This study was designed to explore the "multi-components, multi-targets and multi-pathways" intervention mechanism of Huanglian Jiedu decoction (HLJDD) in the treatment of Alzheimer's disease (AD) by pharmacological network technology, which may establish a foundation for drug development and innovative research. Seventeen active constituents of HLJDD with anti-AD activities were submitted to PharmMapper and Molecule Annotation System (MAS 3.0) bioinformatics softwares to predict the target proteins and carry out related KEGG pathways annotation respectively. The network of "active compound-target-pathway" was constructed and analyzed using the Cytoscape 3.4.0 software. The results suggest that 47 pathways are affected by the 17 active components through 59 target proteins, in which 4 target proteins are related to AD and 2 pathways related to neuroinflammation, respectively. The effect of HLJDD on AD may be dependent on clearing/reducing β-amyloid protein, inhibiting Tau hyperphosphorylation, anti-inflammation and immunoregulation.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 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 |