Hemophagocytic lymphohistiocytosis in early pregnancy: A rare and fatal diagnostic challenge.

Objective: This report details the complexities of diagnosing and treating rapid-onset multisystemic hemophagocytic lymphohistiocytosis (HLH) during pregnancy, as evidenced by a fatal case in early pregnancy with severe hematological and obstetric complications.

Case Presentation: A 20-year-old pregnant woman in her second pregnancy presented at 8 weeks of gestation with abdominal pain, fever, and rectal bleeding. Laboratory tests revealed leukopenia, thrombocytopenia, and anemia, leading to immediate transfusion and intensive care unit admission.

Osmotic stress influences microtubule drug response via WNK1 kinase signaling.

Ion homeostasis is critical for numerous cellular processes, and disturbances in ionic balance underlie diverse pathological conditions, including cancer progression. Targeting ion homeostasis is even considered as a strategy to treat cancer. However, very little is known about how ion homeostasis may influence anticancer drug response.

Reliability of Central Vein Sign Imaging With 3T FLAIR* in a Multicenter Study.

Background And Purpose: The central vein sign (CVS) is a diagnostic imaging biomarker for multiple sclerosis (MS). FLAIR* is a combined MRI contrast that provides high conspicuity for CVS at 3 Tesla (3T), enabling its sensitive and accurate detection in clinical settings. This study evaluated whether CVS conspicuity of 3T FLAIR* is reliable across imaging sites and MRI vendors and whether gadolinium (Gd) contrast increases CVS conspicuity.

Gastric partitioning versus gastrojejunostomy for gastric outlet obstruction due to unresectable gastric cancer: randomized clinical trial.

Background: Gastric outlet obstruction due to unresectable tumours is usually managed with a gastrojejunostomy. Unfortunately, the unsatisfactory outcomes of this procedure have led to the search for alternatives, including gastric partitioning.

Methods: Monocentric, randomized, parallel, open-label trial that included patients with obstructive, unresectable distal gastric tumours.

A review of large language models and autonomous agents in chemistry.

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly impacting molecule design, property prediction, and synthesis optimization. This review highlights LLM capabilities in these domains and their potential to accelerate scientific discovery through automation. We also review LLM-based autonomous agents: LLMs with a broader set of tools to interact with their surrounding environment.