多器官功能障碍综合征的混沌动力学过程和中药参芩液对其调控作用

Chaotic Dynamic Process of Multiple Organs Dysfunction Syndrome and the Regulatory Function of Shenqin Liquid on It

目的探讨多器官功能障碍综合征(MODS)混沌动力学过程,以及中药通腑益气方剂参芩液对其调控作用。方法80只SD大鼠分为4组,每组20只,除空白组外按1mL/kg剂量腹腔注射造模混悬液,建立MODS动物模型,中药参芩液低、高剂量组每次按30g/kg、60g/kg体重分别灌胃给药,于造模前1天间隔8h共给药2次。于造模前12h、6h,造模时及造模后6h、12h按时序取样,用放免法检测各组肿瘤坏死因子α(TNF-α),用比色法测定一氧化氮(NO)的血清浓度。用室分析的方法建立数学模型,计算出各数学模型的李雅普诺夫指数(LE),评价其混沌运动的特性并通过计算关联维数(CD)来确定混沌程度。结果造模时、造模后6h和12h模型组血清TNF-α和NO高于空白组(P<0.01),相同时刻中药参芩液低、高剂量组TNF-α和NO低于模型组(P<0.01),相同时刻中药参芩液高剂量组NO低于低剂量组(P<0.01)。空白组的TNF-α运动的CD是0.803,LE<0;模型组CD是1.966,LE>0;低剂量组和高剂量组CD分别是0.517和0.653,LE均>0。空白组的NO的运动的CD是0.670,LE<0;模型组CD是1.242,LE>0;低剂量组和高剂量组CD分别是0.574和0.850,LE均<0。结论在正常生理状态下,TNF-α和NO的运动平稳,未表现出混沌特性;在MODS病理状态下,TNF-α和NO表现出比较复杂的混沌运动。中药通腑益气方剂参芩液可以干预MODS状态下的TNF-α和NO的运动,减低其混沌运动的复杂程度,使其回归平稳状态。

Objective To explore the chaotic dynamic process of multiple organs dysfunction syndrome （MODS） and the regulatory effect of Shenqin Liquid （SQL） , a Chinese herbal liquid preparation with the action of purging and qi-tonifying. Methods Eighty SD rats were divided into 4 groups, and were given suspension of zymosan A and paraffine （ 1 mL/kg） by peritoneal injection except for those in the blank control group to set up the multiple organs dysfunction syndrome （MODS） model. Low and high doses SQL were administered twcie at the doses of 30 and 60 g/kg of SQL respectively at an interval of 8 h per day before modeling. Serum concentration of tumor necrosis factor α （TNF-α） and nitric oxide （NO） in MODS model animals were tested diachronically, eg. 12, 6 h before modeling, during modeling, 6 and 12 h after modeling, and then the mathematic models were built up with compartment analysis. Lyapunov exponents （LE） of the mathematic models were calculated to evaluate their chaotic characteristics of movement and the degree of chaos was ascertained with the correlation dimension （CD）. Results The serum levels of TNF-α and NO were significantly higher than those in the bland control group at modeling, 6, and 12 h after modeling （P 〈0.01 ）, while those in the low and high doses of SQL were significantly lower than the model group （P 〈0. 01 ）. Moreover, the level of NO in the high dose of SQL was significantly lower than that in the low dose group （P 〈0. 01 ）. CD of TNF-α movement in the blank control group was 0. 803 with the LE less than zero; those in the model group was 1. 966 and 〉 0 respectively; in the low dose and high dose SQL treated groups, CD was 0. 517 and 0. 653 respectively and LE 〉0. CD of NO movement in the blank control group was 0. 670 and with LE 〈 0; in the model group, 1. 242 with LE 〉 0; in the low dose SQL group,0. 574 and in the high dose SQL group 0. 850, and LE 〈 0 in the two groups. Conclusion Under the normal physiologic condition, TNF-α and NO moved steadily without chaotic properties; while under the pathologic condition of MODS, they manifest relatively complicated chaotic properties. SQL can intervene the movement of TNF-α and NO, decrease the complexity of their chaotic movement, and make them return back to a stable state.