NCT07059117

Brief Summary

Background Sweet and salty tastes can influence food intake {Sørensen, 2003 #40}. Increased intensity of these tastes has been shown to decrease food intake and increase satiation compared to the less intense taste, independent of palatability {Bolhuis, 2010 #245;Bolhuis, 2011 #251;Chung, 2007 #253;Lucas, 1987 #258;Vickers, 1998 #252;Vickers, 1998 #249;Vickers, 2001 #246;Yeomans, 1998 #244}. Umami taste intensity has been shown to reduce subsequent food intake {Masic, 2014 #7}, especially when paired with protein content in foods {Masic, 2014 #6}. Taste can be related with nutrient content of the diet, with sweet foods having carbohydrates, salty foods containing sodium, and umami foods containing protein {Teo, 2018 #37}. However, no study has yet investigated the impact of umami and food intake, using the approach of similar palatability and differing taste intensity levels {Forde, 2016 #254}. Given its relationship with nutrient signaling, it is important to explore the relationship between umami intensity and satiation. Therefore, this study aims to compare ad libitum food intake of two levels with similar palatability and differing umami taste intensities (high and low) to food intake from a meal with optimum taste intensity. Methods Test session 1 Determine individual's most preferred level of umami taste in 10 risotto samples, use Booth's method {Booth, 1983 #247}. Samples will contain a fixed level of salt, and MSG concentrations ranging from 0.2-1.2 w/w%, based on the optimal amount of MSG added to enhance taste to be 0.1-0.8 w/w% {Wijayasekara, 2017 #70}. Per individual, samples that are closest to those situated at -3.5 and +3.5 from the optimum (at 7) will be selected (figure 1). Healthy, normal weight participants will be included. Previous studies have applied this method in sweet and salty tastes with 15-59 participants {Bolhuis, 2010 #245;Bolhuis, 2011 #251;Bolhuis, 2012 #255;Vickers, 1998 #252;Vickers, 1998 #249;Vickers, 2001 #246}. Test session 2, 3 and In a randomized cross-over design, participants will receive the optimum, high and low MSG risotto. The following will be measured:

  • Test meal consumption (primary outcome);
  • Liking before meal;
  • Liking after meal;
  • Water consumption;
  • Taste intensity ratings of the meal;
  • Habitual dietary taste exposure (tasteFFQ). Subjects will be asked to eat a similar breakfast and to not consume anything between breakfast and lunch session. They will also be asked to refrain from eating for one hour after the test session. Participants will be asked to fill in the tasteFFQ, to investigate the link between dietary taste patterns and hedonic umami taste ratings. Data will be analyzed using Rstudio. First, normality will be assessed, and data will be normalized if needed. Difference in food intake in grams between the three intensities will be compared using ANOVA. A post-hoc test will be applied if statistical outcomes are significant. Categorical variables will be compared using Chi-square test.

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
33

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Apr 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

April 12, 2025

Completed
1 month until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 23, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 23, 2025

Completed
1 month until next milestone

First Submitted

Initial submission to the registry

June 30, 2025

Completed
10 days until next milestone

First Posted

Study publicly available on registry

July 10, 2025

Completed
Last Updated

August 17, 2025

Status Verified

June 1, 2025

Enrollment Period

1 month

First QC Date

June 30, 2025

Last Update Submit

August 12, 2025

Conditions

Keywords

umamisavouryad libitumtaste intensitypalatabilityfood intakehedonic mappingMSG

Outcome Measures

Primary Outcomes (1)

  • Difference in food intake from ad libitum test meal between taste intensity conditions

    Difference in food intake in volume (grams) from the ad libitum test meal between the three (high-, low- and optimum) umami taste intensities.

    Test session 2, 3, and 4 (week 2, 3 and 4)

Secondary Outcomes (6)

  • Difference in liking before meal between taste intensity conditions

    Test session 2, 3, and 4 (week 2, 3 and 4)

  • Difference in liking after meal between taste intensity conditions

    Test session 2, 3, and 4 (week 2, 3 and 4)

  • Difference in umami taste intensity ratings of the ad libitum test meal between taste intensity conditions

    Test session 2, 3, and 4 (week 2, 3 and 4)

  • Difference in water consumption during the ad libitum test meal between taste intensity conditions

    Test session 2, 3, and 4 (week 2, 3 and 4)

  • Difference in reported appetite and fullness ratings between the three conditions

    Test session 2, 3, and 4 (week 2, 3 and 4)

  • +1 more secondary outcomes

Study Arms (3)

Low umami intensity

EXPERIMENTAL

The low umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated 1.85 units to the left on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Other: Hedonic mappingOther: Ad libitum risotto test meal

High umami intensity

EXPERIMENTAL

The high umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated 1.85 units to right left on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Other: Hedonic mappingOther: Ad libitum risotto test meal

Optimum umami taste intensity

EXPERIMENTAL

The optimum umami intensity meal will have a taste intensity corresponding with the MSG concentration in the sample rated closest to the 'Just right' point on the Visual Analogue Scale (VAS) during the first test session in which umami taste preferences per individual will be assessed by hedonic mapping.

Other: Hedonic mappingOther: Ad libitum risotto test meal

Interventions

During the first session, participants will be presented with risotto samples differing in MSG content and thus umami taste intensity, assigned based on Booth's method (Booth et al., 1983). Based on these individual ratings, umami taste intensities of the ad libitum test meals will be calculated per participant.

High umami intensityLow umami intensityOptimum umami taste intensity

During the ad libitum test meal, participants will be presented with 800 grams of risotto with either high-, low-, or optimum umami taste intensity.

High umami intensityLow umami intensityOptimum umami taste intensity

Eligibility Criteria

Age18 Years - 55 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Self-reported healthy;
  • BMI between 18.5 and 25 kg/m2;
  • Age between 18 and 55 years old;
  • Able to visit the research facilities on the Wageningen campus for hedonic mapping (once) and for the risotto lunch meal (three times);
  • Able to provide informed consent.

You may not qualify if:

  • Diagnosed with smell- or taste disorder(s);
  • Use of medication that could influence taste ability and/or food intake behaviour;
  • Food allergy or intolerance to any of the ingredients used in the ad libitum test meal;
  • Consumption of more than 14 (women) or 21 (men) glasses of alcohol per week;
  • Student or personnel of the Health Research Unit at Wageningen University

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Department of Human Nutrition, Wageningen University

Wageningen, Netherlands

Location

Related Publications (8)

  • Jayasena DD, Kang T, Wijayasekara KN, Jo C. Innovative Application of Cold Plasma Technology in Meat and Its Products. Food Sci Anim Resour. 2023 Nov;43(6):1087-1110. doi: 10.5851/kosfa.2023.e31. Epub 2023 Nov 1.

    PMID: 37969327BACKGROUND
  • Forde, C. G. (2016). Flavor perception and satiation. In Flavor (pp. 251-276). Woodhead Publishing.

    BACKGROUND
  • Masic U, Yeomans MR. Monosodium glutamate delivered in a protein-rich soup improves subsequent energy compensation. J Nutr Sci. 2014 Aug 13;3:e15. doi: 10.1017/jns.2014.15. eCollection 2014.

    PMID: 25191607BACKGROUND
  • Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, de Graaf C. Effect of salt intensity in soup on ad libitum intake and on subsequent food choice. Appetite. 2012 Feb;58(1):48-55. doi: 10.1016/j.appet.2011.09.001. Epub 2011 Sep 29.

    PMID: 21986190BACKGROUND
  • Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, Graaf Cd. Both longer oral sensory exposure to and higher intensity of saltiness decrease ad libitum food intake in healthy normal-weight men. J Nutr. 2011 Dec;141(12):2242-8. doi: 10.3945/jn.111.143867. Epub 2011 Nov 2.

    PMID: 22049294BACKGROUND
  • Bolhuis DP, Lakemond CM, de Wijk RA, Luning PA, de Graaf C. Effect of salt intensity on ad libitum intake of tomato soup similar in palatability and on salt preference after consumption. Chem Senses. 2010 Nov;35(9):789-99. doi: 10.1093/chemse/bjq077. Epub 2010 Aug 12.

    PMID: 20705808BACKGROUND
  • Sorensen LB, Moller P, Flint A, Martens M, Raben A. Effect of sensory perception of foods on appetite and food intake: a review of studies on humans. Int J Obes Relat Metab Disord. 2003 Oct;27(10):1152-66. doi: 10.1038/sj.ijo.0802391.

    PMID: 14513063BACKGROUND
  • Masic U, Yeomans MR. Umami flavor enhances appetite but also increases satiety. Am J Clin Nutr. 2014 Aug;100(2):532-8. doi: 10.3945/ajcn.113.080929. Epub 2014 Jun 18.

    PMID: 24944058BACKGROUND

Study Officials

  • Monica Mars, PhD

    Wageningen University

    PRINCIPAL INVESTIGATOR
  • Ciaran Forde, PhD

    Wageningen University

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
PARTICIPANT
Purpose
BASIC SCIENCE
Intervention Model
CROSSOVER
Model Details: Complete block randomized cross-over design.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Prof. Dr.

Study Record Dates

First Submitted

June 30, 2025

First Posted

July 10, 2025

Study Start

April 12, 2025

Primary Completion

May 23, 2025

Study Completion

May 23, 2025

Last Updated

August 17, 2025

Record last verified: 2025-06

Data Sharing

IPD Sharing
Will share

Individual study participant data will be shared after anonymization upon study publication in an open data repository (e.g. DANS or Yoda).

Locations