Fibrosis is a chronic disease characterized by excessive extracellular matrix production, which leads to disruption of organ function. Fibroblasts are key effector cells of this process, responding chiefly to the pleiotropic cytokine transforming growth factor–β1 (TGF-β1), which promotes fibroblast to myofibroblast differentiation. We found that extracellular nutrient availability profoundly influenced the TGF-β1 transcriptome of primary human lung fibroblasts and that biosynthesis of amino acids emerged as a top enriched TGF-β1 transcriptional module. We subsequently uncovered a key role for pyruvate in influencing glutaminase (GLS1) inhibition during TGF-β1–induced fibrogenesis. In pyruvate-replete conditions, GLS1 inhibition was ineffective in blocking TGF-β1–induced fibrogenesis, as pyruvate can be used as the substrate for glutamate and alanine production via glutamate dehydrogenase (GDH) and glutamic-pyruvic transaminase 2 (GPT2), respectively. We further show that dual targeting of either GPT2 or GDH in combination with GLS1 inhibition was required to fully block TGF-β1–induced collagen synthesis. These findings embolden a therapeutic strategy aimed at additional targeting of mitochondrial pyruvate metabolism in the presence of a glutaminolysis inhibitor to interfere with the pathological deposition of collagen in the setting of pulmonary fibrosis and potentially other fibrotic conditions.
Greg Contento, Jo-Anne A.M. Wilson, Brintha Selvarajah, Manuela Platé, Delphine Guillotin, Valle Morales, Marcello Trevisani, Vanessa Pitozzi, Katiuscia Bianchi, Rachel C. Chambers
Usage data is cumulative from December 2024 through December 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 1,614 | 326 |
| 226 | 55 | |
| Figure | 802 | 2 |
| Supplemental data | 246 | 27 |
| Citation downloads | 73 | 0 |
| Totals | 2,961 | 410 |
| Total Views | 3,371 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.