Evidence map›Paper›PMID 35257467›Full record

ArticleDiabetes, obesity & metabolism2022

Integrated metagenomics and metabolomics analysis illustrates the systemic impact of the gut microbiota on host metabolism after bariatric surgery.

Yeyoung Han, Gihyeon Kim, Eunyong Ahn, Sunhee Jung, Youngae Jung, Yunjae Kim, Eunyoung Ha, Yoonseok Heo, Do Hyun Ryu, Hansoo Park and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Novel Techniques and Models for Studying the Role of the Gut Microbiota in Drug Metabolism.European journal of drug metabolism and pharmacokinetics · 2024
    Review
  6. Article
  7. The gut microbiome: a core regulator of metabolism.The Journal of endocrinology · 2023
    Review
  8. Article
  9. Article
  10. Review
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

11 authors at 6 institutions in 1 country.

Yeyoung HanIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, Korea.
Gihyeon KimBiomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea.ORCID 0000-0002-9118-3919
Eunyong AhnIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, Korea.
Sunhee JungIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, Korea.
Youngae JungIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, Korea.
Yunjae KimBiomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea.
Eunyoung HaDepartment of Biochemistry, School of Medicine, Keimyung University, Daegu, Korea.ORCID 0000-0003-4686-6179
Yoonseok HeoDepartment of Surgery, College of Medicine, Inha University, Incheon, Korea.
Do Hyun RyuDepartment of Chemistry, Sungkyunkwan University, Suwon-si, Gyeonggi-do, Korea.
Hansoo ParkBiomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Korea.
Geum-Sook HwangIntegrated Metabolomics Research Group, Western Seoul Center, Korea Basic Science Institute, Seoul, Korea.ORCID 0000-0002-1600-1556
Korea Basic Science Institute · KRGwangju Institute of Science and Technology · KREwha Womans University · KRInha University · KRKeimyung University · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore how bariatric surgery (BS) modified the obesity-associated gut microbiome, the host metabolome, and their interactions in obese Korean patients. MATERIALS AND

methodsStool and fasting blood samples were obtained before and 1, 3, 6, and 12 months after BS from 52 patients enrolled in the Korean Obesity Surgical Treatment Study. We analysed the gut microbiome by 16S rRNA gene sequencing and the serum metabolome, including bile acids, by nuclear magnetic resonance spectroscopy and ultrahigh-performance liquid chromatography/triple quadrupole mass spectrometry.

resultsStool metagenomics showed that 27 microbiota were enriched and 14 microbiota were reduced after BS, whereas the abundances and diversity of observed features were increased. The levels of branched-chain amino acids and metabolites of energy metabolism in serum were decreased after surgery, whereas the levels of metabolites related to microbial metabolism, including dimethyl sulphone, glycine, and secondary bile acids, were increased in the serum samples. In addition, we found notable mutual associations among metabolites and gut microbiome changes attributed to BS.

conclusionsChanges in the gut microbiome community and systemic levels of amino acids and sugars were directly derived from anatomical changes in the gastrointestinal tract after BS. We hypothesized that the observed increases in microbiome-related serum metabolites were a result of complex and indirect changes derived from BS. Ethnic-specific environmental or genetic factors could affect Korean-specific postmetabolic modification in obese patients who undergo BS.

Indexed as

Bariatric SurgeryGastrointestinal MicrobiomeBile Acids and SaltsHumansMetabolomeMetabolomicsMetagenomicsObesityRNA, Ribosomal, 16SBile Acids and SaltsRNA, Ribosomal, 16Sbariatric surgerycorrelation analysisgut microbiomemetabolomicsomics integration

Identifiers

PMID35257467
PMCPMC9313881
OpenAlexW4220969792

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.