Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520840 | PMC |
| http://dx.doi.org/10.1001/jamapediatrics.2023.3651 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Intrasporangium zincisolvens sp. nov., A Novel Actinobacterium Isolated from Rhizosphere Soil.
Curr Microbiol
January 2025
Institute of Agricultural Environmental Resources, Yunnan Academy of Agricultural Sciences, Kunming, 650205, People's Republic of China.
A novel phosphate-solubilizing and zinc-solubilizing actinobacterium strain YIM S08009 was isolated from rhizosphere soil collected from Pinus yunnanensis in Wuliangshan National Nature Reserve, Pu'er City, Yunnan Province, southwest PR China. Cells of strain YIM S08009 were Gram-stain-positive, non-motile, irregular rods to cocci, and formed yellow and white colonies on nutrient agar. Growth was observed at 10-40 °C (optimum 25-35 °C), pH 6.
View Article and Find Full Text PDFToward a Computable Phenotype for Determining Eligibility of Lung Cancer Screening Using Electronic Health Records.
JCO Clin Cancer Inform
January 2025
Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL.
Purpose: Lung cancer screening (LCS) has the potential to reduce mortality and detect lung cancer at its early stages, but the high false-positive rate associated with low-dose computed tomography (LDCT) for LCS acts as a barrier to its widespread adoption. This study aims to develop computable phenotype (CP) algorithms on the basis of electronic health records (EHRs) to identify individual's eligibility for LCS, thereby enhancing LCS utilization in real-world settings.
Materials And Methods: The study cohort included 5,778 individuals who underwent LDCT for LCS from 2012 to 2022, as recorded in the University of Florida Health Integrated Data Repository.
sp. nov., a novel endophytic bacterium with plant growth-promoting potential, isolated from root nodules of in Northwestern Algeria.
Int J Syst Evol Microbiol
January 2025
Dpartement de Biotechnologie, Laboratoire des Productions, Valorisations Vgtales et Microbiennes (LP2VM), Facult des Sciences de la Nature et de la Vie, B.P. 1505, El-Mnaour, Universit des Sciences et de la Technologie dOran Mohamed Boudiaf USTO-MB, Oran 31000, Algeria.
A thorough polyphasic taxonomic study, integrating genome-based taxonomic approaches, was carried out to characterize the RB5 strain isolated from root nodules of growing on the coastal dunes of Bousfer Beach (Oran, Algeria). The 16S rRNA gene sequence analysis revealed that strain RB5 had the highest similarity to LMG27940 (98.94%) and IzPS32d (98.
View Article and Find Full Text PDFsp. nov., a crude oil aggregation-forming anaerobic bacterium isolated from marine sediment.
Int J Syst Evol Microbiol
January 2025
Graduate School of Marine Science and Technology, Tokyo University of Marine Science and Technology, 4-5-7 Konan, Minato, Tokyo 108-8477, Japan.
A crude oil aggregation-forming, strictly anaerobic, Gram-stain-positive, spore-forming, rod-shaped, motile and mesophilic bacterium, named strain SH18-2, was isolated from marine sediment near Sado Island in the Sea of Japan. The temperature, salinity and pH ranges of this strain for the growth were 15-40 °C (optimum 35 °C), 0.5-6.
View Article and Find Full Text PDFEffect of insulin sensitivity, insulin secretion, and beta cell function on the remission of type 2 diabetes: A post hoc analysis of the IDEATE trial.
Diabetes Obes Metab
January 2025
Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aims: To compare the probability of achieving diabetes remission in individuals with different phenotypes of insulin sensitivity, insulin secretion, and beta cell function and further detect the effects of diet, exercise, and lifestyle education intervention on these indexes.
Methods: Three-hundred and one participants who had glycated haemoglobin (HbA1c) data at baseline and after intervention were included for this post hoc analysis. We used the multi-way analysis of variance to assess the differences between the diabetes remission and non-remission groups or between intervention groups in changes of the indexes of insulin sensitivity, insulin secretion, and beta cell function.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!