Smoking increases the gene expression of ACE2, a protein that binds to SARS-CoV-2, increasing the risk of coronavirus infection. Findings suggest long-term smokers could have an increase of ACE2 in the lungs, leading to higher rates of morbidity in COVID-19 patients.
Study reveals the body's immune system can recognize SARS-CoV-2, the virus that causes COVID-19, in many ways. The findings should help dispel fears the virus may elude ongoing efforts to create a successful vaccine.
Researchers find no beneficial evidence to support the use of chloroquine or hydroxychloroquine, either used alone or in combination with azithromycin, for the treatment of COVID-19.
Anakinra, a clinically approved anti-inflammatory used to treat rheumatoid arthritis, improves respiratory function in patients with severe COVID-19 infection.
Study describes an increase in cases of a rare Kawasaki-like disease in children infected by coronavirus. The condition causes blood vessels to become inflamed and swollen, leading to fever, rashes, red eyes, cracked lips, swollen glands, and redness on the extremities. The condition is believed to be an abnormal immune overreaction to COVID-19 infection.
Study confirms cats can become infected with SARS-CoV-2, the virus that causes coronavirus and pass the infection along to other cats. Cats shed the virus up to six days following infection via their nasal passages. Researchers urge cat owners to keep their pets indoors during the pandemic.
MicroRNAs that should attack SARS-CoV-2, the virus that causes COVID-19, diminish with age, and due to chronic health problems. The findings shed light on why those who are older, and those with health conditions are more susceptible to coronavirus.
Tracing the dead SARS-CoV-2 virus shed by those infected in sewage can provide an early warning of when certain areas may be approaching the second peak of COVID-19 infections.
ACE2 and TMPRSS2, two proteins required for SARS-CoV-2 entry, are produced in cells in the nasal cavity that contribute to odor detection. The findings may explain why people with coronavirus often describe the loss of the sense of smell as a symptom of the virus.
A new artificial intelligence algorithm can accurately predict whether a person is infected with coronavirus based on a range of symptoms a person experiences. Researchers say the technology will help identify those with COVID-19 in populations that are experiencing limited clinical testing.
Researchers say that to date, primary transmission methods of concern for coronavirus have been near field transmission via sneezing and coughing, and hand-to-face transportation of the virus after touching infected surfaces. They warn more attention needs to be paid to the inhalation of aerosols generated from breathing and talking.