Effect of six weeks 1000 mg/day Vitamin C supplementation and healthy training in elderly women on genes expression associated with immune response - a randomized controlled trial

doi:10.21203/rs.3.rs-113420/v1

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Effect of six weeks 1000 mg/day Vitamin C supplementation and healthy training in elderly women on genes expression associated with immune response - a randomized controlled trial

https://doi.org/10.21203/rs.3.rs-113420/v1

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published 02 Mar, 2021

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Background

In this study we investigated the effects of supplementation and exercise on the expression of genes associated with inflammation like CCL2, CRP, IL1, IL6, IL10 mRNA in elderly women.

Methods

Twenty four participants divided randomly into two groups were subjected to 6 weeks of the same health training program (three times per week). SUP group (supplemented, n = 12, mean age 72.8 ± 5.26 years and mean body mass 68.1 ± 8.3 kg) received 1000 mg of Vitamin C/day during training period, while CON group (control, n = 12, mean age 72.4 ± 5.5 years and body mass 67.7 ± 7.5 kg) received placebo.

Results

No significant changes in IL-1, IL-6, IL-10 and CRP mRNA were observed within and between groups. However, there was a clear tendency of a decrease in IL-6 (two-way ANOVA, significant for time) and an increase in IL-10 mRNA noted in the supplemented group. A significant decrease in CCL2 mRNA was observed only in the CON group (from 2^0.2 to 2^0.1, p = 0.01).

Conclusions

It can be concluded, that 6 weeks of supplementation and exercise was too short to obtain significant changes in gene expression in leukocytes, but supplementation of 1000 mg vitamin C positively affected IL-6 and IL-10 expression – which are key changes in the adaptation to training. However, changes in body mass, IL1 and CCL2 was positive in CON group. It is possible that Vitamin C during 6 weeks of supplementation could have different effects on the expression of individual genes involved in immune response.

Trial registration: retrospectively registered.

Sports Medicine and Kinesiology

Geriatrics & Gerontology

Immunology

supplementation

aging

genes involved in immune response

Despite many years of research on the impact of antioxidant supplementation on the human health, until now there has been no clear opinion confirming or denying the need for supplementation in healthy subjects. It seems to be obvious that antioxidants should influence antioxidative status in the body. Therefore, supplementation should be effective in any case involving a possible increase in oxidative stress, for example in diseases (i.e. cardiovascular, cancer and others) [1, 2]. Increase in oxidative stress and inflammation also occurs during physical activity [3] and aging [4]. Thus, it seems to be an easy way to improve exercise tolerance as well as preventive therapy against aging [5]. Unfortunately, in the literature the data associated with helpful actions of antioxidant supplementation are ambiguous. For example, Righ et al. [6] and Chou et al. [7] postulated that vitamin C supplementation attenuates both oxidative stress and inflammation in young males participants or Taekwondo athletes. Some studies have shown that despite an increase in antioxidative capacity following vitamin C supplementation, pro/antioxidative status did not change [3]. No changes in the pro/antioxidative balance was associated with with the possible pro-oxidative effect of vitamin C [3, 8]. A decrease in inflammation could disturb normal adaptations to training. According to Mankowski et al. [9], exercise-induced oxidative stress is an important trigger to induce training adaptations. The data from literature in which supplementation was investigated is ambiguous. There are many reasons for differences in the literature data, including different responses to supplementation depending on dose used, type of exercise and age of participants [10, 11, 12].

Fast development of biomedical sciences has increased the average duration of human life, especially in developed countries. Aging is strongly associated with an increase in oxidative stress and inflammation [13]. According to Bektas et al. [14] in most aging individuals, a chronic low-grade proinflammatory state could be observed, and this factor can influence physical and psychological dysfunction. For this reason, in the current literature there are two concepts: healthy aging and inflammation aging [15, 16]. Chronic inflammation could be a cause of inflammation aging and promote development of many diseases such as neurodegenerative disease, cancer and others [17, 18]. Unfortunately, imbalance between pro and antioxidative status accompanies both aging and physical activity. It seems that vitamin C supplementation should be especially helpful for older people subjected to physical effort due to a reduction in prolonged oxidative stress and indirectly, inflammation.

Changes in oxidation status are important for cell survival. It is a main factor that could influence expression of genes associated with cellular stress response, e.g., genes encoding heat shock proteins and interleukins [19, 20]. Cell survival under stressful conditions depends on balance between activation of pro and antiapoptotic pathways [21]. Unfortunately, in the literature there are not many studies in which changes in genes expression caused by supplementation and exercise was investigated, especially in older participants. Recently, we investigated changes in expression of genes associated with iron metabolism, which is also easily induced by oxidative stress in elderly women (part of a wider project on vitamin C supplementation during health training). We concluded that vitamin C supplementation caused a decrease in ferritin mRNA [3]. Indirectly these findings indicate that vitamin C supplementation decreased intracellular free iron and consequently oxidative intracellular status. If this is true, the expression of genes associated with immune response, such as: CCL2, CRP, IL-1, IL-6 and IL-10 should change. These genes encode proteins easily induced by oxidative stress and physical exercise and have great importance for immune response and adaptation to effort. For example, monocyte chemoattractant protein 1, (CCL2 - chemokine (C-C motif) ligand 2) is capable of recruiting monocytes, memory T cells, and dendritic cells to induce a proinflammatory response and is produced by tissue injury [22, 23]. C-reactive protein (CRP - encoded by CRP gene) is a non-specific marker of ongoing inflammation, tissue damage and necrosis. IL-1 and IL-6 are proinflammatory proteins (IL-6 is inhibited by the expression of antiinflammatory IL-10). According to Ziemann et al., [24] increase in antiinflammatory proteins and decrease in proinflammatory expression is crucial for adaptation to exercises.

Until now, most of the data in which inflammation, exercise and aging were investigated concerned plasma or muscle changes caused by vitamin supplementation, such as oxidative and antioxidative status, cortisol, CRP or IL-6 level only in plasma. Thus, the aim of our study was investigation of changes in oxidative stress, antioxidative capacity and the expression of chosen genes associated with inflammation, during 6 weeks of health training supported and unsupported by 1000 mg vitamin C supplementation in elderly women. We assumed, that this supplementation could cause in decrease in intracellular oxidation and a decrease in expression of proinflammatory cytokines mRNA. We also expected an increase in IL-10 mRNA as a positive effect of vitamin C supplementation during training in older participants.

Ethics

All procedures ware approved by the Bioethics Committee at the Regional Medical Chamber in Gdansk (KB-10/16). Study protocol was constructed according to the Declaration of Helsinki, and all participants gave their written consent, were fully informed prior to participation, informed about the possibility of withdrawal at any time for any reason and were given the opportunity to view their results.

Subjects

From the group of 40 volunteers, 24 women meeting the inclusion criteria were selected. Women were qualified by a doctor to participate in the experiment and were not taking any medications on a permanent basis. None of the women took any supplements for 3 months before the experiment. Participants were divided randomly into two groups: supplemented group (SUP) n = 12, mean age age 72.8 ± 5.26 years, mean body mass 68.1 ± 8.3 kg, and control group (CON) n = 12, mean age 72.4 ± 5.5 years, body mass 67.7 ± 7.5 kg. All participants has never been professional athletes. The participants did not know who received vitamin C supplementation or cellulose (products in caps, look similar, double-blinded).

Body mass analysis was performed using the InBody 720 composition analysis (In body, Department Poland). The basic characteristics of the SUP and CON are summarized in the results section (Table 1). To eliminate women with poor diets we also performed diet analysis and participants were asked not to change their nutritional habits during the study.

Table 1

Anthropometric characteristics of participants before and after 6 weeks of training supported (SUP group) or not supported (CON) Vitamin C supplementation.
Parameter	Group	I	II	p I vs. II	ANOVA 2-way	dCohen I	dCohen II
VO₂ max. [ml/kg/min]	SUP	21.4 ± 3.6	22.1 ± 3.4	0.2	*row factor	0.23	0.03
VO₂ max. [ml/kg/min]	CON	22.2 ± 3.5	22.00 ± 3.5	0.3	*row factor	0.23	0.03
p1 ( SU PI vs CON I) = 0.3; p2(SUP II vs CON II) = 0.4
Body mass [kg]	SUP	68.1 ± 8.3	67.0 ± 7.9	0.30	*row factor, time	0.05	0.42
Body mass [kg]	CON	67.7 ± 7.5	63.8 ± 7.5*#	0.01	*row factor, time	0.05	0.42
p1 ( SUP I vs CON I) = 0.30; p2 (SUP II vs CON II) = 0.02
Muscle mass [kg]	SUP	22.4 ± 2.3	23.3 ± 2.6#	0.79	*row factor	0.25	0.11
Muscle mass [kg]	CON	23.0 ± 2.5	23.6 ± 2.7	0.33	*row factor	0.25	0.11
p1 ( SUP I vs CON I) = 0.01; p2(SUP II vs CON II) = 0.36
Fat mass [kg]	SUP	26.6 ± 7.1	24.2 ± 7.2	0.09	*row factor, time	0.44	0.46
Fat mass [kg]	CON	23.4 ± 7.5#	20.8 ± 7.6*#	0.02	*row factor, time	0.44	0.46
p1 ( SUP I vs CON I) = 0.04; p2 (SUP II vs CON II) = 0.02
*significant differences (p ≤ 0.05) between I and II within the groups; #significant differences (p ≤ 0.05) between groups

Training

The training program was similar to the one used and described earlier [3]. Mainly the principles of health training were followed. Women participated in a 6-week multidisciplinary training program (three times per week for 60 minutes in duration) consisting of gyrokinesis, stabilization training, and Nordic walking at moderate intensity. Total duration of the training period overall was 1080 minutes. Heart rate was monitored during each training session (Polar H1). Participants were asked not to exceed a heart rate of 130/min.

Supplementation

During the 6 weeks of training, the SUP group received 1000 mg of vitamin C (Max VitaC 1000, Colfarm, Poland) and CON group received cellulose in tablets (Colfarm, Poland). People conducting the experiment and participants did not know who was receiving supplementation and who was receiving placebo. The choice of vitamin C dose was chosen due to its easy availability and high frequency of consumption in the Polish population.

Determination of VO ₂ max.

VO₂ max was determined using the cycloergometer Ergoline Ergoselect 150p (Jaeger OxyconPro) and a gas analyzer (Jaeger OxyconPro) using the direct method. The measurement procedure was as follows: 2 minutes for registration of resting values followed by 5 minutes of a warm-up with 30W load and 60 rpm cadence. Participants performed the test with the load gradually increasing by 10W/min. The test was stopped if the participant was unable to continue with a given power and the required term of 60 rpm, or if symptoms occurred which indicated the need to end the trial. The results of VO₂ max testing are presented in Table 1.

Blood collection, analysis of vitamin C concentration, total oxidative status (TOS)/total oxidative capacity (TOC), total antioxidative status (TAS)/total antioxidative capacity (TAC) analysis and analysis of gene expression.

Blood samples were collected twice: immediately before and 24 hours after the training period. Venous blood (5 mL) was collected into BD Vacutainer tubes (Becton Dickinson, USA), in order to evaluate TOS/TOC and TAS/TAC. Plasma was separated by centrifugation (3000 g at 4 °C for 10 minutes). Collected plasma was stored immediately at -80 °C for further analysis. We used photometric PerOx assay kit to evaluate TOS/TOC status (Immundiagnostik AG, Germany), and ImAnOx assay kit (Immundiagnostik AG, Germany) for TAS/TAC analysis. From the obtained results prooxidative/antioxidative balance was calculated.

Vitamin C plasma concentration measurement

Vitamin C concentration was determined in plasma using the method of Robitaille and Hoffer [25] described in our earlier paper [3].

Genetic evaluation

The protocol used for gene expression evaluation has been previously described in detail by Grzybkowska [26], Żychowska [3]. Briefly, 2 ml of venous blood was collected and to remove red blood cells, the Red Blood Cell Lysis Buffer (RBCL) (A&A Biotechnology, Gdynia, Poland) was added and the samples were then centrifuged. Obtained leukocytes were lysed using Fenozol (A&A Biotechnology, Gdynia, Poland) and stored at − 20 °C. The isolation of total RNA was performed based on Chomczynski and Sacchi method [27] using 200 µL of chloroform (POCH, Gliwice, Poland), centrifugation, and 500 µL of isopropanol (POCH, Gliwice, Poland). The obtained pellet was washed twice in 1 ml of 75% ethanol and spun at 7500 g at 4 °C. The dried RNA was then resuspended in the PCR-grade water, and after spectrophotometric evaluation of the purity and concentration of obtained material, the reverse transcription procedure was performed using 1000 ng of pure RNA, 0.2 µM oligo(dT) and the Transcriptor First Strand cDNA Synthesis Kit as per the manufacturer’s instructions (Roche, Warszawa, Poland). Immediately after this step, the samples were frozen and stored at − 20 °C without additional freeze-thaw cycles. For the quantitative real-time polymerase chain reaction (qRT-PCR) step, the 1:10 dilution of the cDNA has been used. This step was performed on AriaMx Real-Time PCR System (Agilent Technologies, Warszawa Poland) using FastStart Universal SYBR® Green Master (Rox) (Roche, Warszawa, Poland) accordion to the manufacturer’s protocol. Three replicates of 2 µL of diluted cDNA were used for qRT-PCR analysis. For each reaction, the melt curve analysis was performed to check for non-specific amplification.

The TUBB was used as a reference gene. All primers sequences were designed by authors in the Primer3 web tool and then in silico PCR tool in the USCS genome browser was used. All primers were delivered by Genomed, Warszawa, Poland. Primer sequences (5’-3’) used to perform this experiment were as follows:

For TUBB (tubulin beta class I, NM_001293213): Forward primer: CTAGAACCTGGGACCATGGA and Reverse primer: TGCAGGCAGTCACAGCTCT

For IL1 (NM_000575.5): Forward primer: AGT GCT GCT GAA GGA GAT GCC T and Reverse primer: CCT GCC AAG CAC ACC CAG TAG

For IL6 (NM_000600.5): Forward primer: AAT TCG GTA CAT CCT CGA CGG and Reverse primer: GAA TCC AGA TTG GAA GCA TCC

For IL10 (NM_000572.3); Forward primer: GAC ATC AAG GCG CAT GTG AAC Reverse primer: TCC ACG GCC TTG CTC TTG TTT

For CCL2 (NM_002982.4); Forward primer: CAG CCA GAT GCA ATC AAT GCC Reverse primer: CTTGGCCACAATGGTCTTGAA

For CRP (NM_000567.3): Forward primer: TCG TTA ACG GTG CTT TGA GG and Reverse primer: TCT TGG TCT TGA CCA GCC TCT

Statistical analyses

First, the presence of a normal distribution was checked with the Shapiro-Wilk’s test for all results. Data obtained before and after six weeks of training period were compared within each group using paired test. The differences between groups were analyzed using parametric or non-parametric (Wilcoxon) tests, as appropriate, as well as two-way ANOVA. The pro and antioxidative balance was calculated as the pro/anti ratio. Relative expression was calculated in in Microsoft Excel 2015, using Schmittgen and Livak’s method [28]. Data were transformed into linear values, and subjected to the same methodology as the other parameters. To determine the significance of differences between the groups in gene expression, t-test and two-way ANOVA were used. Calculations and figures were generated using GraphPad Prism 6.0 software. P-values were considered statistically significant when ≤ 0.05.

Changes in body composition and VO ₂ max.

Table 1 near here

Despite similar total body mass in both groups, significant differences were observed in muscle mass and fat mass before experiment (Table 1). Fat mass in CON group was significantly lower after the training period, with 6 weeks of training causing a significant decrease in total body mass and fat mass only in CON group. Therefore, significantly lower total body mass and fat was observed in CON group after 6 weeks of training without supplementation. No significant changes in VO₂ max were noted in either group. However, only body mass after intervention showed medium effect size (dCohen increase to 0.42).

Figure 1 near here

After 6 weeks of supplementation, vitamin C concentration increased in the SUP group from 13.9 ± 4.2 mg/L to 18.4 ± 8.6 mg/L, p = 0.04 (dCohen showed strong effect size at the level 0.81). At the end of experiment there was a significant difference in plasma vitamin C concentration between groups (18.4 ± 8.58 mg/L in SUP and 13.1 ± 5.2 mg/L in CON, p = 0.03, Fig. 1A). These changes did not significantly influence antioxidative and prooxidative capacity, however there was a minor tendency to increase prooxidative capacity observed in the SUP group (from 489.4 ± 149.4 to 538.7 ± 132.1umol/L). This tendency was not observed in the CON group. Despite no significant changes in antioxidative capacity, the slight tendency to increase in SUP and decrease in CON caused a significantly lower antioxidative status in CON (278.4 ± 24.6umol/L in CON and 298.5 ± 32.9umol/L in SUP, p = 0.03). A consistently similar tendency in pro/antioxidative ratio was observed with a slight tendency to increase in the SUP group. Effect size (dCohen was strong for prooxidative and antioxidative status, 0.52 and 0.70, respectively.

Figure 2 near here

There was no significant changes in gene expression for all tested genes observed after 6 weeks training supported by 1000 mg vitamin C supplementation (Fig. 2.). There was a tendency for decreased IL-6 mRNA (from 2^0.035 to 2^0.016, two-way ANOVA, significant for time) and increase in IL-10 mRNA (from 2^0.005 to 2^0.015) was noted for SUP group. Similar tendency in decrease in IL-6 mRNA occurred in CON (change from 2^0.035 to 2^0.015). In both groups CRP and IL-1 mRNA remained unchanged. There was a significant decrease in CCL2 mRNA observed in the CON group (from 2^0.2 to 2^0.1, p = 0.01, two-way ANOVA, significant for time and subject). However, effect size (dCohen) was strong for three of tested genes: IL1 mRNA (1.09), CCL2 mRNA (1.33) and Il10 mRNA (2.91) only at the end of intervention.

In our research we hypothesized, that vitamin C could increase antioxidant capacity and reduce oxidative stress and in this way lead to decrease in expression of genes induced by oxidative stress, such genes associated with inflammation. Unfortunately, our hypothesis have not been confirmed by research. In order to examine changes caused by vitamin C supplementation we selected women similar in body mass. As a result, the dose of vitamin C per kg of body weight was similar within supplemented group. Although we not assumed the differences in body composition at baseline and after 6 weeks of 1000 mg vitamin supplementation, our participants differed significantly in muscle mass and fat mass at baseline, despite no significant differences in total body mass and body mass index (BMI.) Moreover, a significant decrease in body mass and fat mass was observed in CON group after 6 weeks of training without supplementation (strong effect for total body mass). Thus, in the best case vitamin C did not influence body mass and fat loss. Opposite data was reported by Johnston et al. [29]. The authors postulated that plasma vitamin C concentration inversely related to body mass and markers of obesity, however 500 mg of vitamin C supplementation did not influence the circulating concentration of adiponectin (necessary for lipolysis) in adult participants. The hindered reduction of fat mass observed in our participants receiving supplementation could be associated with the high dose of vitamin C supplementation (1000 mg/day). It is possible, that this supplementation affects IL-6 expression in adipose tissue, leading to a decrease in IL-6 expression. In the literature there are some studies in which IL-6 is considered an important factor to induce fat loss by promoting white adipose tissue and browning lipolysis [30]. However, Wong et al. [31] postulated the negative relationship between intake of vitamin C and risk of developing metabolic syndrome, associated with obesity.

The concentration of vitamin C in the serum of our subject at baseline was average, and a significant increase was noted in SUP group after 6 weeks 1000 mg vitamin C supplementation (strong effect size). The final concentration was close to the upper limit of normal in supplemented group. Unfortunately, increase in vitamin C concentration was associated with a tendency to increase prooxidative and antioxidative status (strong effect size) and finally we observed tendency to increase pro/antioxidative balance. Generally, in both groups, six weeks of training supported or unsupported by vitamin C supplementation proved to be too short for any significant changes in pro or antioxidative status. Similar data after 6 weeks of supplementation during 12 weeks of training was observed in previously published data [3]. It seems, that 6 weeks of vitamin C supplementation in a dose of 1000 mg/day does not influence pro and antiinflammatory status, independently of body mass and BMI. Similar reports can be found in the literature. No changes in pro/antioxidative balance were reported by Bunpo and Antony [32], although their participants were healthy young men who received 250–500 mg vitamin C per day during 12 weeks of exercise. Moreover, the cited authors reported a decrease in antioxidative enzyme activity in erythrocytes. Assuming no influence of this supplementation on pro/antioxidative balance it is probable that vitamin C could show oxidative action, which is often indicated by other various authors [3, 33, 34]. It is possible, that vitamin C could promote generation of reactive oxygen species i.e., OH, O₂⁻, H₂O₂ or ferryl ion [3, 8].

In terms of the obtained results, changes in genes associated with immune response may not be consistent with our assumptions. Our hypothesis, that vitamin C supplementation in a dose of 1000 mg/day will cause a decrease in proinflammatory and an increase in anti-inflammatory gene expression was not confirmed. First of all, no significant changes in gene expression of all studied genes were noted in the SUP group. Only in the CON group, CCL2 mRNA significantly decreased after the training period. This gene is not often investigated under exercising conditions, despite its important functions in inflammation. Overexpression of IL-6 and CCL2 could be a reason for the development of acute inflammation and inflammatory pain [35]. The most common changes in the CCL2 expression in humans are indicated in peripheral blood mononuclear cells (PBMC) or leukocytes. According to Strömberg et al. [36] its expression in muscle cells was marginal. CCL2 mRNA and CCL2 protein are responsible for macrophage induction. It is well documented, that CCL2 released by astrocytes has an impact on cognitive dysfunction and brain inflammation [37, 38]. It means that a decrease in expression may have a positive impact on cognitive function and decrease brain inflammation. Thus, obtained results showed positive changes affected by training in those not supported by vitamin C supplementation.

In the literature there is data regarding the influence of vitamin C supplementation mainly on plasma CRP. Bianias et al. [39] reported that vitamin C supplementation is associated with a decrease in CRP in patients undergoing hemodialysis. Ellulu et al. [40] reported that vitamin C (500 mg twice daily) has potential effects in alleviating inflammatory status by reducing high-sensitivity C-reactive protein (hs-CRP) and IL-6in hypertensive and/or diabetic obese patients [41]. Unfortunately, their research was conducted on sick people, for which vitamin C supplementation may have different effects than in healthy people, when subjected to effort. Results of ultramarathon runners showed that vitamin C caused an increase in CRP by reducing the secretion of cortisol [42]. Our results (no changes in CRP mRNA in both groups) are consistent with the data published by Righi et al. [6]. The authors observed no changes in CRP following single both of acute exercise.

It is well documented that changes in IL-1 caused by exercise are less than another in cytokines, e.g. IL-6. The available data shows that the increase in IL-1 is dependent on training load. Significant increase in this cytokine was observed after ultramarathon, but only in people supplemented by 1500 mg of vitamin C (at a dose of 500 mg of vitamin C there was no such effect). This increase was small in comparison to IL-6. No changes in IL-1 mRNA were observed in our study which confirms lower induction of this cytokine gene expression by effort and no effect of six weeks of 1000 mg/day vitamin C supplementation.

In both groups the same tendency to decrease in IL-6 mRNA was observed. Thus, this effect is mainly associated with training. Our results are compatible with data from other literature studying the influence of aerobic exercise on the modulation of the cytokine profile. Although available data is mainly associated with changes in inflammatory (IL-6 or IL-1) protein measurement in plasma or serum. According to ElKader and All Jiffri [43], significant decrease in IL-6 and increase in IL-10 was observed following 6 months of aerobic exercise in elderly subjects. Thus, 6 weeks of training may be too little to obtain significant differences.

Moreover, Canali et al. [44] suggested a small effect of vitamin C supplementation on gene expression, especially those associated with immune response. In the cited research the authors investigated changes in gene expression in five volunteers supplemented high dose of vitamin C (1 g/day) over 5 days. They suggested that vitamin C plays important role in the modulation of IL-10 mRNA during an inflammatory stimulus. We agree with these authors that in healthy, well nourished participants, supplementation of vitamin C is “buffered” within a homeostatic physiological equilibrium. However, tendency to increase IL-10 with a simultaneous decrease in IL-6 is important in terms of adaptation to training [24]. This was clear in the supplemented group, however, 6 weeks of supplementation did not significantly influence this change.

Generally, six weeks of training with moderate intensity was insufficient to obtained significant increase in VO₂ max. and it seems to be important result for planning the training of the elderly people. It seems that 1000 mg/day vitamin C supplementation inhibited changes in body composition in elderly women. Applied six weeks of health training did not influence oxidative/antioxidative balance however the marked prooxidative effect was noticeable. Moreover, the tendency to decrease IL-6 and increase IL-10 mRNA in the supplemented group could indirectly indicate that oxidative stress within cells was lowered. However, most strong effect size was observed for IL1 and CCL2 mRNA, but this observations require further research. As there was no significant changes in pro/antioxidative balance with simultaneous change in IL-6 and IL-10 mRNA this change could be considered a positive effect of 1000 mg vitamin C supplementation. However, these effects were not spectacular, and it is not known whether a longer period of supplementation would have had an effect on oxidative/prooxidative balance in plasma.

Our study has some limitations. Despite randomization, differences in body composition made it difficult to interpret the results. Also, only one dose (1000 mg daily) of vitamin C was used, and its effect can be expected to be dose dependent. Moreover, the results cannot be directly extrapolated to men and women of other ages.

CCL2

gene encoding C-C Motif Chemokine Ligand

CRP

gene encoding C-reactive protein

IL1

gene encoding interleukin 1

IL6

gene encoding interleukin 6

IL10

gene encoding interleukin 10

CON

control group

SUP

supplemented group

TOS/TOC

total oxidative status/total oxidative capacity

TAS/TAC

total anti-oxidative status/total antioxidative capacity

TUBB

gene encoding tubulik B

RNA

ribonucleic acid

VO2 max.

maximal oxygen consumption

Ethics approval and consent to participate

Consent for publication

Not applicable

Availability of data and materials

The datasets used and/or analysed during the current study are available from the first author: Małgorzata Żychowska ([email protected]) on reasonable request.

Competing interests

The authors declare that they have no competing interests.

Funding

This research was funded by Polish Ministry of Science and Higher Education nr 169/BS/KK/2018.

Authors' contributions

MŻ was the creator of the project idea, performer the genetic analysis, statistics, supervised the course of research, analysis of results and wrote the manuscript; AG conducted the research and wrote the manuscript; MZ performed statistical analysis; AP conducted biochemical analysis and reviced the manuscript; DD performer genetic analysis, OCL conducted biochemical analysis – Vitamin C concenrtation,; reviewed the literature; WP was responsible for biochemical analysis and interpretation of results, JA data interpretation and supervision.

Acknowledgements

Not applicable.

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Effect of six weeks 1000 mg/day Vitamin C supplementation and healthy training in elderly women on genes expression associated with immune response - a randomized controlled trial

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Introduction

Methods

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Training

Supplementation

Vitamin C plasma concentration measurement

Genetic evaluation

Statistical analyses

Results

Discussion

Conclusions

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