Evidence map›Paper›PMID 40043690›Full record

Trial reportCell metabolism2025

Testing the carbohydrate-insulin model: Short-term metabolic responses to consumption of meals with varying glycemic index in healthy adults.

Ying Liu, Huihui Mei, Li Xue, Chuanli Cheng, Yingtong Wu, Chao Zou, Ying Yu, Lin Gao, Huanan Zhang, Xinrui Gao and 7 more

Erratum issued Registry-linked trialAbstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Cell metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05804942 (Metabolic Response to Variations in Dietary Glycemic Index), which is not on this map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05804942 nacompletednot on this map

Metabolic Response to Variations in Dietary Glycemic Index

TypeinterventionalSponsorShenzhen Institutes of Advanced Technology ,Chinese Academy of SciencesRan2023 to 2024Enrolled135ConditionsHealthy, Hunger, Food PreferencesArmsHigh glycemic index, Medium glycemic index, Low glycemic index
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. How does obesity develop-and are specific foods to blame?Hepatobiliary surgery and nutrition · 2026
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Ying LiuShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Huihui MeiShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; School of Pharmacy, Yantai University, Yantai 264005, Shandong, P.R. China.
Li XueShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; University of Chinese Academy of Sciences, Beijing 101408, P.R. China.
Chuanli ChengPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Yingtong WuPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Chao ZouPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Ying YuShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Lin GaoShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; Shenzhen Institute of Translational Medicine, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen 518035, P.R. China.
Huanan ZhangShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; School of Pharmacy, Yantai University, Yantai 264005, Shandong, P.R. China.
Xinrui GaoShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; School of Food and Health, Beijing Technology and Business University, Beijing 100048, P.R. China.
Qiang LiDepartment of Endocrine and Metabolic Disease, Shenzhen University General Hospital, Shenzhen 518055, P.R. China.
Lu WangSchool of Pharmacy, Yantai University, Yantai 264005, Shandong, P.R. China.
Jie LiuSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, P.R. China.
Chaoqun NiuShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Xueying ZhangShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
Sumei HuShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China.
John R SpeakmanShenzhen Key Laboratory of Metabolic Health, Center for Energy Metabolism and Reproduction, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, P.R. China; School of Biological and Environmental Sciences, University of Aberdeen, Aberdeen AB24 2TZ, Scotland; Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, P.R. China; Faculty of Pharmaceutical Sciences, Shenzhen University of Advanced Technology, Shenzhen, P.R. China; Institute of Public Health, China Medical University, Shenyang, Liaoning, P.R. China. Electronic address: j.speakman@abdn.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The carbohydrate-insulin model predicts that meals with varying glycemic indices will elicit distinct metabolic and hunger responses, including greater intake at subsequent meals following high-glycemic-index meals. To test this, a randomized trial (NCT05804942) was conducted in healthy adults using intervention meals with low, medium, and high glycemic indices and a constant macronutrient composition. After intake of the intervention meals, glucose and insulin followed the predicted pattern, but subjective hunger did not. At the group level, low glycemic index meals led to lower energy intake changes. At the individual level, energy intake changes were unrelated to body fatness or levels of glucose, β-hydroxybutyrate, free fatty acids, L-lactate, leptin, adrenaline, glucagon-like peptide-1, glucagon, and insulin-glucagon ratio. A weak negative association was observed between energy intake changes and insulin or insulin-glucagon ratio at 300 min, opposite to the model's prediction. These data provide little support for the carbohydrate-insulin model.

Indexed as

Dietary CarbohydratesGlycemic IndexInsulinMealsAdultBlood GlucoseEnergy IntakeFemaleGlucagonHumansHungerMaleYoung AdultBlood GlucoseDietary CarbohydratesGlucagonInsulincarbohydrateenergy intakeglucoseglycemic indexhunger rateinsulin

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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 OpenQuestion graph.