细胞的力学智能

程波; 卢梦楠; 贾渊博; 徐峰

doi:10.6052/1000-0992-24-028

细胞的力学智能

doi: 10.6052/1000-0992-24-028 cstr: 32046.14.1000-0992-24-028

程波^{1, 2},
卢梦楠^{1, 2},
贾渊博^{2, 3, 4},
徐峰^{1, 2, ,}

1.
西安交通大学生命科学与技术学院生物医学信息工程教育部重点实验室, 西安710049
2.
西安交通大学生命科学与技术学院仿生工程与生物力学研究所(BEBC), 西安710049
3.
西安交通大学第二附属医院移植外科, 西安710049
4.
西安交通大学外科重症与生命支持教育部重点实验室, 西安710049

基金项目: 国家自然科学基金 (12002262, 12225208, 12432015)

详细信息

作者简介:
程波, 西安交通大学生命科学与技术学院副教授. 致力于研究生物膜系统相互作用的物理机制和应用, 为疾病的发病机制、预防和治疗提供重要的理论基础. 研究成果以一作/通讯身份 (包含共同) 发表于国际知名期刊《Nature Materials》(2022), 《Science Advances》(2020), 《Cell Discovery》(2022)及生物物理学旗舰期刊《Biophysical Journal》 (2016, 2019, 2023, 2024)等, 4篇论文被《Science Advances》《Biophysical Journal》等杂志选为当期封面论文. 获陕西高等学校科学技术奖一等奖1项, 陕西省高等教育 (研究生) 教学成果奖一等奖1项

徐峰, 西安交通大学生命学院教授、生物医学信息教育部重点实验室主任、国家医学攻关产教融合平台 (医工方向) 智慧诊断技术及装备中心主任、西安市生物热-力-电多尺度耦合工程重点实验室主任. 作为第一/通讯作者在Nat Chem、PNAS、Nat Commu、Matter、Chem Rev、Prog Mater Sci、Mat Sci Eng R、Adv Mater、ACS Nano等国际高影响力期刊以及J Mech Phys Solids、Appl Mech Rev、Adv Appl Mech、J Biomech、J Fluid Mech等国际著名力学期刊发表350余篇期刊论文; 获授权发明专利60余项, 引用指数因子H = 95. 获“国家自然科学奖”二等奖、“教育部科学技术奖”一等奖、“中华医学科技奖”一等奖、“陕西省高等学校科学技术奖”一等奖等多项奖项. 并先后获得“中国力学青年科技奖” (2017, 同年全国仅4人)、“陕西青年科技标兵” (2016)、“陕西青年科技奖” (2016) 等科技奖, 以及陕西省“五四青年奖章” (2016)、“庆祝中华人民共和国成立70周年纪念章” (2019) 等个人荣誉, 入选“全球前2%顶尖科学家榜单” (2020—2022)、科睿唯安“全球高被引科学家 (交叉学科)” (2021—2023) 和爱思唯尔“中国高被引学者” (2023). 先后入选中组部“青年千人计划”、国家自然科学基金委“优秀青年基金”和“杰出青年基金”支持计划、陕西省“百人计划”、教育部“新世纪优秀人才”支持计划、享受国务院特殊津贴专家

通讯作者:
fengxu@mail.xjtu.edu.cn

中图分类号: Q
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出版历程
- 录用日期: 2025-01-11
- 网络出版日期: 2025-01-13

Cellular mechanical intelligence

CHENG Bo^{1, 2},
LU Mengnan^{1, 2},
JIA Yuanbo^{2, 3, 4},
XU Feng^{1, 2
, ,}

1.
The Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049
2.
Bioinspired Engineering and Biomechanics Center (BEBC), Xi’an Jiaotong University, Xi’an 710049
3.
Department of Transplant Surgery, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi 710004
4.
MOE Key Laboratory of Surgical Intensive Care and Life Support, Xi’an Jiaotong University, Xi’an, Shaanxi 710049

More Information

Corresponding author: fengxu@mail.xjtu.edu.cn

摘要

摘要: 生物智能行为特征, 如感知、记忆、学习、问题求解及决策等, 在人类、动物及具有神经系统的高等生物中普遍存在. 近期研究揭示, 单个细胞在与其微环境相互作用的过程中, 也表现出部分类似于人类智能的行为, 如“多模态感知” 、“问题求解” 、“学习记忆”及“演化适应”等. 细胞智能作为新提出的颠覆性理论概念, 其基本问题包括细胞智能的形成原理、群体细胞涌现群体智能行为机制及单细胞进化为多细胞生命的演化动力等. 随着生物力学及力生物学的发展, 大量研究表明细胞力学微环境对细胞生理行为具有重要影响. 在力学刺激作用下, 单个细胞同样表现出智能行为. 基于此, 本文提出了“细胞的力学智能”的概念, 从细胞力学感知、力学决策、力学记忆及力学学习等方面对智能行为特征进行了总结, 旨在为细胞力学智能的形成机制及其潜在应用方向 (如细胞智能医学) 提供新的思路与见解.
- 细胞的力学智能 /
- 细胞力学感知 /
- 细胞力学记忆 /
- 细胞力学学习 /
- 细胞智能医学
Abstract: Biological intelligence, which includes features such as perception, memory, learning, problem-solving and decision-making, is widely observed in humans, animals and other higher organisms with nervous systems. Recent studies have shown that single cells also exhibit behaviours that resemble human-like intelligence in their interactions with the microenvironment, such as “multimodal perception”, “problem solving”, “learning and memory”, and “evolutionary adaptation”. Cellular intelligence, as a newly proposed and disruptive theoretical concept, raises fundamental questions, including the principles underlying the emergence of cellular intelligence, the mechanisms by which collective cell behaviour emerges as collective intelligence, and the evolutionary drivers for single cells to evolve into multicellular life forms. As the fields of biomechanics and mechanobiology have advanced, numerous studies have demonstrated the significant influence of the mechanical microenvironment on cellular physiological behaviour. Under mechanical stimulation, even single cells exhibit intelligent behaviours similar to those observed in higher organisms. Based on this, the concept of “cellular mechanical intelligence” is proposed in this paper. We summarise the characteristics of intelligent behaviours in terms of mechanical perception, mechanical decision making, mechanical memory and mechanical learning, with the aim of providing new insights and perspectives on the mechanisms underlying cellular mechanical intelligence and its potential applications, such as in cellular intelligent medicine.
- cellular mechanical intelligence /
- cellular mechanical perception /
- cellular mechanical memory /
- cellular mechanical learning /
- cellular intelligent mechano-medicine
注释:

1) * 与第一作者同等贡献

HTML全文

图 1 细胞智能内涵

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图 2 人类、动物、植物和细胞智能演化及形成机制

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图 3 细胞学习机制

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图 4 细胞力学记忆的正反馈环路(PFL)模型. (a)PFL的双稳态模型, (b)细胞力学记忆的强度阈值和时间阈值示意图, (c)细胞力学记忆的PFL模型, (d)细胞力学记忆的PFL双稳态模型

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图 5 力学网络模体的持久性检测和一致性检测. (a)力学网络模体的持久性检测, (b)力学网络模体的一致性检测。FLP: 触觉感觉神经元; ASH: 化学感觉神经元; AVD: 运动神经中间神经元; AVA: 运动神经中间神经元

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