Multi omics Approach to Identify the Neurological Biomarkers and Understand its Significance Associated with Immune Profiling and Bioenergetics

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About this Research Topic

Submission deadlines

  1. Manuscript Submission Deadline 27 June 2024 | Manuscript Extension Submission Deadline 28 June 2024

Background

Neuroinflammation is the root cause of debilitating disorders including multiple sclerosis, stroke and even sleep disorders. A vast body of previous studies have revealed neuroinflammation to be associated with alteration of various metabolic pathways, or changes in the proteome or lipidome or genome. However, there is a need to delve into the intricate relationship between neurological function and inflammatory mechanisms, shedding light on the implications of inflammation and its interplay with the altered proteome, lipidome and metabolome. We endeavour to bring on a single platform research that systematically analyses integration of proteome, lipidome and metabolome studies with the immunological status to investigate the role of neuroinflammation and alteration in conditions such as Alzheimer’s disease, multiple sclerosis, stroke, and neurodegenerative disorders. By synthesizing findings from diverse sources, this platform seeks to highlight emerging trends, novel pathways, and potential therapeutic targets related to neuroinflammation.

The emphasis on elucidating the holistic effect of underlying molecular, cellular, and immunological factors that contribute to neuroinflammation is the need of the hour. Our objective is to critically evaluate the methodologies employed to examining the strengths and limitations of techniques used to quantify and characterize neuroinflammatory responses. By addressing methodological nuances, this platform aims to provide a comprehensive understanding of the reliability and reproducibility of neuroinflammation research, offering insights into areas that require further refinement. The outcome of this knowledge resource will be instrumental in delineating the broader impact of neuroinflammation on neurological diseases and fostering a more nuanced understanding of disease progression and treatment strategies. This Research Topic attempts to summarize the data from cutting-edge techniques for biomarker detection, including advanced imaging modalities (such as High resolution Mass Spectrometry, PET scans, MRI, and fMRI) and molecular analyses (such as proteomics, Lipidomics and metabolomics) with cellular bioenergetics, and thus aims to ease the feasibility for identification of promising biomarkers that exhibit high sensitivity and specificity in detecting neurological disorders at early stages, enabling timely interventions and improved patient outcomes.

This platform aspires to contribute to the growing body of knowledge in the field of neurological biomarkers, offering insights that could revolutionize how neurological disorders are diagnosed, monitored, and treated. The collation of findings could have profound implications for patient care, paving the way for more personalized and effective therapeutic interventions in the realm of neurology.



The articles in the version of Original Research, Systematic Review, Meta-analysis and Case Report are acceptable. Potential sub-topics are as below:



• Original Research focusing on the dysregulated proteome, lipidome and metabolome with cellular bioenergetics and their functional mechanism on neuroinflammatory disease progression.

• Systematic review focusing on the research integrating neuroinflammation with cutting-edge techniques for biomarker detection, including advanced imaging modalities and molecular analyses.

• Meta-analysis focusing on the research of dysregulated metabolites and their crosslinks with altered proteome or lipidome in neuroinflammatory disorders.

• Case report focusing on the progression of neuroinflammatory disorders and associated biomarkers

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

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  • Case Report
  • Classification
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  • Editorial
  • General Commentary
  • Hypothesis and Theory
  • Methods
  • Mini Review

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Keywords: • Lipidomics, Proteomics, Metabolomics, High resolution mass spectrometry, Flow cytometry, Single cell Omics analysis, Neuroprotective and Anti-neuroinflammation

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