If approved by the FDA, a new procedure for kidney transplants that doesn't require anti-rejection medication could soon become the standard of care.
Talaris is now moving into the final clinical trial, phase III, before submitting for FDA approval. Known as Freedom-1, this trial has 17 sites open throughout the U.S., and Talaris will enroll a total of 120 kidney transplant recipients. One day after receiving their donor’s kidney, 80 people will undergo the company’s therapy, involving the donor’s stem cells and other critical cells that are processed at their facility. Forty will have a regular kidney transplant and remain on immunosuppression to provide a control group.
“The beauty of this procedure is that I don’t have to take all of the anti-rejection drugs,” says Robert Waddell, a finance professional. “I forget that I ever had any kidney issues. That’s how impactful it is.”
The procedure was pioneered decades ago by Suzanne Ildstad as a faculty member at the University of Pittsburgh before she became founding CEO of Talaris and then its Chief Scientific Officer. If approved by the FDA, the method could soon become the standard of care for patients in need of a kidney transplant.
“We are working to find a way to reprogram the immune system of transplant recipients so that it sees the donated organ as [belonging to one]self and doesn’t attack it,” explains Scott Requadt, CEO of Talaris. “That obviates the need for lifelong immunosuppression.”
Each year, there are roughly 20,000 kidney transplants, making kidneys the most transplanted organ. About 6,500 of those come from living donors, while deceased donors provide roughly 13,000.
One of the challenges, Requadt points out, is that kidney transplant recipients aren’t always aware of all the implications of immunosuppression. Typically, they will need to take about 20 anti-rejection drugs several times a day to provide immunosuppression as well as treat complications caused by the toxicities of immunosuppression medications. The side effects of chronic immunosuppression include weight gain, high blood pressure, and high cholesterol. These cardiovascular comorbidities, Requadt says, are “often more frequently the cause of death than failure of a transplanted organ.”
Patients who are chronically immunosuppressed generally have much higher rates of infections and cancers that have an immune component to them, such as skin cancers.
For the past couple of years, those patients have experienced heightened anxiety because of the COVID-19 pandemic. Immune-suppressing medicine used to protect their new organ also makes it hard for patients to build immunity to foreign invaders like COVID-19.
A study appearing in the Proceedings of the National Academy of Sciences found the probability of a pandemic with similar impact to COVID-19 is about 2 percent in any year, and estimated that the probability of novel disease outbreaks will grow three-fold in the next few decades. All the more reason to identify an FDA-approved alternative to harsh immunosuppressive drugs.
Of the 18 patients during the phase II research trial who received the Talaris therapy, didn’t take immunosuppression medication and were vaccinated, only two ended up with a COVID infection, according to a review of the data. Among patients who needed to continue taking immunosuppressants or those who didn’t have them but were unvaccinated, the rates of infection were between 40 and 60 percent.
In the earlier phase II study by Talaris with 37 patients, the combined transplantation approach allowed 70 percent of patients to get off all immunosuppression.
“We’ve followed that whole cohort for more than six and a half years and one of them for 12 years from transplant, and every single patient that we got off immunosuppression has been able to stay off,” Requadt says.
That one patient, Robert Waddell, 55, was especially thankful to be weaned off immunosuppressive drugs approximately one year after his transplant procedure. The Louisville resident had long watched his mother, sister and other family members with polycystic kidney disease, or PKD, suffer the effects of chronic immunosuppression. That became his greatest fear when he was diagnosed with end stage renal failure.
Waddell enrolled in the phase II research taking place in Louisville after learning about it in early 2006. He chose to remain in the study when it relocated its clinical headquarters to Northwestern University’s medical center in Chicago a couple years later.
Before surgery, he underwent an enervating regimen of chemotherapy and radiation. It’s required to clear out a patient’s bone marrow cells so that they can be replaced by the donor’s cells. Waddell says the result was worth it: he had his combined kidney and immune system stem cell transplant in May 2009, without any need for chronic immunosuppression.
“I call it ‘short-term pain, long-term gain,’ because it was difficult to go through the conditioning, but after that, it was great,” he says. “I’ve talked to so many kidney recipients who say, ‘I wish I would have done that,’ because most people don’t think about clinical trials, but I was very fortunate.”
Waddell has every reason to support the success of this research, especially given the genetic disorder, PKD, that has plagued his family. One of his four children has PKD. He is anxious for the procedure to become standard of care, if and when his son needs it.
The Talaris procedure was pioneered decades ago by Suzanne Ildstad, founding CEO of Talaris and the company's Chief Scientific Officer, pictured here with the current CEO, Scott Requadt.
Talaris
“The beauty of this procedure is that I don’t have to take all of the anti-rejection drugs,” says Waddell, a finance professional. “I forget that I ever had any kidney issues. That’s how impactful it is.”
Talaris will continue to follow Waddell and the rest of his cohort to track the effectiveness and safety of the procedure. According to Requadt, the average life of a transplanted kidney is 12 to 15 years, partly because the immunosuppressive drugs worsen the functioning of the organ each year.
“We were the first group to show that we could robustly and fairly reproducibly do this in a clinical setting in humans,” Requadt says. “Most important, we’ve been able to show that we can still get a good engraftment of the stem cells from the donor, even if there is a profound…mismatch between the donor and the recipient’s immune systems.”
In kidney transplantation, it’s important to match for human leukocyte antigens (HLA) because there is a better graft survival in HLA-identical kidney transplants compared with HLA mismatched transplants.
About three months after the transplant, Talaris researchers look for evidence that the donated immune cells and stem cells have engrafted, while making a donor immune system for the patient. If more than 50 percent of the T cells contain the donor’s DNA after six months, patients can start taking fewer immunosuppressants.
“We know from phase II that in our patients who were able to tolerize [accept the organ without rejection] to their donated organ, we saw completely preserved and in fact slightly increased kidney function,” Requadt says. “So, it stands to reason that if you eliminate the drugs that are associated with declining kidney function that you would preserve kidney function, so hopefully the patient will have that one kidney for life.”
Matthew Cooper, director of kidney and pancreas transplantation for MedStar Georgetown Transplant Institute in Washington, DC, states that, “Right now, the Achilles’ heel is we have such a long waiting list and few donors that people die every day waiting for a kidney transplant. Eventually, we will eliminate the organ shortage so that people won’t die from organ failure.”
Cooper, a nationally recognized clinical transplant surgeon for 20 years, says when he started his career, finding a way for patients to forgo immunosuppression was considered “the Holy Grail” of modern transplant medicine.
“Now that we’ve got the protocols in place and some personal examples of how that can happen, it’s pretty exciting to see that all coming together,” he adds.
Artificial Intelligence is already helping to grow some of the food we eat.
The chef-farmers choose from among 45 types of herb and leafy-greens seeds, plop them into grow trays, and a few weeks later they pick and serve. While success is predicated on at least a small amount of these humans’ care, the systems are autonomously surveilled round-the-clock from Babylon’s base of operations. And artificial intelligence is helping to run the show.
Babylon piloted the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off.
Imagine consistently perfect greens and tomatoes and strawberries, grown hyper-locally, using less water, without chemicals or environmental contaminants. This is the hefty promise of controlled environment agriculture (CEA) — basically, indoor farms that can be hydroponic, aeroponic (plant roots are suspended and fed through misting), or aquaponic (where fish play a role in fertilizing vegetables). But whether they grow 4,160 leafy-green servings per year, like one Babylon farm, or millions of servings, like some of the large, centralized facilities starting to supply supermarkets across the U.S., they seek to minimize failure as much as possible.
Babylon’s soilless hydroponic growing system
Courtesy Babylon Micro-Farms
Here, AI is starting to play a pivotal role. CEA growers use it to help “make sense of what’s happening” to the plants in their care, says Scott Lowman, vice president of applied research at the Institute for Advanced Learning and Research (IALR) in Virginia, a state that’s investing heavily in CEA companies. And although these companies say they’re not aiming for a future with zero human employees, AI is certainly poised to take a lot of human farming intervention out of the equation — for better and worse.
Most of these companies are compiling their own data sets to identify anything that might block the success of their systems. Babylon had already integrated sensor data into its farms to measure heat and humidity, the nutrient content of water, and the amount of light plants receive. Last year, they got a National Science Foundation grant that allowed them to pilot the use of specialized cameras that take pictures in different spectrums to gather some less-obvious visual data about plants’ wellbeing and alert people if something seems off. “Will this plant be healthy tomorrow? Are there things…that the human eye can't see that the plant starts expressing?” says Amandeep Ratte, the company’s head of data science. “If our system can say, Hey, this plant is unhealthy, we can reach out to [users] preemptively about what they’re doing wrong, or is there a disease at the farm?” Ratte says. The earlier the better, to avoid crop failures.
Natural light accounts for 70 percent of Greenswell Growers’ energy use on a sunny day.
Courtesy Greenswell Growers
IALR’s Lowman says that other CEA companies are developing their AI systems to account for the different crops they grow — lettuces come in all shapes and sizes, after all, and each has different growing needs than, for example, tomatoes. The ways they run their operations differs also. Babylon is unusual in its decentralized structure. But centralized growing systems with one main location have variabilities, too. AeroFarms, which recently declared bankruptcy but will continue to run its 140,000-square foot vertical operation in Danville, Virginia, is entirely enclosed and reliant on the intense violet glow of grow lights to produce microgreens.
Different companies have different data needs. What data is essential to AeroFarms isn’t quite the same as for Greenswell Growers located in Goochland County, Virginia. Raising four kinds of lettuce in a 77,000-square-foot automated hydroponic greenhouse, the vagaries of naturally available light, which accounts for 70 percent of Greenswell’s energy use on a sunny day, affect operations. Their tech needs to account for “outside weather impacts,” says president Carl Gupton. “What adjustments do we have to make inside of the greenhouse to offset what's going on outside environmentally, to give that plant optimal conditions? When it's 85 percent humidity outside, the system needs to do X, Y and Z to get the conditions that we want inside.”
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen.
Nevertheless, every CEA system has the same core needs — consistent yield of high quality crops to keep up year-round supply to customers. Additionally, “Everybody’s got the same set of problems,” Gupton says. Pests may come into a facility with seeds. A disease called pythium, one of the most common in CEA, can damage plant roots. “Then you have root disease pressures that can also come internally — a change in [growing] substrate can change the way the plant performs,” Gupton says.
AI will help identify diseases, as well as when a plant is thirsty or overly hydrated, when it needs more or less calcium, phosphorous, nitrogen. So, while companies amass their own hyper-specific data sets, Lowman foresees a time within the next decade “when there will be some type of [open-source] database that has the most common types of plant stress identified” that growers will be able to tap into. Such databases will “create a community and move the science forward,” says Lowman.
In fact, IALR is working on assembling images for just such a database now. On so-called “smart tables” inside an Institute lab, a team is growing greens and subjects them to various stressors. Then, they’re administering treatments while taking images of every plant every 15 minutes, says Lowman. Some experiments generate 80,000 images; the challenge lies in analyzing and annotating the vast trove of them, marking each one to reflect outcome—for example increasing the phosphate delivery and the plant’s response to it. Eventually, they’ll be fed into AI systems to help them learn.
For all the enthusiasm surrounding this technology, it’s not without downsides. Training just one AI system can emit over 250,000 pounds of carbon dioxide, according to MIT Technology Review. AI could also be used “to enhance environmental benefit for CEA and optimize [its] energy consumption,” says Rozita Dara, a computer science professor at the University of Guelph in Canada, specializing in AI and data governance, “but we first need to collect data to measure [it].”
The chef-farmers can choose from 45 types of herb and leafy-greens seeds.
Courtesy Babylon Micro-Farms
Any system connected to the Internet of Things is also vulnerable to hacking; if CEA grows to the point where “there are many of these similar farms, and you're depending on feeding a population based on those, it would be quite scary,” Dara says. And there are privacy concerns, too, in systems where imaging is happening constantly. It’s partly for this reason, says Babylon’s Ratte, that the company’s in-farm cameras all “face down into the trays, so the only thing [visible] is pictures of plants.”
Tweaks to improve AI for CEA are happening all the time. Greenswell made its first harvest in 2022 and now has annual data points they can use to start making more intelligent choices about how to feed, water, and supply light to plants, says Gupton. Ratte says he’s confident Babylon’s system can already “get our customers reliable harvests. But in terms of how far we have to go, it's a different problem,” he says. For example, if AI could detect whether the farm is mostly empty—meaning the farm’s user hasn’t planted a new crop of greens—it can alert Babylon to check “what's going on with engagement with this user?” Ratte says. “Do they need more training? Did the main person responsible for the farm quit?”
Lowman says more automation is coming, offering greater ability for systems to identify problems and mitigate them on the spot. “We still have to develop datasets that are specific, so you can have a very clear control plan, [because] artificial intelligence is only as smart as what we tell it, and in plant science, there's so much variation,” he says. He believes AI’s next level will be “looking at those first early days of plant growth: when the seed germinates, how fast it germinates, what it looks like when it germinates.” Imaging all that and pairing it with AI, “can be a really powerful tool, for sure.”
Researchers from the University of Cambridge have laid the foundations for growing synthetic embryos that could develop a beating heart, gut and brain.
The organoid revolution
In 1981, scientists discovered how to keep stem cells alive. This was a significant breakthrough, as stem cells have notoriously rigorous demands. Nevertheless, stem cells remained a relatively niche research area, mainly because scientists didn’t know how to convince the cells to turn into other cells.
Then, in 1987, scientists embedded isolated stem cells in a gelatinous protein mixture called Matrigel, which simulated the three-dimensional environment of animal tissue. The cells thrived, but they also did something remarkable: they created breast tissue capable of producing milk proteins. This was the first organoid — a clump of cells that behave and function like a real organ. The organoid revolution had begun, and it all started with a boob in Jello.
For the next 20 years, it was rare to find a scientist who identified as an “organoid researcher,” but there were many “stem cell researchers” who wanted to figure out how to turn stem cells into other cells. Eventually, they discovered the signals (called growth factors) that stem cells require to differentiate into other types of cells.
For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells.
By the end of the 2000s, researchers began combining stem cells, Matrigel, and the newly characterized growth factors to create dozens of organoids, from liver organoids capable of producing the bile salts necessary for digesting fat to brain organoids with components that resemble eyes, the spinal cord, and arguably, the beginnings of sentience.
Synthetic embryos
Organoids possess an intrinsic flaw: they are organ-like. They share some characteristics with real organs, making them powerful tools for research. However, no one has found a way to create an organoid with all the characteristics and functions of a real organ. But Magdalena Żernicka-Goetz, a developmental biologist, might have set the foundation for that discovery.
Żernicka-Goetz hypothesized that organoids fail to develop into fully functional organs because organs develop as a collective. Organoid research often uses embryonic stem cells, which are the cells from which the developing organism is created. However, there are two other types of stem cells in an early embryo: stem cells that become the placenta and those that become the yolk sac (where the embryo grows and gets its nutrients in early development). For a human embryo (and its organs) to develop successfully, there needs to be a “dialogue” between these three types of stem cells. In other words, Żernicka-Goetz suspected the best way to grow a functional organoid was to produce a synthetic embryoid.
As described in the aforementioned Nature paper, Żernicka-Goetz and her team mimicked the embryonic environment by mixing these three types of stem cells from mice. Amazingly, the stem cells self-organized into structures and progressed through the successive developmental stages until they had beating hearts and the foundations of the brain.
“Our mouse embryo model not only develops a brain, but also a beating heart [and] all the components that go on to make up the body,” said Żernicka-Goetz. “It’s just unbelievable that we’ve got this far. This has been the dream of our community for years and major focus of our work for a decade and finally we’ve done it.”
If the methods developed by Żernicka-Goetz’s team are successful with human stem cells, scientists someday could use them to guide the development of synthetic organs for patients awaiting transplants. It also opens the door to studying how embryos develop during pregnancy.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
