Background
Antibiotics have made a considerable contribution to the control of infectious diseases that have over time contributed to human morbidity and mortality for most of human existence [
1]. In spite of the existing range of conventional antimicrobial agents in clinical use, antimicrobial resistance (AMR) remains a constant threat with regular antibiotic use [
2,
3]. Among bacterial infections, the so-called “ESKAPE” pathogens have caused the most concerns based on their prevalence and overall mortality [
4]. Failure to take the appropriate measures to combat the progress of antimicrobial resistance may result in the loss of approximately 10 million lives and cost about US$100 trillion per year by 2050 [
5]. The significant gaps in the surveillance of antimicrobial resistance coupled with a lack of quality data on the impact of antimicrobial resistance is a common observation in most African countries [
5].
There is a continuous need to develop new medicines that are capable of overcoming microbial resistance. Approximately, 30 to 40% of the commercially available antimicrobial drugs are from natural products and primarily from microbial origins [
6]. Plants are a promising alternative in the search for new antimicrobials based on their utilization in traditional medicine for the management of bacterial diseases and potential to provide an unlimited range of chemical compounds for exploration [
6,
7]. Over 1340 plants possess defined antimicrobial activity and about 30,000 antimicrobial compounds have been isolated from plants [
8].
Drug combination is a recognized approach in both traditional and conventional medicine systems. It is based on synergistic interactions to improve the therapeutic efficacy and lifespan of drugs [
9‐
11]. For example, locals around the Lake Victoria basin in Tanzania reportedly utilize multi-plant extracts in the management of secondary opportunistic infections [
12]. Polyherbalism is also famous in Ayurveda [
13]. While the combination of conventional drugs is a common practice and a successful tactic in the management of drug resistant microorganisms, the outcome of combinations between herbal drugs remains obscure due to limited scientific appraisal [
14].
Based on a previous systematic review on the antibacterial activity of Kenyan medicinal plants,
Camelia sinensis, Aloe secundiflora, Toddalia asiatica and
Senna didymobotrya were selected for pharmacological assay as they exhibited high mean inhibition zone values and/ or low minimum inhibitory concentration (MIC) values [
15,
16].
Camelia sinensis L. (Theaceae) is a common evergreen shrub widely grown in many parts of the world. It is used as an astringent, stimulant, diuretic and de-flatulent in traditional medicine [
17]. It has antioxidant, antimicrobial, cholesterol lowering and cardio protective effects [
18]. The bioactive constituents include caffeine, L-theanine and polyphenols/flavonoids, proteins, minerals, vitamins, and amino acids [
17,
19].
Aloe secundiflora Engl. (Asphodelaceae) widely famed for its medicinal and cosmetic properties is the most commonly used Aloe species in Kenya [
20]. It remedies constipation, sore throat and promotes wound healing [
15]. The chemical constituents comprise tannins, terpenoids and flavonoids [
21].
Toddalia asiatica L. (Rutaceae) is a traditional remedy for coughs, dysentery and malaria [
22]. It has anti-inflammatory, analgesic, hemostatic coagulation anti-tumor effects. The main chemical constituents are coumarins and alkaloids [
23].
Senna didymobotrya (Fres.) Irwin & Barneby (Fabaceae) is abundant across East Africa and the traditional preparations relieve diarrhea, malaria and ringworm [
24]. Its pharmacological effects include antibacterial, antifungal and antioxidant [
25]. The chemical constituents consist of steroids, terpenoids, anthraquinones, tannins, saponins, glycosides, flavonoids, alkaloids and phenols [
24].
This study presents the first report on the antibacterial activities of various plant extract combinations of four Kenyan medicinal plants.
Results
Both the single and the combined plant extracts in this study displayed activity against the test bacteria. The patterns of antibacterial activity varied with the plant, test microorganism and the solvent used for extraction. Generally,
C. sinensis displayed activity against the widest range of microorganisms and the polar extracts from all the four plants demonstrated higher antibacterial activity than the non-polar extracts. For example, the methanol extract of
S. didymobotrya and that of
C. sinensis (Table
1) individually displayed low activity against
E. coli but exhibited an increase in the zone of inhibition in combination (Table
2). This scenario is replicated with the combination of the methanol extract of
A. secundiflora and methanol
C. sinensis (Table
2). The combination of dichloromethane extracts of
S. didyobotrya and
T. asiatica were not effective in inhibiting
MRSA. A few (5.26%) of the extract combinations resulted in lower zones of inhibition than the single plant extracts (Tables
1 and
2).
Table 1
Table showing mean diameter of zones of inhibition and Minimum inhibitory concentration (MIC) of single plant extracts against P. aeruginosa, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus and Methicillin Resistant Staphylococcus aureus
Aloe MeOH | 17.88 ± 0.22 | 5000 | 14.60 ± 0.18 | 5000 | 13.41 ± 0.18 | 10,000 | 14.39 ± 0.21 | 10,000 | 11.43 ± 0.12 | 10,000 |
Toddalia MeOH | 16.11 ± 0.14 | 5000 | 13.79 ± 0.02 | 5000 | 14.96 ± 0.36 | 10,000 | 13.82 ± 0.16 | 5000 | 14.07 ± 0.05 | 2500 |
Senna MeOH | 17.91 ± 0.02 | 312.5 | 14.40 ± 0.05 | 10,000 | 11.25 ± 0.13 | 10,000 | 15.75 ± 0.40 | 5000 | 12.03 ± 0.18 | 10,000 |
Camelia MeOH | 21.67 ± 0.08 | 312.5 | 14.01 ± 0.21 | 5000 | 13.03 ± 0.04 | 5000 | 16.74 ± 0.31 | 1250 | 16.57 ± 0.26 | 1250 |
Aloe DCM | 10.24 ± 0.01 | ND | 10.15 ± 0.03 | ND | 10.08 ± 0.02 | ND | 10.83 ± 0.14 | ND | 10.13 ± 0.04 | ND |
Toddalia DCM | 16.87 ± 0.23 | 1250 | 10.23 ± 0.07 | ND | 12.55 ± 0.11 | ND | 11.46 ± 0.15 | ND | 13.48 ± 0.12 | 5000 |
Senna DCM | 10.17 ± 0.06 | ND | 10.38 ± 0.12 | ND | 10.12 ± 0.03 | ND | 12.29 ± 0.18 | ND | 10.04 ± 0.01 | ND |
Camelia DCM | 11.15 ± 0.08 | ND | 10.00 ± 0.01 | ND | 10.36 ± 0.04 | ND | 10.03 ± 0.01 | ND | 10.08 ± 0.01 | ND |
Aloe PET | 10.30 ± 0.04 | ND | 10.21 ± 0.04 | ND | 10.10 ± 0.02 | ND | 10.65 ± 0.13 | ND | 10.06 ± 0.02 | ND |
Toddalia PET | 10.22 ± 0.02 | ND | 10.28 ± 0.02 | ND | 10.16 ± 0.05 | ND | 11.61 ± 0.04 | ND | 11.13 ± 0.03 | ND |
Senna PET | 10.12 ± 0.06 | ND | 10.32 ± 0.09 | ND | 10.17 ± 0.09 | ND | 12.55 ± 0.12 | ND | 10.10 ± 0.02 | ND |
Camelia PET | 11.04 ± 0.01 | ND | 10.24 ± 0.03 | ND | 11.05 ± 0.14 | ND | 10.11 ± 0.01 | ND | 10.04 ± 0.01 | ND |
Aloe H2O | 11.33 ± 0.25 | ND | 10.49 ± 0.11 | ND | 10.04 ± 0.01 | ND | 10.35 ± 0.19 | ND | 10.24 ± 0.02 | ND |
Toddalia H2O | 10.31 ± 0.16 | ND | 10.33 ± 0.08 | ND | 10.10 ± 0.02 | ND | 11.06 ± 0.02 | ND | 10.26 ± 0.01 | ND |
Senna H2O | 19.72 ± 0.29 | 312.5 | 11.39 ± 0.13 | 10,000 | 10.42 ± 0.16 | 10,000 | 13.12 ± 0.04 | 10,000 | 10.50 ± 0.06 | 10,000 |
Camelia H2O | 15.66 ± 0.23 | 2500 | 13.48 ± 0.03 | 2500 | 17.04 ± 0.24 | 2500 | 14.75 ± 0.27 | 2500 | 15.05 ± 0.13 | 2500 |
DMSO | 0.00 | | 0.00 | | 0.00 | | 0.00 | | 0.00 | |
Gentamycin sulphate (0.3 mg/ ml) | 23.24 ± 0.20 | 4.375 | 14.00 ± 0.02 | 8.75 | 16.02 ± 0.08 | 8.75 | | | | |
Mupirocin (0.1 mg/ml) | | | | | | | 25.92 ± 0.23 | 2.315 | 25.9 ± 0.10 | 8.75 |
Table 2
Table showing mean diameter of zones of inhibition, Minimum inhibitory concentration (MIC) and Fractional Inhibitory Concentration Index (FICI) of plant extract combinations against Pseudomonas aeruginosa, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus and Methicillin Resistant Staphylococcus aureus
Camelia MeOH/Senna MeOH | 27.22 ± 0.41 | 156.25 |
1.0
**
| 14.93 ± 0.35 | 1250 |
0.375
*
| 14.02 ± 0.03 | 625 |
0.188
*
| 16.43 ± 0.10 | 1250 | 1.25*** | 19.91 ± 0.31 | 1250 |
0.5625
*
|
Camelia MeOH/Aloe MeOH | 22.07 ± 0.38 | 312.5 | 1.1*** | 14.19 | 2500 |
1.0
**
| 14.17 ± 0.22 | 2500 |
0.75
**
| 14.72 ± 0.34 | 2500 | 2.25*** | 16.24 ± 0.22 | 1250 | 1.125*** |
Camelia MeOH/Toddalia MeOH | 18.35 ± 0.22 | 625 | 2.1*** | 13.72 ± 0.16 | 2500 |
1.0
**
| 10.48 ± 0.17 | ND | ND | 14.43 ± 0.12 | 2500 | 2.5*** | 17.06 ± 0.41 | 1250 | 1.5*** |
Camelia MeOH/Toddalia DCM | 19.03 ± 0.46 | 625 | 2.5*** | 13.51 ± 0.10 | ND | ND | 10.05 ± 0.01 | ND | ND | 13.49 ± 0.23 | ND | ND | 16.28 ± 0.32 | 1250 | 1.25*** |
Senna DCM/Toddalia DCM | ND | ND | ND | 12.77 ± 0.01 | ND | ND | ND | ND | ND | 14.33 ± 0.16 | ND | ND | 10.70 ± 0.06 | ND | ND |
Camelia H2O/Senna H2O | 22.22 ± 0.15 | 156.25 |
0.5625
*
| 10.36 ± 0.10 | ND | ND | 10.15 ± 0.04 | ND | ND | 14.1 ± 0.02 | 10,000 | 5**** | 13.96 ± 0.24 | 1250 |
0.625
**
|
DMSO | 0.00 | | | 0.00 | | | 0.00 | | | 0.00 | | | 0.00 | | |
Gentamycin sulphate (0.3 mg/ml) | 23.24 ± 0.20 | 4.375 | | 14.00 ± 0.02 | 8.75 | | 16.02 ± 0.08 | 8.75 | | | | | | | |
Mupirocin (0.1 mg/ml) | | | | | | | | | | 25.92 ± 0.23 | 2.315 | | 25.9 ± 0.10 | 2.315 | ND |
The absolute values of the diameter of zones of inhibition (DZI) varied from 10.04 to 27.22 mm (Tables
1 and
2). The minimum inhibitory concentration range for the extract combinations was 10,000 µg/well – 156.25 µg/well and 10,000 µg/well – 1250 µg/well for single extracts (Tables
1 and
2). The ANOVA test indicated significant difference (P < 0.05) in bioactivity between these combinations. The fractional inhibitory concentration indices (FICI) showed that the interactions were synergistic (10.5%), additive (31.6%), indifferent (52.6%), and antagonistic (5.3%). The fractional inhibitory concentration indices (FICI) ranged from 0.5 to 2.5 for
P. aeruginosa, 0.375 to 1.0 for
K. pneumoniae, 0.188 to 0.75 for
E. coli, 1.25 to 5 for
S. aureus and 0.5625 to 0.625 for
MRSA strains. The best synergistic interaction (FICI 0.188) appeared with
Camelia methanol and
Senna methanol combination against
E. coli strain.
Discussion
The polar single extracts had higher activity than the non-polar single extracts. This is in agreement with the findings of a previous studies [
36,
45‐
49]. The methanol crude extracts showed more inhibition than the aqueous extracts (Table
1). This observation is similarly reported in previous studies [
50‐
52]. It is possible that the aqueous crude extracts may contain a lower concentration of antibacterial constituents and this may explain why large quantities of decoctions are taken over a relatively long period to achieve therapeutic success [
53,
54].
It is evident that combining some plant extracts improved bioactivities over individual plant extracts. In this study, the polar compounds interacted more synergistically than the non-polar compounds. These findings are comparable to previous studies [
7,
10,
45,
55,
56]. Combination drug therapies target multiple pathologic processes thus are capable of suppressing bacterial resistance mechanisms to remedy bacteria [
8,
57].
The observed synergistic activity may be explained by the ability of compounds within the plants extracts to interact with one another to improve their solubility, enhance their bioavailability and subsequent antibacterial activity. Possible differences in modes of action of different compounds present in the combined extracts may also result in synergism [
58‐
60]. Pharmacodynamic synergy may have also occurred resulting in different agents regulating either the same or different target in various pathways [
61]. The combinations that displayed these positive interactions can be considered as a potential strategy to combat bacterial resistance.
As previously reported elsewhere, non-polar extracts seem less potent than the polar extracts (Tables
1 and
2) [
62,
55]. For combinations with non- polar constituents, higher doses but within safety levels can be explored in future [
36,
55].
The lower activity in some combinations may be attributed to the respective compounds either neutralizing each other’s activity or forming inactive complexes when in combination [
63,
64]. Combination of compounds with minor structural differences that may compete for the same molecular target could also result in antagonism [
65]. For the combinations that displayed antagonistic activity, different combination ratios could be further explored [
66,
67].
The observed variation in the antibacterial activities for specific plant extract combinations could be due to the differences in chemical composition and concentrations [
44,
68]. Some constituents from the plants have reported antibacterial activity through various mechanisms. Ulopterol, a coumarin compound from
T. asiatica has been shown to inhibit the growth of
K. pneumoniae and
E. coli [
69]. An alkaloid (chelerythrine) isolated from
T. asiatica exerts its antibacterial activity via destroying the cell wall and membrane [
70].
Tannins present in
C. sinensis are shown to react with proteins of the bacterial cell wall to form stable water-insoluble components [
71]. Flavonoids bind with intracellular proteins as well as soluble proteins present in the bacterial cell walls. Steroids are shown to form complexes with membrane lipids thus resulting in leakage [
21,
72,
73]. These compounds present in In
C. sinensis, may have contributed to the observed antibacterial effect. The exhibited antibacterial activity of
S. didymobotrya may be due to the presence of alkaloids that are known to interchelate with DNA of both Gram positive and negative bacteria and interfere with cell division [
74].
Essential oils have been shown to disrupt the cell wall and lipid bilayer of gram-positive bacteria, resulting in the disarray of metabolic processes and cell lysis [
75]. This may account for the antibacterial activity observed in non-polar extracts of
T. asiatica and
S. didymobotrya against
S. aureus and
MRSA.
In this study, the combination of extracts with a similar phytochemical profile displayed increased bioactivity as in the case of S. didymobotrya and C. sinensis. This may be due to increased concentrations of the similar antibacterial compounds thus resulting in higher potency.
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