New AI body map reveals obesity’s hidden attack on facial nerves

 

Researchers at Helmholtz Munich, Ludwig Maximilians University Munich (LMU), and several partner institutions have created an artificial intelligence (AI) system capable of mapping disease-related changes throughout an entire mouse body at cellular-level detail. Using the new platform, known as MouseMapper, the team discovered widespread inflammation and previously unknown nerve damage linked to obesity.

The study also identified similar molecular patterns in human tissue, suggesting that important aspects of obesity-related nerve damage may occur in both mice and people. The findings were published in the journal Nature.

Obesity is known to affect much more than body weight and metabolism. It can alter immune activity, disrupt nerve structures, and reshape tissues throughout the body, increasing the risk of conditions such as type 2 diabetes, cardiovascular disease, stroke, neuropathy, and cancer. Despite these widespread effects, scientists have lacked tools capable of studying disease-related changes across an entire intact body in high detail.

To address that challenge, a research team led by Prof. Ali Ertürk, Director of the Institute for Biological Intelligence (iBIO) at Helmholtz Munich and Professor at LMU, developed MouseMapper. The AI framework uses foundation-model-based deep learning algorithms to analyze massive whole-body imaging datasets.

The system can automatically identify and segment 31 organs and tissue types while also mapping nerves and immune cells throughout the body. This allows researchers to examine how diseases affect multiple organ systems at the same time in intact mice.

"MouseMapper is built on a foundation model, which means it generalizes far beyond the data it was originally trained on," says Ying Chen, co-first author of the study.

Transparent Mice and Whole-Body Imaging

To build the body maps, researchers first tagged nerves and immune cells in mice using fluorescent markers that glow under a microscope. They then used tissue-clearing methods to make the mice transparent while preserving the fluorescent signals, allowing scientists to see deep inside the body without cutting tissues apart.

Next, the team used advanced light-sheet microscopy to capture detailed three-dimensional images of entire mice. The process generated enormous datasets containing tens of millions of cellular structures from organs and tissues across the body.

MouseMapper then analyzed the images automatically, identifying anatomical regions, nerve networks, and immune-cell clusters throughout the animals.

This approach allowed the researchers to pinpoint exactly where inflammation and tissue damage appeared in organs such as fat tissue, muscle, liver, and peripheral nerves. Unlike earlier methods, scientists did not need to choose specific regions to study beforehand.

Obesity Linked to Facial Nerve Damage

To explore how obesity changes the body, the researchers fed mice a high-fat diet that produced obesity and metabolic problems similar to those seen in humans.

Using MouseMapper, the team found widespread alterations in immune-cell organization and nerve structures across the body. One of the most surprising discoveries involved the trigeminal nerve, a major facial nerve responsible for facial sensation and certain motor functions.

In obese mice, these sensory nerves showed a major reduction in branches and nerve endings, suggesting impaired nerve function. Behavioral tests supported that conclusion, showing that obese mice were less responsive to sensory stimulation compared to lean mice.

The researchers then focused on the trigeminal ganglion, which contains the cell bodies of facial sensory neurons. Through spatial proteomics analysis, they identified molecular changes linked to inflammation and nerve remodeling.

Importantly, many of the same molecular signatures were also found in trigeminal tissue from people with obesity. This suggests that the nerve-related changes observed in mice may also occur in humans.

"We revealed previously unknown structural and molecular changes in the trigeminal ganglion and its facial branches, and the same molecular signature was conserved in human tissue. This kind of finding simply cannot emerge from studying one organ at a time," says Dr. Doris Kaltenecker, senior scientist at the Institute for Diabetes and Cancer (IDC) at Helmholtz Munich and first author of the study.

A New Tool for Studying Complex Diseases

The researchers believe MouseMapper could become an important tool for studying diseases that affect many organ systems simultaneously, including diabetes, cancer, neurodegenerative diseases, and autoimmune disorders.

Unlike earlier approaches focused on individual tissues or organs, MouseMapper provides an integrated whole-body analysis system that can identify disease hotspots throughout an organism.

The team has also made the whole-body datasets publicly available online so researchers around the world can explore obesity-related changes across organs and tissues.

"Our goal is to create a comprehensive framework for understanding how diseases affect the body as an interconnected system," says Ali Ertürk. "Our long-term vision is to build truly realistic digital twins of mice in health and disease: cell-level atlases that we can query, perturb and screen in silico computationally. That would let us pinpoint the earliest changes a disease causes, design interventions to prevent them, and accelerate the discovery of new treatments while reducing the number of physical experiments we need to run."

The work was supported by the European Research Council (Consolidator Grant CALVARIA to A. Ertürk; grant 949017 to M. Rohm), the German Research Foundation (DFG) under Germany's Excellence Strategy within the Munich Cluster for Systems Neurology (SyNergy, ID 390857198, EXC 2145), DFG SFB 1052 (A9) and TR 296 (P03), the Collaborative Research Centre CRC 1744, the German Federal Ministry of Education and Research (NATON collaboration, 01KX2121, and HIVacToGC), the Vascular Dementia Research Foundation, the Nomis Heart Atlas Project Grant (Nomis Foundation), the Else-Kröner-Fresenius-Stiftung, the Edith-Haberland-Wagner Stiftung, the Helmut Horten Foundation, the EFSD and Novo Nordisk A/S Programme for Diabetes Research in Europe (to D. Kaltenecker), and the China Scholarship Council (to Y. Chen).

Journal Reference:

1. Doris Kaltenecker, Izabela Horvath, Rami Al-Maskari, Ying Chen, Zeynep Ilgin Kolabas, Luciano Hoeher, Mihail Todorov, David-Paul Minde, Saketh Kapoor, Sena Gül Turhan, Louis B. Kuemmerle, Hanno Steinke, Tim Wohlgemuth, Mayar Ali, Florian Kofler, Pauline Morigny, Julia Geppert, Denise Jeridi, Bastian Wittmann, Jie Luo, Suprosanna Shit, Carolina Cigankova, Victor Miro Kolenic, Nilsu Gür, Eren Aydeniz, Alara Yücecan, Melissa Ertürk, Laurent H. A. Simons, Chenchen Pan, Marie Piraud, Daniel Rueckert, Maria Rohm, Farida Hellal, Markus Elsner, Harsharan Singh Bhatia, Ingo Bechmann, Bjoern H. Menze, Stephan Herzig, Johannes Christian Paetzold, Mauricio Berriel Diaz, Ali Ertürk. A deep-learning framework reveals whole-body perturbations at cell level. Nature, 2026; DOI: 10.1038/s41586-026-10535-2

Courtesy:

Helmholtz Munich (GmbH). "New AI body map reveals obesity’s hidden attack on facial nerves." ScienceDaily. ScienceDaily, 23 May 2026. <www.sciencedaily.com/releases/2026/05/260522023308.htm>. 

 

 

 

 

Scientists uncover cancer-causing chemicals hidden in everyday foods

 

More people are paying close attention to what they eat, often tracking calories, exercising daily, and filling their plates with foods that seem naturally healthy, including fruits and vegetables. Yet even nutritious foods can carry hidden chemical concerns. Some contaminants can enter food from the environment, while others can form during high heat cooking methods such as heating, smoking, grilling, roasting, and frying.

Among the compounds of concern are polycyclic aromatic hydrocarbons, or PAHs (hydrophobic organic compounds comprising multiple fused aromatic rings). Some PAHs are known for their cancer causing potential, which makes reliable food testing an important part of protecting public health.

A Hidden Food Safety Challenge

Detecting PAHs in food is not simple. Conventional extraction methods, such as solid phase extraction, liquid liquid extraction, and accelerated solvent extraction, can be affordable, but they often require lengthy preparation, heavy hands on labor, and chemical intensive procedures that are not ideal for workers or the environment.

To solve these problems, scientists have been turning to a streamlined method known as QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe). The approach is designed to speed up sample preparation, reduce chemical use, improve recovery rates, and make food contaminant testing more practical for routine safety checks.

In a 2025 study, researchers from the Department of Food Science and Biotechnology at Seoul National University of Science and Technology, led by Professor Joon-Goo Lee, used QuEChERS to measure eight PAHs (Benzo[a]anthracene, Chrysene, Benzo[b]fluoranthene, Benzo[k]fluoranthene, Benzo[a]pyrene, Indeno[1,2,3-cd]pyrene, Dibenz[a,h]anthracene, and Benzo[g,h,i]perylene in food. The findings were published in the journal Food Science and Biotechnology.

Faster Testing With Strong Accuracy

The team used acetonitrile to extract PAHs from food samples, then tested several purification strategies involving different combinations of sorbents. The method was validated across multiple food matrices, showing strong performance. Calibration curves for all eight PAHs had R2 values above 0.99, indicating a highly linear and reliable measurement system.

Further analysis using gas chromatography and mass spectrometry showed that the limits of detection ranged from 0.006 to 0.035 µg/kg, while the limits of quantification ranged from 0.019 to 0.133 µg/kg. Recovery rates were also strong, ranging from 86.3 to 109.6% at 5 µg/kg, 87.7 to 100.1% at 10 µg/kg, and 89.6 to 102.9% at 20 µg/kg. Precision values stayed between 0.4 and 6.9% across all tested food matrices.

The study also reported that, among the foods tested, the highest PAH levels were found in soybean oil, followed by duck meat and canola oil.

Prof. Lee explains, "This method not only simplifies the analytical process but also demonstrates high efficiency in detection compared to conventional methods. It can be applied to a wide range of food matrices."

Why PAHs Matter

PAHs can form when food is exposed to high temperatures or smoke. According to the National Cancer Institute, PAHs can develop when fat and juices from meat drip onto a hot surface or open flame, creating smoke that deposits these compounds onto the food. PAHs can also form during smoking and may be found in sources such as cigarette smoke and car exhaust fumes.

The NCI notes that PAHs and related high temperature cooking compounds have caused cancer in animal studies, although human population studies have not established a definitive link between exposure from cooked meats and cancer. This uncertainty is one reason more accurate measurement tools are valuable. Better testing can help regulators, researchers, and food companies understand where contamination is occurring and how it can be reduced.

Newer Research Points to Broader Use

Since the SeoulTech study, other researchers have continued refining QuEChERS based methods for PAH detection. A 2025 study in Foods developed a modified QuEChERS method with a freeze out step and applied it to 302 retail food samples. That work found the highest concentration of four priority PAHs in Kezuribushi, a smoked and dried fish product, and identified grilled chicken feet as a possible health concern based on the European Food Safety Authority margin of exposure approach.

Another 2025 study focused on cereals and cereal based products. Researchers developed a modified QuEChERS method using Z Sep⁺ clean up and gas chromatography with tandem mass spectrometry. In 96 cereal samples and 18 cereal based products from the Romanian market, only chrysene was quantified in 17% of cereal samples, while no PAHs were quantified in the derived products.

Together, these newer findings suggest that QuEChERS based approaches are becoming increasingly useful for different food categories, from oils and meats to smoked products and cereals. They also show why food specific testing matters, since PAH levels can vary widely depending on ingredients, processing, cooking methods, and environmental exposure.

Safer Food Testing and Cleaner Labs

For the food industry, a faster and more efficient PAH testing method could improve safety management by making it easier to inspect products before they reach consumers. The approach may also reduce costs and improve working conditions by cutting down on time consuming procedures and limiting the use of hazardous chemicals.

"Our research can improve public health by providing safe food. It also reduces the use and emission of hazardous chemicals in laboratory testing," concludes Prof. Lee.

The broader takeaway is clear: food safety testing is becoming faster, cleaner, and more precise. By improving how scientists detect PAHs, methods like QuEChERS could help identify hidden contaminants, support safer food production, and reduce chemical waste in the lab.

About Professor Joon Goo Lee

Joon Goo Lee is a Professor at the Department of Food Science and Biotechnology, Seoul National University of Science and Technology. He is an expert in food regulation and safety assessment. He served as a scientific officer at Korea's Ministry of Food and Drug Safety and as a visiting researcher at FSANZ. He is a member of the National Food Sanitation Committee and an expert for the FAO/WHO JECFA. He also serves as the executive director of the Korean food safety societies. His research focuses on risk assessment and the reduction of contaminants in food, contributing to science based policies and improved public health.

Journal Reference:

1. Jihun Jeong, Minju Koo, Joon-Goo Lee. QuEChERS method development for the GC–MS analysis of polycyclic aromatic hydrocarbons in food. Food Science and Biotechnology, 2025; 34 (12): 2749 DOI: 10.1007/s10068-025-01910-2

Courtesy:

Seoul National University of Science & Technology. "Scientists uncover cancer-causing chemicals hidden in everyday foods." ScienceDaily. ScienceDaily, 22 May 2026. <www.sciencedaily.com/releases/2026/05/260522030853.htm>.