A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma.

Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.

Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).

Altered 3D genome reorganization mediates precocious myeloid differentiation of aged hematopoietic stem cells in inflammation.

Inflammation is a driving force of hematopoietic stem cells (HSCs) aging, causing irreversible exhaustion of functional HSCs. However, the underlying mechanism of HSCs erosion by inflammatory insult remains poorly understood. Here, we find that transient LPS exposure primes aged HSCs to undergo accelerated differentiation at the expense of self-renewal, leading to depletion of HSCs.

Mechanism of microplastics in the reduction of cadmium toxicity in tomato.

Soil pollution by microplastics (MPs) and cadmium (Cd) poses significant threats to agricultural production, yet their combined toxicity and underlying mechanisms remain poorly understood. Here, we examined the effects of three types of MPs-polyethylene (PE), polyvinyl chloride (PVC) and polypropylene (PP)-with particle sizes of 150 μm and 10 μm, in combination with Cd stress (5 mg/kg) on tomato (Solanum lycopersicum L.) growth.

The immune microenvironment related biomarker CCL18 for patients with gout by comprehensive analysis.

In the present study, we uncovered and validated potential biomarkers related to gout, characterized by the accumulation of sodium urate crystals in different joint and non-joint structures. The data set GSE160170 was obtained from the GEO database. We conducted differential gene expression analysis, GO enrichment assessment, and KEGG pathway analysis to understand the underlying processes.