ArticleJournal of diabetes science and technology2013
Predicting glucose sensor behavior in blood using transport modeling: relative impacts of protein biofouling and cellular metabolic effects.
Article in Journal of diabetes science and technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Redundancy in Glucose Sensing: Enhanced Accuracy and Reliability of an Electrochemical Redundant Sensor for Continuous Glucose Monitoring.Journal of diabetes science and technology · 2016Trial
- Injury to tissue caused by device penetration of the skin triggers formation of extracellular traps.Communications biology · 2025Article
- Impact of Bindarit, a CCL2 Chemokine Synthesis Inhibitor, on Macrophage-Based Biofouling and Continuous Glucose MonitoringBiosensors & bioelectronics: X · 2024Article
- Advanced strategies to thwart foreign body response to implantable devices.Bioengineering & translational medicine · 2022Review
- Semi-Implantable Bioelectronics.Nano-micro letters · 2022Review
- Article
- Reduction of measurement noise in a continuous glucose monitor by coating the sensor with a zwitterionic polymer.Nature biomedical engineering · 2018Article
- In Vivo Chemical Sensors: Role of Biocompatibility on Performance and Utility.Analytical chemistry · 2017Review
- Impact of CCL2 and CCR2 chemokine/receptor deficiencies on macrophage recruitment and continuous glucose monitoring in vivo.Biosensors & bioelectronics · 2016Article
- Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.Journal of diabetes science and technology · 2015Article
- Macrophage embedded fibrin gels: an in vitro platform for assessing inflammation effects on implantable glucose sensors.Biomaterials · 2014Article
- Characterization of porous, dexamethasone-releasing polyurethane coatings for glucose sensors.Acta biomaterialia · 2014Article
- Cell based metabolic barriers to glucose diffusion: macrophages and continuous glucose monitoring.Biomaterials · 2014Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundTissue response to indwelling glucose sensors remains a confounding barrier to clinical application. While the effects of fully formed capsular tissue on sensor response have been studied, little has been done to understand how tissue interactions occurring before capsule formation hinder sensor performance. Upon insertion in subcutaneous tissue, the sensor is initially exposed to blood, blood borne constituents, and interstitial fluid. Using human whole blood as a simple ex vivo experimental system, the effects of protein accumulation at the sensor surface (biofouling effects) and cellular consumption of glucose in both the biofouling layer and in the bulk (metabolic effects) on sensor response were assessed.
methodsMedtronic MiniMed SofSensor glucose sensors were incubated in whole blood, plasma-diluted whole blood, and cell-free platelet-poor plasma (PPP) to analyze the impact of different blood constituents on sensor function. Experimental conditions were then simulated using MATLAB to predict the relative impacts of biofouling and metabolic effects on the observed sensor responses.
resultsProtein biofouling in PPP in both the experiments and the simulations was found to have no interfering effect upon sensor response. Experimental results obtained with whole and dilute blood showed that the sensor response was markedly affected by blood borne glucose-consuming cells accumulated in the biofouling layer and in the surrounding bulk.
conclusionsThe physical barrier to glucose transport presented by protein biofouling does not hinder glucose movement to the sensor surface, and the consumption of glucose by inflammatory cells, and not erythrocytes, proximal to the sensor surface has a substantial effect on sensor response and may be the main culprit for anomalous sensor behavior immediately following implantation.
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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.