The Impact of Polyunsaturated Fatty Acids in Cancer and Therapeutic Strategies.

Purpose Of Review: Cancer is a disease influenced by both genetic and environmental factors, with dietary lipids being a significant contributing factor. This review summarizes the role of polyunsaturated fatty acids (PUFAs) in the mechanism of tumor occurrence and development, and elucidate the role of PUFAs in tumor treatment.

Recent Findings: PUFAs exert their impact on cancer through altering lipid composition in cell membranes, interacting with cell membrane lipid receptors, directly modulating gene expression in the cell nucleus, and participating in the metabolism of lipid mediators.

Gene print-based cell subtypes annotation of human disease across heterogeneous datasets with gPRINT.

Identification of disease-specific cell subtypes (DSCSs) has profound implications for understanding disease mechanisms, preoperative diagnosis, and precision therapy. However, achieving unified annotation of DSCSs in heterogeneous single-cell datasets remains a challenge. In this study, we developed the gPRINT algorithm (generalized approach for cell subtype Identification with single cell's voicePRINT).

Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning-Based Audio Enhancement: Algorithm Development and Validation.

Background: Deep learning techniques have shown promising results in the automatic classification of respiratory sounds. However, accurately distinguishing these sounds in real-world noisy conditions poses challenges for clinical deployment. In addition, predicting signals with only background noise could undermine user trust in the system.

Identification and Expression Analysis of the Soybean Serine Acetyltransferase () Gene Family Under Salt Stress.

Serine acetyltransferase (SAT) is a critical enzyme in the sulfur-assimilation pathway of cysteine, playing an essential role in numerous physiological functions in plants, particularly in their response to environmental stresses. However, the structural characteristics of the soybean gene family remain poorly understood. Members of the soybean gene family were identified using the Hidden Markov Model approach.

Sleep disturbances among older adults from the Russian Far East experiencing social loss: is there a sex difference?

Background: Maintaining sleep health in the elderly is of great significance for promoting health equity. The elderly usually experience more social losses, which may lead to many health problems. Few studies have revealed the relationship between social losses and sleep disturbance in the elderly.