Evidence map›Paper›PMID 41478821›Full record

Observational studyThe journal of prevention of Alzheimer's disease2026

Iron dysregulation in cerebral small vessel disease: A quantitative susceptibility mapping study revealing spatial patterns and cognitive predictive value.

Pengcheng Liang, Meng Li, Qihao Zhang, Nan Zhang, Yena Che, Yian Gao, Chaofan Sui, Xinyue Zhang, Na Wang, Yuanyuan Wang and 5 more

Abstract readObservational Study
In one paragraph

Observational study in The journal of prevention of Alzheimer's disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

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.
Meng LiDepartment of Psychiatry and Psychotherapy, Jena University Hospital, Philosophenweg 3, 07743, Jena, Germany.
Qihao ZhangDepartment of Radiology, Weill Cornell Medical College, New York. 407 East 61st Street, NY, NY 10065, USA.
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.
Yena CheKey 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.
Yian GaoChina-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chaofan SuiKey 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.
Xinyue ZhangDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Na WangDepartment of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuanyuan WangBinzhou medical university, Yantai, Shandong, China.
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.
Zhenyu ChengBinzhou medical university, Yantai, Shandong, China.
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. Electronic address: tigerlch@163.com.
Lingfei GuoKey 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. Electronic address: glfsci@163.com.
Jing LiDepartment of Radiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China. Electronic address: lja04485@btch.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhite matter hyperintensities (WMHs) represent a cardinal feature of cerebral small vessel disease (CSVD), yet iron dysregulation alterations within these lesions and their relationship to cognitive decline remains poorly understood.

objectivesTo characterize iron dysregulation in WMH using quantitative susceptibility mapping (QSM) and examine their relationship with CSVD severity and cognitive function.

designCross-sectional study with longitudinal follow-up component.

settingSingle-center study at Shandong Provincial Hospital Affiliated with Shandong First Medical University, China.

participants299 participants recruited from January 2021 to September 2023, with 71 participants completing longitudinal follow-up (mean interval 20.6 months). Participants were categorized into early CSVD (0 points, n = 171), mild CSVD (1 point, n = 70), and severe CSVD (≥2 points, n = 58) groups based on total burden scoring.

interventionNone (observational study). MEASUREMENTS: 3.0T MRI with quantitative susceptibility mapping and diffusion tensor imaging. Spatial analysis examined susceptibility values in WMH cores and perilesional zones (0-2 mm, 2-4 mm, 4-6 mm). Cognitive assessments included Montreal Cognitive Assessment (MoCA), Symbol Digit Modalities Test (SDMT), and other neuropsychological tests.

resultsWMH susceptibility values were significantly lower than normal-appearing white matter (-14.55 vs -7.77 ppb, P < 0.001) with progressive increases correlating with CSVD severity (P < 0.001). Cross-sectionally, higher WMH susceptibility values correlated with lower MoCA scores (r = -0.155, P = 0.045). Longitudinally, WMH susceptibility values predicted decline in information processing speed (SDMT: β = -0.247, P = 0.042). Spatial analysis revealed distinct patterns with perilesional regions showing intermediate susceptibility values.

conclusionsIron dysregulation alterations within WMH provide independent information about cognitive risk in CSVD. QSM emerges as a promising biomarker for monitoring cognitive trajectory and may facilitate early identification of patients at risk for cognitive decline.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionIronWhite MatterAgedCognitionCross-Sectional StudiesDiffusion Tensor ImagingFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedIronCerebral small vessel diseaseCognitive impairmentNeuroimaging biomarkersQuantitative susceptibility mappingWhite matter hyperintensities

Identifiers

PMID41478821
PMCPMC12869043

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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 OpenQuestion graph.