Adverse reactions to foods and adverse drug reactions are inherent in product defects, medication errors, and differences in individual drug exposure. Pharmacogenetics is the study of genetic causes of individual variations in drug response and pharmacogenomics more broadly involves genome-wide analysis of the genetic determinants of drug efficacy and toxicity. The similarity of nutritional genomics and pharmacogenomics stems from the innate goal to identify genetic variants associated with metabolism and disease. Thus, nutrigenomics can be thought of as encompassing gene-diet interactions involving diverse compounds that are present in even the simplest foods. The advances in the knowledge base of the complex interactions among genotype, diet, lifestyle, and environment is the cornerstone that continues to elicit changes in current medical practice to ultimately yield personalized nutrition recommendations for health and risk assessment. This information could be used to understand how foods and dietary supplements uniquely affect the health of individuals and, hence, wellness. The individual's gut microbiota is not only paramount but pivotal in embracing the multiple-functional relationships with complex metabolic mechanisms involved in maintaining cellular homeostasis. The genetic revolution has ushered in an exciting era, one in which many new opportunities are expected for nutrition professionals with expertise in nutritional genomics. The American College of Nutrition's conference focused on "Personalized Nutrition: Translating the Science of NutriGenomics Into Practice" was designed to help to provide the education needed for the professional engagement of providers in the personalized medicine era.
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http://dx.doi.org/10.1080/07315724.2019.1582980 | DOI Listing |
Sci Rep
January 2025
Department of Respiratory and Critical Care Medicine, the Third Hospital of Wuhan, Wuhan, 430030, People's Republic of China.
Phase angle (PhA) is an indicator of nutritional status. The association between PhA and all-cause mortality has been confirmed in older adults, but no relevant studies have been conducted in adults aged 18-49 years. This study aimed to investigate the relationship between PhA and all-cause mortality in adults aged 18-49 years.
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January 2025
Department of Interventional Radiology, Beijing Chao-Yang Hospital Affiliated with Capital Medical University, Beijing, China.
Skeletal muscle index (SMI), as an effective indicator of nutritional status, plays an important role in the prognosis of malignancy. However, the impact of skeletal muscle changes on tumor prognosis has not been systematically elaborated. We aimed to explore the value of skeletal muscle changes in the prognosis of distal cholangiocarcinoma (DCC) patients undergone pancreaticoduodenectomy (PD).
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January 2025
Department of Maternal Health Care, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, 410008, Hunan, China.
There is little research on anemia and vitamin D deficiency in HIV-exposed uninfected (HEU) children. This study was aimed to describe and compare the prevalence of anemia and vitamin D inadequacy in HEU children and HIV-unexposed uninfected (HUU) children, and to examine the associations of HIV exposure with anemia and vitamin D inadequacy. This was a hospital-based descriptive cross-sectional study nested within the Prevention of Mother-to-Child Transmission (PMTCT) of HIV program in Hunan Province during July and September 2022.
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January 2025
School of Public Health, Xinjiang Medical University, Ürümqi, Xinjiang, China.
Previous studies have shown that serum albumin levels are associated with a greater risk of metabolic syndrome (MetS). However, it is unclear whether this association is causal or only influenced by confounding factors, so further investigation is needed to determine the causal relationships. Researchers selected participants with serum albumin, metabolic syndrome, and related covariates from the National Health and Nutrition Examination Survey (NHANES) database for a total of 14,036 individuals, including 5483 individuals with MetS and 8553 individuals without MetS.
View Article and Find Full Text PDFThe relationship between a body shape index (ABSI) and bone mineral density (BMD) remains uncertain, prompting further investigation. This study aims to elucidate the association between ABSI and BMD using data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), involving participants aged 20-60. ABSI was calculated using the formula: ABSI = 1000 × waist circumference (m)×weight (kg)×height (m).
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