Salivary proteomics and biomarkers in neurology and psychiatry

Abstract

Biomarkers are greatly needed in the fields of neurology and psychiatry, to provide objective and earlier diagnoses of CNS conditions. Proteomics and other omics MS‐based technologies are tools currently being utilized in much recent CNS research. Saliva is an interesting alternative biomaterial for the proteomic study of CNS disorders, with several advantages. Collection is noninvasive and saliva has many proteins. It is easier to collect than blood and can be collected by professionals without formal medical training. For psychiatric and neurological patients, supplying a saliva sample is less anxiety‐provoking than providing a blood sample, and is less embarrassing than producing a urine specimen. The use of saliva as a biomaterial has been researched for the diagnosis of and greater understanding of several CNS conditions, including neurodegenerative diseases, autism, and depression. Salivary biomarkers could be used to rule out nonpsychiatric conditions that are often mistaken for psychiatric/neurological conditions, such as fibromyalgia, and potentially to assess cognitive ability in individuals with compromised brain function. As MS and omics technology advances, the sensitivity and utility of assessing CNS conditions using distal human biomaterials such as saliva is becoming increasingly possible.

Document Details

Document Type
Pub Defense Publication
Publication Date
Mar 30, 2015
Source ID
10.1002/prca.201400153

Entities

People

  • Alisa G. Woods
  • Costel C Darie
  • Devika Channaveerappa
  • Emmalyn J Dupree
  • Jeanne P. Ryan
  • Kelly L. Wormwood
  • Megan M. Borland
  • Roshanak Aslebagh

Organizations

  • Army Research Office
  • Clarkson University
  • SciFund Challenge
  • State University of New York
  • State University of New York at Plattsburgh

Tags

Fields of Study

  • Medicine
  • Psychology

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Manufacturing Engineering.
  • Neuroscience

Technology Areas

  • Biotechnology