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Chen P, Wang D, Xiu M, Chen D, Lackey B, Wu HE, Wang L, Zhang X. Association of Transferrin Gene Polymorphism with Cognitive Deficits and Psychiatric Symptoms in Patients with Chronic Schizophrenia. J Clin Med 2022; 11:jcm11216414. [PMID: 36362642 PMCID: PMC9654946 DOI: 10.3390/jcm11216414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022] Open
Abstract
A large amount of recent literature has focused on impaired iron homeostasis in the pathophysiology of schizophrenia. Specifically, microarray analysis has illustrated associations between the transferrin locus and schizophrenia. To elaborate on the effects of transferrin on schizophrenia and its psychiatric phenotypes, our study aimed to investigate whether transferrin gene polymorphism was correlated with cognitive deficits and clinical symptoms in schizophrenia. We recruited 564 patients with chronic schizophrenia and 422 healthy controls (HCs) in a Han Chinese population, collected phenotypic data, and genotyped the rs3811655 polymorphism of the transferrin gene. Our results showed that the rs3811655 polymorphism was related to cognitive performance in both patients and HCs, as well as negative symptoms in patients (all p < 0.05), and patients carrying at least one G-allele showed worsened cognition/severe negative symptoms (all p < 0.05). Further analyses also found that the rs3811655 polymorphism in combination with cognition may exert small but significant contributions to the negative (β = −0.10, t = −2.48, p < 0.05) or total psychiatric symptoms (β = −0.08, t = −1.92, p < 0.05) in patients. Our findings indicated that the rs3811655 polymorphism may be implicated in the cognitive deficits of schizophrenia and HCs as well as psychiatric symptoms in patients, which suggested the possible iron regulatory mechanism in the pathology of schizophrenia.
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Affiliation(s)
- Pinhong Chen
- Beijing Institute of Basic Medical Sciences, Beijing 100850, China
| | - Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Meihong Xiu
- Beijing Huilongguan Hospital, Peking University, Beijing 100871, China
| | - Dachun Chen
- Beijing Huilongguan Hospital, Peking University, Beijing 100871, China
| | - Blake Lackey
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Hanjing E. Wu
- Department of Psychiatry and Behavioral Sciences, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Lubin Wang
- Beijing Institute of Basic Medical Sciences, Beijing 100850, China
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China
- Correspondence:
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Chen P, Wang D, Xiu M, Chen D, Lackey B, Wu HE, Zhou J, Zhang X. Polymorphism of Transferrin Gene Impacts the Mediating Effects of Psychotic Symptoms on the Relationship between Oxidative Stress and Cognition in Patients with Chronic Schizophrenia. Antioxidants (Basel) 2022; 11:antiox11010125. [PMID: 35052629 PMCID: PMC8772796 DOI: 10.3390/antiox11010125] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 12/26/2021] [Accepted: 12/28/2021] [Indexed: 02/02/2023] Open
Abstract
A series of studies indicated that iron distribution that partly derives from transferrin-bound iron in the peripheral nervous system in the brain may act in processes such as myelination and brain development. However, the relationship between schizophrenia, its psychotic symptoms, and the transferrin (TF) gene has not been systematically explored. Our study aimed to investigate how a particular polymorphism of the transferrin gene, rs3811655, affects the superoxide dismutase (SOD), malondialdehyde (MDA), psychotic symptoms, cognition, or the mediation model between antioxidant enzymes and cognition via symptoms. A total of 564 patients with chronic schizophrenia and 468 healthy control subjects were recruited. The psychotic symptoms and cognition were assessed by the Positive and Negative Syndrome Scale (PANSS) and the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), respectively. Furthermore, the serum SOD, MDA activity, and transferrin gene polymorphism were measured in patients. Our results demonstrated that patients with the G allele possessed more severe negative symptoms, worse cognitive performance with respect to attention, and higher serum Mn-SOD activity. Additionally, the rs3811655 polymorphism may act as a moderator in the association between Cu/Zn-SOD activity and cognition, as well as psychotic symptoms in patients suffering from schizophrenia. According to this study, the single nucleotide polymorphism (SNP) rs3811655 polymorphism may fail to contribute to the susceptibility of schizophrenia in an individual but is involved in the iron-induced oxidative stress disturbance and cognitive impairment in schizophrenia. This deepens our understanding of the critical role of iron-induced oxidative stress that might underlie the pathophysiology of schizophrenia.
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Affiliation(s)
- Pinhong Chen
- Beijing Institute of Basic Medical Sciences, Beijing 100850, China;
| | - Dongmei Wang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China;
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China
| | - Meihong Xiu
- Beijing HuiLongGuan Hospital, Peking University, Beijing 100096, China; (M.X.); (D.C.)
| | - Dachun Chen
- Beijing HuiLongGuan Hospital, Peking University, Beijing 100096, China; (M.X.); (D.C.)
| | - Blake Lackey
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (B.L.); (H.E.W.)
| | - Hanjing E. Wu
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; (B.L.); (H.E.W.)
| | - Jin Zhou
- Beijing Institute of Basic Medical Sciences, Beijing 100850, China;
- Correspondence: (J.Z.); (X.Z.)
| | - Xiangyang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Beijing 100101, China;
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100101, China
- Correspondence: (J.Z.); (X.Z.)
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Jia X, Yang Y, Chen Y, Cheng Z, Du Y, Xia Z, Zhang W, Xu C, Zhang Q, Xia X, Deng H, Shi X. Multivariate analysis of genome-wide data to identify potential pleiotropic genes for five major psychiatric disorders using MetaCCA. J Affect Disord 2019; 242:234-243. [PMID: 30212762 PMCID: PMC6343670 DOI: 10.1016/j.jad.2018.07.046] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 06/06/2018] [Accepted: 07/16/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Genome-wide association studies have been extensively applied in identifying SNP associated with major psychiatric disorders. However, the SNPs identified by the prevailing univariate approach only explain a small percentage of the genetic variance of traits, and the extensive data have shown the major psychiatric disorders have common biological mechanisms and the overlapping pathophysiological pathways. METHODS We applied the genetic pleiotropy-informed metaCCA method on summary statistics data from the Psychiatric Genomics Consortium Cross-Disorder Group to examine the overlapping genetic relations between the five major psychiatric disorders. Furthermore, to refine all genes, we performed gene-based association analyses for the five disorders respectively using VEGAS2. Gene enrichment analysis was applied to explore the potential functional significance of the identified genes. RESULTS After metaCCA analysis, 1147 SNPs reached the Bonferroni corrected threshold (p < 1.06 × 10-6) in the univariate SNP-multivariate phenotype analysis, and 246 genes with a significance threshold (p < 3.85 × 10-6) were identified as potentially pleiotropic genes in the multivariate SNP-multivariate phenotype analysis. By screening the results of gene-based p-values, we identified 37 putative pleiotropic genes which achieved significance threshold in metaCCA analyses and were also associated with at least one disorder in the VEGAS2 analyses. LIMITATIONS Alternative approaches and experimental studies may be applied to check whether novel genes could still be identified/substantiated with these methods. CONCLUSIONS The metaCCA method identified novel variants associated with psychiatric disorders by effectively incorporating information from different GWAS datasets. Our analyses may provide insights for some common therapeutic approaches of these five major psychiatric disorders based on the pleiotropic genes and common mechanisms identified.
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Affiliation(s)
- XiaoCan Jia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - YongLi Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - YuanCheng Chen
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guang Zhou, Guangdong, China
| | - ZhiWei Cheng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuhui Du
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenhua Xia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Weiping Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Chao Xu
- Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Qiang Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xin Xia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - HongWen Deng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
| | - XueZhong Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Yoo G, Kim J, Yoon KJ, Lee JH. The characteristics of transferrin variants by carbohydrate-deficient transferrin tests using capillary zone electrophoresis. J Clin Lab Anal 2018; 32:e22451. [DOI: 10.1002/jcla.22451] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 03/23/2018] [Indexed: 11/08/2022] Open
Affiliation(s)
- Gilsung Yoo
- Departments of Laboratory Medicine; Yonsei University Wonju College of Medicine; Wonju Korea
| | - Juwon Kim
- Departments of Laboratory Medicine; Yonsei University Wonju College of Medicine; Wonju Korea
| | - Kap Joon Yoon
- Departments of Laboratory Medicine; Yonsei University Wonju College of Medicine; Wonju Korea
| | - Jong-Han Lee
- Departments of Laboratory Medicine; Yonsei University Wonju College of Medicine; Wonju Korea
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Alelú-Paz R, Carmona FJ, Sanchez-Mut JV, Cariaga-Martínez A, González-Corpas A, Ashour N, Orea MJ, Escanilla A, Monje A, Guerrero Márquez C, Saiz-Ruiz J, Esteller M, Ropero S. Epigenetics in Schizophrenia: A Pilot Study of Global DNA Methylation in Different Brain Regions Associated with Higher Cognitive Functions. Front Psychol 2016; 7:1496. [PMID: 27746755 PMCID: PMC5044511 DOI: 10.3389/fpsyg.2016.01496] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2016] [Accepted: 09/20/2016] [Indexed: 12/29/2022] Open
Abstract
Attempts to discover genes that are involved in the pathogenesis of major psychiatric disorders have been frustrating and often fruitless. Concern is building about the need to understand the complex ways in which nature and nurture interact to produce mental illness. We analyze the epigenome in several brain regions from schizophrenic patients with severe cognitive impairment using high-resolution (450K) DNA methylation array. We identified 139 differentially methylated CpG sites included in known and novel candidate genes sequences as well as in and intergenic sequences which functions remain unknown. We found that altered DNA methylation is not restricted to a particular region, but includes others such as CpG shelves and gene bodies, indicating the presence of different DNA methylation signatures depending on the brain area analyzed. Our findings suggest that epimutations are not relatables between different tissues or even between tissues' regions, highlighting the need to adequately study brain samples to obtain reliable data concerning the epigenetics of schizophrenia.
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Affiliation(s)
- Raúl Alelú-Paz
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine, University of AlcaláMadrid, Spain; Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, University of AlcaláMadrid, Spain; Department of Psychiatry, CIBERSAM, IRYCIS, Hospital Ramón y CajalMadrid, Spain
| | - Francisco J Carmona
- Cancer Epigenetics and Biology Program, Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat Barcelona, Spain
| | - José V Sanchez-Mut
- Cancer Epigenetics and Biology Program, Bellvitge Biomedical Research Institute, L'Hospitalet de Llobregat Barcelona, Spain
| | - Ariel Cariaga-Martínez
- Laboratory for Neuroscience of Mental Disorders Elena Pessino, Department of Medicine and Medical Specialties, School of Medicine, University of Alcalá Madrid, Spain
| | - Ana González-Corpas
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine, University of Alcalá Madrid, Spain
| | - Nadia Ashour
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine, University of Alcalá Madrid, Spain
| | - Maria J Orea
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine, University of Alcalá Madrid, Spain
| | - Ana Escanilla
- Neurological Brain Bank, Parc Sanitari Sant Joan de Déu Barcelona, Spain
| | - Alfonso Monje
- Neurological Brain Bank, Parc Sanitari Sant Joan de Déu Barcelona, Spain
| | | | - Jerónimo Saiz-Ruiz
- Department of Psychiatry, CIBERSAM, IRYCIS, Hospital Ramón y Cajal Madrid, Spain
| | - Manel Esteller
- Cancer Epigenetics and Biology Program, Bellvitge Biomedical Research Institute, L'Hospitalet de LlobregatBarcelona, Spain; Institució Catalana de Recerca i Estudis AvançatsBarcelona, Spain; Department of Physiological Sciences II, School of Medicine, University of BarcelonaBarcelona, Spain
| | - Santiago Ropero
- Biochemistry and Molecular Biology Unit, Department of Systems Biology, School of Medicine, University of Alcalá Madrid, Spain
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Current world literature. Curr Opin Psychiatry 2013; 26:231-6. [PMID: 23364282 DOI: 10.1097/yco.0b013e32835dd9de] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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