Does an Obesity Gene Exist?

Genes play a big role in determining how a person looks including our eye color, hair color, and height, but can your genes also determine your waistline? As of now, 61% of Canadians are overweight or obese and that number is even higher in America, with 66% of its citizens overweight or obese.  While these numbers can be attributed to a more sedentary lifestyle and poor diet, genetics has been shown to be a factor. A study in 1986 found that adopted children’s BMI more closely matched their biological parents than adoptive parents. While environmental factors play a huge role in a person’s weight, the importance of genetics cannot be understated.

One of the first genes to be linked to obesity was the melanocortin-4-receptor gene (MC4R). In 1998 a study found that mutations in MC4R would lead to early-onset obesity in children. However, this mutation is extremely rare, affecting less than 5% of those suffering from obesity leading researchers to search for more common genetic variations. Starting in 2002 scientists began to perform genome-wide association studies (GWAS). Instead of looking at genomes of a few hundred people, scientists could now look at entire DNA sequences of hundreds of thousands of people in order to find links between certain genes and illness.  A GWAS in 2007 led to the discovery that variations in the fat mass and obesity (FTO) gene were associated with higher BMI’s. These variations were much more common with 43% of the population carrying this “risky” allele of the FTO gene.  The study found that individuals with certain variations of this gene were 1.67 times as likely to be obese. Despite this, the FTO gene itself only raised BMI .4 kg/m^2 an amount much too small to lead to the increase in BMI observed (3 kg/M^2). This is why the majority of obesity in the population is caused by many genes, not just one. Since 2006 GWAS has led to the discovery of more than 50 genes associated with obesity.

The discovery of these genes not only can tell us who is predisposed to becoming obese, but who is also more likely to suffer from metabolic diseases associated with obesity like heart disease, stroke, and type 2 diabetes. This video from the University of Michigan explains some of the surprises that came from studying genes related to obesity and how we can use this information to benefit people.

YouTube Preview Image

 

 

However, just discovering these genes isn’t enough. In order to treat these variations, we have to better understand the mechanism of these genes. Recent studies have revealed that variations of the FTO can cause alterations in satiety that people feel, but the exact mechanism of these effects are still largely unknown. For now, proper exercise and nutrition can counter the effects of most of these “fat” genes. In the future, people may be able to find the best way to prevent weight gain based on their genetic makeup. Only time will tell if future discoveries can reverse this obesity epidemic.

 

By Dylan Chambers

Social Media Addiction – Do you have it?

Have you found yourself constantly checking your phone when someone likes your post or sends you a message? Then you might have what is called “social media addiction”.

Tiktok, an example of a popular social media app. (via Wikimedia Commons)

How does Social Media Addiction work?

Cognitive neuroscientists have shown that rewarding social stimuli – positive feedback by our peers, messages from loved ones – activate dopaminergic reward pathways. Dopaminergic reward pathways are pathways that release the neurotransmitter dopamine, a molecule that causes pleasure. The brain has three major dopaminergic reward pathways,  the nigrostriatal, the mesocortical, and the mesolimbic system. These pathways are activated when a user receives social stimuli on social media, specifically a notification.  Therefore, this is why when you receive a notification, you experience a feeling of pleasure.

Dopamine pathways in the brain labelled as the mesolimbic, nigrostriatal, and mesocortical pathway (via Wikimedia Commons)

When talking about social media, Facebook, Snapchat, Instagram, Tiktok are all prominently huge social apps that many teenagers/young adults use. Every notification from social media apps like these, whether it’s a message, a “like” on Instagram, or a Facebook notification is scheduled on a variable reward schedule, introduced by psychologist B.F. Skinner.  These apps are designed with the schedule in mind to maximize dopamine release, producing addictive tendencies similar to gambling and recreational drugs like cocaine to keep users using their products as much as possible.

How can I tell if I have social media addiction or will be likely to be addicted?

Addiction is normally classified as “engagement in the behaviour to achieve appetitive effects,  preoccupation with the behaviour, temporary satiation,  loss of control, and suffering negative consequences.” In the context of social media addiction, it would mean users would be:

  • Consistently checking our phones to engage with social media apps.
  • Only feeling satisfied when we engage with the apps.
  • Suffering negative feelings when using or not using social media.

As well,  a study demonstrates that users that struggle with “fear of missing out” (FOMO) behaviours predicted social media addiction. Additionally, it is also noted that attachment anxiety and avoidance predicted social media addiction, but this relationship was no longer significant after the addition of FOMO. Furthermore, the study finds users who display extraversion and neuroticism are more likely to use social media in the first place.

What does this mean for me if I’m addicted?

Social media addiction can lead to lower self-esteem, where low self-esteem is associated with lower satisfaction with life. Consequently, due to low self-esteem, it was further found that social media addiction was affecting depression indirectly. Many users suffering from social media addiction also found themselves experiencing time distortion, where those who were addicted were more likely to present significant upward time estimate bias. Additionally, the following Ted Talk by Bailey Parnell further highlights social media and its role in causing a poor mental health state.

Preventative Measures

Curing social media addiction is hard. As previously mentioned, companies that make the apps we use purposely design their apps to maximize the use of our dopamine-driven reward circuitry to keep us continually using their apps. Seemingly, the only way to cure the addiction is to simply stop using the apps, and remove them from our phones.

Martin Au-yeung

From Earth to Beyond: Colonizing Mars

Past and Present

Humans have always been a curious species and have spent lots of time trying to figure out the mysteries of the universe. From launching thousands of satellites to space to landing a man on the moon, space exploration has continuously advanced through time. In the past, space agencies from around the world have completed various missions to space to explore different stars and planets such as the Moon and Mars. Humans continue to explore as they did in the past and now once again there is an increasing interest in space exploration.

In the past few years, there has been an increasing interest in searching for possible planets for humans to survive on. This has led to increased funding for research on planets like Mars. Mars is one of Earth’s closest neighbouring planets. Mars was first discovered in 1609, by Galileo Galilei who first saw it through a telescope. Since then, many satellites, probes and rovers have been sent to Mars to examine its surface and look for water and other signs that can help sustain life. Mars falls within the habitable zone in our solar system known as the Goldilocks zone. The Goldilocks zone is a zone around a star which is at a distance with a suitable temperature allowing liquid water to exist. The zone is shown in the image below. Research has shown signs of water on Mars but due to its thin atmosphere, much of it has frozen or evaporated. There are methods which are possible to artificially warm-up Mars according to space companies such as SpaceX. Mars also has 38% gravity of Earth which researchers suggest humans can adapt to. Moreover, a day on Mars is about 24 hrs and 37 min which is very similar to a day on Earth. While many factors determine the ability of a planet to support life, these factors have led scientists to consider Mars as a possible candidate for supporting human life.

Credit: Cornell University
Found on NASA astrobiology website

 

The Future

Due to the amount of radiation on Mars surface humans cannot walk around unprotected. The thin atmosphere on Mars would have to be shielded from solar winds and life on Mars would be mostly spent living in capsules. Many researchers and space organizations believe that Mars can be transformed into a fully habitable planet like Earth over time. Many organizations and companies like NASA and SpaceX are expanding Mars research and looking for ways to fix these problems.  SpaceX has a plan to send its first crew to Mars in the year 2024 while NASA has a more long term plan which includes sending crews to the Moon first as a preparation for larger missions to Mars. The video below shows how life on Mars would initially look like. As more research is done, humans will become one step closer to understanding ways of colonizing other planets such as Mars.

 

– Sandeep Singh

“Super Black” Camouflage in the Deep Sea

The ongoing battle between predator and prey has led to unique adaptations, one of these is camouflage. Camouflage is static used by organisms to disguise their appearance. This can clearly be seen in the cuttlefish who can change the color of its skin to match the color of its background or arctic foxes whose fur is white during the winter and brown throughout the summer. Recently a group of researchers have been looking at camouflage in deep sea organisms. Previously deep sea organisms were observed having translucent or reflective bodies. This can provide camouflage due to the extreme low light level at these depths. In the deep ocean a translucent organism can reflect as little as 0.4% of light making them almost indistinguishable from the dark surroundings. Alternatively reflective fish has so little light to reflect at these depths that it too appears to blend the background color. However these were not the adaptation that these researchers were interested in, instead they examined what they call “super black” organisms. A “super black” organism is one which reflects less than 0.5% of the light they interact with. This led the researchers to question why these organisms have this adaptation and how these organisms reflect so little light. 

The simple answer to why these organisms reflect so little light is that we don’t really know. The researchers studied 16 different fish species across seven different orders of fish. This means that each organism probably has a unique reason for this adaptation. One reason the researchers think this adaptation could be helpful, is due to the high use of bioluminescence in this environment. Due to the low light levels in these environments organisms use bioluminescence in multiple ways, such as finding a mate or food. However for a reflective fish, nearby bioluminescence can easily expose their location. Furthermore even a translucent organism who has very little interaction with light, can still be detected by some deep sea organisms in the presence of bioluminescence. From this the researchers think that the “super black” adaptation may help deep sea organisms remain undetected in the presence of bioluminescence. One of the fish that pointed the researchers in this direction was a bait fish, this is a fish like the anglerfish which uses bioluminescence to attract prey. The researchers hypothesize that a fish like this could use its “super black” adaptation in order for its body to not be detected by its prey while it’s using bioluminescence, however more research needs to be done to answer why these organisms have this “super black” adaptation.

Idiacanthus antrostomus a baitfish with “super black” skin by K. Osborn/Smithsonian National Museum of Natural History

These organisms achieve “super black” through a pigment on their skin called melanin. The melanin is organized in an organelle called the melanosomes which can absorb up to 99.95% of light. The fish considered “super black” had skin which contained layers of these melanosomes as shown below. This allows light which is reflected from one melanosome to be absorbed by a different melanosome. This system for achieving such a high level of light absorption is relatively simpler than those found in birds or butterflies who are also considered “super black.” Due to this the researchers are hopeful that it could be an easier way of producing a system with a high level of light absorption for use in solar power generators, radiometers, industrial baffles and telescopes.

Electron microscope image of melanosomes in deep sea fish, the melanosomes are indicated by the red arrow, while a skin membrane is indicated by the blue arrow. Image taken by K. Osborn/Smithsonian National Museum of Natural History and A.L. Davis et. al./Current Biology 2020

 

Self-Driving Car: Latest Technologies (Revised)

The Dream Has Become a Reality

Self-driving cars might seem like an imaginary machine for people who are not very familiar with the term, but they are widespread soon. According to Grand View Research, the global self‑driving cars’ market size is expected to expand at a compound annual growth rate of 63.1% from 2021 to 2030. They are a key innovation and have high growth potential in the automobile industry.

Weymo

While the market of self-driving cars is expanding, there is one company that attracts the most attention to itself now in the automobile industry, which is Weymo. Weymo itself does not produce cars, but it develops AI software for self-driving cars. Their autonomous driving technology is said to be one of the most advanced in the world.

Image: Grendelkhan/Wikimedia

Machine Learning

Waymo is using machine learning in many ways to improve its autonomous driving technology. Machine learning is a method of having a computer read data and analyze it based on an algorithm. By iteratively making a computer to learn the data of a particular case, they can discover the features and patterns in those data. Then, they apply the found features and patterns to analyze the new data.

Image: Avimanyu786/Wikimedia

Utilization and Training Of AI by Waymo

Self-driving cars need many data in various situations, but it is difficult to train them using real-world data in high-risk but infrequent situations, such as when pedestrians jump out from behind a stopped car or in a snowstorm. Thus, the cars are instead travelling billions of miles using virtual reality simulations. Waymo’s researchers have revealed that they usually drive about 25,000 cars in simulations to keep improving machine learning algorithms.

Recognition Of Objects and Surroundings

The most basic task of self-driving cars is to recognize surrounding objects. Waymo uses a neural network that imitates the mechanism of the human brain (it is essentially a machine learning model) to accurately detect traffic lights, bicycles, pedestrians, lanes, etc. in any weather condition. Weymo has recently released a video of a car understanding human gestures. The video below shows a self-driving car stopping at a crossing with a broken signal and following a police officer’s hand signal.

Source: Weymo

Predicting the movement of pedestrians and vehicles is essential to avoid accidents. In 2019, Waymo patented a system that sends data from a car sensor to a neural network to predict the position of a nearby car.

Future Prospects of Self-Driving Cars and Issues

Though the technologies of self-driving cars are rapidly developing, there are still many issues that cannot be solved by technology alone. For example, in regards to Tesla car fatal accident that occurred in 2108, issues such as who should take responsibility and driver’s moral hazard have been pointed out. It won’t be long before self-driving cars will be part of people’s daily lives if these problems are solved.

 

ーShunya Sunami

“Signs of Life Found in Space?!?” – A Media Misnomer

Whenever I find myself reading through the science headlines of any mainstream news website, it is not uncommon to find an article with a clickbait title like “Signs of Life Found on Venus”. To the average reader, this seems like huge news, as it’s not every day that we discover alien life in our own solar system. But, like many headlines today, this is far from the truth that this scientific discovery is presenting.

An example of not-so-true headlines

An example of a clickbait headline from scitechdaily.com regarding life on Venus

What was actually discovered?

While it is true that recently a team of astronomers from around the globe announced the discovery of a rare molecule called phosphine in the clouds of Venus, this does not mean that life as we know it was found on Venus. This recent discovery showed that in the higher atmosphere of Venus, there were detections of molecules of phosphine at a rate of twenty phosphine molecules per billion molecules in the atmosphere. The reason this is interesting is that phosphine (PH3) is mainly produced on earth by chemical reductions of phosphate in organic matter such as bacteria that have died and are decaying.

This discovery showed that somehow, there are chemical signs of decaying organic matter on Venus despite its harsh acidic atmosphere and high planetary temperatures. Here is a scientist from the Royal Astronomical Society detailing the findings in full:

YouTube Preview Image

What is the media getting wrong?

Even though scientists are extremely excited about this discovery, it’s not because they have definitively found life outside of our planet. Rather, scientists are excited about this discovery because it raises a lot of questions about how phosphine got to where it is on Venus. This is an important scientific discovery because it opens doors to new areas of research that can be done on determining where the phosphine in Venus’ atmosphere comes from.

The fact that there is this huge piece of evidence that goes against what we know regarding phosphine and conditions for life to exist is a huge stepping stone towards learning more about both subjects.

Photo of Venus. Photo Credit: NASA/JPL

So what other explanations are there?

There are lots of alternative explanations for where this phosphine could have come from besides organic life. For example, it’s possible that there is some unknown chemical process occurring on Venus that is creating these phosphine molecules. But even after extensive scientific review, astronomers are still unsure of where these molecules are coming from. So, unfortunately, we will not know the truth about these molecules’ origin until we go out and discover it for ourselves.

Until we have real, solid, observable evidence that the phosphine molecules we are discovering in our solar system (along with any other biomarkers) are actually being created by alien life forms, don’t believe any headlines you see reading “Signs of Life Found In Space!”, as they really should read “Potential Biomarker Molecules Found in the Upper Atmosphere of Venus”!

  • Written by Ryan Reiss, Nov. 2020

COVID-19 and alcohol use: Why managing your alcohol consumption is crucial during the COVID-19 pandemic

COVID-19 has taken the world by storm. It has forced countries to shut down and people to self-isolate. While self-isolation and shutdowns are effective methods of preventing the spread of COVID-19, they come with collateral effects. A recent report published by the Canadian Centre on Substance Use and Addiction (CCSA) found that 25% of Canadians (aged 35-54) are drinking more while at home during the COVID-19 pandemic due to boredom, stress, and/or a lack of regularity in their schedules.

Image: Nanos/CCSA – This shows the reasons people are drinking more during COVID-19, this is important as it gives us invaluable information on what is contributing to the rise in alcohol intake.

A similar increase was seen in Australia, where there was an increase of around 30% in alcohol bought compared to last year. Alcohol is used as a way to relax by many, but it can harbor many negative effects in a time such as the COVID-19 pandemic.

The World Health Organization (WHO) has recently debunked the misconception that drinking alcohol can provide you extra immunity against the Coronavirus.

Image: WHO/Europe/Twitter  – The image above shows the message the World Health Organization sent out on Twitter to explain to the public that alcohol does not help your body fight COVID-19.

In contrast, a study concluded that alcohol might increase vulnerability to the Coronavirus. Alcohol consumption at levels such as 5 – 6 drinks at a time or having more than 14 drinks in a week has a role in disrupting one’s immune system. It can do so by disrupting physical, chemical, and cellular responses that are a part of the body’s first line of defense. Furthermore, alcohol can impair t-cell recruitment which lowers the number of white blood cells that can destroy the invaders, which weakens the immune system. This is dangerous, especially with COVID-19 looming, as a weaker immune system leaves you more susceptible to infections.

In this video, Dr. Charity Baker states “Alcohol isn’t healthy and never was”, which explains that alcohol use is not a way to fight COVID-19

Alcohol can not only damage the immune system, but there is also a growing concern that the sudden increase in alcohol usage during the pandemic may result in greater cases of alcoholism. Alcoholism can lead to many health problems ranging from mental disorders to liver/heart problems. In a family setting, this can result in domestic violence and child negligence, contributing to the development of many other long-term problems such as Post-Traumatic Stress Disorder and depression.

The future is dependent on what actions people decide to take now. The increase in alcohol drinking can become a problem if not addressed properly. The way to prevent an increase in alcoholism and all of the consequential problems attached to it is to lower your alcohol intake to a low-to-moderate amount (maximum of 1 -2 drinks a day).  The effects of COVID-19 are here to stay for many years to come and if alcohol consumption is not controlled during this time, it will only add to the persistence of these effects.

– Harman Sandhu

Artificial Intelligence: What, if anything, do brains and computer vision have in common?

Did you know that artificial neural networks (which are computing systems) can process information in a similar way compared to the human brain? According to a study this month from the journal Current Biology, “artificial neural networks can perceive 3D objects in the same first-glance way our brains do”.

A diagram depicting the basic structure of an artificial neural network. Source: Wikimedia Commons

That being said, after all humans do use organic brains to model artificial neural networks. Therefore, it should not be groundbreaking news that such networks somewhat resemble natural brains. Well, at least not until they become similar in ways which we have not designed them to be.

Let’s start with explaining more about the human brain. It processes visual information through several sections, with each part combining different perceived properties of an object to create a full image. Scientifically, this is how we view and perceive objects.

However, the aforementioned study shows how neurons in the V4 area (the first section in the brain’s object vision) also represent 3D shape fragments, and not only 2D shapes as previously thought. According to TechXplore, this is a significant finding because it is opposite to the general scientific consensus for the last 40 years.

During this same research, scientists noticed something they did not expect: the same 3D patterns the brain utilizes to see are also used in an artificial neural network. As stated by Futurism, this was noticed upon looking further into the AlexNet algorithm (an advanced computer vision network).

Ed Connor, a Johns Hopkins University neuroscientist, discovered very similar natural & artificial neuron image response patterns in AlexNet’s layer 3, and the V4 section in the brain. He was “surprised to see strong, clear signals for 3D shape” as soon as the brain’s V4 section. However, it was even more shocking that the AlexNet algorithm also had such signals for 3D shapes. That’s because the algorithm had been solely designed to convert 2D photographs to object labels.

This shows how visual information is transferred through different sections of the human brain. Source: Wikimedia Commons

According to Connor, artificial networks are currently the most promising models for learning about the human brain. On the flip side, the brain contains the most reliable source of strategies for bringing artificial intelligence closer to natural intelligence.

This latest research hints at the new standard for artificial intelligence research. Rather than taking the traditional method of utilizing information known about the brain to build computers, researchers now take a reverse approach.

This image depicts how there are growing similarities between natural and artificial intelligence. Source: Pxfuel

That is, they rely on computers to discover how our brains function. It is quite interesting, yet strange, to find out that artificial computer vision systems can resemble the human brain’s perception in unintended ways.

– Jacqueline (Wai Ting) Chan

COVID-19: Could the common cold help protect you?

A woman blowing her nose while sick with the common cold. Image: Mojca J / Pixabay

The common cold is never any fun to deal with, however a past cold might also provide you with some protection from COVID-19, a recent study suggests by the University of Rochester Medical Center.

Research from infectious disease experts at the University of Rochester Medical Center have also suggested that people who have had COVID-19 may be immune to it for a long time, possibly even for the rest of their lives.

What’s the foundation?

Even though the virus that causes COVID-19 (SARS-CoV-2) is relatively new, it falls under a category of beta coronaviruses that cause about 15–20% of common colds.

Depiction of a coronavirus with crown-like spikes leading to where it got it’s name. Image: Daniel Roberts / Pixabay

When you catch a cold, your body fights against the virus through your immune system. While your body does this, the immune system “remembers” the virus for the future. This is so the next time that virus enters your system, your immune system will be able to fight back even faster.

Video:  How immunity defenders work against COVID-19

The evidence

The study is the first to focus on memory B cells — immune cells that can last for decades. Since memory B cells can survive for decades, they could protect COVID-19 survivors from future infections for a long time — but further research is needed to confirm this.

Blood samples being analyzed in the lab. Image: Ahmad Ardity / Pixabay

The researchers compared blood samples from 26 people who were recovering from mild to moderate COVID-19 symptoms and 21 healthy people who had their samples collected 6–10 years ago — long before they could be exposed to COVID-19.

The study found that B cells from the immune system that attacked previous cold-causing coronaviruses seemed to also recognize the coronavirus (SARS-CoV-2) that causes COVID-19 as a result of memory B cells being activated.

“When we looked at blood samples from people who were recovering from COVID-19, it looked like many of them had a pre-existing pool of memory B cells that could recognize SARS-CoV-2 and rapidly produce antibodies that could attack it,” said study authour Mark Sangster.

The study authors believe this could mean that anyone who has ever been infected by a common coronavirus — which is almost everyone — may have some amount of immunity to COVID-19. This means that if you were to be infected with COVID-19, the severity of your symptoms would be lower compared to those without pre-existing memory B cells for a common coronavirus.

What’s for the future?

The researchers will “need to see if having this pool of pre-existing memory B cells correlates with milder symptoms and shorter disease course — or if it helps boost the effectiveness of COVID-19 vaccines,” said study co-authour David Topham.

What can you do now?

While a past common cold may help lessen the symptoms of COVID-19, it does not mean that you should be trying to catch a cold. Instead, health officials advise for people to get their flu shots this season to reduce serious health complications and an additional burden on the health care system.

 

– Amrit Jagpal