Evidence map›Paper›PMID 33685035›Full record

ArticleDiabetes & metabolism journal2021

Plasma Targeted Metabolomics Analysis for Amino Acids and Acylcarnitines in Patients with Prediabetes, Type 2 Diabetes Mellitus, and Diabetic Vascular Complications.

Xin Li, Yancheng Li, Yuanhao Liang, Ruixue Hu, Wenli Xu, Yufeng Liu

Open access · goldAbstract read
In one paragraph

Article in Diabetes & metabolism journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Liquid Biopsy: A Game Changer for Type 2 Diabetes.International journal of molecular sciences · 2024
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  20. Acylcarnitines: Can They Be Biomarkers of Diabetic Nephropathy?Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    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

6 authors at 3 institutions in 2 countries.

Xin LiSchool of Pharmaceutical Sciences, Liaoning University, Shenyang, China.
Yancheng LiDepartment of Biostatistics, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, FL, USA.
Yuanhao LiangSchool of Pharmaceutical Sciences, Liaoning University, Shenyang, China.
Ruixue HuSchool of Pharmaceutical Sciences, Liaoning University, Shenyang, China.
Wenli XuSchool of Pharmaceutical Sciences, Liaoning University, Shenyang, China.
Yufeng LiuSchool of Pharmaceutical Sciences, Liaoning University, Shenyang, China.
Liaoning University · CNShenyang Pharmaceutical University · CNUniversity of Florida · US

Funding

Innovative Talents Support Program of Liaoning Province LR2018047National Natural Science Foundation of China 81403177Science and Technology Planning Project of Shenyang Science and Technology Bureau F12-277-1-14
6 · The paper itself

Abstract

backgroundWe hypothesized that specific amino acids or acylcarnitines would have benefits for the differential diagnosis of diabetes. Thus, a targeted metabolomics for amino acids and acylcarnitines in patients with diabetes and its complications was carried out.

methodsA cohort of 54 normal individuals and 156 patients with type 2 diabetes mellitus and/or diabetic complications enrolled from the First Affiliated Hospital of Jinzhou Medical University was studied. The subjects were divided into five main groups: normal individuals, impaired fasting glucose, overt diabetes, diabetic microvascular complications, and diabetic peripheral vascular disease. The technique of tandem mass spectrometry was applied to obtain the plasma metabolite profiles. Metabolomics multivariate statistics were applied for the metabolic data analysis and the differential metabolites determination.

resultsA total of 10 cross-comparisons within diabetes and its complications were designed to explore the differential metabolites. The results demonstrated that eight comparisons existed and yielded significant metabolic differences. A total number of 24 differential metabolites were determined from six selected comparisons, including up-regulated amino acids, down-regulated medium-chain and long-chain acylcarnitines. Altered differential metabolites provided six panels of biomarkers, which were helpful in distinguishing diabetic patients.

conclusionOur results demonstrated that the biomarker panels consisted of specific amino acids and acylcarnitines which could reflect the metabolic variations among the different stages of diabetes and might be useful for the differential diagnosis of prediabetes, overt diabetes and diabetic complications.

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesPrediabetic StateAmino AcidsCarnitineHumansMetabolomicsacylcarnitineAmino AcidsCarnitineAmino acidsCarnitineDiabetes mellitus, type 2Metabolomics

Identifiers

PMID33685035
PMCPMC8024149
OpenAlexW3134645880

What OpenQuestion holds

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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.