Evidence map›Paper›PMID 41732138›Full record

ReviewCurrent opinion in neurology2026

Blood-based biomarkers of Alzheimer's disease: potential utility in clinical practice.

Xuemei Zeng, Nya Nicholson, Thomas K Karikari

Abstract readReview
In one paragraph

Review in Current opinion in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xuemei ZengDepartment of Psychiatry, School of Medicine, University of Pittsburgh.
Nya NicholsonDepartment of Psychiatry, School of Medicine, University of Pittsburgh.
Thomas K KarikariDepartment of Psychiatry, School of Medicine, University of Pittsburgh.

Funding

Plasma brain-derived tau: a novel Alzheimer’s disease-type neurodegeneration biomarker with potential to complete the AT(N) scheme in bloodR01AG083874 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Thomas K Karikari · 2023 to 2026
$14.5M
NIA NIH HHS R01 AG083874
6 · The paper itself

Abstract

purpose of reviewBlood-based biomarkers (BBMs) for Alzheimer's disease are beginning to enter clinical practice. As this integration advances, it is essential to critically examine their strengths, limitations, and readiness for broader clinical application. RECENT

findingsEvidence increasingly supports the utility of BBMs for clinical management of Alzheimer's disease, with phosphorylated tau species, Aβ42/40 ratio, GFAP, and NfL among the most studied. Plasma p-tau forms have emerged as the most promising markers, showing strong correlations with amyloid plaque deposition and predictive value for disease progression. The WHO and the Global CEO Initiative have outlined minimum performance criteria for clinical use. While no BBM meets these benchmarks with a single cutpoint, adopting a two-cutpoint approach by introducing an intermediate category has enabled some assays to achieve the required accuracy. Several assays are now commercially available, and two have recently received FDA clearance to assist in confirming or ruling out amyloid-beta pathology. SUMMARY: BBMs could transform Alzheimer's disease diagnostics by enabling scalable, minimally invasive approaches for early detection and monitoring. As implementation advances, assay harmonization, assessment of demographic and physiological influences, and real-world validation across diverse populations remain essential to ensure reliability and equitable access.

Indexed as

Alzheimer DiseaseBiomarkerstau ProteinsAmyloid beta-PeptidesHumansAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer's diseaseblood-based biomarkersclinical implementation

Identifiers

PMID41732138
PMCPMC12975021

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.