Maize drought protection by Azospirillum argentinense Az19 requires bacterial trehalose accumulation.

Azospirillum argentinense Az19 is an osmotolerant plant growth-promoting bacterium that protects maize plants from drought. In this work, we explored the role of trehalose in the superior performance of Az19 under stress. The trehalase-coding gene treF was constitutively expressed in Az19 through a miniTn7 system.

Outcomes and molecular profiles in sarcomatoid carcinoma of unknown primary: the Mayo Clinic experience.

Background: Sarcomatoid carcinomas (SC) are rare tumors with both epithelial and mesenchymal characteristics, linked to aggressive behavior and poor prognosis. Sarcomatoid carcinoma of unknown primary (SCUP) is an exceedingly rare subset with limited literature and no standardized management guidelines. This study aims to characterize the clinical presentations, treatment patterns, and genomic landscape of SCUP.

Use of intraoperative transsplenic injection of agitated saline to confirm temporary full attenuation of congenital extrahepatic portosystemic shunts in dogs.

Objective: To describe the use of intraoperative transsplenic injection of agitated saline (TIAS) and confirm temporarily full attenuation of extrahepatic portosystemic shunt (EHPSS) in dogs.

Study Design: Retrospective case series.

Animals: A total of 40 dogs.

Comparative Evaluation of the Corneal Sensitivity Thresholds between the Novel Non-Contact and Cochet-Bonnet Esthesiometers.

Purpose: Primarily, to evaluate the repeatability and reproducibility of the new non-contact esthesiometer (NCE) in healthy subjects. Secondarily, the corneal sensitivity threshold measurements of the NCE were compared with those of the Cochet-Bonnet esthesiometer (CBE).

Design: Assessment reliability study.

Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

Objective: The LungFlag risk prediction model uses individualized clinical variables to identify individuals at high-risk of non-small cell lung cancer (NSCLC) for screening with low-dose computed tomography (LDCT). This study evaluates the cost-effectiveness of LungFlag implementation in the Spanish setting for the identification of individuals at high-risk of NSCLC.

Methods: A model combining a decision-tree with a Markov model was adapted to the Spanish setting to calculate health outcomes and costs over a lifetime horizon, comparing two hypothetical scenarios: screening with LungFlag versus non-screening, and screening with LungFlag versus screening the entire population meeting 2013 US Preventive Services Task Force (USPSTF) criteria.