Cells use their molecular architecture to regulate their metabolic functions, and repairing diseased cells' architecture to a healthier state can also repair metabolism, according to a study led by Harvard T.H. Chan School of Public Health researchers.
Chronic metabolic disease, which includes obesity, diabetes, and cardiovascular and liver diseases, is the biggest global public health problem. The fundamental regulatory mechanism that we discovered can be used to evaluate the susceptibility—or resistance—of individuals to a disease state like obesity, and determine what steps, such as diet, nutrients, or fasting, will reduce, eliminate, or exacerbate these states. We can imagine a whole new array of therapeutic strategies targeting molecular architecture, similar to the restoration of an ailing building or preventing its deterioration."
Gökhan Hotamışlıgil, James Stevens Simmons Professor of Genetics and Metabolism at Harvard Chan School and the director of the Sabri Ülker Center for Nutrient, Genetic, and Metabolic Research
The study was published online on March 9, 2022, in Nature.
Led by researchers Güneş Parlakgül and Ana Paula Arruda at the Sabri Ülker Center, the study compared liver samples from healthy, lean mice with samples from obese mice with fatty liver disease. Using multiple computational platforms—artificial intelligence, machine learning, deep learning, and neural networks—and high-resolution imaging using enhanced focused ion beam scanning electron microscopy, Parlakgül, Arruda, and colleagues from the Howard Hughes Medical Institute generated three-dimensional reconstructions of specialized structures, called organelles, inside cells and made a comparative analysis of organelle architecture and organization of liver cells from lean and obese samples. Through these analyses, the team determined that obesity leads to dramatic alterations in subcellular molecular architecture, particularly in the endoplasmic reticulum (ER), an organelle involved in the creation and shaping of proteins and lipids.
The team then partially restored the ER's structure using technologies that can repair molecules and proteins that can reshape cellular membranes—which also repaired the cells' metabolism. The restored cells looked normal, controlled lipid and glucose metabolism much better, and remained stress free and more responsive to stimuli.
"The outcome was really striking—when structure is repaired, so is the cell's metabolism," said Arruda. "What we are describing here is a whole new way of controlling metabolism by regulating molecular architecture, which is critical for health and disease."
The images produced from this research are also the most detailed visualization to date of subcellular structures while the cells are still intact in their tissue environment. Other researchers have created similar imaging before, but mostly in single cells or in culture.
"High-resolution imaging and deep-learning-based analysis helped us to see that structural regulation of intracellular environment and organelle architecture is a key component of metabolic adaptation. Targeting this regulation may hold therapeutic opportunities to treat metabolic diseases such as diabetes and fatty liver disease," said Parlakgül.
For Hotamışlıgil, the visuals are astonishing. "I was first mesmerized with the complexity, beauty, and harmony of the constructions in the extremely crowded internal space of a cell," he said. "This is like watching an artistic masterpiece while traveling into the center of a cell."
This research was supported by the Sabri Ülker Center at Harvard Chan School.
Harvard T.H. Chan School of Public Health
Parlakgül, G., et al. (2022) Regulation of liver subcellular architecture controls metabolic homeostasis. Nature. doi.org/10.1038/s41586-022-04488-5.
Posted in: Molecular & Structural Biology | Cell Biology
Tags: Artificial Intelligence, Cell, Chronic, Deep Learning, Diabetes, Diet, Education, Electron, Electron Microscopy, Fasting, Fatty Liver, Genetic, Genetics, Global Health, Glucose, Glucose Metabolism, Health Care, Heart, Imaging, Intracellular, Ion, Laboratory, Lipids, Liver, Liver Disease, Machine Learning, Metabolic Disease, Metabolism, Microscopy, Nutrients, Nutrition, Obesity, Organelle, Public Health, Research, Stress, students
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