Scientists Are Harnessing Sound Waves in Hopes of Treating Alzheimer’s
In 2010, a 67-year-old former executive assistant for a Fortune 500 company was diagnosed with mild cognitive impairment. By 2014, her doctors confirmed she had Alzheimer's disease.
As her disease progressed, she continued to live independently but wasn't able to drive anymore. Today, she can manage most of her everyday tasks, but her two daughters are considering a live-in caregiver. Despite her condition, the woman may represent a beacon of hope for the approximately 44 million people worldwide living with Alzheimer's disease. The now 74-year-old is among a small cadre of Alzheimer's patients who have undergone an experimental ultrasound procedure aimed at slowing cognitive decline.
In November 2020, Elisa Konofagou, a professor of biomedical engineering and director of the Ultrasound and Elasticity Imaging Laboratory at Columbia University, and her team used ultrasound to noninvasively open the woman's blood-brain barrier. This barrier is a highly selective membrane of cells that prevents toxins and pathogens from entering the brain while allowing vital nutrients to pass through. This regulatory function means the blood-brain barrier filters out most drugs, making treating Alzheimer's and other brain diseases a challenge.
Ultrasound uses high-frequency sound waves to produce live images from the inside of the human body. But scientists think it could also be used to boost the effectiveness of Alzheimer's drugs, or potentially even improve brain function in dementia patients without the use of drugs.
The procedure, which involves a portable ultrasound system, is the culmination of 17 years of lab work. As part of a small clinical trial, scientists positioned a sensor transmitting ultrasound waves on top of the woman's head while she sat in a chair. The sensor sends ultrasound pulses throughout the target region. Meanwhile, investigators intravenously infused microbubbles into the woman to boost the effects of the ultrasound. Three days after the procedure, scientists scanned her brain so that they could measure the effects of the treatments. Five months later, they took more images of her brain to see if the effects of the treatment lasted.
Promising Signs
After the first brain scan, Konofagou and her team found that amyloid-beta, the protein that clumps together in the brains of Alzheimer's patients and disrupts cell function, had declined by 14%. At the woman's second scan, amyloid levels were still lower than before the experimental treatment, but only by 10% this time. Konofagou thinks repeat ultrasound treatments given early on in the development of Alzheimer's may have the best chance at keeping amyloid plaques at bay.
This reduction in amyloid appeared to halt the woman's cognitive decline, at least temporarily. Following the ultrasound treatment, the woman took a 30-point test used to measure cognitive impairment in Alzheimer's. Her score — 22, indicating mild cognitive impairment — remained the same as before the intervention. Konofagou says this was actually a good sign.
"Typically, every six months an Alzheimer's patient scores two to three points lower, so this is highly encouraging," she says.
Konofagou speculates that the results might have been even more impressive had they applied the ultrasound on a larger section of the brain at a higher frequency. The selected site was just 4 cubic centimeters. Current safety protocols set by the U.S. Food and Drug Administration stipulate that investigators conducting such trials only treat one brain region with the lowest pressure possible.
The Columbia trial is aided by microbubble technology. During the procedure, investigators infused tiny, gas-filled spheres into the woman's veins to enhance the ultrasound reflection of the sound waves.
The big promise of ultrasound is that it could eventually make drugs for Alzheimer's obsolete.
"Ultrasound with microbubbles wakes up immune cells that go on to discard amyloid-beta," Konofagou says. "In this way, we can recover the function of brain neurons, which are destroyed by Alzheimer's in a sort of domino effect." What's more, a drug delivered alongside ultrasound can penetrate the brain at a dose up to 10 times higher.
Costas Arvanitis, an assistant professor at Georgia Institute of Technology who studies ultrasonic biophysics and isn't involved in the Columbia trial, is excited about the research. "First, by applying ultrasound you can make larger drugs — picture an antibody — available to the brain," he says. Then, you can use ultrasound to improve the therapeutic index, or the ratio of the effectiveness of a drug versus the ratio of adverse effects. "Some drugs might be effective but because we have to provide them in high doses to see significant responses they tend to come with side effects. By improving locally the concentration of a drug, you open up the possibility to reduce the dose."
The Columbia trial will enroll just six patients and is designed to test the feasibility and safety of the approach, not its efficacy. Still, Arvantis is hopeful about the potential benefits of the technique. "The technology has already been demonstrated to be safe, its components are now tuned to the needs of this specific application, and it's safe to say it's only a matter of time before we are able to develop personalized treatments," he says.
Konofagou and her colleagues recently presented their findings at the 20th Annual International Symposium for Therapeutic Ultrasound and intend to publish them in a scientific journal later this year. They plan to recruit more participants for larger trials, which will determine how effective the therapy is at improving memory and brain function in Alzheimer's patients. They're also in talks with pharmaceutical companies about ways to use their therapeutic approach to improve current drugs or even "create new drugs," says Konofagou.
A New Treatment Approach
On June 7, the FDA approved the first Alzheimer's disease drug in nearly two decades. Aducanumab, a drug developed by Biogen, is an antibody designed to target and reduce amyloid plaques. The drug has already sparked immense enthusiasm — and controversy. Proponents say the drug is a much-needed start in the fight against the disease, but others argue that the drug doesn't substantially improve cognition. They say the approval could open the door to the FDA greenlighting more Alzheimer's drugs that don't have a clear benefit, giving false hope to both patients and their families.
Konofagou's ultrasound approach could potentially boost the effects of drugs like aducanumab. "Our technique can be seamlessly combined with aducanumab in early Alzheimer's, where it has shown the most promise, to further enhance both its amyloid load reduction and further reduce cognitive deficits while using exactly the same drug regimen otherwise," she says. For the Columbia team, the goal is to use ultrasound to maximize the effects of aducanumab, as they've done with other drugs in animal studies.
But Konofagou's approach could transcend drug controversies, and even drugs altogether. The big promise of ultrasound is that it could eventually make drugs for Alzheimer's obsolete.
"There are already indications that the immune system is alerted each time ultrasound is exerted on the brain or when the brain barrier is being penetrated and gets activated, which on its own may have sufficient therapeutic effects," says Konofagou. Her team is now working with psychiatrists in hopes of using brain stimulation to treat patients with depression.
The potential to modulate the brain without drugs is huge and untapped, says Kim Butts Pauly, a professor of radiology, electrical engineering and bioengineering at Stanford University, who's not involved in the Columbia study. But she admits that scientists don't know how to fully control ultrasound in the brain yet. "We're only at the starting point of getting the tools to understand and harness how ultrasound microbubbles stimulate an immune response in the brain."
Meanwhile, the 74-year-old woman who received the ultrasound treatment last year, goes on about her life, having "both good days and bad days," her youngest daughter says. COVID-19's isolation took a toll on her, but both she and her daughters remain grateful for the opportunity to participate in the ultrasound trial.
"My mother wants to help, if not for herself, then for those who will follow her," the daughter says. She hopes her mother will be able to join the next phase of the trial, which will involve a drug in conjunction with the ultrasound treatment. "This may be the combination where the magic will happen," her daughter says.
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.