Evidence map›Paper›PMID 35674283›Full record

ReviewLab on a chip2022

Advancing microfluidic diagnostic chips into clinical use: a review of current challenges and opportunities.

Vasant Iyer, Zijian Yang, Jina Ko, Ralph Weissleder, David Issadore

Open access · greenAbstract readReview
In one paragraph

Review in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026
    Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Microfluidic 3D Cytotoxic Assay.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  16. Review
  17. Article
  18. Article
  19. Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Review
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

5 authors at 2 institutions in 1 country.

Vasant IyerElectrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA. issadore@seas.upenn.edu.ORCID 0000-0002-0481-5616
Zijian YangMechanical Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Jina KoBioengineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital/Harvard Medical School, 185 Cambridge Street, Boston, Massachusetts, USA.ORCID 0000-0003-0828-4143
David IssadoreElectrical and Systems Engineering Department, University of Pennsylvania, Philadelphia, Pennsylvania, USA. issadore@seas.upenn.edu.ORCID 0000-0002-5461-8653
University of Pennsylvania · USHarvard University · US

Funding

Nanomagnetic isolation and sensing for mobile HIV-1 self-testingR33AI147406 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2022 to 2023
$1.6M
High Throughput Digital Droplet Assays for Ultrasensitive Multimodal (DNA, RNA, and Protein) DiagnosticsR33CA287135 · NCI · UNIVERSITY OF PENNSYLVANIA · PI David Aaron Issadore · 2024 to 2026
$1.2M
Rapid unbiased isolation and in situ RNA analysis of circulating tumor cells using a magnetic micropore-based diagnostic chipR33CA206907 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2017 to 2019
$1.1M
A micro Hall chip for circulating microvesicle based cancer monitoringR21CA182336 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2014 to 2016
$664k
High Throughput Digital Droplet ELISA for Ultrasensitive Multiplexed DiagnosticsR21CA236653 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2020 to 2022
$578k
NCI NIH HHS R21 CA182336NCI NIH HHS R21 CA236653NCI NIH HHS R33 CA206907NCI NIH HHS R33 CA287135NIAID NIH HHS R33 AI147406
6 · The paper itself

Abstract

Microfluidic diagnostic (μDX) technologies miniaturize sensors and actuators to the length-scales that are relevant to biology: the micrometer scale to interact with cells and the nanometer scale to interrogate biology's molecular machinery. This miniaturization allows measurements of biomarkers of disease (cells, nanoscale vesicles, molecules) in clinical samples that are not detectable using conventional technologies. There has been steady progress in the field over the last three decades, and a recent burst of activity catalyzed by the COVID-19 pandemic. In this time, an impressive and ever-growing set of technologies have been successfully validated in their ability to measure biomarkers in clinical samples, such as blood and urine, with sensitivity and specificity not possible using conventional tests. Despite our field's many accomplishments to date, very few of these technologies have been successfully commercialized and brought to clinical use where they can fulfill their promise to improve medical care. In this paper, we identify three major technological trends in our field that we believe will allow the next generation of μDx to have a major impact on the practice of medicine, and which present major opportunities for those entering the field from outside disciplines: 1. the combination of next generation, highly multiplexed μDx technologies with machine learning to allow complex patterns of multiple biomarkers to be decoded to inform clinical decision points, for which conventional biomarkers do not necessarily exist. 2. The use of micro/nano devices to overcome the limits of binding affinity in complex backgrounds in both the detection of sparse soluble proteins and nucleic acids in blood and rare circulating extracellular vesicles. 3. A suite of recent technologies that obviate the manual pre-processing and post-processing of samples before they are measured on a μDX chip. Additionally, we discuss economic and regulatory challenges that have stymied μDx translation to the clinic, and highlight strategies for successfully navigating this challenging space.

Indexed as

COVID-19Nucleic AcidsBiomarkersCOVID-19 TestingHumansMicrofluidicsPandemicsBiomarkersNucleic Acids

Identifiers

PMID35674283
PMCPMC9798730
OpenAlexW4282925016

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.