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Saribal D, Çalis H, Ceylan Z, Depciuch J, Cebulski J, Guleken Z. Investigation of the structural changes in the hippocampus and prefrontal cortex using FTIR spectroscopy in sleep deprived mice. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 321:124702. [PMID: 38917751 DOI: 10.1016/j.saa.2024.124702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 06/18/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024]
Abstract
Sleep is a basic, physiological requirement for living things to survive and is a process that covers one third of our lives. Melatonin is a hormone that plays an important role in the regulation of sleep. Sleep deprivation affect brain structures and functions. Sleep deprivation causes a decrease in brain activity, with particularly negative effects on the hippocampus and prefrontal cortex. Despite the essential role of protein and lipids vibrations, polysaccharides, fatty acid side chains functional groups, and ratios between amides in brain structures and functions, the brain chemical profile exposed to gentle handling sleep deprivation model versus Melatonin exposure remains unexplored. Therefore, the present study, aims to investigate a molecular profile of these regions using FTIR spectroscopy measurement's analysis based on lipidomic approach with chemometrics and multivariate analysis to evaluate changes in lipid composition in the hippocampus, prefrontal regions of the brain. In this study, C57BL/6J mice were randomly assigned to either the control or sleep deprivation group, resulting in four experimental groups: Control (C) (n = 6), Control + Melatonin (C + M) (n = 6), Sleep Deprivation (S) (n = 6), and Sleep Deprivation + Melatonin (S + M) (n = 6). Interventions were administered each morning via intraperitoneal injections of melatonin (10 mg/kg) or vehicle solution (%1 ethanol + saline), while the S and S + M groups underwent 6 h of daily sleep deprivation from using the Gentle Handling method. All mice were individually housed in cages with ad libitum access to food and water within a 12-hour light-dark cycle. Results presented that the brain regions affected by insomnia. The structure of phospholipids, changed. Yet, not only changes in lipids but also in amides were noticed in hippocampus and prefrontal cortex tissues. Additionally, FTIR results showed that melatonin affected the lipids as well as the amides fraction in cortex and hippocampus collected from both control and sleep deprivation groups.
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Affiliation(s)
- Devrim Saribal
- Department of Biophysics, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpaşa, Istanbul, Turkey
| | - Hakan Çalis
- Department of Internal Medicine, Bağcılar State Hospital, Istanbul, Turkey
| | - Zeynep Ceylan
- Samsun University, Faculty of Engineering, Department of Industrial Engineering, Samsun, Turkey
| | - Joanna Depciuch
- Department of Biochemistry and Molecular Biology, Medical University of Lublin, Lublin 20-093, Poland; Institute of Nuclear Physics, PAS, 31342 Krakow, Poland
| | - Jozef Cebulski
- Institute of Physics, University of Rzeszow, 35-959 Rzeszow, Poland
| | - Zozan Guleken
- Department of Physiology, Faculty of Medicine, Gaziantep Islam Science and Technology University, Gaziantep, Turkey.
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Osetrova M, Tkachev A, Mair W, Guijarro Larraz P, Efimova O, Kurochkin I, Stekolshchikova E, Anikanov N, Foo JC, Cazenave-Gassiot A, Mitina A, Ogurtsova P, Guo S, Potashnikova DM, Gulin AA, Vasin AA, Sarycheva A, Vladimirov G, Fedorova M, Kostyukevich Y, Nikolaev E, Wenk MR, Khrameeva EE, Khaitovich P. Lipidome atlas of the adult human brain. Nat Commun 2024; 15:4455. [PMID: 38796479 PMCID: PMC11127996 DOI: 10.1038/s41467-024-48734-y] [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: 12/15/2022] [Accepted: 05/07/2024] [Indexed: 05/28/2024] Open
Abstract
Lipids are the most abundant but poorly explored components of the human brain. Here, we present a lipidome map of the human brain comprising 75 regions, including 52 neocortical ones. The lipidome composition varies greatly among the brain regions, affecting 93% of the 419 analyzed lipids. These differences reflect the brain's structural characteristics, such as myelin content (345 lipids) and cell type composition (353 lipids), but also functional traits: functional connectivity (76 lipids) and information processing hierarchy (60 lipids). Combining lipid composition and mRNA expression data further enhances functional connectivity association. Biochemically, lipids linked with structural and functional brain features display distinct lipid class distribution, unsaturation extent, and prevalence of omega-3 and omega-6 fatty acid residues. We verified our conclusions by parallel analysis of three adult macaque brains, targeted analysis of 216 lipids, mass spectrometry imaging, and lipidome assessment of sorted murine neurons.
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Affiliation(s)
- Maria Osetrova
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Anna Tkachev
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Waltraud Mair
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | | | - Olga Efimova
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Ilia Kurochkin
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | | | | | - Juat Chin Foo
- Singapore Lipidomics Incubator, Life Sciences Institute and Precision Medicine Translational Research Program, Department of Biochemistry, Yong Loo Lin School of Medicine; National University of Singapore, Singapore, Singapore
| | - Amaury Cazenave-Gassiot
- Singapore Lipidomics Incubator, Life Sciences Institute and Precision Medicine Translational Research Program, Department of Biochemistry, Yong Loo Lin School of Medicine; National University of Singapore, Singapore, Singapore
| | | | | | - Song Guo
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Daria M Potashnikova
- Department of Cell Biology and Histology, Faculty of Biology, Lomonosov Moscow State University, Moscow, Russia
| | - Alexander A Gulin
- N. N. Semenov Federal Research Center for Chemical Physics Russian Academy of Sciences, Moscow, Russia
| | - Alexander A Vasin
- N. N. Semenov Federal Research Center for Chemical Physics Russian Academy of Sciences, Moscow, Russia
- Department of Chemistry, Lomonosov Moscow State University, Moscow, Russia
| | | | - Gleb Vladimirov
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | | | | | - Evgeny Nikolaev
- Skolkovo Institute of Science and Technology, Moscow, Russia
| | - Markus R Wenk
- Singapore Lipidomics Incubator, Life Sciences Institute and Precision Medicine Translational Research Program, Department of Biochemistry, Yong Loo Lin School of Medicine; National University of Singapore, Singapore, Singapore.
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Kronborg TM, Gao Q, Trošt K, Ytting H, O’Connell MB, Werge MP, Thing M, Gluud LL, Hamberg O, Møller S, Moritz T, Bendtsen F, Kimer N. Low sphingolipid levels predict poor survival in patients with alcohol-related liver disease. JHEP Rep 2024; 6:100953. [PMID: 38283758 PMCID: PMC10820332 DOI: 10.1016/j.jhepr.2023.100953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 10/08/2023] [Accepted: 10/20/2023] [Indexed: 01/30/2024] Open
Abstract
Background & Aims Alcohol-related hepatitis (AH) and alcohol-related cirrhosis are grave conditions with poor prognoses. Altered hepatic lipid metabolism can impact disease development and varies between different alcohol-related liver diseases. Therefore, we aimed to investigate lipidomics and metabolomics at various stages of alcohol-related liver diseases and their correlation with survival. Methods Patients with newly diagnosed alcohol-related cirrhosis, who currently used alcohol (ALC-A), stable outpatients with decompensated alcohol-related cirrhosis with at least 8 weeks of alcohol abstinence (ALC), and patients with AH, were compared with each other and with healthy controls (HC). Circulating lipids and metabolites were analysed using HPLC and mass spectrometry. Results Forty patients with ALC, 95 with ALC-A, 30 with AH, and 42 HC provided plasma. Lipid levels changed according to disease severity, with generally lower levels in AH and cirrhosis than in the HC group; this was most pronounced for AH, followed by ALC-A. Nine out of 10 free fatty acids differed between cirrhosis groups by relative increases of 0.12-0.66 in ALC compared with the ALC-A group (p <0.0005). For metabolomics, total bile acids increased by 19.7, 31.3, and 80.4 in the ALC, ALC-A, and AH groups, respectively, compared with HC (all p <0.0001). Low sphingolipid ([d42:1] and [d41:1]) levels could not predict 180-day mortality (AUC = 0.73, p = 0.95 and AUC = 0.73, p = 0.95) more accurately than the model for end-stage liver disease score (AUC = 0.71), but did predict 90-day mortality (AUC d42:1 = 0.922, AUC d41:1 = 0.893; pd42:1 = 0.005, pd41:1 = 0.007) more accurately than the MELD score AUCMELD = 0.70, pMELD = 0.19). Conclusions Alcohol-related severe liver disease is characterised by low lipid levels progressing with severity of liver disease, especially low sphingomyelins, which also associate to poor prognoses. Impact and implications Lipidomics has the potential to diagnose and risk stratify patients with liver diseases. Lipidomics differed between patients with alcohol-related hepatitis and alcohol-related cirrhosis with and without recent alcohol use. Furthermore, lipidomics could predict short-term mortality and might be suitable as a prognostic tool in the future. Clinical Trials Registration Scientific Ethics Committee of the Capital Region of Denmark, journal no. H-21013476.
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Affiliation(s)
| | - Qian Gao
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kajetan Trošt
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henriette Ytting
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Mira Thing
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Lise Lotte Gluud
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Ole Hamberg
- Medical Department, University Hospital of Zealand, Koege, Denmark
| | - Søren Møller
- Department of Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Centre for Functional and Diagnostic Imaging and Research, Department of Clinical Physiology and Nuclear Medicine, Hvidovre Hospital, Hvidovre, Denmark
| | - Thomas Moritz
- Novo Nordisk Foundation Centre for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Bendtsen
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
| | - Nina Kimer
- Gastro Unit, Medical Division, University Hospital Hvidovre, Hvidovre, Denmark
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Perpiñá-Clérigues C, Mellado S, Galiana-Roselló C, Fernández-Regueras M, Marcos M, García-García F, Pascual M. Novel insight into the lipid network of plasma extracellular vesicles reveal sex-based differences in the lipidomic profile of alcohol use disorder patients. Biol Sex Differ 2024; 15:10. [PMID: 38273378 PMCID: PMC10809459 DOI: 10.1186/s13293-024-00584-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND Alcohol use disorder (AUD) is one of the most common psychiatric disorders, with the consumption of alcohol considered a leading cause of preventable deaths worldwide. Lipids play a crucial functional role in cell membranes; however, we know little about the role of lipids in extracellular vesicles (EVs) as regulatory molecules and disease biomarkers. METHODS We employed a sensitive lipidomic strategy to characterize lipid species from the plasma EVs of AUD patients to evaluate functional roles and enzymatic activity networks to improve the knowledge of lipid metabolism after alcohol consumption. We analyzed plasma EV lipids from AUD females and males and healthy individuals to highlight lipids with differential abundance and biologically interpreted lipidomics data using LINEX2, which evaluates enzymatic dysregulation using an enrichment algorithm. RESULTS Our results show, for the first time, that AUD females exhibited more significant substrate-product changes in lysophosphatidylcholine/phosphatidylcholine lipids and phospholipase/acyltransferase activity, which are potentially linked to cancer progression and neuroinflammation. Conversely, AUD males suffer from dysregulated ceramide and sphingomyelin lipids involving sphingomyelinase, sphingomyelin phosphodiesterase, and sphingomyelin synthase activity, which relates to hepatotoxicity. Notably, the analysis of plasma EVs from AUD females and males demonstrates enrichment of lipid ontology terms associated with "negative intrinsic curvature" and "positive intrinsic curvature", respectively. CONCLUSIONS Our methodological developments support an improved understanding of lipid metabolism and regulatory mechanisms, which contribute to the identification of novel lipid targets and the discovery of sex-specific clinical biomarkers in AUD.
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Affiliation(s)
- Carla Perpiñá-Clérigues
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center, C/Eduardo Primo Yúfera, 3, 46012, Valencia, Spain
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain
| | - Susana Mellado
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain
| | - Cristina Galiana-Roselló
- Department of Inorganic Chemistry, Institute of Molecular Science, University of Valencia, 46980, Paterna, Spain
| | - María Fernández-Regueras
- Hospital Universitario de Burgos, 09006, Burgos, Spain
- Hospital Universitario de Salamanca, 37007, Salamanca, Spain
| | - Miguel Marcos
- Department of Internal Medicine, University Hospital of Salamanca, University of Salamanca, Institute of Biomedical Research of Salamanca (IBSAL), 37007, Salamanca, Spain
| | - Francisco García-García
- Computational Biomedicine Laboratory, Príncipe Felipe Research Center, C/Eduardo Primo Yúfera, 3, 46012, Valencia, Spain.
| | - María Pascual
- Department of Physiology, School of Medicine and Dentistry, University of Valencia, Avda. Blasco Ibáñez, 15, 46010, Valencia, Spain.
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He J, Chen Y, Dai S, Chen F, Wang Y, Shi T, Chen L, Liu Y, Chen J, Xie P. First insights into region-specific lipidome alterations of prefrontal cortex and hippocampus of mice exposed chronically to microcystins. ENVIRONMENT INTERNATIONAL 2023; 177:108018. [PMID: 37329758 DOI: 10.1016/j.envint.2023.108018] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 06/19/2023]
Abstract
Microcystins (MCs), a group of most widespread freshwater cyanotoxins that possess strong neurotoxicity, can adversely affect brain structures and functions and are linked to neurodegenerative diseases. Despite the essential role of lipids in brain structures and functions, the brain lipidome profile of mammals exposed to MCs remains unexplored, hindering a clear understanding of the neurotoxic effects of MCs and underlying mechanisms. In this study, we performed untargeted lipidomic profiling using ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) on the prefrontal cortex and hippocampus of mice orally exposed to 30 and 300 μg/kg body mass/day of microcystin-leucine arginine (MC-LR) for 180 days to evaluate the impacts of MC-LR on the brain lipidome profile and functions. Our results show that MC-LR resulted in a decline in cognitive parameters, as assessed by the Morris water maze test. Interestingly, apparent neurodegenerative changes were observed in the prefrontal cortex, but not in the hippocampus. Comprehensive lipidomic analyses uncovered profound, region-specific changes in the phospholipid and sphingolipid profile at the levels of lipid subclasses, lipid species, and fatty acyl composition. These changes showed overall decrease trends of lipid content in the prefrontal cortex yet increasing trends in the hippocampus. We identified distinct transcriptional regulations of lipid metabolism and apoptosis by MC-LR in the two regions, which appeared to underlie the neurodegenerative changes. Collectively, this study uncovers region-specific changes in the brain lipidome profile and functions induced by MCs, shedding light on the role of lipid dysfunction in neurotoxicity mechanism of MCs.
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Affiliation(s)
- Jun He
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Yang Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Shiming Dai
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Feng Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Yeke Wang
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Ting Shi
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China
| | - Liang Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China
| | - Ying Liu
- Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China
| | - Jun Chen
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.
| | - Ping Xie
- Donghu Experimental Station of Lake Ecosystems, State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences (UCAS), Beijing 100049, China; Institute for Ecological Research and Pollution Control of Plateau Lakes, School of Ecology and Environmental Science, Yunnan University, Kunming 650500, China.
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