Short Story Contest Winner: "The Gerry Program"
It's an odd sensation knowing you're going to die, but it was a feeling Gerry Ferguson had become relatively acquainted with over the past two years. What most perplexed the terminally ill, he observed, was not the concept of death so much as the continuation of all other life.
Gerry's secret project had been in the works for two years now, ever since they found the growth.
Who will mourn me when I'm gone? What trait or idiosyncrasy will people most recall? Will I still be talked of, 100 years from now?
But Gerry didn't worry about these questions. He was comfortable that his legacy would live on, in one form or another. From his cozy flat in the west end of Glasgow, Gerry had managed to put his affairs in order and still find time for small joys.
Feeding the geese in summer at the park just down from his house, reading classics from the teeming bookcase in the living room, talking with his son Michael on Skype. It was Michael who had first suggested reading some of the new works of non-fiction that now littered the large oak desk in Gerry's study.
He was just finishing 'The Master Algorithm' when his shabby grandfather clock chimed six o'clock. Time to call Michael. Crammed into his tiny study, Gerry pulled his computer's webcam close and waved at Michael's smiling face.
"Hi Dad! How're you today?"
"I'm alright, son. How're things in sunny Australia?"
"Hot as always. How's things in Scotland?"
"I'd 'ave more chance gettin' a tan from this computer screen than I do goin' out there."
Michael chuckled. He's got that hearty Ferguson laugh, Gerry thought.
"How's the project coming along?" Michael asked. "Am I going to see it one of these days?"
"Of course," grinned Gerry, "I designed it for you."
Gerry's secret project had been in the works for two years now, ever since they found the growth. He had decided it was better not to tell Michael. He would only worry.
The two men chatted for hours. They discussed Michael's love life (or lack thereof), memories of days walking in the park, and their shared passion, the unending woes of Rangers Football Club. It wasn't until Michael said his goodbyes that Gerry noticed he'd been sitting in the dark for the best part of three hours, his mesh curtains casting a dim orange glow across the room from the street light outside. Time to get back to work.
*
Every night, Gerry sat at his computer, crawling forums, nourishing his project, feeding his knowledge and debating with other programmers. Even at age 82, Gerry knew more than most about algorithms. Never wanting to feel old, and with all the kids so adept at this digital stuff, Gerry figured he should give the Internet a try too. Besides, it kept his brain active and restored some of the sociability he'd lost in the previous decades as old friends passed away and the physical scope of his world contracted.
This night, like every night, Gerry worked away into the wee hours. His back would ache come morning, but this was the only time he truly felt alive these days. From his snug red brick home in Scotland, Gerry could share thoughts and information with strangers from all over the world. It truly was a miracle of modern science!
*
The next day, Gerry woke to the warm amber sun seeping in between a crack in the curtains. Like every morning, his thoughts took a little time to come into focus. Instinctively his hand went to the other side of the bed. Nobody there. Of course; she was gone. Rita, the sweetest woman he'd ever known. Four years this spring, God rest her soul.
Puttering around the cramped kitchen, Gerry heard a knock at the door. Who could that be? He could see two women standing in the hallway, their bodies contorted in the fisheye glass of the peephole. One looked familiar, but Gerry couldn't be sure. He fiddled with the locks and pulled the door open.
"Hi Gerry. How are you today?"
"Fine, thanks," he muttered, still searching his mind for where he'd seen her face before.
Noting the confusion in his eyes, the woman proffered a hand. "Alice, Alice Corgan. I pop round every now and again to check on you."
It clicked. "Ah aye! Come in, come in. Lemme get ya a cuppa." Gerry turned and shuffled into the flat.
As Gerry set about his tiny kitchen, Alice called from the living room, "This is Mandy. She's a care worker too. She's going to pay you occasional visits if that's alright with you."
Gerry poked his head around the doorway. "I'll always welcome a beautiful young lady in ma home. Though, I've tae warn you I'm a married man, so no funny business." He winked and ducked back into the kitchen.
Alice turned to Mandy with a grin. "He's a good man, our Gerry. You'll get along just fine." She lowered her voice. "As I said, with the Alzheimer's, he has to be reminded to take his medication, but he's still mostly self-sufficient. We installed a medi-bot to remind him every day and dispense the pills. If he doesn't respond, we'll get a message to send someone over."
Mandy nodded and scribbled notes in a pad.
"When I'm gone, Michael will have somethin' to remember me by."
"Also, and this is something we've been working on for a few months now, Gerry is convinced he has something…" her voice trailed off. "He thinks he has cancer. Now, while the Alzheimer's may affect his day-to-day life, it's not at a stage where he needs to be taken into care. The last time we went for a checkup, the doctor couldn't find any sign of cancer. I think it stems from--"
Gerry shouted from the other room: "Does the young lady take sugar?"
"No, I'm fine thanks," Mandy called back.
"Of course you don't," smiled Gerry. "Young lady like yersel' is sweet enough."
*
The following week, Mandy arrived early at Gerry's. He looked unsure at first, but he invited her in.
Sitting on the sofa nurturing a cup of tea, Alice tried to keep things light. "So what do you do in your spare time, Gerry?"
"I've got nothing but spare time these days, even if it's running a little low."
"Do you have any hobbies?"
"Yes actually." Gerry smiled. "I'm makin' a computer program."
Alice was taken aback. She knew very little about computers herself. "What's the program for?" she asked.
"Well, despite ma appearance, I'm no spring chicken. I know I don't have much time left. Ma son, he lives down in Australia now, he worked on a computer program that uses AI - that's artificial intelligence - to imitate a person."
Alice still looked confused, so Gerry pressed on.
"Well, I know I've not long left, so I've been usin' this open source code to make ma own for when I'm gone. I've already written all the code. Now I just have to add the things that make it seem like me. I can upload audio, text, even videos of masel'. That way, when I'm gone, Michael will have somethin' to remember me by."
Mandy sat there, stunned. She had no idea anybody could do this, much less an octogenarian from his small, ramshackle flat in Glasgow.
"That's amazing Gerry. I'd love to see the real thing when you're done."
"O' course. I mean, it'll take time. There's so much to add, but I'll be happy to give a demonstration."
Mandy sat there and cradled her mug. Imagine, she thought, being able to preserve yourself, or at least some basic caricature of yourself, forever.
*
As the weeks went on, Gerry slowly added new shades to his coded double. Mandy would leaf through the dusty photo albums on Gerry's bookcase, pointing to photos and asking for the story behind each one. Gerry couldn't always remember but, when he could, the accompanying stories were often hilarious, incredible, and usually a little of both. As he vividly recounted tales of bombing missions over Burma, trips to the beach with a young Michael and, in one particularly interesting story, giving the finger to Margaret Thatcher, Mandy would diligently record them through a Dictaphone to be uploaded to the program.
Gerry loved the company, particularly when he could regale the young woman with tales of his son Michael. One day, as they sat on the sofa flicking through a box of trinkets from his days as a travelling salesman, Mandy asked why he didn't have a smartphone.
He shrugged. "If I'm out 'n about then I want to see the world, not some 2D version of it. Besides, there's nothin' on there for me."
Alice explained that you could get Skype on a smartphone: "You'd be able to talk with Michael and feed the geese at the park at the same time," she offered.
Gerry seemed interested but didn't mention it again.
"Only thing I'm worried about with ma computer," he remarked, "is if there's another power cut and I can't call Michael. There's been a few this year from the snow 'n I hate not bein' able to reach him."
"Well, if you ever want to use the Skype app on my phone to call him you're welcome," said Mandy. "After all, you just need to add him to my contacts."
Gerry was flattered. "That's a relief, knowing I won't miss out on calling Michael if the computer goes bust."
*
Then, in early spring, just as the first green buds burst forth from the bare branches, Gerry asked Mandy to come by. "Bring that Alice girl if ya can - I know she's excited to see this too."
The next day, Mandy and Alice dutifully filed into the cramped study and sat down on rickety wooden chairs brought from the living room for this special occasion.
An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
With a dramatic throat clearing, Gerry opened the program on his computer. An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
The room was silent.
"Hiya Michael!" AI Gerry blurted. The real Gerry looked flustered and clicked around the screen. "I forgot to put the facial recognition on. Michael's just the go-to name when it doesn't recognize a face." His voice lilted with anxious excitement. "This is Alice," Gerry said proudly to the camera, pointing at Alice, "and this is Mandy."
AI Gerry didn't take his eyes from real Gerry, but grinned. "Hello, Alice. Hiya Mandy." The voice was definitely his, even if the flow of speech was slightly disjointed.
"Hi," Alice and Mandy stuttered.
Gerry beamed at both of them. His eyes flitted between the girls and the screen, perhaps nervous that his digital counterpart wasn't as polished as they'd been expecting.
"You can ask him almost anything. He's not as advanced as the ones they're making in the big studios, but I think Michael will like him."
Alice and Mandy gathered closer to the monitor. A mute Gerry grinned back from the screen. Sitting in his wooden chair, the real Gerry turned to his AI twin and began chattering away: "So, what do you think o' the place? Not bad eh?"
"Oh aye, like what you've done wi' it," said AI Gerry.
"Gerry," Alice cut in. "What did you say about Michael there?"
"Ah, I made this for him. After all, it's the kind o' thing his studio was doin'. I had to clear some space to upload it 'n show you guys, so I had to remove Skype for now, but Michael won't mind. Anyway, Mandy's gonna let me Skype him from her phone."
Mandy pulled her phone out and smiled. "Aye, he'll be able to chat with two Gerry's."
Alice grabbed Mandy by the arm: "What did you tell him?" she whispered, her eyes wide.
"I told him he can use my phone if he wants to Skype Michael. Is that okay?"
Alice turned to Gerry, who was chattering away with his computerized clone. "Gerry, we'll just be one second, I need to discuss something with Mandy."
"Righto," he nodded.
Outside the room, Alice paced up and down the narrow hallway.
Mandy could see how flustered she was. "What's wrong? Don't you like the chatbot? I think it's kinda c-"
"Michael's dead," Alice spluttered.
"What do you mean? He talks to him all the time."
Alice sighed. "He doesn't talk to Michael. See, a few years back, Michael found out he had cancer. He worked for this company that did AI chatbot stuff. When he knew he was dying he--" she groped in the air for the words-- "he built this chatbot thing for Gerry, some kind of super-advanced AI. Gerry had just been diagnosed with Alzheimer's and I guess Michael was worried Gerry would forget him. He designed the chatbot to say he was in Australia to explain why he couldn't visit."
"That's awful," Mandy granted, "but I don't get what the problem is. I mean, surely he can show the AI Michael his own chatbot?"
"No, because you can't get the AI Michael on Skype. Michael just designed the program to look like Skype."
"But then--" Mandy went silent.
"Michael uploaded the entire AI to Gerry's computer before his death. Gerry didn't delete Skype. He deleted the AI Michael."
"So… that's it? He-he's gone?" Mandy's voice cracked. "He can't just be gone, surely he can't?"
The women stood staring at each other. They looked to the door of the study. They could still hear Gerry, gabbing away with his cybercopy.
"I can't go back in there," muttered Mandy. Her voice wavered as she tried to stem the misery rising in her throat.
Alice shook her head and paced the floor. She stopped and stared at Mandy with grim resignation. "We don't have a choice."
When they returned, Gerry was still happily chatting away.
"Hiya girls. Ya wanna ask my handsome twin any other questions? If not, we could get Michael on the phone?"
Neither woman spoke. Gerry clapped his hands and turned gaily to the monitor again: "I cannae wait for ya t'meet him, Gerry. He's gonna be impressed wi' you."
Alice clasped her hands to her mouth. Tears welled in the women's eyes as they watched the old man converse with his digital copy. The heat of the room seemed to swell, becoming insufferable. Mandy couldn't take it anymore. She jumped up, bolted to the door and collapsed against a wall in the hallway. Alice perched on the edge of her seat in a dumb daze, praying for the floor to open and swallow the contents of the room whole.
Oblivious, Gerry and his echo babbled away, the blue glow of the screen illuminating his euphoric face. "Just wait until y'meet him Gerry, just wait."
A Doctor Who Treated His Own Rare Disease Is Tracking COVID-19 Treatments Hiding In Plain Sight
In late March, just as the COVID-19 pandemic was ramping up in the United States, David Fajgenbaum, a physician-scientist at the University of Pennsylvania, devised a 10-day challenge for his lab: they would sift through 1,000 recently published scientific papers documenting cases of the deadly virus from around the world, pluck out the names of any drugs used in an attempt to cure patients, and track the treatments and their outcomes in a database.
Before late 2019, no one had ever had to treat this exact disease before, which meant all treatments would be trial and error. Fajgenbaum, a pioneering researcher in the field of drug repurposing—which prioritizes finding novel uses for existing drugs, rather than arduously and expensively developing new ones for each new disease—knew that physicians around the world would be embarking on an experimental journey, the scale of which would be unprecedented. His intention was to briefly document the early days of this potentially illuminating free-for-all, as a sidebar to his primary field of research on a group of lymph node disorders called Castleman disease. But now, 11 months and 29,000 scientific papers later, he and his team of 22 are still going strong.
They're running a publicly accessible database called the CORONA Project (COvid19 Registry of Off-label & New Agents) that to date tracks 400 different COVID-19 treatments that have been tried somewhere in the world, along with the frequency of their use, and the outcomes.
"There's so many drugs being used all over the place, in different ways, with different outcomes," says Fajgenbaum. "We're trying to add some order to the madness."
20,000 people have accessed the registry—other physicians and researchers, those in the pharmaceutical industry, and even curious lay people—and the data are now being shared with the U.S. Food and Drug Administration in the hopes of launching large-scale trials that would lead to approving a constellation of treatment options for COVID-19 faster than any new drugs could come online.
"What David's group has done with the CORONA Project is on a scale that I don't think has ever been seen before," says Heather Stone, a health science policy analyst at the FDA who specializes in drug repurposing. She was not involved in establishing the project, but is now working with its data. "To collect and collate that information and make it openly accessible is a massive feat, and a huge benefit to the medical community," she says.
On a Personal Mission
In the science and medical world, Fajgenbaum lives a dual existence: he is both researcher and subject, physician and patient. In July 2010, when he was a healthy and physically fit 25-year-old finishing medical school, he began living through what would become a recurring, unprovoked, and overzealous immune response that repeatedly almost killed him.
His lymph nodes were inflamed; his liver, kidneys, and bone marrow were faltering; and he was dead tired all the time. At first his doctors mistook his mysterious illness for lymphoma, but his inflamed lymph nodes were merely a red herring. A month after his initial hospitalization, pathologists at Mayo Clinic finally diagnosed him with idiopathic multicentric Castleman disease—a particularly ruthless form of a class of lymph node disorders that doesn't just attack one part of the body, but many, and has no known cause. It's a rare diagnosis within an already rare set of disorders. Only about 1,500 Americans a year receive the same diagnosis.
Without many options for treatment, Fajgenbaum underwent recurring rounds of chemotherapy. Each time, the treatment would offer temporary respite from Castleman symptoms, but bring the full spate of chemotherapy side effects. And it wasn't a sustainable treatment for the long haul. Regularly dousing a person's cells in unmitigated toxicity was about as elegant a solution to Fajgenbaum's disease as bulldozing a house in response to a toaster fire. The fire might go out (though not necessarily), but the house would be destroyed.
A swirl of exasperation and doggedness finally propelled Fajgenbaum to take on a crucial question himself: Among all of the already FDA-approved drugs on the market, was there something out there, labeled for another use, that could beat back Castleman disease and that he could tolerate long-term? After months of research, he discovered the answer: sirolimus, a drug normally prescribed to patients receiving a kidney transplant, could be used to suppress his overactive immune system with few known side effects to boot.
Fajgenbaum became hellbent on devoting his practice and research to making similar breakthroughs for others. He founded the Castleman Disease Collaborative Network, to coordinate the research of others studying this bewildering disease, and directs a laboratory consumed with studying cytokine storms—out-of-control immune responses characterized by the body's release of cytokines, proteins that the immune system secretes and uses to communicate with and direct other cells.
In the spring of 2020, when cytokine storms emerged as a hallmark of the most severe and deadly cases of COVID-19, Fajgenbaum's ears perked up. Although SARS-CoV-2 itself was novel, Fajgenbaum already had almost a decade of experience battling the most severe biological forces it brought. Only this time, he thought, it might actually be easier to pinpoint a treatment—unlike Castleman disease, which has no known cause, at least here a virus was clearly the instigator.
"Because [a drug] looks promising, we need to do a well-designed, large randomized controlled trial to really investigate whether this drug works or not ... We don't use that to say, 'You should take it.'"
Thinking Beyond COVID
The week of March 13, when the World Health Organization declared COVID-19 a pandemic, Fajgenbaum found himself hoping that someone would make the same connection and apply the research to COVID. "Then like a minute later I was like, 'Why am I hoping that someone, somewhere, either follows our footsteps, or has a similar background to us? Maybe we just need to do it," he says. And the CORONA Project was born—first as a 10-day exercise, and later as the robust, interactive tool it now is.
All of the 400 treatments in the CORONA database are examples of repurposed drugs, or off-label uses: physicians are prescribing drugs to treat COVID that have been approved for a different disease. There are no bonafide COVID treatments, only inferences. The goal for people like Fajgenbaum and Stone is to identify potential treatments for further study and eventual official approval, so that physicians can treat the disease with a playbook in hand. When it works, drug repurposing opens up a way to move quickly: A range of treatments could be available to patients within just a few years of a totally new virus entering our reality compared with the 12 - 19 years new drug development takes.
"Companies for many decades have explored the use of their products for not just a single indication but often for many indications," says Stone. "'Supplemental approvals' are all essentially examples of drug repurposing, we just didn't call it that. The challenge, I think, is to explore those opportunities more comprehensively and systematically to really try to understand the full breadth of potential activity of any drug or molecule."
The left column shows the path of a repurposed drug, and on the right is the path of a newly discovered and developed drug.
Cures Within Reach
In Fajgenbaum's primary work, promising drugs stand out easily. For a disease like Castleman, where improvement almost never occurs on its own, any improvement that follows a treatment can pretty clearly be attributed to that treatment. But Fajgenbaum says tracking COVID outcomes is less straightforward since "the vast majority of people will get better, whether they take steroids or they take Skittles." That's why the intent of the database is to identify promising treatments only to generate hypotheses and fruitful clinical trials, not to offer full-throated treatment recommendations. Within the registry, Fajgenbaum considers a drug promising if it's being used in humans, not just in lab animals, and a significant proportion of cases report patient improvement.
"It's that sort of combination of rock-solid randomized controlled trial data, plus anecdotal retrospective data, that we combine to say, 'Wow, this drug looks more promising than another,'" says Fajgenbaum. "Because it looks promising, we need to do a well-designed, large randomized controlled trial to really investigate whether this drug works or not ... We don't use that to say, 'You should take it.'"
Experts say that the search for repurposed drugs to treat COVID could have implications for rare diseases in general. Rare diseases, of which Castleman is one, affect 400 million people around the world. 95% of them don't have a tailor-made, FDA-approved drug treatment. Developing one is a lengthy and often prohibitively expensive process. If only a dozen people will benefit from and buy a drug, it's not often worth it to pharmaceutical companies to spend millions of dollars making them. On occasion when they do, however, that overhead shows up in the price tag: the top 10 most expensive drugs in the world are all for rare diseases, often making them inaccessible to patients. Identifying new clinical uses for drugs that already exist is critical for opening a trap door out of a cycle that prioritizes profits over health outcomes.
"COVID is an interesting case where it's demonstrated that when the scientific and medical community really focuses all of its efforts and talents on a single problem, a solution can be identified and in a much faster time period than has ever historically been the case," says Stone. "I certainly wish it hadn't taken a pandemic to do that, but I think it does have lessons for the future in terms of our ability to accomplish things that we might have previously not thought were possible"—for example, mainstreaming the idea of drug repurposing as a treatment tool, even long after the pandemic subsides.
A Confounding Virus
The FDA declined to comment on what drugs it was fast-tracking for trials, but Fajgenbaum says that based on the CORONA Project's data, which includes data from smaller trials that have already taken place, he feels there are three drugs that seem the most clearly and broadly promising for large-scale studies. Among them are dexamethasone, which is a steroid with anti-inflammatory effects, and baricitinib, a rheumatoid arthritis drug, both of which have enabled the sickest COVID-19 patients to bounce back by suppressing their immune systems. The third most clearly promising drug is heparin, a blood thinner, which a recent trial showed to be most helpful when administered at a full dose, more so than at a small, preventative dose. (On the flipside, Fajgenbaum says "it's a little sad" that in the database you can see hydroxychloroquine is still the most-prescribed drug being tried as a COVID treatment around the world, despite over the summer being debunked widely as an effective treatment, and continuously since then.)
One of the confounding attributes of SARS-CoV-2 is its ability to cause such a huge spectrum of outcomes. It's unlikely a silver bullet treatment will emerge under that reality, so the database also helps surface drugs that seem most promising for a specific population. Fluvoxamine, a selective serotonin reuptake inhibitor used to treat obsessive compulsive disorder, showed promise in the recovery of outpatients—those who were sick, but not severely enough to be hospitalized. Tocilizumab, which was actually developed for Castleman disease, the disease Fajgenbaum is managing, was initially written off as a COVID treatment because it failed to benefit large portions of hospitalized patients, but now seems to be effective if used on intensive care unit patients within 24 hours of admission—these are some of the sickest patients with the highest risk of dying.
Other than fluvoxamine, most of the drugs labeled as promising do skew toward targeting hospitalized patients, more than outpatients. One reason, Fajgenbaum says, is that "if you're in a hospital it's very easy to give you a drug and to track you, and there are very objective measurements as to whether you die, you progress to a ventilator, etc." Tracking outpatients is far more difficult, especially when folks have been routinely asked to stay home, quarantine, and free up hospital resources if they're experiencing only mild symptoms.
But the other reason for the skew is because COVID is very unlike most other diseases in terms of the human immune response the virus triggers. For example, if oncology treatments show some benefit to people with the highest risk of dying, then they usually work extremely well if administered in the earlier stages of a cancer diagnosis. Across many diseases, this dialing backward is a standard approach to identifying promising treatments. With COVID, all of that reasoning has proven moot.
As we've seen over the last year, COVID cases often start as asymptomatic, and remain that way for days, indicating the body is mounting an incredibly weak immune response initially. Then, between days five and 14, as if trying to make up for lost time, the immune system overcompensates by launching a major inflammatory response, which in the sickest patient can lead to the type of cytokine storms that helped Fajgenbaum realize his years of Castleman research might be useful during this public health crisis. Because of this phased response, you can't apply the same treatment logic to all cases.
"In COVID, drugs that work late tend to not work if given early, and drugs that work early tend to not work if given late," says Fajgenbaum. "Generally this … is not a commonplace thing for a virus."
"There are drugs that are literally sitting in every single hospital pharmacy in the country that, if a study shows it's effective, can be deployed that evening to patients on a massive scale."
This see-sawing necessitates tracking a constellation of drugs that might work for different stages of the disease as a patient moves from the weak immune response stage into the overzealous immune response.
"COVID is difficult, compared to other diseases, because there are so many different levels of disease severity, and recovery at different rates," says Stone, the FDA researcher. "That makes it hard to see the patterns or signals and it makes it very important to collect very, very large numbers of cases in order to really reliably identify signals."
This particular moment in the pandemic feels like a massive tipping point, or the instant a tiny pinprick of light finally appeared at the end of the tunnel: several vaccines are already here, with more on the way imminently. In the U.S., more than 65 million doses of the vaccine have been administered, and positive COVID cases are finally falling back to levels not seen since October. On the hopeful surface, it might seem a strange moment to be preparing to launch trials that will validate treatments for a virus it seems the U.S. may finally be beating back. But at best, Americans are still months away from reaching herd immunity through vaccination, and new circulating variants may threaten to upend our fragile progress.
"In the meantime, there are drugs that are literally sitting in every single hospital pharmacy in the country that, if a study shows it's effective, can be deployed that evening to patients on a massive scale. It wouldn't have to be newly produced, it wouldn't have to be shipped, it's literally there already," says Fajgenbaum. "The idea that you can save a lot of lives by finding things that are just already there I think is really compelling, given how many people are going to die over these next few months."
Even after that, not everyone can or will be vaccinated, and, as the Wall Street Journal recently reported, "The pathogen will circulate for years, or even decades, leaving society to coexist with Covid-19 much as it does with other endemic diseases like flu, measles, and HIV." Neither vaccines, personal behavior, or treatments alone is a panacea against the virus, but together they might be.
"It's important to explore all avenues in this public health emergency, and drug repurposing can continue to play a role as the pandemic continues and evolves," says Stone. "I think COVID variants in particular are a big concern at the moment, and therefore continuing to investigate new therapeutics, even as the vaccines roll out, will continue to be a priority."
How a Nobel-Prize Winner Fought Her Family, Nazis, and Bombs to Change our Understanding of Cells Forever
When Rita Levi-Montalcini decided to become a scientist, she was determined that nothing would stand in her way. And from the beginning, that determination was put to the test. Before Levi-Montalcini became a Nobel Prize-winning neurobiologist, the first to discover and isolate a crucial chemical called Neural Growth Factor (NGF), she would have to battle both the sexism within her own family as well as the racism and fascism that was slowly engulfing her country
Levi-Montalcini was born to two loving parents in Turin, Italy at the turn of the 20th century. She and her twin sister, Paola, were the youngest of the family's four children, and Levi-Montalcini described her childhood as "filled with love and reciprocal devotion." But while her parents were loving, supportive and "highly cultured," her father refused to let his three daughters engage in any schooling beyond the basics. "He loved us and had a great respect for women," she later explained, "but he believed that a professional career would interfere with the duties of a wife and mother."
At age 20, Levi-Montalcini had finally had enough. "I realized that I could not possibly adjust to a feminine role as conceived by my father," she is quoted as saying, and asked his permission to finish high school and pursue a career in medicine. When her father reluctantly agreed, Levi-Montalcini was ecstatic: In just under a year, she managed to catch up on her mathematics, graduate high school, and enroll in medical school in Turin.
By 1936, Levi-Montalcini had graduated medical school at the top of her class and decided to stay on at the University of Turin as a research assistant for histologist and human anatomy professor Guiseppe Levi. Levi-Montalcini started studying nerve cells and nerve fibers – the tiny, slender tendrils that are threaded throughout our nerves and that determine what information each nerve can transmit. But it wasn't long before another enormous obstacle to her scientific career reared its head.
Science Under a Fascist Regime
Two years into her research assistant position, Levi-Montalcini was fired, along with every other "non-Aryan Italian" who held an academic or professional career, thanks to a series of antisemitic laws passed by Italy's then-leader Benito Mussolini. Forced out of her academic position, Levi-Montalcini went to Belgium for a fellowship at a neurological institute in Brussels – but then was forced back to Turin when the German army invaded.
Levi-Montalcini decided to keep researching. She and Guiseppe Levi built a makeshift lab in Levi-Montalcini's apartment, borrowing chicken eggs from local farmers and using sewing needles to dissect them. By dissecting the chicken embryos from her bedroom laboratory, she was able to see how nerve fibers formed and died. The two continued this research until they were interrupted again – this time, by British air raids. Levi-Montalcini fled to a country cottage to continue her research, and then two years later was forced into hiding when the German army invaded Italy. Levi-Montalcini and her family assumed different identities and lived with non-Jewish friends in Florence to survive the Holocaust. Despite all of this, Levi-Montalcini continued her work, dissecting chicken embryos from her hiding place until the end of the war.
"The discovery of NGF really changed the world in which we live, because now we knew that cells talk to other cells, and that they use soluble factors. It was hugely important."
A Post-War Discovery
Several years after the war, when Levi-Montalcini was once again working at the University of Turin, a German embryologist named Viktor Hamburger invited her to Washington University in St. Louis. Hamburger was impressed by Levi-Montalcini's research with her chicken embryos, and secured an opportunity for her to continue her work in America. The invitation would "change the course of my life," Levi-Montalcini would later recall.
During her fellowship, Montalcini grew tumors in mice and then transferred them to chick embryos in order to see how it would affect the chickens. To her surprise, she noticed that introducing the tumor samples would cause nerve fibers to grow rapidly. From this, Levi-Montalcini discovered and was able to isolate a protein that she determined was able to cause this rapid growth. She later named this Nerve Growth Factor, or NGF.
From there, Levi-Montalcini and her team launched new experiments to test NGF, injecting it and repressing it to see the effect it had in a test subject's body. When the team injected NGF into embryonic mice, they observed nerve growth, as well as the mouse pups developing faster – their eyes opening earlier and their teeth coming in sooner – than the untreated group. When the team purified the NGF extract, however, it had no effect, leading the team to believe that something else in the crude extract of NGF was influencing the growth of the newborn mice. Stanley Cohen, Levi-Montalcini's colleague, identified another growth factor called EGF – epidermal growth factor – that caused the mouse pups' eyes and teeth to grow so quickly.
Levi-Montalcini continued to experiment with NGF for the next several decades at Washington University, illuminating how NGF works in our body. When Levi-Montalcini injected newborn mice with an antiserum for NGF, for example, her team found that it "almost completely deprived the animals of a sympathetic nervous system." Other experiments done by Levi-Montalcini and her colleagues helped show the role that NGF plays in other important biological processes, such as the regulation of our immune system and ovulation.
"The discovery of NGF really changed the world in which we live, because now we knew that cells talk to other cells, and that they use soluble factors. It was hugely important," said Bill Mobley, Chair of the Department of Neurosciences at the University of California, San Diego School of Medicine.
Her Lasting Legacy
After years of setbacks, Levi-Montalcini's groundbreaking work was recognized in 1986, when she was awarded the Nobel Prize in Medicine for her discovery of NGF (Cohen, her colleague who discovered EGF, shared the prize). Researchers continue to study NGF even to this day, and the continued research has been able to increase our understanding of diseases like HIV and Alzheimer's.
Levi-Montalcini never stopped researching either: In January 2012, at the age of 102, Levi-Montalcini published her last research paper in the journal PNAS, making her the oldest member of the National Academy of Science to do so. Before she died in December 2012, she encouraged other scientists who would suffer setbacks in their careers to keep pursuing their passions. "Don't fear the difficult moments," Levi-Montalcini is quoted as saying. "The best comes from them."