Evidence map›Paper›PMID 31170377›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2019

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

Jia Liu, Babak Mosavati, Andrew V Oleinikov, E Du

Open access · greenAbstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Development of an Organ-on-a-Chip-Device for Study of Placental Pathologies.International journal of molecular sciences · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jia LiuCollege of Engineering and Computer Science, Department of Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, Florida.
Babak MosavatiCollege of Engineering and Computer Science, Department of Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, Florida.
Andrew V OleinikovCharles E. Schmidt College of Medicine, Department of Biomedical Science, Florida Atlantic University, Boca Raton, Florida.
E DuCollege of Engineering and Computer Science, Department of Ocean and Mechanical Engineering, Florida Atlantic University, Boca Raton, Florida; Charles E. Schmidt College of Science, Department of Biological Sciences, Florida Atlantic University, Boca Raton, Florida. Electronic address: edu@fau.edu.
Florida Atlantic University · US

Funding

High throughput screening for anti-adhesion drugs against placental and cerebral malariaR21AI137721 · NIAID · FLORIDA ATLANTIC UNIVERSITY · PI NEFZI, ADEL, OLEINIKOV, ANDREW V · 2018 to 2019
$476k
Placenta-on-a-Chip Sensing Platform to Study Placental MalariaR21HD092779 · NICHD · FLORIDA ATLANTIC UNIVERSITY · PI DU, E, OLEINIKOV, ANDREW V · 2017 to 2018
$400k
NIAID NIH HHS R21 AI137721NICHD NIH HHS R21 HD092779
6 · The paper itself

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.

Indexed as

BioengineeringBiomarkersBiosensing TechniquesFemaleHumansInventionsPlacenta DiseasesPoint-of-Care SystemsPregnancyBiomarkers

Identifiers

PMID31170377
PMCPMC6783355
OpenAlexW2946107892

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.