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NeuroMolecular Medicine

Erschienen in:

02.04.2023 | Research

Up-Regulation of S100 Gene Family in Brain Samples of a Subgroup of Individuals with Schizophrenia: Meta-analysis

verfasst von: Anat Shamir, Assif Yitzhaky, Aviv Segev, Vahram Haroutunian, Pavel Katsel, Libi Hertzberg

Erschienen in: NeuroMolecular Medicine | Ausgabe 3/2023

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Abstract

The S100 proteins family is known to affect neuroinflammation and astrocyte activation, which have been suggested to be contributors to the pathogenesis of schizophrenia. We conducted a systematic meta-analysis of S100 genes differential expression in postmortem samples of patients with schizophrenia vs. healthy controls, following the commonly used Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. Twelve microarray datasets met the inclusion criteria (overall 511 samples, 253 schizophrenia and 258 controls were analyzed). Nine out of 21 genes were significantly up-regulated or with tendency for up-regulation. A per-sample fold change analysis indicated that the S100 genes’ up-regulation was concentrated in a subgroup of the patients. None of the genes have been found to be down-regulated. ANXA3, which encodes Annexin 3 protein and was associated with neuroinflammation, was up-regulated and positively correlated with the S100 genes’ expression pattern. In addition, astrocytes and endothelial cell markers were significantly correlated with S100A8 expression. S100 correlation with ANXA3 and endothelial cell markers suggests that the up-regulation we detected reflects increased inflammation. However, it might also reflect astrocytes abundance or activation. The fact that S100 proteins were shown to be up-regulated in blood samples and other body fluids of patients with schizophrenia suggests a potential role as biomarkers, which might help disease subtyping, and the development of etiological treatments for immune dysregulation in schizophrenia.

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Ahmed, A. O., Strauss, G. P., Buchanan, R. W., Kirkpatrick, B., & Carpenter, W. T. (2018). Schizophrenia heterogeneity revisited: Clinical, cognitive, and psychosocial correlates of statistically-derived negative symptoms subgroups. Journal of Psychiatric Research, 97, 8–15. https://doi.org/10.1016/j.jpsychires.2017.11.004CrossRefPubMed

Barnes, M. R., Huxley-Jones, J., Maycox, P. R., Lennon, M., Thornber, A., Kelly, F., Bates, S., Taylor, A., Reid, J., Jones, N., Schroeder, J., Scorer, C. A., Davies, C., Hagan, J. J., Kew, J. N. C., Angelinetta, C., Akbar, T., Hirsch, S., Mortimer, A. M., … de Belleroche, J. (2011). Transcription and pathway analysis of the superior temporal cortex and anterior prefrontal cortex in schizophrenia. Journal of Neuroscience Research, 89(8), 1218–1227. https://doi.org/10.1002/jnr.22647

Boerrigter, D., Weickert, T. W., Lenroot, R., O’donnell, M., Galletly, C., Liu, D., Burgess, M., Cadiz, R., Jacomb, I., Catts, V. S., Fillman, S. G., & Weickert, C. S. (2017). Using blood cytokine measures to define high inflammatory biotype of schizophrenia and schizoaffective disorder. Journal of Neuroinflammation. https://doi.org/10.1186/s12974-017-0962-yCrossRefPubMedPubMedCentral

Bowden, N. A., Scott, R. J., & Tooney, P. A. (2008). Altered gene expression in the superior temporal gyrus in schizophrenia. BMC Genomics. https://doi.org/10.1186/1471-2164-9-199CrossRefPubMedPubMedCentral

Bowen, E. F. W., Burgess, J. L., Granger, R., Kleinman, J. E., & Rhodes, C. H. (2019). DLPFC transcriptome defines two molecular subtypes of schizophrenia. Translational Psychiatry. https://doi.org/10.1038/s41398-019-0472-zCrossRefPubMedPubMedCentral

Cai, H. Q., Catts, V. S., Webster, M. J., Galletly, C., Liu, D., O’donnell, M., Weickert, T. W., & Weickert, C. S. (2020). Increased macrophages and changed brain endothelial cell gene expression in the frontal cortex of people with schizophrenia displaying inflammation. Molecular Psychiatry, 25, 761–775. https://doi.org/10.1038/s41380-018-0235-xCrossRefPubMed

Chen, C., Meng, Q., Xia, Y., Ding, C., Wang, L., Dai, R., Cheng, L., Gunaratne, P., Gibbs, R. A., Min, S., Coarfa, C., Reid, J. G., Zhang, C., Jiao, C., Jiang, Y., Giase, G., Thomas, A., Fitzgerald, D., Brunetti, T., … Liu, C. (2018). The transcription factor POU3F2 regulates a gene coexpression network in brain tissue from patients with psychiatric disorders. Science Translational Medicine. https://doi.org/10.1126/scitranslmed.aat8178

Dean, B., Gray, L., & Scarr, E. (2006). Regionally specific changes in levels of cortical S100β in bipolar 1 disorder but not schizophrenia. Australian and New Zealand Journal of Psychiatry, 40, 217–224.PubMed

Dietz, A. G., Goldman, S. A., & Nedergaard, M. (2020). Glial cells in schizophrenia: a unified hypothesis. The Lancet Psychiatry, 7(3), 272–281. https://doi.org/10.1016/S2215-0366(19)30302-5CrossRefPubMed

Donato, R. (2001). S100: a multigenic family of calcium-modulated proteins of the EF-hand type with intracellular and extracellular functional roles. The International Journal of Biochemistry & Cell Biology, 33, 637–668.CrossRef

Fleiss, J. L. (1993). The random effects model. Statistical Methods in Medical Research, 2, 121–145.CrossRefPubMed

Fromer, M., Roussos, P., & Sieberts, S. K. (2016). Gene expression elucidates functional impact of polygenic risk for schizophrenia. Nature Neuroscience. https://doi.org/10.1038/nn.4399CrossRefPubMedPubMedCentral

Gandal, M. J., Haney, J. R., Parikshak, N. N., Leppa, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., Liu, C., White, K. P., Horvath, S., & Geschwind, D. H. (2018). Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science, 359, 693–697.CrossRefPubMedPubMedCentral

Gardiner, E. J., Cairns, M. J., Liu, B., Beveridge, N. J., Carr, V., Kelly, B., Scott, R. J., & Tooney, P. A. (2013). Gene expression analysis reveals schizophrenia-associated dysregulation of immune pathways in peripheral blood mononuclear cells. Journal of Psychiatric Research, 47(4), 425–437. https://doi.org/10.1016/j.jpsychires.2012.11.007CrossRefPubMed

Gerke, V., & Moss, S. E. (2002). Annexins: From structure to function. Physiological Reviews. https://doi.org/10.1152/physrev.00030.2001.-AnnexinsCrossRefPubMed

Gogtay, N., Vyas, N. S., Testa, R., Wood, S. J., & Pantelis, C. (2011). Age of onset of schizophrenia: Perspectives from structural neuroimaging studies. Schizophrenia Bulletin. https://doi.org/10.1093/schbul/sbr030CrossRefPubMedPubMedCentral

Golubinskaya, V., Puttonen, H., Fyhr, I. M., Rydbeck, H., Hellström, A., Jacobsson, B., Nilsson, H., Mallard, C., & Sävman, K. (2020). Expression of S100A alarmins in cord blood monocytes is highly associated with chorioamnionitis and fetal inflammation in preterm infants. Frontiers in Immunology. https://doi.org/10.3389/fimmu.2020.01194

Guo, B., Jiang, T., Wu, F., Ni, H., Ye, J., Wu, X., Ni, C., Jiang, M., Ye, L., Li, Z., Zheng, X., Li, S., Yang, Q., Wang, Z., Huang, X., & Zhao, C. (2022). LncRNA RP5-998N21.4 promotes immune defense through upregulation of IFIT2 and IFIT3 in schizophrenia. Schizophrenia. https://doi.org/10.1038/s41537-021-00195-8

Hedges, L. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Source: Journal of Educational Statistics, 6(2).

Hertzberg, L., Maggio, N., Muler, I., Yitzhaky, A., Majer, M., Haroutunian, V., Zuk, O., Katsel, P., Domany, E., & Weiser, M. (2021a). Comprehensive gene expression analysis detects global reduction of proteasome subunits in schizophrenia. Schizophrenia Bulletin, 47(3), 785–795. https://doi.org/10.1093/schbul/sbaa160CrossRefPubMed

Hertzberg, L., Zohar, A. H., & Yitzhaky, A. (2021b). Gene expression meta-analysis of cerebellum samples supports the fkbp5 gene-environment interaction model for schizophrenia. Life. https://doi.org/10.3390/LIFE11030190CrossRefPubMedPubMedCentral

Hoffman, G. E., Bendl, J., Voloudakis, G., Montgomery, K. S., Sloofman, L., Wang, Y.-C., Shah, H. R., Hauberg, M. E., Johnson, J. S., Girdhar, K., Song, L., Fullard, J. F., Kramer, R., Hahn, C.-G., Gur, R., Marenco, S., Lipska, B. K., Lewis, D. A., Haroutunian, V., … Roussos, P. (2019). CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder. Scientific Data. https://doi.org/10.1038/s41597-019-0183-6

Iavarone, F., Melis, M., Platania, G., Cabras, T., Manconi, B., Petruzzelli, R., Cordaro, M., Siracusano, A., Faa, G., Messana, I., Zanasi, M., & Castagnola, M. (2014). Characterization of salivary proteins of schizophrenic and bipolar disorder patients by top-down proteomics. Journal of Proteomics, 103, 15–22. https://doi.org/10.1016/j.jprot.2014.03.020CrossRefPubMed

Iwamoto, K., Kakiuchi, C., Bundo, M., Ikeda, K., & Kato, T. (2004). Molecular characterization of bipolar disorder by comparing gene expression profiles of postmortem brains of major mental disorders. Molecular Psychiatry, 9, 406–416. https://doi.org/10.1038/sj.mp.4001437CrossRefPubMed

Joaquim, H. P. G., Costa, A. C., Serpa, M. H., Talib, L. L., & Gattaz, W. F. (2020). Reduced Annexin A3 in schizophrenia. European Archives of Psychiatry and Clinical Neuroscience, 270, 489–494. https://doi.org/10.1007/s00406-019-01048-3CrossRefPubMed

Junker, H., Suofu, Y., Venz, S., Sascau, M., Herndon, J. G., Kessler, C., Walther, R., & Popa-Wagner, A. (2007). Proteomic identification of an upregulated isoform of Annexin A3 in the rat brain following reversible cerebral ischemia. Glia. https://doi.org/10.1002/glia.20581CrossRefPubMed

Jurga, A. M., Paleczna, M., Kadluczka, J., & Kuter, K. Z. (2021). Beyond the GFAP-astrocyte protein markers in the brain. Biomolecules. https://doi.org/10.3390/biom11091361CrossRefPubMedPubMedCentral

Katsel, P., Byne, W., Roussos, P., Tan, W., Siever, L., & Haroutunian, V. (2011). Astrocyte and glutamate markers in the superficial, deep, and white matter layers of the anterior cingulate gyrus in schizophrenia. Neuropsychopharmacology, 36, 1171–1177. https://doi.org/10.1038/npp.2010.252CrossRefPubMedPubMedCentral

Kontkanen, O., Törö, P., Lakso, M., Wong, G., & Castrén, E. (2002). Antipsychotic drug treatment induces differential gene expression in the rat cortex. Journal of Neurochemistry, 83, 1043–1053.CrossRefPubMed

Kulohoma, B. W., Marriage, F., Vasieva, O., Mankhambo, L., Nguyen, K., Molyneux, M. E., Molyneux, E. M., Day, P. J. R., & Carrol, E. D. (2017). Peripheral blood RNA gene expression in children with pneumococcal meningitis: A prospective case-control study. BMJ Paediatrics Open. https://doi.org/10.1136/BMJPO-2017-000092CrossRefPubMedPubMedCentral

Kurian, S. M., Le-Niculescu, H., Patel, S. D., Bertram, D., Davis, J., Dike, C., Yehyawi, N., Lysaker, P., Dustin, J., Caligiuri, M., Lohr, J., Lahiri, D. K., Nurnberger, J. I., Faraone, S., Geyer, M. A., Tsuang, M. T., Schork, N. J., Salomon, D. R., & Niculescu, A. B. (2011). Identification of blood biomarkers for psychosis using convergent functional genomics. Molecular Psychiatry, 16(1), 37–58. https://doi.org/10.1038/mp.2009.117CrossRefPubMed

Lanz, T. A., Reinhart, V., Sheehan, M. J., Rizzo, S. J. S., Bove, S. E., James, L. C., Volfson, D., Lewis, D. A., & Kleiman, R. J. (2019a). Postmortem transcriptional profiling reveals widespread increase in inflammation in schizophrenia: A comparison of prefrontal cortex, striatum, and hippocampus among matched tetrads of controls with subjects diagnosed with schizophrenia, bipolar or major depressive disorder. Translational Psychiatry. https://doi.org/10.1038/s41398-019-0492-8CrossRefPubMedPubMedCentral

le Cabec, V., & Maridonneau-Parini, I. (1994). Annexin 3 is associated with cytoplasmic granules in neutrophils and monocytes and translocates to the plasma membrane in activated cells. Biochemical Journal, 303(2), 481–487. https://doi.org/10.1042/BJ3030481CrossRefPubMedPubMedCentral

Leza, J. C., Bueno, B., Bioque, M., Arango, C., Parellada, M., Do, K., O’Donnell, P., & Bernardo, M. (2015). Inflammation in schizophrenia: A question of balance. Neuroscience & Biobehavioral Reviews, 55, 612–626. https://doi.org/10.1016/J.NEUBIOREV.2015.05.014CrossRef

Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009). Guidelines and guidance The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Medicine. https://doi.org/10.1371/journal.pmed.1000100CrossRefPubMedPubMedCentral

Maycox, P. R., Kelly, F., Taylor, A., Bates, S., Reid, J., Logendra, R., Barnes, M. R., Larminie, C., Jones, N., Lennon, M., Davies, C., Hagan, J. J., Angelinetta, C., Akbar, T., Hirsch, S., Mortimer, A. M., Barnes, T., & de Belleroche, J. (2009). Analysis of gene expression in two large schizophrenia cohorts identifies multiple changes associated with nerve terminal function. Molecular Psychiatry, 14, 1083–1094. https://doi.org/10.1038/mp.2009.18CrossRefPubMed

Mcgrath, J., Saha, S., Chant, D., & Welham, J. (2008). Schizophrenia: A concise overview of incidence, prevalence, and mortality. Iranian Journal of Psychiatry and Behavioral Sciences. https://doi.org/10.1093/epirev/mxn001CrossRef

Merikangas, A. K., Shelly, M., Knighton, A., Kotler, N., Tanenbaum, N., & Almasy, L. (2022). What genes are differentially expressed in individuals with schizophrenia? A systematic review. Molecular Psychiatry, 27(3), 1373–1383. https://doi.org/10.1038/S41380-021-01420-7CrossRefPubMedPubMedCentral

Mirnics, K., Levitt, P., & Lewis, D. A. (2006). Critical appraisal of DNA microarrays in psychiatric genomics. Biological Psychiatry, 60(2), 163–176. https://doi.org/10.1016/j.biopsych.2006.02.003CrossRefPubMed

Murai, N. (2020). Functional analysis of CX3CR1 in human induced pluripotent stem (iPS) cell-derived microglia-like cells. Maisam Mitalipova 1 | Rudolf Jaenisch, 52, 3. https://doi.org/10.1111/ejn.14879

Nishiyama, H., Knöpfel, T., & Endo, S. (2002). Glial Protein S100B Modulates Long-Term Neuronal Synaptic Plasticity on JSTOR. National Academy of Sciences. https://www.jstor.org/stable/3058247?seq=1#metadata_info_tab_contents

Ohtsuki, S., Sato, S., Yamaguchi, H., Kamoi, M., Asashima, T., & Terasaki, T. (2007). Exogenous expression of claudin-5 induces barrier properties in cultured rat brain capillary endothelial cells. Journal of Cellular Physiology, 210, 81–86. https://doi.org/10.1002/jcp.20823CrossRefPubMed

Oved, K., Morag, A., Pasmanik-Chor, M., Rehavi, M., Shomron, N., & Gurwitz, D. (2013). Genome-wide expression profiling of human lymphoblastoid cell lines implicates integrin beta-3 in the mode of action of antidepressants. Translational Psychiatry. https://doi.org/10.1038/tp.2013.86CrossRefPubMedPubMedCentral

Paz, R. D., Andreasen, N. C., & Daoud, S. Z. (2006). Increased expression of activity dependent genes in cerebellar glutamatergic neurons of patients with schizophrenia. American Journal of Psychiatry, 163, 1829–1831.CrossRefPubMed

Pérez-Santiago, J., Diez-Alarcia, R., Callado, L. F., Zhang, J. X., Chana, G., White, C. H., Glatt, S. J., Tsuang, M. T., Everall, I. P., Meana, J. J., & Woelk, C. H. (2012). A combined analysis of microarray gene expression studies of the human prefrontal cortex identifies genes implicated in schizophrenia. Journal of Psychiatric Research, 46(11), 1464–1474. https://doi.org/10.1016/j.jpsychires.2012.08.005CrossRefPubMed

Pietersen, C. Y., Mauney, S. A., Kim, S. S., Lim, M. P., Rooney, R. J., Goldstein, J. M., Petryshen, T. L., Seidman, L. J., Shenton, M. E., McCarley, R. W., Sonntag, K.-C., & Woo, T.-U.W. (2014a). Molecular profiles of pyramidal neurons in the superior temporal cortex in schizophrenia. Journal of Neurogenetics, 28, 1–2. https://doi.org/10.3109/01677063.2014.882918CrossRef

Pietersen, C. Y., Mauney, S. A., Kim, S. S., Passeri, E., Lim, M. P., Rooney, R. J., Goldstein, J. M., Petreyshen, T. L., Seidman, L. J., Shenton, M. E., Mccarley, R. W., Sonntag, K.-C., & Woo, T.-U.W. (2014b). Molecular profiles of parvalbumin-immunoreactive neurons in the superior temporal cortex in schizophrenia. Journal of Neurogenetics, 28, 70–85. https://doi.org/10.3109/01677063.2013.878339CrossRefPubMedPubMedCentral

Pong, S., Lizano, P., & Karmacharya, R. (2020). Derivation, expansion, cryopreservation and characterization of brain microvascular endothelial cells from human induced pluripotent stem cells corresponding author date published. Journal of Visualized Experiments, 165, 61629. https://doi.org/10.3791/61629CrossRef

Pope, P. T., & Webster, J. T. (1972). The use of an F-statistic in stepwise regression procedures. Technometrics, 14(2), 327.

Ramaker, R. C., Bowling, K. M., Lasseigne, B. N., Hagenauer, M. H., Hardigan, A. A., Davis, N. S., Gertz, J., Cartagena, P. M., Walsh, D. M., Vawter, M. P., Schatzberg, A. F., Barchas, J. D., Watson, S. J., Bunney, B. G., Akil, H., Bunney, W. E., Li, J. Z., Cooper, S. J., & Myers, R. M. (2017). Post-mortem molecular profiling of three psychiatric disorders. Genome Medicine. https://doi.org/10.1186/s13073-017-0458-5CrossRefPubMedPubMedCentral

Réus, G. Z., Fries, G. R., Stertz, L., Badawy, M., Passos, I. C., Barichello, T., Kapczinski, F., & Quevedo, J. (2015). The role of inflammation and microglial activation in the pathophysiology of psychiatric disorders. Neuroscience, 300, 141–154. https://doi.org/10.1016/J.NEUROSCIENCE.2015.05.018CrossRefPubMed

Roder, J. K., Roder, J. C., & Gerlai, R. (1996). Conspecific exploration in the T-maze: Abnormalities in S100β transgenic mice. Physiology and Behavior, 60(1), 31–36. https://doi.org/10.1016/0031-9384(95)02247-3CrossRefPubMed

Roussos, P., Mitchell, A. C., Voloudakis, G., Fullard, J. F., Pothula, V. M., Tsang, J., Stahl, E. A., Georgakopoulos, A., Ruderfer, D. M., Charney, A., Okada, Y., Siminovitch, K. A., Worthington, J., Padyukov, L., Klareskog, L., Gregersen, P. K., Plenge, R. M., Raychaudhuri, S., Fromer, M., … Sklar, P. (2014). A Role for Noncoding Variation in Schizophrenia. Cell Reports, 9(4), 1417–1429. https://doi.org/10.1016/j.celrep.2014.10.015

Sárvári, A. K., Veréb, Z., Uray, I. P., Fésüs, L., & Balajthy, Z. (2014). Atypical antipsychotics induce both proinflammatory and adipogenic gene expression in human adipocytes in vitro. Biochemical and Biophysical Research Communications, 450(4), 1383–1389. https://doi.org/10.1016/J.BBRC.2014.07.005CrossRefPubMed

Schümberg, K., Polyakova, M., Steiner, J., & Schroeter, M. L. (2016). Serum s100b is related to illness duration and clinical symptoms in schizophrenia—A meta-regression analysis. Frontiers in Cellular Neuroscience. https://doi.org/10.3389/fncel.2016.00046CrossRefPubMedPubMedCentral

Schwarzer, G. (2007). meta: An R package for meta-analysis. Psychometrics in R Journal of Statistical Software, 20(1).

Smoller, J. W., Andreassen, O. A., Edenberg, H. J., Faraone, S. V., Glatt, J., & Kendler, K. S. (2019). Psychiatric genetics and the structure of psychopathology. Molecular Psychiatry, 24, 409–420. https://doi.org/10.1038/s41380-017-0010-4CrossRefPubMed

Steiner, J., Bernstein, H.-G., Bielau, H., Farkas, N., Winter, J., Dobrowolny, H., Brisch, R., Gos, T., Mawrin, C., Myint, A. M., & Bogerts, B. (2008). S100B-immunopositive glia is elevated in paranoid as compared to residual schizophrenia: A morphometric study. Journal of Psychiatric Research. https://doi.org/10.1016/j.jpsychires.2007.10.001CrossRefPubMed

Steiner, J., Bielau, H., & Bernstein, H.-G. (2006). Increased cerebrospinal fluid and serum levels of S100B in first-onset schizophrenia are not related to a degenerative release of glial fibrillar acidic protein, myelin basic protein and neurone-specific enolase from glia or neurones. Journal of Neurology, Neurosurgery and Psychiatry, 77, 1284–1287. https://doi.org/10.1136/jnnp.2006.093427CrossRefPubMedPubMedCentral

Steiner, J., Schmitt, A., Schroeter, M. L., Bogerts, B., Falkai, P., & Turck, C. W. (2014). S100B is downregulated in the nuclear proteome of schizophrenia corpus callosum. European Archives of Psychiatry and Clinical Neuroscience. https://doi.org/10.1007/s00406-014-0490-zCrossRefPubMedPubMedCentral

Toker, L., Mancarci, B. O., Tripathy, S., & Pavlidis, P. (2018). Transcriptomic evidence for alterations in astrocytes and parvalbumin interneurons in subjects with bipolar disorder and schizophrenia. Biological Psychiatry, 84(11), 787–796. https://doi.org/10.1016/j.biopsych.2018.07.010CrossRefPubMedPubMedCentral

Trépanier, M. O., Hopperton, K. E., Mizrahi, R., Mechawar, N., & Bazinet, R. P. (2016). Postmortem evidence of cerebral inflammation in schizophrenia: A systematic review. Molecular Psychiatry, 21, 1009–1026. https://doi.org/10.1038/mp.2016.90CrossRefPubMedPubMedCentral

Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., Lam, M., Watanabe, K., Frei, O., Ge, T., Harwood, J. C., Koopmans, F., Magnusson, S., Richards, A. L., Sidorenko, J., … van Os, J. (2022). Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature, 604(7906), 502–508. https://doi.org/10.1038/S41586-022-04434-5

Tsuang, M. T., Nossova, N., Yager, T., Tsuang, M. M., Guo, S. C., Kou, G. S., Glatt, S. J., & Liew, C. C. (2005). Assessing the validity of blood-based gene expression profiles for the classification of schizophrenia and bipolar disorder: A preliminary report. American Journal of Medical Genetics - Neuropsychiatric Genetics, 133B(1), 1–5. https://doi.org/10.1002/ajmg.b.30161CrossRef

Wu, T., Liang, X., Jiang, Y., Chen, Q., Zhang, H., Zhang, S., Zhang, C., Lv, Y., Xin, J., Jiang, J., Shi, D., Chen, X., Li, J., & Xu, Y. (2020). Comprehensive transcriptome profiling of peripheral blood mononuclear cells from patients with sepsis. International Journal of Medical Sciences, 17(14), 2077. https://doi.org/10.7150/IJMS.46910CrossRefPubMedPubMedCentral

Yao, Y., Schröder, J., & Karlsson, H. (2008). Verification of proposed peripheral biomarkers in mononuclear cells of individuals with schizophrenia. Journal of Psychiatric Research, 42(8), 639–643. https://doi.org/10.1016/j.jpsychires.2007.07.011CrossRefPubMed

Zeidán-Chuliá, F., Neves De Oliveira, B.-H., Casanova, M. F., Casanova, E. L., Noda, M., Salmina, A. B., & Verkhratsky, A. (2016). Up-regulation of oligodendrocyte lineage markers in the cerebellum of autistic patients: Evidence from network analysis of gene expression. Molecular Neurobiology. https://doi.org/10.1007/s12035-015-9351-7CrossRefPubMed

Zeng, J., Xue, A., Jiang, L., Lloyd-Jones, L. R., Wu, Y., Wang, H., Zheng, Z., Yengo, L., Kemper, K. E., Goddard, M. E., Wray, N. R., Visscher, P. M., & Yang, J. (2021). Widespread signatures of natural selection across human complex traits and functional genomic categories. Nature Communications. https://doi.org/10.1038/s41467-021-21446-3CrossRefPubMedPubMedCentral

Titel: Up-Regulation of S100 Gene Family in Brain Samples of a Subgroup of Individuals with Schizophrenia: Meta-analysis
verfasst von: Anat Shamir
Assif Yitzhaky
Aviv Segev
Vahram Haroutunian
Pavel Katsel
Libi Hertzberg
Publikationsdatum: 02.04.2023
Verlag: Springer US
Erschienen in: NeuroMolecular Medicine / Ausgabe 3/2023
Print ISSN: 1535-1084
Elektronische ISSN: 1559-1174
DOI: https://doi.org/10.1007/s12017-023-08743-4

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Die Highlights vom Kongress des American College of Cardiology 2024

Springer Medizin

Abstract

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Weitere Artikel der Ausgabe 3/2023

Does Inflammation Play a Major Role in the Pathogenesis of Alzheimer's Disease?

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Spautin-1 Protects Against Mild TBI-Induced Anxiety-Like Behavior in Mice via Immunologically Silent Apoptosis

The Ubiquitin Proteasome System as a Therapeutic Area in Parkinson’s Disease

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