Department of Synthesis and Chemical Technology of Pharmaceutical Substances with Computer Modeling Laboratory, Faculty of Pharmacy, Medical University of Lublin, 4A Chodźki St., PL-20093 Lublin, Poland.
School of Pharmacy, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland.
Int J Mol Sci. 2023 Feb 2;24(3):2946. doi: 10.3390/ijms24032946.
Complex disorders, such as depression, remain a mystery for scientists. Although genetic factors are considered important for the prediction of one's vulnerability, it is hard to estimate the exact risk for a patient to develop depression, based only on one category of vulnerability criteria. Genetic factors also regulate drug metabolism, and when they are identified in a specific combination, may result in increased drug resistance. A proper understanding of the genetic basis of depression assists in the development of novel promising medications and effective disorder management schemes. This review aims to analyze the recent literature focusing on the correlation between specific genes and the occurrence of depression. Moreover, certain aspects targeting a high drug resistance identified among patients suffering from major depressive disorder were highlighted in this manuscript. An expected direction of future drug discovery campaigns was also discussed.
复杂的疾病,如抑郁症,仍然是科学家们的一个谜。虽然遗传因素被认为对预测一个人的易感性很重要,但仅根据一个脆弱性标准类别来估计患者发展为抑郁症的准确风险是很困难的。遗传因素也调节药物代谢,当它们以特定的组合被识别时,可能导致药物耐药性增加。对抑郁症遗传基础的正确理解有助于开发新的有前途的药物和有效的疾病管理方案。本综述旨在分析最近的文献,重点关注特定基因与抑郁症发生之间的相关性。此外,本文还强调了在患有重度抑郁症的患者中发现的某些高耐药性方面。还讨论了未来药物发现活动的预期方向。