Thursday, July 10, 2025

SPAGYRIC HERBALISM

Chemicals from turmeric and rhubarb could help fight antibiotic-resistant bacteria lurking in wastewater




Scientists monitoring wastewater find a range of antibiotic-resistant bacteria — but natural compounds show promise for fighting them off




Frontiers





When we’re taking antibiotics, some of the dose is excreted with urine and feces and ends up in our wastewater. The presence of this low dose of antibiotic creates an opportunity for resistant bacteria to evolve. Scientists studying antibiotic resistant bacteria in wastewater at a treatment plant discovered multi-drug resistant strains of bacteria species which are usually not dangerous to healthy people, but which could transmit genes for antibiotic resistance to much more dangerous bacteria like E. coli.  

The scientists then challenged the bacteria with natural compounds which could potentially be included in wastewater treatment to kill off bacteria and fight antibiotic resistance. The most effective were curcumin, which comes from turmeric, and emodin, from rhubarb. 

“Without improved treatment, wastewater could serve as a breeding ground for ‘superbugs’ that may enter water resources such as rivers, lakes, and reservoirs, posing potential risks to public health,” said Dr Liyuan ‘Joanna’ Hou of Utah State University, senior author of the article in Frontiers in Microbiology. “Our goal was to isolate and characterize multidrug-resistant bacteria, explore the molecular mechanisms of resistance through whole-genome sequencing, and assess the potential of natural compounds as alternative mitigation strategies.” 

Survival of the resistant 

Antibiotic resistance develops when bacteria evolve to be less vulnerable to antibiotics. This is more likely to happen if bacteria are exposed to a dose of vaccine which is too low to kill them all; the survivors develop resistance. Someone infected with these resistant bacteria may then find that their treatment doesn’t work, potentially making routine surgery or illness much more dangerous.  

Some bacteria are resistant to several antibiotics; these infections are often treated with ‘last resort’ drugs like colistin. However, when Hou and her colleagues tested samples of effluent from a wastewater treatment plant in Logan, Utah, they found some colonies of bacteria that were resistant even to colistin. This underlines the urgency of finding ways of preventing and treating bacterial infection which minimize the use of antibiotics.  

The scientists screened their samples using one antibiotic, sulfamethoxazole, to identify nine different antibiotic-resistant strains. These strains of bacteria were then tested against multiple classes of antibiotic to see how many they resisted. Their genomes were also sequenced, which allowed the scientists to identify not just the bacteria themselves but genes which contribute to their antibiotic resistance. One strain, U2, which had the highest number and variety of antibiotic resistance genes, was resistant to all the antibiotics tested.  

The strains represented species of MicrobacteriumChryseobacteriumLactococcus lactis, and Psychrobacter, which are rarely dangerous to most people — but that doesn’t mean their presence is nothing to be worried about.  

“While not traditionally classified as top-priority clinical pathogens, some are opportunistic pathogens associated with infections such as pneumonia in immunocompromised individuals,” explained Hou. “These bacteria could also act as environmental reservoirs, transferring resistance genes to other bacteria, including clinically relevant pathogens.” 

Fighting back 

The scientists challenged colonies of these bacteria with different concentrations of 11 natural compounds: berberine, chlorflavonin, chrysin, curcumin, emodin, hesperidin, naringin, quercetin, resveratrol, rutin, and 2’-hydroxyflavone. They then looked at different measurements of the colonies’ health — cell growth, biofilm formation, and how active the bacteria were. 

“We selected a panel of compounds primarily derived from plants, such as curcumin from turmeric, quercetin from onions and apples, and emodin from rhubarb,” said Hou. “These compounds were chosen based on their reported antimicrobial or anti-biofilm properties in previous studies and their natural abundance, making them promising candidates for exploring new, environmentally friendly approaches to mitigate resistance.” 

They found that emodin and curcumin were best at inhibiting cell growth and biofilm formation, while curcumin and a higher dose of emodin reduced cell activity — although a low dose of emodin increased activity for several strains. However, Gram-negative bacteria like Chryseobacterium were resistant to all the compounds. 

“While natural compounds like curcumin and emodin show promise in inhibiting Gram-positive multidrug-resistant bacteria, further research is needed,” said Hou. “Future work should include testing these compounds in complex wastewater matrices, exploring synergistic effects with existing treatment processes, and assessing long-term impacts on microbial communities and resistance dynamics. Additionally, scaling up from laboratory studies to pilot-scale trials will be critical for evaluating feasibility and environmental safety.” 

 

New tool maps hidden roles and risks in ecosystems



Data-driven approach reveals overlooked species at risk of extinction—and can help conservationists target their efforts more effectively




Complexity Science Hub

The robustness index-importance index plane for the Cypress dry season food web 

image: 

Each dot on the graph represents a species. The color and shape of each dot show what type of species it is (like producers, invertebrates, or predators), and the size of the dot shows how much living material (biomass) that species has in the ecosystem.
The dots are not spread out randomly—they tend to form groups based on the classification:

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Credit: Complexity Science Hub






[Vienna, July 10, 2025] – Do you think you know which species are most vulnerable in an ecosystem? A novel analytical method developed by Italian physicists at the Complexity Science Hub (CSH) suggests there's more to discover. In their recent study, they found out how species like lizards and rabbits in South Florida's cypress wetlands are among their ecosystem's most at-risk species, pointing to vulnerabilities that aren't always obvious.

The study, published in Chaos, Solitons & Fractals, introduces an innovative tool to map and measure species' ecological roles and vulnerabilities. Compared to traditional models, it performs similarly or better, especially in identifying species at the most significant risk of extinction.

“We were able to reconstruct ecological roles entirely through network data, without requiring any biological knowledge on our part,” notes first author Emanuele Calò. “This makes the method particularly promising for large-scale biodiversity assessments and ecosystem management, especially in regions where ecological expertise or detailed field studies are limited,” adds Calò, from IMT School for Advanced Studies Lucca.

As a visiting student at CSH, Calò developed the new method with CSH researcher Vito D. P. Servedio and CSH junior fellow Giordano De Marzo.

A Data-Driven Approach

As ecosystems worldwide face mounting pressures from climate change, habitat loss, and overexploitation, conservationists urgently need better tools to prioritize species protection, point out the researchers. “Our data-driven approach provides a valuable, complementary, and cost-effective layer of insight.”

For instance, by pinpointing keystone species—those whose loss risks triggering wider coextinctions—the new approach might enable conservationists to direct limited resources and protective measures where they can make the most difference.

Dual Role: Predator and Prey

“With our method, we wanted to disentangle the dual role that every species plays, both as predator and prey,” explains De Marzo, also a postdoctoral researcher at the University of Konstanz. “The existing measures tend to compress these interactions into a single number, but ecosystems are more complex than that. Our approach captures both directions in the food web, allowing us to understand which species are keystone and most vulnerable.”

Using real-world data from six ecosystems, including the Florida Bay cypress and Coachella desert ecosystems, their method assigns every species two scores: importance, which captures how many others depend on a species as a food source; and robustness, which reflects how likely a species is to survive based on how flexible and successful it is at finding food.

Phytoplankton, Lizards, Rabbits, and Alligators

This bidimensional mapping revealed hidden vulnerabilities and keystone species with remarkable clarity. In the example of the Florida Bay cypress food web, it pinpointed high-importance species, such as phytoplankton, which often trigger widespread co-extinctions if removed, and high-robust species, including alligators, which tend to survive longer through ecosystem collapse due to diverse diets and low vulnerability to predation. 

In addition, the new framework identifies low-robustness species, such as lizards and rabbits. Even if marginal to the food web, these are still at significant risk of extinction, pointing to hidden vulnerabilities often overlooked in conservation planning.

Interdisciplinarity

"What we found particularly striking in our research was how economic complexity methods could be directly applied to ecological systems. When you mention using economic tools to study ecology, people often raise their eyebrows: these seem entirely unrelated. But that's precisely what makes complex systems science so powerful,” says Servedio.

“The mathematical frameworks we use to understand how countries develop competitive advantages in global trade networks can reveal how species interact and coexist within ecosystems,” explains the CSH researcher. This demonstrates that complex systems often share these underlying structural patterns, whether about economies or ecosystems. So while the context is different—in the new study, the researchers are looking at species instead of industries, habitats instead of markets —, the fundamental network dynamics are remarkably similar.

“This kind of methodological transfer is becoming increasingly important in our field. Some of our most significant insights come from borrowing tools from seemingly unrelated disciplines and discovering these unexpected connections," concludes Servedio.
 


About the Study

The paper “Species vulnerability and ecosystem fragility: A dual perspective in food webs,” by Emanuele Calò, Giordano De Marzo, and Vito D. P. Servedio was published in Chaos, Solitons & Fractals and is available online (https://doi.org/10.1016/j.chaos.2025.116741).


About CSH

The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. CSH members are Austrian Institute of Technology (AIT), BOKU University, Central European University (CEU), Graz University of Technology, Interdisciplinary Transformation University Austria (IT:U), Medical University of Vienna, TU Wien, University of Continuing Education Krems, Vetmeduni Vienna, Vienna University of Economics and Business, and Austrian Economic Chambers (WKO).

 

Children’s social media activity highlights emotional stress of living with long-term health issues




University of Plymouth





Children with multiple long-term health issues undergo severe emotional stress at the same time as they are trying to cope with the physical challenges of their condition, a study has found.

Research led by the University of Plymouth used AI language models to analyse sentiments and emotions expressed by almost 400 paediatric patients and their caregivers on social media. In particular, they wanted to assess young people’s opinions regarding their care and experiences during the COVID-19 pandemic, and the impact that had on their emotional and psychological wellbeing.

Using anonymous data sourced from the Care Opinion platform they found that of the narratives analysed, almost 94% of the comments posted were classed as negative and less than 6% were positive. More than six out of ten negative comments were classed as being associated with sadness, with feelings of fear (at almost one in every six comments) also being prevalent.

Children with conditions such as cancer, asthma, chronic pain and mental health conditions showed particularly high emotional distress, highlighting the emotional burden of managing multiple long-term health issues.

The COVID-19 pandemic was also shown to exacerbate the negative sentiments, particularly sadness and disgust, with patients expressing frustration with the healthcare system while isolation and disrupted care routines triggered intense emotional responses.

And while just 6% of the comments were classed as positive, the study found that most of them related to effective communication, compassionate care, and successful treatment outcomes.

The researchers say the study highlights the importance of supporting vulnerable young patients managing complex medical conditions, and the need for integrated care approaches to both physical and emotional well-being.

This research was conceived and led by Professor of e-Health Shang-Ming Zhou, and its data analysis was implemented by MSc Data Science and Business Analytics student Temidayo (Israel) Oluwalade with support from Dr Hossein Ahmadi in Plymouth’s Centre for Health Technology, Dr Richard Sharpe with Cornwall Council, and Professor Lin Huo with Guangxi University. 

Professor Zhou, a recognised expert in the use of AI to analyse health data, said: “To our knowledge, this is the first study of its kind to analyse the sentiments and emotions of paediatric patients using social media data. Our findings bring to light the deeply emotional journey patients with multiple long-term health issues go through, fills a critical gap in knowledge for healthcare professionals and agencies. It also highlights the disproportionate emotional burden faced by paediatric patients with multiple health issues and their caregivers during the COVID pandemic, showing the need for targeted interventions to address emotional responses during public health emergencies.”

Israel Oluwalade, who graduated with a Distinction in 2024, added: “As I worked through the dataset, I was particularly struck by how clearly children’s emotional responses aligned with specific comorbidity patterns – for example, fear and sadness were especially dominant among those discussing multiple hospital visits or long-term medication. What also surprised me most was the unexpectedly high frequency of ‘satisfaction’ and ‘amazement’ in posts referencing kind staff or successful treatment episodes. It reminded me how digital expressions can reflect not only distress but also resilience and hope, even among young patients with complex conditions.”

 

Agricultural biotechnology in China: Product development, commercialization, and perspectives




Beijing Zhongke Journal Publising Co. Ltd.
Agricultural biotechnology in China: product development, commercialization, and perspectives 

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Approved agricultural GM and GE products with biosafety certificates in China.

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Credit: Beijing Zhongke Journal Publising Co. Ltd.





This review is led by Professor Kongming Wu (State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China). Biotechnology has become indispensable in modern agriculture, and the global application of genetically modified (GM) and genome-edited (GE) organisms has demonstrated their advantages for economic development and environmental sustainability. Over the past three decades, China has made remarkable strides in agricultural biotechnology, the Chinese government has actively supported the research, development, and application of agricultural biotechnology while progressively established and improved compatible safety evaluation and regulatory framework. Consequently, China has become an important participant and driver, facilitating the successful industrial application of agricultural biotechnology products domestically.

This review systematically presents China’s agricultural biotechnology development. It summarizes the advancements achieved in GM and GE technology research and industrial application over the past 30 years, provides a thorough analysis of the biosafety certificate approvals for the production and application of agricultural GM/GE organisms in China, and proposes prospects for bio-breeding innovation. This work serves as a critical reference for understanding the historical trajectory, current state, and future directions of biotechnological breeding innovation and its industrial applications in China.

Comprehensive Research Investigation

The discovery and utilization of functional genes represent the core of agricultural biotechnology. This review details recent advancements in functional gene discovery, highlighting progress in biotic stress resistance, nutrient quantity/quality improvement, and abiotic stress resistance genes across animals, plants and microorganisms. Significant breakthroughs have been achieved in the transgenic and genome-editing technologies, establishing a large-scale technical system. The innovation of gene delivery technology has overcome bottlenecks related to species diversity and transformation efficiency. Furthermore, advancements in synthetic biology enable the creation of novel high-nutritional-value biol-breeding products, expanding their functionality and variety.

Technological Innovations and Application

This review presents the scientific assessment and regulatory system established by the Chinese government to ensure the safe application, circulation and consumption of biotechnology products. It systematically reviews the developments since 1997 when the Chinese government officially began accepting applications for biosafety assessments of agricultural genetically modified organisms (GMOs) and their products.

Focusing on biosafety certificates approved for production applications, the review provides a multi-dimensional analysis of the types, functions, and characteristics of the approved agricultural GM and GE products. Analyzing approval trends alongside research and development features and policy changes reveals distinct historical stages. Overall, approved applications show steady annual growth. Agricultural GM microorganisms for animal use account for the largest proportion, while GM and GE plants exhibit the highest growth rate. Crucially, the nature of the application units has gradually shifted from predominately domestic research institutions to being enterprise-led, enhancing innovative design capabilities and accelerating commercialization.

Prospects

Modern agricultural biotechnology breeding achieves efficient, precise, and targeted genetic improvement through advanced technological innovation, leading to the development of numerous new varieties of plants, animals, and microorganisms. This significantly contributes to ensuring food security and stable supply of key agricultural products.

This review provides a forward-looking analysis of the future research, development, and application directions for biotechnology products in plants, animals, microorganisms, and biosynthesis, while also examining potential challenges. To ensure healthy and orderly development, the author recommends implementing key measures. These include the consistent implementation of long-term science and technology development plans, enhancing the comprehensive innovation capabilities of biotechnology enterprises, further refining the biosafety regulatory framework, and formulating and implementing targeted public awareness programs regarding biotechnology.

With concerted efforts from the government, research institutions, enterprises, and society, the accelerated commercialization of biotechnology-derived breeding innovations will become an indispensable component of China's modern agriculture, substantially enhancing national food security and agricultural resilience.

 

See the article:

Agricultural biotechnology in China: product development, commercialization, and perspectives

https://link.springer.com/article/10.1007/s42994-025-00209-4

 

Does grading students at earlier ages increase the risk of mental disorders in adolescents?




Wiley





Research in Health Economics indicates that introducing school grades—with A as the highest grade and F as a failing grade—at younger ages may negatively affect children’s mental health.

In Sweden, students traditionally received individual grades beginning in eighth grade (around 14 years of age), but in the fall of 2012, a reform shifted the introduction of grades to sixth grade (around age 12).

By comparing sociodemographic and clinical data on 524,093 children in Sweden in grades 5 through 9 before and after the reform, investigators found that girls exposed to earlier grading were more likely to be diagnosed with internalizing disorders, such as depression and anxiety, by the end of compulsory school—especially female students with low to moderate academic achievement.

Evidence also suggested that both girls and boys exposed to earlier grading face an increased risk of being diagnosed with alcohol‐related disorders.

“Like many countries, Sweden has moved toward more testing and tighter grading, repeatedly revising its assessment system,” said corresponding author Anna Linder, PhD, of Lund University, in Sweden. “Our results show that these changes can have detrimental effects on children's mental health. Grades aren’t inherently harmful, but their design should carefully consider that children vary in when—and how—they can turn feedback into healthy growth.”

URL upon publication: https://onlinelibrary.wiley.com/doi/10.1002/hec.4982

 

Additional Information
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About the Journal
Health Economics is an international health policy journal publishing articles on all aspects of global health economics. We welcome theoretical contributions, empirical studies, and analyses of health policy from the economic perspective. With a wide scope, Health Economics welcomes contributions on the valuation, determinants and definition of health, health care supply and demand, planning and market mechanisms, treatment micro-economics, and health care system performance.

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