Back

Metabolic Phenotyping Objectively Captures Dietary Intake and Short-term Cardiovascular Disease Risk Responses Under an Inpatient Randomized Crossover Clinical Trial

Wu, Y.; Alqarni, L.; Posma, J. M.; Kasapi, M.; Walsh, L.; O'Sullivan, O.; Holmes, E.; Frost, G.; Garcia-Perez, I.

2026-03-23 nutrition
10.64898/2026.03.20.26348884 medRxiv
Show abstract

BackgroundDiet is central to cardiovascular disease (CVD) prevention, yet free-living studies rarely capture what people eat at home or how closely they follow an assigned diet due to limitations in self-reporting. Short-term inpatient feeding studies, with all meals provided and supervised intake, allow direct assessment of the physiological effects of dietary patterns. Objectivesi) To compare the short-term effects of a UK-National Institute for Health and Care Excellence (NICE) aligned diet versus a Western-style diet on CVD risk factors, metabolic phenotypes and microbiome; ii) To evaluate whether urinary metabolic phenotyping can objectively classify dietary adherence in adults with increased CVD risk. MethodsIn a controlled inpatient randomized crossover trial, 18 adults at elevated CVD risk completed two 72 h isocaloric diets: NICE-compliant and Western-style. Repeated-measures MCCV-PLS-DA assessed NMR fasting serum and 24 h urine metabolomic phenotypes. Univariate analyses examined CVD markers, urinary metabolites, serum SCFAs, and gut microbial richness and -diversity. ResultsDiet modulated CVD risk markers, with the NICE compliant diet lowering systolic blood pressure and atherogenic lipid parameters, whereas the Western-style diet increased these measures (all q < 0.05). The Western-style diet reduced microbial richness and tended towards lower -diversity. Urinary metabolic phenotyping identified 27 discriminatory metabolites between the diets reflecting food intake. Most diet-linked metabolites diverged from baseline within 24 h; microbiome derived metabolites demonstrated early and sustained divergence across 72 h. The urinary MCCV-PLS-DA model extended from a previously published framework in healthy adults, robustly classified dietary adherence (Q2Y=0.96), and correctly predicted allocated dietary intervention at earlier timepoints (24-48 h). ConclusionsUrinary metabolic phenotyping offers a sensitive and non-invasive tool for objectively assessing dietary intake. Short-term adherence to contrasting dietary patterns produced rapid, diet-specific metabolic and microbial effect in individuals at elevated CVD risk and differentially impacted cardiovascular risk profiles. This trial was registered at the ISRCTN registry (https://www.isrctn.com/ISRCTN44705179).

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
The American Journal of Clinical Nutrition
19 papers in training set
Top 0.1%
18.2%
2
BMC Medicine
163 papers in training set
Top 0.3%
8.2%
3
Nature Communications
4913 papers in training set
Top 30%
6.2%
4
Nutrients
64 papers in training set
Top 0.3%
6.2%
5
Current Developments in Nutrition
15 papers in training set
Top 0.1%
6.2%
6
BMJ Nutrition, Prevention & Health
10 papers in training set
Top 0.1%
6.2%
50% of probability mass above
7
Science Translational Medicine
111 papers in training set
Top 0.8%
3.6%
8
Journal of Translational Medicine
46 papers in training set
Top 0.2%
3.5%
9
Food & Function
12 papers in training set
Top 0.1%
3.5%
10
International Journal of Behavioral Nutrition and Physical Activity
15 papers in training set
Top 0.2%
2.1%
11
Gut
36 papers in training set
Top 0.4%
2.0%
12
Diabetologia
36 papers in training set
Top 0.5%
1.8%
13
Scientific Reports
3102 papers in training set
Top 60%
1.7%
14
The Journal of Nutrition
21 papers in training set
Top 0.3%
1.7%
15
eLife
5422 papers in training set
Top 43%
1.7%
16
Science Advances
1098 papers in training set
Top 18%
1.7%
17
Journal of Clinical and Translational Science
11 papers in training set
Top 0.2%
1.6%
18
PLOS Medicine
98 papers in training set
Top 3%
1.5%
19
Frontiers in Endocrinology
53 papers in training set
Top 2%
1.2%
20
PLOS ONE
4510 papers in training set
Top 61%
1.2%
21
Public Health Nutrition
14 papers in training set
Top 0.5%
1.1%
22
Frontiers in Nutrition
23 papers in training set
Top 1%
0.8%
23
npj Digital Medicine
97 papers in training set
Top 3%
0.8%
24
Molecular Metabolism
105 papers in training set
Top 2%
0.8%
25
BMJ Open
554 papers in training set
Top 13%
0.7%
26
Microbiome
139 papers in training set
Top 3%
0.7%
27
eBioMedicine
130 papers in training set
Top 5%
0.7%
28
Gut Microbes
70 papers in training set
Top 1%
0.7%
29
JAMA Network Open
127 papers in training set
Top 5%
0.6%
30
Med
38 papers in training set
Top 1%
0.6%