Targeting CCR3 with antagonist SB 328437 sensitizes 5‑fluorouracil‑resistant gastric cancer cells: Experimental evidence and computational insights

Gastric cancer (GC) ranks fifth globally in cancer diagnoses and third for cancer-related deaths. Chemotherapy with 5-fluorouracil (5-FU), a primary treatment, faces challenges due to the development of chemoresistance. Tumor microenvironment factors, including C-C motif chemokine receptor 3 (CCR3), can contribute to chemoresistance. The present study evaluated the effect of CCR3 receptor inhibition using the antagonist SB 328437 and the molecular dynamics of this interaction on resistance to 5-FU in gastric cancer cells. The 5-FU-resistant AGS cell line (AGS R-5FU) demonstrated notable tolerance to higher concentrations of 5-FU, with a 2.6-fold increase compared with the parental AGS cell line. Furthermore, the mRNA expression levels of thymidylate synthase (TS), a molecular marker for 5-FU resistance, were significantly elevated in AGS R-5FU cells. CCR3 was shown to be expressed at significantly higher levels in these resistant cells. Combining SB 328437 with 5-FU resulted in a significant decrease in cell viability, particularly at higher concentrations of 5-FU. Furthermore, when SB 328437 was combined with 5-FU at a high concentration, the relative mRNA expression levels of CCR3 and TS decreased significantly. Computational analysis of CCR3 demonstrated dynamic conformational changes, especially in extracellular loop 2 region, which indicated potential alterations in ligand recognition. Docking simulations demonstrated that SB 328437 bound to the allosteric site of CCR3, inducing a conformational change in ECL2 and hindering ligand recognition. The present study provides comprehensive information on the molecular and structural aspects of 5-FU resistance and CCR3 modulation, highlighting the potential for therapeutic application of SB 328437 in GC treatment.

Modified Needleman-Wunsch algorithm for trauma management performance evaluation

BACKGROUND

Trauma injuries are one of the leading causes of death in the world, representing approximately 8 % of all deaths. Therefore, trauma management training is of great importance and new training courses have arisen during the last decades. However, actual training courses do not typically analyze compliance with the protocols and guidelines available in the literature. Considering general trauma management guidelines such as the Advanced Trauma Life Support (ATLS) manual and the expertise of trauma specialists, a trauma management automated evaluation system has been designed in this paper.

METHODS

A modification to the Needleman-Wunsch (NW) algorithm is developed, including all relevant aspects of trauma management to automatically evaluate how a trauma intervention has been implemented according to trauma protocols. This allows to consider more information with respect to the order of the actions taken and the type of actions performed than current evaluation methods, such as checklists or videos recorded in simulation. A web-based trauma simulator is used so that it can be used at any setting with internet connection. Final-year medical students and first- and second-year residents performed an experimental test, where a trauma score is obtained with the modified NW algorithm. This automatic score relates to how similar the actions are to trauma protocols.

RESULTS

The results show the best combination of the scores used for the modified NW variables. This combination has an error, for the different case scenarios created, below 0.07 which verifies the values obtained. Additionally, trauma experts verified the results obtained showing a median difference of 0 between the protocol adherence evaluation using the algorithm and the one provided by the trauma experts.

CONCLUSIONS

The best set of score values to apply to the modified NW algorithm show that the modified NW algorithm provides a successful objective measurement with respect to the protocol compliance.

Design and Development of an Objective Evaluation System for a Web-Based Simulator for Trauma Management

BACKGROUND

Trauma injuries are one of the main leading causes of death in the world. Training with guidelines and protocols is adequate to provide a fast and efficient treatment to patients that suffer a trauma injury.

OBJECTIVES

This study aimed to evaluate deviations from a set protocol, a new set of metrics has been proposed and tested in a pilot study.

METHODS

The participants were final-year students from the Universidad Autónoma de Madrid and first-year medical residents from the Hospital Universitario La Paz. They were asked to train four trauma scenarios with a web-based simulator for 2 weeks. A test was performed pre-training and another one post-training to evaluate the evolution of the treatment to those four trauma scenarios considering a predefined trauma protocol and based on the new set of metrics. The scenarios were pelvic and lower limb traumas in a hospital and in a prehospital setting, which allow them to learn and assess different trauma protocols.

RESULTS

The results show that, in general, there is an improvement of the new metrics after training with the simulator.

CONCLUSION

These new metrics provide comprehensive information for both trainers and trainees. For trainers, the evaluation of the simulation is automated and contains all relevant information to assess the performance of the trainee. And for trainees, it provides valuable real-time information that could support the trauma management learning process.

The real bacterial filtration efficiency to evaluate the effective protection of facemasks used for the prevention of respiratory diseases

The real protection offered by facemasks to control the transmission of respiratory viruses is still undetermined. Most of the manufacturing regulations, as well as scientific studies, have focused on studying the filtration capacity of the fabrics from which they are made, ignoring the air that escapes through the facial misalignments, and which depends on the respiratory frequencies and volumes. The objective of this work was to define a Real Bacterial Filtration Efficiency for each type of facemask, considering the bacterial filtration efficiency of the manufacturers and the air that passes through them. Nine different facemasks were tested on a mannequin with three gas analyzers (measuring inlet, outlet, and leak volumes) inside a polymethylmethacrylate box. In addition, the differential pressure was measured to determine the resistance offered by the facemasks during the inhalation and exhalation processes. Air was introduced with a manual syringe for 180 s simulating inhalations and exhalations at rest, light, moderate and vigorous activities (10, 60, 80 and 120 L/min, respectively). Statistical analysis showed that practically half of the air entering to the system is not filtered by the facemasks in all intensities (p < 0.001, ηp² = 0.971). They also showed that the hygienic facemasks filter more than 70% of the air, and their filtration does not depend on the simulated intensity, while the rest of the facemasks show an evidently different response, influenced by the amount of air mobilized. Therefore, the Real Bacterial Filtration Efficiency can be calculated as a modulation of the Bacterial Filtration Efficiencies that depends on the type of facemask. The real filtration capacity of the facemasks has been overestimated during last years since the filtration of the fabrics is not the real filtration when the facemask is worn.

Abstract 2845: PpIX synthesis increases PDT resistant cells due to the modulating effect of EGCG on the heme synthesis pathway

Introduction: Photodynamic therapy (PDT) is a treatment for non melanoma skin cancer. PDT kills cells through reactive oxygen species (ROS), produced by interaction between cellular O2 and an excited photosensitizer (PS) by a specific light. One of the most used PS in dermatology is Protoporphyrin IX (PpIX) and its precursor methyl aminolevulinate (MAL). MAL enters into cells and is converted to PpIX by enzymes of the heme group synthesis pathway. The insertion of ferrous iron into PpIX forms a heme molecule, which has no PS action. A previous study shows that efficacy of PDT, in resistant cells, can be improved by addition of epigallocatechin gallate (EGCG), a green tea polyphenol. Therefore, the aim of this work is to evaluate the rol of EGCG on PPIX synthesis.

Material and methods: It was used a A-431 cell line from skin squamous cell carcinoma. The EC50 of EGCG was determined by MTT assay after 24 hours. Clonogenic assay was carried out using EGCG 10, 20 and 40 μM, for 4 and 24 hours of incubation. To evaluate PpIX and ROS, A-431 cells were exposed to EGCG (10, 20, 40 μM) with or without MAL 2 mM. After 4 hours, some plates were irradiated with red light to generate ROS. PpIX and ROS were detected by flow cytometry. Gene expression of enzymes of heme synthesis was analyzed by RT-qPCR. Intracellular iron was measured using a commercial kit. 

Results: EC50 determined a concentration of 50 μM of EGCG at 24 hours. EGCG concentrations from 10 μM reduced cell clonogenic capacity, even with only 4 hours of incubation. A-431 cells show PDT resistance with MAL 2 mM and a fluence of 4 J/cm2. The addition of EGCG to MAL-PDT showed a decrement of cell viability with an increase of PpIX and ROS. Besides, incubation with EGCG for 4 hours, triggered an increment of HMBS enzyme and decrease of FECH. In addition, EGCG reduced intracellular iron concentrations.

Conclusion: These findings show that EGCG has a PDT enhancing effect, decreasing intracellular iron levels and modulating gene expression of heme synthesis enzymes, which are directly related with high levels of PpIX production and ROS levels, causing the death of resistant cells.Acknowledgements: Postdoctoral FONDECYT Nº 3210618, IDeA I+D FONDEF ID21I10027

Citation Format: Daniela León, Álvaro Gutiérrez, Helga Weber, Ramón Silva, María Elena Reyes, Tamara Viscarra, Kurt Buchegger, Carmen Ili, Priscilla Brebi. PpIX synthesis increases PDT resistant cells due to the modulating effect of EGCG on the heme synthesis pathway [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2845.

Classification of Kinematic and Electromyographic Signals Associated with Pathological Tremor Using Machine and Deep Learning

Peripheral Electrical Stimulation (PES) of afferent pathways has received increased interest as a solution to reduce pathological tremors with minimal side effects. Closed-loop PES systems might present some advantages in reducing tremors, but further developments are required in order to reliably detect pathological tremors to accurately enable the stimulation only if a tremor is present. This study explores different machine learning (K-Nearest Neighbors, Random Forest and Support Vector Machines) and deep learning (Long Short-Term Memory neural networks) models in order to provide a binary (Tremor; No Tremor) classification of kinematic (angle displacement) and electromyography (EMG) signals recorded from patients diagnosed with essential tremors and healthy subjects. Three types of signal sequences without any feature extraction were used as inputs for the classifiers: kinematics (wrist flexion-extension angle), raw EMG and EMG envelopes from wrist flexor and extensor muscles. All the models showed high classification scores (Tremor vs. No Tremor) for the different input data modalities, ranging from 0.8 to 0.99 for the f₁ score. The LSTM models achieved 0.98 f₁ scores for the classification of raw EMG signals, showing high potential to detect tremors without any processed features or preliminary information. These models may be explored in real-time closed-loop PES strategies to detect tremors and enable stimulation with minimal signal processing steps.

Neurodata Tracker: Software for computational assessment of hand motor skills based on optical motion capture in a virtual environment

Objectives

Deficits affecting hand motor skills negatively impact the quality of life of patients. The NeuroData Tracker platform has been developed for the objective and precise evaluation of hand motor deficits. We describe the design and development of the platform and analyse the technological feasibility and usability in a relevant clinical setting.

Methods

A software application was developed in Unity (C#) to obtain kinematic data from hand movement tracking by a portable device with two cameras and three infrared sensors (leap motion®). Four exercises were implemented: (a) wrist flexion-extension (b) finger-grip opening-closing (c) finger spread (d) fist opening-closing. The most representative kinematic parameters were selected for each exercise. A script in Python was integrated in the platform to transform real-time kinematic data into relevant information for the clinician. The application was tested in a pilot study comparing the data provided by the tool from ten healthy subjects without any motor impairment and ten patients diagnosed with a stroke with mild to moderate hand motor deficit.

Results

The NeuroData Tracker allowed the parameterization of kinematics of hand movement and the issuance of a report with the results. The comparison of the data obtained suggests the feasibility of the tool for detecting differences between patients and healthy subjects.

Conclusions

This new platform based on optical motion capturing provides objective measurement of hand movement allowing quantification of motor deficits. These findings require further validation of the tool in larger trials to verify its usefulness in the clinical setting.

Simulation-Based Education in Trauma Management: A Scoping Review

Trauma injuries are an important healthcare problem and one of the main leading causes of death worldwide. The purpose of this review was to analyze current practices in teaching trauma management using simulations, with the aim of summarizing them, identifying gaps and providing a critical overview on what has already been achieved. A search on the Web of Science website for simulation-based trauma training articles published from 2010 onwards was performed, obtaining 1617 publications. These publications were screened to 35 articles, which were deeply analyzed, gathering the following information: the authors, the publication type, the year of the publication, the total number of citations, the population of the training, the simulation method used, the skills trained, the evaluation type used for the simulation method presented in the paper, if skills improved after the training and the context in which the simulation took place. Of the 35 articles included in this review, only a few of them had students as the target audience. The more used simulation method was a high-fidelity mannequin, in which the participants trained in more technical than non-technical skills. Almost none of the studies introduced an automated evaluation process and most of the evaluation methods consisted of checklists or questionnaires. Finally, trauma training focused more on treating trauma patients in a hospital environment than in a pre-hospital one. Overall, improvements in the evaluation method, as well as in the development of trauma training on undergraduate education, are important areas for further development.

The Need for Trauma Management Training and Evaluation on a Prehospital Setting

Trauma is one of the leading causes of death in the world, being the main cause of death in people under 45 years old. The epidemiology of these deaths shows an important peak during the first hour after a traumatic event. Therefore, learning how to manage traumatic injuries in a prehospital setting is of great importance. Medical students from Universidad Autónoma performed 66 different simulations to stabilize a trauma patient on a prehospital scene by using a web-based trauma simulator. Then, a panel of trauma experts evaluated the simulations performed, observing that, on average, an important number of simulations were scored below 5, being the score values provided from 0, minimum, to 10, maximum. Therefore, the first need detected is the need to further train prehospital trauma management in undergraduate education. Additionally, a deeper analysis of the scores provided by the experts was performed. It showed a great dispersion in the scores provided by the different trauma experts per simulation. Therefore, a second need is identified, the need to develop a system to objectively evaluate trauma management.

A Systematic Methodology to Analyze the Impact of Hand-Rim Wheelchair Propulsion on the Upper Limb

Manual wheelchair propulsion results in physical demand of the upper limb extremities that, because of its repetitive nature, can lead to chronic pathologies on spinal cord injury patients. The aim of this study was to design and test a methodology to compare kinematic and kinetic variables of the upper limb joints when propelling different wheelchairs. Moreover, this methodology was used to analyze the differences that may exist between paraplegic and tetraplegic patients when propelling two different wheelchairs. Five adults with paraplegia and five adults with tetraplegia performed several propulsion tests. Participants propelled two different wheelchairs for three minutes at 0.833 m/s (3 km/h) with one minute break between the tests. Kinematic and kinetic variables of the upper limb as well as variables with respect to the propulsion style were recorded. Important differences in the kinetic and kinematic variables of the joints of the upper limb were found when comparing paraplegic and tetraplegic patients. Nevertheless, this difference depends on the wheelchair used. As expected, in all tests, the shoulder shows to be the most impacted joint.

Mediterranean diet, diet quality, and bone mineral content in adolescents: the HELENA study

Dietary scores, rather than individual nutrients, allow exploring associations between overall diet and bone health. The aim of the present study was to assess the associations between the Mediterranean Diet Score for Adolescents (MDS-A) and the Diet Quality Index for Adolescents (DQI-A) and bone mineral content (BMC) among Spanish adolescents. Our results do not support an association between dietary scores or indices and BMC in adolescents.

INTRODUCTION

To assess the associations between the MDS-A and a DQI-A with the BMC measured with dual-energy X-ray absorptiometry.

METHODS

The MDS-A and the DQI-A were calculated in 179 Spanish adolescents, based on two 24-h dietary recalls from the HELENA cross-sectional study. The associations between the diet scores and the BMC outcomes [total body less head (TBLH), femoral neck (FN), lumbar spine (LS), and hip] were analyzed using logistic regression models adjusting for several confounders.

RESULTS

Four hundred ninety-two models were included and only fruits and nuts and cereal and roots were found to provide significant ORs with regard to BMC. The risk of having low BMC reduced by 32% (OR 0.684; CI 0.473-0.988) for FN when following the ideal MDS-A, but this association lost significance when adjusting for lean mass and physical activity. For every 1-point increase in the cereal and root and the fruit and nut components, the risk of having low FN diminished by 56% (OR 0.442; CI 0.216-0.901) and by 67% (OR 0.332; CI 0.146-0.755), respectively.

CONCLUSION

An overall dietary score or index is not associated with BMC in our adolescent Spanish sample.

Correlates of ideal cardiovascular health in European adolescents: The HELENA study

BACKGROUND AND AIMS

The ideal cardiovascular health (iCVH) construct consists of 4 health behaviors (smoking status, body mass index, physical activity and diet) and 3 health factors (total cholesterol, blood pressure and fasting glucose). A greater number of iCVH components in adolescence are related to better cardiovascular health, but little is known about the correlates of iCVH in adolescents. Thus, the aim of the study was to examine correlates of iCVH in European adolescents.

METHODS AND RESULTS

The study comprised 637 European adolescents with complete iCVH data. Participants were part of the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study, a cross-sectional, multicenter study conducted in 9 different European countries. Correlates investigated were sex and age, family affluence scale, maternal education, geographic location, sleep time, television viewing, duration of pregnancy, birth weight and breastfeeding. Younger adolescents, those whose mothers had medium/high education or those who watched television less than 2 h per day had a greater number of iCVH components compared to those who were older, had a mother with low education or watched television 2 h or more daily (P ≤ 0.01).

CONCLUSION

Since in our study older adolescents had worse iCVH than younger adolescents, early promotion of cardiovascular health may be important. Future studies may also investigate the usefulness of limiting television viewing to promote iCVH. Finally, since adolescents of mothers with low education had poorer iCVH, it may be of special interest to tailor public health promotion to adolescents from families with low socioeconomic status.

Variable threshold algorithm for division of labor analyzed as a dynamical system

Division of labor is a widely studied aspect of colony behavior of social insects. Division of labor models indicate how individuals distribute themselves in order to perform different tasks simultaneously. However, models that study division of labor from a dynamical system point of view cannot be found in the literature. In this paper, we define a division of labor model as a discrete-time dynamical system, in order to study the equilibrium points and their properties related to convergence and stability. By making use of this analytical model, an adaptive algorithm based on division of labor can be designed to satisfy dynamic criteria. In this way, we have designed and tested an algorithm that varies the response thresholds in order to modify the dynamic behavior of the system. This behavior modification allows the system to adapt to specific environmental and collective situations, making the algorithm a good candidate for distributed control applications. The variable threshold algorithm is based on specialization mechanisms. It is able to achieve an asymptotically stable behavior of the system in different environments and independently of the number of individuals. The algorithm has been successfully tested under several initial conditions and number of individuals.

Trace elements and toxic metals in intensively produced tomatoes (lycopersicon esculentum)

INTRODUCTION

Tomato is considered a healthy food due to its high content in lycopene and other health-promoting natural compounds. Tomatoes have, undoubtedly, assumed the status of a food with functional properties, considering the epidemiological evidence of reducing the risk of certain types of cancers.

OBJECTIVE

Samples of tomatoes from Morocco were analyzed for the mineral composition.

METHODS

94 tomato samples from Morocco were analyzed. Flame Atomic Absorption Spectrophotometry (FAAS) was used to determine essential elements (Copper (Cu), iron (Fe), manganese (Mn) and zinc (Zn)) and Atomic Absorption Spectrophotometry with Graphite Furnace (GAAS) was used to analyzed cadmium (Cd) and lead (Pb).

RESULTS

The mean concentrations were 0.17 mg/kg, 0.73 mg/kg, 0.20 mg/kg, 0.44 mg/kg, 7.58 μg/kg and 15.8 μg/kg for Cu, Fe, Mn, Zn, Cd and Pb, respectively. The highest contribution to the intakes was observed for Cu (0.67% for adults) while that Zn showed the lowest contribution (0.14% for adult males and 0.20% for adult females).

CONCLUSIONS

Tomatoes are a good source of essential elements for the diet, mainly iron and zinc. Tomatoes consumption does not significantly affect the intake of heavy metals.

Clinical characteristics of the patients with systemic amyloidosis in 2000-2010

BACKGROUND

The epidemiology of systemic amyloidosis has been changing in the last decades. We aim to describe the clinical characteristics of the patients seen at our institution with systemic amyloidosis in 2000-2010 and compare them with previous Spanish series.

PATIENTS AND METHODS

An observational, retrospective study was performed on all patients admitted to a tertiary hospital in Madrid, Spain who had been diagnosed of amyloidosis from January 2000 to December 2010. Patients without a proven diagnosis of amyloidosis, with dialysis-associated, senile, or localized forms of amyloidosis were excluded from the study. A systematic review was made of the clinical records, collecting the demographic, clinical and biochemical variables at diagnosis and patients' outcome.

RESULTS

A total of 55 patients were studied, 24 (44%) of whom had AL amyloidosis, 30 (56%) AA amyloidosis, and 1 a familiar form. The most frequent underlying disorders were rheumatoid arthritis (9 patients, 30%) and ankylosing spondylitis (4 cases, 13%). The kidneys were the most frequently involved organ (36 patients, 67%) with nephrotic-range proteinuria at diagnosis (3.4 ± 3.7 g/24 h). Median time to diagnosis was 3 months (interquartile range [IQR]: 1-17). Median follow-up time was 24 months (IQR: 10-91). During follow-up 31 patients died; 18 of those deaths were related to amyloidosis.

CONCLUSIONS

Renal dysfunction dominates the course of systemic amyloidosis, which does not seem to have changed in the last decades. We have observed an important delay in the diagnosis of these processes. Therefore, it is necessary to maintain a high degree of clinical suspicion regarding these conditions.

Improving social odometry robot networks with distributed reputation systems for collaborative purposes

The improvement of odometry systems in collaborative robotics remains an important challenge for several applications. Social odometry is a social technique which confers the robots the possibility to learn from the others. This paper analyzes social odometry and proposes and follows a methodology to improve its behavior based on cooperative reputation systems. We also provide a reference implementation that allows us to compare the performance of the proposed solution in highly dynamic environments with the performance of standard social odometry techniques. Simulation results quantitatively show the benefits of this collaborative approach that allows us to achieve better performances than social odometry.

Social Odometry: Imitation Based Odometry in Collective Robotics

The improvement of odometry systems in collective robotics remains an important challenge for several applications. Social odometry is an online social dynamics which confers the robots the possibility to learn from the others. Robots neither share any movement constraint nor access to centralized information. Each robot has an estimate of its own location and an associated confidence level that decreases with distance traveled. Social odometry guides a robot to its goal by imitating estimated locations, confidence levels and actual locations of its neighbors. This simple online social form of odometry is shown to produce a self-organized collective pattern which allows a group of robots to both increase the quality of individuals' estimates and efficiently improve their collective performance.

Evolution of Neuro-Controllers for Robots' Alignment using Local Communication

In this paper, we use artificial evolution to design homogeneous neural network controller for groups of robots required to align. Aligning refers to the process by which the robots managed to head towards a common arbitrary and autonomously chosen direction starting from initial randomly chosen orientations. The cooperative interactions among robots require local communications that are physically implemented using infrared signalling. We study the performance of the evolved controllers, both in simulation and in reality for different group sizes. In addition, we analyze the most successful communication strategy developed using artificial evolution.