Evidence map›Paper›PMID 31952112›Full record

ArticleMetabolites2020

Cervicovaginal Microbiome and Urine Metabolome Paired Analysis Reveals Niche Partitioning of the Microbiota in Patients with Human Papilloma Virus Infections.

Nataliya Chorna, Josefina Romaguera, Filipa Godoy-Vitorino

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Nataliya ChornaDepartment of Biochemistry, UPR School of Medicine, San Juan 00936, Puerto Rico.ORCID 0000-0002-7761-6802
Josefina RomagueraDepartment of Ob-Gyn, UPR School of Medicine, San Juan 00936, Puerto Rico.ORCID 0000-0001-5403-9160
Filipa Godoy-VitorinoDepartment of Microbiology & Medical Zoology, UPR School of Medicine, San Juan 00936, Puerto Rico.ORCID 0000-0003-1880-0498
University of Puerto Rico System · PR

Funding

SCIENCE AND TECHNOLOGY COMPETENCY & EDUCATION CORE (STCE)P20GM103475 · NIGMS · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Jose R. Rodriguez-Medina · 2012 to 2026
$52.9M
TECHNOLOGIES AND RESOURCES FOR CORE LABORATORIESU54MD007587 · NIMHD · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI LUCIANO, CARLOS A., WOJNA, VALERIE · 2012 to 2018
$23.2M
NIGMS NIH HHS P20 GM103475NIMHD NIH HHS 2U54MD007587, U54MD007600NIMHD NIH HHS U54 MD007587
6 · The paper itself

Abstract

In this study, we evaluate the association between vaginal and cervical human papillomavirus infections high-risk types (HPV+H), negative controls (HPV-), the bacterial biota, and urinary metabolites via integration of metagenomics, metabolomics, and bioinformatics analysis. We recently proposed that testing urine as a biofluid could be a non-invasive method for the detection of cervical HPV+H infections by evaluating the association between cervical HPV types and a total of 24 urinary metabolites identified in the samples. As a follow-up study, we expanded the analysis by pairing the urine metabolome data with vaginal and cervical microbiota in selected samples from 19 Puerto Rican women diagnosed with HPV+H infections and HPV- controls, using a novel comprehensive framework, Model-based Integration of Metabolite Observations and Species Abundances 2 (MIMOSA2). This approach enabled us to estimate the functional activities of the cervicovaginal microbiome associated with HPV+H infections. Our results suggest that HPV+H infections could induce changes in physicochemical properties of the genital tract through which niche partitioning may occur. As a result,

Indexed as

cervicovaginal HPV infectionsmicrobiotamulti-omic integrated analysesurine

Identifiers

PMID31952112
PMCPMC7022855
OpenAlexW3000641988

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.