Precision Genomics: A Reality Having Universal Impact in a New Era of Psychiatry - Lessons Learned, Past and Present.

Journal of addiction psychiatry Pub Date : 2025-01-01 Epub Date: 2025-08-29 DOI:10.17756/jap.2025-050
Kenneth Blum, Alireza Sharafshah, Jag Khalsa, Kai Uwe-Lewandrowski, Kavya Mohankumar, Panayotis K Thanos, Albert Pinhasov, David Baron, Catherine A Dennen, Joseph J Morgan, Marco Lindenau, Igor Elman, Eliot L Gardner, Mark S Gold, Edward J Modestino, Fuehrlein Brian, Paul R Carney, Rene Cortese, Abdalla Bowirrat, Margaret A Madigan, Keerthy Sunder, Morgan P Lorio, Foojan Zeine, Nicole Jafari, Milan T Makale, Debasis Bagchi, Mauro Ceccanti, Rossano K A Fiorelli, Sérgio Luís Schimidt, Daniel Sipple, Alexander P L Lewandrowski, Gianni Matare, Shaurya Mahajan, Yatharth Mahajan, Colin Hanna, Daniel Gastelu, Anand Swaroop, Chynna Fliegelman, Rajendra D Badgaiyan
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引用次数: 0

Abstract

Addiction neuroscience explores the complex interplay between genetic, neurobiological, environmental, and socio-spiritual factors underlying substance and behavioral addictions. Over the past three decades, research in this domain has identified critical molecular and epigenetic mechanisms-particularly those affecting dopaminergic signaling and reward pathways-that contribute to both vulnerability and resilience to addictive behaviors. Central to this understanding is the concept of reward deficiency syndrome (RDS), first introduced by Kenneth Blum, which posits that hypodopaminergic functioning predisposes individuals to seek maladaptive rewards. Advances in neurogenetics, including the identification of key polymorphisms such as the DRD2 A1 allele, have paved the way for precision tools like the genetic addiction risk severity (GARS®) test. This test, alongside pro-dopaminergic nutraceutical interventions like KB220, demonstrates the potential for early detection and individualized treatment of "pre-addiction" risk states. Despite ongoing reliance on opioids for opioid use disorder (OUD), emerging paradigms advocate for dopamine homeostasis through non-addictive, integrative approaches. Furthermore, the integration of whole genome sequencing data can be used for Genome-Wide Association Studies (GWAS), multi-omics, and machine learning into clinical practice holds promise for advancing personalized medicine in addiction treatment. As the field progresses, addressing health equity and improving genomic representation across populations remain critical goals. This evolving framework underscores the importance of leveraging genomic insights to prevent, predict, and personalize interventions for addiction and mental illness at scale.

Abstract Image

精确基因组学:在精神病学新时代具有普遍影响的现实-过去和现在的经验教训。
成瘾神经科学探索物质和行为成瘾背后的遗传、神经生物学、环境和社会精神因素之间复杂的相互作用。在过去的三十年里,这一领域的研究已经确定了关键的分子和表观遗传机制,特别是那些影响多巴胺能信号传导和奖励途径的机制,这些机制有助于成瘾行为的脆弱性和复原性。这种理解的核心是奖励缺乏综合征(RDS)的概念,该概念首先由Kenneth Blum提出,它假设低多巴胺能功能使个体倾向于寻求不适应的奖励。神经遗传学的进步,包括对DRD2 A1等位基因等关键多态性的识别,为遗传成瘾风险严重程度(GARS®)测试等精密工具铺平了道路。这项测试,以及像KB220这样的亲多巴胺能营养干预,证明了早期发现和个性化治疗“成瘾前”风险状态的潜力。尽管阿片类药物使用障碍(OUD)持续依赖阿片类药物,但新兴范式主张通过非成瘾性综合方法实现多巴胺稳态。此外,全基因组测序数据的整合可以用于全基因组关联研究(GWAS)、多组学和机器学习到临床实践中,这为推进成瘾治疗的个性化药物提供了希望。随着这一领域的进展,解决卫生公平问题和改善不同人群的基因组代表性仍然是关键目标。这一不断发展的框架强调了利用基因组见解来大规模预防、预测和个性化成瘾和精神疾病干预措施的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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