Increased coupling of caveolin‐1 and estrogen receptor α contributes to the fragile <scp>X</scp> syndrome
Bibliographic record
Abstract
OBJECTIVE: Fragile X syndrome (FXS) is a form of inherited mental retardation in humans that results from expansion of a CGG repeat in the FMR1 gene. Interaction between estrogen receptor (ER) and lipid raft caveolae is critical for the estrogen signaling. Here, we tested the hypothesis that impaired ER-caveolae coupling contributes to the mental retardation of FXS. METHODS: Fmr1 knockout (KO) mouse was used as the model of FXS. Multiple techniques were performed including primary neuronal culture, short hairpin RNA (shRNA) interference, Western blot, electrophysiological recording, RNA-binding protein immunoprecipitation, reverse transcriptase polymerase chain reaction, and behavioral tests. RESULTS: In this study, we report that GluA1 surface expression and phosphorylation induced by 17β-estradiol (E2) were impaired in the Fmr1 KO neurons. The E2-mediated facilitation of long-term potentiation and fear memory was impaired in the anterior cingulate cortex of Fmr1 KO mice. The increased coupling of caveolin-1 (CAV1) and the membrane estrogen receptor ERα under basal conditions contributed to the impairment of ER signaling in Fmr1 KO neurons. FMRP (fragile X mental retardation protein) interacted with CAV1 mRNA, and knockdown of CAV1 with shRNA rescued the synaptic GluA1 delivery, plasticity, and memory in Fmr1 KO mice. INTERPRETATION: This is the first demonstration that the coupling between ERα and lipid raft CAV1 is critical for membrane ER signaling in synaptic plasticity. Therefore, increased coupling of CAV1 and ERα may elucidate a critical abnormal mechanism of FXS.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".