Evidence map›Paper›PMID 33671197›Full record

ReviewInternational journal of molecular sciences2021

The Multiomics Analyses of Fecal Matrix and Its Significance to Coeliac Disease Gut Profiling.

Sheeana Gangadoo, Piumie Rajapaksha Pathirannahalage, Samuel Cheeseman, Yen Thi Hoang Dang, Aaron Elbourne, Daniel Cozzolino, Kay Latham, Vi Khanh Truong, James Chapman

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Optimization of fecal sample homogenization for untargeted metabolomics.Metabolomics : Official journal of the Metabolomic Society · 2023
    Article
  5. Article
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

9 authors at 2 institutions in 1 country.

Sheeana GangadooSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.ORCID 0000-0002-7803-8899
Piumie Rajapaksha PathirannahalageSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.ORCID 0000-0001-6969-8898
Samuel CheesemanSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.
Yen Thi Hoang DangSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.
Aaron ElbourneSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.ORCID 0000-0002-4472-4372
Daniel CozzolinoCentre for Nutrition and Food Sciences (CNAFS), Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, St Lucia, Brisbane, QLD 4072, Australia.ORCID 0000-0001-6247-8817
Kay LathamSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.
Vi Khanh TruongSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.ORCID 0000-0002-6016-6438
James ChapmanSchool of Science, STEM College, RMIT University, Melbourne, VIC 3001, Australia.
RMIT University · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal (GIT) diseases have risen globally in recent years, and early detection of the host's gut microbiota, typically through fecal material, has become a crucial component for rapid diagnosis of such diseases. Human fecal material is a complex substance composed of undigested macromolecules and particles, and the processing of such matter is a challenge due to the unstable nature of its products and the complexity of the matrix. The identification of these products can be used as an indication for present and future diseases; however, many researchers focus on one variable or marker looking for specific biomarkers of disease. Therefore, the combination of genomics, transcriptomics, proteomics and metabonomics can give a detailed and complete insight into the gut environment. The proper sample collection, sample preparation and accurate analytical methods play a crucial role in generating precise microbial data and hypotheses in gut microbiome research, as well as multivariate data analysis in determining the gut microbiome functionality in regard to diseases. This review summarizes fecal sample protocols involved in profiling coeliac disease.

Indexed as

GenomicsCeliac DiseaseFecesGastrointestinal MicrobiomeGastrointestinal TractHumansMicroRNAsMicroRNAsanalytical techniquesfecal analysisgut microbiome

Identifiers

PMID33671197
PMCPMC7922330
OpenAlexW3131970780

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.