How to Identify Patients Most at Risk From COVID-19 Through Nanotechnology

What if doctors could not only diagnose a COVID-19 infection but identify which patients are at the greatest risk of death before any major complications arise? One Michigan State University scientist believes nanotechnology may be the answer.

In a new paper, Morteza Mahmoudi, assistant professor in the Department of Radiology Nanoscience and Nano Biomedical Engineering, MSU College of Human Medicine, proposed a point-of-care diagnostic platform that uses either nanoparticles or magnetic levitation to diagnose infection and assess future risk.

"Such technology would not only be useful in protecting healthcare centers from becoming overwhelmed, " Mahmoudi said, "but could also prevent severe shortages of healthcare resources, minimize death rates and improve management of future epidemics and pandemics."

The concept is based on the varying levels of infection and stages of disease which alter the composition of biological fluids such as tears, saliva, urine and plasma. Different infections and diseases create different patterns specific to the viral load and disease stage, somewhat akin to a fingerprint. Mahmoudi said that being able to identify and catalog those patterns would be key to any breakthrough in diagnostic technology.

To begin, a patient's biological fluid is introduced to a small collection of nanoparticles less than one-thousandth the diameter of a human hair. The unique surface of the particle collects proteins, lipids and other molecules from the fluids in a pattern that Mahmoudi refers to as a biomolecular corona -- or crown.

"By analyzing the composition of the crowns at the surface of tiny particles together with statistical approaches, the platform may provide a 'fingerprint' pattern for patients who may be at a death risk after being infected by COVID-19," he said.

The key to these two novel diagnostic platforms is their simplicity, which allows for the deployment of on-site devices where patients are cared for. And because the necessary patient samples are easily obtainable bodily fluids, expert medical professionals would not be required to administer the test.

To make use of patterns identified as reliable 'fingerprints,' Mahmoudi suggested that the device house a suite of small sensor technologies -- such as an 'optoelectronic nose' -- capable of imaging the test results and producing a diagnosis. "The proposed platform could yield a sensitive, easy-to-use optical system to accurately identify COVID-19 infected patients at high risk of death."

Mahmoudi also proposed another technology based on a recent breakthrough in nanoparticle-based magnetic levitation -- MagLev for short. The innovative method suspends patient plasma samples in a solution of magnetic nanoparticles. Over time, distinct bands of proteins form, separating by density. Much like the protein crown, these uniquely shaped bands of proteins create distinct and reliable patterns useful for fingerprinting disease and stages of infection.

Mahmoudi found that "MagLev optic images of levitated proteins, subjected to machine-learning analysis, offer valuable information on the individual's health status." He is confident in the diagnostic capabilities of the technology for patients at high risk of death from COVID-19.

"Such nanotechnologies for early-stage identification of high-risk patients could prevent severe shortages of health care resources, minimize death rates and improve management of future epidemics and pandemics," Mahmoudi said.

This paper, Emerging Nanotechnologies to Assess Risk of Mortality from COVID-19 Infection, appears in Molecular Pharmaceutics: https://pubs.acs.org/doi/10.1021/acs.molpharmaceut.0c00371)

Source: Michigan State University

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