Evidence map›Paper›PMID 41480598›Full record

ReviewWorld journal of diabetes2025

Immune activation induced by dysregulated lipid metabolism in the pathogenesis of type 2 diabetes.

Hao-Yu Yang, Yu Wei, Qin Mao, Lin-Hua Zhao

Abstract readReview
In one paragraph

Review in World journal of diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

Hao-Yu YangGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
Yu WeiJiangsu Provincial Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing 225200, Jiangsu Province, China.
Qin MaoCollege of Chinese Medicine, Bozhou University, Bozhou 236000, Anhui Province, China. mq961216@163.com.
Lin-Hua ZhaoAffiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun 130117, Jilin Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is characterized by two core pathological features: Insulin resistance and β-cell dysfunction, with dyslipidemia and immune dysregulation playing critical roles in its pathogenesis. Ectopic lipid deposition and lipotoxicity, resulting from dysregulated lipid metabolism, drive T2DM progression by reshaping immune microenvironments across multiple organs. Over the past two decades, the concept of "immune-metabolic coupling" has gained widespread recognition: Lipotoxicity activates immune cells through pattern recognition receptors, eliciting chronic low-grade inflammation and systematically disrupting insulin signaling pathways. This process involves key metabolic tissues including adipose tissue, liver, skeletal muscle, pancreatic islets, and the intestine. Free fatty acids, inflammatory mediators, extracellular vesicles, and immune cell trafficking collectively form a cross-organ communication network that perpetuates the progression of T2DM. This review systematically summarizes organ-specific immune alterations and their interactive mechanisms, and emphasizes that future research should focus on elucidating the mediators and pathways of inter-organ crosstalk, as well as the origins and migration routes of immune cells. These insights will provide a theoretical foundation for advancing from mere management of T2DM toward the restoration of immunometabolic homeostasis.

Indexed as

Cross-organ communicationImmunityInsulin resistanceLipid metabolism disordersType 2 diabetes mellitus

Identifiers

PMID41480598
PMCPMC12754134

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.