Evidence mapPaperPMID 42328658Full record

ArticleIBRO neuroscience reports2026

Metabolic profile association with white matter hyperintensity in patients with mild cognitive impairment.

Armin Ariaei, Raziyeh Zamiri, Amirabbas Ghasemi, Bahareh Rezayani, Shayesteh Rezayani, Aylar Ezatpour, Narges Farshidi, Elham Asghari Sheikhi, Ali Roghanian, Alzheimer’s Disease Neuroimaging Initiative and 1 more

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Article in IBRO neuroscience reports, 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

11 authors.

Armin AriaeiCellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
Raziyeh ZamiriDepartment of General Psychology, University of Padua, Italy.
Amirabbas GhasemiSchool of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Bahareh RezayaniSchool of Basic Sciences, Zanjan University, Zanjan, Iran.
Shayesteh RezayaniSchool of Basic Sciences, Islamic Azad University, Garmsar, Iran.
Aylar EzatpourSchool of Natural Sciences, University of Tabriz, Tabriz, Iran.
Narges FarshidiSchool of Pharmacy, Hormozgan University of Medical Sciences, Hormozgan, Iran.
Elham Asghari SheikhiFaculty of Psychology and Education Sciences, Islamic Azad University, Gorgan, Iran.
Ali RoghanianFaculty of Psychology and Education Sciences, Islamic Azad University, Garmsar, Iran.
Alzheimer’s Disease Neuroimaging Initiative
Alzheimer's Disease Metabolomics Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain vasculopathy, including cerebral white matter hyperintensity (WMH), is highly associated with mild cognitive impairment (MCI) and Alzheimer's disease (AD) pathology. Metabolite levels provide clues to illuminate the mechanism of WMH in MCI. Therefore, the current study investigated the association between metabolite profile and WMH in MCI. Metabolite profiles and WMH data of MCI patients with three consecutive years of follow-up were retrospectively extracted from the ADNI database. Multivariate logistic regression and mixed model regression adjusted for age, gender, education, and ADAS-Cog13 were used to evaluate the association between metabolite levels and WMH. A total number of 189 subjects were included in this study, allocated into three groups of healthy individuals (n = 67), mild cognitive impairment (n = 112), and AD (n = 10). Based on the multivariate logistic regression, methionine, deoxycholic acid, trimethylamine N-oxide, glutamic acid, and alanine, palmitoylethanolamide, and arachidonic acid positively correlated with WMH (OR:4.014 [95% CI: 1.329-12.128]; OR: 1.272 [95% CI: 1.076-1.504]; OR: 1.839 [95% CI: 1.007-1.390]; OR: 8.474 [95% CI: 2.730-26.300]; OR: 3.532 [95% CI: 1.544-8.076]; OR: 2.486 [95% CI: 1.152-5.364]; OR:2.110 [95% CI: 1.003-4.440], respectively), while tyrosine, proline, histidine, and beta-aminobutyric acid negatively correlated with WMH (OR:0.287 [95% CI:0.092-0.894]; OR:0.381 [95% CI:0.162-0.894]; OR:0.240 [95% CI:0.059-0.982]; OR: 0.598 [95% CI: 0.382-0.939], respectively). The association of metabolite levels with WMH in the MCI group is complex. One of the suggested mechanisms is amino acid overconsumption in the MCI group, resulting in decreasing their detected level in the serum while accumulation of their metabolites in the brain increases the risk of WMH.

Indexed as

Alzheimer’s diseaseLiquid chromatographyMetabolite profileWhite matter hyperintensity

Identifiers

PMID42328658
PMCPMC13276425

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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.