Liraglutide Reduces Visceral and Intrahepatic Fat Without Significant Loss of Muscle Mass in Obese Patients With Type 2 Diabetes: A Prospective Case Series
Bibliographic record
Abstract
Background: Glucagon-like peptide-1 receptor agonists have been reported to reduce body fat as well as improving glycemic control in obese patients with type 2 diabetes. However, the maximum dose of liraglutide is limited to 0.9 mg in Japan, while the international dose is 1.8 mg; and the effect of this low dose on body composition has not been assessed in detail. Accordingly, this study was performed to evaluate the effect of liraglutide on body composition when administered at 0.9 mg once daily for 24 weeks. Methods: Nine patients were enrolled and started liraglutide at 0.3 mg once daily, which was titrated to 0.9 mg once daily after 1 - 2 weeks and continued for 24 weeks. To comprehensively investigate changes of body composition, the body fat and muscle weight were determined by dual energy absorptiometry, visceral fat volume (VFV) and abdominal subcutaneous fat volume (SFV) were measured by abdominal computed tomography (CT), and the intrahepatic lipid content (IHL) was assessed by proton magnetic resonance spectroscopy. Measurements were obtained before starting liraglutide therapy and after 12 and 24 weeks of treatment. Results: Fasting plasma glucose was significantly reduced from 127 ± 22 to 101 ± 14 mg/dL at 24 weeks and hemoglobin A1c (HbA1c) showed significant reduction from 6.4±0.9% to 5.2±0.5%. Body weight was reduced from 103.4 ± 14.7 to 97.0 ± 12.4 kg (mean reduction: 11.7%) and BMI decreased from 37.4 ± 6.4 to 35.0 ± 5.3 kg/m 2 (mean reduction: 5.8%). Furthermore, VFV and IHL decreased from 5,192 ± 1,730 to 4,513 ± 1,299 cm 3 (mean reduction: 11.9%) and 32.1±12.6% to 15.2±9.2% (mean reduction: 49.2%), respectively, but SFV did not change. Moreover, the fat index was reduced from 14.8 ± 4.4 to 12.9 ± 3.4 kg/m 2 (mean reduction: 10.9%), but the skeletal muscle index did not change. Conclusions: In obese Japanese drug-naive patients who had type 2 diabetes, treatment with liraglutide (0.9 mg once daily for 24 weeks) reduced body fat, especially visceral fat and intrahepatic fat, while having no significant effect on skeletal muscle. J Clin Med Res. 2019;11(3):219-224 doi: https://doi.org/10.14740/jocmr3647
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".