Evidence map›Paper›PMID 37828152›Full record

ArticleNature methods2023

Microbial-enrichment method enables high-throughput metagenomic characterization from host-rich samples.

Natalie J Wu-Woods, Jacob T Barlow, Florian Trigodet, Dustin G Shaw, Anna E Romano, Bana Jabri, A Murat Eren, Rustem F Ismagilov

Abstract read
In one paragraph

Article in Nature methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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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

8 authors.

Natalie J Wu-Woods *Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.ORCID 0000-0001-5070-9091
Jacob T Barlow *Biology and Bioengineering, California Institute of Technology, Pasadena, CA, USA.
Florian TrigodetDepartment of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0002-4933-2896
Dustin G ShawDepartment of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0003-3961-7588
Anna E RomanoChemistry and Chemical Engineering, California Institute of Technology, Pasadena, USA.ORCID 0000-0002-7148-0668
Bana JabriDepartment of Medicine, The University of Chicago, Chicago, IL, USA.ORCID 0000-0001-7427-4424
A Murat ErenBay Paul Center, Marine Biological Laboratory, Woods Hole, MA, USA.ORCID 0000-0001-9013-4827
Rustem F IsmagilovBiology and Bioengineering, California Institute of Technology, Pasadena, CA, USA. rustem.admin@caltech.edu.ORCID 0000-0002-3680-4399

Funding

ULTRASTRUCTURE AND CYTOMORPHOLOGY COREP30DK042086 · NIDDK · UNIVERSITY OF CHICAGO · PI LIU, CAMBRIAN YANGSHAO · 1990 to 2025
$29.8M
Tissue destruction and healing in Celiac DiseaseRC2DK133947 · NIDDK · UNIVERSITY OF CHICAGO · PI Luis Bruno Barreiro, RUSTEM F ISMAGILOV · 2022 to 2026
$11.9M
Host and microbial basis of human ulcerative colitis and pouchitis: Identification, role, mechanisms, and resource development of host susceptibility and pathobiont factorsRC2DK122394 · NIDDK · UNIVERSITY OF CHICAGO · PI CHANG, EUGENE B · 2019 to 2023
$10.2M
Innate and adaptive immunity in celiac diseaseR01DK067180 · NIDDK · UNIVERSITY OF CHICAGO · PI JABRI, BANA · 2005 to 2024
$8.5M
Medical Scientist National Research Service AwardT32GM150375 · NIGMS · UNIVERSITY OF CHICAGO · PI Raghavendra G Mirmira · 2023 to 2026
$5.5M
Probing short and long term consequences of Small and Large Bowel Microbiota Transplants on Host Physiology: Implications for the development of future live biotherapeuticsR01DK138072 · NIDDK · UNIVERSITY OF CHICAGO · PI EUGENE B CHANG, Kristina Brooke Martinez-Guryn · 2024 to 2026
$2.1M
Predoctoral Biotechnology Leadership Training in Micro/NanomedicineT32GM112592 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ARNOLD, FRANCES H · 2015 to 2019
$1.1M
Adaptive immunity in primary sclerosing cholangitis patients at risk for colorectal cancerF30DK121470 · NIDDK · UNIVERSITY OF CHICAGO · PI SHAW, DUSTIN · 2019 to 2022
$203k
NIDDK NIH HHS F30 DK121470NIDDK NIH HHS P30 DK042086NIDDK NIH HHS R01 DK067180NIDDK NIH HHS R01 DK138072NIDDK NIH HHS RC2 DK122394NIDDK NIH HHS RC2 DK133947NIGMS NIH HHS T32 GM112592NIGMS NIH HHS T32 GM150375
6 · The paper itself

Abstract

Host-microbe interactions have been linked to health and disease states through the use of microbial taxonomic profiling, mostly via 16S ribosomal RNA gene sequencing. However, many mechanistic insights remain elusive, in part because studying the genomes of microbes associated with mammalian tissue is difficult due to the high ratio of host to microbial DNA in such samples. Here we describe a microbial-enrichment method (MEM), which we demonstrate on a wide range of sample types, including saliva, stool, intestinal scrapings, and intestinal mucosal biopsies. MEM enabled high-throughput characterization of microbial metagenomes from human intestinal biopsies by reducing host DNA more than 1,000-fold with minimal microbial community changes (roughly 90% of taxa had no significant differences between MEM-treated and untreated control groups). Shotgun sequencing of MEM-treated human intestinal biopsies enabled characterization of both high- and low-abundance microbial taxa, pathways and genes longitudinally along the gastrointestinal tract. We report the construction of metagenome-assembled genomes directly from human intestinal biopsies for bacteria and archaea at relative abundances as low as 1%. Analysis of metagenome-assembled genomes reveals distinct subpopulation structures between the small and large intestine for some taxa. MEM opens a path for the microbiome field to acquire deeper insights into host-microbe interactions by enabling in-depth characterization of host-tissue-associated microbial communities.

Indexed as

MetagenomeMicrobiotaAnimalsBacteriaDNAGastrointestinal TractHigh-Throughput Nucleotide SequencingHumansMammalsMetagenomicsRNA, Ribosomal, 16SDNARNA, Ribosomal, 16S

Identifiers

PMID37828152
PMCPMC10885704

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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.