Abstract
Background
Alterations to brain macrostructure, assessed via T1-weighted magnetic resonance imaging are observed in preclinical models of Alzheimer’s disease (AD), reflecting susceptibility, prodromal stages of AD or correlates of early AD pathophysiology. While changes in cingulate and medial temporal lobe structures may be functionally implicated in cognitive decline, little is known about the viability of brain-based biomarkers that support autonomic functions implicated in preclinical AD risk such as the brainstem.
Methods
In a series of multiple linear regressions, we assess the volume of the brainstem in two asymptomatic at-AD-risk samples, assessed via the presence of either mild cognitive impairment (MCI, N = 148), or extremely high polygenic risk (N = 13) with matched demographics (mean age = 67 [range 58–76], in both cases). We further determine the strength of the association, compared to 150 other structural MRI features.
Results
We observed brainstem volume reductions (MCI: b = -0.29, P = 0.018; Genetic risk: b = -1.29, P = 0.002) in both samples. The magnitude of each preclinical AD marker (MCI / AD-polygenic risk)– brainstem association was empirically larger (Z > 2.3, P < 0.05, in both cases) than 150 frequently segmented MRI features. We further replicate the negative AD-polygenic risk score– brainstem association in UK Biobank (N = 31968; b = -0.002, P = 0.03), with weaker evidence that the association was larger than all other MRI features (Z = 1.622; P = 0.052).
Conclusions
These observations suggest that AD risk, assessed via the presence of MCI or extremely high AD-polygenic risk score is linked to reduced brainstem volume before most typically observed morphological brain alterations. This conforms with evidence implicating the brainstem as one of the earliest sites of morphological neurodegeneration and provides a plausible biological mechanism linking prodromal autonomic symptoms to AD risk in later life. These observations warrant future investigation into the molecular correlates of AD-linked brainstem dysfunction, assessment as a candidate biomarker, and the exploration of brainstem mediated treatment strategies in AD prevention.
Alterations to brain macrostructure, assessed via T1-weighted magnetic resonance imaging are observed in preclinical models of Alzheimer’s disease (AD), reflecting susceptibility, prodromal stages of AD or correlates of early AD pathophysiology. While changes in cingulate and medial temporal lobe structures may be functionally implicated in cognitive decline, little is known about the viability of brain-based biomarkers that support autonomic functions implicated in preclinical AD risk such as the brainstem.
Methods
In a series of multiple linear regressions, we assess the volume of the brainstem in two asymptomatic at-AD-risk samples, assessed via the presence of either mild cognitive impairment (MCI, N = 148), or extremely high polygenic risk (N = 13) with matched demographics (mean age = 67 [range 58–76], in both cases). We further determine the strength of the association, compared to 150 other structural MRI features.
Results
We observed brainstem volume reductions (MCI: b = -0.29, P = 0.018; Genetic risk: b = -1.29, P = 0.002) in both samples. The magnitude of each preclinical AD marker (MCI / AD-polygenic risk)– brainstem association was empirically larger (Z > 2.3, P < 0.05, in both cases) than 150 frequently segmented MRI features. We further replicate the negative AD-polygenic risk score– brainstem association in UK Biobank (N = 31968; b = -0.002, P = 0.03), with weaker evidence that the association was larger than all other MRI features (Z = 1.622; P = 0.052).
Conclusions
These observations suggest that AD risk, assessed via the presence of MCI or extremely high AD-polygenic risk score is linked to reduced brainstem volume before most typically observed morphological brain alterations. This conforms with evidence implicating the brainstem as one of the earliest sites of morphological neurodegeneration and provides a plausible biological mechanism linking prodromal autonomic symptoms to AD risk in later life. These observations warrant future investigation into the molecular correlates of AD-linked brainstem dysfunction, assessment as a candidate biomarker, and the exploration of brainstem mediated treatment strategies in AD prevention.
| Original language | English |
|---|---|
| Article number | 177 |
| Journal | Alzheimer's Research and Therapy |
| Volume | 17 |
| Early online date | 26 Jul 2025 |
| DOIs | |
| Publication status | Published - 26 Jul 2025 |
Data Availability Statement
Research reported in this publication was supported by the National Institute On Aging of the National Institutes of Health under Award Number U01AG052564 and by funds provided by the McDonnell Center for Systems Neuroscience at Washington University in St. Louis. The HCP-Aging 2.0 Release data used in this report came from DOI: 10.15154/1520707.Acknowledgements
This study was supported by the National Institute for Health and Care Research (NIHR) Exeter Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. Genotyping was performed at deCODE Genetics. This paper represents independent research part funded by the NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London.Funding
European Regional Development Fund - PNU-80762-CU-14; Wellcome Trust - 104943/Z/14/Z, 104943/Z/14/Z; Wellcome - WT224267, WT224267 TL acknowledges funding via Ser Cymru II fellowship [PNU-80762-CU-14]. HC funded by Wellcome Strategic Award [104943/Z/14/Z]. HC, KM are funded by a Wellcome Senior Fellowship [WT200804 and WT224267]. This work is supported by the UK Dementia Research Institute which receives its funding from UK DRI Ltd, funded by the UK Medical Research Council (UKDRI-3003), Alzheimer’s Society and Alzheimer’s Research UK.
Keywords
- Alzheimer’s disease
- Mild cognitive impairment
- Polygenic risk score
- Brainstem
- Preclinical
- MRI
Fingerprint
Dive into the research topics of 'Reductions in brainstem volume as a key macrostructural indicator in at-risk populations for Alzheimer’s disease'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS