From Brain to Blood: How Ultra-Low Abundance Biomarkers Are Revolutionizing Neurodegenerative Disease Research

Topic/Product:
Alzheimer's, Neurology
Disease Area:
Sample Type:

By: Geoffrey Feld, Ph.D.
Geocyte LLC & Alamar Biosciences collaborator 

A Numbers Game: 217, 4, and 50

When it comes to detecting circulating biomarkers for neurodegenerative diseases, consider the numbers: 217, 4, and 50.

217 refers to p-Tau217, a tau protein phosphorylated at threonine 217 that closely tracks with amyloid pathology in Alzheimer’s disease (AD). Measuring this biomarker in biofluids, including cerebrospinal fluid (CSF) and blood, marks a convenient shift from relying on costly and limited-access tau PET imaging.

However, the concentration of p-Tau217 in CSF is typically around 4 picograms per milliliter (pg/ml)—already near the lower detection limit of standard ELISA-based assays (Triana-Baltzer, 2020). In plasma, the concentration drops even further—50 times lower than in CSF (Triana-Baltzer, 2021). Detecting such ultra-low levels in blood requires technologies sensitive enough to measure femtograms per milliliter (fg/ml). Moreover, increasing evidence suggests that assays specific for brain-derived tau isoforms are necessary to distinguish the CNS and peripheral origins of p-tau. Clearly, more advanced and multiplexed detection methods are essential to make biofluid-based biomarker testing a practical reality in neurodegenerative disease research and care.

The Case for Blood-Based Proteomics in AD

AD and other neurodegenerative diseases are typically diagnosed through clinical symptoms and neuroimaging. However, overlapping phenotypes across dementias and the high cost of PET scans have driven demand for fluid-based biomarkers that can more accurately and affordably distinguish AD from other cognitive impairments caused by different pathologies (Schumacher-Schuh, 2022).

Surrogate biomarkers for plaque formation—such as phosphorylated tau (p-Tau217, p-Tau181, p-Tau231) and amyloid beta (Aß40, Aß42)—can be measured in CSF. But CSF extraction is an invasive procedure. Plasma and serum, routinely collected in clinical settings, represent ideal sample types for early detection, disease monitoring, and assessing response to therapy. Furthermore, advances in dried blood spot technologies are enabling community-based screening and at-home collection—long considered the holy grail for AD diagnostics.

Brain-Derived p-Tau Targets: A New Era in Multiplexing

While tau and its hyperphosphorylated forms are promising markers of neurodegeneration, tau proteins are expressed outside the brain in the peripheral nervous system. As such, teasing out the source of tau may be necessary for accurate disease diagnoses. Brain-derived (BD) tau isoforms lack an exon 4a insert, making them shorter (Gonzalez-Ortiz, 2024), and are often referred to as low-molecular-weight tau. Most assays utilize antibodies targeting the N-terminal epitope, which detect both peripheral and brain-derived tau without differentiating between the tissue sources (see Figure 1).

Alamar has developed a suite of antibodies that specifically bind to low-molecular-weight p-Tau isoforms, including totalTau-BD, p-Tau217-BD, p-Tau231-BD, and p-Tau181-BD. These four BD-tau isoforms are now included in the NULISAseq CNS Disease Panel 120, enabling researchers to measure the CNS-derived levels of p-Tau more accurately.

BD-total tau has emerged as a powerful marker for amyloid-associated neurodegeneration in AD (Gonzalez-Ortiz, 2024). As the only product on the market that includes BD-total tau and the three primary brain-derived phosphorylated tau isoforms, the NULISAseq CNS Disease Panel 120 presents researchers with a unique toolset to explore neurodegenerative biology. Read about the first unpublished results of the assays from neuroscientists Jonathan Schott at University College London, Henrik Zetterberg at University of Gothenburg, and Gil Rabinovici at UCSF in this recent Alzforum news article.

Figure 2: Clinical research assessing hypothetical plasma-based biomarkers for AD progression using the NULISAseq CNS Disease Panel 120 (adapted from Leuzy, 2022).

Beyond p-Tau: Biomarkers of Inflammatory, Vascular, and Synaptic Function

The value of multiplexing a curated menu of CNS targets is increasingly evident. A team led by Thomas Karikari at the University of Pittsburgh identified novel circulating biomarkers linked to AD in mostly cognitively unimpaired participants, many of which were previously only detectable in CSF (Zeng, 2024). Derived from biological pathways that describe inflammatory, glial, vascular, and synaptic function, these plasma markers can distinguish individuals with underlying neurodegeneration,   PET, and Tau PET pathology. Notably, several proteins tracked longitudinally, meaning they showed opposing trends over time among individuals who were either positive or negative for each pathology. Unique biomarkers capable of distinguishing disease and tracking progression open the door to diagnostic tools and novel therapies that address the underlying biology.

Neurodegenerative diseases often present with co-pathologies, such as cognitive decline in dementias and motor dysfunction in amyotrophic lateral sclerosis (ALS), Parkinson’s, and other rare disorders. While neurofilament light chain (NfL) is considered a nonspecific marker of neurodegeneration, its circulating levels correlate with the intensity of neurodegeneration (Leuzy, 2022). Elevated plasma NfL may indicate faster disease progression, making it a valuable addition to any CNS-focused biomarker panel.

Neuroinflammation is both a cause and consequence of neurodegeneration. Inflammatory markers can help differentiate diseases and assess immune-modulating therapies. For example, increased CSF cytokines have been observed in PD and ALS (Ashton, 2020; Zelic, 2025), while elevated circulating glial fibrillary acidic protein (GFAP) levels indicate astrogliosis and may help distinguish AD from frontotemporal dementia (Gezegen, 2025; Oeckl, 2019).

The plasma and serum abundances of neurodegenerative and neuroinflammatory proteins cover a wide dynamic range and require ultra-sensitive detection methods. An ideal tool should offer high sensitivity, broad dynamic range, high precision through automation, and multiplexing of curated CNS-specific targets (see Figure 2).

Figure 1: (A) Brain-derived (BD) and (B) peripheral (N-terminal) tau protein isoforms included in the NULISAseq CNS Disease Panel 120. Adapted from (Gonzalez-Ortiz, 2023).

Automation Meets Ultra-Sensitivity

Working with innovative and pioneering leaders in neurodegenerative research, Alamar is pushing the boundaries of biofluid proteomics. The NULISA platform delivers best-in-class attomolar sensitivity (Feng, 2023) and now includes brain-specific tau isoforms that complement the existing N-terminal tau measurements that are creating headlines. Paired with the NULISAseq Inflammation Panel 250, researchers can investigate over 370 curated targets, fully automated on the ARGO HT System—eliminating inter-operator variability and reducing hands-on time.

This level of automation, sensitivity, and multiplexing is essential for detecting subtle, progressive, and disease-relevant changes in protein levels. By combining simplicity and sensitivity with multiplexing, NULISA empowers researchers to uncover previously inaccessible diagnostic and prognostic biomarkers from routine blood samples, addressing a critical need in the treatment of neurodegenerative disorders.

Whether you’re investigating disease progression, therapeutic response, or differential diagnosis, NULISA’s curated panels and turnkey automation can accelerate CNS therapy development. Explore the individual panel lists to see how NULISA can help you decipher the biology behind neurodegeneration.

 

REFERENCES

Ashton et al. Nat Rev Neurol. (2020) An update on blood-based biomarkers for non-Alzheimer neurodegenerative disorders. 16: 265–284.

Ashton et al. Alzheimers Dement. (2025) The Alzheimer’s Association Global Biomarker Standardization Consortium (GBSC) plasma phosphor-tau Round Robin study. 21(2): e14508.

Feng et al. Nat Commun. (2023) NULISA: a proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing. 14: 7238.

Gezegen et al. Alzheimers Dement. (2025) Unravelling the plasma proteome: Pioneering biomarkers for differential dementia diagnosis. 21: e70162.

Gonzalez-Ortiz et al. Nat Commun. (2024) Plasma brain-derived tau is an amyloid-associated neurodegeneration biomarker in Alzheimer’s disease. 15: 2908.

Gonzalez-Ortiz et al. Brain. (2023) Brain-derived tau: a novel blood-based biomarker for Alzheimer’s disease-type neurodegeneration. 146(3): 1152–1165.

Leuzy et al. EMBO Mol Med. (2022) Blood-based biomarkers for Alzheimer’s disease. 14: e14408.

Miller et al. N Engl J Med. (2022) Trial of Antisense Oligonucleotide Tofersen for SOD1 ALS. 387: 1099-1110.

Oeckl et al. J Alzheimers Dis. (2019) Glial Fibrillary Acidic Protein in Serum is Increased in Alzheimer’s Disease and Correlates with Cognitive Impairment. 67: 481–488.

Schumacher-Schuh et al. Front Neurol. (2022) Advances in proteomic and metabolomic profiling of neurodegenerative diseases. 12: 792227.

Triana-Baltzer et al. J Alzheimers Dis. (2020) Development and validation of a high-sensitivity assay for measuring p217+tau in cerebrospinal fluid. 77: 1417–1430.

Triana-Baltzer et al. Alzheimers Dement. (2021) Development and validation of a high-sensitivity assay for measuring p217+tau in plasma. 13: e12204.

Zelic et al. Immunity. (2025) Single-cell transcriptomic and functional studies identify glial state changes and a role for neuroinflammatory RIPK1 signaling in ALS pathogenesis. 58(4): 961–979.e8.

Zeng et al. Mol. Neurodegener. (2024) Multi-analyte proteomic analysis identifies blood-based neuroinflammation, cerebrovascular, and synaptic biomarkers in preclinical Alzheimer’s disease. 10(19):68.

Steve Williams, MD, PhD

CSO

Dr. Willams serves as the company’s Chief Scientific Officer. He was previously Chief Medical Officer at Standard Biotools and at SomaLogic where he pioneered the discipline for discovery and validation of predictive, diagnostic and prognostic models using machine-learning applied to large-plex proteomics. 20 such tests were used for drug characterization, safety and efficacy when incorporated in clinical drug trials at Pharma/Biotech and 17 different multivariate tests were validated and translated into regulated healthcare uses. Prior to SomaLogic, Dr. Williams was at Pfizer in the UK and the USA as a clinical triallist in Translational Medicine, and subsequently as VP, Global Clinical Technology. He sat on the National Advisory Council for the National Institute of Biomedical Imaging and Bioengineering, the Executive Committee for the FNIH Biomarkers Consortium, and worked with FDA and PhRMA on developing evidentiary standards for biomarker qualification. Dr. William’s medical training was in London, at Charing Cross and Westminster Medical School, followed by a PhD in medicine/physiology at the same institution and training in Radiology at the University of Newcastle Upon Tyne. Steve is co-inventor on 26 proteomics patents and author/coauthor on multiple foundational proteomics manuscripts.

Justin McAnear

CFO

Mr. McAnear serves as the company’s Chief Financial Officer. He brings over 25 years of operational and financial leadership experience across various sectors and was instrumental in taking 10x Genomics public in 2019, serving as its CFO for over five years. Mr. McAnear served for over 3 years as Tesla’s VP of Worldwide Finance and Operations, supporting landmark initiatives such as the Model X and Model 3 launches and Solar City acquisition.  He also held various roles at Apple and J&J earlier in his career and served as a naval officer and aviator for over 9 years.