Biosensors for Detection of Human Placental Pathologies: A Review of Emerging Technologies and Current Trends

Transl Res. 2019 Nov:213:23-49. doi: 10.1016/j.trsl.2019.05.002. Epub 2019 May 20.

Abstract

Substantial growth in the biosensor research has enabled novel, sensitive and point-of-care diagnosis of human diseases in the last decade. This paper presents an overview of the research in the field of biosensors that can potentially predict and diagnosis of common placental pathologies. A survey of biomarkers in maternal circulation and their characterization methods is presented, including markers of oxidative stress, angiogenic factors, placental debris, and inflammatory biomarkers that are associated with various pathophysiological processes in the context of pregnancy complications. Novel biosensors enabled by microfluidics technology and nanomaterials is then reviewed. Representative designs of plasmonic and electrochemical biosensors for highly sensitive and multiplexed detection of biomarkers, as well as on-chip sample preparation and sensing for automatic biomarker detection are illustrated. New trends in organ-on-a-chip based placental disease models are highlighted to illustrate the capability of these in vitro disease models in better understanding the complex pathophysiological processes, including mass transfer across the placental barrier, oxidative stress, inflammation, and malaria infection. Biosensor technologies that can be potentially embedded in the placental models for real time, label-free monitoring of these processes and events are suggested. Merger of cell culture in microfluidics and biosensing can provide significant potential for new developments in advanced placental models, and tools for diagnosis, drug screening and efficacy testing.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Bioengineering
  • Biomarkers / metabolism
  • Biosensing Techniques / trends*
  • Female
  • Humans
  • Inventions
  • Placenta Diseases / diagnosis*
  • Point-of-Care Systems
  • Pregnancy

Substances

  • Biomarkers