Novel coronavirus infection not only damages lung function,but also causes myocardial injury,elevated myocardial enzymes and heart failure,especially for patients with basic heart diseases who develop COVID-19,the fir...Novel coronavirus infection not only damages lung function,but also causes myocardial injury,elevated myocardial enzymes and heart failure,especially for patients with basic heart diseases who develop COVID-19,the first consideration should be the protection of cardiac function.Based on the theory of intermingled phlegm,blood stasis and toxin of heart disease put forward by Master Lei Zhongyi,the dialectical treatment thinking of COVID-19 patients from the concept of damage of phlegm,blood stasis and toxin to the heart were discussed.During the diagnosis,critical stage and recovery period of COVID-19,expectorant and blood-activating agents,heat and detoxification agents can be added to promote lung and asthma,free Bizheng and remove blood stasis,calm the heart and calm the mind,and promote the recovery of cardiopulmonary functions.展开更多
OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi de...OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer;and as diagnostic model of Chinese medicine.METHODS:Serum samples from 63 lung cancer patients with Qi deficiency syndrome and phlegm and blood stasis,and 28 lung cancer patients with non-Qi deficiency syndrome and phlegm and blood stasis were analyzed using SELDI-TOF-MS with a PBS II-C protein chip reader.Protein profiles were generated using immobilized metal affinity capture(IMAC3) protein chips.Differentially-expressed proteins were screened.Protein peak clustering and classification analyses were performed using Biomarker Wizard and Biomarker Pattern software packages,respectively.RESULTS:A total of 268 effective protein peaks were detected in the 1,000-10,000 Da molecular range for the 15 serum proteins screened(P<0.05).The decision tree model was M 2284.97,with a sensitivity of 96.2% and a specificity of 66.7%.CONCLUSION:SELDI-TOF-MS techniques,combined with a decision tree model,can help identify serum proteomic biomarkers related to Qi deficiency syndrome and phlegm and blood stasis in lung cancer patients;and the predictive model can be used to discriminate between Chinese medicine diagnostic models of disease.展开更多
基金the Project of the Third National Master of Traditional Chinese Medicine of National Administration of Traditional Chinese Medicine/National Famous Traditional Chinese Medicine Inheritance Studio Construction(No.119(2018)of Education Letter of the State Office of Traditional Chinese Medicine).
文摘Novel coronavirus infection not only damages lung function,but also causes myocardial injury,elevated myocardial enzymes and heart failure,especially for patients with basic heart diseases who develop COVID-19,the first consideration should be the protection of cardiac function.Based on the theory of intermingled phlegm,blood stasis and toxin of heart disease put forward by Master Lei Zhongyi,the dialectical treatment thinking of COVID-19 patients from the concept of damage of phlegm,blood stasis and toxin to the heart were discussed.During the diagnosis,critical stage and recovery period of COVID-19,expectorant and blood-activating agents,heat and detoxification agents can be added to promote lung and asthma,free Bizheng and remove blood stasis,calm the heart and calm the mind,and promote the recovery of cardiopulmonary functions.
基金Supported by the National Natural Science Foundation of China(No.30572293)the "Eleventh Five" TCM Foundation for Major Clinical Research of PLA(No.2006051002)the Natural Science Foundation of Fujian Province,China(No. 2010J01197)
文摘OBJECTIVE:This study screened serum tumor biomarkers by surface enhanced laser desorption/ionization time-of-flight mass spectrometry(SELDI-TOF-MS) to establish a subset which could be used for the prediction of Qi deficiency syndrome and phlegm and blood stasis in patients with non-small cell lung cancer;and as diagnostic model of Chinese medicine.METHODS:Serum samples from 63 lung cancer patients with Qi deficiency syndrome and phlegm and blood stasis,and 28 lung cancer patients with non-Qi deficiency syndrome and phlegm and blood stasis were analyzed using SELDI-TOF-MS with a PBS II-C protein chip reader.Protein profiles were generated using immobilized metal affinity capture(IMAC3) protein chips.Differentially-expressed proteins were screened.Protein peak clustering and classification analyses were performed using Biomarker Wizard and Biomarker Pattern software packages,respectively.RESULTS:A total of 268 effective protein peaks were detected in the 1,000-10,000 Da molecular range for the 15 serum proteins screened(P<0.05).The decision tree model was M 2284.97,with a sensitivity of 96.2% and a specificity of 66.7%.CONCLUSION:SELDI-TOF-MS techniques,combined with a decision tree model,can help identify serum proteomic biomarkers related to Qi deficiency syndrome and phlegm and blood stasis in lung cancer patients;and the predictive model can be used to discriminate between Chinese medicine diagnostic models of disease.
