Multi-Epitope Fusion Protein Eg mefAg-1 as a Serodiagnostic Candidate for Cystic Echinococcosis in Sheep

Liu, Tianli; Wang, Xifeng; Tian, Zhixi; Wang, Lixia; Zhang, Xingxing; Qiao, Jun; Meng, Qingling; Gong, Shasha; Chen, Ying; Xue-peng, Cai

doi:10.3347/kjp.2019.57.1.61

Cited by 9 publications

(7 citation statements)

References 31 publications

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“…coli cells ELISA 114 schistosomiasis-positive serum samples/92 healthy buffalo serum samples/14 serum samples from non-schistosomiasis diseases rBSjPGM-BSjRAD23-1-BSj23 Sensitivity: 95.61% Specificity: 97.83% rBSjRAD23-2-BSjPGM-BSj23 Sensitivity: 67.54% Specificity: 100% [ 121 ]/China Bovine cysticercosis/ Taenia saginata rqTSA-25 E . coli BL21-Codon-Plus(DE3)-RIL cells ELISA/immunoblot assay 60 cysticercosis-positive serum samples/30 healthy bovine serum samples/15 serum samples from non-cysticercosis diseases ELISA Sensitivity: 93.3% Specificity: 95.3% Immunoblot no false positive or false negative was observed [ 122 ]/Brazil Sheep cystic echinococcosis/ Echinococcus granulosus reEg mefAg-1 E. coli BL21(DE3) cells Indirect ELISA 86 echinococcosis-positive serum samples/30 echinococcosis-negative serum samples/21 serum samples from non- Echinococcus granulosus diseases Sensitivity: 93.41% Specificity: 99.31% [ 123 ]/China Human onchocerciasis/ Onchocerca volvulus OvNMP-48 – ELISA 101 onchocerciasis-positive serum samples/58 serum samples from healthy individuals/54 serum samples from non-onchocerciasis diseases Sensitivity: 76.0% Specificity: 97.4% [ 124 ]/Belgium Human fascioliasis/ Fasciola hepatica rMEP E . coli BL21 cells Western blot – rMEP was recognized by human positive samples [ 125 ]/Iran Human lymphatic filariasis/ Wuchereria bancrofti Multiepitope antigen E .…”

Section: Rmps Applied In Disease Diagnosismentioning

confidence: 99%

Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis

Gonçalves,

Ribeiro,

Resende

et al. 2024

Microb Cell Fact

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Recombinant multiepitope proteins (RMPs) are a promising alternative for application in diagnostic tests and, given their wide application in the most diverse diseases, this review article aims to survey the use of these antigens for diagnosis, as well as discuss the main points surrounding these antigens. RMPs usually consisting of linear, immunodominant, and phylogenetically conserved epitopes, has been applied in the experimental diagnosis of various human and animal diseases, such as leishmaniasis, brucellosis, cysticercosis, Chagas disease, hepatitis, leptospirosis, leprosy, filariasis, schistosomiasis, dengue, and COVID-19. The synthetic genes for these epitopes are joined to code a single RMP, either with spacers or fused, with different biochemical properties. The epitopes’ high density within the RMPs contributes to a high degree of sensitivity and specificity. The RMPs can also sidestep the need for multiple peptide synthesis or multiple recombinant proteins, reducing costs and enhancing the standardization conditions for immunoassays. Methods such as bioinformatics and circular dichroism have been widely applied in the development of new RMPs, helping to guide their construction and better understand their structure. Several RMPs have been expressed, mainly using the Escherichia coli expression system, highlighting the importance of these cells in the biotechnological field. In fact, technological advances in this area, offering a wide range of different strains to be used, make these cells the most widely used expression platform. RMPs have been experimentally used to diagnose a broad range of illnesses in the laboratory, suggesting they could also be useful for accurate diagnoses commercially. On this point, the RMP method offers a tempting substitute for the production of promising antigens used to assemble commercial diagnostic kits.

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Section: Rmps Applied In Disease Diagnosismentioning

confidence: 99%

Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis

Gonçalves,

Ribeiro,

Resende

et al. 2024

Microb Cell Fact

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“…Meanwhile, before the imaging detection, the sheep's wool was trimmed by scissors, and the diagnosis process and time are also complicated [9,10]. The main method of sheep serological detection is ELISA (enzyme-linked immunosorbent assay); however, it has a limited sensitivity, a lengthy detection time, and difficulty standardizing results between product batches [11]. Therefore, developing an economical and innovative technology to screen the CE in sheep is urgent request.…”

Section: Introductionmentioning

confidence: 99%

Rapid and non‐invasive detection of cystic echinococcosis in sheep based on serum fluorescence spectrum combined with machine learning algorithms

Xu,

Dawuti,

Maimaitiaili

et al. 2024

Journal of Biophotonics

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Cystic echinococcosis (CE) is a grievous zoonotic parasitic disease. Currently, the traditional technology of screening CE is laborious and expensive, developing an innovative technology is urgent. In this study, we combined serum fluorescence spectroscopy with machine learning algorithms to develop an innovative screening technique to diagnose CE in sheep. Serum fluorescence spectra of Echinococcus granulosus sensu stricto‐infected group (n = 63) and uninfected E. granulosus s.s. group (n = 60) under excitation at 405 nm were recorded. The linear support vector machine (Linear SVM), Quadratic SVM, medium radial basis function (RBF) SVM, K‐nearest neighbor (KNN), and principal component analysis‐linear discriminant analysis (PCA‐LDA) were used to analyze the spectra data. The results showed that Quadratic SVM had the great classification capacity, its sensitivity, specificity, and accuracy were 85.0%, 93.8%, and 88.9%, respectively. In short, serum fluorescence spectroscopy combined with Quadratic SVM algorithm has great potential in the innovative diagnosis of CE in sheep.

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“…Then, the sheep were detected using expensive portable imaging equipment and determined by professional imaging physicians, which were scarcity in pasturing areas [5]. ELISA (enzyme-linked immunosorbent assay) is the main method for sheep serological detection, but it has low sensitivity, long detection time, difficult standardization between product batches, and cross-reactivity between different antigens [11,12]. Thus, the novel technology for screening the CE in sheep is urgently needed.…”

Section: Introductionmentioning

confidence: 99%

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

Dawuti

Dou

Zheng

et al. 2023

Journal of Biophotonics

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Cystic echinococcosis (CE) in sheep is a serious zoonotic parasitic disease caused by Echinococcus granulosus sensu stricto (s.s.). Presently, the screening technology for CE in sheep is time-consuming and inaccurate, and novel screening technology is urgently needed. In this work, we combined machine-learning algorithms with Fourier transform infrared (FT-IR) spectroscopy of serum to establish a quick and accurate screening approach for CE in sheep. Serum samples from 77 E. granulosus s.s.-infected sheep to 121 healthy control sheep were measured by FT-IR spectrometer. To optimize the classification accuracy of the serum FI-TR method for the E. granulosus s.s.-infected sheep and healthy control sheep, principal component analysis (PCA), linear discriminant analysis, and support vector machine (SVM) algorithms were used to analyze the data.Among all the bands, 1500-1700 cm À1 band has the best classification effect; its diagnostic sensitivity, specificity, and accuracy of PCA-SVM were 100%, 95.74%, and 96.66%, respectively. The study showed that serum FT-IR spectroscopy combined with machine learning algorithms has great potential for rapid and accurate screening methods for the CE in sheep.

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Multi-Epitope Fusion Protein Eg mefAg-1 as a Serodiagnostic Candidate for Cystic Echinococcosis in Sheep

Cited by 9 publications

References 31 publications

Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis

Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis

Rapid and non‐invasive detection of cystic echinococcosis in sheep based on serum fluorescence spectrum combined with machine learning algorithms

Rapid and accurate screening of cystic echinococcosis in sheep based on serum Fourier‐transform infrared spectroscopy combined with machine learning algorithms

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