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Record W4414585427 · doi:10.1038/s12276-025-01534-w

Cholesterol-driven pathological astrocytic responses in diabetes-associated cognitive impairment through astrocytic SCAP accumulation and NF-κB–C3 signaling modulation

2025· article· en· W4414585427 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueExperimental & Molecular Medicine · 2025
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsnot available
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsAstrocytePathologicalHippocampal formationHippocampusGlycationCognitionDiabetes mellitusKnockout mouse

Abstract

fetched live from OpenAlex

The diabetic environment, characterized by hyperglycemia, advanced glycation end products and cerebral insulin resistance, triggers pathological astrocytic responses that contribute to cognitive decline in diabetes-associated cognitive impairment. Cholesterol accumulation in the brain, particularly in astrocytes, contributes to this pathological process. SCAP, a cholesterol sensor involved in lipid imbalances, regulates metabolic diseases, but its role in astrocytes remains unclear. C57BL/6J wild-type and astrocyte-specific SCAP knockout mice were fed a high-fat diet and treated with streptozotocin to induce type 2 diabetes mellitus (T2DM). Behavioral tests and hippocampal histology were performed at 28 weeks. We investigated the NF-κB-C3 signaling pathway to elucidate how SCAP induces pathological astrocytic responses under diabetic conditions. Cognitive function was assessed in patients with T2DM using the Montreal Cognitive Assessment (MoCA) and the mini-mental state examination (MMSE). We found elevated SCAP expression in the astrocytes of T2DM mice, correlated with cognitive dysfunction, impaired synaptic plasticity and altered astrocyte morphology. These effects were mitigated in astrocyte-specific SCAP knockout mice. SCAP elevation activates NF-κB by recruiting IκBα to the Golgi apparatus, promoting C3 transcription. Conversely, the inhibition of SCAP suppressed NF-κB activation. In patients with T2DM, serum C3 levels were higher in those with mild cognitive impairment, showing a U-shaped correlation with low-density lipoprotein-cholesterol (LDL-C) levels. These findings uncover a critical regulatory axis underlying astrocytic dysfunction, where SCAP mediates pathological astrocytic responses via the NF-κB-C3 pathway, with the Golgi acting as the platform for SCAP-driven activation. Here we highlight the interaction between cholesterol disorders and pathological astrocytic responses, presenting SCAP as a potential target for therapeutic intervention in diabetes-associated cognitive impairment. Research Hypothesis Illustration: SCAP and complement C3 play a role in cholesterol-driven astrocyte responses in diabetes-associated cognitive impairment. Astrocytic SCAP expression is abnormally increased in HFD/STZ-induced diabetic mice, impairing neuronal synaptic plasticity by activating the IκBα/NF-κB/C3 signalling pathway. Upregulated SCAP in astrocytes directly binds to IκBα, increasing its activation in the Golgi apparatus, which promotes NF-κB nuclear translocation and triggers complement C3 transcriptional activation and inflammatory immune responses, ultimately leading to neuronal and cognitive damage.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.343
Teacher spread0.299 · 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