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Viroj Wiwanitkit describes for SIIC the most significant aspects of his article describe para SIIC los aspectos relevantes de su artículo The clarification of physiological genomics in mania PHYSIOLOGICAL GENOMICS IN MANIA Mania is a common psychological problem seen around the world. This neuropsychiatric disorder is an important issue for studying in neuropsychiatry. An important item to be studied is the pathogenesis. Molecular pathogenesis of mania has never been clarified, hence, the research to clarify this issue is warranted. In fact, to study the molecular pathogenesis of any disease, the investigation into the genomics level is required. The application of advanced genomics technique can be used to understand etiopathogenesis of complex disease. The new technique can be applied for the mania. To clarify the pathogenesis of mania, the author use standard physiological geneomics analysis to clarify the etiopathogenesis of the disease. Of interest, there is no observed physiogenomics relationship on chromosomes. It can imply that mania might not have a genetic. However, it should have an epigenic origin. This can imply that the etiopathogenesis is different from the other well-known genetic based disorders in psychological medicine such as Alzheimer's disease. The article was published by El artículo fue publicado por
Principal institution where the research took place Institución principal de la investigación Joseph Ayobabalola University, Nigeria, Ikeji-Arakeji, Ikeji-Arakeji, Nigeria  Authors' Report Crónica del Autor
Esclarecimiento de la genómica fisiológica en la manía
Esclarecimiento de la genómica fisiológica en la manía
Esclarecimiento de la genómica fisiológica en la manía
Esclarecimiento de la genómica fisiológica en la manía
Bibliographic references Genómica Fisiológica en la Manía La manía es una enfermedad psicológica frecuente en todo el mundo. Este trastorno neuropsiquiátrico y, en particular, su patogenia, son aspectos importantes para la investigación en neuropsiquiatría. Las bases moleculares de la manía nunca han sido dilucidadas, de modo que las investigaciones específicas al respecto están ampliamente justificadas. En cualquier enfermedad el estudio de la fisiopatogenia molecular incluye el análisis genómico. La aplicación de técnicas avanzadas de genómica puede ayudar a comprender la etiopatogenia de las enfermedades complejas. Este nuevo abordaje es aplicable a la manía. Con el objetivo de esclarecer la etiopatogenia de la manía se utilizaron análisis estandarizados de genómica fisiológica. Llamativamente no se observaron interacciones fisiogenómicas en los cromosomas, un fenómeno que podría indicar que la manía no tiene una etiología genética. En cambio, el origen epigenético es posible. Este concepto significa que la etiopatogenia difiere de la de otros trastornos genéticos bien conocidos en la medicina psicológica, como la enfermedad de Alzheimer. Crónica del Autor Imprimir nota Referencias bibliográficas 1. Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. Lancet S0140-6736(15)00241-X, 2015. 2. Papolos DF, Bronsteen A. Bipolar disorder in children: Assessment in general pediatric practice. Curr Opin Pediatr 25:419-26, 2013. 3. Nestler EJ, Peña CJ, Kundakovic M, Mitchell A, Akbarian S. Epigenetic basis of mental illness. Neuroscientist pii: 1073858415608147, 2015. 4. Wiwanitkit V. Physiological genomics analysis for mania: supportive evidence for epigenetics concept. Indian J Psychol Med 36(4):366-7, 2014. 5. Cowley AW, Jr, Liang M, Roman RJ, Greene AS, Jacob HJ. Consomic rat model systems for physiological genomics. Acta Physiol Scand 181:585-92, 2004. 6. Malek RL, Wang HY, Kwitek AE, Greene AS, Bhagabati N, Borchardt G, et al. Physiogenomic resources for rat models of heart, lung and blood disorders. Nat Genet 38:234-9, 2006. 7. Wiwanitkit V. Physiological genomics analysis for central diabetes insipidus. Acta Neurol Taiwan 17:214-6, 2008. 8. Wiwanitkit V. Difference in physiogenomics between male and female infertility. Andrologia 40:158-60, 2008. 9. Wiwanitkit V. Physiological genomics analysis for Alzheimer's disease. Ann Indian Acad Neurol 16:72-4, 2013. 10. Zhang X, Zhang C, Wu Z, Wang Z, Peng D, Chen J, et al. Association of genetic variation in CACNA1C with bipolar disorder in Han Chinese. J Affect Disord 150:261-5, 2013. 11. Zhang X, Zhang C, Wu Z, Wang Z, Peng D, Chen J, et al. Association of genetic variation in CACNA1C with bipolar disorder in Han Chinese. J Affect Disord 150:261-5, 2013. 12. Labrie V, Pai S, Petronis A. Epigenetics of major psychosis: Progress, problems and perspectives. Trends Genet 28:427-35, 2012. 13. Kaminsky Z, Tochigi M, Jia P, Pal M, Mill J, Kwan A, et al. A multi-tissue analysis identifies HLA complex group 9 gene methylation differences in bipolar disorder. Mol Psychiatry 17:728-40, 2012. 14. Sabunciyan S, Maher B, Bahn S, Dickerson F, Yolken RH. Association of DNA methylation with acute mania and inflammatory markers. PLoS One 10(7):e0132001, 2015. 15. Dimitrakopoulos S, Konstantakopoulos G. Pharmacological agents under research for the maintenance treatment in bipolar disorder. Psychiatriki 26(3):169-80, 2015. Other articles written by the author Viroj Wiwanitkit Otros artículos de Viroj Wiwanitkit Wiwanitkit V. Physiological genomics analysis for mania: supportive evidence for epigenetics concept. Indian J Psychol Med 36(4):366-7, 2014. Doi: 10.4103/0253-7176.140700. PubMed PMID: 25336766; PubMed Central PMCID: PMC4201786. Wiwanitkit V. Physiological genomics analysis for Alzheimer's disease. Ann Indian Acad Neurol 16(1):72-4, 2013. doi: 10.4103/0972-2327.107711. PubMed, PMID: 23661967; PubMed Central PMCID: PMC3644786. Wiwanitkit V. Physiological genomics analysis for central diabetes insipidus. Acta Neurol Taiwan 17(3):214-6, 2008. PubMed PMID: 18975530. 2: Wiwanitkit V. Physiological genomics analysis for Alzheimer's disease. Ann Indian Acad Neurol. 2013 Jan;16(1):72-4. doi: 10.4103/0972-2327.107711. PubMed PMID: 23661967; PubMed Central PMCID: PMC3644786. 3: Wiwanitkit V. Physiological genomics analysis for central diabetes insipidus. Acta Neurol Taiwan. 2008 Sep;17(3):214-6. PubMed PMID: 18975530. SIIC System of Assisted Editing (SSEA) / Sistema SIIC de Edición Asistida (SSEA)
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Information about the full text Acerca del trabajo completo Physiological Genomics Analysis for Mania: Supportive Evidence for Epigenetics Concept Author / Autor Viroj Wiwanitkit1 1 Professor, Joseph Ayobabalola University, Nigeri, Bangkok, Tailandia, Professor Access to the original source Indian Journal of Psychological Medicine Article URL: / URL del artículo: http://www.ijpm.info/ URL of Abstract: / URL del abstract: http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25336766/ URL of Abstract page in Medline: / URL del abstract en Medline: http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25336766/ siic DB: / siic DB: http://www.siicsalud.com/main/distriprinrel.php |
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