Evidence map›Paper›PMID 30155553›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

The relationship between CSF biomarkers and cerebral metabolism in early-onset Alzheimer's disease.

Alice Jaillard, Matthieu Vanhoutte, Aurélien Maureille, Susanna Schraen, Emilie Skrobala, Xavier Delbeuck, Adeline Rollin-Sillaire, Florence Pasquier, Stéphanie Bombois, Franck Semah

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Alice JaillardNuclear Medicine Department, CHU Lille, F-59000, Lille, France. alice.jaillard@gmail.com.ORCID 0000-0003-4605-0575
Matthieu VanhoutteNuclear Medicine Department, CHU Lille, F-59000, Lille, France.
Aurélien MaureilleNeurology Department, CHU Lille, F-59000, Lille, France.
Susanna SchraenDepartment of Biology and Pathology, CHU Lill, F-59000, Lille, France.
Emilie SkrobalaNeurology Department, CHU Lille, F-59000, Lille, France.
Xavier DelbeuckNeurology Department, CHU Lille, F-59000, Lille, France.
Adeline Rollin-SillaireNeurology Department, CHU Lille, F-59000, Lille, France.
Florence PasquierInserm, U1171, F-59000, Lille, France.
Stéphanie BomboisInserm, U1171, F-59000, Lille, France.
Franck SemahNuclear Medicine Department, CHU Lille, F-59000, Lille, France.
Centre Hospitalier Universitaire de Lille · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOne can reasonably suppose that cerebrospinal spinal fluid (CSF) biomarkers can identify distinct subgroups of Alzheimer's disease (AD) patients. In order to better understand differences in CSF biomarker patterns, we used FDG PET to assess cerebral metabolism in CSF-based subgroups of AD patients.

methodsEighty-five patients fulfilling the criteria for probable early-onset AD (EOAD) underwent lumbar puncture, brain

resultsThree clusters emerged. The "Aβ42" cluster contained 32 patients with low levels of Aβ42, while tau and p-tau remained within the normal range. The "Aβ42 + tau" cluster contained 41 patients with low levels of Aβ42 and high levels of tau and p-tau. Lastly, the "tau" cluster contained 12 patients with very high levels of tau and p-tau and low-normal levels of Aβ42. There were no inter-cluster differences in age, sex ratio, educational level, APOE genotype, disease duration or disease severity. The "Aβ42 + tau" and "tau" clusters displayed more marked frontal hypometabolism than the "Aβ42" cluster did, and frontal metabolism was significantly negatively correlated with the CSF tau level. The "Aβ42" and "Aβ42 + tau" clusters displayed more marked hypometabolism in the left occipitotemporal region than the "tau" cluster did, and metabolism in this region was significantly and positively correlated with the CSF Aβ42 level.

conclusionThe CSF biomarkers can be used to identify metabolically distinct subgroups of patients with EOAD. Future research should seek to establish whether these biochemical differences have clinical consequences.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersBrainCluster AnalysisFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPeptide FragmentsPhosphoproteinsPositron-Emission Tomographytau ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide FragmentsPhosphoproteinstau ProteinsAlzheimer’s diseaseCSF biomarkersFDG-PET

Identifiers

PMID30155553
OpenAlexW2889493463

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.