Risk Factors for Developing Adenovirus-Associated Post-Infectious Bronchiolitis Obliterans.

Background: Risk factors for progression of adenovirus (AdV)-associated bronchiolitis (AdV-B) to post-infectious bronchiolitis obliterans (PIBO) are poorly defined. We aimed to investigate this in a multicenter cohort.

Methods: A multicenter hospital-based analysis included children admitted with AdV-B in Jerusalem during 2016-2022.

Andean Crops Germination: Changes in the Nutritional Profile, Physical and Sensory Characteristics. A Review.

Andean crops such as quinoa, amaranth, cañihua, beans, maize, and tarwi have gained interest in recent years for being gluten-free and their high nutritional values; they have high protein content with a well-balanced essential amino acids profile, minerals, vitamins, dietary fiber, and antioxidant compounds. During the germination bioprocess, the seed metabolism is reactivated resulting in the catabolism and degradation of macronutrients and some anti-nutritional compounds. Therefore, germination is frequently used to improve nutritional quality, protein digestibility, and availability of certain minerals and vitamins; furthermore, in specific cases, biosynthesis of new bioactive compounds could occur through the activation of secondary metabolic pathways.

Bioinformatics design of a peptide vaccine containing sarcoma antigen NY-SAR-35 epitopes against breast cancer and evaluation of its immunological function in BALB/c mouse model.

The development of a cancer vaccine has become an essential focus in the field of medical biotechnology and immunology. In our study, the NY-SAR-35 cancer/testis antigen was targeted to design a novel peptide vaccine using bioinformatics tools, and BALB/c mice were used to evaluate the vaccine's immunological function. This evaluation involved assessing peptide-specific IgG levels in the serum via ELISA and measuring the levels of IFN-γ, IL-4, and granzyme B in the supernatant of cultured splenocytes.

Using several pseudo amino acid composition types and different machine learning algorithms to classify and predict archaeal phospholipases.

Phospholipases, as important lipolytic enzymes, have diverse industrial applications. Regarding the stability of extremophilic archaea's proteins in harsh conditions, analyses of unusual features of their proteins are significantly important for their utilization. This research was accomplished to study of archaeal phospholipases' properties and to develop a pioneering method for distinguishing these enzymes from other archaeal enzymes via machine learning algorithms and Chou's pseudo-amino acid composition concept.

MICaFVi: A Novel Magnetic Immuno-Capture Flow Virometry Nano-Based Diagnostic Tool for Detection of Coronaviruses.

COVID-19 has resulted in a pandemic that aggravated the world's healthcare systems, economies, and education, and caused millions of global deaths. Until now, there has been no specific, reliable, and effective treatment to combat the virus and its variants. The current standard tedious PCR-based tests have limitations in terms of sensitivity, specificity, turnaround time, and false negative results.