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Sun Y, Zhang Y, Lu Z, Liao Y, Feng Q, Yu M, Chen Y, Kang Z, Feng X, Zhao G, Sun J, Yang Y, Guo L, Zhang D, Bi W, Huang H, Yue W. Contribution of copy number variants on antipsychotic treatment response in Han Chinese patients with schizophrenia. EBioMedicine 2024; 105:105195. [PMID: 38870545 PMCID: PMC11225184 DOI: 10.1016/j.ebiom.2024.105195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 05/17/2024] [Accepted: 05/28/2024] [Indexed: 06/15/2024] Open
Abstract
BACKGROUND Response to antipsychotic drugs (APD) varies greatly among individuals and is affected by genetic factors. This study aims to demonstrate genome-wide associations between copy number variants (CNVs) and response to APD in patients with schizophrenia. METHODS A total of 3030 patients of Han Chinese ethnicity randomly received APD (aripiprazole, olanzapine, quetiapine, risperidone, ziprasidone, haloperidol and perphenazine) treatment for six weeks. This study is a secondary data analysis. Percentage change on the Positive and Negative Syndrome Scale (PANSS) reduction was used to assess APD efficacy, and more than 50% change was considered as APD response. Associations between CNV burden, gene set, CNV loci and CNV break-point and APD efficacy were analysed. FINDINGS Higher CNV losses burden decreased the odds of 6-week APD response (OR = 0.66 [0.44, 0.98]). CNV losses in synaptic pathway involved in neurotransmitters were associated with 2-week PANSS reduction rate. CNV involved in sialylation (1p31.1 losses) and cellular metabolism (19q13.32 gains) associated with 6-week PANSS reduction rate at genome-wide significant level. Additional 36 CNVs associated with PANSS factors improvement. The OR of protective CNVs for 6-week APD response was 3.10 (95% CI: 1.33-7.19) and risk CNVs was 8.47 (95% CI: 1.92-37.43). CNV interacted with genetic risk score on APD efficacy (Beta = -1.53, SE = 0.66, P = 0.021). The area under curve to differ 6-week APD response attained 80.45% (95% CI: 78.07%-82.82%). INTERPRETATION Copy number variants contributed to poor APD efficacy and synaptic pathway involved in neurotransmitter was highlighted. FUNDING National Natural Science Foundation of China, National Key R&D Program of China, China Postdoctoral Science Foundation.
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Affiliation(s)
- Yaoyao Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yuyanan Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Zhe Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yundan Liao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Qidi Feng
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Mingrui Yu
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yu Chen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Zhewei Kang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Xiaoyang Feng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Guorui Zhao
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Junyuan Sun
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yang Yang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Liangkun Guo
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Dai Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China; Chinese Institute for Brain Research, Beijing 102206, China
| | - Wenjian Bi
- Department of Medical Genetics, School of Basic Medical Sciences, Peking University, Beijing 100191, China
| | - Hailiang Huang
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
| | - Weihua Yue
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China; PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.
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Minic Janicijevic S, Jovanovic IP, Gajovic NM, Jurisevic MM, Debnath M, Arsenijevic NN, Borovcanin MM. Galectin-3 mediated risk of inflammation in stable schizophrenia, with only possible secondary consequences for cognition. World J Psychiatry 2022; 12:1183-1193. [PMID: 36186503 PMCID: PMC9521526 DOI: 10.5498/wjp.v12.i9.1183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/14/2022] [Accepted: 08/11/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Evidence suggests that cytokines cause immune disturbances, shape immunological sequelae later in life, and modulate the risk of schizophrenia (SC). Galectin-3 (Gal-3), a multifaceted molecule of the glycan family, is involved in the formation of the immunological synapse and modulates the signalling pathway and effector functions of T lymphocytes, which are major producers of cytokines. We have previously reported elevated serum Gal-3 levels in stable SC patients. However, Gal-3 as a link between cognitive functioning and inflammation has not yet been investigated in SC.
AIM To investigate the relationship between serum Gal-3 levels and cognitive performance, serum cytokines, and white blood cell count in three-month stably treated SC patients.
METHODS Twenty-seven patients with SC in remission and 18 healthy volunteers participated in this case-control and correlational study. Clinical assessment was performed using the Positive and Negative Syndrome Scale and the Montreal-Cognitive Assessment. The results of previously measured serum levels of Gal-3, interleukin (IL)-33, soluble suppression of tumorigenicity 2 (sST2), tumor necrosis factor-alpha (TNF-α), IL-6 and IL-17 were used for further statistical analyses, and IL-4, IL-23, IL-1β and transforming growth factor-beta (TGF-β) were now additionally measured with a sensitive enzyme-linked immunosorbent assay. The number of leukocytes in the blood and the percentage of neutrophils, lymphocytes, and monocytes were determined with a standardized routine measurement procedure (Sysmex Technology). Statistical analyses were performed using SPSS 20.0 software.
RESULTS We found no correlation between serum Gal-3 levels and cognitive functioning in SC patients. A positive correlation was found between the levels of Gal-3 and TNF-α (r = 0.476; P = 0.012), Gal-3 and IL-23 (r = 0.417; P = 0.031), and Gal-3 and sST2 (r = 0.402; P = 0.038). The binary logistic model, which included all nine cytokines measured in this patient sample, indicated the particular role of Gal-3 and TGF-β in the duration of SC. In the stabilization phase of SC, we observed a moderate and negative correlation between serum Gal-3 levels and leukocytes (r = -0.449; P < 0.019). Additional linear regression analysis showed a positive correlation between Gal-3 expression and risperidone dose (F: 4.467; P < 0.045; r2 = 0.396).
CONCLUSION The combined activity of Gal-3 and proinflammatory cytokines, TGF-β downregulation and lower counts of leukocytes influence the SC duration. Gal-3 likely manifests indirect immunometabolic regulation of cognition in SC.
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Affiliation(s)
| | - Ivan P Jovanovic
- Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, Kragujevac 34000, Serbia
| | - Nevena M Gajovic
- Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, Kragujevac 34000, Serbia
| | - Milena M Jurisevic
- Department of Pharmacy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac 34000, Serbia
| | - Monojit Debnath
- Department of Human Genetics, National Institute of Mental Health and Neurosciences, Bangalore 560029, India
| | - Nebojsa N Arsenijevic
- Center for Molecular Medicine and Stem Cell Research, Faculty of Medical Sciences, University of Kragujevac, Kragujevac 34000, Serbia
| | - Milica M Borovcanin
- Department of Psychiatry, Faculty of Medical Sciences, University of Kragujevac, Kragujevac 34000, Serbia
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Burghardt KJ, Calme G, Caruso M, Howlett BH, Sanders E, Msallaty Z, Mallisho A, Seyoum B, Qi YA, Zhang X, Yi Z. Profiling the Skeletal Muscle Proteome in Patients on Atypical Antipsychotics and Mood Stabilizers. Brain Sci 2022; 12:259. [PMID: 35204022 PMCID: PMC8870450 DOI: 10.3390/brainsci12020259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 02/04/2023] Open
Abstract
Atypical antipsychotics (AAP) are used in the treatment of severe mental illness. They are associated with several metabolic side effects including insulin resistance. The skeletal muscle is the primary tissue responsible for insulin-stimulated glucose uptake. Dysfunction of protein regulation within the skeletal muscle following treatment with AAPs may play a role in the associated metabolic side effects. The objective of this study was to measure protein abundance in the skeletal muscle of patients on long-term AAP or mood stabilizer treatment. Cross-sectional muscle biopsies were obtained from patients with bipolar disorder and global protein abundance was measured using stable isotope labeling by amino acid (SILAC) combined with high-performance liquid chromatography-electrospray ionization tandem mass spectrometry (HPLC-ESI-MS/MS). Sixteen patients completed muscle biopsies and were included in the proteomic analyses. A total of 40 proteins were significantly different between the AAP group and the mood stabilizer group. In-silico pathway analysis identified significant enrichment in several pathways including glucose metabolism, cell cycle, apoptosis, and folate metabolism. Proteome abundance changes also differed based on protein biological processes and function. In summary, significant differences in proteomic profiles were identified in the skeletal muscle between patients on AAPs and mood stabilizers. Future work is needed to validate these findings in prospectively sampled populations.
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Affiliation(s)
- Kyle J. Burghardt
- Department of Pharmacy Practice, University Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Suite 2190, Detroit, MI 48201, USA; (G.C.); (B.H.H.); (E.S.)
| | - Griffin Calme
- Department of Pharmacy Practice, University Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Suite 2190, Detroit, MI 48201, USA; (G.C.); (B.H.H.); (E.S.)
| | - Michael Caruso
- Department of Pharmaceutical Science, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Detroit, MI 48201, USA; (M.C.); (X.Z.); (Z.Y.)
| | - Bradley H. Howlett
- Department of Pharmacy Practice, University Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Suite 2190, Detroit, MI 48201, USA; (G.C.); (B.H.H.); (E.S.)
| | - Elani Sanders
- Department of Pharmacy Practice, University Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Suite 2190, Detroit, MI 48201, USA; (G.C.); (B.H.H.); (E.S.)
| | - Zaher Msallaty
- Division of Endocrinology, School of Medicine, Wayne State University, 4201 St Antoine, Detroit, MI 48201, USA; (Z.M.); (A.M.); (B.S.)
| | - Abdullah Mallisho
- Division of Endocrinology, School of Medicine, Wayne State University, 4201 St Antoine, Detroit, MI 48201, USA; (Z.M.); (A.M.); (B.S.)
| | - Berhane Seyoum
- Division of Endocrinology, School of Medicine, Wayne State University, 4201 St Antoine, Detroit, MI 48201, USA; (Z.M.); (A.M.); (B.S.)
| | - Yue A. Qi
- Center for Alzheimer’s and Related Dementias, National Institutes of Health, Bethesda, MD 20892, USA;
| | - Xiangmin Zhang
- Department of Pharmaceutical Science, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Detroit, MI 48201, USA; (M.C.); (X.Z.); (Z.Y.)
| | - Zhengping Yi
- Department of Pharmaceutical Science, Eugene Applebaum College of Pharmacy and Health Sciences, Wayne State University, 259 Mack Avenue, Detroit, MI 48201, USA; (M.C.); (X.Z.); (Z.Y.)
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Glycomic and Glycoproteomic Techniques in Neurodegenerative Disorders and Neurotrauma: Towards Personalized Markers. Cells 2022; 11:cells11030581. [PMID: 35159390 PMCID: PMC8834236 DOI: 10.3390/cells11030581] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/22/2022] [Accepted: 02/03/2022] [Indexed: 12/16/2022] Open
Abstract
The proteome represents all the proteins expressed by a genome, a cell, a tissue, or an organism at any given time under defined physiological or pathological circumstances. Proteomic analysis has provided unparalleled opportunities for the discovery of expression patterns of proteins in a biological system, yielding precise and inclusive data about the system. Advances in the proteomics field opened the door to wider knowledge of the mechanisms underlying various post-translational modifications (PTMs) of proteins, including glycosylation. As of yet, the role of most of these PTMs remains unidentified. In this state-of-the-art review, we present a synopsis of glycosylation processes and the pathophysiological conditions that might ensue secondary to glycosylation shortcomings. The dynamics of protein glycosylation, a crucial mechanism that allows gene and pathway regulation, is described. We also explain how-at a biomolecular level-mutations in glycosylation-related genes may lead to neuropsychiatric manifestations and neurodegenerative disorders. We then analyze the shortcomings of glycoproteomic studies, putting into perspective their downfalls and the different advanced enrichment techniques that emanated to overcome some of these challenges. Furthermore, we summarize studies tackling the association between glycosylation and neuropsychiatric disorders and explore glycoproteomic changes in neurodegenerative diseases, including Alzheimer's disease, Parkinson's disease, Huntington disease, multiple sclerosis, and amyotrophic lateral sclerosis. We finally conclude with the role of glycomics in the area of traumatic brain injury (TBI) and provide perspectives on the clinical application of glycoproteomics as potential diagnostic tools and their application in personalized medicine.
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Borovcanin MM, Vesic K, Jovanovic M, Mijailovic NR. Galectin-3 possible involvement in antipsychotic-induced metabolic changes of schizophrenia: A minireview. World J Diabetes 2021; 12:1731-1739. [PMID: 34754374 PMCID: PMC8554363 DOI: 10.4239/wjd.v12.i10.1731] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 07/24/2021] [Accepted: 08/06/2021] [Indexed: 02/06/2023] Open
Abstract
Recently, specific immunometabolic profiles have been postulated in patients with schizophrenia, even before full-blown disease and independent of antipsychotic treatment. Proteomic profiling studies offer a promising potential for elucidating the cellular and molecular pathways that may be involved in the onset and progression of schizophrenia symptoms, and co-occurrent metabolic changes. In view of all this, we were intrigued to explore galectin-3 (Gal-3) as a glycan, and in our previous study, we measured its elevated levels in remission of schizophrenia. The finding may be a consequence of antipsychotic treatment and may have an impact on the onset of inflammation, the development of obesity, and the presumed cognitive changes in schizophrenia. In the animal study, it was shown that downregulation of Gal-3 was beneficial in insulin regulation of obesity and cognitive preservation. Strategies involving plasma exchange are discussed in this review, particularly in the context of Gal-3 elimination.
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Affiliation(s)
- Milica M Borovcanin
- Department of Psychiatry, University of Kragujevac, Faculty of Medical Sciences, Kragujevac 34000, Sumadija, Serbia
| | - Katarina Vesic
- Department of Neurology, University of Kragujevac, Faculty of Medical Sciences, Kragujevac 34000, Sumadija, Serbia
| | - Milena Jovanovic
- PhD Studies, University of Kragujevac, Faculty of Medical Sciences, Kragujevac 34000, Sumadija, Serbia
- Clinic for Nephrology and Dialysis, University Clinical Center Kragujevac, Kragujevac 34000, Sumadija, Serbia
| | - Natasa R Mijailovic
- Department of Pharmacy, University of Kragujevac, Faculty of Medical Sciences, Kragujevac 34000, Sumadija, Serbia
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Dipta P, Sarsenbayeva A, Shmuel M, Forno F, Eriksson JW, Pereira MJ, Abalo XM, Wabitsch M, Thaysen-Andersen M, Tirosh B. Macrophage-derived secretome is sufficient to confer olanzapine-mediated insulin resistance in human adipocytes. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2021; 7:100073. [PMID: 35757056 PMCID: PMC9216267 DOI: 10.1016/j.cpnec.2021.100073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 07/22/2021] [Indexed: 12/15/2022] Open
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Kucera J, Horska K, Hruska P, Kuruczova D, Micale V, Ruda-Kucerova J, Bienertova-Vasku J. Interacting effects of the MAM model of schizophrenia and antipsychotic treatment: Untargeted proteomics approach in adipose tissue. Prog Neuropsychopharmacol Biol Psychiatry 2021; 108:110165. [PMID: 33152383 DOI: 10.1016/j.pnpbp.2020.110165] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 10/29/2020] [Accepted: 10/30/2020] [Indexed: 12/19/2022]
Abstract
Schizophrenia is a severe neuropsychiatric disease associated with substantially higher mortality. Reduced life expectancy in schizophrenia relates to an increased prevalence of metabolic disturbance, and antipsychotic medication is a major contributor. Molecular mechanisms underlying adverse metabolic effects of antipsychotics are not fully understood; however, adipose tissue homeostasis deregulation appears to be a critical factor. We employed mass spectrometry-based untargeted proteomics to assess the effect of chronic olanzapine, risperidone, and haloperidol treatment in visceral adipose tissue of prenatally methylazoxymethanol (MAM) acetate exposed rats, a well-validated neurodevelopmental animal model of schizophrenia. Bioinformatics analysis of differentially expressed proteins was performed to highlight the pathways affected by MAM and the antipsychotics treatment. MAM model was associated with the deregulation of the TOR (target of rapamycin) signalling pathway. Notably, alterations in protein expression triggered by antipsychotics were observed only in schizophrenia-like MAM animals where we revealed hundreds of affected proteins according to our two-fold threshold, but not in control animals. Treatments with all antipsychotics in MAM rats resulted in the downregulation of mRNA processing and splicing, while drug-specific effects included among others upregulation of insulin resistance (olanzapine), upregulation of fatty acid metabolism (risperidone), and upregulation of nucleic acid metabolism (haloperidol). Our data indicate that deregulation of several energetic and metabolic pathways in adipose tissue is associated with APs administration and is prominent in MAM schizophrenia-like model but not in control animals.
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Affiliation(s)
- Jan Kucera
- Research Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Katerina Horska
- Department of Human Pharmacology and Toxicology, Faculty of Pharmacy, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic; Department of Human Pharmacology and Toxicology, Faculty of Pharmacy, Masaryk University, Brno, Czech Republic
| | - Pavel Hruska
- Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Daniela Kuruczova
- Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Vincenzo Micale
- Department of Biomedical and Biotechnological Sciences, Section of Pharmacology, University of Catania, Catania, Italy; National Institute of Mental Health, Klecany, Czech Republic
| | - Jana Ruda-Kucerova
- Department of Pharmacology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
| | - Julie Bienertova-Vasku
- Research Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science, Masaryk University, Brno, Czech Republic; Department of Pathological Physiology, Faculty of Medicine, Masaryk University, Brno, Czech Republic.
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Aberrant glycosylation in schizophrenia: a review of 25 years of post-mortem brain studies. Mol Psychiatry 2020; 25:3198-3207. [PMID: 32404945 PMCID: PMC8081047 DOI: 10.1038/s41380-020-0761-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 04/18/2020] [Accepted: 04/24/2020] [Indexed: 02/06/2023]
Abstract
Glycosylation, the enzymatic attachment of carbohydrates to proteins and lipids, regulates nearly all cellular processes and is critical in the development and function of the nervous system. Axon pathfinding, neurite outgrowth, synaptogenesis, neurotransmission, and many other neuronal processes are regulated by glycans. Over the past 25 years, studies analyzing post-mortem brain samples have found evidence of aberrant glycosylation in individuals with schizophrenia. Proteins involved in both excitatory and inhibitory neurotransmission display altered glycans in the disease state, including AMPA and kainate receptor subunits, glutamate transporters EAAT1 and EAAT2, and the GABAA receptor. Polysialylated NCAM (PSA-NCAM) and perineuronal nets, highly glycosylated molecules critical for axonal migration and synaptic stabilization, are both downregulated in multiple brain regions of individuals with schizophrenia. In addition, enzymes spanning several pathways of glycan synthesis show differential expression in brains of individuals with schizophrenia. These changes may be due to genetic predisposition, environmental perturbations, medication use, or a combination of these factors. However, the recent association of several enzymes of glycosylation with schizophrenia by genome-wide association studies underscores the importance of glycosylation in this disease. Understanding how glycosylation is dysregulated in the brain will further our understanding of how this pathway contributes to the development and pathophysiology of schizophrenia.
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Post-translational protein modifications in schizophrenia. NPJ SCHIZOPHRENIA 2020; 6:5. [PMID: 32123175 PMCID: PMC7051976 DOI: 10.1038/s41537-020-0093-9] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 01/09/2020] [Indexed: 12/13/2022]
Abstract
Research investigating the pathophysiology of schizophrenia has not yet precisely defined the molecular phenotype of this disorder. Many studies have investigated cellular dysfunction by examining expression levels of molecular targets in postmortem patient brain; however, inconsistencies between transcript and protein measures in schizophrenia are common in the field and represent a challenge to the identification of a unified model of schizophrenia pathogenesis. In humans, >4800 unique proteins are expressed, and the majority of these are modified by glycans and/or lipids. Estimates indicate ~70% of all eukaryotic proteins are modified by at least one type of glycosylation, while nearly 20% of all proteins are known to be lipid-modified. Protein post-translational modification (PTM) by glycosylation and lipidation rely on the spatiotemporal colocalization of enzyme, substrate, and glycan or lipid donor molecule and do not require an upstream “blueprint” or specialized processing machinery for synthesis. Glycan and lipid PTMs can thus facilitate cellular adaptation to environmental signals more rapidly than changes of gene or protein expression, and can significantly impact the localization, function, and interactions of modified substrates, though relatively few studies in schizophrenia have evaluated the PTM status of target proteins. A growing body of literature reports glycosylation and lipidation abnormalities in schizophrenia brain as well as in patient peripheral fluids. In this review, we explain the functional significance of key glycan and lipid PTMs and summarize current findings associated with abnormal glycosylation and lipidation in this illness.
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Paolino M, Licciardi M, Savoca C, Giammona G, Modica De Mohac L, Reale A, Giuliani G, Komber H, Donati A, Leone G, Magnani A, Anzini M, Cappelli A. Hyaluronan Graft Copolymers Bearing Fatty-Acid Residues as Self-Assembling Nanoparticles for Olanzapine Delivery. Pharmaceutics 2019; 11:E675. [PMID: 31842344 PMCID: PMC6956235 DOI: 10.3390/pharmaceutics11120675] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 12/06/2019] [Accepted: 12/09/2019] [Indexed: 11/16/2022] Open
Abstract
In order to evaluate the potential of a technology platform based on hyaluronan copolymers grafted with propargylated ferulate fluorophores (HA-FA-Pg) in the development of drug delivery systems, the propargyl groups of HA-FA-Pg derivatives were employed with oleic acid (OA) or stearic acid (SA) residues across a biocompatible hexa(ethylene glycol) (HEG) spacer. The designed materials (i.e., HA-FA-HEG-OA or HA-FA-HEG-SA) showed clear-cut aggregation features in an aqueous environment, as confirmed by dynamic light scattering (DLS) and transmission electron microscopy (TEM), generating nanoaggregate systems. In fact, HA-FA-HEG-OA and HA-FA-HEG-SA derivatives showed the property to create self-assembled cytocompatible nanostructured aggregates in water, thanks to the simultaneous presence of hydrophilic portions in the polymeric backbone, such as hyaluronic acid, and hydrophobic portions in the side chains. Furthermore, the designed materials interact with living cells showing a high degree of cytocompatibility. The potential ability of nanosystems to load pharmacologically active molecules was assessed by the physical entrapment of olanzapine into both polymeric systems. The drug loading evaluation demonstrated that the nanoparticles are able to incorporate a good quantity of olanzapine, as well as improve drug solubility, release profile, and cytocompatibility.
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Affiliation(s)
- Marco Paolino
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Mariano Licciardi
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche (STEBICEF), Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy; (M.L.); (C.S.); (G.G.)
| | - Cristina Savoca
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche (STEBICEF), Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy; (M.L.); (C.S.); (G.G.)
| | - Gaetano Giammona
- Dipartimento di Scienze e Tecnologie Biologiche, Chimiche e Farmaceutiche (STEBICEF), Università degli Studi di Palermo, Via Archirafi 32, 90123 Palermo, Italy; (M.L.); (C.S.); (G.G.)
| | - Laura Modica De Mohac
- Dipartimento Promozione della Salute, Materno-Infantile, di Medicina Interna e Specialistica di Eccellenza “G. D’Alessandro” (PROMISE), Università degli Studi di Palermo, 90100 Palermo, Italy;
| | - Annalisa Reale
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Germano Giuliani
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Hartmut Komber
- Leibniz Institute of Polymer Research, Hohe Strasse 6, 01069 Dresden, Germany;
| | - Alessandro Donati
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Gemma Leone
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Agnese Magnani
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Maurizio Anzini
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
| | - Andrea Cappelli
- Dipartimento di Biotecnologie, Chimica e Farmacia (Dipartimento di Eccellenza 2018-2022), Università degli Studi di Siena, Via A. Moro 2, 53100 Siena, Italy; (A.R.); (G.G.); (A.D.); (G.L.); (A.M.); (M.A.); (A.C.)
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11
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Marques TR, Ashok AH, Pillinger T, Veronese M, Turkheimer FE, Dazzan P, Sommer IE, Howes OD. Neuroinflammation in schizophrenia: meta-analysis of in vivo microglial imaging studies. Psychol Med 2019; 49:2186-2196. [PMID: 30355368 PMCID: PMC6366560 DOI: 10.1017/s0033291718003057] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Revised: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Converging lines of evidence implicate an important role for the immune system in schizophrenia. Microglia are the resident immune cells of the central nervous system and have many functions including neuroinflammation, axonal guidance and neurotrophic support. We aimed to provide a quantitative review of in vivo PET imaging studies of microglia activation in patients with schizophrenia compared with healthy controls. METHODS Demographic, clinical and imaging measures were extracted from each study and meta-analysis was conducted using a random-effects model (Hedge's g). The difference in 18-kDa translocator protein (TSPO) binding between patients with schizophrenia and healthy controls, as quantified by either binding potential (BP) or volume of distribution (VT), was used as the main outcome. Sub-analysis and sensitivity analysis were carried out to investigate the effects of genotype, ligand and illness stage. RESULTS In total, 12 studies comprising 190 patients with schizophrenia and 200 healthy controls met inclusion criteria. There was a significant elevation in tracer binding in schizophrenia patients relative to controls when BP was used as an outcome measure, (Hedge's g = 0.31; p = 0.03) but no significant differences when VT was used (Hedge's g = -0.22; p = 0.29). CONCLUSIONS In conclusion, there is evidence for moderate elevations in TSPO tracer binding in grey matter relative to other brain tissue in schizophrenia when using BP as an outcome measure, but no difference when VT is the outcome measure. We discuss the relevance of these findings as well as the methodological issues that may underlie the contrasting difference between these outcomes.
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Affiliation(s)
- Tiago Reis Marques
- Psychiatric Imaging Group, MRC Clinical Sciences Centre, Du Cane Road, London W12 0NN, UK
- Psychiatric Imaging Group, London Institute of Medical Sciences (LMS), Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN, UK
| | - Abhishekh H Ashok
- Psychiatric Imaging Group, MRC Clinical Sciences Centre, Du Cane Road, London W12 0NN, UK
- Psychiatric Imaging Group, London Institute of Medical Sciences (LMS), Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
| | - Toby Pillinger
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
| | - Federico E. Turkheimer
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
| | - Paola Dazzan
- Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
| | - Iris E.C. Sommer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Oliver D Howes
- Psychiatric Imaging Group, MRC Clinical Sciences Centre, Du Cane Road, London W12 0NN, UK
- Psychiatric Imaging Group, London Institute of Medical Sciences (LMS), Faculty of Medicine, Imperial College London, Du Cane Road, London W12 0NN, UK
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, Kings College London, London, UK
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12
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Tiihonen J, Koskuvi M, Storvik M, Hyötyläinen I, Gao Y, Puttonen KA, Giniatullina R, Poguzhelskaya E, Ojansuu I, Vaurio O, Cannon TD, Lönnqvist J, Therman S, Suvisaari J, Kaprio J, Cheng L, Hill AF, Lähteenvuo M, Tohka J, Giniatullin R, Lehtonen Š, Koistinaho J. Sex-specific transcriptional and proteomic signatures in schizophrenia. Nat Commun 2019; 10:3933. [PMID: 31477693 PMCID: PMC6718673 DOI: 10.1038/s41467-019-11797-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 08/01/2019] [Indexed: 12/15/2022] Open
Abstract
It has remained unclear why schizophrenia typically manifests after adolescence and which neurobiological mechanisms are underlying the cascade leading to the actual onset of the illness. Here we show that the use of induced pluripotent stem cell-derived neurons of monozygotic twins from pairs discordant for schizophrenia enhances disease-specific signal by minimizing genetic heterogeneity. In proteomic and pathway analyses, clinical illness is associated especially with altered glycosaminoglycan, GABAergic synapse, sialylation, and purine metabolism pathways. Although only 12% of all 19,462 genes are expressed differentially between healthy males and females, up to 61% of the illness-related genes are sex specific. These results on sex-specific genes are replicated in another dataset. This implies that the pathophysiology differs between males and females, and may explain why symptoms appear after adolescence when the expression of many sex-specific genes change, and suggests the need for sex-specific treatments.
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Affiliation(s)
- Jari Tiihonen
- Department of Clinical Neuroscience, Karolinska Institutet, Byggnad R5, SE-171 76, Stockholm, Sweden. .,Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Niuvankuja 65, FI-70240, Kuopio, Finland.
| | - Marja Koskuvi
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland.,Neuroscience Center, University of Helsinki, PO Box 63, FI-00271, Helsinki, Finland
| | - Markus Storvik
- Department of Pharmacology, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Ida Hyötyläinen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Yanyan Gao
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Katja A Puttonen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Raisa Giniatullina
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Ekaterina Poguzhelskaya
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Ilkka Ojansuu
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Niuvankuja 65, FI-70240, Kuopio, Finland
| | - Olli Vaurio
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Niuvankuja 65, FI-70240, Kuopio, Finland
| | - Tyrone D Cannon
- Department of Psychology and Psychiatry, Yale University, 1 Prospect Street, New Haven, Connecticut, 06511, USA
| | - Jouko Lönnqvist
- Mental Health Unit, Department of Public Health Solutions, National Institute for Health and Welfare, PO Box 30, FI-00271, Helsinki, Finland.,Department of Psychiatry, University of Helsinki, PO Box 22, FI-00014, Helsinki, Finland
| | - Sebastian Therman
- Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, PO Box 30, FI-00271, Helsinki, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Department of Public Health Solutions, National Institute for Health and Welfare, PO Box 30, FI-00271, Helsinki, Finland
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, PO Box 20, FI-00014, Helsinki, Finland.,Institute for Molecular Medicine FIMM, University of Helsinki, PO Box 20, FI-00014, Helsinki, Finland
| | - Lesley Cheng
- Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Science Drive, Bundoora, VIC, 3083, Australia
| | - Andrew F Hill
- Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Science Drive, Bundoora, VIC, 3083, Australia
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, University of Eastern Finland, Niuvanniemi Hospital, Niuvankuja 65, FI-70240, Kuopio, Finland.,Institute for Molecular Medicine FIMM, University of Helsinki, PO Box 20, FI-00014, Helsinki, Finland
| | - Jussi Tohka
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Rashid Giniatullin
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland
| | - Šárka Lehtonen
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland. .,Neuroscience Center, University of Helsinki, PO Box 63, FI-00271, Helsinki, Finland.
| | - Jari Koistinaho
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, FI-70211, Kuopio, Finland. .,Neuroscience Center, University of Helsinki, PO Box 63, FI-00271, Helsinki, Finland.
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13
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TSPO in diverse CNS pathologies and psychiatric disease: A critical review and a way forward. Pharmacol Ther 2018; 194:44-58. [PMID: 30189290 DOI: 10.1016/j.pharmthera.2018.09.003] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
The use of Translocator Protein 18 kDa (TSPO) as a clinical neuroimaging biomarker of brain injury and neuroinflammation has increased exponentially in the last decade. There has been a furious pace in the development of new radiotracers for TSPO positron emission tomography (PET) imaging and its use has now been extensively described in many neurological and mental disorders. This fast pace of research and the ever-increasing number of new laboratories entering the field often times lack an appreciation of the historical perspective of the field and introduce dogmatic, but unproven facts, related to the underlying neurobiology of the TSPO response to brain injury and neuroinflammation. Paradoxically, while in neurodegenerative disorders and in all types of CNS pathologies brain TSPO levels increase, a new observation in psychiatric disorders such as schizophrenia is decreased brain levels of TSPO measured by PET. The neurobiological bases for this new finding is currently not known, but rigorous experimental design using multiple experimental approaches and careful interpretation of results is critically important to provide the methodological and/or biological underpinnings to this new observation. This review provides a perspective of the early history of validating TSPO as a biomarker of brain injury and neuroinflammation and a critical analysis of controversial topics in the literature related to the cellular sources of the TSPO response. The latter is important in order to provide the correct interpretation of PET studies in neurodegenerative and psychiatric disorders. Furthermore, this review proposes some yet to be explored explanations to new findings in psychiatric disorders and new approaches to quantitatively assess the glial sources of the TSPO response in order to move the field forward.
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Serum galectin-3, but not galectin-1, levels are elevated in schizophrenia: implications for the role of inflammation. Psychopharmacology (Berl) 2017; 234:2919-2927. [PMID: 28698921 DOI: 10.1007/s00213-017-4683-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2017] [Accepted: 06/27/2017] [Indexed: 01/30/2023]
Abstract
BACKGROUND Previous studies have reported that galectin-3 is involved in inflammatory processes in the central nervous system and that neuroinflammation may play a role in the pathogenesis of schizophrenia. However, the link between schizophrenia and various galectins is unclear. OBJECTIVE The objective of the present study is to determine whether galectin, a well-known lectin protein that binds to μ-galactoside, is associated with chronic schizophrenia. METHODS Thirty-six patients with schizophrenia and 36 healthy controls participated in this study. Schizophrenia symptoms were assessed using the Brief Psychiatry Rating Scale (BPRS). Serum galectin-1 and galectin-3 levels were evaluated using ELISA and compared between the participant groups. Correlation analyses were also performed to examine the relationship between BPRS scores and each galectin level. RESULTS Serum galectin-3 levels were significantly higher in patients with schizophrenia than they were in controls (p = 0.009, d = 0.640); however, serum galectin-1 levels were not significantly different between the groups (p = 0.513). No significant correlation was identified between serum galectin-3 level and the total BPRS score; however, a significant positive correlation was found between the serum galectin-3 level and the positive symptom score of the BPRS (ρ = 0.355; p = 0.033). Additionally, a significant negative correlation was identified between serum galectin-3 levels and the negative symptom score of the BPRS (ρ = -0.387; p = 0.020). CONCLUSIONS Given the high serum levels of galectin-3 found in patients with schizophrenia compared with that in controls, these findings may support the inflammation hypothesis of schizophrenia.
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15
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Mueller TM, Yates SD, Haroutunian V, Meador-Woodruff JH. Altered fucosyltransferase expression in the superior temporal gyrus of elderly patients with schizophrenia. Schizophr Res 2017; 182:66-73. [PMID: 27773385 PMCID: PMC5376218 DOI: 10.1016/j.schres.2016.10.024] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Revised: 10/13/2016] [Accepted: 10/15/2016] [Indexed: 12/24/2022]
Abstract
Glycosylation is a post-translational modification that is an essential element in cell signaling and neurodevelopmental pathway regulation. Glycan attachment can influence the tertiary structure and molecular interactions of glycosylated substrates, adding an additional layer of regulatory complexity to functional mechanisms underlying central cell biological processes. One type of enzyme-mediated glycan attachment, fucosylation, can mediate glycoprotein and glycolipid cell surface expression, trafficking, secretion, and quality control to modulate a variety of inter- and intracellular signaling cascades. Building on prior reports of glycosylation abnormalities and evidence of dysregulated glycosylation enzyme expression in schizophrenia, we examined the protein expression of 5 key fucose-modifying enzymes: GDP-fucose:protein O-fucosyltransferase 1 (POFUT1), GDP-fucose:protein O-fucosyltransferase 2 (POFUT2), fucosyltransferase 8 (FUT8), fucosyltransferase 11 (FUT11), and plasma α-l-fucosidase (FUCA2) in postmortem superior temporal gyrus of schizophrenia (N=16) and comparison (N=14) subjects. We also used the fucose binding protein, Aleuria aurantia lectin (AAL), to assess α-1,6-fucosylated N-glycoprotein abundance in the same subjects. In schizophrenia, we found increased expression of POFUT2, a fucosyltransferase uniquely responsible for O-fucosylation of thrombospondin-like repeat domains that is involved in a non-canonical endoplasmic reticulum quality control pathway. We also found decreased expression of FUT8 in schizophrenia. Given that FUT8 is the only α-1,6-fucosyltransferase expressed in mammals, the concurrent decrease in AAL binding in schizophrenia, particularly evident for N-glycoproteins in the ~52-58kDa and ~60-70kDa molecular mass ranges, likely reflects a consequence of abnormal FUT8 expression in the disorder. Dysregulated FUT8 and POFUT2 expression could potentially explain a variety of molecular abnormalities in schizophrenia.
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Affiliation(s)
- Toni M. Mueller
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA,Corresponding author: Toni M. Mueller, PhD, CIRC 593A, 1719 6th Ave South, Birmingham, AL 35233, USA, Tel: +1 205 996 6164, Fax: + 1 205 975 4879,
| | - Stefani D. Yates
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Vahram Haroutunian
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY USA
| | - James H. Meador-Woodruff
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL USA
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16
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Wang J, Cheng X, Zeng J, Yuan J, Wang Z, Zhou W, Zhang Y. LW-AFC Effects on N-glycan Profile in Senescence-Accelerated Mouse Prone 8 Strain, a Mouse Model of Alzheimer's Disease. Aging Dis 2017; 8:101-114. [PMID: 28203484 PMCID: PMC5287383 DOI: 10.14336/ad.2016.0522] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 05/22/2016] [Indexed: 12/29/2022] Open
Abstract
Glycosylation is one of the most common eukaryotic post-translational modifications, and aberrant glycosylation has been linked to many diseases. However, glycosylation and glycome analysis is a significantly challenging task. Although several lines of evidence have indicated that protein glycosylation is defective in Alzheimer’s disease (AD), only a few studies have focused on AD glycomics. The etiology of AD is unclear and there are no effective disease-modifying treatments for AD. In this study, we found that the object recognition memory, passive avoidance, and spatial learning and memory of senescence-accelerated mouse prone 8 (SAMP8) strain, an AD animal model, were deficient, and LW-AFC, which was prepared from the traditional Chinese medicine prescription Liuwei Dihuang decoction, showed beneficial effects on the deterioration of cognitive capability in SAMP8 mice. Forty-three and 56 N-glycan were identified in the cerebral cortex and serum of SAMP8 mice, respectively. The N-glycan profile in SAMP8 mice was significantly different from that of senescence accelerated mouse resistant 1 (SAMR1) strains, the control of SAMP8 mice. Treatment with LW-AFC modulated the abundance of 21 and 6 N-glycan in the cerebral cortex and serum of SAMP8 mice, respectively. The abundance of (Hex)3(HexNAc)5(Fuc)1(Neu5Ac)1 and (Hex)2(HexNAc)4 decreased in the cerebral cortex and serum of SAMP8 mice compared with SAMR1 mice, decreases that were significantly correlated with learning and memory measures. The administration of LW-AFC could reverse or increase these levels in SAMP8 mice. These results indicated that the effects of LW-AFC on cognitive impairments in SAMP8 mice might be through modulation of N-glycan patterns, and LW-AFC may be a potential anti-AD agent.
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Affiliation(s)
- Jianhui Wang
- 1Department of TCM and Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; 2State Key Laboratory of Toxicology and Medical Countermeasures, Beijing 100850, China
| | - Xiaorui Cheng
- 1Department of TCM and Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; 2State Key Laboratory of Toxicology and Medical Countermeasures, Beijing 100850, China
| | - Ju Zeng
- 1Department of TCM and Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; 2State Key Laboratory of Toxicology and Medical Countermeasures, Beijing 100850, China
| | - Jiangbei Yuan
- 3Educational Ministry Key Laboratory of Resource Biology and Biotechnology in Western China, Life Sciences College, Northwest University, Xi'an 710069, China
| | - Zhongfu Wang
- 3Educational Ministry Key Laboratory of Resource Biology and Biotechnology in Western China, Life Sciences College, Northwest University, Xi'an 710069, China
| | - Wenxia Zhou
- 1Department of TCM and Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; 2State Key Laboratory of Toxicology and Medical Countermeasures, Beijing 100850, China
| | - Yongxiang Zhang
- 1Department of TCM and Neuroimmunopharmacology, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China; 2State Key Laboratory of Toxicology and Medical Countermeasures, Beijing 100850, China
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17
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Wang H, Chen X, Zhang X, Zhang W, Li Y, Yin H, Shao H, Chen G. Comparative Assessment of Glycosylation of a Recombinant Human FSH and a Highly Purified FSH Extracted from Human Urine. J Proteome Res 2016; 15:923-32. [DOI: 10.1021/acs.jproteome.5b00921] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Hong Wang
- Shanghai Institute for Food and Drug Control, Shanghai 201203, China
| | - Xi Chen
- Waters Corporation, Shanghai 201206, China
| | - Xiaoxi Zhang
- Thermo Fisher Scientific, Shanghai 201206, China
| | - Wei Zhang
- Thermo Fisher Scientific, Shanghai 201206, China
| | - Yan Li
- Shanghai Techwell Biopharmaceutical Corporation, Shanghai 201108, China
| | - Hongrui Yin
- Shanghai Institute for Food and Drug Control, Shanghai 201203, China
| | - Hong Shao
- Shanghai Institute for Food and Drug Control, Shanghai 201203, China
| | - Gang Chen
- Shanghai Institute for Food and Drug Control, Shanghai 201203, China
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18
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Cassoli JS, Guest PC, Santana AG, Martins-de-Souza D. Employing proteomics to unravel the molecular effects of antipsychotics and their role in schizophrenia. Proteomics Clin Appl 2016; 10:442-55. [PMID: 26679983 DOI: 10.1002/prca.201500109] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Revised: 11/15/2015] [Accepted: 12/09/2015] [Indexed: 12/20/2022]
Abstract
Schizophrenia is an incurable neuropsychiatric disorder managed mostly by treatment of the patients with antipsychotics. However, the efficacy of these drugs has remained only low to moderate despite intensive research efforts since the early 1950s when chlorpromazine, the first antipsychotic, was synthesized. In addition, antipsychotic treatment can produce often undesired severe side effects in the patients and addressing these remains a large unmet clinical need. One of the reasons for the low effectiveness of these drugs is the limited knowledge about the molecular mechanisms of schizophrenia, which impairs the development of new and more effective treatments. Recently, proteomic studies of clinical and preclinical samples have identified changes in the levels of specific proteins in response to antipsychotic treatment, which have converged on molecular pathways such as cell communication and signaling, inflammation and cellular growth, and maintenance. The findings of these studies are summarized and discussed in this review and we suggest that this provides validation of proteomics as a useful tool for mining drug mechanisms of action and potentially for pinpointing novel molecular targets that may enable development of more effective medications.
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Affiliation(s)
- Juliana S Cassoli
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Paul C Guest
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Aline G Santana
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil
| | - Daniel Martins-de-Souza
- Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, São Paulo, Brazil.,UNICAMP Neurobiology Center, Campinas, São Paulo, Brazil
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Balmaña M, Giménez E, Puerta A, Llop E, Figueras J, Fort E, Sanz-Nebot V, de Bolós C, Rizzi A, Barrabés S, de Frutos M, Peracaula R. Increased α1-3 fucosylation of α-1-acid glycoprotein (AGP) in pancreatic cancer. J Proteomics 2015; 132:144-54. [PMID: 26563517 DOI: 10.1016/j.jprot.2015.11.006] [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: 07/20/2015] [Revised: 09/29/2015] [Accepted: 11/06/2015] [Indexed: 12/18/2022]
Abstract
Pancreatic cancer (PDAC) lacks reliable diagnostic biomarkers and the search for new biomarkers represents an important challenge. Previous results looking at a small cohort of patients showed an increase in α-1-acid glycoprotein (AGP) fucosylation in advanced PDAC using N-glycan sequencing. Here, we have analysed AGP glycoforms in a larger cohort using several analytical techniques including mass spectrometry (MS), capillary zone electrophoresis (CZE) and enzyme-linked lectin assays (ELLAs) for determining AGP glycoforms which could be PDAC associated. AGP from 31 serum samples, including healthy controls (HC), chronic pancreatitis (ChrP) and PDAC patients, was purified by immunoaffinity chromatography. Stable isotope labelling of AGP released N-glycans and their analysis by zwitterionic hydrophilic interaction capillary liquid chromatography electrospray MS (μZIC-HILIC-ESI-MS) showed an increase in AGP fucosylated glycoforms in PDAC compared to ChrP and HC. By CZE-UV analysis, relative concentrations of some of the AGP isoforms were found significantly different compared to those in PDAC and HC. Finally, ELLAs using Aleuria aurantia lectin displayed a significant increase in AGP fucosylation, before and after AGP neuraminidase treatment, in advanced PDAC compared to ChrP and HC, respectively. Altogether, these results indicate that α1-3 fucosylated glycoforms of AGP are increased in PDAC and could be potentially regarded as a PDAC biomarker.
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Affiliation(s)
- Meritxell Balmaña
- Biochemistry and Molecular Biology Unit, Department of Biology, University of Girona, Girona, Spain
| | - Estela Giménez
- Department of Analytical Chemistry, University of Barcelona, Barcelona, Spain
| | - Angel Puerta
- Institute of Organic Chemistry (IQOG-CSIC), Madrid, Spain
| | - Esther Llop
- Biochemistry and Molecular Biology Unit, Department of Biology, University of Girona, Girona, Spain
| | - Joan Figueras
- Department of Surgery, Dr. Josep Trueta University Hospital, IdIBGi, Girona, Spain
| | - Esther Fort
- Department of Gastrointestinal, Dr. Josep Trueta University Hospital, Girona, Spain
| | - Victoria Sanz-Nebot
- Department of Analytical Chemistry, University of Barcelona, Barcelona, Spain
| | - Carme de Bolós
- Gastroesophagic Cancer Research Group, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Andreas Rizzi
- Department of Analytical Chemistry, University of Vienna, Vienna, Austria
| | - Sílvia Barrabés
- Biochemistry and Molecular Biology Unit, Department of Biology, University of Girona, Girona, Spain
| | | | - Rosa Peracaula
- Biochemistry and Molecular Biology Unit, Department of Biology, University of Girona, Girona, Spain.
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Jaros JA, Rahmoune H, Wesseling H, Leweke FM, Ozcan S, Guest PC, Bahn S. Effects of olanzapine on serum protein phosphorylation patterns in patients with schizophrenia. Proteomics Clin Appl 2015; 9:907-16. [PMID: 25821032 DOI: 10.1002/prca.201400148] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 01/14/2015] [Accepted: 03/10/2015] [Indexed: 12/23/2022]
Abstract
PURPOSE Previous studies have shown that blood serum phosphoproteins are altered in schizophrenia patients in comparison to controls. However, it is not known whether phosphoproteins are also changed in response to treatment with antipsychotics. EXPERIMENTAL DESIGN Blood samples were taken from patients (n = 23) at baseline and after 6 weeks of olanzapine treatment. Immobilized metal ion affinity chromatography (IMAC) was used for enrichment of serum phosphoproteins and these were analyzed by label-free LC-MS in expression mode (LC-MS(E) ). RESULTS We identified 11 proteins that were changed significantly in overall abundance and 45 proteins that showed changes in phosphorylation after the antipsychotic treatment. The altered phosphoproteins were mainly involved in the acute phase response, lipid and glucose homeostasis (LXR), retinoic acid signaling (RXR), and complement pathways. Some of the proteins showed a marked increase in phosphorylation, including apolipoprotein A-I (3.4-fold), alpha-1-anti-chymotrypsin (3.1-fold), and apolipoprotein B-100 (2.2-fold). In addition, several proteins showed either decreased phosphorylation (e.g. complement C4A, collagen alpha-1 chain, complement factor H) or a mixture of increased and decreased phoshphorylation (e.g. afamin, complement C5, complement factor B). Finally, 24 of the altered phosphoproteins showed opposite directional changes in a comparison of baseline schizophrenia patients before and after treatment with olanzapine. These included alpha-1B-glycoprotein, apolipoprotein A-IV, vitamin D-binding protein, and prothrombin. CONCLUSIONS AND CLINICAL RELEVANCE These data demonstrate the potential for future studies of serum phosphoproteins as a readout of physiological function and might have utility in studies aimed at identification of biomarkers for drug response prediction or monitoring.
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Affiliation(s)
- Julian A Jaros
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
- Novartis Institutes of Biomedical Research (NIBR), Novartis Campus, Fabrikstrasse, Basel, Switzerland
| | - Hassan Rahmoune
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Hendrik Wesseling
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - F Markus Leweke
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
- Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Sureyya Ozcan
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Paul C Guest
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
| | - Sabine Bahn
- Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK
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Tharmalingam-Jaikaran T, Walsh SW, McGettigan PA, Potter O, Struwe WB, Evans ACO, Rudd PM, Carrington SD. N-glycan profiling of bovine follicular fluid at key dominant follicle developmental stages. Reproduction 2014; 148:569-80. [DOI: 10.1530/rep-14-0035] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Follicular fluid (FF), an important microenvironment for the development of oocytes, contains many proteins that are glycosylated withN-linked glycans. This study aimed i) to present an initial analysis of theN-linked glycan profile of bovine FF using hydrophilic interaction liquid chromatography, anion exchange chromatography, high performance liquid chromatography (HPLC)-based separations and subsequent liquid chromatography–mass spectrometry/mass spectrometry analysis; ii) to determine differences in theN-glycan profile between FF from dominant and subordinate follicles from dairy heifers and lactating dairy cows and iii) to identify alterations in theN-glycan profile of FF during preovulatory follicle development using newly selected, differentiated (preovulatory) and luteinised dominant follicles from dairy heifers and lactating cows. We found that the majority of glycans on bovine FF are based on biantennary hypersialylated structures, where the glycans are sialylated on both the galactose andN-acetylglucosamine terminal sugars. A comparison of FFN-glycans from cows and heifers indicated higher levels of nonsialylated glycans with a lower proportion of sialylated glycans in cows than in heifers. Overall, as the follicle develops from Selection, Differentiation and Luteinisation in both cows and heifers, there is an overall decrease in sialylated structures on FFN-glycans.
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Farrelly LA, Dicker P, Wynne K, English J, Cagney G, Föcking M, Cotter DR. Adolescent Risperidone treatment alters protein expression associated with protein trafficking and cellular metabolism in the adult rat prefrontal cortex. Proteomics 2014; 14:1574-8. [DOI: 10.1002/pmic.201300466] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2013] [Revised: 01/24/2014] [Accepted: 03/27/2014] [Indexed: 12/19/2022]
Affiliation(s)
- Lorna A. Farrelly
- Department of Psychiatry; Royal College of Surgeons in Ireland; Education and Research Centre; Beaumont Hospital; Dublin Ireland
| | - Patrick Dicker
- Department of Epidemiology and Public Health; Royal College of Surgeons in Ireland; Dublin Ireland
| | - Kieran Wynne
- School of Biomolecular and Biomedical Research; Conway Institute; University College Dublin; Dublin Ireland
| | - Jane English
- Department of Psychiatry; Royal College of Surgeons in Ireland; Education and Research Centre; Beaumont Hospital; Dublin Ireland
| | - Gerard Cagney
- School of Biomolecular and Biomedical Research; Conway Institute; University College Dublin; Dublin Ireland
| | - Melanie Föcking
- Department of Psychiatry; Royal College of Surgeons in Ireland; Education and Research Centre; Beaumont Hospital; Dublin Ireland
| | - David R. Cotter
- Department of Psychiatry; Royal College of Surgeons in Ireland; Education and Research Centre; Beaumont Hospital; Dublin Ireland
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Mueller TM, Haroutunian V, Meador-Woodruff JH. N-Glycosylation of GABAA receptor subunits is altered in Schizophrenia. Neuropsychopharmacology 2014; 39:528-37. [PMID: 23917429 PMCID: PMC3895232 DOI: 10.1038/npp.2013.190] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 07/23/2013] [Accepted: 07/24/2013] [Indexed: 12/25/2022]
Abstract
The molecular mechanisms of schizophrenia have been under investigation for decades; however, the exact causes of this debilitating neuropsychiatric disorder are still unknown. Previous studies have identified multiple affected neurotransmitter systems, brain regions, and cell types, each making a unique contribution to symptom presentation and pathophysiology. Numerous studies have identified gene and protein expression changes in schizophrenia, but the role of post-translational modifications, specifically N-glycosylation, has only recently become a target of investigation. N-glycosylation of molecules associated with glutamatergic neurotransmission is disrupted in schizophrenia, but it was unknown if these alterations are exclusive to the glutamatergic system or due to a more generalized deficit.In normal human cortex, we found evidence for N-glycosylation of the α1, β1, and β2 γ-aminobutyric type A receptor (GABAAR) subunits using deglycosylation protein shift assays. This was confirmed with lectin affinity assays that revealed glycan attachment on the α1, α4, and β1-3 GABAAR subunits. Examining GABAAR subunit N-glycosylation in matched pairs of schizophrenia (N=14) and comparison (N=14) of superior temporal gyrus revealed a smaller molecular mass of immature N-glycans on the α1 subunit, more immature N-glycosylation of the 49-kDa β1 subunit isoform, and altered total N-glycosylation of the β2 GABAAR subunit in schizophrenia. Measures of altered N-glycosylation of the β1 and β2 subunits were confounded by an increased apparent molecular mass of all β1 and β2 subunit isoforms in schizophrenia. Although N-glycosylation of α1, β1, and β2 were all changed in schizophrenia, the concentrations of GABAAR subunits themselves were unchanged. These findings suggest that disruptions of N-glycosylation in schizophrenia are not exclusive to glutamate and may indicate a potential disruption of a central cell signaling process in this disorder.
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Affiliation(s)
- Toni Marie Mueller
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA,Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, 1719 6th Avenue South, CIRC 589A, Birmingham, AL 35294 0021, USA, Tel: +1 205 996 6170, Fax: +1 205 975 4879, E-mail:
| | - Vahram Haroutunian
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
| | - James H Meador-Woodruff
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama at Birmingham, Birmingham, AL, USA
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Jung K, Cho W. Serial Affinity Chromatography as a Selection Tool in Glycoproteomics. Anal Chem 2013; 85:7125-32. [DOI: 10.1021/ac400653z] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Kwanyoung Jung
- Department of Chemistry, Seoul Science High School, 63 Hyehwa-ro, Jongno-gu,
Seoul 110-530, Republic of Korea
| | - Wonryeon Cho
- Department of Chemistry, Wonkwang University, 460 Iksandae-ro, Iksan, Jeonbuk
570-749, Republic of Korea
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Lazar IM, Lee W, Lazar AC. Glycoproteomics on the rise: established methods, advanced techniques, sophisticated biological applications. Electrophoresis 2012; 34:113-25. [PMID: 23161435 DOI: 10.1002/elps.201200445] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2012] [Revised: 10/07/2012] [Accepted: 10/07/2012] [Indexed: 02/05/2023]
Abstract
Glycosylation is the most complex form of protein PTMs. Affected proteins may carry dozens of glycosylation sites with tens to hundreds of glycan residues attached to every site. Glycosylated proteins have many important functions in biology, from cellular to organismal levels, being involved in cell-cell signaling, cell adhesion, immune response, host-pathogen interactions, and development and growth. Glycosylation, however, expands the biological functional diversity of proteins at the expense of a tremendous increase in structural heterogeneity. Aberrant glycosylation of cell surface proteins, as well as their detectable fingerprint in plasma samples, has been associated with cancer, inflammatory and degenerative diseases, and congenital disorders of glycosylation. Therefore, there are on-going efforts directed toward developing new technologies and approaches for glycan sequencing and high-throughput analysis of glycosylated proteins in complex samples with simultaneous characterization of both the protein and glycan moieties. This work is aimed primarily at pinpointing the challenges associated with the large-scale analysis of glycoproteins and the latest developments in glycoproteomic research, with focus on recent advancements (2011-2012) in microcolumn separations and MS detection.
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Affiliation(s)
- Iulia M Lazar
- Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA.
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Tharmalingam T, Adamczyk B, Doherty MA, Royle L, Rudd PM. Strategies for the profiling, characterisation and detailed structural analysis of N-linked oligosaccharides. Glycoconj J 2012; 30:137-46. [PMID: 22922975 DOI: 10.1007/s10719-012-9443-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2012] [Revised: 08/09/2012] [Accepted: 08/13/2012] [Indexed: 12/25/2022]
Abstract
Many post-translational modifications, including glycosylation, are pivotal for the structural integrity, location and functional activity of glycoproteins. Sub-populations of proteins that are relocated or functionally changed by such modifications can change resting proteins into active ones, mediating specific effector functions, as in the case of monoclonal antibodies. To ensure safe and efficacious drugs it is essential to employ appropriate robust, quantitative analytical strategies that can (i) perform detailed glycan structural analysis, (ii) characterise specific subsets of glycans to assess known critical features of therapeutic activities (iii) rapidly profile glycan pools for at-line monitoring or high level batch to batch screening. Here we focus on these aspects of glycan analysis, showing how state-of-the-art technologies are required at all stages during the production of recombinant glycotherapeutics. These data can provide insights into processing pathways and suggest markers for intervention at critical control points in bioprocessing and also critical decision points in disease and drug monitoring in patients. Importantly, these tools are now enabling the first glycome/genome studies in large populations, allowing the integration of glycomics into other 'omics platforms in a systems biology context.
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Affiliation(s)
- Tharmala Tharmalingam
- NIBRT Glycobiology Laboratory, NIBRT - The National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co Dublin, Ireland
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