Personalized nutrition may be more effective in changing lifestyle behaviors compared to population-based guidelines. This single-arm exploratory study evaluated the impact of a 10-week personalized systems nutrition (PSN) program on lifestyle behavior and health outcomes. Healthy men and women ( = 82) completed the trial. Individuals were grouped into seven diet types, for which phenotypic, genotypic and behavioral data were used to generate personalized recommendations. Behavior change guidance was also provided. The intervention reduced the intake of calories (-256.2 kcal; < 0.0001), carbohydrates (-22.1 g; < 0.0039), sugar (-13.0 g; < 0.0001), total fat (-17.3 g; < 0.0001), saturated fat (-5.9 g; = 0.0003) and PUFA (-2.5 g; = 0.0065). Additionally, BMI (-0.6 kg/m; < 0.0001), body fat (-1.2%; = 0.0192) and hip circumference (-5.8 cm; < 0.0001) were decreased after the intervention. In the subgroup with the lowest phenotypic flexibility, a measure of the body's ability to adapt to environmental stressors, LDL (-0.44 mmol/L; = 0.002) and total cholesterol (-0.49 mmol/L; < 0.0001) were reduced after the intervention. This study shows that a PSN program in a workforce improves lifestyle habits and reduces body weight, BMI and other health-related outcomes. Health improvement was most pronounced in the compromised phenotypic flexibility subgroup, which indicates that a PSN program may be effective in targeting behavior change in health-compromised target groups.
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http://dx.doi.org/10.3390/nu13061763 | DOI Listing |
Cell Rep
December 2024
Department of Medicine and Cancer Center, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, USA. Electronic address:
Androgen receptor (AR) splice variants, of which ARv7 is the most common, are increased in castration-resistant prostate cancer, but the extent to which they drive AR activity is unclear. We generated a subline of VCaP cells (VCaP16) that is resistant to the AR inhibitor enzalutamide (ENZ). AR activity in VCaP16 is driven by ARv7, independently of full-length AR (ARfl), and its cistrome and transcriptome mirror those of ARfl in VCaP cells.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
November 2024
Cancer Genomics and Epigenomics Program, Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106.
Sustained androgen receptor (AR) signaling during relapse is a central driver of metastatic castration-resistant prostate cancer (mCRPC). Current AR antagonists, such as enzalutamide, fail to provide long-term benefit for the mCRPC patients who have dramatic increases in AR expression. Here, we report AR antagonists with efficacy in AR-overexpressing models.
View Article and Find Full Text PDFAdv Physiol Educ
March 2025
University of Texas, Austin, Texas, United States.
Physiology education in Africa faces challenges due to gaps in curricula across many of its universities, such as divergent content, a lack of standardized competencies, and suitable benchmarking. Here, we describe the development of the Physiology Curriculum for African Universities (PhysioCAFUN), a competency-based curriculum development guideline, as a first step to address such shortcomings. A committee of 15 physiologists from different African regions, Europe, and the United States was constituted to draft the PhysioCAFUN, which was introduced and revised during the joint East African Society of Physiological Sciences (EASPS) and African Association of Physiological Sciences (AAPS) conference held in Tanzania late 2023.
View Article and Find Full Text PDFAm J Surg
December 2024
Leonard Davis Institute of Health Economics, University of Pennsylvania, 3641 Locust Walk, Philadelphia, PA, USA; Department of Medicine, University of Pennsylvania Perelman School of Medicine, 3400 Spruce Street, Philadelphia, PA, USA; Abramson Cancer Center, University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA, USA. Electronic address:
Background: This study aimed to characterize patient satisfaction with navigators and surgical care accessed through a novel navigation program for under-resourced communities.
Methods: PSN-I and PSQ-18 questionnaires assessed satisfaction with navigators and care, respectively. Primary outcomes were PSN-I and PSQ-18 scores.
Comput Methods Programs Biomed
December 2024
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, PR China; Big Data Research Center, University of Electronic Science and Technology of China, Chengdu, 611731, PR China. Electronic address:
Background And Objective: Accurate prognosis prediction for cancer patients plays a significant role in the formulation of treatment strategies, considerably impacting personalized medicine. Recent advancements in this field indicate that integrating information from various modalities, such as genetic and clinical data, and developing multi-modal deep learning models can enhance prediction accuracy. However, most existing multi-modal deep learning methods either overlook patient similarities that benefit prognosis prediction or fail to effectively capture diverse information due to measuring patient similarities from a single perspective.
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