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Evidence of Increased Prefrontal Cortex Inflammation and Amyloid Precursor Protein Processing in a Translational Swine Model of Heart Failure with Preserved Ejection Fraction

2018· article· en· W3175074672 on OpenAlexaff
Bradley J. Baranowski, T. Dylan Olver, Jenna C. Edwards, Tom J. Jurrisen, Jaume Padilla, R. Scott Rector, Craig Emter, Rebecca E. K. MacPherson

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsBrock University
FundersNational Institutes of HealthAmerican Heart Association
KeywordsHeart failureInternal medicineEjection fractionPrefrontal cortexMedicineNeuroinflammationEndocrinologyHeart failure with preserved ejection fractionCardiologyInflammationPsychiatry

Abstract

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The oligomerization of amyloid beta peptides (Aβ), a histopathological hallmark of diseases such as Alzheimer's, may be elevated in cardiogenic dementias coincident with heart failure (HF). BACE1, the rate‐limiting protease enzyme in the amyloidogenic process, initiates the processing of amyloid precursor protein (APP) leading to the production of Aβ. Understanding the mechanistic regulation of BACE1 may be critical for improving treatment efficacy in heart failure patients exhibiting cardiogenic dementia. The purpose of this study was to examine the molecular mechanisms of cardiogenic dementia in a novel swine model of HF with preserved ejection fraction (HFpEF) exhibiting comorbidities including obesity and metabolic syndrome. Female Ossabaw pigs were randomly divided into two groups; control (CON, n=4) and Western diet‐induced obesity/metabolic syndrome with pressure overload‐induced HFpEF (HF, n=4). The HF group was placed on a Western diet (starting at 3 mo. of age) and aortic‐banded (at 6 mo. of age) prior to euthanasia (at 12 mo. old). At euthanasia, prefrontal cortex and hippocampus regions were collected for Western blot analysis. Total body mass was increased (CON=42±2 vs. HF=72±4 Kg; p<0.01), but brain mass was decreased (CON=110±3 vs. HF=92±2 g; p<0.01) in the HF group. The HF group exhibited greater prefrontal cortex total APP (p<0.01), BACE1 (p<0.01) and CTF protein levels (p=0.01), indicative of increased APP processing. This was accompanied by increased markers of chronic stress and neuroinflammation, specifically phosphorylation of JNK (p<0.01) and phosphorylation of ERK (p<0.01). Aberrant control of the insulin‐signaling pathway was also observed in the prefrontal cortex via increases in the phosphorylation of Akt serine 473 (p<0.01) and insulin‐degrading enzyme protein content (p=0.03) in the HF group. Similar results were observed in the hippocampus for increases in APP processing (increased APP and CTF content), neuroinflammation (phosphorylation of JNK and ERK). However, there were no changes in BACE1 content or the insulin‐signaling pathway, highlighting the importance of examining regional differences in the brain. These data reveal that inflammatory stress and aberrant control of insulin signaling may be implicated in the pathogenic regulation of amyloid beta peptide metabolism in an experimental, large animal setting of HFpEF, and potentially contribute to the cardiogenic dementia often observed in HF patients. Support or Funding Information NIH R01 HL112998, PI: CAE NIH K01 HL125503 – PI, Padilla American Heart Association #16POST2776005, PI: TDO University of Missouri Research Board – PI's, Emter and Rector Alzheimer Society of Brant, Haldimand, Norfolk, Hamilton, and Halton, PI: REKM This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.299
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2018
Admission routes1
Has abstractyes

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