Male Marfan mice are predisposed to high-fat diet-induced obesity, diabetes, and fatty liver
Bibliographic record
Abstract
Gene mutations in the extracellular matrix protein fibrillin-1 cause connective tissue disorders including Marfan syndrome (MFS) with clinical symptoms in the cardiovascular, skeletal, and ocular systems. Patients with MFS also exhibit alterations in adipose tissues, which in some individuals leads to lipodystrophy, whereas in others to obesity. We have recently demonstrated that fibrillin-1 regulates adipose tissue homeostasis. Here, we examined how fibrillin-1 abnormality affects metabolic adaptation to different diets. We used two MFS mouse models: hypomorph Fbn1 mgR/mgR mice and Fbn1 C1041G/+ mice with a fibrillin-1 missense mutation. When Fbn1 mgR/mgR mice were fed with high-fat diet (HFD) for 12 wk, male mice were heavier than littermate controls (LCs), whereas female mice gained less weight compared with LCs. Female Fbn1 C1041G/+ mice on an HFD for 24 wk were similarly protected from weight gain. Male Fbn1 C1041G/+ mice on an HFD demonstrated higher insulin levels, insulin intolerance, circulating levels of cholesterol, and high-density lipoproteins. Moreover, male HFD-fed Fbn1 C1041G/+ mice showed a higher liver weight and a fatty liver phenotype, which was reduced to LC levels after orchiectomy. Phosphorylation of protein kinase-like endoplasmic reticulum kinase (PERK) and the expression of sterol regulatory element-binding protein 1 ( Srebp1) in livers of HFD-fed male Fbn1 C1041G/+ mice were elevated. In conclusion, the data demonstrate that male mice of both the MFS models are susceptible to HFD-induced obesity and diabetes. Moreover, male Fbn1 C1041G/+ mice develop a fatty liver phenotype, likely mediated by a baseline increased endoplasmic reticulum stress. In contrast, female MFS mice were protected from the consequence of HFD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".