Východiská: Endometriálny karcinóm (EC) je najčastejšou rakovinou ženského reprodukčného traktu vo vyspelých krajinách. Prognóza a päťročná miera prežitia úzko súvisia so štádiom pri diagnostikovaní. Súčasné rutinné diagnostické metódy EC sú buď málo špecifické alebo pre pacientku nepríjemné, invazívne a bolestivé. Aktuálne je zlatým diagnostickým štandardom endometriálna biopsia. Včasná a neinvazívnu diagnostika EC vyžaduje identifikáciu nových markerov ochorenia a skríningový test aplikovateľný do rutinnej laboratórnej diagnostiky. Aplikácia necielenej metabolomiky v kombinácii s nástrojmi umelej inteligencie a bioštatistiky má potenciál kvalitatívne a kvantitatívne prezentovať metabolóm, ale jej zavedenie do rutinnej diagnostiky je z dôvodu finančnej, časovej aj interpretačnej náročnosti v súčasnosti nereálne. Fluorescenčná spektrálna analýza telových tekutín využíva autofluorescenciu určitých metabolitov na definovanie zloženia metabolómu za fyziologických podmienok. Cieľ: Tento prehľadový článok poukazuje na potenciál fluorescenčnej spektroskopie pri včasnej detekcii EC. Dáta získané trojrozmernou fluorescenčnou spektroskopiou definujú kvantitatívne aj kvalitatívne zloženie komplexného fluorescenčného metabolómu a sú vhodné na identifikáciu biochemických metabolických zmien spojených s karcinogenézou endometria. Autofluorescencia biologických tekutín má perspektívu poskytnúť nové molekulové markery EC. Integráciou algoritmov strojového učenia a umelej inteligencie pri dátovej analýze fluorescenčného metabolómu má táto technika veľký potenciál byť implementovaná do rutinnej laboratórnej diagnostiky.
Background: Endometrial carcinoma (EC) is the most common cancer of the female reproductive tract in developed countries. The prognosis and 5-year survival rates are closely tied to the stage diagnosis. Current routine diagnostic methods of EC are either lacking specificity or are uncomfortable, invasive and painful for the patient. As of now, the gold diagnostic standard is endometrial biopsy. Early and non-invasive diagnosis of EC requires the identification of new biomarkers of disease and a screening test applicable to routine laboratory diagnostics. The application of untargeted metabolomics combined with artificial intelligence and biostatistics tools has the potential to qualitatively and quantitatively represent the metabolome, but its introduction into routine diagnostics is currently unrealistic due to the financial, time and interpretation challenges. Fluorescence spectral analysis of body fluids utilizes autofluorescence of certain metabolites to define the composition of the metabolome under physiological conditions. Purpose: This review highlights the potential of fluorescence spectroscopy in the early detection of EC. Data obtained by three-dimensional fluorescence spectroscopy define the quantitative and qualitative composition of the complex fluorescent metabolome and are useful for identifying biochemical metabolic changes associated with endometrial carcinogenesis. Autofluorescence of biological fluids has the prospect of providing new molecular markers of EC. By integrating machine learning and artificial intelligence algorithms in the data analysis of the fluorescent metabolome, this technique has great potential to be implemented in routine laboratory diagnostics.
- MeSH
- diagnostické techniky a postupy MeSH
- fluorescenční spektrometrie metody MeSH
- lidé MeSH
- metabolomika metody MeSH
- nádory endometria * diagnostické zobrazování metabolismus MeSH
- optické zobrazování * metody MeSH
- tělesné tekutiny diagnostické zobrazování MeSH
- tryptofan fyziologie metabolismus MeSH
- uterus diagnostické zobrazování MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- práce podpořená grantem MeSH
- přehledy MeSH
Výskum črevnej mikrobioty priniesol cenné informácie o jej zložení a funkcii, ako aj o súvislostiach medzi zmenami jej zloženia a rôznymi črevnými aj systémovými ochoreniami. Črevná mikrobiota plní množstvo dôležitých funkcií vo vzťahu k hostiteľovi a ovplyvňuje rôzne fyziologické deje. Črevné baktérie syntetizujú zlúčeniny nevyhnutné pre správne fungovanie organizmu (napr. vitamíny, mastné kyseliny s krátkym reťazcom, aminokyseliny), pomáhajú udržiavať integritu črevnej bariéry a chránia pred patogénmi. Rozhodujúcu úlohu má črevná mikrobiota vo vývoji a funkcii imunitného systému. Výrazné zmeny v zložení črevnej mikrobioty vedú k dysbiotickému stavu a k strate jej prospešných funkcií pre človeka. Predkladaný článok je súhrnom informácií o zložení a funkcii bakteriálnej zložky črevnej mikrobioty u zdravých ľudí, o úlohe črevných baktérií vo vývoji imunitného systému a o mechanizmoch, ktoré sa podieľajú na udržiavaní homeostázy. Predstavuje aj aktuálne poznatky o možnosti cielenej modulácie bakteriálnej črevnej mikrobioty a fekálnej transplantácii.
Research of the gut microbiota allows a better understanding of its composition and function and reveals the links between changes in the composition of bacteria and various intestinal but also systemic diseases. The gut microbiota performs several of important functions in the host body and influences many physiological processes. Gut bacteria synthesize many compounds needed for the proper function of the body (e.g., vitamins, short-chain fatty acids, and amino acids). They help maintain the integrity of the intestinal barrier and protect against pathogens. The gut microbiota plays a crucial role in the development and function of the immune system. Significant changes in the composition of the intestinal microbiota led to a dysbiotic state and the loss of its beneficial functions for humans. The review article summarizes the basic knowledge about the composition and function of the bacterial gut microbiota in healthy people, its role in the development of the immune system, and the mechanisms involved in maintaining homeostasis. It also presents current knowledge about the possibility of targeted modulation of the bacterial gut microbiota and faecal transplantation.
- MeSH
- fekální transplantace metody MeSH
- imunitní systém MeSH
- lidé MeSH
- prebiotika MeSH
- probiotika MeSH
- střevní mikroflóra * MeSH
- synbiotika MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- přehledy MeSH
The increased interest in assisted reproduction through in vitro fertilization (IVF) leads to an urgent need to identify biomarkers that reliably highly predict the success of pregnancy. Despite advances in diagnostics, treatment, and IVF approaches, the 30% success rate of IVF seems insurmountable. Idiopathic infertility does not have any explanation for IVF failure especially when a patient is treated with a healthy competitive embryo capable of implantation and development. Since appropriate intercellular communication is essential after embryo implantation, the emergence of the investigation of embryonic secretome including short non-coding RNA (sncRNA) molecules is crucial. That's why biomarker identification, sncRNAs secreted during the IVF process into the blastocyst's cultivation medium, by the implementation of artificial intelligence opens the door to a better understanding of the bidirectional communication between embryonic cells and the endometrium and so the success of the IVF. This study presents a set of promising new sncRNAs which are revealed to predictively distinguish a high-quality embryo, suitable for an embryo transfer in the IVF process, from a low-quality embryo with 86% accuracy. The identified exact combination of miRNAs/piRNAs as a non-invasively obtained biomarker for quality embryo determination, increasing the likelihood of implantation and the success of pregnancy after an embryo transfer.
- Publikační typ
- abstrakt z konference MeSH
- Publikační typ
- abstrakt z konference MeSH
- Publikační typ
- abstrakt z konference MeSH
Cardiovascular comorbidities are independent risk factors for mortality in dialysis patients. MicroRNA signaling has an important role in vascular aging and cardiac health, while physical activity is a primary nonpharmacologic treatment for cardiovascular comorbidities in dialysis patients. To identify the relationships between muscle function, miRNA signaling pathways, the presence of vascular calcifications and the severity of cardiovascular comorbidities, we initially enrolled 90 subjects on hemodialysis therapy and collected complete data from 46 subjects. A group of 26 subjects inactiv group (INC) was monitored during 12 weeks of physical inactivity and another group of 20 patients exercise group (EXC) was followed during 12 weeks of intradialytic, moderate intensity, resistance training intervention applied three times per week. In both groups, we assessed the expression levels of myo-miRNAs, proteins, and muscle function (MF) before and after the 12-week period. Data on the presence of vascular calcifications and the severity of cardiac comorbidities were collected from the patients' EuCliD® records. Using a full structural equitation modelling of the total study sample, we found that the higher the increase in MF was observed in patients, the higher the probability of a decrease in the expression of miR-206 and TRIM63 and the lower severity of cardiac comorbidities. A reduced structural model in INC patients showed that the higher the decrease in MF, the higher the probability of the presence of calcifications and the higher severity of cardiac comorbidities. In EXC patients, we found that the higher the increase in MF, the lower the probability of higher severity of cardiovascular comorbidities.
- MeSH
- cévní endotel metabolismus MeSH
- cvičení fyziologie MeSH
- dialýza ledvin * MeSH
- kardiovaskulární nemoci krev genetika terapie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mikro RNA biosyntéza krev genetika MeSH
- sedavý životní styl MeSH
- senioři MeSH
- stanovení celkové genové exprese metody MeSH
- stárnutí krev genetika MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- práce podpořená grantem MeSH
Adrenal incidentalomas (AI) are very common and mostly they are non-functioning adenomas (NFA). NFAs are often associated with insulin resistance and metabolic syndrome. Several biomarkers, including certain growth factors, may participatein the pathogenesis ofmetabolic changes in patients with adrenal adenomas.Patients with NFA and age-matched control subjects were enrolled in the study. Data on age, gender, presence of metabolic syndrome or its components were obtained for each subject. Blood samples were obtained and glycemia, insulinemia, lipid profile, and selected growth factor levels were measured. Forty-three patients with NFA and 40 controls were included in the study. Differences were not found in the metabolic syndrome and its components prevalence or in the biochemical profile between patients and the control group. Significant differences were noticed in the levels of IGF1, IGF2, and IGFBP3 (p=0.016, p=0.005, p=0.004, respectively), but there were no differences in VEGF or EGF concentrations. In NFA patients, an association between glycemia and EGF levels was present (p=0.026). No significant correlations between tumor size and insulin or growth factor concentrations were present in AI patients. Significantly higher serum IGF1, IGF2, and IGFBP3 concentrations in NFA patients may support the role of the IGF axis in the pathogenesis of adrenocortical lesions.No correlation between IGFs or IGFBP3 and parameters of glucose or lipid metabolism was found. Present results may support the role of the growth hormone axis rather than hyperinsulinemia and insulin resistance in the pathogenesis of adrenocortical adenomas.
- MeSH
- adenom kůry nadledvin krev patologie MeSH
- adrenokortikální nádory krev patologie MeSH
- dospělí MeSH
- epidermální růstový faktor krev MeSH
- IGFBP-3 krev MeSH
- insulinu podobný růstový faktor I metabolismus MeSH
- insulinu podobný růstový faktor II metabolismus MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádorové biomarkery krev MeSH
- prognóza MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
The miRNA-206 and miRNA-23a play an important role in muscle tissue hypertrophy, regeneration and atrophy. Both of these miRNAs have been highlighted as promising adaptation predictors; however, the available evidence on associations is inconclusive. Therefore, our aim was to assess the expression levels of these two miRNAs as predictors of change in muscle function during strength training and physical inactivity among dialysed patients. For this purpose, 46 haemodialysis patients were monitored for 12-weeks of either intradialytic strength training (EXG, n = 20) or physical inactivity during dialysis (CON, n = 26). In both groups of patients, we assessed the baseline expression levels of miRNA-23a and miRNA-206 and the isometric force generated during hip flexion (HF) contraction before and after the 12-week period. Among the EXG group, the expression of miRNA-206 predicted the change in HF (R2 = 0.63, p = 0.0005) much more strongly than the expression of miRNA-23a (R2 = 0.21, p = 0.027). Interestingly, baseline miRNA-23a (R2 = 0.30, p = 0.006) predicted the change in HF much more than miRNA-206 (p = ns) among the CON group. Our study indicates that the baseline expression of miRNA-206 could predict the response to strength training, while miRNA-23a could serve as a potential predictive marker of functional changes during physical inactivity in dialysis patients.
- MeSH
- biologické markery analýza MeSH
- dialýza ledvin metody MeSH
- fyziologická adaptace MeSH
- kondiční příprava zvířat * MeSH
- kosterní svaly metabolismus patofyziologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- mikro RNA analýza genetika MeSH
- odporový trénink * MeSH
- sedavý životní styl * MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Publikační typ
- abstrakt z konference MeSH
