Evidence map›Paper›PMID 38645092›Full record

ArticlebioRxiv : the preprint server for biology2024

Metaproteomics and DNA metabarcoding as tools to assess dietary intake in humans.

Brianna L Petrone, Alexandria Bartlett, Sharon Jiang, Abigail Korenek, Simina Vintila, Christine Tenekjian, William S Yancy, Lawrence A David, Manuel Kleiner

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Brianna L PetroneDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0003-4778-7595
Alexandria BartlettDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States.
Sharon JiangDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States.
Abigail KorenekDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States.
Simina VintilaDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States.ORCID 0000-0003-0018-0016
Christine TenekjianDuke Lifestyle and Weight Management Center, Durham, NC, United States.
William S YancyDuke Lifestyle and Weight Management Center, Durham, NC, United States.ORCID 0000-0003-1221-1860
Lawrence A DavidDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States.ORCID 0000-0002-3570-4767
Manuel KleinerDepartment of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, United States.ORCID 0000-0001-6904-0287
Duke University · USNorth Carolina State University · US

Funding

Personalizing prebiotic therapies that target human gut microbiotaR01DK116187 · NIDDK · DUKE UNIVERSITY · PI Lawrence Anthony David · 2018 to 2026
$3.7M
Metaproteomics to investigate intestinal microbiota-host and -diet interactionsR35GM138362 · NIGMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KLEINER, MANUEL · 2020 to 2024
$1.9M
NIDDK NIH HHS R01 DK116187NIGMS NIH HHS R35 GM138362
6 · The paper itself

Abstract

Objective biomarkers of food intake are a sought-after goal in nutrition research. Most biomarker development to date has focused on metabolites detected in blood, urine, skin or hair, but detection of consumed foods in stool has also been shown to be possible via DNA sequencing. An additional food macromolecule in stool that harbors sequence information is protein. However, the use of protein as an intake biomarker has only been explored to a very limited extent. Here, we evaluate and compare measurement of residual food-derived DNA and protein in stool as potential biomarkers of intake. We performed a pilot study of DNA sequencing-based metabarcoding (FoodSeq) and mass spectrometry-based metaproteomics in five individuals' stool sampled in short, longitudinal bursts accompanied by detailed diet records (

Indexed as

dietary protein sequencesdiet databasediet detectiongut microbiomegut microbiotahigh resolution mass spectrometryintestinal microbiomeLC-MS/MS

Identifiers

PMID38645092
PMCPMC11030321
OpenAlexW4394723334

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.