Objective : To explore the association between serum γ-aminobutyric acid ( GABA) levels and the risk of developing type 2 diabetes( T2DM) ． Methods : 187 cases of T2DM patients attending the hospital were selected as the T2DM group，and 187 cases of non-T2DM population attending the same period of time were selected as the control group according to age ( ± 3 years) and gender 1 ∶ 1．On-site questionnaires and physical examination were conducted for the study subjects，and serum levels of GABA，Malondialdehyde ( MDA) and activities of superoxide dismutase ( SOD) and Glutathione peroxidase ( GSH-Px) were detected by using ELISA kits．The differences in the levels of GABA and oxidative stress indicators ( SOD，GSH-Px，MDA) between the two groups were compared， and the correlation between GABA and oxidative stress indicators was analyzed by Spearman's method; GABA and oxidative stress indicators were divided into three groups according to their control quartiles，respectively ［low level group ( Q1: ＜P25) ，medium level group ( Q2: P25 －P75) ，high level group ( Q3: ＞P75) ］，and conditional logistic regression was applied to analyze the relationship between GABA，oxidative stress indicators and the risk of develo- ping T2DM; the dose-response relationship between GABA，oxidative stress indicators and the risk of developing T2DM was analyzed by using restricted cubic spline ( RCS) ． Results : T2DM group ( P＜0. 05) ．Spearman's correlation analysis showed that GABA level was positively correlated with SOD and GSH-Px activities and negatively correlated with MDA level ( P＜0. 001) ．Conditional logistic regression analysis showed that medium levels of SOD and GSH-Px as well as medium and high levels of GABA were protective factors for T2DM compared with low levels in each group ( P＜0. 05) ．RCS results showed that a negative dose-response relationship between GABA，GSH-Px and the risk of developing T2DM，and SOD showed a trend of decreasing and then increasing the risk of developing T2DM ( P＜0. 05) ． Conclusion Serum GABA levels have been associated with the risk of developing T2DM．As serum GABA levels increase，the risk of developing T2DM may decrease．

Objective To study the mechanism of Chaihu Guizhi Decoction(CGD)in the treatment of influenza and staphylococcus aureus co-infection.Methods The co-infection model of influenza and staphylococcus aureus was established and CGD was used to intervene.The chemical components of CGD were qualitatively analyzed by UPLC-Q-Exactive/MS technology.The potential action targets of chemical components in CGD and the related targets of influenza Staphylococcus aureus co-infection were mined by network pharmacology method.The"component target disease"network was constructed.Core targets were selected according to degree ranking.Core action pathways were enriched by KEGG analysis and GO annotation analysis.The core target was verified by RT-qPCR,and the interaction between the core component and the key target was verified by molecular docking.Results CGD could significantly improve the decrease of body weight and thymus index(P<0.05)caused by co-infection.The lung index(P<0.05),relative amount of MmRNA expression(P<0.05)and bacterial load(P<0.05)were decreased,and the survival rate was improved.51 chemical constituents were identified from CGD.Through network pharmacological analysis,107 related targets corresponding to CGD treatment of bacterial pneumonia secondary to influenza were excavated.TNF,AKT1,ALB,VEGFA,MAPK3,PTGS2,STAT3,EGFR and other targets with strong correlation,mainly involved Fc epsilon RI signal pathway,GnRH signal pathway,NF-κB signal path,etc.Molecular docking study showed that the main active component of CGD,including oroxyloside,baicalein and wogonin have strong affinity with TNF,PTGS2 and EGFR targets.Compared with co-infection model group,in CGD group TNF-α、EGFR and PTGS2 increased significantly(P<0.05).Conclusion The main active ingredient of CGD is oroxyloside,baicalein and wogonin.TNF-α,PTGS2,EGFR and other targets to played a role in the treatment of influenza staphylococcus aureus co-infection.