# Pediatric infection-triggered encephalopathy syndromes: a multidimensional biomarker analysis

**Authors:** Caihui Ma, Shuowen Wang, Zhijie Gao, Zijun Wang, Hui Jiao, Yizhi Zhang, Shuo Miao, Zhao Liu, Jianzhao Zhang

PMC · DOI: 10.3389/fneur.2026.1730057 · Frontiers in Neurology · 2026-03-18

## TL;DR

This study identifies potential biomarkers in children with infection-triggered encephalopathy syndromes to aid early diagnosis and improve outcomes.

## Contribution

The study introduces a multidimensional biomarker panel from urine, plasma, and cerebrospinal fluid for pediatric infection-triggered encephalopathy syndromes.

## Key findings

- 13 urinary metabolites with high diagnostic potential were identified, including 3-hydroxybutyrate and fucose.
- Elevated cerebrospinal fluid levels of interleukin-6 and interleukin-8 were found in affected children.
- Clinical differences in Modified Rankin Scale scores, fever, seizures, and consciousness were observed between groups.

## Abstract

Pediatric infection-triggered encephalopathy syndromes (ITES) cause severe neurologic and cognitive deficits, but reliable biomarkers for early diagnosis and improved outcomes are lacking.

This retrospective study analyzed the clinical characteristics and laboratory data from 48 children with infection-triggered encephalopathy syndromes, using a case–control design. Ultra-high-performance liquid chromatography–tandem mass spectrometry, the Luminex xMAP® multiplex assay system, the Cobas® 8,000 analyzer, and immunoturbidimetry were utilized to measure blood and urine metabolites, cerebrospinal fluid and plasma cytokines, and cerebrospinal fluid biomarkers and proteins.

Initial urinary metabolomic profiling identified 56 differentially abundant metabolites in the infection-triggered encephalopathy syndromes group (50 upregulated, 6 downregulated). Partial least-squares discriminant analysis highlighted 13 metabolites with variable importance in projection scores >1, 12 of which may serve as candidate biomarkers (area under the curve > 0.75; e.g., 3-hydroxybutyrate, fucose). Random Forest modeling prioritized five urinary metabolites: stearate, malate, glucose1, glucose2, and fucose. Similarly, five metabolites, such as C4OH, C14OH(CIL), C18:1OH, C10:2(CIL), and C5DC(CIL)/C16, may serve as potential biomarkers (AUC > 0.75). Cerebrospinal fluid analysis showed elevated interleukin-6 and interleukin-8 levels in the infection-triggered encephalopathy syndromes group (area under the curve > 0.75 each). Clinically, there were significant differences between the ITES group and the control group in terms of Modified Rankin Scale scores, infection status, fever, seizures, and altered consciousness (all p < 0.05).

This study identifies a panel of urinary, plasma, and cerebrospinal fluid biomarkers, which provide a thorough molecular profile of infection-triggered encephalopathy syndromes in children. These findings provide a direction for future research on mechanistic studies, early identification, and risk classification.

## Linked entities

- **Proteins:** IL6 (interleukin 6), IL8L1 (interleukin 8-like 1)
- **Chemicals:** 3-hydroxybutyrate (PubChem CID 92135), fucose (PubChem CID 17106), stearate (PubChem CID 5281), malate (PubChem CID 525)

## Full-text entities

- **Genes:** CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 3576] {aka GCP-1, GCP1, IL8, LECT, LUCT, LYNAP}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}
- **Diseases:** encephalopathy (MESH:D001927), fever (MESH:D005334), neurologic and cognitive deficits (MESH:D009461), seizures (MESH:D012640), altered consciousness (MESH:D003244), infection (MESH:D007239)
- **Chemicals:** malate (MESH:C030298), C10:2 (-), 3-hydroxybutyrate (MESH:D020155), fucose (MESH:D005643), CIL (MESH:D011345), stearate (MESH:D013228)

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13038577/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC13038577/full.md

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Source: https://tomesphere.com/paper/PMC13038577