Literature DB >> 31841506

Combination treatment of berberine and solid lipid curcumin particles increased cell death and inhibited PI3K/Akt/mTOR pathway of human cultured glioblastoma cells more effectively than did individual treatments.

Panchanan Maiti1,2,3,4,5, Alexandra Plemmons1, Gary L Dunbar1,2,3,4.   

Abstract

The treatment of glioblastoma is challenging for the clinician, due to its chemotherapeutic resistance. Recent findings suggest that targeting glioblastoma using anti-cancer natural polyphenols is a promising strategy. In this context, curcumin and berberine have been shown to have potent anti-cancer and anti-inflammatory effects against several malignancies. Due to the poor solubility and limited bioavailability, these compounds have limited efficacy for treating cancer. However, use of a formulation of curcumin with higher bioavailability or combining it with berberine as a co-treatment may be proving to be more efficacious against cancer. Recently, we demonstrated that solid lipid curcumin particles (SLCPs) provided more bioavailability and anti-cancer effects in cultured glioblastoma cells than did natural curcumin. Interestingly, a combination of curcumin and berberine has proven to be more effective in inhibiting growth and proliferation of cancer in the liver, breast, lung, bone and blood. However, the effect of combining these drugs for treating glioblastoma, especially with respect to its effect on activating the PI3K/Akt/mTOR pathways has not been studied. Therefore, we decided to assess the co-treatment effects of these drugs on two different glioblastoma cell lines (U-87MG and U-251MG) and neuroblastoma cell lines (SH-SY5Y) derived from human tissue. In this study, we compared single and combination (1:5) treatment of SLCP (20 μM) and berberine (100 μM) on measures of cell viability, cell death markers, levels of c-Myc and p53, along with biomarkers of the PI3K/Akt/mTOR pathways after 24-48 h of incubation. We found that co-treatment of SLCP and berberine produced more glioblastoma cell death, more DNA fragmentation, and significantly decreased ATP levels and reduced mitochondrial membrane potential than did single treatments in both glioblastoma cells lines. In addition, we observed that co-treatment inhibited the PI3K/Akt/mTOR pathway more efficiently than their single treatments. Our study suggests that combination treatments of SLCP and berberine may be a promising strategy to reduce or prevent glioblastoma growth in comparison to individual treatments using either compound.

Entities:  

Year:  2019        PMID: 31841506      PMCID: PMC6913937          DOI: 10.1371/journal.pone.0225660

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


1. Introduction

Glioblastoma (GB), or grade-IV astrocytoma, is one of the most aggressive and deadliest brain cancers, killing millions of people world-wide [1]. Patients often cannot survive more than 15–20 months following an initial diagnosis [1]. Current treatment strategies, including surgical removal of tumor, radiotherapy, and chemotherapies, or combinations of these therapies are unable to stop the progression of this disease. In this context, temozolomide (TMZ), a DNA-alkylating chemotherapeutic agent, has been used to treat GB for more than two decades. Although it does provide some modest survival benefits for GB patients [2-4], its propensity to trigger immunoresistance and neuroinflammation [5, 6] make it less attractive for treating GB patients. Therefore, alternative therapies that reduce neuroinflammation, as well as prevent or slow GB invasion and metastasis are necessary. One approach involves the use of natural polyphenols, such as curcumin (Cur) and berberine (BBR), which exhibit antiproliferation and anti-cancer properties in human malignancies. These compounds are being tested for their anti-cancer effects on a variety of cancer types, including GB [7-11]. Curcumin (Cur) is a yellow colored phytopolylphenol derived from the root of the herb Curcuma longa [12]. It inhibits tumor growth by suppressing cellular transformation, proliferation, invasion, angiogenesis, and metastasis [11, 13, 14]. Higher concentrations of Cur induces apoptosis in cancer cells [9, 15, 16] by increasing reactive oxygen species (ROS), inhibiting the PI3K/AKT/mTOR pathway and inhibiting NF-kB signaling in human neuroblastoma [8]. Cur also attenuates glioma growth by inhibiting the JAK1,2/STAT3 signaling pathway in a syngeneic mouse model [17]. Unfortunately, natural Cur has limited solubility and is unstable in physiological fluids, due to its hydrophobic and lipophilic nature, limiting its bio-availability. Recently, we and others have demonstrated that lipid-conjugation increases Cur solubility and bio-availability in cancer therapy [16, 18, 19]. Similarly, berberine (BBR), an isoquinoline alkaloid isolated from Berberis vulgaris L., has been used extensively in traditional Chinese medicine to treat diarrhea and diabetes. It exhibits anti-cancer activity in glioma [20], colorectal [21]-, lung [22] -, prostate [23]—and ovarian cancer [24], by inducing apoptotic cell death. Recently, Wang and colleagues reported that BBR induces autophagy in GB by targeting the AMPK/mTOR/ULK1-pathway [25]. In addition, Jin and colleagues reported that BBR inhibits angiogenesis in GB xenografts by targeting the vascular endothelial growth factor receptor-2 (VEGFR-2) and the extracellular receptor kinase (ERK) pathway [26]. Furthermore, Agnarelli and colleague also showed that berberine induced autophagy in U343 GB cells [27]. As the PI3K/Akt/mTOR signaling pathway plays a pivotal role in GB survival, inhibiting this pathway using anti-cancer natural polyphenols offers a viable strategy to prevent GB growth. Recently, we have shown that when using solid lipid curcumin particles (SLCPs), stronger anti-cancer effects and the greater inhibition of the PI3k/Akt/mTOR pathway in human GB cell were observed than when natural Cur was used [28]. Inhibition of GB growth requires a significant amount of free Cur, which is quite difficult to deliver to the cancer cells. Moreover, because of the solubility and bioavailability issues in both Cur and BBR, it is difficult to get sufficient levels of these compounds to induce significant GB cell death after their oral administration. Therefore, we hypothesized that co-treatment of Cur with BBR would enhance their anti-cancer effects. Recently, Wang and colleagues demonstrated the synergistic chemopreventive effects of Cur and BBR on human breast cancer cells through induction of apoptosis and autophagic cell death [29]. Similarly, Balakrishna and colleagues reported that co-treatment of Cur and BBR induced more cell death than did individual treatments on A549, Hep-G2, MCF-7, Jurkat, and K562 cell lines [30]. These findings provided us with a strong rationale to investigate the co-treatment of these two anti-cancer drugs to prevent GB growth and proliferation. The present study was designed to compare the combination of Cur and BBR treatments with single treatments of SLCP and BBR in two different GB cell lines derived from human tissue. We have investigated the cell viability, DNA fragmentation, cell death mechanism, mitochondrial dysfunction, ATP levels and the PI3K/Akt/mTOR signaling pathway. Our results suggest that the co-treatment of SLCP and BBR caused more cell death and inhibited the PI3K/Akt/mTOR pathway more efficiently than did either individual treatment.

2. Materials and methods

2.1. Chemicals

Berberine (catalog no: B3251-10G), MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium], propidium iodide (PI), ethidium bromide (EtBr), agarose, proteinase-K protease inhibitor cocktail (catalog no: P8340-5ML) and other accessory chemicals were procured from Sigma (St. Louis, MO). An in situ BrdU-Red DNA fragmentation assay kit (TUNEL staining kit, catalog no: ab66110) and Annexin-V staining kit (catalog no: ab176749) were purchased from Abcam (Cambridge, MA). Low melting agarose was from Invitrogen (Grand Island, NY; catalog no: 16520050). Cell-ROX® reagent and CyQUANT Cell Proliferation Assays Kits (catalog no: C35006) were from Molecular Probe (Grand Island, NY). Polyvinylidene difluoride (PVDF) membrane and ImmobilonTM Western Chemiluminescent HRP-substrate were from (Millipore, Bedford, MA). Hoechst 33342 trihydrochloride-trihydrate solution was purchased from ThermoFisher Scientific (Grand Island, NY). 4′,6-diamidino-2-phenylindole (DAPI) was from IHC-World (Ellicott City, MD). Tris-glycine gel (4–20%, catalog no: XP04200BOX) was from Invitrogen (Carlsbad, CA). Cell culture media, such as EMEM and DMEM: F12K were procured from the American Type Culture Collection (Manassas, VA). SLCPs, which contain 26% pure Cur, was gifted from Verdure Sciences (Noblesville, IN). These SLCPs consist of high-purity, long-chain phospholipid bilayer and a long-chain fatty acid solid lipid core, which coats the Cur. The SLCPs have been well characterized by us and others in collaboration with Verdure Sciences [31-35], including clinical studies in Alzheimer’s disease [36]. The U-87MG (catalog no: ATCC® HTB-14™), SH-SY5Y (catalog no: ATCC® CRL-2266™) and N2a (catalog no: ATCC® CCL-131™) were purchased from American Type Culture Collection (ATCC, Manassas, VA), whereas U-251MG cell line was purchased from European Collection of Authenticated Cell Cultures (ECACC, catalog no: 09063001).

2.2. Cell culture

Two GB cell lines (U-87MG and U-251MG) and two cortical neuronal cell lines (SH-SY5Y and N2a) were used in this study. Briefly, the U-87MG, U-251MG and N2a cells were grown with Eagle’s Minimum Essential Medium (EMEM) containing 10% heat-inactivated fetal bovine serum (FBS) and penicillin/streptomycin (pen/strep, 1μg/mL), whereas SH-SY5Y cells were grown in Dulbecco modified Eagles’ medium and F12K (DMEM:F12K, 1:1) along with 10% FBS and pen/strep, (1μg/mL). The cultures were maintained at 37°C in a humidified atmosphere at 5% CO2. For cell viability and cell death assays, the cells were grown in 96-well plates, whereas for immunohistochemistry (IHC) cells were grown on glass coverslips, with fresh EMEM or DMEM: F12K and antibiotics, but without growth factors, depending on the experimental setup. For Western blot techniques, cells were grown on 60-mm Petri plates in EMEM, or DMEM: F12K without growth factors.

2.3. Treatment of SLCP and Berberine

Because Cur and or BBR have greater solubility in methanol [28, 37], both were dissolved in pure methanol (100%) and then diluted in Hank’s balanced salt solution (HBSS) to obtain their desired concentration before being added to the 96-well plate, glass cover slips or Petri-dishes containing the cells. The final methanol concentration was <0.1%. After performing a dose response study, the final concentrations chosen were 20 μM for SLCP and 100 μM for BBR, whereas combination treatment of SLCP and BBR was 1:5 (20 μM +100 μM). All the cell lines were treated with these two drugs for 24–48 h for cell viability, cell death and for immunocytochemistry assays, whereas for Western blots, cells were treated for 24 h.

2.4. Cell viability by MTT assay

A cell viability test was performed using an MTT [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide] assay, as described previously [35, 38, 39]. The cells were treated with different concentrations of SLCP (in μM: 5, 10, 20 and 40) and BBR (in μM: 50, 100, 150 and 200) for 24 h. After standardization of toxicity levels, 20 μM of SLCP, and 100 μM of BBR and their combination (1:5) were used for all experiments with 24-h exposure. Based on the cell viability data, we observed that in the case of SLCP, after the concentration of SLCP was increased above 20 μM, we observed cell death. Similarly, for berberine, concentrations above 100 μM did not result in further cell death. Therefore, we decided to use 20 μM of SLCP and 100 μM of berberine (1:5). The optical density was measured at 570 nm using a Synergy plate reader (Bio-TEK instruments, Winooski, VT). The results of the five independent experiments (6 wells per condition) were normalized to the medium control group and expressed as mean ± SEM.

2.5. Cell Proliferation assay

Cell proliferation was assayed using a CyQUANT® NF Cell Proliferation Assay Kit to provide an accurate and simple measure of cell number. The assay is based on the incorporation of thymidine analogs, such as 3H thymidine or bromodeoxyuridine (BrdU) during DNA synthesis, or on measurement of metabolic activity indices, such as oxidoreductase activity or ATP levels. It measures the cellular DNA content via fluorescent dye binding, which is closely proportional to cell number. The protocol was followed as per the manufacturer’s instruction. Briefly, after plating the cells overnight in EMEM, treatments with SLCP, BBR or their combination were applied 24 h. On the next day, the growth medium was gentley aspirated, and 100 μL of 1X dye binding solution [22 μL of CyQUANT NF dye reagent (Component A) was added to 11 mL of 1X HBSS buffer], which, in turn, was added to each well and allowed to incubate for 60 minutes at 37°C in the dark. The fluorescence intensity was measured from each sample using a fluorescence microplate reader (Bio-TEK instruments, Winooski, VT) with excitation at ~485 nm and emission detection at ~530 nm. The mean fluorescent intensity (arbitrary unit, AU) from the three independent experiments (6 wells per condition) were normalized to the medium control group and expressed as mean ± SEM. In addition, cells were also imaged using a fluorescent microscope (Leica, Germany) with appropriate filters.

2.6. DNA fragmentation study by TUNEL staining

DNA fragmentation was performed using an In Situ BrdU-Red DNA Fragmentation (TUNEL) Assay Kit, as per manufacturer instructions [35, 38]. Briefly, U-87MG and U-251MG cells were grown on coverslips overnight in EMEM, without any growth factors, and were treated then with SLCP (20 μM), BBR (100 μM) or their combination (1-part SLCP to 5 parts BBR) for 48 h. Following treatment, the cells were fixed with 4% paraformaldehyde for 15 min, and then TUNEL staining was performed, as described previously [35, 38]. Finally, the cells were counter-stained with Hoechst 3342 or DAPI for 10 min at room temperature. Images were taken using a fluorescent microscope (Leica, Germany), with appropriate filters (excitation/emission: 488/576). The red fluorescent signal indicated TUNEL-positive cells. The number of total cells and TUNEL-positive cells were counted by two individual researchers and expressed as a percentage of TUNEL-positive cells. More than fifty microscopic fields were randomly selected for counting the number of TUNEL-positive cells from two independent experimental setups and these were used to obtain a mean value.

2.7. Annexin-V staining for apoptotic cell death

The Annexin-V staining was performed, as described previously [28, 35, 40]. Briefly, the U-87MG cells were treated with SLCP (20 μM), BBR (100 μM) or their combination (using this 1:5 ratio) for 24 h and then annexin-V-FITC staining was performed, along with counter-staining with Hoescst-3224 (1μg/ml) [35]. The total number of cells and the number of annexin-V-positive cells (green) were counted per microscopic field and expressed as a percentage of dead cells. Approximately 30 microscopic fields (~5000 total cells) from two independent experimental setups were used for counting.

2.8. Single-cell gel electrophoresis (SCGE) or comet assay

The comet assay was performed to measure the degree of DNA strand breaks, as described previously [41-43]. The detail protocol for SCGE was described by us previously [28].

2.9. JC-1 stain and confocal imaging

JC-1, a membrane permeable fluorescent dye which is widely used for monitoring mitochondrial health and cell death. It is considered as a good indicator of mitochondrial membrane potential (MMP) in neurons, as well as in intact tissues and isolated mitochondria. This dye accumulates in mitochondria with potential-dependent, which can be monitored by flow cytometry or by fluorescent microscopic imaging. JC-1 staining protocol was followed as per manufacture instruction. Briefly, U-87MG and U-251MG were grown overnight on poly-D-lysine coated glass cover slips in EMEM (1x105/ml) without growth factors. On the next day, the cells were treated with SLCP, BBR, and their combination (1-part SLCP to 5 parts BBR). After 24 h of the drug treatment, the media was discarded, the cells were washed with Dulbecco’s phosphate buffer saline (DPBS) and incubated with JC-1 dye (dissolved in DMSO, to a final concentration of 2 μM) at 37°C, in 5% CO2, for 15 to 30 minutes. The cells were washed in warm DPBS three times and then fixed with 4% paraformaldehyde solution for 10 min. After fixation, the cells were washed with PBS two times, followed by counter-staining with DAPI for 10 min at room temperature on a shaker in the dark. The cells were washed with distileed water and dehydrated, mounted, and visualized using a confocal laser scanning microscope with a 60x objective at three times optical zoom (total magnification: 1800x) using appropriate excitation/emission filters. Fifteen to twenty randomly selected microscopic images were randomly selected from each group of samples from three independent experiments and the number of clearly visible mitochondria (red dots) were counted manually from 10–15 cells in each group and expressed as mean ± SEM.

2.10. Detection of reactive oxygen species (ROS)

Intracellular accumulation of ROS was detected by 2'-7'-dichlorodihydrofluorescein diacetate (DCFH-DA), using a CellRox assay, as described previously [7, 28, 35, 44]. The presence of green fluorescent signal indicated ROS levels and use of CellROX dyes provided a conventional probe for measuring oxidative stress. Total fluorescent intensity (AU) of individual cells was measured using Image-J software (https://imagej.nih.gov/ij/), and at least 200–300 cells were randomly selected from two independent experiments to obtain a mean value.

2.11. Immunocytochemistry

Immunocytochemistry of anti-caspase-3, p53, and c-Myc were performed as described previously [28, 35].

2.12. DNA gel electrophoresis

DNA gel electrophoresis was performed to measure the DNA fragmentation, as described previously [28, 45].

2.13. Western blot

To investigate the different protein markers related to cell survival, cell death and other signaling pathways, Western blots were performed as described previously [28, 35]. Briefly, after the stipulated period of time for each experiment, the U-87MG and U-251MG cells were lysed with cold radioimmuno-precipitation assay (RIPA) buffer, along with protease inhibitor cocktail (Sigma). Equal amounts of protein were loaded in each lane and electrophoresed on 4–20% Tris-glycine gel and transferred to PVDF membrane. After probing with respective primary () and secondary antibodies, the blots were developed with ImmobilonTM Western Chemiluminescent HRP-substrate. The relative optical density (OD) was measured using Image-J software (https://imagej.nih.gov/ij/). To ensure equal protein loading in each lane, the blots were re-probed with either β-tubulin or GAPDH. The values were expressed as mean ± SEM from at least two independent experiments.

2.14. Statistical analysis

The measures for cell viability, cell death, immunofluorescent intensity, Western blots and other parameters were expressed as a mean ± SEM. The data were analyzed using one-way analysis of variance (ANOVA), followed by post-hoc Tukey HSD (honestly significant difference) tests (https://astatsa.com/OneWay_Anova_with_TukeyHSD). Probability ≤0.05 was considered as statistically significant.

3. Results

3.1. Combination treatment with SLCPs and BBR reduced cell viability more in U-87MG and U-251MG cells than either SLCP or BBR alone

To compare the cell death caused by SLCP + BBR and their single treatment, we performed an MTT reduction assay with different doses of SLCP (5-, 10-, 20- and 40- μM) and BBR (50-, 100-, 150- and 200- μM) and their combination (at the 1:5 ratio) for 24 h. We found that SLCP+BBR induced ~50% cell death, whereas SLCP induced ~32% cell death and BBR induced ~40% cell death after 24h in U-87MG cells (). In the case of U-251MG cells, cell death was 42% in the presence of SLCP+BBR, 25% in the presence of SLCP and 35% in the presence of BBR (). In contrast, we found ~10–15% reduction of cell viability in the case of N2a cells after co-treatment of SLCP (20 μM) and BBR (100 μM), and 19% cell death in the case of SLCP+BBR-treated SH-SY5Y cells (). In human neuroblastoma cells (SH-SY5Y), BBR (100 μM) caused a 10% increase in cell death and SLCP+BBR-treated cells showed 38% reduction of cell viability, without evidence of toxicity in the case of SLCP-treated SH-SY5Y cells ().

Morphology and cell viability in U-87MG, U-251MG, SHSY5Y and N2a cells after treatment with SLCP, BBR and SLCP+BBR.

U-87MG and U-251MG cells were grown in EMEM and treated with either SLCP (20 μM), BBR (100 μM) or their combination (in this 1:5 ratio) for 24 h, after which an MTT assay was performed. A: An increased number of pyknotic-like cells in both U-87MG and U-251MG cells were observed with SLCP, BBR and the combined (SLCP+BBR) treatment. B-C: Cell viability was decreased in both the cell lines in a dose-dependent manner after treatment with SLCP, BBR or SLCP + BBR. Note that the combination treatment showed decreased cell viability comparable to the higher doses of the individual treatments of SLCP and BBR. D-E: Cell viability was unaltered in the case of N2a (D) and SH-SY5Y cells after 24-h of SLCP and or BBR, although co-treatment caused a 40% increase in cell death in SH-SY5Y cells (E). Arrows indicate pyknotic cells. F: showing normal and pyknotic cells in higher magnification. Scale bar indicates 250 μm and is applicable to all images. *p<0.05 and ** p<0.01 in comparison to vehicle-treated cells.

3.2. Combination treatment of SLCP and BBR reduced cell proliferation in U-87MG and U-251MG cell lines more than their individual treatments

Cell proliferation assays were performed to provide an accurate and simple measure of cell number after treatment with different doses of SLCP, BBR or with SLCP+BBR (in a 1:5 ratio). The fluorescent intensity (arbitrary unit; AU) was significantly less in both SLCP-treated U-87MG cells (for 5 μM: 13.42%; 10 μM: 21.68%; 20 μM: 29.84%; 40 μM:32.48%); and BBR-treated U-87MG cells (50 μM: 1.76%; 100 μM:17.81%; 150 μM: 22.91%; and 200 μM: 24.25%) as compared to the vehicle treatment. Furthermore, fluorescent intensity was decreased by 32.47% (p<0.01) in SLCP+BBR (20 μM +100 μM)-treated U-87MG cells compared to the vehicle (). Similarly, the fluorescent intensity (AU) was significantly reduced in U-251MG cells in the case of SLCP- (for 5 μM: +4.20%; 10 μM: 19.29%; 20 μM: 46.19%; and 40 μM:49.96%) and BBR-(50 μM: 30.02%; 100 μM: 33.12%; 150 μM: 44.37%; and 200 μM: 56.15%) treated cells. Additionally, fluorescent intensity was decreased by 56.01% (p<0.01) in the SLCP+BBR- (20 μM +100 μM) treated U-87MG cells ().

Cell proliferation was decreased more by combination treatment of SLCP and BBR than individual treatments.

U-87MG and U-251MG cells were grown in EMEM and 1% pen/strep for 24 h and then treated with either SLCP (20 μM), or BBR (100 μM) or their combination for 24 h, after at which a cell proliferation assay was performed. A: Immunofluorescent signal was decreased in a dose-depend fashion in U-87Mg cells after reatment with SLCP and BBR. Note that combination treatment (right image) caused a greater decrease in the immunofluorescent signal than did the single treatment (p<0.01). B-C: Both U-87MG and U-251MG cells showed a significant decrease in immunofluorescent intensity (arbitrary unit) after treatment with SLCP and BBR. Scale bar indicates 250 μm and is applicable to all images. *p < .05 and ** p<0.01 in comparison to vehicle-treated cells.

3.3. Combination treatment of SLCP and BBR increased DNA fragmentation in U-87MG and U-251MG cell lines more than individual treatments

In situ BrdU-Red DNA fragmentation assays, also known as terminal deoxyribonucleic acid nick-end labeling (TUNEL), were performed to investigate the number of DNA fragmented cells after treatment with SLCP, or BBR, or their combination. We found an increased number of TUNEL-positive U-87MG cells in the case of SLCP-treated (22.30%; p<0.01) and BBR-treated cells (26%; p<0.01) in comparison to untreated cells after 24 h. Furthermore, SLCP+BBR-treated cells showed 47% (p<0.001) TUNEL-positive cells in U-87MG cells ().

More DNA fragmention of U-87MG and U-251 cells occurred after the combined SLCP and BBR therapy than by individual treatments.

U-87MG and U-251MG cells were grown in EMEM and they were treated with either SLCP (20 μM), BBR (100 μM) or their combination (in the 1:5 ratio) for 48 h. The cells were stained with terminal deoxyribonucleic acid nick end labeling (TUNEL) reagents for detecting DNA fragmented cells and counter-stained with Hoechst 33342. A fluorescent microscope (Leica Germany) was used to detect the signal with appropriate excitation/emission filters. A-B: Representative images of TUNEL/Hoechst 33342 stained U-87MG (A) and U-251MG (B) cells after treatment with SLCP, BBR or their combination. C-D: More TUNEL-positive cells were observed in combination-treated cells in both GB cell lines than for individual treatments. Arrows indicate TUNEL positive cells. Scale bars indicate 100 μm and is applicable to all images. *p<0.05 and ** p<0.01 and ***p<0.001 in comparison to vehicle-treated cells. Similar trends were observed in U-251MG cells. SLCP treatment showed a 32.45% (p<0.001) increase in TUNEL-positive cells, while BBR treatment caused a 24.70% (p<0.001) increase and SLCP+BBR produced a 38.86% (p<0.001) increase in TUNEL-positive cells after 48 h of treatment ().

3.4. Combination treatments of SLCP and BBR increased the amount of Annexin-V-positive labeling in U-87MG and U-251MG cells more than did individual treatments

We performed Annexin-V staining to quantify apoptotic cell death as a marker of increased efficacy of SLCP+BBR treatments as compared to the individual drug treatments. We observed an increased number of Annexin-V-positive U-87MG cells in the case of SLCP-treated (32.33%; p<0.001) and BBR-treated cells (34.06%; p<0.001) in comparison to untreated cells after 24 h, whereas SLCP+BBR-treated cells showed a 55.87% (p<0.001) increase in Annexin-V-positive U-87MG cells (). Similarly, in the case of U-251MG cells, SLCP treatments caused a 30.44% (p<0.001) increase in Annexin-V-positive labeling, while BBR produced a 31.06% (p<0.001) increase and SLCP+BBR treatments induced a 57.42% (p<0.001) Annexin-V-positive labeling after 24 h of treatments (). To corelate the cell death, we also performed LDH release assay in U-87MG cells after treatment with SLCP and or BBR or their combination for 48h. We observed that co-treatment of SLCP and BBR increased more cytotoxicity (307.07%) in comparison to SLCP (291.45%) and or BBR (237.29%) alone ().

Apoptotic death was greater in combination therapy with SLCP and BBR than their single treatments in both U-87MG and U-251 cells.

U-87MG and U-251MG cells were grown in EMEM and 1% pen/strep for 24 h, and then, the cells were treated with either SLCP (20 μM), BBR (100 μM) or combination (in a 1:5 ratio) for 24 h. The cells were stained with Annexin-V tagged with FITC for detecting apoptotic cell death and counter-stained with Hoechst-33342. Images were taken under a fluorescent microscope (Leica Germany) with appropriate excitation/emission filters. A-B: Representative images of Annexin-V/ Hoechst-33342-stained cells after treatment with SLCP or BBR or their combination for 24 h. C: More apoptotic cells were found in the combination-treated groups than in either the SLCP- or the BBR-treated cells. D: LDH release was increased in the combination-treated cells than those receiving individual treatments. Arrows indicate Annexin-V positive (apoptotic) cells. Scale bars indicate 100 μm and is applicable to all images. *p<0.05, ** p<0.01 and ***p<0.001.

3.5. Combination treatment of SLCP and BBR induced more comet-positive cells and increased nuclear lobe formation in U-87MG cells than than did individual treatmkents of either SLCP or BBR

DNA fragmentation is an important phenomenon observed in cell death and the comet assay is the gold standard method for quantifying the degree of DNA fragmentation in vitro. Significantly more comet-positive cells were observed in SLCP+BBR-treated cells after 24- and 48-h than in SLCP- or BBR-treated cells (SLCP: 34.00%; BBR: 37.88%; SLCP+BBR: 51.04%; p<0.001) (). All three treatments had more comet-positive cells in comparison to the vehicle-treated control U-87-MG cells (). A similar trend was observed after 48 h of drug treatment (SLCP: 43.21%; BBR: 41.22%; SLCP+BBR: 60.72%; p<0.001) (). Furthermore, to observe the nuclear morphology, we stained the cells with propidium iodide and Hoechst-33342. We observed a significant increase in the number of nuclear lobes in the SLCP+BBR-treated U-87MG cells than in SLCP- or BBR-treated cells after 48 h (p<0.05) (). In addition, we isolated the genomic DNA after the treatment of these drugs and observed smeared bands in drug-treated groups with ~1000-base-pair small DNA fragments in comparison to the vehicle-treated control U-87MG cells (). However, we did not observe any significant differences in DNA fragmented bands in either the co-treated and single drug-treated cells.

Comet assay and nuclear morphology in U-87MG cells after treatment with SLCP, BBR, or their combination.

U-87MG cells were grown in EMEM and 1% pen/strep for 24 h and then were treated with either BBR (100 μM), SLCP (20 μM) or their combination for 24–48 h. Cells were lysed in lysis solution and, run in an electrophoretic chamber for 30 min, at which point the fragmented DNA tail was stained with ethidium bromide. The images were taken from a fluorescence microscope (Leica, Germany) with the appropriate filters. A-B: Representative images and their analyses showed that combination treatment significantly increased the fragmented DNA tail (comet) more than observed with single treatments. Arrows indicate comet-positive cells. Scale bar indicates 100 μm. **p<0.01 and ***p<0.001. C-D: Nuclear morphology in U-87MG cells after treatment with SLCP or BBR or their combination. U-87MG cells were stained with propidium iodide and Hoechst 3342 and the images were taken with a fluorescence microscope (Leica Germany) using a 100x objective (total magnification 1000x). More nuclear lobes were observed in cells treated with both SLCP and BBR in comparison to those given single treatments. E: The gel electrophoresis image shows more DNA fragmentation in SLCP, BBR and their combination-treated group than in vehicle-treated cells. Arrows indicate fragmented nuclear lobe. Scale bars indicate 50- and 100 μm and are applicable to all images in their respective panels. **p<0.01 and ***p<0.001.

3.6. Combination treatment of SLCP and or BBR reduced mitochondrial markers and ATP levels in both GB cell lines more than did individual SLCP- or BBR-treatments

Decreases in mitochondrial membrane potential and ATP levels are critical signs of cell death. We measured mitochondrial health by staining both GB cell lines with JC-1, whereas ATP levels were measured by Glo-assays. We found significant decreases in the number of mitochondria (SLCP: 49.66%; BBR: 31.85%; SLCP+BBR: 75.87%) and the MMP in all the drug-treated cells, but a greater decrease was observed in the case of SLCP+BBR-treated groups (). In addition, we performed Glo-assays, in which the luminescent signal is directly proportional to the level of available cellular ATP levels. We observed that the luminescent intensity (AU) was relatively less in the case of SLCP+BBR-treated cells in comparison to SLCP- or BBR-treated U-87MG cells (luminescent/ATP levels: SLCP = 11.77%/11.89%; BBR = 36.81%/37.18% and SLCP+BBR = 90.57%/91.48%) (). Furthermore, in the case of U-251MG cells, the luminescence and ATP levels showed similar trends to what was observed in the U-87MG cells. However, the percent change was less in the case of U-251MG cells compared to U-87MG cells (luminescent/ATP levels: SLCP = 11.84%/12.76%; BBR = 15.72%/16.95%; and SLCP+BBR = 8.00%/40.95%) ().

Mitochondrial membrane potential and ATP levels were reduced more by combination therapy than by single treatments of SLCP or BBR in U-87MG and U-251MG cells.

U-87MG and U-251MG cells were grown in EMEM and 1% pen/strep for 24 h, and then, the cells were treated with either SLCP (20 μM) or BBR (100 μM) or their combination for 48 h at which point the cells were stained with JC-1 and images were taken using a confocal laser scanning microscope. A: Representative images showed a decrease in the number of mitochondria in SLCP- and BBR-treated cells, with combination treatments showing larger decreases. B: Higher magnification of U-87MG and U-251MG cells with JC-1 stain after treatment with SLCP, BBR or their combination. C-F: The Glo assay showed that there was a significantly lower luminescent signal and ATP levels in combination-treated U-87MG and U-251MG cells in comparison to their single-treated counterparts. Scale bars indicate 50 μm and are applicable to all images. *p<0.05 and **p<0.01 and ***p<0.001.

3.7. Reactive oxygen species (ROS) production was increased by combination of SLCP and BBR compared to individual treatments of SLCP or BBR

To investigate the cause of cell death after treatment with SLCP, BBR and their combination, we measured the ROS levels using the CellROX oxidative stress reagent. We observed that the ROS levels increased more in combination treatment of U-87MG cells as compared to individual treatment with SLCP or BBR (SLCP: 52.45%; BBR: 83.38%; and SLCP+BBR: 147.74%) (). Similar phenomena were observed in U-251MG cells (SLCP: 28.87%; BBR: 39.72%; and SLCP+BBR: 48.51%) (). However, the degree of ROS production was less in U-251MG cells.

Combination treatment of SLCP and BBR produced more ROS than did single treatments.

U-87MG and U-251MG cells were grown in EMEM and 1% pen/strep for 24 h and then treated with either SLCP (20 μM) or BBR (200 μM) or their combination for 48-h and leveled with CellROX reagent prior to counter-staining with propidium iodide. A-B: The images were taken using a confocal microscope (A) and a fluorescent microscope (B, Leica, Germany) with appropriate excitation/emission filters. The green fluorescent signal indicates ROS levels. C-D: Combination treatments increased ROS levels more than single treatments did. Scale bar indicates 50 μm and is applicable for all the images. *p<0.05, **p<0.01 and ***p<0.001.

3.8. Combination treatment increased cell death markers and reduced cell survival markers more than individual treatments with either SLCP or BBR

We studied the cell death and cell survival markers from U-87MG and U-251MG cells after treatment with SLCP, BBR and their combination, to investigate the cell death mechanism. Our Western blot data () revealed that there was a stronger effect of the combined SLCP and BBR treatment on the levels of Bax (), Cyt-c () and cleaved caspase-3 () in both U-87MG and U-251MG cells. In contrast, Bcl2 () levels were significantly lower (p<0.05) in SLCP+BBR-treated cells in comparison to individual treatments of SLCP or BBR. Similarly, immunofluorescence intensity of cleaved caspase-3 () in U-87MG cells showed a greater increase in active caspase-3 in the SLCP+BBR-treated (p<0.01) cells in comparison to SLCP- or BBR-treated cells (SLCP: 86.26%; BBR: 73.44%; and SLCP+BBR: 205.63%).

Combination treatment induced more cell death and decreased cell survival markers more than did single treatments.

A-F: Cell death markers, such as Bax, cytochrome-c and cleaved caspase-3 were significantly increased in SLCP + BBR-treatments in both U-87MG and U-251MG cells, relative to single-treatments of SLCP or BBR alone. Cell survival markers, such as Bcl2, were significantly reduced in SLCP+BBR-treated cells more than those by individual SLCP and BBR treatments. F-G: Immunocytochemistry of cleaved caspase-3 in U-87MG was significantly increased in SLCP+BBR-treated cells, relative to SLCP- or BBR-treated cells. Scale bar indicates 100 μm and is applicable to other images. *p<0.05, **p<0.01 and ***p<0.001.

3.9. p53 and c-Myc levels in U-87MG and U-251MG cells were modulated more by combination treatments than by single treatments

Western blot analysis from U-87MG cells revealed that c-Myc was significantly decreased by SLCP, BBR and SLCP+BBR treatment, but no significant differences were observed between treatment groups (). Although no major differences in c-Myc levels in U-251MG cells were observed, the p53 levels were significantly increased by SLCP+BBR-treated cells in U-87MG cells, in comparison to what was observed in SLCP or BBR-treated cells. In addition, our immunofluorescence data from U-87MG cells showed that c-Myc immunoreactivity was significantly decrease by SLCP+BBR-treated cells related to that in either SLCP- and or BBR-treated cells (SLCP: 23.95%; BBR: 40.52%; and SLCP+BBR: 58.25%) (. In addition, p53 immunoreactivity was significantly increased in cells given combination treatments, relative to their single-treatment counterparts (SLCP: 14.01%; BBR: 34.22%; and SLCP+BBR: 51.71%) ().

Combination treatments increased p53 and decreased c-Myc levels in U-87MG and U-251MG cells more than did single treatments.

A-C: Western blot data showed that SLCP+BBR increased p53 and decreased c-Myc levels significantly more in U-87MG and U-251MG cells, in comparison to single treatments. Similarly, immunofluorescence signals of c-Myc was decreased (D-E) and p53 was increased (F-G) more in SLCP+BBR-treated U-87MG cells than in SLCP- or BBR-treated cells. Scale bar indicates 100 μm and is applicable to other images. *p<0.05, **p<0.01 and ***p<0.001.

3.10. Combination treatment of SLCP and BBR inhibited the PI3K/Akt/mTOR pathway in U-87MG and U-251MG cell lines more efficiently than did single treatments

The PI3K/Akt/mTOR pathways play a pivotal role in GB growth and proliferation. Our Western blots analyses showed that p-Akt (In U-87MG cells: SLCP = 19.31%; BBR = 26.19%; and SLCP+BBR = 70.71% and for U-251MG cells: SLCP = 19.20%; BBR = 52.34%; and SLCP+BBR = 89.91%) and total Akt (In U-87MG cells: SLCP = 19.44%; BBR = 31.40%; and SLCP+BBR = 45.55% and for U-251 cells: SLCP = 27.76%; BBR = 18.66%; and SLCP+BBR = 33.63%) were significantly downregulated more for SLCP+BBR-treated cells than for SLCP- or BBR-treated cells (). Similarly, p-PI3Kp85 was significantly reduced in both the GB cell lines after treatment with SLCP or BBR. However, a greater decrease was noted in the case of co-treatment (in U-87MG cells: SLCP = 33.38%; BBR = 26.11%; and SLCP+BBR = 84.50% and for U-251MG cells: SLCP = 42.84%; BBR = 47.63%; SLCP+BBR = 42.04%). Total PI3Kp85 (in U-87MG cells: SLCP = 33.38%; BBR = 26.11%; and SLCP+BBR = 53.85%) was also reduced more in co-treated cells than in their single-treated in U-87MG cells. However, we did not observe such changes in the case of U-251MG cells (SLCP = 14.41%; BBR = 9.42%; and SLCP+BBR = 4.56%) (). In addition, we have also investigated the total mTOR and p-mTOR levels after treatments with SLCP or BBR and their combination. Our Western blot analysis showed that total mTOR levels were significantly decreased in SLCP+BBR-treated cells more than in their single treatment counterparts in both GB cell lines [in U-87MG cells: SLCP = 18.86%; BBR = 25.55%; and SLCP+BBR = 42.61% and for U-251 cells, in which SLCP (34.99%) and BBR (42.37%) showed increases, but SLCP+BBR did not (61.53%)] (). Similarly, we also observed more significant decreases in levels of p-mTOR after co-treatment than with either SLCP- or BBR-treatments in U-87MG cells (in U-87MG cells: and SLCP = 27.30%; BBR = 62.21%; SLCP + BBR = 73.42%). Although the mTOR levels were lower in SLCP- or BBR-treated or co-treated U-251MG cells in comparison to vehicle-treated cells, we did not observe differences between co-treatment and SLCP and or co-treatment and BBR-treated cells (SLCP = 21.12%; BBR = 54.77%; SLCP+BBR = 52.59%) ().

Combination treatment decreased PI3K/Akt/mTOR pathways more efficiently than SLCP or BBR treatments alone.

U-87MG and U-251MG cells were grown in EMEM and 1% pen/strep for 24 h and then the cells were treated with either SLCP (20 μM) or BBR (100 μM) or their combination (in this 1:5 ratio) for 24 h and then cells were extracted, and Western blots were performed and probed with different antibodies. A-F: Western blot data showed that SLCP+BBR inhibited the PI3K/Akt/mTOR pathways more efficiently than either SLCP- or BBR-treated cells. *p<0.05, **p<0.01 and ***p<0.001.

4. Discussion

Targeting glioblastoma using natural polyphenols is a promising strategy due to their anti-cancer and anti-inflammatory properties [46-48]. Curcumin (Cur) and berberine (BBR) have been shown to be potent anti-carcinogenic natural compounds for several types of cancer [17, 29, 49]. In the present study, we have compared the synergistic, anti-cancer effects of permeable, solid-lipid Cur particles (SLCP) and BBR on two different GB cell lines that were derived from human tissue (U-87MG and U-251MG). We found that co-treatment of SLCP and BBR induced more DNA fragmented cells, increased reactive oxygen species (ROS), induced mitochondrial dysfunction, reduced the number of mitochondria per cell, significantly declined of ATP levels, induced more cell death markers, increased apoptotic death and inhibited the PI3K/Akt/mTOR pathway more efficiently than either single treatment. Overall, our data demonstrated that the co-treatment of SLCP and BBR are more potent to kill cultured GB cells than either single treatment. The major limitation of FDA-approved chemotherapeutics, such as temozolomide (TMZ), in treating GB is that it induces neuroinflammation, and develops clinically significant toxicity [50]. In addition, GB becomes resistant to TMZ following its repeated use [51, 52]. To overcome these issues, the combined treatment of anti-cancer, as well as anti-inflammatory drugs could be a better candidate to prevent GB growth and proliferation. Recent experimental evidence suggest that natural anti-cancer agents could be used as a promising strategy to reduce inflammation, prevent tumor invasion and metastasis [46-48]. In this context, Cur and BBR have exhibited potent anti-cancer activities in several malignancies, including breast cancer [29], colon, and brain tumors [1, 25]. However, due to the poor solubility and less chemical stability in different body fluids, the anti-cancer capacity of either Cur [53] or BBR [54] as individual treatments is limited. We have been using a lipid formula of Cur (SLCP) to increase Cur stability and bioavailability [35, 55–57]. Recently, we have shown the greater anti-cancer activities and induction of autophagy by SLCP in cultured GB cells than what is observed with natural Cur [28, 58], reducing the amount of Cur needed to be effective [53]. Given the efficacy of both SLCP and BBR, especially when given together, in reducing other types of cancers, we hypothesized that the combination of SLCP and BBR would have similar additive effects against GB [29]. In this context, Liu and colleagues reported that BBR induces senescence of human GB cells by downregulating the EGFRMEKERK signaling pathway [59]. Similarly, the synergistic chemopreventive effects of Cur and BBR have been reported by Wang and colleagues on human breast cancer cells [29]. In addition, Balakrishna and colleagues also observed a synergetic anti-cancer activity of BBR and Cur on different cancer cells, such as liver, breast, lung, bone, glioma, and leukemia cell lines [25, 30]. Another study conducted by Yin and colleague reported that Cur sensitizes GB to TMZ by simultaneously generating ROS and disrupting AKT/mTOR signaling [7]. These findings prompted us to investigate the potential co-treatment effects of Cur and BBR against GB. In the present study, we have compared the mechanism of cell death by investigating the PI3K/Akt/mTOR pathway after single or co-treatment of SLCP and BBR in two different GB cell lines (U-87MG and U-251MG) derived from human tissue. We have performed several cell viability and cell death assays to confirm their synergistic anti-cancer effects. After performing dose-response studies with SLCP and BBR, we decided to use a one-parts of SLCP and five-parts of BBR for further experiments; because 20 μM of SLCP and 100 μM of BBR showed optimum cell death (). Further, to assess whether SLCP or BBR selectively induced GB cell death without affecting neuronal death, human neuroblastoma (SH-SY5Y) and mouse neuroblastoma (N2a) cells were treated with the same concentrations of SLCP (20 μM), and BBR (100 μM) and their combination (1:5 ratio). We observed only 5–10% cell death in both SLCP and or BBR treated cells, indicating Cur and BBR had a minimal effect on neuroblastoma. The co-treatment in N2a caused a 10–20% cell death (), whereas the co-treatment group in SH-SY5Y produced around 30–40% cells death, indicating combination treatment can have toxic effects on human neuroblastoma (), but in a different manner than observed in GB cell death, suggesting that the mechanisms are probably different as well [8, 60–62]. The cell viability (MTT assay) and cell death (LDH assay) data confirmed that co-treatment of SLCP and BBR has greater toxic effects on U-87MG and U-251MG cells () than either single treatment, as reported previously [29, 30]. In addition, we have also performed cell proliferation assays after separate and co-treatments of these drugs, and our results clearly show greater inhibition of cell proliferation in the case of co-treated cells (), indicating an additive effect of these drugs on GB proliferation, as reported by other investigators, using, in different cancer cells [29, 30]. To understand the type of cell death, we have performed TUNEL and Annexin-V staining, which identifies the DNA-fragmented cells and apoptotic death, respectively [63]. We found many more TUNEL-positive cells in the case of the co-treatment group in both U-87MG and U-251MG cells (), which correlated with our MTT, LDH, and cell proliferation assays data (Figs ). Further, to confirm the mode of cell death, we performed Annexin-V staining, and found more Annexin-V positive cells in the co-treatment group () for both lines of GB cells, which correlates with the TUNEL staining data (). We have used Annexin-V-FITC staining kit to detect apoptotic death which produce green fluorescent signal, whereas both BBR and SLCP treatment also might produce green fluorescent signal which could interefere with Annexin-V staining. Therefore, we imaged the cells exactly same way after treatment with BBR and SLCP. We observed a weak green signal produced by BBR and or SLCP (), however the green fluorescent signal produced by BBR and or SLCP was negligible in comparison to Annexin-V positive cells. Although Annexin-V with red fluorescen dye might be used to visualize apoptotic cells more efficiently than does Annexin-V-FITC after SLCP or BBR treatment. The current study also investigated the morphology of nuclei using three different dyes: propidium iodide (PI), Hoechst-33342 and DAPI; the number of fragmented nuclear lobes were counted. We found that the co-treatment group showed more nuclear lobe formation in comparison to SLCP- or BBR-treated cells after 24 h (), which, again, confirms that co-treatment induces greater nuclear damage than individual treatments of those drugs. Furthermore, we also performed comet assays, a gold standard for the studying the degree of DNA fragmentation in vitro [64]. More comet positive cells were observed in both GB cell lines in the case of the co-treatment group (, which correlated with the TUNEL staining data. These data, again, confirmed the greater induction of cell death by combination therapy than by individual SLCP or BBR treatments. Although we did not analyze the head and tail fluorescent intensity, fragmented DNA tail length and tail-moment length gave a full profile of the degree of DNA fragmentation after drug treatment. However, the number of comet-positive cells correlated with TUNEL-positive and with Annexin-V cells in both the GB cell lines. This indicates that the combination treatment is more efficient in damaging the DNA than what is observed with single treatments. In addition, we performed DNA gel electrophoresis after 24 h of SLCP and or BBR and their co-treatment in U-87MG cells. We observed smeary, fragmented DNA bands (), which confirmed that both the drugs induced DNA fragmentation in GB cells. Many events and signaling pathways are involved in DNA fragmentation and apoptosis following treatments with SLCP, BBR or their co-treatment (). One of the key events is mitochondrial damage. Due to its crucial role in cell death, mitochondrial damage has recently been characterized as the “motor of cell death”. We tried to correlate apoptosis with mitochondrial bioenergetic signaling following treatment with SLCP or BBR. For example, we have investigated mitochondrial health by performing JC-1 staining, an indicator of mitochondrial membrane potential (MMP) [65]. JC-1 is more specific for MMP and more consistent in its response to depolarization than classical mitochondrial dyes, such as DiOC6(3) and rhodamine 123 [66]. The ratio of green to red fluorescence of JC-1 depends on MMP and not on mitochondrial size, shape, and density [65]. Therefore, decrease in the red fluorescence signal indicated mitochondrial degeneration or cell death which we observed after treatment with SLCP and BBR (). Further, decreases in mitochondrial number () in the treatment groups indicate that these drugs exerted deleterious effects on mitochondrial survivability, suggesting overall poor health of the mitochondria. Similarly, we also performed Glo-assays, which measure the cellular ATP levels. We clearly observed a larger decrease in the number of mitochondria and mitochondrial function in the co-treatment groups (), in comparison to single treatments of SLCP or BBR, suggesting an additive deleterious effect on mitochondria. We also investigated the probable causes of mitochondrial degeneration and decreased levels of ATP after Cur and or BBR treatment. Increased levels of ROS is a major causative factor in cell death after treatment with anti-cancer drugs. Therefore, we measured the total ROS levels after treatment with SLCP, BBR, and their combination [7, 9], and we observed that co-treatment induced greater levels of ROS (). However, several biochemical techniques are available to detect different species of ROS. Increased levels of ROS involve releasing cell death markers from the mitochondria, such as what occurs when using apoptotic-inducing factor (AIF), Bax and Cyto-c; it also activates caspase-3 [67]. For example, we observed a significant upregulation of Bax, Cyt-c and active caspase-3 levels in co-treated GB cell lines, compared to what was observed following single treatments, suggesting that the combination treatment has stronger effects on cell death and mitochondrial degeneration. In contrast, downregulation of the Bcl2 protein by co-treatment was observed, relative to individual treatments with SLCP or BBR, suggesting combination treatment can induce more apoptotic cell death than single treatments, which is supported by the work of other investigators [29, 30]. Therefore, decreases MMP and ATP levels caused by SLCP or BBR treatment may be due to an increased generation of ROS, which could initiate DNA fragmentation and apoptotic death (). Tumor suppressor genes, such as p53, as well as oncogenes, such as c-Myc, play important roles in regulating GB development. Downregulation of p53 increases the susceptibility for tumor formation, whereas its upregulation can prevent tumor formation [68]. When we treated GB cells with SLCP or BBR, we observed an increase in levels of p53, indicating anti-tumor activity, whereas co-treatment further upregulated p53 levels, indicating an even stronger effect on this protein (). However, we observed levels of p53 in U-87MG cells were different from U-251MG cells. The discrepancy might be due to the way the total amount of protein was loaded. For example, in the case of U-251MG cells, the amount of loaded protein was one-third of the protein loaded by U-87MG cells. C-Myc is another oncogenic marker in cell [69], and its activation leads to the upregulation of many genes which are involved in cell proliferation and cancer development [69]. We found a significant decline of c-Myc levels in SLCP- and BBR-treated U-87MG cells () and their co-treatment decreased this level even more in the case of U-251MG cells (), which, again, confirms that co-treatment of SLCP and BBR has greater anti-proliferative and anti-carcinogenic effects than individual treatments. Previously, we reported an increase in p53 and decrease in c-Myc in cultured GB cells after treatment with natural Cur and SLCP (25 μM), which was confirmed by the present findings [55]. The mammalian target of rapamycin (mTOR), is a serine/threonine kinase of the PI3K (phosphoinositide 3-kinases)-related kinase family involve in cancer cell growth and cell survival [70]. These proteins have a strong links in the formation of the tumor microenvironment and drug resistance. Therefore, blocking this pathway can reduce proliferation, migration and survival of cancer cells [23]. Several natural compounds, such as BBR, resveratrol, Cur, quercetin and others, can modulate the mTOR pathway [49]. Vengoji and colleagues recently reported that BBR has anti-tumor effects through inhibition of the mTOR-signaling pathway and can induce senescence of human glioblastoma cells by downregulating the EGFRMEKERK signaling pathway [41]. In another study, Wang and colleagues reported that BBR induced autophagy by inhibiting the AMPK/mTOR/ULK1 (Unc-51-like-autophagy-activating kinase) pathway [25]. Similarly, glucose uptake is also reduced by BBR, via inhibition glucose transporter 1 (GluT1), lactate dehydrogenase-A (LDH-A), and hexokinase-2 (HK-2) expression, which induces apoptosis and thus inhibits tumor growth and invasiveness [25]. BBR can also induce autophagy by activation of Beclin-1 and inhibition of mTOR signaling by suppressing the activity of Akt and up-regulating that of P38-MAPK signaling [35,36]. Interestingly, synergistic anti-tumor activities of rapamycin and BBR have been observed in hepato-carcinoma cell lines [38]. Similarly, we and others have reported that Cur is a potent inhibitor for the PI3K/Akt/mTOR pathway in diverse types of cancers, including GB [28]. Therefore, we sought to further inhibit the PI3K/Akt/mTOR pathway by co-treatment of BBR and SLCP. Our Western blot data revealed that co-treatment of SLCP and BBR inhibited PI3K, Akt and mTOR and their phosphorylation levels more than their individual treatments (), suggesting that the co-treatment is more effective in blocking the PI3K/Akt/mTOR pathway and GB progression than using single treatments of these drugs. Although we found the synergistic anti-cancer effects of SLCP and BBR in cultured GB cell lines, the mechanistic details of GB growth, invasion, proliferation, malignancies, and metastasis in animal or human brain are much more complex than in GB cell culture models. Therefore, a more complete understanding of the mechanisms of both the individual and combined effects of SLCP- and BBR-induced GB cell death will require further experiments in animals to further confirm and optimize this therapeutic strategy prior to its clinical use.

Conclusions

Overall, we report that co-treatment of anti-cancer natural polyphenols, such as Cur and BBR, have higher inhibitory effects on GB growth and proliferation than do individual treatment. Both SLCP and BBR synergistically damage mitochondria and decreased ATP levels, along with inducing DNA fragmentation and apoptotic death in both GB cell lines than single treatment. The combination of SLCP and BBR increased ROS levels and induced cell-death markers greater than produced by single treatments with these drugs. Furthermore, co-treatment of SLCP and BBR effectively inhibited the PI3K/Akt/mTOR signaling pathway more than did treatments of SLCP or BBR alone. Taken together, our findings suggest that co-treatment of SLCP and BBR may be a promising therapy for GB.

Schematic diagram showing the mechanism of action of curcumin and or Berberine in GB cell death.

(TIF) Click here for additional data file.

Raw data for all gels and Western blots.

(PDF) Click here for additional data file.

Raw data for all data analyses.

(XLSX) Click here for additional data file.

All Western blot data for U-87MG cells.

(XLSX) Click here for additional data file.

All Western blot data for U-251MG cells.

(XLSX) Click here for additional data file. 27 Sep 2019 PONE-D-19-22431 Combination treatment of Berberine and solid lipid curcumin particles increased cell death and inhibited PI3K/Akt/mTOR pathway of human cultured glioblastoma cells more effectively than did individual treatments PLOS ONE Dear Dr. Maiti, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please address the reviewer's points. We would appreciate receiving your revised manuscript by Nov 11 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: On the whole, the work reported in the manuscript includes significant new results and represents an interesting contribution to the understanding of anti-tumor properties of natural compounds. Hence, I think that the results presented here have enough interest to be published in this Journal. However, I have a number of reservations and comments that need to be addressed before this manuscript can be accepted: I the issues I found in this context, as it follows below (the sentences/words of the manuscript are reported in italics”: -Firstly, the Authors should carefully check the text for inaccuracies and typing mistakes. -The Authors should report the statistical test they used to verify normality and omoschedasticity of data before applying ANOVA. -page 1 Title: berberine not Berberine -page 2: Abstract: In my opinion, the “synergistic effect” term has been used improperly and therefore should be replaced with “higher effect” or “lower effect”. Similarly, in all text synergy-derivative terms have to be corrected. In fact, a synergistic effect should be properly demonstrated and mathematically calculated (for example by using EC50). Abstract: “ascess” to be replaced with “assess”. -page 3 Introduction: “It exhibits anticancer activity in glioma, colorectal-, lung-, prostate- and ovarian cancer, by inducing apoptotic cell death (20)” I think that other specific references should be added to (20). Introduction: “Recently, Wang and colleagues reported that BBR induces autophagy in GB by targeting the AMPK/mTOR/ULK1-pathway (21).” A recent paper (Agnarelli et al., 2018 Scientific Reports) showed that berberine induced autophagy in U343 GB cells. For this reason, I would suggest to cite this reference in the text, as an example: "It has been demonstrated that BBR induces autophagy in different GB cell lines U87, U251, U343 (21; Agnarelli et al., 2018). In particular, Wang and colleagues reported that BBR induces autophagy in U87 and U251 cells by targeting the AMPK/mTOR/ULK1-pathway (21). Introduction: “Similarly, Jin and colleagues reported that BBR inhibits angiogenesis in GB xenografts”. I suggest to replace “Similarly” with “In addition”. -page 4 Introduction: “Recently, we have shown that by using solid lipid curcumin particles (SLCPs), stronger anti-cancer effects and inhibition of the PI3k/Akt/mTOR pathway in human GB cell were observed than when natural Cur was used [20]” In the text the Authors wrote:"we have shown" but the reference (20) is Meeran et al., (2008). -page 6 Materials and methods. 2.3: “whereas combination treatment of SLCP and BBR was 1:5 (20 μM + 100 μM).” The Authors should explain/comment why they choosed the combination with 1:5 ratio SLCP:BBR and analyzed the effects of this combination. -page 7 Materials and methods. 2.7: “The total number of cells and the number of annexin-V-positive cells (green) were counted per microscopic field and expressed as a percentage of dead cells.” As BBR emits fluorescent green light when appropriately excited, I suggest to use Annexin V red fluorescent staining in order to analyze apoptotic cell death. -page 7 Materials and methods. 2.9: In order to assess the impact of treatments on intracellular ROS level, I suggest to use a different method based on measurement of the fluorescence intensity using a Multilabel Plate Reader. -page 9 Results 3.3: “in U-87MG cells (Fig 2A and C)” have to be replaced with “in U-87MG cells (Fig. 3A and C)” -page 9 Results 3.3: “of their treatment (Fig 2A and C)” have to be replaced with “of their treatment (Fig. 3B and D)” -page 10-11 Results 3.6: “We measured MMP by staining both GB cell liness with JC-1” In my opinion, JC-1 should be used as a mitochondrial marker not as an MMP indicator (in fact the Authors did not show MMP measurements in Results). I suggest to use a biochemical method to measure a possible mitochondrial dysfunction. As a minor correction, “liness” have to be replaced with “lines”. -page 11 Results 3.6: (Graph D and F) have to be corrected with (Fig. 6D and F). -page 12 Results 3.9: The p53 pattern is composed of different size bands. In addition the p53 expression pattern observed in the two glioblastoma cell lines is different. The Authors should comment these observations. -page 13-19 Discussion, Fig. 11 and Conclusion have to be modified accordingly to suggestions. -Figure 1A Piknotic nuclei are not clearly visible. The authors should show higher magnified images in order to demostrate the presence of piknotic cells. -Figure 4D LDH-related results are not described in the text -Figure 5E Fig. 5E should be located below Fig. 5B -Figure 6A Fig. 6A is not clear. Does It contain mistakes? The markers names on the top of images are probably uncorrect. -Figure 8A The names of protein on the left of Fig. 8A have to be re-located. -lanes 181-182: The sentence “Notably, sample groups were found to be significantly different from the TNF-α-treated group (**p<0.01).” concerns only Fig. 4(a, b) not all Fig.4. Furthermore, the interpretation of the data is not clear enough from this sentence. -lane 376: “FACScan” replasce with “FACS can” -lanes 372-376: the Authors should indicate how many cells were counted for each sample. -lanes 425-426: the english form of the sentence “This effect was associated with the way that PRFR suppressed TNF-α and induced the expression of survival, proliferation and invasive proteins.” should be modify because its signifiance is not clear enough. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 6 Nov 2019 Response to reviewer (PONE-D-19-22431) Combination treatment of Berberine and solid lipid curcumin particles increased cell death and inhibited PI3K/Akt/mTOR pathway of human cultured glioblastoma cells more effectively than did individual treatments. Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Partly 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: On the whole, the work reported in the manuscript includes significant new results and represents an interesting contribution to the understanding of anti-tumor properties of natural compounds. Hence, I think that the results presented here have enough interest to be published in this Journal. However, I have a number of reservations and comments that need to be addressed before this manuscript can be accepted: I the issues I found in this context, as it follows below (the sentences/words of the manuscript are reported in italics”: Firstly, the Authors should carefully check the text for inaccuracies and typing mistakes. Response: We have carefully checked for typos and grammatical errors throughout the revised manuscript. -The Authors should report the statistical test they used to verify normality and homoschedasticity of data before applying ANOVA. Response: We have reanalyzed our data with SPSS which showed a normal distribution and homoscedasticity among the groups. Here we attached one normality and one homoscedasticity data for TUNEL staining for your review. TUNEL staining data for normality test Variable 1: Vehicle; Variable 2: SLCP; Variable 3: BBR; Variable 4: BBR+SLCP Below: Normality of Variable 2: SLCP and Variable 3: TUNEL staining data for Homoscedasticity test -page 1: Title: berberine not Berberine Response: This is corrected in the revised manuscript. Please see the revised title of the article. -page 2: Abstract: In my opinion, the “synergistic effect” term has been used improperly and therefore should be replaced with “higher effect” or “lower effect”. Similarly, in all text synergy-derivative terms have to be corrected. In fact, a synergistic effect should be properly demonstrated and mathematically calculated (for example by using EC50). Abstract: “ascess” to be replaced with “assess”. Response: We agree with the reviewer and changed the word “synergistic effect” to “higher effect” in the revised manuscript. Also, the typo error of the word “ascess” changed to “assess” in the revised manuscript. Please see page 2, line 13. -page 3: Introduction: “It exhibits anticancer activity in glioma, colorectal-, lung-, prostate- and ovarian cancer, by inducing apoptotic cell death (20)” I think that other specific references should be added to (20). Response: We have added the references of anticancer role of berberine against all the above types of cancers mentioned in the revised manuscript. Please see the page number 3, para 2 in the revised manuscript. Introduction: “Recently, Wang and colleagues reported that BBR induces autophagy in GB by targeting the AMPK/mTOR/ULK1-pathway (21).” A recent paper (Agnarelli et al., 2018 Scientific Reports) showed that berberine induced autophagy in U343 GB cells. For this reason, I would suggest to cite this reference in the text, as an example: "It has been demonstrated that BBR induces autophagy in different GB cell lines U87, U251, U343 (21; Agnarelli et al., 2018). In particular, Wang and colleagues reported that BBR induces autophagy in U87 and U251 cells by targeting the AMPK/mTOR/ULK1-pathway (21). Response: We thank the reviewer for this helpful suggestion. We have added this reference; please see reference 28 in the revised manuscript. Introduction: “Similarly, Jin and colleagues reported that BBR inhibits angiogenesis in GB xenografts”. I suggest to replace “Similarly” with “In addition”. Response: This is corrected, please see page 3, para 2. -page 4: Introduction: “Recently, we have shown that by using solid lipid curcumin particles (SLCPs), stronger anti-cancer effects and inhibition of the PI3k/Akt/mTOR pathway in human GB cell were observed than when natural Cur was used [20]” In the text the Authors wrote: "we have shown" but the reference (20) is Meeran et al., (2008). Response: We apologize for the wrong reference. We have added our recent published work, please see the revised reference 29. -page 6: Materials and methods. 2.3: “whereas combination treatment of SLCP and BBR was 1:5 (20 μM + 100 μM).” The Authors should explain/comment why they choosed the combination with 1:5 ratio SLCP: BBR and analyzed the effects of this combination. Response: We have added the description of the dose-response study we conducted for both berberine and solid lipid curcumin particles (SLCP). Based on the cell viability data we observed that in the case of SLCP after increase the concentration of SLCP above 20 µM, we did achieve more cell death. Similarly, phenomenon was observed in the case of berberine above 100 µM concentration. Therefore, we decided to use 20 µM of SLCP and 100 µM of berberine (1:5). These sentences are added in the revised manuscript, please see page 6, para 2. -page 7: Materials and methods. 2.7: “The total number of cells and the number of annexin-V-positive cells (green) were counted per microscopic field and expressed as a percentage of dead cells.” As BBR emits fluorescent green light when appropriately excited, I suggest using Annexin V red fluorescent staining in order to analyze apoptotic cell death. Response: We agree with reviewer, however, the green fluorescent emitted by berberine or Cur or their cotreatment was significantly lower when compared with the signal produced by Annexin-V positive cells. We have added the images after treatment with vehicle, SLCP, BBR and SLCP+BBR in Fig 4E in the revised manuscript and also added these sentences in the revised manuscript “We have used Annexin-V-FITC staining kit to detect apoptotic death which produce green fluorescent signal, whereas both BBR and SLCP treatment also might produce green fluorescent signal which could interfere with Annexin-V staining. Therefore, we imaged the cells exactly same way after treatment with BBR and SLCP. We observed a weak green signal produced by BBR and or SLCP (Fig 4E), however the green fluorescent signal produced by BBR and or SLCP was negligible in comparison to Annexin-V positive cells. Although Annexin-V with red fluorescent dye might be used to visualize apoptotic cells more efficiently than does Annexin-V-FITC after SLCP or BBR treatment”. Please see page 16, para 2 in the revised manuscript. -page 7: Materials and methods. 2.9: In order to assess the impact of treatments on intracellular ROS level, I suggest using a different method based on measurement of the fluorescence intensity using a Multilabel Plate Reader. Response: We agree reviewer that there are other biochemical methods available to detect ROS levels. However, using this technique, we have reported increases in ROS levels after treatment with Curcumin, previously. Please see Ref 29 and 56. -page 9: Results 3.3: “in U-87MG cells (Fig 2A and C)” have to be replaced with “in U-87MG cells (Fig. 3A and C)” -page 9: Results 3.3: “of their treatment (Fig 2A and C)” have to be replaced with “of their treatment (Fig. 3B and D)” Response: These are corrected. Please see page 10, section 3.3 in the revised manuscript. -page 10-11: Results 3.6: “We measured MMP by staining both GB cell liness with JC-1”. In my opinion, JC-1 should be used as a mitochondrial marker not as an MMP indicator (in fact the Authors did not show MMP measurements in Results). I suggest to use a biochemical method to measure a possible mitochondrial dysfunction. Response: We agree with reviewer that biochemical method can be applied to measure MMP, however, the membrane-permeant JC-1 dye is widely used by many researchers in monitoring the mitochondrial health, especially investigating different types of cell death, including apoptosis. Therefore, JC-1 can be used as an indicator for mitochondrial health, rather than a measure of mitochondrial membrane potential. We have corrected the term “MMP” to “mitochondrial health” in the revised manuscript. As a minor correction, “liness” have to be replaced with “lines”. Response: This is corrected. Please see page 5, section 2.2 in the revised manuscript. -page 11: Results 3.6: (Graph D and F) have to be corrected with (Fig. 6D and F). Response: This is corrected. Please see revised Fig 6, please see page 12, para 2 in the revised manuscript. -page 12: Results 3.9: The p53 pattern is composed of different size bands. In addition, the p53 expression pattern observed in the two glioblastoma cell lines is different. The Authors should comment these observations. Response: We have corrected the p53 blots in the revised manuscript. Please see revised Fig 9 -page 13-19: Discussion, Fig. 11 and Conclusion have to be modified accordingly to suggestions. Response: We renamed Fig 11 to Schematic diagram-1 in the revised manuscript. The discussion and conclusions are rewritten in the revised manuscript. Please see page 16 and 18 -Figure 1A: Pyknotic nuclei are not clearly visible. The authors should show higher magnified images in order to demonstrate the presence of pyknotic cells. Response: We agree with reviewer. We produced higher magnified image for pyknotic cells. Please see revised Fig 1F. -Figure 4D: LDH-related results are not described in the text. Response: We apologize for our mistake. We have added a description about the finding of our LDH release assay in page 11, para 1, line 11. -Figure 5E: Fig. 5E should be located below Fig. 5B Response: We rearranged Fig 5. Please see revised Fig 5. -Figure 6A: Fig. 6A is not clear. Does It contain mistakes? The markers names on the top of images are probably incorrect. Response: Yes, it was our mistake. We corrected this figure in the revised manuscript. Please see revised Fig 6A. -Figure 8A: The names of protein on the left of Fig. 8A have to be re-located. Response: We rearranged the Fig 8A. Please see revised Fig 8A. Submitted filename: Response to reviewer.docx Click here for additional data file. 11 Nov 2019 Combination treatment of berberine and solid lipid curcumin particles increased cell death and inhibited PI3K/Akt/mTOR pathway of human cultured glioblastoma cells more effectively than did individual treatments PONE-D-19-22431R1 Dear Dr. Maiti, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Ferenc Gallyas, Jr., Ph.D., D.Sc. Section Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The authors addressed my suggestions. I believe that this manuscript is acceptable for publication in PLOS ONE Journal. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No 27 Nov 2019 PONE-D-19-22431R1 Combination treatment of berberine and solid lipid curcumin particles increased cell death and inhibited PI3K/Akt/mTOR pathway of human cultured glioblastoma cells more effectively than did individual treatments Dear Dr. Maiti: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Ferenc Gallyas, Jr. Section Editor PLOS ONE
Table 1

Sources of different antibodies used in this study.

AntibodiesSourceTypeCompanyCatalog no.Address
BaxRabbitPolyclonalCell signaling Technology2772SDanvers, MA
Bcl-2MouseMonoclonalSanta Cruz BiotechSc-7382Santa Cruz, CA
Cyt-cRabbitMonoclonalCell Signaling Technology4272SDanvers, MA
Caspase-3RabbitMonoclonalCell Signaling Technology9661SDanvers, MA
p53RabbitPolyclonalCell signaling Technology9282Danvers, MA
c-MycRabbitPolyclonalCell signaling Technology9402Danvers, MA
AktRabbitMonoclonalCell signaling Technology9272SDanvers, MA
pAkt (Ser473)RabbitMonoclonalCell signaling Technology4060SDanvers, MA
PI3Kp85RabbitPolyclonalCell signaling Technology4292SDanvers, MA
p-PI3Kp85(Tyr458)/p55 (Tyr199RabbitPolyclonalCell signaling Technology4228SDanvers, MA
mTORRabbitPolyclonalCell signaling Technology2972SDanvers, MA
p-mTORRabbitMonoclonalCell signaling Technology2971SDanvers, MA
GAPDHRabbitMonoclonalCell signaling Technology2118SDanvers, MA
β-tubulinRabbitMonoclonalCell signaling Technology2146SDanvers, MA
  68 in total

1.  Analysis of DNA fragmentation using agarose gel electrophoresis.

Authors:  Shailaja Kasibhatla; Gustavo P Amarante-Mendes; Deborah Finucane; Thomas Brunner; Ella Bossy-Wetzel; Douglas R Green
Journal:  CSH Protoc       Date:  2006-06-01

2.  Despite its role in assembly, methionine 35 is not necessary for amyloid beta-protein toxicity.

Authors:  Panchanan Maiti; Aleksey Lomakin; George B Benedek; Gal Bitan
Journal:  J Neurochem       Date:  2010-03-20       Impact factor: 5.372

3.  A comparative study of dietary curcumin, nanocurcumin, and other classical amyloid-binding dyes for labeling and imaging of amyloid plaques in brain tissue of 5×-familial Alzheimer's disease mice.

Authors:  Panchanan Maiti; Tia C Hall; Leela Paladugu; Nivya Kolli; Cameron Learman; Julien Rossignol; Gary L Dunbar
Journal:  Histochem Cell Biol       Date:  2016-07-12       Impact factor: 4.304

Review 4.  Multitargeting by curcumin as revealed by molecular interaction studies.

Authors:  Subash C Gupta; Sahdeo Prasad; Ji Hye Kim; Sridevi Patchva; Lauren J Webb; Indira K Priyadarsini; Bharat B Aggarwal
Journal:  Nat Prod Rep       Date:  2011-10-06       Impact factor: 13.423

5.  Mutations in the p53 Tumor Suppressor Gene: Important Milestones at the Various Steps of Tumorigenesis.

Authors:  Noa Rivlin; Ran Brosh; Moshe Oren; Varda Rotter
Journal:  Genes Cancer       Date:  2011-04

6.  Curcumin sensitizes glioblastoma to temozolomide by simultaneously generating ROS and disrupting AKT/mTOR signaling.

Authors:  Haitao Yin; Yun Zhou; Cuixia Wen; Chong Zhou; Wei Zhang; Xiang Hu; Lifeng Wang; Chuanwen You; Junfei Shao
Journal:  Oncol Rep       Date:  2014-07-18       Impact factor: 3.906

7.  Curcumin suppresses growth and chemoresistance of human glioblastoma cells via AP-1 and NFkappaB transcription factors.

Authors:  Krishnan M Dhandapani; Virendra B Mahesh; Darrell W Brann
Journal:  J Neurochem       Date:  2007-07       Impact factor: 5.372

8.  Survival following surgery and prognostic factors for recently diagnosed malignant glioma: data from the Glioma Outcomes Project.

Authors:  Edward R Laws; Ian F Parney; Wei Huang; Fred Anderson; Angel M Morris; Anthony Asher; Kevin O Lillehei; Mark Bernstein; Henry Brem; Andrew Sloan; Mitchel S Berger; Susan Chang
Journal:  J Neurosurg       Date:  2003-09       Impact factor: 5.115

9.  Curcumin decreases malignant characteristics of glioblastoma stem cells via induction of reactive oxygen species.

Authors:  Zachary C Gersey; Gregor A Rodriguez; Eric Barbarite; Anthony Sanchez; Winston M Walters; Kelechi C Ohaeto; Ricardo J Komotar; Regina M Graham
Journal:  BMC Cancer       Date:  2017-02-04       Impact factor: 4.430

Review 10.  Natural products: a hope for glioblastoma patients.

Authors:  Raghupathy Vengoji; Muzafar A Macha; Surinder K Batra; Nicole A Shonka
Journal:  Oncotarget       Date:  2018-04-24
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  12 in total

1.  Ratiometric Delivery of Mitoxantrone and Berberine Co-encapsulated Liposomes to Improve Antitumor Efficiency and Decrease Cardiac Toxicity.

Authors:  Zimeng Yang; Liwen Zhao; Xue Wang; Zhonggui He; Yongjun Wang
Journal:  AAPS PharmSciTech       Date:  2021-01-13       Impact factor: 3.246

Review 2.  The multifaceted NF-kB: are there still prospects of its inhibition for clinical intervention in pediatric central nervous system tumors?

Authors:  Mariana Medeiros; Marina Ferreira Candido; Elvis Terci Valera; María Sol Brassesco
Journal:  Cell Mol Life Sci       Date:  2021-07-31       Impact factor: 9.261

3.  Curcumin induces apoptosis and inhibits the growth of adrenocortical carcinoma: Identification of potential candidate genes and pathways by transcriptome analysis.

Authors:  Xuemei Huang; Chunfeng Liang; Haiyan Yang; Xin Li; Xiujun Deng; Xinghuan Liang; Li Li; Zhenxing Huang; Decheng Lu; Yan Ma; Zuojie Luo
Journal:  Oncol Lett       Date:  2021-04-15       Impact factor: 2.967

4.  Berberine Improves Chemo-Sensitivity to Cisplatin by Enhancing Cell Apoptosis and Repressing PI3K/AKT/mTOR Signaling Pathway in Gastric Cancer.

Authors:  Yingying Kou; Bending Tong; Weiqing Wu; Xiangqing Liao; Min Zhao
Journal:  Front Pharmacol       Date:  2020-12-09       Impact factor: 5.810

5.  Berberine exerts its antineoplastic effects by reversing the Warburg effect via downregulation of the Akt/mTOR/GLUT1 signaling pathway.

Authors:  Xiao-Hong Guo; Shui-Shan Jiang; Li-Li Zhang; Jun Hu; Dilda Edelbek; Yu-Qi Feng; Zi-Xian Yang; Peng-Chao Hu; Hua Zhong; Guo-Hua Yang; Fang Yang
Journal:  Oncol Rep       Date:  2021-10-13       Impact factor: 3.906

6.  Curcumin Loaded Dendrimers Specifically Reduce Viability of Glioblastoma Cell Lines.

Authors:  John Gallien; Bhairavi Srinageshwar; Kellie Gallo; Gretchen Holtgrefe; Sindhuja Koneru; Paulina Sequeiros Otero; Catalina Alvarez Bueno; Jamie Mosher; Alison Roh; D Stave Kohtz; Douglas Swanson; Ajit Sharma; Gary Dunbar; Julien Rossignol
Journal:  Molecules       Date:  2021-10-06       Impact factor: 4.927

Review 7.  Natural Compounds in Glioblastoma Therapy: Preclinical Insights, Mechanistic Pathways, and Outlook.

Authors:  Kevin Zhai; Manaal Siddiqui; Basma Abdellatif; Alena Liskova; Peter Kubatka; Dietrich Büsselberg
Journal:  Cancers (Basel)       Date:  2021-05-12       Impact factor: 6.639

Review 8.  Biological Activity of Berberine-A Summary Update.

Authors:  Anna Och; Rafał Podgórski; Renata Nowak
Journal:  Toxins (Basel)       Date:  2020-11-12       Impact factor: 4.546

Review 9.  Beta-Blockers and Berberine: A Possible Dual Approach to Contrast Neuroblastoma Growth and Progression.

Authors:  Maura Calvani; Angela Subbiani; Gennaro Bruno; Claudio Favre
Journal:  Oxid Med Cell Longev       Date:  2020-08-12       Impact factor: 6.543

Review 10.  Curcumin's Beneficial Effects on Neuroblastoma: Mechanisms, Challenges, and Potential Solutions.

Authors:  Kevin Zhai; Aranka Brockmüller; Peter Kubatka; Mehdi Shakibaei; Dietrich Büsselberg
Journal:  Biomolecules       Date:  2020-10-22
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