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Not yet recruitingNCT05121935Updated Nov 16, 2021

MAL-ED Metabolic: A Follow-Up of Chronic Disease at Puberty

An observational study in Growth Failure, Intestinal Infection and Metabolic Syndrome, sponsored by University of Virginia. Not yet recruiting. Open to participants aged 9 Years to 17 Years. Per ClinicalTrials.gov, last updated 2021-11-16.

Sponsored by University of Virginia · Observational

From the registry’s dates

  • Primary completion was expected by Feb 2023, 3 years 9 months ago, but the record still lists the study as not yet recruiting.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
254
Ages
9 Years to 17 Years
Sex
All
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Study summary

The concept that the roots of cardiometabolic disease start in early life was established by Dr. David Barker, who documented relationships between low birthweight (as a marker for challenges during gestation) and later cardiovascular disease (CVD). Later work has suggested that post-natal challenges (similar to prenatal ones) may also exhibit links to later cardiometabolic disease, with the strongest links appearing to be between low weight in early childhood and later hypertension and high waist circumference (WC). However, assessments for the relationship between early childhood challenges and insulin resistance and glucose regulation have been lacking and long-term cohort studies are few. In this project, we aim to assess children initially followed as part of The Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health (MAL-ED) study, where they received frequent measures of anthropometry and laboratory assessments for intestinal pathogens. These children are now of peri-pubertal age--a time period associated with metabolic shifts. We will assess for glucose dysregulation and findings associated with the metabolic syndrome, and we will analyze potential associations between current chronic disease risk findings with early life poor growth and intestinal pathogen carriage rate. As such, we hope to uncover potential targets in early life health to reduce later chronic disease risk.

Read the detailed description

The relationship between prenatal challenges and later risk for chronic disease has been well established. Our group previously assessed the hypothesis that post-natal challenges (similar to prenatal ones) would exhibit links to later cardiometabolic disease. This was performed using retrospective data from a long-term cohort of children in Guatemala, demonstrating novel findings that higher degrees of diarrhea burden in the first 6 months of life (as a marker of nutritional and/or inflammatory stressors) were associated with a greater risk of metabolic syndrome as adults The causes of these findings are not known, though postulated mechanisms include epigenetic reprograming of metabolic rate, hormonal regulation and vascular tone. Unfortunately, long-term cohort studies are few, limiting opportunities to evaluate these links prospectively.

The Haydom Global Health Research Center in north central Tanzania represents an important rural setting for performing high-quality medical research in sub-Saharan Africa (5). The region around Haydom has a high degree of stunting and enteric pathogen carriage among a cohort of children followed in the area from 2009-2013 as part of the multi-country study "The Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health (MAL-ED)."

These children followed in Haydom during MAL-ED had monthly anthropometry and stool pathogen analysis, as well as extensive demographic data. This provides an opportunity to follow up on these children to assess for potential links between early life challenges (both enteric disease, infections and nutritional deficiencies) and later chronic disease risk, including lipid abnormalities, glucose intolerance and blood pressure elevations. The current proposal is to follow up on these children at the age of typical entry into puberty, as this is a common shift in metabolism when many children begin to exhibit metabolic abnormalities. We will assess these children for multiple measures:

  • Anthropometry (height, weight, BMI, waist circumference)
  • Assessment of pubertal stage by exam or questionnaire
  • Blood pressure
  • Lipids (LDL, HDL, triglycerides)
  • CRP
  • Oral glucose tolerance test (OGTT)
  • Fasting insulin
  • Metabolic syndrome (MetS) severity score
  • Blood saved for future epigenetic testing

We will use linear and and logistic regression to determine associations between 1) mean number of monthly pathogens (individual pathogens and in aggregate) and 2) reported symptoms (fever, cough, diarrhea), with multiple MetS-related outcomes: BMI percentile, WC, fasting insulin, 2-hour glucose following OGTT, triglycerides, HDL cholesterol, normalized BP and a MetS diagnosis.

The underlying hypothesis is that there will be consistent links between features of MetS (in particular blood pressure, waist circumference and insulin resistance) with 1) enteric pathogen burden (overall and for particularly virulent pathogens such as Enterotoxigenic E.coli) and 2) poor early life growth.

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Conditions studied

  • Growth Failure
  • Intestinal Infection
  • Metabolic Syndrome
  • Glucose Intolerance
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In context

Failure to Thrive

84 studies on the registry are indexed under Failure to Thrive; 12 are open to participants now.

This study's planned enrollment of 254 is above the median of 165 across 24 observational studies indexed under Failure to Thrive.

Browse Failure to Thrive studies →

Lead sponsor

University of Virginia is the lead sponsor of 675 studies on the registry; 138 are open to participants now.

Of its 61 completed or terminated interventional studies of FDA-regulated products, 42 (69%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
9 Years to 17 Years
Sexes eligible
All
Sampling method
Non-probability sample

Study population

This is a follow-up study of children who were originally in the MAL-ED cohort.

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

  • Participated in original MAL-ED cohort

Exclusion criteria

Exclusion Criteria:

  • Did not participate in original MAL-ED cohort
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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
254 participants (estimated)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • MAL-ED cohort

    Children initially followed from birth through 2 years old in the MAL-ED study (with some additional assessments in follow-up studies since then).

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What researchers measure

Primary outcomes

  1. Current Systolic BP--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current systolic BP z-score vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

Secondary outcomes

  1. Current Systolic BP--relationship to BMI z-score at age 2 years

    Regression analysis of current systolic BP z-score vs. BMI z-score at age 2 years (from MAL-ED), adjusted for current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

  2. Current Diastolic BP--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current diastolic BP z-score vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  3. Current Diastolic BP--relationship to BMI z-score at age 2 years

    Regression analysis of current diastolic BP z-score vs. BMI z-score at age 2 years (from MAL-ED), adjusted for current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

  4. Current BMI z-score--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current BMI z-score vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  5. Current waist circumference--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current waist circumference vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  6. Metabolic syndrome (MetS) severity score--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current MetS severity z-score vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  7. Current metabolic syndrome (MetS) severity score--relationship to BMI z-score at age 2 years

    Regression analysis of current MetS severity z-score vs. number enteric pathogens by age 2 years (from MAL-ED), adjusted by current waist circumference

    Time frame: Measured during current study (1 year +/- 3 months)

  8. Current glucose from oral glucose tolerance test (OGTT) at 2 hours--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current 2-hour OGTT glucose vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  9. Current glucose from oral glucose tolerance test (OGTT) at 2 hours--relationship to BMI z-score at age 2 years

    Regression analysis of current 2-hour OGTT glucose vs. BMI z-score at age 2 years (from MAL-ED), adjusted by current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

  10. Current fasting triglycerides--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current ln(triglycerides) vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  11. Current fasting triglycerides--relationship to BMI z-score at age 2 years

    Regression analysis of current ln(triglycerides) vs. BMI z-score at age 2 years (from MAL-ED), adjusted by current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

  12. Current HDL cholesterol--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current HDL cholesterol vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  13. Current HDL cholesterol--relationship to BMI z-score at age 2 years

    Regression analysis of current HDL cholesterol vs. BMI z-score at age 2 years (from MAL-ED), adjusted by current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

  14. Current fasting glucose--relationship to number of enteric pathogens by age 2 years

    Regression analysis of current fasting glucose vs. number enteric pathogens by age 2 years (from MAL-ED)

    Time frame: Measured during current study (1 year +/- 3 months)

  15. Current fasting glucose--relationship to BMI z-score at age 2 years

    Regression analysis of current fasting glucose vs. BMI z-score at age 2 years (from MAL-ED), adjusted by current BMI z-score

    Time frame: Measured during current study (1 year +/- 3 months)

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Study locations

No study locations are listed for this record.

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References and documents

Publications

  • DeBoer MD, Lima AA, Oria RB, Scharf RJ, Moore SR, Luna MA, Guerrant RL. Early childhood growth failure and the developmental origins of adult disease: do enteric infections and malnutrition increase risk for the metabolic syndrome? Nutr Rev. 2012 Nov;70(11):642-53. doi: 10.1111/j.1753-4887.2012.00543.x. PubMed 23110643 ↗
  • DeBoer MD, Chen D, Burt DR, Ramirez-Zea M, Guerrant RL, Stein AD, Martorell R, Luna MA. Early childhood diarrhea and cardiometabolic risk factors in adulthood: the Institute of Nutrition of Central America and Panama Nutritional Supplementation Longitudinal Study. Ann Epidemiol. 2013 Jun;23(6):314-20. doi: 10.1016/j.annepidem.2013.03.012. Epub 2013 Apr 19. PubMed 23608305 ↗
  • Mduma ER, Gratz J, Patil C, Matson K, Dakay M, Liu S, Pascal J, McQuillin L, Mighay E, Hinken E, Ernst A, Amour C, Mvungi R, Bayyo E, Zakaria Y, Kivuyo S, Houpt ER, Svensen E. The etiology, risk factors, and interactions of enteric infections and malnutrition and the consequences for child health and development study (MAL-ED): description of the Tanzanian site. Clin Infect Dis. 2014 Nov 1;59 Suppl 4:S325-30. doi: 10.1093/cid/ciu439. PubMed 25305305 ↗
  • Scharf RJ, Rogawski ET, Murray-Kolb LE, Maphula A, Svensen E, Tofail F, Rasheed M, Abreu C, Vasquez AO, Shrestha R, Pendergast L, Mduma E, Koshy B, Conaway MR, Platts-Mills JA, Guerrant RL, DeBoer MD. Early childhood growth and cognitive outcomes: Findings from the MAL-ED study. Matern Child Nutr. 2018 Jul;14(3):e12584. doi: 10.1111/mcn.12584. Epub 2018 Feb 2. PubMed 29392824 ↗

Individual participant data

Plan to share: No

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Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Start is estimated for Feb 2022; primary completion for Feb 2023, 12 months later.

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

Registered
Nov 3, 2021
First posted
Nov 16, 2021
StartEst.
Feb 1, 2022
Primary completionEst.
Feb 1, 2023
CompletionEst.
Feb 1, 2031
Last update
Nov 16, 2021
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 Nov 16, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT05121935
Collaborators
Haydom Lutheran Hospital
Responsible party
Mark D. DeBoer, MD, MSc., MCR (Professor of Pediatrics, Division of Pediatric Endocrinology, University of Virginia) — Principal investigator
First posted
Nov 16, 2021
Start date
Feb 1, 2022 (estimated)
Primary completion
Feb 1, 2023 (estimated)
Completion
Feb 1, 2031 (estimated)
Last update
Nov 16, 2021

Study contacts

Mark D DeBoer, MD
Contact
deboer@virginia.edu
14349245956
Mark D DeBoer, MD
principal investigator · University of Virginia
Estomih Mduma, MPH
study director · Haydom Global Health Research Centre

Oversight

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

Not currently enrolling

This study is not yet recruiting, as verified in Nov 2021. You cannot join it, but the record below documents what was studied.

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