Objective:To identify key genes involved in LPS-induced acute lung injury(ALI)using GEO database,to eluci-date its pathogenesis and discover potential therapeutic drugs.Methods:Gene expression data from LPS-induced ALI was collected by GEO database,and microbiotics online analysis platform was employed to identify differential expression genes,from which core genes were obtained.Metascape and DAVID were used for GO and KEGG enrichment analysis of these core genes to identify pathways associated with ALI.GSEA and protein interaction analysis were performed for these pathways for identification of core targets.Poten-tial therapeutic drug,kaempferol-3-O-α-L-(4″-E-p-coumaroyl)-rhamnoside(KAE)was validated by animal experiments.Results:Two GEO datasets were incorporated and 261 core genes with differential expression were identified.Data visualization indicated that LPS-induced ALI predominantly involved inflammatory pathways,such as TNF and NF-κB.In vivo validation was conducted in mice on two core targets within this pathway:NF-κB and NLRP3,potential therapeutic drug KAE was administered,which was found to mitigate LPS-induced lung tissue damage.Further investigations demonstrated that KAE could effectively improve ALI by reducing expressions of p-NF-κB,NLRP3 and other proteins.Conclusion:This study markes screening of LPS-induced ALI model within GEO database.Above findings reveal predominant involvement of NF-κB and NLRP3 within TNF and NF-κB signaling pathways in LPS-in-duced ALI.KAE has potential for ALI treatment by down-regulating expressions of p-NF-κB,NLRP3 and other proteins,expecting to be a candidate drug for ALI treatment.

Objective:To identify key genes involved in LPS-induced acute lung injury(ALI)using GEO database,to eluci-date its pathogenesis and discover potential therapeutic drugs.Methods:Gene expression data from LPS-induced ALI was collected by GEO database,and microbiotics online analysis platform was employed to identify differential expression genes,from which core genes were obtained.Metascape and DAVID were used for GO and KEGG enrichment analysis of these core genes to identify pathways associated with ALI.GSEA and protein interaction analysis were performed for these pathways for identification of core targets.Poten-tial therapeutic drug,kaempferol-3-O-α-L-(4″-E-p-coumaroyl)-rhamnoside(KAE)was validated by animal experiments.Results:Two GEO datasets were incorporated and 261 core genes with differential expression were identified.Data visualization indicated that LPS-induced ALI predominantly involved inflammatory pathways,such as TNF and NF-κB.In vivo validation was conducted in mice on two core targets within this pathway:NF-κB and NLRP3,potential therapeutic drug KAE was administered,which was found to mitigate LPS-induced lung tissue damage.Further investigations demonstrated that KAE could effectively improve ALI by reducing expressions of p-NF-κB,NLRP3 and other proteins.Conclusion:This study markes screening of LPS-induced ALI model within GEO database.Above findings reveal predominant involvement of NF-κB and NLRP3 within TNF and NF-κB signaling pathways in LPS-in-duced ALI.KAE has potential for ALI treatment by down-regulating expressions of p-NF-κB,NLRP3 and other proteins,expecting to be a candidate drug for ALI treatment.

Objective To investigate the role of hemoglobin (Hb),red blood cell count (RBC) and hematocrit (HCT) during the first trimester in predicting the occurrence of gestational diabetes mellitus (GDM) in the third trimester in nonanemic women in Kunming.Methods A prospective study was carried out.Routine blood tests were performed in 1189 nondiabetic singleton pregnant Chinese women at their initial prenatal healthcare before 14 gestational weeks in the First Affiliated Hospital of Kunming Medical University from January 1,2008 to December 31,2009.They were divided into four groups by quartiles of Hb,RBC and HCT levels respectively.Differences of GDM incidence at the third trimester were compared among groups.Kollmogorov Smirnov test was used to detect normal distribution of Hb,RBC and HCT results.Differences between rates of groups were detected by Chi-square test.Independent risk factors of GDM were screened by Logistic regression analysis.Results The incidence of GDM at the third trimester increased as quartile categories of Hb,RBC and HCT ascended.The GDM incidence (13.1 ％,34/259) of ≥75th Hb group was higher than that of ＜ 25th group (5.9 ％,18/304,x2 =8.53,P＜ 0.0 1),25th ～ group (9.2 ％,30/326,x2=4.18,P＜0.05) and 50th～ group (9.3％,28/300,x2=3.96,P＜0.05).The GDM incidence (11.7 ％,34/290) of 50th～ RBC group (RBC≥4.44 × 1012/L) was higher than that of ＜25th group (6.3％,19/304,x2=5.30,P＜0.05),25th～ group (7.0％,21/298,x2 =3.93,P＜0.05); and the GDM incidence (12.1％,36/297) of ≥75th group was also higher than that of ＜25th group (6.3％,19/304,x2 =6.49,P＜0.05),25th～ group (7.0％,21/298,x2=3.85,P＜0.05).The GDM incidence of ＜25th HCT group (5.3％,16/303) was lower than that of 25th～ group (9.3％,29/311,x2=7.04,P＜0.01),50th～ group (10.8％,31/287,x2=3.93,P＜0.05) and ≥75th group (11.8％,34/288,x2=6.49,P＜0.05).Logistic regression analysis showed that Hb (OR=1.031,95％ CI:1.010-1.052),RBC (OR=2.286,95％CI:1.318-3.963) and HCT (OR=1.106,95％ CI:1.037-1.179) were independent risk factors of GDM (all P＜0.05).Conclusions High maternal Hb,RBC and HCT levels in the first trimester could be used in predicting GDM in pregnant women in Kunming area.