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Arnold M, Buyukozkan M, Doraiswamy PM, Nho K, Wu T, Gudnason V, Launer LJ, Wang-Sattler R, Adamski J, De Jager PL, Ertekin-Taner N, Bennett DA, Saykin AJ, Peters A, Suhre K, Kaddurah-Daouk R, Kastenmüller G, Krumsiek J. Individual bioenergetic capacity as a potential source of resilience to Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.23.23297820. [PMID: 38313266 PMCID: PMC10836119 DOI: 10.1101/2024.01.23.23297820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2024]
Abstract
Impaired glucose uptake in the brain is one of the earliest presymptomatic manifestations of Alzheimer's disease (AD). The absence of symptoms for extended periods of time suggests that compensatory metabolic mechanisms can provide resilience. Here, we introduce the concept of a systemic 'bioenergetic capacity' as the innate ability to maintain energy homeostasis under pathological conditions, potentially serving as such a compensatory mechanism. We argue that fasting blood acylcarnitine profiles provide an approximate peripheral measure for this capacity that mirrors bioenergetic dysregulation in the brain. Using unsupervised subgroup identification, we show that fasting serum acylcarnitine profiles of participants from the AD Neuroimaging Initiative yields bioenergetically distinct subgroups with significant differences in AD biomarker profiles and cognitive function. To assess the potential clinical relevance of this finding, we examined factors that may offer diagnostic and therapeutic opportunities. First, we identified a genotype affecting the bioenergetic capacity which was linked to succinylcarnitine metabolism and significantly modulated the rate of future cognitive decline. Second, a potentially modifiable influence of beta-oxidation efficiency seemed to decelerate bioenergetic aging and disease progression. Our findings, which are supported by data from more than 9,000 individuals, suggest that interventions tailored to enhance energetic health and to slow bioenergetic aging could mitigate the risk of symptomatic AD, especially in individuals with specific mitochondrial genotypes.
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Affiliation(s)
- Matthias Arnold
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Mustafa Buyukozkan
- Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - P. Murali Doraiswamy
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Tong Wu
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Vilmundur Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Icelandic Heart Association, Kopavogur, Iceland
| | - Lenore J. Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland
| | - Rui Wang-Sattler
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | | | | | - Philip L. De Jager
- Center for Translational & Computational Neuroimmunology, Department of Neurology, Taub Institute, Columbia University Irving Medical Center, New York Presbyterian Hospital, New York, NY, USA
| | | | - David A. Bennett
- Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, IL, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences and Indiana Alzheimer’s Disease Research Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; IBE, Medical Faculty, Ludwig-Maximilians-Universität, Munich, Germany; German Center for Diabetes Research (DZD e.V.), Munich, Germany; German Center for Cardiovascular Disease (DZHK e.V.), Munich Heart Alliance, Munich, Germany
| | - Karsten Suhre
- Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
- Duke Institute of Brain Sciences, Duke University, Durham, NC, USA
- Department of Medicine, Duke University, Durham, NC, USA
| | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jan Krumsiek
- Institute for Computational Biomedicine, Englander Institute for Precision Medicine, Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
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George R, Maiti S, Ganapathy DM. Estimation of L-carnitine levels in diabetic completely edentulous patients for implant diagnosis: A cross-sectional study. Dent Res J (Isfahan) 2023; 20:96. [PMID: 37810450 PMCID: PMC10557996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 05/07/2023] [Accepted: 05/26/2023] [Indexed: 10/10/2023] Open
Abstract
Background Carnitine is effective in preventing the accumulation of end products related to lipid peroxidation due to its anti-inflammatory and antioxidant effects. Carnitine also exerts a significant anti-inflammatory role through the downregulation of the nuclear factor kappa beta pathway, which leads to a decrease in the expression of pro-inflammatory cytokines.The aim of the study was to estimate the L-carnitine (L-C) levels in diabetic completely edentulous patients. Materials and Methods A cross-sectional study was conducted after the selection of 60 samples based on the inclusion and exclusion criteria. The collected saliva samples were utilized to measure the levels of L-C using the sandwich enzyme-linked immunosorbent assay (ELISA) method. One hundred microliters of sample was applied to a particular row of wells and incubated for an hour as part of the sandwich ELISA procedure. After the wells had been cleaned, a second batch of monoclonal L-C was added, and they were once more incubated for an hour. The horseradish peroxidase substrate was then applied after washing the second batch as well. To allow the blue-to-yellow color transition, the wells were kept steady. Following the observation of the color shift, the OD was measured, and the concentration was determined using the sandwich ELISA kit's standard curve as an intercept. The data were statistically analyzed using the independent t-test (significant level P < 0.05) and were tabulated. Results The L-C levels have higher levels in nondiabetic patients than in diabetic patients. The difference in the baseline mean value between the groups was statistically significant (P = 0.00). Although it is statistically significant (P = 0.00), the mean value for diabetic individuals is 0.19 as opposed to 0.29 for nondiabetic patients. Conclusion Based on the findings, it can be concluded that L-C improves insulin sensitivity and glucose disposal in diabetic completely edentulous patients.
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Affiliation(s)
- Rinki George
- Departments of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
| | - Subhabrata Maiti
- Departments of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
| | - Dhanraj M. Ganapathy
- Departments of Prosthodontics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India
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Huguenard CJC, Cseresznye A, Darcey T, Nkiliza A, Evans JE, Hazen SL, Mullan M, Crawford F, Abdullah L. Age and APOE affect L-carnitine system metabolites in the brain in the APOE-TR model. Front Aging Neurosci 2023; 14:1059017. [PMID: 36688151 PMCID: PMC9853982 DOI: 10.3389/fnagi.2022.1059017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 12/12/2022] [Indexed: 01/07/2023] Open
Abstract
With age the apolipoprotein E (APOE) E4 allele (involved in lipid homeostasis) is associated with perturbation of bioenergetics pathways in Alzheimer's disease (AD). We therefore hypothesized that in aging mice APOE genotype would affect the L-carnitine system (central to lipid bioenergetics), in the brain and in the periphery. Using liquid chromatography-mass spectrometry, levels of L-carnitine and associated metabolites: γ-butyrobetaine (GBB), crotonobetaine, as well as acylcarnitines, were evaluated at 10-, 25-, and 50-weeks, in the brain and the periphery, in a targeted replacement mouse model of human APOE (APOE-TR). Aged APOE-TR mice were also orally administered 125 mg/kg of L-carnitine daily for 7 days followed by evaluation of brain, liver, and plasma L-carnitine system metabolites. Compared to E4-TR, an age-dependent increase among E2- and E3-TR mice was detected for medium- and long-chain acylcarnitines (MCA and LCA, respectively) within the cerebrovasculature and brain parenchyma. While following L-carnitine oral challenge, E4-TR mice had higher increases in the L-carnitine metabolites, GBB and crotonobetaine in the brain and a reduction of plasma to brain total acylcarnitine ratios compared to other genotypes. These studies suggest that with aging, the presence of the E4 allele may contribute to alterations in the L-carnitine bioenergetic system and to the generation of L-carnitine metabolites that could have detrimental effects on the vascular system. Collectively the E4 allele and aging may therefore contribute to AD pathogenesis through aging-related lipid bioenergetics as well as cerebrovascular dysfunctions.
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Affiliation(s)
- Claire J. C. Huguenard
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
- School of Life, Health and Chemical Sciences, Open University, Milton Keynes, United Kingdom
| | - Adam Cseresznye
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
| | - Teresa Darcey
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
| | - Aurore Nkiliza
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
- James A. Haley VA Hospital, Tampa, FL, United States
| | - James E. Evans
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
| | - Stanley L. Hazen
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic, Cleveland, OH, United States
| | - Michael Mullan
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
- School of Life, Health and Chemical Sciences, Open University, Milton Keynes, United Kingdom
| | - Fiona Crawford
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
- School of Life, Health and Chemical Sciences, Open University, Milton Keynes, United Kingdom
- James A. Haley VA Hospital, Tampa, FL, United States
| | - Laila Abdullah
- Department of Metabolomics, Roskamp Institute, Sarasota, FL, United States
- School of Life, Health and Chemical Sciences, Open University, Milton Keynes, United Kingdom
- James A. Haley VA Hospital, Tampa, FL, United States
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Yassine HN, Self W, Kerman BE, Santoni G, Navalpur Shanmugam N, Abdullah L, Golden LR, Fonteh AN, Harrington MG, Gräff J, Gibson GE, Kalaria R, Luchsinger JA, Feldman HH, Swerdlow RH, Johnson LA, Albensi BC, Zlokovic BV, Tanzi R, Cunnane S, Samieri C, Scarmeas N, Bowman GL. Nutritional metabolism and cerebral bioenergetics in Alzheimer's disease and related dementias. Alzheimers Dement 2022; 19:10.1002/alz.12845. [PMID: 36479795 PMCID: PMC10576546 DOI: 10.1002/alz.12845] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 09/12/2022] [Accepted: 10/05/2022] [Indexed: 12/13/2022]
Abstract
Disturbances in the brain's capacity to meet its energy demand increase the risk of synaptic loss, neurodegeneration, and cognitive decline. Nutritional and metabolic interventions that target metabolic pathways combined with diagnostics to identify deficits in cerebral bioenergetics may therefore offer novel therapeutic potential for Alzheimer's disease (AD) prevention and management. Many diet-derived natural bioactive components can govern cellular energy metabolism but their effects on brain aging are not clear. This review examines how nutritional metabolism can regulate brain bioenergetics and mitigate AD risk. We focus on leading mechanisms of cerebral bioenergetic breakdown in the aging brain at the cellular level, as well as the putative causes and consequences of disturbed bioenergetics, particularly at the blood-brain barrier with implications for nutrient brain delivery and nutritional interventions. Novel therapeutic nutrition approaches including diet patterns are provided, integrating studies of the gut microbiome, neuroimaging, and other biomarkers to guide future personalized nutritional interventions.
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Affiliation(s)
- Hussein N Yassine
- Department of Medicine, Keck School of Medicine, University of Southern, California, Los Angeles, California, USA
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Wade Self
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Bilal E Kerman
- Department of Medicine, Keck School of Medicine, University of Southern, California, Los Angeles, California, USA
| | - Giulia Santoni
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne (EPFL), Lausanne, Switzerland
| | - NandaKumar Navalpur Shanmugam
- Department of Neurology, Genetics and Aging Research Unit, McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | | | - Lesley R Golden
- Department of Physiology, University of Kentucky, Lexington, Kentucky, USA
| | - Alfred N Fonteh
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
- Huntington Medical Research Institutes, Pasadena, California, USA
| | - Michael G Harrington
- Department of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Johannes Gräff
- Laboratory of Neuroepigenetics, Brain Mind Institute, School of Life Sciences, Ecole Polytechnique Fédérale Lausanne (EPFL), Lausanne, Switzerland
| | - Gary E Gibson
- Brain and Mind Research Institute, Weill Cornell Medicine, Burke Neurological Institute, White Plains, New York, USA
| | - Raj Kalaria
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Jose A Luchsinger
- Department of Medicine and Epidemiology, Columbia University Irving Medical Center, New York City, New York, USA
| | - Howard H Feldman
- Department of Neurosciences, University of California, San Diego, California, USA
| | - Russell H Swerdlow
- Department of Neurology, University of Kansas School of Medicine, Kansas City, Kansas, USA
| | - Lance A Johnson
- Department of Physiology, University of Kentucky, Lexington, Kentucky, USA
| | - Benedict C Albensi
- Nova Southeastern Univ. College of Pharmacy, Davie, Florida, USA
- Division of Neurodegenerative Disorders, St. Boniface Hospital Albrechtsen Research Centre, Winnipeg, Manitoba, Canada
| | - Berislav V Zlokovic
- Department of Physiology and Neuroscience, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Rudolph Tanzi
- Department of Neurology, Genetics and Aging Research Unit, McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Stephen Cunnane
- Department of Medicine, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Cécilia Samieri
- Univ. Bordeaux, INSERM, BPH, U1219, F-33000, Bordeaux, France
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, National and Kapodistrian University of Athens Medical School, Athens, Greece
- Department of Neurology, Columbia University, New York City, New York, USA
| | - Gene L Bowman
- Department of Neurology, Genetics and Aging Research Unit, McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Helfgott Research Institute, National University of Natural Medicine, Portland, Oregon, USA
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