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Dai W, Liu J, Qiu Y, Teng Z, Li S, Huang J, Xiang H, Tang H, Wang B, Chen J, Wu H. Shared postulations between bipolar disorder and polycystic ovary syndrome pathologies. Prog Neuropsychopharmacol Biol Psychiatry 2022; 115:110498. [PMID: 34929323 DOI: 10.1016/j.pnpbp.2021.110498] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 12/06/2021] [Accepted: 12/12/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Women with bipolar disorder (BD) present a high prevalence of polycystic ovary syndrome (PCOS) and other reproductive disorders even before diagnosis or treatment of the disease. Postulations on the potential molecular mechanisms of comorbid PCOS in women with BD remain limited to influence of medications and need further extension. OBJECTIVES This review focuses on evidence suggesting that common metabolic and immune disorders may play an important role in the development of BD and PCOS. RESULTS The literature covered in this review suggests that metabolic and immune disorders, including the dysfunction of the hypothalamic-pituitary-adrenal axis, chronic inflammatory state, gut microbial alterations, adipokine alterations and circadian rhythm disturbance, are observed in patients with BD and PCOS. Such disorders may be responsible for the increased prevalence of PCOS in the BD population and indicate a susceptibility gene overlap between the two diseases. Current evidence supports postulations of common metabolic and immune disorders as endophenotype in BD as well as in PCOS. CONCLUSIONS Metabolic and immune disorders may be responsible for the comorbid PCOS in the BD population. The identification of hallmark metabolic and immune features common to these two diseases will contribute to the clarification of the effect of BD on the reproductive endocrine function and development of symptomatic treatments targeting the biomarkers of the two diseases.
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Affiliation(s)
- Wenyu Dai
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jieyu Liu
- Department of Ultrasound Diagnostic, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Yan Qiu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Ziwei Teng
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Sujuan Li
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jing Huang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Xiang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Hui Tang
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Bolun Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Jindong Chen
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Haishan Wu
- National Clinical Research Center for Mental Disorders, Department of Psychiatry, China National Technology Institute on Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
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Köhler-Forsberg O, Sylvia LG, Ruberto VL, Kuperberg M, Shannon AP, Fung V, Overhage L, Calabrese JR, Thase M, Bowden CL, Shelton RC, McInnis M, Deckersbach T, Tohen M, Kocsis JH, Ketter TA, Friedman ES, Iosifescu DV, McElroy S, Ostacher MJ, Nierenberg AA. Familial severe psychiatric history in bipolar disorder and correlation with disease severity and treatment response. J Affect Disord 2020; 273:131-137. [PMID: 32421593 DOI: 10.1016/j.jad.2020.03.157] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 02/16/2020] [Accepted: 03/29/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND Bipolar disorder is a heritable disorder, and we aimed to assess the impact of family history of mental disorders in first-degree relatives on the severity and course of bipolar disorder. METHODS The Bipolar CHOICE (lithium versus quetiapine) and LiTMUS (optimized treatment with versus without lithium) comparative effectiveness studies were similar trials among bipolar disorder outpatients studying four different randomized treatment arms for 24 weeks. Patients self-reported on six severe mental disorders among first-degree relatives. We performed ANOVA and linear regression regarding disease severity measures, sociodemographic and cardiometabolic markers and mixed effects linear regression to evaluate treatment response. RESULTS Among 757 patients, 644 (85.1%) reported at least one first-degree relative with a severe mental disorder (mean=2.8; standard deviation=2.2; range=0-13). Depression (67.1%), alcohol abuse (51.0%) and bipolar disorder (47.0%) were the most frequently reported disorders. Familial psychiatric history correlated with several disease severity measures (hospitalizations, suicide attempts, and earlier onset) and sociodemographic markers (lower education and household income) but not with cardiometabolic markers (e.g. cholesterol or waist circumference) or cardiovascular risk scores, e.g. the Framingham risk score. Patients with familial psychiatric history tended to require more psychopharmacological treatment (p=0.054) but responded similarly (all p>0.1) to all four treatment arms. CONCLUSIONS Our findings indicate that familial psychiatric history is common among outpatients with bipolar disorder and correlates with disease severity and sociodemographic measures. Patients with a greater familial psychiatric load required more intense treatment but achieved similar treatment responses compared to patients without familial psychiatric history.
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Affiliation(s)
- Ole Köhler-Forsberg
- Psychosis Research Unit, Aarhus University Hospital Psychiatry, Denmark; Department of Clinical Medicin, Aarhus University, Aarhus, Denmark; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Louisa G Sylvia
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Valerie L Ruberto
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Maya Kuperberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Alec P Shannon
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Vicki Fung
- Mongan Institute, Massachusetts General Hospital; Department of Medicine, Harvard Medical School
| | | | - Joseph R Calabrese
- Department of Psychiatry, Case Western Reserve University, Cleveland, OH, USA
| | - Michael Thase
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Charles L Bowden
- Department of Psychiatry, University of Texas Health Science Center, San Antonio, TX, USA
| | - Richard C Shelton
- Department of Psychiatry, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Thilo Deckersbach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Mauricio Tohen
- Department of Psychiatry, University of New Mexico Health Science Center, Albuquerque, NM, USA
| | - James H Kocsis
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Terence A Ketter
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, USA
| | - Edward S Friedman
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Dan V Iosifescu
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Susan McElroy
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati College of Medicine, Cincinnati, OH and Lindner Center of HOPE, Mason, OH, USA
| | - Michael J Ostacher
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew A Nierenberg
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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3
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Kidnapillai S, Bortolasci CC, Panizzutti B, Spolding B, Connor T, Bonifacio K, Sanigorski A, Dean OM, Crowley T, Jamain S, Gray L, Leboyer M, Berk M, Walder K. Drugs used in the treatment of bipolar disorder and their effects on cholesterol biosynthesis - A possible therapeutic mechanism. World J Biol Psychiatry 2019; 20:766-777. [PMID: 31535581 DOI: 10.1080/15622975.2019.1669823] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objectives: To understand the therapeutic mechanisms of bipolar disorder (BD) drugs at molecular and cellular levels.Methods: Next generation sequencing was used to determine the transcriptional effects of a combination of four commonly prescribed BD drugs (lithium, valproate, lamotrigine and quetiapine) or vehicle (0.2% DMSO) in NT2-N (human neuronal) cells and rats. Differential expression of genes and pathway analysis were performed using edgeR in R and Gene Set Enrichment Analysis software respectively. Free cholesterol levels and neurite outgrowth were quantified in NT2-N cells following combination and individual BD drug treatments.Results: Pathway analysis showed up-regulation of many elements of the cholesterol biosynthesis pathway in NT2-N cells and oxidative phosphorylation in rat brains. Intracellular cholesterol transport genes were upregulated (NPC1, NPC2 and APOE), while the cholesterol efflux gene (ABCA1) was downregulated. BD drug combination tended to increase intracellular cholesterol levels and neurite outgrowth, but these effects were not seen for the drugs when used individually.Conclusions: These data suggest that BD drug combination is increasing cholesterol biosynthesis and the newly synthesised cholesterol is being utilised within the cells, possibly for synthesis of new membranes to facilitate neurite outgrowth. This mechanism possibly underpins clinical efficacy in individuals with BD treated with polypharmacy.
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Affiliation(s)
- Srisaiyini Kidnapillai
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Chiara C Bortolasci
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Bruna Panizzutti
- Laboratory of Molecular Psychiatry, Hospital de Clínicas de Porto Alegre (HCPA) and Programa de Pós-graduação em Psiquiatria e Ciências do Comportamento, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
| | - Briana Spolding
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Timothy Connor
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Kamila Bonifacio
- Laboratory of Graduation Research, State University of Londrina, Londrina, Brazil
| | - Andrew Sanigorski
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
| | - Olivia M Dean
- The Florey Institute of Neuroscience and Mental Health, Parkville, Australia.,IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia
| | - Tamsyn Crowley
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia.,Bioinformatics Core Research Facility (BCRF), Deakin University, Geelong, Australia
| | - Stéphane Jamain
- INSERM U955, Psychiatrie Translationnelle, Université Paris Est, Créteil, France
| | - Laura Gray
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia.,The Florey Institute of Neuroscience and Mental Health, Parkville, Australia
| | - Marion Leboyer
- INSERM U955, Psychiatrie Translationnelle, Université Paris Est, Créteil, France
| | - Michael Berk
- The Florey Institute of Neuroscience and Mental Health, Parkville, Australia.,IMPACT Strategic Research Centre, School of Medicine, Barwon Health, Deakin University, Geelong, Australia.,Orygen, The National Centre of Excellence in Youth Mental Health, Australia Parkville.,Department of Psychiatry, The University of Melbourne, Parkville, Australia
| | - Ken Walder
- Centre for Molecular and Medical Research, School of Medicine, Deakin University, Geelong, Australia
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Tsao WY, Hsu JW, Huang KL, Bai YM, Su TP, Li CT, Tsai SJ, Lin WC, Chen TJ, Pan TL, Chen MH. Risk of cardiometabolic diseases among siblings of patients with bipolar disorder. J Affect Disord 2019; 253:171-175. [PMID: 31035218 DOI: 10.1016/j.jad.2019.04.094] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 04/16/2019] [Accepted: 04/21/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND Cardiometabolic diseases are suggested to be associated with bipolar disorder. However, the risk of metabolic disorders in unaffected siblings of patients with bipolar disorder remains unclear. METHODS From the Taiwan National Health Insurance Research Database, 7,225 unaffected siblings of bipolar probands and 28,900 age-/sex-/income-/residence-matched control individuals were included and followed until the end of 2011. Individuals who developed metabolic disorders during the follow-up period were identified. RESULTS The unaffected siblings of bipolar probands had a higher prevalence of dyslipidemia (5.4% vs. 4.5%, p = 0.001), younger age at diagnosis of type 2 diabetes mellitus (34.81 vs. 37.22, p = 0.024), and higher prevalence of any stroke (1.5% vs. 1.1%, p = 0.007) than the controls. Moreover, only male siblings of bipolar probands had an increased risk of dyslipidemia (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.10-1.48) and higher rates of any stroke (OR: 1.38, 95% CI: 1.02-1.85) and ischemic stroke (OR: 2.43, 95% CI: 1.60-3.70) during the follow-up compared with the controls. DISCUSSION Unaffected siblings of bipolar patients, particularly brothers, had a higher prevalence of dyslipidemia and ischemic stroke compared with the controls. The result suggests the familial association between cardiometabolic diseases and bipolar disorder. Further research may be necessary to identify this shared etiology between the disorders.
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Affiliation(s)
- Wen-Yen Tsao
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ju-Wei Hsu
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Kai-Lin Huang
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tung-Ping Su
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
| | - Cheng-Ta Li
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Shih-Jen Tsai
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Chen Lin
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Tzeng-Ji Chen
- Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan
| | - Tai-Long Pan
- School of Traditional Chinese Medicine, Chang Gung University, Taoyuan, Taiwan; Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan; Liver Research Center, Division of Hepatology, Department of Gastroenterology and Hepatology, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
| | - Mu-Hong Chen
- Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan; Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan.
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5
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Toma S, Fiksenbaum L, Omrin D, Goldstein BI. Elevated Familial Cardiovascular Burden Among Adolescents With Familial Bipolar Disorder. Front Psychiatry 2019; 10:8. [PMID: 30761021 PMCID: PMC6361809 DOI: 10.3389/fpsyt.2019.00008] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Accepted: 01/08/2019] [Indexed: 02/01/2023] Open
Abstract
Background: Bipolar disorder (BD) is one of the most heritable medical conditions, and certain phenotypic characteristics are especially familial in BD. BD is also strongly associated with elevated and premature cardiovascular disease (CVD) morbidity and mortality. Thus, far, little is known regarding the familiality of cardiovascular risk in BD. We therefore examined the extent of CVD-related conditions among relatives of: adolescents with BD with a family history of BD (familial BD), adolescents with BD without a family history of BD (non-familial BD) and healthy controls (HC). Materials and Methods: The sample included 372 adolescents; 75 with familial BD, 96 with non-familial BD, and 201 HC. Parents of the adolescents completed the CARDIA Family Medical History interview regarding the adolescents' first- and second- degree adult relatives. We computed a "cardiovascular risk score" (CRS) for each relative, based on the sum of the presence of diabetes, hypertension, obesity, dyslipidemia, stroke, angina, and myocardial infarction (range 0-7). Primary analyses examined for group differences in mean overall CRS scores among first and second- degree relatives combined, controlling for age, sex, and race. Secondary analyses examined first- and second-degree relatives separately, controlling for age, sex, and race. Results: There were significant between-group differences in CRS in first- and second- degree relatives combined, following the hypothesized ordering: CRS was highest among adolescents with familial BD (1.14 ± 0.78), intermediate among adolescents with non-familial BD (0.92 ± 0.79) and lowest in HC (0.76 ± 0.79; F = 6.23, df = 2, p = 0.002, ηp 2 = 0.03). There was a significant pairwise difference between adolescents with familial BD and HC (p = 0.002, Cohen's d = 0.49). A similar pattern of between-group differences was identified when first-degree and second-degree relatives were examined separately. Limitations: familial cardiovascular burden was determined based on parent interview, not evaluated directly. Conclusions: Adolescents with BD with a family history of BD have elevated rates of CVD-related conditions among their relatives. This may be related to genetic overlap between BD and CVD-related conditions, shared environmental factors that contribute to both BD and CVD-related conditions, or a combination of these factors. More research is warranted to better understand the interaction between familial risk for BD and CVD, and to address this risk using family-wide preventive approaches.
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Affiliation(s)
- Simina Toma
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Lisa Fiksenbaum
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Danielle Omrin
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Benjamin I. Goldstein
- Centre for Youth Bipolar Disorder, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- Department of Pharmacology, University of Toronto, Toronto, ON, Canada
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6
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Karimi I, Motamedi S, Ranjbar F. A high-fat diet induced NMRI mouse model of metabolic syndrome: focus on brain-derived neurotrophic factor (BDNF). Metab Brain Dis 2018; 33:1635-1640. [PMID: 29938316 DOI: 10.1007/s11011-018-0271-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2017] [Accepted: 06/19/2018] [Indexed: 12/01/2022]
Abstract
The association of brain-derived neurotrophic factor (BDNF) as a member of neurotrophin family and metabolic syndrome (MetS) has been proposed, however basic evidence necessary to prove (or disprove) this association in non-genetic animal model is rare. Therefore, we investigated the alteration of encephalic BDNF gene expression in a mouse model of high-fat diet (HFD) induced MetS. To translate MetS, male NMRI mice (9 weeks old; N = 13) fed on a HFD including suet powder (37.50%) and granulated sugar (19.85%) while control mice were fed a diet contained suet powder (6.25%) and granulated sugar (49.09%). We monitored the development of MetS by measuring fasting blood sugar (FBS) and lipid (total cholesterol (TC) and triacylglycerol (TGs)) and lipoprotein (high-density lipoprotein cholesterol (HDL-C), very low-density lipoprotein cholesterol (VLDL-C)) profiles, atherogenic index (AI), and somatic indices after 1 and 3 months of dietary interventions. The HFD intake led to increased body weight, liver weight, FBS, TC, and decreased HDL-C as compared to chow diet in mice after first month of dietary intervention. The increased FBS, body weight, abdominal fat mass, TGs, TC, and VLDL-C and decreased HDL-C were observed in HFD-fed mice as compared to those of chow-fed mice at 3th month. The statistical comparison of two HFD groups in two time intervals of 1st and 3th month confirmed that our HFD-induced MetS model was reliable because FBS, TGs and VLDL-C, TC, and AI have been increased significantly during selected time intervals. The AI increased significantly in HFD-fed mice compared to chow-fed mice after 3 months. The AI in HFD-fed mice treated with HFD for 3 months was increased significantly as compared to mice fed HFD for 1 month. Our diet-induced model more closely mimics the changes observed in human MetS and showed that encephalic BDNF gene in mice fed HFD was under-expressed by 0.30 fold with respect to chow-fed mice after 3 months of dietary intervention.
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Affiliation(s)
- Isaac Karimi
- Laboratory of Molecular and Cellular Biology 1214, Department of Basic Veterinary Sciences, School of Veterinary Medicine, Razi University, Kermanshah, Islamic Republic of Iran.
- Department of Biology, Faculty of Science, Razi University, Kermanshah, 67149-67346, Islamic Republic of Iran.
| | - Shima Motamedi
- Laboratory of Molecular and Cellular Biology 1214, Department of Basic Veterinary Sciences, School of Veterinary Medicine, Razi University, Kermanshah, Islamic Republic of Iran
| | - Fatemeh Ranjbar
- Laboratory of Molecular and Cellular Biology 1214, Department of Basic Veterinary Sciences, School of Veterinary Medicine, Razi University, Kermanshah, Islamic Republic of Iran
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7
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de Melo LGP, Nunes SOV, Anderson G, Vargas HO, Barbosa DS, Galecki P, Carvalho AF, Maes M. Shared metabolic and immune-inflammatory, oxidative and nitrosative stress pathways in the metabolic syndrome and mood disorders. Prog Neuropsychopharmacol Biol Psychiatry 2017; 78:34-50. [PMID: 28438472 DOI: 10.1016/j.pnpbp.2017.04.027] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2017] [Revised: 03/27/2017] [Accepted: 04/08/2017] [Indexed: 02/08/2023]
Abstract
This review examines the shared immune-inflammatory, oxidative and nitrosative stress (IO&NS) and metabolic pathways underpinning metabolic syndrome (MetS), bipolar disorder (BD) and major depressive disorder (MDD). Shared pathways in both MetS and mood disorders are low grade inflammation, including increased levels of pro-inflammatory cytokines and acute phase proteins, increased lipid peroxidation with formation of malondialdehyde and oxidized low density lipoprotein cholesterol (LDL-c), hypernitrosylation, lowered levels of antioxidants, most importantly zinc and paraoxonase (PON1), increased bacterial translocation (leaky gut), increased atherogenic index of plasma and Castelli risk indices; and reduced levels of high-density lipoprotein (HDL-c) cholesterol. Insulin resistance is probably not a major factor associated with mood disorders. Given the high levels of IO&NS and metabolic dysregulation in BD and MDD and the high comorbidity with the atherogenic components of the MetS, mood disorders should be viewed as systemic neuro-IO&NS-metabolic disorders. The IO&NS-metabolic biomarkers may have prognostic value and may contribute to the development of novel treatments targeting neuro-immune, neuro-oxidative and neuro-nitrosative pathways.
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Affiliation(s)
- Luiz Gustavo Piccoli de Melo
- Department of Clinical Medicine, Londrina State University (UEL), Health Sciences Centre, Londrina, Paraná, Brazil; Center of Approach and Treatment for Smokers, University Hospital, Londrina State University, University Campus, Londrina, Paraná, Brazil; Health Sciences Graduation Program, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil
| | - Sandra Odebrecht Vargas Nunes
- Department of Clinical Medicine, Londrina State University (UEL), Health Sciences Centre, Londrina, Paraná, Brazil; Center of Approach and Treatment for Smokers, University Hospital, Londrina State University, University Campus, Londrina, Paraná, Brazil; Health Sciences Graduation Program, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil
| | | | - Heber Odebrecht Vargas
- Department of Clinical Medicine, Londrina State University (UEL), Health Sciences Centre, Londrina, Paraná, Brazil; Center of Approach and Treatment for Smokers, University Hospital, Londrina State University, University Campus, Londrina, Paraná, Brazil; Health Sciences Graduation Program, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil
| | - Décio Sabbattini Barbosa
- Health Sciences Graduation Program, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil; Department of Clinical and Toxicological Analysis, State University of Londrina, Londrina, Paraná, Brazil
| | - Piotr Galecki
- Department of Adult Psychiatry, University of Lodz, Lodz, Poland
| | - André F Carvalho
- Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Michael Maes
- Health Sciences Graduation Program, Health Sciences Center, State University of Londrina, Londrina, Paraná, Brazil; Department of Psychiatry, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Plovdiv University, Plovdiv, Bulgaria; Revitalis, Waalre, The Netherlands; Impact Strategic Research Center, Deakin University, Geelong, Australia.
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8
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Motamedi S, Karimi I, Jafari F. The interrelationship of metabolic syndrome and neurodegenerative diseases with focus on brain-derived neurotrophic factor (BDNF): Kill two birds with one stone. Metab Brain Dis 2017; 32:651-665. [PMID: 28361262 DOI: 10.1007/s11011-017-9997-0] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/20/2017] [Indexed: 02/08/2023]
Abstract
The brain-derived neurotrophic factor (BDNF) is involved in metabolic syndrome (MetS) and neurodegenerative diseases (NDD) like Alzheimer's disease, Huntington's disease, Parkinson's disease and depression. If one factor plays an essential role in the pathogenesis of two diseases, it can be concluded that there might be a common root in these two diseases, as well. This review was aimed to highlight the crucial roles of BDNF in the pathogenesis of MetS and NDD and to introduce sole prophylactic or therapeutic applications, BDNF gene therapy and BDFN administration, in controlling MetS and NDD.
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Affiliation(s)
- Shima Motamedi
- Graduate of Doctor of Veterinary Medicine, Faculty of Veterinary Medicine, Razi University, Kermanshah, Iran
| | - Isaac Karimi
- Department of Biology, Faculty of Science, Razi University, Kermanshah, Iran.
| | - Fariba Jafari
- Young Researchers and Elite Club, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
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9
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Shabana , Hasnain S. Leptin promoter variant G2548A is associated with serum leptin and HDL-C levels in a case control observational study in association with obesity in a Pakistani cohort. J Biosci 2016; 41:251-5. [PMID: 27240985 DOI: 10.1007/s12038-016-9612-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Leptin is a protein hormone synthesized by adipocytes and is involved in the regulation of food intake and energy expenditure. We hypothesized that any change in the promoter sequence can affect the expression of the gene and hence leptin protein levels in the serum. The aim of the current study was to investigate the relationship of such a promoter variant of the leptin gene, G-2548A polymorphism, with obesity and its effect on various anthropometric and metabolic parameters in a Pakistani cohort consisting of 250 obese and 225 non-obese control subjects. Body weight, height, waist circumference (WC), hip circumference (HC) and blood pressure (BP) were measured by standard methods and levels of fasting blood glucose (FBG), total cholesterol, triglycerides, HDLC, LDLC, and leptin were determined. Genotyping was done by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). The results showed that the LEP G-2548A polymorphism showed significant association with obesity in Pakistan. In addition, the polymorphism showed association with weight, height, BMI, WC, HDLC and serum leptin levels. The findings suggest that the leptin promoter G-2548A variant may play its part in the progression to obesity by not only affecting the body's fat distribution but also by changing the serum leptin and HDLC levels.
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Affiliation(s)
- - Shabana
- Department of Microbiology and Molecular Genetics, University of the Punjab, Lahore, Pakistan 54590
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10
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Pan XH, Zhu L, Yao X, Liu JF, Li ZA, Yang JY, Pang RQ, Ruan GP. Development of a tree shrew metabolic syndrome model and use of umbilical cord mesenchymal stem cell transplantation for treatment. Cytotechnology 2016; 68:2449-2467. [PMID: 27000263 DOI: 10.1007/s10616-016-9966-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 03/09/2016] [Indexed: 01/12/2023] Open
Abstract
The aim of this study was to establish a tree shrew metabolic syndrome model and demonstrate the utility of MSCs in treating metabolic syndrome. We used tree shrew umbilical cord mesenchymal stem cell (TS-UC-MSC) transplantation for the treatment of metabolic syndrome to demonstrate the clinical application of these stem cells and to provide a theoretical basis and reference methods for this treatment. Tree shrew metabolic syndrome model showed significant insulin resistance, high blood sugar, lipid metabolism disorders, and hypertension, consistent with the diagnostic criteria. TS-UC-MSC transplantation at 16 weeks significantly reduced blood sugar and lipid levels, improved insulin resistance and the regulation of insulin secretion, and reduced the expression levels of the pro-inflammatory cytokines IL-1 and IL-6 (P < 0.05). The transplanted TS-UC-MSCs targeted the liver, kidney and pancreas; reduced liver cell degeneration, necrosis, and inflammatory exudation; mitigated bleeding congestion and inflammatory cell infiltration in the kidney; and reduced islet cell degeneration and necrosis. We successfully developed a tree shrew metabolic syndrome model and showed that MSC migrate in diseased organs and can attenuate metabolic syndrome severity in a tree shrew model.
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Affiliation(s)
- Xing-Hua Pan
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Lu Zhu
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Xiang Yao
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Ju-Fen Liu
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Zi-An Li
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Jian-Yong Yang
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Rong-Qing Pang
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China.,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China.,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China
| | - Guang-Ping Ruan
- The Cell Biological Therapy Center, Kunming General Hospital of Chengdu Military Command, Kunming, 650032, China. .,Stem Cells and Immune Cells Biomedical Techniques Integrated Engineering Laboratory of State and Regions (Yunnan Province), Kunming, 650032, China. .,Cell Therapy Technology Transfer Medical Key Laboratory of Yunnan Province, Kunming, 650032, China.
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