# Association of the atherogenic index of plasma and other lipid indices with abnormal glucose metabolism in patients with ischemic stroke

**Authors:** Ting Liu, Weizhen Li, Shiwen Zhang, Ye Wang, Xin Zou, Yiran Zhao, Jiawen Dong, Lin Zhu, Shencheng Luo, Bernhard Kolberg, Jing Li

PMC · DOI: 10.3389/fendo.2025.1677653 · Frontiers in Endocrinology · 2025-10-06

## TL;DR

This study finds that the atherogenic index of plasma is strongly linked to abnormal glucose metabolism in stroke patients, especially in older adults and women.

## Contribution

The study is the first to evaluate AIP's association with prediabetes and type 2 diabetes in a large ischemic stroke cohort.

## Key findings

- AIP showed the highest specificity in linking to prediabetes and type 2 diabetes compared to other lipid indices.
- The strongest correlation was observed in the highest tertile of AIP and in patients aged 60 and above or females.
- A non-linear dose-response relationship was found between AIP and type 2 diabetes across all age and gender groups.

## Abstract

To evaluate the relationship of the atherogenic index of plasma (AIP) and other lipid indices with prediabetes mellitus (Pre-DM) and type 2 diabetes mellitus (T2DM) in patients with ischemic stroke (IS), with a focus on exploring the clinical application value of AIP in the assessment of glucose metabolism disorders.

This study was conducted for the first time based on a large-scale IS cohort. 18,604 patients with IS were enrolled and subjected to comprehensive lipid profile assessments. The correlation between AIP and other commonly used lipid indices was systematically compared. Based on glucose levels, the patients were divided into three groups: normal glucose (NG), Pre-DM, and T2DM. The relationship of AIP and other lipid indices with Pre-DM and T2DM was evaluated through multivariable logistic regression. Furthermore, the dose-response correlation of AIP with Pre-DM and T2DM across varying genders and age groups was explored through the Restricted Cubic Spline (RCS) model, which was employed to analyze non-linear associations between variables.

We found that triglyceride (TG), total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)/HDL-C, TG/HDL-C, non-HDL-C, remnant cholesterol (RC), RC/HDL-C, and AIP were all positively correlated with Pre-DM and T2DM. Notably, AIP demonstrated the highest specificity in this context. AIP was then divided into tertiles, with the T3 group showing the strongest correlation with both conditions compared with the T1 group. The correlation was stronger among females and patients aged ≥60 years. RCS analysis further indicated a non-linear positive dose-response relationship between AIP and T2DM across all genders and ages.

In IS patients, AIP exhibits a stronger association with Pre-DM and T2DM than other lipid indices, especially in female patients and those aged 60 years and above.

Pre-DM, prediabetes mellitus; T2DM, type 2 diabetes mellitus; AIP, atherogenic index of plasma; IS, ischemic stroke; TC, total cholesterol; TG, triglycerides; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; RC, remnant cholesterol.

Diagram illustrating the relationship between AIP and lipid levels with pre-diabetes and type 2 diabetes in ischemic stroke patients. It includes a lipid test and shows categories such as male versus female, age groups under and over sixty, and pre-diabetes versus type 2 diabetes. It highlights abnormal glucose metabolism.

## Linked entities

- **Diseases:** type 2 diabetes mellitus (MONDO:0005148), ischemic stroke (MONDO:1060198)

## Full-text entities

- **Diseases:** T2DM (MESH:D003924), abnormal glucose metabolism (MESH:D044882), atherogenic (MESH:D050197), IS (MESH:D002544), DM (MESH:D009223), prediabetes mellitus (MESH:D011236)
- **Chemicals:** glucose (MESH:D005947), cholesterol (MESH:D002784), RC (-), lipid (MESH:D008055), TG (MESH:D014280)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12535879/full.md

## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12535879/full.md

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Source: https://tomesphere.com/paper/PMC12535879