Systematic review on efficacy and safety of empirical versus pre-emptive antifungal therapy among children with febrile neutropenia reveals paucity of data.

BACKGROUND: Two approaches are used to manage invasive fungal disease (IFD) in febrile neutropenic patients viz. empirical therapy (without attempting to confirm the diagnosis), or pre-emptive therapy (after screening tests for IFD). OBJECTIVE: This systematic review was undertaken to compare these approaches in children. METHODS: We searched PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, CINAHL, Clinical Trial Registries and grey literature, for randomized controlled trials (RCT) comparing empirical versus pre-emptive antifungal therapy in children with FN suspected to have IFD. We used the Cochrane Risk of bias 2 tool for quality assessment, and evaluated the certainty of evidence using the GRADE approach. RESULTS: We identified 7989 citations. Stepwise screening identified only one relevant RCT that administered empirical (n = 73) or pre-emptive (n = 76) antifungal therapy. There were no significant differences in all-cause mortality (RR 1.56, 95% CI: 0.46, 5.31), IFD mortality (RR 1.04, 95% CI:0.15, 7.20) and other clinically important outcomes such as duration of fever, duration of hospitalization and proportion requiring ICU admission. There were no safety data reported. The number of days of antifungal therapy was significantly lower in the pre-emptive therapy arm. The certainty of evidence for all outcomes was 'moderate'. CONCLUSIONS: This systematic review highlighted the paucity of data, comparing empirical versus pre-emptive antifungal therapy in children with febrile neutropenia having suspected invasive fungal disease. Data from a single included trial suggests that both approaches may be comparable in research settings. Robust trials are warranted to address the gap in existing knowledge about the optimal approach in clinical practice.

Functional attributes of bioactive peptides of bovine milk origin and application of in silico approaches for peptide prediction and functional annotations.

Bovine milk peptides are the protein fragments with diverse bioactive properties having antioxidant, anticarcinogenic, other therapeutic and nutraceutical potentials. These peptides are formed in milk by enzymatic hydrolysis, gastrointestinal digestion and fermentation processes. They have significant health impact with high potency and low toxicity making them a suitable natural alternative for preventing and managing diseases. Antibiotic resistance has increased the quest for better peptide candidates with antimicrobial effects. This article presents a comprehensive review on well documented antimicrobial, immunological, opioid, and anti-hypertensive activities of bovine milk peptides. It also covers the usage of computational biology tools and databases for prediction and analysis of the food-derived bioactive peptides. In silico analysis of amino acid sequences of Bos taurus milk proteins have been predicted to generate peptides with dipeptidyl peptidase IV inhibitory and ACE inhibitory properties, making them favorable candidates for developing blood sugar lowering drugs and anti-hypertensives. In addition to the prediction of new bioactive peptides, application of bioinformatics tools to predict novel functions of already known peptides is also discussed. Overall, this review focuses on the reported as well as predicted biologically active peptide of casein and whey proteins of bovine milk that can be utilized to develop therapeutic agents.