Intervertebral Disc Degeneration

Presentation Slides

Chinese Medicine Research Hub

Network Pharmacology

Dang Gui Si Ni formula moderates intervertebral disc degeneration by primarily interacting with stress responses and apoptotic signaling pathways.

2021 BioMed Research International Pharmacological Mechanism of Danggui-Sini Formula for Intervertebral Disc Degeneration: A Network Pharmacology Study
Wang L, Lin J, Li W

Executive Summary

Write an executive summary in the form of a blog article on the topic of "Research into Chinese medicine treatment for Intervertebral Disc Degeneration" summarising the research below and using language that can be easily understood by patients and avoiding medical jargon using a professional and caring tone of voice.

Write an executive summary in the form of a blog article on the topic of "Researched Chinese medicine treatments for Intervertebral Disc Degeneration" summarising the research below in an objective and easy to understand way, and using language that can be easily understood by patients. Group the article into Chinese medicine treatments first, followed by nutrition and other treatments. Avoid using medical jargon and use a professional and caring tone of voice.

Write me a concise but easy to understand executive summary on the topic of "Chinese medicine treatments for Intervertebral Disc Degeneration" based on the following research that I will give you. Your summary should be 2 paragraphs long in Australian English spelling and include references to the studies.

A Network Pharmacology published in 2021 in the journal BioMed Research International found that Dang Gui Si Ni formula moderates intervertebral disc degeneration by primarily interacting with stress responses and apoptotic signaling pathways. The study used traditional Chinese medicine SP (TCMSP), UniProt, and five disease gene databases to identify a gene set possibly responsive to DSF treatment of IVDD. In order to establish a protein interaction network involving DSF and IVDD, the STRING database was used. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed using the R platform, in order to deduce potential mechanisms. Molecular docking including the calculation of binding energy, was validated with AutoDock Vina. Subsequent to the identification of 119 active ingredients and 136 shared genes, the study reveals 10 core genes that are involved. Enrichment analysis signposts that DSF's therapeutic targets are primary focusses on certain signaling pathways relating to diabetic complications, Interleukin (IL)-17, Tumor Necrosis Factor (TNF), Toll-like receptor, apoptosis, cellular senescence, PI3K-Akt, and FoxO. Reactive oxygen species and stress responses as well as the controlling of apoptotic signalling pathways are the main biological processes these focus on. A stable affinity between the key components and the core genes was shown by molecular docking. Overall, the study used a combination of network pharmacology and molecular docking to affirm the multi-target and multi-pathway attributes of DSF for IVDD treatment.

Moderation Tools

Topic