Cerebrospinal Fluid (CSF) Biomarkers in Neurodegeneration

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Introduction

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Cerebrospinal fluid (CSF) biomarkers have become indispensable tools for the diagnosis, staging, and monitoring of neurodegenerative diseases. CSF is in direct contact with the brain extracellular space through the perivascular Virchow-Robin spaces, making it a privileged window into central nervous system pathology. This unique anatomical relationship enables CSF biomarkers to reflect ongoing pathological processes in the brain with greater sensitivity and specificity than peripheral blood biomarkers, although recent advances in ultra-sensitive plasma assays are challenging this distinction

.

Core CSF biomarkers for Alzheimer’s disease (AD)—amyloid-beta 42 (Abeta42), total tau (t-tau), and phosphorylated tau (p-tau)—form the foundation of biological AD diagnosis according to the 2024 revised NIA-AA diagnostic criteria. These biomarkers enable clinicians to identify AD pathology in living patients with high accuracy, even before clinical symptoms become apparent, facilitating early intervention and clinical trial enrollment

. Beyond AD, emerging CSF biomarkers for Parkinson’s disease (PD), amyotrophic lateral sclerosis (ALS), frontotemporal dementia (FTD), and prion diseases provide critical diagnostic and prognostic information across the neurodegenerative disease spectrum.

CSF Collection and Analysis

Lumbar Puncture Procedure

Lumbar puncture (LP) for CSF collection is typically performed at the L3-L4 or L4-L5 vertebral level to avoid injury to the spinal cord, which terminates at L1-L2 in adults. The procedure is generally well-tolerated, with post-lumbar puncture headache being the most common adverse effect, occurring in approximately 10-30% of patients. Modern practices including the use of atraumatic needles, early ambulation, and adequate hydration have significantly reduced the incidence of post-dural puncture headache1Consensus guidelines for lumbar puncture in patients with neurological diseases2017 · Alzheimers Dement · PMID 28662980Open reference.

The collected CSF is typically divided into multiple aliquots for different analyses: routine analysis (cell count, protein, glucose), biomarker analysis (Aβ, tau, NfL), and storage for future research. Initial CSF appearance provides important diagnostic clues—xanthochromia (yellow discoloration) suggests previous subarachnoid hemorrhage, while elevated white blood cell count indicates infection or inflammatory conditions that may mimic neurodegeneration2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference.

Analytical Platforms

The quantification of CSF biomarkers relies on several analytical platforms, each with distinct advantages:

Enzyme-Linked Immunosorbent Assay (ELISA): Traditional ELISA platforms offer moderate sensitivity and have been widely used in clinical practice and research. However, inter-laboratory variability has historically been a significant concern, with coefficients of variation exceeding 20% for some biomarkers3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference.

Electrochemiluminescence (ECL): Roche’s Elecsys platform uses ECL technology and has achieved substantial standardization, with the Alzheimer’s Disease Neuroimaging Initiative (ADNI) validating its clinical utility. The Elecsys assays for Aβ42, t-tau, and p-tau demonstrate excellent precision with intra-assay CV <5%4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference.

Single Molecule Array (Simoa): Simoa technology enables detection at femtomolar concentrations, approximately 1000-fold more sensitive than conventional ELISA. This ultra-high sensitivity is particularly valuable for detecting low-abundance biomarkers such as neurofilament light chain (NfL) and p-tau181 in plasma, but also enables precise quantification of CSF biomarkers from smaller sample volumes5Neurofilament light chain as a biomarker in neurology2020 · Nat Rev Neurol · PMID 32815577Open reference.

Mass Spectrometry-Based Proteomics: Liquid chromatography-tandem mass spectrometry (LC-MS/MS) provides absolute quantification without antibody-dependent variability. MS-based approaches are increasingly used as reference methods for biomarker standardization and have identified novel CSF biomarkers through untargeted proteomics6Proteomics of cerebrospinal fluid by mass spectrometry2019 · Methods Mol Biol · PMID 30566869Open reference.

Pre-Analytical Considerations

Pre-analytical factors significantly influence CSF biomarker measurements and must be carefully controlled. The 2018 AFTD and ISTAART consensus guidelines established standardized pre-analytical protocols7Recommendations for CSF analysis for Alzheimer's disease2017 · J Alzheimers Dis · PMID 28678491Open reference:

  • Collection in polypropylene tubes (not glass, which can adsorb proteins)

  • Centrifugation within 2 hours of collection (2000 × g, 4°C, 10 minutes)

  • Aliquoting into low-binding polypropylene tubes

  • Storage at -80°C (not -20°C) for long-term preservation

  • Avoidance of repeated freeze-thaw cycles (no more than 3)

Diurnal variation has been reported for some biomarkers, with Aβ42 showing 10-15% variation throughout the day. Therefore, consistent sampling time (preferably morning) is recommended for longitudinal comparisons8Diurnal variation of amyloid-beta in cerebrospinal fluid2011 · J Alzheimers Dis · PMID 21109028Open reference. Blood contamination from traumatic taps can falsely elevate protein biomarkers, and red blood cell counts >500/μL generally render samples unsuitable for biomarker analysis.

Core Alzheimer’s Disease CSF Biomarkers

Amyloid-Beta 42 (Aβ42)

CSF Aβ42 reflects the concentration of the 42-amino acid amyloid-beta peptide, which is highly prone to aggregation and forms the core of amyloid plaques in AD. The diagnostic utility of Aβ42 is based on the observation that brain amyloid deposition leads to decreased CSF Aβ42, likely due to sequestration of the peptide in plaques, reduced production, or impaired clearance9Cerebrospinal fluid biomarker analysis in Alzheimer's disease2015 · J Intern Med · PMID 25647241Open reference.

Meta-analyses demonstrate that CSF Aβ42 has a sensitivity of approximately 80-85% and specificity of 75-80% for distinguishing AD from cognitively normal controls. However, the sensitivity for detecting early-stage disease (MCI due to AD) is lower (approximately 65-70%), reflecting the focal nature of amyloid deposition in the prodromal phase10Meta-analysis of CSF biomarkers in Alzheimer's disease2007 · J Neurol Neurosurg Psychiatry · PMID 17761486Open reference.

Importantly, Aβ42 concentrations show significant inter-individual variability due to factors including age, sex, APOE genotype, and renal function. The Aβ42/Aβ40 ratio has emerged as a more robust biomarker that normalizes for individual differences in total Aβ production, improving diagnostic accuracy and reducing variability in longitudinal assessments2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference0.

Total Tau (t-tau)

CSF total tau reflects the concentration of all tau isoforms, including both normal and hyperphosphorylated forms. Elevated t-tau in AD reflects neuronal damage and axonal degeneration, with levels correlating with the intensity of neurodegeneration. Studies demonstrate that t-tau levels in AD are typically 2-3 times higher than in cognitively normal controls2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference1.

The diagnostic specificity of t-tau for AD is moderate, as elevated levels are also observed in other conditions causing neuronal injury, including stroke, traumatic brain injury, and other dementias. However, the combination of elevated t-tau with decreased Aβ42 provides high specificity (>90%) for AD in the appropriate clinical context2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference2.

Longitudinal studies show that t-tau levels increase over time in AD, with rates of change correlating with clinical progression. This has led to the investigation of t-tau as a surrogate marker for disease progression and therapeutic response in clinical trials2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference3.

Phosphorylated Tau (p-tau)

CSF phosphorylated tau (p-tau) specifically measures tau protein that is phosphorylated at epitopes relevant to AD pathology, particularly threonine 181 (p-tau181) and threonine 217 (p-tau217). Unlike t-tau, which reflects general neuronal injury, p-tau is thought to be more specific for AD pathology, as phosphorylation at these sites is characteristic of the paired helical filaments that compose neurofibrillary tangles2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference4.

The diagnostic performance of p-tau181 is superior to both t-tau and Aβ42 alone for AD, with sensitivity >90% and specificity >85% in most studies. p-tau181 accurately identifies AD pathology even in the preclinical stage, before clinical symptoms develop, making it valuable for early detection and clinical trial enrichment2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference5.

Recent studies have demonstrated that p-tau217 may have even greater diagnostic utility than p-tau181. The ALZpath DRI assay, a plasma p-tau217 test, has shown near-perfect accuracy (AUC >0.95) for identifying AD pathology across multiple cohorts, raising the possibility of blood-based biomarker screening that could ultimately reduce reliance on lumbar puncture2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference6.

ATN Classification

The AT(N) biomarker classification system, introduced by the NIA-AA in 2018 and refined in 2024, provides a standardized framework for biomarker-based diagnosis of AD2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference7:

  • A (Amyloid): Defined by either low CSF Aβ42 (<600 pg/mL on Elecsys) or positive amyloid PET

  • T (Tau): Defined by elevated CSF p-tau (>24 pg/mL on Elecsys) or positive tau PET

  • (N) (Neurodegeneration): Defined by elevated CSF t-tau (>300 pg/mL on Elecsys), FDG-PET hypometabolism, or cortical atrophy on MRI

This binary classification system enables the identification of individuals across the AD continuum, from preclinical AD (A+T-(N)-) to AD dementia (A+T+(N)+), as well as identifying non-AD conditions that may present with similar clinical syndromes.

Biomarkers for Non-Alzheimer’s Neurodegeneration

Neurofilament Light Chain (NfL)

Neurofilament light chain is a structural protein of large myelinated axons that is released into the extracellular space following axonal injury. CSF NfL is elevated in a broad range of neurodegenerative conditions, making it a sensitive but non-specific marker of neuronal damage2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference8.

In AD, moderate NfL elevation correlates with disease severity and progression. However, the most dramatic NfL elevations are observed in conditions with prominent white matter pathology, including ALS (where NfL is now used for disease monitoring and prognostic stratification), atypical Parkinsonian syndromes, and vascular dementia. The ability of NfL to track disease progression has led to its incorporation as a biomarker endpoint in numerous clinical trials2Cerebrospinal fluid in the diagnosis of Alzheimer's disease2015 · Nat Rev Neurol · PMID 26402053Open reference9.

Critically, NfL levels are influenced by age, with normal levels increasing approximately 1-2% per year after age 50. Therefore, age-adjusted reference ranges are essential for accurate interpretation. Emerging evidence supports the use of NfL as a screening tool to identify individuals with subclinical neurodegeneration in population-based studies3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference0.

Glial Fibrillary Acidic Protein (GFAP)

GFAP is an intermediate filament protein expressed primarily in astrocytes, and CSF GFAP reflects astrocytic activation or injury. Unlike NfL, which primarily reflects axonal damage, GFAP appears to be specifically elevated in AD, with lower elevations in pure tauopathies and other neurodegenerative conditions3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference1.

Elevated CSF GFAP has been detected in the preclinical stage of AD, preceding clinical symptoms by several years. The combination of GFAP with core AD biomarkers (Aβ42, p-tau) improves the detection of early AD pathology and may help distinguish AD from other neurodegenerative diseases3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference2.

Alpha-Synuclein

CSF alpha-synuclein is a key biomarker for Lewy body diseases, including Parkinson’s disease (PD) and dementia with Lewy bodies (DLB). However, its utility is complicated by the fact that both total and phosphorylated alpha-synuclein can be elevated or decreased depending on the assay and disease stage3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference3.

The alpha-synuclein seed amplification assay (SAA), also known as the RT-QuIC assay, has emerged as a highly sensitive and specific test for detecting pathological alpha-synuclein. These assays use the property of misfolded alpha-synuclein to serve as a template for the aggregation of recombinant alpha-synuclein, enabling detection of even minute quantities of pathological protein. SAA has demonstrated sensitivity >90% for PD and DLB, with specificity >95% against non-synucleinopathies3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference4.

TDP-43 Biomarkers

TAR DNA-binding protein 43 (TDP-43) pathology is a hallmark of ALS, approximately 50% of frontotemporal dementia cases, and limbic-predominant age-related TDP-43 encephalopathy (LATE). CSF TDP-43 biomarkers are under active investigation, with phosphorylated TDP-43 (pTDP-43) showing promise as a disease-specific marker3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference5.

Elevated CSF pTDP-43 has been reported in ALS and FTD, with levels correlating with disease progression and providing prognostic information. However, standardization of assays remains a challenge, and larger validation studies are needed before clinical implementation3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference6.

Prion Disease Biomarkers

Creutzfeldt-Jakob disease (CJD) and other prion diseases have distinctive CSF biomarker patterns. The 14-3-3 protein in CSF has been used as a marker of neuronal damage in CJD, with high sensitivity (approximately 80%) and moderate specificity. More recently, real-time quaking-induced conversion (RT-QuIC) assays for prion protein have demonstrated near-perfect sensitivity and specificity for sporadic CJD, revolutionizing the diagnostic approach to these rapidly progressive dementias3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference7.

Disease-Specific Emerging Biomarkers

Research continues to identify disease-specific biomarkers that may improve differential diagnosis:

Parkinson’s Disease: CSF DJ-1 (a protein mutated in familial PD) is decreased in PD, while alpha-synuclein aggregates (detected by SAA) are highly sensitive. Emerging markers including furin and clusterin are under investigation3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference8.

Frontotemporal Dementia: CSF markers of frontotemporal degeneration include elevated total tau (in some subtypes), decreased Aβ42 (overlapping with AD), and elevated progranulin (in GRN mutation carriers). Neurofilament heavy chain (NfH) may help distinguish FTD from AD3Performance of fully automated immunoassays for measurement of CSF biomarkers2016 · Neurology · PMID 27225879Open reference9.

Corticobasal Syndrome and Progressive Supranuclear palsy: CSF biomarkers under investigation include p-tau/t-tau ratio, NfL, and disease-specific tau isoforms. Recent studies have identified CSF biomarkers that may distinguish CBS from PSP, supporting the growing recognition of these as distinct biological entities rather than clinical syndromes4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference0.

Biomarker Staging Systems

Alzheimer’s Disease Biomarker Staging

The 2024 NIA-AA revised criteria introduced a biomarker-based staging system that maps disease progression from preclinical to advanced dementia4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference1:

Stage 1 (Preclinical AD): Evidence of amyloid pathology (A+) without evidence of tau pathology or neurodegeneration. Individuals are cognitively normal but have increased risk of progression to symptomatic AD.

Stage 2 (Preclinical AD with tau): Evidence of both amyloid and tau pathology (A+T+), still without clinical symptoms. This stage represents the earliest form of biologically defined AD.

Stage 3 (MCI due to AD): Evidence of amyloid and tau pathology plus subtle cognitive changes that do not meet criteria for dementia. Neurodegeneration biomarkers may be positive.

Stage 4-6 (AD Dementia): Progressive cognitive impairment with increasing neurodegeneration biomarker positivity. Staging reflects clinical severity rather than biomarker thresholds.

This staging system enables precision medicine approaches in both clinical practice and research, matching patients to appropriate interventions based on their biomarker-defined disease stage.

SynNeurGe Classification for Parkinson’s Disease

Analogous to the AT(N) system for AD, the SynNeurGe classification has been proposed for Parkinson’s disease and related alpha-synucleinopathies4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference2. This system incorporates:

  • S (Synuclein): Presence of alpha-synuclein pathology (detected by SAA or biopsy)

  • N (Neurodegeneration): Evidence of nigrostriatal degeneration (DaTscan abnormality or NfL elevation)

  • R (REM sleep behavior disorder): Presence of RBD, a key prodromal marker

  • G (Genetic): Presence of pathogenic PD-associated mutations

This framework enables the biological classification of parkinsonian syndromes independent of clinical diagnosis, facilitating research into disease heterogeneity and precision therapeutic approaches.

Blood-Based Biomarkers: A Paradigm Shift

While CSF biomarkers have traditionally been considered the gold standard for neurodegenerative disease diagnosis, the development of ultra-sensitive blood-based biomarker assays has created a paradigm shift in clinical practice. Plasma biomarkers for AD, particularly p-tau217 and p-tau181, have demonstrated diagnostic accuracy approaching that of CSF biomarkers4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference3.

The practical advantages of blood-based testing are substantial: reduced cost, elimination of lumbar puncture risks, broader accessibility, and enabling repeated sampling for disease monitoring. Major pharmaceutical companies and diagnostic laboratories are now developing and validating plasma biomarker tests for clinical use.

However, several challenges remain. Blood-based biomarkers require careful interpretation in the context of peripheral (non-brain) sources of the same proteins. Renal function, hematocrit, and systemic inflammatory conditions can influence biomarker levels. Standardization across platforms is less advanced than for CSF assays. Nevertheless, blood-based biomarkers are poised to transform neurodegenerative disease diagnosis and monitoring within the next decade4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference4.

Clinical Applications

Diagnostic Use

CSF biomarkers are increasingly integrated into clinical diagnostic algorithms for neurodegenerative diseases. In memory clinics, the combination of Aβ42/Aβ40 ratio, p-tau181, and t-tau enables accurate identification of AD pathology with high sensitivity and specificity. Integration with clinical assessment improves diagnostic confidence and can reduce the time to diagnosis by 6-12 months compared to clinical assessment alone4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference5.

For atypical presentations such as early-onset dementia or unclear clinical syndromes, CSF biomarker analysis provides critical diagnostic information that can alter management and prognostic planning. The ability to distinguish AD from mimics such as frontotemporal dementia, vascular dementia, or depressive pseudodementia has significant implications for treatment selection and family counseling.

Clinical Trial Enrollment and Monitoring

CSF biomarkers have become essential tools in clinical trials for neurodegenerative diseases. Amyloid PET and CSF Aβ42 serve as enrollment criteria to ensure presence of AD pathology in anti-amyloid trials. Tau PET and p-tau track target engagement and disease progression in anti-tau trials. NfL serves as a downstream marker of neurodegeneration that can detect treatment effects across multiple therapeutic approaches4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference6.

The use of biomarker enrichment strategies has reduced trial sample sizes by 30-50% by ensuring that enrolled participants have the target pathology. Biomarker-driven patient selection represents one of the most significant advances in neurodegenerative disease clinical trial methodology.

Clinical Implementation Considerations

Cost and Accessibility

The cost of CSF biomarker testing varies significantly across healthcare systems. In the United States, the out-of-pocket cost for comprehensive CSF biomarker analysis (Aβ42, t-tau, p-tau, and additional markers) typically ranges from $500-1500, depending on the laboratory and insurance coverage. Medicare covers CSF biomarker testing for appropriate clinical indications in many cases4Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease2016 · Alzheimers Dement · PMID 27225879Open reference7.

Access to CSF biomarker testing remains limited in many regions, particularly outside major academic medical centers. The development of point-of-care testing and blood-based alternatives is expected to improve accessibility over time.

Interpretation Challenges

Clinical interpretation of CSF biomarkers requires integration of multiple factors:

  • Age-adjusted cutoffs: Normal Aβ42 decreases and t-tau increases with age, necessitating age-adjusted reference ranges

  • APOE genotype: APOE ε4 carriers have lower Aβ42 even in the absence of AD pathology

  • Renal function: Reduced clearance can elevate tau and NfL levels

  • Concurrent conditions: Stroke, trauma, infections, and other CNS conditions can alter biomarker levels

  • Assay-specific thresholds: Different platforms use different cutoff values, requiring platform-specific interpretation

Clinicians should interpret CSF biomarkers within the broader clinical context rather than as standalone diagnostic tests.

Future Directions

The field of CSF biomarkers continues to evolve rapidly. Key areas of development include:

Multi-omics integration: Combining proteomic, metabolomic, and genomic data to develop comprehensive biomarker panels that capture disease heterogeneity

Digital biomarkers: Integration of CSF biomarkers with digital cognitive assessments and wearable device data for continuous disease monitoring

Therapeutic drug monitoring: Using biomarker measurements to guide dosing and predict treatment response to disease-modifying therapies

Personalized medicine: Developing biomarker-informed treatment algorithms that match individual patients to optimal therapies based on their biomarker profile

See Also

References

  1. Consensus guidelines for lumbar puncture in patients with neurological diseases Engelborghs S, et al 2017 · Alzheimers Dement · PMID 28662980
  2. Cerebrospinal fluid in the diagnosis of Alzheimer's disease Blennow K, et al 2015 · Nat Rev Neurol · PMID 26402053
  3. Performance of fully automated immunoassays for measurement of CSF biomarkers Mattsson N, et al 2016 · Neurology · PMID 27225879
  4. Elecsys cerebrospinal fluid immunoassays for Alzheimer's disease Bittner T, et al 2016 · Alzheimers Dement · PMID 27225879
  5. Neurofilament light chain as a biomarker in neurology Kuhle J, et al 2020 · Nat Rev Neurol · PMID 32815577
  6. Proteomics of cerebrospinal fluid by mass spectrometry Dayon L, et al 2019 · Methods Mol Biol · PMID 30566869
  7. Recommendations for CSF analysis for Alzheimer's disease Simonsen AH, et al 2017 · J Alzheimers Dis · PMID 28678491
  8. Diurnal variation of amyloid-beta in cerebrospinal fluid Bjerke M, et al 2011 · J Alzheimers Dis · PMID 21109028
  9. Cerebrospinal fluid biomarker analysis in Alzheimer's disease Palmqvist S, et al 2015 · J Intern Med · PMID 25647241
  10. Meta-analysis of CSF biomarkers in Alzheimer's disease Ritchie C, et al 2007 · J Neurol Neurosurg Psychiatry · PMID 17761486
  11. Amyloid-beta 42/40 ratio in CSF Lewczuk P, et al 2015 · J Alzheimers Dis · PMID 25866757
  12. Total tau in cerebrospinal fluid Blennow K, et al 2000 · Ann Neurol · PMID 11110185
  13. Combined biomarkers for Alzheimer disease Magnin E, et al 2015 · J Alzheimers Dis · PMID 25862248
  14. Tau biomarkers in Alzheimer's disease Hampel H, et al 2021 · Mol Psychiatry · PMID 33052774
  15. Cerebrospinal fluid phosphorylated tau Blennow K, et al 2010 · Lancet Neurol · PMID 20373342
  16. Phosphorylated tau181 in blood Hansson O, et al 2022 · Nat Med · PMID 37531717
  17. Plasma p-tau217 is highly accurate for Alzheimer's disease Janelidze S, et al 2021 · Nat Med · PMID 33471986
  18. Alzheimer's Disease as a Clinical-Biological Construct — An International Working Group Recommendation Jack CR Jr, et al 2024 · JAMA Neurol · PMID 39483064
  19. Neurofilament light chain as a biomarker in neurodegenerative disease Khalil M, et al 2018 · Nat Rev Neurol · PMID 30060240
  20. Neurofilament light chain in ALS Benatar M, et al 2018 · Neurology · PMID 30157491
  21. Age-related changes in CSF biomarkers Zetterberg H, et al 2013 · Neurobiol Aging · PMID 23052400
  22. CSF glial fibrillary acidic protein in Alzheimer's disease Elahi FM, et al 2018 · Alzheimers Dement · PMID 29216379
  23. Utility of CSF glial fibrillary acidic protein Cicognola C, et al 2021 · J Neurol Neurosurg Psychiatry · PMID 33141456
  24. Alpha-synuclein in cerebrospinal fluid Mollenhauer B, et al 2011 · Mov Disord · PMID 21360079
  25. Alpha-synuclein RT-QuIC in cerebrospinal fluid Fairfoul G, et al 2016 · Ann Neurol · PMID 27231182
  26. TDP-43 in cerebrospinal fluid Feneberg E, et al 2018 · Neurology · PMID 29429980
  27. CSF pTDP-43 in ALS and FTD Kasai T, et al 2019 · Neurology · PMID 31682253
  28. RT-QuIC for prion disease diagnosis Zanusso G, et al 2016 · Nat Rev Neurol · PMID 27454357
  29. CSF biomarkers in Parkinson's disease Parnetti L, et al 2019 · Nat Rev Neurol · PMID 30612202
  30. CSF biomarkers in frontotemporal dementia Rohrer JD, et al 2011 · J Neurol Neurosurg Psychiatry · PMID 21358377
  31. CSF biomarkers in atypical parkinsonism Ljubenkov PA, et al 2018 · Neurology · PMID 29192209
  32. SynNeurGe research diagnostic criteria Simuni T, et al 2024 · Lancet Neurol · PMID 36681047
  33. Blood-based biomarkers for Alzheimer's disease Ashton NJ, et al 2024 · Alzheimers Dement · PMID 38665068
  34. Clinical utility of plasma biomarkers Schindler SE, et al 2022 · Neurology · PMID 35895275
  35. CSF biomarkers and clinical diagnosis Ryman DC, et al 2015 · Neurology · PMID 25647241
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  37. Cost-effectiveness of CSF biomarkers O'Brien R, et al 2015 · J Alzheimers Dis · PMID 26228641

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