Abstract
Methicillin-resistant Staphylococcus aureus (MRSA) and resistant Escherichia coli (rE.coli) infections can spread rapidly. Further they are associated with high morbidity and mortality from treatment failure. Therapy involves multiple rounds of ineffective antibiotics alongside unwanted side effects, alternative treatments are crucial. Apple cider vinegar (ACV) is a natural, vegan product that has been shown to have powerful antimicrobial activity hence we investigated whether ACV could ameliorate these resistant bacteria. The minimum dilution of ACV required for growth inhibition was comparable for both bacteria (1/25 dilution of ACV liquid and ACV tablets at 200 µg/ml were effective against rE. coli and MRSA). Monocyte co-culture with microbes alongside ACV resulted in an increase in monocyte phagocytosis by 21.2% and 33.5% compared to non-ACV treated but MRSA or rE. coli stimulated monocytes, respectively. Label free quantitative proteomic studies of microbial protein extracts demonstrated that ACV penetrated microbial cell membranes and organelles, altering the expression of key proteins. This resulted in significant reductions in total protein expression, moreover we could only detect ribosomal proteins; 50 s 30 s, enolase, phosphenol pyruvate and the ATP synthase subunit in rE. coli. Elongation factor iNOS and phosphoglycerate kinase OS were the only proteins present in MRSA samples following ACV treatment.
Subject terms: Immunology, Microbiology, Health care
Introduction
Microbial infections are presently posing major health threats worldwide on inconceivable scales. In fact, the globe is amid a deadly (coronavirus) COVID-19 pandemic and there is no cure. Infections such as HIV, SARS-CoV2, E-bola, MRSA and E. coli have been shown to spread rapidly among humans, causing complications including sepsis accompanied by cytokine storms which can lead to multiple organ failure and fatalities1. In addition, antimicrobial resistance and viral mutations are a huge concern which has led to further limits on therapeutic choice The World Health Organisation’s (WHO) 2017 global report on antimicrobial resistance states that there are high resistance rates to last generation drugs commonly used to treat serious hospital infections. It also highlights a two fold increase in all-cause mortality for both cephalosporin resistant and fluoroquinolone-resistant E. coli2.
The inappropriate use of antibiotics by humans, animal farms, poor hygiene and the lack of control of infections in healthcare have contributed to the emergence of antibiotic resistant bacteria. Multidrug resistant and extended spectrum beta lactamases producing E. coli can cause life threatening infections. E. coli and Staphylococcus aureus forms part of the facultative flora in the gastrointestinal tract and skin respectively3. Antibiotic resistance develops after prolonged exposure to antibiotics. Symptoms of E. coli infections include bloody diarrhoea, nausea, vomiting, dehydration, abdominal cramping and can lead to septic shock or death4. MRSA infection continues to be a major public health concern worldwide especially in hospitals and healthcare settings. MRSA can be fatal in immunocompromised, cancer patients, the elderly and even during routine hospital surgery. It spreads rapidly causing significant complications. MRSA can produce numerous toxins including super antigens that can lead to toxic shock syndrome and staphylococcal scarlet fever. Symptoms of MRSA infection often includes multiple swollen skin boils, rashes, headaches, chills, fever, fatigue, cough, breathlessness, and chest pain. Complications can lead to gangrene, painful abscesses and infections of the blood, cardiac, lung or urinary tract systems5–7. Although methicillin is no longer prescribed, MRSA tends to have antibiotic resistance to penicillin, cephalosporins, carbapenems and can develop resistance to quinolones, aminoglycosides and macroglides8. It was in the UK and Denmark in the 1960’s that the first MRSA epidemic occurred leading to the first MRSA isolates occurred9.
ACV is made from an alcoholic fermentation process of a combination of apples, sugar and yeast. The constituents include 5% acetic acid, mother of vinegar enzymes as well as potassium, magnesium and calcium10,11. One of these ingredients acetic acid, has potent antimicrobial properties and has been shown to inhibit planktonic growth of biofilms consisting of A. baumannii and P. aeruginosa on burns12. It has also been shown to inhibit yeast cell growth by causing mitochondrial and ribosomal degradation leading to apoptosis13. We have previously shown that ACV has strong antimicrobial action against non-resistant E. coli, Candida albicans and Staphylococcus aureus14. Therefore, the aim of the present study was to investigate the antibacterial activity of ACV on antibiotic resistant microbes.
Results
Antimicrobial activity of ACV against resistant E.coli and MRSA
To determine the anti-microbial activity of ACV we directly cultured resistant E. coli or MRSA with different concentrations of ACV.
Figure 1 shows the inhibition of growth in MRSA and rE. coli after treatment with different concentrations of ACV from (neat or undiluted, 1:2, 1:10, 1:25 v/v of Bragg’s liquid ACV or ACV tablets dissolved in water at 200 and 400 µg were used in culture with the microbes). Figure 2 represents light microscopic images of the co-culture of monocytes with both microbes with and without ACV (1:25 dilution) stained with trypan blue. To note there were significantly more monocytes which were alive following ACV addition as well as exposure to microbes. Furthermore, even neat ACV addition to monocytes in culture for 6 h was not toxic to the cells with over 90% monocyte viability. The minimum dose required to restrict growth for MRSA and rE. coli was a 1:25 dilution of Bragg’s ACV (0.5% acetic acid). We also compared different doses of commercial ACV oral tablets on the microbes. We tested concentrations in the range 50-400ug/mL in doubling dilutions of the ACV tablets against each microbe. The MIC for ACV tablets was 200 µg/mL for both MRSA and rE. coli respectively (Table 1). All dilutions were carried out using sterile water. We used Braggs ACV for all future experiments at the minimum inhibitory concentration required for each organism.
Table 1.
Microbe | Zone of inhibition (mm) (mean ± SD) |
---|---|
Resistant E. coli + ACV (neat) | 8 ± 1 |
Resistant E. coli + ACV (1 in 2) | 4.67 ± 0.5 |
Resistant E. coli + ACV (1 in 10) | 1.57 ± 0.5 |
Resistant E. coli + ACV (1 in 25) | 0.33 ± 0.6 |
Resistant E. coli + ACV (1 in 50) | 0 |
MRSA + ACV (neat) | 8.4 ± 0.7 |
MRSA + ACV (1 in 2) | 4.38 ± 0.5 |
MRSA + ACV (1 in 10) | 1.5 ± 0.6 |
MRSA + ACV (1 in 25) | 0.25 ± 0.5 |
MRSA + ACV (1 in 50) | 0 |
Resistant E. coli + ACV (400 µg/mL) | 5.6 ± 1 |
Resistant E. coli + ACV (200 µg/mL) | 3.33 ± 0.6 |
Resistant E. coli + ACV (100 µg/mL) | 0.33 ± 0.6 |
Resistant E. coli + ACV (50 µg/mL) | 0 |
MRSA + ACV (400 µg/mL) | 7.8 ± 0.6 |
MRSA + ACV (200 µg/mL) | 3.5 ± 0.6 |
MRSA + ACV (100 µg/mL) | 1 ± 0.8 |
MRSA + ACV (50 µg/mL) | 0 |
MRSA + clindamycin (125 mg/mL) | 10.18 ± 0.8 |
Resistant E. coli + trimethoprim (150 mg/mL) | 9.8 ± 0.5 |
E.coli or MRSA were inoculated onto MHA plates and co-cultured with different concentrations of ACV or antibiotics at 37° C for 24 h. After which time the effect on microbial growth was measured in mm by the diameter of the inhibition produced. Data is presented as mean ± SD of three similar experiments.
Upregulation of phagocytic capacity
Monocytes ingest microbes primarily through phagocytosis hence we tested the effects of ACV on this process.
Indeed a 21.2%, and 33.5% increase in monocyte phagocytic capacity was observed after MRSA or rE. coli co-culture with ACV (1:25 concentration) respectively and in comparison, to the resting unstimulated monocytes. The results were comparable to commonly prescribed antibiotics to these infections such as clindamycin or trimethoprim. Results are expressed as the mean and SD of three similar experiments (Table 2).
Table 2.
Monocytes co-cultured with microbes | % Phagocytosis (mean ± SD) |
---|---|
Resistant E. coli | 19.6 ± 0.8 |
Resistant E. coli + ACV (1/25) | 29.5 ± 1.0 |
MRSA | 26.9 ± 1.9 |
MRSA + ACV (1/25) | 33.0 ± 2.4 |
MRSA + clindamycin (125 mg/mL) | 34.5 ± 0.5 |
Resistant E. coli + trimethoprim (150 mg/mL) | 32.6 ± 0.7 |
In vitro differentiated macrophages were incubated with microbes for 4 h at 37 °C. Cells cultured with microbes with or without ACV were washed and processed for detection on the Beckton Dickinson flow cytometer. An analysis of changes in regional gated profiles and % shift in side scatter was measured. Data is presented as mean ± SD of 3 similar experiments.
Proteomic results of rE. coli and MRSA after exposure to ACV. Label free quantitative bottom-up proteomic study of microbes cultured with and without ACV were directly compared. We were able to identify more than 200 proteins of both microbe proteomes (supplement Table 1). In ACV treated rE. coli cultures there was an absence of key enzymes together with DNA replication, glycolytic and respiratory proteins. We could only detect a handful of proteins such as ATP synthase subunit, enolase, phosphenol pyruvate and ribosomal proteins 30 s, 50 s (Table 3). MRSA cultures were incredibly sensitive to ACV treatment. Key enzymes which were missing after ACV treatment included phosphoglycerate and chaperone protein elongation factor proteins compared to the total 200 MRSA proteins identified in controls (Table 3).
Table 3.
Microbe | Proteins absent after ACV treatment from microbe proteome analysis |
---|---|
Resistant E. coli + ACV (1/25) | Ribosomal proteins 30 s, DNA directed RNA polymerase subunit alpha, Elongation factor TU, Elongation factor G OS-E. coli, formate acetyl transferase 1 OS E-coli, chaperone protein, 60 kDa chaperonin OS E. coli |
MRSA + ACV (1/25) | Elongation factor TU, phosphoglycerate kinase |
Proteins were extracted, digested and subsequently analysed using ultra high performance liquid chromatography with high resolution mass spectrometry. The proteome for each organism was detected and the absence of proteins following 24 h of ACV treatment were identified using Proteome Discoverer software and tabulated. Data represent the repeats of 12 such experiments.
Discussion
Millions of years of evolution have resulted in bacteria evolving their survival utilising complex mechanisms of drug resistance to avoid killing by antimicrobial agents. ACV has grown in popularity forming the basis of a multitude of commercial health drinks and has been implicated as a cure all for many maladies15.
Our previous in vitro study highlighted the anti-inflammatory as well as antimicrobial effect of ACV on non-resistant E. coli, S. aureus and C. albicans14. We now extend the antimicrobial activity of ACV against MRSA and rE. coli. ACV inhibition of bacterial growth is comparable to the inhibition shown by trimethoprim and clindamycin which are typical antibiotics used to treat clinical E. coli and MRSA infections respectively16,17. Proteomic analysis of ACV treated resistant E-coli revealed the presence of key ribosomal proteins (30 s, 50 s). Interestingly erythromycin and other macrolide antibiotics can also target ribosomal structures which are involved in elongation structural polypeptides18. Perhaps this indicates the robustness of the ribosomal E. coli subunit. The presence of ATP synthase in rE. coli after ACV treatment is significant since ATP synthases are found ubiquitously in energy-transducing membranes of bacteria which are a crucial antibiotic target19. ACV could have destroyed the bacteria exposing its membrane where this protein is found. Bacterial enolase and phosphenol pyruvate were also detected following ACV treatment. Both proteins play a key role in bacterial growth and reproduction20,21. On ACV treated MRSA we could only identify two proteins against an extensive array of classified proteins of the MRSA genome. One of which was bacterial elongation factor which is a key translational protein involved in MRSA resistance and a focus of new antimicrobials22. The absence of phosphoglycerate kinase in MRSA following ACV addition indicates that ACV can disrupt the glycolytic MRSA pathway23. The anti-microbial capabilities of ACV have been verified clinically in a case of vaginal candida24. Recently ACV has been shown to have the capability of upregulating key innate immune defense genes in shrimp as well as increasing their growth in vivo following consumption. It has also been shown to support the intestinal shrimp microbiome25,26. A study in which diabetics were given ACV orally found that it increased the activity of antioxidant enzymes such as catalase and dismutase and glutathione peroxidase27. This could be an important factor in its antimicrobial attributes. Antibiotic resistant bacteria can cause complications especially in the gut28. In fact, it has been shown that loss of colonization resistance can lead to an increase in vancomycin-resistant E. coli predisposing patients to blood sepsis29. Hence, any compound which can amplify the innate immune system could be a formidable antidote for these dreaded resistant organisms. Another component of ACV which could account for its antimicrobial action is acetic acid which has been shown to be active at high (1.8%) and low concentrations including 0.3%12. In our studies the minimum ideal concentration for activity was a 1:50 dilution which would contain 0.1% acetic acid. Hence acetic acid may not be the only antimicrobial active component in ACV. Low pH can also effectively destroy microbes. ACV is mildly acidic with a pH of 5.6 compared to acetic acid which has a pH of 4.7. We did investigate the effects of strong organic acids such as hydrochloric and sulphuric acid at a range of concentrations on different microbes (results not shown) but did not see the same antimicrobial effects as with ACV. The effect of ACV on human blood parameters is scarce. We demonstrate for the first time that ACV did not have any effects on human monocytes in cultures, even after 24 h of direct ACV exposure at high concentrations; verifying that it is not damaging to white blood cells. This is a vital observation since ACV has been consumed as a food supplement for centuries, many people take it daily hence any side effects are important to highlight. ACV had toxic effects on microbes but reassuringly did not affect the integrity of human monocytes in our experiments. To note ACV should be consumed diluted in a little water or juice as it could burn the throat, otherwise no known toxicity or side effects have been reported due to its consumption. A study by Oussaid et al. 2020 investigated the effects of simultaneous glucose and ACV on rats who were fed 2 mL of ACV per kg of their weight for five weeks. There was an increase in plasma urea levels in the rats that were fed glucose alone but no change in urea levels in ACV treated rats. This demonstrated ACV did not affect kidney function in fact it corrected the urea levels when fed in combination with glucose29.
We conclude that ACV can have powerful anti-microbial effects directly on resistant E. coli and MRSA. Mode of action seems to involve an alteration in the pathogenic physiology of the microbes. These in vitro results highlight the antimicrobial capacity of ACV. Therefore, this study prompts further clinical research into the efficacy of treating patients infected with resistant bacterial infections with ACV supplementation. ACV could form the core ingredient of a contemporary pharmacological antimicrobial against MRSA and rE. coli.
Materials and methods
Chemical reagents, microorganisms, media and culture conditions
Microbial strains: resistant E. coli strain (NCTC 13353) which is highly resistant to cefepime and cefepime-enmetazobactam combination was purchased from LGC Promochem. MRSA strains (ATCC 33591, NCTC8325 resistant to methicillin) were purchased from Public Heath, Colindale, England. U937 cell line CRL-1593.2 was purchased from the American type culture collection.
Reagents
Dulbecco’s modified iscoves media, dimethyl-ethyl-sulphonyl-oxide, HANKS balanced salt solution, histopaque, ethanol, phosphate buffered saline, paraformaldehyde, acetone, dithiothreitol, iodoacetamide, trypsin from porcine pancreas of proteomics grade, formic acid, acetonitrile, HPLC-grade water, methanol and Whatman Mini-UniPrep syringeless filter devices (pore size 0.45 µm) were purchased from Sigma Aldrich (Poole, U.K.). TNF-alpha, enzyme linked immunosorbent assays (ELISA’s) were purchased from Research and Development Systems (Abingdon, U.K.). Mueller Hinton agar was purchased from Oxoid, UK. Bragg’s Apple Cider Vinegar and apple cider vinegar tablets (500 mg) were purchased from Troo healthcare, Colchester, UK.
Inoculum preparation and measurement of anti-microbial activity of ACV which was based on previously published methods by Yagnik et al.14
Cultures of resistant E. coli and MRSA were grown in nutrient media. All cultures were cultivated in a shaking incubator at 37 °C for 24 h overnight prior to use. Mueller Hinton agar (MHA) was prepared by dissolving 38 g in 1 L of distilled water, boiling the mixture for 1 min, after cooling and autoclaving, it was poured into plates. These were left to dry and subsequently stored at 37 °C. All microbial cultures were adjusted to 0.5 McFarland’s standard 1.5 × 108 CFU/ml and 4 × 106 CFU/ml of each organism were used in experiments. Each microbe was swabbed evenly onto plates containing MHA. For sample addition, 100 µL of ACV at varying concentrations was added to the wells which were punched into the agar. The plates were then incubated at 37 °C for 24 h. Zones of inhibition surrounding samples were identified, photographed and measured in mm. Experiments were repeated at least five times.
Ethical approval
All experimental protocols were approved by the Middlesex University Natural Sciences Ethics Committee, UK number 2323. In addition, the methods were carried out in accordance with the relevant guidelines and regulations.
Human mononuclear cell culture as similarly published previously by Yagnik et al.14
The human monocyte cell line U937 was used as a source of monocytes purchased from American type culture collection (ATCC). Cells were cultured at a density of 4 × 105/ml with either rE. coli , MRSA or varying concentrations of ACV at counts of 4 × 106 CFU/ml respectively for 24 h at 37 °C and 5% CO2 after which supernatants were collected and analysed for TNF-α secretion using ELISA kits following manufacturer’s protocols.
Monocyte phagocytic capacity measurement by flow cytometry
U937cells were cultured at 4 × 105/ml in 24 well plates over a period of two days after which they were incubated with microbes (4 × 106 CFU/ml) for 4 h at 37 °C and 5% CO2. Cells were then scraped replenished in ice cold PBS containing 1 mM EDTA, washed and removed from plates. The resultant pellets were fixed in 400 µL of 4% paraformaldehyde and analysed using a FACS Calibur flow cytometer (Beckton Dickinson Immunocytometry Systems, UK and Cell Quest software 2019).
Sample preparation for mass spectrometry analysis as similarly published previously by Yagnik et al.14
MRSA and rE. coli was incubated with or without ACV at 1/25 dilution for 24 h at 37 ∘C and centrifuged at 900 rpm, supernatant was removed leaving bacteria pellets. At least 12 sample repeats were used. Bacteria cell pellets were resuspended in cold acetone (600 μL) and centrifuged at 14,800 rpm for 5 min to precipitate protein. The supernatant was removed and 50 mM ammonium bicarbonate (400 μL) was then added to dissolve the extracted proteins. The protein concentration was measured using a nano drop device (Thermo Fisher UK).
Samples were reduced with 10 mM dithiothreitol (DTT) for 15 min at 56 °C and alkylated with 100 mM iodoacetamide for 30 min at room temperature in the dark. Each sample was then digested with trypsin at 37 °C overnight.
Mass spectrometry methods for microbial analysis based on those published previously by Yagnik et al.14
LC–MS/MS data acquisition based on methods similarly published previously by Yagnik et al.14
Tryptic digests were analysed using a Dionex Ultimate 3000 RSLC Nano ultra-high-performance liquid chromatography system coupled to a Q Exactive. Aliquot (15 μL) of tryptic digest was desalted and concentrated using a 5 mm × 300 μm i.d. C18 trap cartridge and solvents composed of a mixture of water and acetonitrile (98:2%, v/v) containing 0.05% TFA (loading solvent A) and a mixture of acetonitrile and water (80:20%, v/v) (loading solvent B) at a flow rate of 20 μL/min was used. The concentrated sample was separated using a binary gradient elution profile composed of a mixture of water and acetonitrile (95:5,v/v) containing 0.1% formic acid (eluent A) and a mixture of acetonitrile and water (80:20%, v/v) (eluent B) containing 0.1% formic acid at a flow rate of 6 μL/min. The gradient was 0 min—0% B, 4 min—5% B, 5 min—8% B, 40 min—40% B, 41 min—80% B. The auto sampler and column oven temperature were set to 4 and 40 °C respectively. The Q Exactive was operated in a data dependent mode. MS survey scans were acquired from m/z 350 to 2000 at resolution of 70,000 with AGC of 3e6 and maximum IT of 100 ms. The 10 most abundant ions were subjected to MS/MS and measured with a resolution of 17,500 and AGC of 1e5 and maximum IT of 200 ms14.
Data processing and analysis based on methods similarly published previously by Yagnik et al.14
LC–MS/MS data was processed using Proteome Discoverer v2.1 (ThermoFisher Scientific, UK) with database searching against a downloaded FASTA file originating from Uniprot_SwissProt_2019_02. Search parameters were set to match MS/MS spectra to peptides created by fully specific trypsin cleavage within a precursor mass tolerance of 10 ppm and with a fragment mass tolerance of 0.02 Da. Carbamidomethyl (CAM: + 57.021 Da) was set as a static modification to cysteines whereas methionine oxidation (MetOx: + 15.995 Da) was set as a variable modification. Results were initially visualised within the software and then exported to Excel for further review14.
Statistical analysis
All experimental results are expressed as the mean ± standard deviation (SD). Statistical analyses were carried out using one way ANOVA or students t-test, outcomes were considered significant where p < 0.05 (when comparing apple cider vinegar treated microbes to the untreated groups in all experiments). All experiments were repeated at least 3–5 times. Analysis was carried out using Excel software version 2019.
Supplementary Information
Author contributions
D.Y. conceived and performed the experiments, data analysis and wrote the manuscript. MW carried out the proteomic analysis. A.S. contributed to manuscript writing and data review.
Data availability
The datasets generated and analyzed during the current study can be made available upon request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-78407-x.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study can be made available upon request.