ArticleNature communications2014
Identification of a human neonatal immune-metabolic network associated with bacterial infection.
Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.
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
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Who cites it
89 citing papers in PubMed, 143 citations in OpenAlex.
- Optimization of pediatric dosing regimens for aztreonam and amoxicillin/clavulanate combination therapy against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Systems biology approaches to unravelling neonatal sepsis and potential for precision diagnostics and therapeutics.Frontiers in pharmacology · 2026Review
- Shared immune biomarkers in necrotizing enterocolitis and neonatal sepsis identified via bioinformatics and machine learning.Scientific reports · 2025Article
- Article
- Age-related stress gene expression in neonatal sepsis involves regulatory networks and immune cell infiltration.Scientific reports · 2025Article
- A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.Nature communications · 2025Article
- Heterogeneity of Neutrophils and Immunological Function in Neonatal Sepsis: Analysis of Molecular Subtypes Based on Hypoxia-Glycolysis-Lactylation.Mediators of inflammation · 2025Article
- Inhibitory leukocyte immunoglobulin-like receptors, subfamily B (LILRBs) in human diseases: structure, roles, mechanisms, and clinical applications.Theranostics · 2025Review
- Early life microbiome disbalance impacts neuroendocrine outcomes in pre-pubertal mice in a sexually dimorphic manner.Frontiers in microbiology · 2025Article
- Transcriptomic mortality signature defines high-risk neonatal sepsis endotype.Frontiers in immunology · 2025Article
- Putative mRNA Biomarkers for the Eradication of Infection in an Equine Experimental Model of Septic Arthritis.Veterinary sciences · 2024Article
- Conventional and unconventional T-cell responses contribute to the prediction of clinical outcome and causative bacterial pathogen in sepsis patients.Clinical and experimental immunology · 2024Article
- Identifying immune signatures of sepsis to increase diagnostic accuracy in very preterm babies.Nature communications · 2024Article
- Transcriptional markers classifying Escherichia coli and Staphylococcus aureus induced sepsis in adults: A data-driven approach.PloS one · 2024Article
- New Insights in Immunometabolism in Neonatal Monocytes and Macrophages in Health and Disease.International journal of molecular sciences · 2023Review
- Biomarkers of Neonatal Sepsis: Where We Are and Where We Are Going.Antibiotics (Basel, Switzerland) · 2023Review
- Article
- Effects of Sepsis on Immune Response, Microbiome and Oxidative Metabolism in Preterm Infants.Children (Basel, Switzerland) · 2023Review
- Novel Host Response-Based Diagnostics to Differentiate the Etiology of Fever in Patients Presenting to the Emergency Department.Diagnostics (Basel, Switzerland) · 2023Article
- Identification and verification of feature biomarkers associated with immune cells in neonatal sepsis.European journal of medical research · 2023Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
Abstract
Understanding how human neonates respond to infection remains incomplete. Here, a system-level investigation of neonatal systemic responses to infection shows a surprisingly strong but unbalanced homeostatic immune response; developing an elevated set-point of myeloid regulatory signalling and sugar-lipid metabolism with concomitant inhibition of lymphoid responses. Innate immune-negative feedback opposes innate immune activation while suppression of T-cell co-stimulation is coincident with selective upregulation of CD85 co-inhibitory pathways. By deriving modules of co-expressed RNAs, we identify a limited set of networks associated with bacterial infection that exhibit high levels of inter-patient variability. Whereas, by integrating immune and metabolic pathways, we infer a patient-invariant 52-gene-classifier that predicts bacterial infection with high accuracy using a new independent patient population. This is further shown to have predictive value in identifying infection in suspected cases with blood culture-negative tests. Our results lay the foundation for future translation of host pathways in advancing diagnostic, prognostic and therapeutic strategies for neonatal sepsis.
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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.