@misc{bohn_balbuena_ulus_iddir_wang_crook_eroglu_2023, title={Carotenoids in Health as Studied by Omics-Related Endpoints}, volume={14}, ISSN={["2156-5376"]}, url={https://doi.org/10.1016/j.advnut.2023.09.002}, DOI={10.1016/j.advnut.2023.09.002}, abstractNote={Carotenoids have been associated with risk reduction for several chronic diseases, including the association of their dietary intake/circulating levels with reduced incidence of obesity, type 2 diabetes, certain types of cancer, and even lower total mortality. In addition to some carotenoids constituting vitamin A precursors, they are implicated in potential antioxidant effects and pathways related to inflammation and oxidative stress, including transcription factors such as nuclear factor κB and nuclear factor erythroid 2-related factor 2. Carotenoids and metabolites may also interact with nuclear receptors, mainly retinoic acid receptor/retinoid X receptor and peroxisome proliferator-activated receptors, which play a role in the immune system and cellular differentiation. Therefore, a large number of downstream targets are likely influenced by carotenoids, including but not limited to genes and proteins implicated in oxidative stress and inflammation, antioxidation, and cellular differentiation processes. Furthermore, recent studies also propose an association between carotenoid intake and gut microbiota. While all these endpoints could be individually assessed, a more complete/integrative way to determine a multitude of health-related aspects of carotenoids includes (multi)omics-related techniques, especially transcriptomics, proteomics, lipidomics, and metabolomics, as well as metagenomics, measured in a variety of biospecimens including plasma, urine, stool, white blood cells, or other tissue cellular extracts. In this review, we highlight the use of omics technologies to assess health-related effects of carotenoids in mammalian organisms and models.}, number={6}, journal={ADVANCES IN NUTRITION}, author={Bohn, Torsten and Balbuena, Emilio and Ulus, Hande and Iddir, Mohammed and Wang, Genan and Crook, Nathan and Eroglu, Abdulkerim}, year={2023}, month={Nov}, pages={1538–1578} }
 @article{ulus_tekbudak_allen_2021, title={Processing Human Milk to Increase Nutrient Density for Preterm Infants}, ISSN={["1552-5732"]}, DOI={10.1177/08903344211056933}, abstractNote={Background: Human milk is the optimal food for newborns. Choices to feed preterm infants in neonatal intensive care units are mother’s milk, donor milk, or formula. Preterm infants have better tolerance for human milk, but the lower caloric density of donor milk might not meet preterm infant growth needs. Preterm infants have higher protein and energy requirements with a limited stomach capacity. Therefore, there is a need for human milk with increased nutrient density. Research Aim: To concentrate donor milk to have a higher caloric and protein density while avoiding side effects of high osmolality by precipitating lactose at low temperatures. Methods: We investigated the results of volume reduction and lactose removal processes on the lactose, protein, osmolality, and viscosity of human milk. Donor milk was obtained from WakeMed Mothers’ Milk Bank. Homogenization and evaporative condensation were applied to samples ( N = 36) before they were stored frozen overnight, followed by refrigerated centrifugation for lactose removal at 0 °C. Supernatants were separated and compared to the composition of controls. Results: A significant reduction of lactose ( SW = -262, p < .0001) and osmolality ( SW = -211.5 p < .01) was achieved in the concentrated milk without a significant protein loss from centrifugation ( SW = -44.5, p = .49). A 30%–40% volume reduction is within the American Academy of Pediatrics recommended osmolality for infant feeding. Conclusion: Concentrating human milk in a milk bank setting for feeding preterm infants might be a simple and low-cost process to achieve a product with higher nutrient density and no non-human components. }, journal={JOURNAL OF HUMAN LACTATION}, author={Ulus, Hande Z. and Tekbudak, Merve Yasemin and Allen, Jonathan C.}, year={2021}, month={Nov} }