Evidence map›Paper›PMID 31697702›Full record

ArticlePloS one2019

Metabolomics profiles associated with HbA1c levels in patients with type 2 diabetes.

Jun Ho Yun, Heun-Sik Lee, Ho-Yeong Yu, Yeon-Jung Kim, Hyun Jeong Jeon, Taekeun Oh, Bong-Jo Kim, Hyung Jin Choi, Jeong-Min Kim

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. 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
0.8field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Characterizing poorly controlled type 2 diabetes usingMetabolomics : Official journal of the Metabolomic Society · 2024
    Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Metabolic differences among newborns born to mothers with a history of leukemia or lymphoma.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Observational
  14. Article
  15. HbA1c as an Independent Predictor of Peripheral Artery Disease: Nonlinear Threshold and Causal Evidence from NHANES and Mendelian Randomization.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Observational
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

9 authors at 3 institutions in 1 country.

Jun Ho YunDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.
Heun-Sik LeeDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.
Ho-Yeong YuDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.
Yeon-Jung KimDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.
Hyun Jeong JeonDepartment of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Chungbuk, Republic of Korea.ORCID 0000-0003-2841-0688
Taekeun OhDepartment of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, Chungbuk, Republic of Korea.
Bong-Jo KimDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.
Hyung Jin ChoiDepartment of Biomedical Sciences & Department of Anatomy and Cell Biology, Wide River Institute of Immunology, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0593-6978
Jeong-Min KimDivision of Genome Research, Center for Genome Science, Korea National Institute of Health, Cheongju, Chungbuk, Republic of Korea.ORCID 0000-0002-4305-5162
Korea National Institute of Health · KRChungbuk National University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycated hemoglobin (HbA1c) is an indicator of the average blood glucose concentration. Failing to control HbA1c levels can accelerate the development of complications in patients with diabetes. Although metabolite profiles associated with HbA1c level in diabetes patients have been characterized using different platforms, more studies using high-throughput technology will be helpful to identify additional metabolites related to diabetes. Type 2 diabetes (T2D) patients were divided into two groups based on the HbA1c level: normal (HbA1c ≤6%) and high (HbA1c ≥9%) in both discovery and replication sets. A targeted metabolomics approach was used to quantify serum metabolites and multivariate logistic regression was used to identify significant differences between groups. The concentrations of 22 metabolites differed significantly between the two groups in the discovery set. In the replication set, the levels of 21 metabolites, including 16 metabolites identified in the discovery set, differed between groups. Among these, concentrations of eleven amino acids and one phosphatidylcholine (PC), lysoPC a C16:1, were higher and four metabolites, including three PCs (PC ae C36:1, PC aa C26:0, PC aa C34:2) and hexose, were lower in the group with normal HbA1c group than in the group with high HbA1c. Metabolites with high concentrations in the normal HbA1c group, such as glycine, valine, and PCs, may contribute to reducing HbA1c levels in patients with T2D. The metabolite signatures identified in this study provide insight into the mechanisms underlying changes in HbA1c levels in T2D.

Indexed as

MetabolomicsAgedAmino AcidsBiomarkersBlood GlucoseDiabetes Mellitus, Type 2FemaleGlucoseGlycated HemoglobinGlycineHexosesHumansInsulin ResistanceMaleMiddle AgedPhosphatidylcholinesAmino AcidsBiomarkersBlood GlucoseGlucoseGlycated HemoglobinGlycinehemoglobin A1c protein, humanHexosesPhosphatidylcholinesValine

Identifiers

PMID31697702
PMCPMC6837371
OpenAlexW2985923459

What Socratic 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 Socratic graph.