Manifestation of an undifferentiated uterine sarcoma in a 51 years old patient and its prognosis: A case report.

Introduction: Undifferentiated uterine sarcoma is a rare histological subtype of uterine sarcoma. This study aimed to summarize the clinical and pathological presentation of this case.

Case Report: A 51-years-old patient was admitted to the clinic because of severe pain in the lower abdomen, and scanty bleeding from the genitals.

Preservatives from food-For food: Pea protein hydrolysate as a novel bio-preservative against O157:H7 on a lettuce leaf.

Fresh-cut fruits and vegetables are becoming particularly popular as healthy fast-food options; however, they present challenges such as accelerated rates of decay and increased risk for contamination when compared to whole produce. Given that food safety must remain paramount for producers and manufacturers, research into novel, natural food preservation solutions which can help to ensure food safety and protect against spoilage is on the rise. In this work, we investigated the potential of using a novel protein hydrolysate, produced by the enzymatic hydrolysis of (PSH), as a novel bio-preservative and its abilities to reduce populations of O157:H7 after inoculation on a lettuce leaf.

Measuring the oral bioavailability of protein hydrolysates derived from food sources: A critical review of current bioassays.

Background: Food proteins are a source of hydrolysates with potentially useful biological attributes. Bioactive peptides from food-derived proteins are released from hydrolysates using exogenous industrial processes or endogenous intestinal enzymes. Current in vitro permeability assays have limitations in predicting the oral bioavailability (BA) of bioactive peptides in humans.

Characterising the efficacy and bioavailability of bioactive peptides identified for attenuating muscle atrophy within a -derived functional ingredient.

Characterising key components within functional ingredients as well as assessing efficacy and bioavailability is an important step in validating nutritional interventions. Machine learning can assess large and complex data sets, such as proteomic data from plants sources, and so offers a prime opportunity to predict key bioactive components within a larger matrix. Using machine learning, we identified two potentially bioactive peptides within a derived hydrolysate, NPN_1, an ingredient which was previously identified for preventing muscle loss in a murine disuse model We investigated the predicted efficacy of these peptides and observed that HLPSYSPSPQ and TIKIPAGT were capable of increasing protein synthesis and reducing TNF-α secretion, respectively.