Search Results (1,399)

Although salivary glands are highly vascularized, the microvascular endothelial barrier has only recently emerged as a pivotal determinant of glandular homeostasis and disease. This review synthesizes current understanding of the salivary gland endothelial barrier, with particular emphasis on the regulation of tight junctions (TJs). Structurally, the barrier comprises endothelial cells interconnected by TJs and adherens junctions, supported by a basement membrane and pericytes. Among TJ components, claudin-5 serves as a key endothelial-specific regulator of paracellular permeability, and is dynamically modulated by biochemical and mechanical stimuli during saliva secretion. Cholinergic, adrenergic, and neuropeptide signaling pathways coordinate to fine-tune endothelial permeability to meet the fluctuating secretory demands. Conversely, under pathological conditions, such as Sjögren’s syndrome, radiation-induced injury, diabetes mellitus, fibrotic diseases, and salivary gland tumors, the integrity of the endothelial TJ complex is impaired. These pathologies are characterized by aberrant TJ expression, mislocalization, and signaling-mediated junctional disassembly, which trigger vascular leakage and immune cell infiltration—two key processes that act as primary drivers of glandular dysfunction. Collectively, these findings enrich our understanding of the microvascular mechanisms that link endothelial barrier function to salivation, and highlight that the restoration of junctional integrity is a promising therapeutic strategy for salivary gland diseases. Full article

The classical Fortescue symmetrical-component transform remains fully invertible as a similarity transform when the complete sequence-domain matrix is retained. In practice, however, untransposed three-phase overhead lines are often summarized by the diagonal sequence quantities $Z_0$ and $Z_1$, while the asymmetry appears through coupled off-diagonal terms that are less convenient for compact parameterization and measurement-based interpretation. This paper presents an Extended Sequence Transform that reorganizes the six independent entries of the phase-domain impedance matrix into six structured parameters by means of a lossless, invertible $6\times 6$ linear mapping. The first two parameters are identical to the classical zero- and positive-sequence impedances, which preserves backward compatibility. The remaining four parameters isolate asymmetry information in a form from which all entries of the classical sequence matrix can be recovered exactly, and from which the full phase-domain matrix is reconstructed to machine precision. The proposed representation does not diagonalize an untransposed line; rather, it provides a compact and explicit six-scalar parameterization that separates the classical sequence pair from four asymmetry descriptors. Numerical validation on a 50 km untransposed overhead line confirms exact round-trip reconstruction and exact agreement of the unbalance factors obtained from the classical and extended representations. A stochastic perturbation study further shows that round-trip reconstruction remains at numerical precision and that, within the tested perturbation grid, the $M_2$ factor is more sensitive than $M_0$. Line-constant calculations performed in OpenDSS for two typical 400 kV tower geometries link the four asymmetry parameters to specific geometric features, a worked offline measurement example recovers them from simulated three-phase terminal tests, and a distributed-model study confirms that the lumped-parameter description of the asymmetry remains accurate to within about 0.6% up to 150 km. Full article

Combined intrastromal corneal ring segment implantation with corneal collagen cross-linking (CXL) aims to improve optical regularity and reduce the risk of ectatic progression in selected eyes with keratoconus. In this retrospective, single-center, complete-case longitudinal series, 58 eyes from 40 patients treated at OCULENS Ophthalmology Clinic between 2019 and 2022 were analyzed after same-session KeraRing implantation and conventional epithelium-off CXL, with baseline and 6-, 12-, 24-, and 36-month follow-up data. Outcomes included uncorrected distance visual acuity (UDVA), corrected distance visual acuity (CDVA), thinnest pachymetry, maximum keratometry (Kmax), the Belin/Ambrosio enhanced ectasia total deviation index (BAD-D), the C and D components of the ABCD classification, and Corvis ST-derived dynamic deformation parameters. Longitudinal continuous outcomes were analyzed as eye-level repeated-measures estimates with Holm-adjusted paired comparisons, and stage distributions were analyzed with the Friedman test. At 36 months, UDVA improved from 0.560 ± 0.151 to 0.469 ± 0.136 logMAR and CDVA from 0.350 ± 0.109 to 0.287 ± 0.092 logMAR (both p < 0.001). Kmax decreased from 56.11 ± 3.17 D to 54.87 ± 2.86 D, BAD-D improved from 5.62 ± 1.89 to 4.70 ± 1.75, and thinnest pachymetry measured 440.7 ± 21.9 µm at 36 months, corresponding to 97.0% of baseline thickness. Corvis ST-derived deformation behavior shifted toward lower deformation amplitude and higher stiffness parameter at first applanation (SP-A1), but these device-derived parameters should be interpreted as indirect deformation response metrics rather than as direct tissue stiffness measurements. Two clinically significant complications were recorded (2/58 eyes, 3.4%): one sterile corneal infiltrate requiring ring explantation and one case of corneal melting requiring ring explantation and referral for keratoplasty. The findings support sustained 36-month visual, tomographic, and Corvis ST-derived changes after combined treatment, while interpretation remains limited by the retrospective complete-case design, unavailable denominator for cases excluded because of incomplete follow-up, eye-level analysis with bilateral cases, lack of a control group, and indirect nature of Corvis ST-derived biomechanical assessment. Full article

Chronic heat stress poses a major challenge to marine aquaculture, yet its sex-associated molecular basis remains poorly understood in Chinese tongue sole (Cynoglossus semilaevis). Juveniles were exposed to a control temperature (24 °C) or elevated temperature (30 °C) for two months, and liver samples from low-temperature females (LF), high-temperature females (HF), low-temperature males (LM), and high-temperature males (HM) were analyzed by RNA sequencing (RNA-seq) and whole-genome bisulfite sequencing (WGBS). Principal component analysis indicated a strong temperature-associated separation, while sex-related separation under heat stress was smaller and was mainly observed along the second principal component. In high-temperature relative to low-temperature comparisons, females showed a broader set of differentially expressed genes (DEGs; LF vs. HF, 1968) than males (LM vs. HM, 506). Differential methylation analyses indicated that cytosine-guanine (CG) methylation was the predominant heat-associated epigenetic signal. Integrative analysis identified 624 overlapping genes between DEGs and CG-associated differentially methylated genes (CG-DMGs) in females and 177 in males, suggesting broader methylation-associated transcriptional remodeling in females. Functional enrichment associated the female overlap genes with immune response, inflammatory signaling, lipid metabolism, and detoxification, whereas male overlap genes were more closely associated with proteostasis, autophagy, and DNA replication/repair. Correlation analyses suggested modest methylation–expression coupling and highlighted candidate W-linked genes, including H2AZ2 and ANKRD13A. Overall, these results should be regarded as a preliminary baseline for understanding sex-associated molecular responses to chronic heat stress in tongue sole and as a source of candidate genes and pathways for future validation and heat-resilience breeding. Full article

Background/Objectives: Developmental Language Disorder (DLD) is a persistent neurodevelopmental condition with an estimated prevalence of 7% in preschoolers. It is characterized by significant impairments in language acquisition and use, in the absence of an identified biomedical cause. The potential link between DLD and central auditory processing has encouraged the investigation of auditory evoked potentials as research tools; however, the existing literature remains notably dispersed and heterogeneous. To systematically synthesize evidence concerning auditory electrophysiological findings in children with DLD. Methods: Systematic searches were conducted in PubMed, Web of Science, and Scopus for studies published between January 2016 and March 2026. Keywords were combined using AND/OR operators. Two independent reviewers performed screening and data extraction, with discrepancies resolved through consensus. Risk of bias was assessed using the JBI tool for analytical cross-sectional studies. A structured narrative synthesis (SWiM) was applied to the findings. Results: Seven studies were included, with a combined total of 480 participants across all enrolled samples (including DLD, control, and other clinical subgroups), aged 2 years and 11 months to 10 years. The Frequency Following Response (FFR) appeared to show greater sensitivity, with alterations in both temporal components (waves C and D) and spectral components (F0 and F2), particularly under noise conditions. Findings for click-ABR were inconsistent across studies, suggesting limited sensitivity in cases of isolated DLD. Long-latency auditory evoked potentials (N2 and P300) exhibited prolonged latencies, potentially reflecting cortical immaturity and impaired attentional discrimination. The N400 potential suggested delayed or atypical semantic processing in a single investigation. Conclusions: The available evidence points toward a pattern of impairment in individuals with DLD that requires cautious interpretation, potentially encompassing subcortical, cortical, and linguistic encoding. Methodological heterogeneity across studies, combined with the absence of adolescent samples, highlights significant gaps in the current research regarding electrophysiology and DLD. FFR and Long-Latency Auditory Evoked Potentials (LLAEP/P300) assessments may warrant further investigation as auxiliary electrophysiological measures for the characterization of DLD, pending replication in larger and more homogeneous samples. Full article

Road infrastructure managers are increasingly required to ensure adequate pavement performance under constrained financial resources. This has led to the widespread adoption of asset management principles, where infrastructure is evaluated not only from a technical perspective but also in terms of its economic value and the level of service provided to users. Pavement asset value can be understood as a function of two principal components: structural condition, reflecting the load-bearing capacity of the pavement, and user-related performance, primarily influenced by surface characteristics such as roughness. A key limitation of current approaches lies in the simplified representation of deterioration processes, which often fail to capture the full-life-cycle progression of degradation and may lead to inaccurate predictions of pavement condition, user costs, and optimal intervention timing. This paper proposes an integrated framework that links full-life-cycle pavement deterioration modeling with asset value assessment and decision-making processes. The methodology is based on experimentally validated and empirically supported deterioration models derived from accelerated pavement testing and long-term pavement performance monitoring of real road sections. This approach is demonstrated through a case study, illustrating the interaction between structural condition and user-related performance. The results demonstrate how a deterioration model derived from full-life-cycle observations can be incorporated into economic evaluation and resource-allocation processes in pavement management systems. Full article

Background: Early feeding practices are among the most influential determinants of the infant oral microbiota during the first years of life. Breastfeeding provides bioactive components—immunoglobulins, human milk oligosaccharides (HMOs), and commensal bacteria—that may shape microbial colonisation patterns with long-term implications for oral health. However, the nature, magnitude, and clinical relevance of these effects remain poorly characterised, particularly with regard to early childhood caries (ECC) risk. Objectives: The primary objective was to evaluate the association between early feeding practices and oral microbiota composition during infancy. A secondary exploratory objective was to assess whether feeding-associated microbiota differences had been linked to subsequent dental caries outcomes. Methods: A systematic review was conducted in accordance with PRISMA 2020 guidelines. PubMed, Scopus, Web of Science, and Embase were searched from January 2010 to June 2026. Eligible studies compared at least two feeding groups and measured oral microbiota directly using culture-independent methods (16S rRNA gene sequencing, metagenomics, or quantitative PCR targeting multiple taxa). Study selection, data extraction, and risk of bias assessment using the ROBINS-E tool were performed independently. Qualitative synthesis was conducted given clinical and methodological heterogeneity. Results: Of 8582 records identified, 12 studies met the inclusion criteria (sample size range: 12–448 participants; age range at microbiota assessment: 2 days–14 years, although eligibility was based on feeding exposure during infancy; six countries). Most included studies reported differences in oral microbiota composition associated with feeding type. During the first months of life, breastfed infants generally showed lower oral microbial diversity and higher abundance of Lactobacillus, the Streptococcus mitis group and Bifidobacterium compared with formula-fed infants, who exhibited greater alpha diversity, higher transmission of maternal oral bacteria, and higher abundance of Prevotella and Actinomyces. Effects were most pronounced in the first three months of life and attenuated by 12 months in most cohorts. Only one study reported subsequent dental caries outcomes after early-life microbiota assessment, finding that Streptococcus cristatus abundance at three months was associated with dental caries at nine years of age, and that longer breastfeeding duration (≥12 months) was associated with a distinct microbiota profile and lower caries rates in this single available longitudinal study. Risk of bias was low in two studies, moderate in six, and high in four. Publication bias could not be formally evaluated. Conclusions: Early feeding practices are associated with measurable differences in oral microbiota composition during infancy, particularly during the first months of life. However, evidence linking these microbiota differences to subsequent dental caries outcomes remains extremely limited, with only one included study assessing later caries development. Therefore, the clinical significance of feeding-associated microbiota profiles remains uncertain and should be investigated through well-designed prospective longitudinal studies. Full article

Vertically linked commodity markets—global futures, regional spot, and farm-gate prices—transmit information through directed cross-market channels whose strength varies with latent volatility regimes. Standard deep learning forecasters absorb both the directed cross-market dependence and the regime dependence of intrinsic-mode-aligned latent components into shared model weights, with no explicit architectural mechanism that exposes either as an inspectable structure. This paper proposes HVB-RA, a modular framework that combines two such mechanisms with a per-tier Variational Mode Decomposition and bidirectional LSTM backbone: (i) a directed cross-market attention layer in which the upstream-to-downstream topology is supplied from domain knowledge and the time-varying upstream-source attention intensities at the farm-gate tier (the regional-spot tier, with a single upstream key, reduces algebraically to a fixed residual upstream fusion) are extracted from data, and (ii) a regime-informed modal-weighting layer that mixes two trainable softmax weight profiles over IMF-aligned latent components through a filtered Markov-switching state probability fitted in a separate stage. An auxiliary post hoc projection enforces an exact linear constraint defined by long-run sample-mean ratios across tiers; the paper does not claim that these descriptive ratios are cointegrating relations or equilibrium coefficients. The framework is evaluated on three tiers of daily natural-rubber prices spanning 2038 trading days, against three external benchmarks (random walk, ARIMA(2,0,2), and an exogenous-only LSTM) and a contemporary neural hierarchical-interpolation forecaster (NHITS). Root mean squared error is reported per tier-horizon cell; a decision-aware income-smoothing metric quantifies the operational value of $h=5$ farm-gate forecasts under a 5-day selling rule; and a within-method comparison evaluates the marginal contribution of the auxiliary constraint projection. On the present single-regime test window, HVB-RA attains a lower point error than the contemporary NHITS baseline at every tier-horizon cell, while no method—including HVB-RA—improves on the random-walk floor at most cells; the regime-conditional components of the architecture are not identifiable because every calibration and test origin is classified as a high-volatility regime by the trained Markov-switching model. The paper contributes to machine learning and knowledge extraction by demonstrating how time-varying upstream-source attention intensities at the farm-gate tier and regime-dependent latent-component-weight profiles—two forms of latent structure typically absorbed into model weights—can be exposed as explicit, inspectable, and individually testable components of a multi-tier forecasting architecture, and by providing a reproducibility package documenting the conditions under which each component is expected to be identifiable. Full article

Background: Community-based mental health promotion has gained increasing relevance as a strategy to strengthen population well-being and complement formal healthcare services. However, existing initiatives remain fragmented, and their integration into health systems and public policy frameworks has not been systematically examined. This scoping review aimed to map community-based mental health promotion strategies and analyze their alignment with public health systems and policy frameworks. Methods: A scoping review was conducted following the Joanna Briggs Institute methodology and reported according to the PRISMA-ScR guidelines. Searches were conducted in April 2025 across major databases, including Scopus and PubMed, covering studies published between 1990 and 2024. The retrieved records were subsequently reviewed and analyzed by the researchers between 1 May 2025 and September 2025 Documents published after 2024 were used only as contextual or policy references and were not included in the review corpus. Eligibility criteria were defined using the Population–Concept–Context framework. Two reviewers independently screened records and extracted data. Results: A total of 3799 records were identified, of which 76 studies met the inclusion criteria. Most interventions were implemented in school (18.4%) and community (21.1%) settings and focused on strengthening psychosocial skills, social support, and resilience. Common intervention components included community participation, cultural adaptation, and facilitator training. Several strategies were linked to broader public health frameworks, such as primary health care, intersectoral action, and social determinants of health. Reported outcomes were generally positive, although evaluation methods and indicators varied widely. Conclusions: Community-based mental health promotion interventions represent a valuable complement to healthcare systems, particularly in resource-constrained settings. Strengthening their integration into public policies and health system planning may improve sustainability, equity, and population impact. This review highlights key gaps in implementation and evaluation and provides evidence to inform decision-making in community health, prevention, and mental health policy development. Full article

Sea cucumber Apostichopus japonicus is one of the few animals capable of synthesizing saponins, which are critical components of its nutritional quality and health-beneficial properties. However, the specific mechanism underlying saponin biosynthesis in sea cucumbers remains unclear despite previous investigations. This study aimed to characterize the molecular pathway and regulatory mechanism of saponin biosynthesis in A. japonicus. Thirteen candidate genes involved in de novo saponin skeleton synthesis were identified from the A. japonicus genome, and their full-length cDNAs were obtained via PCR-RACE. Sequence analysis predicted the intracellular localization of these genes. Combined in situ hybridization and quantitative real-time PCR analyses revealed their high expression in coelomocytes, indicating coelomocytes as the primary saponin synthesis sites. Knockdown of mevalonate kinase (AjMVK) and two oxidosqualene cyclases (AjPS and AjLS) caused a more obvious decrease in saponin levels, identifying them as key biosynthetic enzymes. Yeast two-hybrid assays revealed that AjPS and AjLS interact with ficolins, complement component 3-2, O-linked β-N-acetylglucosamine transferase, and α-L-fucosidase, whose regulatory effects were further validated by RNA interference and saponin content measurements. These results suggest that saponin biosynthesis in A. japonicus is regulated by the complement lectin pathway and modulated by glycosylation enzymes, providing a molecular foundation for enhancing bioactive saponin production for pharmaceutical and nutraceutical applications. Full article

Extreme precipitation and compound hazards can increase the risk of inundation and accidental release of untreated effluent from water treatment facilities, with potential downstream impacts within a short emergency-response window. Few studies have linked site-scale surface-runoff behavior, feasible emergency-response scenarios, and resilience-based decision support for critical water infrastructure. This study presents a GIS-based scenario-comparison framework that couples high-resolution surface-runoff simulation with an AHP-informed resilience interpretation to evaluate untreated effluent runoff and temporary flood-defense strategies at a water treatment plant in Jeollabuk-do, South Korea. A 1 m digital elevation model derived from drone-based LiDAR data was used in ArcGIS Pro to simulate two-dimensional unsteady surface-runoff propagation, producing water-depth and flow-velocity fields at 30 s intervals over 20 min. Three scenarios were compared under identical topographic, release, and hydraulic assumptions, no response, primary defense-line deployment, and secondary defense-line deployment, adding a 335 m barrier along the downstream road. Under the no-response scenario, released water reached the river after approximately 6 min, with a cumulative river inflow of 329.27 m³. The primary defense line reduced cumulative river inflow by 16.8%, and the secondary defense line by 78.2%, while delaying river arrival to 8 min and 30 s. An approximate surface-water balance and time-series analysis showed that the defense lines primarily redistribute water into temporary upstream storage rather than eliminate it. The simulation-derived indicators were linked to four resilience components whose relative importance was estimated using the Analytic Hierarchy Process (AHP) from 205 expert and practitioner responses, which identified recovery speed as the highest-priority component; the weighted normalized indicators are summarized as a transparent scenario-level composite resilience indicator that increases from the no-response to the primary and secondary defense-line scenarios. Because the stormwater drainage network, pollutant transport, and operational deployment uncertainties were not explicitly modeled, the results should be interpreted as a comparative assessment of water-volume transport risk rather than a deterministic prediction of inundation or pollution impact. Within these stated assumptions, the results indicate that a strategically placed secondary defense line can substantially reduce downstream river inflow and secure additional response time, providing preliminary decision support for disaster-risk reduction and emergency-response planning at critical water infrastructure. Full article

To address head-end three-phase current unbalance and terminal power-quality deterioration caused by uneven three-phase load allocation in a low-voltage transformer area (LVTA), this paper proposes a DC-link-voltage-control-based phase-wise unbalanced power compensation strategy for a head-to-tail flexible interconnection structure embedded in the LVTA. The proposed structure consists of two three-phase four-leg converters sharing a common DC bus and connected to the head end and tail end of the LVTA, respectively. Different from conventional phase-wise compensation methods in which the DC side mainly acts as a power-transfer channel, the proposed strategy uses the DC-link voltage control of the head-end converter as the core of compensation power generation. Specifically, the outer DC-link voltage loop generates the total active compensation power, which is then allocated among the three phases according to the measured phase-power unbalance of the LVTA, thereby yielding the phase-wise compensation current references. Combined with phase-wise quasi-proportional-resonant current control, the compensation currents of different phase legs can be regulated without explicit positive-, negative-, and zero-sequence decomposition. Meanwhile, the tail-end converter adopts PQ control to support terminal power regulation and improve the terminal voltage quality of the LVTA. To provide a theoretical basis for the proposed method, a switching-cycle averaged model of the three-phase four-leg converter is established, and the leg-level phase-wise control characteristics are analyzed under the assumptions of a stiff DC link and symmetrical converter parameters. A control-oriented equivalent LVTA model is developed in MATLAB/Simulink. The proposed strategy is validated under steady-state unbalanced, RL load, load-disturbance, and equivalent feeder-impedance conditions. In addition, a conventional positive-, negative-, and zero-sequence compensation method is introduced as a benchmark for quantitative comparison. The simulation results demonstrate that the proposed method can effectively suppress the head-end three-phase current unbalance, maintain the DC-link voltage around its reference value, and improve the terminal voltage quality of the LVTA. Compared with the conventional sequence-component-based compensation method, the proposed strategy achieves effective unbalance mitigation while avoiding explicit sequence extraction and reducing the complexity of the compensation-current generation process. This study provides a feasible control framework for three-phase unbalance mitigation in flexible low-voltage transformer areas. Full article

Scent marking has been discussed as an important component of communication in brown bears (Ursus arctos Linnaeus, 1758). However, the environmental factors influencing the occurrence of rub trees and their value for non-invasive genetic sampling remain poorly understood. This study examined the patterns of rub tree occurrence in the eastern High Tatra Mountains (Slovakia) at two spatial scales. At the tree scale, paired-design generalized linear mixed models showed that rub trees were more frequently recorded on large-diameter coniferous trees, indicating an association with visually prominent and chemically suitable substrates. At the landscape scale, logistic regression models revealed that the probability of rub tree occurrence increased with elevation and distance from human settlements, identifying high-elevation forests as areas of higher predicted rub tree occurrence. The best-supported model was used to produce a predictive map of rub tree occurrence across the study area. We also evaluated whether rub trees are reliable sources of biological material for non-invasive sampling. Hair collected during repeated field visits provided DNA suitable for genotyping and individual identification. Overall, the results show that rub trees exhibit non-random spatial patterns and represent effective focal points for systematic genetic sampling, linking patterns of rub tree occurrence to the spatial targeting of non-invasive genetic sampling in mountain landscapes. Full article

Decommissioned airfields are increasingly recognized as strategic sites for ecological regeneration, climate adaptation, and the creation of new public spaces. However, research on their transformation has predominantly focused on the environmental performance of Nature-based Solutions (NBS), often overlooking the role of inherited spatial morphology in structuring regeneration processes and outcomes. This paper proposes an AI-assisted, morphology-based proto-ontological framework for analyzing and designing post-airfield architecture. The framework was developed through the inductive and comparative analysis of a corpus of 32 urban post-airfield regeneration projects, from which recurrent inherited morphologies, transformation actions, spatial devices, and NBS were identified and structured into a relational sequence. The framework was then applied to two contrasting case studies: Maurice Rose Airfield Park (Frankfurt) and Xuhui Runway Park (Shanghai); these were selected for their different transformation logics. The results show that similar airfield morphologies can generate markedly different climatic, ecological, social, and memory-related outcomes depending on how they are transformed and linked to NBS. The study demonstrates that inherited airfield morphologies are not passive remnants but operative spatial structures, and that NBS should be understood as spatially embedded and form-generating design components. The proposed proto-ontology offers a transferable analytical model and a basis for future computational and generative design applications. Full article

The respiratory system is directly exposed to various environmental factors, and specifically allergens and environmental pollutants, which are ligands/agonists of the aryl hydrocarbon receptor (AhR) and promote chronic lung diseases in humans. AhR, a ligand-activated transcription factor, is involved in the metabolism of xenobiotics, assigning their carcinogenic and toxic effects, and is also involved in normal homeostasis, organogenesis, and immune system function. Exogenous and endogenous AhR ligands are both high-molecular-weight compounds with a planar structure and low-molecular-weight compounds of diverse chemical structures. After entering the cell, the ligands bind to AhR and induce the activation of signaling cascades. The lung immune system responds to pathogens and environmental toxins first with a pro-inflammatory innate immune response, and then with an anti-inflammatory adaptive immune response. An imbalance between these immune systems may have an effect on the course of the disease. Activation of AhR by exogenous or endogenous ligands can affect this balance and lead to dysregulation of the immune response, leading to inflammatory complications in the lungs. Individual features of AhR expression or components of the AhR-dependent signaling pathway may also play a role in the superposition of the functions of these two links of immunity. This review summarizes advances in the comprehension of AhR’s role in immunomodulation and inflammatory responses in the lungs following data in experimental rodent models, in vitro studies utilizing lung structural cells and isolated immune cell lines, and humans. The molecular mechanisms of AhR’s regulation of immunity and inflammation and the potential of AhR as a therapeutic target for inflammatory lung disease are also considered. Full article