Zobrazeno 1 - 10
of 911
pro vyhledávání: '"Shih- Jen Tsai"'
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 37, Iss 2, Pp 83-88 (2023)
Objectives: The association between obsessive–compulsive disorder (OCD) and sexually transmitted infections (STIs) and the effects of OCD medication on STI risk remain unknown. In the present study, we intended to study the risks of subsequent STIs
Externí odkaz:
https://doaj.org/article/4d6f407ac6b4408dad9f16b872fda6f0
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 37, Iss 2, Pp 70-77 (2023)
Background: Increasing studies have supported the relationship between pain disorders and treatment-resistant depression (TRD) or chronic pain disorders may possibly impact the clinical characteristics of major depressive disorder (MDD). Thus, this l
Externí odkaz:
https://doaj.org/article/bf15adcc62bf4306906a7cce7801bdd3
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 36, Iss 4, Pp 182-187 (2022)
Background: A recent study has shown the beneficial effects of interferon (IFN)-based antiviral therapy (AVT) in reducing the risk of newly diagnosed depression among patients with hepatitis C virus (HCV) infection. But whether IFN-based AVT reduces
Externí odkaz:
https://doaj.org/article/2f319f3534c44c3387f6f79b1800c05f
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 36, Iss 2, Pp 68-73 (2022)
Background: Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism is related to the pathophysiology of treatment-resistant depression (TRD). But whether the Val66Met polymorphism is associated with the clinical manifestations of TRD (such as
Externí odkaz:
https://doaj.org/article/5e7bee5ad8724b539ef9a42e06faa5a8
Autor:
Mu- Hong Chen, Shih- Jen Tsai
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 35, Iss 1, Pp 26-31 (2021)
Background: Evidence suggested that borderline personality disorder (BPD) is related to the increased likelihood of risky sexual behaviors and that BPD is one of the most important risk factors of teenage pregnancy among adolescents. But whether adol
Externí odkaz:
https://doaj.org/article/51c0f74060214057a5fffd4cb959c9ee
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 34, Iss 3, Pp 115-120 (2020)
Objective: Thyroid hormones are crucial in normal brain development. Abnormal thyroid hormones in pregnancy may impair neurodevelopment in the offspring. In this study, we intended to determine whether prenatal hyperthyroidism can increase the offspr
Externí odkaz:
https://doaj.org/article/758e5f0abb93404a98f0d40879b5bc4b
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 33, Iss 1, Pp 33-38 (2019)
Background: Brain-derived neurotrophic factor (BDNF), the most abundant and widely expressed neurotrophin in the brain, is believed to play an important role in depression and anxiety. In this study, we hypothesized that single-nucleotide polymorphis
Externí odkaz:
https://doaj.org/article/e715910804db4f98a117d876ffad56b6
Publikováno v:
Taiwanese Journal of Psychiatry, Vol 33, Iss 3, Pp 155-159 (2019)
Background: Vascular endothelial growth factor A (VEGFA) and brain-derived neurotrophic factor (BDNF), the most abundant and widely expressed neurotrophic factors in the brain, are believed to play an important rôle in depression and anxiety. In thi
Externí odkaz:
https://doaj.org/article/792a1a3c1a194f89b6923a53e7bbbff5
Autor:
Yuchao Jiang, Cheng Luo, Jijun Wang, Lena Palaniyappan, Xiao Chang, Shitong Xiang, Jie Zhang, Mingjun Duan, Huan Huang, Christian Gaser, Kiyotaka Nemoto, Kenichiro Miura, Ryota Hashimoto, Lars T. Westlye, Genevieve Richard, Sara Fernandez-Cabello, Nadine Parker, Ole A. Andreassen, Tilo Kircher, Igor Nenadić, Frederike Stein, Florian Thomas-Odenthal, Lea Teutenberg, Paula Usemann, Udo Dannlowski, Tim Hahn, Dominik Grotegerd, Susanne Meinert, Rebekka Lencer, Yingying Tang, Tianhong Zhang, Chunbo Li, Weihua Yue, Yuyanan Zhang, Xin Yu, Enpeng Zhou, Ching-Po Lin, Shih-Jen Tsai, Amanda L. Rodrigue, David Glahn, Godfrey Pearlson, John Blangero, Andriana Karuk, Edith Pomarol-Clotet, Raymond Salvador, Paola Fuentes-Claramonte, María Ángeles Garcia-León, Gianfranco Spalletta, Fabrizio Piras, Daniela Vecchio, Nerisa Banaj, Jingliang Cheng, Zhening Liu, Jie Yang, Ali Saffet Gonul, Ozgul Uslu, Birce Begum Burhanoglu, Aslihan Uyar Demir, Kelly Rootes-Murdy, Vince D. Calhoun, Kang Sim, Melissa Green, Yann Quidé, Young Chul Chung, Woo-Sung Kim, Scott R. Sponheim, Caroline Demro, Ian S. Ramsay, Felice Iasevoli, Andrea de Bartolomeis, Annarita Barone, Mariateresa Ciccarelli, Arturo Brunetti, Sirio Cocozza, Giuseppe Pontillo, Mario Tranfa, Min Tae M. Park, Matthias Kirschner, Foivos Georgiadis, Stefan Kaiser, Tamsyn E. Van Rheenen, Susan L. Rossell, Matthew Hughes, William Woods, Sean P. Carruthers, Philip Sumner, Elysha Ringin, Filip Spaniel, Antonin Skoch, David Tomecek, Philipp Homan, Stephanie Homan, Wolfgang Omlor, Giacomo Cecere, Dana D. Nguyen, Adrian Preda, Sophia I. Thomopoulos, Neda Jahanshad, Long-Biao Cui, Dezhong Yao, Paul M. Thompson, Jessica A. Turner, Theo G. M. van Erp, Wei Cheng, ENIGMA Schizophrenia Consortium, Jianfeng Feng, ZIB Consortium
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Machine learning can be used to define subtypes of psychiatric conditions based on shared biological foundations of mental disorders. Here we analyzed cross-sectional brain images from 4,222 individuals with schizophrenia and 7038 healthy su
Externí odkaz:
https://doaj.org/article/76bdd81832814fb8a0f1d01e09c35de4
Autor:
Danyang Li, Oliver Pain, Chiara Fabbri, Win Lee Edwin Wong, Chris Wai Hang Lo, Stephan Ripke, Annamaria Cattaneo, Daniel Souery, Mojca Z. Dernovsek, Neven Henigsberg, Joanna Hauser, Glyn Lewis, Ole Mors, Nader Perroud, Marcella Rietschel, Rudolf Uher, Wolfgang Maier, Bernhard T. Baune, Joanna M. Biernacka, Guido Bondolfi, Katharina Domschke, Masaki Kato, Yu-Li Liu, Alessandro Serretti, Shih-Jen Tsai, Richard Weinshilboum, the GSRD Consortium, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Andrew M. McIntosh, Cathryn M. Lewis
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Cytochrome P450 enzymes including CYP2C19 and CYP2D6 are important for antidepressant metabolism and polymorphisms of these genes have been determined to predict metabolite levels. Nonetheless, more evidence is needed to understand the impac
Externí odkaz:
https://doaj.org/article/78b6105acfec40b1aa485bf11a65c749