Stem Cell Therapies and Ageing: Unlocking the Potential of Regenerative Medicine.

A multifaceted biological process of ageing culminates in the gradual decline of tissue and organ functions, escalating vulnerability to age-related diseases. Stem cell therapies, standing at the frontier of regenerative medicine, hold the potential to mitigate the challenges induced by ageing. By harnessing the unique regenerative capabilities of stem cells, these therapies aim to renew and heal ageing or damaged cells and tissues, thereby bolstering their function.

Integrated proteomic and transcriptomic landscape of human placenta in small for gestational age infants.

Small for gestational age (SGA) infants affected by placental insufficiency are exposed to the risk of stillbirth and long-term complications. Based on RNA-seq and mass spectrometry, we identified dysregulated RNAs and proteins from the comparisons of SGA placental tissues and controls. We revealed two SGA-relevant co-expression modules (SRMs) that also significantly distinguished SGA from controls.

Targeted isolation and AI-based analysis of edible fungal polysaccharides: Emphasizing tumor immunological mechanisms and future prospects as mycomedicines.

Edible fungal polysaccharides have emerged as significant bioactive compounds with diverse therapeutic potentials, including notable anti-tumor effects. Derived from various fungal sources, these polysaccharides exhibit complex biological activities such as antioxidant, immune-modulatory, anti-inflammatory, and anti-obesity properties. In cancer therapy, members of this family show promise in inhibiting tumor growth and metastasis through mechanisms like apoptosis induction and modulation of the immune system.

Fabrication of nanogels to improve the toxicity and persistence of cycloxaprid against Diaphorina citri, the vector of citrus huanglongbing.

Introduction: Diaphorina citri is the most serious pest of citrus worldwide because it is the natural insect vector of huanglongbing. Cycloxaprid (Cyc) was highly toxic to D. citri.

Diabetic retinopathy screening with confocal fundus camera and artificial intelligence - assisted grading.

Purpose: Screening for diabetic retinopathy (DR) by ophthalmologists is costly and labour-intensive. Artificial Intelligence (AI) for automated DR detection could be a clinically and economically alternative. We assessed the performance of a confocal fundus imaging system (DRSplus, Centervue SpA), coupled with an AI algorithm (RetCAD, Thirona B.