Elevated plasma cholesterol improves sepsis outcome by promoting hepatic metabolic reprogramming
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE329833 | GEO | 2026/05/05
REPOSITORIES: GEO
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Project description:Background: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor outcomes, though current clinical characterizations fail to identify those at greatest risk of progression and mortality. Results: The Community Acquired Pneumonia and Sepsis Outcome Diagnostic study enrolled 1,152 subjects with suspected sepsis. We sequenced peripheral blood RNA of 129 representative subjects with systemic inflammatory response syndrome (SIRS) or sepsis (infection with SIRS), including 78 sepsis survivors and 28 sepsis nonsurvivors, who had previously undergone plasma proteomic and metabolomic profiling. The expression of 338 genes differed between subjects with SIRS and those with sepsis, primarily reflective of immune activation in sepsis. The expression of 1,238 genes differed with sepsis outcome: Nonsurvivors had lower expression of many immune function-related genes. Functional genetic variants associated with sepsis mortality were sought based on a common disease â rare variant hypothesis. VPS9D1, whose expression was increased in sepsis survivors, had a higher burden of missense variants in sepsis survivors, and these were associated with altered expression of 3,799 genes, primarily reflecting Golgi and endosome biology. Conclusions: Host response in sepsis survivors â activation of immune response-related genes â was muted in sepsis nonsurvivors. The association of sepsis survival with robust immune response and presence of missense variants in VPS9D1 warrants replication and further functional studies. We sequenced peripheral blood RNA of 129 representative subjects with systemic inflammatory response syndrome (SIRS, n=23) or sepsis (infection with SIRS), including 78 sepsis survivors and 28 sepsis nonsurvivors, who had previously undergone plasma proteomic and metabolomic profiling.
2015-01-01 | E-GEOD-63042 | biostudies-arrayexpress
Project description:Background: Sepsis, a leading cause of morbidity and mortality, is not a homogeneous disease but rather a syndrome encompassing many heterogeneous pathophysiologies. Patient factors including genetics predispose to poor outcomes, though current clinical characterizations fail to identify those at greatest risk of progression and mortality. Results: The Community Acquired Pneumonia and Sepsis Outcome Diagnostic study enrolled 1,152 subjects with suspected sepsis. We sequenced peripheral blood RNA of 129 representative subjects with systemic inflammatory response syndrome (SIRS) or sepsis (infection with SIRS), including 78 sepsis survivors and 28 sepsis nonsurvivors, who had previously undergone plasma proteomic and metabolomic profiling. The expression of 338 genes differed between subjects with SIRS and those with sepsis, primarily reflective of immune activation in sepsis. The expression of 1,238 genes differed with sepsis outcome: Nonsurvivors had lower expression of many immune function-related genes. Functional genetic variants associated with sepsis mortality were sought based on a common disease – rare variant hypothesis. VPS9D1, whose expression was increased in sepsis survivors, had a higher burden of missense variants in sepsis survivors, and these were associated with altered expression of 3,799 genes, primarily reflecting Golgi and endosome biology. Conclusions: Host response in sepsis survivors – activation of immune response-related genes – was muted in sepsis nonsurvivors. The association of sepsis survival with robust immune response and presence of missense variants in VPS9D1 warrants replication and further functional studies.
2015-01-01 | GSE63042 | GEO
Project description:Understanding the plasma proteome dynamics in sepsis patients is crucial for improving prognostic and therapeutic strategies, as sepsis remains a leading cause of mortality in intensive care units. In this study, 363 patients with newly diagnosed sepsis were enrolled and plasma was collected on the first and fourth day after diagnosis. Proteome analysis was performed using liquid chromatography–tandem mass spectrometry. The plasma proteome was analyzed via classical statistical analysis and machine learning to identify associations with 30-day survival. Out of 363 sepsis patients, 224 survived and 139 did not survive the 30-day period. Significant differences in the abundance of 87 proteins on day 1 and 95 proteins on day 4 were found between survivors and non-survivors. Additionally, between days 1 and 4, 63 proteins were differentially regulated between both groups. We found that protein regulations within the first days of sepsis were generally associated with a worse outcome. Statistical analysis revealed the underlying proteins to be foremost related to blood coagulation, immune response and complement activation. Complementarily, the machine learning classifier achieved an area under the receiver operating characteristic curve of 0.75 for predicting 30-day survival. The feature importance analysis highlighted additional proteins and substantiated the findings of univariate statistics. This study describes the temporal alterations of the plasma proteome and the underlying protein networks that are associated with survival. These findings enhance the understanding of sepsis pathophysiology and the identified proteins might serve as starting points for further investigations and guide the development of targeted therapeutic strategies.
2024-12-16 | PXD055932 | Pride
Project description:Acute phase proteins (APPs) are an evolutionarily conserved family of proteins produced mainly in the liver in response to infection and inflammation. Despite vast pro- and anti-inflammatory properties ascribed to individual APPs, their collective function during infections remains poorly defined. Using a murine model for polymicrobial sepsis we show here that abrogation of APP production by hepatocyte-specific gp130 deletion, the signaling receptor shared by IL-6-family cytokines, dramatically increased mortality despite normal bacterial clearance. Hepatic gp130 signaling through signal transducer and activator of transcription (Stat)3 was required to control systemic inflammation. Notably, hepatic gp130/Stat3 activation was also a prerequisite to facilitate mobilization and tissue accumulation of myeloid-derived suppressor cells (MDSCs), a cell population mainly known for anti-inflammatory properties in cancer. We show that MDSCs were critical to regulate innate inflammation and their adoptive transfer efficiently protected gp130-deficient mice from sepsis-associated mortality. We identified serum amyloid A and Cxcl-1/KC as hepatic acute phase genes that cooperatively promoted MDSC mobilization, accumulation and survival. Administration of these proteins efficiently elevated MDSC numbers and reversed dysregulated inflammation and restored survival of gp130-deficient mice. Thus, gp130-dependent communication between the liver and MDSCs through acute phase proteins critically controls inflammatory responses during infection. Control [gp130f/f] and liver-specific Gp130 knockout [gp130delta(hepa)] mice were subjected to polymicrobial sepsis. Twelve hours after induction of sepsis mice were sacrificed and livers were removed. For control treatment mice were sacrified without any prior treatment. Total RNA was isolated and subjected to gene expression profiling.
2010-06-08 | E-GEOD-22009 | biostudies-arrayexpress
Project description:McAuley2012 - Whole-body Cholesterol Metabolism
Lipid metabolism has a key role to play in human longevity and healthy aging. A whole-body mathematical model of cholesterol metabolism that explores the changes in both the rate of intestinal cholesterol absorption and the hepatic rate of clearance of LDL-C from the plasma, has been presented here. The model showed that of these two mechanisms, changes to the rate of LDL-C removal from the plasma with age had the most significant effect on cholesterol metabolism.
The original SBML model file was generated using MathSBML 2.5.1.
This model is described in the article:
A whole-body mathematical model of cholesterol metabolism and its age-associated dysregulation.
Mc Auley MM, Wilkinson DJ, Jones JJ, Kirkwood TT.
BMC Syst Biol. 2012 Oct 10;6(1):130.
Abstract:
BACKGROUND: Global demographic changes have stimulated marked interest in the process of ageing. There has been, and will continue to be, an unrelenting rise in the number of the oldest old ( >85 years of age). Together with an ageing population there comes an increase in the prevalence of age related disease. Of the diseases of ageing, cardiovascular disease (CVD) has by far the highest prevalence. It is regarded that a finely tuned lipid profile may help to prevent CVD as there is a long established relationship between alterations to lipid metabolism and CVD risk. In fact elevated plasma cholesterol, particularly Low Density Lipoprotein Cholesterol (LDL-C) has consistently stood out as a risk factor for having a cardiovascular event. Moreover it is widely acknowledged that LDL-C may rise with age in both sexes in a wide variety of groups. The aim of this work was to use a whole-body mathematical model to investigate why LDL-C rises with age, and to test the hypothesis that mechanistic changes to cholesterol absorption and LDL-C removal from the plasma are responsible for the rise. The whole-body mechanistic nature of the model differs from previous models of cholesterol metabolism which have either focused on intracellular cholesterol homeostasis or have concentrated on an isolated area of lipoprotein dynamics. The model integrates both current and previously published data relating to molecular biology, physiology, ageing and nutrition in an integrated fashion.
RESULTS: The model was used to test the hypothesis that alterations to the rate of cholesterol absorption and changes to the rate of removal of LDL-C from the plasma are integral to understanding why LDL-C rises with age. The model demonstrates that increasing the rate of intestinal cholesterol absorption from 50% to 80% by age 65 years can result in an increase of LDL-C by as much as 34mg/dL in a hypothetical male subject. The model also shows that decreasing the rate of hepatic clearance of LDL-C gradually to 50% by age 65 years can result in an increase of LDL-C by as much as 116mg/dL.
CONCLUSIONS: Our model clearly demonstrates that of the two putative mechanisms that have been implicated in the dysregulation of cholesterol metabolism with age, alterations to the removal rate of plasma LDL-C has the most significant impact on cholesterol metabolism and small changes to the number of hepatic LDL receptors can result in a significant rise in LDL-C. This first whole-body systems based model of cholesterol balance could potentially be used as a tool to further improve our understanding of whole-body cholesterol metabolism and its dysregulation with age. Furthermore, given further fine tuning the model may help to investigate potential dietary and lifestyle regimes that have the potential to mitigate the effects aging has on cholesterol metabolism.
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2024-09-02 | BIOMD0000000434 | BioModels
Project description:Sepsis remains a major clinical challenge, with high mortality and long-term disability despite current interventions. Here, we identify the tissue hormone acyl-CoA–binding protein (ACBP), also known as diazepam-binding inhibitor (DBI), as a biomarker and driver of poor outcome in sepsis. ACBP/DBI was elevated in the plasma of septic patients and associated with organ dysfunction and increased mortality. In murine models of endotoxemia, Escherichia coli infection, and polymicrobial sepsis, genetic deletion or antibody-mediated neutralization of ACBP/DBI conferred robust protection by enhancing pathogen clearance, dampening cytokine storm, and preserving organ function. Notably, ACBP/DBI inhibition could be favorably combined with glucocorticoids, enhancing survival and reversing histopathological, transcriptional, or metabolic signatures of septic shock across heart, kidney, liver, lung, spleen, and plasma. These findings position ACBP/DBI as a mechanistic amplifier of sepsis pathophysiology and propose its neutralization, alone or in combination with corticosteroids, as a promising therapeutic strategy to interrupt the fatal trajectory of septic shock.
2026-01-26 | GSE313149 | GEO
Project description:The plasma of the sepsis patient survivors and non-survivors (n=10/group) were analyzed using glycoproteomics approach.
2018-10-19 | PXD001425 | Pride
Project description:Ethanolamine phosphate phospholyase (ETNPPL) is an enzyme that irreversibly degrades phospho-ethanolamine (p-ETN), an intermediate in the Kennedy pathway of phosphatidylethanolamine (PE) synthesis. Whole-body knockout Etnppl mice were fed a high-fat diet (HFD) containing 45% kcal fat for 10 weeks. Etnppl-/- female mice were resistant to HFD-induced obesity and adiposity and had decreased liver weight compared with Etnppl+/+ mice. Furthermore, Etnppl-/- female mice had improved glucose sensitivity and increased energy expenditure compared to Etnppl+/+ mice. Plasma triglycerides (TG) levels were elevated in Etnppl-/- female mice, although the rate of very low-density lipoprotein (VLDL) secretion was not increased. The hepatic expression of PCSK9 was elevated, indicating a possible decrease in VLDL uptake. Interestingly, both plasma and hepatic cholesterol levels were reduced in Etnppl-/- female mice relative to Etnppl+/+ mice. No difference in hepatic phosphatidylcholine, PE or TG was detected between groups. Histopathological examination of hepatic tissues revealed decreased lipid deposition in Etnppl-/- mice that may be explained by the lower hepatic cholesterol level. Additionally, RNA sequencing analysis showed upregulation in genes related to cholesterol metabolism in Etnppl-/- female mice. In male mice, a slight decrease in weight gain was observed in Etnppl-/- mice compared to Etnppl+/+ mice. No change in plasma and hepatic lipid levels was detected in Etnppl-/- male mice. To conclude, ETNPPL impacts whole-body energy expenditure, weight gain, cholesterol metabolism, and hepatic lipoprotein metabolism without altering hepatic phospholipid levels.
2025-07-11 | GSE283434 | GEO
Project description:<p>Background: Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disorder with rising global morbidity and mortality. Emerging evidence suggests that systemic metabolic alterations, particularly dyslipidemia, contribute to COPD pathogenesis. However, the mechanisms linking lipid dysregulation to pulmonary inflammation and tissue injury remain poorly defined.</p><p>Methods: Untargeted metabolomic profiling was performed on plasma samples from healthy individuals and patients with COPD to identify disease associated metabolic alterations. A high-cholesterol diet (HCD) mouse model, with or without chronic cigarette smoke exposure, was used to examine the impact of systemic cholesterol elevation on lung structure and inflammation. Complementary in vitro studies using THP-1 derived and bone marrow derived macrophages were conducted to investigate mitochondrial function, ROS generation, and downstream signaling pathways. Transcriptomic analyses were employed to identify key molecular mediators.</p><p>Results: Plasma metabolomics revealed significant dysregulation of lipid metabolism in COPD, with elevated cholesterol levels correlating inversely with lung function. In vivo, HCD feeding induced pulmonary inflammation and further exacerbated cigarette smoke induced lung tissue destruction. In macrophages, combined cholesterol loading and cigarette smoke extraction treatment disrupted mitochondrial integrity, reduced respiratory capacity, and increase ROS generation. Elevated ROS levels upregulated PPIA, which in turn activated NF-κB signaling and promoted IL-1β secretion. Silencing PPIA or inhibiting ROS significantly attenuated NF-κB activation and cytokine release. Consistent with these findings, increased PPIA expression and NF-κB phosphorylation were observed in lungs of HCD-fed, cigarette smoke exposed mice, and PPIA levels were elevated in bronchoalveolar lavage fluid from COPD patients.</p>
2025-11-26 | MTBLS13388 | MetaboLights
Project description:Sepsis is a systemic response to infection with life-threatening consequences such as hemolysis, a predictor of mortality risks for the disease. Here, by measuring organism-wide changes in gene expression, we discovered that the secreted phospholipase PLA2G5 is induced in colon cell types during sepsis. The genetic deletion and antibody blockade of PLA2G5 abrogated the lethal effects of sepsis. PLA2G5 blockade during sepsis led to an increase in splenic red pulp macrophages and iron homeostasis, linking PLA2G5 to red blood cell homeostasis during sepsis. Mechanistically, bloodborne PLA2G5 led to intravascular hemolysis through its lipolytic activity on red blood cell membranes. In humans with sepsis, the plasma level of PLA2G5 was elevated and predictive of disease severity and mortality. We conclude that sepsis corrupts PLA2G5 from the gut into becoming a systemic self-venom which is toxic for host red blood cells.
2024-01-11 | GSE253060 | GEO