☆ 4.4 Article

A meta-analysis of the polyunsaturated fatty acid composition of erythrocyte membranes in schizophrenia

SCHIZOPHRENIA RESEARCH (2012)

期刊

SCHIZOPHRENIA RESEARCH

卷 141, 期 2-3, 页码 153-161

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ELSEVIER

DOI: 10.1016/j.schres.2012.08.014

关键词

Schizophrenia; Pufa; Erythrocyte; Brain volume loss; Fatty acid

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Psychiatry

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摘要

Background: Membrane abnormalities in polyunsaturated fatty acids (PUFAs) have been reported in schizophrenia and have been associated with brain tissue loss in normal ageing. Therefore PUFA may be involved in the excessive brain tissue loss reported in schizophrenia. Methods: A systematic MEDLINE database search was conducted to identify studies that compared PUFAs in erythrocyte membranes in patients and controls. Patients were categorized by medication regime in medication naive first-episode patients, and patients receiving typical or atypical antipsychotics. Sample: Fourteen studies were included, comprising a total of 429 patients with schizophrenia and 444 healthy control subjects. Cohen's d effect sizes were calculated for PUFAs in erythrocyte membranes using the random-effects model. Combined Cohen's d was calculated separately for patients on different medication regime. Results: Medication-naive patients and patients taking typical antipsychotics showed significantly (p<0.01) decreased concentrations of arachidonic (AA), docosahexaenoic (DHA), and docosapentaenoic (DPA) acid. In addition, patients taking typical antipsychotics showed decreased linoleic (LA), dihomo-gamma-linolenic acid (DGLA), eicosapentaenoic (EPA) and docosatetraenoic (DTA) acid (p<0.01). Patients taking atypical antipsychotics showed decreased DHA (p<0.01) only. Conclusions: PUFA concentrations in erythrocyte membranes are decreased in schizophrenia. Of particular importance in patients are lower concentrations of DHA and AA, two fatty acids that are abundant in the brain and important precursors in the cell-signalling cascade. (C) 2012 Elsevier B.V. All rights reserved.

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HUMAN BRAIN MAPPING (2022)

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Article Neurosciences

Cortical thickness across the lifespan: Data from 17,075 healthy individuals aged 3-90 years

Sophia Frangou, Amirhossein Modabbernia, Steven C. R. Williams, Efstathios Papachristou, Gaelle E. Doucet, Ingrid Agartz, Moji Aghajani, Theophilus N. Akudjedu, Anton Albajes-Eizagirre, Dag Alnaes, Kathryn Alpert, Micael Andersson, Nancy C. Andreasen, Ole A. Andreassen, Philip Asherson, Tobias Banaschewski, Nuria Bargallo, Sarah Baumeister, Ramona Baur-Streubel, Alessandro Bertolino, Aurora Bonvino, Dorret Boomsma, Stefan Borgwardt, Josiane Bourque, Daniel Brandeis, Alan Breier, Henry Brodaty, Rachel M. Brouwer, Jan K. Buitelaar, Geraldo F. Busatto, Randy L. Buckner, Vincent Calhoun, Erick J. Canales-Rodriguez, Dara M. Cannon, Xavier Caseras, Francisco X. Castellanos, Simon Cervenka, Tiffany M. Chaim-Avancini, Christopher R. K. Ching, Victoria Chubar, Vincent P. Clark, Patricia Conrod, Annette Conzelmann, Benedicto Crespo-Facorro, Fabrice Crivello, Eveline A. Crone, Anders M. Dale, Christopher Davey, Eco J. C. de Geus, Lieuwe de Haan, Greig de Zubicaray, Anouk den Braber, Erin W. Dickie, Annabella Di Giorgio, Nhat Trung Doan, Erlend S. Dorum, Stefan Ehrlich, Susanne Erk, Thomas Espeseth, Helena Fatouros-Bergman, Simon E. Fisher, Jean-Paul Fouche, Barbara Franke, Thomas Frodl, Paola Fuentes-Claramonte, David C. Glahn, Ian H. Gotlib, Hans-Joergen Grabe, Oliver Grimm, Nynke A. Groenewold, Dominik Grotegerd, Oliver Gruber, Patricia Gruner, Rachel E. Gur, Ruben C. Gur, Ben J. Harrison, Catharine A. Hartman, Sean N. Hatton, Andreas Heinz, Dirk J. Heslenfeld, Derrek P. Hibar, Ian B. Hickie, Beng-Choon Ho, Pieter J. Hoekstra, Sarah Hohmann, Avram J. Holmes, Martine Hoogman, Norbert Hosten, Fleur M. Howells, Hilleke E. Hulshoff Pol, Chaim Huyser, Neda Jahanshad, Anthony James, Terry L. Jernigan, Jiyang Jiang, Erik G. Jonsson, John A. Joska, Rene Kahn, Andrew Kalnin, Ryota Kanai, Marieke Klein, Tatyana P. Klyushnik, Laura Koenders, Sanne Koops, Bernd Kraemer, Jonna Kuntsi, Jim Lagopoulos, Luisa Lazaro, Irina Lebedeva, Won Hee Lee, Klaus-Peter Lesch, Christine Lochner, Marise W. J. Machielsen, Sophie Maingault, Nicholas G. Martin, Ignacio Martinez-Zalacain, David Mataix-Cols, Bernard Mazoyer, Colm McDonald, Brenna C. McDonald, Andrew M. McIntosh, Katie L. McMahon, Genevieve McPhilemy, Jose M. Menchon, Sarah E. Medland, Andreas Meyer-Lindenberg, Jilly Naaijen, Pablo Najt, Tomohiro Nakao, Jan E. Nordvik, Lars Nyberg, Jaap Oosterlaan, Victor Ortiz-Garcia de la Foz, Yannis Paloyelis, Paul Pauli, Giulio Pergola, Edith Pomarol-Clotet, Maria J. Portella, Steven G. Potkin, Joaquim Radua, Andreas Reif, Daniel A. Rinker, Joshua L. Roffman, Pedro G. P. Rosa, Matthew D. Sacchet, Perminder S. Sachdev, Raymond Salvador, Pascual Sanchez-Juan, Salvador Sarro, Theodore D. Satterthwaite, Andrew J. Saykin, Mauricio H. Serpa, Lianne Schmaal, Knut Schnell, Gunter Schumann, Kang Sim, Jordan W. Smoller, Iris Sommer, Carles Soriano-Mas, Dan J. Stein, Lachlan T. Strike, Suzanne C. Swagerman, Christian K. Tamnes, Henk S. Temmingh, Sophia Thomopoulos, Alexander S. Tomyshev, Diana Tordesillas-Gutierrez, Julian N. Trollor, Jessica A. Turner, Anne Uhlmann, Odile A. van den Heuvel, Dennis van den Meer, Nic J. A. van der Wee, Neeltje E. M. van Haren, Dennis van't Ent, Theo G. M. van Erp, Ilya M. Veer, Dick J. Veltman, Aristotle Voineskos, Henry Voelzke, Henrik Walter, Esther Walton, Lei Wang, Yang Wang, Thomas H. Wassink, Bernd Weber, Wei Wen, John D. West, Lars T. Westlye, Heather Whalley, Lara M. Wierenga, Katharina Wittfeld, Daniel H. Wolf, Amanda Worker, Margaret J. Wright, Kun Yang, Yulyia Yoncheva, Marcus Zanetti, Georg C. Ziegler, Paul M. Thompson, Danai Dima

Summary: The study used data from the ENIGMA Consortium to explore the relationship between age and cortical thickness, finding that most regions peak in cortical thickness during childhood, with a negative association between age and cortical thickness where the slope is steeper before the age of 30 and more gradual afterwards.

HUMAN BRAIN MAPPING (2022)

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Review Neurosciences

Effects of copy number variations on brain structure and risk for psychiatric illness: Large-scale studies from the ENIGMA working groups on CNVs

Ida E. Sonderby, Christopher R. K. Ching, Sophia I. Thomopoulos, Dennis van Der Meer, Daqiang Sun, Julio E. Villalon-Reina, Ingrid Agartz, Katrin Amunts, Celso Arango, Nicola J. Armstrong, Rosa Ayesa-Arriola, Geor Bakker, Anne S. Bassett, Dorret I. Boomsma, Robin Bulow, Nancy J. Butcher, Vince D. Calhoun, Svenja Caspers, Eva W. C. Chow, Sven Cichon, Simone Ciufolini, Michael C. Craig, Benedicto Crespo-Facorro, Adam C. Cunningham, Anders M. Dale, Paola Dazzan, Greig I. de Zubicaray, Srdjann Djurovic, Joanne L. Doherty, Gary Donohoe, Bogdan Draganski, Courtney A. Durdle, Stefan Ehrlich, Beverly S. Emanuel, Thomas Espeseth, Simon E. Fisher, Tian Ge, David C. Glahn, Hans J. Grabe, Raquel E. Gur, Boris A. Gutman, Jan Haavik, Asta K. Haberg, Laura A. Hansen, Ryota Hashimoto, Derrek P. Hibar, Avram J. Holmes, Jouke-Jan Hottenga, Hilleke E. Hulshoff Pol, Maria Jalbrzikowski, Emma E. M. Knowles, Leila Kushan, David E. J. Linden, Jingyu Liu, Astri J. Lundervold, Sandra Martin-Brevet, Kenia Martinez, Karen A. Mather, Samuel R. Mathias, Donna M. McDonald-McGinn, Allan F. McRae, Sarah E. Medland, Torgeir Moberget, Claudia Modenato, Jennifer Monereo Sanchez, Clara A. Moreau, Thomas W. Muhleisen, Tomas Paus, Zdenka Pausova, Carlos Prieto, Anjanibhargavi Ragothaman, Celine S. Reinbold, Tiago Reis Marques, Gabriela M. Repetto, Alexandre Reymond, David R. Roalf, Borja Rodriguez-Herreros, James J. Rucker, Perminder S. Sachdev, James E. Schmitt, Peter R. Schofield, Ana I. Silva, Hreinn Stefansson, Dan J. Stein, Christian K. Tamnes, Diana Tordesillas-Gutierrez, Magnus O. Ulfarsson, Ariana Vajdi, Dennis van 't Ent, Marianne B. M. van den Bree, Evangelos Vassos, Javier Vazquez-Bourgon, Fidel Vila-Rodriguez, G. Bragi Walters, Wei Wen, Lars T. Westlye, Katharina Wittfeld, Elaine H. Zackai, Kari Stefansson, Sebastien Jacquemont, Paul M. Thompson, Carrie E. Bearden, Ole A. Andreassen

Summary: The ENIGMA-CNV and 22q-ENIGMA WGs aim to investigate the effects of CNVs on brain structures, with findings showing differences in cognitive, neurodevelopmental, and neuropsychiatric traits as well as characteristic patterns of brain structural abnormalities. The genotype-first approach provides insights into the etiopathogenesis of brain disorders, and future directions include further understanding the impacts of CNVs on brain structure and behavior.

HUMAN BRAIN MAPPING (2022)

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Article Neurosciences

De-identification procedures for magnetic resonance images and the impact on structural brain measures at different ages

Elizabeth E. L. Buimer, Hugo G. Schnack, Yaron Caspi, Neeltje E. M. van Haren, Mikhail Milchenko, Pascal Pas, Hilleke E. Hulshoff Pol, Rachel M. Brouwer

Summary: The study evaluated three methods for de-identifying MRI brain scans containing privacy-sensitive information, finding that Face Masking and FSL defacing potentially impacted brain voxels in younger participants, while FreeSurfer defacing left brain tissue intact. The regional brain measures from de-identified scans were highly replicable across different age groups, with small systematic biases that occasionally resulted in significantly different brain measures. Overall, visual differences between de-identification methods minimally affected the reliability of brain measures.

HUMAN BRAIN MAPPING (2021)

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Article Neurosciences

Reliability modelling of resting-state functional connectivity

Jalmar Teeuw, Hilleke E. Hulshoff Pol, Dorret I. Boomsma, Rachel M. Brouwer

Summary: The study investigated the impact of reliability modeling of FC estimates in rs-fMRI data on associations with various traits. Results showed that the split-half measurement model improved the reliability of FC, increased the strength of associations with traits, and enhanced heritability estimates, with greater benefits observed for shorter scan durations and smaller sample sizes. The reliability modeling based on a split-half using a measurement model can benefit genetic and behavioral studies by extracting a stable and reliable component of FC that is free from random measurement error and improves genetic and behavioral associations.

NEUROIMAGE (2021)

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Article Behavioral Sciences

Integrating Cognitive Developmental Neuroscience in Society: Lessons Learned From a Multidisciplinary Research Project on Education and Social Safety of Youth

Annelinde R. E. Vandenbroucke, Eveline A. Crone, Jan B. F. van Erp, Berna Gueroglu, Hilleke Hulshoff E. Pol, Catherina H. de Kogel, Lydia Krabbendam, Lucres M. C. Jansen, Anne-Marie Brouwer

Summary: Successfully integrating research projects into society requires good collaboration, common expectations and goals, and investment in clear communication. To integrate cognitive developmental neuroscience effectively, it is necessary to build diverse multidisciplinary teams, take a non-standard research approach, consider integration throughout the project, and allocate sufficient resources for effective communication.

FRONTIERS IN INTEGRATIVE NEUROSCIENCE (2021)

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Article Biochemistry & Molecular Biology

Multivariate Genetic Structure of Externalizing Behavior and Structural Brain Development in a Longitudinal Adolescent Twin Sample

Jalmar Teeuw, Marieke Klein, Nina Roth Mota, Rachel M. Brouwer, Dennis van 't Ent, Zyneb Al-Hassaan, Barbara Franke, Dorret Boomsma, Hilleke E. Hulshoff Pol

Summary: Externalizing behavior is considered a problem for individuals, families, teachers, and society. This study found that there is a genetic influence on externalizing behavior and changes in behavior. It also identified associations between externalizing behavior and brain structures, suggesting a potential mediating role for global brain structures in the display of externalizing behavior during adolescence.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

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Article Biochemistry & Molecular Biology

Heritability of Urinary Amines, Organic Acids, and Steroid Hormones in Children

Fiona A. Hagenbeek, Jenny van Dongen, Rene Pool, Amy C. Harms, Peter J. Roetman, Vassilios Fanos, Britt J. van Keulen, Brian R. Walker, Naama Karu, Hilleke E. Hulshoff Pol, Joost Rotteveel, Martijn J. J. Finken, Robert R. J. M. Vermeiren, Cornelis Kluft, Meike Bartels, Thomas Hankemeier, Dorret Boomsma

Summary: This study investigated the role of genetic and environmental factors in urinary metabolomics data in children. The findings suggest that urinary metabolites have significant heritability, with similar estimates for amines and organic acids, and higher estimates for steroid hormones.

METABOLITES (2022)

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Review Biology

Why did glutamate, GABA, and melatonin become intercellular signalling molecules in plants?

Yaron Caspi, Chrysoula K. Pantazopoulou, Jeanine J. Prompers, Corne M. J. Pieterse, Hilleke Hulshoff Pol, Kaisa Kajala

Summary: Intercellular signalling is essential for multicellular life. Studying the commonalities and differences in how signalling molecules function in different branches of life can provide insights into their recruitment for intercellular signalling. This review focuses on the plant function of three well-studied animal intercellular signalling molecules, glutamate, ?-aminobutyric acid (GABA), and melatonin, and suggests that molecules with key metabolic functions or involvement in reactive ion species scavenging have a high potential for becoming intercellular signalling molecules. Additionally, the evolution of machinery to transduce signals across plasma membranes is necessary, as evidenced by the lack of evidence for serotonin, dopamine, and acetylcholine acting as intercellular signalling molecules in plants.

ELIFE (2023)

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