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Vitamin D deficiency has been proven to be associated with dyslipidemia. Additionally, the synthesis of vitamin D depends on cytochrome P450 2R1 (CYP2R1). However, the relationship between CYP2R1 polymorphisms and lipid metabolism has shown inconsistent results. A case-control study was conducted in a Han Chinese population, including 92 septic patients and 92 polytrauma patients. Based on serum lipid levels, 28 septic patients were further divided into a hyperlipidemia group, while 64 were placed in the control group; similarly, 34 polytrauma patients were categorized into a hyperlipidemia group and 58 into the control group. Genotyping of CYP2R1-rs10741657 was performed and serum lipid levels were measured. The Genotype-Tissue Expression project was used to assess expression quantitative trait loci for CYP2R1 mRNA expression and rs10741657. The genetic analyses revealed that the G-allele of CYP2R1-rs10741657 was significantly associated with an increased risk of hyperlipidemia in both sepsis (OR = 2.333, 95% CI: 1.227-4.436, P = .010) and polytrauma groups (OR = 4.000, 95% CI: 2.048-7.811, P < .001). Further analysis indicated that the rs10741657 mutation was mainly linked to higher serum high-density lipoprotein cholesterol levels in controls (P < .05). In functional analysis of rs10741657, the mutation was found to be associated with high CYP2R1 mRNA expression in whole blood from expression quantitative trait loci data (P = 3.53 × 10-9). In conclusion, the G-allele of CYP2R1-rs10741657 could elevate high-density lipoprotein cholesterol levels and protect against sepsis development., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Sepsis triggers severe inflammatory responses leading to organ dysfunction and demands early diagnostic and therapeutic intervention. This study identifies differentially expressed genes (DEGs) in sepsis patients using the Gene Expression Omnibus database to find potential diagnostic and therapeutic markers. We analyzed the dataset GSE123731 via GEO2R to detect DEGs, constructed protein-protein interaction networks, and performed transcription factor analyses using Cytoscape. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses were conducted using R and FunRich software. Key genes were validated by Quantitative Reverse Transcription Polymerase Chain and co-immunoprecipitation assays in granulocytes from sepsis patients. We identified 59 DEGs significantly involved in neutrophil degranulation and immune system activation. Cytokine signaling pathways were highlighted in Kyoto Encyclopedia of Genes and Genomes analysis. Co-immunoprecipitation assays confirmed interactions involving matrix metallopeptidase 8, matrix metallopeptidase 9, and arginase 1, supporting their roles as biomarkers. The identified DEGs and validated interactions reveal crucial molecular mechanisms in sepsis, offering new avenues for diagnostic and therapeutic strategies, potentially enhancing patient outcomes., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Sepsis-associated brain injury is associated with deterioration of mental status, persistent cognitive impairment, and morbidity. The SUR1/TRPM4 channel is a nonselective cation channel that is transcriptionally upregulated in the central nervous system with injury, allowing sodium influx, depolarization, cellular swelling, and secondary injury. We hypothesized that genetic variation in ABCC8 (SUR1 gene) and TRPM4 would associate with central nervous system dysfunction in severe pediatric sepsis. Methods: 326 children with severe sepsis underwent whole exome sequencing in an observational cohort. We compared children with and without central nervous system dysfunction (Glasgow Coma Scale <12) to assess for associations with clinical characteristics and pooled rare variants in ABCC8 and TRPM4. Sites of variation were mapped onto protein structure and assessed for phenotypic impact. Results: Pooled rare variants in either ABCC8 or TRPM4 associated with decreased odds of central nervous system dysfunction in severe pediatric sepsis (OR 0.14, 95% CI 0.003-0.87), P = 0.025). This association persisted following adjustment for race, organ failure, viral infection, and continuous renal replacement therapy (aOR 0.11, 95% CI 0.01-0.59, P = 0.038). Structural mapping showed that rare variants concentrated in the nucleotide-binding domains of ABCC8 and N-terminal melastatin homology region of TRPM4 . Conclusion : This study suggests a role for the ABCC8/TRPM4 channel in central nervous system dysfunction in severe pediatric sepsis. Although exploratory, the lack of therapies to prevent or mitigate central nervous system dysfunction in pediatric sepsis warrants further studies to clarify the mechanism and confirm the potential protective effect of these rare ABCC8/TRPM4 variants., Competing Interests: The remaining authors report no conflicts of interest., (Copyright © 2024 by the Shock Society.)

Abstract: Background: Recent observational studies have suggested that osteoporosis may be a risk factor for sepsis. To mitigate confounding factors and establish the causal relationship between sepsis and osteoporosis, we conducted a two-sample Mendelian randomization analysis using publicly available summary statistics. Methods: Utilizing summary data from FinnGen Biobank, we employed a two-sample Mendelian randomization (MR) analysis to predict the causal relationship between osteoporosis and sepsis. The MR analysis primarily utilized the inverse variance weighted (IVW) method, supplemented by MR-Egger, weighted median, weighted mode, and simple mode analyses, with Bayesian weighted MR (BWMR) analysis employed for result validation. Sensitivity analyses included MR-PRESSO, "leave-one-out" analysis, MR-Egger regression, and Cochran Q test. Results: In the European population, an increase of one standard deviation in osteoporosis was associated with an 11% increased risk of sepsis, with an odds ratio (OR) of 1.11 (95% CI, 1.06-1.16; P = 3.75E-06). BWMR yielded an OR of 1.11 (95% CI, 1.06-1.67; P = 1.21E-05), suggesting osteoporosis as a risk factor for sepsis. Conversely, an increase of one standard deviation in sepsis was associated with a 26% increased risk of osteoporosis, with an OR of 1.26 (95% CI, 1.11-1.16; P = 0.45E-03). BWMR yielded an OR of 1.26 (95% CI, 1.09-1.45; P = 1.45E-03), supporting sepsis as a risk factor for osteoporosis. Conclusion: There is an association between osteoporosis and sepsis, with osteoporosis serving as a risk factor for the development of sepsis, while sepsis may also promote the progression of osteoporosis., Competing Interests: Conflicts of interest: The authors declare no conflicts of interest in this work., (Copyright © 2024 by the Shock Society.)

Recent empirical research posits a link between lymphocyte subgroups and both the incidence and prognosis of sepsis. Nevertheless, the potential influence of multiple confounding variables obscures any clear causative correlation. Utilizing a 2-sample Mendelian randomization approach, we conducted a meta-analysis of lymphocyte subgroups. In a genome-wide association study, flow cytometry was applied to a lymphocyte subgroup comprising 3757 Sardinians to identify genes influenced by blood immune cells. The sepsis meta-analysis data were sourced from the UK Biobank database, including 11,643 treatment groups and 47,841 control groups. Inverse variance-weighted, Mendelian randomization-Egger regression, weighted median, simple mode, and weighted mode methods were deployed to ascertain the causative relationship between lymphocyte subgroup and sepsis. Cochran Q test, the Mendelian randomization-Egger intercept test, and funnel plots were leveraged to assess the robustness of study findings. The inverse variance-weighted analysis disclosed that the absolute count of CD4 regulatory T cells (CD4 Treg AC) within the lymphocyte subgroup has a causative link to an elevated risk of sepsis, with an odds ratio of 1.08 and a 95% confidence interval of 1.02 to 1.15 (P = .011). Compared to individuals not subjected to this factor, those exposed to CD4 Treg AC have a marginally elevated sepsis risk by approximately 0.08%. No causative relationships were observed between sepsis risk and the absolute counts of other lymphocyte subgroups such as CD8+ T cells, CD4+ CD8dim T cells, natural killer T cells, B cells (B cell absolute count), and HLA DR+ natural killer cells. The 2-sample Mendelian randomization study indicated a causal relationship between the level of CD4 Treg AC and the increased risk of sepsis. The elevation in circulating lymphocyte subgroups suggests higher susceptibility to sepsis, affirming the immune susceptibility inherent to this condition. The findings from our study may propose potential targets for diagnosis and intervention of sepsis., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Sepsis, a multifaceted syndrome driven by an imbalanced host response to infection, remains a significant medical challenge. At its core lies the pivotal role of glycolysis, orchestrating immune responses especially in severe sepsis. The intertwined dynamics between glycolysis, sepsis, and immunity, however, have gaps in knowledge with several Crucial genes still shrouded in ambiguity. We harvested transcriptomic profiles from the peripheral blood of 107 septic patients juxtaposed against 29 healthy controls. Delving into this dataset, differential expression analysis shed light on genes distinctly linked to glycolysis in both cohorts. Harnessing the prowess of LASSO regression and SVM-RFE, we isolated Crucial genes, paving the way for a sepsis risk prediction model, subsequently vetted via Calibration and decision curve analysis. Using the CIBERSORT algorithm, we further mapped 22 immune cell subtypes within the septic samples, establishing potential interactions with the delineated Crucial genes. Our efforts unveiled 21 genes intricately tied to glycolysis that exhibited differential expression patterns. Gene set enrichment analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses offered insights, spotlighting pathways predominantly associated with oxidative phosphorylation, PPAR signaling pathway, Glycolysis/Gluconeogenesis and HIF-1 signaling pathway. Among the myriad genes, IER3, DSC2, and PPARG emerged as linchpins, their prominence in sepsis further validated through ROC analytics. These sentinel genes demonstrated profound affiliations with various immune cell facets, bridging the complex terrain of glycolysis, sepsis, and immune responses. In line with our endeavor to "unveil the glycolysis in sepsis," the discovery of IER3, DSC2, and PPARG reinforces their cardinal roles in sepsis pathogenesis. These revelations accentuate the intricate dance between glycolysis and immunological shifts in septic conditions, offering novel avenues for therapeutic interventions., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Sepsis is an infection-induced systemic inflammatory response syndrome. Immune regulation plays a crucial role in sepsis. We looked into the link between immune effector-related proteins and sepsis in this study by using both univariate and multivariate Mendelian randomization (MR) analyses. We accessed and collected data from the Integrative Epidemiology Unit's Open About Sepsis genome-wide association study database. The 6 immune effector-associated proteins each contained 10,534,735 single-nucleotide polymorphisms from 3301 samples. Using the weighted median, MR-Egger, simplex, inverse-variance weighting, and weighted mode methods, univariate MR then investigated the link between complement factor H-related protein-5 (CFHR5), Fc epsilon receptor II (FCER2), granzyme B (GZMB), major histocompatibility complex, class II, DQ alpha (HLA-DQA2), mannose-binding lectin 2 (MBL2), or myeloperoxidase (MPO) and sepsis. In the inverse-variance weighted results, the P values of all 6 immune effector-related proteins were <0.05, suggesting a possible causal relationship between them and sepsis. MBL2 (odds ratio [OR] = 1.046) was a risk factor for sepsis, while the other proteins (FCER2: OR = 0.922; GZMB: OR = 0.908; CFHR5: OR = 0.858; HLA-DQA2: OR = 0.896; MPO: OR = 0.875) were safety factors. By revealing a causal link between sepsis and CFHR5, FCER2, GZMB, HLA-DQA2, MBL2, or MPO, our study offers an essential resource for additional investigations on the subject., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Previous research has shown a strong correlation between sepsis and brain structure. However, whether this relationship represents a causality remains elusive. In this study, we employed Mendelian randomization (MR) to probe the associations of genetically predicted sepsis and sepsis-related death with structural changes in specific brain regions. Genome-wide association study (GWAS) data for sepsis phenotypes (sepsis and sepsis-related death) were obtained from the IEU OpenGWAS. Correspondingly, GWAS data for brain structural traits (volume of the subcortical structure, cortical thickness, and surface area) were derived from the ENIGMA consortium. Inverse variance weighted was mainly utilized to assess the causal effects, while weighted median and MR-Egger regression served as complementary methods. Sensitivity analyses were implemented with Cochran Q test, MR-Egger regression, and MR-PRESSO. In addition, a reverse MR analysis was carried out to assess the possibility of reverse causation. We identified that genetic liability to sepsis was normally significantly associated with a reduced surface area of the postcentral gyrus (β = -35.5280, SE = 13.7465, P = .0096). The genetic liability to sepsis-related death showed a suggestive positive correlation with the surface area of fusiform gyrus (β = 11.0920, SE = 3.6412, P = .0023) and posterior cingulate gyrus (β = 3.6530, SE = 1.6684, P = .0286), While it presented a suggestive negative correlation with surface area of the caudal middle frontal gyrus (β = -11.4586, SE = 5.1501, P = .0261) and frontal pole (β = -1.0024, SE = 0.4329, P = .0206). We also indicated a possible bidirectional causal association between genetic liability to sepsis-related death and the thickness of the transverse temporal gyrus. Sensitivity analyses verified the robustness of the above associations. These findings suggested that genetically determined liability to sepsis might influence the specific brain structure in a causal way, offering new perspectives to investigate the mechanism of sepsis-related neuropsychiatric disorders., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Sepsis, a complex and multifaceted condition, is a common occurrence with serious implications for critically ill patients in the intensive care unit (ICU). The YWHAH gene encodes the 14-3-3n protein, a member of the 14-3-3 protein family. While existing research primarily focuses on the role of 14-3-3n in conditions such as schizophrenia and various cancers, our study revealed that the expression of the YWHAH gene remained relatively stable in both infected individuals and healthy controls. Through Venn plot analysis following weighted gene correlation network analysis, we observed a potential association between elevated YWHAH expression and the transition from infection to sepsis. In a comprehensive analysis of public single-cell transcriptome databases, the expression of YWHAH was found to be distinctive in cases of sepsis and infection. These findings were corroborated through an in vitro analysis utilizing real-time polymerase chain reaction. This study represents the initial identification of variations in YWHAH gene expression between patients with infection and sepsis, potentially offering insights for the development of early detection and treatment strategies for sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Sepsis is a life-threatening disease due to a dysregulated host response to infection, with an unknown regulatory mechanism for prognostic necroptosis-related genes (NRGs). Using GEO datasets GSE65682 and GSE134347, we identified six NRG biomarkers ( ATRX , TSC1 , CD40 , BACH2 , BCL2 , and LEF1 ) with survival and diagnostic significance through Kaplan-Meier (KM) and receiver operating characteristic (ROC) analyses. Afterward, the ingenuity pathway analysis (IPA) highlighted enrichment in hepatic fibrosis pathways and BEX2 protein. Moreover, we examined their regulatory targets and functional links with necroptotic signaling molecules via miRDB, TargetScan, Network analyst, and GeneMANIA. The molecular regulatory network displayed that hsa-miR-5195-3p and hsa-miR-145-5p regulated ATRX, BACH2, and CD40, while YY1 showed strong connectivity, concurrently controlling LEF1, ATRX, BCL2, BACH2, and CD40. CD40 exhibited similar expression patterns to RIPK3 and MLKL, and LEF1 was functionally associated with MLKL. Additionally, DrugBank analysis identified paclitaxel, docetaxel, and rasagiline as potential BCL2-targeting sepsis treatments. Finally, real-time quantitative PCR confirmed ATRX, TSC1, and LEF1 downregulation in sepsis samples, contrasting CD40's increased expression in CTL samples. In conclusion, ATRX , TSC1 , CD40 , BACH2 , BCL2 , and LEF1 may be critical regulatory targets of necroptosis in sepsis, providing a basis for further necroptosis-related studies in sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Sepsis is a highly prevalent and deadly disease. Currently, there is a lack of ideal biomarker prognostis models for sepsis. We attempt to construct a model capable of predicting the prognosis of sepsis patients by integrating transcriptomic and proteomic data. Through analysis of proteomic and transcriptomic data, we identified 25 differentially expressed genes (DEGs). Single-factor Cox-Lasso regression analysis identified 16 DEGs (overall survival-DEGs) associated with patient prognosis. Through multifactor Cox-Lasso regression analysis, a prognostic model based on these 16 genes was constructed. Kaplan-Meier survival analysis and receiver operating characteristic curve analysis were used to further validate the high stability and good predictive ability of this prognostic model with internal and external data. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of overall survival-DEGs and differentially expressed genes between high and low-risk groups based on the prognostic model revealed significant enrichment in immune-related pathways, particularly those associated with viral regulation., Competing Interests: The author reports no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American College of Sports Medicine.)

Abstract: The study aimed to investigate the pathogenesis of sepsis-induced cardiomyopathy, a leading cause of mortality in septic patients. Transcriptome data from cecal ligation and puncture-induced septic mice were analyzed at different time points (24, 48, and 72 hours) using GSE171546 data. Through weighted gene co-expression network analysis, time series, and differential expression analyses, key time-series differentially expressed genes were identified. In addition, single-cell sequencing data (GSE207363) were used for both differential and pseudotime analyses to pinpoint differentially expressed genes specific to endothelial cells. The study highlighted Spock2, S100a9, S100a8, and Xdh as differential genes specific to endothelial cells in a time-dependent manner. Immunofluorescence validation confirmed the increased expression of SPOCK2 in the endothelial cells of cecal ligation and puncture-induced septic mice. Furthermore, in vitrostudies showed that deletion of Spock2 significantly increased LPS-induced apoptosis and necrosis in human umbilical vein endothelial cells. In conclusion, SPOCK2 expression was increased in septic cardiac endothelial cells and LPS-induced human umbilical vein endothelial cells and may play a protective role., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Abstract: Background: The association between sepsis and noninfectious respiratory diseases is well-documented, yet the specific causal link between the two remains unclear. In order to explore this relationship further, we employed a Mendelian randomization (MR) analysis utilizing data from the UK Biobank and FinnGen Biobank. Methods: We analyzed the summary statistics of a genome-wide association study summary statistics for chronic obstructive pulmonary disease (COPD), asthma, pulmonary embolism (PE), idiopathic pulmonary fibrosis (IPF), obstructive sleep apnea (OSA), lung cancer, sepsis, and sepsis-related mortality. We employed the inverse-variance weighted (IVW) method and four additional MR methods. Heterogeneity and horizontal pleiotropy were assessed using the Cochrane's Q test, MR-Egger intercept, and MR-PRESSO test. A sensitivity analysis was also performed. Results: MR analysis showed associations between COPD and lung cancer with increased sepsis risk (odds ratio (OR)IVW 1.138, P = 0.006; (OR)IVW 1.123, P = 0.031; respectively) and sepsis mortality ((OR)IVW 1.350, P = 0.022; (OR)IVW 1.312, P = 0.022; respectively). Asthma exhibited a potential protective effect against sepsis mortality ((OR)IVW = 0.300, P = 0.039), while PE demonstrated a risk effect ((OR)IVW = 1.148, P = 0.032). No causal association was observed between asthma, PE, and sepsis ( P > 0.05). IPF and OSA were not significantly associated with sepsis or sepsis-related mortality ( P > 0.05). Heterogeneity and horizontal pleiotropy were not evident for asthma or lung cancer ( P > 0.05). However, horizontal pleiotropy was suggested for COPD by the MR-Egger regression ( P < 0.05), but not by the MR-PRESSO test ( P > 0.05). IPF and OSA were not significantly associated with sepsis or sepsis-related mortality ( P > 0.05). Conclusion: Our MR analysis offers new insights into potential links between noninfectious respiratory diseases and the risk of sepsis. However, additional investigation into the underlying mechanisms and clinical studies are necessary to confirm these findings., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Postsepsis early mortality is being replaced by survivors who experience either a rapid recovery and favorable hospital discharge or the development of chronic critical illness with suboptimal outcomes. The underlying immunological response that determines these clinical trajectories remains poorly defined at the transcriptomic level. As classical and nonclassical monocytes are key leukocytes in both the innate and adaptive immune systems, we sought to delineate the transcriptomic response of these cell types. Using single-cell RNA sequencing and pathway analyses, we identified gene expression patterns between these two groups that are consistent with differences in TNF-α production based on clinical outcome. This may provide therapeutic targets for those at risk for chronic critical illness in order to improve their phenotype/endotype, morbidity, and long-term mortality., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 by the Shock Society.)

This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to discover and validate molecular biomarkers for sepsis diagnosis. Methods include differential expression analysis, weighted gene co-expression network analysis (WGCNA) for identifying sepsis-related modules and hub genes, and functional enrichment analyses to explore the roles of hub genes. Machine learning algorithms identify 3 diagnostic genes - CD177, LDHA, and MCEMP1 - consistently highly expressed in sepsis patients. The nomogram model effectively predicts sepsis risk, supported by receiver operator characteristic (ROC) curves. Correlations between diagnostic genes and immune cell infiltration are observed. MR analysis reveals a positive causal relationship between MCEMP1 and sepsis risk. In conclusion, this study presents potential sepsis diagnostic biomarkers, highlighting the genetic association of MCEMP1 with sepsis for insights into early diagnosis., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Objective: Several epidemiological studies have identified a potential link between serum uric acid (UA), gout, and sepsis. The primary objective of this study is to delve deeper into this connection, investigating the causal effect of UA and gout on sepsis by applying Mendelian randomization (MR). Methods: The causal relationship was analyzed using data from Genome-Wide Association Study (GWAS). Inverse variance weighting (IVW) was used as the main analysis method. Three complementary methods were used for our MR analysis, which included the MR-Egger regression method, the weighted median method, the simple median method. Horizontal pleiotropy was identified by MR-Egger intercept test. Cochran's Q statistics were employed to assess the existence of instrument heterogeneity. The leave-one-out method was used as a sensitivity analysis. Results: The IVW results indicated that there was a positive causal relationship between UA and sepsis (critical care) (odds ratio [OR] = 0.24, 95% confidence interval [CI]: 0.04 to 0.43, P = 0.018, F = 4,291.20). There was no significant association between UA and sepsis (28-day death in critical care) (OR = 0.10, 95% CI = -0.29 to 0.50, P = 0.604). There was no significant association between gout and sepsis (critical care) (OR = 0.85, 95% CI = -4.87 to 6.57, P = 0.771), and sepsis (28-day death in critical care) (OR = -6.30, 95% CI = -17.41 to 4.81, P = 0.267). Horizontal pleiotropy was absent in this study. The results were robust under all sensitivity analyses. Conclusion: The study revealed that elevated UA levels were causally linked with sepsis (critical care). No causal relationship had been found between UA and sepsis (28-day death in critical care), as well as between gout and sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 by the Shock Society.)

Abstract: Objective: We conducted a two-sample bidirectional Mendelian randomization (MR) study to investigate the causal relationships between herpes viruses and sepsis. Methods: Publicly available genome-wide association study data were used. Four viruses, HSV-1, HSV-2, EBV, and CMV, were selected, with serum positivity and levels of antibody in serum as the herpes virus data. Results: In forward MR, susceptibility to HSV-1 was a risk factor for sepsis. The susceptibility to CMV showed a severity-dependent effect on sepsis and was a risk factor for the 28-day mortality from sepsis, and was also a risk factor for 28-day sepsis mortality in critical care admission. The EBV EA-D antibody level after EBV infection was a protective factor for 28-day sepsis mortality in critical care admission, and CMV pp28 antibody level was a risk factor for 28-day sepsis mortality in critical care admission. No statistically significant causal relationships between HSV-2 and sepsis were found. No exposures having statistically significant association with sepsis critical care admission as an outcome were found. In reverse MR, the sepsis critical care admission group manifested a decrease in CMV pp52 antibody levels. No causal relationships with statistical significance between sepsis exposure and other herpes virus outcomes were found. Conclusion: Our study identifies HSV-1 susceptibility as a sepsis risk, with CMV susceptibility elevating severity. Varied effects of EBV and CMV antibodies on sepsis severity are noted. Severe sepsis results in a decline in CMV antibody levels. Our results help prognostic and predictive enrichment and offer valuable information for precision sepsis treatment., Competing Interests: The authors report no conflicts of interest., (Copyright © 2024 by the Shock Society.)

Patients with severe COVID-19 and those with sepsis have similar clinical manifestations. We used bioinformatics methods to identify the common hub genes in these 2 diseases. Two RNA-seq datasets from the Gene Expression Omnibus were used to identify common differentially expressed genes (DEGs) in COVID-19 and sepsis. These common genes were used for analysis of functional enrichment; pathway analysis; identification of associated transcription factors, metabolites, and miRNAs; and mapping of protein-protein interaction networks. The major hub genes of COVID-19 and sepsis were identified, and validation datasets were used to assess the value of these hub genes using receiver operating characteristic (ROC) curves. Analysis of the 800 common DEGs for COVID-19 and sepsis, as well as common transcription factors, miRNAs, and metabolites, demonstrated that the immune response had a key role in both diseases. DLGAP5, BUB1, CDK1, CCNB1, and BUB1B were the most important common hub genes. Analysis of a validation cohort indicated these 5 genes had significantly higher expression in COVID-19 patients and sepsis patients than in corresponding controls, and the area under the ROC curves ranged from 0.832 to 0.981 for COVID-19 and 0.840 to 0.930 for sepsis. We used bioinformatics tools to identify common DEGs, miRNAs, and transcription factors for COVID-19 and sepsis. The 5 identified hub genes had higher expression in validation cohorts of COVID-19 and sepsis. These genes had good or excellent diagnostic performance based on ROC analysis, and therefore have potential use as novel markers or therapeutic targets., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Background: Sepsis-induced myopathy (SIM) a complication of sepsis that results in prolonged mechanical ventilation, long-term functional disability, and increased patient mortality. This study was performed to identify potential key oxidative stress-related genes (OS-genes) as biomarkers for the diagnosis of SIM using bioinformatics., Methods: The GSE13205 was obtained from the Gene Expression Omnibus (GEO) database, including 13 SIM samples and 8 healthy samples, and the differentially expressed genes (DEGs) were identified by limma package in R language. Simultaneously, we searched for the genes related to oxidative stress in the Gene Ontology (GO) database. The intersection of the genes selected from the GO database and the genes from the GSE13205 was considered as OS-genes of SIM, where the differential genes were regarded as OS-DEGs. OS-DEGs were analyzed using GO enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and protein-protein interaction (PPI) networks. Hub genes in OS-DEGs were selected based on degree, and diagnostic genes were further screened by gene expression and receiver operating characteristic (ROC) curve. Finally, a miRNA-gene network of diagnostic genes was constructed., Results: A total of 1089 DEGs were screened from the GSE13205, and 453 OS-genes were identified from the GO database. The overlapping DEGs and OS-genes constituted 25 OS-DEGs, including 15 significantly upregulated and 10 significantly downregulated genes. The top 10 hub genes, including CD36, GPX3, NQO1, GSR, TP53, IDH1, BCL2, HMOX1, JAK2, and FOXO1, were screened. Furthermore, 5 diagnostic genes were identified: CD36, GPX3, NQO1, GSR, and TP53. The ROC analysis showed that the respective area under the curves (AUCs) of CD36, GPX3, NQO1, GSR, and TP53 were 0.990, 0.981, 0.971, 0.971, and 0.971, which meant these genes had very high diagnostic values of SIM. Finally, based on these 5 diagnostic genes, we found that miR-124-3p and miR-16-5p may be potential targets for the treatment of SIM., Conclusions: The results of this study suggest that OS-genes might play an important role in SIM. CD36, GPX3, NQO1, GSR, and TP53 have potential as specific biomarkers for the diagnosis of SIM., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background : Sepsis-induced cardiomyopathy ( SIC ) is a common complication of sepsis with high morbidity and mortality but lacks specific therapy. The purpose of this study was to investigate the role of circularRNA&#95;0003907 (circ&#95;0003907) in myocardium injury induced by sepsis. Methods: In this experiment, human AC16 cells were treated with lipopolysaccharide (LPS) to induce an in vitro cardiomyocyte injury model. Expression of circ&#95;0003907, microRNA-944 (miR-944), and MYD88 was detected using quantitative real-time polymerase chain reaction. Cell proliferation and apoptosis were assessed using 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide, thymidine analog 5-ethynyl-2'-deoxyuridine, and flow cytometry assays. Secretions of proinflammatory cytokines IL-6 and TNF-α were detected using ELISA kits. Superoxide dismutase (SOD) activity and malondialdehyde (MDA) level were detected using special kits. Protein levels of cyclin D1, cleaved caspase-3, MYD88, NLRP3, P65, and IκBα were determined using western blot assay. After being predicted using Circineractome and starBase, the interaction between miR-944 and circ&#95;0003907 or MYD88 was confirmed using dual-luciferase reporter and RNA immunoprecipitation assays. Results: Circ&#95;0003907 expression was increased in serum from SIC patients and in LPS-treated AC16 cells. Circ&#95;0003907 knockdown might abolish LPS-triggered proliferation inhibition, and the promotion of apoptosis, inflammatory response, and oxidative stress in AC16 cells. In mechanism, circ&#95;0003907 acted as a sponge for miR-944 to increase MYD88 expression. Meanwhile, the absence of circ&#95;0003907 induced miR-944 expression and suppressed MYD88/NLRP3/NF-κB levels. Conclusion: Circ&#95;0003907 sponged miR-944 to aggravate LPS-induced AC16 cell dysfunction via activating the MYD88/NLRP3/NF-κB axis during sepsis, which might provide a new direction for the treatment of SIC ., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Objective : Numerous epidemiological studies have identified a potential link between sepsis and a variety of autoimmune disorders. The primary objective of this study is to delve deeper into this connection, investigating the potential causal relationship between sepsis and autoimmune disorders through the application of Mendelian randomization (MR). Methods : To assess the potential genetic impact on sepsis risk relating to susceptibility toward immune-related outcomes, we used summary data from the largest European genome-wide association studies (GWAS) on these conditions using a two-sample MR framework. Single nucleotide polymorphisms-which had strong associations with the nine traits-were extracted from the GWAS and examined their effects in an extensive European sepsis GWAS (486,484 cases and 474,841 controls). We used inverse-variance weighted MR, weighted median, and MR Egger for analyses, supplementing these with sensitivity analyses and assessing level pleiotropy using MR methodologies. We also executed a reverse MR analysis to test sepsis' causal effects on the designated autoimmune traits. Results : With primary sclerosing cholangitis being the exception, our MR analysis suggests that susceptibility toward most autoimmune diseases does not affect sepsis risks. The reverse MR analysis did not validate any influence of sepsis susceptibility over other autoimmune diseases. Our primary inverse-variance weighted MR analysis outcomes found general confirmation through our sensitivity MR examinations. Variance in the exposures, as dictated by the single nucleotide polymorphism sets used as MR instruments, ranged between 4.88 × 10 -5 to 0.005. Conclusion : Our MR research, centered on a European population, does not validate a correlation between susceptibility to the majority of autoimmune disorders and sepsis risk. Associations discerned in epidemiological studies may owe partly to shared biological or environmental confounders. The risk susceptibility for primary sclerosing cholangitis does relate to sepsis risk, opening doors for personalized precision treatments in the future., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Objective: The role of immune cells in sepsis remains unclear, and there is some controversy. Here, we aim to systematically assess whether distinct immune cell phenotypes impact the susceptibility to sepsis. Methods: In this study, we harnessed publicly available summary-level data from genome-wide association studies (GWASs). The selection of genetic variations strongly associated with 731 phenotypes of circulating immune cells served as instrumental variables (IVs). Using a two-sample Mendelian randomization (MR) analysis, we investigated the relationships between different immunophenotypes and the occurrence of sepsis, as well as the 28-day mortality. The MR study utilized the inverse variance weighting (IVW) method as the main analytical approach. In addition, we incorporated four other MR methods for supplementary causal inference, including weighted median (WME), MR-Egger regression, simple mode, and weighted mode. Furthermore, the robustness of the results was affirmed through multiple sensitivity analyses. Results: The results of the IVW method indicated that a total of 36 immunophenotypes are associated with the risk of sepsis. We also identified 34 immunophenotypes with a causal association with the 28-day mortality. Interestingly, before multiple testing corrections, 11 immunophenotypes were determined to have consistent causal relationships with both the occurrence of sepsis and the 28-day mortality. Notably, after false discovery rate (FDR) correction, four immunophenotypes were found to be significantly correlated with susceptibility to sepsis: CD45RA- CD4+ %CD4+ (odds ratio [OR], 1.355; 95% confidence interval [CI], 1.139~1.611; P < 0.001, PFDR = 0.192), HLA DR on HLA DR+ NK (OR, 0.818; 95% CI, 0.726~0.922; P = 0.001, PFDR = 0.192), IgD+ CD24+ %B cell (OR, 0.626; 95% CI, 0.473~0.828; P = 0.001, PFDR = 0.192), and TD DN (CD4- CD8-) AC (OR, 0.655; 95% CI, 0.510~0.840; P < 0.001, PFDR = 0.192). Following FDR correction, only one immunophenotype was confirmed to be negatively correlated with the 28-day mortality: CD39 on CD39+ CD8br (OR, 0.820; 95% CI, 0.737~0.912; P < 0.001, PFDR = 0.184). Conclusion: This study, for the first time, has uncovered indicative evidence of a causal relationship between circulating immune cell phenotypes and varying degrees of sepsis through genetic means. These findings underscore the significance of immune cells in the pathogenesis of sepsis., Competing Interests: The author reports no conflicts of interest., (Copyright © 2024 by the Shock Society.)

Abstract: Background: Sepsis is a systemic inflammatory disease that can cause multiple organ damage. Circular RNAs (circRNAs) have been reported to play a regulatory role in sepsis-induced acute kidney injury (AKI); however, the role of circ&#95;0114428 has not been studied. Methods: In this study, HK2 cells were treated with different concentrations of LPS to induce cell damage, and then the expressions of circ&#95;0114428, microRNA-215-5p (miR-215-5p), and tumor necrosis factor receptor-associated factor 6 (TRAF6) were detected by quantitative real-time polymerase chain reaction (qRT-PCR), and Western blot examined the Bax and cleaved-Caspase-3 proteins. Cell proliferation was detected by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay and thymidine analog 5-ethynyl-2'-deoxyuridine (EdU) assay. In addition, cell apoptosis was detected by flow cytometry, and the levels of inflammatory factors were detected by enzyme-linked immunosorbent assay. Results: After LPS treatment with different concentrations, we found that LPS at 10 μg/mL had the best effect on HK2 cells. Circ&#95;0114428 was highly expressed in sepsis-AKI patients and LPS-treated HK2 cells. Knockdown of circ&#95;0114428 restored the effects of LPS treatment on proliferation, apoptosis, and inflammatory response of HK2 cells. MiR-215-5p was a target of circ&#95;0114428, and TRAF6 was a downstream target of miR-215-5p. Circ&#95;0114428 regulated TRAF6 expression by sponging miR-215-5p in LPS-treated HK2 cells. Circ&#95;0114428 regulated LPS-induced NF-κB signaling in HK2 cells by targeting miR-215-5p/TRAF6 axis. Conclusion: Circ&#95;0114428 knockdown abolished the cell proliferation, apoptosis, and inflammatory damage in LPS-induced HK2 cells by targeting miR-215-5p/TRAF6/NF-κB., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Sepsis is a leading cause of mortality in intensive care units. Sepsis is associated with activation of the coagulation cascade and inflammation. The aim of this study was to identify coagulation-related genes in sepsis that may provide translational potential therapeutic targets. The datasets GSE28750, GSE95233, and GSE65682 were downloaded from the gene expression omnibus database. Consensus-weighted gene co-expression network analysis (WGCNA) was used to identify sepsis modules. Gene set enrichment analysis was used to identify genes enriched in the coagulation cascade. The value of hub-gene in immunological analysis was tested in the validation sets (GSE95233). The value of hub-gene in clinical prognosis was tested in the validation sets (GSE65582). One thousand one hundred seventy-six genes with high connectivity in the clinically significant module were identified as hub genes. Ten genes were found to be enriched in coagulation-related signaling pathways. C3AR1 was selected for further analysis. The immune infiltration analysis showed that lower expression of C3AR1 was associated with immune response in sepsis and could be an independent predictor of survival status in sepsis patients. Meanwhile, univariate and multivariate Cox analysis showed that C3AR1 had a significant correlation with survival. C3AR1 may become an effective biomarker for worse outcomes in sepsis patients associated with immune and coagulation cascade., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Sepsis is a syndrome characterized by a systemic inflammatory response due to the invasion of pathogenic microorganisms. The relationship between Lipocalin-2 (LCN2), elastase, neutrophil expressed (ELANE) and sepsis remains unclear. The sepsis datasets GSE137340 and GSE154918 profiles were downloaded from gene expression omnibus generated from GPL10558. Batch normalization, differentially expressed Genes (DEGs) screening, weighted gene co-expression network analysis (WGCNA), functional enrichment analysis, Gene Set Enrichment Analysis (GSEA), immune infiltration analysis, construction and analysis of protein-protein interaction (PPI) networks, Comparative Toxicogenomics Database (CTD) analysis were performed. Gene expression heatmaps were generated. TargetScan was used to screen miRNAs of DEGs. 328 DEGs were identified. According to Gene Ontology (GO), in the Biological Process analysis, they were mainly enriched in immune response, apoptosis, inflammatory response, and immune response regulation signaling pathways. In cellular component analysis, they were mainly enriched in vesicles, cytoplasmic vesicles, and secretory granules. In Molecular Function analysis, they were mainly concentrated in hemoglobin binding, Toll-like receptor binding, immunoglobulin binding, and RAGE receptor binding. In Kyoto Encyclopedia of Genes and Genomes (KEGG), they were mainly enriched in NOD-like receptor signaling pathway, Toll-like receptor signaling pathway, TNF signaling pathway, P53 signaling pathway, and legionellosis. Seventeen modules were generated. The PPI network identified 4 core genes (MPO, ELANE, CTSG, LCN2). Gene expression heatmaps revealed that core genes (MPO, ELANE, CTSG, LCN2) were highly expressed in sepsis samples. CTD analysis found that MPO, ELANE, CTSG and LCN2 were associated with sepsis, peritonitis, meningitis, pneumonia, infection, and inflammation. LCN2 and ELANE are highly expressed in sepsis and may serve as molecular targets., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Circular RNAs have been reported to be involved in regulating the progression of sepsis and sepsis-associated damage. Herein, this work investigated whether circ&#95;0033530 had roles in the process of septic acute lung injury (sepsis-ALI) and its associated mechanism. Methods: Lipopolysaccharide (LPS)-stimulated human lung fibroblasts MRC-5 were used to mimic the cell model of sepsis-ALI in vitro . Levels of genes and proteins were detected by quantitative real-time polymerase chain reaction and Western blotting. Functional experiments were conducted using 5-ethynyl-2'-deoxyuridine assay, Cell Counting Kit-8 assay, flow cytometry, and enzyme-linked immunosorbent assay. The interaction between miR-1184 and circ&#95;0033530 or toll-like receptor 4 (TLR4) was confirmed by dual-luciferase reporter and RNA immunoprecipitation assays. Results: Circ&#95;0033530 expression was lower in sepsis patients and LPS-induced fibroblasts than those in healthy control and untreated cells. Functionally, knockdown of circ&#95;0033530 protected fibroblasts against LPS-induced proliferation arrest, apoptosis, and inflammatory response. Mechanistically, circ&#95;0033530 acted as a sponge for miR-1184, and TLR4 RNA was targeted by miR-1184, indicating the circ&#95;0033530/miR-1184/TLR4 axis. Further rescue experiments showed that circ&#95;0033530 silencing-mediated growth inhibition and inflammation on fibroblasts were attenuated by miR-1184 downregulation or TLR4 upregulation. Conclusion: Circ&#95;0033530 knockdown alleviated LPS-induced proliferation arrest, apoptosis, and inflammation in lung fibroblasts by miR-1184/TLR4 axis, and provided molecular theoretical basis for circ&#95;0033530 on the pathogenesis of sepsis-ALI., Competing Interests: Declaration of interest: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Sepsis is an organ dysfunction caused by a dysregulated host response to infection and remains an ongoing threat to human health worldwide. Septic shock is the most severe subset of sepsis as characterized by abnormalities in cells, circulation, and metabolism. As a time-dependent condition, early recognition allowing appropriate therapeutic measures to be started in a timely manner becomes the most effective way to improve prognosis. However, because of the lack of a criterion standard, most diagnoses merely rely on medical history, empirical diagnosis, and blood culture results. Gene expression profiles have specific diagnostic value, as they reflect a subjective host response to pathogens. We propose a method, Condition Control based on Real-life Medical Scenarios, to control for factors in realistic medical scenarios. Restricted variables are used as much as possible to identify unique differential genes and progressively test their diagnostic value by relaxing restrictions. In total, three data sets were included in the study; the first two data sets were from the Gene Expression Omnibus database, and the third involved patients who were diagnosed with sepsis or septic shock within 7 days of admission to the intensive care unit at West China Hospital of Sichuan University from 2020 to 2021. DDX47 showed preferable diagnostic value in various scenarios, especially in patients with common infections or sepsis and septic shock. Here we also show that hub genes may regulate immune function and immune cell counts through the interaction of different apoptotic pathways and immune checkpoints based on the high correlation. DDX47 is closely associated with B cells according to single-cell sequencing results., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Background: Sepsis is a life-threatening systemic inflammatory disease that can cause many diseases, including acute kidney injury (AKI). Increasing evidence showed that a variety of circular RNAs were considered to be involved in the development of the disease. In this study, we aimed to elucidate the role and potential mechanism of circUSP42 in sepsis-induced AKI. Methods: HK2 cells were treated with lipopolysaccharide (LPS) to establish septic AKI cell model. The expression levels of circUSP42, microRNA-182-5p (miR-182-5p), and DUSP1 in LPS-treated HK2 cells were measured by quantitative real-time polymerase chain reaction or Western blot. Functional experiments were performed by using Cell Counting Kit-8, 5-ethynyl-2'-deoxyuridine staining, flow cytometry, oxidative stress assay, and enzyme-linked immunosorbent assay. The potential target binding site between miR-182-5p and CircUSP42 or DUSP1 was verified by dual-luciferase reporter and RNA immunoprecipitation assays. Results: CircUSP42 and DUSP1 were downregulated in serum samples from patients with AKI and LPS-treated HK2 cells, while miR-182-5p was upregulated. Functionally, overexpression of CircUSP42 promoted cell proliferation and inhibited apoptosis, inflammation, and oxidative stress in LPS-triggered HK2 cells. Further mechanism analysis showed that miR-182-5p had potential binding sites with circUSP42 and DUSP1, and circUSP42 regulated LPS-induced cell damage by targeting miR-182-5p. At the same time, miR-182-5p knockdown inhibited LPS-treated HK2 cell damage by regulating DUSP1. In addition, circUSP42 induced DUSP1 expression via sponging miR-182-5p to ameliorate LPS-induced HK2 cell damage. Conclusion : Our results showed that circUSP42 overexpression might attenuate LPS-induced HK2 cell injury by regulating miR-182-5p/DUSP1 axis. This might provide therapeutic strategy for the treatment of sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Sepsis remains a major challenge that necessitates improved approaches to enhance patient outcomes. This study explored the potential of machine learning (ML) techniques to bridge the gap between clinical data and gene expression information to better predict and understand sepsis. We discuss the application of ML algorithms, including neural networks, deep learning, and ensemble methods, to address key evidence gaps and overcome the challenges in sepsis research. The lack of a clear definition of sepsis is highlighted as a major hurdle, but ML models offer a workaround by focusing on endpoint prediction. We emphasize the significance of gene transcript information and its use in ML models to provide insights into sepsis pathophysiology and biomarker identification. Temporal analysis and integration of gene expression data further enhance the accuracy and predictive capabilities of ML models for sepsis. Although challenges such as interpretability and bias exist, ML research offers exciting prospects for addressing critical clinical problems, improving sepsis management, and advancing precision medicine approaches. Collaborative efforts between clinicians and data scientists are essential for the successful implementation and translation of ML models into clinical practice. Machine learning has the potential to revolutionize our understanding of sepsis and significantly improve patient outcomes. Further research and collaboration between clinicians and data scientists are needed to fully understand the potential of ML in sepsis management., Competing Interests: Conflict of interest declaration: The authors declare that they have no affiliations with or involvement in any organization or entity with any financial interest in the subject matter or materials discussed in this manuscript., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Although observational studies have indicated that plasma lipids are associated with an increased risk of sepsis, due to confounders and reverse causality, the causal relationship remains unclear. This study was designed to assess the causal effects of plasma lipid levels on sepsis. We used a 2-sample Mendelian randomization (MR) method to evaluate the causal effect of plasma lipids on sepsis. MR analysis employs methods such as inverse variance weighted, MR-Egger regression, weighted median regression (WME), simple mode and weighted mode. The inverse variance weighted (IVW) method was predominantly utilized to assess causality. Heterogeneity was affirmed by Cochran Q test, while pleiotropy was corroborated by MR-Egger regression analysis. The robustness and reliability of the results were demonstrated through "leave-one-out" sensitivity analysis. Instrumental variables included 226 single-nucleotide polymorphisms (SNPs), comprising of 7 for triglyceride (TG), 169 for high-density lipoprotein cholesterol (HDL-C), and 50 for low-density lipoprotein cholesterol (LDL-C). The risk of sepsis appeared to increase with rising LDL-C levels, as indicated by the inverse variance weighted analysis (OR 1.11, 95% CI from0.99 to1.24, P = 0.068). However, no causality existed between LDL-C, HDL-C, TG and sepsis. Two-sample MR analysis indicated that increased LDL-C level is a risk factor for sepsis, while TG and HDL-C levels have protective effects against sepsis. However, no significant causal relationship was found between TG, HDL-C, and LDL-C levels and sepsis., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

In-depth studies on the mechanisms of pathogenesis of sepsis and diagnostic biomarkers in the early stages may be the key to developing individualized and effective treatment strategies. This study aimed to identify sepsis-related hub genes and evaluate their diagnostic reliability. The gene expression profiles of GSE4607 and GSE131761 were obtained from the Gene Expression Omnibus. Differentially co-expressed genes between the sepsis and control groups were screened. Single-sample gene set enrichment analysis and gene set variation analysis were performed to investigate the biological functions of the hub genes. A receiver operating characteristic curve was used to evaluate diagnostic value. Datasets GSE154918 and GSE185263 were used as external validation datasets to verify the reliability of the hub genes. Four differentially co-expressed genes, FAM89A, FFAR3, G0S2, and FGF13, were extracted using a weighted gene co-expression network analysis and differential gene expression analysis methods. These 4 genes were upregulated in the sepsis group and were distinct from those in the controls. Moreover, the receiver operating characteristic curves of the 4 genes exhibited considerable diagnostic value in discriminating septic blood samples from those of the non-septic control group. The reliability and consistency of these 4 genes were externally validated. Single-sample gene set enrichment analysis and gene set variation analysis analyses indicated that the 4 hub genes were significantly correlated with the regulation of immunity and metabolism in sepsis. The identified FAM89A, FFAR3, G0S2, and FGF13 genes may help elucidate the molecular mechanisms underlying sepsis and drive the introduction of new biomarkers to advance diagnosis and treatment., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Circular RNAs are implicated in the progression of sepsis-associated acute kidney injury (AKI). Circ&#95;0002131 was shown to aggravate cell inflammation and oxidative stress in sepsis-induced AKI. The aim of this study was to investigate the role and underlying mechanism of circ&#95;0002131 in sepsis-induced AKI. Methods: Cell counting Ki-8 assay was used for cell viability detection. Cell apoptosis was measured using flow cytometry. Circ&#95;0002131, microRNA-942-5p (miR-942-5p), and oxidative stress responsive 1 (OXSR1) level analysis was performed through reverse transcription-quantitative polymerase chain reaction assay. The protein levels were examined by western blot. Inflammatory factors were determined using enzyme-linked immunosorbent assay. Oxidative injury was assessed via commercial kits. Target relation was analyzed by dual-luciferase reporter assay and RNA immunoprecipitation assay. Results: HK-2 cell viability was suppressed and apoptosis was enhanced by LPS. Circ&#95;0002131 was highly expressed in LPS-treated HK-2 cells and sepsis-induced AKI patients. LPS-induced apoptosis, inflammation, and oxidative injury of HK-2 cells were attenuated after silence of circ&#95;0002131. Then, miR-942-5p was identified as a target for circ&#95;0002131, and the regulation of circ&#95;0002131 in LPS-induced cell injury was ascribed to reduce miR-942-5p level. In addition, circ&#95;0002131 targeted miR-942-5p to elevate OXSR1 expression. MiR-942-5p prevented LPS-evoked HK-2 cell injury via targeting OXSR1. Conclusion : All results demonstrated that circ&#95;0002131 promoted LPS-mediated HK-2 cell injury via miR-942-5p-mediated upregulation of OXSR1, suggesting that the circ&#95;0002131/miR-942-5p/OXSR1 axis was related to sepsis-induced AKI progression., Competing Interests: Disclosure of interest: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Abstract: This study investigated the temporal dynamics of childhood sepsis by analyzing gene expression changes associated with proinflammatory processes. Five datasets, including four meningococcal sepsis shock (MSS) datasets (two temporal and two longitudinal) and one polymicrobial sepsis dataset, were selected to track temporal changes in gene expression. Hierarchical clustering revealed three temporal phases: early, intermediate, and late, providing a framework for understanding sepsis progression. Principal component analysis supported the identification of gene expression trajectories. Differential gene analysis highlighted consistent upregulation of vascular endothelial growth factor A (VEGF-A) and nuclear factor κB1 (NFKB1), genes involved in inflammation, across the sepsis datasets. NFKB1 gene expression also showed temporal changes in the MSS datasets. In the postmortem dataset comparing MSS cases to controls, VEGF-A was upregulated and VEGF-B downregulated. Renal tissue exhibited higher VEGF-A expression compared with other tissues. Similar VEGF-A upregulation and VEGF-B downregulation patterns were observed in the cross-sectional MSS datasets and the polymicrobial sepsis dataset. Hexagonal plots confirmed VEGF-R (VEGF receptor)-VEGF-R2 signaling pathway enrichment in the MSS cross-sectional studies. The polymicrobial sepsis dataset also showed enrichment of the VEGF pathway in septic shock day 3 and sepsis day 3 samples compared with controls. These findings provide unique insights into the dynamic nature of sepsis from a transcriptomic perspective and suggest potential implications for biomarker development. Future research should focus on larger-scale temporal transcriptomic studies with appropriate control groups and validate the identified gene combination as a potential biomarker panel for sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Background: To investigate the association between sepsis and the vitamin D receptor (VDR) gene polymorphisms., Methods: Databases including PubMed, Cochrane Library, EMbase, CNKI, Wanfang Data, and VIP Data were systematically searched. The association was assessed using odds ratios (ORs), and 95% confidence intervals (CIs). The statistical tests were performed using Review Manager 5.4., Results: We identified a total of 5 studies. The relationship between VDR gene polymorphisms (Apa I, Bsm I, Taq I, and Fok I), and incidence of sepsis was investigated. The results of this meta-analysis showed that the allelic contrast model (F vs f, P = .03, OR = 0.65, 95% CI = 0.44-0.95), dominant genetic model (FF vs Ff + ff, P = .02, OR = 0.53, 95% CI = 0.30-0.91), and codominance genetic model (FF vs ff, P = .03, OR = 0.39, 95% CI = 0.16-0.91) of VDR Fok I locus increased the risk of sepsis, and the lack of association between the VDR Fok I gene polymorphism and the risk assessment of sepsis, based on the ethnic subgroup analysis, might be attributable to the small sample size. The risk of sepsis with Apa I, Bsm I, and Taq I did not appear to be correlated., Conclusion Subsections: This meta-analysis revealed that the VDR Fok I polymorphism is closely associated with the susceptibility to sepsis, and patients with sepsis have lower 25-hydroxyvitamin D levels. VDR Fok I gene mutations may change the risk of sepsis., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Exosome from adipose-derived stem cells (ADSCs-Exo) has been shown to inhibit the progression of human diseases, including sepsis-related acute kidney injury (AKI). CircVMA21 is considered to be an important regulator for sepsis-related AKI. However, whether ADSCs-Exo affected sepsis-induced AKI by delivering circVMA21 is not clear. Methods: Adipose-derived stem cells were identified by alizarin red staining, oil red O staining, and flow cytometry. Exosome from adipose-derived stem cells was authenticated by transmission electron microscopy, nanoparticle tracking analysis, western blot analysis, and immunofluorescence assay. Cell apoptosis was assessed by flow cytometry, and inflammation cytokine levels were determined by ELISA. Lactate production was assessed using Lactate Acid Content Assay Kit. The expression levels of aerobic glycolysis-related markers, circVMA21 and miR-16-5p, was evaluated by quantitative real time-polymerase chain reaction. Dual-luciferase reporter assay and RIP assay were employed to detect RNA interaction. Animal experiments were used to evaluate the role of ADSCs-Exo on renal function and cell injury in LPS-induced AKI mice model. Results: Exosome from adipose-derived stem cells inhibited LPS-induced HK-2 cell apoptosis, inflammation, and aerobic glycolysis. Knockdown of exosomal circVMA21 derived from ADSCs enhanced HK-2 cell injury induced by LPS. In terms of mechanism, circVMA21 could serve as sponge for miR-16-5p. Besides, miR-16-5p inhibitor reversed the promotion effect of Exo-sh-circVMA21 on LPS-induced cell injury. In addition, ADSCs-Exo protected LPS-induced AKI in mice by increasing circVMA21 expression and decreasing miR-16-5p expression. Conclusion: Exosomal circVMA21 derived by ADSCs relieved LPS-induced AKI through targeting miR-16-5p, which provided a potential molecular target for treating sepsis-related AKI., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Background: The dysregulation of circular RNAs (circRNAs) is involved in various human diseases, including sepsis-induced acute lung injury (ALI). We aimed to investigate the role of circTDRD9 in the development of sepsis-induced ALI. Methods: Cell models of sepsis-induced ALI were established by treating A549 cells with LPS. The expression of circTDRD9, miR-223-3p, and RAB10 mRNA was measured by quantitative real-time PCR (qPCR). The levels of inflammatory factors were measured by ELISA. Oxidative stress-related indicators were monitored by using commercial detection kits. The expression of fibrosis-related proteins was detected by Western blot assay. Cell proliferation was assessed by EdU assay. The predicted binding relationship between miR-223-3p and circTDRD9 or RAB10 was verified by dual-luciferase reporter assay, RIP assay or pull-down assay. Results: CircTDRD9 was highly expressed in LPS-treated A549 cells. CircTDRD9 downregulation prevented LPS-induced inflammation, oxidative stress, cell proliferation inhibition, and cell fibrosis in A549 cells, whereas these effects were reversed by the inhibition of miR-223-3p, a target of circTDRD9. In addition, RAB10 was verified as a target of miR-223-3p, and RAB10 overexpression recovered LPS-induced inflammation, oxidative stress, cell proliferation inhibition, and cell fibrosis in A549 cells that were ameliorated by miR-223-3p restoration. Importantly, circTDRD9 positively regulated RAB10 expression by binding to miR-223-3p. Conclusion: CircTDRD9 overexpression was closely associated with LPS-induced ALI. CircTDRD9 contributed to LPS-induced ALI partly by upregulating RAB10 via binding to miR-223-3p., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 by the Shock Society.)

Septic shock is a serious systemic disease with circulatory failure and abnormal cell metabolism caused by sepsis. However, the relationship between CD3D and CD247 and septic shock remains unclear. The septic shock datasets GSE33118 and GSE142255 profiles were generated from the gene expression omnibus databases GPl570, GPl17586. Differentially expressed genes (DEGs) were screened and weighted gene co-expression network analysis was performed. The construction and analysis of protein-protein interaction (PPI) network, functional enrichment analysis, gene set enrichment analysis (GSEA) were performed. Gene expression heat map was drawn. Immune infiltration analysis was performed. Comparative toxicogenomics database (CTD) analysis were performed to find the disease most related to the core gene. Targets can was used to screen miRNAs regulating the hub DEGs. 467 DEGs were identified. According to the gene ontology analysis, they were mainly enriched in the regulation of immune response, cell activation, signaling receptor activity, enzyme binding. Kyoto encyclopedia of genes and genomes analysis showed that they were mainly enriched in the TCR signaling pathway, Fc epsilon RI signaling pathway. GSEA showed that the DEGs were mainly enriched in immune response regulation, cell activation, TCR signaling pathway, Fc epsilon RI signaling pathway. Positive regulation of Fc receptor signaling pathway, PID IL12 2 pathway, immune response was observed in go enrichment items in the enrichment items of metascape. PPI networks got 5 core genes. Gene expression heat map showed that 5 core genes (CD247, Lck, cd3e, cd3d, ITK) were lowly expressed in the sepsis shock samples and highly expressed in the normal samples. CTD analysis showed that 5 core genes (CD247, Lck, cd3e, cd3d, ITK) were found to be associated with hemorrhage and necrosis. Low expression of cd3d, CD247 was observed in septic shock, and the lower the level of cd3d, CD247, the worse the prognosis., Competing Interests: The authors have no funding and conflicts of interest to disclose., (Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Numerous studies have shown that pyroptosis is associated with sepsis progression, which can lead to dysregulated host immune responses and organ dysfunction. Therefore, investigating the potential prognostic and diagnostic values of pyroptosis in patients with sepsis is essential. Methods: We conducted a study using bulk and single-cell RNA sequencing (scRNA-seq) from the Gene Expression Omnibus database to examine the role of pyroptosis in sepsis. Univariate logistic analysis, least absolute shrinkage, and selection operator regression analysis were used to identify pyroptosis-related genes (PRGs), construct a diagnostic risk score model, and evaluate the selected genes' diagnostic value. Consensus clustering analysis was used to identify the PRG-related sepsis subtypes with varying prognoses. Functional and immune infiltration analyses were used to explain the subtypes' distinct prognoses, and scRNA-seq data were used to differentiate immune-infiltrating cells and macrophage subsets and study cell-cell communication. Results: A risk model was established based on 10 key PRGs ( NAIP , ELANE , GSDMB , DHX9 , NLRP3 , CASP8 , GSDMD , CASP4 , APIP , and DPP9 ), of which four ( ELANE , DHX9 , GSDMD , and CASP4 ) were associated with prognosis. Two subtypes with different prognoses were identified based on the key PRG expressions. Functional enrichment analysis revealed diminished nucleotide oligomerization domain-like receptor pathway activity and enhanced neutrophil extracellular trap formation in the subtype with a poor prognosis. Immune infiltration analysis suggested a different immune status between the two sepsis subtypes, with the subtype with a poor prognosis exhibiting stronger immunosuppression. The single-cell analysis identified a macrophage subpopulation characterized by gasdermin D (GSDMD) expression that may be involved in pyroptosis regulation, which was associated with the prognosis of sepsis. Conclusion: We developed and validated a risk score for sepsis identification based on 10 PRGs, four of which also have potential value in the prognosis of sepsis. We identified a subset of gasdermin D macrophages associated with poor prognosis, providing new insights into the role of pyroptosis in sepsis., Competing Interests: The authors report no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Background: The implication of circular RNAs (circRNAs) in sepsis-related complications arouses much attention, which provides additional treatment options for sepsis-related complications. The purpose of this study is to unveil the function and functional mechanism of circ&#95;0001818 in cell models of septic acute kidney injury (AKI). Methods: Septic AKI cell models were constructed using HK2 cells treated with lipopolysaccharide (LPS). The expression levels of circ&#95;0001818, miR-136-5p, and thioredoxin interacting protein (TXNIP) mRNA were examined by quantitative real-time polymerase chain reaction. Cell viability and death were explored by CCK-8 and flow cytometry assays. The activity of oxidative stress-related markers was examined using commercial kits. The secretion of inflammatory factors was examined using ELISA kits. The binding between miR-136-5p and circ&#95;0001818 or TXNIP was validated by dual-luciferase reporter test and pull-down assay. The receiver operating characteristic curve was depicted to assess the diagnostic value of circ&#95;0001818, miR-136-5p, and TXNIP in serumal exosomes from patients with septic AKI. Results: Circ&#95;0001818 expression was elevated in LPS-treated HK2 cells. Loss-of-function assays displayed that circ&#95;0001818 downregulation alleviated LPS-induced HK2 cell death, oxidative stress, inflammatory release, and inflammasome activation. MiR-136-5p was targeted by circ&#95;0001818, and inhibition of miR-136-5p attenuated the effects of circ&#95;0001818 downregulation, thus recovering LPS-induced HK2 cell injuries. MiR-136-5p targeted the downstream TXNIP, and circ&#95;0001818 dysregulation could affect TXNIP expression via targeting miR-136-5p. Overexpression of TXNIP overturned the effects of circ&#95;0001818 downregulation. Moreover, circ&#95;0001818, miR-136-5p, and TXNIP in serumal exosomes had diagnostic values. Conclusions: Circ&#95;0001818 targets miR-136-5p to activate TXNIP expression, leading to the contribution of LPS-induced HK2 cell injury., Competing Interests: The authors report no conflict of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Sepsis is one of the leading causes of morbidity and mortality worldwide. Monocytes seem to undergo functional reprogramming during sepsis, resulting in dysregulated host immune response. To clarify this dysregulation mechanism, we investigated three histone modifications found in promoters of genes involved in innate immune response, and associated these findings with gene transcription in septic patients. These results were compared with public transcriptome data of the target genes and epigenetic enzymes that modulate the histone modifications. We used peripheral blood mononuclear cell from surviving and nonsurviving septic patients, and healthy volunteers to evaluate the expression of genes involved in innate immune response and the enrichment of H3K9ac, H3K4me3, and H3K27me3 in their promoters, by RT-qPCR and ChIP, respectively. Finally, we used transcriptome data sets to validate our findings. We found alterations in the chromatin enrichment of different genes, with an increase in H3K9ac in the anti-inflammatory cytokine IL-10 and the antimicrobial gene FPR1 , as well as an increase in H3K27me3 in the IL-10 and HLA-DR promoter in nonsurvivors septic patients when compared with survivors. These alterations were partially associated with the gene expression profile. In addition, we found moderate to strong correlation between gene transcription and the enzymes that modulate these histone modifications in the transcriptome data sets. Our study, one of the pioneering by evaluating septic patients' samples, suggests that epigenetic enzymes modulate the prevalent histone marks in promoters of genes involved in the immune-inflammatory response, altering the transcription of these specific genes during sepsis. Furthermore, nonsurviving sepsis patients have a more pronounced epigenetic dysregulation compared with survivors, suggesting a more dysfunctional response., Competing Interests: The authors report no conflict of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Objective: Based on the functions of immunoregulation and signal transduction, septic peripheral blood sequencing and bioinformatics technology were used to screen potential core targets. Methods: Peripheral blood of 23 patients with sepsis and 10 normal volunteers underwent RNA-seq processing within 24 hours after admission to the hospital. Data quality control and differential gene screening were performed based on R language ( P < 0.01; log2FC ≥ 2). Gene function enrichment analysis was conducted on differentially expressed genes (DEGs). Then, target genes were submitted to STRING to constitute the PPI network, and GSE65682 were used to explore the prognostic relevance of potential core genes. Meta-analysis was used to verify the expression trends of core genes in the sepsis group. Then, cell line localization analysis of core genes in the 5 peripheral blood mononuclear cell samples (normal control = 2; systemic inflammatory response syndrome = 1; SEPSIS = 2) was performed. Results: A total of 1,128 DEGs were obtained between sepsis and normal group, of which 721 were upregulated and 407 downregulated. These DEGs were mainly enriched in leukocyte-mediated cytotoxicity, cell killing regulation, adaptive immune response regulation, lymphocyte-mediated immune regulation, and negative regulation of adaptive immune response. PPI network analysis results showed that CD160, KLRG1, S1PR5, and RGS16 were located in the core area, which are related to adaptive immune regulation, signal transduction, and intracellular components. The above four genes in the core area were found to be related to the prognosis of patients with sepsis, of which RGS16 was negatively correlated with the survival rate, and CD160, KLRG1, and S1PR5 were positively correlated. However, several public data sets showed that CD160, KLRG1, and S1PR5 were all downregulated in the peripheral blood of patients with sepsis, while RGS16 was upregulated in the sepsis group. Single-cell sequencing analysis showed that they were mainly expressed in NK-T cells. Conclusions: CD160, KLRG1, S1PR5, and RGS16 were mainly located in human peripheral blood NK-T cells. Sepsis participants expressed lower levels of S1PR5, CD160, and KLRG1, while sepsis participants expressed higher levels of RGS16. This suggests that they may be potential research targets for sepsis., Competing Interests: The authors report no conflict of interests., (Copyright © 2023 by the Shock Society.)

Abstract: Sepsis-induced cardiomyopathy (SIC) is one of the most common complications of infection-induced sepsis. An imbalance in inflammatory mediators is the main factor leading to SIC . N 6 -methyladenosine (m 6 A) is closely related to the occurrence and development of sepsis. N 6 -methyladenosine reader YTH domain containing 1 (YTHDC1) is an m 6 A N 6 -methyladenosine recognition protein. However, the role of YTHDC1 in SIC remains unclear. Herein, we demonstrated that YTHDC1-shRNA inhibits inflammation, reduces inflammatory mediators, and improves cardiac function in a LPS-induced SIC mouse model. Based on the Gene Expression Omnibus database analysis, serine protease inhibitor A3N is a differential gene of SIC. Furthermore, RNA immunoprecipitation indicated that serine protease inhibitor A3N (SERPINA3N) mRNA can bind to YTHDC1, which regulates the expression of SERPINA3N. Serine protease inhibitor A3N-siRNA reduced LPS-induced inflammation of cardiac myocytes. In conclusion, the m 6 A reader YTHDC1 regulates SERPINA3N mRNA expression to mediate the levels of inflammation in SIC. Such findings add to the relationship between m 6 A reader YTHDC1 and SIC, providing a new research avenue for the therapeutic mechanism of SIC., Competing Interests: The authors report no conflict of interest., (Copyright © 2023 by the Shock Society.)

Abstract: Background: Acute lung injury (ALI) induced by sepsis is distinguished by an inflammatory progression. Herein, we investigated the action of circular RNA kelch like family member 2 (circKlhl2) in sepsis-induced ALI. Methods: The animal or cell model of sepsis ALI was established by LPS stimulation. The contents of circKlhl2, microRNA-29b-3p (miR-29b-3p), rho-associated coiled-coil containing protein kinase 1 (ROCK1), CyclinD1, B-cell lymphoma-2 (Bcl-2), and cleaved-caspase 3 (C-caspase-3) were detected by quantitative real-time polymerase chain reaction and western blot, respectively. Cell viability was assessed by cell counting kit 8 assay. Cell cycle and apoptosis were evaluated by flow cytometry. The abundances of proinflammatory cytokines were detected by enzyme-linked immunosorbent assay. Besides, the targeted relationship between miR-29b-3p and circKlhl2 or ROCK1 was verified by dual-luciferase reporter assay, RNA immunoprecipitation assay and RNA pull-down assay. Results: Loss of circKlhl2 mitigated lung injury and proinflammatory cytokine expression in sepsis-ALI mice model and alleviated LPS-induced apoptosis and inflammatory response in microvascular endothelial cell (MPVECs) in vitro . The abundances of circKlhl2 and ROCK1 were boosted, while the miR-29b-3p level was diminished in the animal or cell model of sepsis-ALI. MiR-29b-3p inhibition abrogated circKlhl2 knockdown-mediated effects on MPVECs injury. Moreover, miR-29b-3p overexpression promoted cell proliferation and inhibited apoptosis and inflammation in LPS-treated MPVECs, while ROCK1 enhancement reversed these effects. Conclusion: CircKlhl2 expedited the sepsis-induced ALI by adjusting miR-29b-3p/ROCK1 axis., Competing Interests: The authors report no conflicts of interests., (Copyright © 2022 by the Shock Society.)

Abstract: Significant numbers of patients who survive sepsis exhibit psychiatric and cognitive impairments, termed post-sepsis syndrome. Understanding the underlying pathophysiology is essential to develop effective therapies. Translocator protein 18 kDa (TSPO) is a multifaceted mitochondrial protein implicated in inflammation, oxidative stress, and steroidogenesis in the central nervous system. Despite accumulated evidence demonstrating TSPO is a biomarker in psychiatric and neurodegenerative disorders, the role of this protein in post-sepsis syndrome remains elusive. The aim of this study was to investigate the role of TSPO in the long-term impairment of mouse behavior associated with psychiatric and cognitive impairments following sepsis induced by cecal ligation and puncture (CLP) surgery. Animals were divided into three groups: (i) wild type (WT) + sham, (ii) WT + CLP, and (iii) TSPO knock out + CLP. Survival rate and body weight change were assessed up to 17 days after surgeries. Then, we also assessed anxiety-like behavior, depression-like behavior, cognitive function, locomotor activity, and forelimb muscle strength in surviving mice by elevated plus maze, tail suspension test, y-maze, open field test, and grip strength test, respectively. Deletion of the TSPO gene led to high mortality and prolonged weight loss and exacerbated anxiety-like and depressive-like behavior with cognitive impairment 17 days after, but not before, CLP surgery. RNA-seq analysis of the hippocampus revealed the upregulation of genes (C1qb, C1qc, and Tyrobp) in C1q complement pathways correlated significantly with anxiety-like behavior that appeared long after CLP surgery. The expressions of these genes predicted other behavioral traits, including depressive-like behavior in the tail suspension test and grip power impairment, supporting the role of the C1q pathway in post-sepsis syndrome. Because the C1q pathway has recently attracted interest as a tag for pathological synaptic elimination, the current study suggests the C1q pathway is involved in the psychiatric and cognitive impairments observed in post-sepsis syndrome., Competing Interests: Disclosure: The authors declare that they have no conflicts of interest., (Copyright © 2022 by the Shock Society.)

Abstract: Background: The exact molecular mechanisms underlying sepsis remain unclear. Accumulating evidence has shown that noncoding RNAs (ncRNAs) are involved in sepsis and sepsis-associated organ dysfunction (SAOD). Methods: We performed this updated systematic review focusing mainly on research conducted in the last 5 years regarding ncRNAs associated with sepsis and SAOD. The following medical subject headings were used in the PubMed database from October 1, 2016, to March 31, 2022: "microRNA," "long noncoding RNA," "circular RNA," "sepsis," and/or "septic shock." Studies investigating the role of ncRNAs in the pathogenesis of sepsis and as biomarkers or therapeutic targets in the disease were included. Data were extracted in terms of the role of ncRNAs in the pathogenesis of sepsis and their applicability for use as biomarkers or therapeutic targets in sepsis. The quality of the studies was assessed using a modified guideline from the Systematic Review Center for Laboratory Animal Experimentation. Results: A total of 537 original studies investigated the potential roles of ncRNAs in sepsis and SAOD. Experimental studies in the last 5 years confirmed that long ncRNAs have important regulatory roles in sepsis and SAOD. However, studies on circular RNAs and sepsis remain limited, and more studies should be conducted to elucidate this relationship. Among the included studies, the Systematic Review Center for Laboratory Animal Experimentation scores ranged from 3 to 7 (an average score of 3.78). Notably, 94 ncRNAs were evaluated as potential biomarkers for sepsis, and selective reporting of the sensitivity, specificity, and receiver operating characteristic curve was common. A total of 117 studies demonstrated the use of ncRNAs as potential therapeutic targets in sepsis and SAOD. At a molecular level, inflammation-related pathways, mitochondrial dysfunction, cell apoptosis, and/or oxidative stress were the most extensively studied. Conclusion: This review suggests that ncRNAs could be good biomarkers and therapeutic candidates for sepsis and SAOD. Prospective, large-scale, and multicenter cohort studies should be performed to evaluate specific ncRNAs as biomarkers and test the organ-specific delivery of these regulatory molecules when used as therapeutic targets., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 by the Shock Society.)

Background and Importance: mRNA-based host response signatures have been reported to improve sepsis diagnostics. Meanwhile, prognostic markers for the rapid and accurate prediction of severity in patients with suspected acute infections and sepsis remain an unmet need. IMX-SEV-2 is a 29-host-mRNA classifier designed to predict disease severity in patients with acute infection or sepsis., Objective: Validation of the host-mRNA infection severity classifier IMX-SEV-2., Design, Settings and Participants: Prospective, observational, convenience cohort of emergency department (ED) patients with suspected acute infections., Outcome Measures and Analysis: Whole blood RNA tubes were analyzed using independently trained and validated composite target genes (IMX-SEV-2). IMX-SEV-2-generated risk scores for severity were compared to the patient outcomes in-hospital mortality and 72-h multiorgan failure., Main Results: Of the 312 eligible patients, 22 (7.1%) died in hospital and 58 (18.6%) experienced multiorgan failure within 72 h of presentation. For predicting in-hospital mortality, IMX-SEV-2 had a significantly higher area under the receiver operating characteristic (AUROC) of 0.84 [95% confidence intervals (CI), 0.76-0.93] compared to 0.76 (0.64-0.87) for lactate, 0.68 (0.57-0.79) for quick Sequential Organ Failure Assessment (qSOFA) and 0.75 (0.65-0.85) for National Early Warning Score 2 (NEWS2), ( P  = 0.015, 0.001 and 0.013, respectively). For identifying and predicting 72-h multiorgan failure, the AUROC of IMX-SEV-2 was 0.76 (0.68-0.83), not significantly different from lactate (0.73, 0.65-0.81), qSOFA (0.77, 0.70-0.83) or NEWS2 (0.81, 0.75-0.86)., Conclusion: The IMX-SEV-2 classifier showed a superior prediction of in-hospital mortality compared to biomarkers and clinical scores among ED patients with suspected infections. No improvement for predicting multiorgan failure was found compared to established scores or biomarkers. Identifying patients with a high risk of mortality or multiorgan failure may improve patient outcomes, resource utilization and guide therapy decision-making., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Background: Risk stratification of emergency department patients with suspected acute infections and/or suspected sepsis remains challenging. We prospectively validated a 29-messenger RNA host response classifier for predicting severity in these patients. Methods: We enrolled adults presenting with suspected acute infections and at least one vital sign abnormality to six emergency departments in Greece. Twenty-nine target host RNAs were quantified on NanoString nCounter and analyzed with the Inflammatix Severity 2 (IMX-SEV-2) classifier to determine risk scores as low, moderate, and high severity. Performance of IMX-SEV-2 for prediction of 28-day mortality was compared with that of lactate, procalcitonin, and quick sequential organ failure assessment (qSOFA). Results: A total of 397 individuals were enrolled; 38 individuals (9.6%) died within 28 days. Inflammatix Severity 2 classifier predicted 28-day mortality with an area under the receiver operator characteristics curve of 0.82 (95% confidence interval [CI], 0.74-0.90) compared with lactate, 0.66 (95% CI, 0.54-0.77); procalcitonin, 0.67 (95% CI, 0.57-0.78); and qSOFA, 0.81 (95% CI, 0.72-0.89). Combining qSOFA with IMX-SEV-2 improved prognostic accuracy from 0.81 to 0.89 (95% CI, 0.82-0.96). The high-severity (rule-in) interpretation band of IMX-SEV-2 demonstrated 96.9% specificity for predicting 28-day mortality, whereas the low-severity (rule-out) band had a sensitivity of 78.9%. Similarly, IMX-SEV-2 alone accurately predicted the need for day-7 intensive care unit care and further boosted overall accuracy when combined with qSOFA. Conclusions: Inflammatix Severity 2 classifier predicted 28-day mortality and 7-day intensive care unit care with high accuracy and boosted the accuracy of clinical scores when used in combination., Competing Interests: James W. Wacker, Florian Uhle, Oliver Liesenfeld, and Timothy E. Sweeney are employees and stock option holders of Inflammatix Inc. Catherine A. Hogan is a consultant for Inflammatix. E.J. Giamarellos-Bourboulis has received honoraria from Abbott CH, InflaRx GmbH, MSD Greece, XBiotech Inc., and B·R·A·H·M·S GmbH (Thermo Fisher Scientific); independent educational grants from AbbVie Inc., Abbott CH, bioMérieux Inc., Novartis, InflaRx GmbH, UCB, Sobi, and XBiotech Inc; and funding from the Horizon2020 Marie-Curie Project European Sepsis Academy (granted to the National and Kapodistrian University of Athens), the Horizon 2020 European Grants ImmunoSep and RISKinCOVID (granted to the Hellenic Institute for the Study of Sepsis), and by the Horizon Europe grant EPIC-CROWN-2 (granted to the Hellenic Institute for the Study of Sepsis). The other authors do not declare any conflict of interest., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Monocyte chemoattractant protein-1 (MCP-1) rs1024611 (-2518 A > G) polymorphism are associated with inflammatory diseases. In this study, we investigate the relationship between MCP-1 rs1024611 polymorphism and genetic susceptibility of type 2 diabetes mellitus (T2DM) with sepsis. Two hundred eighty-five patients with T2DM are divided into the diabetes with sepsis group (combined group, 113 cases) and the diabetes group (172 cases). Blood samples and corresponding clinical data were collected. MCP-1 rs1024611 polymorphism in blood samples was detected by pyrosequencing. Meanwhile, the expressions of MCP-1, tumor necrosis factor-alpha (TNF-α), interleukin (IL)-1β, and IL-6 in blood samples were detected by real-time quantitative polymerase chain reaction and enzyme-linked immunosorbent assay, respectively. The relationship between different genotypes of MCP-1 rs1024611 polymorphic locus and T2DM with sepsis was analyzed by combining with the clinical data of the patients. The frequencies of rs1024611 AG/GG genotypes and G allele in T2DM with sepsis group were significantly higher than those in T2DM patients without sepsis (P = .004 for AG/GG vs AA genotypes; P = .037 for G allele vs A allele). Subgroup analysis showed that the rs1024611 G allele frequency in the septic shock group was significantly higher than the general sepsis group (P = .02). The expressions of MCP-1 and TNF-α in GG genotypes in T2DM with sepsis group were significantly higher than AA or GA genotypes (P < .05). This study preliminarily showed that the rs1024611 A > G polymorphism within the promoter region of MCP-1 gene can upregulate the expression of MCP-1 gene and proinflammatory cytokine TNF-α, which ultimately contributed to the predisposition and progression of T2DM with sepsis., Competing Interests: The authors have no conflicts of interest to disclose., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

Abstract: Objective: The aim of this study was to characterize early urinary gene expression differences between patients with sepsis and patients with sterile inflammation and summarize in terms of a reproducible sepsis probability score. Design: This was a prospective observational cohort study. Setting: The study was conducted in a quaternary care academic hospital. Patients: One hundred eighty-six sepsis patients and 78 systemic inflammatory response syndrome (SIRS) patients enrolled between January 2015 and February 2018. Interventions: Whole-genome transcriptomic analysis of RNA was extracted from urine obtained from sepsis patients within 12 hours of sepsis onset and from patients with surgery-acquired SIRS within 4 hours after major inpatient surgery. Measurements and Main Results: We identified 422 of 23,956 genes (1.7%) that were differentially expressed between sepsis and SIRS patients. Differentially expressed probes were provided to a collection of machine learning feature selection models to identify focused probe sets that differentiate between sepsis and SIRS. These probe sets were combined to find an optimal probe set (UrSepsisModel) and calculate a urinary sepsis score (UrSepsisScore), which is the geometric mean of downregulated genes subtracted from the geometric mean of upregulated genes. This approach summarizes the expression values of all decisive genes as a single sepsis score. The UrSepsisModel and UrSepsisScore achieved area under the receiver operating characteristic curves 0.91 (95% confidence interval, 0.86-0.96) and 0.80 (95% confidence interval, 0.70-0.88) on the validation cohort, respectively. Functional analyses of probes associated with sepsis demonstrated metabolic dysregulation manifest as reduced oxidative phosphorylation, decreased amino acid metabolism, and decreased oxidation of lipids and fatty acids. Conclusions: Whole-genome transcriptomic profiling of urinary cells revealed focused probe panels that can function as an early diagnostic tool for differentiating sepsis from sterile SIRS. Functional analysis of differentially expressed genes demonstrated a distinct metabolic dysregulation signature in sepsis., Competing Interests: Conflicts of Interest and Source of Funding: A.B. and T.O.-B. were supported by R01 GM110240 from the National Institute of General Medical Sciences. A.B. T.O.-B., M.-C.L., H.V.B., and M.S.S. were supported by Sepsis and Critical Illness Research Center Award P50 GM-111152 from the National Institute of General Medical Sciences. A.B. and P.R. were supported by R01 GM110240 from the National Institute of General Medical Sciences (NIH/NIGMS), by 1R01EB029699 and 1R21EB027344 from the National Institute of Biomedical Imaging and Bioengineering (NIH/NIBIB), and 1R01NS120924 from the National Institute of Neurological Disorders and Stroke (NIH/NINDS). P.R. was supported by the National Science Foundation CAREER award 1750192. A.B. was supported by UF Research AWD09458. T.O.-B. was supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health grant K01 DK120784 and by UF Research AWD09459 and the Gatorade Trust, University of Florida. T.J.L. was supported by the National Institute of General Medical Sciences of the National Institutes of Health under award K23 GM140268. The research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under University of Florida Clinical and Translational Science Awards UL1TR000064 and UL1TR001427. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors report no conflicts of interest., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.)

Abstract: Sevoflurane, a widely used inhalation anesthetic, has been shown to be cardioprotective in individuals with sepsis and myocardial dysfunction. However, the exact mechanism has not been completely explained. In this study, we performed whole-transcriptome profile analysis in the myocardium of lipopolysaccharide-induced septic mice after sevoflurane pretreatment. RNA transcriptome sequencing showed that 97 protein coding RNAs (mRNAs), 64 long noncoding RNAs (lncRNAs), and 27 microRNAs (miRNAs) were differentially expressed between the lipopolysaccharide and S&#95;L groups. Functional enrichment analysis revealed that target genes for the differentially expressed mRNAs between the 2 groups participated in protein processing in the endoplasmic reticulum, antigen processing and presentation, and the mitogen-activated protein kinase signaling pathway. The bioinformatics study of differentially expressed mRNAs revealed that 13 key genes including Hsph1, Otud1, Manf, Gbp2b, Stip1, Gbp3, Hspa1b, Aff3, Med12, Kdm4a, Gatad1, Cdkn1a, and Ppp1r16b are related to the heart or inflammation. Furthermore, the competing endogenous RNA network revealed that 3 of the 13 key genes established the lncRNA-miRNA-mRNA network (ENSMUST00000192774 --- mmu-miR-7a-5p --- Hspa1b, TCONS&#95;00188587 --- mmu-miR-204-3p --- Aff3 and ENSMUST00000138273 --- mmu-miR-1954 --- Ppp1r16b) may be associated with cardioprotection in septic mice. In general, the findings identified 11 potential essential genes (Hsph1, Otud1, Manf, Gbp2b, Stip1, Gbp3, Hspa1b, Aff3, Med12, Kdm4a, Gatad1, Cdkn1a, and Ppp1r16b) and mitogen-activated protein kinase signaling pathway involved in sevoflurane-induced cardioprotection in septic mice. In particular, sevoflurane may prevent myocardial injury by regulating the lncRNA-miRNA-mRNA network, including (ENSMUST00000192774-mmu-miR-7a-5p-Hspa1b, TCONS&#95;00188587-mmu-miR-204-3p-Aff3, and ENSMUST00000138273-mmu-miR-1954-Ppp1r16b networks), which may be a novel mechanism of sevoflurane-induced cardioprotection., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)