1.Frequency of concomitant injuries in maxillofacial trauma in a tertiary health care centre in India: A 5-year retrospective study.
Saubhik DASUKIL ; Shiwangi VERMA ; Ashok Kumar JENA ; Mounabati MOHAPATRA
Chinese Journal of Traumatology 2025;28(3):216-219
PURPOSE:
Road traffic accidents (RTA), assaults, falls, and sports-related injuries are the leading causes of maxillofacial trauma. Due to quite different geographical environment and fast urbanization, the use of various protective equipment is restricted in India. Thus, compared to other countries, there might be a significant difference in the pattern and frequency of associated injuries among subjects with maxillofacial trauma. The present study was conducted to identify the causes and pattern of various maxillofacial fractures and the frequency of other related injuries among subjects with maxillofacial trauma.
METHODS:
This is a cross-sectional retrospective study recording 2617 subjects with maxillofacial trauma from October 2017 to October 2022. The patient demographics, causes of trauma, types of maxillofacial injury, and associated soft and hard tissue injuries were recorded. The types of maxillofacial and associated injuries were diagnosed from details of clinical examinations and the interpretation of various radiographs available in the file. The associated injuries were divided into head injury, other bony injuries, and soft tissue and vital structure injuries. Descriptive statistics and the test of proportion were used. A p value < 0.05 was considered as a level of significance.
RESULTS:
The maxillofacial injuries were significantly common in patients aged 16 - 45 years (66.7%) than in patients aged ≤ 15 and > 46 years (33.3%) (p < 0.001). The RTA was the most common cause of maxillofacial injury (n = 2139, 81.7%), followed by fall (n = 206, 7.9%), other causes of injury (n = 178, 6.8%), and assaults (n = 94, 3.6%). The maxillofacial injury by 2-wheel vehicle accidents was significantly higher than that by 4-wheel vehicle and other vehicle accidents (p < 0.001). There was a significant correlation between alcohol and RTA (p < 0.001). The head injury (n = 931, 61.1%) was the most common associated injury, followed by soft tissue and vital structures injuries (n = 328, 21.5%) and other bone injuries (n = 264, 17.3%).
DISCUSSION
Head injury was the most common associated injury followed by soft tissue and vital structures and bone injuries among subjects with maxillofacial trauma. Clavicle fracture and injury to the lower extremities were the most common hard and soft tissue-associated injuries.
Humans
;
Maxillofacial Injuries/etiology*
;
Retrospective Studies
;
Adult
;
India/epidemiology*
;
Male
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Female
;
Cross-Sectional Studies
;
Middle Aged
;
Adolescent
;
Young Adult
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Tertiary Care Centers
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Accidents, Traffic/statistics & numerical data*
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Child
;
Aged
;
Multiple Trauma/epidemiology*
;
Child, Preschool
2.In Silico Docking to Explicate Interface between Plant-Originated Inhibitors and E6 Oncogenic Protein of Highly Threatening Human Papillomavirus 18.
Satish KUMAR ; Lingaraja JENA ; Maheswata SAHOO ; Mrunmayi KAKDE ; Sangeeta DAF ; Ashok K VARMA
Genomics & Informatics 2015;13(2):60-67
The leading cause of cancer mortality globally amongst the women is due to human papillomavirus (HPV) infection. There is need to explore anti-cancerous drugs against this life-threatening infection. Traditionally, different natural compounds such as withaferin A, artemisinin, ursolic acid, ferulic acid, (-)-epigallocatechin-3-gallate, berberin, resveratrol, jaceosidin, curcumin, gingerol, indol-3-carbinol, and silymarin have been used as hopeful source of cancer treatment. These natural inhibitors have been shown to block HPV infection by different researchers. In the present study, we explored these natural compounds against E6 oncoprotein of high risk HPV18, which is known to inactivate tumor suppressor p53 protein. E6, a high throughput protein model of HPV18, was predicted to anticipate the interaction mechanism of E6 oncoprotein with these natural inhibitors using structure-based drug designing approach. Docking analysis showed the interaction of these natural inhibitors with p53 binding site of E6 protein residues 108-117 (CQKPLNPAEK) and help reinstatement of normal p53 functioning. Further, docking analysis besides helping in silico validations of natural compounds also helped elucidating the molecular mechanism of inhibition of HPV oncoproteins.
Binding Sites
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Computer Simulation*
;
Curcumin
;
Drug Design
;
Female
;
Hope
;
Human papillomavirus 18*
;
Humans
;
Mortality
;
Oncogene Proteins
;
Silymarin
3.Elucidating Molecular Interactions of Natural Inhibitors with HPV-16 E6 Oncoprotein through Docking Analysis.
Satish KUMAR ; Lingaraja JENA ; Sneha GALANDE ; Sangeeta DAF ; Kanchan MOHOD ; Ashok K VARMA
Genomics & Informatics 2014;12(2):64-70
Human papillomavirus (HPV) infection is the leading cause of cancer mortality among women worldwide. The life-threatening infection caused by HPV demands the need for designing anticancerous drugs. In the recent years, different compounds from natural origins, such as carrageenan, curcumin, epigallocatechin gallate, indole-3-carbinol, jaceosidin, and withaferin, have been used as a hopeful source of anticancer therapy. These compounds have been shown to suppress HPV infection by different researchers. In the present study, we explored these natural inhibitors against E6 oncoprotein of high-risk HPV-16, which is known to inactivate the p53 tumor suppressor protein. A robust homology model of HPV-16 E6 was built to anticipate the interaction mechanism of E6 oncoprotein with natural inhibitory molecules using a structure-based drug designing approach. Docking analysis showed the interaction of these natural compounds with the p53-binding site of E6 protein residues 113-122 (CQKPLCPEEK) and helped the restoration of p53 functioning. Docking analysis, besides helping in silico validation of natural compounds, also helps understand molecular mechanisms of protein-ligand interactions.
Carrageenan
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Computer Simulation
;
Curcumin
;
Drug Design
;
Female
;
Hope
;
Human papillomavirus 16*
;
Humans
;
Mortality
;
Tumor Suppressor Protein p53
4.hpvPDB: An Online Proteome Reserve for Human Papillomavirus.
Satish KUMAR ; Lingaraja JENA ; Sangeeta DAF ; Kanchan MOHOD ; Peyush GOYAL ; Ashok K VARMA
Genomics & Informatics 2013;11(4):289-291
Human papillomavirus (HPV) infection is the leading cause of cancer mortality among women worldwide. The molecular understanding of HPV proteins has significant connotation for understanding their intrusion in the host and designing novel protein vaccines and anti-viral agents, etc. Genomic, proteomic, structural, and disease-related information on HPV is available on the web; yet, with trivial annotations and more so, it is not well customized for data analysis, host-pathogen interaction, strain-disease association, drug designing, and sequence analysis, etc. We attempted to design an online reserve with comprehensive information on HPV for the end users desiring the same. The Human Papillomavirus Proteome Database (hpvPDB) domiciles proteomic and genomic information on 150 HPV strains sequenced to date. Simultaneous easy expandability and retrieval of the strain-specific data, with a provision for sequence analysis and exploration potential of predicted structures, and easy access for curation and annotation through a range of search options at one platform are a few of its important features. Affluent information in this reserve could be of help for researchers involved in structural virology, cancer research, drug discovery, and vaccine design.
DNA Probes
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Drug Design
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Drug Discovery
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Female
;
Genome
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Host-Pathogen Interactions
;
Humans*
;
Mortality
;
Proteome*
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Residence Characteristics
;
Sequence Analysis
;
Statistics as Topic
;
Vaccines
;
Virology

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