Evidence map›Paper›PMID 41659035›Full record

ArticleBrain communications2026

Plasmaphosphorylated tau as biomarkers for multiple sclerosis diagnosis, subtyping, and prognosis.

Chen Hu, Xuemei Zeng, Lili Zhang, Anuradha Sehrawat, Megan Powell, Emily Song, Elizabeth L S Walker, Alexis Watterson, Wen Zhu, Thomas K Karikari and 1 more

Abstract read
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

11 authors.

Chen HuDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID https://orcid.org/0000-0003-0282-4532
Xuemei ZengDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Lili ZhangDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Anuradha SehrawatDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Megan PowellDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Emily SongDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Elizabeth L S WalkerDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Alexis WattersonDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Wen ZhuDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Thomas K KarikariDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA 15260, USA.ORCID https://orcid.org/0000-0003-1500-2589

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
Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
NIA NIH HHS R01 AG083874NINDS NIH HHS R01 NS098023
6 · The paper itself

Abstract

Blood-based biomarkers are crucial for individualized management of multiple sclerosis (MS). Blood neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) have shown promising clinical utility in MS, but they are insufficient to guide clinical management. Plasma tau proteins remain underexplored despite the growing evidence of shared pathology in Alzheimer's disease and MS. We aimed to: (i) assess the utility of plasma tau biomarkers [phosphorylated tau 181 (p-tau181), p-tau217 and total tau (t-tau)] in MS diagnosis, subtyping and prognosis; and (ii) compare their performance with NfL and GFAP. From a clinic-based prospective cohort, we evaluated 160 people with MS [pwMS; 117 with relapsing-remitting MS, 43 with progressive MS (PMS)] and 20 non-MS controls, all with baseline plasma samples. We measured baseline plasma concentrations of p-tau181, p-tau217, t-tau, NfL and GFAP using ultrasensitive immunoassays. We collected demographics, clinical information, and longitudinal multi-modal outcomes (Patient Determined Disease Steps, normalized age-related MS severity score, walking speed, manual dexterity, cognitive performance, retinal nerve fibre layer thickness, total brain volume and grey matter volume) over a median follow-up of 3.0 years (interquartile range, 3.5). Adjusting for demographic and clinical covariates, we evaluated associations between biomarkers and MS diagnosis, subtypes, and prognosis. We examined the enhanced value of tau markers, in addition to NfL and GFAP, for subtype distinction and outcome prediction. Participants were enrolled between 2017 and 2023. Assays were performed in August 2023. Analyses were conducted in December 2024. Participants (

Indexed as

biomarkersmultiple sclerosisneurodegenerationprognosistau phosphorylation

Identifiers

PMID41659035
PMCPMC12880184

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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.