Evidence map›Paper›PMID 40176079›Full record

ArticleLipids in health and disease2025

AIP, fatty liver, and HbA1c as modifiers of the C-index and diabetes risk relationship.

Yanmei Liu, Rui Shi, Huiying Cao, Jian Zhang, Shuangyue Li, Xilin Kang, Yongjuan Ma, Yudian Wu, Yangfan Guo, Lei Feng

Abstract read
In one paragraph

Article in Lipids in health and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yanmei LiuDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Rui ShiDepartment of Clinical Laboratory, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, 650000, China.
Huiying CaoDepartment of Clinical Laboratory, The First People's Hospital of Honghe State, Yunnan, China.
Jian ZhangDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Shuangyue LiDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Xilin KangDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Yongjuan MaDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Yudian WuDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China.
Yangfan GuoCentral Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, 650000, China. guoyangfan@kmmu.edu.cn.
Lei FengDepartment of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Yunnan, Email, 650000, People's Republic of China. fngj2004@163.com.

Funding

Infection Immunization topic from the Affiliated Qingyuan Hospital(Qingyuan People's Hospital, Guangzhou Medical University 202301-408Kunming Medical University Joint Special Key Project 202301AY070001-024Medical Research Fund from the Affiliated Qingyuan Hospital(Qingyuan People's Hospital, Guangzhou Medical University 20230308National Key Research and Development Program of China 2022YFC2603304Special Funds for Clinical Research from the Affiliated Qingyuan Hospital(Qingyuan People's Hospital, Guangzhou Medical University QYRYCRC2023019the Scientific and Technological Innovation Team in Kunming Medical University CXTD202215Yunnan Academician and Expert Workstation 202205 AF150023
6 · The paper itself

Abstract

BACKGROUND AND

aimsRecent studies have suggested an interplay between conicity index (C-index)-related diabetes risk and lipid burden. It is plausible that the atherogenic index of plasma (AIP), fatty liver, and HbA1c mediate the association between C-index and diabetes risk, though this has not been fully explored. This study explored whether AIP, fatty liver, and HbA1c mediate the relationship between C-index and diabetes risk, as well as their combined effect.

methodsData from 15,453 participants in the NAGALA Cohort were analyzed (median follow-up 5.39 years). Restricted Cubic Spline (RCS) and univariate Cox regression models adjusted for risk factors were used to assess the role of AIP in modifying the C-index-diabetes relationship. Mediation analysis assessed the contributing factors, and predictive models for diabetes were established.

resultsAmong normoglycemic individuals, the AIP and C-index remained significantly and positively associated with diabetes risk. Higher AIP levels strengthened the C-index-diabetes association, particularly in the AIP range of 0.11-≤1.21. In the initial model, hazard ratios (HRs) for those in the fourth quartile of the C-index distribution in this group showed a significant HR of 2.22 (1.37-3.59). As fatty liver and HbA1c levels were progressively adjusted, the HRs gradually decreased, but a significant HR of 1.70 (1.05-2.76) was retained in the fully adjusted model. No significant association was observed in the other AIP strata. Furthermore, AIP, fatty liver, and HbA1c mediated the relationship between C-index and diabetes risk, with mediation effects of 9.8%, 25.0%, and 13.4%, respectively. Notably, the combined model incorporating AIP, fatty liver, HbA1c, and the C-index achieved the highest predictive performance (AUC = 0.86), outperforming the C-index alone (AUC = 0.68).

conclusionsC-index was significantly associated with diabetes risk, modified by AIP, fatty liver, and HbA1c. These findings emphas ize the importance of AIP along with the C-index, particularly in the context of fatty liver and HbA1c, for diabetes risk screening and management.

Indexed as

AtherosclerosisDiabetes MellitusDiabetes Mellitus, Type 2Fatty LiverGlycated HemoglobinAdultAgedFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsGlycated Hemoglobinhemoglobin A1c protein, humanAtherogenic index of plasmaConicity indexDiabetesMediation analysis

Identifiers

PMID40176079
PMCPMC11963646

What Socratic holds

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LicenceCC BY
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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.