Evidence map›Paper›PMID 30744677›Full record

ArticleMicrobiome2019

Metaproteomics reveals persistent and phylum-redundant metabolic functional stability in adult human gut microbiomes of Crohn's remission patients despite temporal variations in microbial taxa, genomes, and proteomes.

J Alfredo Blakeley-Ruiz, Alison R Erickson, Brandi L Cantarel, Weili Xiong, Rachel Adams, Janet K Jansson, Claire M Fraser, Robert L Hettich

Abstract read
In one paragraph

Article in Microbiome, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Considerations for constructing a protein sequence database for metaproteomics.Computational and structural biotechnology journal · 2022
    Review
  17. Novel Bioinformatics Strategies Driving Dynamic Metaproteomic Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
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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.

J Alfredo Blakeley-RuizChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Alison R EricksonChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Brandi L CantarelInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Weili XiongChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Rachel AdamsChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.
Janet K JanssonBiological Sciences Division, Pacific Northwest National Lab, Richland, WA, 99352, USA.
Claire M FraserInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Robert L HettichChemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA. hettichrl@ornl.gov.ORCID 0000-0001-7708-786X

Funding

Metagenomic Analysis of the Structure and Function of the Human Gut Microbiota inUH2DK083991 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI FRASER, CLAIRE M. · 2009 to 2009
$1.0M
NIDDK NIH HHS UH2 DK083991
6 · The paper itself

Abstract

backgroundThe gut microbiome plays a fundamental role in the human host's overall health by contributing key biological functions such as expanded metabolism and pathogen defense/immune control. In a healthy individual, the gut microbiome co-exists within the human host in a symbiotic, non-inflammatory relationship that enables mutual benefits, such as microbial degradation of indigestible food products into small molecules that the host can utilize, and enhanced pathogen defense. In abnormal conditions, such as Crohn's disease, this favorable metabolic relationship breaks down and a variety of undesirable activities result, including chronic inflammation and other health-related issues. It has been difficult, however, to elucidate the overall functional characteristics of this relationship because the microbiota can vary substantially in composition for healthy humans and possibly even more in individuals with gut disease conditions such as Crohn's disease. Overall, this suggests that microbial membership composition may not be the best way to characterize a phenotype. Alternatively, it seems to be more informative to examine and characterize the functional composition of a gut microbiome. Towards that end, this study examines 25 metaproteomes measured in several Crohn's disease patients' post-resection surgery across the course of 1 year, in order to examine persistence of microbial taxa, genes, proteins, and metabolic functional distributions across time in individuals whose microbiome might be more variable due to the gut disease condition.

resultsThe measured metaproteomes were highly personalized, with all the temporally-related metaproteomes clustering most closely by individual. In general, the metaproteomes were remarkably distinct between individuals and to a lesser extent within individuals. This prompted a need to characterize the metaproteome at a higher functional level, which was achieved by annotating identified protein groups with KEGG orthologous groups to infer metabolic modules. At this level, similar and redundant metabolic functions across multiple phyla were observed across time and between individuals. Tracking through these various metabolic modules revealed a clear path from carbohydrate, lipid, and amino acid degradation to central metabolism and finally the production of fermentation products.

conclusionsThe human gut metaproteome can vary quite substantially across time and individuals. However, despite substantial intra-individual variation in the metaproteomes, there is a clear persistence of conserved metabolic functions across time and individuals. Additionally, the persistence of these core functions is redundant across multiple phyla but is not always observable in the same sample. Finally, the gut microbiome's metabolism is not driven by a set of discrete linear pathways but a web of interconnected reactions facilitated by a network of enzymes that connect multiple molecules across multiple pathways.

Indexed as

AcetylglucosamineAdultBacteriaCrohn DiseaseCytidine Monophosphate N-Acetylneuraminic AcidFatty Acids, VolatileFecesFemaleGastrointestinal MicrobiomeHumansMaleMiddle AgedProteomeProteomicsRNA, Ribosomal, 16SAcetylglucosamineCytidine Monophosphate N-Acetylneuraminic AcidFatty Acids, VolatileProteomeRNA, Ribosomal, 16SCrohn’s diseaseGut microbiomeHuman microbiomeLongitudinal analysesMetaproteomicsMicrobial metabolic function

Identifiers

PMID30744677
PMCPMC6371617

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Registered trials

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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.