Evidence map›Paper›PMID 32719130›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Noninvasive wearable electroactive pharmaceutical monitoring for personalized therapeutics.

Shuyu Lin, Wenzhuo Yu, Bo Wang, Yichao Zhao, Ke En, Jialun Zhu, Xuanbing Cheng, Crystal Zhou, Haisong Lin, Zhaoqing Wang and 5 more

Registry-linked trialOpen access · bronzeAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05106725 (Study of Clinical Biomarkers in Human Health and Disease), which is not on this map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.9field-weighted citation impact, top 3% 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.

NCT05106725 recruitingnot on this mapstarted 2021, after this paper: background citation

Study of Clinical Biomarkers in Human Health and Disease (Healthiomics)

TypeobservationalSponsorCureScienceRan2021 to 2025Enrolled3,500ConditionsBrain Cancer, Neurological Disorder, Neurological Cancer
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 113 citations in OpenAlex.

  1. Article
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  3. Multimodal flexible sensor system toward telediagnosis.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2026
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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

15 authors at 1 institution in 1 country.

Shuyu LinInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-5248-6124
Wenzhuo YuInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-1904-9088
Bo WangInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-3986-3415
Yichao ZhaoInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-2884-8105
Ke EnInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Jialun ZhuInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Xuanbing ChengInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0001-7682-0759
Crystal ZhouInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Haisong LinInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-5684-6385
Zhaoqing WangInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.
Hannaneh HojaijiInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-1963-5458
Christopher YeungInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095.ORCID 0000-0002-8964-1044
Carlos MillaThe Stanford Cystic Fibrosis Center, Center for Excellence in Pulmonary Biology, Stanford School of Medicine, Stanford, CA 94305.ORCID 0000-0001-5515-3053
Ronald W DavisStanford Genome Technology Center, Stanford School of Medicine, Palo Alto, CA 94304; katrina.hong@stanford.edu emaminejad@ucla.edu.ORCID 0000-0003-3123-2333
Sam EmaminejadInterconnected & Integrated Bioelectronics Lab (IBL), Department of Electrical and Computer Engineering, University of California, Los Angeles, CA 90095; katrina.hong@stanford.edu emaminejad@ucla.edu.ORCID 0000-0003-0132-152X
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To achieve the mission of personalized medicine, centering on delivering the right drug to the right patient at the right dose, therapeutic drug monitoring solutions are necessary. In that regard, wearable biosensing technologies, capable of tracking drug pharmacokinetics in noninvasively retrievable biofluids (e.g., sweat), play a critical role, because they can be deployed at a large scale to monitor the individuals' drug transcourse profiles (semi)continuously and longitudinally. To this end, voltammetry-based sensing modalities are suitable, as in principle they can detect and quantify electroactive drugs on the basis of the target's redox signature. However, the target's redox signature in complex biofluid matrices can be confounded by the immediate biofouling effects and distorted/buried by the interfering voltammetric responses of endogenous electroactive species. Here, we devise a wearable voltammetric sensor development strategy-centering on engineering the molecule-surface interactions-to simultaneously mitigate biofouling and create an "undistorted potential window" within which the target drug's voltammetric response is dominant and interference is eliminated. To inform its clinical utility, our strategy was adopted to track the temporal profile of circulating acetaminophen (a widely used analgesic and antipyretic) in saliva and sweat, using a surface-modified boron-doped diamond sensing interface (cross-validated with laboratory-based assays,

Indexed as

AcetaminophenBiosensing TechniquesDrug MonitoringHumansPrecision MedicineSalivaSweatWearable Electronic DevicesAcetaminophenpersonalized pharmacotherapypharmacokineticssurface engineeringtherapeutic drug monitoringwearable sensors

Identifiers

PMID32719130
PMCPMC7431025
OpenAlexW3045885690

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.