ArticleFrontiers in immunology2026
Serum proteomic profiling of sepsis patients reveals a protein-based diagnostic model, with metabolomic insights into carbapenem-resistant
Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Research Progress of Sepsis and Nutrition: A Bibliometric and Visualized Analysis.Journal of inflammation research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Sepsis caused by carbapenem-resistant Klebsiella pneumoniae (CRKP) is associated with high mortality. Current research is predominantly pathogen-centric, creating a knowledge gap regarding the host's systemic molecular response, which is critical for understanding outcomes and developing diagnostic strategies. This study aimed to characterize the host serum proteomic and metabolomic landscape of CRKP sepsis and to develop a proteomics-derived biomarker panel for differential diagnosis, while integrating metabolomic data to gain mechanistic insights into host pathways. Methods: Serum samples from sepsis patients, including culture-negative controls, and individuals infected with carbapenem-susceptible or carbapenem-resistant Klebsiella pneumoniae (CSKP and CRKP), underwent in-depth proteomic and metabolomic profiling. Differential expression, functional enrichment, and trend analyses were performed to characterize host molecular alterations associated with carbapenem resistance. Machine learning approaches were applied to construct diagnostic models based on host-derived molecular features. Candidate biomarker proteins were further validated using targeted parallel reaction monitoring (PRM) in an independent cohort. Results: We identified 85 differentially expressed proteins (DEPs) distinguishing CRKP from CSKP, enriched in viral infection-related pathways, antigen presentation, and phagosome function. Trend analysis revealed a protein cluster (51 proteins) with stepwise increased abundance from controls to CSKP to CRKP, implicating coagulation, immune signaling, and metabolic dysfunction. Based on proteomic data, a four-protein biomarker panel (IGHV1-8, ITGA2, PKP1, IGFBP6) effectively differentiated CRKP from CSKP (test AUC = 0.920). Targeted proteomic validation in an independent cohort confirmed the differential expression of key model proteins, including IGFBP6 (CRKP vs. CSKP) and APOA2 (CSKP vs. controls). Metabolomics identified 128 differential metabolites in CRKP vs. CSKP, with enrichment in thermogenesis and amino acid/fatty acid degradation pathways. Integrated pathway analysis of proteomic and metabolomic data highlighted dysregulation in cysteine/methionine metabolism and the folate-mediated one-carbon pool, with MAT2B as a key connecting protein. Conclusion: This first host-based multi-omics study of CRKP sepsis suggests distinct molecular signatures linked to resistance and disease severity. The independently validated biomarkers show high diagnostic potential, offering a preliminary foundation for early, non-invasive diagnosis and precision intervention strategies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.