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Talavera Andújar B, Mary A, Venegas C, Cheng T, Zaslavsky L, Bolton EE, Heneka MT, Schymanski EL. Can Small Molecules Provide Clues on Disease Progression in Cerebrospinal Fluid from Mild Cognitive Impairment and Alzheimer's Disease Patients? ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:4181-4192. [PMID: 38373301 PMCID: PMC10919072 DOI: 10.1021/acs.est.3c10490] [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: 12/12/2023] [Revised: 01/24/2024] [Accepted: 01/31/2024] [Indexed: 02/21/2024]
Abstract
Alzheimer's disease (AD) is a complex and multifactorial neurodegenerative disease, which is currently diagnosed via clinical symptoms and nonspecific biomarkers (such as Aβ1-42, t-Tau, and p-Tau) measured in cerebrospinal fluid (CSF), which alone do not provide sufficient insights into disease progression. In this pilot study, these biomarkers were complemented with small-molecule analysis using non-target high-resolution mass spectrometry coupled with liquid chromatography (LC) on the CSF of three groups: AD, mild cognitive impairment (MCI) due to AD, and a non-demented (ND) control group. An open-source cheminformatics pipeline based on MS-DIAL and patRoon was enhanced using CSF- and AD-specific suspect lists to assist in data interpretation. Chemical Similarity Enrichment Analysis revealed a significant increase of hydroxybutyrates in AD, including 3-hydroxybutanoic acid, which was found at higher levels in AD compared to MCI and ND. Furthermore, a highly sensitive target LC-MS method was used to quantify 35 bile acids (BAs) in the CSF, revealing several statistically significant differences including higher dehydrolithocholic acid levels and decreased conjugated BA levels in AD. This work provides several promising small-molecule hypotheses that could be used to help track the progression of AD in CSF samples.
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Affiliation(s)
- Begoña Talavera Andújar
- Luxembourg
Centre for Systems Biomedicine (LCSB), University
of Luxembourg, Avenue du Swing 6, L-4367 Belvaux, Luxembourg
| | - Arnaud Mary
- Luxembourg
Centre for Systems Biomedicine (LCSB), University
of Luxembourg, Avenue du Swing 6, L-4367 Belvaux, Luxembourg
| | - Carmen Venegas
- Luxembourg
Centre for Systems Biomedicine (LCSB), University
of Luxembourg, Avenue du Swing 6, L-4367 Belvaux, Luxembourg
| | - Tiejun Cheng
- National
Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States
| | - Leonid Zaslavsky
- National
Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States
| | - Evan E. Bolton
- National
Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland 20894, United States
| | - Michael T. Heneka
- Luxembourg
Centre for Systems Biomedicine (LCSB), University
of Luxembourg, Avenue du Swing 6, L-4367 Belvaux, Luxembourg
| | - Emma L. Schymanski
- Luxembourg
Centre for Systems Biomedicine (LCSB), University
of Luxembourg, Avenue du Swing 6, L-4367 Belvaux, Luxembourg
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2
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Radoszkiewicz K, Bzinkowska A, Chodkowska M, Rybkowska P, Sypecka M, Zembrzuska-Kaska I, Sarnowska A. Deciphering the impact of cerebrospinal fluid on stem cell fate as a new mechanism to enhance clinical therapy development. Front Neurosci 2024; 17:1332751. [PMID: 38282622 PMCID: PMC10811009 DOI: 10.3389/fnins.2023.1332751] [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: 11/03/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024] Open
Abstract
Neural stem cells (NSCs) hold a very significant promise as candidates for cell therapy due to their robust neuroprotective and regenerative properties. Preclinical studies using NSCs have shown enough encouraging results to perform deeper investigations into more potential clinical applications. Nevertheless, our knowledge regarding neurogenesis and its underlying mechanisms remains incomplete. To understand them better, it seems necessary to characterize all components of neural stem cell niche and discover their role in physiology and pathology. Using NSCs in vivo brings challenges including limited cell survival and still inadequate integration within host tissue. Identifying overlooked factors that might influence these outcomes becomes pivotal. In this review, we take a deeper examination of the influence of a fundamental element that is present in the brain, the cerebrospinal fluid (CSF), which still remains relatively unexplored. Its role in neurogenesis could be instrumental to help find novel therapeutic solutions for neurological disorders, eventually advancing our knowledge on central nervous system (CNS) regeneration and repair.
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Affiliation(s)
| | | | | | | | | | | | - Anna Sarnowska
- Translational Platform for Regenerative Medicine, Mossakowski Medical Research Institute, Polish Academy of Sciences, Warsaw, Poland
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3
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Petrova B, Lacey TE, Culhane AJ, Cui J, Raskin A, Misra A, Lehtinen MK, Kanarek N. Metabolomics of Mouse Embryonic CSF Following Maternal Immune Activation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.12.06.570507. [PMID: 38105934 PMCID: PMC10723469 DOI: 10.1101/2023.12.06.570507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
The cerebrospinal fluid (CSF) serves various roles in the developing central nervous system (CNS), from neurogenesis to lifelong cognitive functions. Changes in CSF composition due to inflammation can impact brain function. We recently identified an abnormal cytokine signature in embryonic CSF (eCSF) following maternal immune activation (MIA), a mouse model of autism spectrum disorder (ASD). We hypothesized that MIA leads to other alterations in eCSF composition and employed untargeted metabolomics to profile changes in the eCSF metabolome in mice after inducing MIA with polyI:C. We report these data here as a resource, include a comprehensive MS1 and MS2 reference dataset, and present additional datasets comparing two mouse strains (CD-1 and C57Bl/6) and two developmental time points (E12.5 and E14.5). Targeted metabolomics further validated changes upon MIA. We show a significant elevation of glucocorticoids and kynurenine pathway related metabolites. Both pathways are relevant for suppressing inflammation or could be informative as disease biomarkers. Our resource should inform future mechanistic studies regarding the etiology of MIA neuropathology and roles and contributions of eCSF metabolites to brain development.
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Edelbo BL, Andreassen SN, Steffensen AB, MacAulay N. Day-night fluctuations in choroid plexus transcriptomics and cerebrospinal fluid metabolomics. PNAS NEXUS 2023; 2:pgad262. [PMID: 37614671 PMCID: PMC10443925 DOI: 10.1093/pnasnexus/pgad262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/06/2023] [Accepted: 07/31/2023] [Indexed: 08/25/2023]
Abstract
The cerebrospinal fluid (CSF) provides mechanical protection for the brain and serves as a brain dispersion route for nutrients, hormones, and metabolic waste. The CSF secretion rate is elevated in the dark phase in both humans and rats, which could support the CSF flow along the paravascular spaces that may be implicated in waste clearance. The similar diurnal CSF dynamics pattern observed in the day-active human and the nocturnal rat suggests a circadian regulation of this physiological variable, rather than sleep itself. To obtain a catalog of potential molecular drivers that could provide the day-night-associated modulation of the CSF secretion rate, we determined the diurnal fluctuation in the rat choroid plexus transcriptomic profile with RNA-seq and in the CSF metabolomics with ultraperformance liquid chromatography combined with mass spectrometry. We detected significant fluctuation of 19 CSF metabolites and differential expression of 2,778 choroid plexus genes between the light and the dark phase, the latter of which encompassed circadian rhythm-related genes and several choroid plexus transport mechanisms. The fluctuating components were organized with joint pathway analysis, of which several pathways demonstrated diurnal regulation. Our results illustrate substantial transcriptional and metabolic light-dark phase-mediated changes taking place in the rat choroid plexus and its encircling CSF. The combined data provide directions toward future identification of the molecular pathways governing the fluctuation of this physiological process and could potentially be harnessed to modulate the CSF dynamics in pathology.
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Affiliation(s)
| | | | | | - Nanna MacAulay
- Department of Neuroscience, University of Copenhagen, 2200 Copenhagen, Denmark
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5
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Liu FC, Cheng ML, Lo CJ, Hsu WC, Lin G, Lin HT. Exploring the aging process of cognitively healthy adults by analyzing cerebrospinal fluid metabolomics using liquid chromatography-tandem mass spectrometry. BMC Geriatr 2023; 23:217. [PMID: 37020298 PMCID: PMC10077689 DOI: 10.1186/s12877-023-03939-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/29/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND During biological aging, significant metabolic dysregulation in the central nervous system may lead to cognitive decline and neurodegeneration. However, the metabolomics of the aging process in cerebrospinal fluid (CSF) has not been thoroughly explored. METHODS In this cohort study of CSF metabolomics using liquid chromatography-mass spectrometry (LC-MS), fasting CSF samples collected from 92 cognitively unimpaired adults aged 20-87 years without obesity or diabetes were analyzed. RESULTS We identified 37 metabolites in these CSF samples with significant positive correlations with aging, including cysteine, pantothenic acid, 5-hydroxyindoleacetic acid (5-HIAA), aspartic acid, and glutamate; and two metabolites with negative correlations, asparagine and glycerophosphocholine. The combined alterations of asparagine, cysteine, glycerophosphocholine, pantothenic acid, sucrose, and 5-HIAA showed a superior correlation with aging (AUC = 0.982). These age-correlated changes in CSF metabolites might reflect blood-brain barrier breakdown, neuroinflammation, and mitochondrial dysfunction in the aging brain. We also found sex differences in CSF metabolites with higher levels of taurine and 5-HIAA in women using propensity-matched comparison. CONCLUSIONS Our LC-MS metabolomics of the aging process in a Taiwanese population revealed several significantly altered CSF metabolites during aging and between the sexes. These metabolic alterations in CSF might provide clues for healthy brain aging and deserve further exploration.
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Affiliation(s)
- Fu-Chao Liu
- Department of Anesthesiology, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan, 333, Taiwan
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
| | - Mei-Ling Cheng
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chi-Jen Lo
- Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, 333, Taiwan
| | - Wen-Chuin Hsu
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan
- Department of Neurology, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Gigin Lin
- Clinical Metabolomics Core Laboratory, Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Imaging and Intervention, Imaging Core Lab, Chang Gung Memorial Hospital, Taoyuan, 333, Taiwan
| | - Huan-Tang Lin
- Department of Anesthesiology, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan, 333, Taiwan.
- College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
- Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, 333, Taiwan.
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Gas Chromatography-Mass Spectrometry (GC-MS) Metabolites Analysis in Endometriosis Patients: A Prospective Observational Translational Study. J Clin Med 2023; 12:jcm12030922. [PMID: 36769570 PMCID: PMC9918082 DOI: 10.3390/jcm12030922] [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: 11/16/2022] [Revised: 01/04/2023] [Accepted: 01/14/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Endometriosis affects women of reproductive age, and its pathogenesis is still unclear. Typically, it overlaps other similar medical and surgical conditions, determining a delay in early diagnosis. Metabolomics allows studying metabolic changes in different physiological or pathological states to discover new potential biomarkers. We used the gas chromatography-mass spectrometer (GC-MS) to explore metabolic alterations in endometriosis to better understand its pathophysiology and find new biomarkers. METHODS Twenty-two serum samples of patients with symptomatic endometriosis and ten without it were collected and subjected to GC-MS analysis. Multivariate and univariate statistical analyses were performed, followed by pathway analysis. RESULTS Partial least squares discriminant analysis was performed to determine the differences between the two groups (p = 0.003). Threonic acid, 3-hydroxybutyric acid, and proline increased significantly in endometriosis patients, while alanine and valine decreased. ROC curves were built to test the diagnostic power of metabolites. The pathway analysis identified the synthesis and degradation of ketone bodies and the biosynthesis of phenylalanine, tyrosine, and tryptophan as the most altered pathways. CONCLUSIONS The metabolomic approach identifies metabolic alterations in women with endometriosis. These findings may improve our understanding of the pathophysiological mechanisms of disease and the discovery of new biomarkers.
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Poudyal NR, Paul KS. Fatty acid uptake in Trypanosoma brucei: Host resources and possible mechanisms. Front Cell Infect Microbiol 2022; 12:949409. [PMID: 36478671 PMCID: PMC9719944 DOI: 10.3389/fcimb.2022.949409] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 10/24/2022] [Indexed: 11/22/2022] Open
Abstract
Trypanosoma brucei spp. causes African Sleeping Sickness in humans and nagana, a wasting disease, in cattle. As T. brucei goes through its life cycle in its mammalian and insect vector hosts, it is exposed to distinct environments that differ in their nutrient resources. One such nutrient resource is fatty acids, which T. brucei uses to build complex lipids or as a potential carbon source for oxidative metabolism. Of note, fatty acids are the membrane anchoring moiety of the glycosylphosphatidylinositol (GPI)-anchors of the major surface proteins, Variant Surface Glycoprotein (VSG) and the Procyclins, which are implicated in parasite survival in the host. While T. brucei can synthesize fatty acids de novo, it also readily acquires fatty acids from its surroundings. The relative contribution of parasite-derived vs. host-derived fatty acids to T. brucei growth and survival is not known, nor have the molecular mechanisms of fatty acid uptake been defined. To facilitate experimental inquiry into these important aspects of T. brucei biology, we addressed two questions in this review: (1) What is known about the availability of fatty acids in different host tissues where T. brucei can live? (2) What is known about the molecular mechanisms mediating fatty acid uptake in T. brucei? Finally, based on existing biochemical and genomic data, we suggest a model for T. brucei fatty acid uptake that proposes two major routes of fatty acid uptake: diffusion across membranes followed by intracellular trapping, and endocytosis of host lipoproteins.
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Affiliation(s)
- Nava Raj Poudyal
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, United States,Eukaryotic Pathogens Innovation Center (EPIC), Clemson University, Clemson, SC, United States
| | - Kimberly S. Paul
- Department of Genetics and Biochemistry, Clemson University, Clemson, SC, United States,Eukaryotic Pathogens Innovation Center (EPIC), Clemson University, Clemson, SC, United States,*Correspondence: Kimberly S. Paul,
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8
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Weiner S, Sauer M, Visser PJ, Tijms BM, Vorontsov E, Blennow K, Zetterberg H, Gobom J. Optimized sample preparation and data analysis for TMT proteomic analysis of cerebrospinal fluid applied to the identification of Alzheimer's disease biomarkers. Clin Proteomics 2022; 19:13. [PMID: 35568819 PMCID: PMC9107710 DOI: 10.1186/s12014-022-09354-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/11/2022] [Indexed: 12/15/2022] Open
Abstract
Background Cerebrospinal fluid (CSF) is an important biofluid for biomarkers of neurodegenerative diseases such as Alzheimer’s disease (AD). By employing tandem mass tag (TMT) proteomics, thousands of proteins can be quantified simultaneously in large cohorts, making it a powerful tool for biomarker discovery. However, TMT proteomics in CSF is associated with analytical challenges regarding sample preparation and data processing. In this study we address those challenges ranging from data normalization over sample preparation to sample analysis. Method Using liquid chromatography coupled to mass-spectrometry (LC–MS), we analyzed TMT multiplex samples consisting of either identical or individual CSF samples, evaluated quantification accuracy and tested the performance of different data normalization approaches. We examined MS2 and MS3 acquisition strategies regarding accuracy of quantification and performed a comparative evaluation of filter-assisted sample preparation (FASP) and an in-solution protocol. Finally, four normalization approaches (median, quantile, Total Peptide Amount, TAMPOR) were applied to the previously published European Medical Information Framework Alzheimer’s Disease Multimodal Biomarker Discovery (EMIF-AD MBD) dataset. Results The correlation of measured TMT reporter ratios with spiked-in standard peptide amounts was significantly lower for TMT multiplexes composed of individual CSF samples compared with those composed of aliquots of a single CSF pool, demonstrating that the heterogeneous CSF sample composition influences TMT quantitation. Comparison of TMT reporter normalization methods showed that the correlation could be improved by applying median- and quantile-based normalization. The slope was improved by acquiring data in MS3 mode, albeit at the expense of a 29% decrease in the number of identified proteins. FASP and in-solution sample preparation of CSF samples showed a 73% overlap in identified proteins. Finally, using optimized data normalization, we present a list of 64 biomarker candidates (clinical AD vs. controls, p < 0.01) identified in the EMIF-AD cohort. Conclusion We have evaluated several analytical aspects of TMT proteomics in CSF. The results of our study provide practical guidelines to improve the accuracy of quantification and aid in the design of sample preparation and analytical protocol. The AD biomarker list extracted from the EMIF-AD cohort can provide a valuable basis for future biomarker studies and help elucidate pathogenic mechanisms in AD. Supplementary Information The online version contains supplementary material available at 10.1186/s12014-022-09354-0.
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Affiliation(s)
- Sophia Weiner
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.
| | - Mathias Sauer
- Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Pieter Jelle Visser
- Department of Psychiatry and Neuropsychology, Alzheimer Centrum Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands.,Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands.,Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden
| | - Betty M Tijms
- Department of Neurology, Alzheimer Center Amsterdam, Amsterdam Neurosciences, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Egor Vorontsov
- Proteomics Core Facility, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute, London, UK.,Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
| | - Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Lab, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Mölndal, Sweden
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Parihar R, Shukla R, Baishya B, Kalita J, Haldar R, Misra UK. NMR based CSF metabolomics in tuberculous meningitis: correlation with clinical and MRI findings. Metab Brain Dis 2022; 37:773-785. [PMID: 35029797 DOI: 10.1007/s11011-021-00860-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/23/2021] [Indexed: 10/19/2022]
Abstract
We report the potential role of 1H Nuclear Magnetic Resonance (NMR) based metabolomics in tuberculous meningitis (TBM). We also correlate the significant metabolites with clinical-radiological parameters. Forty-three patients with TBM were included, and their severity of meningitis was graded as stages I to III, and patients with positive Mycobacterium tuberculosis or its nucleic acid was considered as definite TBM. 1H NMR-based metabolomic study was performed on (CSF) samples, and the significant metabolites compared to healthy controls were identified. Outcome at three months was defined as death, poor and good based on the modified Rankin Scale. These metabolites were compared between definite and probable groups of TBM, and also correlated with MRI findings. About 11 metabolites were found to be significant for distinguishing TBM from the controls. In TBM, lactate, glutamate, alanine, arginine, 2-hydroxyisobutyrate, formate, and cis-aconitate were upregulated, and glucose, fructose, glutamine, and myo-inositol were downregulated compared to the controls. For differentiating TBM from the controls, the AUC of the ROC curve generated using these significant metabolites was 0.99, with a 95% confidence interval from 0.96 to 1, demonstrating that these metabolites were able to classify cases with good sensitivity and specificity. Lactate concentration in CSF correlated with hemoglobin, CSF glucose, and infarction. The outcome did not correlate with metabolomics parameters. NMR-based CSF metabolomics have a potential role in differentiating TBM from the controls.
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Affiliation(s)
- Rashmi Parihar
- Centre of Biomedical Research, Lucknow, Uttar Pradesh, 226014, India
- Department of Bioinformatics, Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India
| | - Ruchi Shukla
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India
| | - Bikash Baishya
- Centre of Biomedical Research, Lucknow, Uttar Pradesh, 226014, India.
| | - Jayantee Kalita
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India.
| | - Rudrashish Haldar
- Department of Anaesthesiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Usha Kant Misra
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India
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Pekmezovic M, Kaune AK, Austermeier S, Hitzler SUJ, Mogavero S, Hovhannisyan H, Gabaldón T, Gresnigt MS, Hube B. Human albumin enhances the pathogenic potential of Candida glabrata on vaginal epithelial cells. PLoS Pathog 2021; 17:e1010037. [PMID: 34710198 PMCID: PMC8577789 DOI: 10.1371/journal.ppat.1010037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/09/2021] [Accepted: 10/15/2021] [Indexed: 12/15/2022] Open
Abstract
The opportunistic pathogen Candida glabrata is the second most frequent causative agent of vulvovaginal candidiasis (VVC), a disease that affects 70–75% of women at least once during their life. However, C. glabrata is almost avirulent in mice and normally incapable of inflicting damage to vaginal epithelial cells in vitro. We thus proposed that host factors present in vivo may influence C. glabrata pathogenicity. We, therefore, analyzed the impact of albumin, one of the most abundant proteins of the vaginal fluid. The presence of human, but not murine, albumin dramatically increased the potential of C. glabrata to damage vaginal epithelial cells. This effect depended on macropinocytosis-mediated epithelial uptake of albumin and subsequent proteolytic processing. The enhanced pathogenicity of C. glabrata can be explained by a combination of beneficial effects for the fungus, which includes an increased access to iron, accelerated growth, and increased adhesion. Screening of C. glabrata deletion mutants revealed that Hap5, a key regulator of iron homeostasis, is essential for the albumin-augmented damage potential. The albumin-augmented pathogenicity was reversed by the addition of iron chelators and a similar increase in pathogenicity was shown by increasing the iron availability, confirming a key role of iron. Accelerated growth not only led to higher cell numbers, but also to increased fungal metabolic activity and oxidative stress resistance. Finally, the albumin-driven enhanced damage potential was associated with the expression of distinct C. glabrata virulence genes. Transcriptional responses of the epithelial cells suggested an unfolded protein response (UPR) and ER-stress responses combined with glucose starvation induced by fast growing C. glabrata cells as potential mechanisms by which cytotoxicity is mediated.Collectively, we demonstrate that albumin augments the pathogenic potential of C. glabrata during interaction with vaginal epithelial cells. This suggests a role for albumin as a key player in the pathogenesis of VVC. Candida glabrata is the overall second causative species of candidiasis in humans, but little is known about the pathogenicity mechanisms of this yeast. C. glabrata is capable of causing lethal systemic candidiasis mostly in elderly immunocompromised patients, but is also a frequent cause of vulvovaginal candidiasis. These clinical insights suggest that C. glabrata has a high virulence potential, yet little pathogenicity is observed in both in vitro and in vivo infection models. The finding that human albumin, the most abundant protein in the human body, is boosting C. glabrata pathogenicity in vitro provides novel insights into C. glabrata pathogenicity mechanisms and shows that the presence of distinct human factors can have a significant influence on the virulence potential of a pathogenic microbe.
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Affiliation(s)
- Marina Pekmezovic
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
| | - Ann-Kristin Kaune
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
| | - Sophie Austermeier
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
| | - Sophia U. J. Hitzler
- Junior Research Group Adaptive Pathogenicity Strategies, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
| | - Selene Mogavero
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
| | - Hrant Hovhannisyan
- Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Mechanisms of Disease Department, Institute for Research in Biomedicine (IRB), Barcelona, Spain
| | - Toni Gabaldón
- Life Sciences Department, Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Mechanisms of Disease Department, Institute for Research in Biomedicine (IRB), Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Mark S. Gresnigt
- Junior Research Group Adaptive Pathogenicity Strategies, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
- * E-mail: (MSG); (BH)
| | - Bernhard Hube
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knoell Institute, Jena, Germany
- Institute of Microbiology, Friedrich Schiller University, Jena, Germany
- * E-mail: (MSG); (BH)
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Multi-Omics Approach to Elucidate Cerebrospinal Fluid Changes in Dogs with Intervertebral Disc Herniation. Int J Mol Sci 2021; 22:ijms222111678. [PMID: 34769107 PMCID: PMC8583948 DOI: 10.3390/ijms222111678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/19/2021] [Accepted: 10/25/2021] [Indexed: 12/16/2022] Open
Abstract
Herniation of the intervertebral disc (IVDH) is the most common cause of neurological and intervertebral disc degeneration-related diseases. Since the disc starts to degenerate before it can be observed by currently available diagnostic methods, there is an urgent need for novel diagnostic approaches. To identify molecular networks and pathways which may play important roles in intervertebral disc herniation, as well as to reveal the potential features which could be useful for monitoring disease progression and prognosis, multi-omics profiling, including high-resolution liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and tandem mass tag (TMT)-based proteomics was performed. Cerebrospinal fluid of nine dogs with IVDH and six healthy controls were used for the analyses, and an additional five IVDH samples were used for proteomic data validation. Furthermore, multi-omics data were integrated to decipher a complex interaction between individual omics layers, leading to an improved prediction model. Together with metabolic pathways related to amino acids and lipid metabolism and coagulation cascades, our integromics prediction model identified the key features in IVDH, namely the proteins follistatin Like 1 (FSTL1), secretogranin V (SCG5), nucleobindin 1 (NUCB1), calcitonin re-ceptor-stimulating peptide 2 precursor (CRSP2) and the metabolites N-acetyl-D-glucosamine and adenine, involved in neuropathic pain, myelination, and neurotransmission and inflammatory response, respectively. Their clinical application is to be further investigated. The utilization of a novel integrative interdisciplinary approach may provide new opportunities to apply innovative diagnostic and monitoring methods as well as improve treatment strategies and personalized care for patients with degenerative spinal disorders.
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Pautova A, Burnakova N, Revelsky A. Metabolic Profiling and Quantitative Analysis of Cerebrospinal Fluid Using Gas Chromatography-Mass Spectrometry: Current Methods and Future Perspectives. Molecules 2021; 26:3597. [PMID: 34208377 PMCID: PMC8231178 DOI: 10.3390/molecules26123597] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 06/08/2021] [Accepted: 06/09/2021] [Indexed: 11/17/2022] Open
Abstract
Cerebrospinal fluid is a key biological fluid for the investigation of new potential biomarkers of central nervous system diseases. Gas chromatography coupled to mass-selective detectors can be used for this investigation at the stages of metabolic profiling and method development. Different sample preparation conditions, including extraction and derivatization, can be applied for the analysis of the most of low-molecular-weight compounds of the cerebrospinal fluid, including metabolites of tryptophan, arachidonic acid, glucose; amino, polyunsaturated fatty and other organic acids; neuroactive steroids; drugs; and toxic metabolites. The literature data analysis revealed the absence of fully validated methods for cerebrospinal fluid analysis, and it presents opportunities for scientists to develop and validate analytical protocols using modern sample preparation techniques, such as microextraction by packed sorbent, dispersive liquid-liquid microextraction, and other potentially applicable techniques.
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Affiliation(s)
- Alisa Pautova
- Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Laboratory of Human Metabolism in Critical States, Negovsky Research Institute of General Reanimatology, Petrovka str. 25-2, 107031 Moscow, Russia
| | - Natalia Burnakova
- Laboratory of Mass Spectrometry, Chemistry Department, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 1-3, 119991 Moscow, Russia; (N.B.); (A.R.)
| | - Alexander Revelsky
- Laboratory of Mass Spectrometry, Chemistry Department, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 1-3, 119991 Moscow, Russia; (N.B.); (A.R.)
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García-Aguilera ME, de San Miguel ER, Cruz-Pérez J, Aguirre-Cruz L, Ramirez-Alfaro CM, Esturau-Escofet N. NMR-based metabolomics of human cerebrospinal fluid identifies signature of brain death. Metabolomics 2021; 17:40. [PMID: 33864540 DOI: 10.1007/s11306-021-01794-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 04/11/2021] [Indexed: 10/21/2022]
Abstract
INTRODUCTION Brain death (BD) is the irreversible cessation of all functions of the entire brain, including the brainstem. Cerebrospinal fluid (CSF) is a biological liquid that circulates in brain and spine. Metabolomics is able to reveal the response of biological systems to diverse factors in a specific moment or condition. Therefore, the study of this neurological condition through metabolic profiling using high resolution Nuclear Magnetic Resonance (NMR) spectroscopy is important for understanding biochemical events. OBJECTIVES The aim of the current study is to identify the metabolomics signature of BD using 1H-NMR spectroscopy in human CSF. METHODS 1H-NMR spectroscopy has been employed for metabolomic untargeted analysis in 46 CSF samples: 22 control and 24 with BD. Spectral data were further subjected to multivariate analysis. RESULTS Statistically significant multivariate models separated subject's samples with BD from controls and revealed twenty one discriminatory metabolites. The statistical analysis of control and BD subjects using Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) model resulted in R2X of 0.733 and Q2 of 0.635. An elevation in the concentration of statistically discriminant metabolites in BD was observed. CONCLUSION This study identifies a metabolic signature associated with BD and the most relevant enriched selected metabolic pathways.
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Affiliation(s)
- Martha E García-Aguilera
- Universidad Nacional Autónoma de México, Instituto de Química, Ciudad Universitaria, 04510, Mexico City, Mexico
| | - Eduardo Rodríguez de San Miguel
- Departamento de Química Analítica, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad Universitaria, 04510 Cd., Mexico City, Mexico
| | - Jocelyn Cruz-Pérez
- Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Av. Insurgentes sur 3877, 14269, Mexico City, Mexico
| | - Lucinda Aguirre-Cruz
- Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Av. Insurgentes sur 3877, 14269, Mexico City, Mexico
| | - Christian M Ramirez-Alfaro
- Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Av. Insurgentes sur 3877, 14269, Mexico City, Mexico
| | - Nuria Esturau-Escofet
- Universidad Nacional Autónoma de México, Instituto de Química, Ciudad Universitaria, 04510, Mexico City, Mexico.
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Teubel J, Parr MK. Determination of neurosteroids in human cerebrospinal fluid in the 21st century: A review. J Steroid Biochem Mol Biol 2020; 204:105753. [PMID: 32937199 DOI: 10.1016/j.jsbmb.2020.105753] [Citation(s) in RCA: 4] [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: 06/05/2020] [Revised: 09/02/2020] [Accepted: 09/07/2020] [Indexed: 12/19/2022]
Abstract
Determination of steroid hormones synthesized by the human body plays an important role in various fields of endocrinology. Neurosteroids (NS) are steroids that are synthesized in the central (CNS) or peripheral nervous system (PNS), which is not only a source but also a target for neurosteroids. They are discussed as possible biomarkers in various cognitive disorders and research interest in this topic raises continuously. Nevertheless, knowledge on functions and metabolism is still limited, although the concept of neurosteroids was already introduced in the 1980s. Until today, the analysis of neurosteroids is truly challenging. The only accessible matrix for investigations of brain metabolism in living human beings is cerebrospinal fluid (CSF), which therefore becomes a very interesting specimen for analysis. However, neurosteroid concentrations are expected to be very low and the available amount of cerebrospinal fluid is limited. Further, high structural similarities of endogenous neurosteroids challenges analysis. Therefore, comprehensive methods, highly selective and sensitive for a large range of concentrations for different steroids in one aliquot are required and under continuous development. Although research has been increasingly intensified, still only few data are available on reference levels of neurosteroids in human cerebrospinal fluid. In this review, published literature of the last twenty years, as a period with relatively contemporary analytical methods, was systematically investigated. Considerations on human cerebrospinal fluid, different analytical approaches, and available data on levels of in analogy to periphery conceivable occurring neurosteroids, including (pro-) gestagens, androgens, corticoids, estrogens, and steroid conjugates, and their interpretation are intensively discussed.
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Affiliation(s)
- Juliane Teubel
- Freie Universität Berlin, Institute of Pharmacy, Königin-Luise-Str. 2+4, 14195 Berlin, Germany
| | - Maria Kristina Parr
- Freie Universität Berlin, Institute of Pharmacy, Königin-Luise-Str. 2+4, 14195 Berlin, Germany.
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15
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Hsueh PC, Wu KA, Yang CY, Hsu CW, Wang CL, Hung CM, Chen YT, Yu JS, Wu CC. Metabolomic profiling of parapneumonic effusion reveals a regulatory role of dipeptides in interleukin-8 production in neutrophil-like cells. Anal Chim Acta 2020; 1128:238-250. [PMID: 32825908 DOI: 10.1016/j.aca.2020.06.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/24/2020] [Accepted: 06/09/2020] [Indexed: 11/16/2022]
Abstract
Bacterial pneumonia is a lethal condition, and approximately 40% of bacterial pneumonia patients experience parapneumonic effusion (PPE). Based on the severity of inflammation, PPEs can be categorized as early-stage uncomplicated PPE (UPPE), advanced-stage complicated PPE (CPPE) and, most seriously, thoracic empyema. Appropriate antibiotic treatment at the early stage of PPE can prevent PPE progression and reduce mortality, indicating that understanding PPE generation and components can help researchers develop corresponding treatment strategies for PPE. To this end, metabolomes of 73 PPE (38 UPPE and 35 CPPE samples) and 30 malignant pleural effusion (MPE) samples were profiled with differential 12C2-/13C2-isotope dansylation labeling-based mass spectrometry. We found that PPE is characterized by elevated levels of dipeptides, especially for PPEs at advanced stages. Furthermore, with integrated proteomic and transcriptomic analyses of PPEs, the levels of dipeptides were strongly associated with the production of interleukin-8 (IL-8), an inflammation-associated cytokine. The production of IL-8 indeed increased upon the treatment of HL-60-derived neutrophilic cells with dipeptides, Gly-Val and Gly-Tyr. Our findings help to elucidate the metabolic perturbations present in PPE and indicate for the first time that dipeptides may be involved in the immune regulation observed during PPE progression.
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Affiliation(s)
- Pei-Chun Hsueh
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Kuo-An Wu
- Department of Internal Medicine, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Chia-Yu Yang
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; Department of Microbiology and Immunology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chia-Wei Hsu
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
| | - Chih-Liang Wang
- Division of Pulmonary Oncology and Interventional Bronchoscopy, Department of Thoracic Medicine, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan
| | - Chu-Mi Hung
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yi-Ting Chen
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jau-Song Yu
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan
| | - Chih-Ching Wu
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Molecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan; Department of Otolaryngology-Head & Neck Surgery, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan; Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Emerging Viral Infections, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
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Mellinger AL, Griffith EH, Bereman MS. Peptide variability and signatures associated with disease progression in CSF collected longitudinally from ALS patients. Anal Bioanal Chem 2020; 412:5465-5475. [PMID: 32591871 DOI: 10.1007/s00216-020-02765-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/20/2020] [Accepted: 06/09/2020] [Indexed: 01/06/2023]
Abstract
We employ shotgun proteomics and data-independent acquisition (DIA) mass spectrometry to analyze cerebrospinal fluid longitudinally collected from 14 amyotrophic lateral sclerosis (ALS) patients (8 males and 6 females). We perform three main analyses of these data: (1) examine the intra- and inter-patient protein variability in CSF; (2) explore the association of inflammation with rate of disease progression; and (3) develop a mixed-effects model to best explain the decrease in ALS-Functional Rating Scale (ALS-FRS) score. Overall, the CSF protein abundances are tightly regulated with the intra-individual variability contributing just 4% to the overall variance. In four patients, a moderately significant correlation (p < 0.1) was observed between inflammation and rate of disease progression. Using a least absolute shrinkage and selection operator (LASSO) variable selection, we selected 55 viable peptides for mathematical modeling via a linear mixed-effects regression. We then employed forward selection to generate a final model by minimizing Akaike's information criterion (AIC). The final model utilized changes in abundance from 28 peptides as fixed effects to model progression of the disease in these patients. These peptides were from proteins involved in stress response and innate immunity. Graphical abstract.
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Affiliation(s)
- Allyson L Mellinger
- Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | - Emily H Griffith
- Department of Statistics, North Carolina State University, Raleigh, NC, 27695, USA
| | - Michael S Bereman
- Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA. .,Department of Biological Sciences, North Carolina State University, Raleigh, NC, 27695, USA. .,Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, 27695, USA.
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Albrecht B, Voronina E, Schipke C, Peters O, Parr MK, Díaz-Hernández MD, Schlörer NE. Pursuing Experimental Reproducibility: An Efficient Protocol for the Preparation of Cerebrospinal Fluid Samples for NMR-based Metabolomics and Analysis of Sample Degradation. Metabolites 2020; 10:metabo10060251. [PMID: 32560109 PMCID: PMC7345835 DOI: 10.3390/metabo10060251] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 06/03/2020] [Accepted: 06/11/2020] [Indexed: 12/14/2022] Open
Abstract
NMR-based metabolomics investigations of human biofluids offer great potential to uncover new biomarkers. In contrast to protocols for sample collection and biobanking, procedures for sample preparation prior to NMR measurements are still heterogeneous, thus compromising the comparability of the resulting data. Herein, we present results of an investigation of the handling of cerebrospinal fluid (CSF) samples for NMR metabolomics research. Origins of commonly observed problems when conducting NMR experiments on this type of sample are addressed, and suitable experimental conditions in terms of sample preparation and pH control are discussed. Sample stability was assessed by monitoring the degradation of CSF samples by NMR, hereby identifying metabolite candidates, which are potentially affected by sample storage. A protocol was devised yielding consistent spectroscopic data as well as achieving overall sample stability for robust analysis. We present easy to adopt standard operating procedures with the aim to establish a shared sample handling strategy that facilitates and promotes inter-laboratory comparison, and the analysis of sample degradation provides new insights into sample stability.
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Affiliation(s)
- Benjamin Albrecht
- Department of Chemistry, Universität zu Köln, Greinstr.4, 50939 Köln, Germany; (B.A.); (E.V.)
| | - Elena Voronina
- Department of Chemistry, Universität zu Köln, Greinstr.4, 50939 Köln, Germany; (B.A.); (E.V.)
| | - Carola Schipke
- Charité– Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Experimental & Clinical Research Center (ECRC), Lindenberger Weg 80, 13125 Berlin, Germany;
| | - Oliver Peters
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Hindenburgdamm 30, 12203 Berlin, Germany;
| | - Maria Kristina Parr
- Institute of Pharmacy, Freie Universität Berlin, Königin-Luise-Str. 2-4, 14195 Berlin, Germany;
| | - M. Dolores Díaz-Hernández
- Department of Chemistry, Universität zu Köln, Greinstr.4, 50939 Köln, Germany; (B.A.); (E.V.)
- Correspondence: (M.D.D.-H.); (N.E.S.); Tel.: +49-221-470-3081 (N.E.S.)
| | - Nils E. Schlörer
- Department of Chemistry, Universität zu Köln, Greinstr.4, 50939 Köln, Germany; (B.A.); (E.V.)
- Correspondence: (M.D.D.-H.); (N.E.S.); Tel.: +49-221-470-3081 (N.E.S.)
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18
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Cameron S, Gillio-Meina C, Ranger A, Choong K, Fraser DD. Collection and Analyses of Cerebrospinal Fluid for Pediatric Translational Research. Pediatr Neurol 2019; 98:3-17. [PMID: 31280949 DOI: 10.1016/j.pediatrneurol.2019.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Revised: 05/23/2019] [Accepted: 05/27/2019] [Indexed: 12/18/2022]
Abstract
Cerebrospinal fluid sample collection and analysis is imperative to better elucidate central nervous system injury and disease in children. Sample collection methods are varied and carry with them certain ethical and biologic considerations, complications, and contraindications. Establishing best practices for sample collection, processing, storage, and transport will ensure optimal sample quality. Cerebrospinal fluid samples can be affected by a number of factors including subject age, sampling method, sampling location, volume extracted, fraction, blood contamination, storage methods, and freeze-thaw cycles. Indicators of sample quality can be assessed by matrix-associated laser desorption/ionization time-of-flight mass spectrometry and include cystatin C fragments, oxidized proteins, prostaglandin D synthase, and evidence of blood contamination. Precise documentation of sample collection processes and the establishment of meticulous handling procedures are essential for the creation of clinically relevant biospecimen repositories. In this review we discuss the ethical considerations and best practices for cerebrospinal fluid collection, as well as the influence of preanalytical factors on cerebrospinal fluid analyses. Cerebrospinal fluid biomarkers in highly researched pediatric diseases or disorders are discussed.
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Affiliation(s)
| | | | - Adrianna Ranger
- Pediatrics, Western University, London, Ontario, Canada; Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Karen Choong
- Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Douglas D Fraser
- Pediatrics, Western University, London, Ontario, Canada; Children's Health Research Institute, London, Ontario, Canada; Clinical Neurological Sciences, Western University, London, Ontario, Canada; Physiology and Pharmacology, Western University, London, Ontario, Canada; Translational Research Centre, London, Ontario, Canada.
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19
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Top-Down Proteomics Applied to Human Cerebrospinal Fluid. Methods Mol Biol 2019. [PMID: 31432414 DOI: 10.1007/978-1-4939-9706-0_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Cerebrospinal fluid (CSF) is the fluid of choice to study pathologies and disorders of the central nervous system (CNS). Its composition, especially its proteins and peptides, holds the promise that it may reflect the pathological state of an individual. Traditionally, proteins and peptides in CSF have been analyzed using bottom-up proteomics technologies in the search of high proteome coverage. However, the limited protein sequence coverage of this technology means that information regarding post-translational modifications (PTMs) and alternative splice variants is lost. As an alternative technology, top-down proteomics offers low to medium proteome coverage, but high protein coverage enabling almost a full characterization of the proteins' primary structure. This allows us to precisely identify distinct molecular forms of proteins (proteoforms) as well as naturally occurring bioactive peptide fragments, which could be of critical biological relevance and would otherwise remain undetected with a classical proteomics approach.Here, we describe various strategies including sample preparation protocols, off-line intact protein prefractionation, and LC-MS/MS methods together with data analysis pipelines to analyze cerebrospinal fluid (CSF) by top-down proteomics. However, there is not a unique or standardized method and the selection of the top-down strategy will depend on the exact goal of the study. Here, we describe various top-down proteomics methods that enable rapid protein characterization and may be an excellent companion analytical workflow in the search for new protein biomarkers in neurodegenerative diseases.
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Latendorf T, Gerstel U, Wu Z, Bartels J, Becker A, Tholey A, Schröder JM. Cationic Intrinsically Disordered Antimicrobial Peptides (CIDAMPs) Represent a New Paradigm of Innate Defense with a Potential for Novel Anti-Infectives. Sci Rep 2019; 9:3331. [PMID: 30833614 PMCID: PMC6399351 DOI: 10.1038/s41598-019-39219-w] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 12/19/2018] [Indexed: 12/22/2022] Open
Abstract
In the search for potential mechanisms underlying the remarkable resistance of healthy skin against infection by soil bacteria like Pseudomonas (P.) aeruginosa we identified fragments of the intrinsically disordered protein hornerin as potent microbicidal agents in the stratum corneum. We found that, independent of the amino acid (AA)-sequence, any tested linear cationic peptide containing a high percentage of disorder-promoting AA and a low percentage of order-promoting AA is a potent microbicidal antimicrobial. We further show that the antimicrobial activity of these cationic intrinsically disordered antimicrobial peptides (CIDAMPs) depends on the peptide chain length, its net charge, lipidation and environmental conditions. The ubiquitous presence of latent CIDAMP sources in nature suggests a common and yet overlooked adapted innate disinfection system of body surfaces. The simple structure and virtually any imaginable sequence or composition of disorder-promoting AA allow the generation of a plethora of CIDAMPs. These are potential novel microbicidal anti-infectives for various bacterial pathogens, including P. aeruginosa, methicillin-resistant Staphylococcus aureus (MRSA) and fungal pathogens like Candida albicans and Cryptococcus neoformans.
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Affiliation(s)
- Ties Latendorf
- Department of Dermatology, University-Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Ulrich Gerstel
- Department of Dermatology, University-Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Zhihong Wu
- Department of Dermatology, University-Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
- Institute of Biochemistry and Cell Biology, Zhejiang University of Science and Technology, 310023, Hangzhou, China
| | - Joachim Bartels
- Department of Dermatology, University-Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany
| | - Alexander Becker
- Institute for Experimental Medicine-AG Systematic Proteomics & Bioanalytics, Kiel University (CAU), Kiel, Germany
| | - Andreas Tholey
- Institute for Experimental Medicine-AG Systematic Proteomics & Bioanalytics, Kiel University (CAU), Kiel, Germany
| | - Jens-Michael Schröder
- Department of Dermatology, University-Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
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Lleó A, Núñez-Llaves R, Alcolea D, Chiva C, Balateu-Paños D, Colom-Cadena M, Gomez-Giro G, Muñoz L, Querol-Vilaseca M, Pegueroles J, Rami L, Lladó A, Molinuevo JL, Tainta M, Clarimón J, Spires-Jones T, Blesa R, Fortea J, Martínez-Lage P, Sánchez-Valle R, Sabidó E, Bayés À, Belbin O. Changes in Synaptic Proteins Precede Neurodegeneration Markers in Preclinical Alzheimer's Disease Cerebrospinal Fluid. Mol Cell Proteomics 2019; 18:546-560. [PMID: 30606734 PMCID: PMC6398205 DOI: 10.1074/mcp.ra118.001290] [Citation(s) in RCA: 102] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Indexed: 01/08/2023] Open
Abstract
A biomarker of synapse loss, an early event in Alzheimer's disease (AD) pathophysiology that precedes neuronal death and symptom onset, would be a much-needed prognostic biomarker. With direct access to the brain interstitial fluid, the cerebrospinal fluid (CSF) is a potential source of synapse-derived proteins. In this study, we aimed to identify and validate novel CSF biomarkers of synapse loss in AD. Discovery: Combining shotgun proteomics of the CSF with an exhaustive search of the literature and public databases, we identified 251 synaptic proteins, from which we selected 22 for further study. Verification: Twelve proteins were discarded because of poor detection by Selected Reaction Monitoring (SRM). We confirmed the specific expression of 9 of the remaining proteins (Calsynytenin-1, GluR2, GluR4, Neurexin-2A, Neurexin-3A, Neuroligin-2, Syntaxin-1B, Thy-1, Vamp-2) at the human synapse using Array Tomography microscopy and biochemical fractionation methods. Exploration: Using SRM, we monitored these 9 synaptic proteins (20 peptides) in a cohort of CSF from cognitively normal controls and subjects in the pre-clinical and clinical AD stages (n = 80). Compared with controls, peptides from 8 proteins were elevated 1.3 to 1.6-fold (p < 0.04) in prodromal AD patients. Validation: Elevated levels of a GluR4 peptide at the prodromal stage were replicated (1.3-fold, p = 0.04) in an independent cohort (n = 60). Moreover, 7 proteins were reduced at preclinical stage 1 (0.6 to 0.8-fold, p < 0.04), a finding that was replicated (0.7 to 0.8-fold, p < 0.05) for 6 proteins in a third cohort (n = 38). In a cross-cohort meta-analysis, 6 synaptic proteins (Calsyntenin-1, GluR4, Neurexin-2A, Neurexin-3A, Syntaxin-1B and Thy-1) were reduced 0.8-fold (p < 0.05) in preclinical AD, changes that precede clinical symptoms and CSF markers of neurodegeneration. Therefore, these proteins could have clinical value for assessing disease progression, especially in preclinical stages of AD.
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Affiliation(s)
- Alberto Lleó
- From the ‡Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain;
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
| | - Raúl Núñez-Llaves
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Daniel Alcolea
- From the ‡Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
| | - Cristina Chiva
- ‖Proteomics Unit, Center for Genomics Regulation, Barcelona Institute of Science and Technology, 08003 Barcelona
- **University Pompeu Fabra, 08003 Barcelona
| | | | - Martí Colom-Cadena
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Gemma Gomez-Giro
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Laia Muñoz
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Marta Querol-Vilaseca
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Jordi Pegueroles
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Lorena Rami
- ‡‡Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic-Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), 08015 Barcelona, Spain
| | - Albert Lladó
- ‡‡Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic-Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), 08015 Barcelona, Spain
| | - José L Molinuevo
- ‡‡Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic-Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), 08015 Barcelona, Spain
| | - Mikel Tainta
- §§Department of Neurology, Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, 20009 San Sebastian, Spain
- ¶¶Servicio de Neurologia, Organización Sanitaria Integrada Goierri-Alto Urola, Osakidetza, Zumárraga, España
| | - Jordi Clarimón
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
| | - Tara Spires-Jones
- ‖‖Centre for Discovery Brain Sciences and UK Dementia Research Institute, University of Edinburgh EH8 9JZ, UK
| | - Rafael Blesa
- From the ‡Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
| | - Juan Fortea
- From the ‡Memory Unit, Neurology Department, Hospital de la Santa Creu i Sant Pau, 08025 Barcelona, Spain
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain
| | - Pablo Martínez-Lage
- §§Department of Neurology, Center for Research and Advanced Therapies, CITA-Alzheimer Foundation, 20009 San Sebastian, Spain
| | - Raquel Sánchez-Valle
- ‡‡Alzheimer's Disease and Other Cognitive Disorders Unit, Neurology Department, Hospital Clínic-Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), 08015 Barcelona, Spain
| | - Eduard Sabidó
- ‖Proteomics Unit, Center for Genomics Regulation, Barcelona Institute of Science and Technology, 08003 Barcelona
- **University Pompeu Fabra, 08003 Barcelona
| | - Àlex Bayés
- ***Molecular Physiology of the Synapse Laboratory, Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025, Barcelona, Spain
- ‡‡‡Universitat Autònoma de Barcelona, 08193 Bellaterra (Cerdanyola del Vallès), Spain
| | - Olivia Belbin
- §Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), 28031 Madrid, Spain;
- ¶Biomedical Research Institute Sant Pau (IIB Sant Pau), 08025Barcelona, Spain
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22
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Quintero M, Stanisic D, Cruz G, Pontes JGM, Costa TBBC, Tasic L. Metabolomic Biomarkers in Mental Disorders: Bipolar Disorder and Schizophrenia. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1118:271-293. [PMID: 30747428 DOI: 10.1007/978-3-030-05542-4_14] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Psychiatric disorders are some of the most impairing human diseases. Among them, bipolar disorder and schizophrenia are the most common. Both have complicated diagnostics due to their phenotypic, biological, and genetic heterogeneity, unknown etiology, and the underlying biological pathways, and molecular mechanisms are still not completely understood. Given the multifactorial complexity of these disorders, identification and implementation of metabolic biomarkers would assist in their early detection and diagnosis and facilitate disease monitoring and treatment responses. To date, numerous studies have utilized metabolomics to better understand psychiatric disorders, and findings from these studies have begun to converge. In this chapter, we briefly describe some of the metabolomic biomarkers found in these two disorders.
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Affiliation(s)
- Melissa Quintero
- Laboratory of Chemical Biology, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Danijela Stanisic
- Laboratory of Chemical Biology, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Guilherme Cruz
- Laboratory of Chemical Biology, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - João G M Pontes
- Laboratory of Microbial Chemical Biology, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Tássia Brena Barroso Carneiro Costa
- Laboratory of Chemical Biology, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Ljubica Tasic
- Laboratory of Chemical Biology, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.
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23
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Schilde LM, Kösters S, Steinbach S, Schork K, Eisenacher M, Galozzi S, Turewicz M, Barkovits K, Mollenhauer B, Marcus K, May C. Protein variability in cerebrospinal fluid and its possible implications for neurological protein biomarker research. PLoS One 2018; 13:e0206478. [PMID: 30496192 PMCID: PMC6264484 DOI: 10.1371/journal.pone.0206478] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 10/12/2018] [Indexed: 11/19/2022] Open
Abstract
Cerebrospinal fluid is investigated in biomarker studies for various neurological disorders of the central nervous system due to its proximity to the brain. Currently, only a limited number of biomarkers have been validated in independent studies. The high variability in the protein composition and protein abundance of cerebrospinal fluid between as well as within individuals might be an important reason for this phenomenon. To evaluate this possibility, we investigated the inter- and intraindividual variability in the cerebrospinal fluid proteome globally, with a specific focus on disease biomarkers described in the literature. Cerebrospinal fluid from a longitudinal study group including 12 healthy control subjects was analyzed by label-free quantification (LFQ) via LC-MS/MS. Data were quantified via MaxQuant. Then, the intra- and interindividual variability and the reference change value were calculated for every protein. We identified and quantified 791 proteins, and 216 of these proteins were abundant in all samples and were selected for further analysis. For these proteins, we found an interindividual coefficient of variation of up to 101.5% and an intraindividual coefficient of variation of up to 29.3%. Remarkably, these values were comparably high for both proteins that were published as disease biomarkers and other proteins. Our results support the hypothesis that natural variability greatly impacts cerebrospinal fluid protein biomarkers because high variability can lead to unreliable results. Thus, we suggest controlling the variability of each protein to distinguish between good and bad biomarker candidates, e.g., by utilizing reference change values to improve the process of evaluating potential biomarkers in future studies.
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Affiliation(s)
- Lukas M. Schilde
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Steffen Kösters
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Simone Steinbach
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Karin Schork
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Martin Eisenacher
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Sara Galozzi
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Michael Turewicz
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Katalin Barkovits
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Brit Mollenhauer
- Paracelsus-Elena-Klinik, Klinikstraße, Kassel, and University Medical Center Göttingen, Department of Neurology, Göttingen, Germany
| | - Katrin Marcus
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
| | - Caroline May
- Medizinisches Proteom-Center, Ruhr-University Bochum, Universitaetsstrasse, Bochum, Germany
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24
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Wen Y, Yuan X, Qin F, Zhao L, Xiong Z. Development and validation of a hydrophilic interaction ultra-high-performance liquid chromatography-tandem mass spectrometry method for rapid simultaneous determination of 19 free amino acids in rat plasma and urine. Biomed Chromatogr 2018; 33:e4387. [PMID: 30238479 DOI: 10.1002/bmc.4387] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2018] [Revised: 09/04/2018] [Accepted: 09/13/2018] [Indexed: 12/21/2022]
Abstract
Determination of amino acids in biofluids is a challenging task because of difficulties deriving from their high polarity and matrix interference. A simple, reliable and high-throughput hydrophilic interaction UHPLC-MS/MS method was developed and validated for the rapid simultaneous determination of 19 free amino acids in rat plasma and urine samples in this paper. Hydrophilic method with a Waters Acquity UPLC BEH Amide column (100 × 2.1 mm,1.7 μm) was used with a gradient mobile phase system of acetonitrile and water both containing 0.2% formic acid. The analysis was performed on a positive electrospray ionization mass spectrometer via multiple reaction monitoring. Samples of 10 μL plasma and 50 μL urine were spiked with three deuterated internal standards, pretreated with 250 μL acetonitrile for one-step protein precipitation and a final dilution of urine samples. Good linearities (r > 0.99) were obtained for all of the analytes with the lower limit of quantification from 0.1 to 1.2 μg/mL. The relative standard deviation of the intra-day and inter-day precisions were within 15.0% and the accuracy ranged from -12.8 to 12.7%. The hydrophilic interaction UHPLC-MS/MS method was rapid, accurate and high-throughput and exhibited better chromatography behaviors than the regular RPLC methods. It was further successfully applied to detect 19 free amino acids in biological matrix.
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Affiliation(s)
- Yongqing Wen
- College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People's Republic of China
| | - Xuemei Yuan
- College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People's Republic of China
| | - Feng Qin
- College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People's Republic of China
| | - Longshan Zhao
- College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People's Republic of China
| | - Zhili Xiong
- College of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, People's Republic of China
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25
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Chen CPC, Preston JE, Zhou S, Fuller HR, Morgan DGA, Chen R. Proteomic analysis of age-related changes in ovine cerebrospinal fluid. Exp Gerontol 2018; 108:181-188. [PMID: 29704639 DOI: 10.1016/j.exger.2018.04.012] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Revised: 04/12/2018] [Accepted: 04/16/2018] [Indexed: 12/20/2022]
Abstract
Cerebrospinal fluid (CSF) circulates through the brain and has a unique composition reflecting the biological processes of the brain. Identifying ageing CSF biomarkers can aid in understanding the ageing process and interpreting CSF protein changes in neurodegenerative diseases. In this study, ovine CSF proteins from young (1-2 year old), middle aged (3-6 year old) and old (7-10 year old) sheep were systemically studied. CSF proteins were labelled with iTRAQ tagging reagents and fractionated by 2-dimensional high performance, liquid chromatography. Tryptic peptides were identified using MS/MS fragmentation ions for sequencing and quantified from iTRAQ reporter ion intensities at m/z 114, 115, 116 and 117. Two hundred thirty one peptides were detected, from which 143 proteins were identified. There were 52 proteins with >25% increase in concentrations in the old sheep compared to the young. 33 of them increased >25% but <50%, 13 increased >50% but <1 fold, 6 increased >1 fold [i.e. haptoglobin (Hp), haemoglobin, neuroendocrine protein 7B2, IgM, fibrous sheath interacting protein 1, vimentin]. There were 18 proteins with >25% decrease in concentrations in the old sheep compared to the young. 17 of them decreased >25% but <50%, and histone deacetylase 7 (HDAC7) was gradually decreased for over 80%. Glutathione S-transferase was decreased in middle aged CSF compared to both young and old CSF. The differential expressions of 3 proteins (Hp, neuroendocrine protein 7B2, IgM) were confirmed by immunoassays. These data expand our current knowledge regarding ovine CSF proteins, supply the necessary information to understand the ageing process in the brain and provide a basis for diagnosis of neurodegenerative diseases.
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Affiliation(s)
- Carl P C Chen
- Institute of Pharmaceutical Science, King's College London, London SE1 7UL, UK; Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Kwei Shan, Tao-yuan County, Taiwan, ROC
| | - Jane E Preston
- Institute of Pharmaceutical Science, King's College London, London SE1 7UL, UK
| | - Shaobo Zhou
- Institute of Biological and Environmental Science and Technology (iBEST), School of Life Sciences, University of Bedfordshire, Luton LU1 3JU, UK
| | - Heidi R Fuller
- Wolfson Centre for Inherited Neuromuscular Disease, RJAH Orthopaedic Hospital, Oswestry SY10 7AG, UK; Institute for Science and Technology in Medicine (ISTM), Keele University, Staffordshire ST5 5BG, UK
| | - David G A Morgan
- Institute for Science and Technology in Medicine (ISTM), Keele University, Staffordshire ST5 5BG, UK; School of Pharmacy, Keele University, Staffordshire ST5 5BG, UK
| | - Ruoli Chen
- Institute of Pharmaceutical Science, King's College London, London SE1 7UL, UK; Institute for Science and Technology in Medicine (ISTM), Keele University, Staffordshire ST5 5BG, UK; School of Pharmacy, Keele University, Staffordshire ST5 5BG, UK.
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26
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Kragh-Hansen U. Possible Mechanisms by Which Enzymatic Degradation of Human Serum Albumin Can Lead to Bioactive Peptides and Biomarkers. Front Mol Biosci 2018; 5:63. [PMID: 30038906 PMCID: PMC6046381 DOI: 10.3389/fmolb.2018.00063] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 06/19/2018] [Indexed: 11/16/2022] Open
Abstract
Partial enzymatic degradation of human serum albumin in vivo can lead to the generation of peptides with novel functions or to peptides that might serve as biomarkers for disease. In pathological conditions, biomarkers are possibly produced from the protein in the lysosomes and set free by cell death, or cell death could release acid endoproteases which produce biomarkers by degrading extracellular albumin. Alternatively, lysosomes or secretory granules can be stimulated to release enzymes which produce bioactive peptides from albumin. In physiological conditions, it is proposed that bioactive peptides can be made by enzymatic attack on the protein bound to the endosomal neonatal Fc receptor. The peptides formed could leave the cell, together with native albumin, by exocytosis. Thus, the receptor could have a new function in addition to saving albumin from degradation in the lysosomes. Large amounts of albumin are degraded every day, and this fact can compensate for the short in vivo half-lives of the bioactive peptides. One or more of the procedures outlined above could also apply to other plasma proteins or to structural proteins.
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27
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Begcevic I, Brinc D, Dukic L, Simundic AM, Zavoreo I, Basic Kes V, Martinez-Morillo E, Batruch I, Drabovich AP, Diamandis EP. Targeted Mass Spectrometry-Based Assays for Relative Quantification of 30 Brain-Related Proteins and Their Clinical Applications. J Proteome Res 2018; 17:2282-2292. [PMID: 29708756 DOI: 10.1021/acs.jproteome.7b00768] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Cerebrospinal fluid (CSF) is a promising clinical sample for identification of novel biomarkers for various neurological disorders. Considering its direct contact with brain tissue, CSF represents a valuable source of brain-related and brain-specific proteins. Multiple sclerosis is an inflammatory, demyelinating neurological disease affecting the central nervous system, and so far there are no diagnostic or prognostic disease specific biomarkers available in the clinic. The primary aim of the present study was to develop a targeted mass spectrometry assay for simultaneous quantification of 30 brain-related proteins in CSF and subsequently to demonstrate assay feasibility in neurological samples derived from multiple sclerosis patients. Our multiplex selected reaction monitoring assay had wide dynamic range (median fold range across peptides = 8.16 × 103) and high assay reproducibility (median across peptides CV = 4%). Candidate biomarkers were quantified in CSF samples from neurologically healthy individuals (n = 9) and patients diagnosed with clinically isolated syndrome (n = 29) or early multiple sclerosis (n = 15).
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Affiliation(s)
- Ilijana Begcevic
- Department of Laboratory Medicine and Pathobiology , University of Toronto , Toronto , Ontario M5S 1A8 , Canada.,Department of Pathology & Laboratory Medicine , Mount Sinai Hospital , Toronto , Ontario M5T 3L9 , Canada
| | - Davor Brinc
- Department of Laboratory Medicine and Pathobiology , University of Toronto , Toronto , Ontario M5S 1A8 , Canada.,Department of Pathology & Laboratory Medicine , Mount Sinai Hospital , Toronto , Ontario M5T 3L9 , Canada.,Department of Clinical Biochemistry , University Health Network , Toronto , Ontario M5G 2C4 , Canada
| | - Lora Dukic
- Department of Medical Laboratory Diagnostics , University Hospital "Sveti Duh" , 10000 Zagreb , Croatia
| | - Ana-Maria Simundic
- Department of Medical Laboratory Diagnostics , University Hospital "Sveti Duh" , 10000 Zagreb , Croatia
| | - Iris Zavoreo
- University Department of Neurology , Medical School University Hospital "Sestre milosrdnice" , 10000 Zagreb , Croatia
| | - Vanja Basic Kes
- University Department of Neurology , Medical School University Hospital "Sestre milosrdnice" , 10000 Zagreb , Croatia
| | - Eduardo Martinez-Morillo
- Laboratory of Medicine, Department of Clinical Biochemistry , Hospital Universitario Central de Asturias , 33011 Oviedo , Spain
| | - Ihor Batruch
- Department of Pathology & Laboratory Medicine , Mount Sinai Hospital , Toronto , Ontario M5T 3L9 , Canada
| | - Andrei P Drabovich
- Department of Laboratory Medicine and Pathobiology , University of Toronto , Toronto , Ontario M5S 1A8 , Canada.,Department of Clinical Biochemistry , University Health Network , Toronto , Ontario M5G 2C4 , Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology , University of Toronto , Toronto , Ontario M5S 1A8 , Canada.,Department of Pathology & Laboratory Medicine , Mount Sinai Hospital , Toronto , Ontario M5T 3L9 , Canada.,Department of Clinical Biochemistry , University Health Network , Toronto , Ontario M5G 2C4 , Canada
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28
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Wang H, He Z, Zhang Y, Zhang J. 1 H NMR metabolic signature of cerebrospinal fluid following repetitive lower-limb remote ischemia preconditioning. Neurochem Int 2018; 116:95-103. [DOI: 10.1016/j.neuint.2018.02.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 02/03/2018] [Accepted: 02/19/2018] [Indexed: 12/14/2022]
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29
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Lake BB, Rossmeisl JH, Cecere J, Stafford P, Zimmerman KL. Immunosignature Differentiation of Non-Infectious Meningoencephalomyelitis and Intracranial Neoplasia in Dogs. Front Vet Sci 2018; 5:97. [PMID: 29868618 PMCID: PMC5958519 DOI: 10.3389/fvets.2018.00097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 04/20/2018] [Indexed: 11/13/2022] Open
Abstract
A variety of inflammatory conditions of unknown cause (meningoencephalomyelitis of unknown etiology-MUE) and neoplastic diseases can affect the central nervous system (CNS) of dogs. MUE can mimic intracranial neoplasia both clinically, radiologically and even in some cases, histologically. Serum immunosignature protein microarray assays have been used in humans to identify CNS diseases such as Alzheimer's and neoplasia, and in dogs, to detect lymphoma and its progression. This study evaluated the effectiveness of immunosignature profiles for distinguishing between three cohorts of dogs: healthy, intracranial neoplasia, and MUE. Using the learned peptide patterns for these three cohorts, classification prediction was evaluated for the same groups using a 10-fold cross validation methodology. Accuracy for classification was 100%, as well as 100% specific and 100% sensitive. This pilot study demonstrates that immunosignature profiles may help serve as a minimally invasive tool to distinguish between MUE and intracranial neoplasia in dogs.
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Affiliation(s)
- Bathilda B. Lake
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, United States
| | - John Henry Rossmeisl
- Department of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, United States
| | - Julie Cecere
- Department of Small Animal Clinical Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, United States
| | - Phillip Stafford
- Biodesign Institute, Center for Innovations in Medicine, Arizona State University, Tempe, AZ, United States
| | - Kurt L. Zimmerman
- Department of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Blacksburg, VA, United States
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30
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Potential biomarkers of Parkinson's disease revealed by plasma metabolic profiling. J Chromatogr B Analyt Technol Biomed Life Sci 2018. [DOI: 10.1016/j.jchromb.2018.01.025] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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31
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Cruz T, Gleizes M, Balayssac S, Mornet E, Marsal G, Millán JL, Malet-Martino M, Nowak LG, Gilard V, Fonta C. Identification of altered brain metabolites associated with TNAP activity in a mouse model of hypophosphatasia using untargeted NMR-based metabolomics analysis. J Neurochem 2017; 140:919-940. [PMID: 28072448 DOI: 10.1111/jnc.13950] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Revised: 12/18/2016] [Accepted: 01/04/2017] [Indexed: 12/20/2022]
Abstract
Tissue non-specific alkaline phosphatase (TNAP) is a key player of bone mineralization and TNAP gene (ALPL) mutations in human are responsible for hypophosphatasia (HPP), a rare heritable disease affecting the mineralization of bones and teeth. Moreover, TNAP is also expressed by brain cells and the severe forms of HPP are associated with neurological disorders, including epilepsy and brain morphological anomalies. However, TNAP's role in the nervous system remains poorly understood. To investigate its neuronal functions, we aimed to identify without any a priori the metabolites regulated by TNAP in the nervous tissue. For this purpose we used 1 H- and 31 P NMR to analyze the brain metabolome of Alpl (Akp2) mice null for TNAP function, a well-described model of infantile HPP. Among 39 metabolites identified in brain extracts of 1-week-old animals, eight displayed significantly different concentration in Akp2-/- compared to Akp2+/+ and Akp2+/- mice: cystathionine, adenosine, GABA, methionine, histidine, 3-methylhistidine, N-acetylaspartate (NAA), and N-acetyl-aspartyl-glutamate, with cystathionine and adenosine levels displaying the strongest alteration. These metabolites identify several biochemical processes that directly or indirectly involve TNAP function, in particular through the regulation of ecto-nucleotide levels and of pyridoxal phosphate-dependent enzymes. Some of these metabolites are involved in neurotransmission (GABA, adenosine), in myelin synthesis (NAA, NAAG), and in the methionine cycle and transsulfuration pathway (cystathionine, methionine). Their disturbances may contribute to the neurodevelopmental and neurological phenotype of HPP.
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Affiliation(s)
- Thomas Cruz
- Groupe de RMN Biomédicale, Laboratoire SPCMIB (CNRS UMR 5068), Université Paul Sabatier, Université de Toulouse, Toulouse Cedex, France
| | - Marie Gleizes
- Centre de Recherche Cerveau et Cognition (CerCo), Université de Toulouse UPS; CNRS UMR 5549, Toulouse, France
| | - Stéphane Balayssac
- Groupe de RMN Biomédicale, Laboratoire SPCMIB (CNRS UMR 5068), Université Paul Sabatier, Université de Toulouse, Toulouse Cedex, France
| | - Etienne Mornet
- Unité de Génétique Constitutionnelle Prénatale et Postnatale, Service de Biologie, Centre Hospitalier de Versailles, Le Chesnay, France
| | - Grégory Marsal
- Centre de Recherche Cerveau et Cognition (CerCo), Université de Toulouse UPS; CNRS UMR 5549, Toulouse, France
| | - José Luis Millán
- Sanford Children's Health Research Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, California, USA
| | - Myriam Malet-Martino
- Groupe de RMN Biomédicale, Laboratoire SPCMIB (CNRS UMR 5068), Université Paul Sabatier, Université de Toulouse, Toulouse Cedex, France
| | - Lionel G Nowak
- Centre de Recherche Cerveau et Cognition (CerCo), Université de Toulouse UPS; CNRS UMR 5549, Toulouse, France
| | - Véronique Gilard
- Groupe de RMN Biomédicale, Laboratoire SPCMIB (CNRS UMR 5068), Université Paul Sabatier, Université de Toulouse, Toulouse Cedex, France
| | - Caroline Fonta
- Centre de Recherche Cerveau et Cognition (CerCo), Université de Toulouse UPS; CNRS UMR 5549, Toulouse, France
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32
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Bastos P, Ferreira R, Manadas B, Moreira PI, Vitorino R. Insights into the human brain proteome: Disclosing the biological meaning of protein networks in cerebrospinal fluid. Crit Rev Clin Lab Sci 2017; 54:185-204. [PMID: 28393582 DOI: 10.1080/10408363.2017.1299682] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Cerebrospinal fluid (CSF) is an excellent source of biological information regarding the nervous system, once it is in close contact and accurately reflects alterations in this system. Several studies have analyzed differential protein profiles of CSF samples between healthy and diseased human subjects. However, the pathophysiological mechanisms and how CSF proteins relate to diseases are still poorly known. By applying bioinformatics tools, we attempted to provide new insights on the biological and functional meaning of proteomics data envisioning the identification of putative disease biomarkers. Bioinformatics analysis of data retrieved from 99 mass spectrometry (MS)-based studies on CSF profiling highlighted 1985 differentially expressed proteins across 49 diseases. A large percentage of the modulated proteins originate from exosome vesicles, and the majority are involved in either neuronal cell growth, development, maturation, migration, or neurotransmitter-mediated cellular communication. Nevertheless, some diseases present a unique CSF proteome profile, which were critically analyzed in the present study. For instance, 48 proteins were found exclusively upregulated in the CSF of patients with Alzheimer's disease and are mainly involved in steroid esterification and protein activation cascade processes. A higher number of exclusively upregulated proteins were found in the CSF of patients with multiple sclerosis (76 proteins) and with bacterial meningitis (70 proteins). Whereas in multiple sclerosis, these proteins are mostly involved in the regulation of RNA metabolism and apoptosis, in bacterial meningitis the exclusively upregulated proteins participate in inflammation and antibacterial humoral response, reflecting disease pathogenesis. The exploration of the contribution of exclusively upregulated proteins to disease pathogenesis will certainly help to envision potential biomarkers in the CSF for the clinical management of nervous system diseases.
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Affiliation(s)
- Paulo Bastos
- a Department of Chemistry , University of Aveiro , Aveiro , Portugal.,b Department of Medical Sciences , Institute for Biomedicine - iBiMED, University of Aveiro , Aveiro , Portugal
| | - Rita Ferreira
- c QOPNA, Department of Chemistry , University of Aveiro , Aveiro , Portugal
| | - Bruno Manadas
- d CNC, Center for Neuroscience and Cell Biology, University of Coimbra , Coimbra , Portugal
| | - Paula I Moreira
- d CNC, Center for Neuroscience and Cell Biology, University of Coimbra , Coimbra , Portugal.,e Laboratory of Physiology, Faculty of Medicine , University of Coimbra , Coimbra , Portugal
| | - Rui Vitorino
- b Department of Medical Sciences , Institute for Biomedicine - iBiMED, University of Aveiro , Aveiro , Portugal.,f Departmento de Cirurgia e Fisiologia, Faculdade de Medicina , Unidade de Investigação Cardiovascular, Universidade do Porto , Porto , Portugal
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Guldbrandsen A, Farag Y, Kroksveen AC, Oveland E, Lereim RR, Opsahl JA, Myhr KM, Berven FS, Barsnes H. CSF-PR 2.0: An Interactive Literature Guide to Quantitative Cerebrospinal Fluid Mass Spectrometry Data from Neurodegenerative Disorders. Mol Cell Proteomics 2016; 16:300-309. [PMID: 27890865 DOI: 10.1074/mcp.o116.064477] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Revised: 11/18/2016] [Indexed: 01/23/2023] Open
Abstract
The rapidly growing number of biomedical studies supported by mass spectrometry based quantitative proteomics data has made it increasingly difficult to obtain an overview of the current status of the research field. A better way of organizing the biomedical proteomics information from these studies and making it available to the research community is therefore called for. In the presented work, we have investigated scientific publications describing the analysis of the cerebrospinal fluid proteome in relation to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Based on a detailed set of filtering criteria we extracted 85 data sets containing quantitative information for close to 2000 proteins. This information was made available in CSF-PR 2.0 (http://probe.uib.no/csf-pr-2.0), which includes novel approaches for filtering, visualizing and comparing quantitative proteomics information in an interactive and user-friendly environment. CSF-PR 2.0 will be an invaluable resource for anyone interested in quantitative proteomics on cerebrospinal fluid.
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Affiliation(s)
- Astrid Guldbrandsen
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Yehia Farag
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Ann Cathrine Kroksveen
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Eystein Oveland
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Ragnhild R Lereim
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Jill A Opsahl
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway
| | - Kjell-Morten Myhr
- §KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.,¶Norwegian Multiple Sclerosis Registry and Biobank, Haukeland University Hospital, 5021 Bergen, Norway
| | - Frode S Berven
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway; .,§KG Jebsen Centre for Multiple Sclerosis Research, Department of Clinical Medicine, University of Bergen, 5020 Bergen, Norway.,‖Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, 5021 Bergen, Norway
| | - Harald Barsnes
- From the ‡Proteomics Unit (PROBE), Department of Biomedicine, University of Bergen, 5009 Bergen, Norway.,**Department of Clinical Science, University of Bergen, 5020 Bergen, Norway.,‡‡Computational Biology Unit, Department of Informatics, University of Bergen, 5020 Bergen, Norway
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Begcevic I, Brinc D, Drabovich AP, Batruch I, Diamandis EP. Identification of brain-enriched proteins in the cerebrospinal fluid proteome by LC-MS/MS profiling and mining of the Human Protein Atlas. Clin Proteomics 2016; 13:11. [PMID: 27186164 PMCID: PMC4868024 DOI: 10.1186/s12014-016-9111-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Accepted: 04/19/2016] [Indexed: 12/21/2022] Open
Abstract
Background Cerebrospinal fluid (CSF) is a proximal fluid which communicates closely with brain tissue, contains numerous brain-derived proteins and thus represents a promising fluid for discovery of biomarkers of central nervous system (CNS) diseases. The main purpose of this study was to generate an extensive CSF proteome and define brain-related proteins identified in CSF, suitable for development of diagnostic assays. Methods Six non-pathological CSF samples from three female and three male individuals were selected for CSF analysis. Samples were first subjected to strong cation exchange chromatography, followed by LC-MS/MS analysis. Secreted and membrane-bound proteins enriched in the brain tissues were retrieved from the Human Protein Atlas. Results In total, 2615 proteins were identified in the CSF. The number of proteins identified per individual sample ranged from 1109 to 1421, with inter-individual variability between six samples of 21 %. Based on the Human Protein Atlas, 78 brain-specific proteins found in CSF samples were proposed as a signature of brain-enriched proteins in CSF. Conclusion A combination of Human Protein Atlas database and experimental search of proteins in specific body fluid can be applied as an initial step in search for disease biomarkers specific for a particular tissue. This signature may be of significant interest for development of novel diagnostics of CNS diseases and identification of drug targets. Electronic supplementary material The online version of this article (doi:10.1186/s12014-016-9111-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Ilijana Begcevic
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada ; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON Canada
| | - Davor Brinc
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada ; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON Canada ; Department of Clinical Biochemistry, University Health Network, Toronto, ON Canada
| | - Andrei P Drabovich
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada ; Department of Clinical Biochemistry, University Health Network, Toronto, ON Canada
| | - Ihor Batruch
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON Canada
| | - Eleftherios P Diamandis
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada ; Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON Canada ; Department of Clinical Biochemistry, University Health Network, Toronto, ON Canada
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Del Boccio P, Rossi C, di Ioia M, Cicalini I, Sacchetta P, Pieragostino D. Integration of metabolomics and proteomics in multiple sclerosis: From biomarkers discovery to personalized medicine. Proteomics Clin Appl 2016; 10:470-84. [DOI: 10.1002/prca.201500083] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 11/17/2015] [Accepted: 12/30/2015] [Indexed: 01/04/2023]
Affiliation(s)
- Piero Del Boccio
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Claudia Rossi
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Maria di Ioia
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
- Department of Neurosciences and Imaging; University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Ilaria Cicalini
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Paolo Sacchetta
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
| | - Damiana Pieragostino
- Department of Medical Oral and Biotechnological Sciences; University “G. d'Annunzio” of Chieti- Pescara; Chieti Italy
- Analytical Biochemistry and Proteomics Unit, Research Centre on Aging (Ce.S.I); University “G. d'Annunzio” of Chieti-Pescara; Chieti Italy
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Chatziharalambous D, Lygirou V, Latosinska A, Stravodimos K, Vlahou A, Jankowski V, Zoidakis J. Analytical Performance of ELISA Assays in Urine: One More Bottleneck towards Biomarker Validation and Clinical Implementation. PLoS One 2016; 11:e0149471. [PMID: 26889680 PMCID: PMC4758723 DOI: 10.1371/journal.pone.0149471] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2015] [Accepted: 01/31/2016] [Indexed: 01/04/2023] Open
Abstract
ELISA is the main approach for the sensitive quantification of protein biomarkers in body fluids and is currently employed in clinical laboratories for the measurement of clinical markers. As such, it also constitutes the main methodological approach for biomarker validation and further qualification. For the latter, specific assay performance requirements have to be met, as described in respective guidelines of regulatory agencies. Even though many clinical ELISA assays in serum are regularly used, ELISA clinical applications in urine are significantly less. The scope of our study was to evaluate ELISA assay analytical performance in urine for a series of potential biomarkers for bladder cancer, as a first step towards their large scale clinical validation. Seven biomarkers (Secreted protein acidic and rich in cysteine, Survivin, Slit homolog 2 protein, NRC-Interacting Factor 1, Histone 2B, Proteinase-3 and Profilin-1) previously described in the literature as having differential expression in bladder cancer were included in the study. A total of 11 commercially available ELISA tests for these markers were tested by standard curve analysis, assay reproducibility, linearity and spiking experiments. The results show disappointing performance with coefficients of variation>20% for the vast majority of the tests performed. Only 3 assays (for Secreted protein acidic and rich in cysteine, Survivin and Slit homolog 2 protein) passed the accuracy thresholds and were found suitable for further application in marker quantification. These results collectively reflect the difficulties in developing urine-based ELISA assays of sufficient analytical performance for clinical application, presumably attributed to the urine matrix itself and/or presence of markers in various isoforms.
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Affiliation(s)
- Despina Chatziharalambous
- Biotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Vasiliki Lygirou
- Biotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Agnieszka Latosinska
- Biotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Konstantinos Stravodimos
- Department of Urology, Laikon Hospital, University of Athens, School of Medicine, Athens, Greece
| | - Antonia Vlahou
- Biotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
| | - Vera Jankowski
- RWTH-Aachen, Institute for Molecular Cardiovascular Research (IMCAR), Aachen, Germany
| | - Jerome Zoidakis
- Biotechnology Laboratory, Centre of Basic Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece
- * E-mail:
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37
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Deciphering the biological effects of acupuncture treatment modulating multiple metabolism pathways. Sci Rep 2016; 6:19942. [PMID: 26879284 PMCID: PMC4754631 DOI: 10.1038/srep19942] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 12/16/2015] [Indexed: 01/27/2023] Open
Abstract
Acupuncture is an alternative therapy that is widely used to treat various diseases. However, detailed biological interpretation of the acupuncture stimulations is limited. We here used metabolomics and proteomics technology, thereby identifying the serum small molecular metabolites into the effect and mechanism pathways of standardized acupuncture treatments at ‘Zusanli’ acupoint which was the most often used acupoint in previous reports. Comprehensive overview of serum metabolic profiles during acupuncture stimulation was investigated. Thirty-four differential metabolites were identified in serum metabolome and associated with ten metabolism pathways. Importantly, we have found that high impact glycerophospholipid metabolism, fatty acid metabolism, ether lipid metabolism were acutely perturbed by acupuncture stimulation. As such, these alterations may be useful to clarify the biological mechanism of acupuncture stimulation. A series of differentially expressed proteins were identified and such effects of acupuncture stimulation were found to play a role in transport, enzymatic activity, signaling pathway or receptor interaction. Pathway analysis further revealed that most of these proteins were found to play a pivotal role in the regulation of multiple metabolism pathways. It demonstrated that the metabolomics coupled with proteomics as a powerful approach for potential applications in understanding the biological effects of acupuncture stimulation.
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38
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Salminen A, Jouhten P, Sarajärvi T, Haapasalo A, Hiltunen M. Hypoxia and GABA shunt activation in the pathogenesis of Alzheimer's disease. Neurochem Int 2015; 92:13-24. [PMID: 26617286 DOI: 10.1016/j.neuint.2015.11.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Revised: 11/16/2015] [Accepted: 11/18/2015] [Indexed: 12/21/2022]
Abstract
We have previously observed that the conversion of mild cognitive impairment to definitive Alzheimer's disease (AD) is associated with a significant increase in the serum level of 2,4-dihydroxybutyrate (2,4-DHBA). The metabolic generation of 2,4-DHBA is linked to the activation of the γ-aminobutyric acid (GABA) shunt, an alternative energy production pathway activated during cellular stress, when the function of Krebs cycle is compromised. The GABA shunt can be triggered by local hypoperfusion and subsequent hypoxia in AD brains caused by cerebral amyloid angiopathy. Succinic semialdehyde dehydrogenase (SSADH) is a key enzyme in the GABA shunt, converting succinic semialdehyde (SSA) into succinate, a Krebs cycle intermediate. A deficiency of SSADH activity stimulates the conversion of SSA into γ-hydroxybutyrate (GHB), an alternative route from the GABA shunt. GHB can exert not only acute neuroprotective activities but unfortunately also chronic detrimental effects which may lead to cognitive impairment. Subsequently, GHB can be metabolized to 2,4-DHBA and secreted from the brain. Thus, the activation of the GABA shunt and the generation of GHB and 2,4-DHBA can have an important role in the early phase of AD pathogenesis.
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Affiliation(s)
- Antero Salminen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland.
| | - Paula Jouhten
- VTT Technical Research Centre of Finland, FIN-00014 Helsinki, Finland; EMBL European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
| | - Timo Sarajärvi
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland; Institute of Biomedicine, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland
| | - Annakaisa Haapasalo
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland; Department of Neurobiology, A.I. Virtanen Institute for Molecular Sciences, Neulaniementie 2, P.O. Box 1627, FIN-70211 Kuopio, Finland; Department of Neurology, Kuopio University Hospital, P.O. Box 100, FI-70029 KYS, Finland
| | - Mikko Hiltunen
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland; Department of Neurology, Kuopio University Hospital, P.O. Box 100, FI-70029 KYS, Finland; Institute of Biomedicine, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland
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Singh V, van Pelt ED, Stoop MP, Stingl C, Ketelslegers IA, Neuteboom RF, Catsman-Berrevoets CE, Luider TM, Hintzen RQ. Gray matter-related proteins are associated with childhood-onset multiple sclerosis. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2015; 2:e155. [PMID: 26445729 PMCID: PMC4582906 DOI: 10.1212/nxi.0000000000000155] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/14/2015] [Accepted: 06/25/2015] [Indexed: 11/25/2022]
Abstract
Objective: To identify CSF biomarkers for multiple sclerosis (MS) in children with an initial acquired CNS demyelinating syndrome (ADS). Methods: CSF was collected from a cohort of 39 children with initial ADS, 18 of whom were diagnosed with MS and 21 of whom had a monophasic disease course. Proteomic analysis of trypsinized CSF (20 μL) was performed by nano-liquid chromatography Orbitrap mass spectrometry. Univariate statistical analysis was used to identify differentially abundant proteins between childhood-onset MS and monophasic ADS. Results: A total of 2,260 peptides corresponding to 318 proteins were identified in the total set of samples. Of these 2,260 peptides, 88 were identified as being most distinctive between MS and ADS. Fifty-three peptides, corresponding to 14 proteins, had higher abundance in children with MS compared to children with monophasic ADS. Twelve of these 14 proteins were linked to neuronal functions and structures, such as synapses, axons, and CNS proteases (e.g., neurofascin, carboxypeptidase E, brevican core protein, and contactin-2). The other 2 were functionally related to immune function. The 35 peptides identified with decreased abundance in children with MS corresponded to 7 proteins. Six of them were linked to innate immune function (e.g., haptoglobin, haptoglobin-related protein, C4b-binding protein alpha chain, and monocyte differentiation antigen CD14) and 1 was linked to cellular adhesion (protein diaphanous homolog 1). Conclusion: At first onset of ADS, CSF of children diagnosed with MS showed increased abundance of CNS gray matter–related proteins, whereas CSF of children with a monophasic disease course showed increased abundance of innate immunity–related proteins.
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Affiliation(s)
- Vaibhav Singh
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - E Daniëlle van Pelt
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Marcel P Stoop
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Christoph Stingl
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Immy A Ketelslegers
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Rinze F Neuteboom
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | | | - Theo M Luider
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
| | - Rogier Q Hintzen
- MS Centre ErasMS, Department of Neurology, Erasmus MC, Rotterdam, the Netherlands
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Sosvorova L, Hill M, Mohapl M, Vitku J, Hampl R. Steroid hormones in prediction of normal pressure hydrocephalus. J Steroid Biochem Mol Biol 2015; 152:124-32. [PMID: 25976421 DOI: 10.1016/j.jsbmb.2015.05.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 04/13/2015] [Accepted: 05/07/2015] [Indexed: 12/20/2022]
Abstract
Normal pressure hydrocephalus (NPH) is a treatable neurological disorder affecting elderly people with the prevalence increasing with age. NPH is caused by abnormal cerebrospinal fluid (CSF) reabsorption and manifested as a balance impairment, urinary incontinence and dementia development. These symptoms are potentially reversible if recognized early. Diagnosis of NPH is difficult and can be easily mistaken for other neurodegenerative disorders, which makes NPH one of the major misdiagnosed diseases worldwide. The aim of the study was to find out the appropriate combination of indicators, based on CSF steroids, which would contribute to a clearer NPH diagnosis. The levels of CSF cortisol, cortisone, dehydroepiandrosterone (DHEA), 7α-OH-DHEA, 7β-OH-DHEA, 7-oxo-DHEA, 16α-OH-DHEA and aldosterone (all LC-MS/MS) were determined in our patients (n=30; NPH, 65-80 years) and controls (n=10; 65-80 years). The model of orthogonal projections to latent structures (OPLS) was constructed to predict NPH. Cortisone, 7α-OH-DHEA, 7β-OH-DHEA, 7-oxo-DHEA, aldosterone, 7α-OH-DHEA /DHEA, 7-oxo-DHEA/7α-OH-DHEA, 7β-OH-DHEA/7-oxo-DHEA and 16α-OH-DHEA/DHEA in the CSF were identified as the key predictors and the model discriminated patients from controls with 100% sensitivity and 100% specificity. The suggested model would contribute to early and accurate NPH diagnosis, enabling promptly treatment of the disease.
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Affiliation(s)
- Lucie Sosvorova
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 116 94 Prague, Czech Republic.
| | - Martin Hill
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 116 94 Prague, Czech Republic
| | - Milan Mohapl
- University Military Hospital Prague, Department of Neurosurgery, U Vojenske nemocnice 1200, 169 02 Prague, Czech Republic
| | - Jana Vitku
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 116 94 Prague, Czech Republic
| | - Richard Hampl
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 116 94 Prague, Czech Republic
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Guo Z, Zhang Y, Zou L, Wang D, Shao C, Wang Y, Sun W, Zhang L. A Proteomic Analysis of Individual and Gender Variations in Normal Human Urine and Cerebrospinal Fluid Using iTRAQ Quantification. PLoS One 2015. [PMID: 26222143 PMCID: PMC4519152 DOI: 10.1371/journal.pone.0133270] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Urine and cerebrospinal fluid (CSF) are two important biofluids used for disease biomarker discovery. For differential proteomic analysis, it is essential to evaluate individual and gender variations. In this study, we characterized urinary and CSF proteomes of 14 healthy volunteers with regard to individual and gender variations using 2DLC-MS/MS analysis and 8-plex iTRAQ quantification. A total of 968/512 urinary/CSF proteins were identified, with 406/280 quantified in all individuals. The median inter-individual coefficients of variation (CVs) were 0.262 and 0.183 for urinary and CSF proteomes, respectively. Cluster analysis showed that male and female urinary proteomes exhibited different patterns, though CSF proteome showed no remarkable gender differences. In comparison with CSF proteome, urinary proteome showed higher individual variation. Further analysis revealed that individual variation was not correlated with protein abundance. The minimum sample size for proteomic analysis with a 2-fold change was 10 (4/5 for males/females using iTRAQ quantification) for urinary or 8 for CSF proteome. Intracellular proteins leaked from exfoliative cells tended to have higher CVs, and extracellular proteins secreted from urinary tract or originating from plasma tended to have lower CVs. The above results might be beneficial for differential proteomic analysis and biomarker discovery.
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Affiliation(s)
- Zhengguang Guo
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, China, 100005
| | - Yang Zhang
- Department of Neurosurgery/China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, 6 Tian Tan Xi Li, Beijing, China, 100050
| | - Lili Zou
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, China, 100005
| | - Danqi Wang
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, China, 100005
| | - Chen Shao
- National Key Laboratory of Medical Molecular Biology, Department of Physiology and Pathophysiology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, China, 100005
| | - Yajie Wang
- Core Laboratory for Clinical Medical Research, Beijing Tiantan Hospital, Capital Medical University, 6 Tian Tan Xi Li, Beijing, China, 100050
- Department of Clinical Laboratory Diagnosis, Beijing Tiantan Hospital, Capital Medical University, 6 Tian Tan Xi Li, Beijing, China, 100050
| | - Wei Sun
- Core Facility of Instrument, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, China, 100005
- * E-mail: (WS); (LZ)
| | - Liwei Zhang
- Department of Neurosurgery/China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, 6 Tian Tan Xi Li, Beijing, China, 100050
- * E-mail: (WS); (LZ)
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Low-bias phosphopeptide enrichment from scarce samples using plastic antibodies. Sci Rep 2015; 5:11438. [PMID: 26126808 PMCID: PMC4486973 DOI: 10.1038/srep11438] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Accepted: 05/18/2015] [Indexed: 02/04/2023] Open
Abstract
Phosphospecific enrichment techniques and mass spectrometry (MS) are essential tools for comprehending the cellular phosphoproteome. Here, we report a fast and simple approach for low sequence-bias phosphoserine (pS) peptide capture and enrichment that is compatible with low biological or clinical sample input. The approach exploits molecularly imprinted polymers (MIPs, “plastic antibodies”) featuring tight neutral binding sites for pS or pY that are capable of cross-reacting with phosphopeptides of protein proteolytic digests. The versatility of the resulting method was demonstrated with small samples of whole-cell lysate from human embryonic kidney (HEK) 293T cells, human neuroblastoma SH-SY5Y cells, mouse brain or human cerebrospinal fluid (CSF). Following pre-fractionation of trypsinized proteins by strong cation exchange (SCX) chromatography, pS-MIP enrichment led to the identification of 924 phosphopeptides in the HEK 293T whole-cell lysate, exceeding the number identified by TiO2-based enrichment (230). Moreover, the phosphopeptides were extracted with low sequence bias and showed no evidence for the characteristic preference of TiO2 for acidic amino acids (aspartic and glutamic acid). Applying the method to human CSF led to the discovery of 47 phosphopeptides belonging to 24 proteins and revealed three previously unknown phosphorylation sites.
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Conti A, Alessio M. Comparative Proteomics for the Evaluation of Protein Expression and Modifications in Neurodegenerative Diseases. INTERNATIONAL REVIEW OF NEUROBIOLOGY 2015; 121:117-52. [PMID: 26315764 DOI: 10.1016/bs.irn.2015.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Together with hypothesis-driven approaches, high-throughput differential proteomic analysis performed primarily not only in human cerebrospinal fluid and serum but also on protein content of other tissues (blood cells, muscles, peripheral nerves, etc.) has been used in the last years to investigate neurodegenerative diseases. Even if the goal for these analyses was mainly the discovery of neurodegenerative disorders biomarkers, the characterization of specific posttranslational modifications (PTMs) and the differential protein expression resulted in being very informative to better define the pathological mechanisms. In this chapter are presented and discussed the positive aspects and challenges of the outcomes of some of our investigations on neurological and neurodegenerative disease, in order to highlight the important role of protein PTMs studies in proteomics-based approaches.
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Affiliation(s)
- Antonio Conti
- Proteome Biochemistry, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Massimo Alessio
- Proteome Biochemistry, Division of Genetics and Cell Biology, IRCCS San Raffaele Scientific Institute, Milano, Italy.
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Sosvorova L, Vitku J, Chlupacova T, Mohapl M, Hampl R. Determination of seven selected neuro- and immunomodulatory steroids in human cerebrospinal fluid and plasma using LC-MS/MS. Steroids 2015; 98:1-8. [PMID: 25676787 DOI: 10.1016/j.steroids.2015.01.019] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2014] [Revised: 12/31/2014] [Accepted: 01/23/2015] [Indexed: 01/17/2023]
Abstract
Dehydroepiandrosterone (DHEA) and its 7-oxo- and 7-hydroxy-metabolites occurring in the brain are considered neurosteroids. Metabolism of the latter is catalysed by 11β-hydroxysteroid dehydrogenase (11β-HSD) which also interconverts cortisol and cortisone. The concurrent metabolic reaction to DHEA 7-hydroxylation is the formation of 16α-hydroxy-DHEA. The LC-MS/MS method using triple stage quadrupole-mass spectrometer was developed for simultaneous quantification of free DHEA, 7α-hydroxy-DHEA, 7β-hydroxy-DHEA, 7-oxo-DHEA, 16α-hydroxy-DHEA, cortisol and cortisone in human plasma and cerebrospinal fluid (CSF). The method employs 500 μL of human plasma and 3000 μL of CSF extracted with diethyl ether and derivatized with 2-hydrazinopyridine. It has been validated in terms of sensitivity, precision and recovery. In plasma, the following values were obtained: limit of detection: 2-50p g/mL; limit of quantification: 5-140 pg/mL; within-day precision 0.58-14.58%; between-day precision: 1.24-13.89% and recovery: 85-113.2%). For CSF, the values of limit of detection: 2-28 pg/mL; limit of quantification: 6-94 pg/mL; within-day precision; 0.63-5.48%; between-day precision: 0.88-14.59% and recovery: 85.1-109.4% were acquired. Medians and concentration ranges of detected steroids in plasma and CSF are given in subjects with excluded normal pressure hydrocephalus (n=37; 65-80 years). The method enables simultaneous quantification of steroids important for the estimation of 11β-HSD activity in human plasma and CSF. It will be helpful in better understanding various degenerative diseases development and progression.
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Affiliation(s)
- Lucie Sosvorova
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 11694 Prague, Czech Republic
| | - Jana Vitku
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 11694 Prague, Czech Republic
| | - Tereza Chlupacova
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 11694 Prague, Czech Republic
| | - Milan Mohapl
- Military University Hospital Prague, Department of Neurosurgery, U Vojenske nemocnice 1200, 16902 Prague, Czech Republic
| | - Richard Hampl
- Institute of Endocrinology, Department of Steroids and Proteofactors, Narodni 8, 11694 Prague, Czech Republic.
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45
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Higdon R, Kolker E. Can "normal" protein expression ranges be estimated with high-throughput proteomics? J Proteome Res 2015; 14:2398-407. [PMID: 25877823 DOI: 10.1021/acs.jproteome.5b00176] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Although biological science discovery often involves comparing conditions to a normal state, in proteomics little is actually known about normal. Two Human Proteome studies featured in Nature offer new insights into protein expression and an opportunity to assess how high-throughput proteomics measures normal protein ranges. We use data from these studies to estimate technical and biological variability in protein expression and compare them to other expression data sets from normal tissue. Results show that measured protein expression across same-tissue replicates vary by ±4- to 10-fold for most proteins. Coefficients of variation (CV) for protein expression measurements range from 62% to 117% across different tissue experiments; however, adjusting for technical variation reduced this variability by as much as 50%. In addition, the CV could also be reduced by limiting comparisons to proteins with at least 3 or more unique peptide identifications as the CV was on average 33% lower than for proteins with 2 or fewer peptide identifications. We also selected 13 housekeeping proteins and genes that were expressed across all tissues with low variability to determine their utility as a reference set for normalization and comparative purposes. These results present the first step toward estimating normal protein ranges by determining the variability in expression measurements through combining publicly available data. They support an approach that combines standard protocols with replicates of normal tissues to estimate normal protein ranges for large numbers of proteins and tissues. This would be a tremendous resource for normal cellular physiology and comparisons of proteomics studies.
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Affiliation(s)
- Roger Higdon
- †Bioinformatics and High-Throughput Analysis Laboratory, Seattle Children's Research Institute, Seattle, Washington 98101, United States.,‡CDO Analytics, Seattle Children's Hospital, Seattle, Washington 98101, United States
| | - Eugene Kolker
- †Bioinformatics and High-Throughput Analysis Laboratory, Seattle Children's Research Institute, Seattle, Washington 98101, United States.,‡CDO Analytics, Seattle Children's Hospital, Seattle, Washington 98101, United States.,§Departments of Biomedical Informatics and Medical Education and Pediatrics, University of Washington, Seattle, Washington 98195, United States.,∥Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States
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Zhang Y, Guo Z, Zou L, Yang Y, Zhang L, Ji N, Shao C, Sun W, Wang Y. A comprehensive map and functional annotation of the normal human cerebrospinal fluid proteome. J Proteomics 2015; 119:90-9. [DOI: 10.1016/j.jprot.2015.01.017] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2014] [Revised: 12/25/2014] [Accepted: 01/13/2015] [Indexed: 01/11/2023]
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47
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NMR metabonomics of cerebrospinal fluid distinguishes between Parkinson's disease and controls. Neurosci Lett 2015; 594:36-9. [PMID: 25817365 DOI: 10.1016/j.neulet.2015.03.051] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2015] [Accepted: 03/24/2015] [Indexed: 11/21/2022]
Abstract
This study assesses if nuclear magnetic resonance (NMR) metabonomics can discriminate between Parkinson's disease (PD) patients and control subjects, and consequently identify metabolic markers for the disease. One-dimensional (1)H NMR spectroscopy was used for quantitative analysis of metabolites in the cerebrospinal fluid (CSF) from 10 PD patients and 10 control individuals, together with uni- and multivariate statistical analysis to discriminate between the groups and to identify significantly altered metabolite concentrations. In total 60 metabolites were identified and of those 38 were quantified in all CSF samples. An overall lowering of metabolite content was observed in PD patients compared to control subjects (fold change of 0.85±0.30). Multivariate statistics reveal significant changes (ǀw*ǀ>0.2) among nine metabolites (alanine, creatinine, dimethylamine, glucose, lactate, mannose, phenylalanine, 3-hydroxyisobutyric acid and 3-hydroxyisovaleric acid). Three of these (alanine, creatinine and mannose) are identified as significantly changed also by univariate statistics (p<0.00132, Bonferroni corrected). Panels with all or a selected set of these metabolites were successfully used for discriminating between the two groups. In conclusion, NMR metabonomics can readily determine metabolite concentrations in CSF, identify putative biomarkers that distinguish between the PD patients and control subjects, and thus potentially become a tool for diagnostic purposes.
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Fernandez-Irigoyen J, Labarga A, Zabaleta A, de Morentin XM, Perez-Valderrama E, Zelaya MV, Santamaria E. Toward defining the anatomo-proteomic puzzle of the human brain: An integrative analysis. Proteomics Clin Appl 2015; 9:796-807. [PMID: 25418211 DOI: 10.1002/prca.201400127] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Revised: 10/17/2014] [Accepted: 11/18/2014] [Indexed: 01/18/2023]
Abstract
The human brain is exceedingly complex, constituted by billions of neurons and trillions of synaptic connections that, in turn, define ∼900 neuroanatomical subdivisions in the adult brain (Hawrylycz et al. An anatomically comprehensive atlas of the human brain transcriptome. Nature 2012, 489, 391-399). The human brain transcriptome has revealed specific regional transcriptional signatures that are regulated in a spatiotemporal manner, increasing the complexity of the structural and molecular organization of this organ (Kang et al. Spatio-temporal transcriptome of the human brain. Nature 2011, 478, 483-489). During the last decade, neuroproteomics has emerged as a powerful approach to profile neural proteomes using shotgun-based MS, providing complementary information about protein content and function at a global level. Here, we revise recent proteome profiling studies performed in human brain, with special emphasis on proteome mapping of anatomical macrostructures, specific subcellular compartments, and cerebrospinal fluid. Moreover, we have performed an integrative functional analysis of the protein compilation derived from these large-scale human brain proteomic studies in order to obtain a comprehensive view of human brain biology. Finally, we also discuss the potential contribution of our meta-analysis to the Chromosome-centric Human Proteome Project initiative.
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Affiliation(s)
- Joaquín Fernandez-Irigoyen
- Clinical Neuroproteomics Group, Proteomics Unit, Proteored-ISCIII, Navarrabiomed, Fundación Miguel Servet, Pamplona, Spain
| | - Alberto Labarga
- Bioinformatics Unit, Navarrabiomed, Fundación Miguel Servet, Pamplona, Spain
| | - Aintzane Zabaleta
- Biofunctional Nanomaterials Laboratory, CIC Biomagune, San Sebastian, Spain
| | - Xabier Martínez de Morentin
- Clinical Neuroproteomics Group, Proteomics Unit, Proteored-ISCIII, Navarrabiomed, Fundación Miguel Servet, Pamplona, Spain
| | - Estela Perez-Valderrama
- Clinical Neuroproteomics Group, Proteomics Unit, Proteored-ISCIII, Navarrabiomed, Fundación Miguel Servet, Pamplona, Spain
| | | | - Enrique Santamaria
- Clinical Neuroproteomics Group, Proteomics Unit, Proteored-ISCIII, Navarrabiomed, Fundación Miguel Servet, Pamplona, Spain
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49
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Qi W, Guan Q, Sun T, Cao Y, Zhang L, Guo Y. Improving detection sensitivity of amino acids in thyroid tissues by using phthalic acid as a mobile phase additive in hydrophilic interaction chromatography-electrospray ionization-tandem mass spectrometry. Anal Chim Acta 2015; 870:75-82. [PMID: 25819789 DOI: 10.1016/j.aca.2015.02.048] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Revised: 02/13/2015] [Accepted: 02/16/2015] [Indexed: 11/25/2022]
Abstract
In this work, 0.08 mmol L(-1) of phthalic acid was introduced as a mobile phase additive to quantify free amino acids (AAs) by hydrophilic interaction liquid chromatography (HILIC) coupled with electrospray ionization tandem mass spectrometry (ESI-MS/MS). The addition of phthalic acid significantly increased the signal intensity of protonated AA ions, resulting from the decrease of the relative abundance of AA sodium adducts. Meanwhile, the chromatographic peak shapes of AAs were optimized. As a consequence, there was a noticeable increase in the sensitivity of detection for AAs. The limits of detection (LOD) and quantification (LOQ) of the AAs ranged from 0.0500 to 20.0 ng mL(-1) and from 0.100 to 50.0 ng mL(-1), respectively, which were 4-50 times lower compared to the values measured without the addition of phthalic acid. The enhanced detection and separation of AAs were obtained by merely adding phthalic acid to the mobile phase without changing other conditions. Eventually, this simple method was validated and successfully applied to the analysis of twenty-four kinds of free AAs in human thyroid carcinoma and para-carcinoma tissues, demonstrating a significant increase of most AAs in thyroid carcinoma tissues (p<0.05).
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Affiliation(s)
- Wanshu Qi
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
| | - Qing Guan
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center (FUSCC), Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Tuanqi Sun
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center (FUSCC), Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
| | - Yanjing Cao
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China
| | - Li Zhang
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
| | - Yinlong Guo
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, China.
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50
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Conti A, Alessio M. Proteomics for Cerebrospinal Fluid Biomarker Identification in Parkinsons Disease: Methods and Critical Aspects. AIMS MEDICAL SCIENCE 2015. [DOI: 10.3934/medsci.2015.1.1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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