Friday, February 14, 2025

 

Ketamine: From club drug to antidepressant?




Cold Spring Harbor Laboratory
Ketamine binding pattern 

image: 

It’s been theorized that ketamine works by blocking a brain receptor called GluN1-2B-2D. Here, we see one of the many ways the drug’s chemical molecules (yellow) can bind to a specific part (the gray web) of the brain receptor.

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Credit: Furukawa lab/CSHL




Ketamine has received a Hollywood makeover. It used to be known as a rave drug (street name special K) and cat anesthetic. However, in recent years, some doctors have prescribed ketamine to treat conditions from post-traumatic stress disorder to depression. “The practice is not without controversy,” notes Cold Spring Harbor Laboratory (CSHL) Professor Hiro Furukawa.

‘Should we give a hallucinogen to patients in compromised mental states?’ wonder ketamine’s skeptics. The controversy came to a head in 2024 following the death of Matthew Perry. The popular TV actor, best known as Chandler on NBC’s Friends, died from a ketamine overdose. One person charged in connection with Perry’s death was the doctor who’d prescribed him ketamine for depression and anxiety.

“Even putting this aside, many questions remain regarding how ketamine affects the brain,” says Furukawa. “It’s been suggested for over a decade that the drug blocks a specific kind of NMDA receptor (NMDAR), called GluN1-2B-2D.” There was one big problem with this theory. Scientists weren’t quite sure that GluN1-2B-2D existed. A new study from the Furukawa lab shines much-needed light on the situation.

In a paper published in the journal Neuron, Furukawa and postdoc Hyunook Kang prove that GluN1-2B-2D does exist in the mammal brain. They then reconstruct a human version of GluN1-2B-2D. They don’t stop there. Using electron cryo-microscopy (cryo-EM), they capture GluN1-2B-2D in action. The neuroscientists identify the tension-and-release mechanism that controls GluN1-2B-2D movements. They can now see how this mysterious NMDAR opens and closes its ion channel pore. And they go another step further. They reveal several ways ketamine may bind to GluN1-2B-2D.

A series of stunningly detailed visualizations show ketamine molecules becoming attached to specific parts of GluN1-2B-2D. “It’s like a mesh,” explains Furukawa. “Over tiny fractions of a second, ketamine can latch onto these sections and close off the channel.” Furukawa and his colleagues captured four binding patterns. However, they believe there are many other ways ketamine can take hold.

It’s thought that ketamine may ease symptoms of depression and anxiety by affecting GluN1-2B-2D movement. But for how long should the channel remain open or closed? “This likely varies per patient,” Furukawa says. Likewise, side effects of ketamine therapy can range from mild hallucinations to full-on psychosis. However, if scientists can determine how GluN1-2B-2D movements affect the brain, they may be able to synthesize new versions of the drug with fewer harmful side effects. That could offer hope for millions of people living with depression and anxiety. So, that’s where Furukawa and his colleagues at CSHL will set their sights next.

GluN1-2B-2D movements [VIDEO] | 

This 3D animation, from Cold Spring Harbor Laboratory Professor Hiro Furukawa and postdoc Hyunook Kang, illustrates the tension-and-release mechanism that controls how brain receptor GluN1-2B-2D opens and closes its ion channel pore.

 

Multilevel stressors and systemic and tumor immunity in Black and White women with breast cancer



JAMA Network Open




About The Study: 

The findings of this cross-sectional study of Black and white women with breast cancer suggest that perceived stress, perceived inadequate social support, perceived racial and ethnic discrimination, and neighborhood deprivation were associated with deleterious alterations to the systemic and tumor immune environment, particularly for Black women. Understanding biology as a possible mediator of cancer health disparities may inform prevention and public health interventions.


Corresponding Author: To contact the corresponding author, Stefan Ambs, PhD, MPH, email ambss@mail.nih.gov.

To access the embargoed study: Visit our For The Media website at this link https://media.jamanetwork.com/

(doi:10.1001/jamanetworkopen.2024.59754)

Editor’s Note: Please see the article for additional information, including other authors, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

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Embed this link to provide your readers free access to the full-text article This link will be live at the embargo time 


http://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2024.59754?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=021425


About JAMA Network Open: JAMA Network Open is an online-only open access general medical journal from the JAMA Network. On weekdays, the journal publishes peer-reviewed clinical research and commentary in more than 40 medical and health subject areas. Every article is free online from the day of publication. 

 

Most comprehensive study on U.S. health care spending by county reveals wide variation



New analysis shows over 3,000 different health systems operating in the U.S.



Institute for Health Metrics and Evaluation

 



  • At $144 billion, type 2 diabetes was the most expensive single health condition.
  • Emergency department care had the fastest growth.

SEATTLE, Wash., Feb. 14, 2025 – Researchers present the most comprehensive study on U.S. health care spending and variations across 3,110 counties by four payers, 148 health conditions, 38 age/sex groups, and seven types of care. That’s according to the newest and most extensive studies published in JAMA and JAMA Health Forum today.

As part of this study, researchers at the Institute for Health Metrics and Evaluation (IHME) at the University of Washington’s School of Medicine examined over 40 billion insurance claims and nearly one billion facility records, as well as data from surveys.

The analysis identified some of the drastic fluctuations in health care expenses from coast to coast. For example, Nassau County in New York City’s metropolitan area is spending $13,332, the highest per capita health care expenditure in the U.S. That’s nearly four times some of the lowest figures in the country, like Clark County’s $3,410 in Idaho.

The research also found significant differences within the states from 2010 to 2019. For instance, Sumter County, a suburban area of Orlando, Florida, had the highest per capita health care expenditure of $11,680. That’s the 8th highest in the U.S. and almost double the $5,899 total in Osceola County, which is also part of the Orlando area. Additionally, it’s 2.5 times the state’s lowest total of $4,698 in Gadsden County in the Tallahassee area.

The states with the lowest per capita health care spending were Idaho with $6,028, Utah with $6,147, and New Mexico with $6,368. In contrast, the states with the highest expenses were Alaska with $9,282, New York with $9,115, and Massachusetts with $9,097.

Health Conditions

The difference in expenses was also apparent by health condition. Nationally, type 2 diabetes was the most expensive health condition at $144 billion. It was followed by other musculoskeletal disorders at $109 billion, oral disorders at $93 billion, ischemic heart disease at $81 billion, and urinary diseases at $72 billion.

When accounting for diabetes as a single health condition, Sumter County’s per capita total of $1,216 was the highest in the state and in the U.S., while some of the lowest expenditures for type 2 diabetes were found in states like Georgia, Alaska, and Colorado, where expenses were about 90% less.

The health condition with the fastest average annual per capita growth rate and with at least $5 billion of spending was autism spectrum disorders at 13%. Opioid use disorders had the second fastest rate at 9%, followed by alcohol use disorders at 7% and substance use disorders other than alcohol and opioid at 6%.

Types of Care

Researchers also examined costs by the seven types of care: ambulatory, inpatient, pharmaceutical, nursing facility, dental, home health, and emergency department. Ambulatory, which includes all primary care and outpatient services, accounted for most of the expenditures at 42%, totaling more than $1 trillion. Inpatient care accounted for 24%, totaling $578 billion, while 14% was for prescription drugs, which cost Americans $331 billion. Emergency department care had the lowest spending at just 2%, totaling $56 billion, but it had the fastest growth and the largest variation in per capita spending.

Three counties in California were among the top 10 figures in the U.S. for ambulatory care. San Francisco Bay Area’s Marin County had the highest at $6,443, and San Mateo County, also in the Bay Area, had the third highest at $6,099. Placer County in the greater Sacramento area had the 10th highest at $5,374. Comparing those totals with some of the lowest in the nation, counties in states like Texas spent 78% less for the same type of care. However, the highest figure within Texas was three times higher than the lowest, further demonstrating the disparities within state borders.

“The contrast in ambulatory care spending across the country highlights the urgent need to address gaps in access to primary care that take into account the extent to which people use services based on their geographic location, age, and health conditions,” said lead author and Associate Professor Dr. Joseph Dieleman at IHME.

Age

In addition to expenditure changes in the counties where people lived, dramatic variations occurred at different ages. More than 40% of expenses were for those older than 65 years, while less than 12% were for those under the age of 20. While more spending was on individuals aged 65 to 69 years than any other age group, the highest per capita spending was for the oldest age group of 85 and older.

Health Care Payers

Florida’s Sumter County had the highest per capita total in the U.S. for Medicare with $18,284. That’s three times higher than the lowest amounts in the country, which were in states such as Texas, Nebraska, and Vermont. The highest per capita private insurance figure was in D.C. at $10,955, making it seven to eight times the lowest costs in the U.S., which were in states such as Colorado, Kentucky, and Texas. The nation’s highest Medicaid spending was in Missouri at $12,420, which is four times the lowest spending, which was in states such as South Dakota, Alaska, and Oklahoma.
 
Understanding the Drivers

The main driver for the vast variations in health care expenditures was the utilization rate, or the extent to which people use health care services. It accounted for 65% of the variation in costs, while price and the intensity of services explained 24%. Age explained nearly 4% of the cost differences, while disease prevalence was not a major driver and accounted for 7% of spending variation. Utilization per prevalent case was most associated with insurance coverage, income, and obesity, while service price and intensity were most associated with median household income.

Differences in cross-state expenditures were also attributed to different factors. For Utah, the state with the least health care spending per capita, spending rates were lower for all types of care due to the young age profile. For Alaska, the state with the highest spending, spending rates were relatively high for ambulatory, hospital inpatient, and emergency department care.

Researchers believe these disparities in health care expenditures across states support the argument that some states have found more efficient ways to deliver care without escalating costs. Whether it is through innovative care models, more effective use of technology, or superior preventive care initiatives, they emphasize that these insights could guide a national strategy to modernize health care.

“If people had better insurance coverage, they would be more likely to pursue regular health checkups, potentially reducing the need for emergency care. This change would also lead to better health outcomes and allow emergency providers to focus on patients with urgent medical needs,” said Dr. Dieleman.

***EMBARGO: 11:00 am ET / 8:00 am PT Friday, Feb. 14, 2025*** 

Journalists can email IHMEMedia@UW.edu for embargoed interviews with the paper’s author.  

Journalists can also access embargoed copies of the paper, appendix, and datasets here:  
https://cloud.ihme.washington.edu/s/oRnLMpg7FSDDcJD

Password: IHMEHealthCareCosts021425
  
NOTE: THE ABOVE LINK IS FOR JOURNALISTS ONLY; IF YOU WISH TO PROVIDE A LINK FOR YOUR READERS, PLEASE USE THE FOLLOWING, WHICH WILL GO LIVE AT THE TIME THE EMBARGO LIFTS:  

Tracking US Health Care Spending by Health Condition and County:

https://jamanetwork.com/journals/jama/fullarticle/10.1001/jama.2024.26790?guestAccessKey=783582d7-4e27-4a8c-8b5a-ecebb4c21894&utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_content=tfl&utm_term=021425


Drivers of Variation in Health Care Spending Across US Counties:

https://jamanetwork.com/journals/jama-health-forum/fullarticle/10.1001/jamahealthforum.2024.5220?utm_source=For_The_Media&utm_medium=referral&utm_campaign=ftm_links&utm_term=021425

IHME’s visualization tool will also be updated with the latest county level data from both papers by publication date/time.

 

US Adults don’t trust health care to use AI responsibly and without harm



Study notes hospitals should increase or improve their communications with patients about using artificial intelligence tools



Michigan Medicine - University of Michigan





A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care systems to make sure an AI tool would not harm them.

The research letter was published in JAMA Network Open.

Adults who had higher levels of overall trust in their health care systems were more likely to believe their providers would protect them from AI-related harm.

The letter, authored by Jodyn Platt, Ph.D., of the Department of Learning Health Sciences at University of Michigan Medical School and Paige Nong, Ph.D., of the University of Minnesota School of Public Health comes from survey of a nationally representative sample of adults from the National Opinion Research Center’s AmeriSpeak Panel from June to July 2023. 

Additional insights include that female respondents were less likely than male respondents to trust their health care systems to use AI responsibility.

Health literacy or AI knowledge were not associated with trust in AI, suggesting that building trust in the use of AI will require meaningful engagement.

The authors note that future research should look at trust over time and with increased familiarity with AI.

Furthermore, health systems that adopt AI should increase or improve their communication about the tools used in patient care.

Paper cited: "Patients’ Trust in Health Systems to Use Artificial Intelligence", JAMA Network Open. DOI:10.1001/jamanetworkopen.2024.60628