Purpose Of Review: To present recent literature on novel diagnostic tests in neonatal sepsis.
Recent Findings: Our review of technologies for the rapid diagnosis of neonatal sepsis includes new adaptations of time-honored tests as well as advances on the forefront of medicine. A recent study demonstrates that age-specific likelihood values for the complete blood count may determine risk of infection. Systematic reviews of procalcitonin, mannose-binding lectin and molecular amplification techniques provide summary data from accumulated literature on these tests. Proteomics-based and genomics-based exploratory researches suggest new combinations of markers as important signals of sepsis, whereas damage-associated molecular patterns, a class of inflammatory mediators now viewed as key players in the inflammatory cascade, may be useful predictors of disease progression and severity. Heart rate variability monitoring has also been suggested as a way to reduce mortality in very low birth weight neonates. Finally, molecular techniques are rapidly advancing in sophistication and may soon be useful as adjunctive bacterial identification tests.
Summary: Several novel tests show promise in the early detection of sepsis. Highlights include new combinations of biomarkers unearthed by proteomics-based research and identification of sepsis based on gene expression profiling. Future research should focus on validation of these findings and further refinement of molecular techniques.
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http://dx.doi.org/10.1097/MOP.0b013e3283504df3 | DOI Listing |
Physiol Plant
January 2025
Laboratory of Biochemistry, Institut Químic de Sarrià, Universitat Ramon Llull, Barcelona, Spain.
Photosynthetic microalgae are promising green cell factories for the sustainable production of high-value chemicals and biopharmaceuticals. The chloroplast organelle is being developed as a chassis for synthetic biology as it contains its own genome (the plastome) and some interesting advantages, such as high recombinant protein titers and a diverse and dynamic metabolism. However, chloroplast engineering is currently hampered by the lack of standardized cloning tools and Design-Build-Test-Learn workflows to ease genomic and metabolic engineering.
View Article and Find Full Text PDFMed Phys
January 2025
Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Background: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for effective heavy ion therapy (HIT). However, there is a shortage of deep learning (DL) models and workflows for predicting Monte Carlo (MC) doses in such treatments.
Purpose: This study seeks to address this gap by developing a DL model for independent MC dose (MCDose) prediction, aiming to facilitate OART and rapid QA implementation for HIT.
Funct Integr Genomics
January 2025
Department of Plant Biotechnology, Tamilnadu Agricultural University, 641003, Coimbatore, India.
Gamma-aminobutyric acid (GABA) functions as an inhibitory neurotransmitter which blocks the impulses between nerve cells in the brain. Due to the increasing awareness about the health promoting benefits associated with GABA, it is also artificially synthesized and consumed as a nutritional supplement by people in some regions of the world. Though among the fresh vegetables, tomato fruits do contain a comparatively higher amount of GABA (0.
View Article and Find Full Text PDFIntern Emerg Med
January 2025
Department of Intensive Care Unit, General Hospital of Southern Theatre Command of PLA, Guangzhou, China.
Multi-trauma presents significant challenges due to the complexity of injuries and high mortality rates. Early identification and intervention are crucial for improving outcomes in these critically injured patients. This retrospective study analyzed clinical data from multi-trauma patients admitted to the emergency department of Huiyang Sanhe Hospital between January 10, 2020, and September 30, 2022.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
With the rapid advancement of proteomics, numerous scholars have investigated the intricate relationships between plasma proteins and various diseases. Therefore, this study aims to elucidate the relationship between BDH1 and type 2 diabetes using Mendelian randomization (MR) and to identify novel targets for the prevention and treatment of type 2 diabetes through proteomics. This study primarily employed the Mendelian Randomization (MR) method, leveraging genetic data from numerous large-scale, publicly accessible genome-wide association studies (GWAS).
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