Evaluation of Antibody Response Directed against Porcine Reproductive and Respiratory Syndrome Virus Structural Proteins

Luong, H; Lai, Huong Tl.; Vu, Hiep L.X.

doi:10.3390/vaccines8030533

Cited by 10 publications

(9 citation statements)

References 50 publications

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“…2 , the predictive machine learning models did perform well when predicting immunogenic cross-reactivity for other field isolates that were dissimilar from the data used for model building, although these were still subtype 1. Since we used secondary data, we were unable to obtain an equal number of observations for all genome segments that reduced the number of compared pairs upon inclusion of ORF2 in the analysis, nor were we able to include ORFs 6 and 7, which also play a role in PRRSV immune responses ( 28 , 71 – 75 ). Including these ORFs would provide a broader picture of the immune response landscape and cross-reactivity estimation.…”

Section: Discussionmentioning

confidence: 99%

“…Although numerous efforts have been made to correlate specific genetic differences to the clinical presentation of disease ( 8 , 12 , 23 – 26 ) and host immune response ( 27 , 28 ), the question of cross-protection remains largely unanswered. Stronger anamnestic immune responses, reducing clinical symptoms or sometimes preventing reinfection, have been documented when pigs were challenged with homologous viruses, and less consistent immune responses were observed when challenged with heterologous viruses ( 27 , 29 , 30 ).…”

Section: Introductionmentioning

confidence: 99%

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Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning

et al. 2023

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Understanding cross-protection between cocirculating PRRSV1 strains is crucial to reducing losses associated with PRRS outbreaks on farms. While experimental studies to determine cross-protection are instrumental, these in vivo studies are not always practical or timely for the many cocirculating and emerging PRRSV strains. In this study, we demonstrate the ability to rapidly estimate potential immunologic cross-reaction between different PRRSV1 strains in silico using sequence data routinely collected by production systems. These models can provide fast turn-around information crucial for improving PRRS management decisions such as selecting vaccines/live virus inoculation to be used on farms and assessing the risk of outbreaks by emerging strains on farms previously exposed to certain PRRSV strains and vaccine development among others.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning

et al. 2023

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“…As described, LIPS assays can detect antibodies associated with over thirty human and animal infectious diseases [ 9 ]. Since the 2015 review article, additional LIPS tests continue to be developed to detect diagnostically useful antibodies against other human and animal pathogens including Ebola virus [ 47 ], toxoplasmosis [ 48 , 49 ], norovirus [ 50 ], African swine fever virus [ 51 , 52 ], elephant endotheliotropic herpesvirus (EEHV) [ 53 ], tick-borne encephalitis virus (TBEV) [ 54 ], porcine reproductive and respiratory syndrome virus (PRRSV) [ 55 ] and Severe Fever with Thrombocytopenia syndrome virus (SFTSV) [ 56 , 57 ]. A LIPS test for Severe Fever with SFTSV found additional seropositive cases of this new viral disease that were not diagnosed during hospital examination [ 56 ].…”

Section: Lips Autoantibody Profiling Of Autoimmune and Infectious Dis...mentioning

confidence: 99%

Advancing Luciferase-Based Antibody Immunoassays to Next-Generation Mix and Read Testing

Burbelo

Iadarola

2023

Biosensors

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Antibody measurements play a central role in the diagnosis of many autoimmune and infectious diseases. One antibody detection technology, Luciferase Immunoprecipitation Systems (LIPS), utilizes genetically encoded recombinant luciferase antigen fusion proteins in an immunoglobulin capture format to generate robust antibody measurement with high diagnostic sensitivity and specificity. The LIPS technology has been highly useful in detecting antibodies for research diagnostics and the discovery of new autoantigens. The methodology of the assay requires immunoglobulin binding reagents such as protein A/G beads and washing steps to process the immune complex before antibody levels are measured by light production with a luminometer. Recently, simplified mix and read immunoassays based on split components of the nanoluciferase enzyme in a complementation format have been developed for antibody measurements without requiring immunoglobulin-capturing beads or washing steps. The mix and read immunoassays utilize two or three nanoluciferase fragments which when reconstituted via antigen-specific antibody binding generate a functional enzyme. At present, these split luciferase tests have been developed mainly for detecting SARS-CoV-2 antibodies. Here, we describe the traditional LIPS technology and compare it to the new split luciferase methodologies focusing on their technical features, strengths, limitations, and future opportunities for diagnostic research, and clinical applications.

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“…Luciferase based antibody diagnostics has previously been reported for porcine diseases using luciferase immunoprecipitation systems (LIPS) [29,30] and luciferase-linked antibody capture assays (LACAs) [31]. Both LIPS and LACAs detect and quantify antigen specific antibodies indirectly through the capture of antibodies that are bound to recombinant luciferase tagged proteins of interest [31,32].…”

Section: Introductionmentioning

confidence: 99%

Capsid Specific Antibody Responses of Domestic Pigs Immunized with Low Virulent African Swine Fever Virus

Tng¹,

Al-Adwani²,

Pauletto³

et al. 2023

Preprint

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African swine fever (ASF) is a lethal disease in pigs that has grave socio-economic implications worldwide. For the development of vaccines against African swine fever virus (ASFV), immunogenic antigens that generate protective immune responses need to be identified. There are over 150 viral proteins - many of which are uncharacterized – and humoral immunity to ASFV has not been closely examined. To profile antigen specific antibody responses, we developed luciferase-linked antibody capture assays (LACAs) for a panel of ASFV capsid proteins and screened sera from inbred and outbred animals that were previously immunized with low virulent ASFV before challenge with virulent ASFV. Antibodies to B646L/p72, D117L/p17, M1249L and E120R/p14.5 were detected in this study; however, we were unable to detect B438L specific antibodies. Although OURT88/1 induced viremia was observed in the presence of anti-B646L/p72 antibodies as well as B602L antibodies they were associated with recovery from lethal disease in inbred and outbred animals. However, these antibodies did not correlate with protection against Georgia 2007/1 infection. Antibody responses against M1249L and E120R/p14.5 were observed in animals with reduced clinical signs and viremia. Here we present LACAs as a tool for targeted profiling of antigen specific antibody responses to inform vaccine development.

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Evaluation of Antibody Response Directed against Porcine Reproductive and Respiratory Syndrome Virus Structural Proteins

Cited by 10 publications

References 50 publications

Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning

Predicting Antigenic Distance from Genetic Data for PRRSV-Type 1: Applications of Machine Learning

Advancing Luciferase-Based Antibody Immunoassays to Next-Generation Mix and Read Testing

Capsid Specific Antibody Responses of Domestic Pigs Immunized with Low Virulent African Swine Fever Virus

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