ClinicalTrials.gg
RecruitingNCT07213245Updated Sep 9, 2026

Metabolic Effects of Short-term Ultra-processed Food Intake (MEST-UPF)

An interventional study of Meal high in energy density, high in ultra-processed food and Meal high in energy density, low in ultra-processed food in Appetite and Obesity and Obesity-related Medical Conditions, sponsored by Göteborg University. Recruiting at 1 site in Sweden. Open to participants aged 18 Years to 50 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-09-09.

Sponsored by Göteborg University · Not applicable, Interventional, and Prevention

From the registry’s dates

  • Started Dec 2025; still recruiting 11 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
24
Allocation
Randomized
Ages
18 Years to 50 Years
Sex
All
01

Where this study stands

Counted across the records on this site · 2026-11-12

Among 23 studies in Obesity by Göteborg University — 5 open to participants now, 6 under way, none of them phase 3. Obesity · Göteborg University.

Planned enrollment
18th of 19
24 · median 85
Started
2025
with 1 other
No phase
13 of 23
3 open now
Registered
22nd of 23
by date

Among the 23 studies in Obesity by Göteborg University, this one is the 18th largest by planned enrollment of the 19 interventional ones that give a count, is one of 2 that started in 2025, is one of 13 with no phase, and was the 22nd registered.

Obesity

11,529 studies on the registry are indexed under Obesity; 2,035 are open to participants now.

Browse Obesity studies →

Open to participants now

5 of the 23 studies in Obesity by Göteborg University are open now, in 1 country. Recruiting first, the newest first:

By country, each count listing its studies:

All 5 open studies →

Where they have run

Who these studies take

Of the 1,336 Obesity studies recruiting now, 377 (28%) set no upper age limit and 856 (64%) stop at 75 or younger; 166 take children under 18; 488 take healthy volunteers.

This study: 18 Years to 50 Years · all sexes · healthy volunteers too.

The full table on the hub →

This tab as a report to print or save as PDF → With an account.

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Watch this landscapeDownload CSVNarrow it in search →With an account: a weekly mail of what changed among 23 studies in Obesity by Göteborg University, or all of them as a file.
02

Study summary

The overall aim of this project is to study the effects of short-term high ultra-processed food intake, compared to nutrient- and energy density matched low ultra-processed food (UPF) intake, on energy intake and appetite.

A total of 24 men and women who meet all inclusion criteria and none of the exclusion criteria will be invited to participate. A randomized 2*2 factorial four-way crossover study will be conducted at the Department of Internal medicine and Clinical Nutrition at the University of Gothenburg, comparing a high-UPF meal to a low-UPF meal also with high and/or low energy density. A supervised breakfast meal will be served, and postprandial blood samples and appetite measures will be collected continuously up to 4 hours after the breakfast meal. Subsequently, an ad libitum lunch meal will be served, and energy intake will be recorded.

03

Conditions studied

  • Appetite
  • Obesity and Obesity-related Medical Conditions

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04

Who can participate

Ages eligible
18 Years to 50 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • (BMI) 18.5-30 kg/m2
  • Fasting glucose \< 6.1 mmol/l
  • >110 g/L
  • Weight stability the last 3 months +/-5%

Exclusion criteria

Exclusion Criteria:

  • Food allergies, intolerances or preferences preventing consumption of any products included in the study.
  • Unable to sufficiently understand written and spoken Swedish or English to provide written consent and understand information and instructions from the study personal.
  • Pregnant, lactating or planning a pregnancy during the study period.
  • Blood donation or participation in a clinical study with blood sampling within 30 days prior to screening visit and throughout the study.
  • History of gastrointestinal conditions or major gastrointestinal surgery (Inflammatory bowel disease, Crohn's disease, malabsorption, colostomy, bowel resection, gastric bypass surgery etc.).
  • Type 1 diabetes or type 2 diabetes.
  • Thyroid disorder.
  • Current smoking, vaping.
  • Following any weight reduction program or having followed one during the last 6 months prior to screening.
  • Not habitually eating breakfast (\<5 times/week).
  • Restrained eating based on the three-factor eating questionnaire.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Hemoglobin (Hb)

The protein in red blood cells that carries oxygen. A low level is anaemia, which can cause tiredness and breathlessness. Measured in g/dL or g/L (9 g/dL is 90 g/L).

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Crossover assignment
Masking
Single (Participant)
Enrollment
24 participants (estimated)

Study arms

  • Experimental
    Meal high in energy density, high in ultra-processed food

    Meal high in energy density, high in ultra-processed food

    Other: Meal high in energy density, high in ultra-processed food

  • Experimental
    Meal high in energy density, low in ultra-processed food

    Meal high in energy density, low in ultra-processed food

    Other: Meal high in energy density, low in ultra-processed food

  • Experimental
    Meal low in energy density, high in ultra-processed food

    Meal low in energy density, high in ultra-processed food

    Other: Meal low in energy density, high in ultra-processed food

  • Experimental
    Meal low in energy density, low in ultra-processed food

    Meal low in energy density, low in ultra-processed food

    Other: Meal low in energy density, low in ultra-processed food

Interventions

  • OtherMeal high in energy density, high in ultra-processed food

    Meal high in energy density, high in ultra-processed food

  • OtherMeal high in energy density, low in ultra-processed food

    Meal high in energy density, low in ultra-processed food

  • OtherMeal low in energy density, high in ultra-processed food

    Meal low in energy density, high in ultra-processed food

  • OtherMeal low in energy density, low in ultra-processed food

    Meal low in energy density, low in ultra-processed food

06

What researchers measure

Primary outcomes

  1. Self-reported appetite

    Appetite ratings (hunger, fullness, and desire to eat) will be assessed using separate 100-mm Visual Analogue Scales (VAS), anchored with "not at all" (0 mm) and "extremely" (100 mm). Higher scores indicate greater perceived intensity.

    Time frame: Baseline to 8 hours after test meal

  2. Energy intake

    Energy intake estimated by nutrient calculation of leftover food at the ad libitum lunch meal

    Time frame: 4 hours after test meal

  3. Gastrointestinal hormones - incretins

    Difference between groups in incretins GIP and GLP-1 in response to meal

    Time frame: Baseline to 4 hours after test meal

  4. Gastrointestinal hormones - cholecystokinin

    Difference between groups in cholecystokinin in response to meal

    Time frame: Baseline to 4 hours after test meal

  5. Gastrointestinal hormones - peptide YY

    Difference between groups in peptide YY (PYY) in response to meal

    Time frame: Baseline to 4 hours after test meal

  6. Gastrointestinal hormones - ghrelin

    Difference between groups in ghrelin in response to meal

    Time frame: Baseline to 4 hours after test meal

Secondary outcomes

  1. Eating rate

    Time it takes to eat the study meal until satisfied

    Time frame: Baseline til end of study meal

  2. Glucose postprandial

    Difference between groups in postprandial glucose in response to meal.

    Time frame: Baseline to 4 hours after test meal

  3. Insulin postprandial

    Difference between groups in postprandial insulin in response to meal.

    Time frame: Baseline to 4 hours after test meal

  4. Lipid metabolism

    Difference between groups in postprandial lipid metabolism in response to meal.

    Time frame: Baseline to 4 hours after test meal

  5. Metabolome

    Differences between groups in metabolome (plasma) measured using metabolomics in response to meals.

    Time frame: Baseline to 4 hours after test meal

  6. Proteome

    Differences between groups in proteome (plasma) measured using proteomics in response to meals.

    Time frame: Baseline to 4 hours after test meal

  7. Self-reported prospective energy intake

    Self-reported prospective energy intake during the remainder of the day

    Time frame: From 30 min until midnight or bedtime (which ever comes first)

  8. Inflammatory markers in blood - cytokines

    Differences between groups in immunological responses (cytokines) in response to meal.

    Time frame: Baseline to 4 hours after test meal

  9. Inflammatory markers in blood - lipopolysaccharides

    Differences between groups in immunological responses (lipopolysaccharides) in response to meal.

    Time frame: Baseline to 4 hours after test meal

  10. Inflammatory markers in blood - GlycA

    Differences between groups in immunological responses (GlycA) in response to meal.

    Time frame: Baseline to 4 hours after test meal

  11. Lipid profile

    Differences between groups in lipid profile (plasma) measured using lipidomics in response to meals.

    Time frame: Baseline to 4 hours after test meal

Other outcomes

  1. Determinants of energy intake - proteome

    Correlation between baseline proteome measured using proteomics and the primary outcome energy intake

    Time frame: Baseline

  2. Determinants of energy intake - metabolome

    Correlation between baseline metabolome measured using metabolomics and primary outcome energy intake

    Time frame: Baseline

  3. Determinants of energy intake - body composition

    Correlation between baseline body composition (fat percentage and fat free mass percentage) measured using Bioelectrical impedance analysis (BIA) and primary outcome energy intake

    Time frame: Baseline

  4. Determinants of energy intake - metabolic markers

    Correlation between baseline metabolic markers, fasting plasma glucose, insulin, and triglycerides measured via standard clinical chemistry methods, and primary outcome energy intake

    Time frame: Baseline

  5. Determinants of energy intake - physical activity

    Correlation between baseline self-reported physical activity and primary outcome energy intake

    Time frame: Baseline

  6. Determinants of energy intake - diet

    Correlation between baseline diet (macro- and micronutrient intake, dietary patterns, food group intake) estimated from a 4-day dietary record and primary outcome energy intake

    Time frame: Baseline

  7. Determinants of energy intake - microbiome

    Correlation between baseline gut microbiome composition-assessed using metagenomic shotgun sequencing and 16S rRNA analysis-and the primary outcome of energy intake.

    Time frame: Baseline

07

Study locations

1 of 1 sites recruiting
  • Department of internal medicine and clinical nutrition, University olf Gothenburg
    Gothenburg, 40530, Sweden
    Recruiting
    • Therese Karlsson, PhD · Contact+46704089150
08

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Dec 2025 (actual). Primary completion is estimated for Dec 2026, 12 months after the start.

Of 3,683 non-industry interventional studies with no phase under Obesity, half reached primary completion within 23 months of starting (the median), counting those still running; a quarter within 10 and three quarters within 43. This study's planned 12 months is below that.

Counting every sponsor, half of 3,846 studies reached it within 22 months; a quarter within 9 and three quarters within 42.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 23, 2025
First posted
Oct 8, 2025
StartActual
Dec 1, 2025
Primary completionEst.
Dec 31, 2026
CompletionEst.
Dec 31, 2026
Last update
Sep 9, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 9, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07213245
Responsible party
Sponsor
First posted
Oct 8, 2025
Start date
Dec 1, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Sep 9, 2026

Study contacts

Therese Karlsson, PhD
Contact
therese.karlsson@gu.se
+46704089150
Linnea Bärebring, PhD
Contact
linnea.barebring@gu.se
Therese Karlsson, PhD
principal investigator · University of Gothenburg, Institute of medicine

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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