Evidence map›Paper›PMID 42157314›Full record

ArticleAlzheimer's research & therapy2026

Metabolic parameter variability, brain structure, perfusion, and cognition: a population-based study.

Xiaoshuai Li, Xuejia Li, Mengmeng Bai, Ling Yang, Jing Chen, Jiacheng Fan, Huijing Shi, Rui Li, Xiaoliang Liang, Shun Zhang and 10 more

Abstract read
In one paragraph

Article in Alzheimer's research & therapy, 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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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

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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

20 authors.

Xiaoshuai Li *Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Xuejia Li *Department of Radiology, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, Shandong Province, 266001, China.
Mengmeng BaiHebei North University, Zhangjiakou, Hebei Province, 075000, China.
Ling YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jing ChenDepartment of CT, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China.
Jiacheng FanDepartment of Psychiatry, Kailuan Mental Health Center, Jixiang Road, Hua Yuan Street, Lunan District, Tangshan, Hebei Province, 063000, China.
Huijing ShiDepartment of Rheumatology and Immunology, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China.
Rui LiDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Xiaoliang LiangDepartment of Psychiatry, Kailuan Mental Health Center, Jixiang Road, Hua Yuan Street, Lunan District, Tangshan, Hebei Province, 063000, China.
Shun ZhangDepartment of Psychiatry, Kailuan Mental Health Center, Jixiang Road, Hua Yuan Street, Lunan District, Tangshan, Hebei Province, 063000, China.
Pengfei ZhaoDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Jing LiBeijing Tsinghua Changgung Hospital, Beijing, 102218, China.
Han LvDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China.
Zhenghan YangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Zhenjian YuDepartment of Psychiatry, Kailuan Mental Health Center, Jixiang Road, Hua Yuan Street, Lunan District, Tangshan, Hebei Province, 063000, China.
Yuntao WuDepartment of Cardiology, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China.
Ying HuiDepartment of MR, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China. huiyingct@163.com.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, No. 57 Xinhua East Road, Tangshan, Hebei Province, 063000, China. drwusl@163.com.
Zhenchang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China. cjr.wzhch@vip.163.com.

Funding

Beijing key Clinical Discipline Funding 2021-135Beijing Natural Science Foundation Youth Science Fund Key Project JR25018Beijing Scholar 2015 2015-160National Natural Science Foundation of China 82202109Natural Science Foundation of Beijing Municipality 7232335
6 · The paper itself

Abstract

backgroundMetabolic instability can affect cognitive function, but the mechanisms are largely unknown. To address this, we investigated the association between metabolic parameter variability, brain volume, cerebral blood flow (CBF), and cognitive performance, and evaluated whether CBF and brain volume mediate this relationship.

methodsParticipants were prospectively included from the Kailuan study. Between 2006 and 2020, the variability in metabolic parameters such as systolic blood pressure, fasting blood glucose, low-density lipoprotein cholesterol, and body mass index was evaluated using the coefficient of variation (CV). Starting in 2020, brain MRI and the Montreal Cognitive Assessment (MoCA) were performed continuously as part of the seventh follow-up visit and subsequent assessments. Generalized linear regression models were used to analyze the associations between metabolic variability, CBF, brain volume, and cognitive performance. Mediation analysis was performed to evaluate the mediation effects of CBF or brain volume.

resultsA total of 1894 participants (mean age, 55.4 ± 10.9 years; 51.8% male) were included. High variability scores of metabolic parameters were associated with lower CBF in total brain (β [95% confidence interval]: -2.02 [-3.73, -0.30]), total white matter (WM) (-3.04 [-4.72, -1.37]), temporal lobe (-1.82 [-3.60, -0.03]), and hippocampus (-1.91 [-3.65, -0.17]), as well as decreased volume in both total gray matter (GM) (-5.64 [-11.24, -0.04]) and temporal lobe (-1.70 [-3.16, -0.25]). High variability in metabolic parameters was associated with reduced MoCA scores (-0.98 [-1.75, -0.20]). After multiple comparison correction, the association with total WM CBF remained significant. Decreased brain volume and CBF were associated with reduced MoCA scores (P < 0.05). Mediation analysis revealed that the association between variability in metabolic parameters and MoCA scores was mediated by total WM CBF, total GM volume, and temporal lobe volume, accounting for 7.518%, 5.619%, and 6.864% of the effect, respectively.

conclusionReduced total WM CBF, GM volume, and temporal lobe volume mediated the association between elevated metabolic variability and cognitive decline, with total WM CBF showing the most robust mediating effect.

Indexed as

BrainCerebrovascular CirculationCognitionAgedFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesBrain volumeCerebral blood flowCoefficient of variationCognitive functionMediation analysesMetabolic parameter variability

Identifiers

PMID42157314
PMCPMC13360039

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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.