ReviewTranslational research : the journal of laboratory and clinical medicine2019
Biosensors for Detection of Human Placental Pathologies: A Review of Emerging Technologies and Current Trends.
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.
What it found
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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.
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.
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Who cites it
11 citing papers in PubMed, 33 citations in OpenAlex.
- Cervical cancer patients' vaginal microbiome and metabolites: research progress and clinical applications.Frontiers in microbiology · 2026Review
- Nanotechnology in placental cancers: advances in targeted therapy and non-invasive diagnostics.Medical oncology (Northwood, London, England) · 2025Review
- Review
- Lateral flow immunoassay for simultaneous detection of C. difficile, MRSA, and K. pneumoniae.Mikrochimica acta · 2024Article
- Systematic design and evaluation of aptamers for VEGF and PlGF biomarkers of Preeclampsia.BMC biotechnology · 2024Article
- Revolutionizing the female reproductive system research using microfluidic chip platform.Journal of nanobiotechnology · 2023Review
- 3D microfluidics-assisted modeling of glucose transport in placental malaria.Scientific reports · 2022Article
- 3D Printed Microfluidic Spiral Separation Device for Continuous, Pulsation-Free and Controllable CHO Cell Retention.Micromachines · 2021Article
- Modelling the Human Placental Interface In Vitro-A Review.Micromachines · 2021Review
- Liquid-Liquid Flows with Non-Newtonian Dispersed Phase in a T-Junction Microchannel.Micromachines · 2021Article
- Development of an Organ-on-a-Chip-Device for Study of Placental Pathologies.International journal of molecular sciences · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
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.
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Registered trials
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.