Publications by authors named "Ivan Dimitrov"

Background: McKittrick-Wheelock syndrome is an uncommon and severe disorder caused by large hypersecretory tumors located in the distal colorectal area. Excessive secretion from adenomas is an unusual clinical manifestation that leads to severe electrolyte and fluid depletion, subsequently resulting in kidney injury. Successful treatment relies on quick and cooperative decision-making for timely intervention.

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Zeolites with different structures (P1, sodalite, and X) were synthesized from coal fly ash by applying ultrasonically assisted hydrothermal and fusion-hydrothermal synthesis. Bimetallic catalysts, containing 5 wt.% Ni and 2.

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SARS-CoV-2 caused the COVID-19 pandemic, which overwhelmed global healthcare systems. Over 776 million COVID-19 cases and more than 7 million deaths were reported by WHO in September 2024. COVID-19 vaccination is crucial for preventing infection and controlling the pandemic.

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Peanut allergy, a prevalent and potentially severe condition affecting millions worldwide, has been linked to specific human leukocyte antigens (HLAs), suggesting increased susceptibility. Employing an immunoinformatic strategy, we developed a "logo model" based on amino acid frequencies in the peptide binding core and used it to predict peptides originating from 28 known peanut allergens binding to HLA-DRB1*03:01, one of the susceptibility alleles. These peptides hold promise for immunotherapy in HLA-DRB1*03:01 carriers, offering reduced allergenicity compared to whole proteins.

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Peptide antigens derived from tumors have been observed to elicit protective immune responses, categorized as either tumor-associated antigens (TAAs) or tumor-specific antigens (TSAs). Subunit cancer vaccines incorporating these antigens have shown promise in inducing protective immune responses, leading to cancer prevention or eradication. Over recent years, peptide-based cancer vaccines have gained popularity as a treatment modality and are often combined with other forms of cancer therapy.

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Axial Spondyloarthritis (axSpA) is a chronic, inflammatory, immune-mediated rheumatic disease that comprises two subsets, non-radiographic and radiographic axSpA, and belongs to a heterogeneous group of spondyloarthritides (SpA). Over the years, the concept of SpA has evolved significantly, as reflected in the existing classification criteria. Considerable progress has been made in understanding the genetic and immunological basis of axSpA, in studying the processes of chronic inflammation and pathological new bone formation, which are pathognomonic for the disease.

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Since viruses are one of the main causes of infectious illnesses, prophylaxis is essential for efficient disease control. Vaccines play a pivotal role in mitigating the transmission of various viral infections and fortifying our defenses against them. The initial step in modern vaccine design and development involves the identification of potential vaccine targets through computational techniques.

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Article Synopsis
  • * The authors developed a new computational method using amino acid frequencies to create quantitative matrices, or 'logo models,' for predicting peptide binding to specific proteins linked to celiac disease.
  • * The method was validated with over 17,000 peptides and showed effectiveness in distinguishing between binding and non-binding interactions, suggesting its potential use for various peptide-protein interactions in research.
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  • Human leukocyte antigens (HLAs) play a crucial role in how the immune system processes and presents antigens, with specific types linked to autoimmune diseases like celiac disease.
  • In celiac disease, certain HLA types (HLA-DQ2.5 and HLA-DQ8.1) bind to gluten peptides, which can lead to inflammation and tissue damage when recognized by CD4+ T cells.
  • The study used molecular docking and quantitative matrices to assess amino acid preferences in peptide binding, achieving high accuracy in predicting peptide-HLA interactions, which can help quickly evaluate the risk of celiac disease from new proteins.
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Monometallic (Ni, Co, Cu) and bimetallic (Ni-Co, Ni-Cu) 10-20 wt.% metal containing catalysts supported on fly ash zeolite were prepared by post-synthesis impregnation method. The catalysts were characterized by X-ray powder diffraction, N physisorption, XPS and H-TPR methods.

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Vitamin D plays a role in regulating immune homeostasis, inflammation and has an impact on the pathogenesis of inflammatory bowel diseases (IBD). IBD has a multifactorial pathogenesis primarily associated with immune dysregulation, dysbiosis, structurally altered intestinal mucosa, and genetic factors. The immunomodulatory function of this vitamin is linked to its control over innate and adaptive immunity, facilitated through its nuclear vitamin D receptor, leading to the inhibition of nuclear factor kappa-B.

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Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through reverse vaccinology. The application of in silico methods allows significant reduction in time and cost for the discovery of potential vaccine candidates among proteins of a bacterial species. The steps in the prediction algorithm include collection of protein sequence datasets of known bacterial immunogens and non-immunogens, data preprocessing to transform the protein sequences into numerical matrices suitable for use as training and test sets for various machine learning methods, and derivation of predictive models.

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Article Synopsis
  • CEST MRI is emerging as a promising tool for studying brain tumors and has potential for broader applications in body oncology, but its adoption for torso imaging is slower.
  • The review highlights challenges specific to chest and breast imaging with CEST-MRI and discusses ways to overcome these hurdles.
  • Although initial studies suggest CEST signals correlate with important tumor characteristics, additional technical advancements are necessary for it to become a dependable clinical tool and biomarker in body imaging.
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Hydrogen peroxide (HO) is a type of reactive oxygen species that regulates essential biological processes. Despite the central role of HO in pathophysiological states, available molecular probes for assessing HO are still limited. This work develops hyperpolarized N-boronobenzyl-4-cyanopyridinium (N-BBCP) as a rationally designed molecular probe for detecting HO.

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Acetylcholinesterase (AChE) is one of the classical targets in the treatment of Alzheimer's disease (AD). Inhibition of AChE slows down the hydrolysis of acetycholine and increases choline levels, improving the cognitive function. The achieved success of plant-based natural drugs acting as AChE inhibitors, such as galantamine (GAL) from Galanthus genus and huperzine A from Huperzia serrate (approved drug in China), in the treatment of AD, and the fact that natural compounds (NCs) are considered as safer and less toxic compared to synthetic drugs, led us to screen the available NCs (almost 150,000) in the ZINC12 database for AChE inhibitory activity.

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Oleraceins are a class of indoline amide glycosides found in L. (Portulacaceae), or purslane. These compounds are characterized by 5,6-dihydroxyindoline-2-carboxylic acid -acylated with cinnamic acid derivatives, and many are glucosylated.

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  • Injurious pecking (IP) is a major welfare issue for laying hens, particularly in cage-free environments, highlighting the need for solutions that consider the underlying causes of this behavior.
  • The review examines how prenatal and early postnatal factors, such as maternal stress and incubation conditions, influence the development of IP and behavioral programming in hens.
  • Improving environmental conditions for hens during critical early life stages may help prevent IP, suggesting that better egg handling, incubation, and chick-rearing practices are vital for commercial laying hen welfare.
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The polyphenols curcumin (CU) and ferulic acid (FA) are able to inhibit the aggregation of amyloid-β (Aβ) peptide with different strengths. CU is a strong inhibitor while FA is a weaker one. In the present study, we examine the effects of CU and FA on the folding process of an Aβ monomer by 1 µs molecular dynamics (MD) simulations.

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Purpose: H MRS provides a noninvasive tool for identifying mutations in isocitrate dehydrogenase (IDH). Quantification of the prominent 2-hydroxyglutarate (2HG) resonance at 2.25 ppm is often confounded by the lipid resonance at the same frequency in tumors with elevated lipids.

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Objective: Considering the reported elevation of ω-6/ω-3 fatty acid ratios in breast neoplasms, one particularly important application of C MRS could be in more fully understanding the breast lipidome's relationship to breast cancer incidence. However, the low natural abundance and gyromagnetic ratio of the C isotope lead to detection sensitivity challenges. Previous C MRS studies have relied on the use of small surface coils with limited field-of-view and shallow penetration depths to achieve adequate signal-to-noise ratio (SNR), and the use of receive array coils is still mostly unexplored.

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The main food-origin antigens that the infant's body is in contact with are cow's milk proteins (CMP). Still, CMP are one of the main sources of beneficial biologically active peptides that play a role in treatment of non-communicable diseases. Safe methods to quickly predict the sensitizing potential of food proteins among their range of health-promoting properties are essential.

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Purpose: shimming is an important method for mitigating B inhomogeneity in high-field MRI. Using independent power amplifiers for each transmit (Tx) element is the preferred method for B shimming but comes with a high cost. Conversely, the simplest approach to control a Tx array is by using coaxial cables of varying length in the Tx chain, but this approach is cumbersome and impractical for dynamic shimming.

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The identification of protective immunogens is the most important and vigorous initial step in the long-lasting and expensive process of vaccine design and development. Machine learning (ML) methods are very effective in data mining and in the analysis of big data such as microbial proteomes. They are able to significantly reduce the experimental work for discovering novel vaccine candidates.

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Sickness can change our mood for the worse, leaving us sad, lethargic, grumpy and less socially inclined. This mood change is part of a set of behavioral symptoms called sickness behavior and has features in common with core symptoms of depression. Therefore, the physiological changes induced by immune activation, for example following infection, are in the spotlight for explaining mechanisms behind mental health challenges such as depression.

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