Evidence map›Paper›PMID 39590846›Full record

ArticleMetabolites2024

Untargeted and Targeted Lipidomics Unveil Dynamic Lipid Metabolism Alterations in Type 2 Diabetes.

Li Feng, Bingshu He, Jianzhen Xia, Zhonghua Wang

Abstract read
In one paragraph

Article in Metabolites, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  7. Article
  8. Serum Lipidomic Analysis of T2DM Patients: A Potential Biomarker Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    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

4 authors.

Li FengSchool of Agroforestry and Medicine, The Open University of China, Beijing 100039, China.ORCID 0009-0005-4348-9154
Bingshu HeCenter for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.
Jianzhen XiaSchool Hospital, Minzu University of China, Beijing 100081, China.
Zhonghua WangCenter for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China.

Funding

National Natural Science Foundation of China 81803483
6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) is a complex metabolic disorder with a growing body of evidence suggesting the central role of lipid metabolism in its pathogenesis. However, the dynamic changes in lipid metabolism across different stages of T2DM remain understudied.

objectiveThis study aimed to elucidate the temporal alterations in lipid metabolism in T2DM using an integrated lipidomics approach.

methodSerum samples from 155 subjects were analyzed using LC-MS-based lipidomics, including untargeted and targeted approaches.

resultsWe identified significant alterations in 44 lipid metabolites in newly diagnosed T2DM patients and 29 in high-risk individuals, compared with healthy controls. Key metabolic pathways such as sphingomyelin, phosphatidylcholine, and sterol ester metabolism were disrupted, highlighting the involvement of insulin resistance and oxidative stress in T2DM progression. Moreover, 13 lipid metabolites exhibited diagnostic potential for T2DN, showing consistent trends of increase or decrease as the disease progressed.

conclusionOur findings underscore the importance of lipid metabolism in T2D development and identify potential lipid biomarkers for early diagnosis and monitoring of disease progression, which contribute to paving the way for novel therapeutic strategies.

Indexed as

early diagnosislipid metabolismlipidomicstype 2 diabetes

Identifiers

PMID39590846
PMCPMC11596168

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.