Next Article in Journal
Genomic Evaluation of Coffea arabica and Its Wild Relative Coffea racemosa in Mozambique: Settling Resilience Keys for the Coffee Crop in the Context of Climate Change
Next Article in Special Issue
Wax Composition of Serbian Dianthus spp. (Caryophyllaceae): Identification of New Metabolites and Chemotaxonomic Implications
Previous Article in Journal
Laws Governing Nitrogen Loss and Its Numerical Simulation in the Sloping Farmland of the Miyun Reservoir
Previous Article in Special Issue
Effects of Passovia ovata Mistletoe on Pro-Inflammatory Markers In Vitro and In Vivo
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureus

1
Laboratory of Physical Chemistry and Chemical Thermodynamics, Faculty of Chemistry and Chemical Engineering, University of Maribor, Smetanova 17, 2000 Maribor, Slovenia
2
Department of Microbiology, Biochemistry, Molecular Biology and Biotechnology, Faculty of Agriculture and Life Sciences, University of Maribor, Pivola 10, 2311 Hoče, Slovenia
3
Department of Applied Natural Sciences, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia
4
Institute of Environmental Protection and Sensors, Beloruska 7, 2000 Maribor, Slovenia
*
Author to whom correspondence should be addressed.
Plants 2023, 12(10), 2043; https://doi.org/10.3390/plants12102043
Submission received: 21 April 2023 / Revised: 17 May 2023 / Accepted: 18 May 2023 / Published: 20 May 2023
(This article belongs to the Special Issue Phytochemical Composition and Biological Activity)

Abstract

:
Increasing antimicrobial resistance has caused a great interest in natural products as alternatives or potentiators of antibiotics. The objective of this study was to isolate individual tannins from crude chestnut extract as well as to determine the influence of both crude extracts (tannic acid extract, chestnut extract) and individual pure tannins (gallic acid, vescalin, vescalagin, castalin, castalagin) on the growth of Gram-positive Staphylococcus aureus bacteria. Their antibacterial activity was monitored by measuring the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) as well as the duration of the lag phase, growth rate and generation time. The effect of growth medium strength on the MIC of different tannins was also investigated. Bacterial growth was followed spectrophotometrically, and MIC values were determined by the microdilution method. The MIC values of various isolated compounds allowed us to determine the bioactive compounds and their contribution to antimicrobial activity. It was found that MIC values increase with increasing growth medium strength and that the lag phase lengthens with increasing tannin concentrations, while the growth rates decrease. Comparing the results of the two studies, the antimicrobial activity of tannins against S. aureus was not as pronounced as in the case of E. coli, which may indicate that a different mechanism of action is responsible for the antimicrobial effects of tannins on Gram-positive than on Gram-negative bacteria, or that a different mechanism is more pronounced.

1. Introduction

Antimicrobial resistance represents a growing problem worldwide and poses a significant threat to human health. According to Murray et al. [1], an estimated 4.95 million deaths were associated with antimicrobial resistance in 2019, including 1.27 million deaths attributable to bacterial antimicrobial resistance. The increase in antibiotic resistance is due to several factors, including inappropriate antibiotic prescription and the use of antibiotics outside the healthcare sector. As a result, new antibacterial agents are needed to combat bacteria. Structural modifications of antimicrobials to which resistance has developed have already proven effective in expanding the use of antimicrobial agents [2]. Another way to combat bacteria involves the use of natural products, which can also act as alternatives or potentiators of antibiotics, since plants and different natural products contain an extremely large number of compounds of various origins with a wide range of bioactive properties, such as antioxidant, anticarcinogenic, anti-inflammatory, cardioprotective [3,4,5] and antibacterial, among others [6]. Plant-derived products represent around 25% of drugs in current clinical use [7,8,9].
The sweet chestnut (Castanea sativa) is a tree species from the foxtail family Fagaceae, native to Southern Europe and Anatolia and cultivated in parts of the world with temperate climates. Its wood is medium hard and heavy. It is durable in both dry conditions and water and is resistant to moisture fluctuations; therefore, it is used for making furniture, barrels, ships and carvings [5,10,11]. Chestnut is a good source of polyphenols, gallic acid and ellagic acid as well as of hydrolysable and condensed tannins [12]. Tannins represent natural bioactive compounds that are divided into two types, namely hydrolysable and condensed tannins [13,14]. Condensed tannins, also known as proanthocyanidins, are oligomers or polymers of flavan-3-ol linked by an interflavan carbon bond. On the other hand, hydrolysable tannins are esters of a polyol that is usually β-D-glucose with gallic acid (gallotannins) or ellagic acid (ellagitannins) [5,15,16]. Some plant species produce either hydrolysable or condensed tannins, whereas species like Acacia, Acer, Castanea and Quercus are known to contain both hydrolysable and condensed tannins. Whereas Quercus Sp. produces gallotannins and ellagitannins, Castanea produces only ellagitannins [17,18]. The latter are found in the fruit, stems, seeds, barks, wood and leaves of trees [19]. Different parts of the chestnut tree are used for tannin extraction, and these extracts are applied in the leather and food industries, as animal feed and in wine and spirit production [17,20,21].
The pathogens most commonly responsible for deaths due to antimicrobial resistance (AMR) include Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Acinetobacter baumannii, and Pseudomonas aeruginosa. In 2019, these pathogens accounted for approximately 73.15% of AMR-attributable deaths and 72.12% of AMR-associated deaths [1]. The underlying mechanism of antimicrobial activity may differ between Gram-positive and Gram-negative bacteria, because the chemical composition of the cell walls of the two is different. The following mechanisms have been proposed for their antimicrobial activity: interaction of tannins with bacterial and substrate proteins [22,23,24], disruption of outer cell membrane integrity [5,25,26] and chelation of metal ions [22,27,28].
Many studies have established that tannin-rich extracts and the compounds contained in them exert antimicrobial activity [26,29,30,31]. However, it must be also emphasized that many studies on the antimicrobial activity of tannins have been performed on crude plant extracts and not on pure compounds, which makes it difficult to assess the contribution of each compound to the antimicrobial activity and to determine composition-to-activity and structure-to-activity ratios. In order to obtain this knowledge, studies on well-characterised materials as well as on purified compounds are required. The present study aims to provide a comprehensive insight into the effects of crude extracts and tannins isolated from chestnut against Staphylococcus aureus. We also wanted to gain additional insight into the mechanism of antibacterial activity of tannins against Gram-positive pathogenic bacteria; therefore, the effect of growth medium strength was investigated by changing the nutrient content available to the bacteria.

2. Results and Discussion

2.1. Identification of Isolated Vescalin, Castalin, Vescalagin and Castalagin

In order to understand which compounds contribute to the antimicrobial activity of chestnut extract, the individual compounds were first isolated from the crude extract. The description of the isolation procedure and the characterization of vescalagin and castalagin was provided in our previous study [6], and only the most important information is described here. The vescalagin and castalagin used in this study had chromatographic purities of 97.0% and 95.9%, respectively.
The structures of isolated vescalin and castalin were confirmed by a combination of methods. The HPLC retention time was compared to the retention time of the standard, and the chromatograms of castalin and vescalin are provided in Supplementary Material Figures S1 and S2, respectively. The structure of both compounds was further confirmed by LC–MS/MS and NMR spectroscopy techniques.
The chromatographic purities of isolated vescalin and castalin were 94.0% and 93.0%, respectively. Vescalin: 1H NMR (300 MHz, D2O) δ 6.90 (s, 1H); 5.43 (s, 1H); 5.13 (m, 1H); 4,86 (d, 1H, J = 1.68 Hz); 4.57 (d, 1H, J = 6.80 Hz); 4.06 (m, 1H); 3.94 (m, 2H). Castalin: 1H NMR [300 MHz, D2O] δ 6.90 (s, 1H); 5.70 (d, 1H, J = 4.10 Hz); 5.24 (d, 1H, J = 4 Hz); 5.14 (m, 1H); 5.00 (d, 1H, J = 6.70 Hz); 4.08 (t, 1H, J = 7.40 Hz); 3.94 (m, 2H). Structures of vescalin, castalin, vescalagin, and castalagin are depicted in Figure 1.

2.2. Variation of the Growth Medium Strength and Its Influence on MIC

In this study, the influence of the bacterial growth medium strength on the minimum inhibitory concentration (MIC) of tannins against Gram-positive S. aureus was determined. This was performed in order to gain insight into the importance of the interactions of tannins with the growth medium for their antibacterial activity. The nutrient content in the growth medium varied from half to one and a half of the concentration recommended by the producer.
The influence of growth medium strength on the MIC of tannins against Gram-negative bacteria E. coli was investigated previously [6], and a pronounced dependence of the MIC values on growth medium strength was observed. It was found that the rise in MIC values of all samples was approximately linear when the concentration of medium was increased, indicating that a direct interaction of tannins with the nutrients of the growth medium represents a likely source of their antimicrobial activity. Tannins have already been shown to chelate metal ions [32].
The effect of the growth medium strength on Gram-positive S. aureus is depicted in Figure 2, while numerical values can be found in Supplementary Material Table S1. It can be further observed that with higher growth medium concentrations, the MIC values of almost all tested samples also increase.
The Spearman’s rho correlation coefficient between the growth medium strength and MIC values is 0.28 and is at the 0.01 level of significance. Statistically significant differences were found between 50% growth medium concentration MIC and 150% growth medium concentration MIC for almost all samples except chestnut, castalagin and castalin. The increase in MIC values with increasing growth medium strength continued to be observed to some extent, but was not as pronounced as in the case of E. coli [6]. In the case of E. coli, the MIC values doubled with a doubling of the growth medium strength, indicating that the most pronounced mechanism of their antimicrobial action could be the complexation of tannins with essential ions in the growth medium. However, additional studies must be performed to prove this point. The only exception in the case of S. aureus were the MIC values of gallic acid, wherein the increase in MIC values was well pronounced. The dependence of the MIC value on the strength of the medium, although not as pronounced, was nevertheless present and indicates that the concentration of the medium has an influence on the strength of the compound, which in turn influences the MIC values. In the study by Araújo et al. [33], it was postulated that the most important mechanism of antimicrobial activity of vescalagin and castalagin against S. aureus is the disruption of the cell wall caused by the modulation of the normal arrangement of peptidoglycans on the bacterial surface. The main difference is that S. aureus belongs to the category of Gram-positive bacteria, which differ from Gram-negative bacteria (E. coli) in the chemical composition of the cell wall. Gram-positive bacteria possess a thicker layer of peptidoglycans, whereas Gram-negative bacteria possess a thinner layer of peptidoglycans and an additional outer membrane with lipopolysaccharides. The difference in cell wall structure between Gram-positive and Gram-negative bacteria may at least partly explain the different trends in the growth medium strength’s effect on tannins’ efficacy against S. aureus and E. coli. However, for additional confirmation, it would be beneficial to carry out a study on more representatives of Gram-positive bacteria.

2.3. Minimum Inhibitory Concentrations (MICs) of Studied Samples against Staphylococcus aureus

MIC values for all samples against S. aureus were determined visually using a broth microdilution assay. For comparison with the literature, the results of MIC values of tannins in 100% medium are collected in Table 1. The MIC values for media of different concentrations are summarised in Supplementary Material Table S1.
All tested samples affected the growth of S. aureus, with MIC values ranging from 60 to 5200 µg/mL, whereas the MIC value of the positive control (streptomycin) was 3.25 µg/mL. It can be concluded that the MIC of gallic acid is an order of magnitude higher than that of all other studied samples, including the crude chestnut extract. However, the MIC of tannic acid was one order of magnitude lower than the other samples. The reason for the higher antibacterial activity of tannic acid may be found in the higher flexibility of the compounds, which makes interactions with proteins [34,35] or with the phospholipid bilayer [36] more likely. The MIC values of the crude chestnut extract and its isolated compounds are of the same order of magnitude. Castalagin exhibited a slightly stronger antibacterial activity than the chestnut extract itself (MIC value of 700 µg/mL of castalagin, compared to MIC value of 867 µg/mL for the chestnut extract). The MIC value of vescalagin was already slightly lower, with a value of 533 µg/mL. Finally, the MIC values of vescalin and castalin were practically half of the MIC value of the chestnut extract, with MIC values of 350 µg/mL and 450 µg/mL, respectively. It is interesting to observe that although vescalin and castalin, as well as vescalagin and castalagin, are structurally very similar compounds (they represent diastereoisomers), the difference in their stereochemistry obviously plays a role in their antibacterial activity, since the MIC values of vescalagin and vescalin were consistently lower than the MIC values of castalagin and castalin. When the MIC values were converted to molar rather than mass concentrations, the MIC values for vescalagin, castalagin, vescalin, and castalin were 0.57 µmol/mL, 0.75 µmol/mL, 0.55 µmol/mL and 0.71 µmol/mL, respectively. As already discussed above, the MIC values of vescalagin and vescalin were again consistently lower than the MIC values of castalagin and castalin. Furthermore, the MIC values of vescalagin and vescalin were now identical within the standard deviation. The same holds true for the MIC values of castalagin and castalin, possibly indicating that the common nonahydroxytriphenoyl group (NHTP group) is of crucial importance for the antibacterial activity of these four compounds.
The MIC values of some of the studied compounds for S. aureus have been already determined in previous studies. Araújo et al. [33] determined the MICs of vescalagin and castalagin against S. aureus (ATCC 25923) and methicillin-resistant S. aureus (ATCC 700698), and the results for S. aureus (ATCC 25923) are consistent with ours, with slight differences regarding the MIC values of vescalagin and those of castalagin. Our determined MIC value of vescalagin was 533 µg/mL, whereas theirs was 500 µg/mL, and our MIC of castalagin was 700 µg/mL, whereas their MIC was 500 µg/mL. Any discrepancy can be at least partly a consequence of the different dilution methods. Whereas most studies have typically used the twofold serial dilution method, the concentrations in our study were denser, which allowed a more accurate determination of MIC values, which cannot be observed with the logarithmic dilution method.
Taguri et al. [37] studied the MIC values of castalagin and tannic acid against the same strain of S. aureus. Their MIC value of 100 µg/mL for tannic acid was slightly higher than ours, which was 60 µg/mL. This difference in the MIC value of tannic acid could at least partly have arisen from a difference in tannic acid composition, since tannic acid in general is not a pure compound, but a mixture of various gallotannins. Their determined MIC value for castalagin was also 100 µg/mL, which is quite a bit lower than the value of 700 µg/mL that was determined in our study.
In a previous study [6], we determined the MIC values of pure tannins and extracts against Gram-negative Escherichia coli, and all exhibited lower MIC values compared to Gram-positive S. aureus. In many cases, the MIC of antibiotics against Gram-positive bacteria was lower than against Gram-negative bacteria, because the latter have an additional outer membrane. In our case, it was just the opposite, which may be due to different mechanisms of the antibacterial action of tannins against Gram-negative and Gram-positive bacteria [2].
Antibacterial activity of tannic and gallic acid on the growth of S. aureus ATCC 6538P was also monitored by Chung [38] by using the disk diffusion method. Gallic acid at a concentration of 5 mg/mL showed no antibacterial activity, whereas 5 mg/mL tannic acid inhibited the growth of many Gram-positive and Gram-negative bacteria, which corresponds with our findings, as the MIC value of tannic acid was very low, whereas gallic acid had a very high one.
It should be noted that the MIC values reported in the literature vary to a certain extent. However, the values given for vescalagin and castalagin are, at least quantitatively, consistent.

2.4. Minimum Bactericidal Concentrations (MBCs) of Studied Samples against S. aureus

MBC values were determined for all samples, and the values for 100% medium are collected in Table 2. All values were higher than the corresponding MIC values. It should be noted that MBC values were determined for all tested samples except for tannic acid.
As in the case of MIC, the highest MBC value was determined for gallic acid, which was also an order of magnitude higher than that of the remaining samples. The MBC value of the crude chestnut extract was 2000 µg/mL, whereas the MBC values of vescalagin and castalagin were slightly lower, at 1500 µg/mL. The MBC values of vescalin and castalin were lower still, at 1000 µg/mL. It was observed that for tannic acid, whose MIC values were significantly lower than those of the remaining samples, the bacteria regrew after subculturing on the agar plates at all concentrations up to 500 µg/mL.
To the best of our knowledge, this is the first study determining the MBC of vescalin and castalin, whereas MBC values of vescalagin and castalagin against S. aureus (ATCC 25923) and methicillin-resistant S. aureus (ATCC 700698) were determined by Araújo et al. [33]. The reported values for S. aureus (ATCC 25923) were practically the same as the MBC values determined in our study (1000 µg/mL), whereas the reported values for strain ATCC 700698 were somewhat lower (250 µg/mL).

2.5. Lag Phases, Growth Rates and Generation Times

Experimentally obtained growth curves were fitted to Equation (1), resulting in corresponding growth rates and lag phases [39]. The results of the fit agreed very well with the experimentally obtained data, as can be observed in Figure 3. Generation times were calculated from Equation (2). Both equations are detailed in Section 3.6.
As can be observed from Table 3, the lag time of the negative control was 100 min, which agrees well with lag times reported in the scientific literature, wherein the length of the lag phase was around 120 min [40]. The lag times of S. aureus lengthened with the increasing tannin concentration for the vast majority of samples. It can also be observed that all samples had a longer lag phase than the negative control even at the lowest tannin concentrations. The growth rates also decreased for the majority of samples. However, some concentrations deviated from these general trends. Since generation times were calculated directly from the growth rates, the generation times also deviated in these cases, but generally lengthened with the increasing tannin concentrations. This phenomenon is a consequence of environmental challenges or cellular stresses that may often prolong the lag phase and simultaneously cause low growth rates of a particular microbial population [41].
However, the observed extensions of the lag phases of S. aureus were not as pronounced as in the case of E. coli [42]. In the case of E. coli, the prolongation of the lag phase followed an exponential relationship with the increasing tannin concentration, which we assumed to be due to the chelation of certain essential ions from the growth medium with tannins. In the case of S. aureus, no exponential elongation was observed. This could be due to the fact that a different mechanism of tannin antimicrobial action was taking over.

3. Materials and Methods

3.1. Antibacterial Agents

The materials tested as antimicrobial agents in this study were Streptomycin, tannic acid, chestnut extract and the pure compounds gallic acid, vescalin, castalin, vescalagin and castalagin. Gallic acid (Lot: BCBV2518), Streptomycin sulfate salt (Lot: SLBF8077V) and tannic acid (Lot: BCBT8361) were purchased from Sigma-Aldrich, St. Louis, MO, USA. The chestnut extract (Farmatan) was purchased from Tanin Sevnica, Sevnica, Slovenia. The remaining compounds were isolated from the chestnut extract. Four pure tannin compounds were isolated (vescalagin, castalagin, vescalin, castalin). Vescalagin and castalagin were isolated according to the procedure described in a previous article [6] and their chromatographic purities were 95.9% and 97.0%, respectively.

3.2. Isolation of Vescalin and Castalin

Both vescalin and castalin were isolated from the chestnut extract, and their original contents were 1.0% and 1.6%, respectively [6].
The chestnut extract was dissolved in a mixture of methanol and water (50/50, v/v). The obtained solution was centrifuged and filtered. Methanol was removed using a rotary evaporator (Buchi, Essen, Germany). Several separation and purification steps were performed using a puriFlash® 5.250 chromatography system (Interchim SA, Montlucon, France) equipped with autosampler, UV/Vis and ELSD detectors. Initially, two purifications were performed on the flash chromatographic column PF-50C18HP-F0004 with a stationary phase Sephadex LH-20. The solvents and gradient used are listed in Table 4.
After each step, the fractions were analysed by the HPLC method described below, and all fractions rich in vescalin and castalin were pooled and freeze-dried. These two steps helped us to remove the majority of impurities and partially purify the compounds, but vescalin and castalin were still not separated.
Two flash purifications on a stationary phase Sephadex LH-20 were followed by purification on a flash reverse-phase (C18) chromatographic column PF-50C18HP-F0025. Samples were dissolved in type 1 water and filtered through a 0.2 μm PTFE syringe filter. In Table 5 are listed the solvents and gradient that were applied.
As after separation with Sephadex LH-20, the fractions were analysed by HPLC, and three fractions were obtained, the first rich in vescalin, the second rich in castalin, and the third not separated. The organic solvents were removed using a rotary evaporator, whereas water was removed by lyophilization.
To completely separate and further purify the samples, three consecutive purifications were performed on the preparative reverse-phase (C18) chromatographic column US10C18HQ-250/212. The solvents and gradient applied were the same as for the flash reverse-phase chromatography. Fractions were analysed by HPLC, and sufficiently pure vescalin rich fractions or castalin rich fractions were joined and lyophilized using a freeze dryer.

3.3. Identification of Isolated Compounds Using HPLC

An analytical HPLC system (Vanquish Core, Thermoscientific, Waltham, MA, USA) was utilized to analyse the composition of each fraction after each purification and to determine the purity of the final isolates. The column used was an Agilent Eclipse XDB-C18 with 5 µm particles and dimensions of 4.6 × 150 mm. Two mobile phases were applied and are listed in Table 6, along with the gradient used.

3.4. Antibacterial Assay

The antimicrobial activity of the tested samples was determined by means of minimum inhibitory concentration (MIC) using the broth microdilution assay previously described, with slight modifications [6], and MBC.
To determine the effect of growth media on the MIC, the nutrient concentration was varied by changing the concentration of MHB to from half to one and a half the concentration recommended by the manufacturer.

3.4.1. Microorganisms and Culture Conditions

The strain used in this study was Gram-positive S. aureus ATTC 29213. Bacteria were cultured in Mueller-Hinton broth (MHB; Sigma-Aldrich) and incubated at 37 °C for 24 h. The final density of the culture was 2–3 × 105 CFU/mL, which was confirmed by regular colony counts during the study. A fresh overnight culture was established for each experiment.

3.4.2. Preparation of Antimicrobial Agents

Prior to the analysis, all samples were dissolved in DMSO (DMSO, Sigma-Aldrich), since they are not sufficiently soluble in MHB. Samples were serially diluted with MHB to obtain densely decreasing concentrations. The maximum final concentration of DMSO did not exceed 5% v/v.

3.4.3. Broth Microdilution Assay

To determine the influence of the growth medium strength on the MIC, different concentrations of Mueller–Hinton broth (MHB), the bacterial growth medium, were prepared. The concentrations of the media were 50%, 75%, 100% and 150% of the concentration recommended by the producer.
Bacteria were incubated with antimicrobial agents in different concentrations of the MHB at 37 °C. All tests were performed in triplicates and results were calculated as means ± standard deviation.

3.4.4. Determination of Minimum Inhibitory Concentration (MIC)

MIC was determined visually, and MIC values were reported as means. MIC (µg/mL) represents the lowest concentration of an antimicrobial agent that prevents the growth of microorganisms.

3.4.5. Determination of Minimum Bactericidal Concentration (MBC)

Minimum bactericidal concentrations (MBC) were measured by subculturing 100 µL samples from microplates incubated for 24 h. Samples from wells with tannin concentrations determined to be MIC and higher were subcultured onto MH agar plates. The agar plates were incubated at 37 °C for 24 h. MBC values were determined as the lowest concentrations of a sample in which ≥99.9% of the original bacterial inoculum was killed.

3.5. Statistical Analysis

The correlation between medium strength and MIC values was determined using SPSS Statistic. Spearman’s rho correlation coefficient was applied, as well as the Kruskal–Wallis test. Finally, significance values were adjusted using the Bonferroni correction.

3.6. Lag Phases, Growth Rates and Generation Times

Bacteria were incubated with antimicrobial agents at 37 °C (±0.5 °C) and measured every 10 min for 24 h at 595 nm using a spectrophotometer: Tecan Infinite 1000PRO. Growth curves were determined by plotting the time dependence of optical density (OD). Then, the experimentally obtained growth curves were fitted to Equation (1) analogously to the article by Li et al. [39]. In this way, the bacterial growth parameters (growth rates and lag phases) were determined, and the results of the fit agreed very well with the experimentally obtained data.
ln N N 0 = A exp ( exp ( μ e A λ t + 1 ) )
In Equation (1), N represents the cell number at time t, N0 represents the cell number at the beginning of the experiment, µ represents the maximum growth rate at the exponential phase, λ represents the lag phase duration and A represents the maximum OD throughout the experiment. Generation times were obtained from Equation (2),
t d = ln 2 μ
where μ represents the maximum growth rate during the exponential phase.

4. Conclusions

The antibacterial activity of a crude chestnut extract, as well as of its five main compounds (vescalagin, castalagin, vescalin, castalin, and gallic acid) and tannic acid against S. aureus were determined using minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC). All investigated samples tested were found to have antimicrobial activity against S. aureus, with tannic acid and gallic acid exhibiting the lowest and the highest MIC values, respectively. The MIC values of vescalagin and castalagin are in good agreement with the ones reported in the scientific literature. It was interesting to observe that the reported MICs in molar concentrations were virtually the same for vescalin and vescalagin as well as for castalin and castalagin, which indicates that the nonahydroxytriphenoyl group (NHTP group) plays an important role in the antibacterial activity of the studied tannins. Moreover, the MIC values of both vescalin and vescalagin were found to be systematically lower than the MIC values of their corresponding diastereoisomers castalin and castalagin. As the concentration of the investigated tannins increased, the lag phases lengthened, whereas the growth rates decreased. Finally, the effect of the growth medium strength was also observed by varying the nutrient content of the medium. A stronger growth medium led to an increase in MIC values. However, this effect was not as pronounced as in the case of E. coli, studied in the previous work, wherein it was observed that essential ion complexation with tannins might affect MIC values, which indicates that this is not the case for the antimicrobial activity of investigated tannins against the Gram-positive S. aureus. The observed differences between the influence of the growth medium strength on the growth of E. coli and S. aureus may also be due to the different structure of the cell walls of Gram-positive and Gram-negative bacteria. Further studies are needed to generalize these results for all Gram-positive and Gram-negative bacteria.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/plants12102043/s1, Figure S1: HPLC chromatogram of castalin at 280 nm, Figure S2: HPLC chromatogram of vescalin at 280 nm, Table S1: Minimum inhibitory concentration (MIC) values of chestnut extract and its compounds in differently concentrated growth media.

Author Contributions

Conceptualization, G.H., U.B. and T.L.; methodology, G.H., M.P. and S.Š.; investigation, S.Š.; resources, U.B.; data curation, S.Š.; writing—original draft preparation, S.Š.; writing—review and editing, G.H., M.P., Z.K., T.L. and U.B.; visualization, S.Š.; supervision, U.B., G.H. and T.L.; funding acquisition, U.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Slovenian Research Agency (ARRS) through programme and project grants J1-2471, P2-0046, L2-3175, J4-4633, J1-4398, L2-4430, J3-4498, J7-4638, J1-4414, J3-4497, P2-0438, and I0-E015.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AMR—antimicrobial resistance; MBC—minimum bactericidal concentration; MIC—minimum inhibitory concentration; NHTP group—nonahydroxytriphenoyl group; OD—optical density.

References

  1. Murray, C.J.L.; Ikuta, K.S.; Sharara, F.; Swetschinski, L.; Robles Aguilar, G.; Gray, A.; Han, C.; Bisignano, C.; Rao, P.; Wool, E.; et al. Global burden of bacterial antimicrobial resistance in 2019: A systematic analysis. Lancet 2022, 399, 629–655. [Google Scholar] [CrossRef] [PubMed]
  2. Poole, K. Overcoming antimicrobial resistance by targeting resistance mechanisms. J. Pharm. Pharmacol. 2001, 53, 283–294. [Google Scholar] [CrossRef] [PubMed]
  3. Hostnik, G.; Gladović, M.; Bren, U. Tannin Basic Building Blocks as Potential Scavengers of Chemical Carcinogens: A Computational Study. J. Nat. Prod. 2019, 82, 3279–3287. [Google Scholar] [CrossRef] [PubMed]
  4. Tosovic, J.; Bren, U. Antioxidative Action of Ellagic Acid-A Kinetic DFT Study. Antioxidants 2020, 9, 587. [Google Scholar] [CrossRef] [PubMed]
  5. Braga, N.; Rodrigues, F.; Oliveira, M.B. Castanea sativa by-products: A review on added value and sustainable application. Nat. Prod. Res. 2015, 29, 1–18. [Google Scholar] [CrossRef]
  6. Stumpf, S.; Hostnik, G.; Primožič, M.; Leitgeb, M.; Salminen, J.-p.; Bren, U. The effect of growth medium strength on minimum inhibitory concentrations of tannins and tannin extracts against E. coli. Molecules 2020, 25, 2947. [Google Scholar] [CrossRef]
  7. Marston, H.D.; Dixon, D.M.; Knisely, J.M.; Palmore, T.N.; Fauci, A.S. Antimicrobial Resistance. JAMA 2016, 316, 1193–1204. [Google Scholar] [CrossRef]
  8. Nicoloff, H.; Hjort, K.; Levin, B.R.; Andersson, D.I. The high prevalence of antibiotic heteroresistance in pathogenic bacteria is mainly caused by gene amplification. Nat. Microbiol. 2019, 4, 504–514. [Google Scholar] [CrossRef]
  9. Abreu, A.C.; McBain, A.J.; Simoes, M. Plants as sources of new antimicrobials and resistance-modifying agents. Nat. Prod. Rep. 2012, 29, 1007–1021. [Google Scholar] [CrossRef]
  10. Conedera, M.; Krebs, P.; Tinner, W.; Pradella, M.; Torriani, D. The cultivation of Castanea sativa (Mill.) in Europe, from its origin to its diffusion on a continental scale. Veg. Hist. Archaeobotany 2004, 13, 161–179. [Google Scholar] [CrossRef]
  11. De Vasconcelos, M.C.; Bennett, R.N.; Rosa, E.A.; Ferreira-Cardoso, J.V. Composition of European chestnut (Castanea sativa Mill.) and association with health effects: Fresh and processed products. J. Sci. Food Agric. 2010, 90, 1578–1589. [Google Scholar] [CrossRef]
  12. Gonçalves, B.; Borges, O.; Costa, H.S.; Bennett, R.; Santos, M.; Silva, A.P. Metabolite composition of chestnut (Castanea sativa Mill.) upon cooking: Proximate analysis, fibre, organic acids and phenolics. Food Chem. 2010, 122, 154–160. [Google Scholar] [CrossRef]
  13. Khanbabaee, K.; Ree, T.V. Tannins: Classification and definition. R. Soc. Chem. 2001, 18, 641–649. [Google Scholar] [CrossRef]
  14. Serrano, J.; Puupponen-Pimiä, R.; Dauer, A.; Aura, A.-M.; Saura-Calixto, F. Tannins: Current knowledge of food sources, intake, bioavailability and biological effects. Mol. Nutr. Food Resour. 2009, 53, 310–329. [Google Scholar] [CrossRef] [PubMed]
  15. Mämmelä, P.; Savolainen, H.; Lindroos, L.; Kangas, J.; Vartiainen, T. Analysis of oak tannins by liquid chromatography-electrospray ionisation mass spectrometry. J. Chromatogr. A 2000, 891, 75–83. [Google Scholar] [CrossRef]
  16. Salminen, J.-P.; Ossipov, V.; Loponen, J.; Haukioja, E.; Pihlaja, K. Characterisation of hydrolysable tannins from leaves of Betula pubescens by high-performance liquid chromatography—Mass spectrometry. J. Chromatogr. A 1999, 864, 283–291. [Google Scholar] [CrossRef]
  17. Mueller-Harvey, I. Analysis of hydrolysable tannins. Anim. Feed. Sci. Technol. 2001, 91, 3–20. [Google Scholar] [CrossRef]
  18. Živković, J.; Mujić, I.; Zeković, Z.; Nikolić, G.; Vidović, S.; Mujić, A. Extraction and analysis of condensed tannins in Castanea sativa Mill. J. Cent. Eur. Agric. 2009, 10, 283–288. [Google Scholar]
  19. Das, A.K.; Islam, M.N.; Faruk, M.O.; Ashaduzzaman, M.; Dungani, R. Review on tannins: Extraction processes, applications and possibilities. S. Afr. J. Bot. 2020, 135, 58–70. [Google Scholar] [CrossRef]
  20. Sanz, M.; Cadahia, E.; Esteruelas, E.; Munoz, A.M.; Fernandez de Simon, B.; Hernandez, T.; Estrella, I. Phenolic compounds in chestnut (Castanea sativa Mill.) heartwood. Effect of toasting at cooperage. J. Agric. Food Chem. 2010, 58, 9631–9640. [Google Scholar] [CrossRef]
  21. Scalbert, A.; Monties, B.; Janin, G. Tannins in Wood: Comparison of Different Estimation Methods. J. Agric. Food Chem. 1989, 37, 1324–1329. [Google Scholar] [CrossRef]
  22. Scalbert, A. Antimicrobial properties of tannins. Phytochemistry 1991, 30, 3875–3883. [Google Scholar] [CrossRef]
  23. Chu, E.H.Y.; Arbor, A.; Hollaender, M.A.; Nicoletti, B.; Kopits, S.E.; Ascani, E.; McKusick, V.A.; Sutherland, B.M.; Woodhead, A.D.; Harling, O.K.; et al. Plant Polyphenols: Synthesis, Properties, Significance; Plenum Press: New York, NY, USA, 1991; Volume 59. [Google Scholar]
  24. Tian, F.; Li, B.; Ji, B.; Zhang, G.; Luo, Y. Identification and structure–activity relationship of gallotannins separated from Galla chinensis. LWT—Food Sci. Technol. 2009, 42, 1289–1295. [Google Scholar] [CrossRef]
  25. Ikigai, H.; Nakae, T.; Hara, Y.; Shimamura, T. Bactericidal catechins damage the lipid bilayer. Biochim. Biophys. Acta 1993, 1147, 132–136. [Google Scholar] [CrossRef] [PubMed]
  26. Taguri, T.; Tanaka, T.; Kouno, I. Antibacterial Spectrum of Plant Polyphenols and Extracts Depending upon Hydroxyphenyl Structure. Biol. Pharm. Bull. 2006, 29, 2226–2235. [Google Scholar] [CrossRef]
  27. Anderson, R.C.; Vodovnik, M.; Min, B.R.; Pinchak, W.E.; Krueger, N.A.; Harvey, R.B.; Nisbet, D.J. Bactericidal effect of hydrolysable and condensed tannin extracts on Campylobacter jejuni in vitro. Folia Microbiol. 2012, 57, 253–258. [Google Scholar] [CrossRef]
  28. Akiyama, H.; Fujii, K.; Yamasaki, O.; Oono, T.; Iwatsuki, K. Antibacterial action of several tannins against Staphylococcus aureus. J. Antimicrob. Chemother. 2001, 48, 487–491. [Google Scholar] [CrossRef]
  29. Basile, A.; Sorbo, S.; Giordano, S.; Ricciardi, L.; Ferrara, S.; Montesano, D.; Castaldo Cobianchi, R.; Vuotto, M.L.; Ferrara, L. Antibacterial and allelopathic activity of extract from Castanea sativa leaves. Fitoterapia 2000, 71, S110–S116. [Google Scholar] [CrossRef]
  30. Puljula, E.; Walton, G.; Woodward, M.J.; Karonen, M. Antimicrobial Activities of Ellagitannins against Clostridiales perfringens, Escherichia coli, Lactobacillus plantarum and Staphylococcus aureus. Molecules 2020, 25, 3714. [Google Scholar] [CrossRef]
  31. Funatogawa, K.; Hayashi, S.; Shimomura, H.; Yoshida, T.; Hatano, T.; Ito, H.; Hirai, Y. Antibacterial Activity of Hydrolyzable Tannins Derived from Medicinal Plants against Helicobacter pylori. Microbiol. Immunol. 2004, 48, 251–261. [Google Scholar] [CrossRef]
  32. Freser, F.; Hostnik, G.; Tosovic, J.; Bren, U. Dependence of the Fe(II)-Gallic Acid Coordination Compound Formation Constant on the pH. Foods 2021, 10, 2689. [Google Scholar] [CrossRef] [PubMed]
  33. Araujo, A.R.; Araujo, A.C.; Reis, R.L.; Pires, R.A. Vescalagin and Castalagin Present Bactericidal Activity toward Methicillin-Resistant Bacteria. ACS Biomater. Sci. Eng. 2021, 7, 1022–1030. [Google Scholar] [CrossRef] [PubMed]
  34. Engström, M.T.; Arvola, J.; Nenonen, S.; Virtanen, V.T.J.; Leppä, M.M.; Tähtinen, P.; Salminen, J.P. Structural Features of Hydrolyzable Tannins Determine Their Ability to Form Insoluble Complexes with Bovine Serum Albumin. J. Agric. Food Chem. 2019, 67, 6798–6808. [Google Scholar] [CrossRef] [PubMed]
  35. Engstrom, M.T.; Virtanen, V.; Salminen, J.P. Influence of the Hydrolyzable Tannin Structure on the Characteristics of Insoluble Hydrolyzable Tannin-Protein Complexes. J. Agric. Food. Chem. 2022, 70, 13036–13048. [Google Scholar] [CrossRef] [PubMed]
  36. Virtanen, V.; Green, R.J.; Karonen, M. Interactions between Hydrolysable Tannins and Lipid Vesicles from Escherichia coli with Isothermal Titration Calorimetry. Molecules 2022, 27, 3204. [Google Scholar] [CrossRef]
  37. Taguri, T.; Tanaka, T.; Kouno, I. Antimicrobial Activity of 10 Different Plant Polyphenols against Bacteria Causing Food-Borne Disease. Biol. Pharm. Bull. 2004, 27, 1965–1969. [Google Scholar] [CrossRef] [PubMed]
  38. Chung, K.T.; Stevens, S.E., Jr.; Lin, W.F.; Wei, C.I. Growth inhibition of selected food-borne bacteria by tannic acid, propyl gallate and related compounds. Lett. Appl. Microbiol. 1993, 17, 29–32. [Google Scholar] [CrossRef]
  39. Li, B.; Qiu, Y.; Shi, H.; Yin, H. The importance of lag time extension in determining bacterial resistance to antibiotics. Analyst 2016, 141, 3059–3067. [Google Scholar] [CrossRef]
  40. Vogel, S.J.; Tank, M.; Goodyear, N. Variation in detection limits between bacterial growth phases and precision of an ATP bioluminescence system. Lett. Appl. Microbiol. 2014, 58, 370–375. [Google Scholar] [CrossRef]
  41. Hamill, P.G.; Stevenson, A.; McMullan, P.E.; Williams, J.P.; Lewis, A.D.R.; Sudharsan, S.; Stevenson, K.E.; Farnsworth, K.D.; Khroustalyova, G.; Takemoto, J.Y.; et al. Microbial lag phase can be indicative of, or independent from, cellular stress. Sci. Rep. 2020, 10, 5948. [Google Scholar] [CrossRef]
  42. Stumpf, S.; Hostnik, G.; Primozic, M.; Leitgeb, M.; Bren, U. Generation Times of E. coli Prolong with Increasing Tannin Concentration while the Lag Phase Extends Exponentially. Plants 2020, 9, 1680. [Google Scholar] [CrossRef] [PubMed]
Figure 1. On the left are vescalagin (R1 = H, R2 = OH) and castalagin (R1 = OH, R2 = H), and on the right are vescalin (R1 = H, R2 = OH) and castalin (R1 = OH, R2 = H).
Figure 1. On the left are vescalagin (R1 = H, R2 = OH) and castalagin (R1 = OH, R2 = H), and on the right are vescalin (R1 = H, R2 = OH) and castalin (R1 = OH, R2 = H).
Plants 12 02043 g001
Figure 2. MIC values of the crude chestnut extract and its compounds in differently concentrated growth media. p values above brackets indicate the adjusted significance of pairwise comparison of MIC values in different medium strengths at the 0.05 significance level. All p-values are based on the Kruskal–Wallis test, and significance values were adjusted by Bonferroni correction. Error bars denote standard deviations of the mean.
Figure 2. MIC values of the crude chestnut extract and its compounds in differently concentrated growth media. p values above brackets indicate the adjusted significance of pairwise comparison of MIC values in different medium strengths at the 0.05 significance level. All p-values are based on the Kruskal–Wallis test, and significance values were adjusted by Bonferroni correction. Error bars denote standard deviations of the mean.
Plants 12 02043 g002
Figure 3. An example of experimental and fitted data, applied for the determination of the growth rate and lag phase duration.
Figure 3. An example of experimental and fitted data, applied for the determination of the growth rate and lag phase duration.
Plants 12 02043 g003
Table 1. MIC values of chestnut extract and tannin compounds against S. aureus in 100% MHB. Reported errors are standard deviations from average MIC values.
Table 1. MIC values of chestnut extract and tannin compounds against S. aureus in 100% MHB. Reported errors are standard deviations from average MIC values.
Minimum Inhibitory Concentration (MIC)
Sample(µg/mL)µmol/mL
chestnut extract867 ± 115/
tannic acid60 ± 00.04 ± 0.00
gallic acid5200 ± 34627.64 ± 0.61
vescalagin533 ± 580.57 ± 0.06
castalagin700 ± 00.75 ± 0.00
vescalin350 ± 580.55 ± 0.16
castalin450 ± 00.71 ± 0.00
streptomycin3.25 ± 0.870.004 ± 0.001
Table 2. Minimum bactericidal concentrations (MBCs) of chestnut extract and tannin compounds against S. aureus.
Table 2. Minimum bactericidal concentrations (MBCs) of chestnut extract and tannin compounds against S. aureus.
Minimum Bactericidal Concentration (MBC)
Samples(µg/mL)
chestnut extract2000
tannic acidaNI
gallic acid10,000
vescalagin1500
castalagin1500
vescalin1000
castalin1000
streptomycin8
aNI = No inhibition observed in concentrations up to 500 µg/mL.
Table 3. Growth rates (µ), lag times (lag) and generation times (td) of investigated samples (in 100% media).
Table 3. Growth rates (µ), lag times (lag) and generation times (td) of investigated samples (in 100% media).
SamplesConcentration (µg/mL)µ (min−1)lag (min)td (min)
negative control00.020810033
chestnut extract4000.014126949
5000.014426748
6000.011928458
7000.011958758
tannic acid3000.010918964
4000.007429994
5000.010128969
gallic acid24000.014117949
30000.016827341
36000.012031258
42000.008235584
vescalagin5000.012651355
castalagin3000.011324761
4000.009825371
5000.008526081
6000.0056407123
vescalin1000.016828141
2000.014438248
3000.011153762
castalin4000.015143846
streptomycin0.250.01816439
0.50.01222057
10.01332053
20.0045922152
Table 4. The gradient, applied in two initial flash purifications. The solvents used were A: water with 0.1% formic acid; B: methanol; C: acetone.
Table 4. The gradient, applied in two initial flash purifications. The solvents used were A: water with 0.1% formic acid; B: methanol; C: acetone.
t (min)Solvent A (%)Solvent B (%)Solvent C (%)
0.0–60.010000
60.4–135.070300
135.4–185.050500
185.4–197.590010
197.9–210.070030
210.4–222.550050
222.9–240.925075
248.3–260.050500
260.4–309.110000
Table 5. The gradient, applied in additional flash and preparative purifications. The solvents used were A: water containing 0.1% formic acid; B: acetonitrile.
Table 5. The gradient, applied in additional flash and preparative purifications. The solvents used were A: water containing 0.1% formic acid; B: acetonitrile.
t (min)Solvent A (%)Solvent B (%)
0.0–6.4982
8.6–20.1298
22.2–29.1982
Table 6. The gradient applied in an analytical HPLC method. The solvents used were A: 0.1% solution of formic acid in water; B: acetonitrile.
Table 6. The gradient applied in an analytical HPLC method. The solvents used were A: 0.1% solution of formic acid in water; B: acetonitrile.
t (min)Solvent A (%)Solvent B (%)
0.0—2.0982
14.05050
15.0–20.01090
22.0–26.0982
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Štumpf, S.; Hostnik, G.; Langerholc, T.; Pintarič, M.; Kolenc, Z.; Bren, U. The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureus. Plants 2023, 12, 2043. https://doi.org/10.3390/plants12102043

AMA Style

Štumpf S, Hostnik G, Langerholc T, Pintarič M, Kolenc Z, Bren U. The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureus. Plants. 2023; 12(10):2043. https://doi.org/10.3390/plants12102043

Chicago/Turabian Style

Štumpf, Sara, Gregor Hostnik, Tomaž Langerholc, Maša Pintarič, Zala Kolenc, and Urban Bren. 2023. "The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureus" Plants 12, no. 10: 2043. https://doi.org/10.3390/plants12102043

APA Style

Štumpf, S., Hostnik, G., Langerholc, T., Pintarič, M., Kolenc, Z., & Bren, U. (2023). The Influence of Chestnut Extract and Its Components on Antibacterial Activity against Staphylococcus aureus. Plants, 12(10), 2043. https://doi.org/10.3390/plants12102043

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop