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Hirschbeck SS, Lindberg ET, Jang JH, Jacob MR, Lazar Cantrell KL, Do TD. Investigating a Novel Neurodegenerative Disease Toxic Mechanism Involving Lipid Binding Specificity of Amyloid Oligomers. ACS Chem Neurosci 2024; 15:1523-1532. [PMID: 38488720 DOI: 10.1021/acschemneuro.3c00830] [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] [Indexed: 04/04/2024] Open
Abstract
Exploring the mechanisms underlying the toxicity of amyloid oligomers (AOs) presents a significant opportunity for discovering cures and developing treatments for neurodegenerative diseases. Recently, using a combination of ion mobility spectrometry-mass spectrometry (IMS-MS) and X-ray crystallography (XRC), we showed that the peptide KVKVLWDVIEV, which is the G95W mutant of αB-Crystallin (90-100) and abbreviated as G6W, self-assembles up to a dodecamer that structurally resembles lipid transport proteins. The glycine to tryptophan mutation promotes not only larger oligomers and enhanced cytotoxicity in brain slices than the wild type but also a narrow hydrophobic cavity suitable for fatty acid or phospholipid binding. Here, we determine the plausibility of a novel cytotoxic mechanism where the G6W's structural motif could perturb lipid homeostasis by determining its lipid binding selectivity and specificity. We show that the G6W oligomers have a strong affinity toward unsaturated phospholipids with a preference toward phospholipids containing 16-C alkyl chains. Molecular dynamics simulations demonstrate how an unsaturated, 16-C phospholipid fits tightly inside and outside G6W's hydrophobic cavity. This binding is exclusive to the G6W peptide, as other amyloid oligomers with different atomic structures, including its wildtype αB-Crystallin (90-100) and several superoxide dismutase 1 (SOD1) peptides that are known to self-assemble into amyloid oligomers (SOD1P28K and SOD1WG-GW), do not experience the same strong binding affinity. While the existing chaperone-lipid hypothesis on amyloid toxicity suggests amyloid-lipid complexes perforate cell membranes, our work provides a new outlook, indicating that soluble amyloid oligomers disrupt lipid homeostasis via selective protein-ligand interactions. The toxic mechanisms may arise from the formation of unique amyloid oligomer structures assisted by lipid ligands or impaired lipid transports.
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Affiliation(s)
- Sarah S Hirschbeck
- Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States
| | - Edward T Lindberg
- Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States
| | - Joshua H Jang
- Department of Chemistry, Westmont College, Santa Barbara, California 93108, United States
| | - MaKenna R Jacob
- Department of Chemistry, Westmont College, Santa Barbara, California 93108, United States
| | | | - Thanh D Do
- Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996, United States
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2
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McGill CJ, Christensen A, Qian W, Thorwald MA, Lugo JG, Namvari S, White OS, Finch CE, Benayoun BA, Pike CJ. Protection against APOE4 -associated aging phenotypes with the longevity-promoting intervention 17α-estradiol in male mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.12.584678. [PMID: 38559059 PMCID: PMC10980056 DOI: 10.1101/2024.03.12.584678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
The apolipoprotein ε4 allele ( APOE4 ) is associated with decreased longevity, increased vulnerability to age-related declines, and disorders across multiple systems. Interventions that promote healthspan and lifespan represent a promising strategy to attenuate the development of APOE4 -associated aging phenotypes. Here we studied the ability of the longevity-promoting intervention 17α-estradiol (17αE2) to protect against age-related impairments in APOE4 versus the predominant APOE3 genotype using early middle-aged mice with knock-in of human APOE alleles. Beginning at age 10 months, male APOE3 or APOE4 mice were treated for 20 weeks with 17αE2 or vehicle then compared for indices of aging phenotypes body-wide. Across peripheral and neural measures, APOE4 was associated with poorer outcomes. Notably, 17αE2 treatment improved outcomes in a genotype-dependent manner favoring APOE4 mice. These data demonstrate a positive APOE4 bias in 17αE2-mediated healthspan actions, suggesting that longevity-promoting interventions may be useful in mitigating deleterious age-related risks associated with APOE4 genotype.
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Ortlund E, Chen CY, Maner-Smith K, Khadka M, Ahn J, Gulbin X, Ivanova A, Dammer E, Seyfried N, Bennett D, Hajjar I. Integrative brain omics approach reveals key role for sn-1 lysophosphatidylethanolamine in Alzheimer's dementia. RESEARCH SQUARE 2024:rs.3.rs-3973736. [PMID: 38464293 PMCID: PMC10925467 DOI: 10.21203/rs.3.rs-3973736/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
The biology of individual lipid species and their relevance in Alzheimer's disease (AD) remains incompletely understood. We utilized non-targeted mass spectrometry to examine brain lipids variations across 316 post-mortem brains from participants in the Religious Orders Study (ROS) or Rush Memory and Aging Project (MAP) cohorts classified as either control, asymptomatic AD (AAD), or symptomatic AD (SAD) and integrated the lipidomics data with untargeted proteomic characterization on the same individuals. Lipid enrichment analysis and analysis of variance identified significantly lower abundance of lysophosphatidylethanolamine (LPE) and lysophosphatidylcholine (LPC) species in SAD than controls or AAD. Lipid-protein co-expression network analyses revealed that lipid modules consisting of LPE and LPC exhibited a significant association to protein modules associated with MAPK/metabolism, post-synaptic density, and Cell-ECM interaction pathways and were associated with better antemortem cognition and with neuropathological changes seen in AD. Particularly, LPE 22:6 [sn-1] levels are significantly decreased across AD cases (SAD) and show the most influence on protein changes compared to other lysophospholipid species. LPE 22:6 may be a lipid signature for AD and could be leveraged as potential therapeutic or dietary targets for AD.
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Sigurjónsson S, Haraldsson GG. Asymmetric Synthesis of Methoxylated Ether Lipids: Total Synthesis of Polyunsaturated C18:3 Omega-3 and Omega-6 MEL Triene Derivatives. Molecules 2023; 29:223. [PMID: 38202806 PMCID: PMC10780507 DOI: 10.3390/molecules29010223] [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: 12/11/2023] [Revised: 12/24/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
The asymmetric synthesis of polyunsaturated triene C18:3 n-3 and C18:3 n-6 methoxylated ether lipids (MEL) of the 1-O-alkyl-sn-glycerol type is described as possible structural candidates for a triene C18:3 MEL of an unknown identity found in a mixture of shark and dogfish liver oil. Their C18:3 hydrocarbon chains constitute an all-cis methylene skipped n-3 or n-6 triene framework, along with a methoxyl group at the 2'-position and R-configuration of the resulting stereogenic center. The methoxylated polyenes are attached by an ether linkage to the pro-S hydroxymethyl group of the glycerol backbone. The syntheses were based on the polyacetylene approach that involves a semi-hydrogenation of the resulting triynes. Both syntheses were started from our previously described enantio- and diastereomerically pure isopropylidene-protected glyceryl glycidyl ether, a double-C3 building block that was designed as a head group synthon for the synthesis of various types of MELs.
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Affiliation(s)
| | - Gudmundur G. Haraldsson
- Chemistry Department, Science Institute, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland;
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Montine KS, Berson E, Phongpreecha T, Huang Z, Aghaeepour N, Zou JY, MacCoss MJ, Montine TJ. Understanding the molecular basis of resilience to Alzheimer's disease. Front Neurosci 2023; 17:1311157. [PMID: 38192507 PMCID: PMC10773681 DOI: 10.3389/fnins.2023.1311157] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 12/04/2023] [Indexed: 01/10/2024] Open
Abstract
The cellular and molecular distinction between brain aging and neurodegenerative disease begins to blur in the oldest old. Approximately 15-25% of observations in humans do not fit predicted clinical manifestations, likely the result of suppressed damage despite usually adequate stressors and of resilience, the suppression of neurological dysfunction despite usually adequate degeneration. Factors during life may predict the clinico-pathologic state of resilience: cardiovascular health and mental health, more so than educational attainment, are predictive of a continuous measure of resilience to Alzheimer's disease (AD) and AD-related dementias (ADRDs). In resilience to AD alone (RAD), core features include synaptic and axonal processes, especially in the hippocampus. Future focus on larger and more diverse cohorts and additional regions offer emerging opportunities to understand this counterforce to neurodegeneration. The focus of this review is the molecular basis of resilience to AD.
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Affiliation(s)
| | - Eloïse Berson
- Department of Pathology, Stanford University, Stanford, CA, United States
- Department of Anesthesiology, Stanford University, Stanford, CA, United States
| | - Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, United States
- Department of Anesthesiology, Stanford University, Stanford, CA, United States
| | - Zhi Huang
- Department of Pathology, Stanford University, Stanford, CA, United States
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - Nima Aghaeepour
- Department of Anesthesiology, Stanford University, Stanford, CA, United States
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
| | - James Y. Zou
- Department of Biomedical Data Science, Stanford University, Stanford, CA, United States
- Department of Computer Science, Stanford University, Stanford, CA, United States
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, Seattle, WA, United States
| | - Thomas J. Montine
- Department of Pathology, Stanford University, Stanford, CA, United States
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Phongpreecha T, Godrich D, Berson E, Espinosa C, Kim Y, Cholerton B, Chang AL, Mataraso S, Bukhari SA, Perna A, Yakabi K, Montine KS, Poston KL, Mormino E, White L, Beecham G, Aghaeepour N, Montine TJ. Quantitative estimate of cognitive resilience and its medical and genetic associations. Alzheimers Res Ther 2023; 15:192. [PMID: 37926851 PMCID: PMC10626669 DOI: 10.1186/s13195-023-01329-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND We have proposed that cognitive resilience (CR) counteracts brain damage from Alzheimer's disease (AD) or AD-related dementias such that older individuals who harbor neurodegenerative disease burden sufficient to cause dementia remain cognitively normal. However, CR traditionally is considered a binary trait, capturing only the most extreme examples, and is often inconsistently defined. METHODS This study addressed existing discrepancies and shortcomings of the current CR definition by proposing a framework for defining CR as a continuous variable for each neuropsychological test. The linear equations clarified CR's relationship to closely related terms, including cognitive function, reserve, compensation, and damage. Primarily, resilience is defined as a function of cognitive performance and damage from neuropathologic damage. As such, the study utilized data from 844 individuals (age = 79 ± 12, 44% female) in the National Alzheimer's Coordinating Center cohort that met our inclusion criteria of comprehensive lesion rankings for 17 neuropathologic features and complete neuropsychological test results. Machine learning models and GWAS then were used to identify medical and genetic factors that are associated with CR. RESULTS CR varied across five cognitive assessments and was greater in female participants, associated with longer survival, and weakly associated with educational attainment or APOE ε4 allele. In contrast, damage was strongly associated with APOE ε4 allele (P value < 0.0001). Major predictors of CR were cardiovascular health and social interactions, as well as the absence of behavioral symptoms. CONCLUSIONS Our framework explicitly decoupled the effects of CR from neuropathologic damage. Characterizations and genetic association study of these two components suggest that the underlying CR mechanism has minimal overlap with the disease mechanism. Moreover, the identified medical features associated with CR suggest modifiable features to counteract clinical expression of damage and maintain cognitive function in older individuals.
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Affiliation(s)
- Thanaphong Phongpreecha
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
| | - Dana Godrich
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Eloise Berson
- Department of Pathology, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Camilo Espinosa
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Yeasul Kim
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | | | - Alan L Chang
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Samson Mataraso
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Syed A Bukhari
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Amalia Perna
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Koya Yakabi
- Department of Pathology, Stanford University, Stanford, CA, USA
| | | | - Kathleen L Poston
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Department of Neurology Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lon White
- Pacific Health Research and Education Institute, Honolulu, HI, USA
| | - Gary Beecham
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative, and Pain Medicine, Stanford University, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University, 300 Pasteur Dr Rm L216, Stanford, CA, 94305, USA
- Department of Pediatrics, Stanford University, Stanford, CA, USA
| | - Thomas J Montine
- Department of Pathology, Stanford University, Stanford, CA, USA.
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Kim JP, Nho K, Wang T, Huynh K, Arnold M, Risacher SL, Bice PJ, Han X, Kristal BS, Blach C, Baillie R, Kastenmüller G, Meikle PJ, Saykin AJ, Kaddurah-Daouk R. Circulating lipid profiles are associated with cross-sectional and longitudinal changes of central biomarkers for Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.12.23291054. [PMID: 37398438 PMCID: PMC10312871 DOI: 10.1101/2023.06.12.23291054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Investigating the association of lipidome profiles with central Alzheimer's disease (AD) biomarkers, including amyloid/tau/neurodegeneration (A/T/N), can provide a holistic view between the lipidome and AD. We performed cross-sectional and longitudinal association analysis of serum lipidome profiles with AD biomarkers in the Alzheimer's Disease Neuroimaging Initiative cohort (N=1,395). We identified lipid species, classes, and network modules that were significantly associated with cross-sectional and longitudinal changes of A/T/N biomarkers for AD. Notably, we identified the lysoalkylphosphatidylcholine (LPC(O)) as associated with "A/N" biomarkers at baseline at lipid species, class, and module levels. Also, GM3 ganglioside showed significant association with baseline levels and longitudinal changes of the "N" biomarkers at species and class levels. Our study of circulating lipids and central AD biomarkers enabled identification of lipids that play potential roles in the cascade of AD pathogenesis. Our results suggest dysregulation of lipid metabolic pathways as precursors to AD development and progression.
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Affiliation(s)
- Jun Pyo Kim
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
- Department of Neurology, Samsung Medical Center, Seoul, Korea
| | - Kwangsik Nho
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
- Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - 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
| | - Shannon L Risacher
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Paula J Bice
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Xianlin Han
- University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Bruce S Kristal
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, and Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University, Durham, NC, USA
| | | | - Gabi Kastenmüller
- Institute of Computational Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Baker Department of Cardiometabolic Health, University of Melbourne, Victoria, Australia
- Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, Australia
| | - Andrew J Saykin
- Center for Neuroimaging, Radiology and Imaging Sciences, and the Indiana Alzheimer's Disease Research Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - 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
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8
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Sigurjónsson S, Lúthersson E, Gudmundsson HG, Haraldsdóttir H, Kristinsdóttir L, Haraldsson GG. Asymmetric Synthesis of Methoxylated Ether Lipids: A Glyceryl Glycidyl Ether Key Building Block Design, Preparation, and Synthetic Application. J Org Chem 2022; 87:12306-12314. [PMID: 36037531 DOI: 10.1021/acs.joc.2c01515] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The report describes the preparation and use of a double-C3 building block intended as a head group synthon in the synthesis of saturated, mono-, and polyunsaturated 1-O-alkyl-sn-glycerol type methoxylated ether lipids (MELs). The resulting head piece, an enantiopure isopropylidene-protected glyceryl glycidyl ether diastereomer, was accomplished in 49% yield (max 50%) from a 1:1 diastereomeric mixture obtained from R-solketal and racemic epichlorohydrin after treatment with the Jacobsen (S,S)-Co(III)salen catalyst for the hydrolytic kinetic resolution of terminal epoxides. The diol hydrolytic product obtained in 47% yield from the unwanted diastereomer was reconverted into epoxide with an inversion of configuration in a three-step operation involving a highly regioselective lipase. This enabled the recovery of a substantial amount of diastereopure material after a subsequent treatment with the Jacobsen catalyst to furnish the oxirane head piece in altogether 72% yield of higher than 99% diastereomeric purity. A modified synthesis of a monounsaturated 16:1 MEL confirmed the correct stereochemistry and excellent enantiopurity of the head piece and resulted in a dramatic improvement in yields, efficiency, and economy of the synthesis.
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Affiliation(s)
- Svanur Sigurjónsson
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
| | - Einar Lúthersson
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
| | - Haraldur G Gudmundsson
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
| | - Hafdís Haraldsdóttir
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
| | - Lilja Kristinsdóttir
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
| | - Gudmundur G Haraldsson
- Science Institute, Chemistry Department, University of Iceland, Dunhaga 3, 107 Reykjavik, Iceland
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9
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Sebastiani P, Song Z, Ellis D, Tian Q, Schwaiger-Haber M, Stancliffe E, Lustgarten MS, Funk CC, Baloni P, Yao CH, Joshi S, Marron MM, Gurinovich A, Li M, Leshchyk A, Xiang Q, Andersen SL, Feitosa MF, Ukraintseva S, Soerensen M, Fiehn O, Ordovas JM, Haigis M, Monti S, Barzilai N, Milman S, Ferrucci L, Rappaport N, Patti GJ, Perls TT. A metabolomic signature of the APOE2 allele. GeroScience 2022; 45:415-426. [PMID: 35997888 PMCID: PMC9886693 DOI: 10.1007/s11357-022-00646-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/15/2022] [Indexed: 02/03/2023] Open
Abstract
With the goal of identifying metabolites that significantly correlate with the protective e2 allele of the apolipoprotein E (APOE) gene, we established a consortium of five studies of healthy aging and extreme human longevity with 3545 participants. This consortium includes the New England Centenarian Study, the Baltimore Longitudinal Study of Aging, the Arivale study, the Longevity Genes Project/LonGenity studies, and the Long Life Family Study. We analyzed the association between APOE genotype groups E2 (e2e2 and e2e3 genotypes, N = 544), E3 (e3e3 genotypes, N = 2299), and E4 (e3e4 and e4e4 genotypes, N = 702) with metabolite profiles in the five studies and used fixed effect meta-analysis to aggregate the results. Our meta-analysis identified a signature of 19 metabolites that are significantly associated with the E2 genotype group at FDR < 10%. The group includes 10 glycerolipids and 4 glycerophospholipids that were all higher in E2 carriers compared to E3, with fold change ranging from 1.08 to 1.25. The organic acid 6-hydroxyindole sulfate, previously linked to changes in gut microbiome that were reflective of healthy aging and longevity, was also higher in E2 carriers compared to E3 carriers. Three sterol lipids and one sphingolipid species were significantly lower in carriers of the E2 genotype group. For some of these metabolites, the effect of the E2 genotype opposed the age effect. No metabolites reached a statistically significant association with the E4 group. This work confirms and expands previous results connecting the APOE gene to lipid regulation and suggests new links between the e2 allele, lipid metabolism, aging, and the gut-brain axis.
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Affiliation(s)
- Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA.
| | - Zeyuan Song
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Dylan Ellis
- Institute for Systems Biology, Seattle, WA, USA
| | - Qu Tian
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
| | - Michaela Schwaiger-Haber
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Ethan Stancliffe
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Michael S Lustgarten
- Nutrition, Exercise Physiology, and Sarcopenia Laboratory, Jean Mayer USDA Human Nutrition Research Center On Aging at Tufts University, Boston, MA, USA
| | - Cory C Funk
- Institute for Systems Biology, Seattle, WA, USA
| | | | - Cong-Hui Yao
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Shakchhi Joshi
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Megan M Marron
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anastasia Gurinovich
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street, Boston, MA, 02111, USA
| | - Mengze Li
- Bioinformatics Program, Boston University, Boston, MA, USA
| | | | - Qingyan Xiang
- Department of Biostatistics, Boston University, Boston, MA, USA
| | - Stacy L Andersen
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St Louis, MI, USA
| | - Svetlana Ukraintseva
- Biodemography of Aging Research Unit, Social Science Research, Duke University, Durham, NC, USA
| | - Mette Soerensen
- Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Jose M Ordovas
- Nutrition and Genomics Team, Jean Mayer USDA Human Nutrition Research Center On Aging and Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, Tufts University, Boston, MB, USA
| | - Marcia Haigis
- Department of Cell Biology at Harvard Medical School, Boston, MA, USA
| | - Stefano Monti
- Bioinformatics Program, Boston University, Boston, MA, USA
- Section of Computational Biomedicine, Boston University School of Medicine, Boston, MA, USA
| | - Nir Barzilai
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sofiya Milman
- Institute for Aging Research, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute On Aging, Baltimore, MD, USA
| | | | - Gary J Patti
- Department of Chemistry, Department of Medicine, Center for Metabolomics and Isotope Tracing, Washington University in St. Louis, St. Louis, USA
| | - Thomas T Perls
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
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10
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Bu G. APOE targeting strategy in Alzheimer's disease: lessons learned from protective variants. Mol Neurodegener 2022; 17:51. [PMID: 35922805 PMCID: PMC9351235 DOI: 10.1186/s13024-022-00556-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 12/02/2022] Open
Affiliation(s)
- Guojun Bu
- Molecular Neurodegeneration, Jacksonville, USA.
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11
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Mass Spectrometry-Based Analysis of Lipid Involvement in Alzheimer’s Disease Pathology—A Review. Metabolites 2022; 12:metabo12060510. [PMID: 35736443 PMCID: PMC9228715 DOI: 10.3390/metabo12060510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 01/27/2023] Open
Abstract
Irregularities in lipid metabolism have been linked to numerous neurodegenerative diseases. The roles of abnormal brain, plasma, and cerebrospinal fluid (CSF) lipid levels in Alzheimer’s disease (AD) onset and progression specifically have been described to a great extent in the literature. Apparent hallmarks of AD include, but are not limited to, genetic predisposition involving the APOE Ɛ4 allele, oxidative stress, and inflammation. A common culprit tied to many of these hallmarks is disruption in brain lipid homeostasis. Therefore, it is important to understand the roles of lipids, under normal and abnormal conditions, in each process. Lipid influences in processes such as inflammation and blood–brain barrier (BBB) disturbance have been primarily studied via biochemical-based methods. There is a need, however, for studies focused on uncovering the relationship between lipid irregularities and AD by molecular-based quantitative analysis in transgenic animal models and human samples alike. In this review, mass spectrometry as it has been used as an analytical tool to address the convoluted relationships mentioned above is discussed. Additionally, molecular-based mass spectrometry strategies that should be used going forward to further relate structure and function relationships of lipid irregularities and hallmark AD pathology are outlined.
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