Cross-trait multivariate GWAS confirms health implications of pubertal timing.

Pubertal timing is highly variable and is associated with long-term health outcomes. Phenotypes associated with pubertal timing include age at menarche, age at voice break, age at first facial hair and growth spurt, and pubertal timing seems to have a shared genetic architecture between the sexes. However, puberty phenotypes have primarily been assessed separately, failing to account for shared genetics, which limits the reliability of the purported health implications.

Plasma N-terminal tau fragment is an amyloid-dependent biomarker in Alzheimer's disease.

Introduction: Novel fluid biomarkers for tracking neurodegeneration specific to Alzheimer's disease (AD) are greatly needed.

Methods: Using two independent well-characterized cohorts (n = 881 in total), we investigated the group differences in plasma N-terminal tau (NT1-tau) fragments across different AD stages and their association with cross-sectional and longitudinal amyloid beta (Aβ) plaques, tau tangles, brain atrophy, and cognitive decline.

Results: Plasma NT1-tau significantly increased in symptomatic AD and displayed positive associations with Aβ PET (positron emission tomography) and tau PET.

Improved positioning in robotic assisted laparoscopic partial nephrectomy using the EDGE MP1000 surgical robot.

This study investigated the impact of an improved body positioning on the effectiveness of EDGE MP1000 robot-assisted laparoscopic partial nephrectomy. We compared clinical data from 39 patients who underwent the procedure at Zhujiang Hospital of Southern Medical University between November 2023 and May 2024. The control group (18 patients) received conventional positioning, while the experimental group (21 patients) received precise positioning, which included patient assessments, optimized positioning techniques, and enhanced nursing measures.

ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning.

Liquid chromatography retention time (RT) prediction plays a crucial role in metabolite identification, a challenging and essential task in untargeted metabolomics. Accurate molecular representation is vital for reliable RT prediction. To address this, we propose a novel molecular representation learning framework, ABCoRT(tom-ond -learning for etention ime prediction), designed for predicting metabolite retention times.

Safety and efficacy of mecapegfilgrastim in preventing neutropenia in patients with head and neck cancer: a multicenter, prospective, observational, real-world study.

Background: Mecapegfilgrastim, a long-acting granulocyte colony-stimulating factor, is approved in China for neutropenia prevention. However, data on its safety and efficacy in patients with head and neck cancer remain limited. This study aimed to evaluate the safety and efficacy of mecapegfilgrastim in preventing neutropenia among these patients undergoing chemotherapy, particularly those receiving chemoradiotherapy or chemoimmunotherapy.