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Odenkirk MT, Zheng X, Kyle JE, Stratton KG, Nicora CD, Bloodsworth KJ, Mclean CA, Masters CL, Monroe ME, Doecke JD, Smith RD, Burnum-Johnson KE, Roberts BR, Baker ES. Deciphering ApoE Genotype-Driven Proteomic and Lipidomic Alterations in Alzheimer's Disease Across Distinct Brain Regions. J Proteome Res 2024; 23:2970-2985. [PMID: 38236019 PMCID: PMC11255128 DOI: 10.1021/acs.jproteome.3c00604] [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: 01/19/2024]
Abstract
Alzheimer's disease (AD) is a neurodegenerative disease with a complex etiology influenced by confounding factors such as genetic polymorphisms, age, sex, and race. Traditionally, AD research has not prioritized these influences, resulting in dramatically skewed cohorts such as three times the number of Apolipoprotein E (APOE) ε4-allele carriers in AD relative to healthy cohorts. Thus, the resulting molecular changes in AD have previously been complicated by the influence of apolipoprotein E disparities. To explore how apolipoprotein E polymorphism influences AD progression, 62 post-mortem patients consisting of 33 AD and 29 controls (Ctrl) were studied to balance the number of ε4-allele carriers and facilitate a molecular comparison of the apolipoprotein E genotype. Lipid and protein perturbations were assessed across AD diagnosed brains compared to Ctrl brains, ε4 allele carriers (APOE4+ for those carrying 1 or 2 ε4s and APOE4- for non-ε4 carriers), and differences in ε3ε3 and ε3ε4 Ctrl brains across two brain regions (frontal cortex (FCX) and cerebellum (CBM)). The region-specific influences of apolipoprotein E on AD mechanisms showcased mitochondrial dysfunction and cell proteostasis at the core of AD pathophysiology in the post-mortem brains, indicating these two processes may be influenced by genotypic differences and brain morphology.
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Affiliation(s)
- Melanie T Odenkirk
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27606, United States of America
| | - Xueyun Zheng
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Jennifer E Kyle
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Kelly G Stratton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Carrie D Nicora
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Kent J Bloodsworth
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Catriona A Mclean
- Anatomical Pathology, Alfred Hospital, Prahran, Victoria 3181, Australia
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Colin L Masters
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria 3010, Australia
| | - Matthew E Monroe
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - James D Doecke
- CSIRO Health and Biosecurity, Herston, Queensland 4029, Australia
| | - Richard D Smith
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Kristin E Burnum-Johnson
- Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington 99354, United States of America
| | - Blaine R Roberts
- Department of Biochemistry, Emory University, Atlanta, Georgia 30322, United States of America
- Department of Neurology, Emory University, Atlanta, Georgia 30322, United States of America
| | - Erin S Baker
- Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, United States of America
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Tong B, Ba Y, Li Z, Yang C, Su K, Qi H, Zhang D, Liu X, Wu Y, Chen Y, Ling J, Zhang J, Yin X, Yu P. Targeting dysregulated lipid metabolism for the treatment of Alzheimer's disease and Parkinson's disease: Current advancements and future prospects. Neurobiol Dis 2024; 196:106505. [PMID: 38642715 DOI: 10.1016/j.nbd.2024.106505] [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: 01/28/2024] [Revised: 03/02/2024] [Accepted: 04/14/2024] [Indexed: 04/22/2024] Open
Abstract
Alzheimer's and Parkinson's diseases are two of the most frequent neurological diseases. The clinical features of AD are memory decline and cognitive dysfunction, while PD mainly manifests as motor dysfunction such as limb tremors, muscle rigidity abnormalities, and slow gait. Abnormalities in cholesterol, sphingolipid, and glycerophospholipid metabolism have been demonstrated to directly exacerbate the progression of AD by stimulating Aβ deposition and tau protein tangles. Indirectly, abnormal lipids can increase the burden on brain vasculature, induce insulin resistance, and affect the structure of neuronal cell membranes. Abnormal lipid metabolism leads to PD through inducing accumulation of α-syn, dysfunction of mitochondria and endoplasmic reticulum, and ferroptosis. Great progress has been made in targeting lipid metabolism abnormalities for the treatment of AD and PD in recent years, like metformin, insulin, peroxisome proliferator-activated receptors (PPARs) agonists, and monoclonal antibodies targeting apolipoprotein E (ApoE). This review comprehensively summarizes the involvement of dysregulated lipid metabolism in the pathogenesis of AD and PD, the application of Lipid Monitoring, and emerging lipid regulatory drug targets. A better understanding of the lipidological bases of AD and PD may pave the way for developing effective prevention and treatment methods for neurodegenerative disorders.
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Affiliation(s)
- Bin Tong
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China; School of Ophthalmology and Optometry of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Yaoqi Ba
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China; School of Ophthalmology and Optometry of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Zhengyang Li
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China; The First Clinical Medical College of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Caidi Yang
- The First Clinical Medical College of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Kangtai Su
- The First Clinical Medical College of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Haodong Qi
- The First Clinical Medical College of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Deju Zhang
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, China; Center for Clinical Precision Medicine, Jiujiang University, Jiujiang, China; Food and Nutritional Sciences, School of Biological Sciences, The University of Hong Kong, Pokfulam Road, Hong Kong, China
| | - Xiao Liu
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, China; Department of Cardiology, Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yuting Wu
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Yixuan Chen
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Jitao Ling
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China
| | - Jing Zhang
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, China; Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China.
| | - Xiaoping Yin
- Department of Neurology, Affiliated Hospital of Jiujiang University, Jiujiang, China; Center for Clinical Precision Medicine, Jiujiang University, Jiujiang, China.
| | - Peng Yu
- Department of Metabolism and Endocrinology, The Second Affiliated Hospital of Nanchang University, Jiangxi, Nanchang 330006, China.
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Ahmed H, Wang Y, Griffiths WJ, Levey AI, Pikuleva I, Liang SH, Haider A. Brain cholesterol and Alzheimer's disease: challenges and opportunities in probe and drug development. Brain 2024; 147:1622-1635. [PMID: 38301270 PMCID: PMC11068113 DOI: 10.1093/brain/awae028] [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: 03/04/2023] [Revised: 12/20/2023] [Accepted: 01/13/2024] [Indexed: 02/03/2024] Open
Abstract
Cholesterol homeostasis is impaired in Alzheimer's disease; however, attempts to modulate brain cholesterol biology have not translated into tangible clinical benefits for patients to date. Several recent milestone developments have substantially improved our understanding of how excess neuronal cholesterol contributes to the pathophysiology of Alzheimer's disease. Indeed, neuronal cholesterol was linked to the formation of amyloid-β and neurofibrillary tangles through molecular pathways that were recently delineated in mechanistic studies. Furthermore, remarkable advances in translational molecular imaging have now made it possible to probe cholesterol metabolism in the living human brain with PET, which is an important prerequisite for future clinical trials that target the brain cholesterol machinery in Alzheimer's disease patients-with the ultimate aim being to develop disease-modifying treatments. This work summarizes current concepts of how the biosynthesis, transport and clearance of brain cholesterol are affected in Alzheimer's disease. Further, current strategies to reverse these alterations by pharmacotherapy are critically discussed in the wake of emerging translational research tools that support the assessment of brain cholesterol biology not only in animal models but also in patients with Alzheimer's disease.
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Affiliation(s)
- Hazem Ahmed
- Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University, New Haven, CT 06510, USA
- Center for Radiopharmaceutical Sciences ETH-PSI-USZ, Institute of Pharmaceutical Sciences ETH, 8093 Zurich, Switzerland
| | - Yuqin Wang
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - William J Griffiths
- Institute of Life Science, Swansea University Medical School, Swansea SA2 8PP, UK
| | - Allan I Levey
- Department of Neurology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Irina Pikuleva
- Department of Ophthalmology and Visual Sciences, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Steven H Liang
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Ahmed Haider
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA 30322, USA
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Department of Nuclear Medicine, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
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Krokidis MG, Pucha KA, Mustapic M, Exarchos TP, Vlamos P, Kapogiannis D. Lipidomic Analysis of Plasma Extracellular Vesicles Derived from Alzheimer's Disease Patients. Cells 2024; 13:702. [PMID: 38667317 PMCID: PMC11049154 DOI: 10.3390/cells13080702] [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: 02/16/2024] [Revised: 03/31/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024] Open
Abstract
Analysis of blood-based indicators of brain health could provide an understanding of early disease mechanisms and pinpoint possible intervention strategies. By examining lipid profiles in extracellular vesicles (EVs), secreted particles from all cells, including astrocytes and neurons, and circulating in clinical samples, important insights regarding the brain's composition can be gained. Herein, a targeted lipidomic analysis was carried out in EVs derived from plasma samples after removal of lipoproteins from individuals with Alzheimer's disease (AD) and healthy controls. Differences were observed for selected lipid species of glycerolipids (GLs), glycerophospholipids (GPLs), lysophospholipids (LPLs) and sphingolipids (SLs) across three distinct EV subpopulations (all-cell origin, derived by immunocapture of CD9, CD81 and CD63; neuronal origin, derived by immunocapture of L1CAM; and astrocytic origin, derived by immunocapture of GLAST). The findings provide new insights into the lipid composition of EVs isolated from plasma samples regarding specific lipid families (MG, DG, Cer, PA, PC, PE, PI, LPI, LPE, LPC), as well as differences between AD and control individuals. This study emphasizes the crucial role of plasma EV lipidomics analysis as a comprehensive approach for identifying biomarkers and biological targets in AD and related disorders, facilitating early diagnosis and potentially informing novel interventions.
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Affiliation(s)
- Marios G. Krokidis
- Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece; (M.G.K.); (T.P.E.); (P.V.)
| | - Krishna A. Pucha
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA; (K.A.P.); (M.M.)
| | - Maja Mustapic
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA; (K.A.P.); (M.M.)
| | - Themis P. Exarchos
- Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece; (M.G.K.); (T.P.E.); (P.V.)
| | - Panagiotis Vlamos
- Laboratory of Bioinformatics and Human Electrophysiology, Department of Informatics, Ionian University, 49100 Corfu, Greece; (M.G.K.); (T.P.E.); (P.V.)
| | - Dimitrios Kapogiannis
- Laboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health (NIA/NIH), Baltimore, MD 21224, USA; (K.A.P.); (M.M.)
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Chouchane O, Schuurman AR, Reijnders TDY, Peters-Sengers H, Butler JM, Uhel F, Schultz MJ, Bonten MJ, Cremer OL, Calfee CS, Matthay MA, Langley RJ, Alipanah-Lechner N, Kingsmore SF, Rogers A, van Weeghel M, Vaz FM, van der Poll T. The Plasma Lipidomic Landscape in Patients with Sepsis due to Community-acquired Pneumonia. Am J Respir Crit Care Med 2024; 209:973-986. [PMID: 38240721 DOI: 10.1164/rccm.202308-1321oc] [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: 08/01/2023] [Accepted: 01/18/2024] [Indexed: 04/16/2024] Open
Abstract
Rationale: The plasma lipidome has the potential to reflect many facets of the host status during severe infection. Previous work is limited to specific lipid groups or was focused on lipids as prognosticators.Objectives: To map the plasma lipidome during sepsis due to community-acquired pneumonia (CAP) and determine the disease specificity and associations with clinical features.Methods: We analyzed 1,833 lipid species across 33 classes in 169 patients admitted to the ICU with sepsis due to CAP, 51 noninfected ICU patients, and 48 outpatient controls. In a paired analysis, we reanalyzed patients still in the ICU 4 days after admission (n = 82).Measurements and Main Results: A total of 58% of plasma lipids were significantly lower in patients with CAP-attributable sepsis compared with outpatient controls (6% higher, 36% not different). We found strong lipid class-specific associations with disease severity, validated across two external cohorts, and inflammatory biomarkers, in which triacylglycerols, cholesterol esters, and lysophospholipids exhibited the strongest associations. A total of 36% of lipids increased over time, and stratification by survival revealed diverging lipid recovery, which was confirmed in an external cohort; specifically, a 10% increase in cholesterol ester levels was related to a lower odds ratio (0.84; P = 0.006) for 30-day mortality (absolute mortality, 18 of 82). Comparison with noninfected ICU patients delineated a substantial common illness response (57.5%) and a distinct lipidomic signal for patients with CAP-attributable sepsis (37%).Conclusions: Patients with sepsis due to CAP exhibit a time-dependent and partially disease-specific shift in their plasma lipidome that correlates with disease severity and systemic inflammation and is associated with higher mortality.
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Affiliation(s)
| | | | | | | | | | - Fabrice Uhel
- Institut National de la Santé et de la Recherche Médicale Unité Mixte de Recherche S1151, Centre National de la Recherche Scientifique Unité Mixte de Recherche S8253, Institut Necker-Enfants Malades, Université Paris Cité, Paris, France
- Médecine Intensive Réanimation, Assistance Publique-Hôpitaux de Paris, Hôpital Louis Mourier, DMU ESPRIT, Colombes, France
| | - Marcus J Schultz
- Department of Intensive Care Medicine
- Laboratory of Experimental Intensive Care and Anesthesiology
- Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand
| | - Marc J Bonten
- Department of Medical Microbiology
- Julius Center for Health Sciences and Primary Care, and
| | - Olaf L Cremer
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Carolyn S Calfee
- Departments of Medicine and Anesthesia, Cardiovascular Research Institute, University of California, San Francisco, California
| | - Michael A Matthay
- Departments of Medicine and Anesthesia, Cardiovascular Research Institute, University of California, San Francisco, California
| | - Raymond J Langley
- Department of Pharmacology, University of South Alabama College of Medicine, Mobile, Alabama
| | | | - Stephen F Kingsmore
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, California
| | - Angela Rogers
- Division of Pulmonary and Critical Care, Department of Medicine, Stanford, California; and
| | - Michel van Weeghel
- Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital
- Core Facility Metabolomics, and
- Inborn Errors of Metabolism Program, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers-Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Frédéric M Vaz
- Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital
- Core Facility Metabolomics, and
- Inborn Errors of Metabolism Program, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam University Medical Centers-Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Tom van der Poll
- Center for Experimental and Molecular Medicine
- Division of Infectious Diseases
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Zhu H, Lu R, Zhou Q, Du Z, Jiang Y. Relationship Between Sphingomyelin and Risk of Alzheimer's Disease: A Bidirectional Mendelian Randomization Study. J Alzheimers Dis Rep 2023; 7:1289-1297. [PMID: 38143776 PMCID: PMC10741972 DOI: 10.3233/adr-230126] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/01/2023] [Indexed: 12/26/2023] Open
Abstract
Background Alzheimer's disease (AD) is a complex neurodegenerative disorder whose etiology involves multiple genetic and environmental factors. Sphingomyelin (SM) is a type of sphingolipid found in cell membranes, and recent evidence suggests a potential link between SM and AD. However, the nature of this relationship remains unclear. Objective To elucidate the potential causal relationship between SM levels and the risk of developing AD using a two-sample Mendelian randomization approach. Methods The study utilized data extracted from the genome wide association study database. The primary analysis method was the inverse variance weighted (IVW) method, which was supplemented by weighted median, weighted mode, and MR Egger methods. The study specifically investigated the bidirectional causal relationship between SM and AD, evaluating odds ratios (OR) with a 95% confidence interval (95% CI). Results Elevated levels of SM were found to be a risk factor for AD, as shown by IVW(MRE) [OR: 1.001, 95% CI: 1.000 to 1.002; p = 0.020 < 0.05], IVW(FE) [OR: 1.001, 95% CI: 1.001 to 1.002; p = 3.36e-07 < 0.05], and MR Egger. Conversely, AD was demonstrated to lead to an increase in SM levels [IVW(MRE): OR: 5.64e+08, 95% CI: 1.69e+05 to 1.89e+12; p = 1.14e-06 < 0.05], with consistent findings across the IVW(FE), MR Egger, weighted median, and weighted mode methods. Conclusions The study establishes a bidirectional positive correlation between SM and AD. Increased SM levels are associated with a higher risk of developing AD, and the presence of AD can further elevate SM levels, potentially exacerbating the disease's progression.
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Affiliation(s)
- Haohao Zhu
- Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Rongrong Lu
- Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Qin Zhou
- Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Zhiqiang Du
- Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China
| | - Ying Jiang
- Mental Health Center of Jiangnan University, Wuxi Central Rehabilitation Hospital, Wuxi, Jiangsu, China
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Patterson KL, Arul AB, Choi MJ, Oliver NC, Whitaker MD, Bodrick AC, Libby JB, Hansen S, Dumitrescu L, Gifford KA, Jefferson AL, Hohman TJ, Robinson RAS. Establishing Quality Control Procedures for Large-Scale Plasma Proteomics Analyses. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37163770 DOI: 10.1021/jasms.3c00050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Proteomics research has been transformed due to high-throughput liquid chromatography (LC-MS/MS) tandem mass spectrometry instruments combined with highly sophisticated automated sample preparation and multiplexing workflows. However, scaling proteomics experiments to large sample cohorts (hundreds to thousands) requires thoughtful quality control (QC) protocols. Robust QC protocols can help with reproducibility, quantitative accuracy, and provide opportunities for more decisive troubleshooting. Our laboratory conducted a plasma proteomics study of a cohort of N = 335 patient samples using tandem mass tag (TMTpro) 16-plex batches. Over the course of a 10-month data acquisition period for this cohort we collected 271 pooled QC LC-MS/MS result files obtained from MS/MS analysis of a patient-derived pooled plasma sample, representative of the entire cohort population. This sample was tagged with TMTzero or TMTpro reagents and used to inform the daily performance of the LC-MS/MS instruments and to allow within and across sample batch normalization. Analytical variability of a number of instrumental and data analysis metrics including protein and peptide identifications, peptide spectral matches (PSMs), number of obtained MS/MS spectra, average peptide abundance, percent of peptides with a Δ m/z between ±0.003 Da, percent of MS/MS spectra obtained at the maximum injection time, and the retention time of selected tracking peptides were evaluated to help inform the design of a robust LC-MS/MS QC workflow for use in future cohort studies. This study also led to general tips for using selected metrics to inform real-time troubleshooting of LC-MS/MS performance issues with daily QC checks.
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Affiliation(s)
- Khiry L Patterson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Albert B Arul
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Min Ji Choi
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Nekesa C Oliver
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Marsalas D Whitaker
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
| | - Angel C Bodrick
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Cancer Biology, Neuroscience, and Pharmacology, Meharry Medical College, Nashville, Tennessee 37208, United States
| | - Julia B Libby
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Shania Hansen
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Logan Dumitrescu
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Katherine A Gifford
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
| | - Angela L Jefferson
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Vanderbilt University Medical Center, Nashville, Tennessee 37212, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Renã A S Robinson
- Department of Chemistry, Vanderbilt University, Nashville, Tennessee 37235, United States
- Vanderbilt Institute of Chemical Biology, Vanderbilt University, Nashville, Tennessee 37232, United States
- Vanderbilt Brain Institute, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
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8
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Yin C, Harms AC, Hankemeier T, Kindt A, de Lange ECM. Status of Metabolomic Measurement for Insights in Alzheimer's Disease Progression-What Is Missing? Int J Mol Sci 2023; 24:ijms24054960. [PMID: 36902391 PMCID: PMC10003384 DOI: 10.3390/ijms24054960] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/24/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Alzheimer's disease (AD) is an aging-related neurodegenerative disease, leading to the progressive loss of memory and other cognitive functions. As there is still no cure for AD, the growth in the number of susceptible individuals represents a major emerging threat to public health. Currently, the pathogenesis and etiology of AD remain poorly understood, while no efficient treatments are available to slow down the degenerative effects of AD. Metabolomics allows the study of biochemical alterations in pathological processes which may be involved in AD progression and to discover new therapeutic targets. In this review, we summarized and analyzed the results from studies on metabolomics analysis performed in biological samples of AD subjects and AD animal models. Then this information was analyzed by using MetaboAnalyst to find the disturbed pathways among different sample types in human and animal models at different disease stages. We discuss the underlying biochemical mechanisms involved, and the extent to which they could impact the specific hallmarks of AD. Then we identify gaps and challenges and provide recommendations for future metabolomics approaches to better understand AD pathogenesis.
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Affiliation(s)
- Chunyuan Yin
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
| | - Amy C. Harms
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
| | - Alida Kindt
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
| | - Elizabeth C. M. de Lange
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, 2333 CC Leiden, The Netherlands
- Correspondence:
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9
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Aerqin Q, Wang ZT, Wu KM, He XY, Dong Q, Yu JT. Omics-based biomarkers discovery for Alzheimer's disease. Cell Mol Life Sci 2022; 79:585. [PMID: 36348101 DOI: 10.1007/s00018-022-04614-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 10/22/2022] [Accepted: 10/26/2022] [Indexed: 11/09/2022]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorders presenting with the pathological hallmarks of amyloid plaques and tau tangles. Over the past few years, great efforts have been made to explore reliable biomarkers of AD. High-throughput omics are a technology driven by multiple levels of unbiased data to detect the complex etiology of AD, and it provides us with new opportunities to better understand the pathophysiology of AD and thereby identify potential biomarkers. Through revealing the interaction networks between different molecular levels, the ultimate goal of multi-omics is to improve the diagnosis and treatment of AD. In this review, based on the current AD pathology and the current status of AD diagnostic biomarkers, we summarize how genomics, transcriptomics, proteomics and metabolomics are all conducing to the discovery of reliable AD biomarkers that could be developed and used in clinical AD management.
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Affiliation(s)
- Qiaolifan Aerqin
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Zuo-Teng Wang
- Department of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Kai-Min Wu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Xiao-Yu He
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Qiang Dong
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China
| | - Jin-Tai Yu
- Department of Neurology and Institute of Neurology, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
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