Pertinent Field Research Articles

Thermodynamically Consistent Evolution Equations in Continuum Mechanics

This paper addresses the modelling of material behaviour in terms of differential (or rate) equations. To comply with the objectivity principle, recourse is made to invariant fields in the Lagrangian description or to objective time derivatives in the Eulerian description. The thermodynamic consistency is investigated in terms of the Clausius–Duhem inequality with two unusual features. Firstly, the (non-negative) entropy production is viewed as a constitutive function per se. Secondly, the inequality is viewed as a constraint on the pertinent fields and it is solved by using a representation formula, which allows for the the admissibility of a class of models. For definiteness, models of heat conduction are established, within Lagrangian descriptions, while models of the Navier–Stokes–Voigt fluid are investigated within Eulerian descriptions. In connection with thermo-viscous fluids, evolution equations are investigated within the Eulerian description. It is shown that the thermodynamic consistency is compatible with both objective and non-objective evolution equations.

Pyrolysis kinetics and flame retardant enhancement of bio-based polyamide 56/6

The development of polyamide materials with fire safety is of great importance at this stage. A novel nitrogen-phosphorus bisystem flame retardant (MC) with a multi-branched structure was synthesized and applied to a new bio-based polyamide 56/6 (PA56/6). Notably, at 8 wt% MC content, flame-retardant PA56/6@MC8% (FRPA56/6@MC8%) achieved an Limiting Oxygen Index (LOI) of 26.6% and a V-0 rating in UL-94 tests. Cone calorimetry results indicated that FRPA56/6@MC8% exhibited a 22.9% reduction in total heat release (THR) and a 41.0% decrease in peak heat release rate (PHRR), underscoring the flame retardancy promotion by MC in PA56/6. The study further explored the pyrolysis kinetics and mechanisms of polyamide materials, offering insights crucial for flame-retardant modifications. Overall, the findings present an innovative strategy for enhancing the flame retardant properties of PA56/6, potentially applicable in automotive components and other pertinent fields.

An integrated micromachined flexible ultrasonic-inductive sensor for pipe contaminant multiparameter detection

Pipe contaminant detection holds considerable importance within various industries, such as the aviation, maritime, medicine, and other pertinent fields. This capability is beneficial for forecasting equipment potential failures, ascertaining operational situations, timely maintenance, and lifespan prediction. However, the majority of existing methods operate offline, and the detectable parameters online are relatively singular. This constraint hampers real-time on-site detection and comprehensive assessments of equipment status. To address these challenges, this paper proposes a sensing method that integrates an ultrasonic unit and an electromagnetic inductive unit for the real-time detection of diverse contaminants and flow rates within a pipeline. The ultrasonic unit comprises a flexible transducer patch fabricated through micromachining technology, which can not only make installation easier but also focus the sound field. Moreover, the sensing unit incorporates three symmetrical solenoid coils. Through a comprehensive analysis of ultrasonic and induction signals, the proposed method can be used to effectively discriminate magnetic metal particles (e.g., iron), nonmagnetic metal particles (e.g., copper), nonmetallic particles (e.g., ceramics), and bubbles. This inclusive categorization encompasses nearly all types of contaminants that may be present in a pipeline. Furthermore, the fluid velocity can be determined through the ultrasonic Doppler frequency shift. The efficacy of the proposed detection principle has been validated by mathematical models and finite element simulations. Various contaminants with diverse velocities were systematically tested within a 14 mm diameter pipe. The experimental results demonstrate that the proposed sensor can effectively detect contaminants within the 0.5−3 mm range, accurately distinguish contaminant types, and measure flow velocity.

Numerical simulation of Darcy–Forchheimer flow of Casson ternary hybrid nanofluid with melting phenomena and local thermal non-equilibrium effects

The Casson fluid flow over a stretching sheet is studied in this work in the presence of porous media with melting heat transfer and chemical reaction, combining nanoparticles of Ti4Al6V,AA7072 and AA7075 with a base fluid of sodium alginate (NaAlg). The porous medium Darcy Forchheimer effect is included in the momentum equation. Through the effects of melting, the process of heat transfer is described. In order to explore the features of heat transmission in the absenteeism of LTECs (local thermal equilibrium conditions), the current study employs a mathematical model that has been simplified. For both the solid and liquid phases, the LTNE model yields two different fundamental thermal gradients. This proposed model compares the YOM (Yamada-Ota model) and XM (Xue model), two well-known trihybrid nanofluid models, in terms of performance. After applying the proper transformations, modulated non-linear PDEs (partial differential equations) are simplified in ODEs (ordinary differential equations) and the bvp4c method is used to solve them numerically. A graphic discussion of the relevant factors' significance on the pertinent fields has been presented. It is observed that the Casson ternary hybrid nanofluid temperature and velocity distributions predominate at higher melting parameter. The solid phase's heat transport rate rises with an upsurge in the interphase heat transfer parameter.

Quantum simulation of dissipation for Maxwell equations in dispersive media

The dissipative character of an electromagnetic medium breaks the unitary evolution structure that is present in lossless, dispersive optical media. In dispersive media, dissipation appears in the Schrödinger representation of classical Maxwell equations as a sparse diagonal operator occupying an r-dimensional subspace. A first order Suzuki-Trotter approximation for the evolution operator enables us to isolate the non-unitary operators (associated with dissipation) from the unitary operators (associated with lossless media). The unitary operators can be implemented through qubit lattice algorithm (QLA) on n qubits, based on the discretization and the dimensionality of the pertinent fields. However, the non-unitary-dissipative part poses a challenge both physically and computationally on how it should be implemented on a quantum computer. In this paper, two probabilistic dilation algorithms are considered for handling the dissipative operators. The first algorithm is based on treating the classical dissipation as a linear amplitude damping-type completely positive trace preserving (CPTP) quantum channel where an unspecified environment interacts with the system of interest and produces the non-unitary evolution. Therefore, the combined system-environment is now closed, and must undergo unitary evolution in the dilated space. The unspecified environment can be modeled by just one ancillary qubit, resulting in an implementation scaling of O(2n−1n2) elementary gates for the total system-environment unitary evolution operator. The second algorithm approximates the non-unitary operators by the Linear Combination of Unitaries (LCU). On exploiting the diagonal structure of the dissipation, we obtain an optimized representation of the non-unitary part, which requires O(2n) elementary gates. Applying the LCU method for a simple dielectric medium with homogeneous dissipation rate, the implementation scaling can be further reduced into O[poly(n)] basic gates. For the particular case of weak dissipation we show that our proposed post-selective dilation algorithms can efficiently delve into the transient evolution dynamics of dissipative systems by calculating the respective implementation circuit depth. A connection of our results with the non-linear-in-normalization-only (NINO) quantum channels is also presented.

On the Remarkable Advancement of Assistive Robotics in Human-Robot Interaction-Based Health-Care Applications: An Exploratory Overview of the Literature

With the rapid advancement of technology, assistive robotic entities have arisen as indispensable instruments within diverse Human-Robot Interaction (HRI)-based health-care applications. By integrating Artificial Intelligence (AI) into these assistive robotic entities, they gain the capacity to autonomously perceive, engage in sophisticated reasoning, and execute actions within highly dynamic and complex environments. In light of these impressive achievements, this paper highlights a three-stage exploratory overview of the literature on the remarkable advancement of assistive robotics in HRI-based health-care applications. The first stage initiates an assessment of assistive robotics spanning historical epochs from ancient to modern times. Following this, the second stage comprehensively explores assistive robotics investigations in the realm of HRI-based health-care with its four sub-fields including rehabilitation, geriatric-care, pediatric-care, and nursing. Finally, the third stage entails a thorough analysis of the common challenges encountered in these pertinent investigations and provides a set of recommendations. This comprehensive paper not only provides an abundance of studies for each concept, method, and application in HRI, but it also presents their theoretical foundations, strengths, gaps, critical challenges, and recommendations. The results of the conducted exploratory overview shed light on the noteworthy prominence of assistive robotic entities within the HRI-based health-care field. The acquired findings emphasize the positive impact of such entities on human health, affirming their pivotal role in contributing to the advancement and effectiveness of health-care interventions. Furthermore, this paper provides an opportunity for scholars and researchers actively engaged in the pertinent field to obtain comprehensive additional insights, serving as a guiding resource for their academic endeavors.

The droplet race: Optimization of a wettability gradient surface

Droplet behavior influenced by wettability distribution is a pertinent field of research with applications in lab-on-a-chip and heat transfer devices among others. Some have proposed patterned surfaces with controlled variation of wettability to orient the direction of the droplet motion or to increase its velocity. These patterns are arrived upon with experience and knowledge of this phenomenon. In this research paper, the authors used a mathematical approach to the physical problem by using a gradient based optimizer for maximizing droplet velocity. Given some initial conditions, the optimizer marches toward the optimum wettability distribution profile. The droplet motion is modeled in two dimensions (i.e., on the xy-plane), on a plate having a wettability distribution in one dimension (i.e., along the x axis). The single component pseudopotential model allows for the quantification of the wettability distribution as a distribution of a pseudodensity of the solid nodes of the flat plate. Starting with several monotonous analytical profiles, a quadratic convex profile allows us to reach the maximum mean velocity for the threshold droplet displacement. Different sets of initial profiles, length of the plate (L), and diameter of the droplet (D) are tested. For smaller L/D ratio, the optimal wettability distributions exhibit non-trivial features: profiles can be non-monotonous, and wettability gradient could be locally null. With the increase in the L/D ratio, these specificities tend to be less prominent and optimal profiles converge to the quadratic convex one. The main innovation and significance of the paper is that mathematical optimization algorithms have been used conjointly with a multiphase lattice Boltzmann model solver to address for the first time the droplet race defined as: “what is the best wettability profile in order for a droplet to reach a desired location as quickly as possible?”

Manufacturing Cell and Gene Therapies: Challenges in Clinical Translation.

The safety and efficacy of both cell and gene therapies have been demonstrated in numerous preclinical and clinical trials. Chimeric antigen receptor T (CAR-T) cell therapy, which leverages the technologies of both cell and gene therapies, has also shown great promise for treating various cancers. Advancements in pertinent fields have also highlighted challenges faced while manufacturing cell and gene therapy products. Potential problems and obstacles must be addressed to ease the clinical translation of individual therapies. Literature reviews of representative cell-based, gene-based, and cell-based gene therapies with regard to their general manufacturing processes, the challenges faced during manufacturing, and QC specifications are limited. We review the general manufacturing processes of cell and gene therapies, including those involving mesenchymal stem cells, viral vectors, and CAR-T cells. The complexities associated with the manufacturing processes and subsequent QC/validation processes may present challenges that could impede the clinical progression of the products. This article addresses these potential challenges. Further, we discuss the use of the manufacturing model and its impact on cell and gene therapy.

Limit theorems for local polynomial estimation of regression for functional dependent data

<p>Local polynomial fitting exhibits numerous compelling statistical properties, particularly within the intricate realm of multivariate analysis. However, as functional data analysis gains prominence as a dynamic and pertinent field in data science, the exigency arises for the formulation of a specialized theory tailored to local polynomial fitting. We explored the intricate task of estimating the regression function operator and its partial derivatives for stationary mixing random processes, denoted as $ (Y_i, X_i) $, using local higher-order polynomial fitting. Our key contributions include establishing the joint asymptotic normality of the estimates for both the regression function and its partial derivatives, specifically in the context of strongly mixing processes. Additionally, we provide explicit expressions for the bias and the variance-covariance matrix of the asymptotic distribution. Demonstrating uniform strong consistency over compact subsets, along with delineating the rates of convergence, we substantiated these results for both the regression function and its partial derivatives. Importantly, these findings rooted in reasonably broad conditions that underpinned the underlying models. To demonstrate practical applicability, we leveraged our results to compute pointwise confidence regions. Finally, we extended our ideas to the nonparametric conditional distribution, and obtained its limiting distribution.</p>

Resource recovery from palm kernel shell and its application for wastewater treatment: a circular economy approach

In this study, cationic Methylene Blue (MB) dye removal was investigated through a batch adsorption process using a ternary adsorbent developed from palm oil biomass, graphene oxide, and iron oxide (M-PKSGO). Box-Behnken Design (BBD) was applied for modelling and analyzing the effects of independent operational parameters including pH of initial MB dye solution, M-PKSGO dosage and adsorption time on dye removal and adsorption capacity. The experimental results show an adsorption capacity of 82.7 mg/g was achieved using 1 g/L of M-PKSGO with 135 min at pH 11. Hence, the M-PKSGO composite is proven as an effective adsorbent for cationic dye removal from wastewater. The utilization of biomass from the palm oil industries promotes a circular economy via resource recovery activities. Overall, this work brings to light the opportunities created by green adsorbents in promoting a circular economy and stimulates further research and development in this highly pertinent field.

Pathogenesis of Depression in Alzheimer's Disease.

Depression is a prevalent occurrence among Alzheimer's disease (AD) patients, yet its underlying mechanism remains unclear. Recent investigations have revealed that several pathophysiological changes associated with Alzheimer's disease can lead to mood disorders. These alterations include irregularities in monoamine neurotransmitters, disruptions in glutamatergic synaptic transmission, neuro-inflammation, dysfunction within the hypothalamic-pituitary-adrenocortical (HPA) axis, diminished levels of brain-derived neurotrophic factor (BDNF), and hippocampal atrophy. This review consolidates research findings from pertinent fields to elucidate the mechanisms underlying depression in Alzheimer's disease, aiming to provide valuable insights for the study of its mechanisms and clinical treatment.

Cross‐sectoral metrics as accountability tools for twin transitioning energy systems

AbstractAs energy systems become ever more closely intertwined in order to enable electrification and real‐time coordination across sectors, tracking the nature of change to ensure accountability during complex implementation processes presents novel challenges and requires renewed thinking on data infrastructures. For instance, sectors like electricity generation, electricity distribution and electrified urban transport have begun to interact more closely and with more spatial complexity than ever before. Correspondingly, this conceptual article articulates the evolving relationship between cross‐sectoral metrics (CSM) and twin transitions (i.e., digitalisation and decarbonisation) of energy systems in the Anthropocene. It argues for development of explicitly cross‐sectoral metrical analysis as an accountability tool for shifts to equitable, low‐carbon energy systems. It draws on three pertinent fields of study—calculative logics, institutionalisation, and degrees of digitalisation—to provide the basis for a theory of transformative metrics for application to evolving energy systems. Scholarship on calculative logics offers insights on the nature of metrics, work on institutionalisation helps understand the dynamics of integrating novel metrics into evolving sociotechnical systems, and consideration of degrees of digitalisation ensures mindfulness of differences across contexts. Resulting insights can serve as diagnostic tools to inform timely monitoring and implementation of twin transitions for energy systems. Work across three distinct lines of scholarship is specified to enable conceptual development, and an empirical case study is sketched to show how to operationalise and apply an analytical framework. This delineation serves as a step towards a theory of transformative metrics, for integrative study of CSM for accountable twin transitions.

A Review of Evaluative Measures of Carbon-Neutral Buildings: The Bibliometric and Science Mapping Analysis towards Sustainability

This study aims to comprehensively depict a thematic evaluation within the context of carbon-neutral buildings over this century at variable time phases (2000–2008, 2009–2016, and 2017–2023). The overarching objectives of this study are delineated into three (3) contexts. Firstly, a bibliometric network encompassing influential research documents, authors, prominent journals, organisations, and countries is erected in pertinent fields. Secondly, significant terms are extracted from the scientific literature to exhibit co-occurrence patterns. Finally, an analysis of the evaluative clusters across variable phases was conducted to ascertain their intricate interrelations. The software tool VOSviewer Version 1.6.19 successfully achieves the initial objectives by visualising networks based on co-authorship, citations, co-citations, and bibliographic coupling. The ultimate goal of this research is fully realised through the application of the Science Mapping Analysis Tool (SciMAT), Version 3, which facilitated the evaluation of diverse clusters, phases, and thematic domains. The findings from the initial stages of research conducted on carbon-neutral buildings primarily revolve around energy-savings measures, environmental impacts, and the pursuit of energy-efficient design. As the research progressed into subsequent phases, the scope of inquiry broadened into specific themes, such as (1) optimisation, (2) retrofitting, (3) transitioning, and exploring (4) phase change materials (PCMs). Moreover, the areas of study continued to expand by developing diverse scenarios, algorithms, and digital twin technologies. The graphical representations of the strategic diagrams, evaluation areas, and cluster networks are a valuable resource for practitioners and policymakers, offering valuable insight and understanding of the multifaceted landscape of thematic evaluation in carbon-neutral buildings, thus facilitating further investigations and informed decision making.

Tailored formation of WO3-rGO nanohybrids for dependable low temperature NO2 sensing

Herein, we report the facile synthesis route of the tungsten oxide (WO3)-reduced graphene oxide (rGO) nanohybrids by the hydrothermal method. The analyses of the WO3-rGO nanohybrid sensor were performed by various techniques, as X-ray diffraction (XRD), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), field emission scanning electron microscopy (FESEM), high-resolution transmission electron microscopy (HRTEM), and Brunauer–Emmett–Teller (BET) analyzer. The gas sensing analysis of WO3-rGO (1–5 wt%) nanohybrid sensors has revealed remarkable gas selectivity towards nitrogen dioxide (NO2) out of distinguishing gases viz. ammonia (NH3), carbon monoxide (CO), hydrogen sulfide (H2S), and sulfur dioxide (SO2). An optimal WO3-rGO (3 wt%) nanohybrid sensor has exhibited 252% response to 100 ppm NO2 at an optimized operating temperature (150 °C). The dynamic study of the WO3-rGO (3 wt%) nanohybrid sensor for different NO2 gas concentrations has displayed a clear increasing response trend. The reproducibility and stability of the sensor was confirmed through repeated measurements. Additionally, impedance studies were conducted to further insight the sensing mechanism of WO3-rGO (WR) nanohybrid sensor, shedding light on its electrical response to gas interactions. The WR nanohybrid sensors have exhibited promising gas sensing performance, indicating its potential for practical applications in areas like air quality monitoring, emission control, workplace safety, and other pertinent fields.

Navigating a transforming landscape: the evolving role of pharmacovigilance physicians in drug development and implications for future challenges and training requirements

Contrary to the famous quote from Voltaire, “The art of medicine consists in amusing the patient, while nature cures the disease”, medicine has evolved since the 17th century into a multi-faceted scientific field facilitating healing and improving overall wellbeing. One rapidly evolving area within this field is drug safety, also known as pharmacovigilance (PV). PV identifies and evaluates potential risks throughout the life cycle of the drug, minimizing patient exposure to harmful effects and guiding appropriate risk mitigation and management strategies. Timely identification and mitigation of risks not only contribute to patient safety but also allows maximum therapeutic benefits while curtailing economic burden associated with adverse events. In the evolving landscape of drug safety, the role of the PV physicians has emerged as an integral component of drug development. This paper aims to explore the evolving nature of PV physicians’ roles in drug development, highlighting changing landscape in drug development and safety monitoring and attendant changes and advancements in responsibilities, scope, and training implications. To be well-rounded, PV physicians are encouraged to strive to undergo relevant training and education. This would enable them to leverage pertinent complementary fields of science by developing the proficiency to ask the right questions, acknowledge multidisciplinary perspectives, and interpret the overall evidence. While on-the-job training is valuable for gaining experience, building a future safety workforce necessitates more targeted efforts, especially considering that medical school curricula may not readily emphasize the development of skills required for successful PV physician roles. Therefore, academic centers, pharmaceutical companies, and regulatory agencies should increase collaboration to establish hands-on training opportunities through post-doctoral, internship, and fellowship programs, in order to meet the growing demand for well-trained PV physicians.

Upscaling of chemo-mechanical properties of battery electrode material

A variationally consistent model-based computational homogenization approach for transient chemo- mechanically coupled problems is developed based on the classical assumption of first order prolongation of the displacement and chemical potential fields within a Representative Volume Element (RVE). An upscaling procedure is introduced that is based on the assumption of micro-stationarity for the RVE problem. This is motivated by sufficient separation of time-scales. Periodic boundary conditions on the pertinent fields provide the general variational setting for the uniquely solvable RVE-problems. Due to the assumed linearity and micro-stationary, it is possible to use the pertinent sensitivity analysis for the RVE in order to derive effective macro-scale properties in closed form: the elastic stiffness, the insertion strain tensor and the mobility tensor. Statistically representative results are obtained by considering a sufficient number of RVE-realizations with varying volume fractions of the constituents. With the application to structural batteries in mind, a numerical study is conducted for a three-phase RVE microstructure representing a battery electrode material.

Paradigm Shift in Medicine: Integrating Naturopathic Care in the Treatment of Chronic Disease: Want to follow best practices in chronic disease treatment? Look to naturopathic physicians.

The current healthcare system too often relies on prescription drugs, leading to increased opioid use and addiction, despite major medical organizations recommending non-drug approaches as the primary treatment in many conditions. The importance of lifestyle changes to achieving whole-person health is increasingly recognized. Nature-based medicine, as routinely practiced by naturopathic physicians provide a valuable and noteworthy alternative approach featuring lifestyle intervention to chronic pain and disease management. These physicians undergo extensive training in holistic models of care and apply a systematic approach called the Therapeutic Order, which focuses on addressing the underlying cause of symptoms and using the least force necessary for treatment. Improved outcomes are realized with multifactorial personalized treatment plans including lifestyle, nutrition, stress management, and physical activity. Integrative medicine is on the rise and we support the shift to the inclusion of a patient-centered approach in the management of chronic pain and disease. Nothing in the practice of natural, holistic medicine precludes respect for science, and the reliance on evidence. Rather, medicine is at its best when practice can draw from the best offerings of all pertinent fields.

The Influence of Religious Affiliation and Attitudes of Clinical Genetic Testing Among Medical Students in the West Texas Region.

Genetic counseling is an essential and pertinent field in any society to lower the prevalence of hereditary disorders. However, the desire to undergo counseling and genetic testing varies widely depending on the cultural background and level of scientific literacy of the individual. In this survey, we examine the perspectives of medical students on clinical genetic testing based upon their religious tradition. The total number of participants in the study was 257 (122 male and 135 female) second year medical students at Texas Tech University Health Sciences Center (TTUHSC). The distribution of religious identification (Atheist, Christian, Hindu, Jewish, Muslim, Spiritual/not Affiliated, and Other) among the second-year medical students. The survey was available to students through TTUHSC's Omnibus survey program for a period of two weeks. Most of the second-year medical students interviewed identified as being Christian (67%) with the next highest religious identification being Spiritual/not Affiliated (9%), Atheist (8%), and Muslim (6%). With regards to genetic tests, most of the students (95%), regardless of religious identification, have not used any commercial genetic testing services. Most second year medical students regardless of religious affiliation had similar agreement with questions regarding clinical genetic testing. However, there was a similar drop in agreement when it came on where students would want genetic screening to be performed regularly in clinics/hospitals. Given the numerous factors that must be considered, such as the patient's attitudes, knowledge, and beliefs towards the counseling process and genetic testing, genetic counseling is a challenging problem. Each target population's history, relevant exposure to, and domain expertise must be considered while promoting decision-making in genetic testing.

Vertical Integration in the Pediatrics Clerkship: A Case Study

Since the end of the twentieth century, medical educators continue to review and call for changes that will improve how medical students apply their knowledge of basic sciences to the clinical management of their patients. The traditional 2 + 2 curriculum, where basic sciences are taught during the first two years and were followed by clinical clerkships, was challenged with calls to move towards a Z-shaped integrated curriculum, a model which presents bio-medical sciences and clinical cases in parallel or in connection with one another. Faculty at the Frank H. Netter MD School of Medicine developed a vertical integration didactic session that presented an eight-year-old child with an acute asthmatic episode. After a brief introduction, clinical and pre-clinical faculty who teach in Years 1–3 and social work faculty met with medical students placed in small groups to discuss their pertinent field; faculty members rotated among the groups. At the end of the session, the students provided feedback and comments for the continuous quality improvement of the session. The session has been taught four times thus far. A majority of the students expressed satisfaction with the opportunity to review basic science concepts during the clerkship and apply these concepts to develop clinical management skills. Students were also excited to discuss social determinants and the effects of a pediatric chronic illness on the whole family. Combining a review of basic and social science concepts with clinical management, with faculty from pre-clinical and clinical years, was enjoyed by our students, who felt this educational approach expanded their ability to better manage clinical problems. While our case is in pediatrics, we believe the method can be applied to other specialties.

Eosinophilic granulomatosis with polyangiitis developed after dupilumab administration in patients with eosinophilic chronic rhinosinusitis and asthma: a case report

BackgroundEosinophilic granulomatosis with polyangiitis (EGPA) is a form of anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis characterized by eosinophil-rich granulomatous inflammation and small-to-medium vessel vasculitis associated with asthma, rhinosinusitis, and eosinophilia. EGPA is often difficult to distinguish from severe asthma and eosinophilic chronic rhinosinusitis (ECRS) in cases when there are no findings that suggest vasculitis. Dupilumab, an anti-IL-4Rα monoclonal antibody, is expected to be effective in eosinophilic airway inflammatory diseases, such as refractory asthma and chronic rhinosinusitis (CRS). Although transient eosinophilia and eosinophilic pneumoniae have been reported in patients with refractory asthma and CRS associated with dupilumab, few studies have examined the development of EGPA.Case presentationWe report a case of a 61-year-old woman treated with dupilumab for refractory ECRS and eosinophilic otitis media (EOM) complicated by severe asthma. Although she had a previous history of eosinophilic pneumoniae and myeloperoxidase (MPO) ANCA positivity, there were no apparent findings of vasculitis before the initiation of dupilumab. After the second administration of dupilumab, several adverse events developed, including worsening of ECRS, EOM and asthma, and neuropathy. A blood test showed an eosoinophilia and re-elevation of MPO-ANCA levels after the administration of dupilumab. Therefore, dupilumab was discontinued owing to the development of EGPA, and prednisolone and azathioprine administration was initiated for a remission induction therapy.ConclusionTo the best of our knowledge, this is the first case report that suggests that dupilumab may directly trigger the manifestation of vasculitis in patients who were previously MPO-ANCA-positive. Although the precise mechanism of how dupilumab could trigger the development of EGPA requires further elucidation, measuring MPO-ANCA in patients with multiple eosinophilic disorders before the initiation of dupilumab might be helpful when considering the possibility of a latent EGPA. When administering dupilumab to patients with a previous history of MPO-ANCA positivity, clinicians must carefully monitor and collaborate with other specialists in the pertinent fields of study for appropriate usage.