New insights into the mechanism of reactive oxygen species in promoting endometriosis progression
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Dec-2025 02:11 ET (21-Dec-2025 07:11 GMT/UTC)
A new study uncovers a crucial molecular pathway that enables endometrial cells to survive oxidative stress, fueling endometriosis progression. Researchers found the CHK1/SGK1 axis plays a pivotal role in promoting cell survival and aging resistance, presenting promising therapeutic targets. Antioxidants and CHK1/SGK1 specific inhibitors demonstrated potential in reducing lesions, offering hope for improved treatments on endometriosis.
Mitochondria integrally influence plant growth, fertility and adaptation. Notably, multiple chromosomal configurations are present in Saccharum complex mitogenomes. There are substantial genomic reorganization and gene transfer events throughout evolution.
The multidrug-resistant pathogen Acinetobacter baumannii (A. baumannii) is a global health concern. Its surface capsular polysaccharides and lipopolysaccharides, which are structurally diverse and often contain rare, non-classical sugars, are major virulence factors. These glycans represent promising targets for novel therapeutics. Notably, glycoconjugate vaccines based on these structures elicit protective antibodies and confer effective immunity in animal models, highlighting their potential for combating infections.
GPI anchoring is indispensable for cell-wall integrity and full virulence of the maize pathogen Cochliobolus heterostrophus. Deletion of ChGPI7 or ChFEM1 crippled appressorium formation, exposes chitin, and triggers host immune detection. A total of 124 potential GPI-anchored proteins were predicted, indicating that this pathway may serve as a potential antifungal target.
Functionalized single-walled carbon nanotubes (SWCNTs) effectively delivered the amh/amhy plasmid into all-female mandarin fish via immersion. At 40 mg/L, plasmid DNA and transcripts were detected in gonads within 7-14 days. By 60-120 days, some fish developed masculinized gonads with downregulated foxl2/cyp19a1a and upregulated amh/dmrt1. The study demonstrates SWCNTs as a viable gene delivery tool in fish and confirms the crucial role of amh/amhy in sex determination via the amhrII/smads pathway activating dmrt1.
Researchers at the University of Windsor developed SH17, a large open-source dataset with 8,099 images and 75,994 labeled instances to improve detection of personal protective equipment (PPE) in manufacturing. Using advanced AI models like YOLOv9, the study achieved over 70% accuracy, offering industries a scalable tool to enhance worker safety and compliance.
A research team from Fudan University has developed a hydrogel technology based on microenvironment-responsive mechanisms. The material can sense pH changes in the wound environment and dynamically release functional agents, enabling a switch from antibacterial action to tissue repair. Constructed from an interpenetrating network of sodium alginate and carboxymethyl chitosan, and loaded with tannic acid and zinc-doped bioactive glass, the hydrogel rapidly releases antibacterial molecules during infection and gradually delivers regenerative ions during healing—achieving, for the first time, precise, stage-specific control of infected wound treatment.
Glycolipid metabolic disorders, linked to cardiovascular diseases and cancer, are a major global health challenge. Current single-disease treatments remain unsatisfied in reducing long-term risks. In 2024, Professor Jiao Guo along with global experts launched the "Global Initiative for Glycolipid Metabolic Health" to enhance prevention through scientific research, public education, and integrated management systems.
Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators (CMM) due to high redundancies. To this end, this paper proposed a reactive whole-body locomotion-integrated manipulation approach based on combined learning and optimization. First, human demonstrations are collected, where the wrist and pelvis movements are treated as whole-body trajectories, mapping to the end-effector (EE) and the mobile base (MB) of CMM, respectively. A time-input kernelized movement primitive (T-KMP) learns the whole-body trajectory, and a multi-dimensional kernelized movement primitive (M-KMP) learns the spatial relationship between the MB and EE pose. According to task changes, the T-KMP adapts the learned trajectories online by inserting the new desired point predicted by M-KMP. Then, the updated reference trajectories are sent to a hierarchical quadratic programming (HQP) controller, where the EE and the MB trajectories tracking are set as the first and second priority tasks, generating the feasible and optimal joint level commands. An ablation simulation experiment with CMM of the HQP is conducted to show the necessity of MB trajectory tracking in mimicking human whole-body motion behavior. Finally, the tasks of the reactive pick-and-place and reactive reaching were undertaken, where the target object was randomly moved, even out of the region of demonstrations. The results showed that the proposed approach can successfully transfer and adapt the human whole-body loco-manipulation skills to CMM online with task changes.