A newly created cell model of the amniotic sac could reveal new insights into early pregnancy, as well as generate helpful products for medical use.
Category: biotech/medical – Page 267
DunedinPACNI estimates the longitudinal Pace of Aging from a single brain image to track health and disease
Differences in the Pace of Aging are important for many health outcomes but difficult to measure. Here the authors describe the Dunedin Pace of Aging Calculated from NeuroImaging measure, an approach that uses a single brain image to measure how fast a person is aging and can help predict mortality or the risk of developing chronic disease.
AI-assisted technique can measure and track aging cells
A combination of high-resolution imaging and machine learning, also known as artificial intelligence (AI), can track cells damaged from injury, aging, or disease, and that no longer grow and reproduce normally, a new study shows.
These senescent cells are known to play a key role in wound repair and aging-related diseases, such as cancer and heart disease, so tracking their progress, researchers say, could lead to a better understanding of how tissues gradually lose their ability to regenerate over time or how they fuel disease. The tool could also provide insight into therapies for reversing the damage.
The study included training a computer system to help analyze animal cells damaged by increasing concentrations of chemicals over time to replicate human aging. Cells continuously confronted with environmental or biological stress are known to senesce, meaning they stop reproducing and start to release telltale molecules indicating that they have suffered injury.
Permanent retention of exceptional trees can improve ecosystem integrity in managed forests
Even-aged forest management is geared towards timber production with ecosystem health as a lesser consideration. This creates a dichotomy where forests are treated either as plantations or reserves. Uneven-aged management can bring compromise to conflicting land uses by reducing ecosystem impacts while still allowing timber extraction. Whereas selection forestry focuses on which trees are taken, retention forestry focuses on protecting features that will remain after logging. These biological legacies provide ecosystem continuity.
Retained trees are often chosen based on their habitat value. Snags and living trees that are diseased, damaged, or dying provide cavities, decaying wood, and other microhabitats for a diversity of biota. Defects that make high-quality habitat trees tend to cause the collapse of large and old trees, so it’s important to designate healthy recruitment trees for the future. Retention forestry that focuses only on habitat trees may be inconsistent with the goals of long-term carbon storage and ecosystem resilience.
An article just published in Forest Ecology and Management explores the idea of “exceptional trees” and why we might consider choosing a subset of the most robust trees for permanent retention in managed forests. We present methods for precisely estimating aboveground biomass across the landscape and assess the contribution of exceptional trees to biomass and productivity. Our study focuses on Sequoia sempervirens (redwood) in California’s Demonstration State Forests.
Inflammasome Molecular Insights in Autoimmune Diseases
Autoimmune diseases (AIDs) emerge due to an irregular immune response towards self- and non-self-antigens. Inflammation commonly accompanies these conditions, with inflammatory factors and inflammasomes playing pivotal roles in their progression. Key concepts in molecular biology, inflammation, and molecular mimicry are crucial to understanding AID development. Exposure to foreign antigens can cause inflammation, potentially leading to AIDs through molecular mimicry triggered by cross-reactive epitopes. Molecular mimicry emerges as a key mechanism by which infectious or chemical agents trigger autoimmunity. In certain susceptible individuals, autoreactive T or B cells may be activated by a foreign antigen due to resemblances between foreign and self-peptides. Chronic inflammation, typically driven by abnormal immune responses, is strongly associated with AID pathogenesis. Inflammasomes, which are vital cytosolic multiprotein complexes assembled in response to infections and stress, are crucial to activating inflammatory processes in macrophages. Chronic inflammation, characterized by prolonged tissue injury and repair cycles, can significantly damage tissues, thereby increasing the risk of AIDs. Inhibiting inflammasomes, particularly in autoinflammatory disorders, has garnered significant interest, with pharmaceutical advancements targeting cytokines and inflammasomes showing promise in AID management.
Novel Gene Therapy Trial for Sickle Cell Disease Launches
UCSF Benioff Children’s Hospital Oakland is enrolling patients in an innovative clinical trial that seeks to cure sickle cell disease. The trial is the first in the U.S. to apply non-viral CRISPR-Cas9 gene-editing technology in humans to directly correct the genetic mutation that causes the disease.
Data mining uncovers treasure-trove of previously ‘untouchable’ proteins for drug development
Molecular glues, tiny molecules that connect one protein to another, are promising targets for pharmaceutical research. By linking a disease-related protein to one that triggers a cell’s demolition and recycling pathways, pharmaceutical researchers have been able to develop novel therapies for otherwise drug-resistant diseases.
It was thought, however, that this approach to drug development was limited to only those proteins that had a specific surface feature called a beta-hairpin loop motif.
Expanding on this once-narrow discovery space, new research published in the journal Science has uncovered a vastly wider array of protein surface features capable of binding with a molecular glue degrader (a pharmaceutical version of a molecular glue molecule). These results may open new pathways for treating diseases by targeting proteins previously thought to be ‘untouchable’ to drug therapies.
Adults with autism show similar brain mapping of body parts as typically developing adults
Autism spectrum disorder (ASD), a neurodevelopmental condition, is often associated with difficulties in social communication and repetitive behavior. Previous research reveals that people with ASD often find it challenging to interpret intentions from body language and have difficulty recognizing faces and emotions, which may contribute to their social communication problems.
Scientists speculate that these challenges might arise from differences in how the brain perceives faces and body parts, i.e., how individuals with ASD represent the human body. However, until now, no study had clearly mapped how body parts are represented in the brains of adults with autism or whether that organization differs from normal or typically developing (TD) adults.
In a detailed neuroimaging study involving adults in Japan, researchers addressed this knowledge gap by examining how ASD represents body parts in the brain. This study was published in the journal Imaging Neuroscience. A team of researchers used functional magnetic resonance imaging (fMRI) to compare brain activity patterns in adults with ASD and TD adults as they viewed images of body parts.