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Zecconi A. Current Research on Infectious Diseases of Domestic Animals from a One Health Perspective. Pathogens 2023; 12:pathogens12050724. [PMID: 37242394 DOI: 10.3390/pathogens12050724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
One Health is a well-known strategy for promoting and developing interdisciplinary collaboration across all aspects of health in human, animal, and environmental domains [...].
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Affiliation(s)
- Alfonso Zecconi
- One Health Unit, Department of Biomedical, Surgical and Dental Sciences, Università degli Studi di Milano, 20133 Milan, Italy
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Rui Y, Qiu G. Drug Susceptibility Test and Analysis of Quinolone Resistance Genes in Mycoplasma hyopneumoniae Vaccine Strains and Field Isolates from China. Infect Drug Resist 2023; 16:2075-2087. [PMID: 37063936 PMCID: PMC10094408 DOI: 10.2147/idr.s407579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 04/01/2023] [Indexed: 04/18/2023] Open
Abstract
Background Enrofloxacin is a commonly used animal-specific drug in veterinary clinics. However, this drug has no epidemiological cutoff values (ECVs/ECOFFs) for Mycoplasma hyopneumoniae in CLSI and EUCAST. Defining the epidemiological cutoff values (ECOFFs) of enrofloxacine to Mycoplasma hyopneumoniae (M. hyo) can inform an early detection of bacterial resistance to better manage the resistance prevention and also help in establishing drug resistance breakpoints;. Methods We determined the susceptibility breakpoint of M. hyo to enrofloxacin by the American Clinical and Laboratory Standards Institute (CLSI) standard method based on the PCR of vaccine strains and wild strains drug resistance genes;. Results Eighty strains of M.hyo isolated in Tibet were moderately sensitive (S) to tetracycline, florfenicol, spiramycin, erythromycin thiocyanate, tilmicosin, tiamulin, lincomycin, clindamycin, ofloxacin, enrofloxacin, gentamicin, amikacin, with MICs below 0.5 μg/mL. For vaccine 168L, RM48, and J strains, the susceptibility to the same antibacterial drugs was lower compared to the Tibetan isolates. The resistance of J strain to erythromycin thiocyanate was confirmed. Gene point mutation was confirmed in Quinolone Resistance Determining Regions (QRDR) of HNSH strain Topoisomerase IV subunit A, this finding is compared with the sequencing results of 168L strain reference sequence (Accession number: CP003131). Arg-Lys amino acid mutation (G921A and G1179A) was confirmed for the increase of MIC value involved in M.hyo to enrofloxacine;. Conclusion The cut-off value of M.hyo to enrofloxacin was set as 1 μg/mLby ECOFFinder XL 2010 V2.1.
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Affiliation(s)
- Yapei Rui
- College of Animal Science and Veterinary Medicine, Xinyang Agriculture and Forestry University, Xinyang, Henan, People’s Republic of China
| | - Gang Qiu
- College of Animal Science and Veterinary Medicine, Xinyang Agriculture and Forestry University, Xinyang, Henan, People’s Republic of China
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Abstract
Subcellular compartmentalization is a defining feature of all cells. In prokaryotes, compartmentalization is generally achieved via protein-based strategies. The two main classes of microbial protein compartments are bacterial microcompartments and encapsulin nanocompartments. Encapsulins self-assemble into proteinaceous shells with diameters between 24 and 42 nm and are defined by the viral HK97-fold of their shell protein. Encapsulins have the ability to encapsulate dedicated cargo proteins, including ferritin-like proteins, peroxidases, and desulfurases. Encapsulation is mediated by targeting sequences present in all cargo proteins. Encapsulins are found in many bacterial and archaeal phyla and have been suggested to play roles in iron storage, stress resistance, sulfur metabolism, and natural product biosynthesis. Phylogenetic analyses indicate that they share a common ancestor with viral capsid proteins. Many pathogens encode encapsulins, and recent evidence suggests that they may contribute toward pathogenicity. The existing information on encapsulin structure, biochemistry, biological function, and biomedical relevance is reviewed here.
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Affiliation(s)
- Tobias W. Giessen
- Departments of Biomedical Engineering and Biological Chemistry, University of Michigan Medical School, Ann Arbor, Michigan, USA
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Sotolongo-Rodríguez D, Gomez-Flores R, Navarro-Soto MC, Arellano-Reynoso B, Tamez-Guerra P, Ramírez-Pfeiffer C. Evaluation of the Fluorescence Polarization Assay for the Diagnosis of Brucellosis in Goat Milk. Vet Sci 2022; 9:vetsci9060303. [PMID: 35737355 PMCID: PMC9229069 DOI: 10.3390/vetsci9060303] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 06/09/2022] [Accepted: 06/16/2022] [Indexed: 11/23/2022] Open
Abstract
The milk ring test is a detection assay for antibodies against Brucella in bovine milk. It has good sensitivity but tends to give false positive results. In this study, we standardized the application of the fluorescence polarization assay (FPA) for the detection of antibodies against B.melitensis in goat milk. We obtained negative serum and milk samples from healthy goat flocks in the northern zone of Nuevo León. Positive milk and negative, weak, and strong controls were obtained by mixing volumes of positive control serum with negative control milk. Milk samples were treated with citric acid, after which an FPA was performed. Results were then compared with the Rose Bengal test and the FPA in serum. Milk treatment allowed the quantification of antibodies in samples. Significant differences were found between the 2%, 4%, and 6% groups, compared with the control group (F3, 67 = 17.45, p < 0.0001) but not between the 2% and 4% groups (p = 0.0718). The cut-off value was 74.1 mP, with a sensitivity (Se) of 95% and a specificity (Sp) of 100%. Se and Sp values in field milk samples were 84% and 74.55%, respectively. Despite the FPA test on milk samples showed lower Se and Sp than the FPA test on serum samples, its cutoff may be adjusted. It may be recommended as a screening test in goat milk and become useful for the control and eradication of the disease.
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Affiliation(s)
- Dianelys Sotolongo-Rodríguez
- Departamento de Microbiología e Inmunología, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza C.P. 66450, Nuevo León, Mexico; (D.S.-R.); (P.T.-G.)
| | - Ricardo Gomez-Flores
- Departamento de Microbiología e Inmunología, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza C.P. 66450, Nuevo León, Mexico; (D.S.-R.); (P.T.-G.)
- Correspondence: (R.G.-F.); (C.R.-P.)
| | - Magda Celina Navarro-Soto
- Departamento de Inmunología, Facultad de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Nuevo León, Escobedo C.P. 66054, Nuevo León, Mexico;
| | - Beatriz Arellano-Reynoso
- Departamento de Microbiología e Inmunología, Facultad de Medicina Veterinaria y Zootecnia, Universidad Nacional Autónoma de México, Circuito Exterior S/N, Ciudad Universitaria, Coyoacán C.P. 04510, Ciudad de México, Mexico;
| | - Patricia Tamez-Guerra
- Departamento de Microbiología e Inmunología, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza C.P. 66450, Nuevo León, Mexico; (D.S.-R.); (P.T.-G.)
| | - Carlos Ramírez-Pfeiffer
- Coordinación de Investigación Institucional, Universidad México Americana del Norte, Ciudad Reynosa C.P. 88640, Tamaulipas, Mexico
- Correspondence: (R.G.-F.); (C.R.-P.)
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Dey J, Mahapatra SR, Lata S, Patro S, Misra N, Suar M. Exploring Klebsiella pneumoniae capsule polysaccharide proteins to design multiepitope subunit vaccine to fight against pneumonia. Expert Rev Vaccines 2022; 21:569-587. [PMID: 34932430 DOI: 10.1080/14760584.2022.2021882] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND Klebsiella pneumoniae is an emerging human pathogen causing neonatal lung disease, catheter-associated infections, and nosocomial outbreaks with high fatality rates. Capsular polysaccharide (CPS) protein plays a major determinant in virulence and is considered as a promising target for vaccine development. RESEARCH DESIGN AND METHODS In this study, we used immunoinformatic approaches to design a multi-peptide vaccine against K. pneumonia. The epitopes were selected through several immune filters, such as antigenicity, conservancy, nontoxicity, non-allergenicity, binding affinity to HLA alleles, overlapping epitopes, and peptides having common epitopes. RESULTS Finally, a construct comprising 2 B-Cell, 8 CTL, 2 HTL epitopes, along with adjuvant, linkers was designed. Peptide-HLA interaction analysis showed strong binding of these epitopes with several common HLA molecules. The in silico immune simulation and population coverage analysis of the vaccine showed its potential to evoke strong immune responses.. Further, the interaction between vaccine and immune was evaluated by docking and simulation, revealing high affinity and complex stability. Codon adaptation and in silico cloning revealed higher expression of vaccine in E. coli K12 expression system. CONCLUSIONS Conclusively, the findings of the present study suggest that the designed novel multi-epitopic vaccine holds potential for further experimental validation against the pathogen.
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Affiliation(s)
- Jyotirmayee Dey
- School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India
| | - Soumya Ranjan Mahapatra
- School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India
| | - S Lata
- Kalinga Institute of Dental Sciences, KIIT Deemed to Be University, Bhubaneswar, India
| | - Shubhransu Patro
- Kalinga Institute of Medical Sciences, KIIT Deemed to Be University, Bhubaneswar, India
| | - Namrata Misra
- School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India.,KIIT-Technology Business Incubator (KIIT-TBI), Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India
| | - Mrutyunjay Suar
- School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India.,KIIT-Technology Business Incubator (KIIT-TBI), Kalinga Institute of Industrial Technology (KIIT), Deemed to Be University, Bhubaneswar, India
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Sharma A, Pal S, Panwar A, Kumar S, Kumar A. In-silico immunoinformatic analysis of SARS-CoV-2 virus for the development of putative vaccine construct. Immunobiology 2021; 226:152134. [PMID: 34474252 PMCID: PMC8404695 DOI: 10.1016/j.imbio.2021.152134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 05/26/2021] [Accepted: 08/24/2021] [Indexed: 12/24/2022]
Abstract
COVID-19 (CoronaVirus disease 2019) is caused by the SARS-CoV-2 virus (severe acute respiratory syndrome corona virus 2). SARS-CoV-2 virus is highly contagious and affects the human respiratory tract resulting in symptoms such as high fever, body ache, cough, dysfunctions of tastebuds and smelling sense of body. The objective of the present study involves immunoinformatic analysis to predict COVID-19 protein for vaccine construct based on the genomic information SARS-CoV-2 virus. At present, as per WHO estimates, around 133 COVID-19 novel vaccines under development. Three amino acid sequences of SARS-CoV-2 were retrieved from the NCBI database for the analysis of vaccine construct. This study involves computational and immunoinformatic methods. The Immunoinformatic tools used in the present study are NetCTL server, IFN epitope server, Toxin PRED, BCPred, CTL + HTL + ADJUVANTS + LINKERS, AlgPredserver, VaxiJenserver, ProtParam to predict vaccine construct. The secondary and tertiary structure prediction is done by PSIPRED, I-TASSER, Galaxy refine, prosA + Ramachandran. Finally, docking of the vaccine constructs and ligand was done with the help of Cluspro 2.0. C-ImmSimm webserver to simulate the potential vaccine construct. The present study demonstrated three potential Vaccine constructs for the SARS-CoV-2 virus, which were docked with TLR8 (Toll-likereceptor8). Interestingly from these, all constructs one having a high potential for the inhibition effect of the SARS-CoV-2virus. Immunological simulation data shows significant elevated amount of memory B cell; also, the high response was seen in TH(Helper) and TC(cytotoxic) cell population from the vaccine construct proposed in the current study. Hence, these constructs are suitable vaccine candidates that might be useful in developing a novel vaccine.
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Affiliation(s)
- Abhishek Sharma
- Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India
| | - Surinder Pal
- Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India
| | - Anil Panwar
- Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India
| | - Suresh Kumar
- University School of Biotechnology, Guru Gobind Singh Indraprastha University, Dwarka, Sector 16C, New Delhi 110075, India.
| | - Ashok Kumar
- Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh 160014, India.
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