CRY1 polymorphism may influence the association of low carbohydrate diet (LCD) score on glucose homeostasis in overweight and obese women
Bibliographic record
Abstract
Background and aims: We sought to examine the interaction between CRY1 genotypes and low carbohydrate diet (LCD) score and the effect on insulin resistance, insulin sensitivity, homeostasis model assessment of insulin resistance (HOMA- IR) and quantitative insulin sensitivity check index (ISQUKI). Methods: This cross-sectional study was conducted with a total of 228 overweight and obese women. The data related to anthropometric and biochemical measures were collected and a food frequency questionnaire (FFQ), with 147 items, was used to assess dietary intake. Based on the FFQ, we calculated an LCD score for each study participant, ranging from 0 to 70. Biochemical assessments, including TC, HDL, LDL, TG, FBS, insulin and HOMA-IR, were performed. Deoxyribonucleic acid (DNA) samples were assessed to be genotyped for the rs2287161, which was genotyped by the restriction fragment length polymorphism (PCR-RFLP) method. A generalised linear model was performed for interaction analysis. Results: The results of the study demonstrated that, after controlling for several confounders, increased adherence to an LCD (T3 vs. T1) in the interaction with one risk allele genotype (CG) increases ISQUKI level (β: 0.001, CI: 0.00, 0.002, p=0.041). Also, there was a marginally negative interaction between higher adherence to LCD and two risk alleles genotype (CC) on insulin level (β: -0.012, CI: 0-0.024, 0.001, p=0.054). Conclusions: This study revealed a negative interaction of CRY1 genotypes with two risk allele and higher LCD adherence on insulin level, and a positive interaction on ISQUKI. However, the mechanism of interaction between LCDs and CRY1 genotypes remains unclear.
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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) | 0.000 | 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) | 0.000 | 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".