Daily Sepsis Research Analysis
Analyzed 11 papers and selected 3 impactful papers.
Summary
Analyzed 11 papers and selected 3 impactful articles.
Selected Articles
1. RPSA-OLFM4 axis governs neutrophil migration against bacterial infection and sepsis.
Using myeloid-specific knockout mice, human septic neutrophils, and rescue interventions, this study identifies RPSA as a suppressor of OLFM4 that maintains RhoA/ROCK1/pMLC2 signaling, MYH9 dynamics, and neutrophil polarity. Therapeutically targeting the RPSA–OLFM4 axis restored neutrophil migration and improved outcomes in septic mouse models.
Impact: Reveals a previously unrecognized migratory checkpoint linking RPSA to OLFM4 and cytoskeletal control in neutrophils, with demonstrable therapeutic rescue in sepsis models.
Clinical Implications: Suggests a druggable pathway to enhance neutrophil trafficking in bacterial sepsis and positions OLFM4/RPSA expression as potential biomarkers for impaired neutrophil migration.
Key Findings
- Myeloid-specific Rpsa deletion reduced neutrophil infiltration and worsened Streptococcus suis serotype 2 infection.
- RPSA deficiency upregulated OLFM4, suppressing RhoA/ROCK1/pMLC2 signaling, reducing MYH9, and disrupting uropod extension and polarity.
- Neutrophils from septic patients showed decreased RPSA and increased OLFM4 correlating with impaired migration.
- Therapeutic targeting of the RPSA–OLFM4 axis restored neutrophil migration and improved outcomes in infected and septic mice.
Methodological Strengths
- Multi-tier evidence: genetic knockout, adoptive transfer, depletion assays, and rescue interventions across mouse and human systems
- Mechanistic dissection linking OLFM4 to RhoA/ROCK1/pMLC2 signaling and MYH9 dynamics in migrating neutrophils
Limitations
- Preclinical models may not fully capture human sepsis heterogeneity and comorbidities
- Human validation is correlational; therapeutic strategies were not tested in clinical trials
Future Directions: Validate RPSA/OLFM4 as biomarkers in prospective sepsis cohorts; develop and test small molecules or biologics modulating the axis; assess safety/efficacy in early-phase trials.
Neutrophil migration to bacterial infection sites is key for host defense. Host ribosomal protein SA (RPSA) has been recently reported to regulate the anti-infection immunity of immune cells; however, its role in neutrophil migration remains unclear. Here, using myeloid-specific Rpsa-deficient mice, we found that RPSA deletion inhibited neutrophil infiltration and markedly exacerbated Streptococcus suis serotype 2 infection. Adoptive cell transfer and neutrophil depletion assays identified RPSA as vital for the anti-infective function of neutrophils. Mechanistically, RPSA deficiency induced the overexpression of olfactomedin 4 (OLFM4), which in turn inhibited the activation of the RhoA/ROCK1/pMLC2 signaling pathway, reduced MYH9 expression, and caused aberrant MYH9 translocation from the uropod to the cytosol in migrating neutrophils. Ultimately, this disrupted cytoskeletal polarization and uropod extension, thereby abrogating migratory function. Clinically, septic patients' neutrophils exhibited reduced RPSA and elevated OLFM4 expression, a phenotype that correlated with a marked impairment of migratory capacity. Therapeutic targeting of the RPSA-OLFM4 axis restored neutrophil migration and improved disease outcomes in both S. suis 2-infected and septic mice. Thus, our findings demonstrate that RPSA promotes neutrophil migration via downregulating OLFM4 to counter bacterial infection, and establish the RPSA-OLFM4 axis as a critical immune migratory checkpoint in host antibacterial immunity.
2. CHD1 regulates the inflammatory response in macrophages and functions as a pharmacological target during sepsis.
CHD1 is induced via TLR4/MyD88 in LPS-stimulated macrophages, augments NF-κB–dependent inflammatory transcription, and drives early hyperinflammation in sepsis. Pharmacologic CHD1 inhibition improved survival and organ injury in septic mice, and high blood CHD1 in early human sepsis correlated with severity and poor outcomes.
Impact: Identifies a druggable chromatin remodeler as a central macrophage regulator in sepsis, linking mechanistic insight to therapeutic intervention and prognostic biomarker potential.
Clinical Implications: Supports CHD1 as an early therapeutic target to temper hyperinflammation and as a candidate blood biomarker for risk stratification in sepsis.
Key Findings
- CHD1 is upregulated in macrophages after LPS via TLR4/MyD88 and interacts with NF-κB to enhance pro-inflammatory transcription.
- Early pharmacologic inhibition of CHD1 improved survival and mitigated multi-organ injury in LPS-induced sepsis mice.
- Higher blood CHD1 expression in early sepsis patients associated with increased severity and poorer prognosis in public transcriptomic datasets.
Methodological Strengths
- Integrated bioinformatics with in vitro and in vivo validation, including therapeutic intervention testing
- Clinical relevance supported by analyses of sepsis patient transcriptomic datasets
Limitations
- LPS-induced models may not fully recapitulate pathogen diversity and immune dynamics of human sepsis
- Selectivity, pharmacokinetics, and safety of CHD1 inhibitors require comprehensive profiling before clinical translation
Future Directions: Optimize and characterize CHD1 inhibitors, validate CHD1 as a prognostic biomarker in prospective cohorts, and evaluate target engagement and efficacy in early-phase sepsis trials.
Inflammation is a defining feature of sepsis and a major determinant of disease progression, organ dysfunction, and mortality. Excessive inflammatory responses during the early stage not only cause direct tissue injury but also shape subsequent immune suppression. Macrophages are central orchestrators of this early immune response; however, the molecular regulators that govern macrophage activation in sepsis remain incompletely understood. In this study, integrated bioinformatic analyses of lipopolysaccharide (LPS)-stimulated macrophages combined with experimental validation were performed to identify key regulatory factors and elucidate the underlying mechanisms driving inflammatory responses. An LPS-induced mouse model of sepsis was used to evaluate the therapeutic potential of pharmacological key factor inhibition. In addition, public transcriptomic datasets from sepsis patients were analyzed to assess the clinical relevance of its expression. The results demonstrated that CHD1 was identified as a previously unrecognized regulator of macrophage-driven inflammation in sepsis. CHD1 expression was induced in macrophages following LPS stimulation through the TLR4/MyD88 signaling axis. Mechanistically, CHD1 amplified pro-inflammatory cytokine production by interacting with NF-κB. Early pharmacological inhibition of CHD1 markedly improved survival and alleviated multi-organ injury in septic mice. Furthermore, analysis of clinical transcriptome datasets revealed that elevated blood CHD1 expression in early sepsis was associated with disease severity and poor prognosis. Collectively, this study identifies macrophage-derived CHD1 as a critical driver of inflammation in sepsis by selectively enhancing NF-κB-dependent inflammatory transcription. Targeting CHD1 represents a promising strategy for early intervention in sepsis and may provide both prognostic and therapeutic value.
3. Disease burden of maternal sepsis and maternal infections in low- and middle-income countries from 1990 to 2023 and projections to 2035: An analysis based on the global burden of disease study.
Across 129 LMICs, relative MSMI burden fell since 1990 (largest decline in DALY rates), but absolute incident and prevalent cases rose, especially in low-income countries driven by population growth, with widening inequalities. Projections to 2035 suggest continued mortality declines but limited reductions in incidence, underscoring targeted, equity-focused interventions.
Impact: Provides comprehensive, methodologically rich estimates of maternal sepsis/infection burden and inequities over three decades, directly informing policy and resource allocation in LMICs.
Clinical Implications: Guides health systems to prioritize maternal sepsis prevention and timely care in low-income settings, integrate equity metrics into routine surveillance, and plan resources proportionate to population growth.
Key Findings
- DALY rates for MSMI declined substantially from 1990–2023 (EAPC = -3.11; 95% CI: -3.26 to -2.95).
- Absolute incident and prevalent cases increased by 24% and 33%, while deaths and DALYs fell by 37% and 39%, respectively.
- Low-income countries saw incident and prevalent cases rise by 126% and 109%, mainly driven by population growth (incidence and prevalence contributions: 121.6% and 136.5%).
- Inequalities widened: concentration indices for DALY and mortality rates became more negative (DALY: -0.392 to -0.594; mortality: -0.395 to -0.603).
- ARIMA projects continued mortality decline to 2035 (-6.4% average annual), but only limited incidence reduction (-0.82% per year).
Methodological Strengths
- Use of GBD 2023 across 129 LMICs with standardized estimates enabling cross-country comparisons
- Comprehensive analytics: joinpoint regression, decomposition, inequality metrics, and ARIMA forecasting
Limitations
- Reliance on modeled estimates with potential data quality and coding variability across countries
- Ecological design limits causal inference; forecasts subject to model assumptions
Future Directions: Strengthen vital registration and sepsis-specific coding, integrate facility-level clinical data, and evaluate the impact of targeted maternal sepsis interventions on trends and inequalities.
BACKGROUND: Maternal sepsis and maternal infections (MSMI) are significant causes of maternal mortality in low- and middle-income countries (LMICs). This study, leveraging data from the Global Burden of Disease Study 2023 (GBD 2023), intended to evaluate the trends in the disease burden of MSMI in LMICs from 1990 to 2023, along with its inequality characteristics and future trends. METHODS: Based on the GBD 2023 database, data on the incidence, prevalence, mortality, and disability-adjusted life years (DALYs) rates of MSMI in 129 LMICs from 1990 to 2023 were extracted. Joinpoint regression, decomposition analysis, and health inequality analysis were employed to evaluate changes in disease burden and their driving factors. An autoregressive integrated moving average (ARIMA) model was established to predict trends in disease burden from 2024 to 2035. RESULTS: From 1990 to 2023, the relative burden of MSMI in LMICs generally declined, and the most pronounced decrease was observed in the DALYs rate (estimated annual percentage change (estimated annual percentage change (EAPC) = -3.11, 95% confidence interval (CI): -3.26 to -2.95). However, the absolute burden showed a divergent trend. Specifically, the number of incident cases and prevalent cases increased by 24% and 33%, respectively, while the number of deaths and DALYs decreased by 37% and 39%, respectively. Stratified analysis uncovered that the burden worsened in low-income (gross national income (GNI)-L) countries (with incident cases and prevalent cases rising by 126% and 109%, respectively), whereas decreases were more significant in upper-middle-income (GNI-UM) countries (with deaths and DALYs decreasing by 83% and 81%, respectively). The increased burden in GNI-L countries was primarily driven by population growth, with relative contributions to the incidence burden and prevalence burden of 121.6% and 136.5%, respectively. In addition, widening health inequalities were observed. The concentration indexes for the DALYs rate and mortality rate decreased from -0.392 to -0.594 and from -0.395 to -0.603, respectively. ARIMA projections indicated that while the mortality rate was expected to continue to decline from 2024 to 2035 (with an average annual decrease of -6.4%), the decrease in the incidence rate was projected to be limited (with an average annual decrease of -0.82%). CONCLUSION: Over the past three decades, while the overall burden of MSMI in LMICs has decreased, the control of its absolute burden remains insufficient. GNI-L countries continue to bear a higher burden and experience widening health inequalities. Future prevention and control efforts should not only focus on continuously reducing the overall burden but also prioritize targeted resource allocation for GNI-L countries. Moreover, equity should be integrated into routine monitoring and evaluation systems.