[HTML][HTML] IgG glycans in health and disease: Prediction, intervention, prognosis, and therapy
S Shkunnikova, A Mijakovac, L Sironic, M Hanic… - Biotechnology …, 2023 - Elsevier
Immunoglobulin (IgG) glycosylation is a complex enzymatically controlled process, essential
for the structure and function of IgG. IgG glycome is relatively stable in the state of …
for the structure and function of IgG. IgG glycome is relatively stable in the state of …
Microbial metabolites as modulators of the infant gut microbiome and host-microbial interactions in early life
The development of infant gut microbiome is a pivotal process affecting the ecology and
function of the microbiome, as well as host health. While the establishment of the infant …
function of the microbiome, as well as host health. While the establishment of the infant …
[HTML][HTML] Modulating the microbiota as a therapeutic intervention for type 2 diabetes
Mounting evidence suggested that the gut microbiota has a significant role in the
metabolism and disease status of the host. In particular, Type 2 Diabetes (T2D), which has a …
metabolism and disease status of the host. In particular, Type 2 Diabetes (T2D), which has a …
[HTML][HTML] Research gaps and opportunities in precision nutrition: an NIH workshop report
Precision nutrition is an emerging concept that aims to develop nutrition recommendations
tailored to different people's circumstances and biological characteristics. Responses to …
tailored to different people's circumstances and biological characteristics. Responses to …
[HTML][HTML] Gut microbiota predicts body fat change following a low-energy diet: a PREVIEW intervention study
Abstract Background Low-energy diets (LEDs) comprise commercially formulated food
products that provide between 800 and 1200 kcal/day (3.3–5 MJ/day) to aid body weight …
products that provide between 800 and 1200 kcal/day (3.3–5 MJ/day) to aid body weight …
[PDF][PDF] Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype: a precision nutrition trial
I Trouwborst, A Gijbels, KM Jardon, E Siebelink, GB Hul… - Cell Metabolism, 2023 - cell.com
Precision nutrition based on metabolic phenotype may increase the effectiveness of
interventions. In this proof-of-concept study, we investigated the effect of modulating dietary …
interventions. In this proof-of-concept study, we investigated the effect of modulating dietary …
[PDF][PDF] Machine learning in clinical decision making
Machine learning is increasingly integrated into clinical practice, with applications ranging
from pre-clinical data processing, bedside diagnosis assistance, patient stratification …
from pre-clinical data processing, bedside diagnosis assistance, patient stratification …
Predicting drug-microbiome interactions with machine learning
Pivotal work in recent years has cast light on the importance of the human microbiome in
maintenance of health and physiological response to drugs. It is now clear that …
maintenance of health and physiological response to drugs. It is now clear that …
Evidence‐based weight loss interventions: individualized treatment options to maximize patient outcomes
GA Bray, DH Ryan - Diabetes, Obesity and Metabolism, 2021 - Wiley Online Library
Against the backdrop of obesity as a major public health problem, we examined three
questions: How much weight loss is needed to benefit patients with obesity? How well do …
questions: How much weight loss is needed to benefit patients with obesity? How well do …
[HTML][HTML] Does personalized nutrition advice improve dietary intake in healthy adults? A systematic review of randomized controlled trials
R Jinnette, A Narita, B Manning, SA McNaughton… - Advances in …, 2021 - Elsevier
Personalized nutrition (PN) behavior-change interventions are being used increasingly in
attempts to improve dietary intake; however, the impact of PN advice on improvements in …
attempts to improve dietary intake; however, the impact of PN advice on improvements in …