Evidence map›Paper›PMID 28841836›Full record

ArticleMicrobiome2017

Oxalobacter formigenes-associated host features and microbial community structures examined using the American Gut Project.

Menghan Liu, Hyunwook Koh, Zachary D Kurtz, Thomas Battaglia, Amanda PeBenito, Huilin Li, Lama Nazzal, Martin J Blaser

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 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 6% 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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Menghan LiuSackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, 10016, USA.
Hyunwook KohDepartment of Population Health, New York University School of Medicine, New York, NY, 10016, USA.
Zachary D KurtzDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA.
Thomas BattagliaDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA.
Amanda PeBenitoDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA.
Huilin LiDepartment of Population Health, New York University School of Medicine, New York, NY, 10016, USA.
Lama NazzalDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA. Lama.Nazzal@nyumc.org.
Martin J BlaserDepartment of Microbiology, New York University School of Medicine, New York, NY, 10016, USA. Martin.Blaser@nyumc.org.
New York University · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
Primary HyperoxaluriaU54DK083908 · NIDDK · MAYO CLINIC ROCHESTER · PI MILLINER, DAWN SCHMAUTZ · 2009 to 2018
$12.3M
Disappearing gastrointestinal microbiota in epidemic obesity.R01DK090989 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BLASER, MARTIN J · 2010 to 2015
$7.4M
Microbial, immune, metabolic perturbations by antibiotics (MIME study)U01AI122285 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI MARTIN J BLASER, Steven M Holland · 2016 to 2026
$5.2M
Novel Statistical Methods in Analyzing Microbiome Data for Longitudinal StudyR01DK110014 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LI, HUILIN · 2016 to 2019
$1.5M
NCI NIH HHS P30 CA016087NIAID NIH HHS U01 AI122285NIDDK NIH HHS R01 DK090989NIDDK NIH HHS R01 DK110014NIDDK NIH HHS U54 DK083908
6 · The paper itself

Abstract

backgroundIncreasing evidence shows the importance of the commensal microbe Oxalobacter formigenes in regulating host oxalate homeostasis, with effects against calcium oxalate kidney stone formation, and other oxalate-associated pathological conditions. However, limited understanding of O. formigenes in humans poses difficulties for designing targeted experiments to assess its definitive effects and sustainable interventions in clinical settings. We exploited the large-scale dataset from the American Gut Project (AGP) to study O. formigenes colonization in the human gastrointestinal (GI) tract and to explore O. formigenes-associated ecology and the underlying host-microbe relationships.

resultsIn >8000 AGP samples, we detected two dominant, co-colonizing O. formigenes operational taxonomic units (OTUs) in fecal specimens. Multivariate analysis suggested that O. formigenes abundance was associated with particular host demographic and clinical features, including age, sex, race, geographical location, BMI, and antibiotic history. Furthermore, we found that O. formigenes presence was an indicator of altered host gut microbiota structure, including higher community diversity, global network connectivity, and stronger resilience to simulated disturbances.

conclusionsThrough this study, we identified O. formigenes colonizing patterns in the human GI tract, potential underlying host-microbe relationships, and associated microbial community structures. These insights suggest hypotheses to be tested in future experiments. Additionally, we proposed a systematic framework to study any bacterial taxa of interest to computational biologists, using large-scale public data to yield novel biological insights.

Indexed as

AdultData MiningFecesFemaleGastrointestinal MicrobiomeHomeostasisHumansMaleNephrolithiasisOxalatesOxalobacter formigenesPhylogenyStatistics as TopicSystems BiologyUnited StatesOxalatesEcologyGut microbiotaHost–microbe interactionKidney stonesMicrobial networkPublic data miningSystems biology

Identifiers

PMID28841836
PMCPMC5571629
OpenAlexW2746243965

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.