Evidence map›Paper›PMID 37461556›Full record

ArticleResearch square2023

Mass Spectrometry in Cerebrospinal Fluid Uncovers Association of Glycolysis Biomarkers with Alzheimer's Disease in a Large Clinical Sample.

Matthijs B de Geus, Shannon N Leslie, TuKiet Lam, Weiwei Wang, Pia Kivisakk, Angus C Nairn, Steven E Arnold, Becky C Carlyle

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Matthijs B de GeusMassachusetts General Hospital.
Shannon N LeslieYale School of Medicine.
TuKiet LamYale School of Medicine.
Weiwei WangYale School of Medicine.
Pia KivisakkMassachusetts General Hospital.
Angus C NairnYale School of Medicine.
Steven E ArnoldMassachusetts General Hospital.
Becky C CarlyleKavli Institute for Nanoscience Discovery.
Yale University · USMassachusetts General Hospital · USKavli Energy NanoScience Institute · US

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
Yale Alzheimer Disease Research CenterP30AG066508 · NIA · YALE UNIVERSITY · PI STEPHEN M STRITTMATTER, CHRISTOPHER H VAN DYCK · 2020 to 2026
$30.2M
The Massachusetts and Yale ADRC Collaborative Proteomic Biofluid Biomarker Discovery ProgramR01AG062306 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ARNOLD, STEVEN E, CARLYLE, BECKY CATHERINE · 2018 to 2022
$3.5M
6500 QTrap Mass Spectrometer for Yale UniversityS10OD018034 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2014 to 2014
$514k
NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG066508NIA NIH HHS R01 AG062306NIH HHS S10 OD018034
6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) is a complex heterogenous neurodegenerative disorder, characterized by multiple pathophysiologies, including disruptions in brain metabolism. Defining markers for patient stratification across these pathophysiologies is an important step towards personalized treatment of AD. Efficient brain glucose metabolism is essential to sustain neuronal activity, but hypometabolism is consistently observed in AD. The molecular changes underlying these observations remain unclear. Recent studies have indicated dysregulation of several glycolysis markers in AD cerebrospinal fluid and tissue. Methods: In this study, unbiased mass spectrometry was used to perform a deep proteomic survey of cerebrospinal fluid (CSF) from a large-scale clinically complex cohort to uncover changes related to impaired glucose metabolism. Results: Two glycolytic enzymes, Pyruvate kinase (PKM) and Aldolase A (ALDOA) were found to be specifically upregulated in AD CSF compared to other non-AD groups. Presence of full-length protein of these enzymes in CSF was confirmed through immunoblotting. Levels of tryptic peptides of these enzymes correlated significantly with CSF glucose and CSF lactate in matching CSF samples. Conclusions: The results presented here indicate a general dysregulation of glucose metabolism in the brain in AD. We highlight two markers ALDOA and PKM that may act as potential functionally-relevant biomarkers of glucose metabolism dysregulation in AD.

Indexed as

Alzheimer’s diseaseBiomarkersCerebrospinal fluidGlucose metabolismMass spectrometry

Identifiers

PMID37461556
PMCPMC10350182
OpenAlexW4382198399

What OpenQuestion holds

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LicenceCC BY
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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.