A woman suffers from a debilitating headache during a hangover.
Probiotics seem to be everywhere these days. They are marketed for numerous health issues, from irritable bowel syndrome and vaginal yeast infections to life-threatening disorders like the bacterial infection Clostridium difficile.
The new probiotic drink is made of genetically engineered bacteria meant to help people feel better the day after drinking.
While the probiotic gummies that you'll find in supermarkets may not do much for you, good clinical evidence does support the C. difficile treatment, known as a fecal transplant, despite a recent setback, and there are always new probiotic regimens entering the scene. One emerging such treatment targets the hangover.
The Lowdown
You read that right – although "hangover" is a loaded term, according to ZBiotics, the company that's developing the product. The popular understanding of a hangover implies a collection of symptoms like a headache and fatigue, many of which result simply from dehydration and low-quality sleep. But those aren't the problems that the new product, a genetically engineered form of a common bacterial species, was developed to confront.
"Dehydration and poor sleep have actually always been pretty simple to deal with by having a good breakfast and some caffeine," notes ZBiotics founder and microbiologist Zack Abbott. Instead, the product targets acetaldehyde, a chemical that accumulates in the body if more than small amounts of alcohol are consumed.
Normally, body cells produce an enzyme that converts acetaldehyde into harmless acetic acid. But the enzyme becomes overwhelmed if you drink more than a little alcohol, or if you have a certain genetic deficiency.
A new probiotic drink aims to neutralize a chemical that builds up in the body after drinking alcohol.
(Zbiotics)
"I started ZBiotics with the hypothesis that if we used edible probiotic bacteria to make enzymes, and chose applications in which the enzymes these microbes make would be useful directly in the gut after you eat them, we could create all sorts of beneficial products," says Abbott. "I started with alcohol with the idea that we can augment the body's natural ability to digest its nasty byproduct, acetaldehyde, helping people feel better the day after drinking."
Next Steps
Based on the premise that the engineered bacteria augments a natural body function, ZBiotics had the product "sampled by thousands of beta-testers," including ZBiotics personnel, with "almost unanimously positive feedback," says Abbott.
"We are working on future scientifically controlled testing for publication."
ZBiotics is to set to launch on the market next week as a probiotic supplement, a category that does not require FDA approval. But some observers are troubled over whether the new product is attempting to serve a medical function without going through the standard drug testing process.
"I am skeptical of any new alternative product that is not FDA approved, has not undergone rigorous double-blind placebo control testing and adverse effects evaluation, and cites anecdotes as evidence of its efficacy," warns Heather Berlin, a cognitive neuroscientist and assistant professor of psychiatry at Icahn School of Medicine at Mount Sinai, in New York.
Abbott acknowledges that his product still needs to undergo rigorous study. "We are working on future scientifically controlled testing for publication," he says, noting that the company was "founded and [is] run by people with backgrounds in academic research."
Open Questions
Moving beyond the need for proper testing, Berlin has an additional concern: will a "hangover"-blocking substance cause people to drink more alcohol, or mask important physiological sensations like thirst?
"If that negative feeling is obscured, they may not [rehydrate], which can cause numerous adverse effects," Berlin says.
As for excessive drinking, there is a treatment on the market that does the opposite of Zbiotics. Disulfiram, commonly given to alcohol abusers, inhibits the very enzyme that ZBiotics supplements, causing acetaldehyde to accumulate especially fast. This makes drinking a pretty miserable experience.
But Abbott says his product would not interfere with disulfiram.
"[Zbiotics] is about enjoying the special moments in life where alcohol happens to be involved, but isn't the main focus."
"Disulfiram globally inhibits the enzyme throughout the entire body, including the liver, creating a massive amount of acetaldehyde at once, making the person ill immediately and forcing them to stop drinking right away," Abbott explains, whereas his product exerts its effects in the gut, and is really only helpful the next day. Thus, timing is everything; the probiotic would not change the experience at the moment of drinking.
"ZBiotics isn't about going out and ripping shots all night," Abbott says. "It's about enjoying the special moments in life where alcohol happens to be involved, but isn't the main focus. Weddings, celebrations, weekends with friends. And wanting to do that enjoyably while being safe and responsible at the same time."
Giving robots self-awareness as they move through space - and maybe even providing them with gene-like methods for storing rules of behavior - could be important steps toward creating more intelligent machines.
Now roboticists are going a step further, training their creations to do even better: understand their own image in space and interact with humans like humans do. Today, there are already robot-teachers like KeeKo, robot-pets like Moffin, robot-babysitters like iPal, and robotic companions for the elderly like Pepper.
But even these reasonably intelligent creations still have huge limitations, some scientists think. “There are niche applications for the current generations of robots,” says professor Anthony Zador at Cold Spring Harbor Laboratory—but they are not “generalists” who can do varied tasks all on their own, as they mostly lack the abilities to improvise, make decisions based on a multitude of facts or emotions, and adjust to rapidly changing circumstances. “We don’t have general purpose robots that can interact with the world. We’re ages away from that.”
Robotic spatial self-awareness – the achievement by the team at Columbia – is an important step toward creating more intelligent machines. Hod Lipson, professor of mechanical engineering who runs the Columbia lab, says that future robots will need this ability to assist humans better. Knowing how you look and where in space your parts are, decreases the need for human oversight. It also helps the robot to detect and compensate for damage and keep up with its own wear-and-tear. And it allows robots to realize when something is wrong with them or their parts. “We want our robots to learn and continue to grow their minds and bodies on their own,” Chen says. That’s what Zador wants too—and on a much grander level. “I want a robot who can drive my car, take my dog for a walk and have a conversation with me.”
Columbia scientists have trained a robot to become aware of its own "body," so it can map the right path to touch a ball without running into an obstacle, in this case a square.
Jane Nisselson and Yinuo Qin/ Columbia Engineering
Today’s technological advances are making some of these leaps of progress possible. One of them is the so-called Deep Learning—a method that trains artificial intelligence systems to learn and use information similar to how humans do it. Described as a machine learning method based on neural network architectures with multiple layers of processing units, Deep Learning has been used to successfully teach machines to recognize images, understand speech and even write text.
Trained by Google, one of these language machine learning geniuses, BERT, can finish sentences. Another one called GPT3, designed by San Francisco-based company OpenAI, can write little stories. Yet, both of them still make funny mistakes in their linguistic exercises that even a child wouldn’t. According to a paper published by Stanford’s Center for Research on Foundational Models, BERT seems to not understand the word “not.” When asked to fill in the word after “A robin is a __” it correctly answers “bird.” But try inserting the word “not” into that sentence (“A robin is not a __”) and BERT still completes it the same way. Similarly, in one of its stories, GPT3 wrote that if you mix a spoonful of grape juice into your cranberry juice and drink the concoction, you die. It seems that robots, and artificial intelligence systems in general, are still missing some rudimentary facts of life that humans and animals grasp naturally and effortlessly.
How does one give robots a genome? Zador has an idea. We can’t really equip machines with real biological nucleotide-based genes, but we can mimic the neuronal blueprint those genes create.
It's not exactly the robots’ fault. Compared to humans, and all other organisms that have been around for thousands or millions of years, robots are very new. They are missing out on eons of evolutionary data-building. Animals and humans are born with the ability to do certain things because they are pre-wired in them. Flies know how to fly, fish knows how to swim, cats know how to meow, and babies know how to cry. Yet, flies don’t really learn to fly, fish doesn’t learn to swim, cats don’t learn to meow, and babies don’t learn to cry—they are born able to execute such behaviors because they’re preprogrammed to do so. All that happens thanks to the millions of years of evolutions wired into their respective genomes, which give rise to the brain’s neural networks responsible for these behaviors. Robots are the newbies, missing out on that trove of information, Zador argues.
A neuroscience professor who studies how brain circuitry generates various behaviors, Zador has a different approach to developing the robotic mind. Until their creators figure out a way to imbue the bots with that information, robots will remain quite limited in their abilities. Each model will only be able to do certain things it was programmed to do, but it will never go above and beyond its original code. So Zador argues that we have to start giving robots a genome.
How does one do that? Zador has an idea. We can’t really equip machines with real biological nucleotide-based genes, but we can mimic the neuronal blueprint those genes create. Genomes lay out rules for brain development. Specifically, the genome encodes blueprints for wiring up our nervous system—the details of which neurons are connected, the strength of those connections and other specs that will later hold the information learned throughout life. “Our genomes serve as blueprints for building our nervous system and these blueprints give rise to a human brain, which contains about 100 billion neurons,” Zador says.
If you think what a genome is, he explains, it is essentially a very compact and compressed form of information storage. Conceptually, genomes are similar to CliffsNotes and other study guides. When students read these short summaries, they know about what happened in a book, without actually reading that book. And that’s how we should be designing the next generation of robots if we ever want them to act like humans, Zador says. “We should give them a set of behavioral CliffsNotes, which they can then unwrap into brain-like structures.” Robots that have such brain-like structures will acquire a set of basic rules to generate basic behaviors and use them to learn more complex ones.
Currently Zador is in the process of developing algorithms that function like simple rules that generate such behaviors. “My algorithms would write these CliffsNotes, outlining how to solve a particular problem,” he explains. “And then, the neural networks will use these CliffsNotes to figure out which ones are useful and use them in their behaviors.” That’s how all living beings operate. They use the pre-programmed info from their genetics to adapt to their changing environments and learn what’s necessary to survive and thrive in these settings.
For example, a robot’s neural network could draw from CliffsNotes with “genetic” instructions for how to be aware of its own body or learn to adjust its movements. And other, different sets of CliffsNotes may imbue it with the basics of physical safety or the fundamentals of speech.
At the moment, Zador is working on algorithms that are trying to mimic neuronal blueprints for very simple organisms—such as earthworms, which have only 302 neurons and about 7000 synapses compared to the millions we have. That’s how evolution worked, too—expanding the brains from simple creatures to more complex to the Homo Sapiens. But if it took millions of years to arrive at modern humans, how long would it take scientists to forge a robot with human intelligence? That’s a billion-dollar question. Yet, Zador is optimistic. “My hypotheses is that if you can build simple organisms that can interact with the world, then the higher level functions will not be nearly as challenging as they currently are.”
