Evidence map›Paper›PMID 34032389›Full record

Observational studyJournal of diabetes investigation2021

Evaluation of change in metabolome caused by comprehensive diabetes treatment: A prospective observational study of diabetes inpatients with gas chromatography/mass spectrometry-based non-target metabolomic analysis.

Naohiro Taya, Naoto Katakami, Kazuo Omori, Shoya Arakawa, Shigero Hosoe, Hirotaka Watanabe, Mitsuyoshi Takahara, Kazuyuki Miyashita, Hitoshi Nishizawa, Taka-Aki Matsuoka and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Characterizing poorly controlled type 2 diabetes usingMetabolomics : Official journal of the Metabolomic Society · 2024
    Article
  6. Review
  7. Review
  8. Observational
  9. Article
  10. Review
  11. Observational
  12. 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

15 authors at 3 institutions in 1 country.

Naohiro TayaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Naoto KatakamiDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-9020-8320
Kazuo OmoriDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Shoya ArakawaLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
Shigero HosoeDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Hirotaka WatanabeDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Mitsuyoshi TakaharaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-5105-041X
Kazuyuki MiyashitaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0001-7499-9919
Hitoshi NishizawaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID https://orcid.org/0000-0002-7845-9693
Taka-Aki MatsuokaDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
Masahiro FurunoLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
Takeshi BambaDivision of Metabolomics, Research Center for Transomics Medicine, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Junko IidaShimadzu Corporation, Kyoto, Japan.
Eiichiro FukusakiLaboratory of Bioresource Engineering, Department of Biotechnology, Graduate School of Engineering, Osaka University, Osaka, Japan.
Iichiro ShimomuraDepartment of Metabolic Medicine, Osaka University Graduate School of Medicine, Osaka, Japan.
The University of Osaka · JPKyushu University · JPShimadzu (Japan) · JP

Funding

Japan Agency for Medical Research and Development JP19gm0710005
6 · The paper itself

Abstract

AIMS/

introductionDiabetes patients develop a variety of metabolic abnormalities in addition to hyperglycemia. However, details regarding change in various metabolites after comprehensive diabetes treatment remain unknown. This study aimed to identify the short-term change in metabolome in inpatients who were subject to comprehensive diabetes treatment, using gas chromatography/mass spectrometry-based non-target metabolomics techniques. MATERIALS AND

methodsParticipants of the present study were randomly recruited from the patients with type 2 diabetes hospitalized due to problems with glycemic control (n = 31) and volunteers without diabetes (n = 30), both of whom were aged between 20 and 75 years. A metabolomic analysis of fasting plasma samples on the 2nd (pre-treatment) and 16th hospital (post-treatment) day with gas chromatography/mass spectrometry using a multiple reaction monitoring mode was carried out.

resultsA principal component analysis showed that metabolome of fasting plasma was different between individuals with and without diabetes. The metabolome of fasting plasma in diabetes patients after treatment was different from that of pre-treatment, as well as individuals without diabetes. Many amino acids (proline, glycine, serine, threonine, methionine, pyroglutamic acid, glutamine and lysine) were significantly increased by >10% after administering the inpatient diabetes treatment. A hierarchical clustering analysis showed that in the case of patients with markedly decreased monosaccharide levels and increased 1,5-anhydroglucitol, the levels of amino acids increased more significantly.

conclusionsAfter a 2-week comprehensive treatment, the plasma levels of various amino acids increased in conjunction with the reduction in monosaccharide levels in poorly controlled type 2 diabetes patients.

Indexed as

Gas Chromatography-Mass SpectrometryMetabolomeAdultAgedAmino AcidsCase-Control StudiesCluster AnalysisDiabetes Mellitus, Type 2FastingFemaleGlycemic ControlHumansInpatientsMaleMetabolomicsMiddle AgedAmino AcidsMonosaccharidesAmino acidsDiabetes treatmentMetabolomics

Identifiers

PMID34032389
PMCPMC8668060
OpenAlexW3164030471

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.