Evidence map›Paper›PMID 28693612›Full record

ArticleMicrobiome2017

Genome-resolved metaproteomic characterization of preterm infant gut microbiota development reveals species-specific metabolic shifts and variabilities during early life.

Weili Xiong, Christopher T Brown, Michael J Morowitz, Jillian F Banfield, Robert L Hettich

Open access · goldAbstract read
In one paragraph

Article in Microbiome, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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.

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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  10. Considerations for constructing a protein sequence database for metaproteomics.Computational and structural biotechnology journal · 2022
    Review
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  12. Article
  13. Article
  14. Article
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  16. Methods for exploring the faecal microbiome of premature infants: a review.Maternal health, neonatology and perinatology · 2021
    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

5 authors at 3 institutions in 1 country.

Weili XiongBiosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Christopher T BrownDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Michael J MorowitzSchool of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Jillian F BanfieldDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Robert L HettichChemical Sciences Division, Oak Ridge National Laboratory, Bethel Valley Rd, Oak Ridge, TN, 37831, USA. hettichrl@ornl.gov.ORCID 0000-0001-7708-786X
Oak Ridge National Laboratory · USPlanetary Science Institute · USUniversity of Pittsburgh · US

Funding

Proteogenomic analysis of inflammation and dysbiosis in the infant gutR01GM103600 · NIGMS · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI BANFIELD, JILLIAN, HETTICH, ROBERT L. · 2014 to 2017
$1.5M
NIGMS NIH HHS R01 GM103600
6 · The paper itself

Abstract

backgroundEstablishment of the human gut microbiota begins at birth. This early-life microbiota development can impact host physiology during infancy and even across an entire life span. However, the functional stability and population structure of the gut microbiota during initial colonization remain poorly understood. Metaproteomics is an emerging technology for the large-scale characterization of metabolic functions in complex microbial communities (gut microbiota).

resultsWe applied a metagenome-informed metaproteomic approach to study the temporal and inter-individual differences of metabolic functions during microbial colonization of preterm human infants' gut. By analyzing 30 individual fecal samples, we identified up to 12,568 protein groups for each of four infants, including both human and microbial proteins. With genome-resolved matched metagenomics, proteins were confidently identified at the species/strain level. The maximum percentage of the proteome detected for the abundant organisms was ~45%. A time-dependent increase in the relative abundance of microbial versus human proteins suggested increasing microbial colonization during the first few weeks of early life. We observed remarkable variations and temporal shifts in the relative protein abundances of each organism in these preterm gut communities. Given the dissimilarity of the communities, only 81 microbial EggNOG orthologous groups and 57 human proteins were observed across all samples. These conserved microbial proteins were involved in carbohydrate, energy, amino acid and nucleotide metabolism while conserved human proteins were related to immune response and mucosal maturation. We identified seven proteome clusters for the communities and showed infant gut proteome profiles were unstable across time and not individual-specific. Applying a gut-specific metabolic module (GMM) analysis, we found that gut communities varied primarily in the contribution of nutrient (carbohydrates, lipids, and amino acids) utilization and short-chain fatty acid production.

conclusionsOverall, this study reports species-specific proteome profiles and metabolic functions of human gut microbiota during early colonization. In particular, our work contributes to reveal microbiota-associated shifts and variations in the metabolism of three major nutrient sources and short-chain fatty acid during colonization of preterm infant gut.

Indexed as

Gastrointestinal MicrobiomeInfant, PrematureProteomicsAmino AcidsBacterial ProteinsCarbohydrate MetabolismFatty Acids, VolatileFecesHumansInfant, NewbornLipid MetabolismMetagenomicsProteomeSpecies SpecificityAmino AcidsBacterial ProteinsFatty Acids, VolatileProteomeGenome resolvedHuman infant gutMetaproteomicsMicrobial metabolic functionsShotgun proteomics

Identifiers

PMID28693612
PMCPMC5504695
OpenAlexW2735782347

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.