HMGB1 as a key mediator in liver disease pathogenesis
Liver diseases, both acute and chronic, continue to pose significant clinical challenges due to high morbidity and mortality rates. Acute ...
Tag: Fibrosis
Investigating the relationship between COPD and liver disease in alpha-1 antitrypsin deficiency
Background and aims Alpha-1 antitrypsin deficiency (AATD) is a genetic disorder characterized by the misfolding and accumulation of the mutant ...
Study sheds light on mechanisms behind liver fibrosis and potential therapies
New research from the University of Pittsburgh School of Pharmacy sheds light on the processes that lead to liver fibrosis ...
Cellular sludge around hunger neurons linked to worsening diabetes and obesity
Researchers uncover how the buildup of extracellular matrix proteins and sugars prevents insulin from reaching hunger-regulating neurons, leading to disrupted ...
Study reveals key signaling pathways driving lung cancer metastasis
When it comes to cancer metastasis, it takes two to tango. That was one of the key findings of a ...
Inflammation may not be key to fighting liver fibrosis in MAFLD
Researchers at UCLA Health uncovered new information about the role inflammation plays in mitigating liver fibrosis, which is associated with ...
Regulatory T cells exist as large, mobile population that travels through body to repair damaged tissue
In a recent study published in Immunology, researchers investigated populations of regulatory T cells (Treg), a type of white blood ...
Human mini-lungs mimic animal response to nanomaterials
Human mini-lungs grown by University of Manchester scientists can mimic the response of animals when exposed to certain nanomaterials. The ...
Understanding the mechanisms behind cystic fibrosis infections
Cystic fibrosis is a genetic disease that causes serious and sometimes fatal respiratory and digestive disorders. A new treatment, available ...
UVA research could help identify COVID-19 survivors at risk for long-haul lung problems
UVA Health researchers have discovered a potential way to predict which patients with severe COVID-19 are likely to recover well ...
