Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2013 Feb 1.
Published in final edited form as: Phytochemistry. 2011 Nov 29;74:146–158. doi: 10.1016/j.phytochem.2011.10.013

Bauer Ketones 23 and 24 from Echinacea paradoxa var. paradoxa Inhibit Lipopolysaccharide-induced Nitric Oxide, Prostaglandin E2 and Cytokines in RAW 264.7 Mouse Macrophages

Xiaozhu Zhang !,&,#, Ludmila Rizshsky !,$, Catherine Hauck !,#, Luping Qu !,+, Mark P Widrlechner !,%,?,+, Basil J Nikolau !,$, Patricia A Murphy !,#, Diane F Birt !,&,#,*
PMCID: PMC3262908  NIHMSID: NIHMS338212  PMID: 22133644

Abstract

Among the nine Echinacea species, E. purpurea, E. angustifolia and E. pallida, have been widely used to treat the common cold, flu and other infections. In our study, ethanol extracts of these three Echinacea species and E. paradoxa, including its typical variety, E. paradoxa var. paradoxa, were screened in lipopolysaccharide (LPS)-stimulated macrophage cells to assess potential anti-inflammatory activity. Echinacea paradoxa var. paradoxa, rich in polyenes/polyacetylenes, was an especially efficient inhibitor of LPS-induced production of nitric oxide (NO), prostaglandin E2 (PGE2), interleukin-1 beta (IL-1β) and interleukin-6 (IL-6) by 46%, 32%, 53% and 26%, respectively, when tested at 20 μg/ml in comparison to DMSO control. By bioactivity-guided fractionation, pentadeca-8Z-ene-11, 13-diyn-2-one (Bauer ketones 23, compound 1) and pentadeca-8Z, 13Z-dien-11-yn-2-one (Bauer ketone 24, compound 2) from E. paradoxa var. paradoxa were found primarily responsible for inhibitory effects on NO and PGE2 production. Moreover, Bauer ketone 24 (compound 2) was the major contributor to inhibition of inflammatory cytokine production in LPS-induced mouse macrophage cells. These results provide a rationale for exploring the medicinal effects of the Bauer ketone-rich taxon, E. paradoxa var. paradoxa, and confirm the anti-inflammatory properties of Bauer ketones 23 and 24.

Keywords: Echinacea, ethanol extract, fractionation, polyacetylenes, ketoalkenynes, polyenes, ketoalkenes, anti-inflammatory

1. Introduction

Echinacea preparations are among the most widely used dietary supplements and their annual sales gross $120 million in the US (2009). There are two main taxonomic systems for Echinacea: McGregor’s taxonomy (nine species and four varieties, used herein) (McGregor, 1968) and a more recent morphometric analysis-based classification (four species and eight varieties) (Binns, 2002). Three species, E. angustifolia, E. purpurea and E. pallida, are commonly used for the prevention and treatment of upper respiratory tract infections, such as the common cold and influenza, in North America and Europe.

The efficacy of Echinacea for the treatment of the common cold, such as shortening duration and alleviating symptoms, has been observed in some clinical trials, but no clear evidence has demonstrated prevention of colds (Linde et al., 2006). However, the heterogeneity of clinical studies, in experimental design, Echinacea preparations used, and outcomes measured, has led to conflicting results (Linde et al., 2006). Moreover, the lack of information regarding the chemical composition of Echinacea preparations in many past published studies has made their outcomes difficult to interpret and compare.

There is a large body of evidence, based on cell culture and animal studies, demonstrating that Echinacea extracts possess immunomodulatory, anti-inflammatory, antiviral, antioxidant and antimicrobial properties (Barnes et al., 2005). It has been reported that polysaccharides, cichoric acid and alkamides might contribute to immunological activity via enhancing cytokine production and phagocytic activity of macrophages (Goel et al., 2002; Stimpel et al., 1984). The antiviral effects of Echinacea have been attributed to glycoproteins and cichoric acid (Barnes et al., 2005; Bodinet, 1991). Anti-inflammatory activity has been observed with a polysaccharide fraction and with polyunsaturated alkamides from E. angustifolia roots, and echinacoside, alkamides and polyenes/polyacetylenes from E. pallida (LaLone et al., 2007; LaLone et al., 2009; Tubaro et al., 1987). In addition, polyenes and polyacetylenes from E. pallida roots have also been reported to induce apoptosis of tumor cells (Chicca et al., 2008).

In this research, we focused on the anti-inflammatory activity of Echinacea species by using LPS-stimulated RAW264.7 mouse macrophage cells as our research model. PGE2, NO and inflammatory cytokines, secreted by RAW264.7 macrophages under stimulation with LPS, are critical endpoints to evaluate the activation of macrophages and the magnitude of inflammatory responses. Two goals were addressed in our studies: 1) to compare the effectiveness of ethanol extracts from the roots of various Echinacea species on the production of PGE2, NO and inflammatory cytokines from LPS-stimulated RAW 264.7 macrophages; and 2) to identify the constituents responsible for any observed bioactivity of these Echinacea ethanol extracts, and assess the effects of identified compounds on expression of cyclooxygenase-2 (COX-2) and inducible nitric oxide synthase (iNOS), the key enzymes to regulate production of PGE2 and NO, respectively. All compounds mentioned throughout the text were numbered and shown in Figure 1.

Figure 1. Names and structures of compounds 1–11.

Figure 1

Figure 1

2. Results and Discussion

2.1. Inhibition of NO, PGE2 and Inflammatory Cytokines Production by Echinacea Species/Accessions

To assess the anti-inflammatory effects of selected Echinacea species and accessions, six accessions from four Echinacea species (Table 1) were screened for their ability to inhibit LPS-induced inflammatory response in RAW 264.7 macrophages. For all endpoints (NO, PGE2, IL-6, IL-1β and TNF-α), the extracts were tested at a normalized concentration of 20 μg/ml to compare anti-inflammatory activity. All the treatments with Echinacea extracts were compared to the DMSO vehicle control treatment with or without LPS induction in RAW264.7 cells. Cytotoxicity screening showed no cytotoxicity with any of these extracts at the screened concentrations (data not shown).

Table 1.

Provenances and vouchers of Echinacea accessions evaluateda

Taxon Accession Number Provenance Herbarium Voucher
E. angustifolia Ames 24996 Burleigh Co., North Dakota M.P. Widrlechner, 26 Jun 2009
E. pallida Ames 28968 Synthetic populations from Central Iowa M.P. Widrlechner, 2 Jul 2009
E. pallida PI 631274 Creek Co., Oklahoma M.P. Widrlechner, 2 Jul 2009
E. paradoxa Ames 27724 Laclede Co., Missouri J. McCoy, 19 Oct 2004
E. paradoxa var. paradoxa PI 631292 Stone Co., Arkansas M.P. Widrlechner, 2 Jul 2009
E. purpurea Ames 27468 Madison Co., Ohio M.P. Widrlechner, 26 Jun 2009
a

All vouchers are deposited at ISC (Ada Hayden Herbarium, Iowa State University, Ames, Iowa).

As shown in Table 2, all six Echinacea ethanol extracts significantly reduced NO production in LPS-stimulated RAW264.7 cells. Two accessions of E. paradoxa showed the highest inhibitory activity with reduction of LPS-induced NO levels by 39% and 46% when compared to their corresponding controls. LPS-induced PGE2 levels were significantly inhibited by ethanol extracts from E. purpurea, E. pallida Ames 28968, and E. paradoxa var. paradoxa. LPS-induced IL-1β and IL-6 levels were inhibited by E. paradoxa var. paradoxa ethanol extract most potently and by E. pallida PI 631274 to a lesser extent. A slight decline in TNF-α production was observed in LPS-induced RAW264.7 cells treated with E. purpurea, E. paradoxa and both accessions of E. pallida. In the absence of LPS, all Echinacea ethanol extract treatments of RAW264.7 cells stimulated TNF-α level, but levels of IL-1β and IL-6 production were undetectable (data not shown). It has also been observed that Echinacea purpurea ethanol extract stimulated cytokine production in uninfected epithelial cells but inhibited cytokine production in rhinovirus-infected epithelial cells (Sharma et al., 2006). This reveals the complexity of Echinacea constituents: selected compounds might exhibit immunostimulatory properties, which could be overwhelmed by the anti-inflammatory activity of some other compounds in the course of LPS or virus infection. As expected, quercetin (compound 3) significantly inhibited LPS-stimulated NO, PGE2, IL-1β and IL-6 levels at 10 μM, which was consistently observed among all the experiments.

Table 2.

Effects of Echinacea Ethanol Extracts on Production of Inflammatory Mediators in RAW264.7 Cells

Treatmentsa Endpoints b
NO PGE2 IL-1β IL-6 TNF-α TNF-α
(% of DMSO+LPS control)c (% of DMSO)d

E. angustifolia (Ames 24996) 103±5 77±4 90±4 104±3 101±4 195±23
E. pallida (Ames 28968) 69±8 80±1 82±3 83±3 87±4 171±16
E. pallida (PI 631274) 77±2 62±2 72±2 81±2 88±4 143±12
E. paradoxa (Ames 27724) 61±1 87±6 80±8 80±2 89±1 227±44
E. paradoxa var. paradoxa (PI 631292) 54±5 68±2 47±3 74±5 95±3 199±24
E. purpurea (Ames 27468) 77±4 68±4 87±2 92±3 93±3 352±33
Quercetin (Compound 3) 37±3 22±9 26±5 66±5 103±2 72±3
a

RAW264.7 cells were treated with six Echinacea ethanol extracts at 20 μg/ml, DMSO control and 10 μM of quercetin, respectively, with or without 1 μg/ml LPS. Quercetin was included as a positive control, inhibiting LPS-induced NO and PGE2 production significantly.

b

The levels of inflammatory mediators were detected after 8 h (PGE2) or 24 h (NO, IL-1β, IL-6 and TNF-α) treatment.

c

The (Media+DMSO+LPS) control group was standardized at 100% of production of NO (10.9±0.7 μM), PGE2 (3.38±0.20 ng/ml), IL-1β (140.5±14.3 pg/ml), IL-6 (23.1±1.0 ng/ml) and TNF-α (30.8±1.2 ng/ml). Data were expressed as % of the (Media+DMSO+LPS) control ± s.e. (N=3). Bold and italics mean significant difference (bold p ≤ 0.05 and italics p ≤ 0.001) from the (Media+DMSO+LPS) control group.

d

The (Media+DMSO) control group was normalized to 100% of TNF-α production (0.18±0.02 ng/ml). Data were expressed as % of the (Media+DMSO) control ± s.e. (N=3). Treatments without LPS revealed no change in the other endpoints compared to (Media+DMSO) controls (data not shown).

2.2. Inhibition of NO, PGE2, and Inflammatory Cytokines Production by Fractions from E. paradoxa var. paradoxa Extracts

Considering the very potent inhibition of LPS-induced NO, PGE2, IL-1β and IL-6 by the ethanol extract of E. paradoxa var. paradoxa, we then fractionated the ethanol extract of accession PI 631292 by semi-preparative HPLC (Table 3) and screened individual fractions for anti-inflammatory activity. The concentrations of fractions 1–6 screened for cytotoxicity on RAW264.7 cells were tested at the highest concentrations obtained from fractionation (Table 4). Fraction 3 at 101 μg/ml and fraction 6 at 187 μg/ml significantly decreased cell viability. No cytotoxicity was detected with fractions 3 and 6 at 50 μg/ml or for any other fractions at the highest concentrations tested.

Table 3.

A) Solvent Gradient for Fractionation of E. paradoxa var. paradoxa Ethanol Extract
Time(min) 0–13 13–14 14–21 21–66 66–69 69–73 73–75 75–80
Solvent Aa (%) 90-80 80-60 60 60-20 20-0 0 0-90 90
Solvent Bb (%) 10–20 20–40 40 40–80 80–100 100 100-10 10
B) Elution Time Periods for Fraction Collection
Fractions 1 2 3 4 5 6
Elution Time (min) 5–11 11–29 29–51 51–60 60–67 67–80
Concentration (mg/ml) 184 75 101 3.2 36 187
a

Solvent A: 0.1% acetic acid in endotoxin-free water

b

Solvent B: acetonitrile

Table 4.

Cytotoxicity of 6 Fractions from Echinacea paradoxa var. paradoxa a

Fractions Yield (mg) Concentrationb (μg/ml) Viability (% of DMSO control ± s.e., p value) Diluted Concentration (μg/ml) Viability (% of DMSO control ± s.e., p value)
1 920 184 93 ± 7 (0.262) - -
2 93 75 90 ± 3 (0.1338) - -
3 25.2 101 68 ± 3 (<0.0001) 50 108 ± 9 (0.3911)
4 0.8 3.2 89 ± 8 (0.0764) - -
5 36 36 104 ± 3 (0.5964) - -
6 70 187 55 ± 3 (<0.0001) 50 121 ± 3 (0.0046)
a

The viability of each fraction was denoted as % of DMSO control ± s.e. (N=3). The number in brackets represents the p-value for comparison of fraction treatment groups to the DMSO control group. Boldface p value refers to significant difference (p<0.05).

b

The tested concentrations of each fraction were the highest concentrations obtained from the fractionation. They were also used in the NO, PGE2 and inflammatory cytokine screening (Figure 1A, Table 5).

Fractions 3, 4, 5 and 6 at the highest concentrations tested dramatically reduced NO and PGE2 production (Figure 2A). The observed cytotoxicity of fractions 3 and 6 at the concentrations studied may have partially contributed to reduction of NO and PGE2.

Figure 2. Inhibition of NO and PGE2 production by the fractions from a 2009 extract of Echinacea paradoxa var. paradoxa (PI 631292) in LPS stimulated RAW264.7 cells.

Figure 2

Panel A: production of NO and PGE2 after treatment with 6 fractions at their highest concentrations obtained. Panel B: production of NO and PGE2 after treatment of fractions 3, 5, and 6 at three doses up to the highest dose obtained or the dose shown to be non-toxic (Table 3). The data were expressed as % of (Media+DMSO+LPS) control ± s.e. (N=3), and the (Media+DMSO+LPS) control group was set at 100% of NO production (15.5 μM±0.4 in panel A and 18.9±1.7 μM in panel B) and PGE2 production (2.8±0.2 ng/ml in panel A and 3.3±0.1 ng/ml in panel B). Asterisks reflect significant differences (* p < 0.05 and ** p < 0.001) from the (Media+DMSO+LPS) control group. Treatments without LPS revealed no change compared to (Media+DMSO) controls (data not shown).

The activities of fractions 3–6 were compared at non-toxic doses (Figure 2B). By comparing the effects on NO and PGE2 production caused by these four fractions at 3.2 μg/ml, fractions 4 and 5 had the greatest inhibitory ability on PGE2, and fraction 4 most potently inhibited NO. Fraction 5 inhibited NO and PGE2 levels to a greater extent than did fractions 3 or 6 when all were tested at 20 μg/ml. The inhibition of PGE2 levels by fractions 3, 5 and 6 and the inhibition of NO levels by fractions 3 and 5 all showed a dose-dependent pattern.

The effects of fractions 1–6 on LPS-induced inflammatory cytokines were also examined. LPS-stimulated IL-1β and IL-6 levels were significantly reduced by fractions 3, 4, 5 and 6 at their highest concentrations (Table 5). When the tested concentrations of fractions 3, 5 and 6 were normalized to the non-cytotoxic dose of 20 μg/ml, fraction 5 showed the greatest inhibition of IL-1β and IL-6 induction. LPS induction of TNF-α was significantly alleviated by fractions 4, 5 and 6 at highest doses, but not at 20 μg/ml. When RAW264.7 cells were treated with fractions 1–6 at the highest concentrations without LPS stimulation, different trends were observed (Table 5). Fractions 3 and 5 reduced baseline TNF-α production by 44% and 36%, respectively, whereas fraction 6 induced TNF-α levels 2.4× above those observed with the DMSO control. When the fractions were diluted to 20 μg/ml, only fraction 5 inhibited TNF-α levels (by 24%).

Table 5.

Effects of Fractions from Echinacea paradoxa var. paradoxa on Inflammatory Cytokine Production in RAW264.7 Cells

Treatments Endpoints
Fractions Con. (μg/ml) IL-1β IL-6 TNF-α TNF-α
(% of DMSO+LPS control)a (% of DMSO)b
1 184 89±7 88±3 94±1 110±6
2 75 73±7 86±3 99±3 104±2
3 101 31±2 39±4 90±1 56±4
20 59±4 89±1 97±4 98±9
4 3.2 57±3 51±2 85±4 81±7
5 36 11±2 42±1 78±4 64±8
20 21±3 59±3 89±1 76±5
6 187 2±1 50±3 43±6 236±10
20 55±3 74±4 95±4 87±12
Quercetin (Compound 3) 10μM 10±2 53±1 107±7 81±17
a

The levels of IL-1β, IL-6 and TNF-α after treatment with Echinacea paradoxa var. paradoxa fractions at the highest concentrations and 20μg/ml for fractions 3, 5 and 6 were compared to those of the (Media+DMSO+LPS) control group in 1 μg/ml LPS induced RAW264.7 cells. Data were expressed as mean ± s.e. (N=3). IL-1β production, IL-6 production and TNF-α production of the (Media+DMSO+LPS) control group were 143.6±14.5 pg/ml, 27.1±0.9 ng/ml and 39.8±2.3 ng/ml, respectively. Bold and italics represent significant differences (bold p < 0.05 and italics p < 0.001) from the (Media+DMSO+LPS) control group.

b

The levels of TNF-α with the above-mentioned treatment groups were compared to that of the (Media+DMSO) control group (0.41±0.02 ng/ml) in RAW264.7 cells without LPS addition. Treatments without LPS revealed no change in the other endpoints compared to (Media+DMSO) controls (data not shown).

Although fraction 4 at 3.2 μg/ml and fraction 5 at 36 μg/ml similarly suppressed the production of inflammatory mediators, fraction 5 contributed more to extract activity, since the concentration of fraction 5 proportional to yield (144 μg/ml) was much higher than the amount tested (36 μg/ml) and fraction 5 exhibited a dose-dependent activity.

2.3. Effects of Combined Fractions 4 and 5 of E. paradoxa var. paradoxa on NO and PGE2 Inhibition

Since the most potent anti-inflammatory activities were observed with fractions 4 and 5, we combined them to examine their joint effect on LPS-induced NO and PGE2 production. When fractions 4 and 5 at the highest concentrations were applied in the RAW264.7 cells with LPS stimulation alone and together, the combined fractions demonstrated synergistic inhibition of NO production, as indicated in Figure 3A. In parallel studies of LPS-induced PGE2, it was necessary to dilute fraction 5 to 3.2 μg/ml because fraction 5 alone reduced LPS induced PGE2 by 96% (±1%). Fraction 4 at 1.6 μg/ml and fraction 5 at 3.2 μg/ml each resulted in a moderate reduction of PGE2, and, when combined, these fractions resulted in greater inhibition of PGE2 (Figure 3B).

Figure 3. Synergistic inhibition of NO (panel A) and additive inhibition of PGE2 (panel B) production by fractions 4 and 5 from Echinacea paradoxa var. paradoxa in LPS-stimulated RAW264.7 cells.

Figure 3

RAW264.7 cells were treated with combined or individual fraction 4 and fraction 5 at indicated concentrations, with 1 μg/ml LPS. Data were expressed as % of the (Media+DMSO+LPS) control ± s.e. (N=3), and the (Media+DMSO+LPS) control group was set at 100% of NO production (14.8±0.7 μM) and PGE2 (2.2±0.4 ng/ml) production. Asterisks reflect significant differences (** p < 0.001) from the (Media+DMSO+LPS) treatment group. Treatments without LPS revealed no change compared to (Media+DMSO) controls (data not shown).

The effects of combined fractions 4 (1.6 μg/ml) and 5 (3.2 μg/ml) on LPS induced IL-1β, IL-6 and TNF-α levels at 8 h were also determined (data not shown). Combined fractions significantly inhibited IL-6 to a greater extent than did the individual fractions, showing a synergistic effect. However, LPS-stimulated TNF-α level was not altered by fraction 4 or/and fraction 5 at 8 h. IL-1β was not elevated in LPS treated macrophages at 8 h.

2.4. GC-MS Analysis of Active Fractions of E. paradoxa var. paradoxa Ethanol Extract

GC-MS was employed to identify the constituents in the active fractions 3–6. As indicated in Figure 4, Bauer ketones 20 (compound 4) and 21 (compound 5) were identified in fraction 3. Three classes of compounds were identified in fraction 4: 1) polyacetylenes and polyenes, including alkamide 2 (compound 6), alkamide Chen 1 (compound 7) and Bauer ketone 21 (compound 5); 2) polyunsaturated fatty acids, including linoleic acid (compound 8) and α-linolenic acid (compound 9); and 3) carbohydrates. Fraction 5 was rich in Bauer ketones 22 (compound 10), 23 (compound 1) and 24 (compound 2), which comprised 96% of total dry wt. Bauer ketones 23 (compound 1) and 24 (compound 2) were also found in fraction 6. There were also unidentified peaks in each fraction.

Figure 4. GC-MS analysis of bioactive fractions from E. paradoxa var. paradoxa.

Figure 4

Total ion chromatograms of fractions 3, 4, 5 and 6 are displayed. Peaks were identified by comparing their retention time and mass spectra to authentic standards.

Alkamide 2 and Chen alkamide 1 (compounds 6, 7) identified in fraction 4 have been reported to inhibit PGE2 production significantly at 50 μM (LaLone et al., 2007). However, alkamide 2 or Chen alkamide 1 (compounds 6, 7) could not account for the activity of fraction 4, since neither of them reached 20 μM in fraction 4 at 3.2 μg/ml. Two essential unsaturated fatty acids, linoleic acid and α-linolenic acid (ALA) (compounds 8, 9), were also identified in the fraction 4. ALA (compound 9), an ω-3 PUFA found mainly in plants, was reported to have anti-inflammatory activity in the animal model (carrageenan-induced paw edema in rats) (Ren et al., 2007). In the RAW264.7 cell model, ALA (compound 9) was found to inhibit LPS-induced NO and PGE2 production, and protein and mRNA expression levels of the iNOS and COX-2 enzymes (Ren et al., 2007). However, further fractionation of fraction 4 did not yield any potent subfraction, indicating that constituent interactions might be responsible for the majority of its activity.

2.5. Dose-dependent Activity of Bauer Ketones Identified in Fraction 5 of E. paradoxa var. paradoxa

Due to its promising anti-inflammatory activities and relatively simple chemical profile, the components in fraction 5 were further quantified by GC-MS (Table 6). Fraction 5 (3.2 μg/ml) by dry wt was composed of 3.1 μM Bauer ketone 22 (compound 10), 1.6 μM Bauer ketone 23 (compound 1) and 9.7 μM Bauer ketone 24 (compound 2).

Table 6.

Quantitation of Bauer Ketones in Fraction 5 a

Nomenclature Structure Concentration (μM in 3.2 μg/ml of F5)
Tetradeca-8Z-ene- 11,13-diyn-2-one (Bauer Ketone 22, compound 10) graphic file with name nihms338212t1.jpg 3.1
Pentadeca-8Z-ene- 11,13-diyn-2-one (Bauer Ketone 23, compound 1) graphic file with name nihms338212t2.jpg 1.6
Pentadeca-8Z,13Z- dien-11-yn-2-one (Bauer Ketone 24, compound 2) graphic file with name nihms338212t3.jpg 9.7
a

Compounds were identified according to retention times and mass spectra from GC-MS. Synthesized Bauer ketones 22–24 were used as internal standards to quantify compounds in fraction 5.

To investigate the bioactivity of Bauer ketones, three doses of Bauer ketones 22, 23 and 24 (compounds 10, 1, 2) were applied in RAW 264.7 cells with or without LPS induction, as described in the Materials and Methods. As indicated in Figure 5A, all three doses of Bauer ketone 24 (compound 2) significantly decreased LPS-induced NO production with a dose-dependent relationship. Bauer ketone 23 (compound 1) significantly inhibited NO induction at 10 μM and 5 μM, and Bauer ketone 22 (compound 10) resulted in a moderate decrease of NO level at 10 μM. Dose-dependent inhibition of LPS-induced PGE2 production was observed with Bauer ketones 22, 23 and 24 (compounds 10, 1, 2) (Figure 5A). All three doses of Bauer ketone 23 (compound 1) significantly reduced PGE2 levels, but Bauer ketones 22 and 24 (compounds 10, 2) did not affect PGE2 levels significantly at 1.6 μM.

Figure 5. Inhibition of NO and PGE2 production by combined or individual synthetic Bauer ketones in LPS-stimulated RAW 264.7 cells.

Figure 5

Panel A: dose-dependent inhibition of NO and PGE2 production by synthetic Bauer ketones 22, 23 and 24 (compounds 10, 1, 2). Panel B: NO and PGE2 levels after treatment with combined or individual synthetic Bauer ketones at the concentrations present in fraction 5 (Table 6). The highest and lowest doses were set at the concentrations of ketone 24 (compound 2, 9.7 μM, rounded to 10 μM) and 23 (compound 1, 1.6 μM) present in 3.2 μg/ml of Fraction 5. Data were expressed as % of the (Media+DMSO+LPS) control ± s.e. (N=3), and the (Media+DMSO+LPS) control group was normalized at 100% of NO production (11.4±0.8 μM in panel A, 23.2±4.6 μM in panel B) and PGE2 production (2.6±0.2 ng/ml in panel A, 2.2±0.3 ng/ml in panel B). Asterisks reflect significant differences (* p < 0.05 and ** p < 0.001) from the (Media+DMSO+LPS) treatment group. Values labeled with different letters demonstrate a significant difference (p < 0.05) between them. Values with both a and b have significant difference from values with c only. Treatments without LPS revealed no change compared to (Media+DMSO) controls (data not shown).

2.6. Contribution of Bauer Ketones in Fraction 5 of E. paradoxa var. paradoxa to Inhibition of NO, PGE2 and Inflammatory Cytokine Production

To determine the degree to which Bauer ketones 22, 23 and 24 (compounds 10, 1, 2) at concentrations found in fraction 5 contributed to the anti-inflammatory activity we observed when that fraction was tested at 3.2 μg/ml, we examined the effects of individual or combined synthesized Bauer ketones on LPS-stimulated NO, PGE2 and pro-inflammatory cytokine production. As shown in Figure 5B, when compared to (Media+DMSO+LPS) control, all treatments with Bauer ketone 24 (compound 2), including Bauer ketones 22+23+24 (compounds 10+1+2), Bauer ketones 22+24 (compounds 10+2), Bauer ketones 23+24 (compounds 1+2), and Bauer ketone 24 (compound 2) alone, decreased LPS-induced NO production significantly. Bauer ketone 22 (compound 10) did not exert any effect on NO levels. Multiple comparison with Tukey adjustment was employed to compare among the effects we observed from combined and individual Bauer ketones and from fraction 5 at 3.2 μg/ml. Despite the lack of an effect by Bauer ketone 23 (compound 1) alone, Bauer ketones 23+24 (compounds 1+2) did inhibit NO production to a greater extent than did Bauer ketone 24 (compound 2) alone, which suggested that the interaction of Bauer ketones 23 and 24 (compounds 1, 2) could result in stronger inhibition of LPS-induced NO production. A similar relationship was found between Bauer ketones 22+23+24 (compounds 10+1+2) and Bauer ketones 22+24 (compounds 10+2). Although Bauer ketones have inhibitory properties at concentrations present in fraction 5 at 3.2 μg/ml, fraction 5 itself did not exhibit any effect on NO induction at 3.2 μg/ml. This suggests that minor constituents might counteract Bauer ketones, thus weakening the anti-inflammatory potential of fraction 5. Moreover, fraction 5 at 20 μg/ml and Bauer ketones 23+24 (compounds 1+2) reduced LPS-stimulated NO production to the same extent.

LPS-stimulated PGE2 production was dramatically reduced by all treatments with Bauer ketones (p < 0.001), except for the treatment with Bauer ketone 22 (compound 10) alone. Multiple comparison demonstrated that reduction of PGE2 by Bauer ketones 23+24 (compounds 1+2) was significantly greater than that by individual Bauer ketones 23 (compound 1) or 24 (compound 2). Addition of Bauer ketone 22 (compound 10) did not affect the degree of inhibition caused by Bauer ketones 23 or/and 24 (compound 1, 2). No significant difference was found between reduction of PGE2 by fraction 5 and that by Bauer ketones 23 and/or 24 (compounds 1, 2). This indicated that Bauer ketones 23 and 24 (compounds 1, 2) contributed to PGE2 inhibition by fraction 5 at 3.2 μg/ml.

Synthesized Bauer ketones also exerted inhibitory effects on LPS-induced IL-1β and IL-6 production. As shown in Figure 6A, all the treatments containing Bauer ketone 24 (compound 2) dramatically inhibited IL-1β induction compared to (Media+DMSO+LPS) control. Figure 6B illustrates a moderate decrease of IL-6 induction by all treatments containing Bauer ketone 24 (compound 2) compared to (Media+DMSO+LPS) control. LPS-induced TNF-α production level was not changed by any treatments with Bauer ketones or fraction 5 (Figure 6C). No cytotoxicity was found with Bauer ketones at the screened concentrations.

Figure 6. Effects of combined or individual Bauer ketones at the concentrations present in fraction 5 (Table 6) on inflammatory cytokine production in LPS-stimulated RAW264.7 cells.

Figure 6

Figure 6

The levels of IL-1β (panel A), IL-6 (panel B) and TNF-α (panel C) after treatment with combined or individual Bauer ketones were compared to those of the (Media+DMSO+LPS) control group in 1 μg/ml LPS-induced RAW264.7 cells. Data were expressed as mean ± s.e. (N=3). Asterisks reflect significant differences (* p < 0.05 and ** p < 0.001) from the (Media+DMSO+LPS) control group. Values labeled with different letters demonstrate a significant difference (p < 0.05) between them. Values with two letters, i.e. cd, are not significantly different from values with either of these letters. Treatments without LPS revealed no change compared to (Media+DMSO) controls (data not shown).

In summary, our results indicate that a combination of Bauer ketones 23 and 24 (compounds 1, 2) had the greatest potential to inhibit NO and PGE2 production, and Bauer ketone 24 (compound 2) accounted for the inhibition of IL-1β and IL-6 by fraction 5. Bauer ketone 22 (compound 10) at 3.1 μM did not exert any effects on production of the tested endpoints. Some other minor constituents might have antagonistic effects which comprised the activity of Bauer ketones 23 and 24 (compounds 1, 2) as demonstrated by NO and IL-1β screening. Results of testing three doses of Bauer ketones suggested that Bauer ketone 24 (compound 2) was more effective in suppressing NO production and Bauer ketone 23 (compound 1) was more effective for PGE2 inhibition. Although three Bauer ketones all exhibited anti-inflammatory potential to different extent, only Bauer ketones 23 and 24 (compounds 1, 2) contributed to the activity of fraction 5 considering their concentrations in the fraction 5 at 3.2 μg/ml. Combination of Bauer ketones at different ratios might lead to different level of inhibition.

Binns et al. (Binns et al., 2002) indicated that Bauer ketones were important chemotaxonomic markers based on the lipophilic phytochemical profiles of various Echinacea species. Echinacea paradoxa and E. pallida exhibited similar pattern of ketoalkenynes, including Bauer ketones 22, 23, 24 and 25 (compounds 10, 1, 2, 11), but contained alkamides at low concentrations (Bauer and Foster, 1991; Bauer et al., 1988). In contrast, the roots of E. purpurea and E. angustifolia were mainly characterized by the presence of alkamides (Bauer and Remiger, 1989).

Limited research has been conducted on the bioactivity of Bauer ketones. Our work demonstrates that E. paradoxa var. paradoxa, which is also rich in Bauer ketones, could partly attribute its anti-inflammatory activity (inhibitory ability on NO, PGE2, IL-1β and IL-6 production) to Bauer ketones 23 and 24 (compounds 1, 2). Prior results from our laboratory (LaLone et al., 2009; LaLone et al., 2010) reported the inhibition of PGE2 and NO production by these ketones at concentrations found in E. pallida and E. Angustifolia, and the results in the present report with concentrations of Bauer ketones 23 and 24 (compounds 1, 2) that were found in E. paradoxa var. paradoxa were in agreement with the earlier results. Apart from its anti-inflammatory activity, Bauer ketone 24 (compound 2) from E. pallida has also been reported to inhibit the growth of human cancer cell lines possibly by arresting the cell cycle in the G1 phase and promoting apoptotic cell death (Chicca et al., 2010). Bauer ketone 24 (compound 2) is evidently permeable above 10 × 10−6cms−1 across the Caco-2 monolayer, suggesting potential oral bioavailability (Chicca et al., 2008). Therefore, Bauer ketone 24 (compound 2) might be a promising candidate as an anti-inflammatory and anti-tumor agent. However, further investigation is necessary to confirm this in appropriate animal models.

2.7. Effects of Bauer Ketones on the Expression Levels of COX-2 and iNOS

COX and iNOS are the critical enzymes catalyzing the committed step in the production of PGE2 (Bakhle and Botting, 1996) and NO (MacMicking et al., 1997), respectively. COX-1 is constitutively expressed in various cells and tissues, but COX-2 is an inducible form in response to LPS or cytokines (Bakhle and Botting, 1996). To examine whether Bauer ketones 23 and 24 (compounds 1, 2) inhibit PGE2 and NO levels through regulation of COX-2 and iNOS protein expression, RAW 264.7 cells were treated with Bauer ketones at the concentrations present in 3.2 μg/ml of fraction 5 to measure levels of COX-2 and iNOS by using Western blot, as described in the Materials and Methods.

As shown in Figure 7, 1 μg/ml LPS induced the expression of COX-2 and iNOS, and COX-1 to a lesser extent. All the treatments did not alter the expression levels of COX-1 induced by LPS. Bauer ketone 24 (compound 2) increased the expression of COX-2 significantly compared to DMSO control in LPS-induced macrophages, whereas only a trend towards increased COX-2 was observed with Bauer ketone 23 (compound 1). The combined Bauer ketones were more effective than were individual Bauer ketones, with a 2-fold increase in COX-2 levels in relation to (Media+DMSO+LPS) control. LaLone et al. (2010) reported that Bauer ketone 23 (compound 1) identified in an E. angustifolia extract had the capacity to increase COX-2 expression significantly at 5 μM in LPS-stimulated macrophages. In contrast, Bauer ketone 23 (compound 1) inhibited LPS-induced COX-2 activity at 0.83 μM (LaLone et al., 2010). Therefore, we speculate that Bauer ketones 23 and 24 (compounds 1, 2) might reduce the activity of COX-2 enzyme rather than decrease COX-2 expression at translational levels, and consequently inhibit PGE2 production in LPS-stimulated macrophages. However, the mechanism underlying an increase in the amount of COX-2 protein is unclear.

Figure 7. Effects of combined or individual Bauer ketones on LPS-induced COX-2, COX-1 and iNOS protein levels in RAW264.7 cells.

Figure 7

Treatments of controls, Bauer ketones or fraction 5 were applied to RAW264.7 cells with LPS induction. (Media+DMSO) without LPS addition was used as a negative control. Panel A represents one replicate of protein (COX-2, COX-1 or iNOS) bands identified by Western blot. Bands were quantified with a densitometer, and results were shown in panel B as percentage of the (Media+DMSO+LPS) control ± s.e. (N=3 or 4). Asterisks reflect significant differences (* p < 0.05 and ** p < 0.001) from the (Media+DMSO+LPS) control group. Alpha-Tubulin, as a loading control, was constitutively expressed among all treatments (data not shown).

Although inhibition of iNOS expression has been found with alkamides (Hou et al., 2010), neither Bauer ketones nor fraction 5 from E. paradoxa affected LPS-induced iNOS expression. This indicates that the inhibition of NO production by Bauer ketones 23+24 (compounds 1+2) cannot be attributed to iNOS regulation at the protein level. Alpha-Tubulin, as a loading control, was constitutively expressed among all treatments (data not shown).

3. Conclusions

Echinacea species, especially the extensively studied E. purpurea, have been found to inhibit inflammatory mediators in different cell model systems (Canlas et al., 2010; Sharma et al., 2010). Our experiments demonstrate that 1) E. paradoxa var. paradoxa (PI 631292) has more potent anti-inflammatory activity as measured by inflammatory mediators including NO, PGE2, IL-1β and IL-6 in RAW 264.7 cells than do the three most common medicinal species of Echinacea (Table 4); 2) Bauer ketones from E. paradoxa var. paradoxa played an important role in the inhibition of inflammatory mediator production in LPS-stimulated RAW264.7 cells. Bauer ketones 23 and 24 (compounds 1, 2) were identified as key constituents contributing to NO and PGE2 inhibition by E. paradoxa var. paradoxa. Moreover, Bauer ketone 24 (compound 2) at the concentration found in fraction 5 was capable of significantly inhibiting IL-1β and IL-6 secretion.

The potent anti-inflammatory activity we found in E. paradoxa var. paradoxa suggests that it may be promising for medicinal use. If so, its cultivation should be encouraged, as its native populations are limited and could be threatened by wild harvesting (Kindscher, 2006). Furthermore, our identification of the key contributors, Bauer ketones 23 and 24 (compounds 1, 2), from E. paradoxa var. paradoxa by bioactivity-guided fractionation suggests their potential as anti-inflammatory agents per se. We hope that these findings on the identification of active constituents in Echinacea species may help to guide the development of Echinacea preparations with improved efficacy as botanical dietary supplements.

4. Experimental

4.1. General experimental procedures

A semipreparative HPLC system was used for fractionation, which consisted of a model 508 autosampler, a YMC-pack ODS-AM 250×10 mm C18 column (YMC, Kyoto, Japan), a Beckman-Coulter System Gold with a 126 solvent module and a model 168 detector (Beckman Coulter, Fullerton, CA). GC-MS analysis was performed by using an Agilent Technologies gas chromatograph (6890 series), equipped with a capillary column (HP-5MS fused silica column coated with 5% diphenyl 95% dimethyl polysiloxane, 30 m, 250 μm bore, 0.25 μm film thickness) and a model 5973 mass spectrometer as detector (all from Agilent Technologies, Palo Alto, CA). DMEM, fetal bovine serum, sodium bicarbonate and penicillin/streptomycin were purchased from Invitrogen (Carlsbad, CA). DMSO, quercetin (compound 3) and ursolic acid were purchased from Sigma-Aldrich (St. Louis, MO). CellTiter 96® AQueous One solution Reagent and Griess reaction kit were from Promega (Madison, WI). Biotrek PGE2 enzyme immunoassay system (GE Healthcare, Piscataway, NJ) and BD OptEIATM ELISA sets (BD Biosciences, San Diego, CA) were used for bioactivity assays. BCA Protein Assay Reagent was purchased from Pierce (Rockford, IL) and antibodies used in the Western blot were from Santa Cruz Biotechnology (Santa Cruz, CA).

4.2. Plant materials

Plant materials were obtained from the U.S. Department of Agriculture North Central Regional Plant Introduction Station (NCRPIS), Ames, IA. Accessions of Echinacea samples used in this study (Table 1) included: E. angustifolia (Ames 24996), E. pallida (Ames 28968), E. pallida (PI 631274), E. paradoxa (Ames 27724), E. paradoxa var. paradoxa (PI 631292) and E. purpurea (Ames 27468). More detailed information about the original sources and availability of these accessions can be found in the Germplasm Resources Information Network (GRIN) database at http://www.ars-grin.gov/npgs/acc/acc_queries.html. Roots of these plants, harvested at the NCRPIS in November 2009, were dried for 8 days at 40 oC with constant humidity in a forced-air dryer. The dried materials were ground with a 40-mesh screen in a Wiley mill and then stored at −20 oC under nitrogen prior to extraction.

4.3. Extraction

For each Echinacea accession, 1 g of dried root powder was extracted with 95% ethanol for 6 h by using a Soxhlet extractor. After extraction, the ethanol solvent was removed with a rotary evaporator at 35 oC, followed by lyophilization, yielding the dried samples. The percentage yield of each accession (% of dried root powder) was as follows: Ames 24996 30.5%, Ames 28968 22.9%, PI 631274 16.9%, Ames 27724 20.5%, PI 631292 19.2% and Ames 27468 11.5%. The dried samples were redissolved in the minimal volume of DMSO that ensured complete sample solubilization. The concentrations of the ethanol extracts obtained from each of these accessions were 116, 78, 48, 66, 59 and 21 mg/ml, respectively. None of these extracts showed cytotoxicity in the cell viability assay (described as below), which was consistent with previous work by LaLone et al. (2007). The ethanol extracts of Echinacea species were stored at −20 oC under argon. All extracts were assayed for endotoxin, and levels were undetectable by Lymulus Amebocyte Lysate assay, whose detectable level was above 0.0001 EU/ml (Bio Whittaker, Walkersville, MD).

4.4. Semi-preparative HPLC fractionation

Two g of dried ethanol extract of E. paradoxa var. paradoxa (PI 631292) were dissolved in 42% ethanol (aqueous solution) and then filtered through a 0.45 μm filter. The filtrate was fractionated by using the semi-preparative HPLC system described in 4.1. Fractionation was conducted by using a mobile phase of 0.1% acetic acid in endotoxin-free water (solvent A) and acetonitrile (solvent B). The gradient of solvents A and B throughout the fractionation and the elution time periods for collecting each fraction are shown in Table 2. Fractions dissolved in DMSO were stored at −80 oC under argon to avoid degradation of potentially unstable Bauer ketones. In total, 6 fractions were obtained from the E. paradoxa var. paradoxa ethanol extract, with yields and original concentrations (mg/ml) shown in Table 3.

4.5. GC-MS analysis

The carrier gas for GC-MS analysis was helium, at a flow rate of 1.2 ml/min. Oven temperature was initially 80 oC for 2 min, then was increased to 200 oC at a rate of 10 oC /min and held at 200 oC for 5 min. Injector and detector temperatures were set at 250 oC. The fractions in DMSO were dried with nitrogen gas and then redissolved in acetonitrile. One μl of Echinacea fraction or synthesized standards were injected automatically in splitless mode. Compounds in each fraction were identified by comparing their retention times and mass spectral data with those in the NIST Mass Spectral Library (NIST 08). Pentadeca-8Z-ene-11, 13-diyn-2-one (Bauer ketones 23, compound 1) and pentadeca-8Z, 13Z-dien-11-yn-2-one (Bauer ketone 24, compound 2) were quantified in our fractions on the basis of synthesized Bauer ketones as internal standards. The amount of added standard was adjusted for the small amount of impurities present in the standard preparations. Tetradeca-8Z-ene-11, 13-diyn-2-one (Bauer ketone 22, compound 10) was quantified in relation to Bauer ketone 23 and 24. The standard error for the measurement of all Bauer ketones was 3.22%, based on three measurements of synthesized Bauer ketones.

4.6. Bauer ketone synthesis

Bauer ketones were chemically synthesized following the procedure developed by Kraus et al. (Kraus et al., 2007) and described in detail in the PhD thesis of Jaehoon Bae (Bae, 2006). Based on 1H- and 13C-NMR spectra (Kraus et al., 2007), the percent purity for synthetic Bauer ketones 22, 23 and 24 (compounds 10, 1, 2) was 80%, 90% and 99%, respectively. All synthetic Bauer ketones were stored at −80 oC under argon to avoid degradation.

4.7. Cell culture and treatments

RAW264.7 mouse macrophage cells were purchased from the American Type Culture Collection (ATCC, Manassas, VA) and cultured as previously described (Hammer et al., 2007) except for an adjustment to our incubator to hold cells at 95% relative humidity. The medium for culturing RAW264.7 cells was high glucose DMEM supplemented with 10% FBS, 2% sodium bicarbonate and 1% penicillin/streptomycin.

Prior to treatment, 0.64 × 105 cells/well (for NO and cytokine) or 1 × 105 cells/well (for PGE2) were plated in 24-well tissue-culture plates with 0.5 ml culture medium/well and incubated for 24 h. DMSO vehicle control, a quercetin (compound 3) positive control, and Echinacea extracts, fractions or synthesized compounds were diluted into cell media for a final DMSO concentration of 0.1% v/v, well below the toxic level of DMSO. Diluted samples were applied to cells with/without 1 μg/ml LPS simultaneously. Following treatment for 8 h (for PGE2) or 24 h (for NO and cytokines), supernatants were collected for storage at −80 oC (for PGE2 and cytokines) or for immediate NO measurement. For cell viability assays, 1 × 104 cells/well were plated in 48-well tissue-culture plates with 0.2 ml culture medium/well and incubated for 24 h. Diluted samples including (Media+DMSO) control, Echinacea extracts, fractions, synthesized compounds and ursolic acid controls in cell media were applied to cells without LPS stimulation for 24 h. For all experiments, three individual plates from three corresponding flasks of cells were included as three replicates.

4.8. Cell viability assay

Following 24 h treatment, supernatants were replaced by 200 μl fresh media and 30 μl of CellTiter 96® AQueous One solution Reagent for each well. After incubation for 195 min, 200 μl of supernatant containing dye product was transferred from each well to 96 well plates, followed by reading absorbance at 562 nm. There were three repeated treatments within each plate. Viability compared to (Media+DMSO) control was denoted as the mean absorbance of Echinacea extracts, fractions or synthesized compound divided by the mean absorbance of (Media+DMSO) control, expressed as a percentage.

4.9. NO, PGE2 and cytokine measurement

After the supernatants were collected, Griess reaction was used to determine NO levels according to procedures as described (Huang et al., 2009). For PGE2 measurement, samples stored at −80 oC were thawed at room temperature and then diluted 15 fold into ddH2O. Biotrek PGE2 enzyme immunoassay system was employed to measure PGE2 concentrations in cell supernatants based on manufacturer’s protocols. The levels of TNF-α, IL-1β and IL-6 in the supernatant samples were analyzed with BD OptEIA ELISA sets according to manufacturer’s instructions. Before the procedures were performed, the samples were diluted 20–40 fold into assay diluent for TNF-α and IL-6 to ensure that sample concentrations were within the linear range of a standard curve. Concentrations of NO, PGE2 and each type of cytokine produced by our samples were interpolated from their corresponding standard curves.

4.10. Western blot analysis

RAW264.7 cells at 80% confluency in 10 cm Petri dishes were treated with DMSO, Echinacea extracts and 100 μM quercetin (compound 3) plus 1 μg/ml LPS and DMSO alone for 8 h (for COX2 and COX1) or for 24 h (for iNOS). Preparation of whole-cell protein extracts from treated cells was performed as described by LaLone et a l. (2010). The protein concentration was measured by using the BCA Protein Assay Reagent. An equal amount of total protein for all treatments was loaded to detect iNOS, COX2, COX1 and α-Tubulin. The iNOS (sc-7271), COX-1 (sc-19998), COX-2 (sc-19999) and α-Tubulin (sc-8035) mouse monoclonal antibodies were diluted 1:600, 1:800, 1:500 and 1:1000, respectively, in 7% milk Tris-buffered saline containing 0.1% Tween-20. The secondary antibody, horseradish peroxidase-conjugated goat anti-mouse IgG (sc-2005), was diluted 1:1000 in the above-mentioned solution. The immunoblot was carried out as described (Przybyszewski et al., 2001). The signals were detected by ECL and quantified by Quantity One Software as described by (Hammer et al., 2007).

4.11. Statistical analysis

A randomized complete block design was applied to all experiments. For each experiment, there were three plates of cells receiving the same treatments. The Media+DMSO±LPS treatment within each plate was normalized to 100% and three plates were considered as fixed blocks. Because of the normalization the control values appear in the results without standard error (s.e.). For the cytotoxicity assay, there were three repeated measurements in each plate, which were averaged. For PGE2 assays and ELISA, concentrations of PGE2 and cytokines for all treatments were log transformed. Results were presented as % of Media+DMSO±LPS ± s.e.. ANOVA analysis using GLM procedures in SAS 9.0 (SAS Institute Inc, Cary, NC) was conducted to test statistical differences as compared to the Media+DMSO±LPS controls. For combined Bauer ketone treatments, multiple comparison with Tukey adjustment was conducted to test statistical differences among them.

Acknowledgments

The authors would like to thank the USDA-ARS North Central Regional Plant Introduction Station at Iowa State University for providing Echinacea root samples. A special thanks to George Kraus and Feng Liu who provided synthesized Bauer ketones. Thanks are also owed to all members of the Center for Research on Botanical Dietary Supplements at Iowa State University and the University of Iowa for their collaboration and helpful advice. Finally, we thank Dr. Ann Perera, the manager of W. M. Keck Metabolomics Facility at Iowa State University, for providing the analytical instrumentation.

This research was supported by grant number 9P50AT004155-06 from the National Center for Complementary and Alternative Medicine (NCCAM) and the Office of Dietary Supplements (ODS), National Institutes of Health (NIH). The contents are solely the responsibility of the authors and do not necessarily represent the official views of the NCCAM, or NIH. Mention of commercial brand names and trademarks does not constitute an endorsement of any products by the U.S. Department of Agriculture or cooperating agencies.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Contributor Information

Xiaozhu Zhang, Email: zhangxz@iastate.edu.

Ludmila Rizshsky, Email: ludmilar@iastate.edu.

Catherine Hauck, Email: cchauck@iastate.edu.

Luping Qu, Email: Luping.Qu@ars.usda.gov.

Mark P. Widrlechner, Email: Mark.Widrlechner@ars.usda.gov.

Basil J. Nikolau, Email: dimmas@iastate.edu.

Patricia A. Murphy, Email: pmurphy@iastate.edu.

References

  1. US nutrition industry overview. Nutr Bus J. 2009;14:13. [Google Scholar]
  2. Bae J. PhD dissertation. Iowa State University; Ames, IA: 2006. Synthesis of the natural compounds in Echinacea. [Google Scholar]
  3. Bakhle YS, Botting RM. Cyclooxygenase-2 and its regulation in inflammation. Mediators Inflamm. 1996;5:305–323. doi: 10.1155/S0962935196000452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Barnes J, Anderson LA, Gibbons S, Phillipson JD. Echinacea species (Echinacea angustifolia (DC.) Hell., Echinacea pallida (Nutt.) Nutt., Echinacea purpurea (L.) Moench): a review of their chemistry, pharmacology and clinical properties. J Pharm Pharmacol. 2005;57:929–954. doi: 10.1211/0022357056127. [DOI] [PubMed] [Google Scholar]
  5. Bauer R, Foster S. Analysis of alkamides and caffeic acid derivatives from Echinacea simulata and E. paradoxa roots. Planta Med. 1991;57:447–449. doi: 10.1055/s-2006-960147. [DOI] [PubMed] [Google Scholar]
  6. Bauer R, Khan IA, Wagner H. TLC and HPLC analysis of Echinacea pallida and E. angustifolia roots. Planta Med. 1988;54:426–430. doi: 10.1055/s-2006-962489. [DOI] [PubMed] [Google Scholar]
  7. Bauer R, Remiger P. TLC and HPLC analysis of alkamides in Echinacea drugs 1,2. Planta Med. 1989;55:367–371. doi: 10.1055/s-2006-962030. [DOI] [PubMed] [Google Scholar]
  8. Binns SE, Livesey JF, Arnason JT, Baum BR. Phytochemical variation in Echinacea from roots and flowerheads of wild and cultivated populations. J Agric Food Chem. 2002;50:3673–3687. doi: 10.1021/jf011439t. [DOI] [PubMed] [Google Scholar]
  9. Binns SEBBR, Arnason JT. A taxonomic revision of Echinacea (Asteraceae: Heliantheae) Systematic Botany. 2002;27:610–632. [Google Scholar]
  10. Bodinet C, Buescher N. Antiviral and immunological activity of glycoproteins from Echinacea purpurea radix. Planta Med. 1991;57 (Suppl 2):2. [Google Scholar]
  11. Canlas J, Hudson JB, Sharma M, Nandan D. Echinacea and trypanasomatid parasite interactions: growth-inhibitory and anti-inflammatory effects of Echinacea. Pharm Biol. 2010;48:1047–1052. doi: 10.3109/13880200903483468. [DOI] [PubMed] [Google Scholar]
  12. Chicca A, Adinolfi B, Pellati F, Orlandini G, Benvenuti S, Nieri P. Cytotoxic activity and G1 cell cycle arrest of a dienynone from Echinacea pallida. Planta Med. 2010;76:444–446. doi: 10.1055/s-0029-1186224. [DOI] [PubMed] [Google Scholar]
  13. Chicca A, Pellati F, Adinolfi B, Matthias A, Massarelli I, Benvenuti S, Martinotti E, Bianucci AM, Bone K, Lehmann R, Nieri P. Cytotoxic activity of polyacetylenes and polyenes isolated from roots of Echinacea pallida. Br J Pharmacol. 2008;153:879–885. doi: 10.1038/sj.bjp.0707639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Goel V, Chang C, Slama JV, Barton R, Bauer R, Gahler R, Basu TK. Alkylamides of Echinacea purpurea stimulate alveolar macrophage function in normal rats. Int Immunopharmacol. 2002;2:381–387. doi: 10.1016/s1567-5769(01)00163-1. [DOI] [PubMed] [Google Scholar]
  15. Hammer KD, Hillwig ML, Solco AK, Dixon PM, Delate K, Murphy PA, Wurtele ES, Birt DF. Inhibition of prostaglandin E2 production by anti-inflammatory Hypericum perforatum extracts and constituents in RAW264.7 mouse macrophage cells. J Agric Food Chem. 2007;55:7323–7331. doi: 10.1021/jf0710074. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Hou CC, Chen CH, Yang NS, Chen YP, Lo CP, Wang SY, Tien YJ, Tsai PW, Shyur LF. Comparative metabolomics approach coupled with cell- and gene-based assays for species classification and anti-inflammatory bioactivity validation of Echinacea plants. J Nutr Biochem. 2010;21:1045–1059. doi: 10.1016/j.jnutbio.2009.08.010. [DOI] [PubMed] [Google Scholar]
  17. Huang N, Hauck C, Yum MY, Rizshsky L, Widrlechner MP, McCoy JA, Murphy PA, Dixon PM, Nikolau BJ, Birt DF. Rosmarinic acid in Prunella vulgaris ethanol extract inhibits lipopolysaccharide-induced prostaglandin E2 and nitric oxide in RAW 264.7 mouse macrophages. J Agric Food Chem. 2009;57:10579–10589. doi: 10.1021/jf9023728. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Kindscher K. The conservation status of Echinacea species. University of Kansas; Lawrence: 2006. pp. 135–151. [Google Scholar]
  19. Kraus GA, Bae J, Wu L, Wurtele E. The synthesis and natural distribution of the major ketone constituents in Echinacea pallida. Molecules. 2007;12:406–414. doi: 10.3390/12030406. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. LaLone CA, Hammer KD, Wu L, Bae J, Leyva N, Liu Y, Solco AK, Kraus GA, Murphy PA, Wurtele ES, Kim OK, Seo KI, Widrlechner MP, Birt DF. Echinacea species and alkamides inhibit prostaglandin E2 production in RAW264.7 mouse macrophage cells. J Agric Food Chem. 2007;55:7314–7322. doi: 10.1021/jf063711a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. LaLone CA, Huang N, Rizshsky L, Yum MY, Singh N, Hauck C, Nikolau BJ, Wurtele ES, Kohut ML, Murphy PA, Birt DF. Enrichment of Echinacea angustifolia with Bauer alkylamide 11 and Bauer ketone 23 increased anti-inflammatory potential through interference with COX-2 enzyme activity. J Agric Food Chem. 2010;58:8573–8584. doi: 10.1021/jf1014268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. LaLone CA, Rizshsky L, Hammer KD, Wu L, Solco AK, Yum M, Nikolau BJ, Wurtele ES, Murphy PA, Kim M, Birt DF. Endogenous levels of Echinacea alkylamides and ketones are important contributors to the inhibition of prostaglandin E2 and nitric oxide production in cultured macrophages. J Agric Food Chem. 2009;57:8820–8830. doi: 10.1021/jf901202y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Linde K, Barrett B, Wolkart K, Bauer R, Melchart D. Echinacea for preventing and treating the common cold (Review) Cochrane Db Syst Rev. 2006:CD000530-EOA. doi: 10.1002/14651858.CD000530.pub2. [DOI] [PubMed] [Google Scholar]
  24. MacMicking J, Xie QW, Nathan C. Nitric oxide and macrophage function. Annu Rev Immunol. 1997;15:323–350. doi: 10.1146/annurev.immunol.15.1.323. [DOI] [PubMed] [Google Scholar]
  25. McGregor R. The taxonomy of the genus Echinacea (Compositae) The University of Kansas Science Bulletin. 1968;48:113–142. [Google Scholar]
  26. Przybyszewski J, Yaktine AL, Duysen E, Blackwood D, Wang W, Au A, Birt DF. Inhibition of phorbol ester-induced AP-1-DNA binding, c-Jun protein and c-jun mRNA by dietary energy restriction is reversed by adrenalectomy in SENCAR mouse epidermis. Carcinogenesis. 2001;22:1421–1427. doi: 10.1093/carcin/22.9.1421. [DOI] [PubMed] [Google Scholar]
  27. Ren J, Han EJ, Chung SH. In vivo and in vitro anti-inflammatory activities of alpha-linolenic acid isolated from Actinidia polygama fruits. Arch Pharm Res. 2007;30:708–714. doi: 10.1007/BF02977632. [DOI] [PubMed] [Google Scholar]
  28. Sharma SM, Anderson M, Schoop SR, Hudson JB. Bactericidal and anti-inflammatory properties of a standardized Echinacea extract (Echinaforce): dual actions against respiratory bacteria. Phytomedicine. 2010;17:563–568. doi: 10.1016/j.phymed.2009.10.022. [DOI] [PubMed] [Google Scholar]
  29. Sharma M, Arnason JT, Hudson JB. Echinacea extracts modulate the pattern of chemokine and cytokine secretion in rhinovirus-infected and uninfected epithelial cells. Phytother Res. 2006;20:146–152. doi: 10.1002/ptr.1824. [DOI] [PubMed] [Google Scholar]
  30. Stimpel M, Proksch A, Wagner H, Lohmann-Matthes ML. Macrophage activation and induction of macrophage cytotoxicity by purified polysaccharide fractions from the plant Echinacea purpurea. Infect Immun. 1984;46:845–849. doi: 10.1128/iai.46.3.845-849.1984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Tubaro A, Tragni E, Del Negro P, Galli CL, Della Loggia R. Anti-inflammatory activity of a polysaccharidic fraction of Echinacea angustifolia. J Pharm Pharmacol. 1987;39:567–569. doi: 10.1111/j.2042-7158.1987.tb03182.x. [DOI] [PubMed] [Google Scholar]

RESOURCES