Evidence map›Paper›PMID 33105558›Full record

ArticleInternational journal of molecular sciences2020

Associations of Arginine with Gestational Diabetes Mellitus in a Follow-Up Study.

Izabela Burzynska-Pedziwiatr, Adrian Jankowski, Konrad Kowalski, Przemyslaw Sendys, Andrzej Zieleniak, Katarzyna Cypryk, Monika Zurawska-Klis, Lucyna A Wozniak, Malgorzata Bukowiecka-Matusiak

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Pathogenesis of Pregnancy-Related Complications 1.0 and 2.0.International journal of molecular sciences · 2022
    Article
  9. Targeted and untargeted metabolomic approach for GDM diagnosis.Frontiers in molecular biosciences · 2022
    Article
  10. Review
  11. 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

9 authors at 1 institution in 1 country.

Izabela Burzynska-PedziwiatrChair of Medical Biology, Laboratory of Metabolomic Studies, Department of Structural Biology, Faculty of Medicine Department of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland.ORCID 0000-0002-3629-0981
Adrian JankowskiChair of Medical Biology, Laboratory of Metabolomic Studies, Department of Structural Biology, Faculty of Medicine Department of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland.
Konrad KowalskiMasdiag Diagnostic Laboratory, Żeromskiego 33, 01-882 Warszawa, Poland.
Przemyslaw SendysMasdiag Diagnostic Laboratory, Żeromskiego 33, 01-882 Warszawa, Poland.
Andrzej ZieleniakChair of Medical Biology, Laboratory of Metabolomic Studies, Department of Structural Biology, Faculty of Medicine Department of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland.ORCID 0000-0002-7353-4578
Katarzyna CyprykDepartment of Diabetology and Internal Diseases, Medical University of Lodz, Pomorska 251, 92-213 Lodz, Poland.
Monika Zurawska-KlisDepartment of Diabetology and Internal Diseases, Medical University of Lodz, Pomorska 251, 92-213 Lodz, Poland.
Lucyna A WozniakChair of Medical Biology, Laboratory of Metabolomic Studies, Department of Structural Biology, Faculty of Medicine Department of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland.ORCID 0000-0002-9966-1807
Malgorzata Bukowiecka-MatusiakChair of Medical Biology, Laboratory of Metabolomic Studies, Department of Structural Biology, Faculty of Medicine Department of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland.ORCID 0000-0002-6021-5711
Medical University of Lodz · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the reported study we applied the targeted metabolomic profiling employing high pressure liquid chromatography coupled with triple quadrupole tandem mass spectrometry (HPLC-MS/MS) to understand the pathophysiology of gestational diabetes mellitus (GDM), early identification of women who are at risk of developing GDM, and the differences in recovery postpartum between these women and normoglycemic women. We profiled the peripheral blood from patients during the second trimester of pregnancy and three months, and one year postpartum. In the GDM group Arg, Gln, His, Met, Phe and Ser were downregulated with statistical significance in comparison to normoglycemic (NGT) women. From the analysis of the association of all amino acid profiles of GDM and NGT women, several statistical models predicting diabetic status were formulated and compared with the literature, with the arginine-based model as the most promising of the screened ones (area under the curve (AUC) = 0.749). Our research results have shed light on the critical role of arginine in the development of GDM and may help in precisely distinguishing between GDM and NGT and earlier detection of GDM but also in predicting women with the increased type 2 diabetes mellitus (T2DM) risk.

Indexed as

AdultAmino AcidsArea Under CurveArginineBiomarkersCluster AnalysisDiabetes, GestationalFemaleFollow-Up StudiesGlucose Tolerance TestHumansPregnancyPregnancy Trimester, SecondPrincipal Component AnalysisAmino AcidsArginineBiomarkersargininefollow-up studiesGDMT2DM risk

Identifiers

PMID33105558
PMCPMC7659483
OpenAlexW3093830129

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.