Evidence mapPaperPMID 40530831Full record

ArticleHuman brain mapping2025

The Role of Iron Homeostasis Imbalance in T2DM-Associated Cognitive Dysfunction: A Prospective Cohort Study Utilizing Quantitative Susceptibility Mapping.

Zhenyu Cheng, Linfeng Yang, Meng Li, Qihao Zhang, Jing Li, Nan Zhang, Yena Che, Yiwen Chen, Pengcheng Liang, Yuanyuan Wang and 4 more

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Zhenyu ChengSchool of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China.ORCID https://orcid.org/0009-0000-0717-3228
Linfeng YangDepartment of Radiology, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-3228-6926
Meng LiDepartment of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.ORCID https://orcid.org/0000-0002-8320-5241
Qihao ZhangDepartment of Radiology, Weill Cornell Medical College, New York, USA.ORCID https://orcid.org/0000-0002-8054-5849
Jing LiDepartment of Radiology, Beijing Tsinghua Changgung Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-9392-6600
Nan ZhangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0002-6202-9349
Yena CheDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0003-4742-4778
Yiwen ChenKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0009-0007-9411-0145
Pengcheng LiangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0009-0007-7392-2566
Yuanyuan WangSchool of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China.ORCID https://orcid.org/0000-0002-0641-8411
Na WangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0001-6191-4760
Xinyue ZhangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0003-1643-608X
Changhu LiangKey Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0000-0003-3796-2978
Lingfei GuoSchool of Medical Imaging, Binzhou Medical University, Yantai, Shandong, China.ORCID https://orcid.org/0000-0002-4885-625X

Funding

Funding for Study Abroad Program by Shandong Province 201803059Medical and Health Science and Technology Development Project of Shandong Province 202309010557Medical and Health Science and Technology Development Project of Shandong Province 202309010560Medical and Health Science and Technology Development Project of Shandong Province 202409010479National Natural Science Foundation of China 82272072Natural Science Foundation of Shandong Province ZR2020MH288Natural Science Foundation of Shandong Province ZR2024MH026Shandong Province Medical System Employee Science and Technology Innovation Plan SDYWZGKCIH2023034Shandong Province Medical System Employee Science and Technology Innovation Plan SDYWZGKCJH2024021Technology Development Plan of Jinan 202328066
6 · The paper itself

Abstract

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that significantly impacts cognitive health. Although the vascular complications of T2DM have been extensively studied, research on brain iron deposition in T2DM remains scarce, and few studies have directly linked iron accumulation in cognition-related subcortical nuclei to cognitive dysfunction. This study aims to evaluate brain iron deposition using quantitative susceptibility mapping (QSM) and identify key subcortical nuclei associated with T2DM-related cognitive decline. A total of 224 participants were recruited, including 112 T2DM patients and 112 healthy controls. QSM was used to assess iron deposition in subcortical nuclei. Structural equation modeling was employed to construct interaction models between metabolic changes, susceptibility values, and cognitive function. Additionally, polynomial regression analysis was performed to evaluate the association between glycemic variability and the QSM values of subcortical nuclei. Our findings confirmed that T2DM patients exhibited pronounced iron deposition in the caudate and putamen compared to healthy controls. Correlation analyses showed that higher QSM values in the anterior putamen, posterior putamen, and posterior caudate were associated with slower processing speed (SDMT), reduced memory performance (AVLT) and poorer executive function (TMT, SCWT), indicating that greater iron accumulation in these nuclei is associated with poorer cognitive performance. In our SEM, metabolic dysregulation was significantly associated with higher subcortical susceptibility (β = 0.224, p = 0.010). The model further demonstrated that susceptibility values partially mediated the effect of metabolic factors on cognition (indirect effect β = -0.056, p = 0.018) and that the overall impact of metabolic dysregulation on cognition remained significant (β = -0.142, p = 0.037). Polynomial regression found that HbA1c was the strongest predictor of anterior putamen susceptibility, and a similar pattern was observed in the posterior caudate. The study demonstrates that the role of brain iron deposition in T2DM-related cognitive dysfunction. These findings reveal an important underlying mechanism of T2DM-induced cognitive impairment and provide evidence for early intervention strategies to mitigate cognitive decline in T2DM patients.

Indexed as

BrainCaudate NucleusCognitive DysfunctionDiabetes Mellitus, Type 2HomeostasisIronPutamenAgedExecutive FunctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesIroncognitive dysfunctioniron depositionquantitative susceptibility mappingsubcortical nucleitype 2 diabetes

Identifiers

PMID40530831
PMCPMC12175199

What Socratic holds

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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.