| Literature DB >> 31126118 |
María Benlloch1, María Mar López-Rodríguez2, María Cuerda-Ballester3, Eraci Drehmer4, Sandra Carrera5, Jose Joaquin Ceron6, Asta Tvarijonaviciute7, Javier Chirivella8, David Fernández-García9, Jose Enrique de la Rubia Ortí10.
Abstract
BACKGROUND: It was previously established that Multiple sclerosis (MS) generates energy alterations at the mitochondrial level related to the loss of muscle mass. Ketone bodies, mainly beta-hydroxybutyrate (BHB), re-establish this energy alteration causing satiety, changes in body composition and a decrease in hormone-dependant hunger, such as ghrelin. The aim of this study was to establish possible improvements in body composition and the level of oxidation in patients with MS, by means of the satiating effect of a ketogenic diet.Entities:
Keywords: ghrelin; ketogenic diet; multiple sclerosis; paraoxonase 1; satiety; β-hydroxybutyrate
Mesh:
Substances:
Year: 2019 PMID: 31126118 PMCID: PMC6566517 DOI: 10.3390/nu11051156
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Sociodemographic characteristics of the study population.
| Measure | Frequency | % | |
|---|---|---|---|
| MS Type | Primary progressive MS | 1 | 3.7% |
| Relapsing-remitting MS | 20 | 74.1% | |
| Secondary progressive MS | 6 | 22.2% | |
| Gender | Men | 5 | 18.5% |
| Women | 22 | 81.5% | |
|
|
| ||
| Age (years) | 44.56 | 11.27 | |
| Time from MS Diagnosis (years) | 12 | 10 | |
MS: Multiple sclerosis. SD: Standard Deviation.
Dietary habits of the study population prior to the intervention.
| Measure | Mean | SD |
|---|---|---|
| No. of meals a day | 4.00 | 0.83 |
| No. of monthly intakes of main nutrients | ||
| Dairy | 16.81 | 12.89 |
| Cheeses | 11.37 | 9.86 |
| Dairy desserts | 0.78 | 2.49 |
| Vegetables | 19.26 | 8.81 |
| Fruit | 22.67 | 8.52 |
| Juice | 9.93 | 12.02 |
| Nuts | 14.89 | 10.23 |
| Meat | 12.37 | 6.97 |
| Fish | 8.07 | 4.59 |
| Seafood | 3.37 | 3.25 |
| Eggs | 10.22 | 5.24 |
| Tubers | 10.22 | 5.56 |
| Rice | 7.56 | 3.39 |
| Legumes | 6.22 | 4.59 |
| Pasta | 6.52 | 4.17 |
| Cold meats | 14.74 | 10.66 |
| Snacks | 2.89 | 3.89 |
| Pastries | 12.41 | 11.19 |
| Chocolate bars | 10.19 | 10.50 |
| Soft drinks | 5.81 | 8.87 |
| Fermented alcohol | 6.15 | 7.39 |
| Distilled alcohol | 0.15 | 0.46 |
SD: Standard deviation.
Changes in satiety and hunger, muscle and fat, and BHB (beta-hydroxybutyrate), PON1 (paraoxonase 1) and ghrelin levels in serum.
| Measure | Pre-Test | Post-Test | Z |
| ||
|---|---|---|---|---|---|---|
| Mean | SD | Mean | SD | |||
| Before breakfast satiety | 4.44 | 3.06 | 5.15 | 2.63 | –1.143 | 0.253 |
| After breakfast satiety | 5.38 | 2.76 | 6.64 | 2.76 | –1.480 | 0.139 |
| Before lunch satiety | 3.26 | 3.16 | 6.22 | 2.58 | –3.387 | 0.001 * |
| After lunch satiety | 4.56 | 2.75 | 8.07 | 1.72 | –3.802 | 0.000 * |
| Before dinner satiety | 3.90 | 2.92 | 5.80 | 2.71 | –2.800 | 0.005 * |
| After dinner satiety | 5.46 | 2.13 | 7.89 | 2.15 | –3.876 | 0.000 * |
| BHB (Mmol/L) | 0.06 | 0.04 | 0.10 | 0.10 | –2.005 | 0.045 * |
| Fat % | 19.53 | 3.78 | 17.74 | 3.32 | –4.421 | 0.000 * |
| Muscle % | 39.39 | 2.88 | 40.22 | 2.86 | –2.955 | 0.003 * |
| PON1 (UI/L) | 2.67 | 0.62 | 2.92 | 0.68 | –3.722 | 0.000 * |
| Hunger before breakfast | 3.27 | 2.17 | 3.14 | 3.35 | –0.622 | 0.534 |
| Hunger after breakfast | 2.88 | 2.38 | 2.25 | 1.93 | –1.677 | 0.094 |
| Hunger before lunch | 6.46 | 2.13 | 2.15 | 2.37 | –4.306 | 0.000 * |
| Hunger after lunch | 5.38 | 2.27 | 1.02 | 1.80 | –4.346 | 0.000 * |
| Hunger before dinner | 5.59 | 2.24 | 2.54 | 2.99 | –4.077 | 0.000 * |
| Hunger after dinner | 3.82 | 2.66 | 0.91 | 1.71 | –3.744 | 0.000 * |
| Ghrelin (pg/mL) | 24.04 | 36.75 | 24.97 | 48.94 | –0.216 | 0.829 |
SD: Standard Deviation; Z: Wilcoxon signed-rank test; BHB: beta-hydroxybutyrate; * p < 0.005.
Figure 1Changes in muscle and fat percentage and PON1 (paraoxonase 1) levels in serum. (A) N = 27; Body composition measurements were taken using the Faulkner method; Wilcoxon signed-rank test showed a significant increase in muscle mass (p = 0.003). (B) N = 27; Body composition measurements were taken using the Faulkner method; Wilcoxon signed-rank test showed a significant decrease in fat mass (p = 0.000). (C) N = 27; The PON1 activity was measured by using 4-Nitrophenyl acetate; Wilcoxon signed-rank test showed a significant increase in PON1 (p = 0.000).
Figure 2The effects of the ketogenic diet on different organs. (A) The beta-hydroxybutyrate (BHB) ketone body changes the way energy is used in the brain, increasing medium-chain triglycerides (MCT)1 and MCT4 in the astrocytes, which are part of the blood-brain barrier (BBB) and decreasing glucose transporter 1 (GLUT1) of the blood vessels of the BBB, being responsible for transporting ketone bodies and glucose, respectively, to the Central Nervous System (CNS). Ketone bodies have anabolic and anti-catabolic activity in the skeletal muscle. Finally, ghrelin joins its specific receptor (GHS1a) within the CNS, activating the Y neuropeptide. (B) Possible effects of the ketogenic diet on different organs y molecules (PON1). After the intervention, an increase in BHB production was observed. In addition, the increased perception of satiety during lunch and dinner raises the possibility that this increase will be greater in these temporal intervals (2:00 p.m and 9.30 p.m) depending on the time of administration of coconut oil. Regarding ghrelin, fasting levels are maintained as before the start of the intervention. However, depending on the interaction with the production of ketonic bodies already described, the production could decrease coinciding with the increase of BHB (2:00 p.m and 9.30 p.m). These two associated processes may explain the increase in muscle and the decrease in fat. Both aspects would be related to a better metabolic profile, evidenced by the higher production of PON1 in the liver as an anti-inflammatory marker.