期刊
INFLAMMATION RESEARCH
卷 64, 期 10, 页码 747-752出版社
SPRINGER BASEL AG
DOI: 10.1007/s00011-015-0851-8
关键词
Multi-target; Inflammation; Pleiotropism; Natural product; AMPK; Nrf2; Evolutionary
资金
- Govt. of India, Department of Science and Technology-Inspire Fellowship
- Manipal University
Inflammation is a complex, metabolically expensive process involving multiple signaling pathways and regulatory mechanisms which have evolved over evolutionary timescale. Addressing multiple targets of inflammation holistically, in moderation, is probably a more evolutionarily viable strategy, as compared to current therapy which addresses drug targets in isolation. Polypharmacology, addressing multiple targets, is commonly used in complex ailments, suggesting the superior safety and efficacy profile of multi-target (MT) drugs. Phenotypic drug discovery, which generated successful MT and first-in-class drugs in the past, is now re-emerging. A multi-pronged approach, which modulates the evolutionarily conserved, robust and pervasive cellular mechanisms of tissue repair, with AMPK at the helm, regulating the complex metabolic/immune/redox pathways underlying inflammation, is perhaps a more viable strategy than addressing single targets in isolation. Molecules that modulate multiple molecular mechanisms of inflammation in moderation (modulating T-H cells toward the anti-inflammatory phenotype, activating AMPK, stimulating Nrf2 and inhibiting NF kappa B) might serve as a model for a novel Darwinian first-in-class therapeutic category that holistically addresses immune, redox and metabolic processes associated with inflammatory repair. Such a multimodal biological activity is supported by the fact that several non-calorific pleiotropic natural products with anti-inflammatory action have been incorporated into diet (chiefly guided by the adaptive development of olfacto-gustatory preferences over evolutionary timescales) rendering such molecules, endowed with evolutionarily privileged molecular scaffolds, naturally oriented toward multiple targets.
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