Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by excessive ECM deposition and myofibroblast accumulation driven by cytokine dysregulation. This study identified granulocyte colony-stimulating factor 3 (CSF3) as a key mediator of IPF progression. Elevated CSF3 expression was observed in the lung tissues of IPF patients. Recombinant CSF3 promoted myofibrogenesis in lung fibroblasts, whereas CSF3-deficient mice were protected from bleomycin-induced pulmonary fibrosis. Treatment with novel CSF3-neutralizing antibodies significantly restored fibrosis in IPF mice by suppressing myofibroblast differentiation and reducing ECM deposition. Here, we demonstrated a reciprocal regulatory relationship between CSF3 and TGF-β that amplifies pro-fibrotic signaling. Our mechanistic studies revealed that CSF3 acts as an upstream regulator of TGF-β, forming a positive feedback loop that significantly accelerates the fibrotic process. Knockout or neutralization of CSF3 suppressed fibrosis by reducing TGF-β levels, whereas treatment with recombinant CSF3 promoted fibrosis with increased TGF-β expression. Notably, while CSF3 inhibition reduced TGF-β expression levels, it did not decrease them below normal levels. This finding suggests that inhibiting CSF3 could simultaneously reduce fibrosis by suppressing excessive TGF-β expression while also minimizing side effects by maintaining TGF-β homeostasis. Taken together, these results provide strong evidence that CSF3 is a critical driver of IPF pathogenesis and that targeting CSF3 may provide a therapeutic strategy by modulating TGF-β signaling and restoring the ECM and cellular homeostasis.

Yarn sensors have shown promising application prospects in wearable electronics owing to their shape adaptability, good flexibility, and weavability. However, it is still a critical challenge to develop simultaneously structure stable, fast response, body conformal, mechanical robust yarn sensor using full microfibers in an industrial-scalable manner. Herein, a full-fiber auxetic-interlaced yarn sensor (AIYS) with negative Poisson's ratio is designed and fabricated using a continuous, mass-producible, structure-programmable, and low-cost spinning technology. Based on the unique microfiber interlaced architecture, AIYS simultaneously achieves a Poisson's ratio of-1.5, a robust mechanical property (0.6 cN/dtex), and a fast train-resistance responsiveness (0.025 s), which enhances conformality with the human body and quickly transduce human joint bending and/or stretching into electrical signals. Moreover, AIYS shows good flexibility, washability, weavability, and high repeatability. Furtherly, with the AIYS array, an ultrafast full-letter sign-language translation glove is developed using artificial neural network. The sign-language translation glove achieves an accuracy of 99.8% for all letters of the English alphabet within a short time of 0.25 s. Furthermore, owing to excellent full letter-recognition ability, real-time translation of daily dialogues and complex sentences is also demonstrated. The smart glove exhibits a remarkable potential in eliminating the communication barriers between signers and non-signers.