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."
Avalanche rescue dogs train to find and dig out people buried in snow slides
By the time he is three, Lume, like Huckleberry, will be a fully trained avy pup and will join seven other avy dogs on Breckenridge ski patrol team. Some of the team members, both human and canine, are also certified to work with Colorado Rapid Avalanche Deployment, a coordinated response team that works with the Summit County Sheriff’s office for avalanche emergencies outside of the ski slopes’ boundaries.
There have been 19 avalanche deaths in the U.S. this season, according to avalanche.org, which tracks slides; eight in Colorado. During the entirety of last season there were 17. Avalanche season runs from November through June, but avalanches can occur year-round.
High tech and high stakes
Complementing avy dogs’ ability to smell people buried in a slide, avalanche detection, rescue and recovery is becoming increasingly high tech. There are transceivers, signal locators, ground scanners and drones, which are considered “games changers” by many in avalanche rescue and recovery
For a person buried in an avalanche, the chance of survival plummets after 20 minutes, so every moment counts.
A drone can provide thermal imaging of objects caught in a slide; what looks like a rock from far away might be a human with a heat signature. Transceivers, also known as beacons, send a signal from an avalanche victim to a companion. Signal locators, like RECCO reflectors which are often sewn directly into gear, can echo back a radar signal sent by a detector; most ski resorts have RECCO detector units.
Research suggests that Ground Penetrating Radar (GPR), an electromagnetic tool used by geophysicists to pull images from inside the ground, could be used to locate an avalanche victim. A new study from the Department of Energy’s Sandia National Laboratories suggests that a computer program developed to pinpoint the source of a chemical or biological terrorist attack could also be used to find someone submerged in an avalanche. The search algorithm allows for small robots (described as cockroach-sized) to “swarm” a search area. Researchers say that this distributed optimization algorithm can help find avalanche victims four times faster than current search mechanisms. For a person buried in an avalanche, the chance of survival plummets after 20 minutes, so every moment counts.
An avy dog in training is picking up scent
Sarah McLear
While rescue gear has been evolving, predicting when a slab will fall remains an emerging science — kind of where weather forecasting science was in the 1980s. Avalanche forecasting still relies on documenting avalanches by going out and looking,” says Ethan Greene, director of the Colorado Avalanche Information Center (CAIC). “So if there's a big snowstorm, and as you might remember, most avalanches happened during snowstorms, we could have 10,000 avalanches that release and we document 50,” says Greene. “Avalanche forecasting is essentially pattern recognition,” he adds--and understanding the layering structure of snow.
However, determining where the hazards lie can be tricky. While a dense layer of snow over a softer, weaker layer may be a recipe for an avalanche, there’s so much variability in snowpack that no one formula can predict the trigger. Further, observing and measuring snow at a single point may not be representative of all nearby slopes. Finally, there’s not enough historical data to help avalanche scientists create better prediction models.
That, however, may be changing.
Last year, an international group of researchers created computer simulations of snow cover using 16 years of meteorological data to forecast avalanche hazards, publishing their research in Cold Regions Science and Technology. They believe their models, which categorize different kinds of avalanches, can support forecasting and determine whether the avalanche is natural (caused by temperature changes, wind, additional snowfall) or artificial (triggered by a human or animal).
With smell receptors ranging from 800 million for an average dog, to 4 billion for scent hounds, canines remain key to finding people caught in slides.
With data from two sites in British Columbia and one in Switzerland, researchers built computer simulations of five different avalanche types. “In terms of real time avalanche forecasting, this has potential to fill in a lot of data gaps, where we don't have field observations of what the snow looks like,” says Simon Horton, a postdoctoral fellow with the Simon Fraser University Centre for Natural Hazards Research and a forecaster with Avalanche Canada, who participated in the study. While complex models that simulate snowpack layers have been around for a few decades, they weren’t easy to apply until recently. “It's been difficult to find out how to apply that to actual decision-making and improving safety,” says Horton. If you can derive avalanche problem types from simulated snowpack properties, he says, you’ll learn “a lot about how you want to manage that risk.”
The five categories include “new snow,” which is unstable and slides down the slope, “wet snow,” when rain or heat makes it liquidly, as well as “wind-drifted snow,” “persistent weak layers” and “old snow.” “That's when there's some type of deeply buried weak layer in the snow that releases without any real change in the weather,” Horton explains. “These ones tend to cause the most accidents.” One step by a person on that structurally weak layer of snow will cause a slide. Horton is hopeful that computer simulations of avalanche types can be used by scientists in different snow climates to help predict hazard levels.
Greene is doubtful. “If you have six slopes that are lined up next to each other, and you're going to try to predict which one avalanches and the exact dimensions and what time, that's going to be really hard to do. And I think it's going to be a long time before we're able to do that,” says Greene.
What both researchers do agree on, though, is that what avalanche prediction really needs is better imagery through satellite detection. “Just being able to count the number of avalanches that are out there will have a huge impact on what we do,” Greene says. “[Satellites] will change what we do, dramatically.” In a 2022 paper, scientists at the University of Aberdeen in England used satellites to study two deadly Himalayan avalanches. The imaging helped them determine that sediment from a 2016 ice avalanche plus subsequent snow avalanches contributed to the 2021 avalanche that caused a flash flood, killing over 200 people. The researchers say that understanding the avalanches characteristics through satellite imagery can inform them how one such event increases the magnitude of another in the same area.
Avy dogs trainers hide in dug-out holes in the snow, teaching the dogs to find buried victims
Sarah McLear
Lifesaving combo: human tech and Mother Nature’s gear
Even as avalanche forecasting evolves, dogs with their built-in rescue mechanisms will remain invaluable. With smell receptors ranging from 800 million for an average dog, to 4 billion for scent hounds, canines remain key to finding people caught in slides. (Humans in comparison, have a meager 12 million.) A new study published in the Journal of Neuroscience revealed that in dogs smell and vision are connected in the brain, which has not been found in other animals. “They can detect the smell of their owner's fingerprints on a glass slide six weeks after they touched it,” says Nicholas Dodman, professor emeritus at Cummings School of Veterinary Medicine at Tufts University. “And they can track from a boat where a box filled with meat was buried in the water, 100 feet below,” says Dodman, who is also co-founder and president of the Center for Canine Behavior Studies.
Another recent study from Queens College in Belfast, United Kingdom, further confirms that dogs can smell when humans are stressed. They can also detect the smell of a person’s breath and the smell of the skin cells of a deceased person.
The emerging avalanche-predicting human-made tech and the incredible nature-made tech of dogs’ olfactory talents is the lifesaving “equipment” that Leffler believes in. Even when human-made technology develops further, it will be most efficient when used together with the millions of dogs’ smell receptors, Leffler believes. “It is a combination of technology and the avalanche dog that will always be effective in finding an avalanche victim.”
