We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

HospiMedica

Download Mobile App
Recent News AI Critical Care Surgical Techniques Patient Care Health IT Point of Care Business Focus

Study Combining Brain MRI Findings and Latest RNA Sequencing Technology to Identify Drugs for Preventing Post-COVID Cognitive Impairment

By HospiMedica International staff writers
Posted on 07 Sep 2021
Print article
Image: Study Combining Brain MRI Findings and Latest RNA Sequencing Technology to Identify Drugs for Preventing Post-COVID Cognitive Impairment (Photo courtesy of John Emerson)
Image: Study Combining Brain MRI Findings and Latest RNA Sequencing Technology to Identify Drugs for Preventing Post-COVID Cognitive Impairment (Photo courtesy of John Emerson)
A new study will examine how COVID-19 is affecting individuals in a number of cognitive-related areas, including memory loss, “brain fog,” and dementia.

Scientists at Rutgers University (New Brunswick, NJ, USA) are spearheading the characterization of cognitive impairment following mild-to-moderate COVID-19. The team will assess each person’s cognition, mood, and sleep patterns to identify potential causes of brain fog and compare their brain MRI findings with biochemical signatures of neuroinflammation. They will analyze microglial cells - critically important immune cells in the brain - from individuals who have had COVID-19 to determine whether those cells can be used to predict the persistence of post-COVID cognitive impairment (PCCI). This will allow researchers to begin to generate new hypotheses on why these cells may dysfunction in COVID-19 and PCCI, what the shared inflammatory mechanisms are between PCCI and Alzheimer’s disease, and whether FDA-approved drugs can be repurposed to prevent the onset of PCCI or improve its outcomes

“Many people who recover from mild or moderate COVID-19 notice slowed thinking or memory loss, and this motivated us to leverage our experience in studying cognitive issues related to Alzheimer’s disease, multiple sclerosis, and HIV to examine this phenomenon,” said Dr. William T. Hu, associate professor and chief of cognitive neurology at Rutgers Robert Wood Johnson Medical School and the Institute for Health, Health Care Policy, and Aging Research, who is leading the study.

“We have found neuroinflammation is a common theme across many brain disorders, but not all neuroinflammation is the same,” he noted. “We developed a roadmap to study the protein and cellular changes involved in worsening - as well as alleviating - symptoms of brain fog. In addition, we are using the latest RNA sequencing technology to understand how inflammatory cells ‘misbehave’ to cause memory/thinking dysfunction in long COVID.”

Related Links:
Rutgers University

Platinum Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
Ultrasound System
FUTUS LE
Imaging Table
Stille imagiQ2
Infrared Digital Thermometer
R1B1

Print article

Channels

Surgical Techniques

view channel
Image: Miniaturized electric generators based on hydrogels for use in biomedical devices (Photo courtesy of HKU)

Hydrogel-Based Miniaturized Electric Generators to Power Biomedical Devices

The development of engineered devices that can harvest and convert the mechanical motion of the human body into electricity is essential for powering bioelectronic devices. This mechanoelectrical energy... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more