Histone lactylation plays a crucial role in cancer progression, but its impact on breast cancer (BC) tumorigenesis is still unclear. We utilized chromatin immunoprecipitation sequencing with H3K18la antibodies, transcriptomics of clinical BC samples, and proteomics and ATAC-seq analyses of in vivo tumors to identify the genes regulated by H3K18la and the transcription factor PPARD. qPCR and Western blot assays were used to detect expressions of molecules. We discovered that H3K18la levels were higher in BC tissues compared to adjacent non-cancerous tissues. H3K18la promoted the expression of PPARD, which in turn influenced the transcription of AKT, but not ILK. ATAC-seq analysis revealed that glycolysis in BC cells enhanced chromatin accessibility. Additionally, we confirmed that HDAC2 and HDAC3 act as “erasers” for H3 lysine lactylation. During the proteomics analysis, AKT-phosphorylation in the aerobic respiration inhibitor group exhibited an apparent disparity and activity. Our study demonstrated that changes in H3K18la in BC and its downstream transcription factor PPARD support cell survival under anaerobic glycolysis conditions. PPARD accelerated cancer proliferation by promoting the transcription and phosphorylation of AKT. This highlights the therapeutic potential of targeting the H3K18la/PPARD/AKT axis in breast cancer, providing new insights into epigenetic regulation and cancer metabolism (Trial registration: The study was approved by the Research Ethics Committee Shandong Provincial Third Hospital (KYLL-2023057; https://www.medicalresearch.org.cn/)).

Purpose: To evaluate the effect of ultrasound-guided quadratus lumborum block (QLB) preemptive analgesia on recovery in colon cancer patients undergoing open radical surgery and provide reference for its clinical application. Methods: From July 2019 to June 2020, according to the anesthesia method, 56 patients who received open radical colon surgery were divided into two groups: Group Q (n=27), which received QLB combined general anesthesia, and Group C (n=29), which received general anesthesia only. Both groups were given self-controlled intravenous analgesia pump after surgery. The primary outcome is a series of parameters representing postoperative recovery. The secondary outcome was VAS scores and opioid consumption. Results: The first time of getting up, flatus, taking semi-liquid diet and the postoperative hospital stay in Group Q were significantly reduced (P<0.01). The rest and active VAS scores were significantly lower in Group Q (P<0.01). The opioids consumption was significantly decreased in Group Q (P<0.05). Conclusion: The application of ultrasound-guided QLB preemptive analgesia in open radical colon cancer surgery can significantly enhance the postoperative analgesia effect, reduce opioid consumption, and accelerate the postoperative recovery of the patients. Clinical Trial Registration Number: The Chinese Clinical Trial Registry (ChiCTR2000034824).

High-quality fundus images are critical for clinical diagnosis, yet real-world acquisition challenges often introduce multi-component degradations. Current deep learning methods typically address single degradations, lacking a unified handling of complex scenarios. In this paper, we propose the Multi-degradation Fundus Image Restoration Network (MFR-Net), an all-in-one restoration framework integrating frequency-aware prompt learning. MFR-Net comprehensively extracts the frequency domain features of different degradation components, and injects them into the backbone network through designed prompt generation and interaction modules. Furthermore, to enhance the model’s domain generalization capability, the unsupervised domain adaptation is incorporated into a more reliable perceptual and image quality-oriented space for domain alignment. Extensive experimental results demonstrate that the proposed method outperforms several state-of-the-art models in the restoration of degraded retinal images, especially in the restoration of complex degradations in real images, where the quantitative indicators have been improved by up to 5.42% compared with SOTA algorithms.