A Positron Emission Tomography Tracer Targeting the S2 Subunit of SARS-CoV-2 in Extrapulmonary Infections.

Tracking the pathogen of coronavirus disease 2019 (COVID-19) in live subjects may help estimate the spatiotemporal distribution of SARS-CoV-2 infection in vivo. This study developed a positron emission tomography (PET) tracer of the S2 subunit of spike (S) protein for imaging SARS-CoV-2. A pan-coronavirus inhibitor, EK1 peptide, was synthesized and radiolabeled with copper-64 after being conjugated with 1,4,7-triazacyclononane-1,4,7-triyl-triacetic acid (NOTA). The in vitro stability tests indicated that [64Cu]Cu-NOTA-EK1 was stable up to 24 h both in saline and in human serum. The binding assay showed that [64Cu]Cu-NOTA-EK1 has a nanomolar affinity (Ki = 3.94 ± 0.51 nM) with the S-protein of SARS-CoV-2. The cell uptake evaluation used HEK293T/S+ and HEK293T/S- cell lines that showed that the tracer has a high affinity with the S-protein on the cellular level. For the in vivo study, we tested [64Cu]Cu-NOTA-EK1 in HEK293T/S+ cell xenograft-bearing mice (n = 3) and pseudovirus of SARS-CoV-2-infected HEK293T/ACE2 cell bearing mice (n = 3). The best radioactive xenograft-to-muscle ratio (X/Nxenograft 8.04 ± 0.99, X/Npseudovirus 6.47 ± 0.71) was most evident 4 h postinjection. Finally, PET imaging in the surrogate mouse model of beta-coronavirus, mouse hepatic virus-A59 infection in C57BL/6 J mice showed significantly enhanced accumulation in the liver than in the uninfected mice (1.626 ± 0.136 vs 0.871 ± 0.086 %ID/g, n = 3, P < 0.05) at 4 h postinjection. In conclusion, our experimental results demonstrate that [64Cu]Cu-NOTA-EK1 is a potential molecular imaging probe for tracking SARS-CoV-2 in extrapulmonary infections in living subjects.

The clinical value of bedside ultrasound in predicting the severity of coronavirus disease-19 (COVID-19).

BACKGROUND: To summarise the ultrasound manifestations of coronavirus disease-19 (COVID-19) patients with lung lesions and explore the clinical value of bedside ultrasound in the identification of patients at risk of progression to severe disease. METHODS: This retrospective study enrolled 31 patients with COVID-19 who were admitted to our hospital from January 18 to February 5, 2020. Lung ultrasounds were performed in all cases to evaluate the ultrasound manifestations of the patient's lung lesions and to determine the lung ultrasound scores (LUS). The Cox proportional hazards regression model was used for the multifactor analysis of 7 candidate parameters, including the LUS and the oxygenation index (PaO2/FiO2). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of the LUS. RESULTS: Lung ultrasound images of COVID-19 patients mainly reflected the presence of interstitial pulmonary lesions (90.3%, 28/31). The lung lesions were primarily distributed in the subpleural and peripheral pulmonary zones. Multivariate analyses identified the oxygenation index, the LUS, and the lymphocyte count as factors related to the progression to severe-critical disease in COVID-19 patients (P<0.05). With a cut-off value of 9.5, the area under the ROC curve was 0.910. The LUS showed a sensitivity and specificity of 81.3% and 93.0%, respectively (P≤0.001), with an overall accuracy of 75%. CONCLUSIONS: The lung ultrasound findings in COVID-19 patients were mainly and specifically manifested as interstitial lesions involving the peripheral zones of the lung. In addition, ultrasound imaging could predict the likelihood of COVID-19 patients progressing to severe disease, thereby allowing for early intervention. Thus, lung ultrasounds have great clinical value in monitoring and evaluating COVID-19 patients.