Summary
Carnosine is a performance-enhancing food supplement with a potential to modulate muscle energy metabolism and toxic metabolites disposal. In this study we explored interrelations between carnosine supplementation (2 g/day, 12 weeks) induced effects on carnosine muscle loading and parallel changes in (i) muscle energy metabolism, (ii) serum albumin glycation and (iii) reactive carbonyl species sequestering in twelve (M/F=10/2) sedentary, overweight-to-obese (BMI: 30.0±2.7 kg/m2) adults (40.1±6.2 years). Muscle carnosine concentration (Proton Magnetic Resonance Spectroscopy; 1H-MRS), dynamics of muscle energy metabolism (Phosphorus Magnetic Resonance Spectroscopy; 31P-MRS), body composition (Magnetic Resonance Imaging; MRI), resting energy expenditure (indirect calorimetry), glucose tolerance (oGTT), habitual physical activity (accelerometers), serum carnosine and carnosinase-1 content/activity (ELISA), albumin glycation, urinary carnosine and carnosine-propanal concentration (mass spectrometry) were measured. Supplementation-induced increase in muscle carnosine was paralleled by improved dynamics of muscle post-exercise phosphocreatine recovery, decreased serum albumin glycation and enhanced urinary carnosine-propanal excretion (all p<0.05). Magnitude of supplementation-induced muscle carnosine accumulation was higher in individuals with lower baseline muscle carnosine, who had lower BMI, higher physical activity level, lower resting intramuscular pH, but similar muscle mass and dietary protein preference. Level of supplementation-induced increase in muscle carnosine correlated with reduction of protein glycation, increase in reactive carbonyl species sequestering, and acceleration of muscle post-exercise phosphocreatine recovery.
Keywords: Carnosine supplementation, Muscle carnosine concentration, Phosphocreatine post-exercise recovery, Reactive carbonyl species, Protein glycation
Introduction
Since 1975, the worldwide prevalence of obesity has nearly tripled and reached pandemic proportions [1], notably due to the lack of effective and accessible preventive and therapeutic strategies. Prediabetes and type 2 diabetes (T2D] represent the most common obesity-associated metabolic disease, and their increasing incidence parallels obesity and sedentary lifestyle epidemics which substantially contribute to the disruption of glucose homeostasis [2]. Lifestyle interventions, based on exercise, nutritional counselling, and weight loss, were found to be effective in T2D prevention [3,4]. Safe and low-cost interventions, with a potential to act in synergy with lifestyle modification to counteract health, social and economic burdens linked to obesity and related metabolic complications, could bring additional benefits for the patients and health care systems.
The potential role of carnosine (β-alanyl-L-histidine) in prevention and treatment of metabolic [5], cardiovascular [5] and neurodegenerative diseases [6] has been identified. Favourable metabolic effects of this dipeptide include lowering chronic inflammation, oxidative stress, advanced glycation and lipoxidation end-products, as well as chelating and pH buffering properties [7]. Large body of evidence from animal and cell studies point at the potential use of carnosine or its precursors to improve glucose metabolism [8–12], and limited evidence from clinical studies shows the beneficial effects on muscle metabolism [13]. In animal studies, carnosine clearly showed a potential to modulate insulin signalling, to improve insulin-stimulated glucose uptake in the muscle, and insulin secretion through decreasing lipid peroxidation in pancreatic beta-cells and capacity to regulate appetite and lipolysis [14]. These all are a plausible mechanisms of carnosine action in reducing the risk of type 2 diabetes (T2D). Previously published results of this study showed that 3-month carnosine supplementation has a potential to improve glucose tolerance in sedentary middle-aged obese individuals with prediabetes [15], that it could induce favorable changes in plasma lipidome, iron metabolism and reciprocal regulation of plasma leptin and resistin [16,17], but its capacity to modulate dynamics of exercise-related muscle energy metabolism has not yet been examined.
Phosphorus and proton Magnetic Resonance Spectroscopy (31P-MRS and 1H-MRS) has been recognized as a reliable non-invasive tool to assess in vivo dynamics of human muscle energy metabolism as well as carnosine content [18]. Two human studies to date analyzed skeletal muscle carnosine content in patients with diabetes but reported discrepant results [19,20]. Our group has previously highlighted the positive relationship between muscle carnosine and the impairment of whole-body glucose metabolism in sedentary middle-aged men, with the highest muscle carnosine content found in newly diagnosed drug-naive patients with T2D [20]. However, the effects of carnosine supplementation, on muscle carnosine content and its potential role in modulating muscle energy metabolism and systemic metabolic changes in individuals with the high risk of metabolic disease remain relatively unexplored [1]. Therefore, we analyzed the outcomes of the dynamic 31P-MRS examination in muscle of the patients from our carnosine supplementation study [15] to prove the hypothesis that interrelations between supplementation-induced changes in muscle carnosine, and (i) exercise-related dynamics of muscle energy metabolism, (ii) serum albumin glycation and (iii) reactive carbonyl species sequestering exist and require further investigation.
Methods
Study design and participants
The study was performed from September 2013 to July 2014. Volunteers were recruited from the community via newspaper advertisement and the study was performed at the Institute of Experimental Endocrinology, Biomedical Research Center Slovak Academy of Sciences, Bratislava, Slovakia. In the study protocol of the original randomized placebo-controlled clinical trial, which is depicted in Figure 1 and the primary outcomes and sample size calculation were previously published in [15], participants were randomly assigned to receive 2 g carnosine per day (2×1 g) or identically looking placebo for 12 weeks. Adherence to the intervention was encouraged by weekly telephone contact and anthropometric measurements were performed monthly. Carnosine supplementation was well-tolerated, and the participants did not report any side effects, which corresponds to the evidence from previous studies reporting its favorable safety profile [22]. All the participants were middle-aged healthy overweight or obese (BMI ≥25 kg/m2), non-diabetic (75 g oGTT; oral glucose tolerance test, ADA criteria 2006) non-smokers who did not participate in any regular structured physical activity (>3 times of >1 h of aerobic and/or strength exercise per week, Physical activity guidelines for adults by World Health Organization) and did not use illicit drugs or take any medications or food supplements. In this report, we present results of the exploratory analysis in a subgroup of 12 individuals receiving carnosine who were willing to undergo dynamic 7T 31P-MRS examination of exercising calf muscles before and after 12-week carnosine supplementation. Placebo group was not measured due to capacity constraints. Results of this report could therefore only have the validity of the single-arm non-controlled interventional trial aimed at depicting interrelations without any inference on causality. This study conforms to the Declaration of Helsinki and all procedures involving patients were approved by The Ethics Committee of the University Hospital Bratislava (06907/2016/HF/4). Written informed consent was obtained from all subjects prior entering the study. Study was registered at Clinicaltrials.gov (NCT02011100).
Fig. 1.
Flowchart of the study.
Metabolic phenotyping
Body Mass Index (BMI) was calculated, and waist circumference measured. Bioelectric impedance (Omron-BF511, Japan) was used to assess body composition. Blood pressure (Johnson & Johnson Inc., UK) was measured in a sitting position after 30 min rest. Indirect calorimetry (Geratherm Respiratory, Germany) was used to measure resting energy expenditure (REE) and metabolic substrate preference (RQ) during 30 min bed rest at thermal comfort.
Here we present the results of an oral glucose tolerance test (2h-oGTT, 75 g of glucose) performed before intervention, to show that we work with the nondiabetic population.
Serum glucose, insulin, total cholesterol, high-density lipoprotein (HDL)-cholesterol, triglycerides and hsCRP were analysed (Alpha-medical, Slovakia). Urinary and serum levels of carnosine and carnosine-propanal were measured with (LC-ESI-MS) as described in [23]. Serum carnosinase content and activity were measured using a sandwich ELISA [18]. The volume of habitual ambulatory activity was measured during at least three consecutive days with accelerometers (Lifecorder Plus, Kenz, USA). Protein-preference score was calculated from the validated 72-food-items food preference questionnaire [24].
Magnetic Resonance Spectroscopy
Skeletal muscle carnosine content was measured using 1H-MRS on 7T whole-body MR scanner (Magnetom, Siemens-Healthcare, Germany). Measurements were performed in a supine position with the widest part of the right calf placed in the middle of RF coil in the magnet iso-center using single-voxel MR spectroscopy positioned in gastrocnemius and soleus muscle. Dynamic 7T 31P-MRS was used for non-invasive evaluation of changes in oxidative metabolism in gastrocnemius muscle during submaximal exercise performed in situ, using MR-compatible ergometer (Ergospect, Austria) and a surface 1H/31P coil (Rapid Biomedical, Germany) as previously described [25,26]. Using this technique, dynamic changes of phosphocreatine content and recovery, maximal oxidative flux and muscle pH were assessed during an acute bout of 6 min exercise and within a 6 min lasting recovery period.
Statistical analysis
Pearson linear correlation analysis was performed, and paired t-test was applied to assess the carnosine-supplementation effects together with the two-way RM-ANOVA to evaluate group effects (differences between individuals stratified according to baseline muscle carnosine content), time effects (effects of carnosine supplementation, irrespective of baseline muscle carnosine) and group/time interactions. Normally distributed data were analysed using a parametric test (Welch’s t-test) and the data which were not normally distributed with a non-parametric test (Mann-Whitney U test). Supplementation-induced fold-change is a ratio of post- to pre-supplementation values. Data are presented as mean ± STD, p<0.05. JMP ver.4 (SAS, USA) was used.
Results
The supplementation-induced change of muscle carnosine content (in both gastrocnemius and soleus muscle) correlated negatively with the concurrent change of the time needed for post-exercise recovery of muscle phosphocreatine (τPCr) (Fig. 2A). The importance of carnosine for muscle energy metabolism could also be indicated by a positive correlation between muscle carnosine and resting phosphocreatine content (gastrocnemius muscle; R=0.663, p=0.026). In addition, increase in muscle carnosine was paralleled by increased urinary carnosine propanal (Fig 2B), and by decreased serum content of glycated albumin (Fig. 2C). Change in muscle carnosine correlated positively with the concurrent change of serum carnosinase-1 (CN1) protein content (R=0.693, p=0.0003).
Fig. 2.
Interrelations between supplementation-induced change of skeletal muscle carnosine content and parallel changes (A) in time constant of phosphocreatine recovery (τPCr), (B) of urinary carnosine propanal content, (C) of glycated serum albumin (gHSA). Low and high carnosine groups differed in (D) body mass index (BMI), (E) habitual ambulatory activity and (F) resting intramuscular pH, * p<0.015, *** p<0.001.
The observed complex interrelations at the baseline non-exercise state could be explained by the supplementation-induced decrease in serum CN1 activity, a tendency to increase muscle carnosine content (in both muscles), increase in resting level of muscle phosphocreatine, and elevated urinary carnosine excretion (Table 1). However, it could be speculated that the variability in muscle carnosine loading could perhaps prevents the supplementation-induced change in the post-exercise phosphocreatine recovery (τPCr, time constant of PCr recovery) and exercise-related ATP flux (Qmax) i.e. the functional parameters active in m. gastrocnemius during or immediately after in-magnet exercise (Table 1).
Table 1.
Effects of carnosine supplementation on parameters of whole-body and muscle-specific energy metabolism.
| Clinical phenotypes | Entire population (n=12) | Lower baseline muscle carnosine (n=6) | Higher baseline muscle carnosine (n=6) | Repeated measures 2-way ANOVA | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline | Carnosine suppl. | Baseline | Carnosine suppl. | Baseline | Carnosine suppl. | Group | Time | Group × time | ||||
| Sex (F/M) | 2/10 | 2/10 | 2/4 | 2/4 | 0/6 | 0/6 | ||||||
| mean ± STD | mean ± STD | mean ± STD | mean ± STD | mean ± STD | mean ± STD | F-value | p-value | F-value | p-value | F-value | p-value | |
| Age (years) | 40.1±6.7 | 40.5±6.1 | 39.7±7.9 | |||||||||
| Carnosine m. gastr. (mM) | 4.75±1.74 | 5.95±2.41 | 3.42±1.35 | 6.43±3.35 * | 6.09±0.74 # | 5.47±1.00 | 0.729 | 0.413 | 6.46 | 0.029 | 14.8 | 0.003 |
| ♪Carnosine m. soleus (mM) | 3.72±1.45 | 4.81±1.22 * | 3.03±0.68 | 4.64±1.09 * | 4.75±0.78 | 5.01±1.46 | % − | − | − | − | − | − |
| Carnosine urine (μmol/l) | 0.80±0.60 | 1.33±0.81 § | 0.63±0.85 | 1.10±0.99 | 0.96±0.35 | 1.56±0.62 * | 0.06 | 0.819 | 3.68 | 0.084 | 0.03 | 0.865 |
| Carnosine propanal urine (nmol/ml) | 0.68±0.59 | 0.82±0.66 | 0.73±0.33 | 0.85±0.27 | 0.63±0.16 | 0.85±0.27 | 0.032 | 0.861 | 0.48 | 0.504 | 0.04 | 0.854 |
| Glycated HSA (%) | 17.4±0.8 | 17.2±0.9 | 17.6±0.3 | 17.1±0.03 | 17.2±0.3 | 17.3±0.3 | 0.3 | 0.865 | 1.62 | 0.232 | 4.61 | 0.057 |
| CN1 content (μg/ml) | 58.4±19.7 | 54.4±17.2 | 64.8±26.0 | 62.1±19.5 | 52.1±9.2 | 46.7±11.2 | 2.08 | 0.180 | 1.68 | 0.224 | 0.19 | 0.675 |
| CN1 act. (μmol/ml/h) | 2.09±0.59 | 1.57±0.64 * | 2.24±0.77 | 1.68±0.68 | 1.93±0.34 | 1.46±0.64 | 0.77 | 0.400 | 6.75 | 0.027 | 0.06 | 0.816 |
| Body weight (kg) | 96.0±18.2 | 97.0±16.8 | 83±5.7 | 85.7±5.7 | 109±4.6 # | 108.3±4.6 | 11.2 | 0.007 | 1.32 | 0.277 | 3.79 | 0.080 |
| BMI (kg/m2) | 30.0±4.2 | 30.3±3.6 | 26.8±2.6 | 27.7±1.0 | 33.2±2.7 # | 33.0±1.1 | 16.6 | 0.002 | 1.29 | 0.283 | 4.12 | 0.070 |
| Body fat (%) | 30.4±6.6 | 31.1±6.1 | 30.0±1.1 | 30.9±3.6 | 30.8±1.5 | 31.3±1.4 | 0.02 | 0.886 | 3.46 | 0.092 | 0.40 | 0.540 |
| Muscle mass (%) | 32.0±3.8 | 31.8±3.9 | 31.8±5.4 | 32.0±2.2 | 32.2±1.6 | 31.6±0.8 | 0.01 | 0.989 | 0.53 | 0.484 | 1.80 | 0.210 |
| Waist circumference (cm) | 99.3±11.8 | 99.8±11.5 | 91.3±4.1 | 91.3±4.0 | 107.3±3.3 # | 107.0±3.2 | 8.74 | 0.014 | 0.45 | 0.518 | 1.25 | 0.29 |
| Handgrip strength – right (kg) | 43.1±10.9 | 44.2±10.6 | 41.9±4.6 | 43.2±4.5 | 44.2±4.6 | 45.2±4.3 | 0.12 | 0.741 | 1.85 | 0.204 | 0.05 | 0.838 |
| Handgrip strength – left (kg) | 38.4±8.6 | 37.4±6.4 | 35.7±3.1 | 35.3±3.1 | 41.1±3.0 | 39.5±3.1 | 1.35 | 0.273 | 0.65 | 0.438 | 0.24 | 0.638 |
| Habitual activity (steps/active hour@) | 639±229 | 728±229 | 675±165 | 740±190 | 495±55 | 600±171 | 5.96 | 0.025 | 0.03 | 0.855 | 2.43 | 0.103 |
| Protein preference (score 0–9)& | 6.3±1.1 | 6.3±1.2 | 6.4±0.4 | 6.9±0.4 | 5.9±0.5 | 5.4±0.5 | 0.26 | 0.976 | 0.01 | 0.987 | 0.95 | 0.354 |
| REE (kcal/kg/24 h) | 31.8±6.2 | 28.6±2.6 | 32.6±2.3 | 28.9±2.2 | 31.0±2.0 | 28.3±1.8 | 0.22 | 0.646 | 3.34 | 0.097 | 0.07 | 0.792 |
| RQ (VCO2/VO2) | 0.80±0.09 | 0.83±0.08 | 0.84±0.09 | 0.83±0.04 | 0.76±0.08 | 0.83±0.03 | 0.71 | 0.421 | 1.17 | 0.305 | 1.86 | 0.202 |
| pH baseline m. gastr. | 7.04±0.04 | 7.05±0.04 | 7.03±0.01 | 7.03±0.01 | 7.05±0.01 | 7.07±70.01 | 6.34 | 0.033 | 0.74 | 0.412 | 0.21 | 0.654 |
| pH post-exercise m. gastr. | 6.96±0.12 | 6.94±0.13 | 6.95±0.05 | 6.95±0.05 | 7.01±0.06 | 6.93±0.06 | 0.08 | 0.79 | 0.84 | 0.383 | 0.83 | 0.387 |
| PCr baseline m. gastr. (mM) | 32.7±2.8 | 35.2±4.9 § | 31.5±1.9 | 33.6±1.7 | 33.7±1.5 | 36.9±1.5 | 1.58 | 0.241 | 4.23 | 0.07 | 0.06 | 0.806 |
| τPCr m. gastr. (s) | 51.2±21.2 | 50.8±18.2 | 57.3±9.3 | 44.5±8.5 | 46.1±7.6 | 57.2±7.6 | 0.01 | 0.969 | 0.01 | 0.949 | 2.43 | 0.154 |
| Qmax m. gastr. (mM/s) | 0.45±0.20 | 0.51±0.17 | 0.47±0.09 | 0.52±0.08 | 0.43±0.08 | 0.51±0.08 | 0.07 | 0.798 | 2.65 | 0.138 | 0.01 | 0.948 |
Carnosine content in skeletal muscle was assessed by 1H-MRS (Magnetic Resonance Spectroscopy). Data are presented as mean ± STD.
denotes supplementation-induced change (paired t-test, p<0.05).
denotes a trend to supplementation-induced change (paired t-test, p<0.1).
marks the difference between individuals with high and low baseline muscle carnosine (unpaired t-test, p<0.05). RM two-way ANOVA was used.
active hour: at least 50 steps per hour. BMI, Body Mass Index; BP, blood pressure; REE, Resting Energy Expenditure; RQ, respiratory quotient; FFA, Free Fatty Acids; HSA, Human Serum Albumin; CN1, carnosinase-1; A.U., Arbitrary Units; PCr, phosphocreatine; τPCr, time constant of phosphocreatine/PCr recovery; Qmax, maximal oxidative flux.
measurement was successfully performed in 9 individuals. & Food preference questionnaire [24].
We therefore explored the variability in the supplementation-induced increase of muscle carnosine. Concordant response to carnosine supplementation in both examined muscles is indicated by correlation between supplementation-induced change of carnosine in m. soleus and m. gastrocnemius (R=0.881, p=0.014). Individual differences in muscle mass or dietary preference for proteins did not explain variability in muscle carnosine loading capacity but could be related to serum CN1 content (Table 1). Moreover, a negative correlation between baseline/pre-intervention muscle carnosine content and its supplementation-induced increase (gastrocnemius muscle; R=−0.789, p=0.031) indicated that individuals with lower baseline muscle carnosine are more likely to accumulate carnosine during supplementation (Table 1). The median value of baseline muscle carnosine was therefore used to stratify the population into low- and high-carnosine containing groups. Individuals in low carnosine group were characterized by lower BMI and waist circumference, and higher habitual ambulatory activity, while resting pH of their gastrocnemius muscle was lower (Fig. 2D–F, Table 1). Intramuscular carnosine content tended to correlate positively with resting intramuscular pH (soleus muscle; r=0.409, p=0.059).
Discussion
Here we described the link between changes in muscle carnosine content induced by carnosine supplementation and changes in the whole-body and muscle energy metabolism, enhanced reactive carbonyl species sequestering capacity and reduced protein glycation. Supplementation with carnosine or its precursor β-alanine has been shown to improve dynamic knee extension torque in sprint-trained athletes [27] as well as performance capacity during high intensity cycling (110 % Wmax) [28] and anaerobic exercise [29]. Recently we showed that muscle carnosine concentration correlates positively with the dynamics of intramuscular phosphocreatine post-exercise recovery in a cohort of 15 young and 19 elderly individuals. This indirectly indicates that carnosine content might relate to specific aspects of muscle energy metabolism [30]. Here, we extend this observation by showing that supplementation-induced change in muscle carnosine is paralleled by change of post-exercise phosphocreatine recovery dynamics (τPCr), and that muscle carnosine correlates with resting muscle phosphocreatine content. One recent study measured both carnosine and phosphocreatine in young healthy humans with the aim to assess the relationship between post-exercise phosphocreatine recovery to O2 supply and muscle fiber type, however, the authors used carnosine as a surrogate measure for muscle fiber type only and did not report on a biochemical or physiological relationship to phosphocreatine [31]. It is plausible to speculate that relationship between muscle carnosine and phosphocreatine could be physiologically relevant. Perhaps the pH buffering and antioxidant properties of carnosine, together with its capacity to reduce lactic acid accumulation [32], and to enhance oxidative capacity of skeletal muscle, could be translated to improved dynamics of the phosphocreatine post-exercise recovery.
Importantly, supplementation-induced increase in muscle carnosine was paralleled by a concurrent decrease of serum protein glycation and a correspondent increase of toxic carbonyl species urinary excretion. These observations are in line with the finding that improvements in glucose metabolism and diabetic nephropathy related to 18-weeks of carnosine supplementation were linked to enhanced carnosine adducts urinary excretion in mice model of type 2 diabetes [9] as well as with our previous work showing that carnosine treatment is accompanied by increased urinary content of carnosine and carnosine-acrolein adducts [23]. Carnosine supplementation decreased serum carnosinase-1 activity, and supplementation-induced changes of CN1 protein content correlated with changes in muscle carnosine, indicating the putative importance of the dynamic regulation of CN1.
Carnosine supplementation increased muscle carnosine content specifically in individuals with lower baseline carnosine content, who had lower BMI and abdominal adiposity, were more active in their everyday life, but their muscle mass, preference for dietary protein or compliance to the supplementation, was not different from those who accumulated less muscle carnosine. Our previous report showed that muscle carnosine content increased with the progression of obesity-related metabolic disease and the highest levels were found in patients with newly diagnosed yet untreated type-2-diabetes [20]. Variability of muscle capacity to accumulate carnosine following carnosine/β-alanine supplementation was reported in young and/or physically active individuals [33–36], and in healthy elderly [29]. Individuals in low carnosine group were characterized by higher habitual ambulatory activity and more acidic resting pH of their gastrocnemius muscle. Carnosine content in soleus muscle tended to correlate positively with resting intramuscular pH. Carnosine is well-known for its pH buffering capacity [37]. We have previously shown that baseline intramuscular pH of less carnosine accumulating in soleus muscle containing more oxidative muscle fibers was slightly lower (pH 7.01±0.03), than that in gastrocnemius muscle (pH 7.05±0.02) [18], which is in line with our current observations. Limitations of this pilot-study is a small number of participants and missing MRI/MRS examination in the placebo control group. The outcomes of this report have thus rather exploratory and observational character. However, this study has the capacity to evaluate interrelations between supplementation-induced changes in muscle carnosine and changes in dynamic parameters of exercise-related muscle energy metabolism, carnosine adducts excretion and albumin glycation, as well as to evaluate carnosine-supplementation related effects in patients with low and high baseline muscle carnosine. The changes in muscle carnosine content induced by 12-week carnosine supplementation are linked to the accelerated muscle post-exercise phosphocreatine recovery, decreased protein glycation and enhanced reactive carbonyl species sequestering capacity. These observations suggest that carnosine accumulation in skeletal muscle following the supplementation is greater in leaner, more active individuals, and is paralleled by more pronounced reduction in protein glycation, increased reactive carbonyl species removal and accelerated muscle post-exercise PCr recovery. These effects might contribute to enhanced skeletal muscle metabolism and performance, and subsequently lower the risk of metabolic disease development.
Acknowledgements
We wish to thank Prof. Wim Derave for analyzing circulating carnosinase-1 content/activity, to Dr. Michaela Jakubová, MSc. Lucia Slobodová and Dr. Silvia Vallová for their help and support with the clinical intervention study, and to all the volunteers for their participation, and genuine interest in our work. This research received funding by the Grant Agency of the Slovak Academy of Sciences VEGA 2/0076/22 and VEGA 1/0308/19; Slovak Research and Development Agency SRDA 20-0466; Joint Research Cooperation of Slovak Acad. Sci. (SAS, Slovakia) and Ministry of Science and Technology (MOST, Taiwan) SAS-MOST JRC 2018/10. Carnosine supplement was received from Flamma S.p.A, Italy, encapsulation provided by BIOMIN a.s., Slovakia, L.V. is funded by the Royal Society and Wellcome Trust (Sir Henry Dale Fellowship #098436/Z/12/B). B.deC. is funded by Royal Australasian College of Physicians, Diabetes Australia Research Trust and Foundation for High Blood Pressure Research. Research clinic at BMC SAS is supported by the Operational Programme Integrated Infrastructure for the project: Strengthening of Research, Development and Innovation Capacities of Translational Biomedical Research of Human Diseases, IMTS: 313021BZC9, co-financed by the European Regional Development Fund.
Footnotes
Conflict of Interest
There is no conflict of interest.
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