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Zhang A, Pan C, Wu M, Lin Y, Chen J, Zhong N, Zhang R, Pu L, Han L, Pan H. Causal association between plasma metabolites and neurodegenerative diseases. Prog Neuropsychopharmacol Biol Psychiatry 2024:111067. [PMID: 38908505 DOI: 10.1016/j.pnpbp.2024.111067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 06/06/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
BACKGROUND Establishing causal relationships between metabolic biomarkers and neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD) is a challenge faced by observational studies. In this study, our aim was to investigate the causal associations between plasma metabolites and neurodegenerative diseases using Mendelian Randomization (MR) methods. METHODS We utilized genetic associations with 1400 plasma metabolic traits as exposures. We used large-scale genome-wide association study (GWAS) summary statistics for AD and PD as our discovery datasets. For validation, we performed repeated analyses using different GWAS datasets. The main statistical method employed was inverse variance-weighted (IVW). We also conducted enrichment pathway analysis for IVW-identified metabolites. RESULTS In the discovered dataset, there are a total of 69 metabolites (36 negatively, 33 positively) potentially associated with AD, and 47 metabolites (24 negatively, 23 positively) potentially associated with PD. Among these, 4 significant metabolites overlap with significant metabolites (PIVW < 0.05)in the validation dataset for AD, and 1 metabolite overlaps with significant metabolites in the validation dataset for PD. Three metabolites serve as common potential metabolic markers for both AD and PD, including Tryptophan betaine, Palmitoleoylcarnitine (C16:1), and X-23655 levels. Further pathway enrichment analysis suggests that the SLC-mediated transmembrane transport pathway, involving tryptophan betaine and carnitine metabolites, may represent potential intervention targets for treating AD and PD. CONCLUSION This study offers novel insights into the causal effects of plasma metabolites on degenerative diseases through the integration of genomics and metabolomics. The identification of metabolites and metabolic pathways linked to AD and PD enhances our comprehension of the underlying biological mechanisms and presents promising targets for future therapeutic interventions in AD and PD.
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Affiliation(s)
- Ao Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Congcong Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Meifen Wu
- Department of Endocrinology, The First Dongguan Affiliated Hospital of Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Yue Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Jiashen Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Ni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China
| | - Ruijie Zhang
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China
| | - Liyuan Pu
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China
| | - Liyuan Han
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life Sciences and Health Industry Research Institute, Chinese Academy of Sciences, Ningbo, Zhejiang Province, China.
| | - Haiyan Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Guangdong Medical University, Dongguan City, Guangdong Province, China.
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Guo J, Cao Y, Zhang T, Xu C, Liu Z, Li W, Wang Q. Multisensory Fusion Training and 7, 8-Dihydroxyflavone Improve Amyloid-β-Induced Cognitive Impairment, Anxiety, and Depression-Like Behavior in Mice Through Multiple Mechanisms. Neuropsychiatr Dis Treat 2024; 20:1247-1270. [PMID: 38883414 PMCID: PMC11180438 DOI: 10.2147/ndt.s459891] [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: 02/28/2024] [Accepted: 06/05/2024] [Indexed: 06/18/2024] Open
Abstract
Background There is growing interest in the role of physical activity in patients with of Alzheimer's disease (AD), particularly regarding its impact of cognitive function, gut microbiota, metabolites, and neurotrophic factors. Objective To investigate the impact of multisensory fusion training (MSFT) combined with 7, 8-dihydroxyflavone (DHF) on the behavioral characteristics, protein expression, microbiome, and serum metabolome using the AD model in mice induced with amyloid-β (Aβ). Methods We assessed cognitive ability, anxiety-like and depression-like behaviors in Aβ mice using behavioral measures. Western blotting was employed to detect the expression of relevant proteins. The 16S rRNA gene sequencing and metabolomics were used to analyze changes in the intestinal microbial composition and serum metabolic profile, respectively, of Aβ mice. Results The behavioral outcomes indicated that a 4-week intervention combining DHF and MSFT yielded remarkable improvements in cognitive function and reduced anxiety and depression-like behaviors in Aβ mice. In the hippocampus of Aβ mice, the combined intervention increased the levels of BDNF, VGF, PSD-95, Nrf2, p-GSK3β and p-CREB proteins. Analyses of sequence and metabolomic data revealed that Bacteroides and Ruminococcaceae were remarkably more abundant following the combined intervention, influencing the expression of specific metabolites directly linked to the maintenance of neuronal and neurobehavioral functions. These metabolites play a crucial role in vital processes, such as amino acid metabolism, lipid metabolism, and neurotransmitter metabolism in mice. Conclusion Our study highlighted that MSFT combined with DHF improves cognitive impairment, anxiety, and depression-like behavior in Aβ mice through multiple mechanisms, and further validated the correlation between the gut microbiome and serum metabolome. These findings open up a promising avenue for future investigations into potential treatment strategies for AD.
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Affiliation(s)
- Jiejie Guo
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
- Department of Clinical Laboratory, The First People's Hospital of Wenling, Taizhou, People's Republic of China
- Department of Neurology, The First People's Hospital of Wenling, Taizhou, People's Republic of China
| | - Yanzi Cao
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
| | - Ting Zhang
- Department of Clinical Laboratory, The First People's Hospital of Wenling, Taizhou, People's Republic of China
| | - Chunshuang Xu
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
| | - Zhitao Liu
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
- Fujian Normal University, Fuzhou, People's Republic of China
| | - Wanyi Li
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
| | - Qinwen Wang
- Zhejiang Key Laboratory of Pathophysiology, NBU Health Science Center, Ningbo University, Ningbo, People's Republic of China
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Nguyen HD, Kim WK, Huong Vu G. Molecular mechanisms implicated in protein changes in the Alzheimer's disease human hippocampus. Mech Ageing Dev 2024; 219:111930. [PMID: 38554950 DOI: 10.1016/j.mad.2024.111930] [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: 12/03/2023] [Revised: 01/18/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
This study aimed to elucidate the specific biochemical pathways linked to changes in proteins in the Alzheimer's disease (AD) human hippocampus. Our data demonstrate a constant rise in the expression of four proteins (VGF, GFAP, HSPB1, and APP) across all eleven studies. Notably, UBC was the most centrally involved and had increased expression in the hippocampus tissue of individuals with AD. Modified proteins in the hippocampal tissue were found to activate the innate immune system and disrupt communication across chemical synapses. Four hub proteins (CD44, APP, ITGB2, and APOE) are connected to amyloid plaques, whereas two hub proteins (RPL24 and RPS23) are related to neurofibrillary tangles (NFTs). The presence of modified proteins was discovered to trigger the activation of microglia and decrease the functioning of ribosomes and mitochondria in the hippocampus. Three significant microRNAs (hsa-miR-106b-5p, hsa-miR-17-5p, and hsa-miR-16-5p) and transcription factors (MYT1L, PIN1, and CSRNP3) have been discovered to improve our understanding of the alterations in proteins within the hippocampal tissues that lead to the progression of AD. These findings establish a path for possible treatments for AD to employ therapeutic strategies that specifically focus on the proteins or processes linked to the illness.
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Affiliation(s)
- Hai Duc Nguyen
- Department of Pharmacy, College of Pharmacy and Research Institute of Life and Pharmaceutical Sciences, Sunchon National University, Suncheon 57922, Republic of Korea; Division of Microbiology, Tulane National Primate Research Center, Tulane University, Louisiana, USA.
| | - Woong-Ki Kim
- Division of Microbiology, Tulane National Primate Research Center, Tulane University, Louisiana, USA; Department of Microbiology and Immunology, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Giang Huong Vu
- Department of Public Health, Hong Bang Health Center, Hai Phong, Vietnam
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Pandey RS, Arnold M, Batra R, Krumsiek J, Kotredes KP, Garceau D, Williams H, Sasner M, Howell GR, Kaddurah‐Daouk R, Carter GW. Metabolomics profiling reveals distinct, sex-specific signatures in serum and brain metabolomes in mouse models of Alzheimer's disease. Alzheimers Dement 2024; 20:3987-4001. [PMID: 38676929 PMCID: PMC11180854 DOI: 10.1002/alz.13851] [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: 12/12/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/29/2024]
Abstract
INTRODUCTION Increasing evidence suggests that metabolic impairments contribute to early Alzheimer's disease (AD) mechanisms and subsequent dementia. Signals in metabolic pathways conserved across species can facilitate translation. METHODS We investigated differences in serum and brain metabolites between the early-onset 5XFAD and late-onset LOAD1 (APOE4.Trem2*R47H) mouse models of AD to C57BL/6J controls at 6 months of age. RESULTS We identified sex differences for several classes of metabolites, such as glycerophospholipids, sphingolipids, and amino acids. Metabolic signatures were notably different between brain and serum in both mouse models. The 5XFAD mice exhibited stronger differences in brain metabolites, whereas LOAD1 mice showed more pronounced differences in serum. DISCUSSION Several of our findings were consistent with results in humans, showing glycerophospholipids reduction in serum of apolipoprotein E (apoE) ε4 carriers and replicating the serum metabolic imprint of the APOE ε4 genotype. Our work thus represents a significant step toward translating metabolic dysregulation from model organisms to human AD. HIGHLIGHTS This was a metabolomic assessment of two mouse models relevant to Alzheimer's disease. Mouse models exhibit broad sex-specific metabolic differences, similar to human study cohorts. The early-onset 5XFAD mouse model primarily alters brain metabolites while the late-onset LOAD1 model primarily changes serum metabolites. Apolipoprotein E (apoE) ε4 mice recapitulate glycerophospolipid signatures of human APOE ε4 carriers in both brain and serum.
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Affiliation(s)
- Ravi S. Pandey
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
| | - Mattias Arnold
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Institute of Computational BiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental Health, Ingolstädter Landstraße 1OberschleißheimGermany
| | - Richa Batra
- Department of Physiology and BiophysicsInstitute for Computational BiomedicineEnglander Institute for Precision MedicineWeill Cornell MedicineNew YorkNew YorkUSA
| | - Jan Krumsiek
- Department of Physiology and BiophysicsInstitute for Computational BiomedicineEnglander Institute for Precision MedicineWeill Cornell MedicineNew YorkNew YorkUSA
| | | | | | | | | | | | - Rima Kaddurah‐Daouk
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Duke Institute of Brain SciencesDuke UniversityDurhamNorth CarolinaUSA
- Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | - Gregory W. Carter
- The Jackson Laboratory for Genomic MedicineFarmingtonConnecticutUSA
- The Jackson LaboratoryBar HarborMaineUSA
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Yin KF, Gu XJ, Su WM, Chen T, Long J, Gong L, Ying ZY, Dou M, Jiang Z, Duan QQ, Cao B, Gao X, Chi LY, Chen YP. Causal association and mediating effect of blood biochemical metabolic traits and brain image-derived endophenotypes on Alzheimer's disease. Heliyon 2024; 10:e27422. [PMID: 38644883 PMCID: PMC11033073 DOI: 10.1016/j.heliyon.2024.e27422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 01/17/2024] [Accepted: 02/28/2024] [Indexed: 04/23/2024] Open
Abstract
Background Recent genetic evidence supports that circulating biochemical and metabolic traits (BMTs) play a causal role in Alzheimer's disease (AD), which might be mediated by changes in brain structure. Here, we leveraged publicly available genome-wide association study data to investigate the intrinsic causal relationship between blood BMTs, brain image-derived phenotypes (IDPs) and AD. Methods Utilizing the genetic variants associated with 760 blood BMTs and 172 brain IDPs as the exposure and the latest AD summary statistics as the outcome, we analyzed the causal relationship between blood BMTs and brain IDPs and AD by using a two-sample Mendelian randomization (MR) method. Additionally, we used two-step/mediation MR to study the mediating effect of brain IDPs between blood BMTs and AD. Results Twenty-five traits for genetic evidence supporting a causal association with AD were identified, including 12 blood BMTs and 13 brain IDPs. For BMTs, glutamine consistently reduced the risk of AD in 3 datasets. For IDPs, specific alterations of cortical thickness (atrophy in frontal pole and insular lobe, and incrassation in superior parietal lobe) and subcortical volume (atrophy in hippocampus and its subgroups, left accumbens and left choroid plexus, and expansion in cerebral white matter) are vulnerable to AD. In the two-step/mediation MR analysis, superior parietal lobe, right hippocampal fissure and left accumbens were identified to play a potential mediating role among three blood BMTs and AD. Conclusions The results obtained in our study suggest that 12 circulating BMTs and 13 brain IDPs play a causal role in AD. Importantly, a subset of BMTs exhibit shared genetic architecture and potentially causal relationships with brain structure, which may contribute to the alteration of brain IDPs in AD.
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Affiliation(s)
- Kang-Fu Yin
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xiao-Jing Gu
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Wei-Ming Su
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Ting Chen
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Jiang Long
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Li Gong
- Rare Diseases Center, Outpatient Department, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Zhi-Ye Ying
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Meng Dou
- Chengdu institute of computer application, Chinese Academy of Sciences, Chengdu, 610041, Sichuan, China
| | - Zheng Jiang
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Qing-Qing Duan
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Bei Cao
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
| | - Xia Gao
- Department of Geriatrics, Dazhou central hospital, Dazhou, 635000, Sichuan, China
| | - Li-Yi Chi
- Department of Neurology, First Affiliated Hospital of Air Force Military Medical University, Xi'an, 710072, Shanxi, China
| | - Yong-Ping Chen
- Department of Neurology, Institute of Brain Science and Brain-inspired Technology, Centre for Rare Diseases, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China
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Liu S, Lu Y, Tian D, Zhang T, Zhang C, Hu CY, Chen P, Meng Y. Hydroxytyrosol Alleviates Obesity-Induced Cognitive Decline by Modulating the Expression Levels of Brain-Derived Neurotrophic Factors and Inflammatory Factors in Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:6250-6264. [PMID: 38491001 DOI: 10.1021/acs.jafc.3c08319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/18/2024]
Abstract
Hydroxytyrosol (HT; 3,4-dihydroxyphenyl ethanol) is an important functional polyphenol in olive oil. Our study sought to evaluate the protective effects and underlying mechanisms of HT on obesity-induced cognitive impairment. A high-fat and high-fructose-diet-induced obese mice model was treated with HT for 14 weeks. The results show that HT improved the learning and memory abilities and enhanced the expressions of brain-derived neurotrophic factors (BDNFs) and postsynaptic density proteins, protecting neuronal and synaptic functions in obese mice. Transcriptomic results further confirmed that HT improved cognitive impairment by regulating gene expression in neural system development and synaptic function-related pathways. Moreover, HT treatment alleviated neuroinflammation in the brain of obese mice. To sum up, our results indicated that HT can alleviate obesity-induced cognitive dysfunction by enhancing BDNF expression and alleviating neuroinflammation in the brain, which also means that HT may become a potentially useful nutritional supplement to alleviate obesity-induced cognitive decline.
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Affiliation(s)
- Shenlin Liu
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
| | - Yalong Lu
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
| | - Dan Tian
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
| | - Tingting Zhang
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
| | - Chaoqun Zhang
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
| | - Ching Yuan Hu
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
- Department of Human Nutrition, Food and Animal Sciences, College of Tropical Agriculture and Human Resources, University of Hawaii at Manoa, 1955 East-West Road, AgSci. 415J, Honolulu, Hawaii 96822, United States
| | - Ping Chen
- Shaanxi Provincial Center for Disease Control and Prevention, Xian, Shaanxi 710054, P. R. China
| | - Yonghong Meng
- The Engineering Research Center of High-Valued Utilization of Fruit Resources in Western China, Ministry of Education; National Research & Development Center of Apple Processing Technology; College of Food Engineering and Nutritional Science, Shaanxi Normal University, 620 West Changan Avenue, Xian, Shaanxi 710119, P. R. China
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Kim JS, Kim MG, Ryu JE, Lee YB, Liu QF, Kim KK, Cho SH, Shin SJ, Koo BS, Choi HK. Effect of woohwangchungsimwon and donepezil co-treatment on cognitive function and serum metabolic profiles in a scopolamine-induced model of Alzheimer's disease. JOURNAL OF ETHNOPHARMACOLOGY 2024; 319:117359. [PMID: 37924999 DOI: 10.1016/j.jep.2023.117359] [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: 05/09/2023] [Revised: 10/23/2023] [Accepted: 10/25/2023] [Indexed: 11/06/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Woohwangchungsimwon (WCW) is a traditional medicine used in East Asian countries to treat central nervous system disorders. Reported pharmacological properties include antioxidant effects, enhanced learning and memory, and protection against ischemic neuronal cell death, supporting its use in treating neurodegenerative diseases like Alzheimer's disease (AD). AIM OF THE STUDY The study aims to assess the effects of co-treatment with WCW and donepezil on cognitive functions and serum metabolic profiles in a scopolamine-induced AD model. MATERIALS AND METHODS Cell viability and reactive oxygen species (ROS) levels were measured in amyloid β-peptide25-35 (Aβ25-35)-induced SH-SY5Y cells. An AD model was established in ICR mice by intraperitoneal scopolamine administration. Animals underwent the step-through passive avoidance test (PAT) and Morris water maze (MWM) test. Hippocampal tissues were collected to examine specific protein expression. Serum metabolic profiles were analyzed using nuclear magnetic resonance (NMR) spectroscopy. RESULTS Co-treatment with WCW and donepezil increased cell viability and reduced ROS production in Aβ25-35-induced SH-SY5Y cells compared to that with donepezil treatment alone. Co-treatment improved cognitive functions and was comparable to donepezil treatment alone in the PAT and MWM tests. Pathways related to tyrosine, phenylalanine, and tryptophan biosynthesis, phenylalanine metabolism, and cysteine and methionine metabolism were altered by co-treatment. Levels of tyrosine and methionine, major serum metabolites in these pathways, were significantly reduced after co-treatment. CONCLUSIONS Co-treatment with WCW and donepezil shows promise as a therapeutic strategy for AD and is comparable to donepezil alone in improving cognitive function. Reduced tyrosine and methionine levels after co-treatment may enhance cognitive function by mitigating hypertyrosinemia and hyperhomocysteinemia, known risk factors for AD. The serum metabolic profiles obtained in this study can serve as a foundation for developing other bioactive compounds using a scopolamine-induced mouse model.
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Affiliation(s)
- Jung-Seop Kim
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Man-Gi Kim
- Department of Neuropsychiatry, College of Korean Medicine, Dongguk University, Goyang, Gyeonggi-do, Republic of Korea
| | - Ji Eun Ryu
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Ye-Been Lee
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Quan Feng Liu
- Department of Neuropsychiatry, College of Korean Medicine, Dongguk University, Goyang, Gyeonggi-do, Republic of Korea
| | - Kwang Ki Kim
- Department of Neurology, Dongguk University Ilsan Hospital, Goyang, Gyeonggi-do, Republic of Korea
| | - Seung-Hun Cho
- Department of Neuropsychiatry, College of Korean Medicine, Kyung Hee University Medical Center, Kyung Hee University, Seoul, Republic of Korea
| | - Sung Joon Shin
- Division of Nephrology, Department of Internal Medicine, Medical Cannabis Center, Dongguk University Ilsan Hospital, Dongguk University, Goyang, Gyeonggi-do, Republic of Korea
| | - Byung-Soo Koo
- Department of Neuropsychiatry, College of Korean Medicine, Dongguk University, Goyang, Gyeonggi-do, Republic of Korea.
| | - Hyung-Kyoon Choi
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
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Vardarajan B, Kalia V, Reyes-Dumeyer D, Dubey S, Nandakumar R, Lee A, Lantigua R, Medrano M, Rivera D, Honig L, Mayeux R, Miller G. Lysophosphatidylcholines are associated with P-tau181 levels in early stages of Alzheimer's Disease. RESEARCH SQUARE 2024:rs.3.rs-3346076. [PMID: 38260644 PMCID: PMC10802729 DOI: 10.21203/rs.3.rs-3346076/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Background We profiled circulating plasma metabolites to identify systemic biochemical changes in clinical and biomarker-assisted diagnosis of Alzheimer's disease (AD). Methods We used an untargeted approach with liquid chromatography coupled to high-resolution mass spectrometry to measure small molecule plasma metabolites from 150 clinically diagnosed AD patients and 567 age-matched healthy elderly of Caribbean Hispanic ancestry. Plasma biomarkers of AD were measured including P-tau181, Aβ40, Aβ42, total-tau, neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). Association of individual and co-abundant modules of metabolites were tested with clinical diagnosis of AD, as well as biologically-defined AD pathological process based on P-tau181 and other biomarker levels. Results Over 6000 metabolomic features were measured with high accuracy. First principal component (PC) of lysophosphatidylcholines (lysoPC) that bind to or interact with docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and arachidonic acid (AHA) was associated with decreased risk of AD (OR = 0.91 [0.89-0.96], p = 2e-04). Association was restricted to individuals without an APOE ε4 allele (OR = 0.89 [0.84-0.94], p = 8.7e-05). Among individuals carrying at least one APOE ε4 allele, PC4 of lysoPCs moderately increased risk of AD (OR = 1.37 [1.16-1.6], p = 1e-04). Essential amino acids including tyrosine metabolism pathways were enriched among metabolites associated with P-tau181 levels and heparan and keratan sulfate degradation pathways were associated with Aβ42/Aβ40 ratio. Conclusions Unbiased metabolic profiling can identify critical metabolites and pathways associated with β-amyloid and phosphotau pathology. We also observed an APOE-ε4 dependent association of lysoPCs with AD and biologically based diagnostic criteria may aid in the identification of unique pathogenic mechanisms.
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Affiliation(s)
| | - Vrinda Kalia
- Columbia University Mailman School of Public Health
| | | | | | | | - Annie Lee
- Center for Translational & Computational Neuroimmunology
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Nielsen JE, Andreassen T, Gotfredsen CH, Olsen DA, Vestergaard K, Madsen JS, Kristensen SR, Pedersen S. Serum metabolic signatures for Alzheimer's Disease reveal alterations in amino acid composition: a validation study. Metabolomics 2024; 20:12. [PMID: 38180611 PMCID: PMC10770204 DOI: 10.1007/s11306-023-02078-8] [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: 09/09/2023] [Accepted: 12/06/2023] [Indexed: 01/06/2024]
Abstract
INTRODUCTION Alzheimer's Disease (AD) is complex and novel approaches are urgently needed to aid in diagnosis. Blood is frequently used as a source for biomarkers; however, its complexity prevents proper detection. The analytical power of metabolomics, coupled with statistical tools, can assist in reducing this complexity. OBJECTIVES Thus, we sought to validate a previously proposed panel of metabolic blood-based biomarkers for AD and expand our understanding of the pathological mechanisms involved in AD that are reflected in the blood. METHODS In the validation cohort serum and plasma were collected from 25 AD patients and 25 healthy controls. Serum was analysed for metabolites using nuclear magnetic resonance (NMR) spectroscopy, while plasma was tested for markers of neuronal damage and AD hallmark proteins using single molecule array (SIMOA). RESULTS The diagnostic performance of the metabolite biomarker panel was confirmed using sparse-partial least squares discriminant analysis (sPLS-DA) with an area under the curve (AUC) of 0.73 (95% confidence interval: 0.59-0.87). Pyruvic acid and valine were consistently reduced in the discovery and validation cohorts. Pathway analysis of significantly altered metabolites in the validation set revealed that they are involved in branched-chain amino acids (BCAAs) and energy metabolism (glycolysis and gluconeogenesis). Additionally, strong positive correlations were observed for valine and isoleucine between cerebrospinal fluid p-tau and t-tau. CONCLUSIONS Our proposed panel of metabolites was successfully validated using a combined approach of NMR and sPLS-DA. It was discovered that cognitive-impairment-related metabolites belong to BCAAs and are involved in energy metabolism.
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Affiliation(s)
- Jonas Ellegaard Nielsen
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
| | - Trygve Andreassen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Central staff, St. Olavs Hospital HF, 7006, Trondheim, Norway
| | | | - Dorte Aalund Olsen
- Department of Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | | | - Jonna Skov Madsen
- Department of Biochemistry and Immunology, Lillebaelt Hospital, University Hospital of Southern Denmark, Vejle, Denmark
- Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark
| | - Søren Risom Kristensen
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Shona Pedersen
- Department of Basic Medical Science, College of Medicine, Qatar University, QU Health, Doha, Qatar.
- College of Medicine, Department of Basic Medical Science, Qatar University, 2713, Doha, Qatar.
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10
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Snytnikova O, Telegina D, Savina E, Tsentalovich Y, Kolosova N. Quantitative Metabolomic Analysis of the Rat Hippocampus: Effects of Age and of the Development of Alzheimer's Disease-Like Pathology. J Alzheimers Dis 2024; 99:S327-S344. [PMID: 37980669 DOI: 10.3233/jad-230706] [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: 11/21/2023]
Abstract
Background Alzheimer's disease (AD) is the most common type of dementia in the elderly. Incomplete knowledge about the pathogenesis of this disease determines the absence of medications for the treatment of AD today. Animal models can provide the necessary knowledge to understand the mechanisms of biochemical processes occurring in the body in health and disease. Objective To identify the most promising metabolomic predictors and biomarkers reflecting metabolic disorders in the development of AD signs. Methods High resolution 1H NMR spectroscopy was used for quantitative metabolomic profiling of the hippocampus of OXYS rats, an animal model of sporadic AD, which demonstrates key characteristics of this disease. Animals were examined during several key periods: 20 days group corresponds to the "preclinical" period preceding the development of AD signs, during their manifestation (3 months), and active progression (18 months). Wistar rats of the same age were used as control. Results Ranges of variation and mean concentrations were established for 59 brain metabolites. The main metabolic patterns during aging, which are involved in energy metabolism pathways and metabolic shifts of neurotransmitters, have been established. Of particular note is the significant increase of scyllo-inositol and decrease of hypotaurine in the hippocampus of OXYS rats as compared to Wistars for all studied age groups. Conclusions We suggest that the accumulation of scyllo-inositol and the reduction of hypotaurine in the brain, even at an early age, can be considered as predictors and potential biomarkers of the development of AD signs in OXYS rats and, probably, in humans.
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Affiliation(s)
- Olga Snytnikova
- International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Darya Telegina
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Ekaterina Savina
- International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Yuri Tsentalovich
- International Tomography Center, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
| | - Nataliya Kolosova
- The Federal Research Center Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
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11
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Sandau US, Magaña SM, Costa J, Nolan JP, Ikezu T, Vella LJ, Jackson HK, Moreira LR, Palacio PL, Hill AF, Quinn JF, Van Keuren‐Jensen KR, McFarland TJ, Palade J, Sribnick EA, Su H, Vekrellis K, Coyle B, Yang Y, Falcón‐Perez JM, Nieuwland R, Saugstad JA. Recommendations for reproducibility of cerebrospinal fluid extracellular vesicle studies. J Extracell Vesicles 2024; 13:e12397. [PMID: 38158550 PMCID: PMC10756860 DOI: 10.1002/jev2.12397] [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: 06/30/2023] [Revised: 11/09/2023] [Accepted: 11/21/2023] [Indexed: 01/03/2024] Open
Abstract
Cerebrospinal fluid (CSF) is a clear, transparent fluid derived from blood plasma that protects the brain and spinal cord against mechanical shock, provides buoyancy, clears metabolic waste and transports extracellular components to remote sites in the brain. Given its contact with the brain and the spinal cord, CSF is the most informative biofluid for studies of the central nervous system (CNS). In addition to other components, CSF contains extracellular vesicles (EVs) that carry bioactive cargoes (e.g., lipids, nucleic acids, proteins), and that can have biological functions within and beyond the CNS. Thus, CSF EVs likely serve as both mediators of and contributors to communication in the CNS. Accordingly, their potential as biomarkers for CNS diseases has stimulated much excitement for and attention to CSF EV research. However, studies on CSF EVs present unique challenges relative to EV studies in other biofluids, including the invasive nature of CSF collection, limited CSF volumes and the low numbers of EVs in CSF as compared to plasma. Here, the objectives of the International Society for Extracellular Vesicles CSF Task Force are to promote the reproducibility of CSF EV studies by providing current reporting and best practices, and recommendations and reporting guidelines, for CSF EV studies. To accomplish this, we created and distributed a world-wide survey to ISEV members to assess methods considered 'best practices' for CSF EVs, then performed a detailed literature review for CSF EV publications that was used to curate methods and resources. Based on responses to the survey and curated information from publications, the CSF Task Force herein provides recommendations and reporting guidelines to promote the reproducibility of CSF EV studies in seven domains: (i) CSF Collection, Processing, and Storage; (ii) CSF EV Separation/Concentration; (iii) CSF EV Size and Number Measurements; (iv) CSF EV Protein Studies; (v) CSF EV RNA Studies; (vi) CSF EV Omics Studies and (vii) CSF EV Functional Studies.
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Affiliation(s)
- Ursula S. Sandau
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Setty M. Magaña
- Center for Clinical and Translational Research, Abigail Wexner Research InstituteNationwide Children's HospitalColumbusOhioUSA
| | - Júlia Costa
- Instituto de Tecnologia Química e Biológica António XavierUniversidade Nova de Lisboa, Avenida da RepúblicaOeirasPortugal
| | - John P. Nolan
- Scintillon Institute for Biomedical and Bioenergy ResearchSan DiegoCaliforniaUSA
| | - Tsuneya Ikezu
- Department of NeuroscienceMayo Clinic FloridaJacksonvilleFloridaUSA
| | - Laura J. Vella
- Department of Surgery, The Royal Melbourne HospitalThe University of MelbourneParkvilleVictoriaAustralia
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkville, MelbourneVictoriaAustralia
| | - Hannah K. Jackson
- Department of PathologyUniversity of CambridgeCambridgeUK
- Exosis, Inc.Palm BeachFloridaUSA
| | - Lissette Retana Moreira
- Department of Parasitology, Faculty of MicrobiologyUniversity of Costa RicaSan JoséCosta Rica, Central America
- Centro de Investigación en Enfermedades TropicalesUniversity of Costa RicaSan JoséCosta Rica, Central America
| | - Paola Loreto Palacio
- Center for Clinical and Translational Research, Abigail Wexner Research InstituteNationwide Children's HospitalColumbusOhioUSA
| | - Andrew F. Hill
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
- Department of Biochemistry and Chemistry, La Trobe Institute for Molecular ScienceLa Trobe UniversityBundooraVictoriaAustralia
| | - Joseph F. Quinn
- Department of NeurologyOregon Health & Science UniversityPortlandOregonUSA
- Portland VA Medical CenterPortlandOregonUSA
| | | | - Trevor J. McFarland
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
| | - Joanna Palade
- Neurogenomics DivisionTranslational Genomics Research InstitutePhoenixArizonaUSA
| | - Eric A. Sribnick
- Department of NeurosurgeryNationwide Children's Hospital, The Ohio State UniversityColumbusOhioUSA
| | - Huaqi Su
- The Florey Institute of Neuroscience and Mental HealthUniversity of MelbourneParkville, MelbourneVictoriaAustralia
| | | | - Beth Coyle
- Children's Brain Tumour Research Centre, School of MedicineUniversity of Nottingham Biodiscovery Institute, University of NottinghamNottinghamNottinghamshireUK
| | - You Yang
- Scintillon Institute for Biomedical and Bioenergy ResearchSan DiegoCaliforniaUSA
| | - Juan M. Falcón‐Perez
- Exosomes Laboratory, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- Metabolomics Platform, Center for Cooperative Research in BiosciencesBasque Research and Technology AllianceDerioSpain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y DigestivasMadridSpain
- Ikerbasque, Basque Foundation for ScienceBilbaoSpain
| | - Rienk Nieuwland
- Laboratory of Experimental Clinical Chemistry, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
- Amsterdam Vesicle Center, Amsterdam University Medical Centers, Location AMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Julie A. Saugstad
- Department of Anesthesiology & Perioperative MedicineOregon Health & Science UniversityPortlandOregonUSA
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12
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Rasool A, Manzoor R, Ullah K, Afzal R, Ul-Haq A, Imran H, Kaleem I, Akhtar T, Farrukh A, Hameed S, Bashir S. Oxidative Stress and Dopaminergic Metabolism: A Major PD Pathogenic Mechanism and Basis of Potential Antioxidant Therapies. CNS & NEUROLOGICAL DISORDERS DRUG TARGETS 2024; 23:852-864. [PMID: 37303175 DOI: 10.2174/1871527322666230609141519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 02/19/2023] [Accepted: 03/14/2023] [Indexed: 06/13/2023]
Abstract
Reactive oxygen species (ROS)-induced oxidative stress triggers the vicious cycle leading to the degeneration of dopaminergic neurons in the nigra pars compacta. ROS produced during the metabolism of dopamine is immediately neutralized by the endogenous antioxidant defense system (EADS) under physiological conditions. Aging decreases the vigilance of EADS and makes the dopaminergic neurons more vulnerable to oxidative stress. As a result, ROS left over by EADS oxidize the dopamine-derived catechols and produces a number of reactive dopamine quinones, which are precursors to endogenous neurotoxins. In addition, ROS causes lipid peroxidation, uncoupling of the electron transport chain, and DNA damage, which lead to mitochondrial dysfunction, lysosomal dysfunction, and synaptic dysfunction. The mutations in genes such as DNAJC6, SYNJ1, SH3GL2, LRRK2, PRKN, and VPS35 caused by ROS have been associated with synaptic dysfunction and the pathogenesis of Parkinson's disease (PD). The available drugs that are used against PD can only delay the progression of the disease, but they produce various side effects. Through their antioxidant activity, flavonoids can substantiate the EADS of dopaminergic neurons and disrupt the vicious cycle incepted by oxidative stress. In this review, we show how the oxidative metabolism of dopamine generates ROS and dopamine-quinones, which then exert unrestrained OS, causing mutations in several genes involved in the proper functioning of mitochondrion, synapse, and lysosome. Besides, we also present some examples of approved drugs used for the treatment of PD, therapies in the clinical trial phase, and an update on the flavonoids that have been tested to boost the EADS of dopaminergic neurons.
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Affiliation(s)
- Aamir Rasool
- Institute for Synthetic Biosystem, School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing 100081, PR China
- Institute of Biochemistry, University of Balochistan, Quetta 87300, Pakistan
| | - Robina Manzoor
- Beijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceuticals, School of Life Science, Beijing Institute of Technology, Beijing 100081, PR China
- Faculty of Marine Sciences, Lasbella University of Agriculture Water and Marine Sciences, Uthal 90050, Pakistan
| | - Kaleem Ullah
- Department of Microbiology, University of Balochistan, Quetta 87300, Pakistan
| | - Ramsha Afzal
- Department of Brain Science, Ajou University School of Medicine, Suwon 16499, Republic of Korea
| | - Asad Ul-Haq
- Division of Rheumatology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Hadia Imran
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | - Imdad Kaleem
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | | | - Anum Farrukh
- Department of General Medicine, Fauji Foundation Hospital (FFH), Rawalpindi, Pakistan
| | - Sahir Hameed
- National Institute for Genomics and Advanced Biotechnology (N.I.G.A.B.) National Agriculture Research Centre Islamabad, Pakistan
| | - Shahid Bashir
- Neurosciences Center, King Fahad Specialist Hospital Dammam, P.O. Box 15215, Dammam 31444, Saudi Arabia
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13
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Wang Y, Sun Y, Wang Y, Jia S, Qiao Y, Zhou Z, Shao W, Zhang X, Guo J, Song X, Niu X, Peng D. Urine metabolomics phenotyping and urinary biomarker exploratory in mild cognitive impairment and Alzheimer's disease. Front Aging Neurosci 2023; 15:1273807. [PMID: 38187356 PMCID: PMC10768723 DOI: 10.3389/fnagi.2023.1273807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 09/20/2023] [Indexed: 01/09/2024] Open
Abstract
Introduction Alzheimer's disease is a prevalent disease with a heavy global burden and is suggested to be a metabolic disease in the brain in recent years. The metabolome is considered to be the most promising phenotype which reflects changes in genetic, transcript, and protein profiles as well as environmental effects. Aiming to obtain a comprehensive understanding and convenient diagnosis of MCI and AD from another perspective, researchers are working on AD metabolomics. Urine is more convenient which could reflect the change of disease at an earlier stage. Thus, we conducted a cross-sectional study to investigate novel diagnostic panels. Methods We first enrolled participants from China-Japan Friendship Hospital from April 2022 to November 2022, collected urine samples and conducted an LC-MS/MS analysis. In parallel, clinical data were collected and clinical examinations were performed. After statistical and bioinformatics analyzes, significant risk factors and differential urinary metabolites were determined. We attempt to investigate diagnostic panels based on machine learning including LASSO and SVM. Results Fifty-seven AD patients, 43 MCI patients and 62 CN subjects were enrolled. A total of 2,140 metabolites were identified among which 125 significantly differed between the AD and CN groups, including 46 upregulated ones and 79 downregulated ones. In parallel, there were 93 significant differential metabolites between the MCI and CN groups, including 23 upregulated ones and 70 downregulated ones. AD diagnostic panel (30 metabolites+ age + APOE) achieved an AUC of 0.9575 in the test set while MCI diagnostic panel (45 metabolites+ age + APOE) achieved an AUC of 0.7333 in the test set. Atropine, S-Methyl-L-cysteine-S-oxide, D-Mannose 6-phosphate (M6P), Spiculisporic Acid, N-Acetyl-L-methionine, 13,14-dihydro-15-keto-tetranor Prostaglandin D2, Pyridoxal 5'-Phosphate (PLP) and 17(S)-HpDHA were considered valuable for both AD and MCI diagnosis and defined as hub metabolites. Besides, diagnostic metabolites were weakly correlated with cognitive functions. Discussion In conclusion, the procedure is convenient, non-invasive, and useful for diagnosis, which could assist physicians in differentiating AD and MCI from CN. Atropine, M6P and PLP were evidence-based hub metabolites in AD.
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Affiliation(s)
- Yuye Wang
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Yu Sun
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Yu Wang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Shuhong Jia
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Yanan Qiao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zhi Zhou
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Wen Shao
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xiangfei Zhang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Jing Guo
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Xincheng Song
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Xiaoqian Niu
- Department of Neurology, Xijing Hospital, Fourth Military Medical University, Xi’an, China
| | - Dantao Peng
- China-Japan Friendship Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
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14
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Milos T, Rojo D, Nedic Erjavec G, Konjevod M, Tudor L, Vuic B, Svob Strac D, Uzun S, Mimica N, Kozumplik O, Barbas C, Zarkovic N, Pivac N, Nikolac Perkovic M. Metabolic profiling of Alzheimer's disease: Untargeted metabolomics analysis of plasma samples. Prog Neuropsychopharmacol Biol Psychiatry 2023; 127:110830. [PMID: 37454721 DOI: 10.1016/j.pnpbp.2023.110830] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/07/2023] [Accepted: 07/11/2023] [Indexed: 07/18/2023]
Abstract
Alzheimer's disease (AD) is often not recognized or is diagnosed very late, which significantly reduces the effectiveness of available pharmacological treatments. Metabolomic analyzes have great potential for improving existing knowledge about the pathogenesis and etiology of AD and represent a novel approach towards discovering biomarkers that could be used for diagnosis, prognosis, and therapy monitoring. In this study, we applied the untargeted metabolomic approach to investigate the changes in biochemical pathways related to AD pathology. We used gas chromatography and liquid chromatography coupled to mass spectrometry (GC-MS and LC-MS, respectively) to identify metabolites whose levels have changed in subjects with AD diagnosis (N = 40) compared to healthy controls (N = 40) and individuals with mild cognitive impairment (MCI, N = 40). The GC-MS identified significant differences between groups in levels of metabolites belonging to the classes of benzene and substituted derivatives, carboxylic acids and derivatives, fatty acyls, hydroxy acids and derivatives, keto acids and derivatives, and organooxygen compounds. Most of the compounds identified by the LC-MS were various fatty acyls, glycerolipids and glycerophospholipids. All of these compounds were decreased in AD patients and in subjects with MCI compared to healthy controls. The results of the study indicate disturbed metabolism of lipids and amino acids and an imbalance of metabolites involved in energy metabolism in individuals diagnosed with AD, compared to healthy controls and MCI subjects.
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Affiliation(s)
- Tina Milos
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
| | - David Rojo
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo CEU, CEU Universities Madrid, Spain.
| | | | - Marcela Konjevod
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
| | - Lucija Tudor
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
| | - Barbara Vuic
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
| | | | - Suzana Uzun
- School of Medicine, University of Zagreb, Zagreb, Croatia; Department for Biological Psychiatry and Psychogeriatrics, University Psychiatric Hospital Vrapče, Zagreb, Croatia.
| | - Ninoslav Mimica
- Department for Biological Psychiatry and Psychogeriatrics, University Psychiatric Hospital Vrapče, Zagreb, Croatia.
| | - Oliver Kozumplik
- Department for Biological Psychiatry and Psychogeriatrics, University Psychiatric Hospital Vrapče, Zagreb, Croatia.
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo CEU, CEU Universities Madrid, Spain.
| | - Neven Zarkovic
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia.
| | - Nela Pivac
- Division of Molecular Medicine, Ruder Boskovic Institute, Zagreb, Croatia; University of Applied Sciences Hrvatsko Zagorje Krapina, Krapina, Croatia.
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15
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Akyol S, Ashrafi N, Yilmaz A, Turkoglu O, Graham SF. Metabolomics: An Emerging "Omics" Platform for Systems Biology and Its Implications for Huntington Disease Research. Metabolites 2023; 13:1203. [PMID: 38132886 PMCID: PMC10744751 DOI: 10.3390/metabo13121203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/29/2023] [Accepted: 12/02/2023] [Indexed: 12/23/2023] Open
Abstract
Huntington's disease (HD) is a progressive, fatal neurodegenerative disease characterized by motor, cognitive, and psychiatric symptoms. The precise mechanisms of HD progression are poorly understood; however, it is known that there is an expansion of the trinucleotide cytosine-adenine-guanine (CAG) repeat in the Huntingtin gene. Important new strategies are of paramount importance to identify early biomarkers with predictive value for intervening in disease progression at a stage when cellular dysfunction has not progressed irreversibly. Metabolomics is the study of global metabolite profiles in a system (cell, tissue, or organism) under certain conditions and is becoming an essential tool for the systemic characterization of metabolites to provide a snapshot of the functional and pathophysiological states of an organism and support disease diagnosis and biomarker discovery. This review briefly highlights the historical progress of metabolomic methodologies, followed by a more detailed review of the use of metabolomics in HD research to enable a greater understanding of the pathogenesis, its early prediction, and finally the main technical platforms in the field of metabolomics.
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Affiliation(s)
- Sumeyya Akyol
- NX Prenatal Inc., 4350 Brownsboro Road, Louisville KY 40207, USA;
| | - Nadia Ashrafi
- Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA; (N.A.); (A.Y.); (O.T.)
| | - Ali Yilmaz
- Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA; (N.A.); (A.Y.); (O.T.)
- Metabolomics Division, Beaumont Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USA
| | - Onur Turkoglu
- Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA; (N.A.); (A.Y.); (O.T.)
| | - Stewart F. Graham
- Department of Obstetrics and Gynecology, Oakland University-William Beaumont School of Medicine, 318 Meadow Brook Road, Rochester, MI 48309, USA; (N.A.); (A.Y.); (O.T.)
- Metabolomics Division, Beaumont Research Institute, 3811 W. 13 Mile Road, Royal Oak, MI 48073, USA
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16
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Xu K, Zhang L, Wang T, Ren Z, Yu T, Zhang Y, Zhao X. Untargeted metabolomics reveals dynamic changes in metabolic profiles of rat supraspinatus tendon at three different time points after diabetes induction. Front Endocrinol (Lausanne) 2023; 14:1292103. [PMID: 38053726 PMCID: PMC10694349 DOI: 10.3389/fendo.2023.1292103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/01/2023] [Indexed: 12/07/2023] Open
Abstract
Objective To investigate the dynamic changes of metabolite composition in rat supraspinatus tendons at different stages of diabetes by untargeted metabolomics analysis. Methods A total of 80 Sprague-Dawley rats were randomly divided into normal (NG, n = 20) and type 2 diabetes mellitus groups (T2DM, n = 60) and subdivided into three groups according to the duration of diabetes: T2DM-4w, T2DM-12w, and T2DM-24w groups; the duration was calculated from the time point of T2DM rat model establishment. The three comparison groups were set up in this study, T2DM-4w group vs. NG, T2DM-12w group vs. T2DM-4w group, and T2DM-24w group vs. T2DM-12w group. The metabolite profiles of supraspinatus tendon were obtained using tandem mass spectrometry. Metabolomics multivariate statistics were used for metabolic data analysis and differential metabolite (DEM) determination. The intersection of the three comparison groups' DEMs was defined as key metabolites that changed consistently in the supraspinatus tendon after diabetes induction; then, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed. Results T2DM-4w group vs. NG, T2DM-12w group vs. T2DM-4w group, and T2DM-24w group vs. T2DM-12w group detected 94 (86 up-regulated and 8 down-regulated), 36 (13 up-regulated and 23 down-regulated) and 86 (24 up-regulated and 62 down-regulated) DEMs, respectively. Seven key metabolites of sustained changes in the supraspinatus tendon following induction of diabetes include D-Lactic acid, xanthine, O-acetyl-L-carnitine, isoleucylproline, propoxycarbazone, uric acid, and cytidine, which are the first identified biomarkers of the supraspinatus tendon as it progresses through the course of diabetes. The results of KEGG pathway enrichment analysis showed that the main pathway of supraspinatus metabolism affected by diabetes (p < 0.05) was purine metabolism. The results of the KEGG metabolic pathway vs. DEMs correlation network graph revealed that uric acid and xanthine play a role in more metabolic pathways. Conclusion Untargeted metabolomics revealed the dynamic changes of metabolite composition in rat supraspinatus tendons at different stages of diabetes, and the newly discovered seven metabolites, especially uric acid and xanthine, may provide novel research to elucidate the mechanism of diabetes-induced tendinopathy.
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Affiliation(s)
- Kuishuai Xu
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Liang Zhang
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Tianrui Wang
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zhongkai Ren
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Tengbo Yu
- Department of Sports Medicine, Qingdao Municipal Hospital, Qingdao, Shandong, China
| | - Yingze Zhang
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xia Zhao
- Department of Sports Medicine, Affiliated Hospital of Qingdao University, Qingdao, China
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17
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Cozachenco D, Zimmer ER, Lourenco MV. Emerging concepts towards a translational framework in Alzheimer's disease. Neurosci Biobehav Rev 2023; 152:105246. [PMID: 37236385 DOI: 10.1016/j.neubiorev.2023.105246] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/20/2023] [Accepted: 05/22/2023] [Indexed: 05/28/2023]
Abstract
Over the past decades, significant efforts have been made to understand the precise mechanisms underlying the pathogenesis of Alzheimer's disease (AD), the most common cause of dementia. However, clinical trials targeting AD pathological hallmarks have consistently failed. Refinement of AD conceptualization, modeling, and assessment is key to developing successful therapies. Here, we review critical findings and discuss emerging ideas to integrate molecular mechanisms and clinical approaches in AD. We further propose a refined workflow for animal studies incorporating multimodal biomarkers used in clinical studies - delineating critical paths for drug discovery and translation. Addressing unresolved questions with the proposed conceptual and experimental framework may accelerate the development of effective disease-modifying strategies for AD.
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Affiliation(s)
- Danielle Cozachenco
- Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Eduardo R Zimmer
- Department of Pharmacology, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil; Graduate Program in Biological Sciences: Biochemistry (PPGBioq), UFRGS, Porto Alegre, RS, Brazil; Pharmacology and Therapeutics (PPGFT), UFRGS, Porto Alegre, RS, Brazil; McGill Centre for Studies in Aging, McGill University, Montreal, Canada; Brain Institute of Rio Grande do Sul, PUCRS, Porto Alegre, Brazil.
| | - Mychael V Lourenco
- Institute of Medical Biochemistry Leopoldo de Meis, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
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Kalia V, Reyes-Dumeyer D, Dubey S, Nandakumar R, Lee AJ, Lantigua R, Medrano M, Rivera D, Honig LS, Mayeux R, Miller GW, Vardarajan BN. Lysophosphatidylcholines are associated with P-tau181 levels in early stages of Alzheimer's Disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.08.24.23294581. [PMID: 37662203 PMCID: PMC10473810 DOI: 10.1101/2023.08.24.23294581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Background We investigated systemic biochemical changes in Alzheimer's disease (AD) by investigating the relationship between circulating plasma metabolites and both clinical and biomarker-assisted diagnosis of AD. Methods We used an untargeted approach with liquid chromatography coupled to high-resolution mass spectrometry to measure exogenous and endogenous small molecule metabolites in plasma from 150 individuals clinically diagnosed with AD and 567 age-matched elderly without dementia of Caribbean Hispanic ancestry. Plasma biomarkers of AD were also measured including P-tau181, Aβ40, Aβ42, total tau, neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP). Association of individual and co-expressed modules of metabolites were tested with the clinical diagnosis of AD, as well as biologically-defined AD pathological process based on P-tau181 and other biomarker levels. Results Over 4000 metabolomic features were measured with high accuracy. First principal component (PC) of lysophosphatidylcholines (lysoPC) that bind to or interact with docosahexaenoic acid (DHA), eicosapentaenoic acid (EPA) and arachidonic acid (AHA) was associated with decreased risk of AD (OR=0.91 [0.89-0.96], p=2e-04). Restricted to individuals without an APOE ε4 allele (OR=0.89 [0.84-0.94], p= 8.7e-05), the association remained. Among individuals carrying at least one APOE ε4 allele, PC4 of lysoPCs moderately increased risk of AD (OR=1.37 [1.16-1.6], p=1e-04). Essential amino acids including tyrosine metabolism pathways were enriched among metabolites associated with P-tau181 levels and heparan and keratan sulfate degradation pathways were associated with Aβ42/Aβ40 ratio reflecting different pathways enriched in early and middle stages of disease. Conclusions Our findings indicate that unbiased metabolic profiling can identify critical metabolites and pathways associated with β-amyloid and phosphotau pathology. We also observed an APOE ε4 dependent association of lysoPCs with AD and that biologically-based diagnostic criteria may aid in the identification of unique pathogenic mechanisms.
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Affiliation(s)
- Vrinda Kalia
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
| | - Dolly Reyes-Dumeyer
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
| | - Saurabh Dubey
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
| | - Renu Nandakumar
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
| | - Annie J. Lee
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
| | - Rafael Lantigua
- Department of Medicine, College of Physicians and Surgeons, Columbia University, and the New York Presbyterian Hospital. 630 West 168 Street, New York, NY 10032
| | - Martin Medrano
- School of Medicine, Pontificia Universidad Católica Madre y Maestra, Santiago, Dominican Republic
| | - Diones Rivera
- Department of Neurosurgery, CEDIMAT, Plaza de la Salud, Santo Domingo, Dominican Republic
| | - Lawrence S. Honig
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- Department of Neurology, College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital. 710 West 168 Street, New York, NY 10032
| | - Richard Mayeux
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- Department of Neurology, College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital. 710 West 168 Street, New York, NY 10032
- Department of Epidemiology, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
| | - Gary W. Miller
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
- Department of Epidemiology, Mailman School of Public Health, Columbia University. 722 West 168 Street, New York, NY 10032
| | - Badri N. Vardarajan
- Taub Institute for Research on Alzheimer’s Disease and the Aging Brain, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- The Gertrude H. Sergievsky Center, College of Physicians and Surgeons, Columbia University. 630 West 168 Street, New York, NY 10032
- Department of Neurology, College of Physicians and Surgeons, Columbia University and the New York Presbyterian Hospital. 710 West 168 Street, New York, NY 10032
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Ma C, Liao K, Wang J, Li T, Liu L. L-Arginine, as an essential amino acid, is a potential substitute for treating COPD via regulation of ROS/NLRP3/NF-κB signaling pathway. Cell Biosci 2023; 13:152. [PMID: 37596640 PMCID: PMC10436497 DOI: 10.1186/s13578-023-00994-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 02/20/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUNDS Chronic obstructive pulmonary disease (COPD) is a frequent and common disease in clinical respiratory medicine and its mechanism is unclear. The purpose of this study was to find the new biomarkers of COPD and elucidate its role in the pathogenesis of COPD. Analysis of metabolites in plasma of COPD patients were performed by ultra-high performance liquid chromatography (UPLC) and quadrupole time-of-flight mass spectrometry (TOF-MS). The differential metabolites were analyzed and identified by multivariate analysis between COPD patients and healthy people. The role and mechanisms of the differential biomarkers in COPD were verified with COPD rats, arginosuccinate synthetase 1 (ASS-l) KO mice and bronchial epithelial cells (BECs). Meanwhile, whether the differential biomarkers can be the potential treatment targets for COPD was also investigated. 85 differentials metabolites were identified between COPD patients and healthy people by metabonomic. RESULTS L-Arginine (LA) was the most obvious differential metabolite among the 85 metabolites. Compare with healthy people, the level of LA was markedly decreased in serum of COPD patients. It was found that LA had protective effects on COPD with in vivo and in vitro experiments. Silencing Ass-1, which regulates LA metabolism, and α-methy-DL-aspartic (NHLA), an Ass-1 inhibitor, canceled the protective effect of LA on COPD. The mechanism of LA in COPD was related to the inhibition of ROS/NLRP3/NF-κB signaling pathway. It was also found that exogenous LA significantly improved COPD via regulation of ROS/NLRP3/NF-κB signaling pathway. L-Arginine (LA) as a key metabolic marker is identified in COPD patients and has a protective effect on COPD via regulation of ROS/NLRP3/NF-κB signaling pathway. CONCLUSION LA may be a novel target for the treatment of COPD and also a potential substitute for treating COPD.
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Affiliation(s)
- Chunhua Ma
- State Key Laboratory of Trauma, Burns and Combined Injury, Shock and Tranfusion Research, Department of Army Medical Center, Army Medical University, Chongqing, 400042, People's Republic of China
- The Affiliated Nanjing Hospital of Nanjing University of Chinese Medicine, Nanjing, 210001, China
| | - Kexi Liao
- Institute of Hepatobiliary Surgery, First Affiliated Hospital, Army Medical University, Shapingba District, Gaotanyan Road 30, Chongqing, 400038, China
| | - Jing Wang
- School of Biology and Food Engineering, Institute of Pharmaceutical Biotechnology, Suzhou University, Anhui, China
| | - Tao Li
- State Key Laboratory of Trauma, Burns and Combined Injury, Shock and Tranfusion Research, Department of Army Medical Center, Army Medical University, Chongqing, 400042, People's Republic of China.
| | - Liangming Liu
- State Key Laboratory of Trauma, Burns and Combined Injury, Shock and Tranfusion Research, Department of Army Medical Center, Army Medical University, Chongqing, 400042, People's Republic of China.
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20
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Shi L, Xu J, Green R, Wretlind A, Homann J, Buckley NJ, Tijms BM, Vos SJB, Lill CM, Kate MT, Engelborghs S, Sleegers K, Frisoni GB, Wallin A, Lleó A, Popp J, Martinez-Lage P, Streffer J, Barkhof F, Zetterberg H, Visser PJ, Lovestone S, Bertram L, Nevado-Holgado AJ, Proitsi P, Legido-Quigley C. Multiomics profiling of human plasma and cerebrospinal fluid reveals ATN-derived networks and highlights causal links in Alzheimer's disease. Alzheimers Dement 2023; 19:3350-3364. [PMID: 36790009 DOI: 10.1002/alz.12961] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 12/07/2022] [Accepted: 12/20/2022] [Indexed: 02/16/2023]
Abstract
INTRODUCTION This study employed an integrative system and causal inference approach to explore molecular signatures in blood and CSF, the amyloid/tau/neurodegeneration [AT(N)] framework, mild cognitive impairment (MCI) conversion to Alzheimer's disease (AD), and genetic risk for AD. METHODS Using the European Medical Information Framework (EMIF)-AD cohort, we measured 696 proteins in cerebrospinal fluid (n = 371), 4001 proteins in plasma (n = 972), 611 metabolites in plasma (n = 696), and genotyped whole-blood (7,778,465 autosomal single nucleotide epolymorphisms, n = 936). We investigated associations: molecular modules to AT(N), module hubs with AD Polygenic Risk scores and APOE4 genotypes, molecular hubs to MCI conversion and probed for causality with AD using Mendelian randomization (MR). RESULTS AT(N) framework associated with protein and lipid hubs. In plasma, Proprotein Convertase Subtilisin/Kexin Type 7 showed evidence for causal associations with AD. AD was causally associated with Reticulocalbin 2 and sphingomyelins, an association driven by the APOE isoform. DISCUSSION This study reveals multi-omics networks associated with AT(N) and causal AD molecular candidates.
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Affiliation(s)
- Liu Shi
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Jin Xu
- Institute of Pharmaceutical Science, King's College London, London, UK
| | - Rebecca Green
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- UK National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre, South London and Maudsley Trust, London, UK
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, UK
| | | | - Jan Homann
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
| | - Noel J Buckley
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Betty M Tijms
- Alzheimer Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Stephanie J B Vos
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centrum Limburg, Maastricht University, Maastricht, the Netherlands
| | - Christina M Lill
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
- Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany
- Ageing Epidemiology Research Unit (AGE), School of Public Health, Imperial College London, London, UK
| | - Mara Ten Kate
- Alzheimer Center, VU University Medical Center, Amsterdam, the Netherlands
| | - Sebastiaan Engelborghs
- Reference Center for Biological Markers of Dementia (BIODEM), Institute Born-Bunge, University of Antwerp, Antwerp, Belgium
- Department of Neurology, UZ Brussel and Center for Neurociences (C4N), Vrije Universiteit Brussel, Brussels, Belgium
| | - Kristel Sleegers
- Complex Genetics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Institute Born-Bunge, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Giovanni B Frisoni
- University of Geneva, Geneva, Switzerland
- IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Anders Wallin
- Institute of Neuroscience and Physiology, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Alberto Lleó
- Neurology Department, Centro de Investigación en Red en enfermedades neurodegenerativas (CIBERNED), Hospital Sant Pau, Barcelona, Spain
| | - Julius Popp
- University Hospital of Lausanne, Lausanne, Switzerland
- Department of Geriatric Psychiatry, University Hospital of Psychiatry and University of Zürich, Zürich, Switzerland
| | | | - Johannes Streffer
- AC Immune SA, formerly Janssen R&D, LLC. Beerse, Belgium at the time of study conduct, Lausanne, Switzerland
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherland
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Pieter Jelle Visser
- Alzheimer Center, VU University Medical Center, Amsterdam, the Netherlands
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centrum Limburg, Maastricht University, Maastricht, the Netherlands
| | - Simon Lovestone
- Department of Psychiatry, University of Oxford, Oxford, UK
- Janssen Medical (UK), High Wycombe, UK
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, University of Lübeck, Lübeck, Germany
- Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Petroula Proitsi
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Cristina Legido-Quigley
- Institute of Pharmaceutical Science, King's College London, London, UK
- Steno Diabetes Center Copenhagen, Gentofte, Denmark
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21
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Tian Q, Shardell MD, Kuo PL, Tanaka T, Simonsick EM, Moaddel R, Resnick SM, Ferrucci L. Plasma metabolomic signatures of dual decline in memory and gait in older adults. GeroScience 2023; 45:2659-2667. [PMID: 37052768 PMCID: PMC10651620 DOI: 10.1007/s11357-023-00792-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 04/04/2023] [Indexed: 04/14/2023] Open
Abstract
Older adults experiencing dual decline in memory and gait have greater dementia risk than those with memory or gait decline only, but mechanisms are unknown. Dual decline may indicate specific pathophysiological pathways to dementia which can be reflected by circulating metabolites. We compared longitudinal changes in plasma metabolite biomarkers of older adults with and without dual decline in the Baltimore Longitudinal Study of Aging (BLSA). Participants were grouped into 4 phenotypes based on annual rates of decline in verbal memory and gait speed: no decline in memory or gait, memory decline only, gait decline only, and dual decline. Repeated measures of plasma metabolomics were measured by biocrates p500 kit during the same time of memory and gait assessments. In BLSA, 18 metabolites differed across groups (q-value < 0.05). Metabolites differentially abundant were enriched for lysophosphatidylcholines (lysoPC C18:0,C16:0,C17:0,C18:1,C18:2), ceramides (d18:2/24:0,d16:1/24:0,d16:1/23:0), and amino acids (glycine) classes. Compared to no decline, the dual decline group showed greater declines in lysoPC C18:0, homoarginine synthesis, and the metabolite module containing mostly triglycerides, and showed a greater increase in indoleamine 2,3-dioxygenase (IDO) activity. Metabolites distinguishing dual decline and no decline groups were implicated in metabolic pathways of the aminoacyl-tRNA biosynthesis, valine, leucine and isoleucine biosynthesis, histidine metabolism, and sphingolipid metabolism. Older adults with dual decline exhibit the most extensive alterations in metabolic profiling of lysoPCs, ceramides, IDO activity, and homoarginine synthesis. Alterations in these metabolites may indicate mitochondrial dysfunction, compromised immunity, and elevated burden of cardiovascular and kidney pathology.
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Affiliation(s)
- Qu Tian
- Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Room 04B316, Baltimore, MD, 21224, USA.
| | | | - Pei-Lun Kuo
- Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Room 04B316, Baltimore, MD, 21224, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Room 04B316, Baltimore, MD, 21224, USA
| | - Eleanor M Simonsick
- Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Room 04B316, Baltimore, MD, 21224, USA
| | - Ruin Moaddel
- Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD, USA
| | - Susan M Resnick
- Laboratory of Behavioral Neuroscience, National Institute on Aging, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute On Aging, 251 Bayview Blvd., Suite 100, Room 04B316, Baltimore, MD, 21224, USA
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22
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Tan TH, Li SW, Chang CW, Chen YC, Liu YH, Ma JT, Chang CP, Liao PC. Rat Hair Metabolomics Analysis Reveals Perturbations of Unsaturated Fatty Acid Biosynthesis, Phenylalanine, and Arachidonic Acid Metabolism Pathways Are Associated with Amyloid-β-Induced Cognitive Deficits. Mol Neurobiol 2023; 60:4373-4395. [PMID: 37095368 PMCID: PMC10293421 DOI: 10.1007/s12035-023-03343-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 04/04/2023] [Indexed: 04/26/2023]
Abstract
Hair is a noninvasive valuable biospecimen for the long-term assessment of endogenous metabolic disturbance. Whether the hair is suitable for identifying biomarkers of the Alzheimer's disease (AD) process remains unknown. We aim to investigate the metabolism changes in hair after β-amyloid (Aβ1-42) exposure in rats using ultra-high-performance liquid chromatography-high-resolution mass spectrometry-based untargeted and targeted methods. Thirty-five days after Aβ1-42 induction, rats displayed significant cognitive deficits, and forty metabolites were changed, of which twenty belonged to three perturbed pathways: (1) phenylalanine metabolism and phenylalanine, tyrosine, and tryptophan biosynthesis-L-phenylalanine, phenylpyruvate, ortho-hydroxyphenylacetic acid, and phenyllactic acid are up-regulated; (2) arachidonic acid (ARA) metabolism-leukotriene B4 (LTB4), arachidonyl carnitine, and 5(S)-HPETE are upregulation, but ARA, 14,15-DiHETrE, 5(S)-HETE, and PGB2 are opposite; and (3) unsaturated fatty acid biosynthesis- eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), FA 18:3 + 1O, and FA 18:3 + 2O are downregulated. Linoleic acid metabolism belonging to the biosynthesis of unsaturated fatty acid includes the upregulation of 8-hydroxy-9,10-epoxystearic acid, 13-oxoODE, and FA 18:2 + 4O, and downregulation of 9(S)-HPODE and dihomo-γ-linolenic acid. In addition, cortisone and dehydroepiandrosterone belonging to steroid hormone biosynthesis are upregulated. These three perturbed metabolic pathways also correlate with cognitive impairment after Aβ1-42 stimulation. Furthermore, ARA, DHA, EPA, L-phenylalanine, and cortisone have been previously implicated in the cerebrospinal fluid of AD patients and show a similar changing trend in Aβ1-42 rats' hair. These data suggest hair can be a useful biospecimen that well reflects the expression of non-polar molecules under Aβ1-42 stimulation, and the five metabolites have the potential to serve as novel AD biomarkers.
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Affiliation(s)
- Tian-Hoe Tan
- Department of Emergency Medicine, Chi Mei Medical Center, Tainan, 710, Taiwan
- Department of Senior Services, Southern Taiwan University of Science and Technology, No.1, Nantai St., Yungkang Dist., Tainan, 710, Taiwan
| | - Shih-Wen Li
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70428, Taiwan
| | - Chih-Wei Chang
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70428, Taiwan
| | - Yuan-Chih Chen
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70428, Taiwan
| | - Yu-Hsuan Liu
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70428, Taiwan
| | - Jui-Ti Ma
- Department of Medical Research, Chi Mei Medical Center, No. 901, Zhonghua Rd., Yongkang Dist., Tainan, 710, Taiwan
| | - Ching-Ping Chang
- Department of Medical Research, Chi Mei Medical Center, No. 901, Zhonghua Rd., Yongkang Dist., Tainan, 710, Taiwan.
| | - Pao-Chi Liao
- Department of Environmental and Occupational Health, College of Medicine, National Cheng Kung University, 138 Sheng-Li Road, Tainan, 70428, Taiwan.
- Department of Food Safety/Hygiene and Risk Management, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
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Montagnani M, Bottalico L, Potenza MA, Charitos IA, Topi S, Colella M, Santacroce L. The Crosstalk between Gut Microbiota and Nervous System: A Bidirectional Interaction between Microorganisms and Metabolome. Int J Mol Sci 2023; 24:10322. [PMID: 37373470 DOI: 10.3390/ijms241210322] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
Several studies have shown that the gut microbiota influences behavior and, in turn, changes in the immune system associated with symptoms of depression or anxiety disorder may be mirrored by corresponding changes in the gut microbiota. Although the composition/function of the intestinal microbiota appears to affect the central nervous system (CNS) activities through multiple mechanisms, accurate epidemiological evidence that clearly explains the connection between the CNS pathology and the intestinal dysbiosis is not yet available. The enteric nervous system (ENS) is a separate branch of the autonomic nervous system (ANS) and the largest part of the peripheral nervous system (PNS). It is composed of a vast and complex network of neurons which communicate via several neuromodulators and neurotransmitters, like those found in the CNS. Interestingly, despite its tight connections to both the PNS and ANS, the ENS is also capable of some independent activities. This concept, together with the suggested role played by intestinal microorganisms and the metabolome in the onset and progression of CNS neurological (neurodegenerative, autoimmune) and psychopathological (depression, anxiety disorders, autism) diseases, explains the large number of investigations exploring the functional role and the physiopathological implications of the gut microbiota/brain axis.
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Affiliation(s)
- Monica Montagnani
- Department of Precision and Regenerative Medicine and Ionian Area-Section of Pharmacology, School of Medicine, University of Bari "Aldo Moro", Policlinico University Hospital of Bari, Piazza G. Cesare 11, 70124 Bari, Italy
| | - Lucrezia Bottalico
- School of Technical Medical Sciences, "Alexander Xhuvani" University of Elbasan, 3001-3006 Elbasan, Albania
| | - Maria Assunta Potenza
- Department of Precision and Regenerative Medicine and Ionian Area-Section of Pharmacology, School of Medicine, University of Bari "Aldo Moro", Policlinico University Hospital of Bari, Piazza G. Cesare 11, 70124 Bari, Italy
| | - Ioannis Alexandros Charitos
- Pneumology and Respiratory Rehabilitation Division, Maugeri Clinical Scientific Research Institutes (IRCCS), 70124 Bari, Italy
| | - Skender Topi
- School of Technical Medical Sciences, "Alexander Xhuvani" University of Elbasan, 3001-3006 Elbasan, Albania
| | - Marica Colella
- Interdisciplinary Department of Medicine, Microbiology and Virology Unit, School of Medicine, University of Bari "Aldo Moro", Piazza G. Cesare, 11, 70124 Bari, Italy
| | - Luigi Santacroce
- Interdisciplinary Department of Medicine, Microbiology and Virology Unit, School of Medicine, University of Bari "Aldo Moro", Piazza G. Cesare, 11, 70124 Bari, Italy
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24
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Kainuma M, Kawakatsu S, Kim JD, Ouma S, Iritani O, Yamashita KI, Ohara T, Hirano S, Suda S, Hamano T, Hieda S, Yasui M, Yoshiiwa A, Shiota S, Hironishi M, Wada-Isoe K, Sasabayashi D, Yamasaki S, Murata M, Funakoshi K, Hayashi K, Shirafuji N, Sasaki H, Kajimoto Y, Mori Y, Suzuki M, Ito H, Ono K, Tsuboi Y. Metabolic changes in the plasma of mild Alzheimer's disease patients treated with Hachimijiogan. Front Pharmacol 2023; 14:1203349. [PMID: 37377927 PMCID: PMC10292017 DOI: 10.3389/fphar.2023.1203349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 05/30/2023] [Indexed: 06/29/2023] Open
Abstract
Background: Alzheimer's disease (AD), the most prevalent form of dementia, is a debilitating, progressive neurodegeneration. Amino acids play a wide variety of physiological and pathophysiological roles in the nervous system, and their levels and disorders related to their synthesis have been related to cognitive impairment, the core feature of AD. Our previous multicenter trial showed that hachimijiogan (HJG), a traditional Japanese herbal medicine (Kampo), has an adjuvant effect for Acetylcholine estelase inhibitors (AChEIs) and that it delays the deterioration of the cognitive dysfunction of female patients with mild AD. However, there are aspects of the molecular mechanism(s) by which HJG improves cognitive dysfunction that remain unclear. Objectives: To elucidate through metabolomic analysis the mechanism(s) of HJG for mild AD based on changes in plasma metabolites. Methods: Sixty-seven patients with mild AD were randomly assigned to either an HJG group taking HJG extract 7.5 g/day in addition to AChEI or to a control group treated only with AChEI (HJG:33, Control:34). Blood samples were collected before, 3 months, and 6 months after the first drug administration. Comprehensive metabolomic analyses of plasma samples were done by optimized LC-MS/MS and GC-MS/MS methods. The web-based software MetaboAnalyst 5.0 was used for partial least square-discriminant analysis (PLS-DA) to visualize and compare the dynamics of changes in the concentrations of the identified metabolites. Results: The VIP (Variable Importance in Projection) score of the PLS-DA analysis of female participants revealed a significantly higher increase in plasma metabolite levels after HJG administration for 6 months than was seen in the control group. In univariate analysis, the aspartic acid level of female participants showed a significantly higher increase from baseline after HJG administration for 6 months when compared with the control group. Conclusion: Aspartic acid was a major contributor to the difference between the female HJG and control group participants of this study. Several metabolites were shown to be related to the mechanism of HJG effectiveness for mild AD.
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Affiliation(s)
- Mosaburo Kainuma
- Department of Japanese Oriental Medicine Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Shinobu Kawakatsu
- Aizu Medical Center, Department of Neuropsychiatry, Fukushima Medical University, Aizuwakamatsu, Japan
| | - Jun-Dal Kim
- Department of Research and Development, Division of Complex Biosystem Research (CBR), Institute of National Medicine (INM), University of Toyama, Toyama, Japan
| | - Shinji Ouma
- Department of Neurology, School of Medicine, Fukuoka University, Fukuoka, Japan
| | - Osamu Iritani
- Department of Geriatric Medicine, Kanazawa Medical University, Ishikawa, Japan
| | - Ken-Ichiro Yamashita
- Translational Neuroscience Center, Graduate School of Medicine, International University of Health and Welfare, Tochigi, Japan
| | - Tomoyuki Ohara
- Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Shigeki Hirano
- Department of Neurology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Shiro Suda
- Department of Psychiatry, Jichi Medical University, Tochigi, Japan
| | - Tadanori Hamano
- Second Department of Internal Medicine, Division of Neurology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Sotaro Hieda
- Department of Medicine, Division of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Masaaki Yasui
- Department of Neurology, Wakayama Medical University, Wakayama, Japan
| | - Aoi Yoshiiwa
- Department of General Medicine, Oita University Faculty of Medicine, Oita, Japan
| | - Seiji Shiota
- Department of General Medicine, Oita University Faculty of Medicine, Oita, Japan
| | - Masaya Hironishi
- Department of Internal Medicine, Wakayama Medical University Kihoku Hospital, Wakayama, Japan
| | - Kenji Wada-Isoe
- Department of Dementia Medicine, Kawasaki Medical School, Okayama, Japan
| | - Daiki Sasabayashi
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Sho Yamasaki
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Masayuki Murata
- Department of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Kouta Funakoshi
- Department of Clinical Research Promotion, Kyushu University Hospital, Fukuoka, Japan
| | - Kouji Hayashi
- Department of Rehabilitation, Fukui Health Science University, Fukui, Japan
| | - Norimichi Shirafuji
- Second Department of Internal Medicine, Division of Neurology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hirohito Sasaki
- Second Department of Internal Medicine, Division of Neurology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yoshinori Kajimoto
- Department of Internal Medicine, Wakayama Medical University Kihoku Hospital, Wakayama, Japan
| | - Yukiko Mori
- Department of Medicine, Division of Neurology, Showa University School of Medicine, Tokyo, Japan
| | - Michio Suzuki
- Department of Neuropsychiatry, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan
| | - Hidefumi Ito
- Department of Neurology, Wakayama Medical University, Wakayama, Japan
| | - Kenjiro Ono
- Department of Neurology, Kanazawa University Graduate School of Medical Sciences, Ishikawa, Japan
| | - Yoshio Tsuboi
- Department of Neurology, School of Medicine, Fukuoka University, Fukuoka, Japan
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Jaguri A, Al Thani AA, Elrayess MA. Exercise Metabolome: Insights for Health and Performance. Metabolites 2023; 13:694. [PMID: 37367852 DOI: 10.3390/metabo13060694] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/14/2023] [Accepted: 05/23/2023] [Indexed: 06/28/2023] Open
Abstract
Exercise has many benefits for physical and mental well-being. Metabolomics research has allowed scientists to study the impact of exercise on the body by analyzing metabolites released by tissues such as skeletal muscle, bone, and the liver. Endurance training increases mitochondrial content and oxidative enzymes, while resistance training increases muscle fiber and glycolytic enzymes. Acute endurance exercise affects amino acid metabolism, fat metabolism, cellular energy metabolism, and cofactor and vitamin metabolism. Subacute endurance exercise alters amino acid metabolism, lipid metabolism, and nucleotide metabolism. Chronic endurance exercise improves lipid metabolism and changes amino acid metabolism. Acute resistance exercise changes several metabolic pathways, including anaerobic processes and muscular strength. Chronic resistance exercise affects metabolic pathways, resulting in skeletal muscle adaptations. Combined endurance-resistance exercise alters lipid metabolism, carbohydrate metabolism, and amino acid metabolism, increasing anaerobic metabolic capacity and fatigue resistance. Studying exercise-induced metabolites is a growing field, and further research can uncover the underlying metabolic mechanisms and help tailor exercise programs for optimal health and performance.
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Affiliation(s)
- Aayami Jaguri
- Weill Cornell Medicine-Qatar, Doha P.O. Box 24811, Qatar
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
| | - Asmaa A Al Thani
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
- QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Mohamed A Elrayess
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
- QU Health, Qatar University, Doha P.O. Box 2713, Qatar
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Shirbandi K, Rikhtegar R, Khalafi M, Mirza Aghazadeh Attari M, Rahmani F, Javanmardi P, Iraji S, Babaei Aghdam Z, Rezaei Rashnoudi AM. Functional Magnetic Resonance Spectroscopy of Lactate in Alzheimer Disease: A Comprehensive Review of Alzheimer Disease Pathology and the Role of Lactate. Top Magn Reson Imaging 2023; 32:15-26. [PMID: 37093700 PMCID: PMC10121369 DOI: 10.1097/rmr.0000000000000303] [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: 08/25/2022] [Revised: 01/27/2023] [Accepted: 02/17/2023] [Indexed: 04/13/2023]
Abstract
ABSTRACT Functional 1H magnetic resonance spectroscopy (fMRS) is a derivative of dynamic MRS imaging. This modality links physiologic metabolic responses with available activity and measures absolute or relative concentrations of various metabolites. According to clinical evidence, the mitochondrial glycolysis pathway is disrupted in many nervous system disorders, especially Alzheimer disease, resulting in the activation of anaerobic glycolysis and an increased rate of lactate production. Our study evaluates fMRS with J-editing as a cutting-edge technique to detect lactate in Alzheimer disease. In this modality, functional activation is highlighted by signal subtractions of lipids and macromolecules, which yields a much higher signal-to-noise ratio and enables better detection of trace levels of lactate compared with other modalities. However, until now, clinical evidence is not conclusive regarding the widespread use of this diagnostic method. The complex machinery of cellular and noncellular modulators in lactate metabolism has obscured the potential roles fMRS imaging can have in dementia diagnosis. Recent developments in MRI imaging such as the advent of 7 Tesla machines and new image reconstruction methods, coupled with a renewed interest in the molecular and cellular basis of Alzheimer disease, have reinvigorated the drive to establish new clinical options for the early detection of Alzheimer disease. Based on the latter, lactate has the potential to be investigated as a novel diagnostic and prognostic marker for Alzheimer disease.
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Affiliation(s)
- Kiarash Shirbandi
- Neuroimaging and Analysis Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Rikhtegar
- Department of Intracranial Endovascular Therapy, Alfried Krupp Krankenhaus Essen, Essen, Germany
| | - Mohammad Khalafi
- Medical Imaging Sciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Farzaneh Rahmani
- Department of Radiology, Washington University in St. Louis, St. Louis, MO
| | - Pouya Javanmardi
- Radiologic Technology Department, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sajjad Iraji
- Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Babaei Aghdam
- Medical Imaging Sciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
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Jang S, Chorna N, Rodríguez-Graciani KM, Inyushin M, Fossati S, Javadov S. The Effects of Amyloid-β on Metabolomic Profiles of Cardiomyocytes and Coronary Endothelial Cells. J Alzheimers Dis 2023; 93:307-319. [PMID: 36970904 DOI: 10.3233/jad-221199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/14/2023]
Abstract
BACKGROUND An increasing number of experimental and clinical studies show a link between Alzheimer's disease and heart diseases such as heart failure, ischemic heart disease, and atrial fibrillation. However, the mechanisms underlying the potential role of amyloid-β (Aβ) in the pathogenesis of cardiac dysfunction in Alzheimer's disease remain unknown. We have recently shown the effects of Aβ 1 - 40 and Aβ 1 - 42 on cell viability and mitochondrial function in cardiomyocytes and coronary artery endothelial cells. OBJECTIVE In this study, we investigated the effects of Aβ 1 - 40 and Aβ 1 - 42 on the metabolism of cardiomyocytes and coronary artery endothelial cells. METHODS Gas chromatography-mass spectrometry was used to analyze metabolomic profiles of cardiomyocytes and coronary artery endothelial cells treated with Aβ 1 - 40 and Aβ 1 - 42. In addition, we determined mitochondrial respiration and lipid peroxidation in these cells. RESULTS We found that the metabolism of different amino acids was affected by Aβ 1 - 42 in each cell type, whereas the fatty acid metabolism is consistently disrupted in both types of cells. Lipid peroxidation was significantly increased, whereas mitochondrial respiration was reduced in both cell types in response to Aβ 1 - 42. CONCLUSION This study revealed the disruptive effects of Aβ on lipid metabolism and mitochondria function in cardiac cells.
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Affiliation(s)
- Sehwan Jang
- Department of Physiology, University of Puerto Rico School of Medicine, San Juan, PR, USA
| | - Nataliya Chorna
- Department of Biochemistry, University of Puerto Rico School of Medicine, San Juan, PR, USA
| | | | - Mikhail Inyushin
- Department of Physiology, School of Medicine, Universidad Central del Caribe, Bayamon, PR, USA
| | - Silvia Fossati
- Alzheimer's Center at Temple, Department of Neural Sciences, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA
| | - Sabzali Javadov
- Department of Physiology, University of Puerto Rico School of Medicine, San Juan, PR, USA
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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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Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer's Disease. Cell Mol Neurobiol 2023:10.1007/s10571-023-01330-y. [PMID: 36847930 DOI: 10.1007/s10571-023-01330-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/15/2023] [Indexed: 03/01/2023]
Abstract
The development of early non-invasive diagnosis methods and identification of novel biomarkers are necessary for managing Alzheimer's disease (AD) and facilitating effective prognosis and treatment. AD has multi-factorial nature and involves complex molecular mechanism, which causes neuronal degeneration. The primary challenges in early AD detection include patient heterogeneity and lack of precise diagnosis at the preclinical stage. Several cerebrospinal fluid (CSF) and blood biomarkers have been proposed to show excellent diagnosis ability by identifying tau pathology and cerebral amyloid beta (Aβ) for AD. Intense research endeavors are being made to develop ultrasensitive detection techniques and find potent biomarkers for early AD diagnosis. To mitigate AD worldwide, understanding various CSF biomarkers, blood biomarkers, and techniques that can be used for early diagnosis is imperative. This review attempts to provide information regarding AD pathophysiology, genetic and non-genetic factors associated with AD, several potential blood and CSF biomarkers, like neurofilament light, neurogranin, Aβ, and tau, along with biomarkers under development for AD detection. Besides, numerous techniques, such as neuroimaging, spectroscopic techniques, biosensors, and neuroproteomics, which are being explored to aid early AD detection, have been discussed. The insights thus gained would help in finding potential biomarkers and suitable techniques for the accurate diagnosis of early AD before cognitive dysfunction.
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30
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Yoon JH, Hwang J, Son SU, Choi J, You SW, Park H, Cha SY, Maeng S. How Can Insulin Resistance Cause Alzheimer's Disease? Int J Mol Sci 2023; 24:ijms24043506. [PMID: 36834911 PMCID: PMC9966425 DOI: 10.3390/ijms24043506] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/17/2023] [Accepted: 01/27/2023] [Indexed: 02/12/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder associated with cognitive decline. Despite worldwide efforts to find a cure, no proper treatment has been developed yet, and the only effective countermeasure is to prevent the disease progression by early diagnosis. The reason why new drug candidates fail to show therapeutic effects in clinical studies may be due to misunderstanding the cause of AD. Regarding the cause of AD, the most widely known is the amyloid cascade hypothesis, in which the deposition of amyloid beta and hyperphosphorylated tau is the cause. However, many new hypotheses were suggested. Among them, based on preclinical and clinical evidence supporting a connection between AD and diabetes, insulin resistance has been pointed out as an important factor in the development of AD. Therefore, by reviewing the pathophysiological background of brain metabolic insufficiency and insulin insufficiency leading to AD pathology, we will discuss how can insulin resistance cause AD.
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Affiliation(s)
- Ji Hye Yoon
- Age-Tech Service Convergence Major, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
| | - JooHyun Hwang
- Age-Tech Service Convergence Major, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
| | - Sung Un Son
- Department of Comprehensive Health Science, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
| | - Junhyuk Choi
- Age-Tech Service Convergence Major, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
| | - Seung-Won You
- Department of Comprehensive Health Science, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
| | - Hyunwoo Park
- Department of Comprehensive Health Science, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
- Health Park Co., Ltd., Seoul 02447, Republic of Korea
| | - Seung-Yun Cha
- Department of Comprehensive Health Science, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
- Correspondence: (S.-Y.C.); (S.M.); Tel.: +82-31-201-2916 (S.M.)
| | - Sungho Maeng
- Age-Tech Service Convergence Major, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
- Department of Comprehensive Health Science, Graduate School of East–West Medical Science, Kyung Hee University, Yongin-si 17104, Republic of Korea
- Correspondence: (S.-Y.C.); (S.M.); Tel.: +82-31-201-2916 (S.M.)
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Tiwari V, Shukla S. Lipidomics and proteomics: An integrative approach for early diagnosis of dementia and Alzheimer's disease. Front Genet 2023; 14:1057068. [PMID: 36845373 PMCID: PMC9946989 DOI: 10.3389/fgene.2023.1057068] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 01/23/2023] [Indexed: 02/11/2023] Open
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder and considered to be responsible for majority of worldwide prevalent dementia cases. The number of patients suffering from dementia are estimated to increase up to 115.4 million cases worldwide in 2050. Hence, AD is contemplated to be one of the major healthcare challenge in current era. This disorder is characterized by impairment in various signaling molecules at cellular and nuclear level including aggregation of Aβ protein, tau hyper phosphorylation altered lipid metabolism, metabolites dysregulation, protein intensity alteration etc. Being heterogeneous and multifactorial in nature, the disease do not has any cure or any confirmed diagnosis before the onset of clinical manifestations. Hence, there is a requisite for early diagnosis of AD in order to downturn the progression/risk of the disorder and utilization of newer technologies developed in this field are aimed to provide an extraordinary assistance towards the same. The lipidomics and proteomics constitute large scale study of cellular lipids and proteomes in biological matrices at normal stage or any stage of a disease. The study involves high throughput quantification and detection techniques such as mass spectrometry, liquid chromatography, nuclear mass resonance spectroscopy, fluorescence spectroscopy etc. The early detection of altered levels of lipids and proteins in blood or any other biological matrices could aid in preventing the progression of AD and dementia. Therefore, the present review is designed to focus on the recent techniques and early diagnostic criteria for AD, revealing the role of lipids and proteins in this disease and their assessment through different techniques.
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Affiliation(s)
- Virendra Tiwari
- Division of Neuroscience and Ageing Biology, CSIR- Central Drug Research Institute, Lucknow, India,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Shubha Shukla
- Division of Neuroscience and Ageing Biology, CSIR- Central Drug Research Institute, Lucknow, India,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India,*Correspondence: Shubha Shukla,
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Chang R, Trushina E, Zhu K, Zaidi SSA, Lau BM, Kueider-Paisley A, Moein S, He Q, Alamprese ML, Vagnerova B, Tang A, Vijayan R, Liu Y, Saykin AJ, Brinton RD, Kaddurah-Daouk R. Predictive metabolic networks reveal sex- and APOE genotype-specific metabolic signatures and drivers for precision medicine in Alzheimer's disease. Alzheimers Dement 2023; 19:518-531. [PMID: 35481667 PMCID: PMC10402890 DOI: 10.1002/alz.12675] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 01/20/2022] [Accepted: 02/17/2022] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Late-onset Alzheimer's disease (LOAD) is a complex neurodegenerative disease characterized by multiple progressive stages, glucose metabolic dysregulation, Alzheimer's disease (AD) pathology, and inexorable cognitive decline. Discovery of metabolic profiles unique to sex, apolipoprotein E (APOE) genotype, and stage of disease progression could provide critical insights for personalized LOAD medicine. METHODS Sex- and APOE-specific metabolic networks were constructed based on changes in 127 metabolites of 656 serum samples from the Alzheimer's Disease Neuroimaging Initiative cohort. RESULTS Application of an advanced analytical platform identified metabolic drivers and signatures clustered with sex and/or APOE ɛ4, establishing patient-specific biomarkers predictive of disease state that significantly associated with cognitive function. Presence of the APOE ɛ4 shifts metabolic signatures to a phosphatidylcholine-focused profile overriding sex-specific differences in serum metabolites of AD patients. DISCUSSION These findings provide an initial but critical step in developing a diagnostic platform for personalized medicine by integrating metabolomic profiling and cognitive assessments to identify targeted precision therapeutics for AD patient subgroups through computational network modeling.
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Affiliation(s)
- Rui Chang
- Department of Neurology, University of Arizona, Tucson, AZ, USA
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Eugenia Trushina
- Department of Neurology, Mayo Clinic, Rochester, MN, USA
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA
| | - Kuixi Zhu
- Department of Neurology, University of Arizona, Tucson, AZ, USA
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Syed Shujaat Ali Zaidi
- Department of Neurology, University of Arizona, Tucson, AZ, USA
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Branden M. Lau
- Arizona Research Labs, Genetics Core, University of Arizona, Tucson, AZ, USA
| | | | - Sara Moein
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Qianying He
- Department of Biosystems Engineering, University of Arizona, Tucson, AZ, USA
| | - Melissa L. Alamprese
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
| | - Barbora Vagnerova
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA
| | - Andrew Tang
- Department of Neuroscience, University of Arizona, Tucson, AZ, USA
| | | | - Yanyun Liu
- Department of Neurology, University of Arizona, Tucson, AZ, USA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences and the Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Roberta D. Brinton
- Department of Neurology, University of Arizona, Tucson, AZ, USA
- The Center for Innovation in Brain Science, University of Arizona, Tucson, AZ, USA
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, 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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Strefeler A, Jan M, Quadroni M, Teav T, Rosenberg N, Chatton JY, Guex N, Gallart-Ayala H, Ivanisevic J. Molecular insights into sex-specific metabolic alterations in Alzheimer's mouse brain using multi-omics approach. Alzheimers Res Ther 2023; 15:8. [PMID: 36624525 PMCID: PMC9827669 DOI: 10.1186/s13195-023-01162-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/02/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is characterized by altered cellular metabolism in the brain. Several of these alterations have been found to be exacerbated in females, known to be disproportionately affected by AD. We aimed to unravel metabolic alterations in AD at the metabolic pathway level and evaluate whether they are sex-specific through integrative metabolomic, lipidomic, and proteomic analysis of mouse brain tissue. METHODS We analyzed male and female triple-transgenic mouse whole brain tissue by untargeted mass spectrometry-based methods to obtain a molecular signature consisting of polar metabolite, complex lipid, and protein data. These data were analyzed using multi-omics factor analysis. Pathway-level alterations were identified through joint pathway enrichment analysis or by separately evaluating lipid ontology and known proteins related to lipid metabolism. RESULTS Our analysis revealed significant AD-associated and in part sex-specific alterations across the molecular signature. Sex-dependent alterations were identified in GABA synthesis, arginine biosynthesis, and in alanine, aspartate, and glutamate metabolism. AD-associated alterations involving lipids were also found in the fatty acid elongation pathway and lysophospholipid metabolism, with a significant sex-specific effect for the latter. CONCLUSIONS Through multi-omics analysis, we report AD-associated and sex-specific metabolic alterations in the AD brain involving lysophospholipid and amino acid metabolism. These findings contribute to the characterization of the AD phenotype at the molecular level while considering the effect of sex, an overlooked yet determinant metabolic variable.
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Affiliation(s)
- Abigail Strefeler
- grid.9851.50000 0001 2165 4204Metabolomics Unit, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Maxime Jan
- grid.9851.50000 0001 2165 4204Bioinformatics Competence Center, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Manfredo Quadroni
- grid.9851.50000 0001 2165 4204Protein Analysis Facility, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Tony Teav
- grid.9851.50000 0001 2165 4204Metabolomics Unit, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Nadia Rosenberg
- grid.9851.50000 0001 2165 4204Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Jean-Yves Chatton
- grid.9851.50000 0001 2165 4204Department of Fundamental Neurosciences, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - Nicolas Guex
- grid.9851.50000 0001 2165 4204Bioinformatics Competence Center, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Hector Gallart-Ayala
- grid.9851.50000 0001 2165 4204Metabolomics Unit, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
| | - Julijana Ivanisevic
- grid.9851.50000 0001 2165 4204Metabolomics Unit, Faculty of Biology and Medicine, University de Lausanne, Lausanne, Switzerland
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Dalmasso MC, Arán M, Galeano P, Perin S, Giavalisco P, Martino Adami PV, Novack GV, Castaño EM, Cuello AC, Scherer M, Maier W, Wagner M, Riedel-Heller S, Ramirez A, Morelli L. Nicotinamide as potential biomarker for Alzheimer's disease: A translational study based on metabolomics. Front Mol Biosci 2023; 9:1067296. [PMID: 36685284 PMCID: PMC9853457 DOI: 10.3389/fmolb.2022.1067296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 12/16/2022] [Indexed: 01/08/2023] Open
Abstract
Introduction: The metabolic routes altered in Alzheimer's disease (AD) brain are poorly understood. As the metabolic pathways are evolutionarily conserved, the metabolic profiles carried out in animal models of AD could be directly translated into human studies. Methods: We performed untargeted Nuclear Magnetic Resonance metabolomics in hippocampus of McGill-R-Thy1-APP transgenic (Tg) rats, a model of AD-like cerebral amyloidosis and the translational potential of these findings was assessed by targeted Gas Chromatography-Electron Impact-Mass Spectrometry in plasma of participants in the German longitudinal cohort AgeCoDe. Results: In rat hippocampus 26 metabolites were identified. Of these 26 metabolites, nine showed differences between rat genotypes that were nominally significant. Two of them presented partial least square-discriminant analysis (PLS-DA) loadings with the larger absolute weights and the highest Variable Importance in Projection (VIP) scores and were specifically assigned to nicotinamide adenine dinucleotide (NAD) and nicotinamide (Nam). NAD levels were significantly decreased in Tg rat brains as compared to controls. In agreement with these results, plasma of AD patients showed significantly reduced levels of Nam in respect to cognitively normal participants. In addition, high plasma levels of Nam showed a 27% risk reduction of progressing to AD dementia within the following 2.5 years, this hazard ratio is lost afterwards. Discussion: To our knowledge, this is the first report showing that a decrease of Nam plasma levels is observed couple of years before conversion to AD, thereby suggesting its potential use as biomarker for AD progression.
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Affiliation(s)
- María C. Dalmasso
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina,Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany,Studies in Neuroscience and Complex Systems Unit (ENyS-CONICET-HEC-UNAJ). Florencio Varela, Florencio Varela, Argentina
| | - Martín Arán
- Laboratory of NMR-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Cologne, Argentina
| | - Pablo Galeano
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Silvina Perin
- Max Planck Institute for Biology of Ageing, Cologne, Germany
| | | | - Pamela V. Martino Adami
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Gisela V. Novack
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - Eduardo M. Castaño
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina
| | - A. Claudio Cuello
- Department of Pharmacology and Therapeutics, McGill University, Montreal, CA, Canada
| | - Martin Scherer
- Department of Primary Medical Care, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Wolfgang Maier
- Department of Neurodegenerative and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Wagner
- Department of Neurodegenerative and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health, University of Leipzig, Leipzig, Germany
| | - Alfredo Ramirez
- Division of Neurogenetics and Molecular Psychiatry, Department of Psychiatry and Psychotherapy, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany,Department of Neurodegenerative and Geriatric Psychiatry, University Hospital Bonn, Medical Faculty, Bonn, Germany,German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany,Department of Psychiatry and Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX, United States,Cluster of Excellence Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Laura Morelli
- Laboratory of Brain Aging and Neurodegeneration-Fundación Instituto Leloir-IIBBA-National Scientific and Technical Research Council (CONICET). Ciudad Autónoma de Buenos Aires, Buenos Aires, Argentina,*Correspondence: Laura Morelli,
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Zivko C, Sagar R, Xydia A, Mahairaki V. Lipid Profiling in Alzheimer's Disease. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2023; 1423:281-287. [PMID: 37525056 DOI: 10.1007/978-3-031-31978-5_29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/02/2023]
Abstract
The human brain is the organ with the most lipids after adipose tissues. The rich heterogeneity of the neural lipidome is being actively investigated with the aim of shedding new light into the physiological and pathological roles these compounds play in the brain. This is particularly important for the study of increasingly common neurodegenerative pathologies, such as Alzheimer's disease (AD), whose underlying mechanisms are still insufficiently understood and for which there is no cure. The present text dives into the current knowledge of the lipid composition of the brain, with a particular focus on the application of lipid profiling to AD research.
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Affiliation(s)
- Cristina Zivko
- Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Ram Sagar
- Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Ariadni Xydia
- Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine, Baltimore, MD, USA
| | - Vasiliki Mahairaki
- Department of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
- The Richman Family Precision Medicine Center of Excellence in Alzheimer's Disease, Johns Hopkins Medicine, Baltimore, MD, USA.
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Cheng X, Tan Y, Li H, Huang J, Zhao D, Zhang Z, Yi M, Zhu L, Hui S, Yang J, Peng W. Fecal 16S rRNA sequencing and multi-compartment metabolomics revealed gut microbiota and metabolites interactions in APP/PS1 mice. Comput Biol Med 2022; 151:106312. [PMID: 36417828 DOI: 10.1016/j.compbiomed.2022.106312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/27/2022] [Accepted: 11/13/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Alzheimer's disease is a significant public health issue. Recent studies have shown that the gut microbiota plays a vital role in the onset and development of Alzheimer's disease. However, the potential role of the gut microbiota and the associated metabolic characteristics require further elucidation. METHODS The gut microbial compositions of APP/PS1 mice were analyzed using 16S rRNA gene sequencing. Metabolomics was used to characterize changes in metabolic profiles in feces, serum, and cortex. A multi-omics approach investigated the potential associations between gut microbes and metabolites. RESULTS The gut microbiota composition was markedly different between APP/PS1 mice and normal mice. Metabolomic analysis identified 253 fecal metabolites, 16 serum metabolites, and 123 cortical metabolites that were differentially abundant in APP/PS1 that may be potential biomarkers of AD. Nearly half of these metabolites were lipids. A combined analysis of the three sample types showed a correlation between fecal fatty acids and glycerolipids, serum glycerophospholipids, and cortical fatty acids. Furthermore, our study showed that Marinifilaceae and Akkermansiaceae were closely related to these lipids and lipid-like molecules, particularly fatty acids and glycerophospholipids. CONCLUSION Our study highlighted the interactions between the gut microbiome and the fecal, serum, and cortical metabolomes. This interaction provides a new direction for further exploring the link between gut microbiota composition and metabolism in Alzheimer's disease.
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Affiliation(s)
- Xin Cheng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; National Clinical Research Center for Mental Disorder, Changsha, 410011, China
| | - Yejun Tan
- School of Mathematics, University of Minnesota Twin Cities, Minneapolis, 55455, MN, USA
| | - Hongli Li
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; National Clinical Research Center for Mental Disorder, Changsha, 410011, China
| | - Jianhua Huang
- Hunan Academy of Chinese Medicine, Changsha, 410013, China
| | - Di Zhao
- Hunan Academy of Chinese Medicine, Changsha, 410013, China
| | - Zheyu Zhang
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; National Clinical Research Center for Mental Disorder, Changsha, 410011, China
| | - Min Yi
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; National Clinical Research Center for Mental Disorder, Changsha, 410011, China
| | - Lemei Zhu
- Academician Workstation, Changsha Medical University, Changsha, 410219, China
| | - Shan Hui
- Department of Geratology, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, 410005, China
| | - Jingjing Yang
- Teaching and Research Section of Clinical Nursing, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Weijun Peng
- Department of Integrated Traditional Chinese & Western Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China; National Clinical Research Center for Mental Disorder, Changsha, 410011, China.
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Marmolejo-Garza A, Medeiros-Furquim T, Rao R, Eggen BJL, Boddeke E, Dolga AM. Transcriptomic and epigenomic landscapes of Alzheimer's disease evidence mitochondrial-related pathways. BIOCHIMICA ET BIOPHYSICA ACTA. MOLECULAR CELL RESEARCH 2022; 1869:119326. [PMID: 35839870 DOI: 10.1016/j.bbamcr.2022.119326] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 02/06/2023]
Abstract
Alzheimers disease (AD) is the main cause of dementia and it is defined by cognitive decline coupled to extracellular deposit of amyloid-beta protein and intracellular hyperphosphorylation of tau protein. Historically, efforts to target such hallmarks have failed in numerous clinical trials. In addition to these hallmark-targeted approaches, several clinical trials focus on other AD pathological processes, such as inflammation, mitochondrial dysfunction, and oxidative stress. Mitochondria and mitochondrial-related mechanisms have become an attractive target for disease-modifying strategies, as mitochondrial dysfunction prior to clinical onset has been widely described in AD patients and AD animal models. Mitochondrial function relies on both the nuclear and mitochondrial genome. Findings from omics technologies have shed light on AD pathophysiology at different levels (e.g., epigenome, transcriptome and proteome). Most of these studies have focused on the nuclear-encoded components. The first part of this review provides an updated overview of the mechanisms that regulate mitochondrial gene expression and function. The second part of this review focuses on evidence of mitochondrial dysfunction in AD. We have focused on published findings and datasets that study AD. We analyzed published data and provide examples for mitochondrial-related pathways. These pathways are strikingly dysregulated in AD neurons and glia in sex-, cell- and disease stage-specific manners. Analysis of mitochondrial omics data highlights the involvement of mitochondria in AD, providing a rationale for further disease modeling and drug targeting.
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Affiliation(s)
- Alejandro Marmolejo-Garza
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, the Netherlands; Department of Biomedical Sciences of Cells & Systems, Section Molecular Neurobiology, Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Tiago Medeiros-Furquim
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, the Netherlands; Department of Biomedical Sciences of Cells & Systems, Section Molecular Neurobiology, Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ramya Rao
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, the Netherlands
| | - Bart J L Eggen
- Department of Biomedical Sciences of Cells & Systems, Section Molecular Neurobiology, Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Erik Boddeke
- Department of Biomedical Sciences of Cells & Systems, Section Molecular Neurobiology, Faculty of Medical Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen N, Denmark.
| | - Amalia M Dolga
- Department of Molecular Pharmacology, Faculty of Science and Engineering, Groningen Research Institute of Pharmacy (GRIP), University of Groningen, the Netherlands.
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Dong R, Denier-Fields DN, Lu Q, Suridjan I, Kollmorgen G, Wild N, Betthauser TJ, Carlsson CM, Asthana S, Johnson SC, Zetterberg H, Blennow K, Engelman CD. Principal components from untargeted cerebrospinal fluid metabolomics associated with Alzheimer's disease biomarkers. Neurobiol Aging 2022; 117:12-23. [PMID: 35640460 PMCID: PMC9737218 DOI: 10.1016/j.neurobiolaging.2022.04.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 01/20/2022] [Accepted: 04/12/2022] [Indexed: 01/13/2023]
Abstract
Studying the correlation between cerebrospinal fluid (CSF) metabolites and the Alzheimer's Disease (AD) biomarkers may offer a window to the alterations of the brain metabolome and unveil potential biological mechanisms underlying AD. In this analysis, 308 CSF metabolites from 338 individuals of Wisconsin Registry for Alzheimer's Prevention and Wisconsin Alzheimer's Disease Research Center were included in a principal component analysis (PCA). The resulted principal components (PCs) were tested for association with CSF total tau (t-tau), phosphorylated tau (p-tau), amyloid β 42 (Aβ42), and Aβ42/40 ratio using linear regression models. Significant PCs were further tested with other CSF NeuroToolKit (NTK) and imaging biomarkers. Using a Bonferroni corrected p < 0.05, 5 PCs were significantly associated with CSF p-tau and t-tau and 3 PCs were significantly associated with CSF Aβ42. Pathway analysis suggested that these PCS were enriched in 6 pathways, including metabolism of caffeine and nicotinate and nicotinamide. This study provides evidence that CSF metabolites are associated with AD pathology through core AD biomarkers and other NTK markers and suggests potential pathways to follow up in future studies.
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Affiliation(s)
- Ruocheng Dong
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Diandra N Denier-Fields
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Department Nutrition Science, University of Wisconsin-Madison, Madison, WI, USA
| | - Qiongshi Lu
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | - Tobey James Betthauser
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
| | - Cynthia M Carlsson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sanjay Asthana
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA
| | - Sterling C Johnson
- Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Geriatric Research Education and Clinical Center, Wm. S. Middleton Memorial VA Hospital, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; UK Dementia Research Institute at UCL, London, UK; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA; Wisconsin Alzheimer's Institute, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA.
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Dar MA, Arafah A, Bhat KA, Khan A, Khan MS, Ali A, Ahmad SM, Rashid SM, Rehman MU. Multiomics technologies: role in disease biomarker discoveries and therapeutics. Brief Funct Genomics 2022; 22:76-96. [PMID: 35809340 DOI: 10.1093/bfgp/elac017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 05/21/2022] [Accepted: 06/14/2022] [Indexed: 11/13/2022] Open
Abstract
Medical research has been revolutionized after the publication of the full human genome. This was the major landmark that paved the way for understanding the biological functions of different macro and micro molecules. With the advent of different high-throughput technologies, biomedical research was further revolutionized. These technologies constitute genomics, transcriptomics, proteomics, metabolomics, etc. Collectively, these high-throughputs are referred to as multi-omics technologies. In the biomedical field, these omics technologies act as efficient and effective tools for disease diagnosis, management, monitoring, treatment and discovery of certain novel disease biomarkers. Genotyping arrays and other transcriptomic studies have helped us to elucidate the gene expression patterns in different biological states, i.e. healthy and diseased states. Further omics technologies such as proteomics and metabolomics have an important role in predicting the role of different biological molecules in an organism. It is because of these high throughput omics technologies that we have been able to fully understand the role of different genes, proteins, metabolites and biological pathways in a diseased condition. To understand a complex biological process, it is important to apply an integrative approach that analyses the multi-omics data in order to highlight the possible interrelationships of the involved biomolecules and their functions. Furthermore, these omics technologies offer an important opportunity to understand the information that underlies disease. In the current review, we will discuss the importance of omics technologies as promising tools to understand the role of different biomolecules in diseases such as cancer, cardiovascular diseases, neurodegenerative diseases and diabetes. SUMMARY POINTS
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Horgusluoglu E, Neff R, Song W, Wang M, Wang Q, Arnold M, Krumsiek J, Galindo‐Prieto B, Ming C, Nho K, Kastenmüller G, Han X, Baillie R, Zeng Q, Andrews S, Cheng H, Hao K, Goate A, Bennett DA, Saykin AJ, Kaddurah‐Daouk R, Zhang B. Integrative metabolomics-genomics approach reveals key metabolic pathways and regulators of Alzheimer's disease. Alzheimers Dement 2022; 18:1260-1278. [PMID: 34757660 PMCID: PMC9085975 DOI: 10.1002/alz.12468] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 04/14/2021] [Accepted: 04/17/2021] [Indexed: 12/29/2022]
Abstract
Metabolites, the biochemical products of the cellular process, can be used to measure alterations in biochemical pathways related to the pathogenesis of Alzheimer's disease (AD). However, the relationships between systemic abnormalities in metabolism and the pathogenesis of AD are poorly understood. In this study, we aim to identify AD-specific metabolomic changes and their potential upstream genetic and transcriptional regulators through an integrative systems biology framework for analyzing genetic, transcriptomic, metabolomic, and proteomic data in AD. Metabolite co-expression network analysis of the blood metabolomic data in the Alzheimer's Disease Neuroimaging Initiative (ADNI) shows short-chain acylcarnitines/amino acids and medium/long-chain acylcarnitines are most associated with AD clinical outcomes, including episodic memory scores and disease severity. Integration of the gene expression data in both the blood from the ADNI and the brain from the Accelerating Medicines Partnership Alzheimer's Disease (AMP-AD) program reveals ABCA1 and CPT1A are involved in the regulation of acylcarnitines and amino acids in AD. Gene co-expression network analysis of the AMP-AD brain RNA-seq data suggests the CPT1A- and ABCA1-centered subnetworks are associated with neuronal system and immune response, respectively. Increased ABCA1 gene expression and adiponectin protein, a regulator of ABCA1, correspond to decreased short-chain acylcarnitines and amines in AD in the ADNI. In summary, our integrated analysis of large-scale multiomics data in AD systematically identifies novel metabolites and their potential regulators in AD and the findings pave a way for not only developing sensitive and specific diagnostic biomarkers for AD but also identifying novel molecular mechanisms of AD pathogenesis.
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Affiliation(s)
- Emrin Horgusluoglu
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Ryan Neff
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Won‐Min Song
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Minghui Wang
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Qian Wang
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Matthias Arnold
- Institute of Computational BiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
| | - Jan Krumsiek
- Department of Physiology and BiophysicsWeill Cornell MedicineInstitute for Computational BiomedicineEnglander Institute for Precision MedicineNew YorkNew YorkUSA
| | - Beatriz Galindo‐Prieto
- Department of Physiology and BiophysicsWeill Cornell MedicineInstitute for Computational BiomedicineEnglander Institute for Precision MedicineNew YorkNew YorkUSA
- Helen and Robert Appel Alzheimer's Disease Research InstituteBrain and Mind Research InstituteWeill Cornell MedicineNew YorkNew YorkUSA
| | - Chen Ming
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Kwangsik Nho
- Department of Radiology and Imaging Sciences; Indiana Alzheimer Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Gabi Kastenmüller
- Institute of Computational BiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
| | - Xianlin Han
- Barshop Institute for Longevity and Aging StudiesUniversity of Texas Health Science Center at San AntonioSan AntonioTexasUSA
| | | | - Qi Zeng
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Shea Andrews
- Department of NeuroscienceRonald M. Loeb Center for Alzheimer's DiseaseIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Haoxiang Cheng
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Ke Hao
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
| | - Alison Goate
- Department of NeuroscienceRonald M. Loeb Center for Alzheimer's DiseaseIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - David A. Bennett
- Rush Alzheimer's Disease CenterRush University Medical CenterChicagoIllinoisUSA
| | - Andrew J. Saykin
- Department of Radiology and Imaging Sciences; Indiana Alzheimer Disease CenterIndiana University School of MedicineIndianapolisIndianaUSA
| | - Rima Kaddurah‐Daouk
- Department of Psychiatry and Behavioral SciencesDuke UniversityDurhamNorth CarolinaUSA
- Duke Institute of Brain SciencesDuke UniversityDurhamNorth CarolinaUSA
- Department of MedicineDuke UniversityDurhamNorth CarolinaUSA
| | - Bin Zhang
- Department of Genetics and Genomic SciencesMount Sinai Center for Transformative Disease ModelingIcahn School of Medicine at Mount SinaiIcahn Institute of Genomics and Multiscale BiologyNew YorkNew YorkUSA
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Sanborn V, Aljumaah M, Azcarate-Peril MA, Gunstad J. Examining the cognitive benefits of probiotic supplementation in physically active older adults: A randomized clinical trial. Appl Physiol Nutr Metab 2022; 47:871-882. [PMID: 35617704 DOI: 10.1139/apnm-2021-0557] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The prevalence of dementia is projected to increase with the growing older adult population and prevention strategies are urgently needed. Two promising interventions include physical activity (PA) and probiotic supplementation, with initial findings suggesting their combined use may confer greater cognitive benefits than either intervention alone. However, no study has yet examined the effects of probiotic supplementation on cognitive function in healthy, physically active older adults. The present study used archival data from a randomized clinical trial including 127 physically active, middle-aged to older adults (avg age 64.3 years) with self-reported PA levels meeting or exceeding recommendations to investigate the effects of probiotic supplementation (Lactobacillus rhamnosus GG; L.GG) on cognitive outcomes. Repeated measures ANOVAs showed no significant changes in cognitive performance from baseline to follow up as an effect of L.GG consumption. These results suggest that probiotic supplementation may not improve cognitive function in persons already engaged in high levels of PA. Future research should include prospective studies to determine whether long-term use of probiotic supplementation may help prevent cognitive decline. Novelty: • Initial research shows promising cognitive benefits of combined physical activity and probiotics consumption. • L.GG did not lead to acute cognitive improvements for older adults already meeting physical activity guidelines. • Prospective studies examining prevention of cognitive decline with probiotics in healthy and clinical samples are much needed.
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Affiliation(s)
- Victoria Sanborn
- Kent State University, 4229, Psychological Sciences, 600 Hilltop Drive, Kent, Ohio, United States, 44242;
| | - Mashael Aljumaah
- University of North Carolina System, 2332, Department of Medicine, and UNC Microbiome Core, Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, School of Medicine, Chapel Hill, North Carolina, United States.,North Carolina State University at Raleigh, 6798, Department of Plant and Microbial Biology, Raleigh, North Carolina, United States;
| | - M Andrea Azcarate-Peril
- University of North Carolina at Chapel Hill School of Medicine, 6797, Department of Medicine, and UNC Microbiome Core, Center for Gastrointestinal Biology and Disease, Division of Gastroenterology and Hepatology, Chapel Hill, North Carolina, United States;
| | - John Gunstad
- Kent State University College of Arts and Sciences, 142731, Psychological Sciences; Brain Health Research Institute, Kent, Ohio, United States;
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Gu M, Pan H, Yuan Y, Zhou X, Chen L, Wang X, Fang F, Hu L, Xie Y, Shen C. Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19. Front Cell Infect Microbiol 2022; 12:882661. [PMID: 35586248 PMCID: PMC9108257 DOI: 10.3389/fcimb.2022.882661] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 03/28/2022] [Indexed: 12/15/2022] Open
Abstract
We have witnessed the 2-year-long global rampage of COVID-19 caused by the wide spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, knowledge about biomarkers of the entire COVID-19 process is limited. Identification of the systemic features of COVID-19 will lead to critical biomarkers and therapeutic targets for early intervention and clinical disease course prediction. Here, we performed a comprehensive analysis of clinical measurements and serum metabolomics in 199 patients with different stages of COVID-19. In particular, our study is the first serum metabolomic analysis of critical rehabilitation patients and critical death patients. We found many differential metabolites in the comparison of metabolomic results between ordinary, severe, and critical patients and uninfected patients. Through the metabolomic results of COVID-19 patients in various stages, and critical rehabilitation patients and critical death patients, we identified a series of differential metabolites as biomarkers, a separate queue and precise distinction, and predicted COVID-19 verification. These differentially expressed metabolites, included 1,2-di-(9Z,12Z-octadecadienoyl)-sn-glycero-3-phosphate, propylparaben, 20-hydroxyeicosatetraenoic acid, triethanolamine, chavicol, disialosyl galactosyl globoside, 1-arachidonoylglycerophosphoinositol, and alpha-methylstyrene, all of which have been identified for the first time as biomarkers in COVID-19 progression. These biomarkers are involved in many pathological and physiological pathways of COVID-19, for example, immune responses, platelet degranulation, and metabolism which might result in pathogenesis. Our results showed valuable information about metabolites obviously altered in COVID-19 patients with different stages, which could shed light on the pathogenesis as well as serve as potential therapeutic agents of COVID-19.
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Affiliation(s)
- Meijia Gu
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Huaqin Pan
- Department of Critical Care Medicine, Zhongnan Hospital of Wuhan University; Clinical Research Center of Hubei Critical Care Medicine, Wuhan, China
| | - Yuncong Yuan
- College of Life Sciences, Wuhan University, Wuhan, China
- China Center for Type Culture Collection, Wuhan University, Wuhan, China
| | - Xuemin Zhou
- Shanghai BIOTREE Biological Technology Co., Ltd, Shanghai, China
| | - Luojia Chen
- Key Laboratory of Combinatorial Biosynthesis and Drug Discovery, Ministry of Education, School of Pharmaceutical Sciences, Wuhan University, Wuhan, China
| | - Xingran Wang
- College of Life Sciences, Wuhan University, Wuhan, China
| | - Fang Fang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Liu Hu
- College of Life Sciences, Wuhan University, Wuhan, China
| | - Yaxuan Xie
- School of Health Sciences, Wuhan University, Wuhan, China
| | - Chao Shen
- College of Life Sciences, Wuhan University, Wuhan, China
- China Center for Type Culture Collection, Wuhan University, Wuhan, China
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Hanyuda A, Rosner BA, Wiggs JL, Willett WC, Tsubota K, Pasquale LR, Kang JH. Prospective study of dietary intake of branched-chain amino acids and the risk of primary open-angle glaucoma. Acta Ophthalmol 2022; 100:e760-e769. [PMID: 34240564 DOI: 10.1111/aos.14971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 06/17/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE Metabolomic and preclinical studies suggest that branched-chain amino acids (BCAA) may be inversely associated with neurodegenerative diseases including glaucoma. We therefore assessed the long-term association between dietary intake of BCAA and incident primary open-angle glaucoma (POAG) and POAG subtypes. METHODS We followed biennially participants of the Nurses' Health Study (NHS; 65 531 women: 1984-2016), Health Professionals Follow-up Study (42 254 men: 1986-2016) and NHSII (66 904 women; 1991-2017). Eligible participants were 40+ years old and reported eye examinations. Repeated validated food frequency questionnaires were used to assess dietary intake of BCAA. Incident cases of POAG and POAG subtypes defined by visual field (VF) loss and untreated intraocular pressure (IOP) were confirmed by medical record review. Multivariable-adjusted relative risks (MVRRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models. RESULTS We identified 1946 incident POAG cases. The pooled MVRRs of POAG for the highest quintile (Q5 = 17.1 g/day) versus lowest quintile (Q1 = 11.2 g/day) of total BCAA intake was 0.93 (95% CI, 0.73-1.19; ptrend = 0.45; pheterogeneity by sex = 0.24). For subtypes of POAG defined by IOP level or POAG with only peripheral VF loss, no associations were observed for men or women (ptrend ≥ 0.20); however, for the POAG subtype with early paracentral VF loss, there was a suggestion of an inverse association in women (MVRRQ5versusQ1 = 0.80 [95% CI, 0.57-1.12; ptrend = 0.12]) but not in men (MVRRQ5versusQ1 = 1.38 [95% CI, 0.81-2.34; ptrend = 0.28; pheterogeneity by sex = 0.06]). CONCLUSION Higher dietary intake of BCAA was not associated with POAG risk.
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Affiliation(s)
- Akiko Hanyuda
- Department of Nutrition Harvard T.H. Chan School of Public Health Boston Massachusetts USA
- Department of Ophthalmology Keio University School of Medicine Tokyo Japan
- Epidemiology and Prevention Group Center for Public Health Sciences National Cancer Center Tokyo Japan
| | - Bernard A. Rosner
- Department of Biostatistics Harvard T.H. Chan School of Public Health Boston Massachusetts USA
- Channing Division of Network Medicine Department of Medicine Brigham and Women’s Hospital Harvard Medical School Boston Massachusetts USA
| | - Janey L. Wiggs
- Department of Ophthalmology Harvard Medical School Massachusetts Eye and Ear Boston Massachusetts USA
| | - Walter C. Willett
- Department of Nutrition Harvard T.H. Chan School of Public Health Boston Massachusetts USA
- Channing Division of Network Medicine Department of Medicine Brigham and Women’s Hospital Harvard Medical School Boston Massachusetts USA
- Department of Epidemiology Harvard T.H. Chan School of Public Health Boston Massachusetts USA
| | - Kazuo Tsubota
- Department of Ophthalmology Keio University School of Medicine Tokyo Japan
| | - Louis R. Pasquale
- Channing Division of Network Medicine Department of Medicine Brigham and Women’s Hospital Harvard Medical School Boston Massachusetts USA
- Department of Ophthalmology Icahn School of Medicine at Mount Sinai New York New York USA
| | - Jae H. Kang
- Channing Division of Network Medicine Department of Medicine Brigham and Women’s Hospital Harvard Medical School Boston Massachusetts USA
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Hasan MF, Trushina E. Advances in Recapitulating Alzheimer's Disease Phenotypes Using Human Induced Pluripotent Stem Cell-Based In Vitro Models. Brain Sci 2022; 12:552. [PMID: 35624938 PMCID: PMC9138647 DOI: 10.3390/brainsci12050552] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 04/24/2022] [Accepted: 04/24/2022] [Indexed: 12/12/2022] Open
Abstract
Alzheimer's disease (AD) is an incurable neurodegenerative disorder and the leading cause of death among older individuals. Available treatment strategies only temporarily mitigate symptoms without modifying disease progression. Recent studies revealed the multifaceted neurobiology of AD and shifted the target of drug development. Established animal models of AD are mostly tailored to yield a subset of disease phenotypes, which do not recapitulate the complexity of sporadic late-onset AD, the most common form of the disease. The use of human induced pluripotent stem cells (HiPSCs) offers unique opportunities to fill these gaps. Emerging technology allows the development of disease models that recapitulate a brain-like microenvironment using patient-derived cells. These models retain the individual's unraveled genetic background, yielding clinically relevant disease phenotypes and enabling cost-effective, high-throughput studies for drug discovery. Here, we review the development of various HiPSC-based models to study AD mechanisms and their application in drug discovery.
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Affiliation(s)
- Md Fayad Hasan
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA;
| | - Eugenia Trushina
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA;
- Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN 55905, USA
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Gegner HM, Mechtel N, Heidenreich E, Wirth A, Cortizo FG, Bennewitz K, Fleming T, Andresen C, Freichel M, Teleman AA, Kroll J, Hell R, Poschet G. Deep Metabolic Profiling Assessment of Tissue Extraction Protocols for Three Model Organisms. Front Chem 2022; 10:869732. [PMID: 35548679 PMCID: PMC9083328 DOI: 10.3389/fchem.2022.869732] [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: 02/04/2022] [Accepted: 04/05/2022] [Indexed: 12/12/2022] Open
Abstract
Metabolic profiling harbors the potential to better understand various disease entities such as cancer, diabetes, Alzheimer’s, Parkinson’s disease or COVID-19. To better understand such diseases and their intricate metabolic pathways in human studies, model animals are regularly used. There, standardized rearing conditions and uniform sampling strategies are prerequisites towards a successful metabolomic study that can be achieved through model organisms. Although metabolomic approaches have been employed on model organisms before, no systematic assessment of different conditions to optimize metabolite extraction across several organisms and sample types has been conducted. We address this issue using a highly standardized metabolic profiling assay analyzing 630 metabolites across three commonly used model organisms (Drosophila, mouse, and zebrafish) to find an optimal extraction protocol for various matrices. Focusing on parameters such as metabolite coverage, concentration and variance between replicates we compared seven extraction protocols. We found that the application of a combination of 75% ethanol and methyl tertiary-butyl ether (MTBE), while not producing the broadest coverage and highest concentrations, was the most reproducible extraction protocol. We were able to determine up to 530 metabolites in mouse kidney samples, 509 in mouse liver, 422 in zebrafish and 388 in Drosophila and discovered a core overlap of 261 metabolites in these four matrices. To enable other scientists to search for the most suitable extraction protocol in their experimental context and interact with this comprehensive data, we have integrated our data set in the open-source shiny app “MetaboExtract”. Hereby, scientists can search for metabolites or compound classes of interest, compare them across the different tested extraction protocols and sample types as well as find reference concentration values.
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Affiliation(s)
- Hagen M. Gegner
- Metabolomics Core Technology Platform, Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
| | - Nils Mechtel
- Metabolomics Core Technology Platform, Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
| | - Elena Heidenreich
- Metabolomics Core Technology Platform, Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
| | - Angela Wirth
- Institute of Pharmacology, Heidelberg University, Heidelberg, Germany
| | - Fabiola Garcia Cortizo
- Division of Signal Transduction in Cancer and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Katrin Bennewitz
- European Center for Angioscience (ECAS), Department of Vascular Biology and Tumor Angiogenesis, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Thomas Fleming
- Department of Internal Medicine I and Clinical Chemistry, Heidelberg University Hospital, Heidelberg, Germany
| | - Carolin Andresen
- Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM GGmbH), Heidelberg, Germany
- Division of Stem Cells and Cancer, Deutsches Krebsforschungszentrum (DKFZ) and DKFZ-ZMBH Alliance, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Marc Freichel
- Institute of Pharmacology, Heidelberg University, Heidelberg, Germany
| | - Aurelio A. Teleman
- Division of Signal Transduction in Cancer and Metabolism, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jens Kroll
- European Center for Angioscience (ECAS), Department of Vascular Biology and Tumor Angiogenesis, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Rüdiger Hell
- Metabolomics Core Technology Platform, Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
| | - Gernot Poschet
- Metabolomics Core Technology Platform, Centre for Organismal Studies (COS), Heidelberg University, Heidelberg, Germany
- *Correspondence: Gernot Poschet,
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Metabolites Associated with Memory and Gait: A Systematic Review. Metabolites 2022; 12:metabo12040356. [PMID: 35448544 PMCID: PMC9024701 DOI: 10.3390/metabo12040356] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/08/2022] [Accepted: 04/13/2022] [Indexed: 01/19/2023] Open
Abstract
We recently found that dual decline in memory and gait speed was consistently associated with an increased risk of dementia compared to decline in memory or gait only or no decline across six aging cohorts. The mechanisms underlying this relationship are unknown. We hypothesize that individuals who experience dual decline may have specific pathophysiological pathways to dementia which can be indicated by specific metabolomic signatures. Here, we summarize blood-based metabolites that are associated with memory and gait from existing literature and discuss their relevant pathways. A total of 39 eligible studies were included in this systematic review. Metabolites that were associated with memory and gait belonged to five shared classes: sphingolipids, fatty acids, phosphatidylcholines, amino acids, and biogenic amines. The sphingolipid metabolism pathway was found to be enriched in both memory and gait impairments. Existing data may suggest that metabolites from sphingolipids and the sphingolipid metabolism pathway are important for both memory and gait impairments. Future studies using empirical data across multiple cohorts are warranted to identify metabolomic signatures of dual decline in memory and gait and to further understand its relationship with future dementia risk.
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Lipidomics in Understanding Pathophysiology and Pharmacologic Effects in Inflammatory Diseases: Considerations for Drug Development. Metabolites 2022; 12:metabo12040333. [PMID: 35448520 PMCID: PMC9030008 DOI: 10.3390/metabo12040333] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 03/29/2022] [Accepted: 04/04/2022] [Indexed: 01/26/2023] Open
Abstract
The lipidome has a broad range of biological and signaling functions, including serving as a structural scaffold for membranes and initiating and resolving inflammation. To investigate the biological activity of phospholipids and their bioactive metabolites, precise analytical techniques are necessary to identify specific lipids and quantify their levels. Simultaneous quantification of a set of lipids can be achieved using high sensitivity mass spectrometry (MS) techniques, whose technological advancements have significantly improved over the last decade. This has unlocked the power of metabolomics/lipidomics allowing the dynamic characterization of metabolic systems. Lipidomics is a subset of metabolomics for multianalyte identification and quantification of endogenous lipids and their metabolites. Lipidomics-based technology has the potential to drive novel biomarker discovery and therapeutic development programs; however, appropriate standards have not been established for the field. Standardization would improve lipidomic analyses and accelerate the development of innovative therapies. This review aims to summarize considerations for lipidomic study designs including instrumentation, sample stabilization, data validation, and data analysis. In addition, this review highlights how lipidomics can be applied to biomarker discovery and drug mechanism dissection in various inflammatory diseases including cardiovascular disease, neurodegeneration, lung disease, and autoimmune disease.
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Effects of Involuntary and Voluntary Exercise in Combination with Acousto-Optic Stimulation on Adult Neurogenesis in an Alzheimer's Mouse Model. Mol Neurobiol 2022; 59:3254-3279. [PMID: 35297012 DOI: 10.1007/s12035-022-02784-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Accepted: 02/10/2022] [Indexed: 10/18/2022]
Abstract
Single-factor intervention, such as physical exercise and auditory and visual stimulation, plays a positive role on the prevention and treatment of Alzheimer's disease (AD); however, the therapeutic effects of single-factor intervention are limited. The beneficial effects of these multifactor combinations on AD and its molecular mechanism have yet to be elucidated. Here, we investigated the effect of multifactor intervention, voluntary wheel exercise, and involuntary treadmill running in combination with acousto-optic stimulation, on adult neurogenesis and behavioral phenotypes in a mouse model of AD. We found that 4 weeks of multifactor intervention can significantly increase the production of newborn cells (BrdU+ cells) and immature neurons (DCX+ cells) in the hippocampus and lateral ventricle of Aβ oligomer-induced mice. Importantly, the multifactor intervention could promote BrdU+ cells to differentiate into neurons (BrdU+ DCX+ cells or BrdU+ NeuN+ cells) and astrocytes (BrdU+GFAP+ cells) in the hippocampus and ameliorate Aβ oligomer-induced cognitive impairment and anxiety- and depression-like behaviors in mice evaluated by novel object recognition, Morris water maze tests, elevated zero maze, forced swimming test, and tail suspension test, respectively. Moreover, multifactor intervention could lead to an increase in the protein levels of PSD-95, SYP, DCX, NeuN, GFAP, Bcl-2, BDNF, TrkB, and pSer473-Akt and a decrease in the protein levels of BAX and caspase-9 in the hippocampal lysates of Aβ oligomer-induced mice. Furthermore, sequencing analysis of serum metabolites revealed that aberrantly expressed metabolites modulated by multifactor intervention were highly enriched in the biological process associated with keeping neurons functioning and neurobehavioral function. Additionally, the intervention-mediated serum metabolites mainly participated in glutamate metabolism, glucose metabolism, and the tricarboxylic acid cycle in mice. Our findings suggest the potential of multifactor intervention as a non-invasive therapeutic strategy for AD to anti-Aβ oligomer neurotoxicity.
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Liu ZT, Ma YT, Pan ST, Xie K, Shen W, Lin SY, Gao JY, Li WY, Li GY, Wang QW, Li LP. Effects of involuntary treadmill running in combination with swimming on adult neurogenesis in an Alzheimer's mouse model. Neurochem Int 2022; 155:105309. [PMID: 35276288 DOI: 10.1016/j.neuint.2022.105309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Revised: 01/24/2022] [Accepted: 02/15/2022] [Indexed: 10/18/2022]
Abstract
Physical exercise plays a role on the prevention and treatment of Alzheimer's disease (AD), but the exercise mode and the mechanism for these positive effects is still ambiguous. Here, we investigated the effect of an aerobic interval exercise, running in combination with swimming, on behavioral dysfunction and associated adult neurogenesis in a mouse model of AD. We demonstrate that 4 weeks of the exercise could ameliorate Aβ42 oligomer-induced cognitive impairment in mice utilizing Morris water maze tests. Additionally, the exercised Aβ42 oligomer-induced mice exhibited a significant reduction of anxiety- and depression-like behaviors compared to the sedentary Aβ42 oligomer-induced mice utilizing an Elevated zero maze and a Tail suspension test. Moreover, by utilizing 5'-bromodeoxyuridine (BrdU) as an exogenous cell tracer, we found that the exercised Aβ42 oligomer-induced mice displayed a significant increase in newborn cells (BrdU+ cells), which differentiated into a majority of neurons (BrdU+ DCX+ cells or BrdU+NeuN+ cells) and a few of astrocytes (BrdU+GFAP+ cells). Likewise, the exercised Aβ42 oligomer-induced mice also displayed the higher levels of NeuN, PSD95, synaptophysin, Bcl-2 and lower level of GFAP protein. Furthermore, alteration of serum metabolites in transgenic AD mice between the exercised and sedentary group were significantly associated with lipid metabolism, amino acid metabolism, and neurotransmitters. These findings suggest that combined aerobic interval exercise-mediated metabolites and proteins contributed to improving adult neurogenesis and behavioral performance after AD pathology, which might provide a promising therapeutic strategy for AD.
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Affiliation(s)
- Zhi-Tao Liu
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Rehabilitative Department, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang, 315211, PR China; Faculty of Sports Science, Ningbo University, Ningbo, 315211, China
| | - Yu-Tao Ma
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Ningbo Key Laboratory of Behavioral Neuroscience, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China
| | - Shao-Tao Pan
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Ningbo Key Laboratory of Behavioral Neuroscience, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China
| | - Kai Xie
- Rehabilitative Department, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang, 315211, PR China
| | - Wei Shen
- Rehabilitative Department, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang, 315211, PR China
| | - Su-Yang Lin
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Ningbo Key Laboratory of Behavioral Neuroscience, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China
| | - Jun-Yan Gao
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Ningbo Key Laboratory of Behavioral Neuroscience, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China
| | - Wan-Yi Li
- Faculty of Sports Science, Ningbo University, Ningbo, 315211, China
| | - Guang-Yu Li
- Faculty of Sports Science, Ningbo University, Ningbo, 315211, China
| | - Qin-Wen Wang
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Ningbo Key Laboratory of Behavioral Neuroscience, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China.
| | - Li-Ping Li
- Department of Physiology and Pharmacology, Ningbo University School of Medicine, Ningbo, Zhejiang, 315211, PR China; Rehabilitative Department, The Affiliated Hospital of Medical School, Ningbo University, Ningbo, Zhejiang, 315211, PR China; Key Laboratory of Addiction Research of Zhejiang Province, Ningbo, Zhejiang, 315010, PR China.
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Garrett LR, Niccoli T. Frontotemporal Dementia and Glucose Metabolism. Front Neurosci 2022; 16:812222. [PMID: 35281504 PMCID: PMC8906510 DOI: 10.3389/fnins.2022.812222] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 01/18/2022] [Indexed: 12/02/2022] Open
Abstract
Frontotemporal dementia (FTD), hallmarked by antero-temporal degeneration in the human brain, is the second most common early onset dementia. FTD is a diverse disease with three main clinical presentations, four different identified proteinopathies and many disease-associated genes. The exact pathophysiology of FTD remains to be elucidated. One common characteristic all forms of FTD share is the dysregulation of glucose metabolism in patients’ brains. The brain consumes around 20% of the body’s energy supply and predominantly utilizes glucose as a fuel. Glucose metabolism dysregulation could therefore be extremely detrimental for neuronal health. Research into the association between glucose metabolism and dementias has recently gained interest in Alzheimer’s disease. FTD also presents with glucose metabolism dysregulation, however, this remains largely an unexplored area. A better understanding of the link between FTD and glucose metabolism may yield further insight into FTD pathophysiology and aid the development of novel therapeutics. Here we review our current understanding of FTD and glucose metabolism in the brain and discuss the evidence of impaired glucose metabolism in FTD. Lastly, we review research potentially suggesting a causal relationship between FTD proteinopathies and impaired glucose metabolism in FTD.
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