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form a highly diverse and widespread superphylum of uncultured microorganisms representing a third of the global microbial diversity. Most of our knowledge on putative physiology relies on metagenomic mining and metagenome-assembled genomes, but the activities and the ecophysiology of these microorganisms have been rarely explored, leaving the role of in ecosystems elusive. Using a genome-centric metatranscriptomic approach, we analyzed the diel and seasonal gene transcription profiles of 18 populations in brackish microbial mats to test whether our understanding of metabolism allows the extrapolation of their activities. Although our results revealed a circadian cycle in activities, a strong streamlined genetic expression characterized the populations. This result has a major consequence for the extrapolation of their physiology and environmental function since most transcribed genes were uncharacterized, indicating that the ecophysiology of cannot be yet reliably predicted from genomic data.
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http://dx.doi.org/10.3389/fmicb.2022.1073483 | DOI Listing |
J Oncol Pharm Pract
September 2025
Hematology/Oncology, Scripps Clinic, La Jolla, USA.
IntroductionDaratumumab is a therapeutic cornerstone of the management of multiple myeloma, exerting its anti-myeloma activity through targeting of the cell surface glycoprotein CD38 on plasma cells. While originally given intravenously, the subcutaneous formulation, daratumumab hyaluronidase injection (Dara SC), has been associated with non-inferior efficacy and lower infusion-related reaction rates (IRRs) in the treatment of multiple myeloma and light chain amyloidosis. A noted benefit of Dara SC is a short administration time; however, the optimal observation time post injection to ensure patient safety is unclear from the drug labeling.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
Drugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFClin Res Cardiol
September 2025
Department of Cardiology, University Heart Center, University Hospital Zurich, Center for Translational and Experimental Cardiology (CTEC), University of Zurich, Rämistrasse 100, 8091, Zurich, Switzerland.
Background: Diabetic patients with ST-segment elevation myocardial infarction (STEMI) are at an increased risk of cardiovascular events as compared to non-diabetic patients. This analysis investigated outcomes of diabetic patients presenting with multivessel disease (MVD) and STEMI in a contemporary trial and the relevance of an immediate versus staged multivessel PCI strategy in this high-risk population.
Methods: Patients enrolled in the MULTISTARS AMI trial were stratified according to the presence/absence of diabetes.
Int J Surg
September 2025
State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Introduction: Recent advancements in surgical techniques and perioperative care have improved cancer survival rates, yet postoperative comorbidity and mortality remain a critical concern. Despite progress in cancer control, systematic analyses of long-term mortality trends and competing risks in surgery-intervened cancer populations are lacking. This study aimed to quantify temporal patterns of postoperative mortality causes across 21 solid cancers and identify dominant non-cancer risk factors to inform survivorship care strategies.
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