RESUMEN
Based on the duality of "healthy" and "pathogenic" of the immune system in physiological and pathological states， and combined with the analogy between "immune function" and "healthy qi"， the theory of "transformation of healthy qi into pathogenic qi" was proposed to guide the pattern identification and treatment of autoimmune diseases. The theory of "transformation of healthy qi into pathogenic qi" means that "healthy qi"， which is originally used by the body's original ability to defend and remove harmful factors or normal functional activities， transformed into "pathogenic qi"， which is factors that damage and destroy the human body or abnormal body state. In the pathogenesis of autoimmune diseases， the pathogenic factors and causes of congenital endowment， tissue damage under the influence of external pathogens， abnormal function of zang-fu （脏腑） organs and meridians， abnormal transmission and transformation of qi， blood， body fluids was proposed. Autoimmune diseases have the dynamic mechanism of latent pathogen at early stage， internal and external contraction at the onset stage， and the expansion of the pathogenic qi at the complete period， and also have the characteristics of the specificity， invisibility and contradiction of healthy qi and pathogenic qi. In terms of treatment， it advocates the ideas of treatment with both attack and supplementation throughout the disease， identifying diseases with special prescriptions and formulas for specific diseases， dynamically adjusting treatment by identifying the remission and onsets of the disease， observing the changes in the dynamics of healthy qi transforming into pathogenic qi， and treating disease before it arises with early intervention.
RESUMEN
Objective To investigate and characterize the serum metabolite profile of patients with rheumatoid arthritis (RA),a common autoimmune disease,which will be of help for early diagnosis in clinic.Methods Serum specimens from 26 patients with RA and 19 age-matched healthy volunteers were collected from the First Affiliated Hospital of Hunan University of Chinese Medicine from January through April 2015.Samples were detected on the gas chromatography-mass spectrometry (GC-MS),and serum metabolites were identified by the chemometric methods.Discriminative model of RA and healthy volunteers was established using partial least squares-linear discriminant analysis (PLS-LDA),and furthermore the established model was evaluated with double cross validation (DCV) for predicting ability.Finally,differential metabolites with clinical diagnostic potential were screened out by using subwindow permutation analysis (SPA).Results The established PLS-LDA discriminative model identified 48 metabolites.The total accuracy of the model approached 97.73％,in which the accuracy of the model for predicting RA and healthy volunteers was 96.15％ and 100％,respectively.Our studies screened out 3-hydroxy butyric acid,phosphoric acid,isoleucine,mannose and hexadecanoic acid with clinical diagnostic potential based on the SPA.Conclusions Metabolomics with the application of GC-MS combined with the PLS-LDA method can distinguish patients with RA and healthy volunteers,and can aid in potential early diagnosis of RA.
RESUMEN
Objective:To explore the functional mechanism for therapeutic effects of angelica amylose in mice and rats with adjuvant-induced arthritis (AIA) and its effect of abirritation.Methods:Adjuvant arthritis was induced in either mice or rats.The effect of angelica amylose on rats’ arthritis and on mouse writhing response caused by acetic acid were observed.Tripterygium wilfordii was used as the positive drug for control.Results:Angelica amylose had obvious inhibition on mice writhing response and rats’ adjuvant-induced arthritis.Conclusion:Angelica amylose has effects of abirritation and anti-AIA.