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Fiber-enriched Croissant Consumption and Effects on Metabolic Status, Appetite and Gut Microbiota

Effect of Daily Consumption of a Fiber-enriched Croissant on Metabolic Status, Dietary Habits and Gut Microbiota in Healthy Subjects (CROMA)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04999280
Acronym
CROMA
Enrollment
32
Registered
2021-08-10
Start date
2021-09-01
Completion date
2022-06-30
Last updated
2023-01-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Healthy, Overweight and Obesity

Brief summary

The aim of this study is to evaluate the effect of a daily consumption for 2 weeks of a sourdough croissant enriched with dietary fibers vs a control sourdough croissant with no fiber added on daily energy intakes, fasting metabolic parameters, inflammatory status, blood pressure, anthropometric measures, body composition, appetite sensations, gastrointestinal functionality and gut microbiota composition.

Detailed description

Associations between human health, diet and gut microbiota composition and functionality have been widely highlighted by the scientific literature in this field. Evidence shows that population adopting a Western dietary model, with a reduced intake of dietary fiber, undergo an adaptation of the gut microbiota characterized by the loss of some bacterial species and a general reduction in microbial biodiversity. The national guidelines for a healthy diet suggest to include daily fruit, vegetables, whole grains and legumes (the main sources of fiber in the diet) in the habitual diet to reduce the risk of diseases and to improve health. However, the compliance with these nutritional recommendations is generally low among individuals. Therefore, the commercial availability of dietary fiber-enriched products could be advantageous. Breakfast is an important meal that should provide at least 20% of the daily calories with an adequate supply of all nutrients. Having fiber-enriched foods for breakfast could bring numerous nutritional benefits and if they are made with sourdough may be even better. Indeed, sourdough leavened baked products provide compounds with potential prebiotic activity, reduce the glucose and insulin response, increase satiety and reduce gastro-intestinal disorders upon consumption. The hypothesis is that the combination of sourdough and dietary fiber in baked products could further ameliorate glucose metabolism in consumers compared to sourdough products. The aim of this study is to evaluate the effects of a daily consumption at breakfast for 2 weeks of a sourdough croissant enriched with dietary fibers from 10 different sources vs a sourdough croissant with no fiber added (control) on daily energy intakes, metabolic and inflammatory status, appetite feelings, body weight, body mass index (BMI), waist and hip circumferences, body composition, blood pressure, gut microbiota composition and gastrointestinal functionality in healthy subjects.

Interventions

OTHERFiber Croissant (FIBCRO) Group

Subjects will consume for 2 weeks at breakfast a fiber-enriched sourdough croissant. All subjects will be requested not to change other dietary habits and their physical activity during the 2 week intervention period.

OTHERControl Croissant (CONCRO) Group

Subjects will consume for 2 weeks at breakfast a sourdough croissant. All subjects will be requested not to change other dietary habits and their physical activity during the 2 week intervention period.

Sponsors

Federico II University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
TREATMENT
Masking
SINGLE (Subject)

Eligibility

Sex/Gender
ALL
Age
18 Years to 50 Years
Healthy volunteers
Yes

Inclusion criteria

* healthy subjects; * men and women; * age 18-50 years; * 20 kg/m2 ≤ BMI ≤ 35 kg/m2; * habitual daily breakfast consumption (≥ 250kcal/day); * habitual diet characterized by absence of any food supplements and alternative medication, probiotics and prebiotics, whole grain and/or fiber enriched foods; * intake of fruit/vegetables \< 3 servings/day; * low level of physical activity; * signed written informed consent.

Exclusion criteria

* food allergies and intolerances and celiac disease; * gastrointestinal diseases; * relevant diseases; * pregnant or breastfeeding; * previous abdominal surgery; * hypertriglyceridemia (Triglycerides \> 200 mg/dL); * hypercholesterolemia (Total cholesterol \> 200 mg/dL); * hyperglycaemia (glycaemia ≥ 110 mg/dL); * hypertension (arterial blood pressure ≥140/90 mm Hg); * weight loss ≥ 3 kg within 2 months before the study; * antibiotics treatment within 3 months before the study; * any medication (different from antibiotics) at the enrollment and within 2 months before the study; * habitual diet characterized by high fruit and vegetables intakes (\>3 portion/die); * high level of physical activity; * alcohol consumption ≥ 3 alcohol units per day; * simultaneous participation in other trial.

Design outcomes

Primary

MeasureTime frameDescription
Variation of daily energy intakes2 weeksCalculation of total daily energy intakes based on 7 days food records

Secondary

MeasureTime frameDescription
Changes in fasting plasma lipids2 weeksMeasure of plasma concentrations (mg/dL) of Total-, LDL-, and HDL-Cholesterol, as well as Triglycerides
Changes in fasting blood glucose2 weeksMeasure of blood glucose concentrations (mg/dL)
Variation of serum Insulin hormone concentration2 weeksMeasure of serum Insulin concentrations (mg/dL)
Variation of plasma endocannabinoids and N-acyl-ethanolamines concentration2 weeksMeasure of plasma endocannabinoids and N-acyl-ethanolamines concentrations (mg/dL)
Variation of serum dipeptidyl-dipeptidase-IV activity2 weeksMeasure of serum dipeptidyl-dipeptidase-IV (U/L) activity
Variation of urinary excretion levels of polyphenols2 weeksMeasure of polyphenols concentration in urine by mean of liquid chromatography coupled with tandem mass spectrometry (LC/MS/MS)
Variation of urinary excretion levels of urolithins2 weeksMeasure of urolithins concentration in urine by mean of LC/MS/MS
Changes in stool consistency2 weeksMeasure of consistency of feces by mean of King's stool chart filled out by subjects. The chart comprises four categories of stool consistency: hard and formed, soft and formed, loose and unformed, liquid.
Changes in stool weight2 weeksMeasure of stool weight by mean of King's stool chart filled out by subjects. The chart comprises three categories of stool weight : \<100 g, 100-200 g, \>200 g.
Changes in stool frequency2 weeksMeasure of frequency of feces by mean of King's stool chart filled out by subjects. Fecal frequency is incorporated by recording the code of each feces passed over a 24 hour period.
Changes in fasting plasma inflammatory markers2 weeksMeasure of plasma C-reactive protein (mmol/L)
Changes in faecal microbiome2 weeksThe composition of faecal microbiome will be determined by high throughput sequencing of the ribosomal ribonucleic acid 16S (16S rRNA) gene. The massive number of sequences obtained will be analyzed by using state of the art bioinformatics tools and the presence and relative abundance of the microbial species occurring in each sample will be determined.
Changes in body weight2 weeksMeasure of body weight in fasting subjects
Changes in body mass index2 weeksCalculation of body mass index by using the formula weight in kilograms divided by height in meters squared.
Changes in waist circumference2 weeksMeasure of waist circumference at the midpoint between the lower margin of the least palpable rib and the top of the iliac crest.
Changes in hip circumference2 weeksMeasure of hip circumference around the widest portion of the buttocks.
Changes in blood pressure2 weeksMeasure of systolic pressure and diastolic pressure in millimetres of mercury (mmHg) by using a digital sphygmomanometer
Changes in body composition2 weeksBody composition is determined by conventional bioelectrical impedance analysis with a single-frequency 50 kilohertz (kHz) bioelectrical impedance analyzer in the postabsorptive state (fasting subjects) and after being in the supine position for 20 min. Body composition data will be calculated from bioelectrical measurements and anthropometric data by using validated predictive equations.
Variation of hunger feeling scores2 weeksMeasures of hunger sensation over the day reported by subjects by using hunger Visual Analogue Scales (VAS) 0-10 centimeters (where 0 corresponds to the lowest and 10 to the highest feeling the individual could perceive). Changes in these scores may reflect potential effects of dietary intervention in modulating hunger.
Variation of fullness feeling scores2 weeksMeasure of fullness sensation over the day reported by subjects by using fullness Visual Analogue Scales (VAS) 0-10 centimeters (where 0 corresponds to the lowest and 10 to the highest feeling the individual could perceive). Changes in these scores may reflect potential effects of dietary intervention in modulating fullness.
Variation of satiety feeling scores2 weeksMeasure of satiety sensation over the day reported by subjects by using satiety Visual Analogue Scales (VAS) 0-10 centimeters (where 0 corresponds to the lowest and 10 to the highest feeling the individual could perceive). Changes in these scores may reflect potential effects of dietary intervention in modulating satiety.
Changes in gastrointestinal functionality2 weeksCalculation of daily fecal score from summation of all scores for stool consistency, weight and frequency obtained from King's stool chart filled out by subjects. Scores are weighted such that an increase in fecal frequency alone results in a higher score than a change in fecal consistency alone, which in turn results in a higher score than an increase in fecal weight alone. Diarrhea is classified by a daily fecal score of 15 or more.

Countries

Italy

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026