Targeting Serum Cytokines as Prognostic Biomarkers for COVID-19 Biosensors
Shourya Kumar and Limei Tian, PhD
Introduction: Coronaviruses are enveloped RNA viruses in humans and animals that can cause acute and chronic diseases1. In patients with a weak immune system or other (unknown) pre-existing conditions, an uncontrolled inflammatory response linked to a cytokine storm has been associated with severe pulmonary inflammation being the leading cause of death2. In fact, studies show increased levels of cytokine storms correlate with more severe disease progression. Specifically, IL-6, IL-8, and IL-10 are shown to be predictors for quicker diagnosis of severe COVID-19 disease3-4. Various point-of-care biosensors targeting cytokines have shown therapeutic value in determining the severity of COVID-19 disease. Methods: One biosensor utilizes an aptameric dual graphene-TWEEN 80 field effect transistor (DGTFET) to enable on-site, wireless detection of cytokines (IFN-γ, TNF-α, and IL-6) from several body fluids5. Another biosensor made from a cellulose-nanoparticle combination, utilizes conjugated gold nanoparticles to anti IL-6 antibodies, fixed to modified filter paper/wax paper. A subsequent 10uL sample is added to the first portion of the strip, dried with high heat (hairdryer), and then washed with a wash-buffer. The resulting colorimetric signal is then imaged with a smartphone app6. Another biosensor integrates machine learning with a microfluidic, nanoplasmonic digital immunoassay to profile cytokine levels of COVID-19 patients. The one-step immunoassay works by utilizing anti-cytokine capture antibody and antigen nanocubes conjugated with paired detection antibodies as signal transducers. The resulting sandwich complex is then imaged with a dark field microscope and analyzed with an on-board machine learning system7. Results: The biosensor developed by Hao, et al. demonstrates the capabilities of their DGTFET device in detecting cytokines IFN-γ, TNF-α, and IL-6 in biofluids including serum, saliva, urine and sweat, with respective limits of detection (LODs) of 476 × 10−15, 611 × 10−15, and 608 × 10−15 M5. The biosensor developed by Adrover-Jaume, et al. achieved a LOD of 17 pg mL-1 in blood6. Finally, the biosensor developed by Gao, et al. allows for simultaneous detection of six cytokines with LODs of LODs of 0.91 pg mL–1 (IL-1β), 0.47 pg mL–1 (IL-2), 0.46 pg mL–1 (IL-6), 1.36 pg mL–1 (IL-10), 0.71 pg mL–1 (TNF-α), and 1.08 pg mL–1 (IFN-γ)7. Conclusions: Together, these studies demonstrate the significant advances that have made in development of biomarkers targeting cytokines, allowing for earlier detection of potentially severe COVID-19 disease progression, ultimately improving patient outcomes.
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