Evidence map›Paper›PMID 33086512›Full record

Trial reportNutrients2020

Use of Metabolomic Profiling to Understand Variability in Adiposity Changes Following an Intentional Weight Loss Intervention in Older Adults.

Ellen E Quillen, Daniel P Beavers, Anderson O'Brien Cox, Cristina M Furdui, Jingyun Lee, Ryan M Miller, Hanzhi Wu, Kristen M Beavers

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 84% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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

8 authors at 1 institution in 1 country.

Ellen E QuillenInternal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Daniel P BeaversBiostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA.
Anderson O'Brien CoxProteomics and Metabolomics Shared Resource, Comprehensive Cancer Center, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Cristina M FurduiInternal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Jingyun LeeInternal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Ryan M MillerInternal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Hanzhi WuInternal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA.
Kristen M BeaversHealth and Exercise Science, Wake Forest University, Winston-Salem, NC 27109, USA.
Wake Forest University · US

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEON LENCHIK · 2002 to 2026
$36.4M
Translational Training in Aging and Alzheimer’s Disease Related DisordersT32AG033534 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI STEPHEN B. KRITCHEVSKY · 2009 to 2026
$3.6M
Variable adaptive responses to weight loss in older adults (VARIA)R21AG061344 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BEAVERS, DANIEL P, BEAVERS, KRISTEN MARIE · 2019 to 2020
$436k
Integrative multi-omic investigation of age-related changes in trabecular boneK01AG056663 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI QUILLEN, ELLEN ELIZABETH · 2018 to 2021
$377k
NIA NIH HHS P30 AG021332NIA NIH HHS R21 AG061344NIA NIH HHS T32 AG033534NIH HHS K01 AG056663NIH HHS P30 AG21332NIH HHS P30CA012197NIH HHS R21 AG061344NIH HHS T32 AG033534
6 · The paper itself

Abstract

Inter-individual response to dietary interventions remains a major challenge to successful weight loss among older adults. This study applied metabolomics technology to identify small molecule signatures associated with a loss of fat mass and overall weight in a cohort of older adults on a nutritionally complete, high-protein diet. A total of 102 unique metabolites were measured using liquid chromatography-mass spectrometry (LC-MS) for 38 adults aged 65-80 years randomized to dietary intervention and 36 controls. Metabolite values were analyzed in both baseline plasma samples and samples collected following the six-month dietary intervention to consider both metabolites that could predict the response to diet and those that changed in response to diet or weight loss.Eight metabolites changed over the intervention at a nominally significant level: D-pantothenic acid, L-methionine, nicotinate, aniline, melatonin, deoxycarnitine, 6-deoxy-L-galactose, and 10-hydroxydecanoate. Within the intervention group, there was broad variation in the achieved weight-loss and dual-energy x-ray absorptiometry (DXA)-defined changes in total fat and visceral adipose tissue (VAT) mass. Change in the VAT mass was significantly associated with the baseline abundance of α-aminoadipate (

Indexed as

AdiposityDiet, ReducingWeight LossAdipose TissueAgedAged, 80 and overAge FactorsAmino AcidsCarbohydrate MetabolismElder Nutritional Physiological PhenomenaFemaleHumansMaleMetabolomicsAmino Acidsagingbody compositionheterogeneitymetabolomicsweight loss

Identifiers

PMID33086512
PMCPMC7603124
OpenAlexW3092834906

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.