
Critically-Endangered Red Ruffed Lemur Triplets Born at Wild Georgia Theme Park

New Solar Method Turns Ocean Into Drinking Water, While Extracting Valuable Lithium Without Waste


How waves, ponds and green algae are accelerating sea ice melt in Antarctica
Picture sea ice in your mind. You probably imagine brilliant white, snow-covered floes floating on the surface of the ocean, home to penguins in the south of the globe or polar bears in the north.
But our new research shows Antarctic sea ice can turn into rafts of rotting floes (the free-floating pieces of ice) or an icy green slush when it interacts with waves in the stormiest ocean on the planet.
We now know the wave-driven processes that cause the surface of the sea ice to melt are a “missing link” in understanding what’s driving the increasing Antarctic sea ice melt each summer.
These processes can dramatically increase the rate the ice melts, with major implications for the global climate and Antarctic marine ecosystems.
Our planetary heartbeat
Each year, the sea ice that hugs the coast of Antarctica expands from 3 million square kilometres in summer to 19 million square kilometres in winter, stretching far north into the Southern Ocean. As the sun rises and the temperatures increase, it retreats again.
This remarkable seasonal change is like a heartbeat within our planet’s climate system, moderating global temperatures, driving ocean circulation and forming a unique habitat for a plethora of living organisms, all adapted to its seasonal rhythms.
The annual summer sea ice melt is particularly remarkable because it occurs over only three months. But even the most sophisticated climate models underestimate the rapid rate of sea ice retreat each summer.
How do waves melt sea ice?
Until now, the waves travelling from the ice-free ocean into the area covered in sea ice had only been studied for their role in breaking up ice floes. We knew these smaller floes were prone to melting around their sides and bottoms as the ocean was heated by the sun as summer progressed.
But this is not the full story.
We now know waves also flood over ice floes, washing away the bright snow cover that shields the underlying ice from sunlight and creating ponds of seawater on the floe surfaces.
Due to their reduced brightness, the snow-free ice and these “wave ponds” absorb substantially more solar heat than snow-covered ice, and this melts the ice from the top down. Moreover, the snow-free ice and wave ponds are oases in which algae thrive, turning the ice and ponds green and absorbing even more heat from the sun.
The waves also pulverise the floes into small fragments and slush. Under the right conditions, the combination of wave flooding, algal greening and pulverisation turns the sea ice cover into a slushy mixture, resembling a green soup.
We estimate that flooding, ponding and pulverisation can increase summer-time ice thinning by over 4 centimetres per day. Algal greening can add an additional 1 centimetre of thinning per day. These are extraordinary accelerators of ice melt, considering that most Antarctic sea ice is less than 1 metre thick at the end of winter.
Waves are also generated deep within the Antarctic sea-ice region by winds blowing over large openings in the ice cover. In this way, wave melt processes eat away at the ice cover from within, as well as from the edge throughout summer.
Feedbacks could trigger further melt
Our ice melt estimates are significant, yet they are likely underestimates. They do not account for amplifications to melting caused by so-called “positive feedbacks”.
For example, the ice darkening caused by waves removing the snow, ponding and pulverisation substantially increases the amount of sunlight absorbed by the ice. This causes additional surface and interior melting, which further reduces the ice brightness. And this causes more vertical melting, and so on, in an amplifying cycle.
We propose that this positive feedback is strengthened by algal greening that further darkens the ice, leading to further absorption of sunlight and melting.
Exactly how much these feedbacks would cause further ice melt is tricky to quantify, so we have left this as an exciting future research challenge.
Ponds at both poles
The Antarctic “wave ponds” we have observed are the seawater equivalent of “melt ponds”. These form extensively across Arctic sea ice in summer from pooling snow meltwater.
These freshwater melt ponds have been intensively studied and integrated into climate models, because of their important role in the rapid decline in the coverage and thickness of Arctic sea ice over recent decades.
Unlike melt ponds, seawater wave ponds occur year-round. Although they only occur in regions where sea ice interacts with ocean waves, this encompasses a large proportion of Antarctic sea ice over the course of a year.
The future of Antarctic sea ice
The effects of wave melt, greening and associated feedbacks are likely to intensify on sea ice around Antarctica over coming decades. Climate change is predicted to increase wind speeds and wave heights across the polar Southern Ocean.
This disruption of the annual sea ice cycle and further sea ice loss has serious consequences for global climate and marine ecosystems.
We need further observations using autonomous camera systems on icebreakers and modelling research to better understand these wave processes and their overall influence on Antarctica’s sea ice cycle.
These advances are vital to understanding the causes of recent dramatic sea-ice losses around Antarctica, and promise vital insights about the future of the icy south and our Earth system.![]()
Luke Bennetts, Professor of Applied Mathematics, The University of Melbourne; Bonnie Light, Physicist, University of Washington; Petteri Uotila, Professor, University of Helsinki; Philip Reid, Scientist, Australian Bureau of Meteorology, and Rob Massom, Leader, Sea Ice Section, Antarctic Climate Program, Australian Antarctic Division
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Staggering Results Show HIV-Transmission Reduced 100% with Twice-Yearly Lenacapavir Injection

World’s first AI‑designed vaccine explained
Neil Mabbott, University of Edinburgh
Researchers at the University of Cambridge have developed what they describe as a fundamentally new type of vaccine using artificial intelligence (AI). The vaccine’s key component was designed entirely by AI and has now been tested in people for the first time.
The goal is ambitious: a single vaccine that works not just against all known human coronavirus variants, but against related bat viruses that could jump from animals to humans and cause future pandemics.
Traditional vaccines train our immune system to recognise one specific virus. The problem is that viruses mutate. When they change enough, the vaccine stops working, which is why we need a new flu shot every year and why COVID vaccines have been updated repeatedly since 2021.
AI offers a way around this. By analysing genetic data from thousands of related viruses, it can identify the parts that stay the same across different strains and that are unlikely to change over time. Target those stable features, and you have a vaccine that should work against the whole family, not just the strain you started with.
This is exactly what the Cambridge team did. They used AI to scan viruses from the sarbecovirus family, which includes the viruses that cause both SARS and COVID, as well as a range of animal coronaviruses – looking for shared features that evolution has left largely untouched. Those features became the basis of the vaccine.
DNA vaccines
While many people are familiar with the mRNA shots used during the pandemic, this new vaccine uses DNA. DNA vaccines are generally more stable than mRNA vaccines, making them easier to store and transport. A significant advantage in lower-income countries where “cold-chain” infrastructure is limited.
They can also be administered without needles. A high-pressure stream of liquid delivers the vaccine through the skin, making administration less painful and easier to scale up during an outbreak.
Could it protect against future pandemics?
These practical advantages matter most if the vaccine itself can do something no existing jab can: protect against viruses we haven’t encountered yet.
Broad-spectrum vaccines could change the way the world responds to emerging infectious diseases. By offering much wider protection than traditional vaccines, they could provide rapid immunity against new and emerging viral threats. This would equip public health officials with tools to stop future outbreaks in their tracks before they have a chance to turn into global pandemics.
They could also transform our approach to more familiar diseases. Influenza is a prime target because it exists in many different strains and evolves so rapidly. Scientists have to predict which strains will dominate each flu season, and they guess wrong, vaccine effectiveness can suffer. A universal flu vaccine that targets features shared across multiple strains could eventually end the annual race to keep up with the virus.
And the Ebola virus shows why this matters right now. The recent outbreak in the Democratic Republic of the Congo and Uganda is driven by the Bundibugyo strain, which bypasses existing vaccines. While researchers rush to create a new vaccine specifically for this strain, local communities remain at high risk. A broad-spectrum vaccine designed to cover an entire virus family could transform that picture.
What the trial found
This is the first human trial of an AI-designed vaccine. The results showed that this DNA vaccine was able to stimulate the immune system to produce antibodies that can recognise different types of sarbecoviruses. The technology was found to be safe and well tolerated.
This is an exciting advance because it demonstrates how AI has the potential to design variant-proof vaccines against future pandemic threats. The needle-free delivery system could also make the vaccine easier to administer and distribute worldwide.
However, there is more work to do. Although the results in this study are encouraging, the immune responses following vaccination were modest. It was also uncertain how long the protection lasts and whether further boosters will be required. Larger trials are also needed to determine whether the vaccine can prevent or reduce virus infections in the real world.
A universal vaccine remains a few years away. And any new vaccine must still pass larger trials to prove it is safe, effective and provides lasting protection. But this study shows the goal is getting closer – and AI may help us get there faster.![]()
Neil Mabbott, Personal Chair of Immunopathology, University of Edinburgh
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Papua New Guinea Sets Up Protected Ocean the Size of UK–Over 77,000 Square Miles

All-Electric Truck Completes Milestone Canberra-to-Sydney Haul, Cutting 84% in Fuel Costs

3 Teens Win Global Earth Prize for Inventing Tamarind Powder That Easily Removes Microplastics

UN report warns AI could soon use 3% of world’s electricity and more water than we need to drink
Amanda Turnbull-McRae, University of Waikato
One argument often used to quell concerns about the rising energy and resource demand of data centres is that artificial intelligence (AI) models will need less in the future as they improve and become more efficient.
But this seemingly logical thinking is a trap, according to a new United Nations report that quantifies the environmental costs of AI.
The report estimates that by 2030, AI’s energy use could double to consume 3% of the world’s electricity, produce emissions to equal the UK and deplete more water for cooling than the annual drinking water need of the global population.
It also anticipates the use of AI will follow an economic principle known as the “Jevons paradox”, which predicts that when technological improvements increase the efficiency of a resource, it leads to a rise, rather than a fall, in the total consumption of that resource.
The paradox is named after economist William Stanley Jevons who observed this effect with the use of coal in 19th-century England. Efficiency gains did not reduce overall consumption. Instead, the lower costs resulted in expanded use and higher overall demand.
As AI models become cheaper and more attractive, the report expects this to encourage new uses and higher volumes of use, eroding and possibly erasing any savings from efficiency advances.
To avoid falling into this trap, it lays out a roadmap for responsible AI use based on guiding principles of transparency, efficiency by design, equity and justice, lifecycle responsibility, global cooperation and sustainable use.
The scale of the problem
Last year, data centres already consumed as much electricity as Saudi Arabia, which ranks as the world’s 11th largest electricity consumer.
If electricity use doubles as projected by 2030, the associated carbon footprint would require 6.7 billion trees grown over ten years to offset this demand.
Data centres would also require 9.3 trillion litres of water and land nearly ten times the size of Mexico City.
Beyond resource use, the report also underscores the structural inequity at the heart of the AI boom, with only 32 nations hosting AI-specific cloud infrastructure and 90% of that capacity located in the US and China.
It warns of a widening digital divide between nations that build and control AI systems and those that consume them, with the latter often bearing a disproportionate environmental burden caused by mineral extraction and e-waste.
Responsible AI use
Two main forces shape AI’s operational footprint: how much we use it and how we use it.
This involves all tasks AI models perform, from text and code generation to image and video. Each of these tasks requires different levels of computational effort.
The model choice also matters as each AI system performs these task with distinct energy and environmental costs.
The report argues responsible AI requires full value-chain governance, from mineral sourcing to recycling and safe disposal.
It calls for a twinning of capability and environmental stewardship – thinking about both what AI can do for us and the protection of the natural environment.
This would mean making environmental disclosures a routine part of AI development, at both the model and task level, and incorporating projected AI demand in climate and energy planning.
Responsible AI is crucial as countries are promoting and adopting AI across government and the public sector.
In Aotearoa New Zealand, the government has launched a national AI strategy and a public service AI framework.
While the framework was informed by the OECD’s values-based AI principles, including inclusive and sustainable development, there is no requirement for environmental disclosures and no regulator compiling energy use or emissions.
Likewise in Australia, improving public services is part of the national AI plan. For example, the National Film and Sound Archive of Australia has created Bowerbird, a machine learning-enabled mass audio and video transcription engine, to document material. The Department of Veteran’s Affairs has developed a proof-of-concept tool to see whether AI can help speed up the processing of claims.
Both countries take a deliberate “light touch” and principles-based regulatory approach to AI. But this approach risks overlooking the growing environmental cost of AI that can’t be solved by improving it.
The natural environment is foundational to the economy, culture and wellbeing. It should be at the centre of our thinking. It’s time to rethink the AI innovation playbook and shift focus toward a sustainable tech future.![]()
Amanda Turnbull-McRae, Senior Lecturer in Law, University of Waikato
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Scientist Discovers New Species of Wildflower That Only Grows in New Jersey


70% Drop in Levels of Forever Chemicals Observed in Seabird Eggs Tracks Regulatory Success
Northern gannets on Bonaventure Island – credit, CC 3.0. BY-SA BodokleckselWhat ‘biodegradable’ packaging really means – and 3 key questions to ask about it
“Biodegradable” has become one of the most reassuring words in modern packaging. It appears on coffee cups, shopping bags and food containers, implying a promise: this product is better for the environment because nature will eventually take care of it.
However, biodegradability is not a simple yes-or-no property. It exists in shades, which we can measure.
Biodegradation is a complex process. Microbes and molecules present in an environment such as soil attack a material and digest it, much like what happens to food in our gut.
A material is typically defined as biodegradable if it is digested “well” by the environment in which it is placed. The more mass the material loses during digestion, and the more carbon dioxide it produces, the more biodegradable it is.
Different environments digest materials in different ways. Temperature, sunlight, oxygen, moisture and microbial diversity all influence how quickly materials degrade.
Even the most rigorous testing cannot fully capture the complexity of the real world – but it can help guide our choices.
Biodegradability is relative
In the lab we can simulate environments such as landfill, home compost bins and industrial compost facilities. If we understand in which settings a material breaks down better, we can tell the consumer how to best dispose of it and prevent pollution and other issues.
A material that decomposes quickly in an industrial composting facility may persist for years in the ocean or landfill.
Industrial composting systems maintain elevated temperatures, controlled aeration and consistent moisture. Hot, moist and oxygen-rich conditions generally aid biodegradation but they are not easy to come by in a backyard compost bin.
Home compost systems are typically cooler and more variable. The result: a material certified for industrial composting may not break down effectively at home.
Take polylactic acid (PLA), a biodegradable material generally considered to be a greener alternative to common plastics (like PET). PLA can biodegrade effectively in an industrial composting system. With temperatures above 60°C and controlled moisture, oxygen and microbial activity, microbes can convert PLA into carbon dioxide, water and biomass in just a few days.
Outside these conditions, the story changes. If PLA ends up in landfill, decomposition can be slow because oxygen is limited. In rivers or marine environments, it may persist for years and act as a raft for “alien” species. In your compost bin or worm farm it might disappear in a few months.
Time for standards
There are many ways to measure biodegradability. One common series of tests, OECD 301 assesses “ready biodegradability” in different environments as a material’s ability to biodegrade around 60% within 28 days under controlled conditions.
Industrially compostable materials are tested under very specific conditions. Standards such as EN 13432, used in Europe, assess whether packaging can successfully break down in industrial composting facilities.
To meet the standard, at least 90% of the material must biodegrade into carbon dioxide, water and biomass within six months. These tests typically involve elevated temperatures, controlled aeration, and moisture.
Most biodegradable plastic materials do not disappear cleanly. Instead, they fragment into progressively smaller particles before fully breaking down. During this period, the fragments will continue interacting with organisms and ecosystems.
Compost bins too can get indigestion
Biodegradability standards are helpful for consumers and waste regulators. Nevertheless, they are limited. They often do not test how much of any given material a specific disposal system can sustain at any one time.
This is an important parameter to take into account. Take food waste. When large quantities of food lie in landfill without oxygen, they generate methane, a greenhouse gas far more potent than carbon dioxide over short timescales.
Other biodegradable materials are no different and can throw out the balance of an ecosystem such as your compost bin, if added in excessive quantities.
Introducing certain materials to a compost bin might also cause certain microbes to thrive and others to suffer, sometimes with unintended consequences, such as making your compost bin smell bad.
In the future, biodegradability tests will likely be paired with ecotoxicity assessments, to help us understand whether a material breaks down safely and without generating harmful byproducts or microbial imbalances.
What can we do?
Few of us have an industrial composting facility nearby to take care of biodegradable materials. Industrially compostable products such as coffee cups often end up sent to landfill alongside conventional waste.
This does not mean individuals are powerless or that biodegradable materials are inherently bad.
You can start by checking local council guidance and choosing products certified for the systems available in your area, or your compost bin.
Ask yourself:
is this product home compostable or only industrially compostable?
is there infrastructure locally that can process it?
has it been independently certified?
As for industrially compostable coffee cups, check that you can return cups to participating cafes. They should not be placed in standard recycling bins or food and organics bins as they are considered contaminants. If unsure, place them in a bin destined for landfill.
Ultimately, the most sustainable option remains a reusable washable cup.
These may seem like small actions but they help push packaging design and waste systems toward greater transparency and accountability.
Moving beyond simple labels
As consumers, we want to make educated choices about their purchases and how they can be disposed of.
For now, we have simple labels. In the future, we will hopefully have more complete information about how materials degrade in industrial composting facilities, home compost bins, soil, freshwater, sea water and landfill sites.
Biodegradable materials offer clear advantages over highly persistent materials, but the term “biodegradable” should not be mistaken for environmentally harmless.
Let’s just remember that a biodegradable material released in the wrong place, at the wrong scale, or under the wrong conditions may behave not very differently from a non-biodegradable material.
Understanding the shades of biodegradability moves the conversation beyond simplistic labels. Nature can break many things down, eventually. The more important question is whether it can do so without getting indigestion.![]()
Martin Zaki, Associate Research Fellow in Biomaterials, Deakin University and Alessandra Sutti, Associate Professor, Institute for Frontier Materials, Deakin University
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Sampling DNA in Seawater Can Reveal the Health of Dolphin Populations, in First for Conservation
SWNSClimate change‑related heat increases the risk of premature birth in 13 countries – new study
Dominic Royé, Consejo Superior de Investigaciones Científicas (CSIC); Ana M Vicedo-Cabrera, University of Bern; Aurelio Tobias, Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA - CSIC); Carmen Íñiguez, Universitat de València, and Coral Salvador, University of Bern
Picture a sweltering summer’s day. Now imagine enduring the heat while eight months pregnant. Uncomfortable, to say the absolute least.
But in pregnancy, heat is more than just a nuisance, as for many women it can trigger early labour. A premature baby – meaning one born before 37 weeks of gestation – faces a significantly higher risk of mortality, as well as health complications that can affect them for the rest of their lives.
Decades of research has documented the link between exposure to heat and preterm births. However, most studies have been limited to a single city or country, using different methods that yielded results which were difficult to compare.
So how many premature births are actually caused by heat in different parts of the world? Are all pregnant women equally vulnerable? Our new study, published in Environment International, provides the most comprehensive answers to these questions to date.
13 countries, 36 million births
We analysed 36.6 million births that took place during the summer in 250 towns and cities, across 13 countries (Australia, Brazil, Canada, Chile, Ecuador, Estonia, Israel, Italy, Japan, Paraguay, Spain, Switzerland and the United States) between 1979 and 2019. This is the most extensive multi-site analysis conducted on this topic to date.
To estimate the relationship between temperature and the risk of preterm birth, we used cutting edge statistical models that allowed us to see the delayed and non-linear effects of heat exposure in the days leading up to delivery.
The findings are clear: the risk of preterm birth increases linearly as temperatures rise. On days of moderate heat, this risk increases by 2.8%. On days of extreme heat, the increase reaches 3.8%.
855 extra premature births per million
Translating these risks into specific figures provides a clearer picture of the scale of the problem. We estimate that 1.41% of all premature births occurring during the summer are attributable to heat. In absolute terms, this equates to 855 extra premature births per million births.
The magnitude is comparable to that of other well-established factors. For example, it far exceeds the contribution of maternal smoking in low and middle-income countries, and is on a par with that of malaria. And heat is already a major environmental risk factor for reproductive health.
The differences between countries are also revealing. Paraguay has the highest rate, with 1,347 preterm births per million, while Switzerland has the lowest, with 628. Spain falls in the upper-middle range, with 1,080 per million. This variability suggests that climate, the level of socio-economic development, and each country’s capacity to adapt significantly influence the vulnerability of pregnant women.
Not all pregnancies have the same risk
One of our study’s most significant findings suggests that heat may not affect all women equally. Young single mothers with lower levels of education who are in a vulnerable socio-economic situation may be at greater risk of heat-induced preterm birth.
Female foetuses also appear to be more susceptible than male foetuses. However, most of these subgroup analyses were not statistically significant, so further research is needed to confirm them.
There are specific mechanisms behind these differences. People who are economically disadvantaged are more likely to live in particularly hot areas due to the urban heat island effect. They are also more likely to work outdoors, and to lack access to air conditioning or other means of protection against the heat. Social inequality and climate inequality overlap, and the most vulnerable pregnant women pay the highest price.
Heat also speeds up births at term
Perhaps the most surprising finding of our research is that the effect of heat is not limited to preterm births. We have also observed a significant increase in the risk of delivery in pregnancies that would be considered clinically normal, between weeks 37 and 42. Specifically, extreme heat increases the risk of delivery in weeks 37-38 by 3.66%, and in pregnancies of 39 weeks or more by 2.97%.
This means that heat can act as a trigger for labour in foetuses that, under other circumstances, would have continued to develop normally. The most sensitive gestational window is from week 31 to week 40, spanning late preterm and early term births.
Root causes
There are many biological mechanisms at play here. Heat can raise body temperature and trigger uterine contractions. The dehydration caused by heat also disrupts the electrolyte balance and reduces blood flow to the placenta. Furthermore, heat triggers inflammatory processes and oxidative stress, which can compromise foetal development and accelerate cervical ripening.
Pregnant women are particularly vulnerable because their bodies generate more heat than usual due to foetal growth, while also having a reduced ability to dissipate that heat because of weight gain.
Global warming
These findings are particularly worrying in light of climate change. Over the coming decades, heatwaves will become more frequent, more intense, and will last longer. If we fail to act, the burden of preterm births attributable to high temperatures will only increase, undermining decades of progress in neonatal and child health.
A proper response requires action on several fronts. In the clinical setting, health systems must incorporate heat as a risk factor in antenatal care, particularly for socially vulnerable women. In the urban sphere, it is urgent to develop adaptation strategies – green spaces, climate shelters, early warning systems – that protect pregnant women during episodes of extreme heat. And at the policy level, these findings must be translated into ambitious emissions reduction targets.
Extreme heat is no longer just a matter of comfort. It is a question of public health, social equity and climate justice. And pregnant women are on the front line.![]()
Dominic Royé, Investigador Ramon y Cajal, Consejo Superior de Investigaciones Científicas (CSIC); Ana M Vicedo-Cabrera, Head Climate Change & Health research group, University of Bern; Aurelio Tobias, Associate professor, Instituto de Diagnóstico Ambiental y Estudios del Agua (IDAEA - CSIC); Carmen Íñiguez, Profesora en el Departamento de Estadística e Investigación Operativa, Universitat de València, and Coral Salvador, Senior Research Assistant, University of Bern
This article is republished from The Conversation under a Creative Commons license. Read the original article.
First video of immune cells eating live skin cancer in real time
Macrophages (green) engulfing melanoma cells (purple). Keith et al. / Garvan Institute, CC BY-SA
Yuki Keith, Garvan Institute and Tri Phan, Garvan InstituteFor the past 15 years or so, a class of drugs called immune checkpoint inhibitors have been used to treat melanoma – the most dangerous kind of skin cancer.
For many patients, they produce remarkable results. For others, they do nothing.
We still don’t really know why. But in new research published in the Journal of Experimental Medicine, we observed immune cells called macrophages attacking melanoma cells in real time – which may offer clues about how we can make those therapies work for all patients, not just some.
Tumours, hot and cold
One of us (Yuki) treated patients with melanoma in Japan as a dermatologist. The other (Tri Phan) runs a lab at the Garvan Institute in Sydney, where his team specialises in observing the cells of the immune system in real time.
When Yuki wanted to understand why immune checkpoint inhibitors were failing for many patients, she joined Tri Phan’s lab to continue her research.
The treatment fails in what oncologists call “cold” tumours, where the cancer’s environment actively prevents a kind of immune cell called a T cell attacking it. One of our lab’s aims is trying to work out how to make the tumours “hot”, allowing T cells to penetrate and destroy the cancer cells.
Our new findings suggest a different kind of immune cell, called macrophages, may hold the key.
Macrophages (green) engulfing melanoma cells (purple). Yuki Keith, CC BYThe housekeepers we’ve been ignoring
In 1908, Russian zoologist Ilya Mechnikov was awarded a Nobel Prize for the discovery of phagocytosis (“cell eating”) in the immune system, which is carried out by cells he called macrophages (from the Greek for “big eaters”).
These cells engulf and clear away the debris caused by tissue damage and cell death. They are often regarded as the body’s silent, no-fuss housekeepers.
However, their role in cancer has often been overlooked. Unlike other immune cells that move through the blood and patrol the whole body, macrophages are “tissue-resident” and stay in one place.
A microscopic view of a melanoma tumour growing in the skin shows CD169 macrophages in green and yellow forming a biological boundary wall around the tumour. Keith et al. / Garvan Institute, CC BYEarlier studies of the role of macrophages in cancer assumed these housekeepers were all the same. But when we looked closely in the skin, it became clear that there were many different kinds of macrophages living in different layers.
One particular kind of macrophages (recognised by a protein called CD169) lives in a deeper part of the skin, called the hypodermis.
We found that these macrophages arranged themselves around the edges of a melanoma tumour, as if they were trying to wall it off. When we depleted the macrophages, the melanomas grew bigger, suggesting they were constraining the growth of the tumours.
Watching cancer cells being eaten alive
To understand what these CD169-positive macrophages were actually doing, we used an advanced imaging technique called intravital two-photon microscopy. This allows us to watch biological processes unfold in living tissue in real time.
What we saw was surprising: the macrophages were “nibbling” and actively engulfing live melanoma cells. While we had seen macrophages eat dead cells in our lab before, we had never seen them eat a live melanoma cell in a model organism.
What was even more surprising was that this immune attack was happening without the need for T cells, or antibodies made by another kind of immune cell called B cells – the immune players most commonly credited with fighting cancer.
We also confirmed this is not something that just happens in the lab. Our colleagues at the Melanoma Institute Australia analysed samples from human melanoma patients and found similar populations of CD169-expressing macrophages on the edges of the tumour, suggesting they may play a similar protective role there.
Calling in the cavalry – implications for therapies
Macrophages don’t just clear away debris. They can also alert the immune system to danger. After they have digested the debris, they can display it like a biological “red flag” to direct T cells to find and kill the cancer cells.
What makes a macrophage decide whether to silently dispose of debris without alerting the immune system, or wave the red flags to activate the immune system, is still unclear. Because the CD169-expressing macrophages are strategically positioned around the tumours, we suspect they may hold the key.
Macrophages are widespread in most solid tumours – including glioblastoma, breast cancer and many others. This is an army already in place waiting to be mobilised.
Our next step is to understand precisely how these macrophages eat live cancer cells and how they can communicate the danger to T cells, so we can harness this population with new treatments.![]()
Yuki Keith, Postdoctoral Researcher, Immunology, Garvan Institute and Tri Phan, Program Director – Precision Immunology / Laboratory Head, Garvan Institute
This article is republished from The Conversation under a Creative Commons license. Read the original article.
