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Transcriptomics and Metabolomics in Amyotrophic Lateral Sclerosis.

Marios G Krokidis1

  • 1National Center for Scientific Research "Demokritos", Institute of Nanoscience and Nanotechnology, Patriarchou Grigoriou & Neapoleos, Athens, Greece. m.krokidis@inn.demokritos.gr.

Advances in Experimental Medicine and Biology
|May 30, 2020
PubMed
Summary

Amyotrophic lateral sclerosis (ALS) research explores gene expression and metabolomics to find early diagnostic markers and new treatments for this motor neuron disease. Understanding molecular signatures is key to improving patient outcomes and developing targeted therapies.

Keywords:
Amyotrophic lateral sclerosisBiomarkersMetabolomicsMicroarraysNeurodegenerative diseases

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Area of Science:

  • Neuroscience
  • Genomics
  • Biomarker Discovery

Background:

  • Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by motor neuron loss, leading to progressive weakness and paralysis.
  • The exact pathogenesis of ALS remains unclear, and effective early prognostic markers are lacking.
  • Current research seeks to identify molecular signatures for earlier diagnosis and targeted treatments.

Purpose of the Study:

  • To review recent gene expression profiling studies in ALS.
  • To examine molecular signatures related to ALS pathogenesis.
  • To explore the potential of metabolomics for identifying diagnostic biomarkers and therapeutic targets.

Main Methods:

  • Analysis of gene expression profiling data from ALS studies.
  • Review of metabolomics approaches in ALS research.
  • Examination of molecular signatures and biomarkers.

Main Results:

  • Gene expression profiling offers insights into molecular signatures of ALS pathogenesis.
  • Metabolomics shows promise for developing predictive biomarkers for ALS clinical symptoms.
  • Challenges exist in utilizing metabolomics for diagnostic purposes and identifying unique biomarkers.

Conclusions:

  • Gene expression and metabolomics are crucial high-throughput approaches for ALS research.
  • Identifying molecular signatures and biomarkers can advance understanding and treatment of ALS.
  • Further research is needed to overcome challenges in biomarker identification and diagnostic application.