Evidence map›Paper›PMID 39026025›Full record

ArticleScientific reports2024

3D printed rectal swabs for assessing the gut microbiome, metabolome and inflammation.

Robert W Perry, Benjamin H Mullish, James L Alexander, Raashi Shah, Nathan P Danckert, Jesus Miguens Blanco, Lauren Roberts, Zhigang Liu, Despoina Chrysostomou, Shiva T Radhakrishnan and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Robert W PerryDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK. robert.perry@imperial.ac.uk.ORCID 0000-0003-0149-6530
Benjamin H MullishDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-6300-3100
James L AlexanderDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-8542-327X
Raashi ShahDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Nathan P DanckertDepartment of Twin Research and Genetic Epidemiology, School of Life Course & Population Sciences, King's College London, London, UK.ORCID 0000-0001-5416-7971
Jesus Miguens BlancoDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7725-965X
Lauren RobertsDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-2637-6319
Zhigang LiuDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-1363-6708
Despoina ChrysostomouDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-8150-7142
Shiva T RadhakrishnanDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-8311-9714
Sharmili BalarajahDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0003-0229-8528
Rachael BarryDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-8168-3226
Lucy C HicksDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-3065-1635
Horace R T WilliamsDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0001-5889-7584
Julian R MarchesiDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID 0000-0002-7994-5239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating the gut microbiome and metabolome frequently requires faecal samples, which can be difficult to obtain. Previous studies have shown that rectal swabs are comparable to faecal samples for analysing gut microbiota composition and key metabolites. In this study, 3D printed rectal swabs were compared with conventional flocked swabs and faecal samples, due to the potential advantages 3D printing as a technique offers for swab production and development. 16S rRNA gene sequencing, qPCR and metabolite profiling (using

Indexed as

FecesGastrointestinal MicrobiomeInflammatory Bowel DiseasesMetabolomePrinting, Three-DimensionalRNA, Ribosomal, 16SAdultFemaleHumansInflammationLeukocyte L1 Antigen ComplexMaleMiddle AgedRectumSpecimen HandlingLeukocyte L1 Antigen ComplexRNA, Ribosomal, 16S

Identifiers

PMID39026025
PMCPMC11258137

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.