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Record W4318921735 · doi:10.1007/s00401-023-02541-9

Associations of psychiatric disease and ageing with FKBP5 expression converge on superficial layer neurons of the neocortex

2023· article· en· W4318921735 on OpenAlexafffund
Natalie Matosin, Janine Arloth, Darina Czamara, Katrina Z. Edmond, Malosree Maitra, Anna S. Fröhlich, Silvia Martinelli, Dominic Kaul, Rachael Bartlett, Amber R. Curry, Nils C. Gassen, Kathrin Hafner, Nikola S. Müller, Karolina Worf, Ghalia Rehawi, Corina Nagy, Thorhildur Halldorsdottir, Cristiana Cruceanu, Miriam Gagliardi, Nathalie Gerstner, Maik Ködel, Vanessa Murek, Michael J. Ziller, Elizabeth Scarr, Ran Tao, Andrew E. Jaffe, Thomas Arzberger, Peter Falkai, Joel E. Kleinmann, Daniel R. Weinberger, Naguib Mechawar, Andrea Schmitt, Brian Dean, Gustavo Turecki, Thomas M. Hyde, Elisabeth B. Binder

Bibliographic record

VenueActa Neuropathologica · 2023
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
FundersNational Health and Medical Research CouncilFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCanada First Research Excellence FundNational Institutes of HealthUniversity of SydneyInternational Brain Research OrganizationNational Alliance for Research on Schizophrenia and DepressionFondation Brain CanadaHope for Depression Research FoundationNational Institute on Alcohol Abuse and AlcoholismRebecca L. Cooper Medical Research FoundationVictorian Brain BankMedical Research CouncilAlexander von Humboldt-Stiftung
KeywordsFKBP5Schizophrenia (object-oriented programming)NeocortexBiologyNeuroscienceMedicineGeneticsGenePsychiatry

Abstract

fetched live from OpenAlex

Identification and characterisation of novel targets for treatment is a priority in the field of psychiatry. FKBP5 is a gene with decades of evidence suggesting its pathogenic role in a subset of psychiatric patients, with potential to be leveraged as a therapeutic target for these individuals. While it is widely reported that FKBP5/FKBP51 mRNA/protein (FKBP5/1) expression is impacted by psychiatric disease state, risk genotype and age, it is not known in which cell types and sub-anatomical areas of the human brain this occurs. This knowledge is critical to propel FKBP5/1-targeted treatment development. Here, we performed an extensive, large-scale postmortem study (n = 1024) of FKBP5/1, examining neocortical areas (BA9, BA11 and ventral BA24/BA24a) derived from subjects that lived with schizophrenia, major depression or bipolar disorder. With an extensive battery of RNA (bulk RNA sequencing, single-nucleus RNA sequencing, microarray, qPCR, RNAscope) and protein (immunoblot, immunohistochemistry) analysis approaches, we thoroughly investigated the effects of disease state, ageing and genotype on cortical FKBP5/1 expression including in a cell type-specific manner. We identified consistently heightened FKBP5/1 levels in psychopathology and with age, but not genotype, with these effects strongest in schizophrenia. Using single-nucleus RNA sequencing (snRNAseq; BA9 and BA11) and targeted histology (BA9, BA24a), we established that these disease and ageing effects on FKBP5/1 expression were most pronounced in excitatory superficial layer neurons of the neocortex, and this effect appeared to be consistent in both the granular and agranular areas examined. We then found that this increase in FKBP5 levels may impact on synaptic plasticity, as FKBP5 gex levels strongly and inversely correlated with dendritic mushroom spine density and brain-derived neurotrophic factor (BDNF) levels in superficial layer neurons in BA11. These findings pinpoint a novel cellular and molecular mechanism that has potential to open a new avenue of FKBP51 drug development to treat cognitive symptoms in psychiatric disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.276
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations55
Published2023
Admission routes2
Has abstractyes

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