Mattiussi Claudio
Acta Biotheor. 2013 Jun;61(2):223-58. doi: 10.1007/s10441-013-9180-x. Epub 2013 Mar 3.
In an instant classic paper (Lazebnik, in Cancer Cell 2(3); 2002: 179-182) biologist Yuri Lazebnik deplores the poor effectiveness of the approach adopted by biologists to understand and "fix" biological systems. Lazebnik suggests that to remedy this state of things biologist should take inspiration from the approach used by engineers to design, understand, and troubleshoot technological systems. In the present paper I substantiate Lazebnik's analysis by concretely showing how to apply the engineering approach to biological problems. I use an actual example of electronic circuit troubleshooting to ground the thesis that, in engineering, the crucial phases of any non-trivial troubleshooting process are aimed at generating a mechanistic explanation of the functioning of the system, which makes extensive recourse to problem-driven qualitative reasoning possibly based on cognitive artifacts applied to systems that are known to have been designed for function. To show how to translate these findings into biological practice I consider a concrete example of biological model building and "troubleshooting", aimed at the identification of a "fix" for the human immune system in presence of progressing cancer, autoimmune disease, and transplant rejection. The result is a novel immune system model--the danger model with regulatory cells--and new, original hypotheses concerning the development, prophylaxis, and therapy of these unwanted biological processes. Based on the manifest efficacy of the proposed approach, I suggest a refocusing of the activity of theoretical biologists along the engineering-inspired lines illustrated in the paper.
在一篇堪称经典的论文中(尤里·拉泽布尼克,《癌细胞》第2卷第3期,2002年:第179 - 182页),生物学家尤里·拉泽布尼克对生物学家为理解和“修复”生物系统所采用方法的低效表示遗憾。拉泽布尼克认为,为纠正这种状况,生物学家应从工程师设计、理解和排除技术系统故障所采用的方法中汲取灵感。在本文中,我通过具体展示如何将工程方法应用于生物学问题来证实拉泽布尼克的分析。我以电子电路故障排除的一个实际例子为依据,提出这样一个论点:在工程领域,任何复杂故障排除过程的关键阶段都旨在对系统的运行产生一种机制性解释,这大量借助了问题驱动的定性推理,可能基于应用于已知为功能而设计的系统的认知工件。为说明如何将这些发现转化为生物学实践,我考虑了一个生物模型构建和“故障排除”的具体例子,旨在为处于癌症进展、自身免疫性疾病和移植排斥状态下的人体免疫系统确定一种“修复”方法。结果是一个新的免疫系统模型——带有调节细胞的危险模型,以及关于这些不良生物过程的发生、预防和治疗的新的、原创性假设。基于所提出方法明显的有效性,我建议理论生物学家的活动应按照本文所阐述的受工程启发的思路重新聚焦。