Evidence map›Paper›PMID 42157048›Full record

ArticleJournal of translational medicine2026

Lipidomic signatures associated with cognitive impairment in type 1 diabetes mellitus: a pilot study integrating clinical serum and mouse hippocampus.

Hang Min, Jiayu Li, Jue Wang, Shan Su, Yujie Zhang, Limin Tian

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Article in Journal of translational medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Hang MinThe First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
Jiayu LiThe First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
Jue WangThe First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China.
Shan SuDepartment of Endocrinology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Yujie ZhangDepartment of Endocrinology, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Limin TianDepartment of Endocrinology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. tianliming@med.uestc.edu.cn.ORCID 0009-0008-1221-5523

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairment in Type 1 diabetes mellitus (T1DM) was linked to abnormal lipid metabolism, and its related metabolic alterations remain unclear. Lipidomics may provide novelty insights into the pathophysiology of cognitive impairment in T1DM.

methodsThis study aimed to explore lipidomic alterations and identify potential lipidomic signatures associated with cognitive impairment in T1DM patients and mice. In this clinical study, cognitive assessments and serum samples were obtained from T1DM patients without mild cognitive impairment (T1DM-noMCI, n = 36), T1DM patients with mild cognitive impairment (T1DM-MCI, n = 33) and healthy controls (NC, n = 32). Serum lipidomic profiles were analyzed to identify metabolites and metabolic pathways in T1DM patients. Correlation between cognitive scores and levels of differential metabolites were assessed, and the diagnostic performance of biomarkers was evaluated using receiver operator characteristic (ROC) curve. In the animal experiments, Morris water maze (MWM) tests were performed on normal control mice (NC, n = 12) and T1DM mice (n = 24). Hippocampal tissues were harvested for lipidomic analysis to detect lipid metabolic changes in T1DM mice.

resultsThe clinical serum lipidomic patterns in T1DM-noMCI and T1DM-MCI groups were significantly different from those of HCs, and metabolite alterations between T1DM-noMCI and T1DM-MCI groups were also dramatical. Pathway enrichment analysis found that T1DM-noMCI and T1DM-MCI groups had a significant impact on glycerophospholipid metabolism. Cognitive scores were negatively related to serum levels of specific metabolites. We successfully selected 13 lipidomic biomarkers to differentiate T1DM-MCI patients, with good diagnostic efficiency. The hippocampus lipidomic patterns in T1DM mice with cognitive decline were also significantly different from those of NCs, while metabolite alterations in T1DM mice with different levels of cognitive decline were dramatically similar. Notably, the lipid metabolic pathways enriched in the hippocampus of T1DM mice showed remarkable concordance with most of those identified in the clinical serum analysis.

conclusionsIn this exploratory study, specific signatures in lipid metabolism, particularly glycerophospholipid metabolism, were associated with cognitive impairment in T1DM.

Indexed as

Cognitive DysfunctionDiabetes Mellitus, Type 1HippocampusLipidomicsLipidsAdultAnimalsBiomarkersCase-Control StudiesFemaleHumansMaleMicePilot ProjectsROC CurveBiomarkersLipidsCognitive impairmentLipidomicsType 1 diabetes mellitus

Identifiers

PMID42157048
PMCPMC13366961

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LicenceCC BY-NC-ND
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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.