Multi-modal analysis reveals tumor and immune features distinguishing EBV-positive and EBV-negative post-transplant lymphoproliferative disorders.

The oncogenic Epstein-Barr virus (EBV) can drive tumorigenesis with disrupted host immunity, causing malignancies including post-transplant lymphoproliferative disorders (PTLDs). PTLD can also arise in the absence of EBV, but the biological differences underlying EBV(+) and EBV(-) B cell PTLD and the associated host-EBV-tumor interactions remain poorly understood. Here, we reveal the core differences between EBV(+) and EBV(-) PTLD, characterized by increased expression of genes related to immune processes or DNA interactions, respectively, and the augmented ability of EBV(+) PTLD B cells to modulate the tumor microenvironment through elaboration of monocyte-attracting cytokines/chemokines.

Predictive Factors of Short Inpatient Stay Following Total Knee Replacement.

Introduction: Enhanced Recovery after Surgery (ERAS) protocols adopt a multidisciplinary approach in perioperative care to reduce Length of Stay (LOS). This study aims to identify predictive factors resulting in short-stay following TKR with an ERAS programme.

Methods: Retrospective analysis was performed on a consecutive series of patients who underwent unilateral TKR by a single surgeon in a tertiary institution between August 2019 and December 2021.

Harnessing full-text publications for deep insights into C. elegans and Drosophila biomaps.

In the rapidly expanding domain of scientific research, tracking and synthesizing information from the rapidly increasing volume of publications pose significant challenges. To address this, we introduce a novel high-throughput pipeline that employs ChatGPT to systematically extract and analyze connectivity information from the full-texts and abstracts of 24,237 and 150,538 research publications concerning Caenorhabditis elegans and Drosophila melanogaster, respectively. This approach has effectively identified 200,219 and 1,194,587 interactions within the C.