Point-of-Care Testing of Enzyme Polymorphisms for Predicting Hypnotizability and Postoperative Pain.

Hypnotizability is a stable trait that moderates the benefit of hypnosis for treating pain, but limited availability of hypnotizability testing deters widespread use of hypnosis. Inexpensive genotyping of four single-nucleotide polymorphisms in the catechol-o-methyltransferase (COMT) gene was performed using giant magnetoresistive biosensors to determine if hypnotizable individuals can be identified for targeted hypnosis referrals. For individuals with the proposed optimal COMT diplotypes, 89.5% score highly on the Hypnotic Induction Profile (odds ratio, 6.12; 95% CI, 1.26-28.75), which identified 40.5% of the treatable population. Mean hypnotizability scores of the optimal group were significantly higher than the total population (P = 0.015; effect size = 0.60), an effect that was present in women (P = 0.0015; effect size = 0.83), but not in men (P = 0.28). In an exploratory cohort, optimal individuals also reported significantly higher postoperative pain scores (P = 0.00030; effect size = 1.93), indicating a greater need for treatment.

Quantitative and rapid detection of morphine and hydromorphone at the point of care by an automated giant magnetoresistive nanosensor platform.

Opioids, such as morphine and hydromorphone, are common pain management drugs with a high risk for addiction and adverse effects when delivered in large doses or administered too frequently. Point-of-care (POC) tools provide a solution to combat these negative outcomes through active monitoring of opioid concentrations in clinical settings. We demonstrate that giant magnetoresistive (GMR) nanosensors offer a quantitative, sensitive, and rapid solution for low-cost, sample-to-answer opioid detection at the POC. We show the robust nature of GMR nanosensors by developing a competitive morphine assay and characterizing it in saliva, blood, and plasma. We then implemented the assay on a fully automated POC GMR platform and demonstrated its duality to detect either morphine or hydromorphone using only 180 µL of direct saliva without the need for pre-processing. In 35 min from sample addition to result, the automated platform was controlled via smartphone and had seamless transmission of results via Bluetooth. The fully automated POC assay had a limit of detection of 3.43 ng/mL for morphine and 3.49 ng/mL for hydromorphone. The low-cost, 80-plex GMR nanosensor array coupled with the automated POC platform enables future development of multiplexed drug screening tools that can be deployed in clinical settings using a wide variety of non-invasive matrices.

Diagnostics for SARS-CoV-2 detection: A comprehensive review of the FDA-EUA COVID-19 testing landscape.

The rapidly spreading outbreak of COVID-19 disease is caused by the SARS-CoV-2 virus, first reported in December 2019 in Wuhan, China. As of June 17, 2020, this virus has infected over 8.2 million people but ranges in symptom severity, making it difficult to assess its overall infection rate. There is a need for rapid and accurate diagnostics to better monitor and prevent the spread of COVID-19. In this review, we present and evaluate two main types of diagnostics with FDA-EUA status for COVID-19: nucleic acid testing for detection of SARS-CoV-2 RNA, and serological assays for detection of SARS-CoV-2 specific IgG and IgM patient antibodies, along with the necessary sample preparation for accurate diagnoses. In particular, we cover and compare tests such as the CDC 2019-nCoV RT-PCR Diagnostic Panel, Cellex's qSARS-CoV-2 IgG/IgM Rapid Test, and point-of-care tests such as Abbott's ID NOW COVID-19 Test. Antibody testing is especially important in understanding the prevalence of the virus in the community and to identify those who have gained immunity. We conclude by highlighting the future of COVID-19 diagnostics, which include the need for quantitative testing and the development of emerging biosensors as point-of-care tests.