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Daily Report

Daily Sepsis Research Analysis

02/03/2026
3 papers selected
31 analyzed

Analyzed 31 papers and selected 3 impactful papers.

Summary

Three impactful sepsis studies emerged: a proteome-wide Mendelian randomization identified GSTP1 as a protective causal protein with multi-omics validation; a large systematic review/meta-analysis refined infant clinical signs linked to sepsis and mortality; and a prospective cohort proposed the splenic Doppler resistive index (SDRI) as an early hemodynamic predictor of in-hospital death. Together, they advance precision targets, risk algorithms, and point-of-care monitoring.

Research Themes

  • Genetic and multi-omics target discovery in sepsis
  • Clinical sign algorithms for infant sepsis triage
  • Point-of-care ultrasound hemodynamic biomarkers

Selected Articles

1. GSTP1 as a novel protective target in sepsis: evidence from proteome-wide Mendelian randomization and multi-omics analyses.

81Level IIICase-control
BMC infectious diseases · 2026PMID: 41629825

Using two-sample proteome-wide MR across independent pQTL resources with multi-omics validation, GSTP1 emerged as a protective causal protein for sepsis, while SFRP1, IL1RL1, and INHBB conferred risk. Methylation at cg25135322 increased sepsis risk, immune profiling suggested GSTP1 links to adaptive immunity, and docking highlighted Exatecan mesylate and Misonidazole as candidate binders.

Impact: This study provides causal inference and multi-omics corroboration for GSTP1 as a protective target, advancing precision biomarker and target development beyond association studies.

Clinical Implications: While not immediately practice-changing, GSTP1 could underpin future diagnostic assays and therapeutics; measuring GSTP1 or modulating its pathway may enable risk stratification and targeted intervention in sepsis.

Key Findings

  • Two-sample MR across Decode (4,907 proteins) and UKB-PPP (2,640 proteins) identified 15 overlapping sepsis-associated proteins.
  • GSTP1 showed a protective causal effect; SFRP1, IL1RL1, and INHBB were risk-associated and validated across datasets including 28-day mortality.
  • GSTP1 locus methylation at cg25135322 increased sepsis risk (OR 1.0844, 95% CI 1.0339-1.1374), and immune profiling linked GSTP1 to resting NK/CD8+ T cells (positive) and neutrophils (negative).
  • Single-cell RNA sequencing showed elevated GSTP1 in T/B cells and reduced in monocytes in sepsis.
  • Molecular docking suggested Exatecan mesylate and Misonidazole as candidate GSTP1 binders.

Methodological Strengths

  • Two-sample Mendelian randomization using independent proteomic pQTL datasets with replication.
  • Multi-omics validation including transcriptomics, immune infiltration, single-cell RNA-seq, mediation analysis, and ROC evaluation.

Limitations

  • Mendelian randomization relies on instrumental variable assumptions and cannot establish therapeutic efficacy.
  • Generalizability may be limited by cohort ancestries and proteomic platforms; no in vivo functional validation.

Future Directions: Experimental validation of GSTP1 modulation in sepsis models; development of clinical assays; early-phase trials testing GSTP1-targeting strategies or repurposing candidate binders.

BACKGROUND: Sepsis, a life-threatening inflammatory syndrome with incompletely understood genetic mechanisms, necessitates identification of pathogenic proteins to advance precision medicine. This study integrated Mendelian randomization (MR) and multi-omics analyses to systematically investigate causal proteins and their regulatory mechanisms in sepsis. METHODS: We employed a multi-step framework combining two-sample MR, expression validation, immune infiltration analysis, single-cell RNA sequencing and mediation analysis. Exposure variables included cis-protein quantitative trait loci (cis-pQTLs) from two plasma proteome datasets (4,907 proteins from Decode and 2,640 proteins from UKB-PPP), with sepsis (ieu-b-4980) and 28-day sepsis (ieu-b-5086) serving as the outcome. Intersection analysis revealed the candidate proteins common between the two cis-pQTL datasets, followed by multi-omics validation using microarray expression profiling, receiver operating characteristic (ROC) analysis, and methylation quantitative trait loci (mQTLs). We also performed mediation analyses to assess whether immune cells potentially mediate causal pathways linking proteins to sepsis. Drug prediction was performed using DGIdb and molecular docking was subsequently used to identify the candidate drugs. RESULTS: MR analysis identified 97 (Decode) and 130 (UKB-PPP) sepsis-associated proteins, with 15 overlapping candidates. Among these, SFRP1, IL1RL1, and INHBB were validated as risk factors, while GSTP1 exhibited protective effects. They exhibited directionally concordant expression differences across an independent microarray dataset GSE95233. Furthermore, the associations of IL1RL1, INHBB, and GSTP1 with sepsis were replicated in the 28-day mortality dataset. ROC analysis demonstrated the superior diagnostic performance of GSTP1 for sepsis. MR further revealed that methylation at the GSTP1 locus cg25135322 increased the risk of sepsis (OR = 1.0844, 95% CI = 1.0339-1.1374). Immune infiltration analysis showed that GSTP1 expression was positively correlated with resting NK cells and CD8 + T cells, but negatively correlated with neutrophils. Single-cell RNA sequencing revealed the elevated GSTP1 expression in T cells and B cells, but reduced expression in monocytes of patients with sepsis. Mediation analysis suggested that CD39 + CD8br Treg cells might partially mediate the protective effects of GSTP1, accounting for 9.8% (Decode) and 11.47% (UKB-PPP) of the total effect, respectively. Four candidate drugs were identified, with Exatecan mesylate and Misonidazole showing optimal binding with GSTP1. CONCLUSIONS: This study identified three proteins with putative causal associations with sepsis risk, providing valuable clues for the development of biomarkers and therapeutic targets for sepsis.

2. Clinical Signs Associated With Mortality and Sepsis in Young Infants: A Systematic Review and Meta-Analysis.

77Level ISystematic Review/Meta-analysis
JAMA pediatrics · 2026PMID: 41627835

Across 52 studies (n=140,885), multiple clinical signs in young infants showed strong associations with mortality and culture-confirmed sepsis. Not feeding well, prolonged capillary refill, altered level of consciousness, and abnormal cry were among the most predictive signs, validating WHO IMCI and identifying additional candidates to refine triage algorithms.

Impact: Provides high-level evidence to optimize infant sepsis recognition in settings where clinical signs drive decision-making, potentially informing updates to IMCI and hospital algorithms.

Clinical Implications: Algorithms for managing sick young infants can prioritize signs with strongest associations (e.g., feeding difficulty, capillary refill, consciousness changes), improving triage and timely treatment when labs are limited.

Key Findings

  • 52 studies (140,885 participants) identified 16 signs linked to mortality, 11 to culture-confirmed sepsis, and 13 to clinical sepsis.
  • Top mortality-associated signs included abnormal/weak/absent cry (OR 20.48), inability to feed (OR 18.32), not feeding well (OR 13.39), drowsiness/unconsciousness (OR 12.46), and prolonged capillary refill (OR 12.06).
  • Key culture-confirmed sepsis signs included not feeding well (OR 4.52), prolonged capillary refill (OR 3.59), lethargy (OR 3.44), drowsiness/unconsciousness (OR 3.07), and feeding intolerance (OR 2.95).

Methodological Strengths

  • Comprehensive multi-database search with duplicate screening and standardized quality assessment (QUADAS-2, QUAPAS).
  • Random-effects meta-analysis with large aggregated sample size improving precision.

Limitations

  • Heterogeneity in sign definitions and study designs; predominance of observational data limits causal inference.
  • Potential publication bias and variability in laboratory access across settings.

Future Directions: Prospective validation of refined sign combinations in diverse settings and integration into updated IMCI/hospital protocols; exploration of digital decision-support tools.

IMPORTANCE: Early and accurate identification of clinical warning signs in young infants may help avert sepsis morbidity and mortality in resource-limited settings. OBJECTIVE: To systematically review evidence on the association and accuracy of clinical signs to diagnose sepsis or predict mortality in young infants aged 0 to 59 days to inform management in settings with limited laboratory diagnostics. DATA SOURCES: MEDLINE, Embase, CINAHL, Global Index Medicus, and Cochrane CENTRAL Register were searched from inception through May 2023, with updated searches on September 5, 2024. An umbrella search of systematic reviews was conducted in January 2024. STUDY SELECTION: Included studies reported data on 24 infant clinical signs informed by current World Health Organization (WHO) Integrated Management of Childhood Illness (IMCI) and hospital-based algorithms for the care of sick young infants reporting odds ratios (OR), risk ratios, or sensitivity and specificity. DATA EXTRACTION AND SYNTHESIS: Data were extracted independently by 2 reviewers. Quality assessment used the Newcastle-Ottawa, Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), and Quality Assessment of Prognostic Accuracy Studies (QUAPAS) scales. OR data were pooled using random-effects models. Data analysis was performed from July to September 2025. MAIN OUTCOMES AND MEASURES: OR of all-cause mortality, culture-confirmed sepsis, or clinical sepsis (with access to laboratory investigations). RESULTS: Of 7641 studies, 52 studies with 140 885 participants were included. A total of 16 clinical signs were significantly associated with mortality, 11 with culture-confirmed sepsis, and 13 with clinical sepsis. For mortality, the 5 strongest associations were weak, abnormal, or absent cry (OR, 20.48; 95% CI, 6.59-63.67); not able to feed at all (OR, 18.32; 95% CI, 6.00-55.97); not feeding well (OR, 13.39; 95% CI, 6.97-25.72); drowsiness or unconsciousness (OR, 12.46; 95% CI, 6.06-25.62); and prolonged capillary refill (OR, 12.06; 95% CI, 2.77-52.53). The top 5 signs associated with culture-confirmed sepsis were not feeding well (OR, 4.52; 95% CI, 1.10-18.59); prolonged capillary refill (OR, 3.59; 95% CI, 2.05-6.28); lethargy (OR, 3.44; 95% CI, 1.89-6.26); drowsiness or unconsciousness (OR, 3.07; 95% CI, 2.01-4.68); and feeding intolerance (OR, 2.95; 95% CI, 1.67-5.21). CONCLUSIONS AND RELEVANCE: All current WHO IMCI clinical signs were significantly associated with mortality or culture-confirmed sepsis. Several signs not in IMCI were identified that may improve identification of life-threatening illness in young infants in resource-limited settings where clinical sign algorithms are the primary diagnostic tool.

3. Evaluation of the splenic Doppler resistive index as a hemodynamic variable and its association with mortality in sepsis: A prospective cohort study.

69.5Level IICohort
Medicine · 2026PMID: 41630340

In a single-center prospective cohort of 109 adults with sepsis/septic shock, SDRI measured within 6 hours of arrival was associated with in-hospital mortality, with SDRI >0.7 indicating poorer survival through day 38. Standardized ultrasound acquisition supports feasibility of this early hemodynamic biomarker.

Impact: Introduces SDRI as a bedside, noninvasive hemodynamic marker linked to mortality in sepsis, potentially augmenting early risk stratification beyond conventional vitals and labs.

Clinical Implications: If validated, SDRI (splenic Doppler resistive index) may be incorporated into early sepsis assessment to identify high-risk patients for intensified monitoring and timely interventions.

Key Findings

  • Prospective enrollment of 109 adults with sepsis/septic shock; SDRI measured within 6 hours of ER resuscitation room admission.
  • SDRI >0.7 was associated with reduced survival from day 0 to day 38 of hospitalization, suggesting link to in-hospital mortality.
  • Standardized ultrasound protocol and concurrent capture of clinical variables (e.g., capillary refill, mottling score) support feasibility.

Methodological Strengths

  • Prospective cohort design with early standardized ultrasound measurement within 6 hours.
  • Use of Sepsis-3 criteria and concurrent structured capture of key clinical covariates.

Limitations

  • Single-center study with modest sample size; external validity uncertain.
  • Limited statistical detail in abstract (no adjusted effect sizes reported); operator dependency inherent to Doppler measures.

Future Directions: Multicenter validation with adjusted models; assessment of SDRI integration with SOFA/lactate; evaluation of responsiveness to resuscitation and predictive threshold optimization.

This study aims to estimate the association between the splenic Doppler resistive index (SDRI) and in-hospital mortality in patients with sepsis. A prospective analytic cohort study was conducted on 109 consecutive adult patients with sepsis or septic shock, admitted to the emergency resuscitation room of a 4th-level referral center in Bogotá, Colombia, between November 2023 and October 2024, until the required statistical sample size was reached. A total of 109 consecutive adult patients (aged ≥18 years) with a diagnosis of sepsis or septic shock, based on the Sepsis-3 definition, were admitted to the emergency resuscitation room. Exclusion criteria included pregnancy, breastfeeding, inability to perform an apnea maneuver for Doppler measurement, severe hyperactive delirium, abdominal conditions limiting ultrasound access, severe peripheral arterial disease, disorders affecting hepatosplanchnic circulation, and permanent cardiac arrhythmias. The SDRI was measured within the 1st 6 hours after admission to the emergency resuscitation unit. The principal investigator received standardized training from the affiliated radiologist. Additional clinical variables were simultaneously recorded using a standardized data collection tool, including demographic characteristics, vital signs, site of infection, laboratory tests, blood culture, capillary refill time, Glasgow Coma Scale, and mottling score. In sepsis, SDRI of >0.7 showed lower survival from day 0 to day 38 of hospitalization. Thus, an association between SDRI of >0.7 and in-hospital mortality is suggested. Further studies are required to confirm these findings.