| Literature DB >> 35822033 |
O Petteri Hirvonen1, Heikki Kyröläinen1, Maarit Lehti1, Heikki Kainulainen1.
Abstract
Background: Based on earlier studies, natural metabolite D-glyceric acid (DGA) does not seem to play any role in whole-body metabolism. Nevertheless, one ethanol oxidation-related rat study with controversial results raised our interest. According to preparatory studies for the regulatory approval of DGA, some highly conserved mechanism seems to subtly activate the cellular energy metabolism. Therefore, the present 25-days double-blind human study with placebo control was initiated. Purpose: The main target in the present study with 27 healthy 50-60-year-old human volunteers was to find out whether an "acute" 4-days and a longer 21-days exogenous DGA regimen caused moderate activation of the mitochondrial energy metabolism. The simultaneous target was to find out whether a halved dose of DGA continued to be an effective regimen. Main Findings: The results revealed the following statistically significant findings: 1) plasma concentrations of metabolites related to aerobic energy production, especially lactate, were strongly reduced, 2) systemic inflammation was lowered both in 4- and 21-days, 3) mitochondria-related mRNA expressions in circulating immune cells were noticeably modulated at Day4, 4) cellular membrane integrity seemed to be sharply enhanced, and 5) cellular NADH/NAD+ -ratio was upregulated.Entities:
Keywords: DGA activation; membrane integrity; mitochondrial activation; re-oxidation; subclinical inflammation
Year: 2021 PMID: 35822033 PMCID: PMC9261421 DOI: 10.3389/fragi.2021.752636
Source DB: PubMed Journal: Front Aging ISSN: 2673-6217
Characteristics of the study group.
| Day0 metrics | Main study group | DGA group | Placebo group |
|---|---|---|---|
| Average Age | 56 years (from 50.3 to 60.9) | 56.5 | 55.2 |
| Average BMI | 25.3 (from 20.1 to 31.7) | 25.0 | 25.8 |
| Avg. VO2max | 35.5 (from 21.8 to 48.8) | 35.1 | 36.1 |
| Female/Male | 16 females and 11 males | 10/7 | 6/4 |
Notes: unit in BMI = weight in kg/(length in meters)2, unit in VO2max = O2 ml/kg/min. VO2max test was based on indirect measurement with a bicycle ergometer (Santtila et al., 2013). All participants executed this routine test of the JyU Sports Laboratory successfully.
FIGURE 1Outline of the Study: Timelines and measurements (A), main phases of study (B), and the acute measurements (C).
FIGURE 2Representative energy substrates under the 4-days DGA regimen, 12 h from last DGA dose, and DGA and insulin (A). Schematic flows of all reported plasma energy substrates at whole-body level (B). Statistical tests are based on intra-individual changes (paired t-tests). Error bars are standard errors of the mean (SEM) of the individual changes.
FIGURE 3Lactate, pyruvate, glucose, and TGs/FAs inflow from plasma and their intracellular metabolism in a cell that can use both FAs and glucose as the main source of energy. Independently of their final use in metabolism (liver or peripheral tissues), the intracellular direction of lactate via pyruvate is towards mitochondria. This is because the cytosolic PK reaction is irreversible. TCA produces most of the NADH for OXPHOS. Glycolysis produces 2 NADH per one glucose. There existed a very strong correlation between the changes of plasma pyruvate and lactate independently of placebo or DGA treatment (>0.90). This correlation strongly indicates that MCTs are able to balance plasma membrane concentration differences efficiently.
FIGURE 421 days (A) and 14 days (B) %-changes in selected plasma energy metabolites and insulin. Statistical tests are based on intra-individual changes. In Figure 4A the changes are from Day 0 and in Figure 4B from Day 4. Horizontal bars in bHB and Insulin indicate statistically significant deviation between the placebo and DGA subgroups.
FIGURE 5Enzyme release of creatine kinase (A), aspartate aminotransferase (B), and alanine aminotransferase (C) into the plasma, and low-grade inflammation markers GlycA (D), hsCRP (E), and IL-6 (F). All statistical tests are based on intra-individual changes. SEM error bars are calculated from absolute values. Notes: 1) Day 21 bars in (A–F) are indexed to Day 0 bars so that the Day 21 results fully reflect the changes from the relevant DGA and placebo subgroups at Day 0. 2) There was one clear outlier in the 4-days result in CK and AST from the same participant (see Supplementary Presentation 1, Figures H,I), and one outlier in IL-6 Day 0 results (Supplementary Presentation 1, Figure P). Additionally, in GlycA (Figure 3D) the highest 1/3 ranked by VO2max deviated clearly from the other participants and from hsCRP (see Supplementary Presentation 1, Figures N,O). These observations have been excluded to achieve normality of the data. Importantly, even including these outliers, the respective changes in CK, AST, GlycA, and IL-6 would have been statistically significant. 3) The hsCRP data is non-normal due to very high volatility. Due to the high volatility median values of hsCRP are presented in (E) and a non-parametric Sign test was used for the 4-days change. 4) All other bars represent arithmetic means and the intraindividual changes for all others were normally disrtibuted. Statistically more powerful paired t-test was used when comparing the intraindividual changes from Day 0 in (A,B,D, and F). 5) Naturally, when comparing the changes from Day 0 to Day 21 in the placebo group vs. the DGA group (ALT and IL-6, (C,F)), a paired t-test could not be used. Instead, a non-paired t-test was used to compare the changes in the placebo vs. DGA for ALT and IL-6.