Diabetes exacerbated sepsis-induced intestinal injury by promoting M1 Macrophage Polarization via miR-3061/Snail1 signaling.
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE202261 | GEO | 2022/09/07
REPOSITORIES: GEO
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Project description:Sepsis is a severe clinical syndrome related to an exaggerated host immune response to infection as well as systematic inflammation and serious tissue damage. Sepsis-associated acute kidney injury (SA-AKI) is one of the most frequent and serious complications of sepsis. This study aimed to identify new mechanisms in SA-AKI through transcriptome profiling (RNA-seq).
2022-08-17 | GSE186822 | GEO
Project description:Sepsis is the most common cause of hospitalization worldwide. Millions of people survive sepsis each year and are at risk for rehospitalization and death. Pulmonary complications such as respiratory failure due to pneumonia and exacerbation of chronic respiratory disease are among the most common reasons for rehospitalization in sepsis survivors. In order to prevent additional morbidity and death in patients surviving sepsis, we must establish biomarkers to identify patients at risk for pulmonary complications and develop treatments. Late complications in sepsis survivors, particularly nosocomial infections, are proposed to occur through persistent immune reprogramming after sepsis known as immunoparalysis. However, pro-inflammatory immune reprogramming in the form of primed or enhanced responses to secondary stimuli has also been described and could directly contribute to tissue injury and death. Primed immune responses and their contribution to long-term sepsis complications remains understudied. We hypothesize that primed immune responses to inflammatory stimuli in the lung after sepsis are associated with pulmonary complications in survivors of sepsis. To this end, we developed a model of antibiotic treated sepsis induced by cecal ligation and puncture followed three weeks later by secondary challenge with intranasal lipopolysaccharide to induce inflammatory lung injury. We find that mice surviving sepsis have enhanced lung injury responses in the setting of an exaggerated proinflammatory immune response, including primed Ly6Chi monocyte Tnf expression. Using RNA sequencing, we identified derangements in lung gene expression after CLP prior to LPS administration which may mediate enhanced lung injury in this model. One potential mediator, S100A8/A9, was also found to be elevated in the circulation of human sepsis survivors for up to 180 days after sepsis. These findings validate our model and identify S100A8/A9 as one of many potential biomarkers and therapeutic targets for patients at risk for long-term pulmonary complications after sepsis. The role of S100A8/A9, monocyte priming, and other factors predisposing to enhanced lung injury responses and pulmonary complications after sepsis warrant further investigation in humans and mice.
2021-06-23 | GSE168796 | GEO
Project description:Escherichia coli and Staphylococcus are among the most common causes of bacterial sepsis, a deadly syndrome characterized by uncontrolled activation of coagulation and complement enzymatic cascades an exaggerated immune response. We performed in vivo experimental sepsis in baboons to characterize the host response to bacterial infection in blood cells. We demonstrate that bacterial infection leads to early induction of proinflammatory genes followed by a delayed activation of anti-inflammatory pathways. In addition, we observe changes in genes and pathways associated coagulation and complement as well as with leukocyte adhesion, migration and cell death. Our study provides important insights into the temporal kinetics of gene expression in leukocytes during bacterial sepsis.
2023-06-12 | GSE221652 | GEO
Project description:The activation of pulmonary endothelial cells (ECs) triggers the occurrence of lung injury and is a hallmark of sepsis-associated acute respiratory distress syndrome(ARDS). Aberrant metabolism favoring glycolysis plays a pivotal role in the pathogenesis of sepsis-induced EC activation. Herein we demonstrate that glycolysis-related histone lactylation, represented by H3K14 lactylation (H3K14la), drives sepsis-associated EC activation and lung injury. Accordingly, H3K14la level is elevated in injured lung tissue and activated ECs. Inhibition of lactate production suppresses both H3K14la levels and EC activation in response to lipopolysaccharide (LPS). We also show that lactate-dependent H3K14la is enriched at the promoters of ferroptosis-related genes, thereby inducing ferroptosis in ECs, and inhibiting ferroptosis effectively ameliorates EC activation. Taken together, elevated lactate in sepsis modulates EC activation and lung injury via histone lactylation and manipulation of glycolysis/H3K14la/ferroptosis axis may provide novel therapeutic approaches for the treatment of sepsis-associated ARDS.
2023-01-01 | GSE212087 | GEO
Project description:In response to viral pathogens, the host upregulates antiviral genes that suppress translation of viral mRNAs. However, induction of such antiviral responses may not be exclusive to viruses as the pathways lie at the intersection of broad inflammatory networks that can also be induced by bacterial pathogens. Using a model of Gram-negative sepsis, we show that propagation of kidney damage initiated by a bacterial origin ultimately involves antiviral responses that result in host translation shutdown. We determined that activation of the Eif2ak2-Eif2α axis is the key mediator of translation initiation block in late phase sepsis. Reversal of this axis mitigated kidney injury. Furthermore, temporal profiling of the kidney translatome revealed that multiple genes involved in formation of the initiation complex were translationally altered during bacterial sepsis. Collectively, our findings implicate that translation shutdown is indifferent to the specific initiating pathogen and is an important determinant of tissue injury in sepsis.
2018-10-06 | GSE120877 | GEO
Project description:In response to viral pathogens, the host upregulates antiviral genes that suppress translation of viral mRNAs. However, induction of such antiviral responses may not be exclusive to viruses as the pathways lie at the intersection of broad inflammatory networks that can also be induced by bacterial pathogens. Using a model of Gram-negative sepsis, we show that propagation of kidney damage initiated by a bacterial origin ultimately involves antiviral responses that result in host translation shutdown. We determined that activation of the Eif2ak2-Eif2α axis is the key mediator of translation initiation block in late phase sepsis. Reversal of this axis mitigated kidney injury. Furthermore, temporal profiling of the kidney translatome revealed that multiple genes involved in formation of the initiation complex were translationally altered during bacterial sepsis. Collectively, our findings implicate that translation shutdown is indifferent to the specific initiating pathogen and is an important determinant of tissue injury in sepsis.
2018-11-16 | GSE122274 | GEO
Project description:BACKGROUND: Despite best supportive intensive care, the development of severe sepsis and septic shock after trauma is still associated with a high mortality rate in intensive care units (ICU). Incomplete knowledge of the pathophysiological and biochemical mechanisms that lead to perturbations of the host system is a major cause for this clinical entity. This lack of knowledge is mirrored in a delay in both diagnosis of sepsis and stratification of patients at risk. The current diagnostic and classification methods do not provide an early and reliable evidence for the development of sepsis and consequently lead to uncertainty in the classification and a delay in the initiation of an adequate therapy. Here, we present a prospective study performed with a well-defined patient cohort suffering from severe multiple trauma (n=85), in which we aimed to uncover the biological reasons why patients with multiple trauma can have dramatically different outcomes after suffering similar traumatic insults. METHODS: We used peripheral whole blood obtained with the PaxGene system at the time of admission to the ICU, i.e., 12 hours after trauma, for transcriptome analysis and monitored clinically the sequence of events from the admission to the ICU, to the very onset of sepsis and finally to the full development of multiple organ dysfunction syndrome (MODS). Study protocols and standard operating procedures (SOPs) regarding ethics, patient recruitment, logistics in sample acquisition and storage, microarray experiments, data analysis and data management have been developed and provided for a high feasibility and reproducibility of the investigations. FINDINGS: The transcriptome analysis from peripheral blood revealed a strong host response upon severe injury and demonstrated the suitability of whole blood in the PaxGene system as a surrogate marker in clinical gene expression studies. It was evident that patients who developed sepsis in the course of the disease (3-5 days after admission) showed an imbalance in the TH1/TH2 response towards a pronounced TH2 response, soon after trauma. The imbalanced TH1/TH2 shift along with inactivation of T cells, neutrophils, monocytes and macrophages might be critical factors for the initiation of a septic program seen in these patients 12 hours after trauma. INTERPRETATION: First, in this study, we provide protocols for logistics and infrastructure that can be applied generally to successfully integrate gene expression analysis studies in a clinical routine and demonstrate that by following these protocols, dedicated and reproducible results can be obtained. Second, we showed that peripheral whole blood is a suitable surrogate marker for the host response as it contains lots of “information” and is easily accessible. Third, we identified mechanisms involved in the perturbations of the immune system that lead to sepsis. Keywords: Prospective study 159 consecutive traumatized patients were included in the study upon admission to the intensive care unit (ICU), fulfilling all of the following inclusion criteria: severe injuries to at least two body regions or three major fractures, between 18 and 65 years of age, an estimated Injury Severity Score (ISS) of ?15 points after thorough assessment of injuries, <12 hours between the occurrence of the accident and the time of admission to the ICU, and at least greater than 3 days of survival. None of the patients underwent neuro- or cardiac surgery. We excluded patients with severe intracranial head injuries, coagulation abnormalities known at the day of admission to the ICU, acute renal failure, liver failure, malignant disease, or hemofiltration in the patient`s history. The Patients were divided into two groups depending on their posttraumatic course: Patients not complicatd by sepsis (Group: N) and Patients complicated by sepsis (Group: S). Using the CodeLink UniSet Human 10 K Bioarrays (GE Healthcare, Freiburg, Germany), we searched for early differences in the transcriptome of these two groups. Only whole blood samples drawn upon admission to the ICU were used for this investigation. Microarray results were validated by quantification of mRNA by TaqMan® technology. Each patient sample was hybridized in duplicate or triplicate on microarrays (label-extract technical replicate). A total of 72 arrays (36 group N, 36 group S) were subjected to microarray quality analysis. Of these, 2 arrays (0 group N, 2 group S) were excluded from the data set due to quality reasons and a final set of 70 arrays (36 group N and 34 group S) were subjected to microarray analysis. Since the eliminated 2 arrays belonged to patients with three replicates, they were treated as two replicates in the further analysis. The arrays were designated N_xx_yy_z or S_xx_yy_z, with x for the patient-ID (1,2,3,4..) and z for the technical replicate number (1,2 or 3).
2010-12-22 | E-GEOD-12624 | biostudies-arrayexpress
Project description:Background: COVID-19 and sepsis represent formidable public health challenges, characterized by incompletely elucidated molecular mechanisms. Elucidating the interplay between COVID-19 and sepsis, particularly in geriatric patients suffering from sepsis-induced acute respiratory distress syndrome (ARDS), is of paramount importance for identifying potential therapeutic interventions to mitigate hospitalization and mortality risks.We employed bioinformatics and systems biology approaches to identify hub genes, shared pathways, molecular biomarkers, and candidate therapeutics for managing COVID-19, sepsis, and sepsis-induced ARDS. We corroborated these hub genes utilizing murine sepsis-ARDS models and blood samples derived from geriatric patients afflicted by sepsis-induced ARDS.Results: Our investigation revealed 189 differentially expressed genes (DEGs) shared among COVID-19 and sepsis datasets. We constructed a protein-protein interaction network, unearthing pivotal hub genes and modules. Notably, nine hub genes displayed significant alterations and correlations with critical inflammatory mediators of pulmonary injury in murine septic lungs. Simultaneously, 12 displayed significant changes and correlations with a neutrophil-recruiting chemokine in geriatric patients with sepsis-induced ARDS. Of these, six hub genes (CD247, CD2, CD40LG, KLRB1, LCN2, RETN) showed significant alterations across COVID-19, sepsis, and geriatric sepsis-induced ARDS. Our single-cell RNA sequencing analysis of hub genes across 3 diverse immune cell types furnished insights into disease pathogenesis. Functional analysis underscored the interconnection between sepsis/sepsis-ARDS and COVID-19, enabling us to pinpoint potential therapeutic targets, transcription factor-gene interactions, DEG-microRNA co-regulatory networks, and prospective drug and chemical compound interactions involving hub genes.Our investigation offers potential therapeutic targets/biomarkers, sheds light on the immune response in geriatric patients with sepsis-induced ARDS, emphasizes the association between sepsis/sepsis-ARDS and COVID-19, and proposes novel avenues for targeted therapies.
2023-09-01 | GSE242127 | GEO
Project description:Sepsis is a serious infection-induced response in the host,which can lead to organ dysfunction. It is of great importance to unravel the relationship between sepsis and host immune response and its mechanisms of action. Liver is one of the most vulnerable organs in sepsis, however, the specific pathogenesis of septic liver injury has not been well understood at the protein level. Here, a TMT-based proteomic analysis for liver was performed in the septic rat model. Compared to the healthy control group,the differentially expressed proteins (DEPs) were the most significantly enriched into the complement and coagulation cascades and metabolic pathways. And the DEPs may serve as clinically potential treatment targets for septic liver injury.
2022-11-15 | PXD037868 | iProX
Project description:Rationale: Sepsis is a leading cause of morbidity and mortality; early diagnosis and prediction of progression is difficult to determine. The integration of metabolomic and transcriptomic data in an experimental model of sepsis may be a novel method to identify molecular signatures of clinical sepsis. Objectives: Develop a biomarker panel for earlier diagnosis and prognostic characterization of sepsis patients to inform personalized clinical management and improve understanding of the pathophysiology of sepsis progression. Methods: Mild to severe sepsis, lung injury and death was recapitulated in Macaca fascicularis by intravenous inoculation of Escherichia coli. Plasma samples were obtained at time of challenge and at one, three, and five days later or time of euthanasia. Necropsy was performed and blood, lung, kidney and spleen samples were obtained. An integrative analysis of comprehensive metabolomic and transcriptomic datasets was performed to identify and parameterize a biomarker panel. Measurements and Main Results: Pathogen invasion, respiratory distress, lethargy and mortality was dose dependent. Severe infection and death were associated with metabolomic and transcriptomic changes indicative of mitochondrial, peroxisomal and liver dysfunction. Analysis of reciprocal pulmonary transcriptome and plasma metabolome data revealed an integrated host response that suggested dysregulated fatty acid catabolism resulting from peroxisome-proliferator activated receptor signaling. A representative 4-metabolite model effectively diagnosed sepsis in primates (AUC 0.966) and in two human sepsis cohorts (AUC=0.78 and 0.82). Conclusion: A model to guide early management of patients with sepsis was developed by analysis of reciprocal metabolomic and transcriptomic data in primates that diagnosed sepsis in humans. Transcriptomic analysis of lungs from Cynomolgus macaques challenged with E. coli
2015-07-03 | E-GEOD-59075 | biostudies-arrayexpress