Evidence map›Paper›PMID 33096810›Full record

Trial reportNutrients2020

A High Protein Calorie Restriction Diet Alters the Gut Microbiome in Obesity.

Tien S Dong, Kayti Luu, Venu Lagishetty, Farzaneh Sedighian, Shih-Lung Woo, Benjamin W Dreskin, William Katzka, Candace Chang, Yi Zhou, Nerea Arias-Jayo and 5 more

Registry-linked trialOpen 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. It is linked to trial NCT04812964 (Modulation of the Intestinal Microbiome in Obesity by a High Protein Diet), which is not on this map. Cited by 55 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 4% 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.

NCT04812964 nacompletednot on this map

Modulation of the Intestinal Microbiome in Obesity by a High Protein Diet

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2018 to 2024Enrolled106ConditionsObesityArmsProtein powder supplement, standard dosage based on 0.5 gram protein per pound of subject's lean body mass, Protein powder supplement, High Level Protein, based on 1 gram of protein per pound of lean body mass: 25% protein and 45% carbohydrate
3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 3 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Impacts of Lifestyle and Microbiota-Targeted Interventions for Overweight and Obesity on the Human Gut Microbiome: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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  11. Ketogenic diet, cardiometabolic diseases and aging.Journal of geriatric cardiology : JGC · 2026
    Article
  12. Sleeve gastrectomy protects lean mice from future obesity.bioRxiv : the preprint server for biology · 2026
    Article
  13. Review
  14. Article
  15. The Genetic Blueprint of Obesity: From Pathogenesis to Novel Therapies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    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

15 authors at 2 institutions in 1 country.

Tien S DongThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0003-0105-8063
Kayti LuuThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Venu LagishettyThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0001-6500-8255
Farzaneh SedighianThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Shih-Lung WooCenter for Human Nutrition, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Benjamin W DreskinDivision of Gastroenterology, Hepatology and Parenteral Nutrition, Veterans Administration Greater Los Angeles Healthcare System, Los Angeles, CA 90073, USA.ORCID 0000-0003-1009-7574
William KatzkaThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Candace ChangThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Yi ZhouThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Nerea Arias-JayoThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Julianne YangThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Aaron AhdootThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Zhaoping LiUCLA Microbiome Center, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0002-8662-4310
Joseph R PisegnaThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
Jonathan P JacobsThe Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.ORCID 0000-0003-4698-0254
University of California, Los Angeles · USVA Greater Los Angeles Healthcare System · US

Funding

Pilot and Feasibility ProgramP30DK041301 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ROZENGURT, JUAN ENRIQUE · 1990 to 2019
$18.0M
Modulation of the Intestinal Microbiome in Obesity by a High Protein DietIK2CX001717 · VA · VA GREATER LOS ANGELES HEALTHCARE SYSTEM · PI JACOBS, JONATHAN PATRICK · 2018 to 2023
–
CSRD VA IK2 CX001717NIDDK NIH HHS P30 DK041301U.S. Department of Veterans Affairs IK2CX001717
6 · The paper itself

Abstract

backgroundHigh protein calorie restriction diets have shown clinical efficacy for obesity, but the mechanisms are not fully known. The intestinal microbiome is a mediator of obesity and preclinical data support an effect of high protein diet (HPD) on the gut microbiome of obesity, but there are few studies in humans.

methodsTo address this, we conducted a dietary intervention trial of 80 overweight and obese subjects who were randomized to a calorie-restricted high protein diet (HPD) (30% calorie intake) or calorie-restricted normal protein diet (NPD) (15%) for 8 weeks. Baseline dietary intake patterns were assessed by the Diet History Questionnaire III. Longitudinal fecal sampling was performed at baseline, week 1, week 2, week 4, week 6, and week 8, for a total of 365 samples. Intestinal microbiome composition was assessed by 16S rRNA gene sequencing.

resultsAt baseline, microbial composition was associated with fiber and protein intake. Subjects on the HPD showed a significant increase in microbial diversity as measured by the Shannon index compared to those on the NPD. The HPD was also associated with significant differences in microbial composition after treatment compared to the NPD. Both diets induced taxonomic shifts compared to baseline, including enrichment of

Indexed as

Caloric RestrictionDiet, High-ProteinDiet, ReducingGastrointestinal MicrobiomeAdultAgedDietary CarbohydratesDietary FiberEnergy IntakeFecesFemaleHumansMaleMiddle AgedObesityDietary CarbohydratesDietary Fibercalorie restrictionhigh protein dietmicrobiomeobesityrandomized controlled trial

Identifiers

PMID33096810
PMCPMC7590138
OpenAlexW3093545201

What Socratic 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 Socratic graph.