Results 151 to 160 of about 164,007 (344)

Dietary Fats and Cognitive Status in Italian Middle-Old Adults. [PDF]

open access: yesNutrients, 2023
Currenti W   +8 more
europepmc   +1 more source

Correlation Between Fecal Microbiota and Corticosteroid Responsiveness in Primary Immune Thrombocytopenia: an Exploratory Study

open access: yesAdvanced Science, EarlyView.
This study uses gut microbiome data to predict corticosteroid response in patients with immune thrombocytopenia (ITP). Fecal samples from 212 patients with ITP are sequenced. Six machine‐learning algorithms are used to train predictive models. The support vector machine‐based model integrated clinical data and selected microbial species, diversities ...
Feng‐Qi Liu   +38 more
wiley   +1 more source

Familial resemblance in dietary intake among singletons, twins, and spouses: a meta-analysis of family-based observations

open access: yesBMC Public Health
Background Familial dietary intake can be influenced by both genetic and environmental factors; the current study aimed to examine the role of these two factors on dietary intake by investigating the resemblance in energy, nutrient, and food group intake
Farshad Teymoori   +14 more
doaj   +1 more source

A gene–diet interaction controlling relative intake of dietary carbohydrates and fats

open access: yesMolecular Metabolism, 2022
Objective: Preference for dietary fat vs. carbohydrate varies markedly across free-living individuals. It is recognized that food choice is under genetic and physiological regulation, and that the central melanocortin system is involved.
Nnamdi G. Nelson   +14 more
doaj  

Dietary fats and serum lipids in relation to the risk of ovarian cancer: a meta-analysis of observational studies. [PDF]

open access: yesFront Nutr, 2023
Zhang X   +10 more
europepmc   +1 more source

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

open access: yesAdvanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao   +14 more
wiley   +1 more source

Dietary Fats and Cardio-Metabolic Outcomes in a Cohort of Italian Adults. [PDF]

open access: yesNutrients, 2022
Currenti W   +7 more
europepmc   +1 more source

Enhancer Profiling Reveals a Protective Role of RXRα Against Calcium Oxalate‐Induced Crystal Deposition and Kidney Injury

open access: yesAdvanced Science, EarlyView.
Comprehensive epigenomic and transcriptomic profiling revealed a dynamic enhancer landscape and gene expression program associated with nephrolithiasis, highlighting RXRα as a central transcription factor in this regulatory network. Tubular‐specific deletion of RXRα increased intrarenal CaOx crystal deposition, while its activation with Bexarotene ...
Yu Yang   +12 more
wiley   +1 more source

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