Evidence map›Paper›PMID 38239488›Full record

ArticleFrontiers in aging neuroscience2023

Plasma metabolites distinguish dementia with Lewy bodies from Alzheimer's disease: a cross-sectional metabolomic analysis.

Xiaobei Pan, Paul C Donaghy, Gemma Roberts, Leonidas Chouliaras, John T O'Brien, Alan J Thomas, Amanda J Heslegrave, Henrik Zetterberg, Bernadette McGuinness, Anthony P Passmore and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Intrinsic capacity in Lewy body dementia: a review.The Journal of frailty & aging · 2025
    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

12 authors at 5 institutions in 3 countries.

Xiaobei PanSchool of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom.
Paul C DonaghyTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Gemma RobertsTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Leonidas ChouliarasDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
John T O'BrienDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.
Alan J ThomasTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Amanda J HeslegraveDepartment of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, United Kingdom.
Henrik ZetterbergDepartment of Neurodegenerative Disease, University College London Queen Square Institute of Neurology, London, United Kingdom.
Bernadette McGuinnessCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Anthony P PassmoreCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Brian D GreenSchool of Biological Sciences, Queen's University Belfast, Belfast, United Kingdom.
Joseph P M KaneCentre for Public Health, Queen's University Belfast, Belfast, United Kingdom.
Queen's University Belfast · GBNewcastle University · GBUniversity of Cambridge · GBUK Dementia Research Institute · GBUniversity of Wisconsin–Madison · US

Funding

Medical Research Council MR/W000229/1
6 · The paper itself

Abstract

Background: In multifactorial diseases, alterations in the concentration of metabolites can identify novel pathological mechanisms at the intersection between genetic and environmental influences. This study aimed to profile the plasma metabolome of patients with dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), two neurodegenerative disorders for which our understanding of the pathophysiology is incomplete. In the clinical setting, DLB is often mistaken for AD, highlighting a need for accurate diagnostic biomarkers. We therefore also aimed to determine the overlapping and differentiating metabolite patterns associated with each and establish whether identification of these patterns could be leveraged as biomarkers to support clinical diagnosis. Methods: A panel of 630 metabolites (Biocrates MxP Quant 500) and a further 232 metabolism indicators (biologically informative sums and ratios calculated from measured metabolites, each indicative for a specific pathway or synthesis; MetaboINDICATOR) were analyzed in plasma from patients with probable DLB ( Results: The PCA plot separated DLB, AD and HC groups (R2 = 0.518, Q2 = 0.348). Significant alterations in 17 detected metabolite parameters were identified ( Discussion: Several plasma metabolomic aberrations are shared by both DLB and AD, but a rise in plasma glutamine was specific to DLB. When measured against plasma lysoPC a C24:0, glutamine could differentiate DLB from AD, and the reproducibility of this biomarker should be investigated in larger cohorts.

Indexed as

Alzheimer’s diseasebiomarkersdementiaLewy body dementiametabolomic analyses

Identifiers

PMID38239488
PMCPMC10794326
OpenAlexW4390585175

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.