1
|
Acri G, Testagrossa B, Lucanto MC, Cristadoro S, Pellegrino S, Ruello E, Costa S. Raman Spectroscopy and Cystic Fibrosis Disease: An Alternative Potential Tool for Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) Modulator Response Differentiation-A Pilot Study Based on Serum Samples. Molecules 2024; 29:433. [PMID: 38257346 PMCID: PMC10818724 DOI: 10.3390/molecules29020433] [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: 11/17/2023] [Revised: 01/06/2024] [Accepted: 01/10/2024] [Indexed: 01/24/2024] Open
Abstract
Cystic fibrosis (CF) is a genetic disorder that alters chloride transport in mucous membranes. Recent studies have demonstrated that treatment with modulators of the chloride channel reduces inflammatory markers, restoring, among others, the imbalance of lipids. In this study, we analyzed the serum samples of treated and non-treated patients with modulators with Raman spectroscopy. Nineteen (eight treated an eleven non-treated) patients were considered. The main difference between the two groups appeared in the 3020-2800 cm-1 range. A Voigt deconvolution fit was performed, and nine sub-bands were identified. To distinguish between treated and non-treated patients, the area ratio between the CH3 and CH2 vibration modes was calculated for each patient. The results were validated using statistical analyses. In particular, receiver operating characteristic (ROC) curves and Youden index (Y) were calculated (Area Under Curve (AUC): 0.977; Y: 3.30). An ROC curve represents the performance of the classification, illustrating the diagnostic ability of Raman spectroscopy. It was demonstrated that Raman spectroscopy is able to highlight peculiar differences between elexacaftor/tezacaftor/ivacaftor (ETI)-treated and non-treated patients, in relation with lipids biomarkers.
Collapse
Affiliation(s)
- Giuseppe Acri
- Dipartimento di Scienze Biomediche, Odontoiatriche, e delle Immagini Morfologiche e Funzionali, Università degli Studi di Messina, 98125 Messina, Italy; (G.A.); (E.R.)
| | - Barbara Testagrossa
- Dipartimento di Scienze Biomediche, Odontoiatriche, e delle Immagini Morfologiche e Funzionali, Università degli Studi di Messina, 98125 Messina, Italy; (G.A.); (E.R.)
| | - Maria Cristina Lucanto
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (M.C.L.); (S.C.); (S.P.); (S.C.)
| | - Simona Cristadoro
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (M.C.L.); (S.C.); (S.P.); (S.C.)
| | - Salvatore Pellegrino
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (M.C.L.); (S.C.); (S.P.); (S.C.)
| | - Elisa Ruello
- Dipartimento di Scienze Biomediche, Odontoiatriche, e delle Immagini Morfologiche e Funzionali, Università degli Studi di Messina, 98125 Messina, Italy; (G.A.); (E.R.)
| | - Stefano Costa
- Unità Operativa Semplice Dipartimentale Gastroenterologia Pediatrica e Fibrosi Cistica, Azienda, Ospedaliera Universitaria Policlinico G. Martino, Via Consolare Valeria, 98125 Messina, Italy; (M.C.L.); (S.C.); (S.P.); (S.C.)
| |
Collapse
|
2
|
Ricciardi V, Lasalvia M, Perna G, Portaccio M, Delfino I, Lepore M, Capozzi V, Manti L. Vibrational spectroscopies for biochemical investigation of X-ray exposure effects on SH-SY5Y human neuroblastoma cells. RADIATION AND ENVIRONMENTAL BIOPHYSICS 2023:10.1007/s00411-023-01035-2. [PMID: 37392215 DOI: 10.1007/s00411-023-01035-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 06/20/2023] [Indexed: 07/03/2023]
Abstract
Neuroblastoma is the most recurring cancer in childhood and adolescence. The SH-SY5Y neuroblastoma cell line is generally adopted for elaborating new therapeutical approaches and/or elaborating strategies for the prevention of central nervous system disturbances. In fact, it represents a valid model system for investigating in vitro the effects on the brain of X-ray exposure using vibrational spectroscopies that can detect early radiation-induced molecular alterations of potential clinical usefulness. In recent years, we dedicated significant efforts in the use of Fourier-transform and Raman microspectroscopy techniques for characterizing such radiation-induced effects on SH-SY5Y cells by examining the contributions from different cell components (DNA, proteins, lipids, and carbohydrates) to the vibrational spectra. In this review, we aim at revising and comparing the main results of our studies to provide a wide outlook of the latest outcomes and a framework for future radiobiology research using vibrational spectroscopies. A short description of our experimental approaches and data analysis procedures is also reported.
Collapse
Affiliation(s)
- Valerio Ricciardi
- Istituto Nazionale di Fisica Nucleare-Sezione di Napoli, 80100, Naples, Italy
| | - Maria Lasalvia
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122, Foggia, Italy
- Istituto Nazionale di Fisica Nucleare-Sezione di Bari, 70100, Bari, Italy
| | - Giuseppe Perna
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122, Foggia, Italy
- Istituto Nazionale di Fisica Nucleare-Sezione di Bari, 70100, Bari, Italy
| | - Marianna Portaccio
- Dipartimento di Medicina Sperimentale, Università della Campania "Luigi Vanvitelli", 80138, Naples, Italy
| | - Ines Delfino
- Dipartimento di Scienze Ecologiche e Biologiche, Università degli Studi della Tuscia, Viterbo, Italy.
| | - Maria Lepore
- Dipartimento di Medicina Sperimentale, Università della Campania "Luigi Vanvitelli", 80138, Naples, Italy
| | - Vito Capozzi
- Dipartimento di Medicina Clinica e Sperimentale, Università di Foggia, 71122, Foggia, Italy
- Istituto Nazionale di Fisica Nucleare-Sezione di Bari, 70100, Bari, Italy
| | - Lorenzo Manti
- Istituto Nazionale di Fisica Nucleare-Sezione di Napoli, 80100, Naples, Italy
- Dipartimento di Fisica "E. Pancini", Università degli Studi di Napoli "Federico II", 80100, Naples, Italy
| |
Collapse
|
3
|
X-rays induced alterations in mechanical and biochemical properties of isolated SH-SY5Y nuclei. Biochim Biophys Acta Gen Subj 2023; 1867:130291. [PMID: 36529242 DOI: 10.1016/j.bbagen.2022.130291] [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: 08/18/2022] [Revised: 12/03/2022] [Accepted: 12/13/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The use of ionizing radiations in radiotherapy is an effective and very common cancer treatment after surgery. Although ionizing-radiation DNA damages are extensively investigated, little is known about their effects on the other nuclear components, since their variations when studied in whole cells can be difficult to decouple from those of the cytoplasmatic structures. The organization of nuclear components plays a functional role since they are directly involved in some of the nuclear response to chemical or physical stimuli. For this reason, studying the X-ray effects on nuclear components is a crucial step in radiobiology. MATERIALS AND METHODS We have used Atomic Force Microscopy (AFM) and micro-FTIR to examine the biomechanical and biochemical properties of hydrated fixed nuclei isolated from neuroblastoma (SH-SY5Y) cells irradiated by 2, 4, 6 and 8 Gy X-ray doses. RESULTS The experimental results have shown that, already at 2 Gy irradiation dose, the nuclei exhibit not only a DNA damage, but also relevant alterations of lipid saturation, protein secondary structure arrangement and a significant decrease in nuclear stiffness, which indicate a remarkable chromatin decondensation. CONCLUSIONS AND GENERAL SIGNIFICANCE The present work demonstrates that a multi-technique approach, able to disclose multiple features, can be helpful to achieve a comprehensive picture of the X-ray irradiation effects of the nuclear components and distinguish them from those occurring at the level of cytoplasm.
Collapse
|
4
|
Nanomechanical and Vibrational Signature of Chikungunya Viral Particles. Viruses 2022; 14:v14122821. [PMID: 36560825 PMCID: PMC9782469 DOI: 10.3390/v14122821] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 12/12/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Chikungunya virus (CHIKV) belongs to the genus Alphaviridae, with a single-stranded positive-sense RNA genome of 11.8 kbp encoding a polyprotein that generates both non-structural proteins and structural proteins. The virus is transmitted by the Aedes aegypti and A. albopictus mosquitoes, depending on the location. CHIKV infection leads to dengue-like musculoskeletal symptoms and has been responsible for several outbreaks worldwide since its discovery in 1952. Patients often experience fever, headache, muscle pain, joint swelling, and skin rashes. However, the ultrastructural and mechanical properties of CHIKV have not been fully characterized. Thus, this study aims to apply a physical approach to investigate CHIKV's ultrastructural morphology and mechanical properties, using atomic force microscopy and Raman spectroscopy as the main tools. Using nanomechanical assays of AFM and a gold nanoparticles substrate for Raman signal enhancement, we explored the conformational plasticity, morphology, vibrational signature, and nanomechanical properties of the chikungunya virus, providing new information on its ultrastructure at the nanoscale and offering a novel understanding of the virus' behavior upon mechanical disruptions besides its molecular composition.
Collapse
|
5
|
Dastgir G, Majeed MI, Nawaz H, Rashid N, Raza A, Ali MZ, Shakeel M, Javed M, Ehsan U, Ishtiaq S, Fatima R, Abdulraheem A. Surface-enhanced Raman spectroscopy of polymerase chain reaction (PCR) products of Rifampin resistant and susceptible tuberculosis patients. Photodiagnosis Photodyn Ther 2022; 38:102758. [DOI: 10.1016/j.pdpdt.2022.102758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/25/2022] [Accepted: 02/10/2022] [Indexed: 10/19/2022]
|
6
|
Rafiq S, Majeed MI, Nawaz H, Rashid N, Yaqoob U, Batool F, Bashir S, Akbar S, Abubakar M, Ahmad S, Ali S, Kashif M, Amin I. Surface-enhanced Raman spectroscopy for analysis of PCR products of viral RNA of hepatitis C patients. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 259:119908. [PMID: 33989976 DOI: 10.1016/j.saa.2021.119908] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/22/2021] [Accepted: 05/02/2021] [Indexed: 06/12/2023]
Abstract
In the current study, for a qualitative and quantitative study of Polymerase Chain Reaction (PCR) products of viral RNA of Hepatitis C virus (HCV) infection, surface-enhanced Raman spectroscopy (SERS) methodology has been developed. SERS was used to identify the spectral features associated with the PCR products of viral RNA of Hepatitis C in various samples of HCV-infected patients with predetermined viral loads. The measurements for SERS were performed on 30 samples of PCR products, which included three PCR products of RNA of healthy individuals, six negative controls, and twenty-one HCV positive samples of varying viral loads (VLs) using Silver nanoparticles (Ag NPs) as a SERS substrates. Additionally, on SERS spectral data, the multivariate data analysis methods including Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR) were also carried out which help to illustrate the diagnostic capabilities of this method. The PLSR model is designed to predict HCV viral loads based on biochemical changes observed as SERS spectral features which can be associated directly with HCV RNA. Several SERS characteristic features are observed in the RNA of HCV which are not detected in the spectra of healthy RNA/controls. PCA is found helpful to differentiate the SERS spectral data sets of HCV RNA samples from healthy and negative controls. The PLSR model is found to be 99% accurate in predicting VLs of HCV RNA samples of unknown samples based on SERS spectral changes associated with the Hepatitis C development.
Collapse
Affiliation(s)
- Sidra Rafiq
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | | | - Haq Nawaz
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan.
| | - Nosheen Rashid
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Pakistan
| | - Umer Yaqoob
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Fatima Batool
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Saba Bashir
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Saba Akbar
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Muhammad Abubakar
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Shamsheer Ahmad
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Saqib Ali
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Muhammad Kashif
- Department of Chemistry, University of Agriculture, Faisalabad 38040, Pakistan
| | - Imran Amin
- PCR Laboratory, PINUM Hospital, Faisalabad, Pakistan
| |
Collapse
|
7
|
Batool F, Nawaz H, Majeed MI, Rashid N, Bashir S, Bano S, Tahir F, Haq AU, Saleem M, Nawaz MZ, Almas F, Amin I. Surface-enhanced Raman spectral analysis for comparison of PCR products of hepatitis B and hepatitis C. Photodiagnosis Photodyn Ther 2021; 35:102440. [PMID: 34280557 DOI: 10.1016/j.pdpdt.2021.102440] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 06/15/2021] [Accepted: 07/12/2021] [Indexed: 11/15/2022]
Abstract
BACKGROUND Surface-enhanced Raman spectroscopy is a reliable tool for identification and differentiation of two diseases showing similar symptoms, hepatitis B (HBV) and hepatitis C (HCV). OBJECTIVES To develop a polymerase chain reaction technique (PCR) based SERS technique for differentiation of two human pathological conditions sharing the same symptoms using multivariate data analysis techniques e.g. principle component analysis (PCA) and partial least square discriminate analysis (PLS-DA). METHODS PCR products of HBV and HCV were differentiated by SERS using silver nanoparticles (AgNPs) as a SERS substrate. For this analysis, PCR products of both the diseases with predetermined viral loads were collected and analyzed under SERS instrument and unique SERS spectra of HBV and HCV was compared showing many differences at various points. Diseased classes of HBV and HCV and their negative control classes (viral load less than 1) were compared. PCR products of true healthy DNA and RNA were also compared, which were significantly separated. Moreover, SERS data was analyzed using multivariate data analysis techniques including principle component analysis (PCA) and partial least square discriminate analysis (PLS-DA) and differences were so prominent to observe. RESULTS SERS spectral data of HBV and HCV showed clear differences and were significantly separated using PCA. Negative control samples of both disorders and their true healthy samples of DNA and RNA were separated according to 1st principle component. By analyzing data using partial least square discriminate analysis, differentiation of two disease classes was considered more valid with sensitivity, specificity and accuracy value of 96%, 94% and 98% respectively. Value of area under curve (AUROC) was 0.7527. CONCLUSION SERS can be employed for identification and comparison of two human pathological conditions sharing the same symptomology.
Collapse
Affiliation(s)
- Fatima Batool
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Haq Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Irfan Majeed
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan.
| | - Nosheen Rashid
- Institute of Microbiology, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saba Bashir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Saira Bano
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Fatima Tahir
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Anwar Ul Haq
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Mudassar Saleem
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Muhammad Zaman Nawaz
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Farakh Almas
- Department of Chemistry, University of Agriculture Faisalabad, Faisalabad 38040, Pakistan
| | - Imran Amin
- Department of Chemistry, University of Central Punjab, Faisalabad Campus, Faisalabad, Pakistan
| |
Collapse
|
8
|
Robert C, Tsiampali J, Fraser-Miller SJ, Neumann S, Maciaczyk D, Young SL, Maciaczyk J, Gordon KC. Molecular monitoring of glioblastoma's immunogenicity using a combination of Raman spectroscopy and chemometrics. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 252:119534. [PMID: 33588367 DOI: 10.1016/j.saa.2021.119534] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 01/18/2021] [Accepted: 01/22/2021] [Indexed: 06/12/2023]
Abstract
Raman spectroscopy (RS) has been used as a powerful diagnostic and non-invasive tool in cancer diagnosis as well as in discrimination of cancer and immune cells. In this study RS in combination with chemometrics was applied to cellular Raman spectral data to distinguish the phenotype of T-cells and monocytes after incubation with media conditioned by glioblastoma stem-cells (GSCs) showing different molecular background. For this purpose, genetic modulations of epithelial-to-mesenchymal transition (EMT) process and expression of immunomodulator CD73 were introduced. Principal component analysis of the Raman spectral data showed that T-cells and monocytes incubated with tumour-conditioned media (TCMs) of GSCs with inhibited EMT activator ZEB1 or CD73 formed distinct clusters compared to controls highlighting their differences. Further discriminatory analysis performed using linear discriminant analysis (LDA) and support vector machine classification (SVM), yielded sensitivities and specificities of over 70 and 67% respectively upon validation against an independent test set. Supporting those results, flow cytometric analysis was performed to test the influence of TCMs on cytokine profile of T-cells and monocytes. We found that ZEB1 and CD73 influence T-cell and monocyte phenotype and promote monocyte differentiation into a population of mixed pro- and anti-tumorigenic macrophages (MΦs) and dendritic cells (DCs) respectively. In conclusion, Raman spectroscopy in combination with chemometrics enabled tracking T-cells and monocytes.
Collapse
Affiliation(s)
- Chima Robert
- Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand
| | - Julia Tsiampali
- Neurosurgery Department, University Hospital Duesseldorf, 40225 Duesseldorf, Germany
| | - Sara J Fraser-Miller
- Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand
| | - Silke Neumann
- Department of Pathology, University of Otago, Dunedin, New Zealand
| | - Donata Maciaczyk
- Department of Pathology, University of Otago, Dunedin, New Zealand
| | - Sarah L Young
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Jaroslaw Maciaczyk
- Department of Neurosurgery, University Hospital Bonn, 53179 Bonn, Germany; Department of Surgical Sciences, University of Otago, Dunedin, New Zealand.
| | - Keith C Gordon
- Dodd-Walls Centre for Photonics and Quantum Technologies, Department of Chemistry, University of Otago, Dunedin, New Zealand.
| |
Collapse
|
9
|
Kumar R, Ghosh M, Kumar S, Prasad M. Single Cell Metabolomics: A Future Tool to Unmask Cellular Heterogeneity and Virus-Host Interaction in Context of Emerging Viral Diseases. Front Microbiol 2020; 11:1152. [PMID: 32582094 PMCID: PMC7286130 DOI: 10.3389/fmicb.2020.01152] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2020] [Accepted: 05/06/2020] [Indexed: 12/15/2022] Open
Abstract
Viral emergence is an unpredictable but obvious event, particularly in the era of climate change and globalization. Efficient management of viral outbreaks depends on pre-existing knowledge and alertness. The potential hotspots of viral emergence often remain neglected and the information related to them is insufficient, particularly for emerging viruses. Viral replication and transmission rely upon usurping the host metabolic machineries. So altered host metabolic pathways can be exploited for containment of these viruses. Metabolomics provides the insight for tracing out such checkpoints. Consequently introspection of metabolic alteration at virus-host interface has evolved as prime area in current virology research. Chromatographic separation followed by mass spectrometry has been used as the predominant analytical platform in bulk of the analyses followed by nuclear magnetic resonance (NMR) and fluorescence based techniques. Although valuable information regarding viral replication and modulation of host metabolic pathways have been extracted but ambiguity often superseded the real events due to population effect over the infected cells. Exploration of cellular heterogeneity and differentiation of infected cells from the nearby healthy ones has become essential. Single cell metabolomics (SCM) emerges as necessity to explore such minute details. Mass spectrometry imaging (MSI) coupled with several soft ionization techniques such as electrospray ionization (ESI), laser ablation electrospray ionization (LAESI), matrix assisted laser desorption/ionization (MALDI), matrix-free laser desorption ionization (LDI) have evolved as the best suited platforms for SCM analyses. The potential of SCM has already been exploited to resolve several biological conundrums. Thus SCM is knocking at the door of virus-host interface.
Collapse
Affiliation(s)
- Rajesh Kumar
- Department of Veterinary Physiology and Biochemistry, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Mayukh Ghosh
- Department of Veterinary Physiology and Biochemistry, RGSC, Banaras Hindu University, Mirzapur, India
| | - Sandeep Kumar
- Department of Veterinary Surgery and Radiology, College of Veterinary Sciences, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| | - Minakshi Prasad
- Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, India
| |
Collapse
|