Editorial: Data mining and network-driven analysis: Drug discovery and mechanism exploration by targeting vascular dysfunction

Vascular dysfunction refers to the impairment of structural and functional integrity of large vessel (vessel stiffness), microcirculation (microvascular dysfunction), and endothelium (endothelial dysfunction). The integrity of blood vessel structure and function ensures continuous and well-regulated blood supply well match to energy demand, plays a pivotal role in the transport of amino acids, peptides, ions, neurotransmitters, and other signaling molecules, as well as immune surveillance and hemostatic balance. Numerous studies have confirmed that vascular pathology may be a pathogenic factor in the occurrence and progression of dementia, diabetes and cardiovascular diseases (Yang et al., 2022). Clinical-pathological studies support the notion that vascular lesions are detrimental to cognitive function either by directly damaging neurovascular unit maintained in higher integrated functions of cerebral homeostasis or by promoting formation of Alzheimer’s disease (AD) pathology (e g., amyloid plaques) (Fang et al., 2020). Diabetes and cardiovascular diseases share a common vascular related pathophysiological basis. Patients with diabetic retinopathy have more than twice the risk of coronary heart disease (CHD), and also increased risk of fatal disease for congestive heart failure and ischemic stroke (Cheung et al., 2007). Collectively, addressing potential disease interactions associated with vascular dysfunction will greatly deepening our knowledge of the pathogenesis of related diseases. Recent advances in omics data and bioinformatics resources have enabled the rapid development of in silico network and data mining-based approaches in complex diseases such as AD (Fang et al., 2021). The Research Topic compiles a series of articles utilizing high-throughput data resources, as well as network pharmacology and OPEN ACCESS