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Ahuja R, Vishwakarma P, Raj S, Kumar V, Khatri R, Lohiya B, Saxena S, Kaur G, Singh G, Asthana S, Ahmed S, Samal S. Characterization and immunogenicity assessment of MERS-CoV pre-fusion spike trimeric oligomers as vaccine immunogen. Hum Vaccin Immunother 2024; 20:2351664. [PMID: 38757508 PMCID: PMC11110700 DOI: 10.1080/21645515.2024.2351664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/01/2024] [Indexed: 05/18/2024] Open
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is a lethal beta-coronavirus that emerged in 2012. The virus is part of the WHO blueprint priority list with a concerning fatality rate of 35%. Scientific efforts are ongoing for the development of vaccines, anti-viral and biotherapeutics, which are majorly directed toward the structural spike protein. However, the ongoing effort is challenging due to conformational instability of the spike protein and the evasion strategy posed by the MERS-CoV. In this study, we have expressed and purified the MERS-CoV pre-fusion spike protein in the Expi293F mammalian expression system. The purified protein was extensively characterized for its biochemical and biophysical properties. Thermal stability analysis showed a melting temperature of 58°C and the protein resisted major structural changes at elevated temperature as revealed by fluorescence spectroscopy and circular dichroism. Immunological assessment of the MERS-CoV spike immunogen in BALB/c mice with AddaVaxTM and Imject alum adjuvants showed elicitation of high titer antibody responses but a more balanced Th1/Th2 response with AddaVaxTM squalene like adjuvant. Together, our results suggest the formation of higher-order trimeric pre-fusion MERS-CoV spike proteins, which were able to induce robust immune responses. The comprehensive characterization of MERS-CoV spike protein warrants a better understanding of MERS spike protein and future vaccine development efforts.
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MESH Headings
- Middle East Respiratory Syndrome Coronavirus/immunology
- Animals
- Spike Glycoprotein, Coronavirus/immunology
- Spike Glycoprotein, Coronavirus/genetics
- Mice, Inbred BALB C
- Antibodies, Viral/immunology
- Antibodies, Viral/blood
- Viral Vaccines/immunology
- Mice
- Female
- Coronavirus Infections/prevention & control
- Coronavirus Infections/immunology
- Immunogenicity, Vaccine
- Antibodies, Neutralizing/immunology
- Antibodies, Neutralizing/blood
- Adjuvants, Immunologic/administration & dosage
- Adjuvants, Vaccine
- Humans
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Affiliation(s)
- Rahul Ahuja
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Preeti Vishwakarma
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Sneha Raj
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Varun Kumar
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Ritika Khatri
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Bharat Lohiya
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Shikha Saxena
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Gurleen Kaur
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Gagandeep Singh
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
- Computational Biophysics and CADD Group, Computational and Mathematical Biology Center (CMBC), Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Shailendra Asthana
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
- Computational Biophysics and CADD Group, Computational and Mathematical Biology Center (CMBC), Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
| | - Shubbir Ahmed
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
- Centralized Core Research Facility (CCRF), All India Institute of Medical Sciences (AIIMS), New Delhi, India
| | - Sweety Samal
- Influenza and Respiratory Virus Laboratory, Translational Health Science and Technology Institute (THSTI), NCR-Biotech Science Cluster, Faridabad, Haryana, India
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Zhu X, Wang X, Liu T, Zhang D, Jin T. Design of multi-epitope vaccine against porcine rotavirus using computational biology and molecular dynamics simulation approaches. Virol J 2024; 21:160. [PMID: 39039549 PMCID: PMC11264426 DOI: 10.1186/s12985-024-02440-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 07/16/2024] [Indexed: 07/24/2024] Open
Abstract
Porcine Rotavirus (PoRV) is a significant pathogen affecting swine-rearing regions globally, presenting a substantial threat to the economic development of the livestock sector. At present, no specific pharmaceuticals are available for this disease, and treatment options remain exceedingly limited. This study seeks to design a multi-epitope peptide vaccine for PoRV employing bioinformatics approaches to robustly activate T-cell and B-cell immune responses. Two antigenic proteins, VP7 and VP8*, were selected from PoRV, and potential immunogenic T-cell and B-cell epitopes were predicted using immunoinformatic tools. These epitopes were further screened according to non-toxicity, antigenicity, non-allergenicity, and immunogenicity criteria. The selected epitopes were linked with linkers to form a novel multi-epitope vaccine construct, with the PADRE sequence (AKFVAAWTLKAAA) and RS09 peptide attached at the N-terminus of the designed peptide chain to enhance the vaccine's antigenicity. Protein-protein docking of the vaccine constructs with toll-like receptors (TLR3 and TLR4) was conducted using computational methods, with the lowest energy docking results selected as the optimal predictive model. Subsequently, molecular dynamics (MD) simulation methods were employed to assess the stability of the protein vaccine constructs and TLR3 and TLR4 receptors. The results indicated that the vaccine-TLR3 and vaccine-TLR4 docking models remained stable throughout the simulation period. Additionally, the C-IMMSIM tool was utilized to determine the immunogenic triggering capability of the vaccine protein, demonstrating that the constructed vaccine protein could induce both cell-mediated and humoral immune responses, thereby playing a role in eliciting host immune responses. In conclusion, this study successfully constructed a multi-epitope vaccine against PoRV and validated the stability and efficacy of the vaccine through computational analysis. However, as the study is purely computational, experimental evaluation is required to validate the safety and immunogenicity of the newly constructed vaccine protein.
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MESH Headings
- Animals
- Swine
- Molecular Dynamics Simulation
- Rotavirus/immunology
- Rotavirus/genetics
- Epitopes, T-Lymphocyte/immunology
- Epitopes, T-Lymphocyte/genetics
- Epitopes, T-Lymphocyte/chemistry
- Computational Biology
- Epitopes, B-Lymphocyte/immunology
- Epitopes, B-Lymphocyte/genetics
- Rotavirus Vaccines/immunology
- Rotavirus Vaccines/chemistry
- Rotavirus Vaccines/genetics
- Rotavirus Infections/prevention & control
- Rotavirus Infections/immunology
- Rotavirus Infections/virology
- Vaccines, Subunit/immunology
- Vaccines, Subunit/genetics
- Vaccines, Subunit/chemistry
- Antigens, Viral/immunology
- Antigens, Viral/genetics
- Antigens, Viral/chemistry
- Molecular Docking Simulation
- Swine Diseases/prevention & control
- Swine Diseases/immunology
- Swine Diseases/virology
- Capsid Proteins/immunology
- Capsid Proteins/genetics
- Capsid Proteins/chemistry
- Vaccine Development
- Immunogenicity, Vaccine
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Affiliation(s)
- Xiaochen Zhu
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China
| | - Xinyuan Wang
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China
| | - Tingting Liu
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China
| | - Dongchao Zhang
- Tianjin Key Laboratory of Agricultural Animal Breeding and Healthy Husbandry, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China.
- Tianjin Engineering Technology Center of Livestock Pathogen Detection and Genetic Engineering Vaccine, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China.
| | - Tianming Jin
- Tianjin Key Laboratory of Animal Molecular Breeding and Biotechnology, Institute of Animal Science and Veterinary, Tianjin Academy of Agricultural Sciences, Tianjin, 300381, China.
- Tianjin Engineering Technology Center of Livestock Pathogen Detection and Genetic Engineering Vaccine, College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin, 300392, China.
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Nayak AK, Chakraborty A, Shukla S, Kumar N, Samanta S. An immunoinformatic approach for developing a multi-epitope subunit vaccine against Monkeypox virus. In Silico Pharmacol 2024; 12:42. [PMID: 38746047 PMCID: PMC11089034 DOI: 10.1007/s40203-024-00220-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 05/01/2024] [Indexed: 05/16/2024] Open
Abstract
An in-silico approach was implemented to develop a multi-epitope subunit vaccine construct against the recent outbreak of the Monkeypox virus. The contribution of 10 different antigenic proteins based on their antigenicity led to the selection of 10 HTL, 9 CTL, and 6 BCL epitopes. The construct was further investigated for its allergenicity, antigenicity, and physio-chemical properties using servers such as AllerTOP and Allergen FP, VaxiJen and ANTIGENPro, and ProtParam respectively. The secondary structure of the vaccine was predicted using the SOPMA server followed by I-TASSER for the 3D structure. After refinement and validation of structural stability of the modelled vaccine, a molecular docking assay was implemented to study the interaction of the known TLR4 receptor with that of the constructed vaccine using the ClusPro server. The docked vaccine and TLR4 receptor were studied using the molecular dynamics (MD) simulation to validate the stability of the complex. After codon optimization the cDNA was constructed and in-silico cloning of the vaccine construct was carried out. The vaccine was also subjected to computational immune assay which predicted a powerful immune response against the Monkeypox virus validating that the developed multi-epitope vaccine construct can be a potent vaccine candidate. Supplementary Information The online version contains supplementary material available at 10.1007/s40203-024-00220-5.
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Affiliation(s)
- Ashmad Kumar Nayak
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, Madhya Pradesh India
| | - Aritra Chakraborty
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, Madhya Pradesh India
| | - Sakshi Shukla
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, Madhya Pradesh India
| | - Nikhil Kumar
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, Madhya Pradesh India
| | - Sunanda Samanta
- Department of Biosciences and Biomedical Engineering, Indian Institute of Technology, Indore, Madhya Pradesh India
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Asadollahi P, Kalani BS. Novel toxin-based mRNA vaccine against Clostridium perfringens using in silico approaches. Toxicon 2024; 238:107584. [PMID: 38185287 DOI: 10.1016/j.toxicon.2023.107584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2023] [Revised: 12/03/2023] [Accepted: 12/19/2023] [Indexed: 01/09/2024]
Abstract
Clostridium perfringens is a bacterium that causes gastrointestinal diseases in humans and animals. The several powerful toxins such as alpha toxin (CPA), beta toxin (CPB), enterotoxin (CPE), Epsilon toxin (ETX), and theta toxin, play a major role in its pathogenesis. Traditional vaccine development methods are time-consuming and costly. In silico approaches offer an alternative strategy for designing vaccines by analyzing biological data and predicting immunogenic peptides. In this study, computational tools were utilized to design a RNA vaccine targeting C. perfringens toxins. Toxin protein sequences were retrieved and their linear B-cell, MHCI, and MHCII binding epitopes were predicted. Allergenicity, toxigenicity, and IFN-γ induction were assessed to select non-allergenic, non-toxic, and IFN-γ-inducing epitopes. Molecular docking was performed to identify epitopes that fit within the binding cleft of MHC alleles. A final peptide vaccine construct was designed with selected epitopes separated by a linker sequence. The antigenicity and physicochemical properties of the vaccine were evaluated. Immune response simulation showed enhanced secondary and tertiary immune responses, increased levels of immunoglobulins, cytotoxic T lymphocytes, helper T lymphocytes, macrophage activity, and elevated levels IFN-γ and interleukin-2. Docking analysis was done to assess interactions between the vaccine structure and Toll-like receptors. Codon optimization was performed, and a final RNA vaccine construct was designed. The secondary structure of the RNA vaccine was predicted and validated. Overall, this study demonstrates the potential of in silico approaches for designing an RNA vaccine against C. perfringens toxins, contributing to improved prevention and control of associated diseases.
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Affiliation(s)
- Parisa Asadollahi
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran; Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran
| | - Behrooz Sadeghi Kalani
- Clinical Microbiology Research Center, Ilam University of Medical Sciences, Ilam, Iran; Department of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
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Bano N, Kumar A. Immunoinformatics study to explore dengue (DENV-1) proteome to design multi-epitope vaccine construct by using CD4+ epitopes. J Genet Eng Biotechnol 2023; 21:128. [PMID: 37987878 PMCID: PMC10663418 DOI: 10.1186/s43141-023-00592-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 11/06/2023] [Indexed: 11/22/2023]
Abstract
BACKGROUND Immunoinformatics is an emerging interdisciplinary field which integrates immunology, bioinformatics, and computational biology to study the immune system. In this study, we apply immunoinformatics approaches to explore the dengue proteome in order to design a multi-epitope vaccine construct. METHODS We used existing databases and algorithms to predict potential epitopes on dengue proteins and used a bioinformatics approach to identify the most promising epitopes. We then used molecular modelling to develop a multi-epitope construct which could be used as a potential vaccine. The results of this study demonstrate that immunoinformatics is a powerful tool for exploring and designing potential vaccines for infectious diseases like dengue. RESULTS Here, we found four CD4+ epitopes NLKYSVIVTVHTGDQ, ANPIVTDKEKPVNIE, LDPVVYDAKFEKQL, and VGAIALDFKPGTSGS that were used to design vaccine construct. The vaccine construct docked with TLR5. RMSD values suggest that docked complex of TLR5 and vaccine construct have putative stable interaction to induce immunogenic effects on host. CONCLUSIONS Furthermore, our study provides a proof of concept for the use of immunoinformatics approaches in DENV vaccine design. This vaccine can be effective in treating patients infected with DENV virus.
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Affiliation(s)
- Nishat Bano
- Department of Biotechnology, Faculty of Engineering and Technology Rama University, G.T. Road, Kanpur, 209217, India
| | - Ajay Kumar
- Department of Biotechnology, Faculty of Engineering and Technology Rama University, G.T. Road, Kanpur, 209217, India.
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Marriam S, Afghan MS, Nadeem M, Sajid M, Ahsan M, Basit A, Wajid M, Sabri S, Sajid M, Zafar I, Rashid S, Sehgal SA, Alkhalifah DHM, Hozzein WN, Chen KT, Sharma R. Elucidation of novel compounds and epitope-based peptide vaccine design against C30 endopeptidase regions of SARS-CoV-2 using immunoinformatics approaches. Front Cell Infect Microbiol 2023; 13:1134802. [PMID: 37293206 PMCID: PMC10244718 DOI: 10.3389/fcimb.2023.1134802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Accepted: 04/29/2023] [Indexed: 06/10/2023] Open
Abstract
There has been progressive improvement in immunoinformatics approaches for epitope-based peptide design. Computational-based immune-informatics approaches were applied to identify the epitopes of SARS-CoV-2 to develop vaccines. The accessibility of the SARS-CoV-2 protein surface was analyzed, and hexa-peptide sequences (KTPKYK) were observed having a maximum score of 8.254, located between amino acids 97 and 102, whereas the FSVLAC at amino acids 112 to 117 showed the lowest score of 0.114. The surface flexibility of the target protein ranged from 0.864 to 1.099 having amino acid ranges of 159 to 165 and 118 to 124, respectively, harboring the FCYMHHM and YNGSPSG hepta-peptide sequences. The surface flexibility was predicted, and a 0.864 score was observed from amino acids 159 to 165 with the hepta-peptide (FCYMHHM) sequence. Moreover, the highest score of 1.099 was observed between amino acids 118 and 124 against YNGSPSG. B-cell epitopes and cytotoxic T-lymphocyte (CTL) epitopes were also identified against SARS-CoV-2. In molecular docking analyses, -0.54 to -26.21 kcal/mol global energy was observed against the selected CTL epitopes, exhibiting binding solid energies of -3.33 to -26.36 kcal/mol. Based on optimization, eight epitopes (SEDMLNPNY, GSVGFNIDY, LLEDEFTPF, DYDCVSFCY, GTDLEGNFY, QTFSVLACY, TVNVLAWLY, and TANPKTPKY) showed reliable findings. The study calculated the associated HLA alleles with MHC-I and MHC-II and found that MHC-I epitopes had higher population coverage (0.9019% and 0.5639%) than MHC-II epitopes, which ranged from 58.49% to 34.71% in Italy and China, respectively. The CTL epitopes were docked with antigenic sites and analyzed with MHC-I HLA protein. In addition, virtual screening was conducted using the ZINC database library, which contained 3,447 compounds. The 10 top-ranked scrutinized molecules (ZINC222731806, ZINC077293241, ZINC014880001, ZINC003830427, ZINC030731133, ZINC003932831, ZINC003816514, ZINC004245650, ZINC000057255, and ZINC011592639) exhibited the least binding energy (-8.8 to -7.5 kcal/mol). The molecular dynamics (MD) and immune simulation data suggest that these epitopes could be used to design an effective SARS-CoV-2 vaccine in the form of a peptide-based vaccine. Our identified CTL epitopes have the potential to inhibit SARS-CoV-2 replication.
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Affiliation(s)
- Saigha Marriam
- Department of Microbiology and Molecular Genetics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Sher Afghan
- Department of Ear, Nose, and Throat (ENT), District Headquarter (DHQ) Teaching Hospital Faisalabad, Faisalabad, Punjab, Pakistan
| | - Mazhar Nadeem
- Department of Ear, Nose, and Throat (ENT), District Headquarter (DHQ) Teaching Hospital Faisalabad, Faisalabad, Punjab, Pakistan
| | - Muhammad Sajid
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Ahsan
- Institute of Environmental and Agricultural Sciences, University of Okara, Okara, Pakistan
| | - Abdul Basit
- Department of Microbiology, University of Jhang, Jhang, Pakistan
| | - Muhammad Wajid
- Department of Zoology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Sabeen Sabri
- Department of Microbiology and Molecular Genetics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Muhammad Sajid
- Department of Biotechnology, Faculty of Life Sciences, University of Okara, Okara, Pakistan
| | - Imran Zafar
- Department of Bioinformatics and Computational Biology, Virtual University, Punjab, Pakistan
| | - Summya Rashid
- Department of Pharmacology and Toxicology, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
| | - Sheikh Arslan Sehgal
- Department of Bioinformatics, Faculty of Life Sciences, University of Okara, Okara, Pakistan
- Department of Bioinformatics, Institute of Biochemistry, Biotechnology and Bioinformatics, The Islamia University of Bahawalpur, Bahawalpur, Pakistan
| | - Dalal Hussien M Alkhalifah
- Department of Biology, College of Science, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Wael N Hozzein
- Botany and Microbiology Department, Faculty of Science, Beni-Suef University, Beni-Suef, Egypt
| | - Kow-Tong Chen
- Department of Occupational Medicine, Tainan Municipal Hospital (managed by ShowChwan Medical Care Corporation), Tainan, Taiwan
- Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Rohit Sharma
- Department of Rasa Shastra and Bhaishajya Kalpana, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi, India
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