Diagnostic significance of ultrasonographic score in detection of gestational diabetes mellitus

Cilj: Evaluirati dijagnostičku pouzdanost i efikasnost ultrazvučnih markera gestacionog dijabetesa (GDM) i predloženog ultrazvučnog skora u otkrivanju GDM-a. Metode: 132 trudnice sa jednoplodnim trudnoćama gestacione starosti veće od 24. nedelje gestacije i prisutnim najmanje jednim faktorom rizika za GDM, bilo maternalnim ili vezanog za trudnoću, podvrgnute su ultrazvučnom pregledu, a nakon toga oralnom testu opterećenja sa 100 g glukoze (oGTT). Ultrazvučni marker mereni ili determinisani tokom pregleda su: fetalno potkožno masno tkivo, asimetrična makrozomija, obim i širina fetalnog srca, debljina interventrikularnog septuma, nezreli placentalni izgled, intenzivirani fetalni disajni pokreti, polihidramnion i placentalna debljina. Svaki od prisutnih pomenutih markera dobio je jedan poen, a u cilju formiranja ultrazvučnog skora za otkrivanje šećerne bolesti trudnica (UGDS). Rezultati: Svi ultrazvučni markeri GDM-a su pozitivno korelirani sa bolešću, P < 0.0001. Najjači nezavisni prediktor GDMa je nezreli placentalni izgled (RR 49.09 95% CI 7,04-342,28, P < 0.0001). Receiver operator characteristics (ROC) analiza demonstrirala je površinu ispod krive od 96.9%, potvrđujući dobru sposobnost UGDS-a da razlikuje patološke od normalnih vrednosti oGTT-a. Kao granična vrednost UGDS-a predložen je skor jednak ili veći od 4, koji rezultuje sveukupnom tačnošću od 92%, senzitivnošću od 93.2%, specifičnošću od 92%, pozitivnom prediktivnom vrednošću od 85,4% i negativnom prediktivnom vrednošću od 96,4%. Zaključci: Rezultati disertacije sugerišu da je UGDS dobar prediktor GDM-a. UGDS može biti dodatak trenutnim skrining metodama za detekciju GDM-a...Objective: To evaluate diagnostic accuracy and efficiency of ultrasound markers of gestational diabetes (GDM) and propose an ultrasound based scoring system suitable for screening (UGDS). Methods: 132 women with singleton pregnancies and established maternal and/or pregnancy related risk factors for GDM were scanned at/or after 24 weeks gestation followed by administration of a 3 hour 100-gram oral glucose tolerance test (oGTT). A number of ultrasound markers were determined/measured, including fetal adipose subcutaneous tissue, asymmetrical macrosomy, cardiac circumference, cardiac width, and interventricular septum thickness, immature appearance of placenta, intensified breathing movements, polyhydramnios and placental thickness. Each ultrasound GDM marker was assigned one point to create the ultrasound gestational diabetes screening score (UGDS). Results: All ultrasound GDM markers were positively correlated to the disease P < 0.0001. The strongest independent predictor of GDM was an immature appearance of placenta (RR 49.09 95% CI 7,04-342,28, P < 0.0001). Receiver operator characteristics (ROC) showed an area under the curve of 96.9% confirming good ability of UGDS to discriminate between positive and negative oGTT. We propose a UGDS score of 4 providing diagnostic efficiency of 92%, sensitivity 93.2%, specificity 92%, positive predictive value 85,4% and negative predictive value 96,4%. Conclusions: This study suggests that UGDS is a good predictor of GDM. UGDS may be an adjunct to current screening tools for GDM..

Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic toxins

Hemodialysis (HD) removes nitrogenous waste products from patients’ blood through a semipermeable mem- brane along a concentration gradient. Near-infrared spectroscopy (NIRS) is an underexplored method of monitoring the concentrations of several molecules that reflect the efficacy of the HD process in dialysate samples. In this study, we aimed to evaluate NIRS as a technique for the non-invasive detection of uremic solutes by assessing the correlations between the spectrum of the spent dialysate and the serum levels of urea, creatinine, and uric acid. Blood and dialysate samples were taken from 35 patients on maintenance HD. The absorption spectrum of each dialysate sample was measured three times in the wavelength range of 700-1700 nm, resulting in a dataset with 315 spectra. The artificial neural network (ANN) learn- ing technique was used to assess the correlations between the recorded NIR-absorbance spectra of the spent dialysate and serum levels of selected uremic toxins. Very good correlations between the NIR-absorbance spectra of the spent dialysate fluid with serum urea (R=0.91) and uric acid (R=0.91) and an excellent correlation with serum creatinine (R=0.97) were obtained. These results support the application of NIRS as a non-invasive, safe, accurate, and repetitive technique for online monitoring of uremic toxins to assist clinicians in assessing HD efficiency and individualization of HD treatments

Development of Novel Approaches for Tumour Therapy based on Nanostructured Materials - MagBioVin Project

Research advancements and opportunities by the FP7-ERA Chairs project MagBioVin are spotlighted.[1] Topic of the project is the design of different novel magnetic nanoarchitectures (e.g. bimagnetic and polymeric core-shell systems, nanoparticles embedded in mesoporous silica structures, and radiolabeled nanostructures)[2–4] for application in targeted treatment and diagnostics of cancer. These nanomaterials posses the ability for selective treatment of tumor tissues by the targeting with magnetic field.[5,6] Alternating magnetic field also provides the means for hyperthermia-induced cancer treatment.[7]Attachment of radionuclides to the synthesized nanoparticles is explored for the purpose of imaging and internal radiotherapy.[8,9] Magnetic characteristics of the prepared nanomaterials is done by SQUID magnetometry and Mössbauer spectroscopy. Structural characterization of the investigated nanomaterials is performed by XRD, TEM imaging, DRIFT spectroscopy, and nitrogen sorption analysis. Magnetic hyperthermia effects are monitored by using commercial setup (nB nanoScale Biomagnetics) which includes applicators for cell cultures and small animals. In vitro and in vivo (animal model) applicability of the synthesized nanomaterials regarding toxicity, biodistribution and anticancer efficacy is explored for targeted cancer treatment.1st International Symposium: program and the book of abstracts : March 29-31, 2016; University of Central Lancashire, Preston, U

Supplementary data for the article: Stojsavljević, A.; Rovčanin, M.; Miković, Ž.; Perović, M.; Jeremić, A.; Zečević, N.; Manojlović, D. Analysis of Essential, Toxic, Rare Earth, and Noble Elements in Maternal and Umbilical Cord Blood. Environ Sci Pollut Res 2022. https://doi.org/10.1007/s11356-021-18190-y.

Supplementary material for: [https://doi.org/10.1007/s11356-021-18190-y]Related to published version: [https://cherry.chem.bg.ac.rs/handle/123456789/4879

Supplementary material for the article: Milošev, M. Z.; Jakovljević, K.; Joksović, M. D.; Stanojković, T.; Matić, I. Z.; Perović, M.; Tešić, V.; Kanazir, S.; Mladenović, M.; Rodić, M. V.; et al. Mannich Bases of 1,2,4-Triazole3-Thione Containing Adamantane Moiety: Synthesis, Preliminary Anticancer Evaluation, and Molecular Modeling Studies. Chemical Biology and Drug Design 2017, 89 (6), 943–952. https://doi.org/10.1111/cbdd.12920

Supporting Information: [https://doi.org/10.1111/cbdd.12920]Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2482]Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/3221

Supplementary material for the article: Milošev, M. Z.; Jakovljević, K.; Joksović, M. D.; Stanojković, T.; Matić, I. Z.; Perović, M.; Tešić, V.; Kanazir, S.; Mladenović, M.; Rodić, M. V.; et al. Mannich Bases of 1,2,4-Triazole3-Thione Containing Adamantane Moiety: Synthesis, Preliminary Anticancer Evaluation, and Molecular Modeling Studies. Chemical Biology and Drug Design 2017, 89 (6), 943–952. https://doi.org/10.1111/cbdd.12920

Supporting Information: [https://doi.org/10.1111/cbdd.12920]Related to published version: [http://cherry.chem.bg.ac.rs/handle/123456789/2482]Related to accepted version: [http://cherry.chem.bg.ac.rs/handle/123456789/3221

Ab Initio Study of Graphene Interaction with O-2, O, and O-

A systematic ab initio (DFT-GGA) study of adsorption of various oxygen species on graphene has been performed in order to find out general trends and provide a good starting point to analyze the oxidation of more complex carbon materials. Particular attention was paid to finding an appropriate supercell model. According to our findings, atomic O is characterized by stable adsorption on graphene and very strong adsorption on defective graphene. On the other hand, O-2 does not adsorb on graphene and is allowed to diffuse freely to the defect, where it is expected to dissociate into two strongly adsorbed O atoms. The obtained results were compared with available theoretical data in the literature and good agreement was achieved