Evidence map›Paper›PMID 36743922›Full record

ArticleFrontiers in endocrinology2022

Integrated lipids biomarker of the prediabetes and type 2 diabetes mellitus Chinese patients.

Jiaying Yang, Mei Wang, Dawei Yang, Han Yan, Zhigang Wang, Dan Yan, Na Guo

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Serum Lipidomic Analysis of T2DM Patients: A Potential Biomarker Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  9. Article
  10. Review
  11. Article
  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

7 authors.

Jiaying YangExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Mei WangExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Dawei YangZhong Yuan Academy of Biological Medicine, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Han YanExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.
Zhigang WangCollege of Pharmacy, Heilongjiang University of Traditional Chinese Medicine, Heilongjiang, China.
Dan YanBeijing Institute of Clinical Pharmacy, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Na GuoExperimental Research Center, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dyslipidemia is a hallmark of T2DM, and as such, analyses of lipid metabolic profiles in affected patients have the potential to permit the development of an integrated lipid metabolite-based biomarker model that can facilitate early patient diagnosis and treatment. Methods: Untargeted and targeted lipidomics approaches were used to analyze serum samples from newly diagnosed 93 Chinese participants in discovery cohort and 440 in validation cohort Results and Discussion: Through these analyses, we developed a novel integrated biomarker signature composed of LPC 22:6, PC(16:0/20:4), PE(22:6/16:0), Cer(d18:1/24:0)/SM(d18:1/19:0), Cer(d18:1/24:0)/SM(d18:0/16:0), TG(18:1/18:2/18:2), TG(16:0/16:0/20:3), and TG(18:0/16:0/18:2). The area under the curve (AUC) values for this integrated biomarker signature for prediabetes and T2DM patients were 0.841 (cutoff: 0.565) and 0.894 (cutoff: 0.633), respectively. Furthermore, theresults of western blot analysis of frozen adipose tissue from 3 week (prediabetes) and 12 week (T2DM) Goto-Kakizaki (GK) rats also confirmed that acid sphingomyelinase is responsible for significant disruptions in ceramide and sphingomyelin homeostasis. Network analyses of the biomarkers associated with this biosignature suggested that the most profoundly affected lipid metabolism pathways in the context of diabetes include

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAnimalsBiomarkersCeramidesEast Asian PeopleHumansRatsSphingomyelin PhosphodiesteraseSphingomyelinsTandem Mass SpectrometryBiomarkersCeramidesSphingomyelin PhosphodiesteraseSphingomyelinsceramidelipidomicsprediabetestype 2 diabetes mellitusUHPLC-MS

Identifiers

PMID36743922
PMCPMC9897314

What Socratic 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 Socratic graph.