Cerebral small vessel disease (cSVD) has a crucial role in lacunar stroke and brain hemorrhages and is a leading cause of cognitive decline and functional loss in elderly patients. Based on underlying pathophysiology, cSVD can be subdivided into amyloidal and non-amyloidal subtypes. Genetic factors of cSVD play a pivotal role in terms of unraveling molecular mechanism. An important pathophysiological mechanism of cSVD is blood-brain barrier leakage and endothelium dysfunction which gives a clue in identification of the disease through circulating biological markers. Detection of cSVD is routinely carried out by key neuroimaging markers including white matter hyperintensities, lacunes, small subcortical infarcts, perivascular spaces, cerebral microbleeds, and brain atrophy. Application of neural networking, machine learning and deep learning in image processing have increased significantly for correct severity of cSVD. A linkage between cSVD and other neurological disorder, such as Alzheimer’s and Parkinson’s disease and non-cerebral disease, has also been investigated recently. This review draws a broad picture of cSVD, aiming to inculcate new insights into its pathogenesis and biomarkers. It also focuses on the role of deep machine strategies and other dimensions of cSVD by linking it with several cerebral and non-cerebral diseases as well as recent advances in the field to achieve sensitive detection, effective prevention and disease management.

Functional genomics has made possible advanced structure-to-function investigation of pathogens and helped characterize virulence mechanisms. Proteomics has been become a tool for large-scale identification of proteins involved during invasion and infection by the pathogens. Bacterial surface and secreted proteins play key role in the interaction between the bacterial cell and the host environment. Thus exoproteome and surface proteome of a microorganism are hypothesized to contain components of effective vaccines. Surfome and exoproteome analysis strategy facilitates identification of novel vaccine antigen and overall helps in progress of discovery of vaccine. The study of the antibody response can advance how proteomics is used, because it investigates antibody-antigen interactions and also unravel the relationship of antibody responses to pathogen and host characteristics. System immunology integrating with proteome i.e. immunoproteomics is applicable to those infections that are having tendency of diverse antibody target recognition and thus accurately reflects progression of the infection.

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