Evidence map›Paper›PMID 41788409›Full record

ArticleFrontiers in aging neuroscience2026

Insulin resistance (TyG index) and body mass index as metabolic biomarker combined with ApoE genotype to diagnose Alzheimer's disease.

Renyu Chen, Shiyu Fan, Cihan Di, Hao Wu, Zhihong Shi, Feng Liu, Zhaoyang Lv, Shuai Liu, Yong Ji

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Renyu Chen *Huanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Shiyu Fan *Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Cihan DiHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Hao WuHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Zhihong ShiHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Feng LiuHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Zhaoyang LvHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Shuai LiuHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.
Yong JiHuanhu Hospital Affiliated to Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Growing evidence suggests that both ApoE genotype and metabolic disturbances including insulin resistance (IR) and obesity constitute risk factors for Alzheimer's disease (AD). However, large-scale studies investigating whether ApoE genotype interacts with metabolic abnormalities to indirectly impair cognitive function in AD remain scarce. Objective: This cross-sectional study aimed to explore the associations between ApoE genotype, metabolic disturbances [IR assessed by triglyceride-glucose (TyG) index and body mass index (BMI)], and cognitive function in AD patients. Methods: We analyzed 1,162 clinically diagnosed probable AD patients from the Cognitive Impairment Clinic at Tianjin Huanhu Hospital. Participants were categorized by ApoE ε4 carrier status. Metabolic parameters were evaluated using the TyG index and BMI. Mediation effect models were employed to assess the relationships between ApoE genotype, metabolic indices, and cognitive function. Results: ApoE ε4 carriers exhibited significantly lower BMI ( Conclusion: ApoE ε4 carriers demonstrate a distinct metabolic profile characterized by lower BMI and elevated TyG index, associated with poorer cognitive performance. Our findings suggest that ApoE ε4 may indirectly influence AD cognition through metabolic pathways, highlighting early interventions targeting ApoE-related metabolic dysregulation as potential strategies to delay AD progression.

Indexed as

Alzheimer’s diseaseAPOE genebody mass indexinsulin resistanceTyG index

Identifiers

PMID41788409
PMCPMC12957069

What Socratic holds

Textmetadata
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.