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RESEARCH PAPER / 2026-06-11

Cerebral hypoperfusion and the vascular-metabolic-immune-glymphatic network in Alzheimer's disease: mechanisms, diagnosis, and therapy.

Mingyuan Yao, Annan Liu, Jing Song, Liping Xing, Mingsheng Zi, Honglin Li

Heilongjiang University of Chinese Medicine, No. 24 Heping Road, Xiangfang District, Harbin, Heilongjiang Prov 150040, China. Electronic address: [email protected]. · pubmed

Abstract

Alzheimer's disease (AD), characterized by progressive cognitive decline, represents a major public health challenge in aging societies. Since the proposal of the amyloid cascade hypothesis, Aβ-targeted therapeutic strategies have dominated this field for over three decades. Although recent anti-Aβ antibodies have shown modest promise, their limited clinical benefits coupled with safety concerns underscore the necessity of re-evaluating the pathological mechanisms underlying AD. Cerebral hypoperfusion (CH), a detectable alteration emerging in the preclinical stage of AD, has garnered increasing attention for its potential driving role in disease pathogenesis. This review proposes a "vascular-metabolic-immune-glymphatic" (VMIG) pathological network model originating from CH: CH induces pericyte damage, astrocyte end-feet impairment, and extracellular matrix degradation, thereby resulting in neurovascular unit dysfunction; reduces oxygen and glucose delivery, precipitating mitochondrial energy failure and reactive oxygen species overproduction, which in turn initiates neuroinflammatory cascades; and attenuates arterial pulsation-driven flow while disrupting perivascular space architecture, culminating in glymphatic system clearance dysfunction. These mechanisms are intricately interconnected, establishing a self-perpetuating pathological loop. Building upon the VMIG framework, this review integrates multimodal neuroimaging techniques (ASL-MRI, Aβ/tau-PET, DTI-ALPS) with peripheral biomarkers (VEGF/Ang-2, sTREM2/GFAP, sPDGFRβ/Aβ42 ratio) to establish a comprehensive system for early diagnosis and stratified assessment of AD. Furthermore, we advocate for temporally sequenced combinatorial therapeutic strategies targeting the pathological network and discuss the translational potential of nanoparticle-based co-delivery systems. The VMIG model offers an integrative framework for understanding the multi-system dysregulation inherent to AD, facilitating a paradigm shift from single-target intervention toward network-based restoration.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper proposes a comprehensive model of Alzheimer's disease that integrates various pathological mechanisms and emphasizes the need for network-based therapeutic strategies. This research is relevant as it seeks to address the underlying mechanisms of a major age-related disease, potentially contributing to a better understanding of aging processes and interventions.

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