Literature Data Research Articles

Cartilage Oligomeric Matrix Protein in Osteoarthritis and Obesity-Do New Considerations Emerge?

The diagnosis of osteoarthritis (OA) is based on radiological changes that are delayed, along with clinical symptoms. Early and very early diagnosis at the stage of molecular pathology may eventually offer an opportunity for early therapeutic intervention that may retard and prevent future damage. Cartilage oligomeric matrix protein (COMP) is a non-collagenous extracellular matrix protein that promotes the secretion and aggregation of collagen and contributes to the stability of the extracellular matrix. There are contradictory literature data and currently, the parameter is used only for scientific purposes and its significance is not well-determined. The serum level of COMP in patients with metabolic type OA of the knee has not been evaluated. The aim of the study was to analyze serum COMP levels in metabolic knee OA and controls with different BMI. Our results showed that the mean COMP values were significantly higher in the control group (1518.69 ± 232.76 ng/mL) compared to the knee OA patients (1294.58 ± 360.77 ng/mL) (p = 0.0012). This may be related to the smaller cartilage volume in OA patients. Additionally, COMP levels negatively correlated with disease duration (p = 0.04). The COMP level in knee OA with BMI below 30 kg/m2 (n = 61, 1304.50 ± 350.60 ng/mL) was higher compared to cases with BMI ≥ 30 kg/m2 (n = 76, 1286.63 ± 370.86 ng/mL), but the difference was not significant (p = 0.68). Whether this finding is related to specific features in the evolution of the metabolic type of knee OA remains to be determined. Interestingly, comparison of COMP levels in the controls with different BMI revealed significantly higher values in overweight and obese individuals (1618.36 ± 203.76 ng/mL in controls with BMI ≥ 25 kg/m2, n = 18, 1406.61 ± 216.41 ng/mL, n = 16; p = 0.0092). Whether this finding is associated with increased expression of COMP in the adipose tissue or with more intensive cartilage metabolism in relation to higher biomechanical overload in obese patients, considering the earlier development of metabolic type knee OA as an isolated finding, remains to be determined.

New drugs for the treatment of hyperlipidemia in statin-intolerant patients - review

Introduction Cardiovascular diseases are the most numerous group of diseases prevalent in the world. They are a challenge for many health systems, in terms of keeping life comfortable and also economics. The cause of selected disease entities is too much cholesterol in the blood. The most popular treatment for hypercholesterolemia is based on statins. Many patients are affected by intolerance to these drugs, so an important issue is the discovery and improvement of alternatives to statins. Purpose of work The purpose of this review is to collect literature data on the latest treatments for hypercholesterolemia with drugs other than statins and ezetimibe. Materials and methods Materials are from a review of recent literature available in PubMed. To search for articles, we used keywords such as: bempedoic acid, non-statin therapy, cardiovascular risk, inclisiran, alirocumab, cardiovascular disease, dyslipidemia, evolocumab. Summary Treatment of hypercholesterolemia with statins remains the most popular management strategy. Intolerance to treatment with these drugs creates serious clinical problems for patients. Recently, we could see the emergence of new drugs as alternatives to statins. As the results show, the new drugs can effectively replace statins in the hypolipemic treatment especially of patients who cannot be treated with them.

A quantitative systems pharmacology model of plasma kallikrein-kinin system dysregulation in hereditary angioedema.

Hereditary angioedema (HAE) due to C1-inhibitor deficiency is a rare, debilitating, genetic disorder characterized by recurrent, unpredictable, attacks of edema. The clinical symptoms of HAE arise from excess bradykinin generation due to dysregulation of the plasma kallikrein-kinin system (KKS). A quantitative systems pharmacology (QSP) model that mechanistically describes the KKS and its role in HAE pathophysiology was developed based on HAE attacks being triggered by autoactivation of factor XII (FXII) to activated FXII (FXIIa), resulting in kallikrein production from prekallikrein. A base pharmacodynamic model was constructed and parameterized from literature data and ex vivo assays measuring inhibition of kallikrein activity in plasma of HAE patients or healthy volunteers who received lanadelumab. HAE attacks were simulated using a virtual patient population, with attacks recorded when systemic bradykinin levels exceeded 20pM. The model was validated by comparing the simulations to observations from lanadelumab and plasma-derived C1-inhibitor clinical trials. The model was then applied to analyze the impact of nonadherence to a daily oral preventive therapy; simulations showed a correlation between the number of missed doses per month and reduced drug effectiveness. The impact of reducing lanadelumab dosing frequency from 300mg every 2weeks (Q2W) to every 4weeks (Q4W) was also examined and showed that while attack rates with Q4W dosing were substantially reduced, the extent of reduction was greater with Q2W dosing. Overall, the QSP model showed good agreement with clinical data and could be used for hypothesis testing and outcome predictions.

The role of quantitative electroencephalography in the diagnosis of postoperative cerebral consequences in patients with cardiovascular pathology who underwent cardiac surgery using artificial circulation. Importance for oncology (literature review)

Currently, special attention of researchers is attracted to the problem of diagnosing postoperative brain damage and cognitive impairment in patients with cardiovascular pathology after cardiac surgery without/under conditions of artificial circulation (AC). The main method of assessing the functional state of the brain is quantitative electroencephalography (EEG). Because of cardiovascular and oncological pathology could persist in one patient it is actual simultaneous cardial and oncological surgery under EEG monitoring.Objective: based on the literature data, to find out the role of EEG in diagnosis of cerebral complications in patients with cardiovascular pathology after cardiac surgery without /under conditions of AC.Methods. We found and analyzed data in specialized medical data base Pubmed, Scopus, Web of Science about EEG methods in patients after heart bypass with/without AC from 1980 to 2023 years.Results. The quantitative EEG is very important for early diagnosis and prognosis for cerebral ischemia, epileptiform activity, postoperative cognitive dysfunction in patients with coronary heart disease (CHD) after coronary artery bypass with/without AC. However, the studies did not included patients with oncopathology, people over 70 years of age. It opens possibilities for early diagnosis of central nervous system functional condition in patients with lung cancer and cardiovascular disorders in simultaneous (concomitant heart and lung with/without AC) surgery. It will help a correction of complications in time and a development of guided rehabilitation

EFFECT OF TOURIST TRAFFIC ON THE ECOSYSTEM OF LAKE MORSKIE OKO

Abstract. The Tatra National Park is the most frequently visited national park in Poland. Its most popular tourist trail is the route to Lake Morskie Oko, the second largest lake in the Tatra Mountains, and the best known mountain lake in Poland. The paper is based on results of field observations, and the analysis of literature and statistical data. The ecosystem of Morskie Oko in this paper is defined as the area of the lake’s catchment. The unique character of Morskie Oko is reflected by its recognition by “The Wall Street Journal” as one of five most beautiful lakes in the world. This results in exceptionally high interest of tourists in the lake despite the difficulties reaching the place. It takes walking a nine-kilometre route with a height difference of 420 m. Study results show the annual attendance of the place by more than a million people, whereas the number of tourists per day can exceed 10,000. The tourist traffic evidently intensifies between June and September. It results in high human pressure on the lake’s waters and surroundings, leading to the degradation of most components of the natural environment. Such high traffic intensity is frequently a nuisance for tourists using the trails themselves. Moreover, high tourist traffic contributes to the intensification of slope processes, resulting in mass movements in the form of debris and snow avalanches, potentially changing the course of the trails.

Identification of key factors for the successful development of agricultural biogas plants in Poland

In Poland, the potential for biogas production is high. important source of renewable energy and contributes to reducing the emissions of methane, a greenhouse gas. In this article, based on materials from the National Agricultural Advisory Centre (KOWR), literature, and statistical data, the implementation of the agrigas plant construction programme was evaluated in individual voivodeships. Based on the collected data, it was concluded that the most meaningful factors for the successful development of Polish agricultural biogas plants are biogas production technology, substrate availability, energy price from renewable energy sources, waste disposal costs, population density in the commune, and allocation of places in local spatial development plans (MPZP). DEMATEL technique was used to identify key development factors. The results of the study provide useful information for both government and local authorities in the search for effective ways to drive the sector's development.

The Impact of ChatGPT on Finance Technology

With the rapid development of science and technology, financial technology has risen rapidly around the world and has become a key driving force in the financial field. The emergence of natural language processing models such as ChatGPT, has brought new possibilities to financial services. This paper mainly studies the role and impact of ChatGPT in financial technology. Focus includes its applications in customer service, investment advice and risk management, as well as the potential impact of these applications on financial operations and user experience. The purpose of the research is to gain an in-depth understanding of the application of ChatGPT in the financial field, and reveal its potential contribution to improving financial service efficiency. This study uses literature analysis, case analysis and data analysis. Through systematic combing of relevant literature, we can understand the development status of ChatGPT in financial services. The research of this paper found that ChatGPT has a significant influence in the field of financial technology. Its application in customer service can improve service efficiency and provide users with faster and more personalized services. However, to ensure information security and privacy protection, financial institutions need to carefully weigh the pros and cons when adopting ChatGPT technology.

Community Engagement in Vaccination Promotion: Systematic Review and Meta-Analysis.

Community engagement plays a vital role in global immunization strategies, offering the potential to overcome vaccination hesitancy and enhance vaccination confidence. Although there is significant backing for community engagement in health promotion, the evidence supporting its effectiveness in vaccination promotion is fragmented and of uncertain quality. This review aims to systematically examine the effectiveness of different contents and extent of community engagement for promoting vaccination rates. This study was performed in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A comprehensive and exhaustive literature search was performed in 4 English databases (PubMed, Embase, Web of Science, and Cochrane Library) and 2 Chinese databases (CNKI and Wan Fang) to identify all possible articles. Original research articles applying an experimental study design that investigated the effectiveness of community engagement in vaccination promotion were eligible for inclusion. Two reviewers independently performed the literature search, study selection, quality assessment, and data extraction. Discrepancies were resolved through discussion, with the arbitration of a third reviewer where necessary. A total of 20 articles out of 11,404 records from 2006 to 2021 were retrieved. The studies used various designs: 12 applied single-group pre-post study designs, 5 were cluster randomized controlled trials (RCTs), and 3 were non-RCTs. These studies targeted multiple vaccines, with 8 focusing on children's immunization, 8 on human papillomavirus vaccine, 3 on hepatitis B virus vaccine, and 1 on COVID-19 vaccine. The meta-analysis revealed significant increases in vaccination rates both in pre-post comparison (rate difference [RD] 0.34, 95% CI 0.21-0.47, I2=99.9%, P<.001) and between-group comparison (RD 0.18, 95% CI 0.07-0.29, I2=98.4%, P<.001). The meta-analysis revealed that participant recruitment had the largest effect size (RD 0.51, 95% CI 0.36-0.67, I2=99.9%, P<.001), followed by intervention development (RD 0.36, 95% CI 0.23-0.50, I2=100.0%, P<.001), intervention implementation (RD 0.35, 95% CI 0.22-0.47, I2=99.8%, P<.001), and data collection (RD 0.34, 95% CI 0.19-0.50, I2=99.8%, P<.001). The meta-analysis indicated that high community engagement extent yielded the largest effect size (RD 0.49, 95% CI 0.17-0.82, I2=100.0%, P<.001), followed by moderate community engagement extent (RD 0.45, 95% CI 0.33-0.58, I2=99.6%, P<.001) and low community engagement extent (RD 0.15, 95% CI 0.05-0.25, I2=99.2%, P<.001). The meta-analysis revealed that "health service support" demonstrated the largest effect sizes (RD 0.45, 95% CI 0.25-0.65, I2=99.9%, P<.001), followed by "health education and discussion" (RD 0.39, 95% CI 0.20-0.58, I2=99.7%, P<.001), "follow-up and reminder" (RD 0.33, 95% CI 0.23-0.42, I2=99.3%, P<.001), and "social marketing campaigns and community mobilization" (RD 0.24, 95% CI 0.06-0.41, I2=99.9%, P<.001). The results of this meta-analysis supported the effectiveness of community engagement in vaccination promotion with variations in terms of engagement contents and extent. Community engagement required a "fit-for-purpose" approach rather than a "one-size-fits-all" approach to maximize the effectiveness of vaccine promotion. PROSPERO CRD42022339081; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=339081.

Production of Anthocyanin-Rich Red Rose Petal Extract by Enzymatic Maceration

The use of enzymes to hydrolyze the plant cell matrix is a method known for extracting bioactive substances. The current work used this strategy to produce a rose petal extract rich in anthocyanins that is stable in the presence of marine polysaccharides and has a high antioxidant activity. The process evaluation was carried out sequentially, initially comparing water, ethanol, and their mixtures to anthocyanins extracted in the presence or absence of enzymes. Then, a multi-objective desirability function optimized experimental conditions such as solvent and enzyme concentrations. This study is the first report describing the use of a statistical tool, the central composite rotatable design (CCRD), to optimize anthocyanin extraction from rose petals. This method obtained a maximum extraction of 9.99 mg/g of phenols. The stability of the rose petal extract when using marine polysaccharides retained 60% of the anthocyanins over 28 days without deterioration when protected from sunlight but was practically degraded upon exposure to sunlight. The rose petal extract demonstrated a very high antioxidant capacity of 3.19 μg/mL, close to the literature data for citrus compounds, known to be high in antioxidant compounds for cosmetic food purposes.

MS and NMR Analysis of Isotopically Labeled Chloramination Disinfection Byproducts: Hyperlinks and Chemical Reactions.

FT-ICR MS and NMR analysis of an isotopically labeled complex mixture of water disinfection byproducts formed by chloramine disinfection of model phenolic acids is described. A new molecular formula assignment procedure using the CoreMS Python library able to assign isotopically enriched formulas is proposed. Statistical analysis of the assigned formulas showed that the number of compounds, the diversity of the mixture, and the chlorine count increase during the chloramination reaction. The complex reaction mixture was investigated as a network of reactions using PageRank and Reverse PageRank algorithms. Independent of the MS signal intensities, the PageRank algorithm calculates the formulas with the highest probability at convergence of the reaction; these were chlorinated and nitrated derivatives of the starting materials. The Reverse PageRank revealed that the most probable chemical transformations in the complex mixture were chlorination and decarboxylation. These agree with the data obtained from INADEQUATE NMR spectra and literature data, indicating that this approach could be applied to gain insight into reactions pathways taking place in complex mixtures without any prior knowledge.

Assessing sampling interval-dependent roughness in fractured steel fiber reinforced concrete using a double-exponential decay model

This study introduces a double-exponential decay (DED) model to investigate the sampling interval (δ)-dependent behavior of crack morphology roughness in steel fiber reinforced concrete (SFRC). The root mean square (Z2-3D) of the directional derivatives in 3D digital morphology is employed to quantify the roughness and its anisotropic behavior. Surface morphologies of 24 fractured specimens are captured by using a laser scanner and the obtained results are re-meshed based on the Point-Kriging algorithm. The roughness is represented by the ratio of surface area to projected area (RS) and Z2-3D values along different directions at various δs (4–3000 μm). The outcomes suggest that the values of RS and Z2-3D both decline, but the anisotropy of surface roughness is enhanced at an increased δ. The DED model is able to properly reflect the decay behavior in which the morphology roughness is classified into three corrugated components based on their distinct attenuation laws. A satisfactory agreement with the literature data is observed, validating the presented methodology. The reported findings in this work are useful for enhancing the understanding of the formation of crack morphology roughness and its relationship to the damage process of SFRC.

RELATIONSHIP BETWEEN PERIODONTAL PATHOLOGY AND GASTROINTESTINAL TRACT DISEASES: A NARRATIVE OVERVIEW

The correlation between periodontal diseases and numerous general systemic diseases,including gastrointestinal disorders, is very close. The initial clinical indications of the digestivesystem disorders can be the inflammatory processes in the oral cavity, and the presence ofsystemic diseases in the body can affect the ethiology and pathogenesis of periodontal diseases.The aim of research – based on the analysis of literature data to outline relationshipbetween periodontal and gastrointestinal tract pathology and the impact of periodontaldisease on the overall homeostasis of the human body.Conclusions. 1. Summarizing scientific data proves that gastrointestinal pathologyweakens body defenses and can activate periodontopathogenic microflora.Disorders of gastrointestinal tract and hepatobiliary system influences negatively salivarygland leading to their dysfunction. Peptic ulcer disease, gastroesophageal reflux disease,chronic gastritis, pancreatitis, and colitis accompanies gingivitis and periodontitis. 2.Therefore, periodontal diseases and gastrointestinal tract disorders are closely linked,and the functional relationship between them should be considered in the diagnosis andtreatment of both types of diseases. The findings of this review suggest that periodontaldiseases can have a significant impact on the overall homeostasis of the human body.

A review of the genus Vitrea Fitzinger, 1833 (Gastropoda, Eupulmonata, Pristilomatidae) in Serbia: diversity, distribution and the description of a new species.

In this paper, the genus Vitrea Fitzinger, 1833 in Serbia is reviewed. All previous literature data on this genus from Serbia are summarised and used to discuss its distribution in the country and create distribution maps, supplemented by new material collected by the authors. All Serbian species are figured. For each species, a brief description of the examined specimens, data on previous findings in Serbia, the material (including types) that were analysed, the distribution and habitats in Serbia they inhabit, as well as remarks on specific species are given. A new species, Vitreavirgo Gojšina & Dedov, sp. nov., is described from a pit on Mt. Devica in eastern Serbia. Vitreapygmaea (O. Boettger, 1880) is reported for the first time for the territory of Serbia. As some Vitrea species have a narrow geographical range and prefer certain habitats, they are particularly vulnerable to habitat changes, which is also discussed in the paper. An identification key for all hitherto known Serbian species is given.

Features of the reproductive function of girls and women with rheumatoid arthritis: A review

Rheumatoid arthritis is one of the most common and severe autoimmune diseases. The prevalence of rheumatoid arthritis among adults in different geographical areas of the world ranges from 0.5 to 2%. The prevalence of juvenile rheumatoid arthritis is approximately 6 per 10 thousand children. The disease occurs 2 times more often in girls than in boys. Some studies have demonstrated a possible effect of high cumulative doses of methotrexate on ovarian function in patients with systemic lupus erythematosus, but further studies are needed to confirm this effect. The analysis of literature data allowed us to identify prognostically significant factors in the development of autoimmune ovarian failure in patients of reproductive age with rheumatic pathology, and to note the fact that there is missing information about the state of the reproductive system in female patients with juvenile arthritis.

Formation of cognitive processes in children with autism. Part II. Genetic mechanisms

Autism and autism spectrum disorders are neuropsychiatric diseases that begin to appear in children under 3 years. Over the past decade, the number of children with autism spectrum disorders has increased more than in 10-fold and continues to grow, accounting for 1–2% of the world’s population. Currently, the diagnosis of autism spectrum disorders is based only on clinical and behavioral tests, and there are no biological and genetic markers that could contribute to the early detection of this disorder. The review, based on the analysis of modern literature data about symptoms, genetic etiological factors that associated with autism, examines the possibility of using genes as diagnostic biomarkers in children with autism spectrum disorders. Analysis of literature data shows that disorders of attention, speed of information processing, working memory, learning are based on genetic (mutations, SNPs) and epigenetic (methylation) changes in the expression of many genes: BDNF, CAPS2, CNTNAP2, GABRB3, FMR1, FOXP1, GTF2I, HSD11B2, MECP2, NF2, NGF, NR3C1, OXTR, PAK2, RELN, SLC6A4, UBE3A, etc. Some of these genes (RELN) are associated with ASD severity.

Functional studies of plant transcription factors and their relevance in the plant root-knot nematode interaction.

Root-knot nematodes are polyphagous parasitic nematodes that cause severe losses in the agriculture worldwide. They enter the root in the elongation zone and subtly migrate to the root meristem where they reach the vascular cylinder and establish a feeding site called gall. Inside the galls they induce a group of transfer cells that serve to nurture them along their parasitic stage, the giant cells. Galls and giant cells develop through a process of post-embryogenic organogenesis that involves manipulating different genetic regulatory networks within the cells, some of them through hijacking some molecular transducers of established plant developmental processes, such as lateral root formation or root regeneration. Galls/giant cells formation involves different mechanisms orchestrated by the nematode´s effectors that generate diverse plant responses in different plant tissues, some of them include sophisticated mechanisms to overcome plant defenses. Yet, the plant-nematode interaction is normally accompanied to dramatic transcriptomic changes within the galls and giant cells. It is therefore expected a key regulatory role of plant-transcription factors, coordinating both, the new organogenesis process induced by the RKNs and the plant response against the nematode. Knowing the role of plant-transcription factors participating in this process becomes essential for a clear understanding of the plant-RKNs interaction and provides an opportunity for the future development and design of directed control strategies. In this review, we present the existing knowledge of the TFs with a functional role in the plant-RKN interaction through a comprehensive analysis of current scientific literature and available transcriptomic data.

Calculation of the energy dependence of fission fragments yields and kinetic energies distributions for neutron-induced 235U fission

Abstract Fission fragments yields and average total kinetic energy are the fundamental nuclear data essential for applications in nuclear energy and the study of nuclear devices. Certain fission products, such as 95Zr, 99Mo, 140Ba, 144Ce and 147Nd, serve as burnup monitors, assessing the number of fissions induced by neutrons on 235U. However, current experimental data for these fission products worldwide are inconsistent, introducing significant uncertainty into related scientific research. This study employs the Potential-driving Model to calculate the independent yields of 235U and evaluates its advantages in such calculations. Additionally, we investigate the energy dependence of independent yields for select important products. Furthermore, we calculate the cumulative yields of 95Zr, 99Mo, 140Ba, 144Ce, and 147Nd, and compare them with existing literature data to explore the energy dependence of fission products for 235U. Given the lack of fission product yield data above 14.8 MeV, we extend our calculated incident neutron energy to 20 MeV, aiming to support future scientific research. The Geant4 physical model does not consider the influence of incident neutron energy on the average total kinetic energy of fission fragments; thus, we introduce the excitation function of the total kinetic energy of fission fragments recommended by Madland et al., which effectively describes the experimental data of the average total kinetic energy of fragments formed in 235U fission. This study offers a detailed discussion on the energy dependence of fission product yield and average total kinetic energy.

Analysis and Evaluation of Heavy Metal Pollution in Farmland Soil in China：A Meta-analysis

In this study, a Meta-analysis was used to investigate the pollution status of eight farmland soil heavy metal elements (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) in China. Meanwhile, their spatiotemporal changes and differences between different types of cultivated land were explored. The research data were chosen from 449 relevant literature data collected by CNKI and Web of Science from 2005 to 2021, and the Meta-analysis used a weighted method based on "sampling numbers", "study area", and "standard deviation". The results showed that the national average values of the eight heavy metal elements in Chinese farmland soil were ω(As)11.00 mg·kg-1, ω(Cd)0.350 2 mg·kg-1, ω(Cr)62.91 mg·kg-1, ω(Cu)28.87 mg·kg-1, ω(Hg)0.135 1 mg·kg-1, ω(Ni)28.91 mg·kg-1, ω(Pb)34.67 mg·kg-1,and ω(Zn)90.24 mg·kg-1. Compared with their background values, all elements except As accumulated to some extent, and Cd and Hg accumulated the most, exceeding their background values by 177.9% and 340.3%, respectively. The research results indicated that Cd and Hg were the main pollution elements in farmland soil in China, and their accumulation was mainly influenced by human activities. In terms of their temporal and spatial changes, the Yunnan-Guizhou Plateau and the eastern coast were the most concentrated areas of pollution cases, and the pollution center shifted from the middle reaches of the Yangtze River to the southwest over time. The accumulation of heavy metals in farmland soil was affected by crop planting types, and the accumulation of heavy metals in vegetable and paddy soil was significantly greater than that in other cultivated land types.

Secondary raw materials for sugar production and directions for its processing

The article is devoted to a review of literature data on the problem of environmental safety of sugar production. The main types of waste generated during sugar production are considered. Some areas of processing and disposal of sugar production waste, such as beet pulp, filter cake, molasses, beet tailings, and wastewater, are given. Beet pulp is mainly dried and used to manufacture feed for farm animals. It can be used to obtain powdered semi-finished products in the food industry and the production of fertilizers. Filtration sediment is used to improve the quality of the soil-biotic complex of leached chernozem. Molasses is also a byproduct of sugar production, containing about 50% sucrose. Therefore, it becomes advisable to extract sugar from molasses, subject to economic benefits. Inexpensive and uncomplicated methods for removing sugar from molasses include lime separation, precipitation of sucrose using acetic acid, and barite and strontium methods for extracting sugar from molasses. Wastewater from sugar factories can be used for irrigation. However, given that the sugar beet processing season does not coincide with the growing season, to irrigate fields with wastewater, it is necessary to build unique storage ponds, settling tanks, and pumping and irrigation systems, which require additional costs. Another type of waste is generated when sugar beets are processed: beet tailings. This type of waste is usually used to obtain additional sugar or feed farm animals. The tailings are collected on a rotary beet catcher, passed through a sorting classifier, and sent for processing. The fine fraction is sent with the pulp for dehydration or to pulp pits for feeding livestock.

Bioassay-guided isolation of cycloartane-type triterpenes, their cytotoxic properties and identification of potential chemical markers from Geniotrigona thoracica propolis

Phytochemical investigation through cytotoxicity bioassay-guided isolation of Geniotrigona thoracica propolis led to the identification of five cycloartane-type triterpenes, including mangiferonic acid 1, ambonic acid 2, mangiferolic acid 3, ambolic acid 4 and cycloartenol 5. Their structures were established based on detailed spectroscopic analysis and comparison with literature data. Compounds 1-5 were isolated for the first time in this species. From cytotoxicity MTT assay, compound 3 inhibited the growth of breast (MCF-7) and hepatocellular carcinoma (HepG2) cancer cell lines with IC50 of 5.08 and 4.82 µg/mL, respectively. Cytotoxicity of compounds 1-5 were reported for the first time against HepG2 cancer cell lines. Compounds 1-4 were suggested to serve as main and/or analytical markers for G. thoracica propolis based on HPLC analysis. To our knowledge, this is the first report on the isolation of bioactive constituents and identification of chemical markers for G. thoracica propolis.