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32. Biophysical properties of foamed and solid polymers used in orthotics and prostheticsKlemen Bohinc, Anže Abram, Anamarija Zore, Roman Štukelj, Ana Lenarčič, Rajko Vidrih, Andrijana Sever Škapin, 2021, original scientific article Abstract: Orthotic and prosthetic materials should have good mechanical and antibacterial properties. Therefore, in our study, we consider four common foamed closed-cells and two solid polymeric materials regarding their mechanical behaviour and tendency for bacterial adhesion. For all materials, the surface roughness, hydrophobicity, zeta potential, tensile properties, hardness and CIE color parameters were measured. We found that foamed polymeric materials have higher roughness, higher hydrophobicity, lower Young's modulus, lower maximum tensile strength and lower hardness than solid materials. Bacterial adhesion test measurements based on observation by scanning electron microscopy show much a lower adhesion extent of S. aureus on solid materials than on foamed materials. The measured biophysical properties could be the key data for users to select the optimal materials.
Keywords: surface characterization, bacterial adhesion, foamed materials, prosthetic and orthotic material, surfaces
Published in DiRROS: 22.05.2023; Views: 432; Downloads: 313
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34. Proteolytically activated CRAC effectors through designed intramolecular inhibitionVid Jazbec, Roman Jerala, Mojca Benčina, 2022, original scientific article Keywords: STIM1, Orai, TEV protease, PPV protease, calcium signaling, coiled-coil peptides
Published in DiRROS: 20.07.2022; Views: 875; Downloads: 525
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35. Organoidi glioblastoma kot model za preučevanje odpornosti na terapijoAnamarija Habič, Bernarda Majc, Andrej Porčnik, Roman Bošnjak, Boštjan Markelc, Maja Čemažar, Tamara Lah Turnšek, Barbara Breznik, Metka Novak, 2022, published scientific conference contribution abstract Keywords: glioblastom, organoidi, odpornost, možganski rak, možganski tumor, onkologija
Published in DiRROS: 16.06.2022; Views: 716; Downloads: 274
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36. Odpornost glioblastoma na radioterapijo : vpliv rakavih matičnih celic in mikroo[ko]lja tumorjaBarbara Breznik, Bernarda Majc, Anamarija Habič, Urška Ušeničnik, Andrej Porčnik, Roman Bošnjak, Jernej Mlakar, Marija Skoblar Vidmar, Tanja Jesenko, Maja Čemažar, Tamara Lah Turnšek, Metka Novak, 2022, published scientific conference contribution (invited lecture) Abstract: Glioblastom je najpogostejši možganski tumor pri odraslih z zelo slabo prognozo preživetja bolnikov. Ta je posledica odpornosti glioblastoma na standardno zdravljenje, ki vključuje radioterapijo in kemoterapijo. Z namenom načrtovanja učinkovitejših pristopov zdravljenja preučujemo biološke mehanizme odpornosti glioblastoma na radioterapijo s poudarkom na mikrookolju tumorja in rakavih matičnih celicah. V predkliničnih raziskavah uporabljamo napredne in personalizirane celične modele, ki posnemajo mikrookolje tumorja v bolnikih in z večjo natančnostjo napovedo odziv bolnika na zdravljenje. Hkrati so takšni modeli pomembni za testiranje novih pristopov za zdravljenje kot je imunoterapija.
Keywords: glioblastom, mikrookolje, organoidi, možganski rak, možganski tumor, onkologija
Published in DiRROS: 16.06.2022; Views: 831; Downloads: 243
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38. Robust saliva-based RNA extraction-free one-step nucleic acid amplification test for mass SARS-CoV-2 monitoringEva Rajh, Tina Šket, Arne Praznik, Petra Sušjan, Alenka Šmid, Dunja Urbančič, Irena Mlinarič-Raščan, Polona Kogovšek, Tina Demšar, Mojca Milavec, Katarina Prosenc, Žiga Jensterle, Mihaela Zidarn, Viktorija Tomič, Gabriele Turel, Tatjana Lejko-Zupanc, Roman Jerala, Mojca Benčina, 2021, original scientific article Abstract: Early diagnosis with rapid detection of the virus plays a key role in preventing the spread of infection and in treating patients effectively. In order to address the need for a straightforward detection of SARS-CoV-2 infection and assessment of viral spread, we developed rapid, sensitive, extraction-free one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and reverse transcription loop-mediated isothermal amplification (RT-LAMP) tests for detecting SARS-CoV-2 in saliva. We analyzed over 700 matched pairs of saliva and nasopharyngeal swab (NSB) specimens from asymptomatic and symptomatic individuals. Saliva, as either an oral cavity swab or passive drool, was collected in an RNA stabilization buffer. The stabilized saliva specimens were heat-treated and directly analyzed without RNA extraction. The diagnostic sensitivity of saliva-based RT-qPCR was at least 95% in individuals with subclinical infection and outperformed RT-LAMP, which had at least 70% sensitivity when compared to NSBs analyzed with a clinical RT-qPCR test. The diagnostic sensitivity for passive drool saliva was higher than that of oral cavity swab specimens (95% and 87%, respectively). A rapid, sensitive one-step extraction-free RT-qPCR test for detecting SARS-CoV-2 in passive drool saliva is operationally simple and can be easily implemented using existing testing sites, thus allowing high-throughput, rapid, and repeated testing of large populations. Furthermore, saliva testing is adequate to detect individuals in an asymptomatic screening program and can help improve voluntary screening compliance for those individuals averse to various forms of nasal collections.
Keywords: SARS-CoV-2, COVID-19, COVID-19 serological testing, real-time polymerase chain reaction, saliva, oral cavity swab, passive drool, pooling
Published in DiRROS: 09.11.2021; Views: 1309; Downloads: 604
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39. Treatment outcome clustering patterns correspond to discrete asthma phenotypes in childrenIvana Banić, Mario Lovrić, Gerald Cuder, Roman Kern, Matija Rijavec, Peter Korošec, Mirjana Kljajić-Turkalj, 2021, original scientific article Abstract: Despite widely and regularly used therapy asthma in children is not fully controlled. Recognizing the complexity of asthma phenotypes and endotypes imposed the concept of precision medicine in asthma treatment. By applying machine learning algorithms assessed with respect to their accuracy in predicting treatment outcome, we have successfully identified 4 distinct clusters in a pediatric asthma cohort with specific treatment outcome patterns according to changes in lung function (FEV1 and MEF50), airway inflammation (FENO) and disease control likely affected by discrete phenotypes at initial disease presentation, differing in the type and level of inflammation, age of onset, comorbidities, certain genetic and other physiologic traits. The smallest and the largest of the 4 clusters- 1 (N = 58) and 3 (N = 138) had better treatment outcomes compared to clusters 2 and 4 and were characterized by more prominent atopic markers and a predominant allelic (A allele) effect for rs37973 in the GLCCI1 gene previously associated with positive treatment outcomes in asthmatics. These patients also had a relatively later onset of disease (6 + yrs). Clusters 2 (N = 87) and 4 (N = 64) had poorer treatment success, but varied in the type of inflammation (predominantly neutrophilic for cluster 4 and likely mixed-type for cluster 2), comorbidities (obesity for cluster 2), level of systemic inflammation (highest hsCRP for cluster 2) and platelet count (lowest for cluster 4). The results of this study emphasize the issues in asthma management due to the overgeneralized approach to the disease, not taking into account specific disease phenotypes.
Keywords: asthma, allergy and immunology, pediatrics, machine learning, treatment outcome, phenotypes, childhood asthma, clustering
Published in DiRROS: 16.08.2021; Views: 1117; Downloads: 764
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40. Somatic mutations and the risk of undifferentiated autoinflammatory disease in MDS : an under-recognized but prognostically important complicationAbdulla Watad, Mark Kačar, Nicola Luigi Bragazzi, Qiao Zhou, Miriam Jassam, Jan Taylor, Eve Roman, Alexandra Smith, Richard A. Jones, Howard Amital, 2021, original scientific article Abstract: Objectives: We theorized that myelodysplastic syndrome (MDS) with somatic mutations and karyotype abnormalities are associated with autoinflammation, and that the presence of autoinflammatory disease affected prognosis in MDS. Methods: One hundred thirty-four MDS patients were assessed for the prevalence of autoinflammatory complications and its link with karyotypes and somaticmutation status. Autoinflammatory complications were described either as well-defined autoinflammatory diseases (AD) or undifferentiated "autoinflammatory disease" (UAD) (defined as CRP over 10.0 mg/L on five consecutive occasions, taken at separate times and not explained by infection). Several patient characteristics including demographic, clinical, laboratory, cytogenetics charts, and outcomes, were compared between different groups. Results: Sixty-two (46.3%) patients had an autoinflammatory complication manifesting as arthralgia (43.5% vs. 23.6%, p = 0.0146), arthritis (30.6% vs. 15.3%, p = 0.0340), skin rash (27.4% vs. 12.5%, p = 0.0301), pleuritis (14.5% vs. 4.2%, p = 0.0371) and unexplained fever (27.4% vs. 0%, p < 0.0001). AD were found in 7.4% of MDS patients (with polymyalgia rheumatic being the most frequently one). Classical autoimmune diseases were found only in 4 MDS patients (3.0%). Transcription factor pathway mutations (RUNX1, BCOR, WTI, TP53) (OR 2.20 [95%CI 1.02-4.75], p = 0.0451) and abnormal karyotypes (OR 2.76 [95%CI 1.22-6.26], p = 0.0153) were associated with autoinflammatory complications. Acute leukaemic transformation was more frequent in MDS patients with autoinflammatory features than those without (27.4% vs. 9.7%, p = 0.0080). Conclusions: Autoinflammatory complications are common inMDS. Somatic mutations of transcription factor pathways and abnormal karyotypes are associated with greater risk of autoinflammatory complications, which are themselves linked to malignant transformation and a worse prognosis.
Keywords: myelodysplastic syndromes - genetics, autoinflammation, undifferentiated autoinflammatory disease, molecular characterization, somatic mutations
Published in DiRROS: 31.03.2021; Views: 1329; Downloads: 896
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