Photoreceptor metabolic window unveils eye-body interactions.

Photoreceptors are specialized neurons at the core of the retina's functionality, with optical accessibility and exceptional sensitivity to systemic metabolic stresses. Here we show the ability of risk-free, in vivo photoreceptor assessment as a window into systemic health and identify shared metabolic underpinnings of photoreceptor degeneration and multisystem health outcomes. A thinner photoreceptor layer thickness is significantly associated with an increased risk of future mortality and 13 multisystem diseases, while systematic analyses of circulating metabolomics enable the identification of 109 photoreceptor-related metabolites, which in turn elevate or reduce the risk of these health outcomes.

PFOS-Induced Perturbations in Trophoblast Functions through the Oip5os1/miR-155/Rnd3 Axis in PE.

The widespread use of perfluorooctanesulfonic acid (PFOS) has raised concerns regarding its potential on pregnant women, particularly in relation to the development of pre-eclampsia (PE). This study investigates the impact of PFOS exposure on the LncRNA/Rnd3 axis in pregnant mice and its association with trophoblast cell functions in PE. Bioinformatics analysis revealed PFOS-related gene alterations in PE, with pathways enriched in apoptotic signaling and cytokine interactions.

Nitrous oxide analgesia for rehabilitation after anterior cruciate ligament reconstruction: A randomized controlled trial.

Background: Although there is increasing emphasis on rehabilitation training after ligament reconstruction, little is known about the pain induced by the procedure itself. Procedural success may be limited by pain and anxiety. Nitrous oxide is widely used to alleviate procedural pain.

Flexible Site-Specific Labeling-Mediated Self-Assembly Sensor Based on Quantum Dots and LUMinescent AntiBody Sensor for Duplexed Detection of Antibodies.

Over recent years, the LUMinescent AntiBody Sensor (LUMABS) system, utilizing bioluminescence resonance energy transfer (BRET), has emerged as a highly effective method for antibody detection. This system incorporates NanoLuc (Nluc) as the donor and fluorescent protein (FP) as the acceptor. However, the limited Stokes shift of FP poses a challenge, as it leads to significant spectral cross-talk between the excitation and emission spectra.

Prediction of PD-L1 tumor positive score in lung squamous cell carcinoma with H&E staining images and deep learning.

Background: Detecting programmed death ligand 1 (PD-L1) expression based on immunohistochemical (IHC) staining is an important guide for the treatment of lung cancer with immune checkpoint inhibitors. However, this method has problems such as high staining costs, tumor heterogeneity, and subjective differences among pathologists. Therefore, the application of deep learning models to segment and quantitatively predict PD-L1 expression in digital sections of Hematoxylin and eosin (H&E) stained lung squamous cell carcinoma is of great significance.