Evidence map›Paper›PMID 42149945›Full record

ArticlePloS one2026

Postprandial response of leptin and adiponectin to standardized high-carbohydrate and high-fat meals in adults: A cross-sectional study.

Fabiola Mabel Del Razo-Olvera, Ana Teresa Arias-Marroquín, Mayra Martínez-Fajardo, Wendolyn Elideth Dávila-Olmedo, Ivette Cruz Bautista, Gabriela Alejandra Galán-Ramírez, Liliana Juárez-Martínez, Donají Verónica Gómez-Velasco, Luz Elizabeth Guillén-Pineda, Angelina López Estrada and 5 more

Abstract read
In one paragraph

Article in PloS one, 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

15 authors.

Fabiola Mabel Del Razo-Olvera"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Ana Teresa Arias-Marroquín"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Mayra Martínez-Fajardo"Escuela de Altos Estudios en Salud", Universidad La Salle, Mexico City, Mexico.
Wendolyn Elideth Dávila-Olmedo"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Ivette Cruz Bautista"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Gabriela Alejandra Galán-Ramírez"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-4224-9619
Liliana Juárez-Martínez"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Donají Verónica Gómez-Velasco"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Luz Elizabeth Guillén-PinedaDepartment of Endocrinology and Lipid Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Angelina López EstradaDepartment of Endocrinology and Lipid Metabolism, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Rodrigo Otero-Otero"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Daniel Elías-López"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID https://orcid.org/0000-0001-9817-409X
Alexandro José Martagón-Rosado"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID https://orcid.org/0000-0003-2135-6295
Carlos Aguilar-Salinas"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.
Adrian Soto-Mota"Unidad de Investigación de Enfermedades Metabólicas", Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-9173-7440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeptin and adiponectin link adiposity with metabolic regulation. While their fasting levels have been extensively studied, little is known about their postprandial dynamics, and it is generally assumed that their concentration is unaffected by food intake.

objectiveTo evaluate the postprandial responses of leptin and adiponectin following two standardized meals differing in macronutrient composition, in adults with and without obesity.

methodsIn 79 adults (43 women, 36 men; 47% with obesity), we investigated whether meal composition influences adipokine responses. Participants completed two standardized mixed-meal tolerance tests: a high-carbohydrate meal (60% carbohydrate, 20% fat, 20% protein) and a high-fat meal (50% fat, 30% carbohydrate, 20% protein). Blood samples were collected at baseline and after 60, 120, and 360 minutes. Data were evaluated using linear mixed-effects models.

resultsWomen exhibited higher leptin and adiponectin concentrations than men (p < 0.001). Participants with obesity had higher leptin and lower adiponectin across all time points (p < 0.001) with both meals. In mixed-effects models, Sex and BMI were significant predictors of both concentrations of adipokines. Meal type significantly influenced leptin trajectories, with leptin concentrations having a progressive decline after the high-fat meal; in contrast, they did not change significantly after the high-carbohydrate meal. Adiponectin concentration showed only modest time-related changes but was not significantly modified by meal composition.

conclusionsSex and BMI are significant determinants of the postprandial dynamics of leptin and adiponectin, while meal composition, especially high-fat meals, influences leptin concentrations. These observations underscore the importance of considering postprandial dynamics rather than basal levels for assessing metabolic health. The reductions in leptin, particularly in individuals with obesity, could potentially influence satiety-related pathways, although this hypothesis requires confirmation in studies directly assessing appetite and energy intake.

Indexed as

AdiponectinDietary CarbohydratesDietary FatsLeptinPostprandial PeriodAdultCross-Sectional StudiesFemaleHumansMaleMealsMiddle AgedObesityAdiponectinDietary CarbohydratesDietary FatsLeptin

Identifiers

PMID42149945
PMCPMC13183211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.