Evidence map›Paper›PMID 33503844›Full record

ReviewInternational journal of molecular sciences2021

Recent Advances of Microbiome-Associated Metabolomics Profiling in Liver Disease: Principles, Mechanisms, and Applications.

Ganesan Raja, Haripriya Gupta, Yoseph Asmelash Gebru, Gi Soo Youn, Ye Rin Choi, Hyeong Seop Kim, Sang Jun Yoon, Dong Joon Kim, Tae-Jin Kim, Ki Tae Suk

Abstract 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 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. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Microbiome and Metabolomics in Liver Cancer: Scientific Technology.International journal of molecular sciences · 2022
    Review
  7. Review
  8. Article
  9. Microbiome and metabolomics in alcoholic liver disease.Clinical and molecular hepatology · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

10 authors.

Ganesan RajaInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0003-3060-6217
Haripriya GuptaInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0002-6008-1143
Yoseph Asmelash GebruInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0001-5133-3620
Gi Soo YounInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.
Ye Rin ChoiInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0002-9731-4510
Hyeong Seop KimInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.
Sang Jun YoonInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0003-4712-6359
Dong Joon KimInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0002-5792-1500
Tae-Jin KimDepartment of Biological Sciences, Integrated Biological Science, and Institute of Systems Biology, Pusan National University, Busan 46241, Korea.
Ki Tae SukInstitute for Liver and Digestive Diseases, Hallym University, Chuncheon 24252, Korea.ORCID 0000-0002-9206-9245

Funding

Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology NRF-2018M3A9F3020956, NRF-2019R1I1A3A01060447, NRF-2020R1I1A3073530 and NRF-2020R1A6A1A03043026Hallym University Research Fund Hallym University Research Fund
6 · The paper itself

Abstract

Advances in high-throughput screening of metabolic stability in liver and gut microbiota are able to identify and quantify small-molecule metabolites (metabolome) in different cellular microenvironments that are closest to their phenotypes. Metagenomics and metabolomics are largely recognized to be the "-omics" disciplines for clinical therapeutic screening. Here, metabolomics activity screening in liver disease (LD) and gut microbiomes has significantly delivered the integration of metabolomics data (i.e., a set of endogenous metabolites) with metabolic pathways in cellular environments that can be tested for biological functions (i.e., phenotypes). A growing literature in LD and gut microbiomes reports the use of metabolites as therapeutic targets or biomarkers. Although growing evidence connects liver fibrosis, cirrhosis, and hepatocellular carcinoma, the genetic and metabolic factors are still mainly unknown. Herein, we reviewed proof-of-concept mechanisms for metabolomics-based LD and gut microbiotas' role from several studies (nuclear magnetic resonance, gas/lipid chromatography, spectroscopy coupled with mass spectrometry, and capillary electrophoresis). A deeper understanding of these axes is a prerequisite for optimizing therapeutic strategies to improve liver health.

Indexed as

Disease SusceptibilityMetabolomeMetabolomicsMicrobiotaAnimalsBiomarkersComputational BiologyEnergy MetabolismGene Expression ProfilingGenomicsHumansLiver DiseasesPhenomicsBiomarkersdiscriminationsgut microbiomeliver therapiesmetabolic engineeringmetabolomicsscientific applications

Identifiers

PMID33503844
PMCPMC7865944

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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.