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SMART researchers pioneer nanosensor for real-time iron detection in plants

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Thursday, March 6, 2025

Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with Temasek Life Sciences Laboratory (TLL) and MIT, have developed a groundbreaking near-infrared (NIR) fluorescent nanosensor capable of simultaneously detecting and differentiating between iron forms — Fe(II) and Fe(III) — in living plants. Iron is crucial for plant health, supporting photosynthesis, respiration, and enzyme function. It primarily exists in two forms: Fe(II), which is readily available for plants to absorb and use, and Fe(III), which must first be converted into Fe(II) before plants can utilize it effectively. Traditional methods only measure total iron, missing the distinction between these forms — a key factor in plant nutrition. Distinguishing between Fe(II) and Fe(III) provides insights into iron uptake efficiency, helps diagnose deficiencies or toxicities, and enables precise fertilization strategies in agriculture, reducing waste and environmental impact while improving crop productivity.The first-of-its-kind nanosensor developed by SMART researchers enables real-time, nondestructive monitoring of iron uptake, transport, and changes between its different forms — providing precise and detailed observations of iron dynamics. Its high spatial resolution allows precise localization of iron in plant tissues or subcellular compartments, enabling the measurement of even minute changes in iron levels within plants — changes that can inform how a plant handles stress and uses nutrients. Traditional detection methods are destructive, or limited to a single form of iron. This new technology enables the diagnosis of deficiencies and optimization of fertilization strategies. By identifying insufficient or excessive iron intake, adjustments can be made to enhance plant health, reduce waste, and support more sustainable agriculture. While the nanosensor was tested on spinach and bok choy, it is species-agnostic, allowing it to be applied across a diverse range of plant species without genetic modification. This capability enhances our understanding of iron dynamics in various ecological settings, providing comprehensive insights into plant health and nutrient management. As a result, it serves as a valuable tool for both fundamental plant research and agricultural applications, supporting precision nutrient management, reducing fertilizer waste, and improving crop health.“Iron is essential for plant growth and development, but monitoring its levels in plants has been a challenge. This breakthrough sensor is the first of its kind to detect both Fe(II) and Fe(III) in living plants with real-time, high-resolution imaging. With this technology, we can ensure plants receive the right amount of iron, improving crop health and agricultural sustainability,” says Duc Thinh Khong, DiSTAP research scientist and co-lead author of the paper.“In enabling non-destructive real-time tracking of iron speciation in plants, this sensor opens new avenues for understanding plant iron metabolism and the implications of different iron variations for plants. Such knowledge will help guide the development of tailored management approaches to improve crop yield and more cost-effective soil fertilization strategies,” says Grace Tan, TLL research scientist and co-lead author of the paper.The research, recently published in Nano Letters and titled, “Nanosensor for Fe(II) and Fe(III) Allowing Spatiotemporal Sensing in Planta,” builds upon SMART DiSTAP’s established expertise in plant nanobionics, leveraging the Corona Phase Molecular Recognition (CoPhMoRe) platform pioneered by the Strano Lab at SMART DiSTAP and MIT. The new nanosensor features single-walled carbon nanotubes (SWNTs) wrapped in a negatively charged fluorescent polymer, forming a helical corona phase structure that interacts differently with Fe(II) and Fe(III). Upon introduction into plant tissues and interaction with iron, the sensor emits distinct NIR fluorescence signals based on the iron type, enabling real-time tracking of iron movement and chemical changes.The CoPhMoRe technique was used to develop highly selective fluorescent responses, allowing precise detection of iron oxidation states. The NIR fluorescence of SWNTs offers superior sensitivity, selectivity, and tissue transparency while minimizing interference, making it more effective than conventional fluorescent sensors. This capability allows researchers to track iron movement and chemical changes in real time using NIR imaging. “This sensor provides a powerful tool to study plant metabolism, nutrient transport, and stress responses. It supports optimized fertilizer use, reduces costs and environmental impact, and contributes to more nutritious crops, better food security, and sustainable farming practices,” says Professor Daisuke Urano, TLL senior principal investigator, DiSTAP principal investigator, National University of Singapore adjunct assistant professor, and co-corresponding author of the paper.“This set of sensors gives us access to an important type of signalling in plants, and a critical nutrient necessary for plants to make chlorophyll. This new tool will not just help farmers to detect nutrient deficiency, but also give access to certain messages within the plant. It expands our ability to understand the plant response to its growth environment,” says Professor Michael Strano, DiSTAP co-lead principal investigator, Carbon P. Dubbs Professor of Chemical Engineering at MIT, and co-corresponding author of the paper.Beyond agriculture, this nanosensor holds promise for environmental monitoring, food safety, and health sciences, particularly in studying iron metabolism, iron deficiency, and iron-related diseases in humans and animals. Future research will focus on leveraging this nanosensor to advance fundamental plant studies on iron homeostasis, nutrient signaling, and redox dynamics. Efforts are also underway to integrate the nanosensor into automated nutrient management systems for hydroponic and soil-based farming and expand its functionality to detect other essential micronutrients. These advancements aim to enhance sustainability, precision, and efficiency in agriculture.The research is carried out by SMART, and supported by the National Research Foundation under its Campus for Research Excellence And Technological Enterprise program.

The innovation enables nondestructive iron tracking within plant tissues, helping to optimize plant nutrient management, reduce fertilizer waste, and improve crop health.

Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, in collaboration with Temasek Life Sciences Laboratory (TLL) and MIT, have developed a groundbreaking near-infrared (NIR) fluorescent nanosensor capable of simultaneously detecting and differentiating between iron forms — Fe(II) and Fe(III) — in living plants. 

Iron is crucial for plant health, supporting photosynthesis, respiration, and enzyme function. It primarily exists in two forms: Fe(II), which is readily available for plants to absorb and use, and Fe(III), which must first be converted into Fe(II) before plants can utilize it effectively. Traditional methods only measure total iron, missing the distinction between these forms — a key factor in plant nutrition. Distinguishing between Fe(II) and Fe(III) provides insights into iron uptake efficiency, helps diagnose deficiencies or toxicities, and enables precise fertilization strategies in agriculture, reducing waste and environmental impact while improving crop productivity.

The first-of-its-kind nanosensor developed by SMART researchers enables real-time, nondestructive monitoring of iron uptake, transport, and changes between its different forms — providing precise and detailed observations of iron dynamics. Its high spatial resolution allows precise localization of iron in plant tissues or subcellular compartments, enabling the measurement of even minute changes in iron levels within plants — changes that can inform how a plant handles stress and uses nutrients. 

Traditional detection methods are destructive, or limited to a single form of iron. This new technology enables the diagnosis of deficiencies and optimization of fertilization strategies. By identifying insufficient or excessive iron intake, adjustments can be made to enhance plant health, reduce waste, and support more sustainable agriculture. While the nanosensor was tested on spinach and bok choy, it is species-agnostic, allowing it to be applied across a diverse range of plant species without genetic modification. This capability enhances our understanding of iron dynamics in various ecological settings, providing comprehensive insights into plant health and nutrient management. As a result, it serves as a valuable tool for both fundamental plant research and agricultural applications, supporting precision nutrient management, reducing fertilizer waste, and improving crop health.

“Iron is essential for plant growth and development, but monitoring its levels in plants has been a challenge. This breakthrough sensor is the first of its kind to detect both Fe(II) and Fe(III) in living plants with real-time, high-resolution imaging. With this technology, we can ensure plants receive the right amount of iron, improving crop health and agricultural sustainability,” says Duc Thinh Khong, DiSTAP research scientist and co-lead author of the paper.

“In enabling non-destructive real-time tracking of iron speciation in plants, this sensor opens new avenues for understanding plant iron metabolism and the implications of different iron variations for plants. Such knowledge will help guide the development of tailored management approaches to improve crop yield and more cost-effective soil fertilization strategies,” says Grace Tan, TLL research scientist and co-lead author of the paper.

The research, recently published in Nano Letters and titled, “Nanosensor for Fe(II) and Fe(III) Allowing Spatiotemporal Sensing in Planta,” builds upon SMART DiSTAP’s established expertise in plant nanobionics, leveraging the Corona Phase Molecular Recognition (CoPhMoRe) platform pioneered by the Strano Lab at SMART DiSTAP and MIT. The new nanosensor features single-walled carbon nanotubes (SWNTs) wrapped in a negatively charged fluorescent polymer, forming a helical corona phase structure that interacts differently with Fe(II) and Fe(III). Upon introduction into plant tissues and interaction with iron, the sensor emits distinct NIR fluorescence signals based on the iron type, enabling real-time tracking of iron movement and chemical changes.

The CoPhMoRe technique was used to develop highly selective fluorescent responses, allowing precise detection of iron oxidation states. The NIR fluorescence of SWNTs offers superior sensitivity, selectivity, and tissue transparency while minimizing interference, making it more effective than conventional fluorescent sensors. This capability allows researchers to track iron movement and chemical changes in real time using NIR imaging. 

“This sensor provides a powerful tool to study plant metabolism, nutrient transport, and stress responses. It supports optimized fertilizer use, reduces costs and environmental impact, and contributes to more nutritious crops, better food security, and sustainable farming practices,” says Professor Daisuke Urano, TLL senior principal investigator, DiSTAP principal investigator, National University of Singapore adjunct assistant professor, and co-corresponding author of the paper.

“This set of sensors gives us access to an important type of signalling in plants, and a critical nutrient necessary for plants to make chlorophyll. This new tool will not just help farmers to detect nutrient deficiency, but also give access to certain messages within the plant. It expands our ability to understand the plant response to its growth environment,” says Professor Michael Strano, DiSTAP co-lead principal investigator, Carbon P. Dubbs Professor of Chemical Engineering at MIT, and co-corresponding author of the paper.

Beyond agriculture, this nanosensor holds promise for environmental monitoring, food safety, and health sciences, particularly in studying iron metabolism, iron deficiency, and iron-related diseases in humans and animals. Future research will focus on leveraging this nanosensor to advance fundamental plant studies on iron homeostasis, nutrient signaling, and redox dynamics. Efforts are also underway to integrate the nanosensor into automated nutrient management systems for hydroponic and soil-based farming and expand its functionality to detect other essential micronutrients. These advancements aim to enhance sustainability, precision, and efficiency in agriculture.

The research is carried out by SMART, and supported by the National Research Foundation under its Campus for Research Excellence And Technological Enterprise program.

Read the full story here.
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Ignore the Influencers: Simple Showers Are Still Best

By Carole Tanzer Miller HealthDay ReporterSATURDAY, Dec. 13, 2025 (HealthDay News) — Listen to the influencers, skin-care specialists say, and your...

By Carole Tanzer Miller HealthDay ReporterSATURDAY, Dec. 13, 2025 (HealthDay News) — Listen to the influencers, skin-care specialists say, and your daily shower could do more harm than good."Your skin is a barrier," said Dr. Nicole Negbenebor, a dermatologic surgeon at University of Iowa Health Care, told The Associated Press. "So you want to treat it right, and then sometimes there can be too much of a good thing."If you’re double-cleansing, exfoliating, piling on scented body rubs and shower oils and spending a lot of time in the water, you’re probably going overboard, she and other skin-care experts agree.A daily shower with lukewarm water and hypoallergenic cleanser — preferably one that’s fragrance-free, and a slather of lotion or oil afterward are all you need, they say.Here’s a guide from dermatologists to sudsing up without getting carried away:Pay attention to time and temperature. Staying in the shower too long or cranking the temperature up too high can strip away natural oils your skin needs. The upshot: You’ll be dry and irritated.Pick the right soap. Choose one, dermatologists suggest, for sensitive skin and avoid antibacterial soaps, which can cause dryness. (Antibacterial soaps can, however, be beneficial for folks with hidradenitis suppurativa, an autoimmune condition that causes abscesses and boils on the skin, they point out.)Despite the influencers, double-cleansing isn’t necessary. No need, doctors say, to use oil-based cleansers to break down makeup and excess oil and then a water-based cleanser to remove any residue. And, they add, you sure don’t need to do that to your whole body."People overuse soap all the time," Dr. Olga Bunimovich, an assistant professor of dermatology at the University of Pittsburgh, told The AP. "You should not be soaping up all of your skin period." Instead, she advised, use soap to wash skin folds and your privates.Oil up. Once you’re out of the shower but still damp, an oil will lock in moisture that hydrates the skin, Negbenebor said. Just remember: Oil itself is a sealant, not a moisturizer.Don’t go overboard with exfoliating. Using a body scrub or loofah to remove dead cells is good for the skin, but not every day, especially if you have dry skin, acne or eczema. Using products that contain lactic or glycolic acid is a gentler way to exfoliate — but not all the time.While you’re being kind to your skin, think about the environment, too. Nearly 17% of U.S. indoor water use is in the shower, according to the U.S. Environmental Protection Agency. Shorter showers are good for the earth — and a lukewarm one that lasts long enough to clean your body should be sufficient most of the time.The University of Nebraska-Lincoln has more about showering.SOURCE: The Associated Press, July 10, 2025Copyright © 2025 HealthDay. All rights reserved.

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New method improves the reliability of statistical estimations

The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.

Let’s say an environmental scientist is studying whether exposure to air pollution is associated with lower birth weights in a particular county.They might train a machine-learning model to estimate the magnitude of this association, since machine-learning methods are especially good at learning complex relationships.Standard machine-learning methods excel at making predictions and sometimes provide uncertainties, like confidence intervals, for these predictions. However, they generally don’t provide estimates or confidence intervals when determining whether two variables are related. Other methods have been developed specifically to address this association problem and provide confidence intervals. But, in spatial settings, MIT researchers found these confidence intervals can be completely off the mark.When variables like air pollution levels or precipitation change across different locations, common methods for generating confidence intervals may claim a high level of confidence when, in fact, the estimation completely failed to capture the actual value. These faulty confidence intervals can mislead the user into trusting a model that failed.After identifying this shortfall, the researchers developed a new method designed to generate valid confidence intervals for problems involving data that vary across space. In simulations and experiments with real data, their method was the only technique that consistently generated accurate confidence intervals.This work could help researchers in fields like environmental science, economics, and epidemiology better understand when to trust the results of certain experiments.“There are so many problems where people are interested in understanding phenomena over space, like weather or forest management. We’ve shown that, for this broad class of problems, there are more appropriate methods that can get us better performance, a better understanding of what is going on, and results that are more trustworthy,” says Tamara Broderick, an associate professor in MIT’s Department of Electrical Engineering and Computer Science (EECS), a member of the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society, an affiliate of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and senior author of this study.Broderick is joined on the paper by co-lead authors David R. Burt, a postdoc, and Renato Berlinghieri, an EECS graduate student; and Stephen Bates an assistant professor in EECS and member of LIDS. The research was recently presented at the Conference on Neural Information Processing Systems.Invalid assumptionsSpatial association involves studying how a variable and a certain outcome are related over a geographic area. For instance, one might want to study how tree cover in the United States relates to elevation.To solve this type of problem, a scientist could gather observational data from many locations and use it to estimate the association at a different location where they do not have data.The MIT researchers realized that, in this case, existing methods often generate confidence intervals that are completely wrong. A model might say it is 95 percent confident its estimation captures the true relationship between tree cover and elevation, when it didn’t capture that relationship at all.After exploring this problem, the researchers determined that the assumptions these confidence interval methods rely on don’t hold up when data vary spatially.Assumptions are like rules that must be followed to ensure results of a statistical analysis are valid. Common methods for generating confidence intervals operate under various assumptions.First, they assume that the source data, which is the observational data one gathered to train the model, is independent and identically distributed. This assumption implies that the chance of including one location in the data has no bearing on whether another is included. But, for example, U.S. Environmental Protection Agency (EPA) air sensors are placed with other air sensor locations in mind.Second, existing methods often assume that the model is perfectly correct, but this assumption is never true in practice. Finally, they assume the source data are similar to the target data where one wants to estimate.But in spatial settings, the source data can be fundamentally different from the target data because the target data are in a different location than where the source data were gathered.For instance, a scientist might use data from EPA pollution monitors to train a machine-learning model that can predict health outcomes in a rural area where there are no monitors. 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Gas Stoves Are Poisoning Americans by Releasing Toxic Fumes Associated With Asthma and Lung Cancer

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Gas Stoves Are Poisoning Americans by Releasing Toxic Fumes Associated With Asthma and Lung Cancer In the United States, gas stoves are the main source of indoor nitrogen dioxide—a toxic gas tied to many health problems—according to a new study Sarah Kuta - Daily Correspondent December 11, 2025 9:13 a.m. Gas stoves are responsible for more than half of some Americans’ total exposure to toxic nitrogen dioxide, a new study suggests. Pexels A hidden danger may be lurking in your kitchen. Many Americans are breathing in nitrogen dioxide—a harmful pollutant that’s been linked with asthma and lung cancer—from fumes emitted by their gas stoves. A new study, published this month in the journal PNAS Nexus, suggests that gas stoves are the main source of indoor nitrogen dioxide pollution in the United States, responsible for more than half of some Americans’ total exposure to the gas. “We’ve spent billions of dollars cleaning up our air outdoors and nothing to clean up our air indoors,” study co-author Robert Jackson, an environmental scientist at Stanford University, tells SFGATE’s Anna FitzGerald Guth. “As our air outdoors gets cleaner and cleaner, a higher proportion of the pollution we breathe comes from indoor sources.” Scientists and public health experts have long known that nitrogen dioxide is bad for human health. The reddish-brown gas can irritate airways and worsen or even contribute to the development of respiratory diseases like asthma. Children and older individuals are particularly susceptible to its effects. Nitrogen dioxide is a byproduct of burning fuel, so most emissions come from vehicles, power plants and off-road equipment. However, indoors, the primary culprit is the gas stove, the household appliance that burns natural gas or propane to produce controlled flames under individual burners. It’s relatively easy to keep tabs on outdoor nitrogen dioxide concentrations and estimate their corresponding exposure risks, thanks to satellites and ground-level stations located across the country. By contrast, however, indoor sources are “neither systematically monitored nor estimated,” the researchers write in the paper. Did you know? Bans on gas Berkeley, California, became the first city to prohibit gas hookups in most new buildings in 2019, although the ordinance was halted in 2024 after the California Restaurant Association sued. Still, 130 local governments have now implemented zero-emission building ordinances, according to the Building Decarbonization Coalition. For the study, Jackson and his colleagues performed a ZIP-code-level estimate of how much total nitrogen dioxide communities are exposed to. Information came from two databases tracking outdoor nitrogen dioxide concentrations and a building energy use database, which helped the team construct characteristics of 133 million residential dwellings across the country, along with their home appliances. Among individuals who use gas stoves, the appliances are responsible for roughly a quarter of their overall nitrogen dioxide exposure on average, the team found. For those who cook more frequently or for longer durations, gas stoves can be responsible for as much as 57 percent of their total exposure. “Our research shows that if you use a gas stove, you’re often breathing as much nitrogen dioxide pollution indoors from your stove as you are from all outdoor sources combined,” says Jackson in a Stanford statement. Individuals who use gas stoves are exposed to roughly 25 percent more total residential nitrogen dioxide over the long term than those who use electric stoves, which do not emit the gas. Total exposure tends to be highest in big cities, where people often have small living spaces and outdoor levels are also high. Switching from a gas to an electric stove would help roughly 22 million Americans dip below the maximum nitrogen dioxide exposure levels recommended by the World Health Organization, the analyses suggest. The authors recommend replacing gas stoves with electric models whenever possible. “You would never willingly stand over the tailpipe of your car, breathing in pollution,” Jackson tells Women’s Health’s Korin Miller. “Why breathe the same toxins every day in your kitchen?” Dylan Plummer, acting deputy director for building electrification for the Sierra Club, a nonprofit environmental organization, agrees. 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Parents Might Pass Depression Down To Kids Through One Specific Symptom, Experts Say

By Dennis Thompson HealthDay ReporterTHURSDAY, Dec. 11, 2025 (HealthDay News) — Children of depressed parents are more likely to develop depression...

By Dennis Thompson HealthDay ReporterTHURSDAY, Dec. 11, 2025 (HealthDay News) — Children of depressed parents are more likely to develop depression themselves, and a new study suggests this risk might be tied to one specific symptom of depression.It’s already known that depression in parents can affect how children’s brains respond to positive and negative feedback, researchers said.“If parents are experiencing forms of depression where they’re not enjoying things and aren’t interested in things, that seems to be impacting how their kids are responding to what’s going on around them,” senior researcher Brandon Gibb, director of the Mood Disorders Institute at Binghamton University, said in a news release.“They’re less reactive to positive things and negative things,” he continued. “It seems that parents’ experiences of anhedonia is the key feature of depression impacting how children’s brains are responding, at least in our study, rather than other common symptoms of depression.”For the new study, researchers performed a lab experiment involving more than 200 parents and children ages 7 to 11.The experiment was designed to see how parents’ anhedonic symptoms affect children’s brain responses to positive and negative feedback.“The idea is that if you have this risk factor of being less interested or less engaged or finding things less enjoyable, maybe that’s reflected in how your brain responds to environmental feedback,” said lead researcher Alana Israel, a doctoral student at Binghamton University, a branch of the State University of New York. “Children of parents who have higher levels of anhedonic depressive symptoms should show a reduced response while other depressive symptoms theoretically should not be as related to this specific brain response,” Israel explained in a news release.In the experiment, children were presented with two doors and asked to guess the one with a prize behind it. If they chose the right door, they won money; if they chose wrong, they lost money.Results showed that kids’ response to either winning or losing money was blunted if their parents had higher levels of anhedonic symptoms. “What that tells us is that there is something specific about parents’ anhedonia that may impact children’s neural responses,” Israel said. “It further specifies a group of children who might be at heightened risk for loss of interest or pleasure and lack of engagement, which is a core feature of depression.”Future research should investigate how family dynamics might change if parents with anhedonic symptoms receive treatment or start to feel better, the team said.Researchers said it’s also important to examine whether children’s responses to other sorts of feedback, like social feedback from peers, are also affected by parents’ depression.“There are researchers looking at interventions that are designed to increase positive mood, positive engagement and positive parent-child relationships,” Israel said. “It will be important to see if these findings can identify families who might be most likely to benefit from those types of interventions.”SOURCE: Binghamton University, news release, Dec. 4, 2025Copyright © 2025 HealthDay. All rights reserved.

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Our gut microbiome has a huge influence on our overall health, but we haven't been clear on the specific bacteria with good versus bad effects. Now, a study of more than 34,000 people is shedding light on what a healthy gut microbiome actually consists of

The trillions of microscopic bacteria that reside in our gut have an outsized role in our healthTHOM LEACH/SCIENCE PHOTO LIBRARY We often hear talk of things being good for our microbiome, and in turn, good for our health. But it wasn’t entirely clear what a healthy gut microbiome consisted of. Now, a study of more than 34,000 people has edged us closer towards understanding the mixes of microbes that reliably signal we have low inflammation, good immunity and healthy cholesterol levels. Your gut microbiome can influence your immune system, rate of ageing and your risk of poor mental health. Despite a profusion of home tests promising to reveal the make-up of your gut community, their usefulness has been debated, because it is hard to pin down what defines a “good” microbial mix. Previous measures mainly looked at species diversity, with a greater array of bacteria being better. But it is difficult to identify particular communities of interacting organisms that are implicated in a specific aspect of our health, because microbiomes vary so much from person to person. “There is a very intricate relationship between the food we eat, the composition of our gut microbiome, and the effects the gut microbiome has on our health. The only way to try to map these connections is having large enough sample sizes,” says Nicola Segata at the University of Trento in Italy. To create such a map, Segata and his colleagues have assessed a dataset from more than 34,500 people who took part in the PREDICT programme in the UK and US, run by microbiome testing firm Zoe, and validated the results against data from 25 other cohorts from Western countries. Of the thousands of species that reside in the human gut, the researchers focused on 661 bacterial species that were found in more than 20 per cent of the Zoe participants. They used this to determine the 50 bacteria most associated with markers of good health – assessed via markers such as body mass index and blood glucose levels – and the 50 most linked to bad health. The 50 “good bug” species – 22 of which are new to science – seem to influence four key areas: heart and blood cholesterol levels; inflammation and immune health; body fat distribution; and blood sugar control. The participants who were deemed healthy, because they had no known medical conditions, had about 3.6 more of these species than people with a condition, while people at a healthy weight hosted about 5.2 more of them than those with obesity. The researchers suggest that good or bad health outcomes may come about due to the vital role the gut microbiome plays in releasing chemicals involved in cholesterol transport, inflammation reduction, fat metabolism and insulin sensitivity. As to the specific species that were present, most microbes in both the “good” and “bad” rankings belong to the Clostridia class. Within this class, species in the Lachnospiraceae family featured 40 times, with 13 seemingly having favourable effects and 27 unfavourable. “The study highlights bacterial groups that could be further investigated regarding their potential positive or negative impact [on] health conditions, such as high blood glucose levels or obesity,” says Ines Moura at the University of Leeds, UK. The link between these microbes and diet was assessed via food questionnaires and data logged on the Zoe app, where users are advised to aim for at least 30 different plants a week and at least three portions a day of fermented foods, with an emphasis on fibre and not too many ultra processed options. The researchers found that most of the microbes either aligned with a generally healthy diet and better health, or with a worse diet and poorer health. But 65 of the 661 microbes didn’t fit in. “These 65 bacteria are a testament to the fact that the picture is still more complex than what we saw,” says Segata, who also works as a consultant for Zoe. “The effects may depend on the other microbes that are there, or the specific strain of the bacterium or the specific diet.” This sorting of “good” versus “bad” bacteria has enabled the researchers to create a 0 to 1000 ranking scale for the overall health of someone’s gut microbiota, which is already used as part of Zoe’s gut health tests. “Think of a healthy gut microbiome as a community of chemical factories. We want large numbers of species, we want the good ones outnumbering the bad ones, and when you get that, then you’re producing really healthy chemicals, which have impacts across the body,” says team member Tim Spector at King’s College London and co-founder of Zoe. This doesn’t mean the ideal healthy gut microbiome has been pinned down, though. “Defining a healthy microbiome is a difficult task, as the gut microbiome composition is impacted by diet, but it can also change with environmental factors, age and health conditions that require long-term medication,” says Moura. “We really need to think about our body and our microbiome as two complex systems that together make one even more complex system,” says Segata. “When you change one thing, everything is modified a bit as a consequence. Understanding what is cause and effect in many cases can be very intricate.” Bigger studies are needed to tease out these links and cover more of the global population, says Segata. However, once we have established the baseline of your health and microbiome, it should become possible to recommend specific foods to tweak your gut bacteria, he says.

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Science

We Are Nature

We made this short film under lockdown conditions throughout the pandemic of Covid-19. The film argues that policies are not enough to prevent a future outbreak. We need a paradigm shift in how we view nature and the rest of life on this planet. The film was made remotely via zoom, a fact made clear in the style of the film. Our speakers appear on screens, which we filmed from inside our homes. Each speaker offers a different perspective on the origins of the pandemic in the ways we see and value nature. If humans can’t escape their connection to the natural world, it’s time for a better one. The health of us and the planet depends on it.

Health
Nature
Animals

Vanishing Springs

The Florida you know is a lie. In contrast to what Americans have been told, Florida’s magic is not found in the giant mouse, the rolling green golf courses, or in the beachside palaces. The beauty and uniqueness of Florida is under our feet - the aquifer. This pure, crystal clear water is the life blood of our state and without it, life as we know it in the sunshine state would not exist. This life sustaining force is only seen where it bubbles up to the surface through Florida’s collection of 1,000 springs. These springs were originally what drew society to this land. Wealthy tourists in the 1900’s flooded the Florida springs seeking medicinal cures from its pristine waters. As springs became a popular tourist destination, spring houses were built around these pools of water. When this development began, the springs began flowing less and some eventually stopped altogether. People assumed this was the natural order of this wonder and moved on. Theme parks, golf courses and resorts were erected to entice tourists to visit Florida, the natural beauty of the state soon faded out of our memory. The springs of Florida now silently suffer from the effects of continued development in Florida. The current strain we are placing on the fragile ecosystem is choking the life out of our state. Overdevelopment is one of the leading forces that is damaging the springs. The once pure sources of water no longer boil up like a fountain the way they have for centuries. The water that the springs do produce is polluted by nitrates. This pollution fuels the growth of toxic algae blooms, which are taking over springs and the rivers they feed, thus putting our health at risk. Over 90% of our drinking water gushes out of these sapphire pools. These glorious reservoirs have begun to shrink. If something is not done soon, the springs will simply become part of Florida history. In southern Florida they already have. Springs once bubbled up all across the state. They were wiped out in South Florida decades ago by the ditching and draining of the landscape as well as over-pumping of the aquifer. This water was then sprayed on suburban lawns and farmers' fields, run through showers and flushed down toilets, turned into steam to crank turbines for electricity, or siphoned into plastic bottles for sale around the country. Because of poor use and neglect of our greatest resource, we will soon be without this supply of fresh water. Floridians regard their water supply as abundant and cheap, when the fact is it's neither. Until this attitude changes, the springs will not be rescued.

Water
Conservation
Health

Unacceptable Risk: Dr. Margaret Kripke on Cancer and the Environment

Unacceptable Risk tells the story of a prominent cancer researcher who rethinks her assumptions about the causes of cancer and the true burden of environmentally-induced cancers.

Chemicals
Science
Health

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