Onomástica griega, fraseología, lengua poética indoeuropea: para una reelaboración de Fr. Bechtel, Die historischen Personennamen des Griechischen

The present paper relies on the materials from the files for a reelaboration of Friedrich Bechtel’s epoch-making Die historischen Personennamen des Griechischen(1917: HPNG), that, having basically the same structure as HPNG, will integrate the names of the 1st millenium, which were still not known at its time, and those attested in Linear B, as well as the phraseological collocations, poetic or prosaistic, underlying them, which were taken into account only sporadically in HPNG, and, if possible, their parallels and eventual IE background. The names discussed are classified into three groups: those attested only in 1st millennium Greek, those attested also in Mycenaean, and those attested exclusively in Mycenaean. Special attention is dedicated to four names which reflect inherited lexicon and Indo-European poetic phraseology, namely Ἁρμόδικoς (and Ἁρμoδίκᾱ), Βοᾱ́θοος, Εὐρυφάων (and Εὐρύφαντος), and Φέριστος, Φέρτατος.

Prospects of using conservative linear B-cell epitopes of influenza virus A neuraminidase for induction of cross-protective immune response

BACKGROUND: Influenza is a dangerous, widespread infectious disease that takes thousands of lives during annual epidemics, and also causes significant damage to the countrys economy. The most effective means of fighting the influenza virus is vaccination of the population. Due to the variability of influenza viruses, the strain composition of influenza vaccines must be updated annually. In this regard, an urgent task is to improve the existing influenza vaccines in order to expand their spectrum of action. One of the promising approaches is the targeted induction of the humoral immune response to the conservative linear epitopes of influenza A virus neuraminidase. AIM: This project is aimed at assessing the immunogenicity and cross-protective activity of conserved neuraminidase epitopes in order to select promising targets for the targeted design of broad-spectrum influenza vaccines. MATERIALS AND METHODS: Peptides corresponding to linear B-cell epitopes of neuraminidase were chemically synthesized de novo. The peptides were conjugated with keyhole limpet hemocyanin. CBA mice were immunized and challenged with A/PR/8/34 (H1N1) and A/Philippines/2/1982 (H3N2) viruses at a dose of 3 LD50. The survival rate of the animals was assessed within 14 days after infection. The immunogenicity of the peptides was assessed in a standard enzyme-linked immunosorbent assay using the recombinant neuraminidase proteins of the viruses A/California/07/2009 (H1N1) and A/Hong Kong/4801/2014 (H3N2) as antigen. RESULTS: Immunization of neuraminidase with peptides MNPNQKIITIGS and ILRTQESEC, but not DNWKGSNRP, protected mice from lethality caused by the H1N1 and/or H3N2 virus. The protective potential of the peptides correlated with the levels of antineuraminidase antibodies after immunization. CONCLUSIONS: The presence of a cross-protective potential in two conserved linear B-cell epitopes of influenza A neuraminidase (MNPNQKIITIGS and ILRTQESEC) allows them to be recommended as a target for the development of a broad-spectrum influenza vaccine.

Pengaruh Model Pembelajaran Berbasis Masalah Terhadap Hasil Belajar Fisika Pada Materi Cahaya Kleas VIII SMP Negeri 2 Tambusai TP. 2020/2021

Penelitian ini bertujuan untuk mengetahui pengaruh model PBM terhadap hasil belajar fisika pada materi cahaya diSMP Negeri 2 Tambusai. Metode yang digunakan penelitian ini adalah metode eksperimen semu dengan populasi penelitian yaitu siswa kelas VIII di SMP Negeri 2 Tambusai TP. 2020/2021. Teknik sampel Purposive Sampling, diperoleh sampel penelitian kelas eksperimen (VIII1) menggunakan model PBM dan kelas kontrol (VIII2) menggunakan model pembelajaran konvensional. Intrumen yang digunakan adalah tes hasil belajar dengan bentuk pilihan berganda sebanyak 20 soal. Sebelum mendapatkan perlakuan kepada kedua, diperoleh hasil rata-rata skor pretes kelas eksperimen 38,80 dengan standar deviasi 13,87 dan hasil rata-rata skor pretes kelas kontrol 38,20 dengan standar deviasi 11,26. Setelah dilakukan pembelajaran yang berbeda, diperoleh hasil rata-rata skor posttes kelas eksperimen 71,00 dengan standar deviasi 10,90 dan hasil rata-rata skor posttes kelas kontrol 65,80 dengan standar deviasi 9,97. Hasil uji prasyarat data postes menyatakan sampel berdistribusi normal dan homogen. Selanjutnya dilakukan uji t satu pihak (α=0,05) dan uji regresi sederhana. Dari hasil uji t satu pihak maka diperoleh thitung> ttabel (1,761 > 1,677) dengan taraf signifikan 0,042. Dan untuk hasil uji regresi sederhana diperoleh Y = 24,64+0,61X. Pada persamaan tersebut kofisien arah regresi linear (b) = 0,61 menunjukkan bahwa jika aktivitas siswa meningkat sebesar 1 maka akan meningkat hasil belajar siswa akan meningkat sebesar 0,61. Maka disimpulkan ada pengaruh yang signifikan model PBM terhadap hasil belajar fisika kelas VIII SMP Negeri 2.

Immunodominant linear B cell epitopes in the spike and membrane proteins of SARS-CoV-2 identified by immunoinformatics prediction and immunoassay

SARS-CoV-2 continues to infect an ever-expanding number of people, resulting in an increase in the number of deaths globally. With the emergence of new variants, there is a corresponding decrease in the currently available vaccine efficacy, highlighting the need for greater insights into the viral epitope profile for both vaccine design and assessment. In this study, three immunodominant linear B cell epitopes in the SARS-CoV-2 spike receptor-binding domain (RBD) were identified by immunoinformatics prediction, and confirmed by ELISA with sera from Macaca fascicularis vaccinated with a SARS-CoV-2 RBD subunit vaccine. Further immunoinformatics analyses of these three epitopes gave rise to a method of linear B cell epitope prediction and selection. B cell epitopes in the spike (S), membrane (M), and envelope (E) proteins were subsequently predicted and confirmed using convalescent sera from COVID-19 infected patients. Immunodominant epitopes were identified in three regions of the S2 domain, one region at the S1/S2 cleavage site and one region at the C-terminus of the M protein. Epitope mapping revealed that most of the amino acid changes found in variants of concern are located within B cell epitopes in the NTD, RBD, and S1/S2 cleavage site. This work provides insights into B cell epitopes of SARS-CoV-2 as well as immunoinformatics methods for B cell epitope prediction, which will improve and enhance SARS-CoV-2 vaccine development against emergent variants.

BCEPS: A Web Server to Predict Linear B Cell Epitopes with Enhanced Immunogenicity and Cross-Reactivity

Prediction of linear B cell epitopes is of interest for the production of antigen-specific antibodies and the design of peptide-based vaccines. Here, we present BCEPS, a web server for predicting linear B cell epitopes tailored to select epitopes that are immunogenic and capable of inducing cross-reactive antibodies with native antigens. BCEPS implements various machine learning models trained on a dataset including 555 linearized conformational B cell epitopes that were mined from antibody–antigen protein structures. The best performing model, based on a support vector machine, reached an accuracy of 75.38% ± 5.02. In an independent dataset consisting of B cell epitopes retrieved from the Immune Epitope Database (IEDB), this model achieved an accuracy of 67.05%. In BCEPS, predicted epitopes can be ranked according to properties such as flexibility, accessibility and hydrophilicity, and with regard to immunogenicity, as judged by their predicted presentation by MHC II molecules. BCEPS also detects if predicted epitopes are located in ectodomains of membrane proteins and if they possess N-glycosylation sites hindering antibody recognition. Finally, we exemplified the use of BCEPS in the SARS-CoV-2 Spike protein, showing that it can identify B cell epitopes targeted by neutralizing antibodies.

Immunodominant and neutralizing linear B cell epitopes spanning the spike and membrane proteins of Porcine Epidemic Diarrhea Virus

Porcine Epidemic Diarrhea Virus (PEDV) is the causative agent of PED, an enteric disease that causes high mortality rates in piglets. PEDV is an alphacoronavirus that has high genetic diversity. Insights into neutralizing B cell epitopes of all genetically diverse PEDV strains are of importance, particularly for designing a vaccine that can provide broad protection against PEDV. In this work, we aimed to explore the landscape of linear B cell epitopes on the spike (S) and membrane (M) proteins of global PEDV strains. All amino acid sequences of the PEDV S and M proteins were retrieved from the NCBI database and grouped. Immunoinformatics-based methods were next developed and used to identify putative linear B cell epitopes from 14 and 5 consensus sequences generated from distinct groups of the S and M proteins, respectively. ELISA testing predicted peptides with PEDV-positive sera revealed 9 novel immunodominant epitopes on the S protein. Importantly, 7 of these novel immunodominant epitopes and other subdominant epitopes were demonstrated to be neutralizing epitopes by neutralization-inhibition assay. Additionally, our study shows the first time that M protein is also the target of neutralizing antibodies as 7 neutralizing epitopes in the M protein were identified. Conservancy analysis revealed that epitopes in the S1 subunit are more variable than those in the S2 subunit and M protein. In this study, we offer the immunoinformatics approach for linear B cell epitope identification and a more complete profile of linear B cell epitopes across the PEDV S and M proteins, which may contribute to the development of a greater PEDV vaccine as well as peptide-based immunoassays.

IMAGINING CRETAN SCRIPTS: THE INFLUENCE OF VISUAL MOTIFS ON THE CREATION OF SCRIPT-SIGNS IN BRONZE AGE CRETE

What's in a sign? What is there to be ‘seen’ in a sign? This paper sets out to explore the sources and processes of sign creation in the scripts of the Bronze Age Aegean, namely Cretan Hieroglyphic and Linear A, in use on Crete from c. 1900–1600 bce (Middle Minoan IB/II–Middle Minoan III) and c. 1800–1450 bce (Middle Minoan IIA–Late Minoan IB) respectively. Linear B, developed out of Linear A to write Greek (c. 1450–1190 bce), will also be touched upon where relevant. By investigating contemporary iconographic production and putting forward a methodological framework for the analysis and interpretation of visual motifs, a theory will be tentatively proposed for understanding the process(es) of selection of sign shapes, their incorporation into a script as script-signs and their transmission from one script onto a graphically related one. The underlying research questions leading this enquiry are the following: how did ‘images’ find their way into script(s) to become ‘signs’ in the Aegean context? Are we able to reconstruct such a process to shed light on the origin of script-signs?

Identification of Immunogenic Linear B-Cell Epitopes in C. burnetii Outer Membrane Proteins Using Immunoinformatics Approaches Reveals Potential Targets of Persistent Infections

Coxiella burnetii is a global, highly infectious intracellular bacterium, able to infect a wide range of hosts and to persist for months in the environment. It is the etiological agent of Q fever—a zoonosis of global priority. Currently, there are no national surveillance data on C. burnetii’s seroprevalence for any South American country, reinforcing the necessity of developing novel and inexpensive serological tools to monitor the prevalence of infections among humans and animals—especially cattle, goats, and sheep. In this study, we used immunoinformatics and computational biology tools to predict specific linear B-cell epitopes in three C. burnetii outer membrane proteins: OMP-H (CBU_0612), Com-1 (CBU_1910), and OMP-P1 (CBU_0311). Furthermore, predicted epitopes were tested by ELISA, as synthetic peptides, against samples of patients reactive to C. burnetii in indirect immunofluorescence assay, in order to evaluate their natural immunogenicity. In this way, two linear B-cell epitopes were identified in each studied protein (OMP-H(51–59), OMP-H(91–106), Com-1(57–76), Com-1(191–206), OMP-P1(197–209), and OMP-P1(215–227)); all of them were confirmed as naturally immunogenic by the presence of specific antibodies in 77% of studied patients against at least one of the identified epitopes. Remarkably, a higher frequency of endocarditis cases was observed among patients who presented an intense humoral response to OMP-H and Com-1 epitopes. These data confirm that immunoinformatics applied to the identification of specific B-cell epitopes can be an effective strategy to improve and accelerate the development of surveillance tools against neglected diseases.