Smolen Paul, Baxter Douglas A, Byrne John H
Department of Neurobiology and Anatomy, W.M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, USA.
Biophys J. 2006 Apr 15;90(8):2760-75. doi: 10.1529/biophysj.105.072470. Epub 2006 Jan 13.
The induction of late long-term potentiation (L-LTP) involves complex interactions among second-messenger cascades. To gain insights into these interactions, a mathematical model was developed for L-LTP induction in the CA1 region of the hippocampus. The differential equation-based model represents actions of protein kinase A (PKA), MAP kinase (MAPK), and CaM kinase II (CAMKII) in the vicinity of the synapse, and activation of transcription by CaM kinase IV (CAMKIV) and MAPK. L-LTP is represented by increases in a synaptic weight. Simulations suggest that steep, supralinear stimulus-response relationships between stimuli (e.g., elevations in [Ca(2+)]) and kinase activation are essential for translating brief stimuli into long-lasting gene activation and synaptic weight increases. Convergence of multiple kinase activities to induce L-LTP helps to generate a threshold whereby the amount of L-LTP varies steeply with the number of brief (tetanic) electrical stimuli. The model simulates tetanic, -burst, pairing-induced, and chemical L-LTP, as well as L-LTP due to synaptic tagging. The model also simulates inhibition of L-LTP by inhibition of MAPK, CAMKII, PKA, or CAMKIV. The model predicts results of experiments to delineate mechanisms underlying L-LTP induction and expression. For example, the cAMP antagonist RpcAMPs, which inhibits L-LTP induction, is predicted to inhibit ERK activation. The model also appears useful to clarify similarities and differences between hippocampal L-LTP and long-term synaptic strengthening in other systems.
晚期长时程增强(L-LTP)的诱导涉及第二信使级联反应之间的复杂相互作用。为了深入了解这些相互作用,我们建立了一个用于海马体CA1区L-LTP诱导的数学模型。基于微分方程的模型描述了蛋白激酶A(PKA)、丝裂原活化蛋白激酶(MAPK)和钙调蛋白激酶II(CAMKII)在突触附近的作用,以及钙调蛋白激酶IV(CAMKIV)和MAPK对转录的激活。L-LTP通过突触权重的增加来表示。模拟结果表明,刺激(如[Ca(2+)]升高)与激酶激活之间陡峭的、超线性的刺激-反应关系对于将短暂刺激转化为持久的基因激活和突触权重增加至关重要。多种激酶活性的汇聚以诱导L-LTP有助于产生一个阈值,由此L-LTP的量随短暂(强直)电刺激的数量急剧变化。该模型模拟了强直、爆发、配对诱导和化学L-LTP,以及由于突触标记引起的L-LTP。该模型还模拟了通过抑制MAPK、CAMKII、PKA或CAMKIV对L-LTP的抑制作用。该模型预测了旨在阐明L-LTP诱导和表达潜在机制的实验结果。例如,预测抑制L-LTP诱导的cAMP拮抗剂RpcAMPs会抑制ERK激活。该模型似乎也有助于阐明海马体L-LTP与其他系统中长时程突触增强之间的异同。