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Neg-entropy is the true drug target for chronic diseases
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Acta Pharmaceutica Sinica B | 2026, 16(1) : 231 - 238
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Acta Pharmaceutica Sinica B | 2026, 16(1): 231-238
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Neg-entropy is the true drug target for chronic diseases
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Rui Li1, Tian-Le Gao2, Gang Ren1, Lu-Lu Wang1, Jian-Dong Jiang1,2
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    1 Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100050, China;
    2 Institute of Materia Medica, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100050, China
doi: 10.1016/j.apsb.2025.11.026
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Molecular mechanisms of chronic diseases are complicated, and it impedes drug target identification and subsequent drug discovery. We consider entropy increase in human body the root causes of chronic diseases. Accordingly, the inherent neg-entropic mechanisms, for instance the homeostatic mechanisms for metabolism, immunity, self-healing, etc., are true drug targets. Only very few molecules (such as proteins) are decisive for neg-entropy related functions, thus they are termed “head goose molecules” (HGMs) here. Identification of HGMs is key to activating neg-entropic mechanism(s), and drug intervention of the HGMs’ functions might reprogram the disease process through a neg-entropy mediated drug cloud (dCloud) effect, resulting in a treatment of both symptoms and root causes of the diseases. Thus, we recommend, for the first time, the “HGMs-neg-entropy-dCloud” axis as an important strategy for discovering new drugs. Clinically proven effective drugs that target HGMs are given as examples to illustrate the concept. Different from most of the single-target drugs that interrupt disease signal pathway(s), neg-entropy drugs treat chronic diseases through converting disorderliness to orderliness in the body of patients. We hope it to be helpful in future drug discovery for chronic diseases.
Entropy  /  Neg-entropy  /  Head goose molecules  /  Drug cloud
Rui Li, Tian-Le Gao, Gang Ren, Lu-Lu Wang, Jian-Dong Jiang. Neg-entropy is the true drug target for chronic diseases[J]. Acta Pharmaceutica Sinica B, 2026 , 16 (1) : 231 -238 . DOI: 10.1016/j.apsb.2025.11.026
Year 2026 volume 16 Issue 1
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doi: 10.1016/j.apsb.2025.11.026
  • Receive Date:2025-08-22
  • Online Date:2026-09-17
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  • Received:2025-08-22
  • Revised:2025-11-02
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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