Overview
Integrated Study of the Inflammation–Fibrosis–Cancer Axis
I. Inflammation: Autoimmune Diseases Induced by mtDNA Release
II. Fibrosis: Regulatory Mechanisms of Liver Fibrosis
III. Cancer: Drug Discovery for Metastatic Cancer
With the advent of translational research, the field of biomedical science has been evolving beyond the mechanistic understanding of biological phenomena and disease pathogenesis, advancing toward an innovative and integrative form of future medicine aimed at treating previously intractable diseases. Alongside this scientific progress, the hypothesis that inflammation serves as a common origin for autoimmune diseases, metabolic disorders, and cancer has gained widespread support.
Our laboratory was among the first to identify that mitochondrial damage, triggered by various forms of stress, can act as a primary driver of inflammatory responses. Building on this foundational discovery, we are leading diverse research efforts to develop novel therapeutic strategies targeting inflammation in the context of autoimmune disorders, metabolic diseases, and cancer.
Mitochondrial DNA (mtDNA) is normally kept within the mitochondria. It can be released into the cytosol in response to stress and thus encounter cytosolic DNA sensors, triggering type I interferon responses. During apoptosis, mtDNA release is mediated by macropores in the mitochondrial outer membrane (MOM) created by oligomerization of the proteins BAX and BAK. Our lab found that during oxidative stress, mtDNA escapes instead through macropores formed by oligomerization of voltage-dependent anion channels (VDACs). In a mouse model of lupus, an inhibitor of VDAC oligomerization diminished mtDNA release and downstream signaling events. This treatment reduced lupus-like symptoms in the model, suggesting a potential therapeutic route for conditions mediated by mtDNA release.
Chronic inflammation-induced injury drives tissue fibrosis, compromising organ parenchyma and potentially leading to organ failure. Liver fibrosis resulting from chronic hepatitis is a well-known example of this process. Our lab discovered that mtDNA released into the cytosol under stress acts as an upstream trigger of fibrosis. We identified a novel protein that is activated by mtDNA and promotes the expression of inflammatory and fibrogenic genes, particularly in hepatic stellate cells—the main effectors of liver fibrosis.In a mouse model, inhibiting this protein reduced both inflammation and extracellular matrix accumulation. These findings reveal a previously unrecognized mitochondrial pathway driving fibrosis and suggest new therapeutic strategies targeting mtDNA-induced signaling.
This multidisciplinary project brings together experts in artificial intelligence (AI), single-cell genomics, and clinical data–driven drug screening to develop precision therapeutics for metastatic and treatment-resistant cancers. With the rapid expansion of next-generation sequencing, multi-omics data from cancer patients are growing exponentially, highlighting the critical role of AI in extracting clinically meaningful insights. Our lab utilizes AI-powered platforms to analyze complex biological data, identify molecular features of cancer cells and their microenvironment, and discover novel therapeutic targets. These targets are functionally validated through high-resolution single-cell analysis of patient samples. We then apply a drug repositioning strategy using FDA-approved compound libraries to rapidly identify safe and effective therapeutic candidates. This integrated pipeline bridges data-driven target discovery with experimental validation, accelerating the development of personalized anticancer therapies for patients with advanced and relapsed cancers.