Daily ReportOct 21, 2026
Sepsis, October 21 edition
We read 8 papers and selected 3.
Summary
Today's most impactful studies span mechanistic, biomarker-guided, and prognostic advances in sepsis. A glutathione-responsive nanotherapeutic platform reprogrammed macrophage immunometabolism and the gut microbiome in septic models, while a post hoc randomized-trial analysis suggested that elevated proenkephalin A may identify patients in whom hydrocortisone is associated with worse kidney outcomes. A large database cohort further showed a graded association between malnutrition severity and hospital mortality.
Research Themes
- Macrophage immunometabolism and microbiome-directed nanotherapy
- Biomarker-defined heterogeneity of corticosteroid effects
- Nutritional risk stratification for mortality prediction
Selected Articles
1. Nanotherapeutic macrophage reprogramming through immunometabolic and microbial modulation for sepsis treatment.
The investigators developed glutathione-responsive EONPs carrying 4-octyl itaconate and the dihydroorotate dehydrogenase inhibitor EA6. Across transcriptomic, metabolomic, metagenomic, and pharmacological analyses, EONPs reduced systemic hyperinflammation, promoted anti-inflammatory macrophage reprogramming, restored gut microbial homeostasis, increased the microbiota-derived metabolite 5-hydroxyindoleacetic acid, and protected against multi-organ injury in septic models.
Impact: This study advances beyond single-pathway immunomodulation by linking macrophage immunometabolism, systemic inflammation, and gut microbial metabolites within one therapeutic platform. The integrated mechanistic evidence provides a strong preclinical framework for macrophage-targeted nanotherapy, although clinical translation remains untested.
Clinical Implications: The findings support development of macrophage-targeted, immunometabolic nanotherapies for sepsis and suggest that gut microbial metabolites could serve as mechanistic or pharmacodynamic biomarkers. The platform should not yet be used clinically because efficacy, toxicity, pharmacokinetics, and benefit in human sepsis remain unestablished.
Key Findings
- EONPs combined a glutathione-responsive delivery system with STING and DHODH pathway modulation.
- EONPs suppressed systemic hyperinflammation and reprogrammed macrophages toward an anti-inflammatory phenotype.
- EONPs restored gut microbial homeostasis, increased 5-hydroxyindoleacetic acid, and protected against multi-organ injury in septic models.
Methodological Strengths
- Used integrated transcriptomic, metabolomic, metagenomic, and pharmacological approaches.
- Connected cellular immunometabolic effects with microbiome changes and organ-level outcomes in septic models.
Limitations
- The evidence is preclinical and derived from septic models rather than human participants.
- The abstract does not establish long-term toxicity, pharmacokinetics, dose optimization, or comparative efficacy against standard sepsis treatment.
Future Directions: Independent replication in multiple clinically relevant animal models should be followed by pharmacokinetic, toxicology, dose-ranging, and manufacturing studies. Subsequent translational work should determine whether 5-hydroxyindoleacetic acid or other microbiome-derived metabolites can identify responders and whether the platform improves outcomes when combined with antibiotics and source control.
Sepsis is a life-threatening syndrome characterized by dysregulated immune responses and metabolic dysfunction, and remains a major cause of global mortality. While nanomedicine offers new opportunities for sepsis therapy, current strategies rarely achieve comprehensive modulation of macrophage immunometabolism and microenvironmental signaling. Here, we develop a glutathione-responsive nanotherapeutic platform (EONPs) by conjugating the stimulator of interferon genes (STING) inhibitor 4-octyl itaconate to polyethylene glycol, followed by encapsulation of the dihydroorotate dehydrogenase (DHODH) inhibitor EA6. Integrated transcriptomic, metabolomic, and metagenomic analyses combined with pharmacological assessments reveal that EONPs suppress systemic hyperinflammation, reprogram macrophages toward an anti-inflammatory phenotype, restore gut microbial homeostasis, and protect against multi-organ injury in septic models.
2. Proenkephalin A and Heterogeneity of Hydrocortisone Treatment Effect in Septic Shock: A Post Hoc Analysis of the VANISH Trial.
In this post hoc analysis of 173 patients from the double-blind VANISH randomized trial, PENK levels of at least 89 pmol/L were associated with higher 28-day mortality. Among patients reaching the maximum vasopressor threshold, high PENK was associated with fewer kidney failure-free days under hydrocortisone than placebo, whereas this pattern was not observed with low PENK; the mortality interaction was not statistically significant.
Impact: The study addresses a clinically important reason for conflicting corticosteroid trial results by testing treatment-effect heterogeneity with a biologically relevant renal biomarker. Its signal that high-PENK patients may experience less favorable kidney outcomes with hydrocortisone is hypothesis-generating and could inform precision sepsis trials.
Clinical Implications: PENK may eventually help select septic shock patients for corticosteroid therapy, particularly when kidney outcomes are considered. However, clinicians should not withhold hydrocortisone based on PENK alone because the analysis was post hoc, the mortality interaction was nonsignificant, and external prospective validation is required.
Key Findings
- PENK concentrations of at least 89 pmol/L were associated with higher 28-day mortality, with an odds ratio of 3.24.
- Among patients reaching the maximum vasopressor threshold, high PENK was associated with fewer kidney failure-free days when treated with hydrocortisone.
- The interaction between PENK and hydrocortisone was significant for kidney failure-free days but not for 28-day mortality.
Methodological Strengths
- Used biomarker measurements from a double-blind randomized clinical trial.
- Evaluated treatment-effect heterogeneity and included a clinically relevant kidney-centered outcome.
Limitations
- This was a post hoc exploratory analysis with only 173 participants and a smaller subgroup of 111 patients.
- The findings may reflect residual confounding or chance and were not prospectively validated; the mortality interaction was not statistically significant.
Future Directions: Prospective biomarker-stratified randomized trials should test whether PENK modifies the benefit-to-harm balance of hydrocortisone, with prespecified renal and mortality outcomes. Replication in diverse septic shock populations and evaluation of PENK kinetics, assay standardization, and interaction with illness severity are also needed.
OBJECTIVES: Heterogeneity of treatment effect is thought to drive conflicting results for the benefits of corticosteroids in sepsis. Proenkephalin A (PENK) is a biomarker of renal function. Given the kidney's role in sepsis pathophysiology and corticosteroid metabolism, we hypothesized that baseline renal function, assessed using PENK, would be associated with hydrocortisone efficacy. DESIGN: A post hoc analysis of a double-blind, randomized clinical trial in septic shock (Effect of Early Vasopressin vs. Norepinephrine on Kidney Failure in Patients with Septic Shock [VANISH]). SETTING: ICUs across the United Kingdom. PATIENTS: One hundred seventy-three patients admitted to ICU with septic shock. INTERVENTIONS: Norepinephrine vs. vasopressin and hydrocortisone vs. placebo. MEASUREMENTS AND MAIN RESULTS: PENK was measured in plasma, and patients were dichotomized using a PENK concentration above 89 pmol/L. PENK greater than or equal to 89 pmol/L was associated with 28-day mortality (odds ratio, 3.24; 95% CI, 1.62-6.74). We found no interaction between PENK and randomization to vasopressin or norepinephrine on outcome. However, there was a significant interaction between the PENK groups and hydrocortisone or placebo use in those patients who reached the maximum vasopressor threshold (n = 111) for kidney failure-free days (high PENK [≥ 89 pmol/L] placebo 26 [13-28], hydrocortisone 11 [0-26] and low PENK placebo 28 [15-28], hydrocortisone 28 [28-28]; p = 0.01).
3. Controlling nutritional status score as a novel prognostic tool for hospital mortality risk stratification in sepsis: a large-scale retrospective cohort analysis.
In 2,143 sepsis patients from the eICU Collaborative Research Database, hospital mortality increased from 8.13% in the mild malnutrition group to 16.14% and 23.27% in the moderate and severe groups. After adjustment, mortality odds were 1.60-fold higher for moderate and 2.66-fold higher for severe malnutrition compared with mild malnutrition; each one-point CONUT increase was associated with a 15% increase in adjusted mortality odds.
Impact: This large cohort supports a simple, routinely calculable nutritional score as an independent prognostic marker in sepsis. Its main value is practical risk stratification and hypothesis generation for nutrition-focused interventions, rather than immediate proof that modifying nutrition improves survival.
Clinical Implications: CONUT scoring may help clinicians identify septic patients who warrant early nutritional assessment, closer monitoring, and consideration of individualized nutrition support. It should complement, rather than replace, established severity scores and clinical judgment because residual confounding and selection bias remain possible.
Key Findings
- Hospital mortality was 8.13%, 16.14%, and 23.27% in mild, moderate, and severe malnutrition groups, respectively.
- Adjusted hospital mortality odds were 1.60 for moderate and 2.66 for severe malnutrition compared with mild malnutrition.
- Each one-point increase in CONUT score was associated with a 15% higher adjusted odds of hospital mortality; model discrimination was adequate with an AUC of 0.773.
Methodological Strengths
- Included 2,143 sepsis patients from a large critical care database.
- Used multivariable adjustment, subgroup analyses, restricted cubic spline analysis, and calibration assessment.
Limitations
- The retrospective database design cannot establish causality and is vulnerable to residual confounding and selection bias.
- The CONUT score may be affected by acute inflammation, organ dysfunction, and missing or nonstandardized nutritional measurements; external prospective validation is needed.
Future Directions: Prospective multicenter studies should compare CONUT with established severity and nutrition scores, assess whether serial scoring improves prognostic accuracy, and determine whether CONUT-guided nutrition interventions improve patient-centered outcomes. Calibration across different healthcare systems and sepsis phenotypes is also required.
INTRODUCTION: Malnutrition is associated with poor outcomes in critically ill patients. However, the prognostic value of the Controlling Nutritional Status (CONUT) score in sepsis remains unclear. This study aimed to investigate the association between CONUT score and hospital death in sepsis patients. METHODS: In this retrospective cohort study, 2,143 sepsis patients from the eICU Collaborative Research Database were categorized into Mild (2-4 points), Moderate (5-8 points), and Severe (9-12 points) malnutrition groups based on the CONUT score. Multivariable logistic regression analysis was used to evaluate the relationship between CONUT score groups and hospital death. Subgroup analyses were performed to assess the stability of the association across different populations. Restricted cubic spline (RCS) analysis was conducted to examine the potential non-linear relationship between CONUT score and hospital death. RESULTS: Hospital death rates increased progressively across malnutrition groups: 8.13% in Mild, 16.14% in Moderate, and 23.27% in Severe groups (P < 0.001). After fully adjusting for confounding factors, compared with the Mild group, the risk of hospital mortality was significantly higher in the Moderate group (adjusted OR: 1.60, 95% CI: 1.07-2.38, P = 0.021) and Severe group (adjusted OR: 2.66, 95% CI: 1.73-4.07, P < 0.001).