Evidence map›Paper›PMID 35542387›Full record

ArticleCurrent developments in nutrition2022

Soluble Receptor for Advanced Glycation End Products (sRAGE) Isoforms Predict Changes in Resting Energy Expenditure in Adults with Obesity during Weight Loss.

Collin J Popp, Boyan Zhou, Michaele B Manigrasso, Huilin Li, Margaret Curran, Lu Hu, David E St-Jules, José O Alemán, Sally M Vanegas, Melanie Jay and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03336411 (Personalized Technology-Supported Counseling to Reduce Glycemic Response in Dietary Weight Loss), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03336411 nacompletednot on this map

Personalized Technology-Supported Counseling to Reduce Glycemic Response in Dietary Weight Loss: The Personal Diet Study

TypeinterventionalSponsorNYU Langone HealthRan2017 to 2021Enrolled269ConditionsPre-diabetes, Overweight and ObesityArmsmHealth, Personalized mHealth
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 2 countries.

Collin J PoppCenter for Healthful Behavior Change, Department of Population Health, New York University Langone Health, New York, NY, USA.
Boyan ZhouDivision of Biostatistics, Department of Population Health, New York University Langone Health, New York, NY, USA.
Michaele B ManigrassoDiabetes Research Program, Department of Medicine, New York University Langone Health, New York, NY, USA.
Huilin LiDivision of Biostatistics, Department of Population Health, New York University Langone Health, New York, NY, USA.ORCID https://orcid.org/0000-0002-8288-7068
Margaret CurranCenter for Healthful Behavior Change, Department of Population Health, New York University Langone Health, New York, NY, USA.
Lu HuCenter for Healthful Behavior Change, Department of Population Health, New York University Langone Health, New York, NY, USA.
David E St-JulesDepartment of Nutrition, University of Nevada, Reno, Reno, NV, USA.
José O AlemánDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health, New York, NY, USA.
Sally M VanegasDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health, New York, NY, USA.
Melanie JayDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health, New York, NY, USA.
Michael BergmanDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, New York University Langone Health, New York, NY, USA.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Mary A SevickCenter for Healthful Behavior Change, Department of Population Health, New York University Langone Health, New York, NY, USA.
Ann M SchmidtDiabetes Research Program, Department of Medicine, New York University Langone Health, New York, NY, USA.ORCID https://orcid.org/0000-0001-8902-070X
NYU Langone Health · USUniversity of Nevada, Reno · USWeizmann Institute of Science · IL

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY E. PESSIN · 2015 to 2026
$27.7M
Metabolic Flux Analysis of Obesity-Associated Inflammation in Weight LossK08DK117064 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ALEMAN, JOSE ORLANDO · 2019 to 2022
$823k
NIDDK NIH HHS K08 DK117064NIDDK NIH HHS P30 DK020541
6 · The paper itself

Abstract

Background: Accruing evidence indicates that accumulation of advanced glycation end products (AGEs) and activation of the receptor for AGEs (RAGE) play a significant role in obesity and type 2 diabetes. The concentrations of circulating RAGE isoforms, such as soluble RAGE (sRAGE), cleaved RAGE (cRAGE), and endogenous secretory RAGE (esRAGE), collectively sRAGE isoforms, may be implicit in weight loss and energy compensation resulting from caloric restriction. Objectives: We aimed to evaluate whether baseline concentrations of sRAGE isoforms predicted changes (∆) in body composition [fat mass (FM), fat-free mass (FFM)], resting energy expenditure (REE), and adaptive thermogenesis (AT) during weight loss. Methods: Data were collected during a behavioral weight loss intervention in adults with obesity. At baseline and 3 mo, participants were assessed for body composition (bioelectrical impedance analysis) and REE (indirect calorimetry), and plasma was assayed for concentrations of sRAGE isoforms (sRAGE, esRAGE, cRAGE). AT was calculated using various mathematical models that included measured and predicted REE. A linear regression model that adjusted for age, sex, glycated hemoglobin (HbA1c), and randomization arm was used to test the associations between sRAGE isoforms and metabolic outcomes. Results: Participants ( Conclusions: This study demonstrates a novel link between RAGE and energy expenditure in human participants undergoing weight loss.This trial was registered at clinicaltrials.gov as NCT03336411.

Indexed as

caloric restrictionenergy balancemetabolic adaptationprecision nutritionresting metabolic rate

Identifiers

PMID35542387
PMCPMC9071542
OpenAlexW4221049507

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.