Skip to main content
Daily Report

Daily Sepsis Research Analysis

06/22/2026
3 papers selected
8 analyzed

Analyzed 8 papers and selected 3 impactful papers.

Summary

Analyzed 8 papers and selected 3 impactful articles.

Selected Articles

1. Reduced myocardial NRG-1/ErbB4 signaling is associated with STING-linked macrophage pyroptotic signaling in sepsis-induced cardiac injury.

74.5Level VCohort
International immunopharmacology · 2026PMID: 42322855

In CLP-induced sepsis, myocardial NRG-1/ErbB4 signaling declines and is linked to STING-mediated macrophage pyroptosis. Recombinant NRG-1 improved cardiac function, reduced injury/inflammation, increased 14-day survival, and suppressed cGAS–STING and pyroptosis pathways; STING overexpression blunted these benefits.

Impact: This study defines a targetable inflammatory-metabolic axis (NRG-1/ErbB4–STING–pyroptosis) in septic cardiomyopathy and demonstrates survival benefit with rNRG-1 in vivo, advancing translational prospects.

Clinical Implications: NRG-1 or STING-pathway modulation could emerge as therapeutic strategies for septic cardiac dysfunction; dosing, timing, and patient selection require clinical evaluation.

Key Findings

  • CLP rapidly reduced myocardial NRG-1 abundance and ErbB4 phosphorylation.
  • rNRG-1 improved LVEF/LVFS, lowered CK-MB and LDH, and increased 14-day survival from 26.67% to 60.00%.
  • rNRG-1 suppressed cGAS expression and phosphorylation of STING, TBK1, IRF3, and NF-κB p65.
  • Pyroptosis markers (NLRP3, cleaved caspase-1, GSDMD-N, IL-18) and inflammatory cell infiltration were reduced.
  • AAV-mediated STING overexpression worsened dysfunction and attenuated rNRG-1’s protective effects.

Methodological Strengths

  • Clinically relevant polymicrobial CLP model with survival endpoint.
  • Multi-level mechanistic interrogation including AAV-mediated STING overexpression and pathway readouts.
  • Comprehensive functional, biochemical, and histologic assessments.

Limitations

  • Pre-treatment (immediately before CLP) may not reflect clinical initiation timing.
  • Mouse-only study; generalizability to humans is uncertain.
  • Cell-type–specific causality not fully resolved despite regional analyses.

Future Directions: Test post-insult dosing windows, dose–response, and cell-type–specific manipulations; evaluate NRG-1 and STING inhibitors in large-animal models and early-phase clinical trials.

Sepsis-induced cardiac injury lacks a mechanism-specific therapy, and loss of endogenous myocardial defense signaling may amplify inflammatory damage. We investigated whether recombinant neuregulin-1 (rNRG-1) protects against cecal ligation and puncture (CLP)-induced cardiac injury and whether stimulator of interferon genes (STING)-linked macrophage pyroptosis-associated signaling contributes to this response. Male mice underwent CLP or sham surgery. Myocardial NRG-1/ErbB4 signaling was assessed over time, rNRG-1 was administered intravenously at 25 μg/kg immediately before CLP, and cardiac function, injury markers, inflammatory infiltration, survival, cGAS-STING signaling, and pyroptosis-associated readouts were evaluated. AAV-mediated STING overexpression was used to test whether STING activation weakens rNRG-1-mediated protection. CLP rapidly reduced myocardial NRG-1 abundance and ErbB4 phosphorylation, while NRG-1 and ErbB4 signals were detectable in vascular, myocardial, and CD68-positive inflammatory-cell-rich compartments. rNRG-1 improved left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS), reduced serum creatine kinase-MB (CK-MB) and lactate dehydrogenase (LDH), increased 14-day survival from 26.67% to 60.00%, and decreased myocardial CD68-positive macrophage accumulation and myeloperoxidase (MPO)-positive inflammatory cell infiltration. rNRG-1 also suppressed cGAS expression and the phosphorylation of STING, TBK1, IRF3, and NF-κB p65, while reducing NLRP3, cleaved caspase-1, GSDMD-N, and IL-18 levels, with fewer CD68-positive cells showing STING activation, downstream inflammatory signaling, or pyroptosis-associated markers. AAV-mediated STING overexpression worsened CLP-induced dysfunction and substantially weakened the functional, biochemical, inflammatory, and pyroptosis-associated signaling effects of rNRG-1. These findings indicate that polymicrobial sepsis is associated with reduced myocardial NRG-1/ErbB4 signaling and that rNRG-1 attenuates early septic cardiac injury in association with reduced STING-linked inflammatory and pyroptosis-associated signaling in CD68-positive, macrophage-rich myocardial regions, rather than establishing a macrophage-specific mechanism.

2. Transcriptomics and metabolomics reveal the protective effect of β-hydroxybutyrate on sepsis associated encephalopathy.

70Level VCohort
Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026PMID: 42323517

In a CLP mouse model of sepsis-associated encephalopathy, β-hydroxybutyrate reversed cognitive deficits, reduced hippocampal neuronal loss and microglial activation, and partially restored depleted serum metabolites. Integrated multi-omics implicated suppression of NF-κB signaling as a key link between metabolic changes and anti-inflammatory gene expression.

Impact: Links a readily translatable metabolite (BHB) to neuroprotection in sepsis through an NF-κB–centered mechanism supported by convergent metabolomic and transcriptomic data.

Clinical Implications: Exogenous ketones or ketogenic strategies may mitigate sepsis-associated encephalopathy; dosing, safety, and timing require rigorous clinical evaluation.

Key Findings

  • BHB reversed CLP-induced cognitive impairment in the Barnes maze.
  • BHB reduced hippocampal neuronal loss, Iba-1–positive microglial activation, and proinflammatory cytokines.
  • SAE decreased serum galactose, glycerophosphocholine, taurine, and hypotaurine; BHB partially restored these metabolites.
  • Integrated analyses pointed to NF-κB pathway suppression; Western blot confirmed decreased NF-κB activation in hippocampus.
  • Inflammatory gene signatures (e.g., TNF, IL6, IL1B, NFKB1) negatively correlated with galactose/hypotaurine/taurine levels.

Methodological Strengths

  • Integrated metabolomics and transcriptomics with behavioral, histologic, and protein-level validation.
  • Use of a clinically relevant CLP model to probe neurocognitive outcomes.
  • Concordant multi-omics correlations linking metabolic and inflammatory pathways.

Limitations

  • Preclinical mouse study without human validation.
  • Causal roles of individual metabolites were inferred by correlation, not direct manipulation.
  • Dose–response, pharmacokinetics, and treatment window optimization were not detailed.

Future Directions: Test BHB dosing regimens, timing, and delivery routes; dissect cell-type specificity and causal metabolite–gene relationships; initiate early-phase clinical studies in sepsis-associated encephalopathy.

BACKGROUND: In this study, metabolomics and transcriptomics were applied to reveal the potential mechanisms underlying the protective effects of β-hydroxybutyrate (BHB) on sepsis-associated encephalopathy (SAE). METHODS: A mouse SAE model was established. The Barnes maze was used to evaluate cecal ligation and puncture (CLP)-induced cognitive impairment. Neuronal survival, microglial activation, and proinflammatory cytokine levels were assessed using Nissl staining, immunofluorescence staining, and RT-qPCR. Serum metabolites and cerebral genes from control, SAE, and SAE mice treated with BHB were compared. Metabolomics and transcriptomics analysis were performed. Finally, based on the integrated transcriptomic and metabolomic analyses, we identified the target signaling pathway. RESULTS: Our results demonstrated that β-hydroxybutyrate (BHB) markedly reversed CLP-induced cognitive impairment. BHB administration attenuated neuronal loss and histopathological damage in the hippocampus, accompanied by reduced production of pro-inflammatory cytokines and decreased activation of Iba-1-positive microglia in SAE mice. Metabolomic profiling revealed that SAE induced significant alterations in serum metabolic signatures, with galactose, glycerophosphocholine, taurine, and hypotaurine levels markedly decreased. BHB treatment partially restored these metabolite levels toward normal. Transcriptomic analysis identified significant enrichment of the NF-κB signaling pathway in response to BHB treatment in SAE mice. Correlation analysis further showed that NF-κB-associated inflammatory genes (including VCAM1, TNF, NFKBIA, NFKB1, IL6, IL1B, ICAM1, CXCL family members, CD40, and CCL4/5) were strongly and negatively correlated with galactose, hypotaurine, and taurine levels, whereas glycerophosphocholine exhibited weak or non-significant associations. Consistent with the multi-omics findings, protein-level validation by Western blot confirmed that BHB suppressed SAE-induced activation of the NF-κB pathway in hippocampal tissue. CONCLUSION: Overall, this study reveals that BHB exerts neuroprotective effects in SAE through integrated metabolic and transcriptional reprogramming, in which attenuation of NF-κB-mediated inflammatory signaling represents a key mechanistic link between altered serum metabolites and downstream gene expression changes.

3. Plasma proteomics reveal SERPINA1 and CD59 as candidate biomarkers for COVID-19 severity stratification and prognosis prediction.

66Level IIICohort
Annals of medicine · 2026PMID: 42323884

Plasma proteomics across COVID-19 severity classes identified SERPINA1 and CD59 as prognostic biomarkers linked to coagulation/complement activity. Individually and combined, they outperformed D-dimer and FDP for predicting 12-month mortality and sepsis, with independent prognostic value confirmed by multivariable analysis.

Impact: Provides externally validated, proteomics-derived biomarkers with strong discriminative performance for long-term outcomes and sepsis in COVID-19, surpassing standard coagulation markers.

Clinical Implications: Incorporating SERPINA1 and CD59 may enhance risk stratification and monitoring beyond D-dimer/FDP in COVID-19, informing escalation decisions and follow-up intensity pending prospective validation.

Key Findings

  • Proteomics showed progressive activation of coagulation and complement pathways with increasing COVID-19 severity.
  • SERPINA1 and CD59 levels were significantly higher in severe cases and were validated in an independent cohort.
  • SERPINA1 predicted 30-day and 12-month mortality (AUC 0.775 and 0.924).
  • CD59 predicted sepsis (AUC 0.720), and the combined model improved prediction of 12-month mortality (AUC 0.946) and sepsis (AUC 0.904).
  • Multivariable regression confirmed independent prognostic value, outperforming D-dimer and FDP.

Methodological Strengths

  • Independent validation cohort strengthens generalizability.
  • Bootstrap-corrected ROC analyses and multivariable regression reduce optimism and confounding.
  • Proteome-wide approach identifies pathway-level biology (coagulation/complement).

Limitations

  • Exploratory observational design; causality cannot be inferred.
  • Clinical implementation thresholds and assay standardization were not defined.
  • Generalizability beyond the studied populations and variants requires prospective multicenter validation.

Future Directions: Prospective multicenter validation with predefined cutoffs; head-to-head comparison against composite clinical scores; assay harmonization for clinical deployment.

BACKGROUND: COVID-19 has been closely associated with coagulation abnormalities. However, existing biomarkers, including D-dimer and fibrin degradation products (FDP), exhibit limited accuracy in stratifying disease severity and predicting long-term clinical outcomes. OBJECTIVES: This study aimed to use proteomic analysis to identify plasma biomarkers associated with COVID-19 severity and prognosis, and validate their predictive utility for mortality and thromboembolic complications. METHODS: Plasma proteomic profiles were analyzed across three COVID-19 severity classes. Differential expression analysis and functional analysis were performed. Clustering analysis was used to identify proteins correlated with disease severity. Candidate biomarkers were validated in an independent cohort. Predictive performance of the biomarkers for mortality, sepsis and venous thromboembolism was evaluated using bootstrap-corrected ROC analyses and multivariable regression analyses. RESULTS: Proteomic analysis revealed progressive involvement of the coagulation and complement pathway with increasing disease severity. SERPINA1 and CD59 were identified as candidate biomarkers and exhibited significantly higher plasma levels in severe cases. Bootstrap-corrected ROC analyses demonstrated strong predictive performance: SERPINA1 achieved AUCs of 0.775 and 0.924 for 30-day and 12-month mortality, and CD59 achieved AUCs of 0.720 for sepsis; the combined model further improved prediction of 12-month mortality (AUC 0.946) and sepsis (AUC 0.904), outperforming D-dimer and FDP. Multivariable regression confirmed their independent prognostic value. CONCLUSION: This exploratory study identifies SERPINA1 and CD59 as candidate prognostic biomarkers in COVID-19, highlighting the role of coagulation and complement-related pathways in disease severity and warranting further prospective validation.