Long-term Measurements Research Articles

Progress in the study of toxic effects of drugs on the male reproductive system

This paper provides a comprehensive summary of the toxic effects of drugs on the male reproductive system, with a special focus on the mechanisms of testicular and sperm damage caused by chemotherapeutic agents, antibiotics, and immunosuppressants. Drug-induced reproductive toxicity usually manifests through multiple pathways including direct injury, interference with hormone regulation, oxidative stress, and DNA damage. These mechanisms can lead to impaired spermatogenesis, decreased testicular function, and long-term infertility, thereby seriously affecting male reproductive health. Specifically, chemotherapeutic drugs, such as cisplatin and cyclophosphamide, have been widely documented to cause direct damage to the testes, leading to significant decreases in sperm quantity and quality. Antibiotics and nonsteroidal anti-inflammatory drugs also negatively affect reproductive function by affecting mitochondrial function and inducing oxidative stress in the testicular cells. Although important advances have been made in recent years in the study of drug-induced reproductive toxicity, further exploration is needed to assess the variability of individual responses to drugs and develop long-term protective measures. Future research should focus on developing accurate toxicity assessment methods, customized therapeutic regimens, and enhanced fertility protection strategies, such as the use of antioxidants and methods for the cryopreservation of testes and sperm. Interdisciplinary collaboration will provide new solutions for balancing disease treatment and fertility preservation, especially in the use of high-risk drugs, such as anticancer therapies, where achieving both efficacy and reproductive health will be an important clinical challenge.

Meniscal allograft transplantation in patients with substantial cartilage disease led to a sustained long-term improvement in patient-reported outcome measures.

Due to a lack of consensus regarding effective treatment options in young patients, the indications of meniscal allograft transplantation (MAT) have widened to include those with substantial cartilage disease. The aim of this study was to report the long-term patient-reported outcome measures (PROMs) and allograft survival rates for patients with substantial cartilage disease. A review of the prospectively maintained database was performed. Patients with International Cartilage Repair Society 3b or above cartilage grading in either their femur or tibia were classified as having substantial cartilage disease. Postoperative International Knee Documentation Committee, Tegner, Knee Injury and Osteoarthritis Outcome Score and Lysholm were compared between those with and without substantial cartilage disease. Kaplan-Meir analysis was used to assess the survival rates. Survival was defined as revision or removal of allograft or conversion to arthroplasty. Data from 422 patients were included in the analysis with 129 patients found to have full-thickness chondral lesions and 281 patients without full-thickness chondral lesions. The mean follow-up was 6.33 (SD 3.48) years for the cohort. The mean age for the entire cohort was 30 (SD 9.23). Patients in substantial cartilage disease group underwent meniscal transplantation at an older age (32 [standard deviation {SD} 8.47] years vs. 29 [SD 9.35] years [p < 0.001]). There was no significant difference in PROMs between the two groups up to 10 years postoperatively (p > 0.05). The substantial cartilage disease group had significantly lower survival rates compared to those without (80.62% vs. 94.32%). MAT in the context of substantial cartilage disease was associated with an improvement in PROMs up to 10 years with no difference to the group without substantial cartilage disease. The PROMs in combination with the long-term survival rates in this study can be used to counsel patients preoperatively. Level IV.

Development of a DualEmission Laser-Induced Fluorescence (DELIF) Method for Long-Term Temperature Measurements

The fluorescence intensity of fluorescent dyes typically employed in the dual-emission laser-induced fluorescence (DELIF) method gradually degrades as the excitation time increases, and the degradation rate depends on the type of fluorescent dye used. Therefore, the DELIF method is unsuitable for long-term temperature measurements. In this study, we focused on the fluorescence intensity ratio of a single fluorescent dye at two fluorescence wavelengths and developed a DELIF method for long-term temperature measurements based on this ratio. The fluorescence intensity characteristics of Fluorescein disodium and Rhodamine B, which are typically used in the DELIF method, in the temperature range of 10–60 °C were comprehensively investigated using two high-speed monochrome complementary metal-oxide semiconductor cameras and narrow bandpass filters. Interestingly, the ratio of the fluorescence intensity of each fluorescent dye at the peak emission wavelength of the fluorescence spectrum, λ, to the fluorescence intensity at wavelengths very close to the peak wavelength (λ ± 10 nm) was highly sensitive to temperature variations but not excitation time. Particularly, when Rhodamine B was used, the selection of the fluorescence intensity ratios at a wavelength combination of 589 and 600 nm enabled highly accurate temperature measurements with a temperature resolution of ≤0.042 °C. Moreover, the fluorescence intensity ratio varied negligibly throughout the excitation time of 180 min, with a measurement uncertainty (95% confidence interval) of 0.045 °C at 20 °C. The results demonstrate that the proposed DELIF method enables highly accurate long-term temperature measurements.

Multiyear high-temporal-resolution measurements of submicron aerosols at 13 French urban sites: data processing and chemical composition

Abstract. This paper presents a first comprehensive analysis of long-term measurements of atmospheric aerosol components from aerosol chemical speciation monitor (ACSM) and multiwavelength Aethalometer (AE33) instruments collected between 2015 and 2021 at 13 (sub)urban sites as part of the French CARA (Chemical Characterization of Particles) program. The datasets contain the mass concentrations of major chemical species within submicron aerosols (PM1), namely organic aerosols (OAs), nitrate (NO3-), ammonium (NH4+), sulfate (SO42-), non-sea-salt chloride (Cl−), and equivalent black carbon (eBC). Rigorous quality control, technical validation, and environmental evaluation processes were applied, adhering to both guidance from the French Reference Laboratory for Air Quality Monitoring (LCSQA) and the Aerosol, Clouds, and Trace Gases Research Infrastructure (ACTRIS) standard operating procedures. Key findings include geographical differences in the aerosol chemical composition, seasonal variations, and diel patterns, which are influenced by meteorological conditions, anthropogenic activities, and proximity to emission sources. Overall, OA dominates PM1 at each site (43 %–60 % of total mass), showing distinct seasonality with higher concentrations (i) in winter, due to enhanced residential heating emissions, and (ii) in summer, due to increased photochemistry favoring secondary aerosol formation. NO3 is the second most important contributor to PM1 (15 %–30 %), peaking in late winter and early spring, especially in northern France, and playing a significant role during pollution episodes. SO4 (8 %–14 %) and eBC (5 %–11 %) complement the major fine-aerosol species, with their relative contributions strongly influenced by the origin of air masses and the stability of meteorological conditions, respectively. A comparison with the 3D chemical transport model (CTM) CHIMERE shows high correlations between simulations and measurements, albeit with an OA concentration underestimation of 46 %–76 %. Regional discrepancies in NO3 concentration levels emphasize the importance of these datasets with respect to validating air quality models and tailoring air pollution mitigation strategies. The datasets can be found at https://doi.org/10.5281/zenodo.13318298 (Chebaicheb et al., 2024).

Performance of Triple-Cation Perovskite Solar Cells under Different Indoor Operating Conditions.

We systematically analyze triple-cation perovskite solar cells for indoor applications. A large number of devices with different bandgaps from 1.6 to 1.77 eV were fabricated, and their performance under 1-sun AM1.5 and indoor white light emitting diode (LED) light was compared. We find that the trends agree well with the detailed balance limit; however, the devices near the optimal bandgap (1.77 eV) perform worse due to the lower perovskite quality. Instead, we achieve the highest power conversion efficiency (PCE) of 34.0% under 870 lx with 1.67 eV and Al2O3 passivation. The perovskite with a bandgap of 1.71 eV is not far behind, with a high VOC of 1.02 V. Measurements under different white LED color temperatures confirm that the highest PCE is achieved under the warmest colors. All measurements were carried out in a dedicated indoor setup that ensures the diffuse light typical of indoor environments and allows both short- and long-term measurements. In the best case, we observe no degradation during the 33-day test under simulated office conditions with regular switching on and off of the light and a T80 of 30 days under continuous illumination. The results were obtained from multiple batches, which corroborates our findings and gives them statistical relevance.

CO2 variability over a tropical coastal station in India: Synergy of observation and model

Carbon dioxide (CO2), being the prime greenhouse gas, has largest contribution in radiative forcing and global warming due to increased anthropogenic emissions leading to regional and global climate change. We performed CO2 measurements using a continuous monitoring instrument at a tropical coastal station at the southern tip of India (Thumba; 8.54° N, 76.86° E) during 2017–2021. Combining measurements with model simulations and satellite observations, present study aims to understand CO2 variabilities, contribution of various sources and role of dynamics. The observed trend of 2.19 ppm y−1 is well simulated (2.47 ppm y−1) by the chemistry-transport model (MIROC4-ACTM), which is contributed by trends in fossil fuel (4.59 ppm y−1), biosphere (−1.46 ppm y−1) and ocean (−0.66 ppm y−1) tracers of CO2 flux. Mean seasonal cycle with amplitude of about 8 ppm is observed, with a maximum during premonsoon (April) and minimum at the end of the monsoon season (September). The model reproduced the observed seasonal cycle well (r2 = 0.89) and showed that the seasonal peak is predominantly contributed by the land biospheric flux seasonality. Biospheric sink during postmonsoon is counterbalanced by emissions from fossil fuel burning. Biosphere and fossil fuel are major contributors in shaping the observed seasonal pattern with negligible seasonality in oceanic tracer due to its uniform flux patterns in the Indian Ocean. Mean diurnal pattern of CO2 exhibits lower values during daytime (cleaner marine airmass) and higher values during nighttime (continental airmass) with deeper diurnal amplitude in the winter (~50 ppm) than in the summer (~31 ppm). Seasonal pattern in total column CO2 from OCO-2 (Orbiting Carbon Observatory-2) is similar to the surface observations but shows nearly half of the observed seasonal amplitude. Long-term continuous measurements over distinct environments are desirable for further deepening the understanding of CO2 variability, estimation of regional carbon budget and for climate mitigation policies.

First Long-Term Measurements on Kazakhstan Shelf of the Caspian Sea Reveal Alternating Currents and Energetic Temperature Variability

First Long-Term Measurements on Kazakhstan Shelf of the Caspian Sea Reveal Alternating Currents and Energetic Temperature Variability

A multi-year study of acoustic propagation and ambient sound in a Thalassia testudinum seagrass meadow in a shallow sub-tropical lagoona).

Seagrasses provide a multitude of ecosystem services and act as important carbon sinks. However, seagrass habitats are declining globally, and they are among the most threatened ecosystems on earth. For these reasons, long-term and continuous measurements of seagrass parameters are of primary importance for ecosystem health assessment and sustainable management. This paper presents results from both active and passive acoustical methods for ecosystem monitoring in seagrass meadows. From a propagation perspective, gas bodies contained within the seagrass tissue as well as photosynthetic-driven bubble production result in attenuation, dispersion, and scattering of sound that produce increased transmission loss. For the passive approach, the detachment of gas bubbles from the plants is an important component of the ambient soundscape. Examples of both techniques will be presented based on data collected as part of a two-year continuous deployment of an acoustical measurement system operating in a moderately dense seagrass bed dominated by Thalassia testudinum (turtle grass) in Corpus Christi Bay, Texas. The data show annual trends related to the seasonal growth pattern of Thalassia as well as diurnal trends correlated with photosynthetically active radiation.

Quantifying the impact of disease severity changes on the burden of blindness: A global decomposition analysis.

Despite the significant impact of blindness on the affected individuals' quality of life, its burden has not been assessed according to temporal cause-specific changes in severity, impeding our ability to evaluate the impact of blindness on population health accurately. Therefore, we aimed to comprehensively quantify the changes in cause-specific blindness burden according to changes in disease severity for 18 causes of blindness. For this cross-sectional population-based study, we derived data on prevalence, disability-adjusted life-years (DALYs), and population size between 1990 and 2019 from the Global Burden of Disease 2019 study. Using the decomposition method, we attributed changes in total DALYs to population growth, population ageing, and changes in prevalence rate and disease severity between 1990 and each subsequent year globally, regionally, nationally, and by sex, cause, and sociodemographic index (SDI). The absolute and relative contributions to the variation in blindness-related DALYs between 1990 and each year from 1991 to 2019 then served as a measure of changes in disease severity. Changes in disease severity from 1990 to 2019 were associated with 15 165.11 DALYs in men and 20 639.32 DALYs in women. We observed disease severity increases in most countries/territories, with attributable DALY proportions ranging from -0.07% to 1.30% in men and from -0.06% to 1.73% in women. Notably, both attributable proportions and DALYs were greater in women than men. The largest increases in attributable DALYs were observed for cataracts, refraction disorders, and glaucoma globally; age-related macular degeneration in high-SDI countries; and trachoma and retinopathy of prematurity in lower-SDI countries. Growth in the burden of cause-specific blindness due to increased disease severity reflects the lag of healthy vision life behind increasing life expectancy, necessitating the implementation of preventive and long-term therapeutic measures focussed on improving visual outcomes.

Assessment of socio-economic strategies for managing regional flood risk in an urban coastal catchment

With the cascading flooding events over the past decades, several structural and non-structural measures have been effectively implemented for improved flood management. However, the uneven impacts of the flooding events have highlighted that socio-economic inequality amongst the community needs to be addressed along with hazards to devise long term and sustainable flood management strategies. This study aims to evaluate the impact of socio-economic adaptive scenarios over an urban coastal catchment for reduction in flood risk. Flood risk is estimated utilizing socio-economic aspects (vulnerability) and flood inundation (hazard), for the highly flood-prone coastal city of Mumbai, India. A multivariate approach is used for assessing socio-economic vulnerability, starting with Principal Component Analysis followed by Data Envelopment Analysis, for various socio-economic scenarios, i.e., by reducing percentage of certain feasible socio-economic sensitivity indicators, to identify the key indicators, which contribute to significant change in vulnerability. The flood hazard is assessed through a comprehensive hydrodynamic flood modelling approach to quantify the flood inundation depth and extent. The flood risk is, thereafter, evaluated by combining socio-economic vulnerability and flood hazard using bivariate risk mapping approach. The results indicate that, with the decrease in alteration percentage of certain feasible socio-economic sensitivity indicators, the overall vulnerability and flood risk may be reduced. The areas under very high and high vulnerability classes reduce gradually for all scenarios as the percentage reduction for various indicators is varied from 5 % to 15 %, total illiteracy being the most significant indicator. This study marks the first effort to discern socio-economic vulnerability indicators that have the potential to significantly diminish flood risk, thereby constituting a viable long-term flood risk mitigation strategy. This novel framework is generic and applicable to any flood prone catchments, to devise appropriate long-term flood management measures.

Beyond the “Hybrid Attack” Paradigm: EU-Belarus Border Crisis and the Erosion of Asylum-Seeker Rights in Latvia, Lithuania and Poland

While in the recent years violations of asylum-seeker rights have been increasingly documented in EU Member States, the crisis at the EU-Belarus border has opened up a whole new chapter in this area. In response to the perceived migrant instrumentalisation by the Belarusian regime, several Member States—Latvia, Lithuania and Poland—have openly introduced long-term, far-reaching and blanket legislative measures that severely restricted the right to seek asylum and formalised pushbacks—contrary to their obligations under EU law and international refugee and human rights law. This paper approaches the topic from a comparative socio-legal perspective. Apart from a legal analysis of the Latvian, Lithuanian and Polish domestic measures, it is based on interviews with non-EU nationals affected, as well as NGO representatives, volunteers and legal practitioners who have been providing legal and humanitarian assistance to people crossing from Belarus. The paper, first, offers an overview of Latvian, Lithuanian and Polish responses to the events at the border and looks at how the relevant measures affect the non-EU nationals involved. Second, it engages with the migrant instrumentalisation paradigm, relied on by the governments to derogate from EU and international legal framework, and explores the EU-level response to the crisis. This study argues that EU’s border with Belarus has de facto become an exclusion zone where protection seekers are deprived of their right to claim asylum and continuously exposed to various types of inhuman and degrading treatment. It also demonstrates that the migrant instrumentalisation concept is problematic on multiple levels and does not correspond to the realities on the ground.

Stress in the social environment: behavioural and social consequences of stress transmission in bird flocks.

The stress response helps individuals cope with challenges, yet how individual stress levels shape group-level processes and the behaviour of other group members has rarely been explored. In social groups, stress responses can be buffered by others or transmitted to members that have not even experienced the stressor first-hand. Stress transmission, in particular, can have profound consequences for the dynamics of social groups and the fitness of individuals therein. We experimentally induced chronic stress within replicated colonies of zebra finches and used fine-scale tracking to observe the consequences of stress-exposed colony members for the behaviour and reproduction of non-manipulated colony members. Non-manipulated individuals in colonies containing stress-exposed individuals exhibited reduced activity, and fewer-but more differentiated-social bonds. These effects were stronger in colonies with a greater proportion of stress-treated individuals, demonstrating that the impact of stressors can reach beyond directly exposed individuals by also affecting their group mates. We found no evidence that socially transmitted stress affected reproduction or long-term physiological measurement in unmanipulated birds, even though the stress-exposed demonstrators laid slightly fewer eggs and showed stressor-dependent changes in feather corticosterone. Social transmission of these effects, if occurring at all, might be more subtle.

Noncontace Monitoring of Respiration and Heartbeat Based on Two-Wave Model Using a Millimeter-Wave MIMO FM-CW Radar

This paper deals with the non-contact measurement of heartbeat and respiration using a millimeter-wave multiple-input–multiple-output (MIMO) frequency-modulated continuous-wave (FM-CW) radar. Monitoring heartbeat and respiration is useful for detecting cardiac diseases and understanding stress levels. Contact sensors are not suitable for these sorts of long-term measurements due to the discomfort and skin irritation they cause. Therefore, the use of non-contact sensors, such as radars, is desirable. In this study, we obtained heartbeat and respiration information from phase data measured using a millimeter-wave MIMO FM-CW radar. We propose a two-wave model based on a Fourier series expansion and extract respiration and heartbeat information as a minimization problem. This model makes it possible to produce respiration and heartbeat waveforms. The produced heartbeat waveform can be used for estimating the interbeat interval (IBI). Experiments were conducted to confirm the usefulness of the proposed method. Moreover, the estimated results were compared with the contact sensor’s results. The results for both types of sensors were in good agreement.

Reliable yeast replicative lifespan determination with a single-channel microfluidic chip.

Saccharomyces cerevisiae is a powerful model for aging research due to its short lifespan and genetic malleability. Microfluidic devices offer an attractive approach enabling rapid monitoring of hundreds of cells during their entire replicative lifespan (RLS). Yet, key operational issues such as contaminations, cell loss, and cell aggregates-dependent flow obstruction can hinder RLS experiments. We report the development of a microfluidic device configuration that effectively prevents flow blockage. We conducted comprehensive performance characterization, evaluating trapping efficiency, cell retention, budding orientation, and cell aggregate formation. The optimized device successfully supported long-term culturing and reliable RLS measurements of budding yeast strains. For accurate lifespan determination, a detailed workflow is provided that includes device fabrication, live microscopy setup, and characterization of cell age distribution. This work describes an accessible and reliable microfluidic device for yeast RLS studies, promoting further exploration in aging research.

Evaluating long-term reductions in trace metal emissions from shipping in Shanghai

Shipping emissions are a major contributor to air pollution in coastal cities, and Shanghai Port, the busiest port in the world, handles over 40 million TEU annually. To mitigate shipping emissions, China introduced the Domestic Emission Control Area (DECA) policy in phases: DECA 1.0 in 2016 and DECA 2.0 in 2019. DECA 1.0 mandated low-sulfur fuels (0.5 %) at berth and near major ports, down from 1.5 %, and this requirement was extended to a 12-nautical-mile emission control zone in DECA 2.0. In this study, we conducted long-term online measurements of shipping emission tracer of vanadium (V) and nickel (Ni), at the Dian Shan Lake (DSL) supersite, located approximately 50 km from Shanghai waters. The observed V concentration exhibited a strong dependence on wind direction, with higher levels from spring to summer due to more frequent marine winds compared to other seasons. The long-term measurement showed a significant decrease in V concentrations, dropping from an annual mean of 7.08 ng m-³ during DECA 1.0 to 2.64 ng m-³ during DECA 2.0. The represents a year-on-year reduction of 63 % based on measurement. To remove the meteorological impact on the measured concentration, a Random Forest (RF) machine learning model and the Community Multiscale Air Quality (CMAQ 5.4) model were applied under a business-as-usual (BAU) scenario. Both models produced consistent results, showing a reduction of up to 82 % in V concentrations in April with more frequent marine winds, confirming regional air quality improvements post-DECA 2.0. Additionally, we found that Ni has other sources that require further control beyond shipping. The study highlights the importance of long-term measurements for understanding the impact of air quality policies on emission patterns.

Curriculum is the road to success in medical education

Medical education is complicated, with many interconnected components and processes. It involves a network of complex interconnected relationships that extend beyond the learner-teacher dyad. The curriculum is the foundation upon which all other elements are built and can be considered the road to success in medical education. Like a good road, a successful medical curriculum functions well with all the medical education components working together. The overall direction is clear to all, with short and long-term outcome measures demonstrating success.

Pediatric Allergy Management at ULSNE: Insights into Public Health Implications

Abstract Introduction Pediatric allergies present a complex challenge to public health systems, affecting both policy-making and clinical management. This study explores the management trends and challenges of pediatric allergies at the Unidade Local de Saúde do Nordeste (ULSNE) in Portugal, emphasizing its implications for refining healthcare practices over a seven-year period. Methods A retrospective review of medical records was performed, from children aged 0 to 18 who presented with allergic reactions at ULSNE’s emergency services between 2017 and 2023. The analysis concentrated on demographics, allergen types, reaction severity, and the management strategies deployed. Results The analysis revealed a wide range of allergens, from food to insect stings, with medication being the most prevalent triggers. Significant findings include observing severe allergic reactions across all age groups, highlighting the need for acute emergency interventions. The data underscores a critical demand for early diagnosis and tailored-made management plans to efficiently handle the diverse severity of allergic reactions observed. Conclusions This study demonstrates the complexity of managing pediatric allergies within ULSNE’s public health framework. Standardized, evidence-based management methods should be adopted to strengthen emergency response capabilities, as shown by the frequency of severe responses and the prevalence of various allergens. As an outcome, our results support a comprehensive, interdisciplinary strategy that includes medical personnel, educational institutions, and family involvement to create a supportive community that is supportive of both immediate care and long-term preventive measures. Subsequent efforts should give precedence to educational programs designed to increase consciousness and encourage preventive measures in community environments. Key messages • A rapid response is essential for healthcare systems to have fast, effective strategies ready for children’s severe allergic reactions. • Emphasizes a collective approach involving healthcare workers, schools, and families to prevent and manage children’s allergies, enhancing safety and awareness.

Impact of COVID-19 restrictions liberalization on air quality: a case study of Chongqing, Southwest China.

To mitigate the societal impact of the COVID-19 pandemic, China implemented long-term restrictive measures. The sudden liberalization at the end of 2022 disrupted residents' daily routines, making it scientifically intriguing to explore its effect on air quality. Taking Chongqing City in Southwest China as an example, we examined the impact of restriction liberalization on air quality, identified potential sources of pollutants, simulated the effects of abrupt anthropogenic control relaxation using a Random Forest Model, and applied an optimized model to predict the post-liberalization pollutant concentrations. The results showed increases in PM2.5 (72.3%), PM10 (67.7%), and NO2 (21.9%) concentrations, while O3 concentration decreased by 20.5%. Although potential pollution source areas contracted, pollution levels intensified with northeastern Sichuan, interior Chongqing, and northern Guizhou being major contributors to pollutant emissions. Anthropogenic emissions accounted for 26.7 ~ 33% changes in PM2.5 and PM10 concentrations while meteorological conditions contributed to 40.2 ~ 43.3% variations observed during the period. The optimized model demonstrated a correlation between predicted and observed values with R2 ranging from 0.70 to 0.89, enabling accurate prediction of post-liberalization pollutant concentrations. This study can enhance our understanding regarding the impact of sudden social lockdown relaxation events on air quality while providing support for urban air pollution prevention.

Eight year Follow-Up Data on a Leadless Pacing System Real life experience in comparison to data of the prospective trial

Abstract Introduction The Micra leadless intracardiac pacing system has been introduced and implemented into clinical routine in 2015, with its next generation MICRA AV in 2020. Feasibility, implantation safety, and acute success have been proven in the setting of controlled studies. Even apart from controlled studies, this new technology was beneficial for the individual patient. We aimed to report our single center follow-up (FU) data with a follow-up of up to six years. Methods In 292 patients (146 men; age: 81±5,7 y), Micra implantation was performed. Pacemaker interrogation was performed one to seven days after implantation and during FU (1; 3; 6, then every 6 month) up to 84 months. Data were assessed in a real-life setting and compared with existing data of a controlled prospective trial. Results The implantation was successful in all 292 attempts with only one pericardial effusion as major complication. During follow up there were two patients developing severe heart failure symptoms resulting in an implantation of a CRT-device and switching of the leadless pacemaker system. The average acute thresholds, sensing and impedance after system release were: 0.57±0.34V@0.24ms; 10,02±3,96mV and 752±1201Ohm. During follow up of up to 8 years neither, pacemaker failure, nor infections were reported. Measurements were reevaluated for long-term thresholds, sensing and impedance: 0.75 ± 0.38V @ 0.24 ms; 18,38 ±2,75 mV and 525 ± 102 Ohm. During eight years, no significant changes from acute to long-term measurements were detectable. In comparison to the controlled trial, our measurements of this real-life cohort were very similar. Conclusion In a real-life setting, the implantation of the leadless Micra system demonstrates a high rate of implantation success without major complications. We were also able to show stable long-term system parameters in the clinical setting of up to seven years of follow up with a very good battery longevity of about 12,3 years.

Label-free long-term measurements of adipocyte differentiation from patient-driven fibroblasts and quantitative analyses of in situ lipid droplet generation

The visualization and tracking of adipocytes and their lipid droplets (LDs) during differentiation are pivotal in developmental biology and regenerative medicine studies. Traditional staining or labeling methods, however, pose significant challenges due to their labor-intensive sample preparation, potential disruption of intrinsic cellular physiology, and limited observation timeframe. This study introduces a novel method for long-term visualization and quantification of biophysical parameters of LDs in unlabeled adipocytes, utilizing the refractive index (RI) distributions of LDs and cells. We employ low-coherence holotomography (HT) to systematically investigate and quantitatively analyze the 42-day redifferentiation process of fat cells into adipocytes. This technique yields three-dimensional, high-resolution refractive tomograms of adipocytes, enabling precise segmentation of LDs based on their elevated RI values. Subsequent automated analysis quantifies the mean concentration, volume, projected area, and dry mass of individual LDs, revealing a gradual increase corresponding with adipocyte maturation. Our findings demonstrate that HT is a potent tool for non-invasively monitoring live adipocyte differentiation and analyzing LD accumulation. This study, therefore, offers valuable insights into adipogenesis and lipid research, establishing HT and image-based analysis as a promising approach in these fields.