Evidence map›Paper›PMID 36722516›Full record

ReviewSingapore medical journal2023

Application of emerging technologies for gut microbiome research.

Wit Thun Kwa, Saishreyas Sundarajoo, Kai Yee Toh, Jonathan Lee

Abstract readReview
In one paragraph

Review in Singapore medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. International journal of molecular sciences · 2024
    Review
  12. Review
  13. Review
  14. Article
  15. Genetics and genomics: A frontier for clinicians.Singapore medical journal · 2023
    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

4 authors.

Wit Thun KwaDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Saishreyas SundarajooAMILI Pte Ltd, Singapore.
Kai Yee TohAMILI Pte Ltd, Singapore.
Jonathan LeeDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore; AMILI Pte Ltd; Department of Gastroenterology and Hepatology, National University Health System; Synthetic Biology for Clinical and Technological Innovation (SynCTI); Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome is associated with a wide range of diseases. The gut microbiome is also a dynamic reflection of health status, which can be modified, thus representing great potential to exploit the mechanisms that influence human physiology. Recent years have seen a dramatic rise in gut microbiome studies, which has been enabled by the rapidly evolving high-throughput sequencing methods (i.e. 16S rRNA sequencing and shotgun sequencing). As the emerging technologies for microbiome research continue to evolve (i.e. metatranscriptomics, metabolomics, culturomics, synthetic biology), microbiome research has moved beyond phylogenetic descriptions and towards mechanistic analyses. In this review, we highlight different approaches to study the microbiome, in particular, the current limitations and future promise of these techniques. This review aims to provide clinicians with a framework for studying the microbiome, as well as to accelerate the adoption of these techniques in clinical practice.

Indexed as

Gastrointestinal MicrobiomeHealth StatusHumansPhylogenyRNA, Ribosomal, 16SRNA, Ribosomal, 16SCulturomicsfaecal microbiota transplantmetagenomicsmicrobiomemulti-omics

Identifiers

PMID36722516
PMCPMC9979803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.