Abstract:
INTRODUCTION:The lack of biomarkers indicating involved nociceptive and/or pain mechanisms makes diagnostic procedures problematic. Clinical pain research has begun to use proteomics. AREAS COVERED:This systematic review covers proteomic studies of chronic pain cohorts and in relation to clinical variables. Searches in three databases identified 96 studies from PubMed, 161 from Scopus and 155 from Web of Science database. Finally, 27 relevant articles were included. Network analyses based on the identified proteins were performed. EXPERT OPINION:Small pain cohorts were investigated and the number of studies per diagnosis and tissue is small. The use of proteomics in chronic pain research is exploratory and larger proteomic studies are needed. It will be necessary to standardize the descriptions of the pain cohorts investigated. There is a need to identify the mechanisms underlying the whole clinical presentation of specific chronic pain conditions. Multivariate methods capable of handling and identifying intercorrelated protein patterns must be applied. Rather than focusing on a few proteins, future studies should use network analyses to investigate interactions and biological processes. Proteomics in combination with bioinformatics have a huge potential to identify previously unknown panels of proteins involved in chronic pain and relevant when devising new pain control strategies.
journal_name
Expert Rev Proteomicsjournal_title
Expert review of proteomicsauthors
Gerdle B,Ghafouri Bdoi
10.1080/14789450.2020.1797499subject
Has Abstractpub_date
2020-06-01 00:00:00pages
483-505issue
6eissn
1478-9450issn
1744-8387journal_volume
17pub_type
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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journal_title:Expert review of proteomics
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更新日期:2018-01-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2010-12-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2017-07-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2015-01-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2017-04-01 00:00:00
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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更新日期:2008-02-01 00:00:00
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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journal_title:Expert review of proteomics
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journal_title:Expert review of proteomics
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更新日期:2016-01-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2008-10-01 00:00:00
abstract:INTRODUCTION:The human respiratory system is highly prone to diseases and complications. Many lung diseases, including lung cancer (LC), tuberculosis (TB), and chronic obstructive pulmonary disease (COPD) have been among the most common causes of death worldwide. Cystic fibrosis (CF), the most common genetic disease in...
journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2018-02-01 00:00:00
abstract::Clinical proteomics has been applied to the identification of biomarkers of obstetric and neonatal disease. We will discuss a number of encouraging studies that have led to potentially valid biomarkers in the context of Down's syndrome, preterm birth, amniotic infections, preeclampsia, intrauterine growth restriction ...
journal_title:Expert review of proteomics
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更新日期:2014-02-01 00:00:00
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journal_title:Expert review of proteomics
pub_type: 杂志文章,评审
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更新日期:2014-02-01 00:00:00
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journal_title:Expert review of proteomics
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