Evidence map›Paper›PMID 39472664›Full record

ArticleMolecular psychiatry2025

Peripheral innate immunophenotype in neurodegenerative disease: blood-based profiles and links to survival.

Alexandra Strauss, Peter Swann, Stacey L Kigar, Rafailia Christou, Natalia Savinykh Yarkoni, Lorinda Turner, Alexander G Murley, Leonidas Chouliaras, Noah Shapiro, Nicholas J Ashton and 8 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Inflammation profiles in Alzheimer's disease relate to cognition and neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  3. The spleen-brain axis in Alzheimer's disease and related dementias: Integrating immune and metabolic regulation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
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

18 authors.

Alexandra StraussUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK.
Peter SwannDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Stacey L KigarDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2636-0648
Rafailia ChristouUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK.
Natalia Savinykh YarkoniDepartment of Medicine, University Cambridge, Cambridge, UK.
Lorinda TurnerDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Alexander G MurleyUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK.
Leonidas ChouliarasDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-3052-3879
Noah ShapiroUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK.ORCID 0000-0002-7786-2747
Nicholas J AshtonDepartment of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.
George SavulichDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6513-5454
W Richard Bevan-JonesDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Ajenthan SurendranthanDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-1890-4193
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0003-3930-4354
John T O'BrienDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0000-0002-0837-5080
James B RoweUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK.ORCID 0000-0001-7216-8679
Maura MalpettiUniversity of Cambridge Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, Cambridge, UK. mm2243@medschl.cam.ac.uk.ORCID 0000-0001-8923-9656

Funding

Alzheimer's Research UK (ARUK) ARUK-RADF2021A-010DH | National Institute for Health Research (NIHR) BRC-1215-20014; NIHR203312Medical Research Council MC_UU_00030/14Medical Research Council MR/T033371/1Wellcome TrustWellcome Trust (Wellcome) 220258; 103838
6 · The paper itself

Abstract

The innate immune system plays an integral role in the progression of many neurodegenerative diseases. In addition to central innate immune cells (e.g., microglia), peripheral innate immune cells (e.g., blood monocytes, natural killer cells, and dendritic cells) may also differ in these conditions. However, the characterization of peripheral innate immune cell types across different neurodegenerative diseases remains incomplete. This study aimed to characterize peripheral innate immune profiles using flow cytometry for immunophenotyping of peripheral blood mononuclear cells in n = 148 people with Alzheimer's disease (AD), frontotemporal dementia (FTD), corticobasal syndrome (CBS), progressive supranuclear palsy (PSP), Lewy body dementia (LBD) as compared to n = 37 healthy controls. To compare groups, we used multivariate dissimilarity analysis and principal component analysis across 19 innate immune cell types. We identified pro-inflammatory profiles that significantly differ between patients with all-cause dementia and healthy controls, with some significant differences between patient groups. Regression analysis confirmed that time to death following the blood test correlated with the individuals' immune profile weighting, positively to TREM2+ and non-classical monocytes and negatively to classical monocytes. Taken together, these results describe transdiagnostic peripheral immune profiles and highlight the link between prognosis and the monocyte cellular subdivision and function (as measured by surface protein expression). The results suggest that blood-derived innate immune profiles can inform sub-populations of cells relevant for specific neurodegenerative diseases that are significantly linked to accelerated disease progression and worse survival outcomes across diagnoses. Blood-based innate immune profiles may contribute to enhanced precision medicine approaches in dementia, helping to identify and monitor therapeutic targets and stratify patients for candidate immunotherapies.

Indexed as

Immunity, InnateNeurodegenerative DiseasesAgedAged, 80 and overAlzheimer DiseaseFemaleFlow CytometryFrontotemporal DementiaHumansImmunophenotypingLeukocytes, MononuclearLewy Body DiseaseMaleMiddle AgedMonocytesSupranuclear Palsy, Progressive

Identifiers

PMID39472664
PMCPMC12015116

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Registered trials

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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.