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Verdoodt F, Bhatti SFM, Kragic K, Van Ham L, Vanhaecke L, Hesta M, Hemeryck LY. Towards a better understanding of idiopathic epilepsy through metabolic fingerprinting of cerebrospinal fluid in dogs. Sci Rep 2024; 14:14750. [PMID: 38926488 PMCID: PMC11208596 DOI: 10.1038/s41598-024-64777-z] [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: 02/05/2024] [Accepted: 06/12/2024] [Indexed: 06/28/2024] Open
Abstract
Cerebrospinal fluid metabolomics is a promising research technology in the elucidation of nervous system disorders. Therefore, in this work, a cerebrospinal fluid (CSF) metabolomics method using liquid chromatography coupled to mass spectrometry was optimized and validated to cover a wide range of metabolites. An acceptable coefficient of variance regarding instrumental, within-lab and intra-assay precision was found for 95, 70 and 96 of 102 targeted metabolites, together with 1256, 676 and 976 untargeted compounds, respectively. Moreover, approximately 75% of targeted metabolites and 50% of untargeted compounds displayed good linearity across different dilution ranges. Consequently, metabolic alterations in CSF of dogs with idiopathic epilepsy (IE) were studied by comparing CSF of dogs diagnosed with IE (Tier II) to dogs with non-brain related disease. Targeted metabolome analysis revealed higher levels of cortisol, creatinine, glucose, hippuric acid, mannose, pantothenol, and 2-phenylethylamine (P values < 0.05) in CSF of dogs with IE, whereas CSF of dogs with IE showed lower levels of spermidine (P value = 0.02). Untargeted CSF metabolic fingerprints discriminated dogs with IE from dogs with non-brain related disease using Orthogonal Partial Least Squares Discriminant Analysis (R2(Y) = 0.997, Q2(Y) = 0.828), from which norepinephrine was putatively identified as an important discriminative metabolite.
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Affiliation(s)
- Fien Verdoodt
- Equine and Companion Animal Nutrition, Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
- Small Animal Department, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
- Laboratory of Integrative Metabolomics, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Sofie F M Bhatti
- Small Animal Department, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Karla Kragic
- Equine and Companion Animal Nutrition, Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Luc Van Ham
- Small Animal Department, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Lynn Vanhaecke
- Laboratory of Integrative Metabolomics, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Myriam Hesta
- Equine and Companion Animal Nutrition, Department of Morphology, Imaging, Orthopedics, Rehabilitation and Nutrition, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium
| | - Lieselot Y Hemeryck
- Laboratory of Integrative Metabolomics, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.
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Liu X, Zhang C, Huang J, Liu H, Li B, Zhang F, Xu C. Biomarkers identification in follicular fluid in relation to live birth in in vitro fertilization of women with polycystic ovary syndrome in different subtypes by using UPLC-MS method. Clin Chim Acta 2024; 557:117860. [PMID: 38508572 DOI: 10.1016/j.cca.2024.117860] [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: 08/09/2023] [Revised: 02/15/2024] [Accepted: 03/04/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Polycystic ovary syndrome (PCOS) is a common infertility disorder which affects reproductive-aged women. However, metabolic change profiles of follicular fluid (FF) in lean and obese women diagnosed with and without PCOS remains unclear. METHODS 95 infertile women were divided into four subgroups: LC (lean control), OC (overweight control), LP (lean PCOS), and OP (overweight PCOS). The FF samples were collected during oocyte retrieval and assayed by ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) metabolomics. RESULTS A total of 236 metabolites were identified by metabolic analysis. The pathway enrichment analysis revealed that the glycerophospholipid metabolism (impact = 0.11182), ether lipid metabolism (impact = 0.14458), and primary bile acid biosynthesis (impact = 0.03267) were related to metabolic pathway between PCOS and control. Correlation analyses showed that epitestosterone sulfate was found positively correlated with fertilization rate in PCOS, while falcarindione, lucidone C. and notoginsenoside I was found to be negatively correlated. The combined four biomarkers including lucidone C, epitestosterone sulfate, falcarindione, and notoginsenoside I was better in predicting live birth rate, with AUC of 0.779. CONCLUSION The follicular fluid of women with PCOS showed unique metabolic characteristics. Our study provides better identification of PCOS follicular fluid metabolic dynamics, which may serve as potential biomarkers of live birth.
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Affiliation(s)
- Xitong Liu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai 200011, China; Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai 200032, China
| | - Chen Zhang
- Department of Hematology, Tangdu Hospital, Xi'an, Shaanxi, China
| | - Jianlei Huang
- Department of Obstetrics and Gynecology, Tangdu Hospital, the Fourth Military Medical University, Xi'an 710038, China
| | - Haiou Liu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai 200011, China; Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai 200032, China
| | - Bo Li
- Department of Obstetrics and Gynecology, Tangdu Hospital, the Fourth Military Medical University, Xi'an 710038, China.
| | - Feifei Zhang
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai 200011, China; Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai 200032, China.
| | - Congjian Xu
- Obstetrics and Gynecology Hospital, Fudan University, Shanghai 200011, China; Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai 200011, China; Department of Obstetrics and Gynecology of Shanghai Medical School, Fudan University, Shanghai 200032, China.
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Pautova AK. Metabolic Profiling of Aromatic Compounds. Metabolites 2024; 14:107. [PMID: 38392999 PMCID: PMC10890443 DOI: 10.3390/metabo14020107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 02/02/2024] [Indexed: 02/25/2024] Open
Abstract
Metabolic profiling is a powerful modern tool in searching for novel biomarkers and indicators of normal or pathological processes in the body [...].
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Affiliation(s)
- Alisa K Pautova
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, 25-2 Petrovka Str., 107031 Moscow, Russia
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de Souza HMR, Pereira TTP, de Sá HC, Alves MA, Garrett R, Canuto GAB. Critical Factors in Sample Collection and Preparation for Clinical Metabolomics of Underexplored Biological Specimens. Metabolites 2024; 14:36. [PMID: 38248839 PMCID: PMC10819689 DOI: 10.3390/metabo14010036] [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: 11/24/2023] [Revised: 01/02/2024] [Accepted: 01/03/2024] [Indexed: 01/23/2024] Open
Abstract
This review article compiles critical pre-analytical factors for sample collection and extraction of eight uncommon or underexplored biological specimens (human breast milk, ocular fluids, sebum, seminal plasma, sweat, hair, saliva, and cerebrospinal fluid) under the perspective of clinical metabolomics. These samples are interesting for metabolomics studies as they reflect the status of living organisms and can be applied for diagnostic purposes and biomarker discovery. Pre-collection and collection procedures are critical, requiring protocols to be standardized to avoid contamination and bias. Such procedures must consider cleaning the collection area, sample stimulation, diet, and food and drug intake, among other factors that impact the lack of homogeneity of the sample group. Precipitation of proteins and removal of salts and cell debris are the most used sample preparation procedures. This review intends to provide a global view of the practical aspects that most impact results, serving as a starting point for the designing of metabolomic experiments.
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Affiliation(s)
- Hygor M. R. de Souza
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
| | - Tássia T. P. Pereira
- Departamento de Genética, Ecologia e Evolucao, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil;
- Departamento de Biodiversidade, Evolução e Meio Ambiente, Universidade Federal de Ouro Preto, Ouro Preto 35400-000, Brazil
| | - Hanna C. de Sá
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
| | - Marina A. Alves
- Instituto de Pesquisa de Produtos Naturais Walter Mors, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-599, Brazil;
| | - Rafael Garrett
- Instituto de Química, Universidade Federal do Rio de Janeiro, LabMeta—LADETEC, Rio de Janeiro 21941-598, Brazil;
- Department of Laboratory Medicine, Boston Children’s Hospital—Harvard Medical School, Boston, MA 02115, USA
| | - Gisele A. B. Canuto
- Departamento de Química Analítica, Instituto de Química, Universidade Federal da Bahia, Salvador 40170-115, Brazil;
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Li Y, Jia K, Pan Y, Han J, Chen J, Wang Y, Ma X, Chen H, Wang S, Xie D, Xiong C, Nie Z. Pocket-Size Wireless Nanoelectrospray Ionization Mass Spectrometry for Metabolic Analysis of Salty Biofluids and Single Cells. Anal Chem 2023; 95:4612-4618. [PMID: 36862115 DOI: 10.1021/acs.analchem.2c04268] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
Analysis of volume-limited biological samples such as single cells and biofluids not only benefits clinical purposes but also promotes fundamental research in life sciences. Detection of these samples, however, imposes strict requirements on measurement performance because of the minimal volume and concentrated salts of the samples. Herein, we developed a self-cleaning nanoelectrospray ionization device powered by a pocket-size "MasSpec Pointer" (MSP-nanoESI) for metabolic analysis of salty biological samples with limited volume. The self-cleaning effect induced by Maxwell-Wagner electric stress helps with keeping the borosilicate glass capillary tip free from clogging and thus increasing salt tolerance. This device possesses a high sample economy (about 0.1 μL per test) due to its pulsed high voltage supply, sampling method (dipping the nanoESI tip into analyte solution), and contact-free electrospray ionization (ESI) (the electrode does not touch the analyte solution during ESI). High repeatable results could be acquired by the device with a relative standard deviation (RSD) of 1.02% for voltage output and 12.94% for MS signals of caffeine standard. Single MCF-7 cells were metabolically analyzed directly from phosphate buffered saline, and two types of untreated cerebrospinal fluid from hydrocephalus patients were distinguished with 84% accuracy. MSP-nanoESI gets rid of the bulky apparatus and could be held in hand or put into one's pocket for transportation, and it could operate for more than 4 h without recharge. We believe this device will boost scientific research and clinical usage of volume-limited biological samples with high-concentration salts in a low-cost, convenient, and rapid manner.
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Affiliation(s)
- Yuze Li
- State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China.,Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Ke Jia
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yixin Pan
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jing Han
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Junyu Chen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yiran Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiaobing Ma
- Aerospace Information Research Institute, Chinese Academy of Sciences Beijing 100094, China
| | - Hongwei Chen
- Department of Neurosurgery for Cerebrospinal Fluid Diseases, Aviation General Hospital, Beijing 100012, China
| | - Shengjie Wang
- Department of Neurosurgery for Cerebrospinal Fluid Diseases, Aviation General Hospital, Beijing 100012, China
| | - Dongcheng Xie
- Department of Neurosurgery for Cerebrospinal Fluid Diseases, Aviation General Hospital, Beijing 100012, China
| | - Caiqiao Xiong
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Zongxiu Nie
- State Key Laboratory of High-efficiency Utilization of Coal and Green Chemical Engineering, College of Chemistry and Chemical Engineering, Ningxia University, Yinchuan 750021, China.,Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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Wu Z, Fang L, Liu B, Jia Q, Cheng JC, Sun YP. Biomarkers identification in follicular fluid of women with OHSS by using UPLC-MS method. Front Endocrinol (Lausanne) 2023; 14:1131771. [PMID: 36967756 PMCID: PMC10031058 DOI: 10.3389/fendo.2023.1131771] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 02/21/2023] [Indexed: 03/29/2023] Open
Abstract
To figure out the differentially changed metabolites and disturbed pathways in follicular fluid (FF) of patients with OHSS in comparison to the control group undergoing in vitro fertilization (IVF), we conducted this metabolomic analysis between two groups, the OHSS group included 30 patients treated with oocyte retrieval and developed OHSS in the next 7-14 days, while another 30 patients without OHSS tendency were selected as the control group. The FF samples were obtained during the process of oocyte retrieval. FF samples were analyzed using ultra-high liquid chromatography-tandem mass spectrometry (UPLC-MS). The results identified a total of 59 differentially changed metabolites, including 33 decreased metabolites (P < 0.01) and 26 increased metabolites (P < 0.01) in FF of OHSS compared with the control group. 12 metabolites could be the most valuable biomarkers for OHSS based on ROC results. Our correlation analyses showed that deoxyinosine levels were found positively correlated with serum estradiol (E2) levels in OHSS patients, while L-isoleucine, pyruvic acid, maleamate, and arachidonic acid were found to be positively correlated with the number of retrieved oocytes. Furthermore, 4-hydroxyphenylacetaldehyde, deoxycorticosterone, creatinine, and creatine were found to be negatively associated with serum E2 levels, while 4-hydroxyphenylacetaldehyde, L-carnitine, isovaleric acid and L-2-hydroxyglutaric acid were negatively related with the number of oocytes retrieved in OHSS patients. Taken together, our study provides better identification of OHSS FF metabolic dynamics, suggesting the metabolic compounds can be used as valuable predictors or treatment targets of OHSS.
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Affiliation(s)
| | - Lanlan Fang
- *Correspondence: Ying-Pu Sun, ; Lanlan Fang,
| | | | | | | | - Ying-Pu Sun
- *Correspondence: Ying-Pu Sun, ; Lanlan Fang,
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Wei S, Wei Y, Gong Y, Chen Y, Cui J, Li L, Yan H, Yu Y, Lin X, Li G, Yi L. Metabolomics as a valid analytical technique in environmental exposure research: application and progress. Metabolomics 2022; 18:35. [PMID: 35639180 DOI: 10.1007/s11306-022-01895-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 05/06/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND In recent years, studies have shown that exposure to environmental pollutants (e.g., radiation, heavy metal substances, air pollutants, organic pollutants) is a leading cause of human non-communicable diseases. The key to disease prevention is to clarify the harmful mechanisms and toxic effects of environmental pollutants on the body. Metabolomics is a high-sensitivity, high-throughput omics technology that can obtain detailed metabolite information of an organism. It is a crucial tool for gaining a comprehensive understanding of the pathway network regulation mechanism of the organism. Its application is widespread in many research fields such as environmental exposure assessment, medicine, systems biology, and biomarker discovery. AIM OF REVIEW Recent findings show that metabolomics can be used to obtain molecular snapshots of organisms after environmental exposure, to help understand the interaction between environmental exposure and organisms, and to identify potential biomarkers and biological mechanisms. KEY SCIENTIFIC CONCEPTS OF REVIEW This review focuses on the application of metabolomics to understand the biological effects of radiation, heavy metals, air pollution, and persistent organic pollutants exposure, and examines some potential biomarkers and toxicity mechanisms.
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Affiliation(s)
- Shuang Wei
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yuanyun Wei
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yaqi Gong
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Yonglin Chen
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Jian Cui
- Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Linwei Li
- Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Hongxia Yan
- Hengyang Medical School, The Second Affiliated Hospital, University of South China, Hengyang, 421001, Hunan, China
| | - Yueqiu Yu
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Xiang Lin
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Guoqing Li
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - Lan Yi
- Key Laboratory of Ecological Environment and Critical Human Diseases Prevention of Hunan Province, The Hengyang Key Laboratory of Cellular Stress Biology, Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Department of Education, Institute of Cytology and Genetics, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
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Zhao Y, Yang Y, Wang D, Wang J, Gao W. Cerebrospinal Fluid Amino Acid Metabolite Signatures of Diabetic Cognitive Dysfunction Based on Targeted Mass Spectrometry. J Alzheimers Dis 2022; 86:1655-1665. [PMID: 35213384 DOI: 10.3233/jad-215725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Diabetic cognitive dysfunction (DCD) is one of severe diabetic complications and might develop to irreversible dementia. Early diagnosis and detection of DCD is significant for prevention and treatment. OBJECTIVE The main objective of this study was to investigate the amino acid profiles of rat with DCD in the cerebrospinal fluid (CSF) to distinguish the early specific biomarkers. METHODS In total, rats were assigned into control and model groups. Model was induced by intraperitoneal injection of streptozotocin. The Morris water maze (MWM) method was used to evaluate learning and memory in rats on the 13th week after the model established. CSF samples were collected via cisterna magna puncture at the 0th, 5th, 9th, and 13th week, and amino acids profiling of CSF samples were performed via ultra performance liquid chromatography multiple reaction monitoring mass spectrometry (UPLC-MRM-MS). The amino acid profile was processed through multivariate analysis to identify potential biomarkers, and the related metabolic pathways were analyzed by MetaboAnalyst 5.0. RESULTS Compared to the control group, the escape latency of the MWM was significantly prolonged in model group rats (p < 0.05). Different amino acid profiles were obtained between two groups. L-Alanine, L-Glutamine, L-Lysine, L-Serine, and L-Threonine were identified as potential biomarkers for DCD. These biomarkers are principally involved in glycine, serine, and threonine metabolism, aminoacyl-tRNA biosynthesis, alanine, aspartate, and glutamate metabolism, and glyoxylate and dicarboxylate metabolism. CONCLUSION There are amino acid biomarkers in the CSF of rat with DCD. The mechanism of DCD is related to those pathways, which provide help for the early diagnosis and treatment and mechanism research.
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Affiliation(s)
- Ying Zhao
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Yang Yang
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Dongxue Wang
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Jie Wang
- College of Pharmacy, Harbin University of Commerce, Harbin, China
| | - Weiying Gao
- College of Pharmacy, Harbin University of Commerce, Harbin, China
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