traits and assist in the early identification of at-risk groups and potentially guide therapy. Targeting the shared AD-IR metabolic trait with lifestyle interventions and pharmacological treatments may offer promising AD therapeutic approach. In this narrative review, we reviewed the literature on the AD-IR pathogenic link, the shared genetics and metabolomics biomarkers between AD and IR disorders, as well as the lifestyle interventions and pharmacological treatments which target this pathogenic link.
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Affiliation(s)
- Arwa M Amin
- Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Madinah, Saudi Arabia.
| | - Hamza Mostafa
- Biomarkers and Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, Food Innovation Network (XIA), Nutrition and Food Safety Research Institute (INSA), Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona (UB), 08028 Barcelona, Spain; Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid 28029, Spain
| | - Hani M J Khojah
- Department of Clinical and Hospital Pharmacy, College of Pharmacy, Taibah University, Madinah, Saudi Arabia
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12
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de Seymour JV, Beck KL, Conlon CA, von Hurst PR, Mumme KD, Haskell-Ramsay CF, Jones MB. Plasma nervonic acid levels were negatively associated with attention levels in community-living older adults in New Zealand. Metabolomics 2022; 18:54. [PMID: 35842880 PMCID: PMC9288952 DOI: 10.1007/s11306-022-01908-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 06/15/2022] [Indexed: 11/28/2022]
Abstract
The global population is aging. Preserving function and independence of our aging population is paramount. A key component to maintaining independence is the preservation of cognitive function. Metabolomics can be used to identify biomarkers of cognition before noticeable deterioration. Our study investigated the plasma metabolome of 332 community-living New Zealanders between 65 and 74 years of age, using gas chromatography-mass spectrometry. Six cognitive domains were assessed. Of the 123 metabolites identified using an in-house mass spectral libraries of standards, nervonic acid had a significant, inverse association with the attention domain (P-value = 1.52E- 4; FDR = 0.019), after adjusting for covariates (apolipoprotein E -ε4 genotype, sex, body fat percentage (standardised by sex), age, education, deprivation index, physical activity, metabolic syndrome, polypharmacy, smoking status, and alcohol intake) and multiple testing. Attention is defined as the ability to concentrate on selected aspects of the environment while ignoring other stimuli. This is the first study to identify nervonic acid as a potential biomarker of attention in older adults. Future research should confirm this association in a longitudinal study.
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Affiliation(s)
- Jamie V de Seymour
- College of Health, Massey University Auckland, Private Bag 102904, North Shore, 0745, Auckland, New Zealand
| | - Kathryn L Beck
- College of Health, Massey University Auckland, Private Bag 102904, North Shore, 0745, Auckland, New Zealand.
| | - Cathryn A Conlon
- College of Health, Massey University Auckland, Private Bag 102904, North Shore, 0745, Auckland, New Zealand
| | - Pamela R von Hurst
- College of Health, Massey University Auckland, Private Bag 102904, North Shore, 0745, Auckland, New Zealand
| | - Karen D Mumme
- College of Health, Massey University Auckland, Private Bag 102904, North Shore, 0745, Auckland, New Zealand
| | | | - Mary Beatrix Jones
- Department of Statistics, University of Auckland, 1010, Auckland, New Zealand
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13
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Liu X, Tian X, Qinghong S, Sun H, Jing L, Tang X, Guo Z, Liu Y, Wang Y, Ma J, Na R, He C, Song W, Sun W. Characterization of LC-MS based urine metabolomics in healthy children and adults. PeerJ 2022; 10:e13545. [PMID: 35762019 PMCID: PMC9233480 DOI: 10.7717/peerj.13545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 05/16/2022] [Indexed: 01/17/2023] Open
Abstract
Previous studies reported that sex and age could influence urine metabolomics, which should be considered in biomarker discovery. As a consequence, for the baseline of urine metabolomics characteristics, it becomes critical to avoid confounding effects in clinical cohort studies. In this study, we provided a comprehensive lifespan characterization of urine metabolomics in a cohort of 348 healthy children and 315 adults, aged 1 to 78 years, using liquid chromatography coupled with high resolution mass spectrometry. Our results suggest that sex-dependent urine metabolites are much greater in adults than in children. The pantothenate and CoA biosynthesis and alanine metabolism pathways were enriched in early life. Androgen and estrogen metabolism showed high activity during adolescence and youth stages. Pyrimidine metabolism was enriched in the geriatric stage. Based on the above analysis, metabolomic characteristics of each age stage were provided. This work could help us understand the baseline of urine metabolism characteristics and contribute to further studies of clinical disease biomarker discovery.
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Affiliation(s)
- Xiaoyan Liu
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaoyi Tian
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China
| | - Shi Qinghong
- China-Japan Union Hospital of Jilin University, Jilin, China
| | - Haidan Sun
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Li Jing
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Xiaoyue Tang
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Zhengguang Guo
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
| | - Ying Liu
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Yan Wang
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Jie Ma
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Ren Na
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Chengyan He
- China-Japan Union Hospital of Jilin University, Jilin, China
| | - Wenqi Song
- Department of Clinical Laboratory, National Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China
| | - Wei Sun
- Proteomics Research Center, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China
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14
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Metabolites Associated with Memory and Gait: A Systematic Review. Metabolites 2022; 12:metabo12040356. [PMID: 35448544 PMCID: PMC9024701 DOI: 10.3390/metabo12040356] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/08/2022] [Accepted: 04/13/2022] [Indexed: 01/19/2023] Open
Abstract
We recently found that dual decline in memory and gait speed was consistently associated with an increased risk of dementia compared to decline in memory or gait only or no decline across six aging cohorts. The mechanisms underlying this relationship are unknown. We hypothesize that individuals who experience dual decline may have specific pathophysiological pathways to dementia which can be indicated by specific metabolomic signatures. Here, we summarize blood-based metabolites that are associated with memory and gait from existing literature and discuss their relevant pathways. A total of 39 eligible studies were included in this systematic review. Metabolites that were associated with memory and gait belonged to five shared classes: sphingolipids, fatty acids, phosphatidylcholines, amino acids, and biogenic amines. The sphingolipid metabolism pathway was found to be enriched in both memory and gait impairments. Existing data may suggest that metabolites from sphingolipids and the sphingolipid metabolism pathway are important for both memory and gait impairments. Future studies using empirical data across multiple cohorts are warranted to identify metabolomic signatures of dual decline in memory and gait and to further understand its relationship with future dementia risk.
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15
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He S, Granot-Hershkovitz E, Zhang Y, Bressler J, Tarraf W, Yu B, Huang T, Zeng D, Wassertheil-Smoller S, Lamar M, Daviglus M, Marquine MJ, Cai J, Mosley T, Kaplan R, Boerwinkle E, Fornage M, DeCarli C, Kristal B, Gonzalez HM, Sofer T. Blood metabolites predicting mild cognitive impairment in the study of Latinos-investigation of neurocognitive aging (HCHS/SOL). ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2022; 14:e12259. [PMID: 35229015 PMCID: PMC8865745 DOI: 10.1002/dad2.12259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/17/2021] [Accepted: 09/21/2021] [Indexed: 11/19/2022]
Abstract
Introduction Blood metabolomics‐based biomarkers may be useful to predict measures of neurocognitive aging. Methods We tested the association between 707 blood metabolites measured in 1451 participants from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), with mild cognitive impairment (MCI) and global cognitive change assessed 7 years later. We further used Lasso penalized regression to construct a metabolomics risk score (MRS) that predicts MCI, potentially identifying a different set of metabolites than those discovered in individual‐metabolite analysis. Results We identified 20 metabolites predicting prevalent MCI and/or global cognitive change. Six of them were novel and 14 were previously reported as associated with neurocognitive aging outcomes. The MCI MRS comprised 61 metabolites and improved prediction accuracy from 84% (minimally adjusted model) to 89% in the entire dataset and from 75% to 87% among apolipoprotein E ε4 carriers. Discussion Blood metabolites may serve as biomarkers identifying individuals at risk for MCI among US Hispanics/Latinos.
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Affiliation(s)
- Shan He
- Department of Biostatistics Harvard T.H Chan School of Public Health Boston Massachusetts USA.,Division of Sleep and Circadian Disorders Brigham and Women's Hospital Boston Massachusetts USA
| | - Einat Granot-Hershkovitz
- Division of Sleep and Circadian Disorders Brigham and Women's Hospital Boston Massachusetts USA.,Department of Medicine Harvard Medical School Boston Massachusetts USA
| | - Ying Zhang
- Division of Sleep and Circadian Disorders Brigham and Women's Hospital Boston Massachusetts USA
| | - Jan Bressler
- Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston Houston Texas USA
| | - Wassim Tarraf
- Institute of Gerontology Wayne State University Detroit Michigan USA
| | - Bing Yu
- Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston Houston Texas USA
| | - Tianyi Huang
- Channing Division of Network Medicine Brigham and Women's Hospital Boston Massachusetts USA
| | - Donglin Zeng
- Department of Biostatistics Gillings School of Global Public Health University of North Carolina Chapel Hill North Carolina USA
| | - Sylvia Wassertheil-Smoller
- Department of Epidemiology & Population Health Department of Pediatrics Albert Einstein College of Medicine Bronx New York USA
| | - Melissa Lamar
- Department of Medicine Institute for Minority Health Research University of Illinois at Chicago Chicago Illinois USA.,Rush Alzheimer's Disease Research Center Rush University Medical Center Chicago Illinois USA
| | - Martha Daviglus
- Department of Medicine Institute for Minority Health Research University of Illinois at Chicago Chicago Illinois USA
| | - Maria J Marquine
- Department of Psychiatry University of California, San Diego San Diego California USA
| | - Jianwen Cai
- Department of Biostatistics Gillings School of Global Public Health University of North Carolina Chapel Hill North Carolina USA
| | - Thomas Mosley
- Department of Medicine University of Mississippi Medical Center Jackson Mississippi USA
| | - Robert Kaplan
- Department of Epidemiology & Population Health Department of Pediatrics Albert Einstein College of Medicine Bronx New York USA.,Division of Public Health Sciences Fred Hutchinson Cancer Research Center Seattle Washington USA
| | - Eric Boerwinkle
- Human Genetics Center School of Public Health, University of Texas Health Science Center at Houston Houston Texas USA.,Human Genome Sequencing Center Baylor College of Medicine Houston Texas USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine McGovern Medical School The University of Texas Health Science Center at Houston Houston Texas USA
| | - Charles DeCarli
- Department of Neurology, Alzheimer's Disease Center University of California, Davis Sacramento California USA
| | - Bruce Kristal
- Burke Medical Research Institute, White Plains New York USA.,Departments of Biochemistry and Neuroscience Weill Medical College of Cornell University New York New York USA
| | - Hector M Gonzalez
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Center University of California, San Diego La Jolla California USA
| | - Tamar Sofer
- Department of Biostatistics Harvard T.H Chan School of Public Health Boston Massachusetts USA.,Division of Sleep and Circadian Disorders Brigham and Women's Hospital Boston Massachusetts USA.,Department of Medicine Harvard Medical School Boston Massachusetts USA
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16
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Palacios N, Lee JS, Scott T, Kelly RS, Bhupathiraju SN, Bigornia SJ, Tucker KL. Circulating Plasma Metabolites and Cognitive Function in a Puerto Rican Cohort. J Alzheimers Dis 2021; 76:1267-1280. [PMID: 32716356 DOI: 10.3233/jad-200040] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Minorities, including mainland Puerto Ricans, are impacted disproportionally by Alzheimer's disease (AD), dementia, and cognitive decline. Studying blood metabolomics in this population has the potential to probe the biological underpinnings of this health disparity. OBJECTIVE We performed a comprehensive analysis of circulating plasma metabolites in relation to cognitive function in 736 participants from the Boston Puerto Rican Health Study (BPRHS) who underwent untargeted mass-spectrometry based metabolomics analysis and had undergone a battery of in-person cognitive testing at baseline. METHODS After relevant exclusions, 621 metabolites were examined. We used multivariable regression, adjusted for age, sex, education, apolipoprotein E genotype, smoking, and Mediterranean dietary pattern, to identify metabolites related to global cognitive function in our cohort. LASSO machine learning was used in a complementary analysis to identify metabolites that could discriminate good from poor extremes of cognition. We also conducted sensitivity analyses: restricted to participants without diabetes, and to participants with good adherence to Mediterranean diet. RESULTS Of 621 metabolites, FDR corrected (p < 0.05) multivariable linear regression identified 3 metabolites positively, and 10 negatively, associated with cognitive function in the BPRHS. In a combination of FDR-corrected linear regression, logistic regression regularized via LASSO, and sensitivity analyses restricted to participants without diabetes, and with good adherence to the Mediterranean diet, β-cryptoxanthin plasma concentration was consistently associated with better cognitive function and N-acetylisoleucine and tyramine O-sulfate concentrations were consistently associated with worse cognitive function. CONCLUSION This untargeted metabolomics study identified potential biomarkers for cognitive function in a cohort of Puerto Rican older adults.
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Affiliation(s)
- Natalia Palacios
- Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA.,Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA.,Geriatric Research Education Clinical Center, Department of Veterans Affairs, ENRM VA Hospital, Bedford, MA, USA
| | - Jong Soo Lee
- Department of Mathematical Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Tammy Scott
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Shilpa N Bhupathiraju
- Department of Nutrition, Harvard University School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Sherman J Bigornia
- University of New Hampshire, Department of Agriculture, Nutrition, and Food Systems
| | - Katherine L Tucker
- Department of Biomedical and Nutritional Sciences, University of Massachusetts Lowell, Lowell, MA, USA
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17
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Lightning TA, Gesteira TF, Mueller JW. Steroid disulfates - Sulfation double trouble. Mol Cell Endocrinol 2021; 524:111161. [PMID: 33453296 DOI: 10.1016/j.mce.2021.111161] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 12/24/2020] [Accepted: 01/05/2021] [Indexed: 02/08/2023]
Abstract
Sulfation pathways have recently come into the focus of biomedical research. For steroid hormones and related compounds, sulfation represents an additional layer of regulation as sulfated steroids are more water-soluble and tend to be biologically less active. For steroid diols, an additional sulfation is possible, carried out by the same sulfotransferases that catalyze the first sulfation step. The steroid disulfates that are formed are the focus of this review. We discuss both their biochemical production as well as their putative biological function. Steroid disulfates have also been linked to various clinical conditions in numerous untargeted metabolomics studies. New analytical techniques exploring the biosynthetic routes of steroid disulfates have led to novel insights, changing our understanding of sulfation in human biology. They promise a bright future for research into sulfation pathways, hopefully too for the diagnosis and treatment of several associated diseases.
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Affiliation(s)
- Thomas Alec Lightning
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Tarsis F Gesteira
- College of Optometry, University of Houston, Houston, TX, USA; Optimvia, LLC, Batavia, OH, USA
| | - Jonathan Wolf Mueller
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK; Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK.
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18
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Lefèvre-Arbogast S, Hejblum BP, Helmer C, Klose C, Manach C, Low DY, Urpi-Sarda M, Andres-Lacueva C, González-Domínguez R, Aigner L, Altendorfer B, Lucassen PJ, Ruigrok SR, De Lucia C, Du Preez A, Proust-Lima C, Thuret S, Korosi A, Samieri C. Early signature in the blood lipidome associated with subsequent cognitive decline in the elderly: A case-control analysis nested within the Three-City cohort study. EBioMedicine 2021; 64:103216. [PMID: 33508744 PMCID: PMC7841305 DOI: 10.1016/j.ebiom.2021.103216] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Revised: 01/04/2021] [Accepted: 01/05/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Brain lipid metabolism appears critical for cognitive aging, but whether alterations in the lipidome relate to cognitive decline remains unclear at the system level. METHODS We studied participants from the Three-City study, a multicentric cohort of older persons, free of dementia at time of blood sampling, and who provided repeated measures of cognition over 12 subsequent years. We measured 189 serum lipids from 13 lipid classes using shotgun lipidomics in a case-control sample on cognitive decline (matched on age, sex and level of education) nested within the Bordeaux study center (discovery, n = 418). Associations with cognitive decline were investigated using bootstrapped penalized regression, and tested for validation in the Dijon study center (validation, n = 314). FINDINGS Among 17 lipids identified in the discovery stage, lower levels of the triglyceride TAG50:5, and of four membrane lipids (sphingomyelin SM40:2,2, phosphatidylethanolamine PE38:5(18:1/20:4), ether-phosphatidylethanolamine PEO34:3(16:1/18:2), and ether-phosphatidylcholine PCO34:1(16:1/18:0)), and higher levels of PCO32:0(16:0/16:0), were associated with greater odds of cognitive decline, and replicated in our validation sample. INTERPRETATION These findings indicate that in the blood lipidome of non-demented older persons, a specific profile of lipids involved in membrane fluidity, myelination, and lipid rafts, is associated with subsequent cognitive decline. FUNDING The complete list of funders is available at the end of the manuscript, in the Acknowledgement section.
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Affiliation(s)
- Sophie Lefèvre-Arbogast
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France
| | - Boris P Hejblum
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France; Inria SISTM, Bordeaux Sud-Ouest, Bordeaux 33000, France
| | - Catherine Helmer
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France
| | | | - Claudine Manach
- University of Clermont Auvergne, INRA, UMR1019, Human Nutrition Unit, Clermont Ferrand 63000, France
| | - Dorrain Y Low
- University of Clermont Auvergne, INRA, UMR1019, Human Nutrition Unit, Clermont Ferrand 63000, France
| | - Mireia Urpi-Sarda
- Nutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain
| | - Cristina Andres-Lacueva
- Nutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain
| | - Raúl González-Domínguez
- Nutrition, Food Science and Gastronomy Department, Faculty of Pharmacy and Food Science, CIBER Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, University of Barcelona, Barcelona 08028, Spain
| | - Ludwig Aigner
- Institute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg 5020, Austria
| | - Barbara Altendorfer
- Institute of Molecular Regenerative Medicine, Spinal Cord Injury and Tissue Regeneration Center Salzburg, Paracelsus Medical University, Salzburg 5020, Austria
| | - Paul J Lucassen
- Brain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands
| | - Silvie R Ruigrok
- Brain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands
| | - Chiara De Lucia
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom
| | - Andrea Du Preez
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom
| | - Cécile Proust-Lima
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France
| | - Sandrine Thuret
- Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE5 9NU, United Kingdom; Department of Neurology, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - Aniko Korosi
- Brain Plasticity Group, Swammerdam Institute for Life Sciences, Center for Neuroscience, University of Amsterdam, Amsterdam 1098 XH, Netherlands
| | - Cécilia Samieri
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, 146 rue Léo-Saignat, Bordeaux 33076, France.
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19
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Darst BF, Huo Z, Jonaitis EM, Koscik RL, Clark LR, Lu Q, Kremen WS, Franz CE, Rana B, Lyons MJ, Hogan KJ, Zhao J, Johnson SC, Engelman CD. Metabolites Associated with Early Cognitive Changes Implicated in Alzheimer's Disease. J Alzheimers Dis 2021; 79:1041-1054. [PMID: 33427733 PMCID: PMC8054536 DOI: 10.3233/jad-200176] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Understanding metabolic mechanisms associated with cognitive changes preceding an Alzheimer's disease (AD) diagnosis could advance our understanding of AD progression and inform preventive methods. OBJECTIVE We investigated the metabolomics of the early changes in executive function and delayed recall, the earliest aspects of cognitive function to change in the course of AD development, in order to better understand mechanisms that could contribute to early stages and progression of this disease. METHODS This investigation used longitudinal plasma samples from the Wisconsin Registry for Alzheimer's Prevention (WRAP), a cohort of participants who were dementia free at enrollment and enriched with a parental history of AD. Metabolomic profiles were quantified for 2,324 fasting plasma samples among 1,200 participants, each with up to three study visits, which occurred every two years. Metabolites were individually tested for association with executive function and delayed recall trajectories across age. RESULTS Of 1,097 metabolites tested, levels of seven were associated with executive function trajectories, including an amino acid cysteine S-sulfate and three fatty acids, including erucate (22 : 1n9), while none were associated with delayed recall trajectories. Replication was attempted for four of these metabolites that were present in the Vietnam Era Twin Study of Aging (VETSA). Although none reached statistical significance, three of these associations showed consistent effectdirections. CONCLUSION Our results suggest potential metabolomic mechanisms that could contribute to the earliest signs of cognitive decline. In particular, fatty acids may be associated with cognition in a manner that is more complex than previously suspected.
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Affiliation(s)
- Burcu F. Darst
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Zhiguang Huo
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Erin M. Jonaitis
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca L. Koscik
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Lindsay R. Clark
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Qiongshi Lu
- Department of Biostatistics & Medical Informatics, University of Wisconsin, Madison, WI, USA
| | | | | | - Brinda Rana
- University of California, San Diego, La Jolla, CA, USA
| | - Michael J. Lyons
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, USA
| | - Kirk J. Hogan
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Department of Anesthesiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Jinying Zhao
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Corinne D. Engelman
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
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20
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Huo Z, Rana BK, Elman JA, Dong R, Engelman CD, Johnson SC, Lyons MJ, Franz CE, Kremen WS, Zhao J. Metabolic Profiling of Cognitive Aging in Midlife. Front Aging Neurosci 2020; 12:555850. [PMID: 33250761 PMCID: PMC7674168 DOI: 10.3389/fnagi.2020.555850] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Accepted: 10/16/2020] [Indexed: 01/08/2023] Open
Abstract
Alzheimer's dementia (AD) begins many years before its clinical symptoms. Metabolic dysfunction represents a core feature of AD and cognitive impairment, but few metabolomic studies have focused on cognitive aging in midlife. Using an untargeted metabolomics approach, we identified metabolic predictors of cognitive aging in midlife using fasting plasma sample from 30 middle-aged (mean age 57.2), male-male twin pairs enrolled in the Vietnam Era Twin Study of Aging (VETSA). For all twin pairs, one twin developed incident MCI, whereas his co-twin brother remained to be cognitively normal during an average 5.5-year follow-up. Linear mixed model was used to identify metabolites predictive of MCI conversion or cognitive change over time, adjusting for traditional risk factors. Results from twins were replicated in an independent cohort of middle-aged adults (mean age 59.1) in the Wisconsin Registry for Alzheimer's Prevention (WRAP). Results in twins showed that higher baseline levels of four plasma metabolites, including sphingomyelin (d18:1/20:1 and d18:2/20:0), sphingomyelin (d18:1/22:1, d18:2/22:0, and d16:1/24:1), DAG (18:2/20:4), and hydroxy-CMPF, were significantly associated with a slower decrease in one or more domains of cognitive function. The association of sphingomyelin (d18:1/20:1 and d18:2/20:0) was replicated in WRAP. Our results support that metabolic perturbation occurs many years before cognitive impairment and plasma metabolites may serve as early biomarkers for prediction or monitoring of cognitive aging and AD in midlife.
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Affiliation(s)
- Zhiguang Huo
- Department of Biostatistics, University of Florida, Gainesville, FL, United States
| | - Brinda K. Rana
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Jeremy A. Elman
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - Ruocheng Dong
- Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Corinne D. Engelman
- Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Sterling C. Johnson
- Wisconsin Alzheimer’s Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
- Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Michael J. Lyons
- Department of Psychological & Brain Sciences, Boston University, Boston, MA, United States
| | - Carol E. Franz
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
| | - William S. Kremen
- Department of Psychiatry, University of California, San Diego, San Diego, CA, United States
- Center of Excellence for Stress and Mental Health, Veterans Affairs San Diego Healthcare System, San Diego, CA, United States
| | - Jinying Zhao
- Department of Epidemiology, University of Florida, Gainesville, FL, United States
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21
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Abstract
PURPOSE OF REVIEW This review focuses on the relationships between diabetes, cognitive impairment, and the contribution of kidney disease. RECENT FINDINGS We review the independent contributions of parameters of kidney disease, including albuminuria, glomerular filtration, bone/mineral metabolism, and vitamin D synthesis, on cognitive performance in patients with diabetes. Potential pathophysiologic mechanisms underlying these associations are discussed highlighting gaps in existing knowledge. Finally, effects of the dialysis procedure on the brain and cognitive performance are considered. Emphasis is placed on novel non-invasive screening tools with the potential to preserve cerebral perfusion during hemodialysis and limit cognitive decline in patients with diabetic ESKD. Patients with type 2 diabetes and advanced chronic kidney disease suffer a higher prevalence of cognitive impairment. This is particularly true in patients with diabetes and end-stage kidney disease (ESKD).
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Affiliation(s)
- Shivani Ghoshal
- Department of Neurology, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157, USA.
| | - Nicholette D Allred
- Department of Biochemistry and Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, 1 Medical Center Blvd, Winston-Salem, NC, 27157-1053, USA.
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22
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Yi M, Zhang C, Zhang Z, Yi P, Xu P, Huang J, Peng W. Integrated Metabolomic and Lipidomic Analysis Reveals the Neuroprotective Mechanisms of Bushen Tiansui Formula in an A β1-42-Induced Rat Model of Alzheimer's Disease. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2020; 2020:5243453. [PMID: 32655770 PMCID: PMC7322593 DOI: 10.1155/2020/5243453] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 05/13/2020] [Indexed: 11/17/2022]
Abstract
Bushen Tiansui Formula (BSTSF) is a traditional Chinese medicine prescription. It has been widely applied to treat Alzheimer's disease (AD) in the clinic; however, the mechanisms underlying its effects remain largely unknown. In this study, we used a rat AD model to study the effects of BSTSF on cognitive performance, and UPLC-MS/MS-based metabolomic and lipidomic analysis was further performed to identify significantly altered metabolites in the cerebral cortices of AD rats and determine the effects of BSTSF on the metabolomic and lipidomic profiles in the cerebral cortices of these animals. The results revealed that the levels of 47 metabolites and 30 lipids primarily associated with sphingolipid metabolism, glycerophospholipid metabolism, and linoleic acid metabolism were significantly changed in the cerebral cortices of AD rats. Among the altered lipids, ceramides, phosphatidylethanolamines, lysophosphatidylethanolamines, phosphatidylcholines, lysophosphatidylcholines, phosphatidylserines, sphingomyelins, and phosphatidylglycerols showed robust changes. Moreover, 34 differential endogenous metabolites and 21 lipids, of which the levels were mostly improved in the BSTSF treatment group, were identified as potential therapeutic targets of BSTSF against AD. Our results suggest that lipid metabolism is highly dysregulated in the cerebral cortices of AD rats, and BSTSF may exert its neuroprotective mechanisms by restoring metabolic balance, including that of sphingolipid metabolism, glycerophospholipid metabolism, alanine, aspartate, and glutamate metabolism, and D-glutamine and D-glutamate metabolism. Our data may lead to a deeper understanding of the AD-associated metabolic profile and shed new light on the mechanism underlying the therapeutic effects of BSTSF.
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Affiliation(s)
- Min Yi
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Chunhu Zhang
- Department of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
| | - Zheyu Zhang
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Pengji Yi
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Panpan Xu
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Jianhua Huang
- Hunan Academy of Chinese Medicine, Changsha 410013, China
| | - Weijun Peng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
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23
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Cui M, Jiang Y, Zhao Q, Zhu Z, Liang X, Zhang K, Wu W, Dong Q, An Y, Tang H, Ding D, Chen X. Metabolomics and incident dementia in older Chinese adults: The Shanghai Aging Study. Alzheimers Dement 2020; 16:779-788. [PMID: 32270572 DOI: 10.1002/alz.12074] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 12/27/2019] [Accepted: 01/03/2020] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Metabolomics provide a promising tool to understand the pathogenesis and to identify novel biomarkers of dementia. This study aimed to determine circulating metabolites associated with incident dementia in a Chinese cohort, and whether a selected metabolite panel could predict dementia. METHODS Thirty-eight metabolites in baseline serum were profiled by nuclear magnetic resonance in 1440 dementia-free participants followed 5 years in the Shanghai Aging Study. RESULTS Higher serum levels of glutamine and O-acetyl-glycoproteins were associated with increased risk of dementia, whereas glutamate, tyrosine, acetate, glycine, and phenylalanine were negatively related to incident dementia. A panel of five metabolites selected by least absolute shrinkage and selection operator within cross-validation regression analysis could predict incident dementia with an area under the receiver-operating characteristic curve of 0.72. DISCUSSION We identified seven candidate serum metabolic biomarkers for dementia. These findings and the underlying biological mechanisms need to be further replicated and elucidated in future studies.
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Affiliation(s)
- Mei Cui
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China.,School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.,Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Qiang Dong
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Huiru Tang
- Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China.,National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China.,School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
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24
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Huo Z, Yu L, Yang J, Zhu Y, Bennett DA, Zhao J. Brain and blood metabolome for Alzheimer's dementia: findings from a targeted metabolomics analysis. Neurobiol Aging 2020; 86:123-133. [PMID: 31785839 PMCID: PMC6995427 DOI: 10.1016/j.neurobiolaging.2019.10.014] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 10/22/2019] [Accepted: 10/24/2019] [Indexed: 11/26/2022]
Abstract
The development of Alzheimer's dementia (AD) accompanies both central and peripheral metabolic disturbance, but the metabolic basis underlying AD and metabolic markers predictive of AD risk remain to be determined. It is also unclear whether the metabolic changes in the peripheral blood and brain are overlapping in relation to AD. The present study addresses these questions by targeted metabolomics in both antemortem blood and postmortem brain samples in 2 community-based longitudinal cohorts of aging and dementia. We found that higher serum levels of 3 acylcarnitines, including decanoylcarnitine (C10), pimelylcarnitine (C7-DC), and tetradecadienylcarnitine (C14:2), significantly predict a lower risk of incident AD (composite hazard ratio = 0.368, 95% CI [0.207, 0.653]) after an average of 4.5-year follow-up, independent of age, sex, and education. In addition, baseline serum levels of ten glycerophospholipids, one amino acid, and 5 acylcarnitines predict the longitudinal change in cognitive functions. Moreover, 28 brain metabolites were associated with AD phenotypes. Of the putative metabolites identified in the serum and brain, 4 metabolites (3 glycerophospholipids [PC aa C30:0, PC ae C34:0, PC ae C36:1] and 1 acylcarnitine [C14:2]) were present in both the postmortem brain and antemortem blood, but only one metabolite (C14:2) was associated with AD in the same direction (i.e., protective). Partial correlation and network analyses suggest a potential tissue-specific regulation of metabolism, although other alternatives exist. Together, we identified significant associations of both central and peripheral metabolites with AD phenotypes, but there seems to be little overlap between the 2 tissues.
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Affiliation(s)
- Zhiguang Huo
- Department of Biostatistics, University of Florida, Gainesville, FL, USA
| | - Lei Yu
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Yun Zhu
- Department of Epidemiology, University of Florida, Gainesville, FL, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Jinying Zhao
- Department of Epidemiology, University of Florida, Gainesville, FL, USA.
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25
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Barupal DK, Baillie R, Fan S, Saykin AJ, Meikle PJ, Arnold M, Nho K, Fiehn O, Kaddurah-Daouk R. Sets of coregulated serum lipids are associated with Alzheimer's disease pathophysiology. ALZHEIMER'S & DEMENTIA: DIAGNOSIS, ASSESSMENT & DISEASE MONITORING 2019; 11:619-627. [PMID: 31517024 PMCID: PMC6732667 DOI: 10.1016/j.dadm.2019.07.002] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Introduction Comorbidity with metabolic diseases indicates that lipid metabolism plays a role in the etiology of Alzheimer's disease (AD). Comprehensive lipidomic analysis can provide new insights into the altered lipid metabolism in AD. Method In this study, a total 349 serum lipids were measured in 806 participants enrolled in the Alzheimer's Disease Neuroimaging Initiative Phase 1 cohort and analyzed using lipid-set enrichment statistics, a data mining method to find coregulated lipid sets. Results We found that sets of blood lipids were associated with current AD biomarkers and with AD clinical symptoms. AD diagnosis was associated with 7 of 28 lipid sets of which four also correlated with cognitive decline, including polyunsaturated fatty acids. Cerebrospinal fluid amyloid beta (Aβ1-42) correlated with glucosylceramides, lysophosphatidylcholines and unsaturated triacylglycerides; cerebrospinal fluid total tau and brain atrophy correlated with monounsaturated sphingomyelins and ceramides, in addition to EPA-containing lipids. Discussion AD-associated lipid sets indicated that lipid desaturation, elongation, and acyl chain remodeling processes are disturbed in AD subjects. Monounsaturated lipid metabolism was important in early stages of AD, whereas the polyunsaturated lipid metabolism was associated with later stages of AD. Our study provides several new hypotheses for studying the role of lipid metabolism in AD. Twenty eight coregulatory lipid sets are identified in Alzheimer's Disease Neuroimaging Initiative lipidomics data. Distinct lipid pathways are associated with cerebrospinal fluid biomarkers, brain atrophy, and Alzheimer's disease (AD) diagnosis. Monounsaturated lipids play a role in the AD initiation and early neurodegeneration. Polyunsaturated lipids are associated with AD diagnosis.
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Affiliation(s)
- Dinesh Kumar Barupal
- NIH-West Coast Metabolomics Center, University of California, Davis, CA 95616, USA
| | | | - Sili Fan
- NIH-West Coast Metabolomics Center, University of California, Davis, CA 95616, USA
| | - Andrew J. Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
- Medical and Molecular Genetics Department, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Peter J. Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Matthias Arnold
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Kwangsik Nho
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA
- Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Oliver Fiehn
- NIH-West Coast Metabolomics Center, University of California, Davis, CA 95616, USA
- Corresponding author. Tel.: +1-530-754-8258; Fax: +1-530-754-9658.
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Department of Medicine and the Duke Institute for Brain Sciences, Duke University, Durham, NC, USA
- Corresponding author. Tel.: +1-919-684-2611; Fax: +1-919-681-7668.
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Shi M, Bazzano LA, He J, Gu X, Li C, Li S, Yaffe K, Kinchen JM, Stuchlik P, Mi X, Nierenberg JL, Razavi AC, Kelly TN. Novel serum metabolites associate with cognition phenotypes among Bogalusa Heart Study participants. Aging (Albany NY) 2019; 11:5124-5139. [PMID: 31327759 PMCID: PMC6682535 DOI: 10.18632/aging.102107] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 07/12/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Metabolomics study provides an opportunity to identify novel molecular determinants of altered cognitive function. METHODS During 2013 to 2016 Bogalusa Heart Study (BHS) visit, 1,177 participants underwent untargeted, ultrahigh performance liquid chromatography-tandem mass spectroscopy metabolomics profiling. Global cognition and five cognition domains were also assessed. The cross-sectional associations of single metabolites with cognition were tested using multiple linear regression models. Weighted correlation network analysis was used to examine the covariable-adjusted correlations of modules of co-abundant metabolites with cognition. Analyses were conducted in the overall sample and according to both ethnicity and sex. RESULTS Five known metabolites and two metabolite modules robustly associated with cognition across overall and stratified analyses. Two metabolites were from lipid sub-pathways including fatty acid metabolism [9-hydroxystearate; minimum P-value (min-P)=1.11×10-5], and primary bile acid metabolism (glyco-alpha-muricholate; min-P=4.10×10-5). One metabolite from the glycogen metabolism sub-pathway (maltose; min-P=9.77×10-6), one from the polyamine metabolism sub-pathway (N-acetyl-isoputreanine; min-P=1.03×10-5), and one from the purine metabolism sub-pathway (7-methylguanine; min-P=1.19×10-5) were also identified. Two metabolite modules reflecting bile acid metabolism and androgenic steroids correlated with cognition (min-P=5.00×10-4 and 3.00×10-3, respectively). CONCLUSION The novel associations of 5 known metabolites and 2 metabolite modules with cognition provide insights into the physiological mechanisms regulating cognitive function.
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Affiliation(s)
- Mengyao Shi
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | - Lydia A. Bazzano
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | - Xiaoying Gu
- Institute of Clinical Medical Science, China-Japan Friendship Hospital, National Clinical Research Center of Respiratory Diseases, Beijing, China
| | - Changwei Li
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA 30602, USA
| | - Shengxu Li
- Children's Minnesota Research Institute, Children's Hospitals and Clinics of Minnesota, Minneapolis, MN 55404, USA
| | - Kristine Yaffe
- School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | | | - Patrick Stuchlik
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | - Xuenan Mi
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
| | | | | | - Tanika N. Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA 70112, USA
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Nutrition and Metabolic Profiles in the Natural History of Dementia: Recent Insights from Systems Biology and Life Course Epidemiology. Curr Nutr Rep 2019; 8:256-269. [DOI: 10.1007/s13668-019-00285-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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28
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Jiang Y, Zhu Z, Shi J, An Y, Zhang K, Wang Y, Li S, Jin L, Ye W, Cui M, Chen X. Metabolomics in the Development and Progression of Dementia: A Systematic Review. Front Neurosci 2019; 13:343. [PMID: 31031585 PMCID: PMC6474157 DOI: 10.3389/fnins.2019.00343] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 03/25/2019] [Indexed: 12/12/2022] Open
Abstract
Dementia has become a major global public health challenge with a heavy economic burden. It is urgently necessary to understand dementia pathogenesis and to identify biomarkers predicting risk of dementia in the preclinical stage for prevention, monitoring, and treatment. Metabolomics provides a novel approach for the identification of biomarkers of dementia. This systematic review aimed to examine and summarize recent retrospective cohort human studies assessing circulating metabolite markers, detected using high-throughput metabolomics, in the context of disease progression to dementia, including incident mild cognitive impairment, all-cause dementia, and cognitive decline. We systematically searched the PubMed, Embase, and Cochrane databases for retrospective cohort human studies assessing associations between blood (plasma or serum) metabolomics profile and cognitive decline and risk of dementia from inception through October 15, 2018. We identified 16 studies reporting circulating metabolites and risk of dementia, and six regarding cognitive performance change. Concentrations of several blood metabolites, including lipids (higher phosphatidylcholines, sphingomyelins, and lysophophatidylcholine, and lower docosahexaenoic acid and high-density lipoprotein subfractions), amino acids (lower branched-chain amino acids, creatinine, and taurine, and higher glutamate, glutamine, and anthranilic acid), and steroids were associated with cognitive decline and the incidence or progression of dementia. Circulating metabolites appear to be associated with the risk of dementia. Metabolomics could be a promising tool in dementia biomarker discovery. However, standardization and consensus guidelines for study design and analytical techniques require future development.
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Affiliation(s)
- Yanfeng Jiang
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China
| | - Zhen Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Key Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Jie Shi
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yanpeng An
- State Key Laboratory of Genetic Engineering, Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, China
| | - Kexun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Key Laboratory of Public Health Safety of Ministry of Education, Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
| | - Yingzhe Wang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Shuyuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Li Jin
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Human Phenome Institute, Fudan University, Shanghai, China
| | - Weimin Ye
- Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mei Cui
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.,Fudan University Taizhou Institute of Health Sciences, Taizhou, China.,Human Phenome Institute, Fudan University, Shanghai, China
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29
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Cognitive impairment correlates with serum carbonyl compound profiles in subclinical carotid atherosclerosis. Neuroreport 2018; 29:1550-1557. [DOI: 10.1097/wnr.0000000000001147] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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