Evidence map›Paper›PMID 42460423›Full record

ArticleFood science & nutrition2026

Mogroside-Rich Monk Fruit Extract Improves Glycemic Control Without Promoting Additional Weight Gain Compared With Sucralose and Sucrose in High-Fat Diet-Induced Obese Mice.

Jessika Woo Kar Man, Yu-Cih Huang, Rong-Hong Hsieh, Sassy Bhawamai, Yue-Hwa Chen

Abstract read
In one paragraph

Article in Food science & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jessika Woo Kar ManSchool of Nutrition and Health Sciences, College of Nutrition Taipei Medical University Taipei Taiwan.
Yu-Cih HuangSchool of Nutrition and Health Sciences, College of Nutrition Taipei Medical University Taipei Taiwan.
Rong-Hong HsiehSchool of Nutrition and Health Sciences, College of Nutrition Taipei Medical University Taipei Taiwan.
Sassy BhawamaiCPF Food Research and Development Center Co., Ltd Phra Nakhon Si Ayutthaya Thailand.ORCID https://orcid.org/0000-0001-8740-1656
Yue-Hwa ChenSchool of Nutrition and Health Sciences, College of Nutrition Taipei Medical University Taipei Taiwan.ORCID https://orcid.org/0000-0003-1810-7052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-fat diet (HFD) with excessive sugar intake contributes to obesity and type 2 diabetes, leading to increased use of non-nutritive sweeteners (NNS). However, evidence on their metabolic effects remains inconsistent, especially between natural and synthetic NNS. This study compared the effects of a natural NNS, monk fruit extract (MFE), with sucrose and synthetic sucralose, at equivalent sweetness on body weight and glucose homeostasis in HFD-induced obese mice. Male C57BL/6 mice were fed an HFD for 8 weeks to induce obesity, then randomized to receive distilled water (control), sucrose (266 g/L), MFE (1.1 g/L; ~50% mogroside V), or sucralose (0.36 g/L) in drinking water for another 8 weeks. Body weight, food and water intake, and oral glucose tolerance tests (OGTT) were assessed. At sacrifice, serum biochemistry, organs, tissues, and duodenal expression of sweet taste receptors (T1R2/T1R3) and glucose transporters (SGLT-1/GLUT2) were analyzed. The results showed that sucralose and sucrose further increased body weight gain, whereas MFE did not promote additional weight gain despite increased food intake. MFE significantly reduced fasting blood glucose, while sucralose impaired glucose tolerance, reflected by increased OGTT area under the curve. No significant differences in visceral adipose tissue weights or duodenal T1R2, T1R3, SGLT-1, and GLUT2 expression were observed among groups. In conclusion, MFE, within ADI-equivalent doses, improved fasting glycemia without promoting further weight gain compared with the HFD-control, whereas sucralose exacerbated obesity-related impaired glucose tolerance. These findings suggest that natural sweeteners such as MFE may represent a safer alternative to added sugars and synthetic NNS for weight management and glycemic control for obese subjects.

Indexed as

glucose tolerancemogrosidemonk fruit extractnon‐nutritive sweetenersobesitysucralose

Identifiers

PMID42460423
PMCPMC13369284

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.