- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03972176
Impact of Perinatal Exposure to Non-caloric Sweeteners on Food Preferences and Weight Gain in the First Year of Life
May 31, 2019 updated by: Martin Gotteland, University of Chile
Determination of Perinatal Exposure to Non-caloric Sweeteners. Implications for the Development of Preferences for Sweet Taste, and Weight Gain During the First Year of Life
During last years, non-caloric sweeteners (NCSs) have been increasingly incorporated into foodstuffs in replacement of sucrose in Chile.
This situation has reached a point where it is currently difficult to find sugary foods without NCSs.
As a result, the voluntary and involuntary consumption of these additives is growing significantly in the population, increasing the risk of exceeding the acceptable daily intake (ADI), especially for children.
This situation is worrying as recent evidence suggests that NCSs are not inert in the body and can trigger adverse metabolic effects.
For example, the consumption of beverages with NCSs has been shown to favor the development of obesity and type-2 diabetes in children and adults, and a recent study reported that the intake of NCSs during pregnancy was associated with a greater weight gain of the child at one year.
It is likely that certain NCSs pass into the amniotic fluid and that the fetus is exposed to some of these compounds during pregnancy.
This situation would persist in the infant through breast milk, as some studies detected sucralose and acesulfame-K in this fluid, even in mothers who claimed not to consume them.
However, the real impact of NCS exposure during the neonatal period on the child health has been few studied.
Therefore, the aim of this study is to determine the concentration of NCSs in samples of amniotic liquid and breastmilk and to correlate these data with the NCS intake by the mothers.
Mothers/children will be classified in quintiles according to the results obtained.
In the children from quintiles 1 and 5, we will also study whether neonatal exposure to NCSs may affect the sweet taste threshold and the preferences for this taste, the levels of salivary insulin and the weight gain in the first year.
Breastmilk microbiota and child fecal microbiota will be also evaluated.
Study Overview
Status
Unknown
Study Type
Observational
Enrollment (Anticipated)
315
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Martin Gotteland, PhD
- Phone Number: 56-229786977
- Email: mgottela@med.uchile.cl
Study Contact Backup
- Name: Bielka Carvajal, RM, MaSc
- Phone Number: 56-229786611
- Email: bielka.carvajal@gmail.com
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 40 years (Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
315 dyades mother/child recruited at the San Jose Hospital Maternity
Description
Inclusion Criteria:
- Women with at least 36 weeks of gestation
- Spanish-speaking
- Elective cesarean delivery
Exclusion Criteria:
- Multiple pregnancy
- Type-2 diabetes
- Intelectual disability
- Presence of infectious disease compatible with chorio-amnionitis or immunosupression
- Newborns with serious pathologies affecting their growth
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Mothers with breastmilk NCSs
Time Frame: One month post-partum
|
Proportion of mothers with detectable NCSs in their breastmilk
|
One month post-partum
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Mothers with amniotic liquid NCSs
Time Frame: At delivery
|
Proportion of mothers with detectable NCSs in their amniotic liquid
|
At delivery
|
Consumption of NCSs by the mothers
Time Frame: At recruitment (in the last month of pregnancy) and at 1 mont post-partum
|
Daily intake (mg/d) of sucralose, acesulfame-K, cyclamate, saccharin and stevia evaluated through a validated consumer trend survey
|
At recruitment (in the last month of pregnancy) and at 1 mont post-partum
|
Pregnancy complications
Time Frame: At delivery
|
Percentages of mothers with preclampsia, hypertension, gestacional diabetes, infections, or preterm labor
|
At delivery
|
Breastmilk concentrations of NCSs
Time Frame: One month post-partum
|
Concentrations of sucralose, acesulfame-K, cyclamate, saccharin, steviol in breastmilk samples
|
One month post-partum
|
Amniotic liquid concentrations of NCSs
Time Frame: At delivery
|
Concentrations of sucralose, acesulfame-K, cyclamate, saccharin, steviol in amniotic liquid samples
|
At delivery
|
Sweet taste of breastmilk
Time Frame: One month post-partum
|
Intensity (arbitrary units) of sweet taste in breast milk samples, as detected by e-tongue
|
One month post-partum
|
Sweet taste of amniotic liquid
Time Frame: At delivery
|
Intensity (arbitrary units) of sweet taste in amniotic liquid samples, as detected by e-tongue
|
At delivery
|
Threshold of sweet taste in children
Time Frame: 6 months
|
Determination of sweet taste threshold (lower concentration of sucrose detected) in children from quintiles 1 and 5 of classification according to the concentrations of NCS in breast milk that received
|
6 months
|
Food preferences in children
Time Frame: At 6 month of age
|
Food consumption in children from quintiles 1 and 5 of classification according to the concentrations of NCS in breast milk that receiveded,through a validated consumer trend survey
|
At 6 month of age
|
Salivary insulin in children
Time Frame: 6 months
|
Salivary concentration of insulin (pg/ml) in children from quintiles 1 and 5 of classification according to the concentrations of NCS in breast milk that they received
|
6 months
|
Infant gain weight
Time Frame: At 12 months
|
Changes in weight (kg) during the first year of life
|
At 12 months
|
Breast milk microbiota diversity
Time Frame: At one month post-partum
|
Intraindividual diversity of the breastmilk microbiota evaluated by Shannon index in samples from quintiles 1 and 5 of classification according to their NCS concentrations
|
At one month post-partum
|
Breast milk microbiota composition
Time Frame: At one month post-partum
|
Relative abundancies of the different bacterial taxa from the breastmilk microbiota, detected by high throughput sequencing, in samples from quintiles 1 and 5 of classification according to their NCS concentrations
|
At one month post-partum
|
Fecal microbiota diversity in children
Time Frame: At six months post-partum
|
Intraindividual diversity of the fecal microbiota, evaluated by Shannon index, in children from quintiles 1 and 5 of classification according to the concentrations of NCS in breast milk that they received
|
At six months post-partum
|
Fecal microbiota composition in children
Time Frame: At six months post-partum
|
Relative abundancies of the different bacterial taxa from the fecal microbiota, detected by high throughput sequencing, in children from quintiles 1 and 5 of classification according to the concentrations of NCS in breast milk that they received
|
At six months post-partum
|
Polymorphism of sweet taste receptor in children
Time Frame: At six months post-partum
|
Proportions of children presenting the different polymorphisms on the sweet taste receptor gene.
|
At six months post-partum
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Veronica Sambra, MaSc, University of Chile
- Principal Investigator: Sandra Lopez, PhD, University of Chile
- Principal Investigator: Paola Caceres, MaSc, University of Chile
- Principal Investigator: Francisco Perez, PhD, University of Chile
- Principal Investigator: Edgar Pastene, PhD, University of Concepción
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Mennella JA. Ontogeny of taste preferences: basic biology and implications for health. Am J Clin Nutr. 2014 Mar;99(3):704S-11S. doi: 10.3945/ajcn.113.067694. Epub 2014 Jan 22.
- Brown RJ, de Banate MA, Rother KI. Artificial sweeteners: a systematic review of metabolic effects in youth. Int J Pediatr Obes. 2010 Aug;5(4):305-12. doi: 10.3109/17477160903497027.
- Popkin BM, Hawkes C. Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses. Lancet Diabetes Endocrinol. 2016 Feb;4(2):174-86. doi: 10.1016/S2213-8587(15)00419-2. Epub 2015 Dec 2.
- Sylvetsky AC, Walter PJ, Garraffo HM, Robien K, Rother KI. Widespread sucralose exposure in a randomized clinical trial in healthy young adults. Am J Clin Nutr. 2017 Apr;105(4):820-823. doi: 10.3945/ajcn.116.144402. Epub 2017 Feb 22.
- Duran Aguero S, Angarita Davila L, Escobar Contreras MC, Rojas Gomez D, de Assis Costa J. Noncaloric Sweeteners in Children: A Controversial Theme. Biomed Res Int. 2018 Jan 8;2018:4806534. doi: 10.1155/2018/4806534. eCollection 2018.
- Sylvetsky A, Rother KI, Brown R. Artificial sweetener use among children: epidemiology, recommendations, metabolic outcomes, and future directions. Pediatr Clin North Am. 2011 Dec;58(6):1467-80, xi. doi: 10.1016/j.pcl.2011.09.007. Epub 2011 Oct 14.
- Ruanpeng D, Thongprayoon C, Cheungpasitporn W, Harindhanavudhi T. Sugar and artificially sweetened beverages linked to obesity: a systematic review and meta-analysis. QJM. 2017 Aug 1;110(8):513-520. doi: 10.1093/qjmed/hcx068.
- Burke MV, Small DM. Physiological mechanisms by which non-nutritive sweeteners may impact body weight and metabolism. Physiol Behav. 2015 Dec 1;152(Pt B):381-8. doi: 10.1016/j.physbeh.2015.05.036. Epub 2015 Jun 3.
- Halldorsson TI, Strom M, Petersen SB, Olsen SF. Intake of artificially sweetened soft drinks and risk of preterm delivery: a prospective cohort study in 59,334 Danish pregnant women. Am J Clin Nutr. 2010 Sep;92(3):626-33. doi: 10.3945/ajcn.2009.28968. Epub 2010 Jun 30.
- Rother KI, Sylvetsky AC, Schiffman SS. Non-nutritive sweeteners in breast milk: perspective on potential implications of recent findings. Arch Toxicol. 2015 Nov;89(11):2169-71. doi: 10.1007/s00204-015-1611-9. Epub 2015 Oct 14. No abstract available.
- Azad MB, Sharma AK, de Souza RJ, Dolinsky VW, Becker AB, Mandhane PJ, Turvey SE, Subbarao P, Lefebvre DL, Sears MR; Canadian Healthy Infant Longitudinal Development Study Investigators. Association Between Artificially Sweetened Beverage Consumption During Pregnancy and Infant Body Mass Index. JAMA Pediatr. 2016 Jul 1;170(7):662-70. doi: 10.1001/jamapediatrics.2016.0301.
- Joseph PV, Reed DR, Mennella JA. Individual Differences Among Children in Sucrose Detection Thresholds: Relationship With Age, Gender, and Bitter Taste Genotype. Nurs Res. 2016 Jan-Feb;65(1):3-12. doi: 10.1097/NNR.0000000000000138.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Anticipated)
July 1, 2019
Primary Completion (Anticipated)
July 1, 2020
Study Completion (Anticipated)
July 1, 2021
Study Registration Dates
First Submitted
May 30, 2019
First Submitted That Met QC Criteria
May 31, 2019
First Posted (Actual)
June 3, 2019
Study Record Updates
Last Update Posted (Actual)
June 3, 2019
Last Update Submitted That Met QC Criteria
May 31, 2019
Last Verified
May 1, 2019
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- UChile-Fonis SA18I0062
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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