IPF
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Related Articles from SNS
Alveolar Epithelial Cell Loss of the Mitochondrial Regulator TFAM Drives Progressive Lung Fibrosis
Idiopathic pulmonary fibrosis (IPF) is characterized by failed alveolar epithelial repair and progressive fibrotic remodeling. Although aberrant reprogramming of alveolar type 2 (AT2) cells and accumulation of transitional AT2 states are increasing recognized as central features of IPF, the epithelial-intrinsic mechanisms that initiate these pathogenic states remain incompletely understood. Here, we identify mitochondrial transcription factor A (TFAM), a regulator of mitochondrial DNA...
O-GlcNAc transferase regulates H2O2 production via p38 MAPK
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease characterized by augmented transforming growth factor-{beta} (TGF-{beta}) signaling leading to excessive extracellular matrix (ECM) deposition. The fibroblast-to-myofibroblast-transition (FMT) and metabolic reprogramming of lung fibroblasts (HLFs) are essential to IPF pathogenesis, yet the connection between nutrient metabolism and fibrogenesis remains poorly defined. The O-linked N-acetylglucosamine (O-GlcNAc)...
Alveolar niche disruption and aberrant epithelial reprogramming are early hallmarks of idiopathic pulmonary fibrosis
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease in which the earliest cellular events driving fibrosis remain poorly defined. Here, we analyzed lung samples from three independent and unique cohorts of patients with early disease and preserved lung function (Florence, NIH, Forli), applying an integrated multimodal approach combining single-nucleus RNA sequencing, bulk transcriptomics, immunostaining, and spatial transcriptomics. Single-nuclear RNA sequencing of...
Intrinsic Selection and Particle Resampling for Inference-Time Scaling Beyond Domain Verifiability
Announce Type: new Abstract: Inference-Time Scaling (ITS) has largely succeeded in verifiable domains like math and coding, where cheap verification enables scalable output selection. However, extending ITS to tasks prone to systematic failure - driven by faulty initial assumptions or unmet multidimensional constraints - typically relies on costly external solvers or brittle, model-based verifiers. Our key insight is that the intrinsic statistics of parallel sample sets, specifically...
It does what it says on the tin: safe synthetic data from coarsened margins
arXiv:2606.02101v1 Announce Type: cross Abstract: This paper proposes a method of creating synthetic data (SD) that will have two important advantages for the user compared to other methods currently available. The first is transparency; unlike other methods, the person in receipt of the SD will know which of the relationships between variables in the original data will be approximately maintained in the SD. The second is a guarantee that the SD is derived from information that has already...
ZIPP:Zero-shot Image Personalization from Personas
arXiv:2606.08841v1 Announce Type: new Abstract: Text-to-image diffusion models are increasingly deployed in open-ended creative contexts, yet their outputs remain impersonal, optimized for aggregate aesthetics rather than individual taste. Human preferences are pluralistic: one user favoring muted, nostalgic portraits may prefer vibrant street photography, while another gravitates toward dreamy film aesthetics. Existing methods require dense interaction histories or per-user fine-tuning,...