Evidence map›Paper›PMID 37185811›Full record

ArticleISME communications2023

Optimizing ex vivo culture conditions to study human gut microbiome.

Xin Tao, Wenjin Huang, Lingyun Pan, Lili Sheng, Yuan Qin, Luo Chen, Linhuan Yu, Gaosong Wu, Jianbo Wan, Houkai Li

Abstract read
In one paragraph

Article in ISME communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Gut microbes · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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.

Xin TaoSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Wenjin HuangSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lingyun PanExperiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lili ShengSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yuan QinCollege of Acupuncture and Massage, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Luo ChenSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Linhuan YuSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Gaosong WuInstitute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jianbo WanInstitute of Chinese Medical Sciences, University of Macau, Macau, China.
Houkai LiSchool of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai, China. hk_li@shutcm.edu.cn.ORCID http://orcid.org/0000-0003-2846-7895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The inter-individual variations of gut microbiome contribute to the different responses toward drug therapy among populations, developing a reliable ex vivo culture method for mixed bacteria is the urgent need for predicting personal reaction to drug therapy. Unfortunately, very few attentions have been paid to the bias that could be introduced during the culture process for mixed bacteria. Here we systemically evaluated the factors that may affect the outcomes of cultured bacteria from human feces. We demonstrated that inter-individual difference of host gut microbiome was the main factor affecting the outcomes of cultured bacteria, followed by the culture medium and time point. We further optimized a new medium termed GB based on our established multi-dimensional evaluation method, which could mimic the status of in situ host gut microbiome to the highest extent. Finally, we assessed the inter-individual metabolism by host gut microbiome from 10 donors on three frequently used clinical drugs (aspirin, levodopa and doxifluridine) based on the optimized GB medium. Our results revealed obvious variation in drug metabolism by microbiome from different donors, especially levodopa and doxifluridine. This work suggested the optimized culture medium had the potential for exploring the inter-individual impacts of host gut microbiome on drug metabolism.

Identifiers

PMID37185811
PMCPMC10130157

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.