ArticlePeerJ2026
Platelet proteome for predictive diagnosis and differentiation of sepsis and septic shock in pediatric patients.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Objectives: Platelet hyperreactivity and thrombocytopenia are strongly correlated with elevated mortality rates in sepsis, particularly in cases of septic shock. This study aimed to predict pediatric sepsis and distinguish it from septic shock by profiling the platelet proteome. Methods: We conducted a comparative proteomic analysis of platelet protein expression in five individuals with sepsis, five individuals with septic shock and five healthy subjects, utilizing mass spectrometry (DIA-MS). Results: Our proteomic analysis identified that 316 and 83 differentially expressed proteins (DEPs) in sepsis and septic shock groups, respectively, each compared to the control group. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis unveiled that the DEPs in patients with clinical spectrum of sepsis severity were associated with molecular functions. Comparative Gene Ontology (GO) analysis of DEPs demonstrated distinct spatial enrichment: while 'extracellular region' was the top altered term in sepsis, septic shock patients displayed significant enrichment in 'extracellular region' and 'extracellular space'. KEGG pathway analysis identified enrichment of DEPs in pathways related to 'Lysosome'. Protein-protein interaction analysis identified that a set of ribosomal proteins S27a (40S), L9 (60S), P0, SA, and S3a could serve as potential discriminators between sepsis and healthy subjects. Crucially, Vesicle-associated membrane protein (VAMP) 8, (VAMP)2, Syntaxin-16 and Synaptosomal-associated protein 23 were identified as key candidates with the potential to distinguish sepsis from septic shock. Conclusions: These observed proteomic changes could inform the future biomarker identification for sepsis severity stratification. Importantly, these are preliminary findings from a small sample with limited functional assessments, and their clinical utility requires confirmation in independent, larger cohorts.
Indexed as
Identifiers
What Socratic 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 Socratic graph.