Evidence map›Paper›PMID 42761392›Full record

ReviewFood science and biotechnology2026

Carbohydrate-mediated appetite regulation: physiological mechanisms, gut hormone-based therapies, and nutritional interventions.

Je-Hyun Park, Young-Bo Song, Yu-Ra Kang, Byung-Hoo Lee

Abstract readReview
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

4 authors.

Je-Hyun ParkDepartment of Food Science & Biotechnology and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, 05006 Republic of Korea.
Young-Bo SongDepartment of Food Science & Biotechnology and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, 05006 Republic of Korea.
Yu-Ra KangDepartment of Food Science & Biotechnology and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, 05006 Republic of Korea.
Byung-Hoo LeeDepartment of Food Science & Biotechnology and Carbohydrate Bioproduct Research Center, Sejong University, Seoul, 05006 Republic of Korea.ORCID 0000-0001-8351-4573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, glycemic carbohydrates have received increasing attention for their roles in regulating postprandial glycemic responses and appetite through coordinated digestive, hormonal, and neural mechanisms. This review provides an overview of how carbohydrate digestion rate influences gut-derived hormonal responses and appetite regulation. The physiological roles of gut hormones, such as glucagon-like peptide-1 (GLP-1), peptide YY (PYY), and glucose-dependent insulinotropic polypeptide (GIP), are discussed in relation to the nutrient-sensing, gut-brain axis, and intestinal feedback (ileal and colonic brakes) mechanisms. Furthermore, this review highlights food-level approaches for modulating carbohydrate digestion rate using structurally modified carbohydrates with slow digestive properties. Phytochemicals and non-starch polysaccharides are also discussed as inhibitory factors in carbohydrate digestion and absorption. This work offers a theoretical framework for future research aimed at long-term appetite regulation through dietary strategies rather than therapeutic interventions, thereby contributing to sustained glycemic control and long-term metabolic health.

Indexed as

Appetite-regulating hormoneColonic brakeGut-brain axisIleal brakeSlowly digestible carbohydrate

Identifiers

PMID42761392
PMCPMC13586120

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.