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Clinical Trial Details — Status: Withdrawn

Administrative data

NCT number NCT02668328
Other study ID # NYUmed
Secondary ID
Status Withdrawn
Phase N/A
First received December 22, 2015
Last updated October 18, 2016
Start date September 2016
Est. completion date September 2018

Study information

Verified date October 2016
Source New York University School of Medicine
Contact n/a
Is FDA regulated No
Health authority United States: Institutional Review Board
Study type Interventional

Clinical Trial Summary

The proposed study is an integrative scientific undertaking, reflecting the input of experts in the behavioral sciences, mHealth technology, computational biology, endocrinology, biochemistry, and nutrition. The project features a unique translational approach, connecting behavior and biology in an economical manner that provides mechanistic insights into the progression of type 2 diabetes (T2D) and the biologic consequences of behavior change. The project may have profound implications for the clinical management of early T2D.


Description:

T2D poses a significant public health problem. Hyperglycemia is associated with a variety of vascular complications, but clinical trials of medication regimes designed to achieve near-normal HbA1c have been mostly negative. The lack of benefit observed in these trials may be due to the fact that they targeted HbA1c rather than glucose variability, and were conducted in patients with established T2D that had already experienced complications of the disease. In early T2D, management of postprandial glycemia may be particularly important for minimization of metabolic memory effects and preservation of beta cell function. Postprandial glycemia in early T2D is largely driven by dietary intake, but research findings that guide clinicians regarding the best dietary approach to prescribe are mixed. Studies done, to-date, have used one-size-fits-all dietary regimes that do not take into consideration the person's unique glycemic response to food. The investigators know from decades of research that behavioral methods are required to engage patients in lifestyle behavior change. The investigators argue that tailoring the approach to the participant's glycemic response and gut microbiome will enhance self-efficacy in ways that cannot be achieved through standard behavioral methods alone and, in turn, reduce glycemic variability and metabolic memory effects.

Co-PI Segal et al. demonstrated that subjects have high between-subject variability in postprandial response to the same food, suggesting that universal dietary recommendations are of limited utility for controlling elevated postprandial glucose. The machine learning algorithm devised by the group integrates multidimensional data to accurately predict personalized postprandial glycemic responses. In a subsequent validation study in 100 participants, they showed that a personally-tailored intervention based on the predicted response resulted in significantly improved postprandial glycemic response, and were accompanied by beneficial changes in gut microbiota.


Recruitment information / eligibility

Status Withdrawn
Enrollment 0
Est. completion date September 2018
Est. primary completion date February 2018
Accepts healthy volunteers No
Gender Both
Age group 40 Years and older
Eligibility Inclusion Criteria:

- 5 years or less since type 2 diabetes was diagnosed

Exclusion Criteria:

- more 5 years since type 2 diabetes was diagnosed

Study Design

Intervention Model: Single Group Assignment, Masking: Open Label


Related Conditions & MeSH terms


Intervention

Behavioral:
Social Cognitive Theory Tailored Behavioral Intervention
The intervention will enhance self-efficacy

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
New York University School of Medicine

Outcome

Type Measure Description Time frame Safety issue
Primary Mean Amplitude of Glycemic Excursion (MAGE) 1 week No
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