A study of the lipidome and proteome was performed on milk fat globule membranes (MFGM) originating from milk samples from high (HL) and low (LL) lipolysis groups of cows. Combined univariate and multivariate statistical analyses proposed a set of variables highly associated to contrasted samples with regard to milk lipolysis. Milk from HL group were related to 4 phosphatidylinositols, 8 phosphatidylcholines, 1 sphingomyelin and 27 proteins, among them the phosphatidylcholine/phosphatidylethanolamine ratio and ORM1 may contribute to the membrane remodeling of the MFGM.
View Article and Find Full Text PDFBackground: Practices to include youth with intellectual and/or developmental disabilities (IDD) are necessary to design and implement research that specifically meets the behavioral health needs of this population. This article describes a protocol for engaging youth with IDD as collaborators in a comparative effectiveness clinical trial using a community-engaged research (CEnR) approach.
Methods: Our engagement protocol, guided by the Community Engaged Research (CEnR) Framework, emphasized harm avoidance, accessibility, demonstrated value, capacity bridging and co-learning, shared power and equity in decision-making, accountability and respect, and transparent communication.
Background: To date, the only potential curative treatment for multiple myeloma (MM) remains allogeneic (allo) hematopoietic cell transplant (HCT), although, most patients will eventually relapse. In relapsed patients, donor lymphocyte infusions (DLIs) have been reported to control disease, but the optimal strategy prior to and doses of DLIs remain unclear. With this study (NCT03413800), we aimed to investigate the efficacy and toxicity of lenalidomide and dexamethasome (Len/Dex) followed by escalating pre-determined doses of DLIs in MM patients who relapsed after allo HCT.
View Article and Find Full Text PDFThe present study examined the association between adverse childhood experiences (ACEs) and body mass index (BMI) status among children and youth with special health care needs (CYSHCN), and the role of health characteristics and lifestyle factors in predicting BMI. Data from the 2016-2020 National Survey of Children's Health were utilized. Key variables included: ACEs, BMI status, level of functional impairment, depression, weekly level of physical activity, and daily screen time.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol
December 2024