Identification Of Components Research Articles

METABOLIC SYNDROME: LITERATURE ANALYSIS

MetS is a significant public health concern due to its association with severe health outcomes. Early identification and comprehensive management of MetS components are crucial in reducing the global burden of this syndrome. Further research is needed to refine diagnostic criteria, understand the underlying mechanisms, and develop more effective prevention and treatment strategies. The metabolic syndrome (MetS) is a group of illnesses that together better predict a person's risk of cardiovascular disease than any one of the illnesses alone. Human MetS risk is influenced by a combination of environmental and genetic variables. As MetS is a complex disorder with a startlingly high incidence rate these days, developing suitable experimental animal models that closely resemble the illness state in people is essential to resolving the challenges associated with assessing the pathophysiology of MetS in humans. The objective of this study is to provide an overview of the pathophysiology of dietary, genetic, and pharmaceutical models of metabolic syndrome. We will also go over the applicability, advantages, and disadvantages of various animal models. Despite the establishment of many animal models of MetS, more research on.

Guidance on risk-benefit assessment of foods.

The EFSA Scientific Committee has updated its 2010 Guidance on risk-benefit assessment (RBA) of foods. The update addresses methodological developments and regulatory needs. While it retains the stepwise RBA approach, it provides additional methods for complex assessments, such as multiple chemical hazards and all relevant health effects impacting different population subgroups. The updated guidance includes approaches for systematic identification, prioritisation and selection of hazardous and beneficial food components. It also offers updates relevant to characterising adverse and beneficial effects, such as measures of effect size and dose-response modelling. The guidance expands options for characterising risks and benefits, incorporating variability, uncertainty, severity categorisation and ranking of different (beneficial or adverse) effects. The impact of different types of health effects is assessed qualitatively or quantitatively, depending on the problem formulation, scope of the RBA question and data availability. The integration of risks and benefits often involves value-based judgements and should ideally be performed with the risk-benefit manager. Metrics such as Disability-Adjusted Life Years (DALYs) and Quality-Adjusted Life Years (QALYs) can be used. Additional approaches are presented, such as probability of all relevant effects and/or effects of given severities and their integration using severity weight functions. The update includes practical guidance on reporting results, interpreting outcomes and communicating the outcome of an RBA, considering consumer perspectives and responses to advice.

Extraction and Identification of the Main Components of Cloves (Syzygium aromaticum L.) Oil Extract and its Antimicrobial Activity against Methicillin-resistant Staphylococcus aureus strain

خلفية: تزايد استخدام الأدوية العشبية بدلاً من الأدوية التقليدية نتيجة مقاومة المضادات الحيوية ، مما يشكل خطراً على الصحة العامة. الأهداف: دراسة التركيب الكيميائي واخنبارالنشاط المضاد للبكتيريا في المختبر لمستخلص زيت القرنفل ضد جرثومة المكورات العنقودية الذهبية المقاومة للميثيسيلن MRSA)) . الطريقة: تم الحصول على مستخلص زيت القرنفل باستخدام التقطير المائي بواسطة جهاز Clevenger. بعد ذلك ، تم إجراء التحليل الكيميائي النباتي عن طريق التحليل الكروماتوجرافي-مطياف الكتلة. تم إجراء فحص في المختبر لمضادات الميكروبات لزيت القرنفل باستخدام طريقة انتشار القرص المزدوج ، وطريقة التخفيف الدقيق ، وحركة منحنى وقت القتل في المختبر. النتائج: بلغت نسبة استخلاص مستخلص القرنفل 50٪. وقد أظهر التحليل الكيميائي النباتي وجود مكونات مختلفة وبشكل رئيسي هي Caryophyllen و Humulene و Eugenol. حيث تبين ان المكورات العنقودية الذهبية كانت حساسة لمستخلص القرنفل بتركيزات مختلفة علاوة على ذلك ، وجد أن أقل تركيز مثبط (MIC) وأقل تركيز مبيد للجراثيم (MBC) كان 2.5 ميكروغرام / مل ، 5.0 ميكروغرام / مل على التوالي. الاستنتاجات: أظهرت الدراسة الحالية أن مستخلص القرنفل أظهر نشاطًا جيدًا مضادًا للبكتيريا في المختبر

Magnetic materials as adsorbents for the pre-concentration and separation of active ingredients from herbal medicine.

Herbal medicine (HM) is crucial in disease management and contains complex compounds with few active pharmacological ingredients, presenting challenges in quality control of raw materials and formulations. Effective separation, identification, and analysis of active components are vital for HM efficacy. Traditional methods like liquid-liquid extraction and solid-phase extraction are time-consuming and environmentally concerning, with limitations such as sorbent issues, pressure, and clogging. Magnetic solid-phase extraction uses magnetic sorbents for targeted analyte separation and enrichment, offering rapid, pressure-free separation. However, inorganic magnetic particles' aggregation and oxidation, as well as lack of selectivity, have led to the use of various coatings and modifications to enhance specificity and selectivity for complex herbal samples. This review delves into magnetic composites in HM pretreatment, specifically focusing on encapsulated or modified magnetic nanoparticles and materials like silica, ionic liquids, graphene family derivatives, carbon nanotubes, metal-organic frameworks, covalent organic frameworks, and molecularly imprinted polymers.

РАЗРАБОТКА МЕТОДА ИДЕНТИФИКАЦИИ И ОЦЕНКА КОЛИЧЕСТВЕННОГО СОДЕРЖАНИЯ ЭФИРНОГО МАСЛА В ХВОЕ МОЖЖЕВЕЛЬНИКА ОБЫКНОВЕННОГО

The aim of the study is to develop methods for the identification of terpenoids and to assess the quantitative content of essential oil in the conifers of juniper, fresh and dried by air-shade drying. The object of the study were samples of needles of juniper. The raw materials were used fresh and dried. To carry out qualitative reactions, well-known methods were selected, which are most often used in the analysis of essential oil raw materials. The identification of essential oil components was carried out by TLC method on Silufol plates. A-pinene solution was used as a standard. The quantitative content of essential oil in the raw material was determined by steam distillation in accordance with the OFS method.1.5.3.00010.15. Determination of the essential oil content in medicinal plant raw materials and medicinal herbal preparations. The authors proposed qualitative reactions for the identification of terpenoids in raw materials, which can be used to form the "Authenticity" section for a new type of raw material-needles of juniper. A-pinene was identified by the TLC method. A quantitative assessment of the essential oil content in fresh and dried raw materials was carried out. A decrease in the content of essential oil during drying of raw materials was revealed. Qualitative reactions were selected experimentally to confirm the presence of terpenoids in alcoholic extracts from juniper needles, as well as unsaturated compounds in essential oil obtained by steam distillation. The TLC method identified a-pinene in the analyzed samples. The presence of additional 11 adsorption zones in the samples of essential oil obtained from fresh raw materials and 9 in samples from dried raw materials was also revealed. The results obtained indicate changes in the composition of the terpenoid fraction occurring during the drying process and actualize further research in this direction. Assessment of the quantitative content of essential oil in the raw material, carried out according to the method 2 of the OFS.1.5.3.00010.15 "Determination of the essential oil content in medicinal plant raw materials and medicinal plant preparations", showed a decrease in the essential oil content in all dried samples compared with fresh raw materials. The data obtained during the experiment allow us to recommend the inclusion of an essential oil content of at least 1% in the quality indicators of juniper needles, as well as optimize the drying mode to better ensure the preservation of essential oil in raw materials.

Difficulties in German-Language Text Listening and Ways to Overcome Them

The article deals with the problem of overcoming difficulties arising in the process of listening to German-language texts. The studies of domestic and foreign scientists who consider listening as a complex mental and physiological-psychological process of identification of language material-phonetic, lexical and grammatical components and offer various exercises and tasks for the development of listening skills were analyzed. Special attention in modern studies on the problem of listening is paid to the development of phonetic competence of listeners, because insufficient phonological knowledge can cause discrepancies between the learned and heard lexical units, which will create problems in understanding the audio text. In order to study in detail, the difficulties of listening and effective ways to overcome them, the students were offered a sample course «Practical training in listening (German language)». At the beginning of the course the main attention was emphasized on the causes of listening difficulties and ways to overcome them. During the course the students were offered a number of exercises to develop the skills of global, selective and detailed listening of German-language texts. At the end of the course, the students were surveyed in order to identify the qualities that are necessary for successful understanding of the heard information. Interesting was the fact that the majority of students attribute listening difficulties to the language material, primarily lexical, phonetic and then grammatical. In addition, students indicate difficulties related to the conditions of perception of the German-language text. The results of the questionnaire and personal observation allow us to adjust the process of teaching listening according to the needs of students.

Oliveria decumbens, a Long-Neglected Plant with Promising Phytochemical and Biological Properties.

Oliveria decumbens is a folkloric medicinal plant belonging to the Apiaceae family, traditionally utilized to treat various diseases like gastrointestinal disorders, fever, and wounds. This review aims to provide a comprehensive overview of the plant's phytochemical composition and biological properties, with potential implications for various industries and avenues of further research. The data presented here has been compiled through searches utilizing the keyword "Oliveria" across scientific databases such as PubMed, Web of Science, Scopus, ScienceDirect, and SciFinder. Carvacrol and thymol have been identified as the primary volatile constituents, though the complete profile of the plant extract remains to be fully elucidated. Notably, Oliveria decumbens essential oil exhibits significant antibacterial, antifungal, antioxidant, and anticancer properties. Additionally, the plant extract demonstrates promising antiprotozoal, antiviral, hepatoprotective, and immunostimulant effects, although these findings are primarily derived from preliminary studies. While in vitro and in vivo investigations have validated some traditional uses of O. decumbens, further pre-clinical testing is warranted to ascertain both efficacy and safety profiles. Moreover, the identification of specific components within the plant extract is crucial for a more comprehensive understanding of the mechanisms of action underlying its therapeutic properties within the realm of phytomedicine.

Examination of the Augmented Reality Exercise Monitoring System as an Adjunct Tool for Prospective Teacher Trainers

This study explores the effectiveness of exercise monitoring systems in improving athlete performance and motivation within educational settings. Two hypotheses were formulated and tested: one positing that the utilization of exercise monitoring systems would reduce muscle injury rates among athletes, and the other suggesting that it would increase athletes' motivation levels. The experimental design involved dividing participants into experimental and control groups, with the former utilizing the proposed exercise monitoring system and the latter employing traditional teaching methods. Assessments were conducted post-session to measure comprehension and motivation levels, with evaluation criteria focusing on the accurate identification of course components. Contrary to expectations, the results did not support the hypotheses, indicating no significant reduction in muscle injury rates or increase in motivation levels among athletes exposed to the monitoring system. These findings underscore the need for a nuanced understanding of the complex factors influencing athlete development and performance outcomes. Future research should employ rigorous methodologies and objective outcome measures to further elucidate the role of exercise monitoring systems in athlete development and optimize their integration into training programs, thus contributing to advancements in athlete performance and motivation in educational contexts. Keywords: exercise monitoring system, real-time feedback, athlete performance, innovative instructional approaches, motivation, muscle injury, educational technology, fitness training.

Identification of effective components in Flos Chrysanthemi Indici for alleviating gouty inflammation through integrated absorption and metabolism studies

Flos Chrysanthemi Indici (FCI) is a widely used edible flower and functional food resource, whose extract demonstrates a significant inhibitory effect on monosodium urate (MSU)-induced inflammation in mice. However, the main active components responsible for this effect have remained elusive. Understanding the bioavailability of these components is essential for ensuring the efficacy of functional foods. In this study, we aimed to identify the active components of FCI by examining their in vivo exposure, including absorbed compounds and their metabolites. Initially, we investigated the profiles of FCI extract and absorption and metabolism in rat plasma. Subsequently, through cellular experiments, we found that luteolin, apigenin, luteolin-3′-O-glucuronide, luteolin-7-O-glucuronide, acacetin-7-O-glucuronide, and apigenin-7-O-glucuronide exhibited anti-inflammatory effects against MSU-induced inflammation in THP-1 macrophage cells. The active-related parent compounds in FCI (linarin and luteolin-7-O-β-d-glucoside) were considered as quality control standards for the development of functional products targeting gout. This study characterized the active polyphenolics of FCI in vivo, which may contribute to its reported anti-gout properties, providing valuable insights into the health benefits of FCI polyphenols.

Chemical Component Analysis of Marine Sponge Extract of Potentially Medicinal Based on Solvent Differences

Tracing and characterizing marine natural materials with special medicinal abilities is important to obtain new materials to enrich the diversity of drugs to treat particular diseases. The identification of the chemical components of sponges is interesting, considering the uniqueness and several other abilities possessed by sponges that are thought to have medicinal potential. Searching for chemical components in sponge extracts is suspected to contain secondary metabolic substances with medicinal potential. The study aimed to identify the chemical components of sponge extract with potential medicinal value based on differences in solvents. The first extract on the sponge Clathria (Thalysias) reinwardti Sp.1 (CTR) by maceration method using semi-polar solvents (methanol). The second extraction uses a separating funnel with two types of non-polar solvents (diethyl-ether and n-hexane). The chemical components of the three extracts were analyzed using a gas chromatography-mass spectrophotometer instrument. The identified chemical components of sponge extract generally belong to the class of free fatty acids and cholesterol. Investigation of identified compounds with medicinal value chemical components, for example, Cholestan-3.alpha.-ol, Ergosta-5, Hexadecanoic acid, 1-(2,6-Dichlorophenyl)-2-indolinone and Pyridine-3-carboxamide. Searching for chemical components with medicinal potential from sponge extracts is novelty research based on differences in solvents, a new method. Complementing the data from this research, it is necessary to carry out further and specific searches related to chemical components with medicinal properties, which can be carried out by chromatographic fractionation and testing the activity of the extract against bacteria. pathogens and parasitic fungi.

Hybrid brain tumor classification of histopathology hyperspectral images by linear unmixing and an ensemble of deep neural networks.

Hyperspectral imaging has demonstrated its potential to provide correlated spatial and spectral information of a sample by a non-contact and non-invasive technology. In the medical field, especially in histopathology, HSI has been applied for the classification and identification of diseased tissue and for the characterization of its morphological properties. In this work, we propose a hybrid scheme to classify non-tumor and tumor histological brain samples by hyperspectral imaging. The proposed approach is based on the identification of characteristic components in a hyperspectral image by linear unmixing, as a features engineering step, and the subsequent classification by a deep learning approach. For this last step, an ensemble of deep neural networks is evaluated by a cross-validation scheme on an augmented dataset and a transfer learning scheme. The proposed method can classify histological brain samples with an average accuracy of 88%, and reduced variability, computational cost, and inference times, which presents an advantage over methods in the state-of-the-art. Hence, the work demonstrates the potential of hybrid classification methodologies to achieve robust and reliable results by combining linear unmixing for features extraction and deep learning forclassification.

Use of Context in Data Quality Management: a Systematic Literature Review

The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as fitness for use and showed the influence of context on DQ. This paper presents a Systematic Literature Review (SLR) for investigating how context is taken into account in recent proposals for DQ management (DQM). We specifically present the planning and execution of the SLR, the analysis criteria and our results reflecting the relationship between context and DQ in the state of the art and, particularly, how this context is defined and used for DQM. The SLR is instrumental to the identification of context components and the design of a context formal model.

Multichannel Sandstone Thin Sections Identification Based on Improved DeepLab V3 Plus Neural Network.

As an unconventional natural gas resource, tight sandstone gas is primarily stored in the minuscule pores between rocky sand grains. A thorough understanding of the pore structure characteristics of tight sandstone reservoirs is essential for formulating an extraction plan and enhancing the efficiency of gas field development. The pore structure and mineral composition in the sandstone can be directly observed by thin sections. Nevertheless, previous approaches for the automated identification of sandstone thin sections exhibit certain limitations including slow identification, low accuracy, and challenges in the recognition of particle sizes. To achieve more accurate and convenient mineral component identification, this study introduces a multichannel identification method built upon the enhanced DeepLab V3 Plus model. Initially, all 224 × 224 × 3 cross-polarized light (CPL) and orthogonal polarized light (XPL) sandstone thin sections were amalgamated into 224 × 224 × 6 multichannel (six channels) images. Subsequently, multiple networks were employed to train the three polarized data sets, and the optimal semantic segmentation architecture and data set were selected through filtering. Following that, embedding the attention mechanism into the semantic segmentation network enhanced the identification accuracy. Ultimately, mineral sizes were calculated to enable more precise classification and naming of sandstone thin sections. The results show that the new method outperforms in terms of recognition accuracy, achieving 89.8% for Mean PA and 81.2% for Mean IOU. The novel approach's enhanced level of detailing enables more precise identification of mineral composition and pore structure, a crucial aspect in evaluating reservoirs and predicting oil and gas production. It can also provide new insights into identifying and categorizing other thin sections with similar compositions.

Liquid Chromatography-Mass Spectrometry: A Review

The analytical technique known as liquid chromatography-mass spectrometry is incredibly precise and sensitive. It's a really powerful tool. Detection, identification, and mass determination of components in the presence of additional components are carried out by mass spectrometry using sample eluents from liquid chromatography and mass spectrometry. Liquid chromatography is used to identify pharmaceutical medication components, intermediates, and related compounds for both quantitative and qualitative applications. Liquid chromatography is mostly used in-vitro dissolution, bioequivalence, bioavailability, and metabolite research. Liquid chromatography mass spectrometry is also used in forensic labs, agrochemical firms, fundamental research, and the food industry. Applications, instrumentation, and the liquid chromatography-mass spectrometry principle are covered in this review. Keywords: Liquid Chromatography, Mass Spectrometry, High Performance Liquid Chromatography, Bioequivalence, Metabolite research.

The identification of yield components, genetic variability, and heritability to determine the superior cocoa trees in West Papua, Indonesia

Abstract. Suparno A, Arbianto MA, Prabawardani S, Chadikun P, Tata H, Luhulima FDN. 2024. The identification of yield components, genetic variability, and heritability to determine the superior cocoa trees in West Papua, Indonesia. Biodiversitas 25: 2363-2373. One of the obstacles to increasing the productivity of cocoa is the existence of superior cocoa clones. This research, therefore, was carried out to select the superior cocoa tree candidates from the existing cocoa plantation populations over 30 years old, using a descriptive method on the yield components of superior cocoa candidates in PT. Cokran Cocoa Plantation, South Manokwari. This research was conducted from May 2020 to May 2022. The initial information on 32 superior cocoa trees was obtained from the farmers who were involved and worked at the PT. Cokran Cocoa Plantation for 30 years. Cocoa was planted on an area of 1,680 ha with a spacing of 2 x 4 m. Data on the 13 quantitative characters of the cocoa pod and cocoa beans were analyzed using ANOVA (SAS V.9 For Window). These 13 quantitative data, including 11 qualitative data of leaves and fruit were used to analyze the relationship of kinship pattern among the accessions using NTSys ver. 2.1. Results of the research show that 8 cocoa accessions had a high production potential of more than 6,000 g per tree annually, namely CKR-02, CKR-03, CKR-04, CKR-09, CKR-12, CKR-26, CKR-28, and CKR-41 accessions. Accessions that produced 1,000 g of dry cocoa beans in less than 20 pods were CKR-03, CKR-04, CKR-07, CKR-09, CKR-12, CKR-15, CKR-22, CKR-26, CKR-40, and CKR-41. Candidate cocoa clones that have the potency to produce dry cocoa beans with grade AA quality were CKR-03, CKR-04, CKR-12, CKR-26, CKR-40, and CKR-41. Wide phenotypic and genotypic coefficients of variations were found among the 32 accessions. High heritability was produced by pod length, pod girth, pod fresh mass, seed number/pod, seed fresh mass, and seed dry mass. The cluster analysis showed a wide morphological diversity of the 32 cocoa accession candidates based on the yield component characters.

Exploration of chemical components and metabolite synthesis pathways in eight Ephedra species based on HS-GC-MS and UPLC-Q-TOF-MS.

Ephedra, widely used in clinical practice as a medicinal herb, belongs to the genus Ephedra in the family Ephedraceae. However, the presence of numerous Ephedra varieties and variants requires differentiation for accurate identification. In this study, we employed headspace gas chromatography mass spectrometry (HS-GC-MS), ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS), and global natural products social molecular networking (GNPS) for chemical component identification. Chemometric analysis was used to analyze the differential components. Metabolic analysis and Kyoto encyclopedia of genes and genomes (KEGG) enrichment were utilized to explore the synthesis pathways of different components. A total of 83 volatile and 79 non-volatile components were identified in Ephedra species. Differential analysis revealed that among the eight Ephedra stems, 18 volatile and 19 non-volatile differential compounds were discovered, whereas Ephedra roots exhibited 21 volatile and 17 non-volatile markers. Volatile compounds were enriched in four synthetic pathways, while non-volatile components were enriched in five pathways among the differentiated components. This study is the first to conduct a comparative analysis of chemical components in different Ephedra species and parts. It provides a foundational reference for authenticating Ephedra herbs, evaluating medicinal resources, and comparing quality in future studies.

Identification of nuclear membrane SUN proteins and components associated with wheat fungal stress responses

In eukaryotes, the nuclear membrane that encapsulates genomic DNA is composed of an inner nuclear membrane (INM), an outer nuclear membrane (ONM), and a perinuclear space. SUN proteins located in the INM and KASH proteins in the ONM form the SUN-KASH NM-bridge, which functions as the junction of the nucleocytoplasmic complex junction. Proteins containing the SUN domain showed the highest correlation with differentially accumulated proteins (DAPs) in the wheat response to fungal stress. To understand the characteristics of SUN and its associated proteins in wheat responding to pathogen stress, here we investigated and comprehensive analyzed SUN- and KASH-related proteins among the DAPs under fungi infection based on their conserved motifs. In total, four SUN proteins, one WPP domain-interacting protein (WIP), four WPP domain-interacting tail-anchored proteins (WIT), two WPP proteins and one Ran GTPase activating protein (RanGAP) were identified. Following transient expression of Nicotiana benthamiana, TaSUN2, TaRanGAP2, TaWIT1 and TaWIP1 were identified as nuclear membrane proteins, while TaWPP1 and TaWPP2 were expressed in both the nucleus and cell membrane. RT-qPCR analysis demonstrated that the transcription of TaSUN2, TaRanGAP2 and TaWPP1 were strongly upregulated in response to fungal infection. Furthermore, using the bimolecular fluorescence complementation, the luciferase complementation and a nuclear and split-ubiquitin-based membrane yeast two-hybrid systems, we substantiated the interaction between TaSUN2 and TaWIP1, as well as TaWIP1/WIT1 and TaWPP1/WPP2. Silencing of TaSUN2, TaRanGAP2 and TaWPP1 in wheat leaves promoted powdery mildew infection and hyphal growth, and reduced the expression of TaBRI1, TaBAK1 and Ta14-3–3, indicating that these NM proteins play a positive role in resistance to fungal stress. Our study reveals the characteristics of NM proteins and propose the preliminary construction of SUN-WIP-WPP-RanGAP complex in wheat, which represents a foundation for detail elucidating their functions in wheat in future.

High-fat diet-negative impact on female fertility: from mechanisms to protective actions of antioxidant matrices.

Excessive calorie intake poses a significant threat to female fertility, leading to hormonal imbalances and reproductive challenges. Overconsumption of unhealthy fats exacerbates ovarian dysfunction, with an overproduction of reactive oxygen species causing oxidative stress, impairing ovarian follicle development and leading to irregular ovulation and premature ovarian failure. Interest in biological matrices with high antioxidant properties to combat diet-related oxidative stress has grown, as they contain various bioactive factors crucial for neutralizing free radicals potentially preventing female reproductive health. This systematic review evaluates the female reproductive impact of biological matrices in mitigating oxidative damages induced by over calory habits and, in particular, high fat diets. A comparative approach among mammalian models was utilized to interpret literature available data. This approach specifically investigates the antioxidant mechanisms of biological matrices on early and late ovarian folliculogenesis, under physiological and hormone-induced female reproductive cycle. Adhering to the PRISMA 2020 guidelines, only English-language publications from peer-reviewed international indexes were considered. The analysis of 121 publications meeting the inclusion criteria facilitated the identification of crucial components of biological matrices. These components, including carbocyclic sugars, phytonutrients, organosulfur compounds, and vitamins, were evaluated for their impact on ovarian follicle resilience, oocyte quality, and reproductive lifespan. The detrimental effects of oxidative stress on female fertility, particularly exacerbated by high saturated fat diets, are well-documented. In vivo studies across mammalian preclinical models have underscored the potential of antioxidants derived from biological matrices to mitigate diet-induced conditions. These antioxidants enhance steroidogenesis and ovarian follicle development, thereby improving oocyte quality. Additionally, discussions within these publications emphasized the clinical significance of these biological matrices, translating research findings into practical applications for female health. Further research is essential to fully exploit the potential of these matrices in enhancing female reproduction and mitigating the effects of diets rich in fatty acids. This requires intensified in vitro studies and comprehensive collection of in vivo data before clinical trials. The promotion of ovarian resilience offers promising avenues for enhancing understanding and advancing female reproductive health world-wide.

Analysis of fibrin networks using topological data analysis – a feasibility study

Blood clot formation, a crucial process in hemostasis and thrombosis, has garnered substantial attention for its implications in various medical conditions. Microscopic examination of blood clots provides vital insights into their composition and structure, aiding in the understanding of clot pathophysiology and the development of targeted therapeutic strategies. This study explores the use of topological data analysis (TDA) to assess plasma clot characteristics microscopically, focusing on the identification of the elements components, holes and Wasserstein distances. This approach should enable researchers to objectively classify fibrin networks based on their topologic architecture. We tested this mathematical characterization approach on plasma clots formed in static conditions from porcine and human citrated plasma samples, where the effect of dilution and direct thrombin inhibition was explored. Confocal microscopy images showing fluorescence labeled fibrin networks were analyzed. Both treatments resulted in visual differences in plasma clot architecture, which could be quantified using TDA. Significant differences between baseline and diluted samples, as well as blood anticoagulated with argatroban, were detected mathematically. Therefore, TDA could be indicative of clots with compromised stability, providing a valuable tool for thrombosis risk assessment. In conclusion, microscopic examination of plasma clots, coupled with Topological Data Analysis, offers a promising avenue for comprehensive characterization of clot microstructure. This method could contribute to a deeper understanding of clot pathophysiology and thereby refine our ability to assess clot characteristics.

Furry animal allergen components diagnosis: identification of main components and clinical management strategies

Furry animal allergens, particularly cat and dog hair and dander, are common allergens in indoor environments, affecting the health of people world widely. Key sensitizing components such as Fel d 1 from cats and Can f 1 from dogs have been extensively studied and identified by the scientific community. Component resolved diagnosis (CRD) technology in modern diagnostic methods provides an accurate way to identify and distinguish these components, which is extremely important for the prevention of furry animal allergies and the formulation of personalized treatment strategies. To enhance the understanding of furry animal component diagnosis and promote the alignment of the Chinese discipline of allergology with international standards, this article interprets and explains the content of the "Molecular Allergology User's Guide 2.0" recently released by the European Academy of Allergy and Clinical Immunology. It focuses on the epidemiological characteristics of furry animal components, the diversity of allergen protein families, and their clinical diagnosis and management.