Tea Extract, Blood Lipid and Dietary Fat

Summary

There are numerous factors known to determine the relative rate of lipid metabolism at rest between and within individuals, including: biological sex, endogenous carbohydrate availability, training status and, in particular, feeding. Recent focus has been placed on the potential of alternative nutrients, nutritional supplements and pharmacological agents to modify substrate selection in favour of greater lipid oxidation (e.g. caffeine, carnitine, green tea) and/or to alter lipid absorption (e.g. caffeine, carnitine, orlistat, green tea preparations).

Polyphenol-rich tea extract can have effects on lipase activity in the pancreas causing reduced fat absorption. The present study is to assess the potential for tea extract alone to be as effective at the liquid product in a western population.

Conditions

• Lipid Metabolism
• Diabetes

Interventions

DIETARY_SUPPLEMENT

Placebo

Placebo will be matched for flavour, odour, and colour, to a tea beverage, without any active ingredient (tea extract).

DIETARY_SUPPLEMENT

Tea beverage

Tea beverage

DIETARY_SUPPLEMENT

Tea extract (medium concentration)

Tea extract (medium concentration) will be matched for flavour, odour, and colour, to a tea beverage, with a medium concentration of tea extract.

DIETARY_SUPPLEMENT

Tea extract (high concentration)

Tea extract (medium concentration) will be matched for flavour, odour, and colour, to a tea beverage, with a high concentration of tea extract.

OTHER

High fat liquid meal challenge

A dairy based standard study meal challenge providing 40 g dietary fat and less than 2 g carbohydrate or 1.2 g protein. For the tracer test subpopulation (n=15) the test meal will also contain 300 mg \[1,1,1-13C3\] tripalmitin to trace the incorporation of dietary lipid into plasma fatty acids.

Sponsors & Collaborators

• Lucozade Ribena Suntory

  collaborator INDUSTRY

• University of Bath

  lead OTHER

Principal Investigators

• James Betts, PhD · University of Bath

Study Design

Allocation

RANDOMIZED

Purpose

BASIC_SCIENCE

Masking

DOUBLE

Model

CROSSOVER

Eligibility

Min Age

18 Years

Max Age

60 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2017-10-10

Primary Completion

2018-03-07

Completion

2018-09-30

Countries

• United Kingdom

Study Locations