Literature DB >> 26287155

Inhibition of Cytosolic Phospholipase A2α (cPLA2α) by Medicinal Plants in Relation to Their Phenolic Content.

Eva Arnold1, Thorsten Benz2, Cornelia Zapp3, Michael Wink4.   

Abstract

The cytosolic phospholipase A2α(cPLA2α) is one of the potential targets for anti-inflammatory drugs, since this enzyme plays a key role in the inflammation processes seen in health disorders, like asthma, allergic reactions, arthritis and neuronal diseases. In this study, cPLA2α inhibition by 43 methanol extracts from medicinal plants rich in polyphenols was determined. The eight most active extracts were derived from Ribes nigrum (IC50 of 27.7 μg/mL), Ononis spinosa (IC50 of 39.4 μg/mL), Urtica dioica (IC50 of 44.32 μg/mL), Betula sp. (IC50 of 58.02 μg/mL), Sanguisorba officinalis (IC50 of 76.25 μg/mL), Orthosiphon stamineus (IC50 of 78.83 μg/mL), Petasites hybridus (IC50 of 81.02 μg/mL) and Tussilago farfara (IC50 of 123.28 μg/mL). Additionally, the antioxidant activities of these extracts were determined with the 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay and their phenolic content with the Folin-Ciocalteu reagent. Antioxidant activity showed a non-linear, positive correlation to the phenolic content, but no correlation of PLA2 inhibition with phenolic content could be established. This study provides evidence that cPLA2α may be a relevant target for anti-inflammatory agents.

Entities:  

Keywords:  DPPH; Folin–Ciocalteu reagent; anti-inflammatory; antioxidant activity; arachidonic acid; cytosolic phospholipase A2α; medicinalplants; phenolic content

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Year:  2015        PMID: 26287155      PMCID: PMC6331921          DOI: 10.3390/molecules200815033

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


1. Introduction

The phospholipases A (PLA) play an important role in the inflammatory response. The enzymes catalyze the release of a fatty acid at the sn-position of membrane phospholipids. This leads to the release of a lysophospholipid, which itself functions as a signal molecule, and arachidonic acid (AA), a poly-unsaturated fatty acid. AA is the precursor for the synthesis of the eicosanoids, which are lipid mediators of the inflammatory response. Two well-known subgroups of eicosanoids are the prostaglandins and leukotrienes, which are produced from AA through the enzymes cyclooxygenase 1 and 2 (COX-1 and COX-2) and 5-lipoxygenase (5-LOX), respectively [1]. Whereas COX enzymes are well-studied targets for anti-inflammatory drugs like acetylsalicylic acid, no drugs are on the market for 5-LOX and PLA, so far. Depending on their size, catalytic mechanism and specificity for AA, there are more than ten groups of PLA enzymes [1]. Among PLA enzymes, the cytosolic PLA alpha from Subgroup IV (cPLA) is known to have the highest specificity for AA [2] and, therefore, is discussed as the key enzyme in the release of AA for eicosanoid synthesis [1,3]. cPLA has been associated with inflammation-related diseases, like asthma and allergic reactions [4,5,6], arthritis [7,8] and neuronal diseases, such as Alzheimer’s disease [9,10], multiple sclerosis [11] and Parkinson’s disease [12]. Therefore, the cPLA isoform should be a potential target for anti-inflammatory drugs [13]. In the history of the therapy of inflammation, medicinal plants have always played important roles [14]; still, their mechanisms of action are often unknown. In this study, porcine cPLA inhibition by 43 methanol extracts of different medicinal plants was analyzed, known to accumulate potentially anti-inflammatory polyphenols, such as flavonoids, which are known to have an influence on the arachidonic acid metabolism [14,15,16]. Following this screening, we further examined the eight most potent inhibitory extracts in more detail. In addition, the total phenolic content of these extracts was quantified with Folin–Ciocalteu reagent and their antioxidant activity with DPPH. We further analyzed whether anti-inflammatory properties are correlated with phenolic content and anti-oxidant activities.

2. Results and Discussion

Initially, 43 methanol extracts from 43 species of 25 different plant families were screened for cPLA inhibition at a final concentration of 100 µg/mL. As a positive control, the cPLA inhibitor arachidonyl trifluoromethyl ketone (25 µM) was employed, resulting in an 80% inhibition. All experiments were conducted the same way, and no abnormalities occurred. Figure 1 shows an exemplary HPLC chromatogram from a sample of 100 µg/mL Ononis spinosa incubated with cPLA. Among the active extracts, 17 showed over 50% inhibition of AA release (see Table 1 for all screening results). From these, the eight best inhibitory extracts, Urtica dioica (leaf), Petasites hybridus (leaf), Sanguisorba officinalis (herb), Ribes nigrum (leaf), Betula sp. (leaf), Ononis spinosa (herb), Orthosiphon stamineus (leaf) and Tussilago farfara (leaf), in descending order, were chosen to establish the dose dependence of cPLA inhibition.
Figure 1

HPLC chromatogram of a sample of Ononis spinosa herb extract (100 µg/mL) incubated with cPLA2α. Absorbance (AU, y-axis) is depicted in relation to time (min, x-axis) at a detection wavelength of 200 nm (A) and 254 nm (B), respectively. AA = arachidonic acid peak; Int.Std. = the peak of the internal standard 4-undecyloxybenzoic acid.

Table 1

cPLA inhibition (%) by 100 µg/mL methanol extract of 43 plants. Species are ordered according to their inhibitory activity.

Scientific NamePlant FamilyPartDrug NameInhibition ± Error (%)
Urtica dioica L.UrticaceaeleafUrticae folium74.7 ± 2.87
Petasites hybridus (L.) Gaertn.AsteraceaeleafPetasitidis folium73.01 ± 2.42
Sanguisorba officinalis L.RosaceaeherbSanguisorbae herba70.24 ± 2.88
Ribes nigrum L.GrossulariaceaeleafRibis nigri folium69.49 ± 8.49
Betula sp. L.BetulaceaeleafBetulae folium68.69 ± 13.3
Ononis spinosa L.FabaceaeherbOninidis herba67.97 ± 7.94
Orthosiphon stamineus BenthLamiaceaeleafOrthosiphonis folium65.71 ± 7.64
Tussilago farfara L.AsteraceaeleafFarfarae folium54.91 ± 3.82
Paullinia cupana KunthSapindaceaefruitGuaranae fructus54.71 ± 3.86
Senegalia catechu (L.F.) Hurter & Mabb.FabaceaegumGummi catechu54.61 ± 7.2
Styphnolobium japonicum (L.) SchottFabaceaeflowerSophorae flos53.68 ± 2.69
Helichrysum arenarium (L.) MoenchAsteraceaeflowerHelichrysi flos53.12 ± 3.34
Hamamelis virginiana L.HamamelidaceaeleafHamamelidis folium52.82 ± 5.67
Camellia sinensis (L.) KuntzeTheaceaeleafTheae folium52.46 ± 2.93
Centella asiatica (L.) UrbanApiaceaeherbCentellae herba51.85 ± 4.07
Tropaeolum majus L.TropaeolaceaeherbTropaeoli herba50.85 ± 3.59
Arnica montana L.AsteraceaeflowerArnicae flos50.06 ± 4.1
Tanacetum parthenium (L.) Sch.Bip.AsteraceaeherbTanaceti parthenii herba49.46 ± 3.92
Cynara cardunculus L.AsteraceaeleafCynarae folium44.85 ± 4.52
Plantago lanceolata L.PlantaginaceaeleafPlantaginis lanceolatae folium42.25 ± 3.93
Leonurus cardiaca L.LamiaceaeherbLeonuri herba41.87 ± 3.79
Marsdenia cundurango Rchb.f.ApocynaceaecortexCondurango cortex41.84 ± 5.34
Melissa officinalis L.LamiaceaeleafMelissae folium41.53 ± 4.48
Agathosma betulina (Berg.) PillansRutaceaeleafBucco folium39.49 ± 5.55
Solidago sp. L.AsteraceaeherbSolidaginis herba36.66 ± 5.12
Quercus sp. L.FagaceaecortexQuercus cortex36.29 ± 3.95
Salix alba L.SalicaceaecortexSalicis cortex34.33 ± 5.71
Crataegus sp. Tourn. ex L.RosaceaeflowerCrataegi flos29.83 ± 18.31
Vaccinium vitis-idaea L.EricaceaeleafVitis idaei folium29.36 ± 6.88
Harungana madagascariensis Lam. ex PoiretHypericaceaecortexHarongae cortex29.36 ± 4.16
Peumus boldus MolinaMonimiaceaeleafboldo folium28.46 ± 8.37
Salvia officinalis L.LamiaceaeleafSalviae folium26.16 ± 7.89
Berberis vulgaris L.BerberidaceaecortexBerberidis cortex24.9 ± 4.27
Juglans regia L.JuglandaceaeleafJuglandis folium23.88 ± 4.45
Arctostaphylos uva-ursi (L.) Spreng.EricaceaeleafUvae-ursi folium22.04 ± 5.75
Verbascum sp. L.ScrophulariaceaeflowerVerbasci flos21.64 ± 4.49
Vaccinium myrtillus L.EricaceaeleafMyrtilli folium19.17 ± 6.68
Filipendula ulmaria (L.) Maxim.RosaceaeherbFilipendulae herba10.19 ± 10.43
Alchemilla vulgaris L.RosaceaeherbAlchemillae herba10.03 ± 5.76
Fragaria vesca L.RosaceaeleafFragariae folium7.28 ± 5.14
Hamamelis virginiana L.HamamelidaceaecortexHamamelidis cortex1.41 ± 12.42
Punica granatum L.LythraceaecortexGranati cortex−10.69 ± 6.81
Humulus lupulus L.CannabaceaeglandsLupuli glandula−65.16 ± 10.73
Arachidonyl Trifluoromethyl Ketone (25 µM)---80.04 ± 3.58
The activity of cPLA strongly depends on calcium ions, which are necessary for its binding to substrate [2,17]. Furthermore, enzymatic activity can be raised two to three times by phosphorylation [18,19]. It has been shown that phosphorylation of human cPLA takes place within five minutes after stimulation of platelets with thrombin [18,20]. In our experimental setup, we isolate the porcine cPLA from fresh blood. In the process of slaughtering, the pigs experience stress and injury, which may trigger the production of thrombin. Thus, during the process of platelet isolation from porcine blood in the lab, phosphorylation of porcine cPLA may take place. However, we did not observe platelet coagulation as a consequence of thrombin production. cPLA inhibition (%) by 100 µg/mL methanol extract of 43 plants. Species are ordered according to their inhibitory activity. HPLC chromatogram of a sample of Ononis spinosa herb extract (100 µg/mL) incubated with cPLA2α. Absorbance (AU, y-axis) is depicted in relation to time (min, x-axis) at a detection wavelength of 200 nm (A) and 254 nm (B), respectively. AA = arachidonic acid peak; Int.Std. = the peak of the internal standard 4-undecyloxybenzoic acid.

2.1. Dose Dependence of cPLA Inhibition

All eight extracts exhibited a dose-dependent cPLA inhibition (Figure 2). With an IC value of 27.7 ± 4.71 µg/mL, the extract from Ribes nigrum was the most potent cPLA inhibitor (Figure 2A), followed by Ononis spinosa (39.4 ± 6.49 µg/mL) (Figure 2B), Urtica dioica (44.32 ± 5.88 µg/mL) (Figure 2C) and Betula sp. (58.02 ± 5.99 µg/mL) (Figure 2D). A little less active were the extracts of Sanguisorba officinalis (Figure 2E), Orthosiphon stamineus (Figure 2F) and Petasites hybridus (Figure 2G), with corresponding IC values of 76.25 ± 10.93 µg/mL, 78.83 ± 15.55 µg/mL and 81.02 ± 18.23 µg/mL, respectively. The least active extract in this selection came from Tussilago farfara with an IC of 123.28 ± 15.06 µg/mL (Figure 2H).
Figure 2

Dose-dependence of cytosolic phospholipase A2α (cPLA2α) inhibition by extracts of: Ribes nigrum (A); Ononis spinosa (B); Urtica dioica (C); Betula sp. (D); Sanguisorba officinalis (E); Orthosiphon stamineus (F); Petasites hybridus (G); and Tussilago farfara (H). cPLA2α activity (%) is plotted against extract concentration (µg/mL). The x-axes are scaled logarithmically.

Previous studies have reported anti-inflammatory activity for four of the eight plants, Urtica dioica, Orthosiphon stamineus, Ribes nigrum and Ononis spinosa, in the carragenan-induced paw edema model in rats [21,22,23,24,25,26]. The inflammatory reaction to carrageenan is biphasic: in the first phase, there is a release of histamine and serotonin, whereas the second phase is characterized by the release of eicosanoids, like prostaglandins [27,28,29]. This model can thus be used to study non-specific inflammation, including the release of arachidonic acid through cPLA. In addition to the effect in the paw edema model, Urtica dioica extracts were shown to inhibit COX-1 and COX-2 directly and to act as an antagonist at the histamine 1 receptor, a key target for allergic reactions [30,31]. With regard to the role of cPLA enzyme in allergic reactions [4,5,6], the cPLA inhibiting the potential of Urtica dioica may be important as an anti-allergy agent. Dose-dependence of cytosolic phospholipase A2α (cPLA2α) inhibition by extracts of: Ribes nigrum (A); Ononis spinosa (B); Urtica dioica (C); Betula sp. (D); Sanguisorba officinalis (E); Orthosiphon stamineus (F); Petasites hybridus (G); and Tussilago farfara (H). cPLA2α activity (%) is plotted against extract concentration (µg/mL). The x-axes are scaled logarithmically. As concerns Sanguisorba officinalis and Ononis spinosa, the roots are well-known traditional phytomedicines [14]. For the aerial parts of these plants, anti-inflammatory activities have not been reported. Root extracts of Sanguisorba officinalis exhibited an anti-asthmatic and anti-allergic effect in mouse models [32,33]. In vitro assays with lipopolysaccharide and interferon gamma stimulated mouse macrophages showed the potential of a Sanguisorba officinalis extract to substantially inhibit prostaglandin, nitric oxide (NO) and tumor necrosis factor alpha production [34,35]. Ononis spinosa root extract showed an analgesic effect in mice equivalent to the positive control aspirin [36] and was able to reduce carrageenan-induced paw edema in rats [21]. We now provide evidence that cPLA is probably the target for the anti-inflammatory activity of the aerial parts from Sanguisorba officinalis and Ononis spinosa. Prostaglandin and leukotriene synthesis were inhibited by extracts from Petasites hybridus [37,38]. Furthermore, extracts from this plant are marketed as a prophylactic for the treatment of migraine [39,40]. However, its use in the therapy of allergic rhinitis and asthma has been discussed controversially [41,42,43,44]. In this study, we provide evidence that Petasites hybridus directly inhibits cPLA, which would also explain the reported inflammatory and anti-allergic activities. The extract of Tussilago farfara and its ingredient tussilagon inhibit NO and prostaglandin production in stimulated murine microglia cells and macrophages [35,45,46]. The anti-inflammatory effect of tussilagone may be due to an induction of heme oxygenase-1 [47] and an inhibition of COX-2 and nitric oxide synthase gene expression [45]. The anti-inflammatory activity is moderate, as seen from our results of cPLA inhibition. In traditional medicine, Betula sp. leaves are used to treat inflammation [14]. This may be the result of a variety of flavonoids and triterpenoids present [48,49,50]. Betula pendula leaf extract showed an inhibitory effect against corneal inflammation in rats [51], lymphocyte growth and cell division [52]. Our results indicate that the anti-inflammatory effect of Betula sp. may involve the inhibition of cPLA.

2.2. cPLA Inhibition in Relation to Phenolic Content and Antioxidant Activities

Phenolic secondary metabolites, for example flavonoids, have the ability to unspecifically interact with all kinds of biomolecules, especially proteins. This results, for example, in an inhibition of the catalytic mechanism of enzymes [53]. As a consequence, polyphenols could directly inhibit cPLA, which would lead to a lower AA release. As expected, the results of the Folin–Ciocalteu assay confirmed that all eight extracts contain phenolic ingredients (see Table 2). It is very interesting that four of the plants—Betula sp., Orthosiphon stamineus, Urtica dioica and Ononis spinosa—are used as diuretics in phytomedicine [14]. The diuretic effect is attributed to the flavonoid content of these plants. Many flavonoids are known for their anti-inflammatory properties [15,49,54].
Table 2

Summary of cPLA inhibition, phenolic content and DPPH scavenging activity of the eight most potent extracts. The cPLA inhibition is shown as the IC value (µg/mL final extract concentration); phenolic content relates to gallic acid equivalents (GAE) in mg per g extract. The DPPH radical scavenging is shown as EC (µg/mL final extract concentration). Values are means (n = 3) ± the standard error (SE), ordered according to their cPLA inhibitory activity.

cPLA2α InhibitionPhenolic ContentRadical Scavenging
Extract(IC50)(GAE)(EC50)
 µg/mL ± SE mg/g ± SE µg/mL ± SE
Ribes nigrum 27.7 ± 4.71131.25 ± 7.1513.36 ± 0.6
Ononis spinosa 39.4 ± 6.4920.55 ± 2.56271.07 ± 13.13
Urtica dioica 44.32 ± 5.8838.26 ± 2.4190.5 ± 4.01
Betula sp.58.02 ± 5.9962.59 ± 2.3827.17 ± 1.26
Sanguisorba officinalis 76.25 ± 10.93116.96 ± 5.8914.93 ± 0.66
Orthosiphon stamineus 78.83 ± 15.5550.2 ± 0.2630.33 ± 2.06
Petasites hybridus 81.02 ± 18.23122.61 ± 4.7314.27 ± 0.76
Tussilago farfara 123.28 ± 15.06122.39 ± 5.4614.54 ± 0.72
The Folin–Ciocalteu reagent not only reacts to phenolic compounds, but also to reducing agents [55]. To evaluate this interference, the reducing power of the extracts was tested with the stable free radical DPPH. As a control, the EC value of ascorbic acid was determined and was expectedly low with 3.18 ± 0.15 µg/mL [56]. Several previous studies confirmed a correlation between the phenolic content determined with Folin–Ciocalteu reagent and the reducing capacity of different plant extracts [57,58,59,60]. In view of the mechanism, which in both assays is based on electron transfer, this is no surprise [55]. Summary of cPLA inhibition, phenolic content and DPPH scavenging activity of the eight most potent extracts. The cPLA inhibition is shown as the IC value (µg/mL final extract concentration); phenolic content relates to gallic acid equivalents (GAE) in mg per g extract. The DPPH radical scavenging is shown as EC (µg/mL final extract concentration). Values are means (n = 3) ± the standard error (SE), ordered according to their cPLA inhibitory activity. EC values for DPPH reduction range between 13.36 ± 0.6 µg/mL (Ribes nigrum) and 271.07 ± 13.13 µg/mL (Ononis spinosa). With an IC value of >200 µg/mL, Ononis spinosa may be considered as not active. When our results of the radical scavenging are plotted against the phenolic content, an inverse non-linear correlation can be seen (see Table 2, Columns 2 and 3, and Figure 3A), meaning that the higher the phenolic content, the stronger the antioxidant effects. Hence, the extracts with higher phenolic content also show higher radical scavenging activity (evident in a low EC).
Figure 3

Correlation of antioxidant activities and cPLA2α inhibition with the phenolic content of the extracts. In (A), the EC values of radical scavenging (µg/mL extract concentration, y-axis) are plotted against the phenolic content (GAE mg/g, x-axis). The non-linear regression curve is calculated with SigmaPlot (polynomial, inverse second order, simplified), resulting in the following equation: ; (B) The IC values of cPLA2α inhibition (µg/mL extract concentration, y-axis) plotted against the phenolic content (GAE mg/g, x-axis). The values do not reveal a correlation. (A): DPPH (EC) vs. phenolic content; (B): cPLA2α inh. (IC50) vs. phenolic content.

While radical scavenging activity and phenolic content correlate very well, cPLA inhibition is apparently not correlated with the phenolic content (Figure 3B). The best example is Tussilago farfara extract, which showed the lowest cPLA inhibition by far, combined with the third highest phenolic content. However, Ribes nigrum extract showed the highest phenolic content together with the strongest cPLA inhibition (Table 2).

2.3. Urtica dioica and Ononis spinosa as Promising New Anti-Inflammatory Drugs with Regard to cPLA as a Target

Polyphenols unspecifically bind to proteins, thereby often resulting in conformational changes that lead to inhibition of the enzymatic activity [53]. However, phenolic secondary metabolites may not be the main cause for cPLA inhibition, since there seems to be no correlation between phenolic content of the eight methanol extracts and their cPLA inhibition. Furthermore, some polyphenol-rich plant extracts, such as Punica granatum and Humulus lupulus, did not inhibit cPLA, but instead appear to act as agonists, as the AA production was elevated to 110% and 165%, compared to the control (see Table 1). Therefore, other non-phenolic ingredients may be responsible for cPLA inhibition. Two extracts showing very low phenolic content, but high cPLA inhibition, are Ononis spinosa and Urtica dioica. Since these two extracts seem to be the most promising cPLA inhibitors despite their low phenolic content, we assume that they may contain specific cPLA inhibitors. Correlation of antioxidant activities and cPLA2α inhibition with the phenolic content of the extracts. In (A), the EC values of radical scavenging (µg/mL extract concentration, y-axis) are plotted against the phenolic content (GAE mg/g, x-axis). The non-linear regression curve is calculated with SigmaPlot (polynomial, inverse second order, simplified), resulting in the following equation: ; (B) The IC values of cPLA2α inhibition (µg/mL extract concentration, y-axis) plotted against the phenolic content (GAE mg/g, x-axis). The values do not reveal a correlation. (A): DPPH (EC) vs. phenolic content; (B): cPLA2α inh. (IC50) vs. phenolic content.

3. Experimental Section

3.1. Reagents and Chemicals

HPLC-grade water and acetonitrile, nordihydroguaiaretic acid (NDGA), 4-undecyloxybenzoic acid, Folin–Ciocalteu phenol reagent (2 N), protease inhibitor cocktail (containing AEBSF, aprotinin, Bestatin, E-64, leupeptin and pepstatin A) were purchased from Sigma-Aldrich (Taufkirchen, Germany); 1-stearoyl-2-arachidonoyl-phosphatidylcholine (SAPC), 1,2-dioleoyl-sn-glycerol (DOG) and bromoenol lactone were from Cayman Chemical (Ann Arbor, MI, USA, delivered via Biomol, Hamburg, Germany); dithiothreitol (DTT) from Applichem (Darmstadt, Germany) and ascorbic acid were from Carl Roth (Karlsruhe, Germany).

3.2. Isolation of cPLA from Porcine Platelets

Fresh porcine blood (750 mL) from a nearby slaughterhouse (Fleischversorgungszentrum, Mannheim, Germany) was immediately mixed 1:5 with citrate buffer (85 mM NaCitrate × 2 HO, 66.6 mM citric acid and 111 mM D(+)glucose) and subsequently centrifuged at portions of 20 mL (per 50 mL tube) at 2000× g (Hettich Rotina 380R, Hettich Lab Technology, Tuttlingen, Germany) for 3 min at 4 C. The platelet-rich supernatant was transferred to fresh tubes, and platelets were centrifuged at 1600× g for 20 min at 4 C. The pellet was resuspended with 3 mM EDTA in phosphate-buffered saline (137 mM NaCl, 2.68 mM KCl, 10.14 mM NaHPO, 1.76 mM KHPO, pH 7.5) and centrifuged again. Platelet lysis and cPLA isolation were conducted as described in [61], with minor changes. Briefly, platelets were lysed in a hypotonic buffer at −20 C over night after the addition of protease inhibitor cocktail. After sonification (Omni-Ruptor 4000, Omni International Inc., Kennesaw, GA, USA, 2 times 30 s, 50% intensity), cell debris was separated by centrifugation at 48,000× g for 60 min at 4 C (Beckman J2-21 centrifuge, rotor type JA-20, Beckman Coulter, Krefeld, Germany). The clear supernatant was diluted 1:1 with Buffer A (25 mM Tris, 1 mM EGTA, 2 mM DTT, pH 8.0) and transferred to a HiPrep™ Q XL 16/10 anionic exchange column (GE Healthcare Europe, Freiburg, Germany, column volume: 20 mL, flow rate: 5 mL/min), which was conditioned with the subsequent addition of 100 mL Buffer A, 100 mL Buffer B (1 M NaCl, 25 mM Tris, 1 mM EGTA, 2 mM DTT, pH 8.0) and 140 mL Buffer A again. After sample loading, the column was washed with 100 mL Buffer A, following a stepwise elution of 4 fractions of 60 mL each. The fractions were eluted with different NaCl concentrations in buffer (realized through a mixture of Buffers A and B), which were 150, 300, 450 and 600 mM each. The 450 mM NaCl fraction contained the cPLA and was concentrated through a centrifugal filter with a molecular weight cut-off of 50 kDa (Vivaspin® 20, Sartorius, Göttingen, Germany) at 4000× g (4 C). The resulting volume of 7 mL was incubated for 10 min at room temperature with bromoenol lactone (5 µM final concentration) to permanently inhibit the activity of the calcium-independent PLA isoform. Secreted PLA (sPLA) isoforms have up to eight disulfide bonds essential for their activity. By adding DTT to Buffer A and to the assay buffer, these disulfide bonds get reduced to free thiols, resulting in an activity loss of the sPLA isoforms [1,2,62]. In contrast to the sPLAs, cPLA is only active without disulfide bonds in the reducing environment of the cytosol, which is mimicked by the DTT [62,63]. Other cPLA isoforms are considered negligible, since arachidonyl trifluoromethyl ketone, a specific cPLA inhibitor [64], inhibits arachidonic acid production over 96% in our test system (at a concentration of 200 µM). The protein solution was diluted in Buffer A to liberate about 1 nmol AA in 60 min incubation at 37 C. The enzyme fraction was stored in aliquots at −80 C.

3.3. Incubation Procedure for the cPLA Assay

The incubation procedure and solid phase extraction was executed as described in [61], with some modifications. In short, 2 µL of extract (or dimethyl sulfoxide (DMSO) in the case of the control and blank) were incubated together with 10 µL isolated enzyme (blank: 10 µL buffer) and 88 µL mixed micelle emulsion as a substrate (formed by 200 µM SAPC and 100 µM DOG). After a 60-min incubation time at 37 C, the reaction was stopped by adding 200 µL of acetonitrile/methanol/NaEDTA (16:15:1) containing nordihydroguaiaretic acid (NDGA, 0.6 µg/200 µL) and 4-undecyloxybenzoic acid as the internal standard (156 ng/200 µL). After solid-phase extraction according to [65] with BondElut C18 columns (100 mg sorbent, 3 mL volume; Agilent technologies, Santa Clara, CA, USA), the eluate was diluted 1:1 with water for HPLC analysis. The initial PLA inhibition screening was conducted with 43 methanol extracts (final concentration: 100 µg/mL), once in duplets. To establish dose dependence, the eight most potent inhibitors were tested in different concentrations in duplets in three independent experiments (n = 3). Controls and blanks were carried out in triplets for all experiments.

3.4. HPLC Analysis of AA

For quantification of AA, a Young Lin YL9100 HPLC system (Young Lin Instrument Co. Ltd., Anyang, Korea, quaternary pump, degasser and diode array detector) connected to a Spark Marathon autosampler (Spark Holland, Emmen, The Netherlands) with a 200 µL sample loop was used. Using an isocratic program described in [65] with acetonitrile/water/phosphoric acid (77:23:0.1 v/v/v) as the mobile phase, 200 µL of the prepared sample was injected, and chromatographic separation was carried out with a Nucleosil C18 column (Macherey-Nagel, Düren, Germany, 3 mm inner diameter, 3 µm particle size, 125 mm length). AA and internal standard were detected at a wavelengths of 200 nm and 254 nm, respectively. For quantification of the relative enzyme activity, the AA peak area was set in relation to the internal standard peak area. The control (2 µL DMSO, 10 µL enzyme, 88 µL substrate) was defined as 100% activity, whereas the blank (2 µL DMSO, 10 µL buffer and 88 µL substrate) was defined as 0% activity.

3.5. Quantification of the Phenolic Agents with Folin–Ciocalteu Reagent

This assay was used to quantify the phenolic content of the extracts. It is an adapted method from [66]. From each extract, 20 µL of a dilution in DMSO (1 mg/mL) was transferred in triplets to a 96-well plate. After addition of the Folin–Ciocalteu reagent (100 µL), the mixture was alkalinized with 80 µL of NaCO solution (7.5% (w/v) in HPLC-grade water). For calibration, a dilution series of gallic acid (0 to 1.25 mg/mL) was treated the same way. Subsequently, the 96-well plate was incubated in the dark at room temperature for 60 min, following the measurement of absorption at 750 nm with a plate reader (Tecan Infinite M200 Pro, Tecan Group Ltd., Männedorf, Switzerland). To minimize the influence of inherent absorption from the extracts, the absorption of blanks containing 100 µL water instead of Folin–Ciocalteu reagent were subtracted from the absorptions of the samples. The same was done for the gallic acid standards. Using gallic acid, a calibration curve was established, and the phenolic content of the extracts was calculated using gallic acid equivalents (GAE), quantified as mg of gallic acid per g of extract.

3.6. DPPH Assay

For evaluation of the reducing potential, the DPPH radical scavenging activity was determined. This assay was originally established in [67]. One hundred microliters of diluted extract were transferred to a 96-well plate in duplicates. Subsequently, 100 µL of DPPH solution (0.2 mM in methanol) were added, and incubation took place for 30 min in the dark at room temperature, following the determination of the absorption at 517 nm (Tecan Infinite M200 Pro). Final concentrations of the extracts ranged between 0.3 µg/mL to 5 mg/mL. As a control, 100 µL methanol was mixed with 100 µL of DPPH solution. The inherent absorption of the extracts was measured separately (extract and methanol) and subtracted from each sample’s absorption. Ascorbic acid (0.06 µg/mL to 62.5 µg/mL) served as a standard control. Radical scavenging was calculated with the following formula: with = control (DPPH + methanol) and = sample (DPPH + extract or ascorbic acid, respectively).

3.7. Statistics

For the PLA inhibition screening, errors were calculated with Gaussian error propagation. Standard deviations from the mean values were calculated for the dose-dependent studies and phenolic content. The IC and EC concentrations and their standard errors were calculated with SigmaPlot 11.0 (standard curve analysis with four parameter logistic).

4. Conclusions

In this study, we have provided evidence that polyphenol-rich medicinal plants often exert anti-inflammatory activities, which may be due to an inhibition of cPLA, which has been rather neglected as a relevant target for anti-inflammatory drugs. In another series of experiments, we have tried to identify the active substances in these extracts (Arnold and Wink, in preparation). However, possible synergistic effects from two or more of the ingredients in the extracts should not be left out of consideration [53].
  2 in total

1.  The anti-migraine component of butterbur extracts, isopetasin, desensitizes peptidergic nociceptors by acting on TRPA1 cation channel.

Authors:  Silvia Benemei; Francesco De Logu; Simone Li Puma; Ilaria Maddalena Marone; Elisabetta Coppi; Filippo Ugolini; Wolfgang Liedtke; Federica Pollastro; Giovanni Appendino; Pierangelo Geppetti; Serena Materazzi; Romina Nassini
Journal:  Br J Pharmacol       Date:  2017-07-20       Impact factor: 8.739

2.  A Comparative Analysis of the Anatomy, Phenolic Profile, and Antioxidant Capacity of Tussilago farfara L. Vegetative Organs.

Authors:  Viviane Beatrice Bota; Andreea-Adriana Neamtu; Neli-Kinga Olah; Elisabeta Chișe; Ramona Flavia Burtescu; Flavia Roxana Pripon Furtuna; Alexandru-Sabin Nicula; Carmen Neamtu; Adrian-Marius Maghiar; Lăcrămioara-Carmen Ivănescu; Maria-Magdalena Zamfirache; Endre Mathe; Violeta Turcuș
Journal:  Plants (Basel)       Date:  2022-06-23
  2 in total

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