Evidence map›Paper›PMID 33213511›Full record

Trial reportMicrobiome2020

Characterization of TMAO productivity from carnitine challenge facilitates personalized nutrition and microbiome signatures discovery.

Wei-Kai Wu, Suraphan Panyod, Po-Yu Liu, Chieh-Chang Chen, Hsien-Li Kao, Hsiao-Li Chuang, Ying-Hsien Chen, Hsin-Bai Zou, Han-Chun Kuo, Ching-Hua Kuo and 12 more

Open access · goldAbstract readClinical TrialVideo-Audio Media
In one paragraph

Trial report in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Gut microbes with theGut microbes · 2025
    Article
  8. The gut microbiome connects nutrition and human health.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Modulation of gut microbiota by foods and herbs to prevent cardiovascular diseases.Journal of traditional and complementary medicine · 2023
    Review
  16. Article
  17. Machine Learning in Nutrition Research.Advances in nutrition (Bethesda, Md.) · 2022
    Article
  18. Review
  19. Review
  20. 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

22 authors at 9 institutions in 2 countries.

Wei-Kai WuDepartment of Internal Medicine, National Taiwan University Hospital Bei-Hu Branch, Taipei, Taiwan.
Suraphan PanyodInstitute of Food Science and Technology, National Taiwan University, Taipei, Taiwan.
Po-Yu LiuDepartment of Internal Medicine, College of Medicine, National Taiwan University, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan.
Chieh-Chang ChenDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Hsien-Li KaoDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Hsiao-Li ChuangNational Laboratory Animal Center, National Applied Research Laboratories, Taipei, Taiwan.
Ying-Hsien ChenDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Hsin-Bai ZouDepartment of Chemistry, National Taiwan University, Taipei, Taiwan.
Han-Chun KuoThe Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.
Ching-Hua KuoThe Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.
Ben-Yang LiaoInstitute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan.
Tina H T ChiuDepartment of Nutritional Science, Fu Jen Catholic University, Taipei, Taiwan.
Ching-Hu ChungDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Angela Yu-Chen LinGraduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan.
Yi-Chia LeeDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Sen-Lin TangBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Jin-Town WangDepartment of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Yu-Wei WuGraduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei, 110, Taiwan.
Cheng-Chih HsuDepartment of Chemistry, National Taiwan University, Taipei, Taiwan.
Lee-Yan SheenInstitute of Food Science and Technology, National Taiwan University, Taipei, Taiwan.
Alexander N OrekhovInstitute for Atherosclerosis Research, Skolkovo Innovative Center, Moscow, 121609, Russia.
Ming-Shiang WuDepartment of Internal Medicine, College of Medicine, National Taiwan University, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan. mingshiang@ntu.edu.tw.ORCID 0000-0002-1940-6428
National Taiwan University · TWNational Taiwan University Hospital · TWBiodiversity Research Center, Academia Sinica · TWFu Jen Catholic University · TWMackay Medical University · TWNational Health Research Institutes · TWNational Institutes of Applied Research · TWResearch Institute of General Pathology and Pathophysiology, the Russian Academy of Medical Sciences · RUTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The capability of gut microbiota in degrading foods and drugs administered orally can result in diversified efficacies and toxicity interpersonally and cause significant impact on human health. Production of atherogenic trimethylamine N-oxide (TMAO) from carnitine is a gut microbiota-directed pathway and varies widely among individuals. Here, we demonstrated a personalized TMAO formation and carnitine bioavailability from carnitine supplements by differentiating individual TMAO productivities with a recently developed oral carnitine challenge test (OCCT). By exploring gut microbiome in subjects characterized by TMAO producer phenotypes, we identified 39 operational taxonomy units that were highly correlated to TMAO productivity, including Emergencia timonensis, which has been recently discovered to convert γ-butyrobetaine to TMA in vitro. A microbiome-based random forest classifier was therefore constructed to predict the TMAO producer phenotype (AUROC = 0.81) which was then validated with an external cohort (AUROC = 0.80). A novel bacterium called Ihubacter massiliensis was also discovered to be a key microbe for TMA/TMAO production by using an OCCT-based humanized gnotobiotic mice model. Simply combining the presence of E. timonensis and I. massiliensis could account for 43% of high TMAO producers with 97% specificity. Collectively, this human gut microbiota phenotype-directed approach offers potential for developing precision medicine and provides insights into translational research. Video Abstract.

Indexed as

Administration, OralAdultAnimalsCarnitineEubacterialesFemaleHumansMaleMethylaminesMiceMicrobiotaCarnitineMethylaminestrimethyloxamineCardiovascular diseaseEmergencia timonensisGut microbiomeIhubacter massiliensisMachine learningOral carnitine challenge testPersonalized nutritionTrimethylamine N-oxide

Identifiers

PMID33213511
PMCPMC7676756
OpenAlexW3106383433

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.