This study aims to predict the material basis and mechanism of Dachengqi Decoction in the treatment of sepsis based on network pharmacology. The chemical constituents and targets of Dachengqi Decoction were retrieved from TCMSP, UniPot and DrugBank and the targets for the treatment of sepsis from OMIM and GeneCards. The potential targets of Dachengqi Decoction for the treatment of sepsis were screened by OmicShare. STRING database and Cytoscape 3.7.2 were used to construct the Chinese medicinal-active component-target-disease, active component-key target-key pathway, and protein-protein interaction(PPT) networks. The gene ontology(GO) term enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis were performed by DAVID(P<0.05). Finally, the animal experiment was conducted to verify some targets and pathways. A total of 40 active components and 157 targets of the Dachengqi Decoction, 2 407 targets for the treatment of sepsis, and 91 common targets of the prescription and the disease were also obtained. The key targets were prostaglandin G/H synthase 2(PTGS2), prostaglandin G/H synthase 1(PTGS1), protein kinase cAMP-dependent catalytic-α(PRKACA), coagulation factor 2 receptor(F2 R), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic gamma subunit(PIK3 CG), dipeptidyl peptidase 4(DPP4), etc. A total of 533 terms and 125 pathways were obtained for the 91 targets. The main terms were the response to drug, negative regulation of apoptotic process, positive regulation of nitric oxide biosynthetic process and lipopolysaccharide-mediated signaling pathway, and the pathways included pathways in cancer, hepatitis B, and phosphatidylinositol 3-kinase and protein kinase B(PI3 K/Akt) signaling pathway. The animal experiment confirmed that Dachengqi Decoction can down-regulate inflammatory cytokines interleukin-1β(IL-1β), IL-6 and tumor necrosis factor α(TNF-α)(P<0.01). It could also reduce the wet/dry weight ratio of lung tissue, the level of myeloperoxidase(MPO) and the phosphorylation of PI3 K and Akt(P<0.01). These results indicated that Dchengqi Decoction could act on inflammation-related targets and improve sepsis by inhibiting PI3 K/Akt signaling pathway. The animal experiment supported the predictions of network pharmacology. Dachengqi Decoction intervenes sepsis via multiple components, multiple targets, and multiple pathways. The result lays a foundation for further research on the mechanism of Dachengqi Decoction in the treatment of sepsis.
Animals ; Drugs, Chinese Herbal ; Gene Ontology ; Plant Extracts ; Sepsis/genetics*

BACKGROUNDThe highly polymorphic interleukin 10.G (IL10.G) microsatellite located in the promoter region of the interleukin-10 (IL-10) gene exerts a positive transcriptional regulatory effect on IL-10 gene expression and correlates with the in vitro IL-10 secretion. This study was conducted to investigate whether IL10.G microsatellite is associated with the incidence and/or the outcome of severe sepsis.

METHODSOne hundred and fifteen patients with severe sepsis who had been treated at the intensive care unit of the university hospital were studied. One hundred and forty-one healthy individuals served as controls. IL10.G microsatellite genotyping was performed with the following two methods: fluorescent based polymerase chain reaction (PCR) techniques and silver staining of the amplified DNA fragment in polyacrylamide gel. Alleles were defined according to the size of the amplified DNA product.

RESULTSTen alleles and 36 genotypes were detected both in the patients with severe sepsis and in the healthy controls. Allele IL10.G9 and allele IL10.G13 were the commonest alleles with the frequencies of 32.6% and 21.3% respectively in the patients with severe sepsis, and 34% and 27% respectively in the healthy controls. The allele frequencies of IL10.G microsatellite were neither different between the patients with severe sepsis and the healthy controls (P > 0.05), nor between survivors and non-survivors (P > 0.05). However, the frequency of one common allele IL10.G13 was slightly lower in the patients with severe sepsis than in the healthy controls (21.3% vs 27%, P > 0.05), and the frequency of allele IL10.G9 was slightly higher in the non-survivors than in the survivors (37.1% vs 28.1%, P > 0.05).

CONCLUSIONIL10.G microsatellite may neither contribute to the susceptibility to severe sepsis nor to the fatal outcome of severe sepsis.

Female ; Genetic Predisposition to Disease ; Humans ; Interleukin-10 ; genetics ; Male ; Microsatellite Repeats ; Promoter Regions, Genetic ; Sepsis ; genetics

OBJECTIVE: To study the expression of high-mobility group box 1 (HMGB1) in neonates with sepsis and its role in the pathogenesis of neonatal sepsis. METHODS: A total of 62 neonates with sepsis were enrolled as the sepsis group, 66 neonates with local infection were enrolled as the local infection group, and 70 healthy neonates were enrolled as the healthy control group. Serum levels of interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-17 (IL-17), interleukin-23 (IL-23), C-reactive protein (CRP) and procalcitonin (PCT) were measured. The mRNA expression of HMGB1, Toll-like receptor 4 (TLR4) and nuclear factor-kappa B (NF-κB) and the protein expression of TLR4 and NF-κB in peripheral blood mononuclear cells (PBMCs) were also measured. PBMCs from healthy neonates were divided into 4 groups: control, HMGB1 treatment, HMGB1+TAK-242 (a TLR4 inhibitor) treatment and HMGB1+PDTC (an NF-κB inhibitor) treatment, and the mRNA expression of TLR4, NF-κB and IL-8 and the protein expression of TLR4 and NF-κB were measured. PBMCs from healthy neonates were divided into another 3 groups: control, LPS treatment and LPS+glycyrrhizin (an HMGB1 inhibitor) treatment, and the mRNA expression of HMGB1, TLR4, NF-κB and IL-8 and the protein expression of TLR4 and NF-κB were measured. RESULTS: Compared with the local infection and healthy control groups, the sepsis group had significantly higher serum levels of IL-6, IL-8, IL-17, IL-23, CRP and PCT (P<0.05), as well as significantly higher mRNA expression of HMGB1, TLR4 and NF-κB and protein expression of TLR4 and NF-κB in PBMCs (P<0.05). HMGB1 significantly induced the mRNA and protein expression of TLR4 and NF-κB in PBMCs (P<0.05). TAK-242 inhibited the mRNA and protein expression of TLR4 and NF-κB and mRNA expression of IL-8 (P<0.05). PDTC inhibited the mRNA and protein expression of NF-κB and the mRNA expression of IL-8 (P<0.05). LPS significantly induced the mRNA expression of HMGB1 and the mRNA and protein expression of TLR4 and NF-κB and then stimulated the mRNA expression of IL-8 (P<0.05). Glycyrrhizin inhibited the mRNA expression of HMGB1 and the mRNA and protein expression of TLR4 and NF-κB and then reduced the mRNA expression of IL-8 (P<0.05). CONCLUSIONS HMGB1 plays an important role in the pathogenesis of neonatal sepsis by activating the TLR4/NF-κB signaling pathway and inducing the secretion of inflammatory factors including IL-8. The HMGB1 blocker glycyrrhizin can inhibit activation of the TLR4/NF-κB signaling pathway and the secretion of inflammatory factors.
HMGB1 Protein ; genetics ; Humans ; Infant, Newborn ; Leukocytes, Mononuclear ; NF-kappa B ; Sepsis ; genetics ; Signal Transduction

To investigate the association between single nucleotide polymorphism (SNP) in the 11th exon of transient receptor potential melastatin 2 (TRPM2) gene with the susceptibility and outcome of sepsis.A total of 119 septic patients and 112 normal subjects were enrolled from the First Affiliated Hospital, Zhejiang University School of Medicine. Among 119 septic patients, 62 died (fatal group) and 57 survived (survival group) within 28 days of disease onset. The genotypes of these individuals were detected using TaqMan allelic discrimination assays, and its correlations with susceptibility and outcome of sepsis were analyzed.There was no significant difference in genotype frequencies and allelic frequencies of TRPM2 SNP rs1556314 between septic patients and the controls (all>0.05). And no significant difference in genotype frequencies and allelic frequencies of TRPM2 SNP rs1556314 was observed between the survivors and fatal cases of septic patients (all>0.05).The TRPM2 SNP rs1556314 does not have significant association with sepsis, but this result need to be confirmed by large scale studies.
Exons ; genetics ; physiology ; Female ; Gene Frequency ; Genetic Predisposition to Disease ; genetics ; Genotype ; Humans ; Male ; Polymorphism, Single Nucleotide ; genetics ; physiology ; Sepsis ; genetics ; mortality ; TRPM Cation Channels ; genetics

OBJECTIVE: To analyze the expression of lncRNA-MALAT1 in peripheral blood of patients with acute myeloid leukemia (AML) sepsis and explore its clinical significance. METHODS: From March 2018 to March 2019, 95 confirmed AML patients including 43 sepsis infected cases and 52 uninfected cases were selected for treatment in the Department of Oncology and Hematology, The First People's Hospital of Longquanyi District. Their peripheral blood samples were taken as study samples, and the blood samples from 50 healthy people were used as control. RT-qPCR was used to detect lncRNA-MALAT1 expression level in samples from healthy group, uninfected group, and sepsis group. The correlation between lncRNA-MALAT1 expression level and clinical characteristics and prognosis of AML patients with sepsis were analyzed. RESULTS: The expression level of lncRNA-MALAT1 in the sepsis group was significantly up-regulated compared with the healthy group and uninfected group (P<0.05), while there was no significant difference between the healthy group and uninfected group (P>0.05). In AML patients with sepsis, the expression of lncRNA-MALAT1 was associated with clinical characteristics such as NCCN risk classification, white blood cell count, hemoglobin and so on. The overall survival rate of high lncRNA-MALAT1 expression group was significantly lower than that of low expression group (χ CONCLUSION The up-regulated expression of lncRNA-MALAT1 is closely related to the clinical characteristics and survival rate, and is an independent prognostic factor for AML sepsis patients. LncRNA-MALAT1 is expected to become a new diagnostic marker and therapeutic target for AML sepsis.
Humans ; Leukemia, Myeloid, Acute ; Prognosis ; RNA, Long Noncoding/genetics* ; Sepsis ; Survival Rate

OBJECTIVE: To investigate the causal relationship between neutrophil extracellular trap (NET) and sepsis based on Mendelian randomization analysis. METHODS: The genome wide association study (GWAS) dataset for the NET biomarker myeloperoxidase (MPO)-DNA complex based on Donkel et al. 's Rotterdam study (RS) and GWAS dataset for identifying sepsis from the UK biobank were selected to screen single nucleotide polymorphisms (SNPS) associated with MPO-DNA complex as instrumental variable (IV) for genetic variation, using MPO-DNA complex as exposure factor. Potential causal associations between MPO-DNA complex and the risk of occurrence of sepsis, 28-day death from sepsis, need for intensive care due to sepsis, and 28-day death from sepsis requiring intensive care were analyzed using a two-sample, one-way Mendelian randomization analysis primary analysis method of inverse analysis of variance (IVW). Potential pleiotropy was assessed using the MR Egger regression intercept test. Sensitivity analysis was performed using the "leave one out" test. RESULTS: The GWAS data were obtained from a European population of both sexes, and the screening criteria was based on the three main assumptions of Mendelian randomization, resulting in 22 SNP entering the Mendelian randomization analysis. The results of the Mendelian randomization causal association effect analysis using the IVW method showed that for every standard deviation increase in the level of the MPO-DNA complex, the risk of sepsis increased by approximately 18% [odds ratio (OR) = 1.18, 95% confidence interval (95%CI) was 1.07-1.29, P < 0.001], the risk of 28-day death from sepsis increased by approximately 51% (OR = 1.51, 95%CI was 1.27-1.81, P < 0.001), an increase of approximately 38% in the risk of occurrence of needing intensive care due to sepsis (OR = 1.38, 95%CI was 1.12-1.70, P = 0.002), and an increase of approximately 125% in the risk of 28-day death from sepsis requiring intensive care (OR = 2.25, 95%CI was 1.21-4.18, P = 0.01). MR Egger regression intercept test suggested that there was no horizontal pleiotropy in the included SNP, and the MR-PRESSO test did not find outliers. Sensitivity analysis suggested that the results of Mendelian randomization were robust. CONCLUSIONS Rising NET can increase the risk of sepsis onset, progression and death as derived from Mendelian randomization analysis.
Female ; Male ; Humans ; Extracellular Traps ; Genome-Wide Association Study ; Mendelian Randomization Analysis ; Sepsis/genetics* ; Nonoxynol ; DNA

Humans ; Computational Biology ; Neutrophils/metabolism* ; Sepsis/metabolism* ; Signal Transduction/genetics* ; Immunosuppression Therapy ; Gene Expression Profiling

Due to the low specificity and sensitivity of biomarkers in sepsis diagnostics, the prognosis of sepsis patient outcomes still relies on the assessment of clinical symptoms. Inflammatory response is crucial to sepsis onset and progression; however, the significance of inflammatory response-related genes (IRRGs) in sepsis prognosis is uncertain. This study developed an IRRG-based signature for sepsis prognosis and immunological function. The Gene Expression Omnibus (GEO) database was retrieved for two sepsis microarray datasets, GSE64457 and GSE69528, followed by gene set enrichment analysis (GSEA) comparing sepsis and healthy samples. A predictive signature for IRRGs was created using least absolute shrinkage and selection operator (LASSO). To confirm the efficacy and reliability of the new prognostic signature, Cox regression, Kaplan-Meier (K-M) survival, and receiver operating characteristic (ROC) curve analyses were performed. Subsequently, we employed the GSE95233 dataset to independently validate the prognostic signature. A single-sample GSEA (ssGSEA) was conducted to quantify the immune cell enrichment score and immune-related pathway activity. We found that more gene sets were enriched in the inflammatory response in sepsis patient samples than in healthy patient samples, as determined by GSEA. The signature of nine IRRGs permitted the patients to be classified into two risk categories. Patients in the low-risk group showed significantly better 28-d survival than those in the high-risk group. ROC curve analysis corroborated the predictive capacity of the signature, with the area under the curve (AUC) for 28-d survival reaching 0.866. Meanwhile, the ssGSEA showed that the two risk groups had different immune states. The validation set and external dataset showed that the signature was clinically predictive. In conclusion, a signature consisting of nine IRRGs can be utilized to predict prognosis and influence the immunological status of sepsis patients. Thus, intervention based on these IRRGs may become a therapeutic option in the future.
Humans ; Reproducibility of Results ; Sepsis/genetics* ; Leukocyte Count ; Area Under Curve ; ROC Curve

OBJECTIVETo investigate whether three biallelic polymorphisms at positions -592, -819 and -1082 in the promoter region of the IL-10 gene are associated with increased incidence of severe sepsis.

METHODSThe IL-10 -592, -819 and -1082 polymorphisms were typed using polymerase chain reaction followed by digestion with the restriction enzymes RsaI, MaeIII and MnlI, respectively.

RESULTSPatients with severe sepsis were more likely to have IL-10 -1082 allele 1, compared with controls (P < 0.05). Genotype distribution of the IL-10 -1082 polymorphism significantly differed between patients and controls (P < 0.05). However, the allele frequencies and genotype distribution of the IL-10 -1082 polymorphism did not differ between surviving and dead patients (P > 0.05). No significant differences in the genotype distribution and allele frequencies of the IL-10 -592 and IL-10 -819 polymorphisms were observed between patients with severe sepsis and healthy controls, nor between surviving and dead patients (P > 0.05).

CONCLUSIONSThe polymorphism at position -1082 in the promoter region of the IL-10 gene may be associated with susceptibility to severe sepsis. In contrast, the other two highly linked IL-10 polymorphisms are not associated with incidence or the outcome of severe sepsis.

Alleles ; Disease Susceptibility ; Genetic Predisposition to Disease ; Humans ; Interleukin-10 ; genetics ; Polymorphism, Genetic ; Promoter Regions, Genetic ; Sepsis ; genetics

OBJECTIVES: To investigate the association of single nucleotide polymorphisms (SNPs) of myeloid differentiation factor 88 (MyD88) and Toll-like receptor adaptor molecule 1 (TICAM1) and their interactions with community-acquired pneumonia (CAP) in children. METHODS: Improved multiple ligase detection reaction assay was used for detecting the polymorphisms of nine tagging SNPs of the MyD88 and TICAM1 genes in 375 children with CAP who attended the Department of Pediatrics of the Second Affiliated Hospital of Yan'an University Medical School from August 2015 to September 2017 and 306 healthy children who underwent physical examination. A logistic regression analysis was used to evaluate the association between the distribution of genotypes and their interactions with CAP in children. RESULTS: The polymorphism of the TICAM1 gene at rs11466711T/C locus was closely associated with the susceptibility to CAP in children (P<0.05). The AA genotype of rs35747610G/A locus significantly reduced risk of sepsis in children with CAP (P<0.05). The AA genotype of rs6510826G/A locus was significantly associated with the increase in C-reactive protein level in children with CAP (P<0.05). The GG genotype of the MyD88 gene at rs7744A/G locus significantly increased the risk of respiratory failure and circulatory failure (P<0.05). The multiplicative interactions between MyD88 gene rs7744A/G and TICAM1 gene rs11466711T/C, rs2292151G/A, rs35299700C/T, and rs35747610G/A loci were significantly associated with the susceptibility to CAP, the severity of CAP, and the risk of sepsis in children (P<0.05). CONCLUSIONS The gene polymorphisms of MyD88 and TICAM1 and their interactions are closely associated with CAP in children, with a synergistic effect on the development and progression of CAP in children.
Child ; Humans ; Adaptor Proteins, Vesicular Transport/genetics* ; Community-Acquired Infections/genetics* ; Myeloid Differentiation Factor 88/genetics* ; Pneumonia/genetics* ; Polymorphism, Single Nucleotide ; Sepsis