Deciphering the Influence of Cigarette Smoke Carcinogens on CNS Associated Biomolecules: A Computational Synergistic Approach.
CNS
Cigarette smoke
carcinogens
molecular interaction.
network analysis
system biology
Journal
CNS & neurological disorders drug targets
ISSN: 1996-3181
Titre abrégé: CNS Neurol Disord Drug Targets
Pays: United Arab Emirates
ID NLM: 101269155
Informations de publication
Date de publication:
2021
2021
Historique:
received:
20
11
2020
revised:
16
01
2021
accepted:
29
01
2021
pubmed:
11
3
2021
medline:
19
1
2022
entrez:
10
3
2021
Statut:
ppublish
Résumé
Human health issues caused by Cigarette Smoke Carcinogens (CSC) are increasing rapidly every day and challenging the scientific community to provide a better understanding in order to avoid its impact on communities. Cigarette smoke also contains tobacco-based chemical compounds harmful to human beings, either smokers or non-smokers. We have tested 7H-Dibenzo[c,g]carbazole (7H-DBC) and Dibenz[a,h]acridine (DBAD) derivatives of Asz-arenes along with N'-Nitrosoanabasine (NAB) and N-Nitrosoanatabine (NAT) derivatives of N-Nitrosamines molecular interaction with CNS biomolecules. Computational synergistic approaches like system biology and molecular interaction techniques were implemented to conduct the analysis. CSC efficiently interacted with NRAS, KRAS, CDH1, and RAC1 molecular targets in CNS. We have also performed the interactome analysis followed by system biology approaches and found that HSPA8 is the most important hub protein for the network generated for CSC-hampered genes of CNS. We have also identified 6 connector proteins, namely TP53, HSP90AA1, PPP2CA, CDH1, CTNNB1, and ARRB1. Further analysis revealed that NRAS and CDH1 have maximum interactions with all the selected CSC. The obtained structural analysis data could be utilized to assess the carcinogenic effect of CSC and could be useful in the treatment of CNS diseases and disorders induced, especially by tobacco-specific carcinogens, or it could also be used in vivo/ in vitro experimentation model designing.
Sections du résumé
BACKGROUND
Human health issues caused by Cigarette Smoke Carcinogens (CSC) are increasing rapidly every day and challenging the scientific community to provide a better understanding in order to avoid its impact on communities. Cigarette smoke also contains tobacco-based chemical compounds harmful to human beings, either smokers or non-smokers.
OBJECTIVE
We have tested 7H-Dibenzo[c,g]carbazole (7H-DBC) and Dibenz[a,h]acridine (DBAD) derivatives of Asz-arenes along with N'-Nitrosoanabasine (NAB) and N-Nitrosoanatabine (NAT) derivatives of N-Nitrosamines molecular interaction with CNS biomolecules.
METHODS
Computational synergistic approaches like system biology and molecular interaction techniques were implemented to conduct the analysis.
RESULTS
CSC efficiently interacted with NRAS, KRAS, CDH1, and RAC1 molecular targets in CNS. We have also performed the interactome analysis followed by system biology approaches and found that HSPA8 is the most important hub protein for the network generated for CSC-hampered genes of CNS. We have also identified 6 connector proteins, namely TP53, HSP90AA1, PPP2CA, CDH1, CTNNB1, and ARRB1. Further analysis revealed that NRAS and CDH1 have maximum interactions with all the selected CSC.
CONCLUSION
The obtained structural analysis data could be utilized to assess the carcinogenic effect of CSC and could be useful in the treatment of CNS diseases and disorders induced, especially by tobacco-specific carcinogens, or it could also be used in vivo/ in vitro experimentation model designing.
Identifiants
pubmed: 33687903
pii: CNSNDDT-EPUB-114813
doi: 10.2174/1871527320666210309142714
doi:
Substances chimiques
Carcinogens
0
Nitrosamines
0
Smoke
0
N'-nitrosoanabasine
37620-20-5
N'-nitrosoanatabine
7V3JJ391AU
PPP2CA protein, human
EC 3.1.3.16
Protein Phosphatase 2
EC 3.1.3.16
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
540-555Subventions
Organisme : Deanship of Scientific Research, Qassim University, Saudi Arabia
ID : 5446-BHSC-2019-2-2-I ACADEMIC YEAR 1440AH/2019AD
Informations de copyright
Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.