Potential of Point-of-Care and At-Home Assessment of Immune Status via Rapid Cytokine Detection and Questionnaire-Based Anamnesis
| Autor: | Ulrike Billing, Monika C. Brunner-Weinzierl, Katrin Vogel, Noor Jamaludeen, Myra Spiliopoulou, Christian Beyer |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
medicine.medical_treatment Point-of-Care Systems topic modeling 02 engineering and technology TP1-1185 Immunologic Tests Biochemistry Article Analytical Chemistry 03 medical and health sciences at-home testing rapid cytokine detection Immune system Surveys and Questionnaires medicine Humans immunoassay Electrical and Electronic Engineering Intensive care medicine Instrumentation 030304 developmental biology Point of care Anamnesis 0303 health sciences Immune status Human blood Cytokine Measurement business.industry Chemical technology lateral flow assay data mining 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Cytokine health questionnaire smartphone- based signal reader point-of-care Cytokines Biological Assay 0210 nano-technology Health questionnaire business |
| Zdroj: | Sensors, Vol 21, Iss 4960, p 4960 (2021) Sensors Volume 21 Issue 15 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | Monitoring the immune system’s status has emerged as an urgent demand in critical health conditions. The circulating cytokine levels in the blood reflect a thorough insight into the immune system status. Indeed, measuring one cytokine may deliver more information equivalent to detecting multiple diseases at a time. However, if the reported cytokine levels are interpreted with considering lifestyle and any comorbid health conditions for the individual, this will promote a more precise assessment of the immune status. Therefore, this study addresses the most recent advanced assays that deliver rapid, accurate measuring of the cytokine levels in human blood, focusing on add-on potentials for point-of-care (PoC) or personal at-home usage, and investigates existing health questionnaires as supportive assessment tools that collect all necessary information for the concrete analysis of the measured cytokine levels. We introduced a ten-dimensional featuring of cytokine measurement assays. We found 15 rapid cytokine assays with assay time less than 1 hour some could operate on unprocessed blood samples, while others are mature commercial products available in the market. In addition, we retrieved several health questionnaires that addressed various health conditions such as chronic diseases and psychological issues. Then, we present a machine learning-based solution to determine what makes the immune system fit. To this end, we discuss how to employ topic modeling for deriving the definition of immune fitness automatically from literature. Finally, we propose a prototype model to assess the fitness of the immune system through leveraging the derived definition of the immune fitness, the cytokine measurements delivered by a rapid PoC immunoassay, and the complementary information collected by the health questionnaire about other health factors. In conclusion, we discovered various advanced rapid cytokine detection technologies that are promising candidates for point-of-care or at-home usage if paired with a health status questionnaire, the assessment of the immune system status becomes solid and we demonstrated potentials for promoting the assessment tool with data mining techniques. |
| Databáze: | OpenAIRE |
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