- 1Hubei Key Laboratory of Natural Medicinal Chemistry and Resource Evaluation, School of Pharmacy, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 2Ezhou Central Hospital, Ezhou, China
- 3Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Two new polyketide compounds, asperulosins A and B (1–2), and one new prenylated small molecule, asperulosin C (3), along with nine known compounds (4–12), were isolated and identified from a fungus Aspergillus rugulosa. Their structures were extensively elucidated via HRESIMS, 1D, and 2D NMR analysis. The absolute configurations of the new compounds were determined by the comparison of their electronic circular dichroism (ECD), calculated ECD spectra, and the detailed discussion with those in previous reports. Structurally, compounds 1 and 2 belonged to the polyketide family and were from different origins. Compound 2 was constructed by five continuous quaternary carbon atoms, which occur rarely in natural products. All of the isolates were evaluated for anti-inflammatory activity against the production of nitric oxide (NO) in lipopolysaccharide (LPS)-induced RAW264.7 cells. Among those, compounds 1 and 5 showed a significant inhibitory effect on NO production with IC50 values of 1.49 ± 0.31 and 3.41 ± 0.85 μM, respectively. Additionally, compounds 1 and 5 markedly increased the secretion of anti-inflammatory cytokine IL10 while suppressing the secretion of pro-inflammatory cytokines IL6, TNF-α, IFN-γ, MCP-1, and IL12. Besides, 1 and 5 inhibited the transcription level of pro-inflammatory macrophage markers IL6, IL1β, and TNF-α while remarkably elevating the anti-inflammatory factor IL10 and M2 macrophage markers ARG1 and CD206. Moreover, 1 and 5 restrained the expression and nuclear translocation of NF-κB, as well as its downstream signaling proteins COX-2 and iNOS. All these results suggest that 1 and 5 have potential as anti-inflammatory agents, with better or comparable activities than those of the positive control, dexamethasone.
Introduction
Small molecular polyketide compounds have been considered commercially valuable for their wide range of functions, structural diversity, and outstanding pharmaceutical activities (González-Medina et al., 2017; Newman and Cragg, 2020). For instance, lovastatin, daunomycin, and tetracycline are all small molecular polyketides (Herkommer et al., 2014; Van Wagoner et al., 2014). Natural polyketides are biosynthesized by consecutive decarboxylative condensations of short-chain acyl-CoAs by fungi, bacteria, and plants (Hertweck, 2009). Consequently, bioactive polyketides have roused extensive scientific interest in the fields of chemistry and pharmacology in recent years (Lacoske and Theodorakis, 2015).
Inflammation is a defensive response to fight infections such as microbial infection, chemical stimuli, and toxins (Medzhitov, 2010). However, recent studies have shown that uncontrolled chronic inflammation is associated with multiple diseases, including rheumatoid arthritis, metabolic syndrome, diabetes, and cancer (Okamoto et al., 2007). Overproduction of pro-inflammatory factors including nitric oxide (NO) and cyclooxygenase-2 (COX-2) and cytokines such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) impulses the inflammatory response (Lee et al., 2016). Furthermore, the activation of the transcription factor nuclear factor-kappa B (NF-κB) accelerates the immune response via the transcriptional activation of the pro-inflammatory factors and cytokines mentioned above (Alvarez-Suarez et al., 2017).
Our group focuses on the discovery and development of novel bioactive secondary metabolites from the Aspergillus species in recent years. Representative research studies include asperflavipine A (Zhu et al., 2017), epicochalasines A and B (Zhu et al., 2016), asperterpenes A and B (Qi et al., 2016), asperpyridone A (Qiao et al., 2019), and terreuspyridine (Li et al., 2020). Moreover, we recently found that large-scale culture can approach many more natural products with novel skeletons (Hu et al., 2021). As part of the program mentioned above, we performed a chemical investigation on a polyketide-producing fungus, Aspergillus rugulosa (Ballantine et al., 1969; Cacho et al., 2012). As a result, we isolated and identified two new polyketides, asperulosins A and B (1–2), and one new prenylated small molecule, asperulosin C (3), along with nine known compounds (4–12). These compounds were determined as (–)-gregatin B (4) (Burghart-Stoll and Brückner, 2012), aspertetronin A (5) (Burghart-Stoll and Brückner et al., 2012), angelicoin B (6) (Elsebai et al., 2018), (R)-6-hydroxymellein (7) (Islam et al., 2007), dimethoxymellein (8) (Choudhary et al., 2004), 4-hydroxy-3-(3-methylbut-2-enyl) benzaldehyde (9) (Vu et al., 2016), diisobutyl phthalate (10) (Zhang et al., 2003), 3-(2-hydroxypropyl)-4-(hexa-2E,4E-dien-6-yl) furan-2(5H)-one (11) (Almassi et al., 1991), and trans-2-decenedioic acid (12) (Kwok et al., 1992) by detailed comparison of their NMR data and specific rotations with those of previous literatures. Herein, the details of the isolation, structural elucidation, and biological evaluations of the isolates (Figure 1) are described.
Materials and Methods
General
Optical rotation, UV, and IR data were recorded on a PerkinElmer 341 instrument, a Varian Cary 50 instrument, and a Bruker Vertex 70 instrument with KBr pellets, respectively. ECD data were measured using a JASCO-810 CD spectrometer. The high-resolution electrospray ionization mass spectra (HRESIMS) were recorded by using the positive ion mode on a Thermo Fisher LC-LTQ-Orbitrap XL instrument. One- and two-dimensional NMR data were recorded on a Bruker AM-400 instrument, with the reference of 1H and 13C NMR chemical shifts of the solvent peaks for methanol-d4 (δH 3.31 and δC 49.0) and CHCl3-d (δH 7.26 and δC 77.0). Semi-preparative HPLC was conducted on a Dionex HPLC system equipped with an Ultimate 3,000 pump (Thermo Fisher Scientific, Germany), an Ultimate 3,000 autosampler injector, and an Ultimate 3,000 diode array detector (DAD) controlled by Chromeleon software (version 6.80), using a reverse-phased C18 column (5 μm, 10 × 250 mm, Welch Ultimate XB-C18). Column chromatography (CC) was carried out by using silica gel (80–120, 100–200, 200–300 mesh, Qingdao Marine Chemical, Inc., Qingdao, People’s Republic of China), Lichroprep RP-C18 gel (40–63 μm, Merck, Darmstadt, Germany), and Sephadex LH-20 (GE Healthcare Bio-Sciences AB, Sweden). Silica gel 60 F254 was used for the TLC (thin-layer chromatography) detection, and spots were visualized by spraying heated silica gel plates with 5% H2SO4 in EtOH.
Fungal Material
The fungus Aspergillus rugulosa was purchased from the China General Microbiological Culture Collection Center (CGMCC, no. 3.6395). The fungal sample was deposited in the culture collection of Tongji Medical College, Huazhong University of Science and Technology.
Fermentation, Extraction, and Purification
The experimental stain was incubated in potato dextrose agar (PDA) medium at 28 °C for 4 days to prepare the seed cultures, which was then transferred into 500-ml Erlenmeyer flasks, each containing 200 g rice (total 20 kg). After being cultivated for 21 days, the medium was extracted with 95% aqueous EtOH five times at room temperature. Afterward, the solvent was removed under reduced pressure to yield a total residue, which was then suspended in water and partitioned repeatedly with EtOAc. The EtOAc extract (130.4 g) was chromatographed by silica gel CC (80–120 mesh), using an increasing gradient of petroleum ether–ethyl acetate (100:0–0:100) to afford six fractions (A–F).
Fraction C (16.5 g) was fractioned by silica gel CC (200–300 mesh), using an increasing gradient of petroleum ether–ethyl acetate (20:1–10:1) to afford ten subfractions (C1–C10). Subfraction C4 (375 mg) was chromatographed on Sephadex LH-20 eluted with CH2Cl2–MeOH (1:1, v/v) to yield three fractions (C4.1–C4.3). Fraction C4.2 was purified by using semi-preparative HPLC eluted with MeCN–H2O (82:18, v/v, 2.0 ml/min) to afford compound 1 (tR 15.2 min, 4.6 mg). Fraction C4.3 was purified by using semi-preparative HPLC (MeCN–H2O, 77:23, v/v, 2.0 ml/min) to yield compound 5 (tR 15.8 min, 5.4 mg). Compound 9 (tR 17.1 min, 3.0 mg) was purified by semi-preparative HPLC (MeCN–H2O, 52:48, v/v, 2.0 ml/min) from fraction C4.1. Subfraction C5 was chromatographed on Sephadex LH-20 eluted with CH2Cl2–MeOH (1:1, v/v) to yield five fractions (C5.1–C5.5). Fraction C5.2 was purified by using semi-preparative HPLC (MeOH–H2O, 80:20, v/v, 2.0 ml/min) to yield compound 10 (tR 31.3 min, 18.2 mg). Fraction C5.3 was chromatographed using the RP-C18 column with MeOH–H2O (from 35:65 to 100:0, v/v) to afford ten subfractions (C5.3.1–C5.3.10). Compound 3 (tR 25.1 min, 5.0 mg) was purified by semi-preparative HPLC (MeCN–H2O, 58:42, v/v, 2.0 ml/min) from fraction C5.3.2. Compound 2 (tR 9.3 min, 4.9 mg) was purified by semi-preparative HPLC (MeCN–H2O, 30:70, v/v, 2.0 ml/min) from fraction C5.3.4. Compound 11 (tR 41.3 min, 66.0 mg) was purified by semi-preparative HPLC (MeOH–H2O, 55:45, v/v, 2.0 ml/min) from fraction C5.3.5. Compound 4 (tR 14.0 min, 55.6 mg) was purified by semi-preparative HPLC (MeOH–H2O, 79:21, v/v, 2.0 ml/min) from C5.3.6. Compound 12 (tR 31.3 min, 3.5 mg) was purified by semi-preparative HPLC (MeOH–H2O, 75:45, v/v, 2.0 ml/min) from fraction C5.3.8.
Fraction E (1.4 g) was fractioned by silica gel CC (200–300 mesh), using an increasing gradient of petroleum ether–ethyl acetate (10:1–1:1) to afford five subfractions (E1–E5). Subfraction E4 (417 mg) was chromatographed using the RP-C18 column with MeOH–H2O (from 30:70 to 90:10, v/v) to afford eight subfractions (E4.1–E4.8). Compound 6 (tR 19.2 min, 9.1 mg) was purified by semi-preparative HPLC (MeCN–H2O, 33:67, v/v, 2.0 ml/min) from fraction E4.3. Fraction E4.2 was purified by using semi-preparative HPLC (MeCN–H2O, 28:72, v/v, 2.0 ml/min) to afford compound 7 (tR 16.3 min, 3.4 mg). Compound 8 (tR 15.5 min, 16.4 mg) was purified by semi-preparative HPLC (MeCN–H2O, 47:53, v/v, 2.0 ml/min) from fraction E4.6.
Spectroscopic Data
Compound 1: colorless oil; (α)25 D: +2.0 (c 0.1, MeOH); UV (MeOH) λmax (log ε) = 233 (3.34) nm; IR νmax = 2,962, 1,725, 1,384, 1,345, 1,246, 1,028, 1,024, 818 cm−1; ECD (c 0.1, MeOH) Δε202—6.3, Δε236 + 0.20, Δε258—1.15; molecular formula C17H26O2; HRESIMS m/z 285.1837 (M + Na)+ (calcd for C17H26O2Na, 285.1830); for 1H and 13C NMR data, see Table 1.
Compound 2: white powders; (α)25 D: 52.2 (c 0.1, MeOH); IR νmax = 3,425, 1,732, 1,649, 1,579, 1,447, 1,205, 1,009 cm−1; ECD (c 0.1, MeOH) Δε214 + 8.37, Δε241 − 2.62, Δε268 + 3.78; HRESIMS m/z 209.0404 (M + Na)+ (calcd for C8H10O5Na, 209.0426); for 1H and 13C NMR data, see Table 1.
Compound 3: white powders; UV (MeOH) λmax (log ε) = 202 (4.16), 279 (4.01) nm; IR νmax = 3,429, 1,720, 1,613, 1,588, 1,438, 1,265, 1,018 cm−1; molecular formula C14H18O3, HRESIMS m/z 257.1155 (M + Na)+ (calcd for C14H18O3Na, 257.1154); for 1H and 13C NMR data, see Table 1.
Compound 4 [(–) gregatin B]: Colorless oil; (α)25 D = −178.0 (MeOH); 1H-NMR (400 MHz, CDCl3) δH: 0.98 (3H, t, J = 7.5 Hz, H3-6′′), 1.52 (3H, s, H3-2), 2.09 (2H, q, J = 7.5 Hz, H2-5′′), 2.64 (3H, s, H3-6), 3.82 (3H, s, OCH3-1′), 5.53 (1H, d, J = 15.5 Hz, H-1′′), 5.81 (1H, dt, J = 15.5, 6.5 Hz, H-4′′), 5.96 (1H, m, H-3′′), and 6.27 (1H, dd, J = 15.5, 10.3 Hz, H-2′′).
Compound 5 (aspertetronin A): Colorless oil; 1H-NMR (400 MHz, CDCl3) δH: 0.98 (3H, t, J = 7.5 Hz, H3-6′), 1.54 (3H, s, H3-7′), 2.07 (2H, m, H2-5′), 3.83 (3H, s, OCH3-1‴), 5.56 (1H, d, J = 15.5 Hz, H-1′), 5.80 (1H, dt, J = 15.5, 6.5 Hz, H-4′), 5.96 (1H, m, H-3′), 6.26 (1H, dd, J = 15.5, 10.3 Hz, H-2′), 7.21 (1H, m, H-2′′), and 7.33 (1H, m, H-1′′). 13C-NMR (100 MHz, CDCl3) δC: 13.3 (C-6′), 19.4 (C-3′′), 22.5 (C-7′), 26.7 (C-5′), 51.6 (OCH3-1‴), 90.4 (C-5), 103.7 (C-3), 120.8 (C-1′′), 126.1 (C-1′), 127.7 (C-3′), 131.5 (C-2′), 139.3 (C-4′), 144.8 (C-2′′), 163.9 (C-1‴), 185.2 (C-2), and 197.0 (C-4).
Compound 6 (angelicoin B): White amorphous powder; 1H-NMR (400 MHz, CDCl3) δH: 1.47 (3H, d, J = 6.3 Hz, CH3-3), 2.82 (2H, br d, J = 7.3 Hz, H2-4), 3.78 (3H, s, OMe-6), 3.90 (3H, s, OMe-7), 4.63 (1H, m, H-3), 6.21 (1H, d, J = 2.2 Hz, H-5), 6.31 (1H, d, J = 2.3 Hz, H-7), and 11.2 (1H, s, OH-8). 13C-NMR (100 MHz, CDCl3) δC: 20.6 (C-9), 34.7 (C-4), 55.4 (OMe-6), 75.4 (C-3), 99.3 (C-7), 101.4 (C-8a), 106.0 (C-5), 140.9 (C-4a), 164.3 (C-8), 165.6 (C-6), and 169.8 (C-1).
Compound 7 [(R)-6-hydroxymellein]: White amorphous powder; 1H-NMR (400 MHz, MeOH-d4) δH: 1.46 (3H, d, J = 6.3 Hz, CH3-3), 2.82 (1H, dd, J = 16.4, 11.0 Hz, H-4a), 2.91 (1H, dd, J = 16.4, 3.7 Hz, H-4b), 4.66 (1H, m, H-3), 6.19 (1H, d, J = 2.3 Hz, H-5), and 6.21 (1H, d, J = 2.3 Hz, H-7). 13C-NMR (100 MHz, MeOH-d4) δC: 20.9 (C-9), 35.5 (C-4), 71.2 (C-3), 101.3 (C-7), 102.2 (C-8a), 107.9 (C-5), 143.5 (C-4a), 165.7 (C-8), 166.5 (C-6), and 171.7 (C-1).
Compound 8 [(–)-(3R)-6,7-Dimethoxymellein]: Colorless crystalline solid; 1H-NMR (400 MHz, CDCl3) δH: 1.51 (3H, d, J = 6.3 Hz, H3-9), 2.86 (2H, m, H2-4), 3.87 (3H, s, OMe-6), 3.90 (3H, s, OMe-7), 4.66 (1H, m, H-3), 6.28 (1H, s, H-5), and 11.1 (1H, s, OH-8). 13C-NMR (100 MHz, CDCl3) δC: 20.6 (C-9), 34.6 (C-4), 56.1 (OMe-6), 60.7 (OMe-7), 75.8 (C-3), 102.0 (C-5), 102.8 (C-8a), 135.4 (C-7), 156.1 (C-8), 158.4 (C-6), and 169.8 (C-1).
Compound 9 [4-hydroxy-3-(3-methylbut-2-enyl) benzaldehyde]: Colorless oil; 1H-NMR (400 MHz, MeOH-d4) δH: 1.72 (3H, s, H3-4′), 1.76 (3H, s, H3-5′), 3.33 (2H, overlap, H2-1′), 5.34 (1H, ddq, J = 8.9, 5.9, 1.5 Hz, H-2′), 6.89 (1H, d, J = 8.2 Hz, H-5), 7.60 (1H, dd, J = 8.2, 2.3 Hz, H-6), 7.62 (1H, d, J = 2.3 Hz, H-2), and 9.72 (1H, s, CHO). 13C-NMR (100 MHz, MeOH-d4) δC: 17.8 (C-4′), 25.9 (C-5′), 28.9 (C-1′), 116.0 (C-2, C-5), 122.9 (C-2′), 130.2 (C-3), 130.4 (C-1), 131.4 (C-5), 132.3 (C-6), 134.1 (C-3′), 163.0 (C-4), and 193.2 (C-7).
Compound 10 (diisobutyl phthalate): Colorless viscous liquid; 1H-NMR (400 MHz, MeOH-d4) δH: 0.99 (12H, d, J = 6.7 Hz, 4 × CH3), 2.03 (2H, dp, J = 13.4, 6.7 Hz), 4.07 (4H, d, J = 6.5 Hz), 7.62 (2H, dd, J = 5.7, 3.3 Hz), and 7.73 (2H, dd, J = 5.7, 3.3 Hz). 13C-NMR (100 MHz, MeOH-d4) δC: 19.5, 29.0, 72.9, 129.9, 132.3, 133.6, and 169.2.
Compound 11 [3-(2-hydroxypropyl)-4-(hexa-2E,4E-dien-6-yl) furan-2(5H)-one]: Colorless oil; 1H-NMR (400 MHz, MeOH-d4) δH: 1.18 (3H, d, J = 6.2 Hz, H3-3′′), 1.73 (3H, br d, J = 6.8 Hz, H3-1′), 2.40 (2H, m, H2-1′′), 3.28 (2H, d, J = 7.1 Hz, H2-6′), 3.96 (1H, m, H-2′′), 4.75 (2H, s, H2-5), 5.55 (1H, dt, J = 14.0, 7.1 Hz, H-5′), 5.68 (1H, dq, J = 13.7, 6.8 Hz, H-2′), 6.05 (1H, m, H-3′), and 6.15 (1H, m, H-4′). 13C-NMR (100 MHz, MeOH-d4) δC: 18.1 (C-1′), 23.3 (C-3′′), 31.2 (C-6′), 34.1 (C-1′′), 67.0 (C-2′′), 73.2 (C-5), 124.8 (C-5′), 125.6 (C-4), 130.1 (C-2′), 132.1 (C-3′), 135.1 (C-4′), 164.3 (C-3), and 177.7 (C-2).
Compound 12 (trans-2-decenedioic acid): Colorless oil; 1H-NMR (400 MHz, MeOH-d4) δH: 1.36 (2H, m, H2-5), 1.36 (2H, m, H2-6), 1.48 (2H, m, H2-7), 1.60 (2H, m, H2-8), 2.22 (2H, m, H2-4), 2.28 (2H, m, H2-9), 5.80 (1H, d, J = 15.6 Hz, H-2), and 6.94 (1H, dt, J = 15.5, 7.0 Hz, H-3). 13C-NMR (100 MHz, MeOH-d4) δC: 26.0 (C-8′), 29.1 (C-7), 29.9 (C-5), 30.0 (C-6), 33.0 (C-4), 35.0 (C-9), 122.7 (C-2), 150.9 (C-3), 170.3 (C-1), and 177.7 (C-10).
Cell Culture and Administration
Mouse macrophage-like cell line RAW 264.7 was cultured at 37 °C in a 5% CO2 environment in DMEM (Hyclone, United States) supplemented with 10% fetal calf serum (Gibico, United States), the antibiotics of penicillin/streptomycin (100 units/ml) (Invitrogen, United States), and 1.5% horse serum. LPS (1 μg/ml) was used to activate RAW264.7 cells. Dexamethasone (DEX) was used as the positive control.
Measurement of Nitric Oxide (NO) and Cytotoxic Assay
RAW 264.7 cells (5 × 104 cells/ml) were seeded in 96-well plates in 100 μl culture. After preincubation for 24 h, the seeded cells were treated with tested compounds ranging from 40 to 5 µM for 1 h, followed by stimulation with LPS (1 μg/ml) for another 24 h. The production of NO was determined with Griess reagent. Cell culture supernatants (50 μl) were mixed with 100 μl Griess reagent (1% sulfanilamide/0.1% naphthylethylene diamine dihydrochloride/2% phosphoric acid) in a 96-well plate for 10 min at room temperature. Then, the optical density was measured at 510 nm using a microplate reader (Thermo Fisher Scientific, United States). After 24 h of treatment with tested compounds, 10 μl of CCK-8 solution was added to each well, and the cells were incubated for a further 2 h, followed by the detection of absorbance at 450 nm.
Cytokine Production Bioassay
Cells were treated as described above. After 24 h of treatment, the secretion level of cytokines IL6, IL10, MCP-1, IFN-γ, TNF-α, and IL12 in the culture supernatant was detected using an Ms Inflammation Cytometric Bead Array (CBA) kit (BD Pharmingen, United States) according to the manufacturer’s protocol.
Quantitative Real Time Polymerase Chain Reaction Tests
RNA was isolated from RAW264.7 cells treated with the tested compounds (Invitrogen, Thermo Fisher Scientific, United States) according to the manufacturer’s recommendations. Total RNA was reverse-transcribed into cDNA using a transcription kit (ABP, United States). Quantitative RT-PCR (qRT-PCR) was performed using SYBR Green qPCR Mix (ABP, United States) with 0.2-μM forward and reverse primers in a final volume of 10 μl, and detection was performed using ABI QuantStudio 5 (Thermo Fisher Scientific, United States). The resulting cDNA was amplified by incubating at 95 °C for 5 min, 40 cycles of denaturation at 95 °C for 10 s, annealing at 55–60 °C for 20 s, and extension at 72 °C for 30 s. Values were exhibited relative to β-actin. The corresponding primer sequences are listed in Supplementary Table S1.
Western Blot Analysis
Total proteins from the RAW264.7 cells were lysed in radioimmunoprecipitation assay (RIPA, Beyotime, China) buffer, and 30 μg total proteins were used for each blot. The samples were separated by SDS-PAGE and transferred onto a nitrocellulose filter (NC, Millipore, United States) membrane by electro-blotting. The membranes were blocked for 1 h and then incubated overnight with 1:1,000 dilutions of anti-TLR4, anti-iNOS, anti-COX2, and anti–NF-κB p65 (Cell Signaling Technology, United States). After incubation with the secondary antibody anti-mouse IgG (H + L) (DyLight™ 800, Cell Signaling Technology, United States) at 1:15,000 dilutions, the membranes were imaged using a LiCor Odyssey scanner (LI-COR, United States). Protein expressions were normalized using β-actin as the reference (Cell Signaling Technology, United States) in the same sample.
Immunofluorescence
The cell-seeded glass cover slips were fixed with 4% cold paraformaldehyde for 15 min and permeabilized with 0.1% Triton X-100 for 30 min. Then, the cover slips were blocked with 5% BSA for 1 h and incubated with a primary antibody specific to the NF-κB p65 subunit (Cell Signaling Technology, United States) overnight at 4°C, followed by a secondary antibody labeled with Alexa Fluor-594 (1:5,000) for 1 h at room temperature, protected from light. After being stained with DAPI (5 μg/ml in PBS) for 30 min at 37 °C, the cover slips were washed and sealed. Images were obtained using an OLYMPUS IX73 fluorescence microscope (Olympus, Tokyo, Japan) with excitation/emission wavelengths of 590 nm/617 nm for Alexa Fluor-594 and 360 nm/450 nm for DAPI, respectively.
Molecular Docking
The virtual docking was carried out in the Surflex-Dock module of FlexX/Sybyl software, which belongs to a fast docking method that allows sufficient flexibility of ligands and keeps the target protein rigid. Molecules were built using Chemdraw software and further optimized at the molecular, mechanical, and semiempirical level using Open Babel GUI. The crystallographic ligands were extracted from the active site, and the designed ligands were modeled. All the hydrogen atoms were added to define the correct ionization and tautomeric states, and the carboxylate, phosphonate, and sulfonate groups were considered in their charged form. In the docking calculation, the default FlexX scoring function was applied for exhaustive searching, solid body optimizing, and interaction scoring. Finally, the ligands with the lowest energy and the most optimum orientation were chosen.
Statistical Analysis
All experiments were conducted in biological triplicate. All data are displayed as the mean ± standard error of the mean (SEM). Differences were evaluated by the Student’s t-test using GraphPad Prism software (GraphPad Prism version 5.01 for Windows, San Diego, CA). Differences with *p and #p < 0.05 were considered statistically significant.
Results
Structure Elucidation
Compound 1 was isolated as colorless oil. The molecular formula C17H26O2 was deduced from the HRESIMS data (Supplementary Figure S7) at m/z 285.1837 (M + Na)+ (calcd for C17H26O2Na, 285.1830), referring to five degrees of unsaturation. The 13C NMR and DEPT spectroscopic data (Table 1; Supplementary Figure S2) of 1 revealed 17 carbon resonances that were attributed to four methyls at δC 11.3 (C-14), 12.5 (C-15), 21.4 (C-16), and 19.1 (C-17), three sp3 methylenes at δC 30.1 (C-4), 44.7 (C-11), and 30.0 (C-13), five olefinic methines at δC 121.6 (C-2), 144.7 (C-3), 122.2 (C-6), 138.7 (C-7), and 142.4 (C-9), three sp3 methines at δC 78.6 (C-5), 30.3 (C-10), and 32.2 (C-12), one olefinic quaternary carbon at δC 130.7 (C-8), and one ester carbonyl at δC 164.1 (C-1). The 1H NMR spectrum (Table 1; Supplementary Figure S1) of 1 showed diagnostic signals for four methyls, three sp3 methylenes, five olefinic methines, and three sp3 methines, which were attributed to the corresponding carbon atoms with the help of the HSQC spectrum. One carbonyl group and six olefinic carbon atoms, accounting for 4 out of 5 degrees of unsaturation, indicated that 1 possessed a monocyclic ring system. The key 1H–1H COSY spin–spin coupling system (Figure 2; Supplementary Figure S5) of H-9/H-10/H2-11/H-12/H2-13/H3-14, H3-16/H-10, and H3-17/H-12 in 1 indicated the direct carbon–carbon connectivity of C-9/C-10/C-11/C-12/C-13/C-14, C-16/C-10, and C-17/C-12. Subunit 1 was deduced and confirmed by the key HMBC correlations (Figure 2; Supplementary Figure S4) from H3-16 to C-9 and C-11, from H3-17 to C-11 and C-13, from H3-14 to C-12, and from H-12 to C-14. In the same manner, the direct carbon–carbon connectivity of C-2/C-3/C-4/C-5/C-6/C-7 was elucidated. The obvious HMBC correlations from H-2 (δH 6.06 dt J = 9.8, 1.8 Hz), H-3 (δH 6.89 dt J = 9.8, 4.3 Hz), and H-5 (4.97 ddd J = 15.0, 7.4, 0.8 Hz) to C-1 (δC 164.1) and from H-3 and H2-4 (δH 2.47 m) to C-5 (δC 78.6) showed the presence of lactone groups in subunit 2. The construction of subunits 1 and 2 was connected by an olefinic quaternary carbon atom (δC 130.7, C-8), which was deduced from the key HMBC cross peaks (Figure 2) of H-6/C-8, H-10/C-8, H3-15/C-8, and H3-15/C-7. Thus, the planar structure of 1 was determined (Figure 2).
Due to the presence of side chains in 1, its relative configuration was determined with difficulty. In order to search for evidence for the configurational elucidation, we disassembled the structure of 1 into parts A and B (Figure 3). The configurations of 1A (5S) and 1B (5R) were calculated via the time-dependent density functional theory (TDDFT) method at the B3LYP/6-311++G** level with PCM in MeOH (Qiao et al., 2016; Qiao et al., 2019). In this case, the experimental curve displayed a good accordance behavior with the calculated ECD of 1A and showed an absolutely reverse curve to that of enantiomer 1B (Figure 4). Thus, the absolute configuration of part A was elucidated as 5S. Raffaele Riccio and co-workers (Bifulco et al., 2007) reported a useful method for the determination of relative configuration in organic compounds. In the rule, 16β is determined as the chemical shift of C-15 at less or more than 12.0 ppm (Table 2). Accordingly, the 16β of 1 was established because of the chemical shift of C-15 at δC 12.5 ppm. Moreover, the chemical shifts of C-13 (δC 30.0), C-16 (δC 21.4), and C-17 (δC 19.1), located in the intervals of 30.0–30.5, 21.0–21.6, and 18.9–19.2 ppm, respectively, showed the agreement with the configurations of 16β and 17β (Table 2). The discussions mentioned above enable us to elucidate the absolute configuration of 1 as 5S, 16S, and 17S. Using the search network SciFinder (https://scifinder.cas.org), compound 1 was determined as a unique linear chain compound with an α, β-unsaturated monocyclic lactone structure originating from the polyketide family.
TABLE 2. Previously reported rule for the identification of relative configurations in side chain compounds (Bifulco et al., 2007).
Compound 2 was obtained as a white, amorphous powder and showed a molecular formula of C8H10O5, on the basis of its HRESIMS analysis (Supplementary Figure S14) at m/z 209.0404 (M + Na)+ (calcd for C8H10O5Na, 209.0426), requiring four degrees of unsaturation. The IR spectrum (Supplementary Figure S15) of 2 exhibited characterized absorption bands for hydroxy groups (3,425 cm−1) and ester/lactone carbonyl groups (1732 cm−1). The 1H NMR spectrum (Table 1; Supplementary Figure S10) of 2 showed two sp3 methyls [(δH 1.49, s, CH3-6) and (δH 2.60, s, CH3-7)] and one methoxy group at δH 3.78 (s, CH3-8) signals. The 13C NMR data (Table 1; Supplementary Figure S11) of 2 were attributed to one carbonyl group (δC 197.7, C-1), one lactone carbonyl group (δC 164.4, C-4), two sp2 quaternary carbons (δC 107.7, C-2 and δC 198.3, C-3), and one hemiacetal carbon atom at δC 106.4 (C-5). The key HMBC correlations (Supplementary Figure S13) from H3-6 to C-2 and C-3, from H3-7 to C-1 and C-5, and from the methoxy proton (δH 3.78) to C-4, coupled with the molecular degrees of unsaturation, deduced the planar structure of 2, as shown in Figure 2.
To determine the absolute configuration of C-5, the time-dependent density functional theory (TDDFT) method at the B3LYP/6-311++G** level with PCM in MeOH was performed for 2A (5S) and 2B (5R). The calculated ECD spectrum of 2A matched well with that of the experimental ECD (Figure 5), indicating that the absolute configuration of 2 was elucidated as 5S.
Compound 3 was obtained as a white, amorphous powder, and the molecular formula C14H18O3 was established according to HRESIMS (Supplementary Figure S21) m/z 257.1155 (M + Na)+ (calcd for C14H18O3Na, 257.1154), requiring six degrees of unsaturation. The 1H NMR and 13C NMR spectra (Table 1; Supplementary Figures S16, S17) exhibited signals indicating the presence of a 1,2,4-trisubsituted phenyl group with the NMR data C-1 (δC 153.5), C-2 (δC 127.0), CH-3 (δH 7.00 overlap, δC 130.8), C-4 (δC 126.0), CH-5 (δH 6.74 dd, J = 8.8, 7.9 Hz, δC 115.8), and CH-6 (δH 7.02 overlap, δC 128.2). The key 1H–1H COSY spin–spin coupling system (Figure 2; Supplementary Figure S20) of H2-9/H-10 and the HMBC (Supplementary Figure S19) correlations from H3-12 and H3-13 to C-10 and C-11 (Figure 2) indicated the presence of a classical isopentenyl group. Additionally, the key HMBC correlations from H2-9 to C-1 and C-2 and from H-3 and H-6 to C-1 indicated the isopentenyl group locating at C-2. In turn, the HMBC correlations from H3-14 and H2-7 to C-8 and from H2-7 to C-3, C-4, and C-6 constructed a methyl acetate group connected to the phenyl group locating at C-4. Moreover, the chemical shift of C-1 (δC 153.5), coupled with HRESIMS, indicated a hydroxyl group locating at C-1. The chemical structure was thus elucidated as shown in Figure 1.
One and Five Suppressed LPS-Induced Nitric Oxide Production
All of the isolates were evaluated for anti-inflammatory activity against the production of NO in RAW264.7 stimulated by LPS. Among the isolates evaluated, compounds 1 and 5 showed a significant inhibitory effect on NO production, with IC50 values of 1.49 ± 0.31 and 3.41 ± 0.85 μM, respectively, while the others exhibited no obviously inhibitory activities, with IC50 values up to over 40 μM (Figures 6A,B; Table 3). Besides, the cytotoxicity assay exhibited that no apparent toxicities were observed at different concentrations of 1 and 5 (Figures 6C,D). These results suggest that 1 and 5 have potential as in vitro anti-inflammatory agents, with better or comparable activities than those of the positive control, dexamethasone (DEX).
FIGURE 6. Compounds 1 and 5 exert significant anti-inflammatory effect on RAW264.7 macrophage cells. Effects of 1 and 5 on the NO production (A, B) and cell viability (C, D) of LPS-induced RAW264.7. Cells were treated with various concentrations of 1 and 5 ranging from 5, 10, 20, and 40 μM. Data were presented as the mean ± SEM (n = 4). #p < 0.05, ###p < 0.001 vs. control, ***p < 0.001 vs. model.
One and Five Exerted Potent Anti-Inflammatory Effect by Restraining the M1 Macrophage Polarization Induced by LPS
Macrophages play an important role in multiple immune responses. Research studies have clarified two major macrophages, including classically activated or inflammatory (M1) and alternatively activated or anti-inflammatory (M2) macrophages (Wang et al., 2019). M1 macrophages can be stimulated by LPS, and then, they secrete high levels of pro-inflammatory cytokine factors, such as NO, COX-2, IL6, IL1β, and TNF-α. Meanwhile, M2 macrophages can be activated by IL-4 or IL-13, characterized by the high-level secretion of IL10, arginase-1 (ARG1), and the mannose receptor, C type 1 (MRC1/CD206) (Kong et al., 2019). Hence, we first detected the secretion of cytokines from the cell culture supernatant of administrated RAW264.7 cells. Our results demonstrated that 1 and 5 both elevated the level of immunoregulatory cytokine IL10 while decreasing pro-inflammatory cytokines IL6, TNF-α, IFN-γ, MCP-1, and IL12 (Figures 7A–F). These findings prompted us to conclude that both 1 and 5 can suppress the induction of M1 macrophages by LPS. As well, our qRT-PCR results exhibited that 1 and 5 significantly inhibited the transcription level of pro-inflammation M1 markers IL6, IL1β, and TNF-α (Figures 8A–D) while remarkably increasing the expression of IL10 and the anti-inflammation M2 markers ARG1 and CD206 (Figures 8E,F). Altogether, our results revealed that both 1 and 5 can have a potent anti-inflammatory effect by preventing the M1 macrophage polarization induced by LPS.
FIGURE 7. Effects of 1 and 5 on the production of cytokines by LPS-induced RAW264.7 cells. The level of IL10 (A), IL6 (B), IFNγ (C), MCP-1 (D), TNF-α (E), and IL12 (F) produced by LPS-stimulated RAW264.7 cells treated with 1 or 5. Data were presented as the mean ± SEM (n = 3). #p < 0.05, ##p < 0.01, ###p < 0.001 vs. control, *p < 0.05, **p < 0.01, ***p < 0.001 vs. model.
FIGURE 8. Influences of 1 and 5 on the transcription level of macrophage markers. The expression of inflammatory markers IL6 (A), TNF-α (B), and IL1β (C) and immunomodulatory markers IL10 (D), ARG1 (E), and CD206 (F) in 1- or 5-administrated RAW264.7 cells activated by LPS. Data were presented as the mean ± SEM (n = 3). ##p < 0.01, ###p < 0.001 vs. control, *p < 0.05, **p < 0.01, ***p < 0.001 vs. model.
One and Five Inhibit the Nuclear Translocation of Nuclear Factor-Kappa B p65
LPS can bind to and activate cell membrane receptor toll-like receptor 4 (TLR4), thus producing a large number of NF-κB through MyD88-dependent pathways, thereby promoting M1 macrophage polarization (Ostareck and Ostareck-Lederer, 2019). We also found that both 1 and 5 can significantly depress the transcription level of inflammatory factors iNOS and COX-2 (Figures 9A,B). Meanwhile, only compound 1 can notably inhibit the protein expression of iNOS and NF-κB p65 (Figure 9D), while 5 exerts slight inhibition on the protein expression of COX-2 and NF-κB p65 (Figure 9D). NF-κB p65 is a pivotal transcriptional factor in the macrophage activation progress, which can activate and translocate into the nucleus to regulate the transcription of COX-2 and iNOS (Emam et al., 2021). We also found that both 1 and 5 can inhibit the nuclear translocation of NF-κB p65 (Figure 9C). On this basis, compounds 1 and 5 were subjected to molecular docking to NF-κB p65 (PDB ID of protein receptor: 1OY3) to gain a better understanding of the hypothetical mechanism. As a result, 1 can virtually bind to NF-κB p65 through hydrogen bonds to the binding sites Asn139 and Arg73, active residues shown in Figure 9E, with an affinity of −6.98 kcal/mol. In comparison, 5 binds to NF-κB p65 through hydrogen bonds to the binding sites Arg246 and Lys221, active residues shown in Figure 9F, with an affinity of −5.78 kcal/mol. Hence, we speculate that 1 can preferably bind to and inhibit NF-κB p65 to exert the anti-inflammatory effect.
FIGURE 9. 1 and 5 inhibit the nuclear translocation of NF-κB p65 to exert anti-inflammation effect. Effects of 1 and 5 on the transcription level of inflammatory factors iNOS (A) and COX-2 (B) in LPS-induced RAW 264.7 cells. Dexamethasone (Dex) was used as a positive control. Data were presented as the mean ± SEM (n = 3). ###p < 0.001 vs. control, *p < 0.05, **p < 0.01, ***p < 0.001 vs. model. (C) Effects of 1 and 5 on the expression of NF-κB p65 in LPS-treated RAW264.7 cells by immunofluorescence (scale bar = 20 μm). (D) Protein expression of TLR4, iNOS, COX-2, and NF-κB p65 in RAW264.7 cells stimulated with LPS. ##p < 0.01, ###p < 0.001 vs. control, *p < 0.05, **p < 0.01, ***p < 0.001 vs. model. In silico analysis of the interactions between NF-κB p65 and 1 (E) and 5 (F), respectively.
Discussion
To the best of our knowledge, there are very little research data on the secondary metabolites of Aspergillus rugulosa. Aiming to discover new chemical constituents and their pharmacological activities, we explored the secondary metabolites of this fungus. In conclusion, two new polyketide compounds, asperulosins A and B (1–2), and one new prenylated small molecule, asperulosin C (3), along with nine known compounds (4–12), were isolated and identified from the fungus Aspergillus rugulosa. Remarkably, compound 1 was determined as a unique linear chain compound with an α ,β-unsaturated monocyclic lactone structure originating from the polyketide family. Compound 2 was constructed by five continuous quaternary carbon atoms, which occur rarely in natural products. Except for compound 5, the others were first isolated from the fungus Aspergillus rugulosa.
Macrophages play an important role in the immune system. They can be stimulated by LPS, and then, they secrete multiple pro-inflammatory factors, such as NO, COX-2, IL6, IL1β, and TNF-α (Duarte et al., 2014). Excessive NO can induce DNA damage, apoptosis, and oxidative stress, thereby amplifying the inflammatory response (Gu et al., 2020). Accordingly, all of the isolates were evaluated for anti-inflammatory activity against the production of NO in RAW264.7 stimulated by LPS. Among them, polyketide compounds 1 and 5 showed a significant inhibitory effect on NO production, with IC50 values of 1.49 ± 0.31 and 3.41 ± 0.85 μM, respectively. Moreover, our results uncovered that 1 and 5 can also elevate the level of immunoregulatory cytokine IL10 while decreasing pro-inflammatory cytokines IL6, TNF-α, IFN-γ, MCP-1, and IL12. As well, 1 and 5 significantly inhibited the transcription level of pro-inflammation M1 markers IL6, IL1β, and TNF-α while remarkably increasing the expression of IL10 and the anti-inflammation M2 markers ARG1 and CD206. These results suggest that 1 and 5 could be considered as a basis for the synthesis of novel anti-inflammatory drugs.
NF-κB is a transcription factor that regulates the gene expression of inflammation, cell growth, proliferation, and immune response (Khan et al., 2020). NF-κB is composed of the p65 and p50 subunits. LPS can stimulate and activate the transcription activity of NF-κB p65 by promoting its translocation into the nucleus (Christian et al., 2016). Our results demonstrate that both 1 and 5 can obviously prevent the expression of NF-κB p65 in the nucleus and suppress the transcription of COX-2 and iNOS. However, 1 exerts more potent inhibition activity on the protein expression of TLR4, iNOS, and NF-κB p65 than 5. These results are consistent with the NO inhibition IC50 value. Hence, we presume that 1 can suppress the expression and the nuclear translocation of NF-κB p65 to induce stronger anti-inflammatory activity than that of 5.
In conclusion, both 1 and 5 can suppress immune response in LPS-induced RAW264.7 cells by blocking the NF-κB pathway and decreasing the production of COX-2 and iNOS. Finally, compounds 1 and 5 exhibited potential anti-inflammatory activities in vitro that were comparable to those of the positive control, DEX.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding authors.
Author Contributions
YZ, CQ, and YL designed and funded the study; QX, YQ, and ZZ performed the experiments and obtained and analyzed the data; YD, TC, and LT did the statistical analysis. QX participated in the purification of the compounds; JL performed the ECD calculations; and WS and YY provided some suggestions on the structural elucidation and pharmacological bioactivities evaluation. All authors discussed the results and wrote the manuscript.
Funding
This work was financially supported by the Program for Changjiang Scholars of the Ministry of Education of the People’s Republic of China (No. T2016088), the National Natural Science Foundation for Distinguished Young Scholars (No. 81725021), the National Science and Technology Project of China (No. 2018ZX09201001-001-003), Innovative Research Groups of the National Natural Science Foundation of China (No. 81721005), the National Natural Science Foundation of China (No. 82003633), the Academic Frontier Youth Team of HUST (2017QYTD19), the Integrated Innovative Team for the Major Human Diseases Program of Tongji Medical College (HUST), the Hubei Province Postdoctoral Innovation Research Fund to YQ (2020), and the Open Foundation of the Hubei Key Laboratory of Wudang Local Chinese Medicine Research (No. WDCM2019004).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
We acknowledge the Analytical and Testing Center at HUST for ECD, UV, and IR analyses.
Supplementary Material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2021.700573/full#supplementary-material
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Keywords: Aspergillus rugulosa, polyketides, anti-inflammatory, molecular docking, immunofluorescence
Citation: Xu Q, Qiao Y, Zhang Z, Deng Y, Chen T, Tao L, Xu Q, Liu J, Sun W, Ye Y, Lu Y, Qi C and Zhang Y (2021) New Polyketides With Anti-Inflammatory Activity From the Fungus Aspergillus rugulosa. Front. Pharmacol. 12:700573. doi: 10.3389/fphar.2021.700573
Received: 26 April 2021; Accepted: 26 May 2021;
Published: 21 June 2021.
Edited by:
Hongzhi Du, Hubei University of Chinese Medicine, ChinaReviewed by:
Ni Fan, The University of Hong Kong, Hong Kong, SAR ChinaGhulam Jilany Khan, University of Central Punjab, Pakistan
Copyright © 2021 Xu, Qiao, Zhang, Deng, Chen, Tao, Xu, Liu, Sun, Ye, Lu, Qi and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yonghui Zhang, zhangyh@mails.tjmu.edu.cn; Changxing Qi, qichangxing@hust.edu.cn; Yuanyuan Lu, Luyuanyuan@hust.edu.cn
†These authors contributed equally to this work.