Evidence map›Paper›PMID 32153856›Full record

ArticleBMC nutrition2017

Design and implementation of a cross-sectional nutritional phenotyping study in healthy US adults.

Lacey M Baldiviez, Nancy L Keim, Kevin D Laugero, Daniel H Hwang, Liping Huang, Leslie R Woodhouse, Dustin J Burnett, Melissa S Zerofsky, Ellen L Bonnel, Lindsay H Allen and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in BMC nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02367287 (Assessing the Impact of Diet on Inflammation in Healthy and Obese Adults in a Cross-Sectional Phenotyping Study), which is not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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.

NCT02367287 completednot on this map

Assessing the Impact of Diet on Inflammation in Healthy and Obese Adults in a Cross-Sectional Phenotyping Study

TypeobservationalSponsorUSDA, Western Human Nutrition Research CenterRan2015 to 2019Enrolled393ConditionsObesity, Inflammation
3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. High dietary BGut microbes · 2026
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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

12 authors.

Lacey M Baldiviez1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Nancy L Keim1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Kevin D Laugero1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Daniel H Hwang1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Liping Huang1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Leslie R Woodhouse1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Dustin J Burnett1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Melissa S Zerofsky1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Ellen L Bonnel1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Lindsay H Allen1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
John W Newman1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.
Charles B Stephensen1United States Department of Agriculture, Agricultural Research Service, Western Human Nutrition Research Center, Davis, CA USA.ORCID 0000-0002-2117-2237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic imbalance is a key determinant of risk of chronic diseases. Metabolic health cannot be assessed solely by body mass calculations or by static, fasted state biochemical readouts. Although previous studies have described temporal responses to dietary challenges, these studies fail to assess the environmental factors associated with certain metabolic phenotypes and therefore, provide little scientific rationale for potentially effective intervention strategies. METHODS/

designIn this phenotyping study of healthy US adults, we are evaluating lifestyle, biological and environmental factors in addition to metabolic parameters to determine the factors associated with variations in metabolic health. A series of practical fitness, dietary, and emotional challenges are introduced and temporal responses in various areas of specialization, including immunology, metabolomics, and endocrinology, are monitored. We expect that this study will identify key factors related to healthy or unhealthy metabolic phenotypes (metabotypes) that may be modifiable targets for the prevention of chronic diseases in an individual. DISCUSSION: This study will provide novel insights into metabolic variability among healthy adults in balanced strata defined by sex, age and body mass index. Usual dietary intake and physical activity will be evaluated across these strata to determine how diet is associated with health status defined using many indicators including immune function, metabolism, body composition, physiology, response to exercise andmeal challenges and neuroendocrine assessment. A principal study goal is to identify dietary and other personal factors that will differentiate different levels of "health" among study participants.

trial registrationClinicalTrials.gov NCT02367287.

Indexed as

DietGut microbiotaMetabolismMetabolomicsMetabotypesNeuroendocrine systemPhenotype

Identifiers

PMID32153856
PMCPMC7050916

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.