Dietary Modulation of Gut Microbiota in Overweight/Obese Adolescents and COVID-19 Infection (DIVINE)
Dietary Modulation of Gut Microbiota on Nutritional Status and COVID-19 Infection in Adolescents: Gut-Lung-Axis
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The adolescence period is the transition from childhood to adulthood. Adolescents are vulnerable to many biomedical exposures, such as a low-quality diet, fewer fruits and vegetable intake, low physical activities, smoking habits, and alcohol consumption; and non-biomedical aspects such as mental depression, parental distress, and household income, which were known to be associated with increased risk of many health outcomes. Obese adolescents are vulnerable to many infections, poor disease outcomes and complications, and lower antibody response to vaccinations. Studies that have investigated Covid-19 incidence in overweight and obese individuals are still scarce. Adolescence is also a sensitive period to microbial change or dysbiosis due to practicing poor diet, low physical activity, inadequate sleep, stress, and substance use (smoking, drugs, and alcohol). Despite the existing prevalence of SARS-COV-2 infections is increasing in adolescents, and the vaccine program is not prioritized in this population, making the prevention strategy for SARS-COV-2 infection may become less effective in this population. Besides, low-quality diet and lifestyle habits and family cluster transmission at home are often not fully addressed in the policy. These factors may be the contributors to the potential highest COVID-19 exposure for children and adolescents. Since exposure among adolescents is linked to serious adverse health effects, effective interventions to improve nutritional outcomes and reduce the risk of COVID-19 infection will provide substantial long-term returns. However, such interventions for adolescents in Indonesia and globally are lacking.
This study is a randomized clinical trial (RCT) and placebo parallel controlled study. The research will be conducted in junior and senior high schools in Jakarta, Surabaya, and Yogyakarta, Indonesia.
In light of COVID-19 outbreak, if face-to-face activities are permitted by (1) national government (Indonesian Ministry of Health), (2) local government (DKI Jakarta), (3) the university, (4) Data Safety Monitoring Board, and (5) by consent of the subject, then the activities need to be strictly adjusted with the COVID-19 prevention measures for both personnel and subjects. All personnel and subjects who will be involved in the activities are required to fill out the COVID-19 symptom screening form prior to the visit and have been vaccinated with a complete dose.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Rina Agustina, PhD
- Phone Number: 201052 +622129189160
- Email: dr.rinaagustina@gmail.com
Study Contact Backup
- Name: Rahyussalim Rahyussalim, PhD
- Phone Number: 201908 +622129189160
- Email: manajer.riset.fkui1@gmail.com
Study Locations
-
-
DKI Jakarta
-
Jakarta Pusat, DKI Jakarta, Indonesia, 10430
- Recruiting
- Department of Nutrition (FKUI-RSCM); and Human Nutrition Research Center, Indonesian Medical Education Research Institute (HNRC-IMERI) Faculty of Medicine, Universitas Indonesia
-
Sub-Investigator:
- Erfi Prafiantini, MSc
-
Sub-Investigator:
- Dian N Chandra, PhD
-
Sub-Investigator:
- Alfi R Putri, MSc
-
Sub-Investigator:
- Mira Mutiyani, MSc
-
Sub-Investigator:
- Emy Huriyati, PhD
-
Sub-Investigator:
- Wahyu Damayanti, MSc
-
Sub-Investigator:
- Ainun Nisa, SGz
-
Sub-Investigator:
- Purwo S Rejeki, PhD
-
Sub-Investigator:
- Lilik Djuari, PhD
-
Sub-Investigator:
- Adi Pranoto, MKes
-
Sub-Investigator:
- Fhadilla Amelia, MSc
-
Principal Investigator:
- Rina Agustina, PhD
-
Contact:
- Rina Agustina, PhD
- Phone Number: +6221 2912477
- Email: dr.rinaagustina@gmail.com
-
Sub-Investigator:
- Julie Bines, PhD
-
Sub-Investigator:
- Susan Sawyer, PhD
-
Sub-Investigator:
- Murdani Abdullah, PhD
-
Sub-Investigator:
- Dwiana Ocviyanti, PhD
-
Sub-Investigator:
- Karina R Ekawidyani, PhD
-
Sub-Investigator:
- Triska S Nindya, PhD
-
Sub-Investigator:
- Mohammad Juffrie, PhD
-
Sub-Investigator:
- Dwi Susanti, PhD
-
Sub-Investigator:
- Alpha F Athiyyah, PhD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- living in Jakarta, Surabaya, and Yogyakarta City for at least 6 months permanently;
- apparently healthy;
- male and female, age 12-17 years old;
- overweight or obese (BMI-for-age z-score >+1SD);
- have completed at least two dosages of COVID-19 vaccine, the vaccine must be CoronaVac® (Sinovac);
- minimal 6 months post vaccinated prior to recruitments.
- parents willing to sign the informed consent and adolescents give informed assent;
- Must have an active health insurance, for instance BPJS or similar health insurance.
Exclusion Criteria:
- having a history of COVID-19 infection within the last month confirmed by PCR or antigen from health care facilities or independent laboratory;
- having a history of chronic and non-communicable diseases, congenital diseases, and disabilities;
- reported current diagnosed as suspected active Tuberculosis (primary lung TB, miliary TB, bleeding cough bone TB, meningitis TB);
- having a history of gastrointestinal or malabsorption disorder (such as celiac disease and inflammatory bowel disease) within the last three months or during the study;
- taking antibiotics during 2 weeks before the start of the study (adolescents will be included after 3 weeks of last antibiotic intake);
- taking other medications or having diseases that may influence the immune response - i.e. immune deficiencies, immunosuppressants medications, blood transfusion or other blood products;
- taking insulin and/or anti-dyslipidemia medication;
- being pregnant and/or breastfeeding.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Quadruple
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention
220 overweight/obese adolescents will be given Probiotics and counselling on healthy eating, physical activity, and psychosocial stimulation.
|
Combination of 3 probiotic strains: Lactobacillus rhamnosus (LGG), Bifidobacterium animalis subsp.
lactis (BB-12), and Lactobacillus acidophilus (LA-5)
Counselling on healthy eating, physical activity, and psychosocial stimulation.
|
|
Placebo Comparator: Control
220 overweight/obese adolescents will be given placebo probiotics and counselling on healthy eating, physical activity, and psychosocial stimulation.
|
Counselling on healthy eating, physical activity, and psychosocial stimulation.
Maltodextrin
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
BMI-for-age z-scores (BAZ)
Time Frame: 5, 10, 15, and 20 weeks
|
Change in BAZ obtain from anthropometric measurements, i.e., weight (kg) and height (m) converted to BMI
|
5, 10, 15, and 20 weeks
|
|
Immunoglobulin G (IgG) specific to SARS-COV-2 titer concentrations
Time Frame: 10 and 20 weeks
|
Change in IgG specific to SARS-COV-2 titer concentrations assessed by electro chemiluminescence immunoassay (ECLIA)
|
10 and 20 weeks
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
α-gut microbiota diversity
Time Frame: 20 weeks
|
Change in α-diversity measured by 1) Chao1, 2) phylogenetic diversity, and 3) the Shannon index.
|
20 weeks
|
|
β-gut microbiota diversity
Time Frame: 20 weeks
|
Change in β -diversity: as the variability in community composition (the identity of taxa observed) among samples
|
20 weeks
|
|
Monoclonal antibody affinity against SARS-COV-2
Time Frame: 10 and 20 weeks
|
Change in equilibrium dissociation constant (KD) of monoclonal antibody against SARS-COV-2 spike protein measured by competitive ELISA
|
10 and 20 weeks
|
|
Secretory Immunoglobulin A (sIgA) specific to SARS-COV-2 titer concentrations
Time Frame: 10 and 20 weeks
|
Change in sIgA specific to SARS-COV-2 titer concentrations assessed by competitive ELISA
|
10 and 20 weeks
|
|
Dietary quality
Time Frame: 5, 10, 15, and 20 weeks
|
Change in score of dietary quality assessed by Healthy Eating Index 2015 from 24 hour recalls data
|
5, 10, 15, and 20 weeks
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
SARS-COV-2 infection
Time Frame: 20 weeks
|
Changes in proportion of symptomatic COVID-19 and positive PCR
|
20 weeks
|
|
Body height
Time Frame: 5, 10, 15, and 20 weeks
|
Changes in height-for-age z-score by anthropometric measurement
|
5, 10, 15, and 20 weeks
|
|
Abdominal obesity (waist circumference)
Time Frame: 5, 10, 15, and 20 weeks
|
Changes in waist circumference by anthropometric measurement
|
5, 10, 15, and 20 weeks
|
|
Abdominal obesity (waist-hip ratio)
Time Frame: 5, 10, 15, and 20 weeks
|
Changes in waist-hip ratio by anthropometric measurement
|
5, 10, 15, and 20 weeks
|
|
Middle upper arm circumference
Time Frame: 5, 10, 15, and 20 weeks
|
Changes in middle upper arm circumference by anthropometric measurement
|
5, 10, 15, and 20 weeks
|
|
Immunoglobulin M (IgM) against SARS-Cov-2
Time Frame: 10 and 20 weeks
|
Changes in IgM titer concentrations assessed by electro chemiluminescence immunoassay (ECLIA)
|
10 and 20 weeks
|
|
Neutralizing antibody against SARS-Cov-2
Time Frame: 10 and 20 weeks
|
Changes in total neutralizing antibody titer assessed by Surrogate Virus Neutralization Test (sVNT)
|
10 and 20 weeks
|
|
Gut microbiota profiling
Time Frame: 20 weeks
|
Changes in composition of gut microbiota assessed by next-generation sequencing (NGS)
|
20 weeks
|
|
Short Chain Fatty Acids (SCFA)
Time Frame: 20 weeks
|
Change in concentration of the SCFA by gas chromatograph
|
20 weeks
|
|
Physical activity
Time Frame: 5, 10, 15, and 20 weeks
|
Changes in International Physical Activity Questionnaire for Adolescent (IPAQ-A) score, the minimum is 0 metabolic equivalents of task (MET) minutes/week, and the maximum score is 3000 MET minutes/week.
Higher score means better outcome.
|
5, 10, 15, and 20 weeks
|
|
Body image
Time Frame: 20 weeks
|
Changes in Body Shape Questionnaire-34 (BSQ-34) score.
The minimum score is 34, and the maximum is 204.
Higher score means worse outcome
|
20 weeks
|
|
Depression
Time Frame: 20 weeks
|
Changes in Patient Health Questionnaire for Adolescents (PHQ-A) score.
The minimum score is 0, and the maximum is 27.
Higher scores mean worse outcome.
|
20 weeks
|
|
Self-esteem
Time Frame: 20 weeks
|
Changes in Rosenberg Self Esteem Scale.
The minimum score is 0, and the maximum score is 37. Higher scores mean better outcome.
|
20 weeks
|
|
Quality of life score
Time Frame: 20 weeks
|
Changes in the score of Youth Quality of Life for adolescents-Research version (YQOL-R).
The minimum score is 0, and the maximum score is 100.
Higher scores mean better outcome.
|
20 weeks
|
|
Morbidity
Time Frame: 5, 10, 15, and 20 weeks
|
Type and frequency of illness
|
5, 10, 15, and 20 weeks
|
|
Mortality
Time Frame: 5, 10, 15, and 20 weeks
|
Type and frequency of illness
|
5, 10, 15, and 20 weeks
|
|
Wechsler Intelligence Scale for Children score
Time Frame: 20 weeks
|
Changes in Wechsler Intelligence Scale for Children (WISC).
The minimum score is 70, and the maximum score is 159.
Higher scores mean better outcome.
|
20 weeks
|
|
Brain Derived Neurotropic Factor level
Time Frame: 20 weeks
|
Changes in level of Brain Derived Neurotropic Factor (BDNF) assessed by ELISA
|
20 weeks
|
|
Anemia status
Time Frame: 20 weeks
|
Changes in hemoglobin concentration
|
20 weeks
|
|
Gut integrity (zonulin)
Time Frame: 20 weeks
|
Changes in the level of serum zonulin assessed by ELISA and Changes in the level of fecal zonulin assessed by ELISA
|
20 weeks
|
|
Gut integrity (occludin)
Time Frame: 20 weeks
|
Changes in the level of fecal occludin assessed by ELISA
|
20 weeks
|
|
Gut inflammation
Time Frame: 20 weeks
|
Changes in concentration of fecal calprotectin assessed by ELISA
|
20 weeks
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Rina Agustina, PhD, Dep of Nutrition and Human Nutrition Research Center, IMERI, Fac of Medicine Universitas Indonesia
Publications and helpful links
General Publications
- Agustina R, Kok FJ, van de Rest O, Fahmida U, Firmansyah A, Lukito W, Feskens EJ, van den Heuvel EG, Albers R, Bovee-Oudenhoven IM. Randomized trial of probiotics and calcium on diarrhea and respiratory tract infections in Indonesian children. Pediatrics. 2012 May;129(5):e1155-64. doi: 10.1542/peds.2011-1379. Epub 2012 Apr 9.
- Petta I, Fraussen J, Somers V, Kleinewietfeld M. Interrelation of Diet, Gut Microbiome, and Autoantibody Production. Front Immunol. 2018 Mar 6;9:439. doi: 10.3389/fimmu.2018.00439. eCollection 2018.
- Rajput S, Paliwal D, Naithani M, Kothari A, Meena K, Rana S. COVID-19 and Gut Microbiota: A Potential Connection. Indian J Clin Biochem. 2021 Jul;36(3):266-277. doi: 10.1007/s12291-020-00948-9. Epub 2021 Jan 21.
- Abenavoli L, Scarpellini E, Colica C, Boccuto L, Salehi B, Sharifi-Rad J, Aiello V, Romano B, De Lorenzo A, Izzo AA, Capasso R. Gut Microbiota and Obesity: A Role for Probiotics. Nutrients. 2019 Nov 7;11(11):2690. doi: 10.3390/nu11112690.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
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
- Nutrition Disorders
- Overnutrition
- Body Weight
- Respiratory Tract Infections
- Infections
- RNA Virus Infections
- Virus Diseases
- Respiratory Tract Diseases
- Lung Diseases
- Pneumonia, Viral
- Pneumonia
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- Overweight
- Obesity
- COVID-19
- Pediatric Obesity
Other Study ID Numbers
Other Study ID Numbers
- DIVINE
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
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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