Unveiling new therapeutic horizons in rheumatoid arthritis: an In-depth exploration of circular RNAs derived from plasma exosomes.

Rheumatoid arthritis (RA), a chronic inflammatory joint disease causing permanent disability, involves exosomes, nanosized mammalian extracellular particles. Circular RNA (circRNA) serves as a biomarker in RA blood samples. This research screened differentially expressed circRNAs in RA patient plasma exosomes for novel diagnostic biomarkers.

The effects of the positioning of a bolt in the femoral neck system on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures.

Background: To analyze the effects of the positioning of a bolt in the femoral neck system (FNS) on the short-term outcomes of middle-aged and young adults with displaced femoral neck fractures (FNFs).

Methods: This was a retrospective study involving 114 middle-aged and young adults with displaced FNFs who were surgically treated with internal fixation via the FNS in the Department of Orthopedics, Suzhou Municipal Hospital, from December 2019 to January 2023. The degree of deviation of the central axis of the femoral head and neck from the tip of the bolt (W), the tip‒apex distance (TAD) and the length of femoral neck shortening (LFNS) were measured on postoperative X-ray and computed tomography (CT) scan images.

3D-AttenNet model can predict clinically significant prostate cancer in PI-RADS category 3 patients: a retrospective multicenter study.

Purposes: The presence of clinically significant prostate cancer (csPCa) is equivocal for patients with prostate imaging reporting and data system (PI-RADS) category 3. We aim to develop deep learning models for re-stratify risks in PI-RADS category 3 patients.

Methods: This retrospective study included a bi-parametric MRI of 1567 consecutive male patients from six centers (Centers 1-6) between Jan 2015 and Dec 2020.

Copper excess induces autophagy dysfunction and mitochondrial ROS-ferroptosis progression, inhibits cellular biosynthesis of milk protein and lipid in bovine mammary epithelial cells.

Excessive copper (Cu) has the potential risk to ecosystems and organism health, with its impact on dairy cow mammary glands being not well-defined. This study used a bovine mammary epithelial cell (MAC-T) model to explore how copper excess affects cellular oxidative stress, autophagy, ferroptosis, and protein and lipid biosynthesis in milk. Results showed the increased intracellular ROS, MDA, and CAT (P < 0.

Dynamic graph based weakly supervised deep hashing for whole slide image classification and retrieval.

Recently, a multi-scale representation attention based deep multiple instance learning method has proposed to directly extract patch-level image features from gigapixel whole slide images (WSIs), and achieved promising performance on multiple popular WSI datasets. However, it still has two major limitations: (i) without considering the relations among patches, thereby possibly restricting the model performance; (ii) unable to handle retrieval tasks, which is very important in clinic diagnosis. To overcome these limitations, in this paper, we propose a novel end-to-end MIL-based deep hashing framework, which is composed of a multi-scale representation attention based deep network as the backbone, patch-based dynamic graphs and hashing encoding layers, to simultaneously handle classification and retrieval tasks.