The frontline of immune response in peripheral blood

PLoS One. 2017 Aug 3;12(8):e0182294. doi: 10.1371/journal.pone.0182294. eCollection 2017.

Abstract

Peripheral blood is an attractive source for the discovery of disease biomarkers. Gene expression profiling of whole blood or its components has been widely conducted for various diseases. However, due to population heterogeneity and the dynamic nature of gene expression, certain biomarkers discovered from blood transcriptome studies could not be replicated in independent studies. In the meantime, it's also important to know whether a reliable biomarker is shared by several diseases or specific to certain health conditions. We hypothesized that common mechanism of immune response in blood may be shared by different diseases. Under this hypothesis, we surveyed publicly available transcriptome data on infectious and autoimmune diseases derived from peripheral blood. We examined to which extent common gene dys-regulation existed in different diseases. We also investigated whether the commonly dys-regulated genes could serve as reliable biomarkers. First, we found that a limited number of genes are frequently dys-regulated in infectious and autoimmune diseases, from which we selected 10 genes co-dysregulated in viral infections and another set of 10 genes co-dysregulated in bacterial infections. In addition to its ability to distinguish viral infections from bacterial infections, these 20 genes could assist in disease classification and monitoring of treatment effect for several infectious and autoimmune diseases. In some cases, a single gene is sufficient to serve this purpose. It was interesting that dys-regulation of these 20 genes were also observed in other types of diseases including cancer and stroke where certain genes could also serve as biomarkers for diagnosis or prognosis. Furthermore, we demonstrated that this set of 20 genes could also be used in continuous monitoring of personal health. The rich information from these commonly dys-regulated genes may find its wide application in clinical practice and personal healthcare. More validation studies and in-depth investigations are warranted in the future.

MeSH terms

  • Autoimmune Diseases / genetics
  • Autoimmune Diseases / immunology*
  • Autoimmune Diseases / mortality
  • Autoimmune Diseases / pathology
  • Biomarkers / blood
  • Biomarkers / metabolism*
  • Cluster Analysis
  • Communicable Diseases / blood
  • Communicable Diseases / immunology
  • Communicable Diseases / pathology
  • Databases, Factual
  • Female
  • Humans
  • Logistic Models
  • Male
  • Neoplasms / genetics
  • Neoplasms / immunology*
  • Neoplasms / mortality
  • Neoplasms / pathology
  • Sex Factors
  • Transcriptome
  • Up-Regulation

Substances

  • Biomarkers

Grants and funding

This work was supported by grants from the National High Technology Program of China (863 Program; grant no. 2015AA020108), the National Basic Research Program of China (973 Program; grant no. 2014CB964901) awarded to H Lei by the Ministry of Science and Technology of China, and the National Key Research and Development Program of China (grant no. 2016YFC0901700) awarded to H Lei by the Ministry of Science and Technology of China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.