| Literature DB >> 36135771 |
Malvi Surti1, Mitesh Patel2, Alya Redhwan3, Lamya Ahmed Al-Keridis4, Mohd Adnan5, Nawaf Alshammari5, Mandadi Narsimha Reddy1.
Abstract
Ilimaquinone (IQ), a metabolite found in marine sponges, has been reported to have a number of biological properties, including potential anticancer activity against colon cancer. However, no clear understanding of the precise mechanism involved is known. The aim of this study was to examine the molecular mechanism by which IQ acts on HCT-116 cells. The anticancer activity of IQ was investigated by means of a cell viability assay followed by the determination of induction of apoptosis by means of the use of acridine orange-ethidium bromide (AO/EB) staining, Annexin V/PI double staining, DNA fragmentation assays, and TUNEL assays. The mitochondrial membrane potential (ΔΨm) was detected using the JC-1 staining technique, and the apoptosis-associated proteins were analyzed using real-time qRT-PCR. A molecular docking study of IQ with apoptosis-associated proteins was also conducted in order to assess the interaction between IQ and them. Our results suggest that IQ significantly suppressed the viability of HCT-116 cells in a dose-dependent manner. Fluorescent microscopy, flow cytometry, DNA fragmentation and the TUNEL assay in treated cells demonstrated apoptotic death mode. As an additional confirmation of apoptosis, the increased level of caspase-3 and caspase-9 expression and the downregulation of Bcl-2 and mitochondrial dysfunction were observed in HCT-116 cells after treatment with IQ, which was accompanied by a decrease in mitochondrial membrane potential (ΔΨm). Overall, the results of our studies demonstrate that IQ could trigger mitochondria-mediated apoptosis as demonstrated by a decrease in ΔΨm, activation of caspase-9/-3, damage of DNA and a decrease in the proportion of Bcl-2 through the mitochondrial-mediated apoptosis pathway.Entities:
Keywords: HCT-116 cancer cell line; Ilimaquinone; apoptosis; colon cancer; marine sponge; mitochondrial-mediated apoptosis pathway
Year: 2022 PMID: 36135771 PMCID: PMC9503335 DOI: 10.3390/md20090582
Source DB: PubMed Journal: Mar Drugs ISSN: 1660-3397 Impact factor: 6.085
Figure 1(A) The chemical structure of Ilimaquinone. (B) Cytotoxic activity of IQ against HCT-116 cells. Error bars indicate the SD (standard deviation) of three independent experiments.
Figure 2Morphological analysis of HCT-116 cells under inverted microscope after treatment with different concentrations of IQ with morphological changes. (A) Untreated, (B) 1.25 µM, (C) 2.5 µM, (D) 5 µM, (E) 10 µM and (F) 20 µM.
Figure 3Fluorescence and bright-field microscopic studies of HCT-116 cells. (A–D) Untreated cells. (E–H) Cells exposed to IC50 of IQ for 24 h. For fluorescence microscopy, cells were stained using AO and EB.
Figure 4(A) Distribution of HCT-116 cells without treatment and treatment with IC50 concentration of IQ determined by Annexin V–PI apoptosis assay. (B) DNA fragmentation in treated HCT-116, Lane 1 (M): molecular marker, Lane 2 (C): control, Lane 3 (IQ): the cells treated with IQ (IC50), (C,D) DNA fragmentation in treated HCT-116 cells. Apoptotic intensity of HCT-116 cells was determined by flow cytometry after TUNEL assay. Shift of the population to the right in treated cells compared to control cells indicates the apoptotic cell population.
Figure 5Representative flow cytometry plots of effects of IQ on mitochondrial membrane potential (ΔΨm) determined by JC-1 staining method. (A) Untreated. (B) HCT-116 cells treated with IQ (IC50).
Figure 6Gene expression levels in HCT-116 cells treated with the IC50 concentration of IQ. The expression level of apoptosis-related genes was determined via quantitative real-time PCR. GAPDH was used as an internal control. Error bars indicate the SD (standard deviation) of three independent experiments.
Binding affinities of top-rated pose of ligand–receptor complex.
| Compound Name | 5I9B | 1CX2 | 2AR9 | 4S0O |
|---|---|---|---|---|
| Ilimaquinone | −6.9 | −8.9 | −8.1 | −8.2 |
Binding affinities of top-rated pose of ligand–receptor complex.
| Receptor–Ligand | Receptor–Ligand Interactions | Distance in Angstroms |
|---|---|---|
|
| (B:LYS272) HZ1-O (Ligand) | 2.50 |
| (B:LYS272) HZ3-O (Ligand) | 2.53 | |
| (B:LYS272) HZ3-O (Ligand) | 2.75 | |
| (B:LYS272) CE-O (Ligand) | 3.51 | |
| (A:GLU240) OE1-C (Ligand) | 3.64 | |
| (A:GLU240) OE1-Pi Anion interaction | 3.41 | |
| (A:LEU4) Alkyl–Alkyl interaction | 4.49 | |
| (B:ALA3) Alkyl–Alkyl interaction | 4.74 | |
| (B:ALA3) Alky–C Alkyl interaction | 3.94 | |
| (A:LEU4) Alkyl–C Alkyl interaction | 4.23 | |
| (A:LEU7) Alkyl–C Alkyl interaction | 3.99 | |
| (B:LEU7) Pi-Alkyl interection | 4.77 | |
|
| (ASN7) HD21-O (Ligand) | 2.56 |
| (ALA125) HN-O (Ligand) | 2.35 | |
| (PRO123) O-H (Ligand) | 1.67 | |
| (VAL124) CA-O (Ligand) | 3.57 | |
| (PRO123) Alkyl–Alkyl interaction | 5.22 | |
| (ALA125) Alkyl–Alkyl interaction | 4.27 | |
| (ALA125) Alkyl–C Alkyl interaction | 3.86 | |
| (MET16) Alkyl–C Alkyl interaction | 4.69 | |
| (TYR105) Pi-Alkyl interaction | 4.06 | |
| (CYS4) Pi-Alkyl interaction | 5.02 | |
| (PRO122) Pi-Alkyl interaction | 4.67 | |
|
| (ALA42) HN-O (Ligand) | 2.44 |
| (ALA42) HN-O | 2.25 | |
| (LEU47) HN-O | 2.27 | |
| (GLU41) CA-O | 3.61 | |
| (ALA42) CA-O | 3.57 | |
| (ALA46) CA-O | 3.54 | |
| (LEU45) O-C | 3.29 | |
| (ILE133) CD1 Pi Sigma interaction | 3.50 | |
| (ILE133) Alkyl–Alkyl interaction | 4.88 | |
| (LEU125) Alkyl–C Alkyl interaction | 4.78 | |
| (ILE33) Alkyl–C Alkyl interaction | 5.02 | |
| (ILE31) Alkyl–C Alkyl interaction | 3.90 | |
| (ALA46) Pi-Alkyl interaction | 4.47 | |
|
| (ARG207) NH1-Pi interaction | 4.41 |
| (CYS163) SG-Pi interaction | 3.70 | |
| (TRP206) Pi-Alkyl interaction | 5.06 | |
| (TRP206) Pi-C Alkyl interaction | 4.65 | |
| (PHE256) Pi-Alkyl interaction | 4.11 | |
| (PHE256) Pi-C Alkyl interaction | 3.87 |
Figure 7Visualization of the docking analysis of IQ binding with 4S0O. (A) Hydrophobicity surface 3D representation. (B) Interaction of IQ with 4S0O. (C) Visualization of hydrogen bond. (D) Visualization of hydrophobic interaction. (E) Two-dimensional representation describing the binding of IQ with an active site of 4S0O.
Figure 8Visualization of the docking analysis of IQ binding with 1CX2. (A) Interaction of IQ with 1CX2. (B) Close-up of interaction of IQ with 1CX2. (C) Visualization of hydrogen bond. (D) Visualization of hydrophobic interaction. (E) Two-dimensional representation describing the binding of IQ with an active site of 1CX2.
Figure 9Visualization of the docking analysis of IQ binding with 2AR9. (A) Interaction of IQ with 2AR9. (B) Close-up of interaction of IQ with 2AR9. (C) Visualization of hydrogen bond. (D) Visualization of hydrophobic interaction. (E) Two-dimensional representation describing the binding of IQ with an active site of 2AR9.
Figure 10Visualization of the docking analysis of IQ binding with 5I9B. (A) Hydrophobicity surface 3D representation. (B) Interaction of IQ with 5I9B. (C) Visualization of hydrogen bond. (D) Visualization of hydrophobic interaction. (E) Two-dimensional representation describing the binding of IQ with an active site of 5I9B.
Figure 11IQ induces HCT-116 cell apoptosis through the mitochondrial-related apoptosis pathway and activation of the caspase cascade.
Sequences of primers of apoptosis regulatory genes.
| Gene | Forward Primer | Reverse Primer |
|---|---|---|
| GAPDH | 5′ CATGGGGAAGGTGAAGGTCGA 3′ | 5′ TTGGCTCCCCCCTGCAAATGAG 3′ |
| Bcl-2 | 5′ TTCGATCAGGAAGGCTAGAGTT 3′ | 5′ TCGGTCTCCTAAAAGCAGGC 3′ |
| Caspase-3 | 5′ TGCGCTGCTCTGCCTTCT 3′ | 5′ CCATGGGTAGCAGCTCCTTC 3′ |
| Caspase-9 | 5′ CCAGAGATTCGCAAACCAGAGG 3′ | 5′ GAGCACCGACATCACCAAATCC 3′ |