NCT06214221

Brief Summary

Metabolic syndrome and resulting downstream health effects remains a growing health concern. In published trials, the use of continuous glucose monitoring (CGM) assists behavioral changes efforts, leading to improved adherence and results from diet and exercise changes in individuals with obesity. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools that help participants in the pursuit of weight change goals. The investigators hypothesize that the use of CGM data and targeted coaching and nutrition education will assist with weight optimization goals in the general (non-diabetic) population using the Signos mHealth platform, with associated health benefits.

Trial Health

55
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
380

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jan 2024

Typical duration for not_applicable

Geographic Reach
1 country

5 active sites

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 2, 2024

Completed
7 days until next milestone

First Submitted

Initial submission to the registry

January 9, 2024

Completed
10 days until next milestone

First Posted

Study publicly available on registry

January 19, 2024

Completed
12 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2024

Completed
1.3 years until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2026

Completed
Last Updated

October 8, 2024

Status Verified

October 1, 2024

Enrollment Period

12 months

First QC Date

January 9, 2024

Last Update Submit

October 4, 2024

Conditions

Outcome Measures

Primary Outcomes (2)

  • Responder Rate

    Investigators will measure how many participants successfully reached their weight management goals by the end of 6 months. This 'Responder Rate' tells us the percentage of people in our study who effectively managed their weight using the methods we provided, whether it's through the Signos System or standard lifestyle education.

    6 Months

  • Average Total Body Weight Loss (TBWL%)

    Investigators will measure how much weight, on average, participants have lost after 6 months in the study. This will be calculated as a percentage of their initial weight. This measure helps us understand the effectiveness of the Signos System in helping participants reduce their body weight over a 6-month period.

    6 Months

Study Arms (2)

Signos System

EXPERIMENTAL

For all consented participants, the Signos app will use CGM data to provide recommendations customized to users for promoting general health and wellness.

Device: Signos System

Standard Lifestyle Education

ACTIVE COMPARATOR

The "Active Comparator: Standard Lifestyle Education" arm in the clinical trial refers to a control group that receives conventional lifestyle modification advice instead of the experimental Signos System.

Other: Standard Lifestyle Education

Interventions

The intervention involves the use of the Signos System, a combination of a proprietary software application with a continuous glucose monitor (CGM), to manage weight in overweight and obese adults.

Signos System

In the "Standard Lifestyle Education" arm, participants receive conventional advice on diet and exercise, focusing on general healthy lifestyle habits to manage weight.

Standard Lifestyle Education

Eligibility Criteria

Age22 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • To join our study, participant need to:
  • Be at least 22 years old.
  • Be overweight or obese, which we define as having a Body Mass Index (BMI) between 25 and 40.
  • HbA1c test result should be below 6.5% at the start of the study.
  • Have and know how to use a smartphone that's compatible with the Signos app.
  • Be able to understand, speak, and read English well enough to participate fully in the study.

You may not qualify if:

  • Participant can't join our study if participant has:
  • Have Type 1 or Type 2 diabetes.
  • Are already using a device to monitor glucose level.
  • Have severe allergies to the sticky part of glucose monitors.
  • Suffer from an eating disorder like anorexia or bulimia.
  • Are currently taking certain medications for diabetes or weight loss.
  • Have had or are planning to have weight loss surgery.
  • Have major health issues like severe kidney disease, untreated thyroid problems, or skin conditions where the glucose monitor would be placed.
  • Have been part of another clinical trial recently.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (5)

Helios Clinical Research (Phoenix)

Phoenix, Arizona, 85028, United States

Location

Diablo Clinical Research

Walnut Creek, California, 94598, United States

Location

Segal Trials

North Miami, Florida, 33161, United States

Location

Helios Clinical Research

Houston, Texas, 77008, United States

Location

Seattle Clinical Research

Seattle, Washington, 98105, United States

Location

Related Publications (14)

  • Hall H, Perelman D, Breschi A, Limcaoco P, Kellogg R, McLaughlin T, Snyder M. Glucotypes reveal new patterns of glucose dysregulation. PLoS Biol. 2018 Jul 24;16(7):e2005143. doi: 10.1371/journal.pbio.2005143. eCollection 2018 Jul.

    PMID: 30040822BACKGROUND
  • Adams OP. The impact of brief high-intensity exercise on blood glucose levels. Diabetes Metab Syndr Obes. 2013;6:113-22. doi: 10.2147/DMSO.S29222. Epub 2013 Feb 27.

    PMID: 23467903BACKGROUND
  • Zeevi D, Korem T, Zmora N, Israeli D, Rothschild D, Weinberger A, Ben-Yacov O, Lador D, Avnit-Sagi T, Lotan-Pompan M, Suez J, Mahdi JA, Matot E, Malka G, Kosower N, Rein M, Zilberman-Schapira G, Dohnalova L, Pevsner-Fischer M, Bikovsky R, Halpern Z, Elinav E, Segal E. Personalized Nutrition by Prediction of Glycemic Responses. Cell. 2015 Nov 19;163(5):1079-1094. doi: 10.1016/j.cell.2015.11.001.

    PMID: 26590418BACKGROUND
  • Baron AD. Impaired glucose tolerance as a disease. Am J Cardiol. 2001 Sep 20;88(6A):16H-9H. doi: 10.1016/s0002-9149(01)01832-x.

    PMID: 11576521BACKGROUND
  • Brown A, McArdle P, Taplin J, Unwin D, Unwin J, Deakin T, Wheatley S, Murdoch C, Malhotra A, Mellor D. Dietary strategies for remission of type 2 diabetes: A narrative review. J Hum Nutr Diet. 2022 Feb;35(1):165-178. doi: 10.1111/jhn.12938. Epub 2021 Sep 1.

    PMID: 34323335BACKGROUND
  • Chin SO, Keum C, Woo J, Park J, Choi HJ, Woo JT, Rhee SY. Successful weight reduction and maintenance by using a smartphone application in those with overweight and obesity. Sci Rep. 2016 Nov 7;6:34563. doi: 10.1038/srep34563.

    PMID: 27819345BACKGROUND
  • Ebbeling CB, Knapp A, Johnson A, Wong JMW, Greco KF, Ma C, Mora S, Ludwig DS. Effects of a low-carbohydrate diet on insulin-resistant dyslipoproteinemia-a randomized controlled feeding trial. Am J Clin Nutr. 2022 Jan 11;115(1):154-162. doi: 10.1093/ajcn/nqab287. Erratum In: Am J Clin Nutr. 2022 Jan 11;115(1):310. doi: 10.1093/ajcn/nqab372.

    PMID: 34582545BACKGROUND
  • Ehrhardt N, Al Zaghal E. Behavior Modification in Prediabetes and Diabetes: Potential Use of Real-Time Continuous Glucose Monitoring. J Diabetes Sci Technol. 2019 Mar;13(2):271-275. doi: 10.1177/1932296818790994. Epub 2018 Aug 1.

    PMID: 30066574BACKGROUND
  • The Lancet Diabetes Endocrinology. Metabolic health: a priority for the post-pandemic era. Lancet Diabetes Endocrinol. 2021 Apr;9(4):189. doi: 10.1016/S2213-8587(21)00058-9. Epub 2021 Mar 4. No abstract available.

    PMID: 33676599BACKGROUND
  • Galderisi A, Giannini C, Weiss R, Kim G, Shabanova V, Santoro N, Pierpont B, Savoye M, Caprio S. Trajectories of changes in glucose tolerance in a multiethnic cohort of obese youths: an observational prospective analysis. Lancet Child Adolesc Health. 2018 Oct;2(10):726-735. doi: 10.1016/S2352-4642(18)30235-9. Epub 2018 Aug 24.

    PMID: 30236381BACKGROUND
  • Gonzalez-Rodriguez M, Pazos-Couselo M, Garcia-Lopez JM, Rodriguez-Segade S, Rodriguez-Garcia J, Tunez-Bastida C, Gude F. Postprandial glycemic response in a non-diabetic adult population: the effect of nutrients is different between men and women. Nutr Metab (Lond). 2019 Jul 17;16:46. doi: 10.1186/s12986-019-0368-1. eCollection 2019.

    PMID: 31346341BACKGROUND
  • Guyenet SJ, Schwartz MW. Clinical review: Regulation of food intake, energy balance, and body fat mass: implications for the pathogenesis and treatment of obesity. J Clin Endocrinol Metab. 2012 Mar;97(3):745-55. doi: 10.1210/jc.2011-2525. Epub 2012 Jan 11.

    PMID: 22238401BACKGROUND
  • Hamley S, Kloosterman D, Duthie T, Dalla Man C, Visentin R, Mason SA, Ang T, Selathurai A, Kaur G, Morales-Scholz MG, Howlett KF, Kowalski GM, Shaw CS, Bruce CR. Mechanisms of hyperinsulinaemia in apparently healthy non-obese young adults: role of insulin secretion, clearance and action and associations with plasma amino acids. Diabetologia. 2019 Dec;62(12):2310-2324. doi: 10.1007/s00125-019-04990-y. Epub 2019 Sep 6.

    PMID: 31489455BACKGROUND
  • Hyde PN, Sapper TN, Crabtree CD, LaFountain RA, Bowling ML, Buga A, Fell B, McSwiney FT, Dickerson RM, Miller VJ, Scandling D, Simonetti OP, Phinney SD, Kraemer WJ, King SA, Krauss RM, Volek JS. Dietary carbohydrate restriction improves metabolic syndrome independent of weight loss. JCI Insight. 2019 Jun 20;4(12):e128308. doi: 10.1172/jci.insight.128308. eCollection 2019 Jun 20.

    PMID: 31217353BACKGROUND

MeSH Terms

Conditions

OverweightObesityMetabolic SyndromeWeight Loss

Condition Hierarchy (Ancestors)

OvernutritionNutrition DisordersNutritional and Metabolic DiseasesBody WeightSigns and SymptomsPathological Conditions, Signs and SymptomsInsulin ResistanceHyperinsulinismGlucose Metabolism DisordersMetabolic DiseasesBody Weight Changes

Study Officials

  • Stephanie Kim, MD

    Signos Inc

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: In an open-label randomization model, participants and researchers both know the treatment each participant is receiving. This model involves randomly assigning participants to different treatment groups, ensuring unbiased distribution across interventions, but without concealing the nature of the treatment from either the participants or the study team.
Sponsor Type
INDUSTRY
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Clinical Trial Investigator, Signos Inc

Study Record Dates

First Submitted

January 9, 2024

First Posted

January 19, 2024

Study Start

January 2, 2024

Primary Completion

December 31, 2024

Study Completion

April 30, 2026

Last Updated

October 8, 2024

Record last verified: 2024-10

Data Sharing

IPD Sharing
Will not share

Locations