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Huang C, Deng W, Xu HZ, Zhou C, Zhang F, Chen J, Bao Q, Zhou X, Liu M, Li J, Liu C. Short-chain fatty acids reprogram metabolic profiles with the induction of reactive oxygen species production in human colorectal adenocarcinoma cells. Comput Struct Biotechnol J 2023; 21:1606-1620. [PMID: 36874158 PMCID: PMC9975252 DOI: 10.1016/j.csbj.2023.02.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 02/15/2023] Open
Abstract
Short-chain fatty acids (SCFAs) exhibit anticancer activity in cellular and animal models of colon cancer. Acetate, propionate, and butyrate are the three major SCFAs produced from dietary fiber by gut microbiota fermentation and have beneficial effects on human health. Most previous studies on the antitumor mechanisms of SCFAs have focused on specific metabolites or genes involved in antitumor pathways, such as reactive oxygen species (ROS) biosynthesis. In this study, we performed a systematic and unbiased analysis of the effects of acetate, propionate, and butyrate on ROS levels and metabolic and transcriptomic signatures at physiological concentrations in human colorectal adenocarcinoma cells. We observed significantly elevated levels of ROS in the treated cells. Furthermore, significantly regulated signatures were involved in overlapping pathways at metabolic and transcriptomic levels, including ROS response and metabolism, fatty acid transport and metabolism, glucose response and metabolism, mitochondrial transport and respiratory chain complex, one-carbon metabolism, amino acid transport and metabolism, and glutaminolysis, which are directly or indirectly linked to ROS production. Additionally, metabolic and transcriptomic regulation occurred in a SCFAs types-dependent manner, with an increasing degree from acetate to propionate and then to butyrate. This study provides a comprehensive analysis of how SCFAs induce ROS production and modulate metabolic and transcriptomic levels in colon cancer cells, which is vital for understanding the mechanisms of the effects of SCFAs on antitumor activity in colon cancer.
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Key Words
- 1H–13C HMBC, 1H–13C Heteronuclear Multiple Bond Correlation Spectroscopy
- 1H–13C HSQC, 1H–13C Heteronuclear Single Quantum Coherence Spectroscopy
- 1H–1H COSY, 1H–1H Correlation Spectroscopy
- 1H–1H TOCSY, 1H–1H Total Correlation Spectroscopy
- ADP, Adenosine diphosphate
- AMP, Adenosine monophosphate
- ATP, Adenosine triphosphate
- Ace, Acetate
- Ach, Acetylcholine
- Ala, Alanine
- CRC, Colorectal Cancer
- Caco-2, Human Colon Adenocarcinoma
- Cho, Choline
- CoA, Coenzyme A
- Cre, Creatine
- DCFH-DA, Dichloro-Dihydro-Fluorescein Diacetate
- DEGs, Differentially Expressed Genes
- DMEM, Dulbecco's Modified Eagle Medium
- DMG, Dimethylglycine
- DNA, Deoxyribonucleic Acid
- EP, Eppendorf
- FA, Formate
- FDR, False Discovery Rate
- Fru, Fructose
- Fum, Fumaric acid
- GLS, Glutaminase
- GSEA, Gene Set Enrichment Analysis
- GSH, Glutathione
- Gal-1-P, Galactose-1-phosphate
- Glc, Glucose
- Gln, Glutamine
- Glu, Glutamate
- Gly, Glycine
- HCT116, Human Colorectal Carcinoma Cell Line
- HEK, Human Embryonic Kidney cells
- HT29, Human Colorectal Adenocarcinoma Cell Line with Epithelial Morphology
- His, Histidine
- Ile, Isoleucine
- J-Res, J-resolved Spectroscopy
- LDH, Lactate Dehydrogenase
- Lac, Lactate
- Leu, Leucine
- Lys, Lysine
- MCF-7, Human Breast Cancer Cell Line with Estrogen
- MCT, Monocarboxylate Transporters
- Met, Methionine
- MetS, Metabolic Syndrome
- Mitochondrial function
- NAD+, Nicotinamide adenine dinucleotide
- NAG, N-Acetyl-L-Glutamine
- NMR, Nuclear Magnetic Resonance
- NMR-based Metabolomics
- NOESY, Nuclear Overhauser Effect Spectroscopy
- O-PLS-DA, Orthogonal Projection to the Latent Structures Discriminant Analysis
- PA, Pantothenate
- PC, Phosphocholine
- PCA, Principal Component Analysis
- PDC, Pyruvate Decarboxylase
- PDK, Pyruvate Dehydrogenase Kinase
- PKC, Protein Kinase C
- PPP, Pentose Phosphate Pathway
- Phe, Phenylalanine
- Pyr, Pyruvate
- RNA, Ribonucleic Acid
- ROS, Reactive Oxygen Species
- RPKM, Reads per Kilobase of Transcript per Million Reads Mapped
- Reactive oxygen species
- SCFAs, Short Chain Fatty Acids
- SLC, Solute-Carrier Genes
- Short-chain fatty acids
- Suc, Succinate
- T2DM, Type 2 Diabetes
- TCA, Tricarboxylic Acid
- Tau, Taurine
- Thr, Threonine
- Transcriptomics
- Tyr, Tyrosine
- UDP, Uridine 5′-diphosphate
- UDP-GLC, UDP Glucose
- UDPG, UDP Glucuronate
- UDPGs, UDP Glucose and UDP Glucuronate
- UMP, Uridine 5′-monophosphate
- Val, Valine
- WST-1, Water-Soluble Tetrazolium salts
- dDNP, dissolution Dynamic Nuclear Polarization
- qRT-PCR, Real-Time Quantitative Reverse Transcription Polymerase Chain Reaction
- α-KIV, α-Keto-isovalerate
- α-KMV, α-keto-β-methyl-valerate
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Affiliation(s)
- Chongyang Huang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Wenjun Deng
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Huan-Zhou Xu
- Department of Pediatrics, Division of Infectious Diseases, College of Medicine, University of Florida, Gainesville, FL, USA
| | - Chen Zhou
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China
| | - Fan Zhang
- Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
| | - Junfei Chen
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China
| | - Qinjia Bao
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
| | - Maili Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
| | - Jing Li
- Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Chaoyang Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, China.,University of Chinese Academy of Sciences, Beijing, China.,Optics Valley Laboratory, Hubei 430074, China
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Kumar N, Singh A, Gulati HK, Bhagat K, Kaur K, Kaur J, Dudhal S, Duggal A, Gulati P, Singh H, Singh JV, Bedi PMS. Phytoconstituents from ten natural herbs as potent inhibitors of main protease enzyme of SARS-COV-2: In silico study. Phytomed Plus 2021; 1:100083. [PMID: 35403086 PMCID: PMC8180089 DOI: 10.1016/j.phyplu.2021.100083] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2021] [Revised: 05/31/2021] [Accepted: 06/01/2021] [Indexed: 04/13/2023]
Abstract
BACKGROUND Lack of treatment of novel Coronavirus disease led to the search of specific antivirals that are capable to inhibit the replication of the virus. The plant kingdom has demonstrated to be an important source of new molecules with antiviral potential. PURPOSE The present study aims to utilize various computational tools to identify the most eligible drug candidate that have capabilities to halt the replication of SARS-COV-2 virus by inhibiting Main protease (Mpro) enzyme. METHODS We have selected plants whose extracts have inhibitory potential against previously discovered coronaviruses. Their phytoconstituents were surveyed and a library of 100 molecules was prepared. Then, computational tools such as molecular docking, ADMET and molecular dynamic simulations were utilized to screen the compounds and evaluate them against Mpro enzyme. RESULTS All the phytoconstituents showed good binding affinities towards Mpro enzyme. Among them laurolitsine possesses the highest binding affinity i.e. -294.1533 kcal/mol. On ADMET analysis of best three ligands were simulated for 1.2 ns, then the stable ligand among them was further simulated for 20 ns. Results revealed that no conformational changes were observed in the laurolitsine w.r.t. protein residues and low RMSD value suggested that the Laurolitsine-protein complex was stable for 20 ns. CONCLUSION Laurolitsine, an active constituent of roots of Lindera aggregata, was found to be having good ADMET profile and have capabilities to halt the activity of the enzyme. Therefore, this makes laurolitsine a good drug candidate for the treatment of COVID-19.
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Key Words
- ACE-2, Angiotensin converting enzyme- 2
- ADMET
- ADMET, absorption, Distribution, metabolism, excretion and toxicity
- Ala, Alanine
- Approx., approximately
- Arg, arginine
- Asn, Asparagine
- Asp, Aspartic acid
- CADD, Computer Aided Drug Design
- CHARMM, Chemistry at Harvard Macromolecular Mechanics
- COV, coronavirus
- COVID, Novel corona-virus disease
- Covid-19
- Cys, cysteine
- DSBDS, Dassault's Systems Biovia's Discovery studio
- Gln, Glutamine
- Glu, glutamate
- Gly, Glycine
- His, histidine
- Ile, isoleucine
- K, Kelvin
- Kcal/mol, kilo calories per mol
- Leu, Leucine
- Leu, leucine
- Lys, Lysine
- MD, Molecular Dynamics
- Met, Methionine
- MoISA, Molecular Surface Area
- Molecular dynamic simulations
- Mpro protein
- Mpro, Main protease enzyme
- N protein, nucleocapsid protein
- NI, N-(4-methylpyridin-3-yl) acetamide inhibitor
- NPT, amount of substance (N), pressure (P) and temperature (T)
- NVT, amount of substance (N), volume (V) and temperature (T)
- Natural Antiviral herbs
- PDB, protein data bank
- PPB, plasma protein binding
- PSA, Polar Surface Area
- Phi, Phenylalanine
- Pro, Proline
- RCSB, Research Collaboratory for Structural Bioinformatics
- RMS, Root Mean Square
- RMSD, Root Mean Square Deviation
- RMSF, root mean square fluctuations
- RNA, Ribonucleic acid
- SAR-COV-2, severe acute respiratory syndrome coronavirus 2
- SDF, structure data format
- Ser, serine
- T, Temperature
- Thr, Threonine
- Trp, Tryptophan
- Tyr, Tyrosine
- Val, Valine
- kDa, kilo Dalton
- nCOV-19, Novel Coronavirus 2019
- ns/nsec, nano seconds
- ps, pentoseconds
- rGyr, Radius of gyration
- w.r.t., with respect to
- Å, angstrom
- α, alpha
- β, beta
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Affiliation(s)
- Nitish Kumar
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
- Drug and Pollution testing Lab, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Atamjit Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Harmandeep Kaur Gulati
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Kavita Bhagat
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Komalpreet Kaur
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Jaspreet Kaur
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Shilpa Dudhal
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Amit Duggal
- Drugs Control Wing, Sector 16, Chandigarh, India, 160015
| | - Puja Gulati
- School of Pharmacy, Desh Bhagat University, Mandi Gobindgarh, Punjab, India, 147301
| | - Harbinder Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Jatinder Vir Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
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Kumar N, Singh A, Gulati HK, Bhagat K, Kaur K, Kaur J, Dudhal S, Duggal A, Gulati P, Singh H, Singh JV, Bedi PMS. Phytoconstituents from ten natural herbs as potent inhibitors of main protease enzyme of SARS-COV-2: In silico study. Phytomed Plus 2021. [PMID: 35403086 DOI: 10.1016/j.phyplu.2021.100139] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
BACKGROUND Lack of treatment of novel Coronavirus disease led to the search of specific antivirals that are capable to inhibit the replication of the virus. The plant kingdom has demonstrated to be an important source of new molecules with antiviral potential. PURPOSE The present study aims to utilize various computational tools to identify the most eligible drug candidate that have capabilities to halt the replication of SARS-COV-2 virus by inhibiting Main protease (Mpro) enzyme. METHODS We have selected plants whose extracts have inhibitory potential against previously discovered coronaviruses. Their phytoconstituents were surveyed and a library of 100 molecules was prepared. Then, computational tools such as molecular docking, ADMET and molecular dynamic simulations were utilized to screen the compounds and evaluate them against Mpro enzyme. RESULTS All the phytoconstituents showed good binding affinities towards Mpro enzyme. Among them laurolitsine possesses the highest binding affinity i.e. -294.1533 kcal/mol. On ADMET analysis of best three ligands were simulated for 1.2 ns, then the stable ligand among them was further simulated for 20 ns. Results revealed that no conformational changes were observed in the laurolitsine w.r.t. protein residues and low RMSD value suggested that the Laurolitsine-protein complex was stable for 20 ns. CONCLUSION Laurolitsine, an active constituent of roots of Lindera aggregata, was found to be having good ADMET profile and have capabilities to halt the activity of the enzyme. Therefore, this makes laurolitsine a good drug candidate for the treatment of COVID-19.
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Key Words
- ACE-2, Angiotensin converting enzyme- 2
- ADMET
- ADMET, absorption, Distribution, metabolism, excretion and toxicity
- Ala, Alanine
- Approx., approximately
- Arg, arginine
- Asn, Asparagine
- Asp, Aspartic acid
- CADD, Computer Aided Drug Design
- CHARMM, Chemistry at Harvard Macromolecular Mechanics
- COV, coronavirus
- COVID, Novel corona-virus disease
- Covid-19
- Cys, cysteine
- DSBDS, Dassault's Systems Biovia's Discovery studio
- Gln, Glutamine
- Glu, glutamate
- Gly, Glycine
- His, histidine
- Ile, isoleucine
- K, Kelvin
- Kcal/mol, kilo calories per mol
- Leu, Leucine
- Leu, leucine
- Lys, Lysine
- MD, Molecular Dynamics
- Met, Methionine
- MoISA, Molecular Surface Area
- Molecular dynamic simulations
- Mpro protein
- Mpro, Main protease enzyme
- N protein, nucleocapsid protein
- NI, N-(4-methylpyridin-3-yl) acetamide inhibitor
- NPT, amount of substance (N), pressure (P) and temperature (T)
- NVT, amount of substance (N), volume (V) and temperature (T)
- Natural Antiviral herbs
- PDB, protein data bank
- PPB, plasma protein binding
- PSA, Polar Surface Area
- Phi, Phenylalanine
- Pro, Proline
- RCSB, Research Collaboratory for Structural Bioinformatics
- RMS, Root Mean Square
- RMSD, Root Mean Square Deviation
- RMSF, root mean square fluctuations
- RNA, Ribonucleic acid
- SAR-COV-2, severe acute respiratory syndrome coronavirus 2
- SDF, structure data format
- Ser, serine
- T, Temperature
- Thr, Threonine
- Trp, Tryptophan
- Tyr, Tyrosine
- Val, Valine
- kDa, kilo Dalton
- nCOV-19, Novel Coronavirus 2019
- ns/nsec, nano seconds
- ps, pentoseconds
- rGyr, Radius of gyration
- w.r.t., with respect to
- Å, angstrom
- α, alpha
- β, beta
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Affiliation(s)
- Nitish Kumar
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
- Drug and Pollution testing Lab, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Atamjit Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Harmandeep Kaur Gulati
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Kavita Bhagat
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Komalpreet Kaur
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Jaspreet Kaur
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Shilpa Dudhal
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Amit Duggal
- Drugs Control Wing, Sector 16, Chandigarh, India, 160015
| | - Puja Gulati
- School of Pharmacy, Desh Bhagat University, Mandi Gobindgarh, Punjab, India, 147301
| | - Harbinder Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
| | - Jatinder Vir Singh
- Department of Pharmaceutical Sciences, Guru Nanak Dev University, Amritsar, Punjab, India, 143005
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