生物熵在药物研究中的应用

郭慧慧, 高天乐, 马晓蕾, 铁偲, 蒋建东

中国药学杂志 ›› 2025, Vol. 60 ›› Issue (3) : 209-213.

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中国药学杂志 ›› 2025, Vol. 60 ›› Issue (3) : 209-213. DOI: 10.11669/cpj.2025.03.001
综述

生物熵在药物研究中的应用

  • 郭慧慧1, 高天乐1, 马晓蕾1, 铁偲2, 蒋建东1,3*
作者信息 +

Application of Bio-entropy in Drug Evaluation

  • GUO Huihui1, GAO Tianle1, MA Xiaolei1, TIE Cai2, JIANG Jiandong1,3*
Author information +
文章历史 +

摘要

熵是一个源于物理学的概念,表示物质紊乱的程度。熵增定律是揭示事物消亡的自然规律。在生物学领域,也可用熵来度量生命活动过程中的质量,一般来说,生物熵越低越好。生命体依赖其自组织、防御、自愈、抗磨损和适应等负熵能力来对抗熵增,从而逆转疾病抵抗衰老,保持健康。而药物治疗的实质是作为外部干预的力量,通过增强以上某种或几种能力,产生负熵效应,协助机体恢复至有序状态。笔者探讨了生物熵在药物研究中的应用,期望未来能够利用生物熵更正确地认识药物靶点、解释药物作用机制、设计新药以及科学地评估药物(包括中药)的疗效及安全性。

Abstract

The concept of entropy is originated from physics which represents a degree of disorder. Entropy increase is a natural law for extinction of things. In the field of life science, entropy could be used to measure the quality of life. Organisms utilize their inherent negative entropy mechanisms of self-organization, defense, self-healing, wear resistance, and adaptability to counteract entropy increase, and thus to cure various diseases and curb aging processes, while maintaining optimal health. As an external intervention, good drugs could trigger negative entropy mechanisms by enhancing one or more of the above machineries, thus assist the body to recover. This article explores the potential applications of biological entropy in drug discovery research, aiming to leverage its power in the future for a good understanding of drug targets, elucidation of drug mechanisms, rational design of novel drugs and rigorous evaluation of drug efficacy, especially pertinent to multi-target drugs.

关键词

生物熵 / 高度有序 / 生理信号熵 / 中药 / 药效评价

Key words

bio-entropy / highly ordered structure / physiological signal entropy / traditional Chinese medicine / efficacy evaluation

引用本文

导出引用
郭慧慧 , 高天乐 , 马晓蕾 , 铁偲 , 蒋建东. 生物熵在药物研究中的应用[J]. 中国药学杂志, 2025, 60(3): 209-213 https://doi.org/10.11669/cpj.2025.03.001
GUO Huihui , GAO Tianle , MA Xiaolei , TIE Cai , JIANG Jiandong. Application of Bio-entropy in Drug Evaluation[J]. Chinese Pharmaceutical Journal, 2025, 60(3): 209-213 https://doi.org/10.11669/cpj.2025.03.001
中图分类号: R966   

参考文献

[1] ZHANG D. Application of biological entropy in medical research[J]. J Math Med (数理医药学杂志), 2008, 22(1): 86-87.
[2] WANG Z. The entropy perspective on human illness and aging[J]. Engineering, 2022, 9: 22-26.
[3] CHEN C, JIN Y, LO I L, et al. Complexity change in cardiovascular disease[J]. Int J Biol Sci, 2017, 13(10): 1320-1328.
[4] ZOU Y, WANG H M, LI H Y. Discussion of biological entropy[J]. J Yulin Coll (榆林学院学报), 2007, 17(4): 48-49.
[5] GAO T L, GUO H H, JIANG J J. Neg-entropy mechanism as a target for natural medicines[J]. Engineering, 2024, 38: 11-12.
[6] BRAAKMAN R, FOLLOWS M J, CHISHOLM S W. Metabolic evolution and the self-organization of ecosystems[J]. Proc Natl Acad Sci USA, 2017, 114(15): 3091-3100.
[7] WANG L, WHITTEMORE K, JOHNSTON S A, et al. Entropy is a simple measure of the antibody profile and is an indicator of health status: a proof of concept[J]. Sci Rep, 2017, 7(1): 18060.
[8] CARUSILLO A, MUSSOLINO C. DNA Damage: from threat to treatment[J]. Cells, 2020, 9(7): 1665.
[9] WANG M, KAUFMAN R J. Protein misfolding in the endoplasmic reticulum as a conduit to human disease[J]. Nature, 2016, 529(7586): 326-335.
[10] MCEWEN B S. Stress, adaptation, disaese. Allostasis and allostatic load[J]. Ann N Y Acad Sci, 1998, 840: 33-44.
[11] NOGUEIRA I M, JR E F C, COSTA A O S. Entropic analysis of human body's longevity as a function of physical activity level[J]. An Acad Bras Cienc, 2023, 95(Suppl.1):e20220657.
[12] AVERNA A, COELLI S, FERRARA R, et al. Entropy and fractal analysis of brain-related neurophysiological signals in Alzheimer's and Parkinson's disease[J]. J Neural Eng, 2023, 20(5): 051001.
[13] LIU R, CHEN P, CHEN L. Single-sample landscape entropy reveals the imminent phase transition during disease progression[J]. Bioinformatics, 2020, 36(5): 1522-1532.
[14] KHATTAK S S, SAMAN G, KHAN I, et al. Maximum entropy based image segmentation of human skin lesion[J]. World Acad Sci Eng Technol, 2015, 9(5): 1094-1098.
[15] CHEN Y, PHAM T D. Sample entropy and regularity dimension in complexity analysis of cortical surface structure in early Alzheimer's disease and aging[J]. J Neurosci Methods, 2013, 215(2): 210-217.
[16] WU H T, HSU P C, LIN C F, et al. Multiscale entropy analysis of pulse wave velocity for assessing atherosclerosis in the aged and diabetic[J]. IEEE Trans Biomed Eng, 2011, 58(10): 2978-2981.
[17] GAPELYUK A, SCHIRDEWAN A, FISCHER R, et al. Cardiac magnetic field mapping quantified by Kullback-Leibler entropy detects patients with coronary artery disease[J]. Physiol Meas, 2010, 31(10): 1345-1354.
[18] WANG J, NING X, LI J, et al. Multiscale entropy analysis of electrocardiogram[J]. J Biomed Eng (生物医学工程学杂志), 2007, 24(5): 978-980.
[19] ACHARYA U R, FAUST O, SREE V, et al. Linear and nonlinear analysis of normal and CAD-affected heart rate signals[J]. Comput Methods Prog Biomed, 2014, 113(1): 55-68.
[20] PIVATELLI F C, DOS SANTOS M A, FERNANDES G B, et al. Sensitivity, specificity and predictive values of linear and nonlinear indices of heart rate variability in stable angina patients[J]. Int Arch Med, 2012, 5(1): 31.
[21] GUO R, WANG Y Q, YAN J J, et al. Study of traditional Chinese medicine pulse signals in patients with coronary heart disease based on recurrence quantification analysis[J]. Chin J Integr Med (中西医结合学报), 2011, 9(11): 1226-1233.
[22] GUO R, WANG Y, YAN H, et al. Analysis and recognition of traditional Chinese medicine pulse based on the hilbert-huang transform and Random forest in patients with coronary heart disease[J]. Evid Based Complement Altern Med, 2015, 2015: 895749.
[23] MA T, TIAN X, ZHANG B, et al. Low-dose metformin targets the lysosomal AMPK pathway through PEN2[J]. Nature, 2022, 603(7899): 159-165.
[24] FENG J, WANG X, YE X, et al. Mitochondria as an important target of metformin: the mechanism of action, toxic and side effects, and new therapeutic applications[J]. Pharmacol Res, 2022, 177: 106114.
[25] LU G, WU Z, SHANG J, et al. The effects of metformin on autophagy[J]. Biomed Pharmacother, 2021, 137: 111286.
[26] LI X Y, ZHAO Z X, HUANG M, et al. Effect of berberine on promoting the excretion of cholesterol in high-fat diet-induced hyperlipidemic hamsters[J]. J Transl Med, 2015, 13: 278.
[27] GUO H H, MA C, ZHENG W S, et al. Dual-stimuli-responsive gut microbiota-targeting berberine-CS/PT-NPs improved metabolic status in obese hamsters[J]. Adv Funct Mater, 2019, 29(14): 1808197.
[28] QI H, SUN Z, GAO T, et al. Genetic fusion of CCL11 to antigens enhances antigenicity in nucleic acid vaccines and eradicates tumor mass through optimizing T-cell response[J]. Mol Cancer, 2024, 23(1): 46.
[29] HOLE J, HIRSCH M, BALL E, et al. Music as an aid for postoperative recovery in adults: a systematic review and Meta-analysis[J]. Lancet, 2015, 386(10004): 1659-1671.
[30] STEGINK S, ELLIOTT A M, BURTON C. Statistical complexity of reasons for encounter in high users of out of hours primary care: analysis of a national service[J]. BMC Health Serv Res, 2019, 19(1): 108.
[31] GUO H H, SHEN H R, WANG L L, et al. Berberine is a potential alternative for metformin with good regulatory effect on lipids in treating metabolic diseases[J]. Biomed Pharmacother, 2023, 163:114754.
[32] ZHANG H, WEI J, XUE R, et al. Berberine lowers blood glucose in type 2 diabetes mellitus patients through increasing insulin receptor expression[J]. Metabolism, 2010, 59(2): 285-292.
[33] SHEPHERD J, JONES J, FRAMPTON G, et al. Clinical effectiveness and cost-effectiveness of depth of anaesthesia monitoring (E-entropy, bispectral index and narcotrend): a systematic review and economic evaluation[J]. Health Technol Assess, 2013, 17(34): 1-264.
[34] PIANTADOSI S. Translational clinical trials: an entropy-based approach to sample size[J]. Clin Trials, 2005, 2(2): 182-192.
[35] CHEN L J, JIANG A H, YU J H, et al. Clinical study of entropy index monitoring guidling propofol and remifentanil anesthesia by target-controlled infusion[J]. Shanxi Med J (山西医药杂志), 2013, 42(7): 729-732.
[36] SUN R Y, NIE J W, SHEN W S, et al. Correlation between entropy index and ramasy score in Sedation evaluation of critically III children[J]. Mod Diagn Treat (现代诊断与治疗), 2023, 34(10): 1423-1425,1508.
[37] KONG W J, VERNIERI C, FOIANI M, et al. Berberine in the treatment of metabolism-related chronic diseases: a drug cloud(dCloud) effect to target multifactorial disorders[J]. Pharmacol Ther, 2020, 209: 107496.

基金

国家自然科学基金项目资助(82104254,82374061);中国工程院战略研究与咨询项目资助(2023-XZ-88)
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