Evidence map›Paper›PMID 30801021›Full record

ArticlemSystems

A Novel Sparse Compositional Technique Reveals Microbial Perturbations.

Cameron Martino, James T Morton, Clarisse A Marotz, Luke R Thompson, Anupriya Tripathi, Rob Knight, Karsten Zengler

Abstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 328 papers.

0numbers the graph read from it
0cells of the map it votes in
328citing 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

328 citing papers in PubMed.

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268 more citing papers are in PubMed but not listed here.

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

7 authors.

Cameron MartinoDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
James T MortonDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Clarisse A MarotzDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Luke R ThompsonDepartment of Biological Sciences and Northern Gulf Institute, University of Southern Mississippi, Hattiesburg, Mississippi, USA.ORCID https://orcid.org/0000-0002-3911-1280
Anupriya TripathiDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Karsten ZenglerDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.

Funding

Transcriptional response of a skin microbiome transplantR21AR071731 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZENGLER, KARSTEN B · 2017 to 2017
$341k
Saliva microbiota dynamics and role in metformin-mediated oral squamous cell carcinoma prophylaxisF31DE028478 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MAROTZ, CLARISSE A. · 2018 to 2020
$61k
NIAMS NIH HHS R21 AR071731NIDCR NIH HHS F31 DE028478
6 · The paper itself

Abstract

The central aims of many host or environmental microbiome studies are to elucidate factors associated with microbial community compositions and to relate microbial features to outcomes. However, these aims are often complicated by difficulties stemming from high-dimensionality, non-normality, sparsity, and the compositional nature of microbiome data sets. A key tool in microbiome analysis is beta diversity, defined by the distances between microbial samples. Many different distance metrics have been proposed, all with varying discriminatory power on data with differing characteristics. Here, we propose a compositional beta diversity metric rooted in a centered log-ratio transformation and matrix completion called robust Aitchison PCA. We demonstrate the benefits of compositional transformations upstream of beta diversity calculations through simulations. Additionally, we demonstrate improved effect size, classification accuracy, and robustness to sequencing depth over the current methods on several decreased sample subsets of real microbiome data sets. Finally, we highlight the ability of this new beta diversity metric to retain the feature loadings linked to sample ordinations revealing salient intercommunity niche feature importance.

Indexed as

compositionalcomputational biologymatrix completionmetagenomicsmicrobiome

Identifiers

PMID30801021
PMCPMC6372836

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.