Anisi stellati Fructus has been mainly used in Korean herbal medicine for anti-inflammatory, analgesic, antiviral, and antibacterial properties. A recent study reported that ASF plays a role in inhibiting angiogenesis and metastasis in cancer cells. In this study, based on the analysis of ASF's netw...
Anisi stellati Fructus has been mainly used in Korean herbal medicine for anti-inflammatory, analgesic, antiviral, and antibacterial properties. A recent study reported that ASF plays a role in inhibiting angiogenesis and metastasis in cancer cells. In this study, based on the analysis of ASF's network pharmacology, K562 cells were treated with ASF extract (ASFE) and imatinib (IM) alone or in combination to focus on confirming the anti-leukemia effect. Compounds of ASF were retrieved using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and analysis platform.
Of the 49 potential active ingredients obtained in the TCMSP analysis, a total of 9 active compounds were screened by adding 7 active compounds that meet the conditions of OB≧35%, caco-2≧–0.4, and DL≧0.10 and two representative ingredients (anethole, shikimic acid). Target information was collected with the active compounds.
241 genes associated with active compounds were collected excluding duplicates. We obtained 372 biological processes involving genes collected using David 6.8 (Gene Functional Classification Tool). By grouping, biological processes involving relatively many genes, apoptosis (n=91), proliferation (n=90), immunity (n=72), antibacterial (n=47), growth (n=32), differentiation (n=26), and anti-virus (n=19) related groups were elicited.
Of these, 37 compounds were associated with cancer, and 10 compounds formed a network with 21 genes in the CML signaling pathway.
Reduction of BCR-ABL protein levels by ASFE in K562 cells is a result of protein complex modification, and the combination treatment of ASFE and imatinib degraded BCR-ABL protein more effectively.
In Herbal Medicine, systemic pharmacological analysis can more easily find the important mechanism of action of the active substance present in a particular drug. Based on this, more accurate predictions of target genes and cell signaling pathways for combinations of main components can develop effective strategies for the prevention and treatment of related diseases.
Anisi stellati Fructus has been mainly used in Korean herbal medicine for anti-inflammatory, analgesic, antiviral, and antibacterial properties. A recent study reported that ASF plays a role in inhibiting angiogenesis and metastasis in cancer cells. In this study, based on the analysis of ASF's network pharmacology, K562 cells were treated with ASF extract (ASFE) and imatinib (IM) alone or in combination to focus on confirming the anti-leukemia effect. Compounds of ASF were retrieved using the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database and analysis platform.
Of the 49 potential active ingredients obtained in the TCMSP analysis, a total of 9 active compounds were screened by adding 7 active compounds that meet the conditions of OB≧35%, caco-2≧–0.4, and DL≧0.10 and two representative ingredients (anethole, shikimic acid). Target information was collected with the active compounds.
241 genes associated with active compounds were collected excluding duplicates. We obtained 372 biological processes involving genes collected using David 6.8 (Gene Functional Classification Tool). By grouping, biological processes involving relatively many genes, apoptosis (n=91), proliferation (n=90), immunity (n=72), antibacterial (n=47), growth (n=32), differentiation (n=26), and anti-virus (n=19) related groups were elicited.
Of these, 37 compounds were associated with cancer, and 10 compounds formed a network with 21 genes in the CML signaling pathway.
Reduction of BCR-ABL protein levels by ASFE in K562 cells is a result of protein complex modification, and the combination treatment of ASFE and imatinib degraded BCR-ABL protein more effectively.
In Herbal Medicine, systemic pharmacological analysis can more easily find the important mechanism of action of the active substance present in a particular drug. Based on this, more accurate predictions of target genes and cell signaling pathways for combinations of main components can develop effective strategies for the prevention and treatment of related diseases.
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#Anisi Stellati Fructus Systems pharmacological analysis Chronic myeloid leukemia
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