VR can spot early symptoms of Alzheimer's: Study

Agencies
May 24, 2019

London, May 24: Virtual reality (VR) can identify early symptoms of Alzheimer's disease more accurately than 'gold standard' cognitive tests currently in use, a study claims.

Researchers at the University of Cambridge in the UK noted that brain contains a mental 'satnav' (satellite navigation) of where we are, where we have been, and how to find our way around.

A key component of this internal satnav is a region of the brain known as the entorhinal cortex.

This is one of the first regions to be damaged in Alzheimer's disease, which may explain why 'getting lost' is one of the first symptoms of the disease.

However, the pen-and-paper cognitive tests used in the clinic to diagnose the condition are unable to test for navigation difficulties.

In collaboration with Professor Neil Burgess at University College London (UCL) in the UK, a team at Cambridge led by Dennis Chan developed and trialed a VR navigation test in patients at risk of developing dementia.

In the test, a patient dons a VR headset and undertakes a test of navigation while walking within a simulated environment.

Successful completion of the task requires intact functioning of the entorhinal cortex, so Chan's team hypothesised that patients with early Alzheimer's disease would be disproportionately affected on the test.

The study, published in the journal Brain, recruited 45 patients with mild cognitive impairment (MCI).

Patients with MCI typically exhibit memory impairment, but while MCI can indicate early Alzheimer's, it can also be caused by other conditions such as anxiety and even normal ageing.

Establishing the cause of MCI is crucial for determining whether affected individuals are at risk of developing dementia in the future.

The researchers took samples of cerebrospinal fluid (CSF) to look for biomarkers of underlying Alzheimer's disease in their MCI patients, with 12 testing positive.

They also recruited 41 age-matched healthy controls for comparison.

All of the patients with MCI performed worse on the navigation task than the healthy controls.

MCI patients with positive CSF markers -- indicating the presence of Alzheimer's disease, thus placing them at risk of developing dementia -- performed worse than those with negative CSF markers at low risk of future dementia.

The VR navigation task was better at differentiating between these low and high-risk MCI patients than a battery of currently-used tests considered to be the gold standard for the diagnosis of early Alzheimer's.

"These results suggest a VR test of navigation may be better at identifying early Alzheimer's disease than tests we use at present in the clinic and in research studies," said Chan.

VR could also help clinical trials of future drugs aimed at slowing down, or even halting, a progression of Alzheimer's disease, researchers said.

Currently, the first stage of drug trials involves testing in animals, typically mouse models of the disease.

"The brain cells underpinning navigation are similar in rodents and humans, so testing navigation may allow us to overcome this roadblock in Alzheimer's drug trials and help translate basic science discoveries into clinical use," said Chan.

"We've wanted to do this for years, but it's only now that VR technology has evolved to the point that we can readily undertake this research in patients," he said.

Chan believes technology could play a crucial role in diagnosing and monitoring Alzheimer's disease.

He is working with Professor Cecilia Mascolo at Cambridge to develop apps for detecting the disease and monitoring its progression.

These apps would run on smartphones and smartwatches, researchers said.

As well as looking for changes in how we navigate, the apps will track changes in other everyday activities such as sleep and communication, they said.

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Agencies
June 17,2020

Leading physicians are celebrating a small dose of good news that arrived Tuesday about dexamethasone, a cheap and widely used steroid shown to be able to save lives among COVID-19 patients, but also cautioning against releasing study results by press release during a global health emergency, like in the case of the latest dexamethasone study by University of Oxford.

"It will be great news if dexamethasone, a cheap steroid, really does cut deaths by one-third in ventilated patients with COVID19, but after all the retractions and walk backs, it is unacceptable to tout study results by press release without releasing the paper", Atul Gawande, surgeon and CEO of Haven Healthcare, tweeted.

"Bottom line is, good news," Dr. Fauci, America's foremost infectious diseases expert told a US newswire on Tuesday, soon after the dexamethasone results were announced in the UK.

Fauci, who has long championed the therapeutics-first view said that dexamethasone is a "significant improvement" in the available therapeutic options currently available.

On Medical Twitter and Facebook, doctors broadly agree that dexamethasone use aligns well with the way COVID19 attacks the body's immune system. Fauci said the results in the Oxford study make "perfect sense" in that context.

"We should see the number of people who actually survive go up, if the study holds up," virologist and epidemiologist Dr. Joseph Fair told a television network.

Global coronavirus cases crossed 8 million on Tuesday. In the US, Texas and Florida are facing a new wave of cases after lifting lockdown orders earlier than medical experts recommended. Amidst the relentless graph upwards, the dexamethasone study results injected hope for better survival rates among those most seriously ill.

World Health Organization chief scientist Soumya Swaminathan welcomed the results from the randomised control trial.

Dr Eugene Gu, Founder and CEO of CoolQuit tweeted that he is "genuinely impressed" with the UK dexamethasone trial. This may be a "game changer", he wrote.

"There's no conflict of interest as dexamethasone is a generic steroid. The mechanism of action makes sense because steroids can reduce cytokine storms and overactive immune systems that makes COVID-19 so deadly. The number needed to treat is 8 ventilated patients which is great."

The Oxford study found that dexamethasone reduced deaths by 35 percent in patients who needed treatment with breathing machines and by 20 percent in those only needing supplemental oxygen. Dexamethasone was one of 5 drugs studied in a large clinical trial in the United Kingdom named RECOVERY, short for Randomised Evaluation of COVID-19 Therapy.

Peter Horby, chief investigator of the University of Oxford clinical trial, said dexamethasone is the first drug to be shown to improve survival in COVID-19. Details of the study have not been released. The trial organisers said they made their announcement via a news release because of "the public health importance of these results." According to Horby's public comments, there was a lot of initial resistance to studying steroids.

During the study, 2,104 patients were randomly selected to be given 6 milligrams of dexamethasone once a day (either by mouth or by intravenous injection) for 10 days. That group was compared with 4,321 patients who received the usual care alone.

Researchers estimated that dexamethasone would prevent one death for every eight patients treated while on ventilators and one for every 25 patients on extra oxygen alone.

UK experts have called the study results a breakthrough in the fight against the virus. The researchers have promised they would publish the results soon.

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Agencies
January 25,2020

Washington D.C., Jan 25: A new study conducted by a team of researchers reveals why individuals who have a history of early life adversity (ELA) are disproportionately prone to opioid addiction.

The study conducted examined how early adversities interact with factors such as increased access to opioids to directly influence brain development and function, causing a higher potential for opioid addiction.

The study was lead by UCI researchers and was published in Molecular Psychiatry.

Tallie Z. Baram, MD, PhD, the Danette Shepard Chair in Neurological Sciences at the UCI School of Medicine and one of the senior researchers for the study, was on the take that the widely known factor genetics that plays major role in addiction vulnerability, cannot be solely held responsible for the recent rise in opioid abuse.

To further clarify, the researchers simulated ELA in rats by limiting bedding and nesting materials during a short, postnatal period of time.

In female rats, this led to striking opioid addiction-like characteristics including an increased relapse- behaviour, for example.

As observed in addicted humans, the rats were willing to work very hard (pay a very high price) to obtain the drug.

Baram said: "Ultimately, we found that conditions during sensitive developmental periods can lead to vulnerability to the addictive effects of opioid drugs, especially in females, which is consistent with the prevalence of ELA in heroin-addicted women."

These findings can be used to highlight the importance given to sex differences in future ELA-related studies on opioid addiction, and in future prevention or intervention strategies being developed to address the growing opioid crisis.

The study conducted examined how early adversities interact with factors such as increased access to opioids to directly influence brain development and function, causing a higher potential for opioid addiction.

The study was lead by UCI researchers and was published in Molecular Psychiatry.

The study found that unpredictable, fragmented early life environments may lead to abnormal maturation of certain brain circuits, which profoundly impacts brain function and persists into adolescence and adulthood.

Tallie Z. Baram, MD, PhD, the Danette Shepard Chair in Neurological Sciences at the UCI School of Medicine and one of the senior researchers for the study, was on the take that the widely known factor genetics that plays major role in addiction vulnerability, cannot be solely held responsible for the recent rise in opioid abuse.

To further clarify, the researchers implanted ELA in rats by limiting bedding and nesting materials during a short, postnatal period of time.

In female rats, this led to striking opioid addiction-like characteristics including an increased relapse- behaviour, for example.

As observed in addicted humans, the rats were willing to work very hard (pay a very high price) to obtain the drug.

Baram said: "Ultimately, we found that conditions during sensitive developmental periods can lead to vulnerability to the addictive effects of opioid drugs, especially in females, which is consistent with the prevalence of ELA in heroin-addicted women."

These findings can be used to highlight the importance given to sex differences in future ELA-related studies on opioid addiction, and in future prevention or intervention strategies being developed to address the growing opioid crisis.

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Agencies
June 21,2020

Lower neighbourhood socioeconomic status and greater household crowding increase the risk of becoming infected with SARS-CoV-2, the virus that causes COVID-19, warn researchers.

"Our study shows that neighbourhood socioeconomic status and household crowding are strongly associated with risk of infection," said study lead author Alexander Melamed from Columbia University in the US.

"This may explain why Black and Hispanic people living in these neighbourhoods are disproportionately at risk for contracting the virus," Melamed added.

For the findings, published in the journal JAMA, the researchers examined the relationships between COVID-19 infection and neighbourhood characteristics in 396 women who gave birth during the peak of the Covid-19 outbreak in New York City. Since March 22, all women admitted to the hospitals for delivery have been tested for the virus, which gave the researchers the opportunity to detect all infections -- including infections with no symptoms -- in a defined population

The strongest predictor of COVID-19 infection among these women was residence in a neighbourhood where households with many people are common.The findings showed that women who lived in a neighbourhood with high household membership were three times more likely to be infected with the virus. Neighbourhood poverty also appeared to be a factor, the researchers said.Women were twice as likely to get COVID-19 if they lived in neighbourhoods with a high poverty rate, although that relationship was not statistically significant due to the small sample size.

The study revealed that there was no association between infection and population density.

"New York City has the highest population density of any city in the US, but our study found that the risks are related more to density in people's domestic environments rather than density in the city or within neighbourhoods," says co-author Cynthia Gyamfi-Bannerman."

The knowledge that SARS-CoV-2 infection rates are higher in disadvantaged neighbourhoods and among people who live in crowded households could help public health officials target preventive measures," the authors wrote.

Recently, another study published in the Journal of the American Planning Association, showed that dense areas were associated with lower COVID-19 death rates.

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