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OBJECTIVE: Transgenic mice with fluorescent protein (FP) reporters take full advantage of new in vivo imaging technologies. Therefore, we generated a TRPC5- and a TRPA1-reporter mouse based on FP C-terminal fusion, providing us with better alternatives for studying the physiology, interaction and coeffectors of these two TRP channels at the cellular and tissue level. METHODS: We generated transgenic constructs of the murine TRPC5- and TRPA1-gene with a 3*GGGGS linker and C-terminal fusion to mCherry and mTagBFP, respectively. We microinjected zygotes to generate reporter mice. Reporter mice were examined for visible fluorescence in trigeminal ganglia with two-photon microscopy, immunohistochemistry and calcium imaging. RESULTS: Both TRPC5-mCherry and TRPA1-mTagBFP knock-in mouse models were successful at the DNA and RNA level. However, at the protein level, TRPC5 resulted in no mCherry fluorescence. In contrast, sensory neurons derived from the TRPA1-reporter mice exhibited visible mTag-BFP fluorescence, although TRPA1 had apparently lost its ion channel function. CONCLUSIONS: Creating transgenic mice with a TRP channel tagged at the C-terminus with a FP requires detailed investigation of the structural and functional consequences in a given cellular context and fine-tuning the design of specific constructs for a given TRP channel subtype. Different degrees of functional impairment of TRPA1 and TRPC5 constructs suggest a specific importance of the distal C-terminus for the regulation of these two channels in trigeminal neurons.
- MeSH
- červený fluorescenční protein MeSH
- ganglion trigeminale metabolismus MeSH
- genový knockin * MeSH
- kationtové kanály TRPC * genetika metabolismus MeSH
- kationtový kanál TRPA1 * genetika metabolismus MeSH
- luminescentní proteiny * genetika metabolismus MeSH
- myši transgenní * MeSH
- myši MeSH
- rekombinantní fúzní proteiny metabolismus genetika MeSH
- vápník metabolismus MeSH
- zvířata MeSH
- Check Tag
- myši MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Advances in paediatric type 1 diabetes management and increased use of diabetes technology have led to improvements in glycaemia, reduced risk of severe hypoglycaemia, and improved quality of life. Since 1993, progressively lower HbA1c targets have been set. The aim of this study was to perform a longitudinal analysis of HbA1c, treatment regimens, and acute complications between 2013 and 2022 using data from eight national and one international paediatric diabetes registries. METHODS: In this longitudinal analysis, we obtained data from the Australasian Diabetes Data Network, Czech National Childhood Diabetes Register, Danish Registry of Childhood and Adolescent Diabetes, Diabetes Prospective Follow-up Registry, Norwegian Childhood Diabetes Registry, England and Wales' National Paediatric Diabetes Audit, Swedish Childhood Diabetes Registry, T1D Exchange Quality Improvement Collaborative, and the SWEET initiative. All children (aged ≤18 years) with type 1 diabetes with a duration of longer than 3 months were included. Investigators compared data from 2013 to 2022; analyses performed on data were pre-defined and conducted separately by each respective registry. Data on demographics, HbA1c, treatment regimen, and event rates of diabetic ketoacidosis and severe hypoglycaemia were collected. ANOVA was performed to compare means between registries and years. Joinpoint regression analysis was used to study significant breakpoints in temporal trends. FINDINGS: In 2022, data were available for 109 494 children from the national registries and 35 590 from SWEET. Between 2013 and 2022, the aggregated mean HbA1c decreased from 8·2% (95% CI 8·1-8·3%; 66·5 mmol/mol [65·2-67·7]) to 7·6% (7·5-7·7; 59·4mmol/mol [58·2-60·5]), and the proportion of participants who had achieved HbA1c targets of less than 7% (<53 mmol/mol) increased from 19·0% to 38·8% (p<0·0001). In 2013, the aggregate event rate of severe hypoglycaemia rate was 3·0 events per 100 person-years (95% CI 2·0-4·9) compared with 1·7 events per 100 person-years (1·0-2·7) in 2022. In 2013, the aggregate event rate of diabetic ketoacidosis was 3·1 events per 100 person-years (95% CI 2·0-4·8) compared with 2·2 events per 100 person-years (1·4-3·4) in 2022. The proportion of participants with insulin pump use increased from 42·9% (95% CI 40·4-45·5) in 2013 to 60·2% (95% CI 57·9-62·6) in 2022 (mean difference 17·3% [13·8-20·7]; p<0·0001), and the proportion of participants using continuous glucose monitoring (CGM) increased from 18·7% (95% CI 9·5-28·0) in 2016 to 81·7% (73·0-90·4) in 2022 (mean difference 63·0% [50·3-75·7]; p<0·0001). INTERPRETATION: Between 2013 and 2022, glycaemic outcomes have improved, parallel to increased use of diabetes technology. Many children had HbA1c higher than the International Society for Pediatric and Adolescent Diabetes (ISPAD) 2022 target. Reassuringly, despite targeting lower HbA1c, severe hypoglycaemia event rates are decreasing. Even for children with type 1 diabetes who have access to specialised diabetes care and diabetes technology, further advances in diabetes management are required to assist with achieving ISPAD glycaemic targets. FUNDING: None. TRANSLATIONS: For the Norwegian, German, Czech, Danish and Swedish translations of the abstract see Supplementary Materials section.
- MeSH
- diabetes mellitus 1. typu * epidemiologie krev farmakoterapie MeSH
- dítě MeSH
- glykovaný hemoglobin * analýza MeSH
- hypoglykemie epidemiologie MeSH
- hypoglykemika * terapeutické užití MeSH
- kojenec MeSH
- krevní glukóza * analýza MeSH
- lidé MeSH
- longitudinální studie MeSH
- mladiství MeSH
- předškolní dítě MeSH
- registrace * statistika a číselné údaje MeSH
- regulace glykemie statistika a číselné údaje metody MeSH
- výsledek terapie MeSH
- Check Tag
- dítě MeSH
- kojenec MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
OBJECTIVES: To prospectively validate the diagnostic performance of a non-invasive point-of-care tool (Rapid IAI System), including vaginal alpha-fetoprotein and interleukin-6, to predict the occurrence of intra-amniotic inflammation in a Spanish cohort of patients admitted with a diagnosis of preterm labor and intact membranes. METHODS: From 2017 to 2022, we prospectively evaluated a cohort of pregnant women diagnosed with preterm labor and intact membranes admitted below 34+0 weeks who underwent amniocentesis to rule-in/out intra-amniotic infection and/or inflammation. Vaginal sampling was performed at the time of amniocentesis or within 24-48 h. Amniotic fluid IL-6, vaginal alpha-fetoprotein and vaginal IL-6 concentrations were measured using a point-of-care tool provided by Hologic Inc., "Rapid IAI System". We defined intra-amniotic inflammation when amniotic fluid IL-6 values were greater than 11.3 ng/mL. During recruitment, clinicians were blinded to the results of the point-of-care tool. The original prediction model proposed by Hologic Inc. to predict intra-amniotic inflammation was validated in this cohort of patients. RESULTS: We included 151 patients diagnosed with preterm labor and intact membranes. Among these, 29 (19.2 %) had intra-amniotic inflammation. The algorithm including vaginal IL-6 and alpha-fetoprotein showed an area under curve to predict intra-amniotic inflammation of 80.3 % (±5.3 %) with a sensitivity of 72.4 %, specificity of 84.6 %, positive predictive valuve (PPV) of 52.5 %, negative predictive value (NPV) of 92.9 %, and a positive likelihood ratio (LR+) of 4.6 and negative likelihood ratio (LR-) of 0.33. CONCLUSIONS: External validation of a non-invasive rapid point-of-care tool, including vaginal alpha-fetoprotein and IL-6, showed very good diagnostic performance for predicting the absence of intra-amniotic inflammation in women with preterm labor and intact membranes.
- MeSH
- alfa-fetoproteiny * analýza metabolismus MeSH
- amniocentéza metody MeSH
- chorioamnionitida * diagnóza MeSH
- dospělí MeSH
- hodnocení rizik metody MeSH
- interleukin-6 * analýza krev metabolismus MeSH
- lidé MeSH
- plodová voda * metabolismus chemie MeSH
- point of care testing MeSH
- předčasná porodní činnost * diagnóza MeSH
- prediktivní hodnota testů MeSH
- prospektivní studie MeSH
- těhotenství MeSH
- vagina metabolismus MeSH
- vyšetření u lůžka MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- těhotenství MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- validační studie MeSH
BACKGROUND: Diffuse midline glioma, H3 K27-altered (DMG) is a fatal tumour that arises in the midline structures of the brain. When located in the pons, it is more commonly referred to as diffuse intrinsic pontine glioma (DIPG). DMG/DIPG is usually diagnosed when children are < 10 years, and it has a median overall survival of < 12 months after diagnosis. Radiological imaging is still the gold standard for DIPG diagnosis while the use of biopsy procedures led to our knowledge on its biology, such as with the identification of the canonical histone H3K27M mutation. However, the need to improve survival encourages the development of non-invasive, fast and inexpensive assays on biofluids for optimizing molecular diagnoses in DMG/DIPG. Here, we propose a rapid, new, imaging and epigenetics-based approach to diagnose DMG/DIPG in the plasma of paediatric patients. METHODS: A total of 20 healthy children (mean age: 10.5 years) and 24 children diagnosed with DMG/DIPG (mean age: 8.5 years) were recruited. Individual histones (H2A, H2B, H3, H4, macroH2A1.1 and macroH2A1.2), histone dimers and nucleosomes were assayed in biofluids by means of a new advanced flow cytometry ImageStream(X)-adapted method. RESULTS: We report a significant increase in circulating histone dimers and tetramers (macroH2A1.1/H2B versus control: p value < 0.0001; macroH2A1.2/H2B versus control: p value < 0.0001; H2A/H2B versus control: p value < 0.0001; H3/H4 versus control: p value = 0.008; H2A/H2B/H3/H4 versus control: p value < 0.0001) and a significant downregulation of individual histones (H2B versus control: p value < 0.0001; H3 versus control: p value < 0.0001; H4 versus control: p value < 0.0001). Moreover, histones were also detectable in the cerebrospinal fluid (CSF) of patients with DMG/DIPG and in the supernatant of SF8628, OPBG-DIPG002 and OPBG-DIPG004 DMG/DIPG cell lines, with patterns mostly similar to each other, but distinct compared to blood plasma. CONCLUSIONS: In summary, we identified circulating histone signatures able to detect the presence of DMG/DIPG in biofluids of children, using a rapid and non-invasive ImageStream(X)-based imaging technology, which may improve diagnosis and benefit the patients.
- MeSH
- difuzní intrinsický pontinní gliom genetika diagnóza krev MeSH
- dítě MeSH
- epigeneze genetická MeSH
- gliom genetika diagnóza krev patologie diagnostické zobrazování MeSH
- histony * genetika metabolismus krev MeSH
- lidé MeSH
- mladiství MeSH
- mutace MeSH
- nádorové biomarkery krev MeSH
- nádory mozkového kmene genetika diagnóza krev diagnostické zobrazování patologie metabolismus MeSH
- předškolní dítě MeSH
- Check Tag
- dítě MeSH
- lidé MeSH
- mladiství MeSH
- mužské pohlaví MeSH
- předškolní dítě MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
PURPOSE OF REVIEW: A critical evaluation of contemporary literature regarding the role of big data, artificial intelligence, and digital technologies in precision cardio-oncology care and survivorship, emphasizing innovative and groundbreaking endeavors. RECENT FINDINGS: Artificial intelligence (AI) algorithm models can automate the risk assessment process and augment current subjective clinical decision tools. AI, particularly machine learning (ML), can identify medically significant patterns in large data sets. Machine learning in cardio-oncology care has great potential in screening, diagnosis, monitoring, and managing cancer therapy-related cardiovascular complications. To this end, large-scale imaging data and clinical information are being leveraged in training efficient AI algorithms that may lead to effective clinical tools for caring for this vulnerable population. Telemedicine may benefit cardio-oncology patients by enhancing healthcare delivery through lowering costs, improving quality, and personalizing care. Similarly, the utilization of wearable biosensors and mobile health technology for remote monitoring holds the potential to improve cardio-oncology outcomes through early intervention and deeper clinical insight. Investigations are ongoing regarding the application of digital health tools such as telemedicine and remote monitoring devices in enhancing the functional status and recovery of cancer patients, particularly those with limited access to centralized services, by increasing physical activity levels and providing access to rehabilitation services. SUMMARY: In recent years, advances in cancer survival have increased the prevalence of patients experiencing cancer therapy-related cardiovascular complications. Traditional cardio-oncology risk categorization largely relies on basic clinical features and physician assessment, necessitating advancements in machine learning to create objective prediction models using diverse data sources. Healthcare disparities may be perpetuated through AI algorithms in digital health technologies. In turn, this may have a detrimental effect on minority populations by limiting resource allocation. Several AI-powered innovative health tools could be leveraged to bridge the digital divide and improve access to equitable care.
- Publikační typ
- časopisecké články MeSH
The COVID-19 Pandemic contributed to accelerating the process of using information and communication technologies and digital technologies in healthcare management and delivery within healthcare systems. At that time, the Czech healthcare system faced the same problems as other European systems and struggled with a temporary limitation of direct provision of healthcare services. It was solved by switching to telemedicine. The Czech healthcare system used telemedicine to a minimal extent until then. Despite adopting the law on healthcare digitisation, it is still one of the countries with a lower level of digitisation of healthcare processes. The article presents the results of an exploratory expert investigation focused on the implementation and development of telemedicine in the Czech Republic. The conducted research aimed to identify problems related to the implementation of telemedicine in practice, place them in the broader framework of the healthcare system and structure them, propose possible solutions, and identify the future challenges of telemedicine in the Czech Republic. We based our study on the results of a three-phase QUAL-QUAN-QUAL research. Data collection in the first phase took the form of individual semi-structured interviews with patients (25) with practical experience in the field of telemedicine, followed by the second quantitative phase of the questionnaire survey with patients (650). The third qualitative phase included semi-structured interviews with experts (17) with practical experience in telemedicine. The introduction and expansion of telemedicine require several fundamental changes. These include adjustments to the legislative environment and changes to the technological infrastructure, organisation of care and work. Several barriers have been identified at the healthcare system level, healthcare providers, healthcare professionals and patients.
- MeSH
- COVID-19 * epidemiologie MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- pandemie * MeSH
- poskytování zdravotní péče organizace a řízení MeSH
- průzkumy a dotazníky MeSH
- rozhovory jako téma MeSH
- SARS-CoV-2 MeSH
- senioři MeSH
- telemedicína * organizace a řízení MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika MeSH
The precise measurement of cell temperature and an in-depth understanding of thermogenic processes are critical in unraveling the complexities of cellular metabolism and its implications for health and disease. This review focuses on the mechanisms of local temperature generation within cells and the array of methods developed for accurate temperature assessment. The contact and noncontact techniques are introduced, including infrared thermography, fluorescence thermometry, and other innovative approaches to localized temperature measurement. The role of thermogenesis in cellular metabolism, highlighting the integral function of temperature regulation in cellular processes, environmental adaptation, and the implications of thermogenic dysregulation in diseases such as metabolic disorders and cancer are further discussed. The challenges and limitations in this field are critically analyzed while technological advancements and future directions are proposed to overcome these barriers. This review aims to provide a consolidated resource for current methodologies, stimulate discussion on the limitations and challenges, and inspire future innovations in the study of cellular thermodynamics.
- MeSH
- lidé MeSH
- teplota MeSH
- termogeneze * fyziologie MeSH
- termografie * metody MeSH
- termometrie metody MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
BACKGROUND: As the healthcare sector evolves, Artificial Intelligence's (AI's) potential to enhance laboratory medicine is increasingly recognized. However, the adoption rates and attitudes towards AI across European laboratories have not been comprehensively analyzed. This study aims to fill this gap by surveying European laboratory professionals to assess their current use of AI, the digital infrastructure available, and their attitudes towards future implementations. METHODS: We conducted a methodical survey during October 2023, distributed via EFLM mailing lists. The survey explored six key areas: general characteristics, digital equipment, access to health data, data management, AI advancements, and personal perspectives. We analyzed responses to quantify AI integration and identify barriers to its adoption. RESULTS: From 426 initial responses, 195 were considered after excluding incomplete and non-European entries. The findings revealed limited AI engagement, with significant gaps in necessary digital infrastructure and training. Only 25.6 % of laboratories reported ongoing AI projects. Major barriers included inadequate digital tools, restricted access to comprehensive data, and a lack of AI-related skills among personnel. Notably, a substantial interest in AI training was expressed, indicating a demand for educational initiatives. CONCLUSIONS: Despite the recognized potential of AI to revolutionize laboratory medicine by enhancing diagnostic accuracy and efficiency, European laboratories face substantial challenges. This survey highlights a critical need for strategic investments in educational programs and infrastructure improvements to support AI integration in laboratory medicine across Europe. Future efforts should focus on enhancing data accessibility, upgrading technological tools, and expanding AI training and literacy among professionals. In response, our working group plans to develop and make available online training materials to meet this growing educational demand.
- MeSH
- klinické laboratoře MeSH
- lidé MeSH
- průzkumy a dotazníky MeSH
- umělá inteligence * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Evropa MeSH
BACKGROUND: The integration of robotic technology into surgical procedures has gained considerable attention for its promise to enhance a variety of clinical outcomes. Robotic deep inferior epigastric perforator (DIEP) flap harvest has emerged as a novel approach for autologous breast reconstruction. This systematic review aims to provide a comprehensive overview of the current techniques, outcomes, and complications of robotic DIEP flap surgery. METHODS: A systematic literature search was conducted after PRISMA 2020 guidelines across databases including PubMed, Embase, Google Scholar, and Web of Science from 2000 to 2023. Articles exploring robotic DIEP flap harvest for breast reconstruction were assessed to compare operative techniques, clinical outcomes, and complications. The risk of bias was evaluated using ROBINS-I and the Newcastle-Ottawa scale. RESULTS: Fourteen studies involving 108 patients were included. Three studies used a totally extraperitoneal (TEP) technique, whereas 11 studies used a transabdominal preperitoneal (TAPP) approach. Preoperative planning utilized computed tomography angiography and magnetic resonance angiography imaging. The mean robotic operative time was 64 minutes, with total operative times averaging 574 minutes for TAPP and 497 minutes for TEP. The mean length of stay was 5 days, and the mean fascial incision length was 3 cm. Overall complication rate was 14.9%, with no significant difference compared with conventional DIEP flap procedures. CONCLUSION: Robotic DIEP flap harvest is a promising technique that may reduce postoperative pain and limiting abdominal donor site morbidity. Potential limitations include longer operative times, variable hospital stays, and increased costs.
- MeSH
- arteriae epigastricae * transplantace MeSH
- délka operace * MeSH
- délka pobytu MeSH
- lidé MeSH
- mamoplastika * metody MeSH
- odběr tkání a orgánů metody MeSH
- perforátorový lalok * krevní zásobení MeSH
- pooperační komplikace prevence a kontrola MeSH
- roboticky asistované výkony * metody MeSH
- Check Tag
- lidé MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- systematický přehled MeSH
PURPOSE OF REVIEW: Upper tract urothelial carcinoma (UTUC) is a rare malignancy posing significant diagnostic and management challenges. This review provides an overview of the evidence supporting various imaging modalities and offers insights into future innovations in UTUC imaging. RECENT FINDINGS: With the growing use of advancements in computed tomography (CT) technologies for both staging and follow-up of UTUC patients, continuous innovations aim to enhance performance and minimize the risk of excessive exposure to ionizing radiation and iodinated contrast medium. In patients unable to undergo CT, magnetic resonance imaging serves as an alternative imaging modality, though its sensitivity is lower than CT. Positron emission tomography, particularly with innovative radiotracers and theranostics, has the potential to significantly advance precision medicine in UTUC. Endoscopic imaging techniques including advanced modalities seem to be promising in improved visualization and diagnostic accuracy, however, evidence remains scarce. Radiomics and radiogenomics present emerging tools for noninvasive tumor characterization and prognosis. SUMMARY: The landscape of imaging for UTUC is rapidly evolving, with significant advancements across various modalities promising improved diagnostic accuracy, patient outcomes, and safety.
- MeSH
- karcinom z přechodných buněk * diagnóza diagnostické zobrazování terapie patologie MeSH
- lidé MeSH
- magnetická rezonanční tomografie metody MeSH
- nádory ledvin diagnostické zobrazování terapie diagnóza patologie MeSH
- nádory močovodu diagnostické zobrazování diagnóza terapie patologie MeSH
- počítačová rentgenová tomografie metody MeSH
- pozitronová emisní tomografie metody MeSH
- staging nádorů MeSH
- urologické nádory diagnóza diagnostické zobrazování terapie patologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH