The present invention addresses the problem of providing a means for detecting a constituting protein of nucleocapsid derived from SARS-CoV-2. This problem has been solved by providing an antibody binding to a constituting protein of nucleocapsid derived from SARS-CoV-2 or a fragment of the antibody, a method for detecting a constituting protein of the SARS-CoV-2-derived nucleocapsid with the use of the antibody or a fragment thereof, a kit for detecting a constituting protein of the SARS-CoV-2-derived nucleocapsid, said kit containing the antibody or a fragment thereof, etc.

Methods for the treatment of a respiratory infection, for the prevention of worsening of symptoms associated with the infection, and for reducing the lethality of the infection such as but not limited to respiratory infections caused by a coronavirus. The present disclosure provides specific gaseous nitric oxide (NO) dosing regimens optionally paired with the monitoring of toxicology outcomes so as to enable the use of effective NO doses for treatment purposes. The present invention also discloses air circulation systems featuring NO for helping to prevent respiratory infections.

Biosensors are provided for the detection of pathogens such as viruses. The sensors can includes a substrate, and a film disposed on the substrate. The film can include an electrically-conducting polymer, and an aromatic dialdehyde such as terephthaldehyde. The sensors experience a fast and repeatable decrease in electrical conductivity in the presence of certain pathogens, including the SARS-Cov-2 pseudo virus.

Machine learning analysis for classifying agglutination of fluid samples. A method includes scanning a unique scannable code printed on a test card, wherein the test card comprises a negative control fluid sample, a positive control fluid sample, and a test fluid sample. The method includes capturing an image of the test card and providing the image of the test card to a machine learning algorithm configured to assess agglutination of the test fluid sample based on the image. The method includes receiving from the machine learning algorithm one or more of a qualitative analysis or a quantitative analysis of the agglutination of the test fluid sample.

The invention relates to one or more aptamers isolated against the SARS-CoV-2 spike protein and methods of using the same. Certain embodiments of the invention relate to methods of detecting the presence, absence or amount of SARS-CoV-2 in a sample using the one or more aptamers described herein. In certain embodiments, the invention relates to one or more aptamers that are capable of specifically binding to SARS-CoV-2 proteins, including aptamers that are capable of specifically binding to the S1 subunit (including the receptor binding domain (RBD)) and/or the S2 subunit within their native conformation as part of the SARS-CoV-2 spike protein in its trimeric form or as separate monomers.

Complexes of coronavirus spike proteins, as well as fragments or mutants thereof wherein the fragment or mutant thereof at least contains a receptor binding domain of said coronavirus spike protein, with linoleic acid, or a derivative or a salt or a mimetic thereof. Methods for producing the complexes of the invention by incubating coronavirus spike proteins with linoleic acid or a derivative or a salt or a mimetic thereof. . In vitro methods for identifying molecules which have therapeutic potential for diseases caused by coronaviruses by contacting the molecule with a coronavirus spike protein and linoleic acid or a derivative or salt or mimetic thereof. A method of treatment of coronavirus infection by administration of linoleic acid, or a derivative, a salt or a mimetic thereof to a subject in need thereof, by administration of an aerosol formulation or dry powder formulation to the respiratory tract, preferably by nasal administration.

Sensitive detection of IgG antibodies against SARS-CoV-2 is important to assessing immune responses to viral infection or vaccination and immunity duration. Antibody assays using non-invasive body fluids such as saliva could facilitate mass testing including young children, elderly and those who resist blood draws, and easily allowing longitudinal testing/monitoring of antibodies over time. Here, we developed a new lateral flow (nLF) assay that sensitively detects SARS-CoV-2 IgG antibodies in the saliva samples of vaccinated individuals and previous COVID-19 patients. The 25 minutes nLF assay detected anti-spike protein (anti-S1) IgG in saliva samples with 100% specificity and high sensitivity from both vaccinated (99.51% for samples ≥19 days post 1st Pfizer or Moderna mRNA vaccine dose) and infected individuals. Antibodies against nucleocapsid protein (anti-NCP) was detected only in the saliva samples of COVID-19 patients and not in vaccinated samples, allowing facile differentiation of vaccination from infection. Salivary SARS-CoV-2 anti-S1 IgG antibodies correlated with that in matched dried blood spot (DBS) samples measured by a quantitative pGOLD™ lab-test, showing similar evolution trends post vaccination. The new salivary rapid test platform is applicable to non-invasive detection of antibodies against infection and vaccination for a wide range of diseases.

Kits and methods for the detection and enrichment of RNA viruses of the family Coronaviridae. The detection method comprises the steps of (a) coupling a binding agent that specifically recognizes and binds to a virus component to a carrier material, (b) incubating the carrier material with the thereon coupled binding agent with a virus-containing sample, (c) staining the viruses immobilised on the carrier material with a staining agent, and (d) detecting stained virus particles via a physical, chemical or biological detection means. The methods may be suitable for the rapid and efficient detection of coronaviruses, such as SARS-CoV-2. With the methods and kits, it is possible to perform rapid high-throughput tests in a large population. At the same time, the enrichment procedure makes it possible to enrich viral samples, e.g. from a throat swab of a patient, for use in a subsequent PCR.

Methods for treating coronavirus disease 2019 (COVID-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, is described. The methods can be used to reduce the severity of outcomes related to COVID-19, such as hospitalization and ventilation. For example, treatment of a subject with a therapeutic agent that neutralizes interleukin 13 (IL-13) can result in reduced risk for mechanical ventilation in the subject. Also described are methods of predicting risk of mechanical ventilation in subjects with COVID-19.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the strain of coronavirus that causes coronavirus disease 2019 (COVID-19), the respiratory illness responsible for the COVID-19 pandemic. Antibodies produced from an immune response against SARS-CoV-2 infection are used to analyze prior exposure to the virus. The present invention provides methods for detecting antibodies in response to SARS-CoV-2 infection in a single multiplex immunoassay.