Biomarkers Of Atopic Dermatitis Research Articles

An Observational Study: Association Between Atopic Dermatitis and Bacterial Colony of the Skin Based on 16S rRNA Gene Sequencing.

Atopic dermatitis (AD) often accompanies skin infections, and bacterial skin infections often cause persistent and worsening symptoms. In this study, we explored the key changes in the microbiota of AD patients, as well as the effects of different ages and the severity of rash on changes in the microbiota. A total of 95 AD patients and 77 healthy volunteers were recruited. The AD patients were divided into three groups based age and three groups according to the EASI score. Microorganisms collected from the skin were analyzed through 16S rRNA gene sequencing, revealing species diversity via α and β diversity analyses. Species compositions were compared at the phylum and genus levels. The significance of skin microbiota at the genus level was assessed using the random forest algorithm. Finally, the impact of relationships between different microbial communities on the microbial community composition and the pathogenesis of AD was explored using Pearson correlation coefficients. The species diversity of the skin microbiota in the AD group significantly decreased. Compared with that in the healthy volunteers (HV) group, the bacterial diversity in the two groups of samples significantly differed. Staphylococcus dominated the bacterial communities, and as AD symptoms gradually worsened, the abundance of Staphylococcus gradually increased. Among all bacterial genera with a relative abundance greater than 1%, Staphylococcus showed a negative correlation with other genera, and showed significant consistency in specimens from different age groups. Changes in the abundance of Staphylococcus in the skin bacterial colonies are the main cause of AD. Brevundimonas, Paracoccus, Corynebacterium, and Veillonella may serve as characteristic biomarkers for AD. These results indicate that altering the microbiota composition of the skin may aid in the treatment of AD.

Monoclonal Antibodies: Current Advancements and Future Potential for Atopic Dermatitis Therapy.

Atopic Dermatitis (AD) is an inflammatory skin condition with a severe itch. The topical therapy using corticosteroids is not sufficient for the effective therapy of moderate to severe cases of AD. The investigation and development of immunological targetspecific human monoclonal antibodies have changed the paradigm for the therapy of moderate to severe cases of AD. The establishment of target-specific, tolerable, and efficacious human monoclonal antibodies might lead to the better management of moderate to severe cases of AD. The scientific literature available in databases, such as Pubmed and Clinicaltrial.gov, was searched and discussed for available clinical therapeutic information. The present review has discussed the potential immunological targets of specific monoclonal antibodies developed and approved or which are under investigation in clinical trials. The development of targeted monoclonal antibodies can improve the understanding of the role of different immunological pathways and biomarkers in AD and become the future of AD treatment.

The interrelation of scientific, ethical, and translational challenges for precision medicine with multimodal biomarkers – A qualitative expert interview study in dermatology research

This qualitative study examines the impact of scientific, ethical, and translational challenges of precision medicine for atopic dermatitis and psoriasis. The study explores how these challenges affect biomarker research for inflammatory skin diseases as identified by stakeholders, including patient board representatives, pharmaceutical industry partners, and postdoctoral and senior researchers from multiple disciplines in biomarker research. We recruited participating experts both within and associated with the international Biomarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium to ensure representation of the different organizational units of the consortium. For the study, we followed the COREQ checklist. The interviews were conducted using GDPR-safe online platforms and the pseudonymized transcripts were analyzed using Atlas.ti. We analyzed the interviews from participants' personal experiences, topic-oriented, and group specific to identify the main themes presented in this article. The findings were presented to peers and to the wider BIOMAP audience, discussed, and a draft was circulated within the consortium for feedback. In this study, we identify and discuss the interrelation of challenges that are relevant to improving precision medicine with multimodal biomarkers. We show how scientific challenges can interrelate with ethical and translational issues, and explain these interdependencies and articulate epistemic and social factors of interdisciplinary collaboration. Based on our findings, we suggest that including patient representatives’ perspectives is crucial for highly interrelated and widely diverse research. The proposed integrative perspective is beneficial for all involved stakeholders. Effective communication of science requires reflection on the tension between scientific uncertainty and the goals of precision medicine. Furthermore, we show how changing the perception of the diseases, atopic dermatitis, and psoriasis can benefit patients beyond medical practice.

Epigenetic and biological age acceleration in children with atopic dermatitis

BackgroundAtopic dermatitis is a chronic inflammatory skin disease resulting from the complex interplay of genetic and environmental factors, meriting exploration using temporally-dynamic biomarkers. DNA methylation-based algorithms have been trained to accurately estimate biological age, and deviation of predicted age from true age (epigenetic age acceleration) has been implicated in several inflammatory diseases, including asthma. ObjectiveTo determine the role of epigenetic and biological aging, telomere length, and epigenetically-inferred abundance of seven inflammatory biomarkers in atopic dermatitis. MethodsWe performed DNA methylation-based analyses in a pediatric atopic dermatitis cohort (n=24, mean age 2.56±0.28y) and age-matched healthy subjects (n=24, mean age 2.09±0.15y) derived from blood, using five validated algorithms that assess epigenetic (Horvath, Skin&Blood) and biological age (PhenoAge, GrimAge), telomere length (TelomereLength), and inflammatory biomarker levels. ResultsEpigenetic and biological age, but not telomere length, were accelerated in atopic dermatitis patients for four algorithms: Horvath (+0.88 years; 95%CI 0.33-1.4; p=2.3x10-3), Skin&Blood (+0.95 years; 95%CI 0.67-1.2; p=1.8x10-8), PhenoAge (+8.2 years; 95%CI 3.4-13.0; p=1.3x10-3), and GrimAge (+1.8 years 95%CI 0.22-3.3; p=0.026). Moreover, patients had increased levels of beta-2-microglobulin (+47,584.4 ng/ml; p=0.029), plasminogen activation inhibitor 1 (+3,432.9 ng/ml; p=1.1x10-5) and cystatin C (+31,691 ng/ml; p=4.0x10-5), while levels of tissue inhibitor metalloproteinase 1 (-370.7 ng/ml; p=7.5x10-4) were decreased versus healthy subjects. ConclusionDNA methylation changes associated with epigenetic and biological aging, and inflammatory proteins appear early in life in pediatric atopic dermatitis and may be relevant clinical biomarkers of pathophysiology.

Tape Stripping - Searching for Minimally Invasive Biomarkers in Atopic Dermatitis.

Atopic dermatitis (AD) is nowadays entering a new era of more targeted treatments. However, to make personalized medicine, which we are currently striving for, a reality, a reliable set of validated biomarkers is needed. The most practical seem to be biomarkers that can be obtained easily and minimally invasively. Tape stripping (TS) is a method that provides such an opportunity. This review summarizes the potential biomarkers of AD identified by the minimally invasive TS method. Thymic stromal lymphopoietin (TSLP), interleukin (IL)-13, CC chemokine ligand 17 (CCL17)/thymus and activation-regulated chemokine (TARC) and stratum corneum (SC) lipids can be used as predictive biomarkers for AD occurrence. CCL17/TARC also holds great promise for being reliable biomarkers for AD severity as well as treatment response. Nitric oxide synthase 2 (NOS2)/inducible nitric oxide synthase (iNOS) which high expression is specific for psoriasis may be a good biomarker for differential diagnosis between psoriasis and AD in challenging clinical situations. AD children with food allergy (FA) have a unique endotype characterized by selectively altered expression of various molecules in the skin that can indicate FA coexistence. Unfortunately, although numerous potential biomarkers have been found, none of these candidates have been validated and implemented into routine clinical practice, which still separates us from the possibility of a precise approach to AD patients.

Targeting IL-13 with tralokinumab normalizes type 2 inflammation in atopic dermatitis both early and at 2 years.

Tralokinumab is a monoclonal antibody that specifically neutralizes interleukin (IL)-13, a key driver of skin inflammation and barrier abnormalities in atopic dermatitis (AD). This study evaluated early and 2-year impacts of IL-13 neutralization on skin and serum biomarkers following tralokinumab treatment in adults with moderate-to-severe AD. Skin biopsies and blood samples were evaluated from a subset of patients enrolled in the Phase 3 ECZTRA 1 (NCT03131648) and the long-term extension ECZTEND (NCT03587805) trials. Gene expression was assessed by RNA sequencing; protein expression was assessed by immunohistochemistry and immunoassay. Tralokinumab improved the transcriptomic profile of lesional skin by Week 4. Mean improvements in the expression of genes dysregulated in AD were 39% at Week 16 and 85% at 2 years with tralokinumab, with 15% worsening at Week 16 with placebo. At Week 16, tralokinumab significantly decreased type 2 serum biomarkers (CCL17/TARC, periostin, and IgE), reduced epidermal thickness versus placebo, and increased loricrin coverage versus baseline. Two years of tralokinumab treatment significantly reduced expression of genes in the Th2 (IL4R, IL31, CCL17, and CCL26), Th1 (IFNG), and Th17/Th22 (IL22, S100A7, S100A8, and S100A9) pathways as well as increased expression of epidermal differentiation and barrier genes (CLDN1 and LOR). Tralokinumab also shifted atherosclerosis signaling pathway genes (SELE, IL-37, and S100A8) toward non-lesional expression. Tralokinumab treatment improved epidermal pathology, reduced systemic markers of type 2 inflammation, and shifted expression of key AD biomarkers in skin towards non-lesional levels, further highlighting the key role of IL-13 in the pathogenesis of AD. NCT03131648, NCT03587805.

Precision Dermatology: A Review of Molecular Biomarkers and Personalized Therapies.

The evolution of personalized medicine in dermatology signifies a transformative shift towards individualized treatments, driven by the integration of biomarkers. These molecular indicators serve beyond diagnostics, offering insights into disease staging, prognosis, and therapeutic monitoring. Specific criteria guide biomarker selection, ensuring attributes like specificity, sensitivity, cost feasibility, stability, rapid detection, and reproducibility. This literature review, based on data from PubMed, SCOPUS, and Web of Science, explores biomarkers in Hidradenitis Suppurativa (HS), Psoriasis, Atopic Dermatitis (AD), Alopecia Areata (AA), Vitiligo, and Chronic Spontaneous Urticaria (CSU). In HS, TNF-α, IL-1β, and MMPs serve as biomarkers, influencing targeted therapies like adalimumab and anakinra. Psoriasis involves biomarkers such as TNF-α, IL-23, and HLA genes, shaping treatments like IL23 and IL17 inhibitors. AD biomarkers include ECP, IL-4, IL-13, guiding therapies like dupilumab and tralokinumab. For AA, lipocalin-2, cytokines, and genetic polymorphisms inform JAK inhibitors' use. Vitiligo biomarkers range from cytokines to genetic markers like TYR, TYRP1, guiding treatments like JAK inhibitors. CSU biomarkers encompass IgE, cytokines, and autologous serum tests, influencing therapies like omalizumab and cyclosporine. Comparing conditions, common proinflammatory markers reveal limited specificity. While some biomarkers aid diagnosis and standard treatments, others hold more scientific than clinical value. Precision medicine, driven by biomarkers, has shown success in skin malignancies. Future directions involve AI-powered algorithms, nanotechnology, and multi-omics integration for personalized dermatological care.

Exploring the Potential of IL-4 and IL-13 Plasma Levels as Biomarkers in Atopic Dermatitis.

Atopic dermatitis (AD) is a persistent inflammatory skin condition that impacts individuals of various age groups, including both children and adults. Its pathophysiology involves allergens penetrating a disrupted epidermal barrier, triggering the dermal cells to produce pro-inflammatory cytokines and eliciting a T-cell-mediated immune response. Notably, interleukins (ILs), particularly interleukin 4 (IL-4) and interleukin 13 (IL-13), play a key role in AD pathogenesis. Therapies directed at inflammatory mechanisms, including Dupilumab, have demonstrated notable effectiveness in enhancing skin lesions, alleviating subjective symptoms, and improving the overall quality of life for individuals with AD. Despite therapeutic advances, assessing AD severity remains challenging. The commonly used tools, such as the SCORAD and DLQI scores, rely on subjective patient responses. Paraclinically, the search for universal biomarkers continues, with efforts to identify reliable indicators reflecting disease severity and treatment response. Various biomarkers, including Th2-related chemokines and cytokines, have been explored, but none have gained universal recognition for routine clinical use. This study aims to investigate the dynamics of the plasma levels of IL-4 and IL-13 during Dupilumab treatment and establish correlations between these ILs and disease severity, as measured using the SCORAD and DLQI scores. The ultimate endpoint is to determine whether IL-4 and IL-13 can serve as reliable biomarkers, assessing their correlation with patient-reported feelings and disease activity and potentially influencing their inclusion or exclusion as diagnostic elements in routine clinical practice.

Defining disease severity in atopic dermatitis and psoriasis for the application to biomarker research: aninterdisciplinary perspective.

More severe atopic dermatitis and psoriasis are associated with a higher cumulative impact on quality of life, multimorbidity and healthcare costs. Proactive, early intervention in those most at risk of severe disease may reduce this cumulative burden and modify the disease trajectory to limit progression. The lack of reliable biomarkers for this at-risk group represents a barrier to such a paradigm shift in practice. To expedite discovery and validation, the BIOMarkers in Atopic Dermatitis and Psoriasis (BIOMAP) consortium (a large-scale European, interdisciplinary research initiative) has curated clinical and molecular data across diverse study designs and sources including cross-sectional and cohort studies (small-scale studies through to large multicentre registries), clinical trials, electronic health records and large-scale population-based biobanks. We map all dataset disease severity instruments and measures to three key domains (symptoms, inflammatory activity and disease course), and describe important codependencies and relationships across variables and domains. We prioritize definitions for more severe disease with reference to international consensus, reference standards and/or expert opinion. Key factors to consider when analysing datasets across these diverse study types include explicit early consideration of biomarker purpose and clinical context, candidate biomarkers associated with disease severity at a particular point in time and over time and how they are related, taking the stage of biomarker development into account when selecting disease severity measures for analyses, and validating biomarker associations with disease severity outcomes using both physician- and patient-reported measures and across domains. The outputs from this exercise will ensure coherence and focus across the BIOMAP consortium so that mechanistic insights and biomarkers are clinically relevant, patient-centric and more generalizable to current and future research efforts.

Real-world effectiveness and safety of baricitinib including its effect on biomarkers and laboratory data in Japanese adult patients with atopic dermatitis: a single-center retrospective study

Baricitinib demonstrated efficacy and tolerable safety in clinical trials for atopic dermatitis (AD); however, real-world data are limited. We examined effectiveness and safety of baricitinib, and laboratory data in AD patients treated with baricitinib in our department. We also evaluated baseline clinical severity in responders and non-responders. All adult AD patients treated with baricitinib in our department between January 2021 and February 2023 were included. Data on 30 Japanese AD patients were analyzed. Objective severity scores and patient-reported outcomes improved at one and 3 months, except for the affected body surface area at 1 month. The proportions of patients who achieved eczema area and severity index-50% improvement were 30.0% (9/30) at 1 month and 53.3% (16/30) at 3 months. There were no significant changes in AD biomarkers. No significant difference was observed in baseline clinical severity between responders and non-responders. No significant changes were observed in laboratory results except for increased serum creatine phosphokinase levels at 3 months. One case of herpes zoster and one case of ocular herpes were observed. Baricitinib showed mild effectiveness and favorable safety including laboratory findings. Biomarkers did not reflect clinical improvement. Further study is needed to identify characteristics of responders.

A quantitative systems pharmacology workflow toward optimal design and biomarker stratification of atopic dermatitis clinical trials

BackgroundThe development of atopic dermatitis (AD) drugs is confronted by many disease phenotypes and trial design options, which are hard to explore experimentally. ObjectiveOptimize AD trial design using simulations. MethodsWe constructed a quantitative systems pharmacology (QSP) model of AD and standard of care (SoC) treatments and generated a phenotypically diverse virtual population whose parameter distribution is a) derived from known relationships between AD biomarkers and disease severity and b) calibrated using disease severity evolution under SoC regimens. ResultsWe applied this workflow to the immunomodulator OM-85, currently being investigated for its potential use in AD, and calibrated investigational treatment model with the efficacy profile of an existing trial (thereby enriching it with plausible marker levels and dynamics). We assessed the sensitivity of trial outcomes to trial protocol and found that for this particular example, a) the choice of endpoint is more important than the choice of dosing-regimen and b) patient selection by model-based responder enrichment could increase the expected effect size. A global sensitivity analysis revealed that only a limited subset of baseline biomarkers is needed to predict the drug response of the full virtual population. ConclusionThis AD QSP workflow built around knowledge of marker-severity relationships as well as SoC efficacy can be tailored to specific development cases so as to optimize several trial protocol parameters and biomarker-stratification and therefore holds promise to become a powerful model-informed AD drug development and personalized medicine tool.

Systemic Inflammatory Proteomic Biomarkers in Atopic Dermatitis: Exploring Potential Indicators for Disease Severity.

Atopic dermatitis (AD) is a chronic inflammatory cutaneous disorder, that emerges from intricate interplays among genetic predisposition, immune dysregulation, environmental factors, and compromised skin barrier. Understanding the inflammatory pathway in AD is important due to its fundamental role in the pathogenesis of AD. This study aimed to explore the diverse spectrum of proteins linked to the inflammation of AD and the relationship between systemic biomarkers and clinical severity in AD. We examined the blood samples from 48 patients with AD and 48 healthy controls (HCs) using the Proximity Extension Assay (Olink). Differentially expressed proteins (DEPs) were identified and Pearson correlation analysis was conducted to determine systemic proteomic biomarkers associated with severity of AD. A total of 29 DEPs were significantly up-regulated and 2 DEPs were significantly down-regulated in AD compared with the HC. The MCP-4, IL-18, MCP-3, TNFRSF9, and IL-17C were the top 5 highest DEPs associated with the severity of AD. Our study sheds light on the intricate network of inflammatory proteins in AD and their potential implications for disease severity. Our results indicate that these systemic inflammatory proteins could be valuable for assessing AD severity and enhancing our understanding of the disease's complexity and its potential management strategies.

Vernix caseosa reveals mechanistic clues linking maternal obesity to atopic dermatitis pathogenesis

Maternal overweight and obesity have been associated with an increased risk of atopic dermatitis (AD) in the offspring, but the underlying mechanisms are unclear. Vernix caseosa (VC) is a proteolipid material covering the fetus produced during skin development. However, whether maternal prepregnancy weight excess influences fetal skin development is unknown. Characterizing the VC of newborns from mothers with prepregnancy overweight and obesity might reveal AD-prone alterations during fetal skin development. We sought to explore AD biomarkers and staphylococcal loads in VC from the offspring of mothers who were overweight/obese (O/O) before pregnancy versus in those from offspring of normal weight mothers. The VC of newborns of 14 O/O and 12 normal weight mothers were collected immediately after birth. Biomarkers were determined by ELISA and staphylococcal species by quantitative PCR. The VC from the O/O group showed decreased expression of skin barrier proteins (filaggrin and loricrin) and increased levels of proinflammatory biomarkers (IgA, thymic stromal lymphopoietin [TSLP], S100A8, IL-25, and IL-33). No differences in concentrations of antimicrobial peptides and enzymes were detected. The VC from the O/O group had a lower Staphylococcus epidermidis and Staphylococcus hominis commensal bacterial load, whereas Staphylococcus aureus bacterial load was not significantly different between the 2 groups. Maternal body mass index was negatively correlated with VC filaggrin expression and S epidermidis load and was positively associated with TSLP concentration. One-year follow-up established that the offspring of O/O mothers had a higher incidence of AD that was specifically linked with decreased VC filaggrin expression and lower S epidermidis load. VC from neonates of mothers with prepregnancy overweight and obesity exhibit skin barrier molecular alterations and staphylococcal dysbiosis that suggest earlymechanistic clues to this population's increased risk of AD.

Identification of IRF1 as a Novel Pyroptosis-Related Prognostic Biomarker of Atopic Dermatitis.

Purpose: The aim of this study was to characterize key biomarkers associated with pyroptosis in atopic dermatitis (AD). Materials and methods: To identify the differentially expressed pyroptosis-related genes (DEPRGs), the gene expression profiles GSE16161 and GSE32924 from the Gene Expression Omnibus (GEO) database were utilized. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted to determine the potential biological functions and involved pathways. Furthermore, protein-protein interaction network analyses were performed to identify hub genes. The types and proportions of infiltrating immune cells were detected by immune filtration analysis using CIBERSORT. A 12-axis competing endogenous RNA (ceRNA) network was constructed utilizing the miRNet database. Immunohistochemistry (IHC) further validated the differential expression of a key gene IRF1 in the skin tissues collected from AD patients. The collection of skin tissue from human subjects in this study were reviewed and approved by the IRB of Yueyang Integrated Chinese and Western Medicine Hospital (KYSKSB2020-125). Results: The study identified a total of 76 DEPRGs, which were enriched in genes associated with the inflammatory response and immune regulation. There was a higher percentage of activated dendritic cells and a lower percentage of resting mast cells in AD samples. PVT1 expression was associated with upregulation of hub genes including CXCL8, IRF1, MKI67, and TP53 in the ceRNA network and was correlated with activated dendritic cells in AD. As a transcription factor, IRF1 could regulate the production of downstream inflammatory factors. The IHC study revealed that IRF1 was overexpressed in the skin tissues of AD patients, which were consistent with the results of the bioinformatic study. Conclusions: IRF1 and its related genes were identified as key pyroptosis-related biomarkers in AD, which is a crucial pathway in the pathogenesis of AD.

Identification and preliminary validation of potential biomarkers in the peripheral blood mononuclear cells of atopic dermatitis

Objective: To explore the difference of peripheral blood mononuclear cells (PBMC) transcripts between atopic dermatitis (AD) and healthy controls, and to screen and preliminarily validate potential biomarkers of AD. Methods: From January 2021 to May 2022, blood samples from 9 AD patients and 10 healthy controls were collected from the Dermatology and Cosmetic Center of the Third Affiliated Hospital of Chongqing Medical University, ribonucleic acid-sequencing (RNA-seq) was used to determine the transcriptome and relative expression of PBMC, the differentially expressed genes (DEGs) were analyzed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction networks (PPI) analysis, and the potential biomarkers were identified by quantitative real-time PCR (qRT-PCR). Results: The age of patients in the AD group [M (Q1, Q3)] was 26.50 (22.75, 30.50) years old, and the course of disease [M (Q1, Q3)] was 15 (10, 20) years,and the age of the healthy control group [M (Q1, Q3)] was 37.00 (27.75, 40.25) years old. Compared with healthy controls, 1 044 DEGs were detected in PBMC samples in AD group, including 668 up-regulated genes and 376 down-regulated genes. Differential variable splicing (AS) showed that mutually exclusive exons (46.74%) and skipped exon (31.01%) accounted for a large proportion. GO and KEGG enrichment analysis revealed that AD is closely linked to DEGs implicated in the inflammatory response and cytokine interaction and signal pathway. Comprehensive enrichment analysis and PPI analysis selected the expression of 8 candidate genes (CCL4, CCR3, CXCR5, NFKBIA, CXCL1, IL-1B, CCL20, LY96), which was confirmed by qRT-PCR and were consistent with that of RNA-seq. Conclusions: CCL4, CCR3, CXCR5, NFKBIA, CXCL1, IL-1B, CCL20 and LY96 might be potential biomarkers of AD, participating in the occurrence and development of AD.

Real-world clinical efficacy of nemolizumab in Japanese patients with atopic dermatitis

Nemolizumab was approved in Japan in August 2022 to treat patients with atopic dermatitis (AD). The study objective was to evaluate its effectiveness in controlling AD symptoms in the real world postmarketing. Eleven Japanese patients with AD treated with nemolizumab were assessed at 12 weeks for clinical manifestations, AD scores Visual Analog Scale and Eczema Area and Severity Index, and serum biomarkers. Visual Analog Scale and Eczema Area and Severity Index scores were significantly decreased by 80% and 66.4%, showing nemolizumab improved both itch and skin lesions. However, several serum AD biomarkers did not change during treatment with nemolizumab.

Analytical Performance of a Novel Latex Turbidimetric Immunoassay, "Nanopia TARC", for TARC/CCL17 Measurement: A Retrospective Observational Study.

Thymus- and activation-regulated chemokine (TARC, also known as CCL17) is used as a biomarker for atopic dermatitis. The methods currently used for its measurement are complex, time-consuming, and require large machinery, warranting the need for a method that is simple, has a quick turnaround time, and requires less complex machinery. We evaluated the analytical performance of a novel latex turbidimetric immunoassay method, "Nanopia TARC", on 174 residual serum samples from patients with skin or allergic diseases. This evaluation included the assessment of the limit of blank/detection/quantification (LOB/D/Q), precision, accuracy, linearity, interference, and commutability between Nanopia TARC and "HISCL TARC", based on the chemiluminescent enzyme immunoassay (CLEIA) method. The LOB/D/Q values were 13, 57, and 141 pg/mL, respectively. The coefficient of variation of the repeatability was 0.9-3.8%, and that of the intermediate precision was 2.1-5.4%. The total error of the accuracy was 1.9-13.4%. The linearity was 141 and 19,804 pg/mL for TARC. The correlation coefficient between Nanopia TARC and HISCL TARC determined using the Passing-Bablok regression analysis was 0.999. Furthermore, the concordance of diagnostic criteria with AD was 92%. Nanopia TARC was confirmed to have the same analytical performance for TARC measurement as the existing CLEIA method.

Burden of Disease and Unmet Needs in the Diagnosis and Management of Atopic Dermatitis in Korea.

Atopic dermatitis (AD) is a chronic inflammatory skin condition associated with a significant disease burden in Korea. AD is highly prevalent among Korean children, adolescents, and adults, and can cause physical discomfort, psychological distress, and social isolation for those affected. Despite advances in our understanding of AD, there are still many unmet needs in diagnosing and managing the disease in Korea. One of the challenges in diagnosing AD is the lack of a definitive biomarker for AD in Korea, and there is a need for more effective, safe, and cost-effective treatments for AD. Therefore, finding out the current epidemiology, burden of AD, and how AD is currently being diagnosed in Korea and reviewing management options available in Korea will help resolve the unmet needs of AD patients in Korea. Addressing these and other unmet needs in AD management and diagnosis in Korea may improve outcomes for those affected by this challenging condition.

Raster-scanning optoacoustic mesoscopy biomarkers for atopic dermatitis skin lesions

Atopic dermatitis (AD) is the most common chronic inflammatory skin disease worldwide. Its severity is assessed using scores that rely on visual observation of the affected body surface area, the morphology of the lesions and subjective symptoms, like pruritus or insomnia. Ideally, such scores should be complemented by objective and accurate measurements of disease severity to standardize disease scoring in routine care and clinical trials. Recently, it was shown that raster-scanning optoacoustic mesoscopy (RSOM) can provide detailed three-dimensional images of skin inflammation processes that capture the most relevant features of their pathology. Moreover, precise RSOM biomarkers of inflammation have been identified for psoriasis. However, the objectivity and validity of such biomarkers in repeated measurements have not yet been assessed for AD. Here, we report the results of a study on the repeatability of RSOM inflammation biomarkers in AD to estimate their precision. Optoacoustic imaging analysis revealed morphological inflammation biomarkers with precision well beyond standard clinical severity metrics. Our findings suggest that optoacoustic mesoscopy may be a good choice for quantitative evaluations of AD that are inaccessible by other methods. This could potentially enable the optimization of disease scoring and drug development.

Electromagnetic Sensing Techniques for Monitoring Atopic Dermatitis-Current Practices and Possible Advancements: A Review.

Atopic dermatitis (AD) is one of the most common skin disorders, affecting nearly one-fifth of children and adolescents worldwide, and currently, the only method of monitoring the condition is through an in-person visual examination by a clinician. This method of assessment poses an inherent risk of subjectivity and can be restrictive to patients who do not have access to or cannot visit hospitals. Advances in digital sensing technologies can serve as a foundation for the development of a new generation of e-health devices that provide accurate and empirical evaluation of the condition to patients worldwide. The goal of this review is to study the past, present, and future of AD monitoring. First, current medical practices such as biopsy, tape stripping and blood serum are discussed with their merits and demerits. Then, alternative digital methods of medical evaluation are highlighted with the focus on non-invasive monitoring using biomarkers of AD-TEWL, skin permittivity, elasticity, and pruritus. Finally, possible future technologies are showcased such as radio frequency reflectometry and optical spectroscopy along with a short discussion to provoke research into improving the current techniques and employing the new ones to develop an AD monitoring device, which could eventually facilitate medical diagnosis.