Quinoa Ameliorates High‐Fat Diet‐Induced Obesity in Female Mice by Regulating Gut Microbiota and Adipogenesis
Bibliographic record
Abstract
The female obesity epidemic remains a major global public health challenge, with limited effective treatments available. Daily dietary management serves as an effective strategy for obesity prevention. As a promising functional food, quinoa has been demonstrated to possess anti-obesity properties. However, the mechanisms of quinoa on high-fat diet (HFD)-induced female obesity and its role in regulating adipose tissue remain unclear. In the present study, the effects of different dosages of quinoa on obesity and its underlying mechanisms were investigated in an HFD-induced mouse model of obesity. Six-week-old female C57BL/6J mice were fed an HFD to induce obesity, followed by an 8-week intervention with low dosage of quinoa (LQ), medium dosage of quinoa (MQ), and high dosage of quinoa (HQ), respectively. Then, 16S rRNA gene sequencing was performed to investigate gut microbial community and transcriptome analysis was conducted to characterize differentially expressed genes (DEGs) in gonadal white adipose tissue (gWAT) in mice. The HQ group significantly attenuated body weight in HFD-fed mice. The 16S rRNA gene sequencing analysis revealed that the three intervention groups exhibited distinct bacterial community profiles, and the bacterial taxa significantly enriched in response to quinoa intake were identified. Notably, the HQ group modulated gut microbiota composition, demonstrating significant regulatory effects on the populations of Bacteroidota, Bacteroidia, Bacteroidales, and Muribaculaceae, while concurrently reducing the Firmicutes-to-Bacteroidetes (F/B) ratio. Furthermore, transcriptomic analysis revealed that HQ treatment modulated HFD-induced DEGs associated with pathways of "transmembrane transporter complex," "ion gated channel activity," and "calcium ion binding" in gWAT. These findings suggest that quinoa alleviates HFD-induced obesity by regulating community structure of gut microbiota and the ion channel in gWAT, providing a strong theoretical foundation for the development of quinoa products for the treatment of female obesity.
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 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 | 0.001 |
| 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".