MétaCan
Menu
Back to cohort
Record W4416233831 · doi:10.3389/fnins.2025.1714196

Phosphoproteomics-guided tau biomarker discovery in amyotrophic lateral sclerosis (ALS) and Alzheimer's disease (AD)

2025· article· en· W4416233831 on OpenAlexafffund
Nitesh Sanghai, Amir Barzegar Behrooz, Hamid Latifi‐Navid, Javad Fahanik‐Babaei, Geoffrey K. Tranmer

Bibliographic record

VenueFrontiers in Neuroscience · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchResearch Manitoba
KeywordsAmyotrophic lateral sclerosisBiomarkerPhosphoproteomicsBiomarker discoveryDiseasePhosphorylationTau proteinNeurodegeneration

Abstract

fetched live from OpenAlex

suggests that tau phosphorylation is not only an AD signature but may represent a broader pathological axis across multiple NDDs [6]. The advent of phosphoproteomics has transformed our ability to map disease-relevant phosphorylation sites with unprecedented resolution. By illuminating aberrant signaling cascades, phosphoproteomics provides powerful opportunities for biomarker discovery and therapeutic targeting [7]. Herein, in this opinion, we discuss how phosphoproteomicsguided analysis of tau phosphorylation is redefining biomarker strategies in both AD and ALS, bridging two diseases once considered molecularly distinct.Phosphorylated tau species, particularly p-tau217 and p-tau 181, have emerged as robust diagnostic biomarkers in Alzheimer's disease (AD) [8]. Importantly, these phosphorylated tau variants were identified in muscle biopsies from ALS patients and localized to atrophic fibers using immunohistochemistry and mass spectrometry techniques. This peripheral source of p-tau challenges the CNS-centric perspective of tau pathology and raises intriguing questions about common phosphorylation mechanisms in both the central and peripheral nervous systems [5].Phosphorylated tau has recently been identified as a unifying biomarker axis in AD and ALS, two conditions previously regarded as molecularly distinct. In AD, plasma p-tau 217 and p-tau 181 exhibit superior diagnostic accuracy relative to other biomarkers, with ptau 217 increasing early in the disease and demonstrating a robust correlation with amyloid deposition [5,9]. Furthermore, incorporating plasma neurofilament light chain (NfL) ratios, a marker of neuroaxonal damage, enhances the test's specificity, as demonstrated in large clinical groups, thereby reducing the need for invasive CSF testing [10]. Interestingly, concurrent advancements in ALS suggest that increased serum levels of p-tau 217 and p-tau 181 are associated with enhanced motor neuron dysfunction, increased clinical severity, and lower motor neuron (LMN)-dominant phenotypes. Even more surprisingly, phosphorylated tau species have been found in muscle biopsies from ALS patients [5]. This suggests that tau pathology can originate from outside the CNS. These findings collectively contest the conventional distinctions between AD and ALS, indicating a common framework for phosphoproteomics. P-tau 217 is an emerging blood-based biomarker; specifically, it stands out as a promising crossdisease biomarker, serving as an early indicator of amyloid-related pathology in AD.However, it reflects LMN injury and kinase dysregulation in ALS [5]. Combining tau phosphorylation with markers like NfL could lead to multiplexed biomarker panels that can distinguish subtypes, differentiate between overlapping phenotypes, and inform cross-disease treatment plans Figure 1.. Earlier studies have indicated that p-tau181 levels increase due to LMN involvement and degeneration, leading to higher p-tau181 in the plasma of ALS patients. However, some reports suggest that p-tau181 and p-tau217 may be released from peripheral axons and nearby denervated muscle fibers [16]. Additionally, pathological tau species have been detected in the blood and other peripheral tissues, such as skin and nerves, in patients with progressive supranuclear palsy, a tauopathy, which supports the presence of tau outside the CNS [17]. This cumulative evidence suggests the peripheral involvement of tau release from the denervated muscle fiber and thus the peripheral involvement in the neurological conditions. However, further studies are warranted with a large number of cohorts, including patients from each stage of clinical progression in ALS because of the heterogeneous nature of the disease.Both plasma p-tau181 [18] and p-tau181 [19] levels are reported to be increased in the early stages of AD or preclinical stages of AD. Both begin to rise in individuals who are cognitively normal but have early AD (defined by amyloid-beta positivity). Levels of p-tau181 and p-tau217 are higher in people with mild cognitive impairment and continue to increase over time, correlating with a decline in cognition and brain atrophy. The significant milestone is the recent approval of the development Elecsys pTau181 biomarker test, developed by two pharmaceutical companies, Roche in Basel, Switzerland, and Eli Lilly in Indianapolis, for the detection of AD [20].In case of ALS neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) is elevated in presymptomatically and continue to rise in the early stages of the disease and recently regarded as promising prognostic and diagnostic biomarkers [21],nevertheless, no validated studies have shown the consistency of increase in p-tau181 and p-tau217 during the clinical progression of ALS starting from presymptomatic phase to symptomatic phase. The landmark study by Rumeileh and his team has caused a paradigm shift in how we think about peripheral involvement of taupathy in ALS.Additionally, patient stratification studies that combine neurofilament involvement stages with peripheral tau pathology might help solve the challenge of distinguishing between AD and ALS.Phosphoproteomics is transforming NDDs research by identifying both p-tau181 and p-tau217 as molecular links between AD and ALS. This connection opens the door for cross-disease biomarker strategies and the development of personalized therapies. Tau phospho-biology, therefore, serves as a unifying focus to address the complexity of currently untreatable NDDs. However, recent studies have prompted a paradigm shift in how we think about the involvement of peripheral tissues in NDDs. To tackle the challenges of overlapping diagnoses among different NDDs, we should consider the varied involvement of CNS and peripheral tissues at each stage of clinical progression, assessed longitudinally. Additionally, future large cohort studies with ALS and AD muscle biopsies are necessary to verify the findings of increased p-tau181 and p-tau217 using the reliable, reproducible, robust, and sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) combined with data-independent acquisition (DIA) phosphoproteomics techniques.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.304
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueFrontiers in NeuroscienceSame topicAlzheimer's disease research and treatmentsFrench-language works237,207