Impact of Perinatal Exposure to Non-caloric Sweeteners on Food Preferences and Weight Gain in the First Year of Life
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
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
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
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
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
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
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
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
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
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
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
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- UChile-Fonis SA18I0062
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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