Evidence map›Paper›PMID 28460069›Full record

ArticleBrain : a journal of neurology2017

Cognitive reserve and TMEM106B genotype modulate brain damage in presymptomatic frontotemporal dementia: a GENFI study.

Enrico Premi, Mario Grassi, John van Swieten, Daniela Galimberti, Caroline Graff, Mario Masellis, Carmela Tartaglia, Fabrizio Tagliavini, James B Rowe, Robert Laforce and 18 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Brain : a journal of neurology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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  12. Cognitive reserve in ALS: the role of occupational skills and requirements.Amyotrophic lateral sclerosis & frontotemporal degeneration · 2024
    Article
  13. Article
  14. Cognitive resilience/reserve: Myth or reality? A review of definitions and measurement methods.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Review
  15. Gene specific effects on brain volume and cognition ofmedRxiv : the preprint server for health sciences · 2024
    Article
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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

28 authors at 16 institutions in 7 countries.

Enrico PremiNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Mario GrassiDepartment of Brain and Behavioral Science, Medical and Genomic Statistics Unit, University of Pavia, Italy.
John van SwietenDepartment of Neurology, Erasmus Medical Center, Rotterdam, The Netherlands.
Daniela GalimbertiDepartment of Pathophysiology and Transplantation, "Dino Ferrari" Center, University of Milan, Fondazione Cà Granda, IRCCS Ospedale Maggiore Policlinico, Milan, Italy.
Caroline GraffKarolinska Institutet, Department NVS, Center for Alzheimer Research, Division of Neurogenetics, Sweden.
Mario MasellisLC Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Toronto, ON, Canada.
Carmela TartagliaToronto Western Hospital, Tanz Centre for Research in Neurodegenerative Disease, Toronto, ON, Canada.
Fabrizio TagliaviniFondazione Istituto di Ricovero e Cura a Carattere Scientifico Istituto Neurologico Carlo Besta, Milano, Italy.
James B RoweDepartment of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
Robert LaforceClinique Interdisciplinaire de Mémoire, Département des Sciences Neurologiques, CHU de Québec, and Faculté de Médecine, Université Laval, QC, Canada.
Elizabeth FingerDepartment of Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada.
Giovanni B FrisoniIstituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Alexandre de MendonçaFaculty of Medicine, University of Lisbon, Lisbon, Portugal.
Sandro SorbiDepartment of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Florence, Italy.
Stefano GazzinaNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Maura CossedduNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Silvana ArchettiDepartment of Laboratories, III Laboratory of Analysis, Brescia Hospital, Brescia, Italy.
Roberto GasparottiNeuroradiology Unit, University of Brescia, Italy.
Marta ManesNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Antonella AlbericiNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Manuel J CardosoDementia Research Centre, UCL Institute of Neurology, London, UK.
Martina BocchettaDementia Research Centre, UCL Institute of Neurology, London, UK.
David M CashDementia Research Centre, UCL Institute of Neurology, London, UK.
Sebastian OurselinTranslational Imaging Group, Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK.
Alessandro PadovaniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Jonathan D RohrerDementia Research Centre, UCL Institute of Neurology, London, UK.
Barbara BorroniNeurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy.
Genetic FTD Initiative (GENFI)
University of Brescia · ITUK Dementia Research Institute · GBErasmus MC · NLFondazione IRCCS Istituto Neurologico Carlo Besta · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITKarolinska University Hospital · SESunnybrook Health Science Centre · CAToronto Western Hospital · CAUniversité Laval · CAUniversity College London · GBUniversity of Cambridge · GBUniversity of Geneva · CHUniversity of Lisbon · PTUniversity of Milan · ITUniversity of Pavia · ITWestern University · CA

Funding

Medical Research Council MC_U105597119Medical Research Council MC_UU_00005/12Medical Research Council MR/J009482/1Medical Research Council MR/M008525/1Medical Research Council MR/M009041/1Medical Research Council MR/M023664/1Medical Research Council MR/M024873/1
6 · The paper itself

Abstract

Frontotemporal dementia is a heterogeneous neurodegenerative disorder with around a third of cases having autosomal dominant inheritance. There is wide variability in phenotype even within affected families, raising questions about the determinants of the progression of disease and age at onset. It has been recently demonstrated that cognitive reserve, as measured by years of formal schooling, can counteract the ongoing pathological process. The TMEM106B genotype has also been found to be a modifier of the age at disease onset in frontotemporal dementia patients with TDP-43 pathology. This study therefore aimed to elucidate the modulating effect of environment (i.e. cognitive reserve as measured by educational attainment) and genetic background (i.e. TMEM106B polymorphism, rs1990622 T/C) on grey matter volume in a large cohort of presymptomatic subjects bearing frontotemporal dementia-related pathogenic mutations. Two hundred and thirty-one participants from the GENFI study were included: 108 presymptomatic MAPT, GRN, and C9orf72 mutation carriers and 123 non-carriers. For each subject, cortical and subcortical grey matter volumes were generated using a parcellation of the volumetric T1-weighted magnetic resonance imaging brain scan. TMEM106B genotyping was carried out, and years of education recorded. First, we obtained a composite measure of grey matter volume by graph-Laplacian principal component analysis, and then fitted a linear mixed-effect interaction model, considering the role of (i) genetic status; (ii) educational attainment; and (iii) TMEM106B genotype on grey matter volume. The presence of a mutation was associated with a lower grey matter volume (P = 0.002), even in presymptomatic subjects. Education directly affected grey matter volume in all the samples (P = 0.02) with lower education attainment being associated with lower volumes. TMEM106B genotype did not influence grey matter volume directly on its own but in mutation carriers it modulated the slope of the correlation between education and grey matter volume (P = 0.007). Together, these results indicate that brain atrophy in presymptomatic carriers of common frontotemporal dementia mutations is affected by both genetic and environmental factors such that TMEM106B enhances the benefit of cognitive reserve on brain structure. These findings should be considered in evaluating outcomes in future disease-modifying trials, and support the search for protective mechanisms in people at risk of dementia that might facilitate new therapeutic strategies.

Indexed as

Educational StatusFrontotemporal DementiaAdultAtrophyCognitive ReserveCohort StudiesFemaleGenotypeGray MatterHumansMagnetic Resonance ImagingMaleMembrane ProteinsMiddle AgedNerve Tissue ProteinsPolymorphism, GeneticMembrane ProteinsNerve Tissue ProteinsTMEM106B protein, humancognitive reservefrontotemporal dementiageneticsstructural MRITMEM106b

Identifiers

PMID28460069
PMCPMC5445253
OpenAlexW2607629364

What OpenQuestion holds

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LicenceCC BY
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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.