# Cerebrospinal Fluid Biomarkers in Creutzfeldt–Jakob Disease: Diagnostic Value, Limitations, and Future Multi-Omics Strategies

**Authors:** Rui Xu, Cao Chen, Qi Shi, Xiao-Ping Dong

PMC · DOI: 10.3390/ijms27010553 · International Journal of Molecular Sciences · 2026-01-05

## TL;DR

This paper reviews cerebrospinal fluid biomarkers for diagnosing and monitoring Creutzfeldt–Jakob disease, highlighting their strengths, limitations, and future multi-omics strategies.

## Contribution

The paper proposes a novel three-tier biomarker framework integrating RT-QuIC, injury-severity indicators, and multi-omics signatures for improved diagnosis and prognosis.

## Key findings

- CSF biomarkers like 14-3-3 and RT-QuIC have variable sensitivity and specificity for diagnosing CJD.
- Assay variability and inter-laboratory inconsistencies limit current biomarker reliability.
- A three-tier framework combining RT-QuIC, tau/NfL/pNFH, and multi-omics signatures is proposed for early detection and prognosis.

## Abstract

Creutzfeldt–Jakob disease (CJD) is a rare but devastating neurodegenerative disorder characterized by the pathological misfolding of the cellular prion protein (PrPC) into the pathogenic isoform-scrapie prion protein (PrPSc), ultimately leading to fatal outcomes. Cerebrospinal fluid (CSF) biomarkers play a pivotal role in early diagnosis, longitudinal monitoring, and prognostic assessment, thereby enhancing the clinical management of this challenging disease. This review summarizes the established CSF biomarkers, 14-3-3 protein, tau protein (total tau), phosphorylated tau isoforms, α-synuclein, neurofilament light chain (Nfl), S100B, neuron-specific enolase (NSE), and phosphorylated neurofilament heavy chain (pNFH), highlighting typical sensitivity ranges (14-3-3 ~70–85%; RT-QuIC > 90%) and subtype-dependent performance variation. We further dissect limitations related to assay variability, inter-laboratory cut-off inconsistencies, and reduced specificity in non-prion dementias. Looking ahead, we discuss emerging multi-omics discovery, integration of CSF with blood-based biomarkers and imaging signatures, and AI-enabled diagnostic modeling. We propose a three-tier biomarker framework combining Real-Time Quaking-Induced Conversion (RT-QuIC) as a confirmatory assay, tau/NfL/pNFH as injury-severity indicators, and multi-omics-derived signatures for early detection and prognosis stratification.

## Linked entities

- **Proteins:** PRNP (prion protein (Kanno blood group)), Prnp (prion protein), S100B (S100 calcium binding protein B)
- **Diseases:** Creutzfeldt–Jakob disease (MONDO:0005357)

## Full-text entities

- **Genes:** ENO2 (enolase 2) [NCBI Gene 2026] {aka HEL-S-279, NSE}, S100B (S100 calcium binding protein B) [NCBI Gene 6285] {aka NEF, S100, S100-B, S100beta}, NEFL (neurofilament light chain) [NCBI Gene 4747] {aka CMT1F, CMT2E, CMTDIG, NF-L, NF68, NFL}, PRNP (prion protein (Kanno blood group)) [NCBI Gene 5621] {aka ASCR, AltPrP, CD230, CJD, GSS, KURU}, MAPT (microtubule associated protein tau) [NCBI Gene 4137] {aka DDPAC, FTD1, FTDP-17, MAPTL, MSTD, MTBT1}, SNCA (synuclein alpha) [NCBI Gene 6622] {aka NACP, PARK1, PARK4, PD1}, YWHAQ (tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein theta) [NCBI Gene 10971] {aka 14-3-3, 1C5, HS1}
- **Diseases:** neurodegenerative disorder (MESH:D019636), prion (MESH:D017096), scrapie (MESH:D012608), CJD (MESH:D007562), dementias (MESH:D003704)

## Full text

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## Figures

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## References

63 references — full list in the complete paper: https://tomesphere.com/paper/PMC12786746/full.md

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Source: https://tomesphere.com/paper/PMC12786746