The selection rules of acupoints and meridians of traditional acupuncture for postoperative nausea and vomiting:a data mining-based literature study

Background:Postoperative nausea and vomiting(PONV)refers to a problem commonly occurring after surgery.Acupuncture is considered a critical complementary alternative therapy for PONV.The acupoints selection critically determines the efficacy of acupuncture,whereas the selection rules remain unclear.The objective of the present study was to delve into the principles of acupoints selection for PONV using data mining technology.Methods:The clinical trials assessing the acupuncture effect for PONV were searched with the use of computer in PubMed,China National Knowledge Infrastructure,and Chinese Biomedical Database;the time span was confined as 2009–2019.The database of acupuncture prescriptions for PONV was built using Excel 2016;the description and association were analyzed by IBM SPSS modeler 18.Result:Eighty-three relevant literatures were screened out.The number of specific acupoints took up 72.5%of all acupoints;specific acupoints exhibited the frequency taking up 91.30%of the total frequency.As revealed from the result,Neiguan(PC 6),Zusanli(ST 36),Hegu(LI 4),and Zhongwan(CV 12)were most frequently applied,suggesting the tightest associations.Most acupoints were taken from the stomach meridian and pericardium meridian.The common acupoints were concentrated in the lower limbs,chest,as well as abdomen.Conclusion:Data mining acts as a feasible method to identify acupoints selection and compatibility characteristics.As suggested from our study,the acupoints selection for PONV prioritizes specific acupoints and related meridians.The selection and combination of acupoints comply with the theory of traditional Chinese medicine.

Structural Dynamics of Amyloid β Peptide Binding to Acetylcholine Receptor and Virtual Screening for Effective Inhibitors

The interaction between Amyloid β(Aβ) peptide and acetylcholine receptor is the key for our understanding of how Aβ fragments block the ion channels within the synapses and thus induce Alzheimer’s disease.Here,molecular docking and molecular dynamics(MD)simulations were performed for the structural dynamics of the docking complex consisting of Aβ and α7-n ACh R(α7 nicotinic acetylcholine receptor),and the inter-molecular interactions between ligand and receptor were revealed.The results show that Aβ_(25-35) is bound toα7-n ACh R through hydrogen bonds and complementary shape,and the Aβ_(25-35) fragments would easily assemble in the ion channel of α7-n ACh R,then block the ion transfer process and induce neuronal apoptosis.The simulated amide-I band of Aβ_(25-35) in the complex is located at 1650.5 cm^(-1),indicating the backbone of Aβ_(25-35) tends to present random coil conformation,which is consistent with the result obtained from cluster analysis.Currently existing drugs were used as templates for virtual screening,eight new drugs were designed and semi-flexible docking was performed for their performance.The results show that,the interactions between new drugs and α7-n ACh R are strong enough to inhibit the aggregation of Aβ_(25-35) fragments in the ion channel,and also be of great potential in the treatment of Alzheimer’s disease.