# Teen Longitudinal Assessment of Bariatric Surgery (Teen LABS) Research Project

> **NIH NIH UM1** · UNIVERSITY OF COLORADO DENVER · 2020 · $1

## Abstract

Abstract
This application requests renewal of the current grant supporting the five clinical centers that
comprise the Teen-LABS (TL) consortium. This multicenter, prospective, observational study of
the risks and benefits bariatric surgery successfully recruited 242 consecutive adolescents
undergoing bariatric surgery at participating clinical centers and has retained these subjects for
long-term follow up. By the end of the current funding period (August 2016), most will have
completed 5 years of follow-up. A renewal of funding will provide an opportunity to examine long-
term outcomes of Roux en Y gastric bypass and sleeve gastrectomy, the most commonly used
operations today. Collection of additional longitudinal measures from years 6 to10 will importantly
document durability of weight loss and comorbidity resolution, quality of life, micronutrient status,
and will identify long-term adverse events. Continued collection of biospecimens will continue to
drive new discovery by investigators utilizing the ancillary studies mechanism. Addition of new
measures to study bone health, cognitive function, and behavioral patterns will further enhance
the value of an extension of the study.

## Key facts

- **NIH application ID:** 10004606
- **Project number:** 5UM1DK072493-16
- **Recipient organization:** UNIVERSITY OF COLORADO DENVER
- **Principal Investigator:** THOMAS HARRIS INGE
- **Activity code:** UM1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1
- **Award type:** 5
- **Project period:** 2011-09-23 → 2021-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10004606

## Citation

> US National Institutes of Health, RePORTER application 10004606, Teen Longitudinal Assessment of Bariatric Surgery (Teen LABS) Research Project (5UM1DK072493-16). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10004606. Licensed CC0.

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