ObjectiveQi deficiency and phlegm dampness syndrome is a common type of clinical traditional Chinese medicine（TCM） syndrome. However， there is no standard， scientific， and accurate report on the construction of animal models of Qi deficiency and phlegm dampness syndrome. This study aims to construct a mouse model of Qi deficiency and phlegm dampness syndrome by using a multi-factor composite modeling method and to evaluate the model. MethodsTwenty-one C57BL/6 mice were randomly divided into three groups with seven mice in each group， which were the normal group， model group， and Shenling Baizhusan （SLBZ） group. The control group was fed with ordinary diet and kept in a normal environment. The model group and SLBZ group were fed with a high-fat diet in a high-humidity environment. Swimming with heavy weights until exhaustion and gavage with cold water or lard were used to establish the mouse model of Qi deficiency and phlegm dampness syndrome. In order to test the syndrome by prescription， mice in the SLBZ group were treated with SLBZ for 14 days after model construction. The exhaustive swimming time， body weight， serum lipid levels， tongue changes， "Qi deficiency and phlegm dampness" assessment scale score， and cecal index of mice in each group were measured. The feces of each group of mice were sent for metagenomics and metabolome sequencing， and the changes in intestinal flora and metabolites were analyzed. ResultsAfter the modeling of Qi deficiency and phlegm dampness syndrome， the exhaustive swimming time of mice was obviously shortened （P<0.01）. The serum total cholesterol， low density lipoprotein cholesterol， and non-high density lipoprotein cholesterol of mice were significantly increased （all P<0.01）. The tongue of mice was significantly different from that of the normal group， and the score of the assessment scale was significantly higher than that of the control group （P<0.01）. Cecal index decreased significantly （P<0.01）. The serum lipid level， tongue image， assessment scale score， and cecal index were reversed in the SLBZ group. Metagenomic and metabolome sequencing results showed that intestinal flora and fecal metabolites were significantly changed in mice with Qi deficiency and phlegm dampness syndrome. Akkermansia_muciniphila， Faecalibaculum_rodentium， Eubacterium_plexicaudatum， Eubacterium sp 14_2， Candida glabrata， Romboutsia_ilealis， Turicibacter sp TS3， and other bacteria had significant changes， and the expressions of intestinal metabolites such as chenodeoxycholic acid， choline， L-phenylalanine betaine， and 2-phenylbutyric acid were significantly changed. Related metabolic pathways such as linoleic acid metabolism， primary bile acid biosynthesis， lysine degradation， arginine biosynthesis， and alpha-linolenic acid metabolism were affected. ConclusionThe Qi deficiency and phlegm dampness model of mice can be constructed by the multi-factor composite modeling method of high-fat diet feeding， high-humidity environment feeding， exhaustive swimming with heavy weight， and intragastric administration with cold water or lard. The blood lipid level， tongue change， score of "Qi deficiency and phlegm dampness assessment scale"， cecal index， and changes in related intestinal flora and metabolites of mice can be used as key indicators for model evaluation.

Diabetic nephropathy(DN)is a common complication of diabetes and a leading cause of end-stage renal disease.Transforming growth factor-β1(TGF-β1)/SMAD signaling activation plays an important role in the onset and progression of DN.Reported findings suggest that the activation of TGF-β1(including the latent form,the active form,and the receptors)and its downstream signaling proteins(SMAD3,SMAD7,etc.)plays a critical role in DN.In addition,TGF-β1/SMAD signaling may mediate the pathogenesis and progression of DN via various microRNAs(miRNAs)and long non-coding RNAs(lncRNAs).Emerging evidence shows that TGF-β1,SMAD3,and SMAD7 are the main signaling proteins that contribute to the development of DN,and that they can be potential targets for the treatment of DN.However,recent clinical trials have shown that the anti-TGF-β1 monoclonal antibody treatment fails to effectively alleviate DN,which suggests that upstream inhibition of TGF-β1/SMAD signaling does not alleviate clinical symptoms and that this may be related to the fact that TGF-β1/SMAD has multiple biological effects.Targeted inhibition of the downstream TGF-β1 signaling(e.g.,SMAD3 and SMAD7)may be an effective approach to attenuate DN.This article discussed the current understanding of the molecular mechanisms and potential targets for the treatment and prevention of DN by focusing on TGF-β1/SMAD signaling.

Objective To explore the epidemiological characteristics of adult allergic diseases,looking for risk factors of allergic airway disease in Shiqi District of Zhangshan,and to provide a scientific basis for the development of community health education.Methods The questionnaire which was designed by national respiratory allergic diseases research and epidemiological survey collaboration group was carried out,and the random cluster sampling method was used to extract a total of 2 000 adults from Shiqi District of Zhongshan City,and the questionnaires,physi calexamination,and laboratory tests were taken.Results In Shiqi District of Zhongshan,the incidence rate of adult respiratory allergic disease was 10.4％,including allergic rhinitis,allergic pharyngitis and allergic asthma,accounted for 54.33％,33.65％ and 12.02％.Most common cause is smoking and keeping pets.Among respiratory allergic disease population,smoking accounted for 28％ and keep pets accounted for 17.8％.Common allergens are mites,cockroaches,animal fur and flowers.Leather pilot assassination test positive rate of respiratory allergic disease population was 37.50％,including mites,cockroach accounted for 23.08％,7.21％ of animal fur,flowers accounted for 6.25％.Conclusion In Shiqi District of Zhongshan,adult respiratory allergic disease prevalence is same as the country,the majority is respiratory diseases.The most common cause is smoking and keeping pets.The most common allergens are mites,cockroaches,animal fur and flowers.The incidence maybe related to life behavior and the living environment.