Comparison between sepsis-induced coagulopathy and sepsis-associated coagulopathy criteria in identifying sepsis-associated disseminated intravascular coagulation

BACKGROUND:Disseminated intravascular coagulation(DIC)is associated with increased mortality in sepsis patients.In this study,we aimed to assess the clinical ability of sepsis-induced coagulopathy(SIC)and sepsis-associated coagulopathy(SAC)criteria in identifying overt-DIC and preDIC status in sepsis patients.METHODS:Data from 419 sepsis patients were retrospectively collected from July 2018 to December 2022.The performances of the SIC and SAC were assessed to identify overt-DIC on days 1,3,7,or 14.The SIC status or SIC score on day 1,the SAC status or SAC score on day 1,and the sum of the SIC or SAC scores on days 1 and 3 were compared in terms of their ability to identify pre-DIC.The SIC or SAC status on day 1 was evaluated as a pre-DIC indicator for anticoagulant initiation.RESULTS:On day 1,the incidences of coagulopathy according to overt-DIC,SIC and SAC criteria were 11.7%,22.0%and 31.5%,respectively.The specificity of SIC for identifying overt-DIC was significantly higher than that of the SAC criteria from day 1 to day 14(P<0.05).On day 1,the SIC score with a cut-off value>3 had a significantly higher sensitivity(72.00%)and area under the curve(AUC)(0.69)in identifying pre-DIC than did the SIC or SAC status(sensitivity:SIC status 44.00%,SAC status 52.00%;AUC:SIC status 0.62,SAC status 0.61).The sum of the SIC scores on days 1 and 3 had a higher AUC value for identifying the pre-DIC state than that of SAC(0.79 vs.0.69,P<0.001).Favorable effects of anticoagulant therapy were observed in SIC(adjusted hazard ratio[HR]=0.216,95%confidence interval[95%CI]:0.060–0.783,P=0.018)and SAC(adjusted HR=0.146,95%CI:0.041–0.513,P=0.003).CONCLUSION:The SIC and SAC seem to be valuable for predicting overt-DIC.The sum of SIC scores on days 1 and 3 has the potential to help identify pre-DIC.

The Role of GPER in Sepsis-Induced Myocardial Cell Damage and 28-Day Mortality Risk

Purpose: The role of GPER in sepsis-induced myocardial cell injury and its potential impact on the risk of death within 28 days in sepsis. Methods: An in vitro experiment was conducted to establish a sepsis-induced myocardial cell model. H9C2 myocardial cells were treated with 10 μg/ml lipopolysaccharide (LPS) for 24 hours. The effects of different concentrations of the GPER agonist G1 (1, 3, and 10 μmol/L) on cell viability, expression of inflammatory markers, cell apoptosis, and the NF-κB pathway were evaluated. A Mendelian randomization analysis was conducted using Single Nucleotide Polymorphism (SNPs) related to the GPER gene as instrumental variables to investigate the causal relationship between the GPER gene variations and sepsis (28-day death). Results: The results indicate that the group treated with LPS showed a significant decrease in myocardial cell viability, an increase in concentrations of tumor necrosis factor-alpha (TNF-α) and interleukin-6 (IL-6), higher apoptosis rates, and increased phosphorylation levels of NF-κB p65 (p-P65/P65) and IκB-α (p-IκB-α/IκB-α) compared to the control group (P κB pathway. However, genetic evidence did not show a causal relationship between GPER gene variations and sepsis (28-day death) (P κB pathway. However, genetic evidence did not show a causal relationship between GPER gene variations and sepsis (28-day death).

Timing of Continuous Renal Replacement Therapy Initiation in Sepsis-Associated Acute Kidney Injury: A Comprehensive Review and Future Directions

This review examines the application of continuous renal replacement therapy(CRRT)in patients with sepsis-associated acute kidney injury(S-AKI),with a particular focus on the timing of CRRT initiation.This review addresses the controversy surrounding initiation timing and proposes future research directions.Through a systematic review of recent literature on CRRT for S-AKI,working principles,therapeutic mechanisms,initiation timing of CRRT,and related meta-analyses were summarized.Current studies indicate that the optimal timing for CRRT initiation in S-AKI patients remains inconclusive,with ongoing debate regarding whether early initiation significantly improves patient survival and renal function.This lack of consensus reflects the heterogeneity of the S-AKI patient population and the limitations of existing research methodologies.Future studies should focus on advancing the application of precision medicine in S-AKI and developing individualized treatment strategies by integrating multidimensional information to optimize CRRT utilization and improve patient outcomes.

Value of procalcitonin and presepsin in the diagnosis and severity stratification of sepsis and septic shock

Sepsis is defined as life-threatening organ dysfunction caused by a dysregulated host response to infection.[1,2]Septic shock,the most severe form of sepsis,is characterized by circulatory and cellular/metabolic abnormalities,and can increase mortality to>40%.[1-3]Early recognition and risk stratification of septic shock are crucial but challenging because of the heterogeneity of its presentation and progression.

重症脓毒症患者血清HBP和Presepsin水平对其急性肾损伤的预测

目的研究重症脓毒症患者血清肝素结合蛋白(heparin-binding protein,HBP)和可溶性白细胞分化抗原14亚型(sCD14-ST,Presepsin)水平对其急性肾损伤的预测效能。方法选择我院2022年9月至2023年9月诊断并进行治疗的120例重症脓毒症患者作为研究对象,依据《全球肾脏病预后组织急性肾损伤临床实践指南(2012)》相关标准,发生急性肾损伤(acute kidney injury,AKI)患者35例,非AKI患者85例。比较两组患者的血清HBP和Presepsin表达水平之间的差异,研究血清HBP和Presepsin联合检测对急性损伤的诊断效能。结果AKI组患者的HBP和Presepsin显著高于非AKI组(P<0.05);两组患者的心率、机械通气时间、ICU入住时间、收缩压、舒张压、平均动脉压、APACHEII、SOFA之间的差异无统计学意义(P>0.05),AKI组患者的中心静脉压、血肌酐、尿素氮、血乳酸显著高于非AKI组(P<0.05),较高的HBP、Presepsin、中心静脉压、血肌酐、尿素氮、血乳酸均是造成患者急性肾损伤的危险因素,血清HBP和Presepsin联合检测对急性肾损伤的预测灵敏度显著高于单独检测,通过ROC曲线分析,血清HBP和Presepsin联合检测对急性肾损伤的预测的曲线下面积显著高于单独检测,通过截断值分析,针对重症脓毒症患者而言,其合并急性肾损伤,其血清HBP和Presepsin分别为281.12ng/mL,1255.99pg/mL。结论重症脓毒症患者血清HBP和Presepsin表达水平对其急性肾损伤的预测具有显著的临床意义,可作为临床判定的重要依据。

Evolutionary trend analysis and knowledge structure mapping of endothelial dysfunction in sepsis:a bibliometrics study

BACKGROUND:A pathophysiological feature of septic organ failure is endothelial dysfunction in sepsis(EDS).The physiological and pathological mechanism of sepsis is considered to be vascular leakage caused by endothelial dysfunction.These pathological changes lead to systemic organ injury.However,an analysis using bibliometric methods has not yet been conducted in the field of EDS.This study was conducted to provide an overview of knowledge structure and research trends in the fi eld of EDS.METHODS:Based on previous research,a literature search was performed in the Web of Science Core Collection(WoSCC)for publications associated with EDS published between the year 2003 and 2023.Various types of data from the publications,such as citation frequency,authorship,keywords and highly cited articles,were extracted.The"Create Citation Report"feature in the WoSCC was employed to calculate the Hirsch index(h-index)and average citations per item(ACI)of authors,institutions,and countries.To conduct bibliometric and visualization analyses,three bibliometric tools were used,including R-bibliometrix,CiteSpace(co-citation analysis of references),and VOSviewer(co-authorship analysis of institutions,co-authorship analysis of authors,co-occurrence analysis of keywords).RESULTS:After excluding invalid records,the study finaly included 4,536 publications with 135,386 citations.Most of these publications originated in the USA,China,Germany,Canada,and Japan.Harvard University emerged as the most prolifi c institution,while professor Jong-Sup Bae and his research team at Kyungpook National University emerged as authors with the greatest infl uence.The"protein C","tissue factor","thrombin","glycocalyx",“acute kidney injury”,“syndecan-1”and“biomarker”were identifi ed as prominent areas of research.Future research may focus on molecular mechanisms(such as as vascular endothelial[VE]-cadherin regulation)and therapeutic interventions to enhance endothelial repair and function.CONCLUSION:Our findings show a growing interest in EDS research.Key areas for future research include signaling pathways,molecular mechanisms,endothelial repair,and interactions between endothelial cells and other cell types in sepsis.

Prediction of sepsis within 24 hours at the triage stage in emergency departments using machine learning

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to fi nd a light-weight,convenient prediction method through machine learning.METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation.RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the fi ve most important features were acuity,arrival transportation,age,shock index,and respiratory rate.CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Characteristics and Risk Factors for Pediatric Sepsis

Objective Sepsis is considered a major cause of health loss in children and had high mortality and morbidity.Currently,there is no reliable model for predicting the prognosis of pediatric patients with sepsis.This study aimed to analyze the clinical characteristics of sepsis in children and assess the risk factors associated with poor prognosis in pediatric sepsis patients to identify timely interventions and improve their outcomes.Methods This study analyzed the clinical indicators and laboratory results of septic patients hospitalized in the Pediatric Intensive Care Unit of Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,China,from January 1,2019,to December 31,2021.Risk factors for sepsis were identified by logistic regression analyses.Results A total of 355 children with sepsis were enrolled,with 333 children(93.8%)in the good prognosis group,and 22 children(6.2%)in the poor prognosis group.Among them,there were 255 patients(71.8%)in the sepsis group,and 100 patients(28.2%)in the severe sepsis group.The length of hospital stay in the poor prognosis group was longer than that in the good prognosis group(P<0.01).The levels of interleukin 1β(IL-1β)in the poor prognosis group were higher than those in the good prognosis group(P>0.05),and the platelet(PLT),albumin(ALB),and hemoglobin(Hb)levels were lower in the poor prognosis group(P<0.01).The IL-8 levels in the severe sepsis group were higher than those in the sepsis group(P<0.05).Multiple logistic regression analysis suggested that lower Hb levels,ALB levels,peak PLT counts,and higher IL-1βlevels were independent risk factors for poor prognosis in children with sepsis.Conclusion Lower Hb,ALB,and PLT counts and elevated IL-1βare independent risk factors for poor prognosis in children with sepsis.

Strongyloides stercoralis-induced sepsis and acute respiratory distress syndrome in a patient with Guillain-Barré syndrome

Strongyloidiasis stercoralis can cause disease when larvae invade the human body through the skin or mucosa and can also infect a host when the host ingests its eggs.[1]Strongyloidiasis lacks characteristic manifestations,and its clinical symptoms are related to the immune response of the host and the degree of infection.Immunodefi cient patients with underlying disease or who are receiving long-term corticosteroid treatment are more prone to developing severe disease.[2]The present study reports a case of Strongyloides stercoralis-induced sepsis and acute respiratory distress syndrome(ARDS)in a patient with Guillain-Barrésyndrome.

Shared diagnostic genes and potential mechanisms between COVID-19 and sepsis revealed by bioinformatics analysis

The coronavirus disease 2019(COVID-19)pandemic,triggered by the novel coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has ravaged the globe,resulting in a staggering loss of life and wreaking havoc on the worldwide economy.[1,2]Sepsis is a cascade of abnormal responses provoked by infection,leading to a critical deterioration in organ function that poses a life-threatening risk.[3]However,it is unclear from published reports whether COVID-19 and sepsis are commonly aff ected by molecular factors.Therefore,we performed a bioinformatics analysis to uncover shared diagnostic genes and potential mechanisms between COVID-19 and sepsis.

Aggressive fluid management may be associated with disease progression in suspected sepsis patients admitted to the intensive care unit: a retrospective cohort study

Sepsis is a lethal condition characterized by multiple organ dysfunction due to disrupted host responses to severe infections.[1]Aff ected patients often have a Sequential Organ Failure Assessment(SOFA)score≥2.[2]Patients with a SOFA score<2 and at least one of the following were considered as“suspected sepsis”:(1)quick SOFA(qSOFA)score≥2;(2)SOFA score=1;or(3)National Early Warning Score(NEWS)4-6.[3]Compared with studies on fluid resuscitation in sepsis patients,there are few studies on fluid management in patients with suspected sepsis.Therefore,we conducted a retrospective cohort study to evaluate the relationship between fluid management and disease progression in suspected sepsis patients.

Traditional Chinese medicine Pien-Tze-Huang ameliorates LPS-induced sepsis through bile acid-mediated activation of TGR5-STAT3-A20 signalling

Pien Tze Huang(PZH),a class-1 nationally protected traditional Chinese medicine(TCM),has been used to treat liver diseases such as hepatitis;however,the effect of PZH on the progression of sepsis is unknown.Here,we reported that PZH attenuated lipopolysaccharide(LPS)-induced sepsis in mice and reduced LPS-induced production of proinflammatory cytokines in macrophages by inhibiting the activation of mitogen-activated protein kinase(MAPK)and nuclear factor-kappa B(NF-κB)signalling.Mechanistically,PZH stimulated signal transducer and activator of transcription 3(STAT3)phosphorylation to induce the expression of A20,which could inhibit the activation of NF-κB and MAPK signalling.Knockdown of the bile acid(BA)receptor G protein-coupled bile acid receptor 1(TGR5)in macrophages abolished the effects of PZH on STAT3 phosphorylation and A20 induction,as well as the LPS-induced inflammatory response,suggesting that BAs in PZH may mediate its anti-inflammatory effects by activating TGR5.Consistently,deprivation of BAs in PZH by cholestyramine resin reduced the effects of PZH on the expression of phosphorylated-STAT3 and A20,the activation of NF-κB and MAPK signalling,and the production of proinflammatory cytokines,whereas the addition of BAs to cholestyramine resin-treated PZH partially restored the inhibitory effects on the production of proinflammatory cytokines.Overall,our study identifies BAs as the effective components in PZH that activate TGR5-STAT3-A20 signalling to ameliorate LPS-induced sepsis.

Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department

BACKGROUND:This study aimed to evaluate the discriminatory performance of 11 vital sign-based early warning scores(EWSs)and three shock indices in early sepsis prediction in the emergency department(ED).METHODS:We performed a retrospective study on consecutive adult patients with an infection over 3 months in a public ED in Hong Kong.The primary outcome was sepsis(Sepsis-3 definition)within 48 h of ED presentation.Using c-statistics and the DeLong test,we compared 11 EWSs,including the National Early Warning Score 2(NEWS2),Modified Early Warning Score,and Worthing Physiological Scoring System(WPS),etc.,and three shock indices(the shock index[SI],modified shock index[MSI],and diastolic shock index[DSI]),with Systemic Inflammatory Response Syndrome(SIRS)and quick Sequential Organ Failure Assessment(qSOFA)in predicting the primary outcome,intensive care unit admission,and mortality at different time points.RESULTS:We analyzed 601 patients,of whom 166(27.6%)developed sepsis.NEWS2 had the highest point estimate(area under the receiver operating characteristic curve[AUROC]0.75,95%CI 0.70-0.79)and was significantly better than SIRS,qSOFA,other EWSs and shock indices,except WPS,at predicting the primary outcome.However,the pooled sensitivity and specificity of NEWS2≥5 for the prediction of sepsis were 0.45(95%CI 0.37-0.52)and 0.88(95%CI 0.85-0.91),respectively.The discriminatory performance of all EWSs and shock indices declined when used to predict mortality at a more remote time point.CONCLUSION:NEWS2 compared favorably with other EWSs and shock indices in early sepsis prediction but its low sensitivity at the usual cut-off point requires further modification for sepsis screening.

Data driven analysis reveals prognostic genes and immunological targets in human sepsis-associated acute kidney injury

BACKGROUND:The molecular mechanism of sepsis-associated acute kidney injury(SA-AKI)is unclear.We analyzed co-differentially expressed genes(co-DEGs)to elucidate the underlying mechanism and intervention targets of SA-AKI.METHODS:The microarray datasets GSE65682,GSE30718,and GSE174220 were downloaded from the Gene Expression Omnibus(GEO)database.We identified the co-DEGs and constructed a gene co-expression network to screen the hub genes.We analyzed immune correlations and disease correlations and performed functional annotation of the hub genes.We also performed single-cell and microenvironment analyses and investigated the enrichment pathways and the main transcription factors.Finally,we conducted a correlation analysis to evaluate the role of the hub genes.RESULTS:Interleukin 32(IL32)was identified as the hub gene in SA-AKI,and the main enriched signaling pathways were associated with hemopoiesis,cellular response to cytokine stimulus,inflammatory response,and regulation of kidney development.Additionally,IL32 was significantly associated with mortality in SA-AKI patients.Monocytes,macrophages,T cells,and NK cells were closely related to IL32 and were involved in the immune microenvironment in SA-AKI patients.IL32 expression increased significantly in the kidney of septic mouse.Toll-like receptor 2(TLR2)was significantly and negatively correlated with IL32.CONCLUSION:IL32 is the key gene involved in SA-AKI and is significantly associated with prognosis.TLR2 and relevant immune cells are closely related to key genes.

Bibliometric study of sepsis-associated liver injury from 2000 to 2023

BACKGROUND Sepsis-associated liver injury(SLI)is a severe and prevalent complication of sepsis.AIM To explore the literature on SLI via a bibliometric approach.METHODS Reviews and articles correlated with SLI published from January 1,2000 to October 28,2023 were searched from the Web of Science Core Collection.Then,the searched data were analyzed using VOSviewer,CiteSpace,and R language.RESULTS There were 787 publications involved in this paper,comprising 745 articles and 42 reviews.China,the United States,and Germany are the primary publication sources in this area.Studies related to SLI primarily focused on mechanisms of pathogenesis,as evidenced by analyzing keywords,references,and the counting of original research.These studies mainly involved tumor necrosis factor alpha,inflammation,oxidative stress,and nuclear factor-kappa B.CONCLUSION There is significant growth in the research on SLI.Current investigations primarily involve basic experiments that aimed at uncovering pathogenic mechanisms.According to the analyzed literature,the identified pathogenic mechanisms and potential therapeutic targets serve as the foundation for translating findings from basic research to clinical applications.

Molecular mechanism of Xuebijing in treating pyogenic liver abscess complicated with sepsis

BACKGROUND:Xuebijing(XBJ)can alleviate the inflammatory response,improve organ function,and shorten the intensive care unit(ICU)stay in patients with pyogenic liver abscess(PLA)complicated with sepsis,but the molecular mechanisms have not been elucidated.This study aimed to explore the molecular mechanism of XBJ in treating PLA complicated with sepsis using a network pharmacology approach.METHODS:The active ingredients and targets of XBJ were retrieved from the ETCM database.Potential targets related to PLA and sepsis were retrieved from the GeneCards,PharmGKB,DisGeNet,Online Mendelian Inheritance in Man(OMIM),Therapeutic Targets Database(TTD),and DrugBank databases.The targets of PLA complicated with sepsis were mapped to the targets of XBJ to identify potential treatment targets.Protein-protein interaction networks were analyzed using the STRING database.Potential treatment targets were imported into the Metascape platform for Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.Molecular docking was performed to validate the interactions between active ingredients and core targets.RESULTS:XBJ was found to have 54 potential treatment targets for PLA complicated with sepsis.Interleukin-1β(IL-1β),interleukin-6(IL-6),and tumor necrosis factor(TNF)were identifi ed as core targets.KEGG enrichment analysis revealed important pathways,including the interleukin-17(IL-17)signaling pathway,the TNF signaling pathway,the nuclear factor-kappa B(NF-κB)signaling pathway,and the Toll-like receptor(TLR)signaling pathway.Molecular docking experiments indicated stable binding between XBJ active ingredients and core targets.CONCLUSION:XBJ may exert therapeutic eff ects on PLA complicated with sepsis by modulating signaling pathways,such as the IL-17,TNF,NF-κB,and TLR pathways,and targeting IL-1β,IL-6,and TNF.

Identification of clinical subphenotypes of sepsis after laparoscopic surgery

Objective:Some patients exhibit septic symptoms following laparoscopic surgery,leading to a poor prognosis.Effective clinical subphenotyping is critical for guiding tailored therapeutic strategies in these cases.By identifying predisposing factors for postoperative sepsis,clinicians can implement targeted interventions,potentially improving outcomes.This study outlines a workflow for the subphenotype methodology in the context of laparoscopic surgery,along with its practical application.Methods:This study utilized data routinely available in clinical case systems,enhancing the applicability of our findings.The data included vital signs,such as respiratory rate,and laboratory measures,such as blood sodium levels.The process of categorizing clinical routine data involved technical complexities.A correlation heatmap was used to visually depict the relationships between variables.Ordering points were used to identify the clustering structure and combined with Consensus K clustering methods to determine the optimal categorization.Results:Our study highlighted the intricacies of identifying clinical subphenotypes following laparoscopic surgery,and could thus serve as a valuable resource for clinicians and researchers seeking to explore disease heterogeneity in clinical settings.By simplifying complex methodologies,we aimed to bridge the gap between technical expertise and clinical application,fostering an environment where professional medical knowledge is effectively utilized in subphenotyping research.Conclusion:This tutorial could primarily serve as a guide for beginners.A variety of clustering approaches were explored,and each step in the process contributed to a comprehensive understanding of clinical subphenotypes.

Sepsis Prediction Using CNNBDLSTM and Temporal Derivatives Feature Extraction in the IoT Medical Environment

Background:Sepsis,a potentially fatal inflammatory disease triggered by infection,carries significant healthimplications worldwide.Timely detection is crucial as sepsis can rapidly escalate if left undetected.Recentadvancements in deep learning(DL)offer powerful tools to address this challenge.Aim:Thus,this study proposeda hybrid CNNBDLSTM,a combination of a convolutional neural network(CNN)with a bi-directional long shorttermmemory(BDLSTM)model to predict sepsis onset.Implementing the proposed model provides a robustframework that capitalizes on the complementary strengths of both architectures,resulting in more accurate andtimelier predictions.Method:The sepsis prediction method proposed here utilizes temporal feature extraction todelineate six distinct time frames before the onset of sepsis.These time frames adhere to the sepsis-3 standardrequirement,which incorporates 12-h observation windows preceding sepsis onset.All models were trained usingthe Medical Information Mart for Intensive Care III(MIMIC-III)dataset,which sourced 61,522 patients with 40clinical variables obtained from the IoT medical environment.The confusion matrix,the area under the receiveroperating characteristic curve(AUCROC)curve,the accuracy,the precision,the F1-score,and the recall weredeployed to evaluate themodels.Result:The CNNBDLSTMmodel demonstrated superior performance comparedto the benchmark and other models,achieving an AUCROC of 99.74%and an accuracy of 99.15%one hour beforesepsis onset.These results indicate that the CNNBDLSTM model is highly effective in predicting sepsis onset,particularly within a close proximity of one hour.Implication:The results could assist practitioners in increasingthe potential survival of the patient one hour before sepsis onset.

Differential expression of plasma cytokines in sepsis patients and their clinical implications

BACKGROUND Sepsis,which is characterized by acute systemic inflammation and is associated with high rates of morbidity and mortality,presents a significant challenge in health care.Some scholars have found that the sequential organ failure assessment(SOFA)and quick SOFA scores are not ideal for predicting severe sepsis and mortality.Microbial culture takes a long time(2-3 d)and provides no information for early diagnosis and treatment.Therefore,new diagnostic methods for sepsis need to be explored.AIM To assess cytokine levels in the plasma of sepsis patients and identify potential biomarkers for diagnosing sepsis.METHODS Ten sepsis patients admitted to the emergency department within 24 h of onset were enrolled as the observation group,whereas ten noninfected patients served as the control group.Of the 10 noninfected patients,9 hypertension combined with cerebral infarction,1 patients with vertiginous syndrome.Plasma Cytokines were measured using the Bio-Plex Pro^(TM)Human Chemokine Panel 40-plex.Differentially expressed cytokines in plasma of sepsis and nonsepsis patients were analyzed using Gene Ontology(GO)functional enrichment and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses.RESULTS Interleukin(IL)-16,granulocyte-macrophage granulocyte-macrophage colony-stimulating factor(GM-CSF),CX3CL1,CXCL9,CXCL16,CCL25,and CCL23 plasma levels were significantly increased in sepsis patients.GO analysis revealed that these cytokines were mainly associated with cellular structures such as intermediates,nuclear plaques,adhesion plaques,lateral plasma membranes,and cell matrix junctions.These genes were involved in various molecular functions,such as cytokine activity,receptor ligand activity,and signal receptor activator activity,contributing to various biological functions,such as leukocyte chemotaxis,migration,and chemotaxis.KEGG analysis indicated involvement in cytokine cytokine receptor interactions,chemokine signaling pathways,virus–protein interactions with cytokines and cytokine receptors,and the tumor necrosis factor signaling pathway.CONCLUSION Elevated serum levels of IL-16,GM-CSF,CX3CL1,CXCL9,CXCL16,CCL25,and CCL23 in sepsis patients suggest their potential as diagnostic biomarkers for sepsis.

Oleuropein alleviates sepsis-induced acute lung injury via the AMPK/Nrf-2/HO-1 signaling

Objective:To explore the effect of oleuropein on sepsis-induced acute lung injury(ALI)in vitro and in vivo and investigate the underlying mechanism.Methods:In an lipopolysaccharide(LPS)-mediated cell model of sepsis-induced ALI and a cecal ligation and puncture-induced mouse model of septic ALI,CCK-8 assay and flow cytometry analysis were used to detect cell activity and apoptosis.ELISA and relevant assay kits were used to measure the levels of inflammatory cytokines and oxidative stress,respectively.Western blot was applied to determine the expression of apoptosis-and AMP-activated protein kinase(AMPK)/nuclear factor erythroid 2-related factor-2(Nrf-2)/heme oxygenase-1(HO-1)signaling-associated proteins.JC-1 staining,adenosine triphosphate(ATP)assay kit,and MitoSOX Red assays were performed to detect mitochondrial membrane potential,ATP content,and mitochondrial ROS formation,respectively.Moreover,lung injury was evaluated by measuring lung morphological alternations,lung wet-to-dry ratio,myeloperoxidase content,and total protein concentration.Results:Oleuropein reduced inflammatory reaction,oxidative damage,and apoptosis,and ameliorated mitochondrial dysfunction in LPS-exposed BEAS-2B cells and mice with septic ALI.Besides,oleuropein activated the AMPK/Nrf-2/HO-1 signaling pathway.However,these effects of oleuropein were abrogated by an AMPK inhibitor compound C.Conclusions:Oleuropein can protect against sepsis-induced ALI in vitro and in vivo by activating the AMPK/Nrf-2/HO-1 signaling,which might be a potential therapeutic agent for the treatment of sepsis-induced ALI.