Evidence map›Paper›PMID 28286741›Full record

ReviewFrontiers in cellular and infection microbiology2017

Sampling Strategies for Three-Dimensional Spatial Community Structures in IBD Microbiota Research.

Shaocun Zhang, Xiaocang Cao, He Huang

Abstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

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  4. Role of the duodenal microbiota in functional dyspepsia.Neurogastroenterology and motility · 2022
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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.

Shaocun ZhangDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin UniversityTianjin, China; Collaborative Innovation Center of Chemical Science and EngineeringTianjin, China.
Xiaocang CaoDepartment of Gastroenterology and Hepatology, Tianjin Medical University General Hospital; Tianjin Medical University Tianjin, China.
He HuangDepartment of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin UniversityTianjin, China; Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin UniversityTianjin, China; Collaborative Innovation Center of Chemical Science and EngineeringTianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying intestinal microbiota is arguably an important task that is performed to determine the pathogenesis of inflammatory bowel diseases (IBD); thus, it is crucial to collect and analyze intestinally-associated microbiota. Analyzing a single niche to categorize individuals does not enable researchers to comprehensively study the spatial variations of the microbiota. Therefore, characterizing the spatial community structures of the inflammatory bowel disease microbiome is critical for advancing our understanding of the inflammatory landscape of IBD. However, at present there is no universally accepted consensus regarding the use of specific sampling strategies in different biogeographic locations. In this review, we discuss the spatial distribution when screening sample collections in IBD microbiota research. Here, we propose a novel model, a three-dimensional spatial community structure, which encompasses the x-, y-, and z-axis distributions; it can be used in some sampling sites, such as feces, colonoscopic biopsy, the mucus gel layer, and oral cavity. On the basis of this spatial model, this article also summarizes various sampling and processing strategies prior to and after DNA extraction and recommends guidelines for practical application in future research.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaDysbiosisHumansInflammatory Bowel DiseasesIntestinal MucosaSpecimen Handlingcolonoscopic biopsycommunity structurefecesIBD microbiota researchmucus gel layeroral cavitysampling strategies

Identifiers

PMID28286741
PMCPMC5323387

What OpenQuestion holds

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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.