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Chen J, Yu H, Liu H, Yu H, Liang S, Wu Q, Zhang X, Zeng R, Diao L. Causal relationship between immune cells and epilepsy mediated by metabolites analyzed through Mendelian randomization. Sci Rep 2024; 14:19644. [PMID: 39179617 PMCID: PMC11343848 DOI: 10.1038/s41598-024-70370-1] [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: 04/28/2024] [Accepted: 08/16/2024] [Indexed: 08/26/2024] Open
Abstract
Our study investigated the causal relationship between immune cells, metabolites, and epilepsy using two-sample Mendelian Randomization (MR) and mediation MR analysis of 731 immune cell traits and 1400 metabolites. Our core methodology centered on inverse-variance weighted MR, supplemented by other methods. This approach was crucial in clarifying the potential intermediary functions of metabolites in the genetic links between traits of immune cells and epilepsy. We found a causal relationship between immune cells and epilepsy. Specifically, the genetically predicted levels of CD64 on CD14-CD16- are positively correlated with the risk of epilepsy (p < 0.001, OR = 1.0826, 95% CI 1.0361-1.1312). Similarly, metabolites also exhibit a causal relationship with both immune cells (OR = 1.0438, 95% CI 1.0087-1.0801, p = 0.0140) and epilepsy (p = 0.0334, OR = 1.0897, 95% CI 1.0068-1.1795), and sensitivity analysis was conducted to further validate these relationships. Importantly, our intermediate MR results suggest that the metabolite Paraxanthine to linoleate (18:2n6) ratio may mediate the causal relationship between immune cell CD64 on CD14-CD16- and epilepsy, with a mediation effect of 5.05%. The results suggest the importance of specific immune cell levels and metabolites in understanding epilepsy's pathogenesis, which is significant for its prevention and treatment.
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Affiliation(s)
- Jiangwei Chen
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Haichun Yu
- Guangxi Technological College of Machinery and Electricity, Nanning, 530007, China
| | - Huihua Liu
- Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China
| | - Han Yu
- Harbin Medical University, Harbin, 150086, China
| | - Shuang Liang
- Nanning Traditional Chinese Medicine Hospital, Nanning, 530000, China
| | - Qiong Wu
- Xin Yang Central Hospital, Xinyang, 464000, China
| | - Xian Zhang
- Department of Neurology, Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China
| | - Rong Zeng
- Guangxi University of Chinese Medicine, Nanning, 530200, China
| | - Limei Diao
- Department of Neurology, Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, 545005, China.
- Department of Neurology, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, 530023, China.
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2
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Hachem M, Ahmmed MK, Nacir-Delord H. Phospholipidomics in Clinical Trials for Brain Disorders: Advancing our Understanding and Therapeutic Potentials. Mol Neurobiol 2024; 61:3272-3295. [PMID: 37981628 PMCID: PMC11087356 DOI: 10.1007/s12035-023-03793-y] [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: 05/19/2023] [Accepted: 10/31/2023] [Indexed: 11/21/2023]
Abstract
Phospholipidomics is a specialized branch of lipidomics that focuses on the characterization and quantification of phospholipids. By using sensitive analytical techniques, phospholipidomics enables researchers to better understand the metabolism and activities of phospholipids in brain disorders such as Alzheimer's and Parkinson's diseases. In the brain, identifying specific phospholipid biomarkers can offer valuable insights into the underlying molecular features and biochemistry of these diseases through a variety of sensitive analytical techniques. Phospholipidomics has emerged as a promising tool in clinical studies, with immense potential to advance our knowledge of neurological diseases and enhance diagnosis and treatment options for patients. In the present review paper, we discussed numerous applications of phospholipidomics tools in clinical studies, with a particular focus on the neurological field. By exploring phospholipids' functions in neurological diseases and the potential of phospholipidomics in clinical research, we provided valuable insights that could aid researchers and clinicians in harnessing the full prospective of this innovative practice and improve patient outcomes by providing more potent treatments for neurological diseases.
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Affiliation(s)
- Mayssa Hachem
- Department of Chemistry and Healthcare Engineering Innovation Center, Khalifa University of Sciences and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates.
| | - Mirja Kaizer Ahmmed
- Department of Fishing and Post-Harvest Technology, Chattogram Veterinary and Animal Sciences University, Chattogram, Bangladesh
- Riddet Institute, Massey University, Palmerston North, New Zealand
| | - Houda Nacir-Delord
- Department of Chemistry, Khalifa University of Sciences and Technology, P.O. Box 127788, Abu Dhabi, United Arab Emirates
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Hanin A, Chollet C, Demeret S, Di Meglio L, Castelli F, Navarro V. Metabolomic changes in adults with status epilepticus: A human case-control study. Epilepsia 2024; 65:929-943. [PMID: 38339978 DOI: 10.1111/epi.17899] [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: 10/26/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 02/12/2024]
Abstract
OBJECTIVE Status epilepticus (SE) is a life-threatening prolonged epileptic seizure that affects ~40 per 100 000 people yearly worldwide. The persistence of seizures may lead to excitotoxic processes, neuronal loss, and neuroinflammation, resulting in long-term neurocognitive and functional disabilities. A better understanding of the pathophysiological mechanisms underlying SE consequences is crucial for improving SE management and preventing secondary neuronal injury. METHODS We conducted a comprehensive untargeted metabolomic analysis, using liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS), on plasma and cerebrospinal fluid (CSF) samples from 78 adult patients with SE and 107 control patients without SE, including 29 with CSF for both groups. The metabolomic fingerprints were compared between patients with SE and controls. Metabolites with differences in relative abundances that could not be attributed to treatment or nutrition provided in the intensive care unit were isolated. Enrichment analysis was performed on these metabolites to identify the most affected pathways. RESULTS We identified 76 metabolites in the plasma and 37 in the CSF that exhibited differential expression in patients with SE compared to controls. The enrichment analysis revealed that metabolic dysregulations in patients with SE affected primarily amino acid metabolism (including glutamate, alanine, tryptophan, glycine, and serine metabolism), pyrimidine metabolism, and lipid homeostasis. Specifically, patients with SE had elevated levels of pyruvate, quinolinic acid, and keto butyric acid levels, along with lower levels of arginine, N-acetylaspartylglutamate (NAAG), tryptophan, uracil, and uridine. The tryptophan kynurenine pathway was identified as the most significantly altered in SE, resulting in the overproduction of quinolinic acid, an N-methyl-d-aspartate (NMDA) receptor agonist with pro-inflammatory properties. SIGNIFICANCE This study has identified several pathways that may play pivotal roles in SE consequences, such as the tryptophan kynurenine pathway. These findings offer novel perspectives for the development of neuroprotective therapeutics.
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Affiliation(s)
- Aurélie Hanin
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, Connecticut, USA
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, Paris, France
- AP-HP, Epilepsy Unit and Clinical Neurophysiology Department, DMU Neurosciences, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Céline Chollet
- Université Paris Saclay, CEA, INRAE, Médicaments et Technologies pour la Santé (MTS), MetaboHUB, Gif-sur-Yvette, France
| | - Sophie Demeret
- AP-HP, Neuro-Intensive Care Unit, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Lucas Di Meglio
- AP-HP, Neuro-Intensive Care Unit, Hôpital de la Pitié-Salpêtrière, Paris, France
| | - Florence Castelli
- Université Paris Saclay, CEA, INRAE, Médicaments et Technologies pour la Santé (MTS), MetaboHUB, Gif-sur-Yvette, France
| | - Vincent Navarro
- Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, Inserm, CNRS, APHP, Hôpital de la Pitié-Salpêtrière, Paris, France
- AP-HP, Epilepsy Unit and Clinical Neurophysiology Department, DMU Neurosciences, Hôpital de la Pitié-Salpêtrière, Paris, France
- Center of Reference for Rare Epilepsies, Epicare, Hôpital de la Pitié-Salpêtrière, Paris, France
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Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
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Epilepsy in Pediatric Patients—Evaluation of Brain Structures’ Volume Using VolBrain Software. J Clin Med 2022; 11:jcm11164657. [PMID: 36012894 PMCID: PMC9409991 DOI: 10.3390/jcm11164657] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/19/2022] [Accepted: 08/05/2022] [Indexed: 11/17/2022] Open
Abstract
Epilepsy is one of the most frequent serious brain disorders. Approximately 30,000 of the 150,000 children and adolescents who experience unprovoked seizures are diagnosed with epilepsy each year. Magnetic resonance imaging is the method of choice in diagnosing and monitoring patients with this condition. However, one very effective tool using MR images is volBrain software, which automatically generates information about the volume of brain structures. A total of 57 consecutive patients (study group) suffering from epilepsy and 34 healthy patients (control group) who underwent MR examination qualified for the study. Images were then evaluated by volBrain. Results showed atrophy of the brain and particular structures—GM, cerebrum, cerebellum, brainstem, putamen, thalamus, hippocampus and nucleus accumbens volume. Moreover, the statistically significant difference in the volume between the study and the control group was found for brain, lateral ventricle and putamen. A volumetric analysis of the CNS in children with epilepsy confirms a decrease in the volume of brain tissue. A volumetric assessment of brain structures based on MR data has the potential to be a useful diagnostic tool in children with epilepsy and can be implemented in clinical work; however, further studies are necessary to enhance the effectiveness of this software.
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Brister D, Werner BA, Gideon G, McCarty PJ, Lane A, Burrows BT, McLees S, Adelson PD, Arango JI, Marsh W, Flores A, Pankratz MT, Ly NH, Flood M, Brown D, Carpentieri D, Jin Y, Gu H, Frye RE. Central Nervous System Metabolism in Autism, Epilepsy and Developmental Delays: A Cerebrospinal Fluid Analysis. Metabolites 2022; 12:371. [PMID: 35629876 PMCID: PMC9148155 DOI: 10.3390/metabo12050371] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 04/10/2022] [Accepted: 04/12/2022] [Indexed: 12/14/2022] Open
Abstract
Neurodevelopmental disorders are associated with metabolic pathway imbalances; however, most metabolic measurements are made peripherally, leaving central metabolic disturbances under-investigated. Cerebrospinal fluid obtained intraoperatively from children with autism spectrum disorder (ASD, n = 34), developmental delays (DD, n = 20), and those without known DD/ASD (n = 34) was analyzed using large-scale targeted mass spectrometry. Eighteen also had epilepsy (EPI). Metabolites significantly related to ASD, DD and EPI were identified by linear models and entered into metabolite-metabolite network pathway analysis. Common disrupted pathways were analyzed for each group of interest. Central metabolites most involved in metabolic pathways were L-cysteine, adenine, and dodecanoic acid for ASD; nicotinamide adenine dinucleotide phosphate, L-aspartic acid, and glycine for EPI; and adenosine triphosphate, L-glutamine, ornithine, L-arginine, L-lysine, citrulline, and L-homoserine for DD. Amino acid and energy metabolism pathways were most disrupted in all disorders, but the source of the disruption was different for each disorder. Disruption in vitamin and one-carbon metabolism was associated with DD and EPI, lipid pathway disruption was associated with EPI and redox metabolism disruption was related to ASD. Two microbiome metabolites were also detected in the CSF: shikimic and cis-cis-muconic acid. Overall, this study provides increased insight into unique metabolic disruptions in distinct but overlapping neurodevelopmental disorders.
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Affiliation(s)
- Danielle Brister
- Barrett, The Honors College, Arizona State University, Tempe, AZ 85281, USA;
| | - Brianna A. Werner
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - Geoffrey Gideon
- Arizona College of Osteopathic Medicine, Midwestern University, Glendale, AZ 85308, USA;
| | - Patrick J. McCarty
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - Alison Lane
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - Brian T. Burrows
- Division of Neuroscience, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.T.B.); (P.D.A.); (J.I.A.); (N.H.L.); (D.B.)
| | - Sallie McLees
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - P. David Adelson
- Division of Neuroscience, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.T.B.); (P.D.A.); (J.I.A.); (N.H.L.); (D.B.)
| | - Jorge I. Arango
- Division of Neuroscience, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.T.B.); (P.D.A.); (J.I.A.); (N.H.L.); (D.B.)
| | | | - Angelea Flores
- Department of Pathology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (A.F.); (M.T.P.); (D.C.)
| | - Matthew T. Pankratz
- Department of Pathology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (A.F.); (M.T.P.); (D.C.)
| | - Ngoc Han Ly
- Division of Neuroscience, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.T.B.); (P.D.A.); (J.I.A.); (N.H.L.); (D.B.)
| | - Madison Flood
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
| | - Danni Brown
- Division of Neuroscience, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.T.B.); (P.D.A.); (J.I.A.); (N.H.L.); (D.B.)
| | - David Carpentieri
- Department of Pathology, Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (A.F.); (M.T.P.); (D.C.)
| | - Yan Jin
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA; (Y.J.); (H.G.)
| | - Haiwei Gu
- Center for Translational Science, Florida International University, Port St. Lucie, FL 34987, USA; (Y.J.); (H.G.)
| | - Richard E. Frye
- Section on Neurodevelopmental Disorders, Barrow Neurological Institute at Phoenix Children’s Hospital, Phoenix, AZ 85016, USA; (B.A.W.); (P.J.M.); (A.L.); (S.M.); (M.F.)
- Department of Child Health, University of Arizona College of Medicine-Phoenix, Phoenix, AZ 85004, USA
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Vesga-Jiménez DJ, Martin C, Barreto GE, Aristizábal-Pachón AF, Pinzón A, González J. Fatty Acids: An Insight into the Pathogenesis of Neurodegenerative Diseases and Therapeutic Potential. Int J Mol Sci 2022; 23:2577. [PMID: 35269720 PMCID: PMC8910658 DOI: 10.3390/ijms23052577] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 01/12/2022] [Accepted: 01/20/2022] [Indexed: 12/13/2022] Open
Abstract
One of the most common lipids in the human body is palmitic acid (PA), a saturated fatty acid with essential functions in brain cells. PA is used by cells as an energy source, besides being a precursor of signaling molecules and protein tilting across the membrane. Although PA plays physiological functions in the brain, its excessive accumulation leads to detrimental effects on brain cells, causing lipotoxicity. This mechanism involves the activation of toll-like receptors (TLR) and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) pathways, with the consequent release of pro-inflammatory cytokines, increased production of reactive oxygen species (ROS), endoplasmic reticulum (ER) stress, and autophagy impairment. Importantly, some of the cellular changes induced by PA lead to an augmented susceptibility to the development of Alzheimer's and Parkinson´s diseases. Considering the complexity of the response to PA and the intrinsic differences of the brain, in this review, we provide an overview of the molecular and cellular effects of PA on different brain cells and their possible relationships with neurodegenerative diseases (NDs). Furthermore, we propose the use of other fatty acids, such as oleic acid or linoleic acid, as potential therapeutic approaches against NDs, as these fatty acids can counteract PA's negative effects on cells.
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Affiliation(s)
- Diego Julián Vesga-Jiménez
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogota 110231, Colombia; (D.J.V.-J.); (A.F.A.-P.)
- Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Atlanta, GA 30329, USA;
| | - Cynthia Martin
- Division of Neuropharmacology and Neurologic Diseases, Yerkes National Primate Research Center, Atlanta, GA 30329, USA;
| | - George E. Barreto
- Department of Biological Sciences, University of Limerick, V94 T9PX Limerick, Ireland;
- Health Research Institute, University of Limerick, V94 T9PX Limerick, Ireland
| | - Andrés Felipe Aristizábal-Pachón
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogota 110231, Colombia; (D.J.V.-J.); (A.F.A.-P.)
| | - Andrés Pinzón
- Laboratorio de Bioinformática y Biología de Sistemas, Universidad Nacional de Colombia, Bogota 111321, Colombia;
| | - Janneth González
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogota 110231, Colombia; (D.J.V.-J.); (A.F.A.-P.)
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8
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Lai W, Du D, Chen L. Metabolomics Provides Novel Insights into Epilepsy Diagnosis and Treatment: A Review. Neurochem Res 2022; 47:844-859. [PMID: 35067830 DOI: 10.1007/s11064-021-03510-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/04/2021] [Accepted: 12/14/2021] [Indexed: 02/05/2023]
Abstract
Epilepsy is one of the most common diseases of the central nervous system. The diagnosis of epilepsy mainly depends on electroencephalograms and symptomatology, while diagnostic biofluid markers are still lacking. In addition, approximately 30% of patients with epilepsy (PWE) show a poor response to the currently available anti-seizure medicines. An increasing number of studies have reported alterations in the blood, brain tissue, cerebrospinal fluid and urine metabolome in PWE and animal models of epilepsy. The aim of this review was to identify potential metabolic biomarkers and pathways that might facilitate diagnostic, therapeutic and prognostic determination in PWE and the understanding of the pathogenesis of the disease. The PubMed and Embase databases were searched for metabolomic studies of PWE and epileptic models published before December 2020. The study objectives, types of models and reported differentially altered metabolites were examined and compared. Pathway analyses were performed using MetaboAnalyst 5.0 online software. Thirty-five studies were included in this review. Metabolites such as glutamate, lactate and citrate were disturbed in both PWE and epileptic models, which might be potential biomarkers of epilepsy. Metabolic pathways including alanine, aspartate and glutamate metabolism; glycine, serine and threonine metabolism; glycerophospholipid metabolism; glyoxylate and dicarboxylate metabolism; and arginine and proline metabolism were involved in epilepsy. These pathways might play important roles in the pathogenesis of the disease. This review summarizes metabolites and metabolic pathways related to epilepsy and provides a novel perspective for the identification of potential biomarkers and therapeutic targets for epilepsy.
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Affiliation(s)
- Wanlin Lai
- Department of Neurology, West China Hospital of Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Dan Du
- West China-Washington Mitochondria and Metabolism Center, Advanced Mass Spectrometry Centre, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital of Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, People's Republic of China
| | - Lei Chen
- Department of Neurology, West China Hospital of Sichuan University, No.37 Guoxue Alley, Chengdu, 610041, People's Republic of China.
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Akyol S, Ugur Z, Yilmaz A, Ustun I, Gorti SKK, Oh K, McGuinness B, Passmore P, Kehoe PG, Maddens ME, Green BD, Graham SF. Lipid Profiling of Alzheimer's Disease Brain Highlights Enrichment in Glycerol(phospho)lipid, and Sphingolipid Metabolism. Cells 2021; 10:2591. [PMID: 34685570 PMCID: PMC8534054 DOI: 10.3390/cells10102591] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 09/22/2021] [Accepted: 09/25/2021] [Indexed: 11/16/2022] Open
Abstract
Alzheimer's disease (AD) is reported to be closely linked with abnormal lipid metabolism. To gain a more comprehensive understanding of what causes AD and its subsequent development, we profiled the lipidome of postmortem (PM) human brains (neocortex) of people with a range of AD pathology (Braak 0-6). Using high-resolution mass spectrometry, we employed a semi-targeted, fully quantitative lipidomics profiling method (Lipidyzer) to compare the biochemical profiles of brain tissues from persons with mild AD (n = 15) and severe AD (AD; n = 16), and compared them with age-matched, cognitively normal controls (n = 16). Univariate analysis revealed that the concentrations of 420 lipid metabolites significantly (p < 0.05; q < 0.05) differed between AD and controls. A total of 49 lipid metabolites differed between mild AD and controls, and 439 differed between severe AD and mild AD. Interestingly, 13 different subclasses of lipids were significantly perturbed, including neutral lipids, glycerolipids, glycerophospholipids, and sphingolipids. Diacylglycerol (DAG) (14:0/14:0), triacylglycerol (TAG) (58:10/FA20:5), and TAG (48:4/FA18:3) were the most notably altered lipids when AD and control brains were compared (p < 0.05). When we compare mild AD and control brains, phosphatidylethanolamine (PE) (p-18:0/18:1), phosphatidylserine (PS) (18:1/18:2), and PS (14:0/22:6) differed the most (p < 0.05). PE (p-18:0/18:1), DAG (14:0/14:0), and PS (18:1/20:4) were identified as the most significantly perturbed lipids when AD and mild AD brains were compared (p < 0.05). Our analysis provides the most extensive lipid profiling yet undertaken in AD brain tissue and reveals the cumulative perturbation of several lipid pathways with progressive disease pathology. Lipidomics has considerable potential for studying AD etiology and identifying early diagnostic biomarkers.
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Affiliation(s)
- Sumeyya Akyol
- Metabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA; (S.A.); (Z.U.); (A.Y.); (K.O.)
| | - Zafer Ugur
- Metabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA; (S.A.); (Z.U.); (A.Y.); (K.O.)
| | - Ali Yilmaz
- Metabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA; (S.A.); (Z.U.); (A.Y.); (K.O.)
- William Beaumont School of Medicine, Oakland University, Rochester, MI 48073, USA
| | - Ilyas Ustun
- College of Computing and Digital Media, DePaul University, Chicago, IL 60604, USA; (I.U.); (M.E.M.)
| | | | - Kyungjoon Oh
- Metabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA; (S.A.); (Z.U.); (A.Y.); (K.O.)
- Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, 82, Gumi-ro 173 Beon-gil, Bundang-gu, Seongnam-si 13620, Gyeonggi-do, Korea
| | - Bernadette McGuinness
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT12 6BA, UK; (B.M.); (P.P.)
| | - Peter Passmore
- Centre for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, Belfast BT12 6BA, UK; (B.M.); (P.P.)
| | - Patrick G. Kehoe
- Dementia Research Group, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol BS10 5NB, UK;
| | - Michael E. Maddens
- College of Computing and Digital Media, DePaul University, Chicago, IL 60604, USA; (I.U.); (M.E.M.)
| | - Brian D. Green
- Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UK;
| | - Stewart F. Graham
- Metabolomics Department, Beaumont Research Institute, Beaumont Health, Royal Oak, MI 48073, USA; (S.A.); (Z.U.); (A.Y.); (K.O.)
- College of Computing and Digital Media, DePaul University, Chicago, IL 60604, USA; (I.U.); (M.E.M.)
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