McCowan Brenda, Beisner Brianne, Bliss-Moreau Eliza, Vandeleest Jessica, Jin Jian, Hannibal Darcy, Hsieh Fushing
Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, DavisDavis, CA, USA; California National Primate Research Center, University of California, DavisDavis, CA, USA.
Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, DavisDavis, CA, USA; California National Primate Research Center, University of California, DavisDavis, CA, USA; Department of Psychiatry and Behavioral Sciences, University of California, DavisDavis, CA, USA.
Front Psychol. 2016 Apr 22;7:433. doi: 10.3389/fpsyg.2016.00433. eCollection 2016.
Humans live in societies full of rich and complex relationships that influence health. The ability to improve human health requires a detailed understanding of the complex interplay of biological systems that contribute to disease processes, including the mechanisms underlying the influence of social contexts on these biological systems. A longitudinal computational systems science approach provides methods uniquely suited to elucidate the mechanisms by which social systems influence health and well-being by investigating how they modulate the interplay among biological systems across the lifespan. In the present report, we argue that nonhuman primate social systems are sufficiently complex to serve as model systems allowing for the development and refinement of both analytical and theoretical frameworks linking social life to health. Ultimately, developing systems science frameworks in nonhuman primate models will speed discovery of the mechanisms that subserve the relationship between social life and human health.
人类生活在充满丰富而复杂关系的社会中，这些关系会影响健康。改善人类健康的能力需要详细了解促成疾病过程的生物系统之间复杂的相互作用，包括社会环境对这些生物系统产生影响的潜在机制。纵向计算系统科学方法提供了独特的方法，适合通过研究社会系统如何在整个生命周期中调节生物系统之间的相互作用，来阐明社会系统影响健康和幸福的机制。在本报告中，我们认为非人类灵长类动物的社会系统足够复杂，可以作为模型系统，用于开发和完善将社会生活与健康联系起来的分析和理论框架。最终，在非人类灵长类动物模型中开发系统科学框架将加速发现支撑社会生活与人类健康之间关系的机制。
