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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT03369145
Other study ID # R17-P144
Secondary ID
Status Completed
Phase N/A
First received
Last updated
Start date December 11, 2017
Est. completion date July 31, 2018

Study information

Verified date February 2019
Source Loughborough University
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The present study will investigate the effect of high-fat overfeeding on a group of liver-secreted proteins linked to worsened blood sugar control, as well as proteins involved in appetite control. Participants will consume both a high-fat diet, consisting of 50% extra calories above their daily required intake, and a control diet, consisting of their normal 'habitual' diet, with each diet lasting seven days. The diets will be undertaken in a randomised order, with a period of three weeks separating the two diets. Blood samples will be taken before and after each diet to measure blood sugar control. Further blood samples will also be taken 24 hours and 72 hours into each diet to see how levels of the liver and appetite-regulating proteins change over the course of the seven days.

It is expected that blood sugar control will be worsened by the high-fat diet and this will be accompanied by increases in levels of the liver-secreted proteins and an impaired release of the appetite-regulating proteins into the blood.


Description:

In recent years, researchers have identified a number of liver-secreted proteins, termed "hepatokines", which are thought to play an important role in inter-organ crosstalk between the liver and other metabolically active tissues such as skeletal muscle and adipose tissue. Specifically, previous studies have demonstrated that hepatokines contribute to whole body glucose and lipid homeostasis through acting in an endocrine-like fashion. Understanding how circulating concentrations of these hepatokines can be manipulated in humans is essential, as impaired blood glucose and lipid control is a key feature of metabolic diseases, such as type 2 diabetes and non-alcoholic fatty liver disease.

Previous research at Loughborough University has found that acute high-fat overfeeding for up to seven days can impair glycaemic control; however, the exact mechanisms responsible for these detrimental changes are not fully understood. Based upon previous evidence that hepatokine production is nutritionally modulated, the investigators believe that changes in hepatokine production may play a role in the detrimental metabolic effects seen following short-term, high-fat overfeeding which has implications for long-term metabolic health.

Appetite regulation is also thought to play a role in the pathophysiology of obesity and insulin resistance, as the impaired secretion of several appetite regulatory hormones in both fasting and postprandial conditions has been observed in obesity, which is characterised by an chronic excessive energy intake. Therefore, the investigators are also interested to examine the appetite regulatory hormone response to short-term, high-fat overfeeding.

The present study is a randomised, controlled, crossover study in which twelve recreationally active, healthy males will consume both a hypercaloric, high-fat diet (consisting of 50% extra energy above the daily requirement, 65% of which is fat) and a control diet (the participants' habitual diet) in a randomised fashion. A three-week washout period will separate the two diets in order to remove any lasting effects confounding the subsequent diet.

Following a prescreening session in which anthropometric data will be collected, participants will commence their first dietary condition. An oral glucose tolerance test will be performed before and after the two diets to measure changes in glycaemic control/whole body insulin sensitivity. Further blood samples will be taken 24 hours and 72 hours after commencing the diets in order to observe the time course of any changes in circulating hepatokine and appetite hormone concentrations. Physical activity will also be monitored for the duration of the two dietary conditions to ensure that habitual physical activity levels are maintained.


Recruitment information / eligibility

Status Completed
Enrollment 12
Est. completion date July 31, 2018
Est. primary completion date July 31, 2018
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Male
Age group 18 Years to 40 Years
Eligibility Inclusion Criteria:

- Recreationally active - = 2 structured exercise sessions per week

- BMI between 18.5 - 27.9 kg/m2

- Body fat percentage < 20%

- Metabolically healthy - No known cardiovascular or metabolic disease such as diabetes, respiratory or heart disease.

- Non-smoker

- Weight stable in the past 6 months

- Normal fasting blood glucose levels (3.6 - 5.5 mmol/l)

Exclusion Criteria:

- Contraindications to exercise

- Needle Phobia

Study Design


Intervention

Dietary Supplement:
High-fat diet
The high-fat diet will provide 7 days of overfeeding comprising of: +50% extra calories above the daily required intake, 65% of which is fat.

Locations

Country Name City State
United Kingdom National Centre for Sport and Exercise Medicine, Loughborough University Loughborough Leicestershire
United Kingdom Clifton Campus, Nottingham Trent University Nottingham Nottinghamshire

Sponsors (3)

Lead Sponsor Collaborator
Loughborough University Nottingham Trent University, Nottingham University Hospitals NHS Trust

Country where clinical trial is conducted

United Kingdom, 

References & Publications (9)

Badman MK, Pissios P, Kennedy AR, Koukos G, Flier JS, Maratos-Flier E. Hepatic fibroblast growth factor 21 is regulated by PPARalpha and is a key mediator of hepatic lipid metabolism in ketotic states. Cell Metab. 2007 Jun;5(6):426-37. — View Citation

Dasgupta S, Bhattacharya S, Biswas A, Majumdar SS, Mukhopadhyay S, Ray S, Bhattacharya S. NF-kappaB mediates lipid-induced fetuin-A expression in hepatocytes that impairs adipocyte function effecting insulin resistance. Biochem J. 2010 Aug 1;429(3):451-62. doi: 10.1042/BJ20100330. — View Citation

Groop LC. Insulin resistance: the fundamental trigger of type 2 diabetes. Diabetes Obes Metab. 1999 May;1 Suppl 1:S1-7. Review. — View Citation

Hulston CJ, Churnside AA, Venables MC. Probiotic supplementation prevents high-fat, overfeeding-induced insulin resistance in human subjects. Br J Nutr. 2015 Feb 28;113(4):596-602. doi: 10.1017/S0007114514004097. Epub 2015 Jan 29. — View Citation

Lan F, Misu H, Chikamoto K, Takayama H, Kikuchi A, Mohri K, Takata N, Hayashi H, Matsuzawa-Nagata N, Takeshita Y, Noda H, Matsumoto Y, Ota T, Nagano T, Nakagen M, Miyamoto K, Takatsuki K, Seo T, Iwayama K, Tokuyama K, Matsugo S, Tang H, Saito Y, Yamagoe S, Kaneko S, Takamura T. LECT2 functions as a hepatokine that links obesity to skeletal muscle insulin resistance. Diabetes. 2014 May;63(5):1649-64. doi: 10.2337/db13-0728. Epub 2014 Jan 29. — View Citation

Lean ME, Malkova D. Altered gut and adipose tissue hormones in overweight and obese individuals: cause or consequence? Int J Obes (Lond). 2016 Apr;40(4):622-32. doi: 10.1038/ijo.2015.220. Epub 2015 Oct 26. Review. — View Citation

Meex RCR, Watt MJ. Hepatokines: linking nonalcoholic fatty liver disease and insulin resistance. Nat Rev Endocrinol. 2017 Sep;13(9):509-520. doi: 10.1038/nrendo.2017.56. Epub 2017 Jun 9. Review. — View Citation

Parry SA, Smith JR, Corbett TR, Woods RM, Hulston CJ. Short-term, high-fat overfeeding impairs glycaemic control but does not alter gut hormone responses to a mixed meal tolerance test in healthy, normal-weight individuals. Br J Nutr. 2017 Jan;117(1):48-55. doi: 10.1017/S0007114516004475. Epub 2017 Jan 24. Erratum in: Br J Nutr. 2017 Feb;117(4):622. — View Citation

Uebanso T, Taketani Y, Yamamoto H, Amo K, Ominami H, Arai H, Takei Y, Masuda M, Tanimura A, Harada N, Yamanaka-Okumura H, Takeda E. Paradoxical regulation of human FGF21 by both fasting and feeding signals: is FGF21 a nutritional adaptation factor? PLoS One. 2011;6(8):e22976. doi: 10.1371/journal.pone.0022976. Epub 2011 Aug 1. — View Citation

Outcome

Type Measure Description Time frame Safety issue
Primary Leukocyte cell-derived chemotaxin 2 (LECT2) Time-course of LECT2 plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary Fibroblast growth factor 21 (FGF21) Time-course of FGF21 plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary Fetuin-A Time-course of Fetuin-A plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary Acylated ghrelin Time-course of acylated ghrelin plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary Peptide YY (PYY) Time-course of PYY plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary C-Terminal Telopeptide of Type 1 Collagen (CTX) Time-course of CTX plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary N-Terminal Propeptide of Type 1 Procollagen (P1NP) Time-course of P1NP plasma concentrations across the 7-day dietary interventions Baseline, 1 day, 3 days, 7 days
Secondary Visual Analogue Scale for Subjective Ratings of Appetite Time-course of subjective ratings of hunger across the 7-day dietary interventions, measured using an appetite visual analogue scale. The scale is divided into subscales of different appetite perceptions including: hunger, fullness, satisfaction and prospective food consumption. Each subscale is rated on a 100mm scale (i.e. from 0 - 100), with a rating of 100 fully supporting the perception and a rating of 0 fully opposing the perception. Baseline, 1 day, 3 days, 7 days
Secondary Subjective food preference Time-course of subjective food preference across the 7-day dietary interventions, measured using the Leeds Food Preference Questionnaire. Baseline, 1 day, 3 days, 7 days
Secondary Whole-body insulin sensitivity Changes in whole-body insulin sensitivity using the Matsuda Index, calculated from plasma glucose and insulin concentrations during the oral glucose tolerance test Baseline, 7 Days
Secondary Homeostasis model assessment of insulin resistance (HOMA-IR) Changes in HOMA-IR (a marker of hepatic insulin resistance) using baseline concentrations of plasma glucose and insulin. Baseline, 1 day, 3 days, 7 days
Secondary Adipose tissue insulin resistance (ADIPO-IR) Changes in ADIPO-IR using baseline concentrations of plasma insulin and non-esterified free fatty acids. Baseline, 1 day, 3 days, 7 days
Secondary Physical activity and sedentary behaviour Amounts of sitting time, standing time, light activity and moderate-vigorous activity will be measured across the duration of each diets to compare between the two. This will be Measured using Acitgraph and ActivPAL monitors. 7 days (per diet)
Secondary Resting Metabolic Rate Changes in resting metabolic rate in response to the diets will be measured using indirect calorimetry and estimated using the Haldane transformation. Baseline, 7 Days
Secondary Fat Oxidation Changes in fat oxidation in response to the diets will be measured using indirect calorimetry and estimated using the Haldane transformation. Baseline, 7 Days
Secondary Blood pressure Changes in blood pressure (systolic and diastolic) across the two dietary interventions will be measured using an automated pressure cuff. Baseline, 1 day, 3 days, 7 days
Secondary Body weight Changes in body weight across the two dietary interventions. Baseline, 1 day, 3 days, 7 days
Secondary Body fat percentage Changes in body fat percentage across the two dietary interventions using bioelectrical impedance analysis. Baseline, 7 Days
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