Редактирование: NFKBIA (раздел)

==Publications==

{{medline-entry
|title=Analysis of molecular networks and targets mining of Chinese herbal medicines on anti-aging.
|pubmed-url=https://pubmed.ncbi.nlm.nih.gov/28031022
|abstract=Many kidney-tonifying Chinese herbal medicines exert effects on anti-aging by comprehensive interactions of multiple targets. However, the interactions of multi-targets targeted by effective ingredients of kidney-tonifying Chinese herbal medicines are unknown. In this study, to explore the systems pharmacology mechanisms of kidney-tonifying Chinese medicines on anti-aging, we establish the molecular networks with the interactions of multi-targets, analyze bio-functions and pathways with IPA, and calculated the mutual interaction pairs of targets (target pairs) with data mining, respectively. Kidney-tonifying Chinese medicines with anti-aging effects were screened from the Chinese Pharmacopoeia and the literatures. Target proteins of these herbal medicines were obtained from bioinformatics databases. Comparisons of molecular networks, bio-functions and pathways given by Ingenuity Pathway Analysis system showed the similarities and the differences between kidney Yin-tonifying herbal medicines and kidney Yang-tonifying herbal medicines. Target pairs with high correlation related to anti-aging were also discovered by data mining algorithm. And regulatory networks of targets were built based on the target pairs. Twenty-eight kidney-tonifying herbal medicines with anti-aging effects and 717 related target proteins were collected. The main bio-functions that all targets enriched in were "Cell Death and Survival", "Free Radical Scavenging" and "Cellular Movement", etc. The results of comparison analysis showed that kidney Yin-tonifying herbal medicines focused more on "Cancer related signaling", "Apoptosis related signaling" and "Cardiovascular related signaling". And kidney Yang-tonifying herbal medicines focused more on "Cellular stress and injury related signaling" and "Cellular growth, proliferation and development related signaling". Moreover, the results of regulatory network showed that the anti-aging related target pairs with high correlated degrees of Kidney Yin-tonifying herbal medicines included [[TNF]]-[[PTGS2]], [[TNF]]-[[CASP3]], [[PTGS2]]-[[CASP3]], [[CASP3]]-[[NOS2]] and [[TNF]]-[[NOS2]], and that of kidney Yang-tonifying herbal medicines included REAL-[[TNF]], REAL-[[NFKBIA]], REAL-[[JUN]], [[PTGS2]]-[[SOD1]] and [[TNF]]-[[IL6]]. In this study, we achieved some important targets, target pairs and regulatory networks with bioinformatics and data mining, to discuss the systems pharmacology mechanisms of kidney-tonifying herbal medicines acting on anti-aging. Mutual target pairs related to anti-aging found in this study included [[TNF]]-[[PTGS2]], [[TNF]]-[[CASP3]], [[PTGS2]]-[[CASP3]], [[CASP3]]-[[NOS2]], [[TNF]]-[[NOS2]], REAL-[[TNF]], REAL-[[NFKBIA]], REAL-[[JUN]], [[PTGS2]]-[[SOD1]] and [[TNF]]-[[IL6]]. Target pairs and regulatory networks of targets could reflect more potential interactions between targets and comprehensive effects on anti-aging. Compared with the existing researches, it was found that the kidney-tonifying herbal medicines may exert anti-aging effects in multiple pathways in this study.
|mesh-terms=* Aging
* Computational Biology
* Data Mining
* Drugs, Chinese Herbal
* Gene Expression
* Gene Regulatory Networks
* Humans
* Plants, Medicinal
* Proteins
* Signal Transduction
|keywords=* Anti-aging
* Bioinformatics
* Data mining
* Kidney-tonifying
* Molecular Network
|full-text-url=https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5198498
}}