Suppressor of Cytokine Signaling Proteins 3 and 5 Potentially Delineate Polarization of Th cells in Chronic Rhinosinusitis.

Background: Chronic rhinosinusitis (CRS) is an inflammatory condition classified into chronic rhinosinusitis with nasal polyps (CRSwNP) and chronic rhinosinusitis without nasal polyps (CRSsNP). Th cells manage inflammatory cells in CRS. Suppressor of Cytokine Signaling (SOCS) proteins regulate Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway in Th cells by polarizing toward Th1, Th2, and Th17 cells. This study evaluated the levels of SOCS1,3,5 in CRS patients to find associations with Th cells. Methods: In this cross-sectional study, 20 CRSwNP patients, 12 CRSsNP patients, and 12 controls participated. The infiltration of CD4+ T cells was determined using immunohistochemistry. The expression of specific transcription factors and SOCS proteins was assessed using real-time PCR. Cytokine levels were evaluated using ELISA. SOCS protein levels were investigated using western blot analysis. Results: The expression of SOCS3 increased in the CRSwNP group compared to CRSsNP and control groups (p <0.001). SOCS3 protein levels increased in the CRSwNP group compared to CRSsNP (p <0.05) and control (p <0.001) groups. Although there was a significant difference in SOCS5 expression between CRSsNP and control groups, SOCS5 protein levels were significantly different between CRSsNP and control (p <0.001) and CRSwNP (p <0.05) groups. Conclusions: Targeted therapies may be suggested for CRS by modulating SOCS3 and SOCS5 proteins that are responsible for polarization of Th cells toward Th2 or Th1 cells, respectively. JAK-STAT pathway targeting, which encompasses numerous cells, can be limited to SOCS proteins to more effectively orchestrate Th cell differentiation.

Outcomes of biological therapy in patients with severe asthma with chronic rhinosinusitis in Saudi Arabia: patients with nasal polyps versus those without nasal polyps.

BACKGROUND: This study's purposes were to evaluate the impact of biological therapies on outcomes in patients with severe asthma (SA) and chronic rhinosinusitis (CRS) and to compare these effects among those with NP (CRSwNP) versus those without NP (CRSsNP) in the "real-world" setting in Saudi Arabian patients. METHODS: From March to September 2022, a retrospective observational cohort study was undertaken at the severe asthma clinics of the Armed Forces Hospital-Southern Region (AFHSR) and King Khalid University Hospital, Abha, Saudi Arabia, to delineate the effects of dupilumab therapy. Outcomes were assessed, including clinical outcomes, FEV1, and laboratory findings before and one year after dupilumab. Post-therapy effects were compared between CRSwNP and CRSsNP. RESULTS: Fifty subjects were enrolled, with a mean age of 46.56. There were 27 (54%) females and 23(46%) males. Significant improvements in clinical parameters (frequency of asthma exacerbations and hospitalizations, the use of OCs, anosmia, SNOTT-22, and the ACT), FEV1, and laboratory ones (serum IgE and eosinophilic count) were observed 6 and 12 months after using dupilumab (p < 0.001), respectively. However, after 12 months of dupilumab therapy, there were no significant differences between those with and without NP with regards to clinical (anosmia, ACT, and OCs use), laboratory (eosinophilic count, serum IgE level) parameters, and FEV1%. CONCLUSIONS: Patients with CRS experienced significant improvements in clinical, FEV1, and laboratory outcomes after dupilumab therapy. However, these improvements were not maintained when comparing CRSwNP with CRSsNP. There were no significant differences between those with and without NP regarding ACT and OCs use or laboratory (eosinophilic count, serum IgE level) parameters. Further prospective multicenter studies are warranted.

[Exploration of prognostic models for chronic rhinosinusitis with nasal polyps based on machine learning].

Objective: To analysis the molecular characteristics of chronic rhinosinusitis with nasal polyps (CRSwNP), to unravel its pathophysiological mechanisms, and to develop a prognostic model capable of effectively predicting postoperative recurrence. Methods: The data from three datasets (GSE198950, GSE179265, and GSE136825) were integrated, comprising 39 control cases, 16 cases of chronic rhinosinusitis without nasal polyps, and 89 cases of CRSwNP. Differential expression genes (DEGs) were identified based on adjusted P<0.05 and Log2FC>1. KEGG and GO enrichment analyses, as well as STRING node scoring, were conducted. Variable selection was performed using random forest and least absolute shrinkage and selection operator regression (LASSO), with key nodes identified through intersection analysis. Mann-Whitney U test was applied, and variables with P<0.05 were included in the model. A prognostic model for CRSwNP was constructed using logistic regression, externally validated using RNA-seq data, and evaluated with receiver operating characteristic (ROC) curve analysis to calculate the area under the curve (AUC). Results: This research illustrated both upregulated and downregulated DEGs in CRSwNP, activating pathways like neuroactive ligand-receptor interaction and IL-17 signaling, while inhibiting calcium signaling and gap junctions. Key nodes identified through random forest and LASSO, including G protein subunit γ4 (U=3.00 P=0.028), Cholecystokinin (U=0.50, P=0.006), Epidermal growth factor (U=1.00 P=0.008), and Neurexin-1 (U=0.00, P=0.004), showing statistical significance in external validation. The prognostic model, visualized in a line graph, exhibited high reliability (C-index=0.875,AUC=0.866). The ROC curve in external validation indicated its effectiveness in predicting postoperative recurrence (AUC=0.859). Conclusions: This study integrates multiple datasets on CRSwNP to provide a comprehensive description of its molecular features. The prognostic model, built upon key nodes identified through random forest and LASSO analyses, demonstrates high accuracy in both internal and external validations, thus providing robust support for the development of personalized treatment strategies for CRSwNP.

[Single-cell transcriptomic sequencing coupled with Mendelian randomization analysis elucidates the pivotal role of CTSC in chronic rhinosinusitis].

Objective: To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs. Methods: Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing. Results: An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the "yellow module" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes (CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC+cells in CRS. Conclusion: This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.

[Identification of oxidative stress-related biomarkers in chronic rhinosinusitis with nasal polyps using WGCNA combined with machine learning algorithms].

Objective: To identify diagnostic markers related to oxidative stress in chronic rhinosinusitis with nasal polyps (CRSwNP) by analyzing transcriptome sequencing data, and to investigate their roles in CRSwNP. Methods: Utilizing four CRSwNP sequencing datasets, differentially expressed genes (DEGs) analysis, weighted gene co-expression network analysis (WGCNA), and three machine learning methods for Hub gene selection were performed in this study. Subsequent validation was carried out using external datasets, as well as real-time quantitative polymerase chain reaction (Real-time qPCR), and immunofluorescence staining of clinical samples. Moreover, the diagnostic efficacy of the genes was assessed by receiver operating characteristic (ROC) curve, followed by functional and pathway enrichment analysis, immune-related analysis, and cell population localization. Additionally, a competing endogenous RNA (CeRNA) network was constructed to predict potential drug targets. Statistical analysis and plotting were conducted using SPSS 26.0 and Graphpad Prism9 software. Results: Through data analysis and clinical validation, CP, SERPINF1 and GSTO2 were identified among 4 138 DEGs as oxidative stress markers related to CRSwNP. Specifically, the expression of CP and SERPINF1 increased in CRSwNP, whereas that of GSTO2 decreased, with statistically significant differences (P<0.05). Additionally, an area under the curve (AUC)>0.7 indicated their effectiveness as diagnostic indicators. Importantly, functional analysis indicated that these genes were mainly related to lipid metabolism, cell adhesion migration, and immunity. Single-cell data analysis revealed that SERPINF1 was mainly distributed in epithelial cells, stromal cells, and fibroblasts, while CP was primarily located in epithelial cells, and GSTO2 was minimally present in the epithelial cells and fibroblasts of nasal polyps. Consequently, a CeRNA regulatory network was constructed for the genes CP and GSTO2. This construction allowed for the prediction of potential drugs that could target CP. Conclusion: This study successfully identifies CP, SERPINF1 and GSTO2 as diagnostic and therapeutic markers related to oxidative stress in CRSwNP.

[Characterizing immune microenvironment cell composition of chronic rhinosinusitis with nasal polyps based on mass cytometry technology].

Objective: To analyze the cellular composition characteristics of the nasal tissue immune microenvironment in patients with control, chronic rhinosinusitis without nasal polyps (CRSsNP), non-eosinophilic chronic rhinosinusitis with nasal polyps (neCRSwNP), and eosinophilic chronic rhinosinusitis with nasal polyps (eCRSwNP) using mass cytometry flow technology. Methods: Thirteen CRS patients who underwent endoscopic nasal surgery at the Department of Otorhinolaryngology Head and Neck Surgery of Peking Union Medical College Hospital from March to December 2022 were recruited, including 8 males and 5 females, aged 22.3 to 58.3 years. Three control mucosae were obtained from normal ethmoid or sphenoid sinuses of patients with benign tumors of the temporal fossa or non-functional pituitary adenomas who underwent endoscopic surgery, excluding allergic rhinitis and sinusitis. Sixteen clinical tissue samples (3 of control, 3 of CRSsNP, 4 of neCRSwNP, and 6 of eCRSwNP) were prepared into single-cell suspensions. Mass cytometry flow detection was performed using a combination of 42 molecular markers to analyze the differences in cell subpopulations among the groups. Data were analyzed using GraphPad Prism 9. Results: Based on the mass cytometry flow results, cells from control, CRSsNP, neCRSwNP, and eCRSwNP were divided into seven main cell subgroups, with detailed subgrouping of T/NK cells and myeloid cells. In T/NK cells, compared with the control group, the number of NK CD56bright cells increased in the CRSsNP group, while NK CD56dim cells decreased; compared with the CRSsNP group, the eCRSwNP group showed a decrease in NKT cells and CD4+Tem cells; compared with the CRSsNP group, the eCRSwNP group showed a significant increase in CD25 expression within Treg cells; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in Tbet expression in CD8+Teff cells and CD8+TRM cells; in eCRSwNP, the expression of CD103 in CD8+TRM cells was significantly lower than in CRSsNP. In myeloid cells, compared with the other three groups, the eCRSwNP group showed a significant increase in macrophages and a significant decrease in cDC1 and monocytes; compared with the control group and CRSsNP, the eCRSwNP group also showed a significant decrease in resting state macrophages; compared with the CRSsNP group, the eCRSwNP group showed a significant decrease in the level of CX3CR1 within cDC2 and monocytes; the expression levels of NLRP3 in cDC2 and macrophages in the eCRSwNP group were significantly higher than in the other three groups; compared with the control group, the expression levels of Gata3 in cDC2 and macrophages in the eCRSwNP group were also significantly increased; additionally, the expression of CCR2 within monocytes in the eCRSwNP group was lower than in the CRSsNP group. In ILC, compared with the control group, the expression of CCR6 decreased in the eCRSwNP group. Conclusions: Compared with the control group, CRSsNP, and neCRSwNP, eCRSwNP shows an increase in macrophage number, a decrease in cDC1 and resting state macrophages, and depletion of protective cells CD103+CD8+TRM. Additionally, the expression levels of CCR2 and CX3CR1 in monocytes of eCRSwNP are decreased.

[The value of CT radiomics in predicting treatment outcomes in patients with nasal polyps].

Objective: To evaluate the predictive efficacy of sinus CT radiomics for treatment outcomes in nasal polyp patients undergoing endoscopic sinus surgery. Methods: A retrospective cohort study was conducted at the First Affiliated Hospital of Sun Yat-sen University, including 194 patients with nasal polyps treated between January 2015 and December 2019. The cohort comprised 132 males and 62 females, aged 16 to 75 years. Patients were divided into a training set (n=135) and an internal validation set (n=59). An external validation set (n=34), consisting of 22 males and 12 females aged 16 to 59 years, was included from January 2020 to December 2021. Disease control was evaluated using the criteria from the European Position Paper on Rhinosinusitis and Nasal Polyps 2020 (EPOS 2020). Radiomic features were extracted from sinus CT images and analyzed using the least absolute shrinkage and selection operator (LASSO) regression. Models combining radiomic and clinical features were developed to predict treatment efficacy. Results: The radiomics and combined models, based on four selected features, outperformed the clinical feature model in the training set, with AUC values of 0.901 and 0.915, versus 0.874, respectively. In the internal validation set, AUCs were 0.839, 0.832, and 0.716. Despite reduced AUCs in the external set, the radiomics model maintained good generalizability (0.748, 0.764, 0.620). Decision curve analysis showed significant clinical benefits in both radiomics and combined models. Conclusion: The CT-based radiomics model demonstrates significant predictive power in identifying refractory nasal polyps, suggesting its potential for clinical application in treatment outcome prediction.

[Unsupervised clustering analysis based on multidimensional features reveals distinct clinical characteristics and associated factors of different phenotypes in patients with chronic rhinosinusitis with nasal polyp].

Objective: To utilize routinely available clinical parameters to uncover the clinical features of different clusters in patients with chronic rhinosinusitis with nasal polyp (CRSwNP) through unsupervised clustering analysis. Methods: The clinical data from 155 CRSwNP patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University from 2021 to 2023 were prospectively collected, including 112 males and 43 females, aged from 7 to 87 years. Unsupervised clustering analysis was conducted using various clinical parameters, including age, gender, smoking and drinking history, local eosinophil (EOS) and neutrophil (NEU) counts, comorbid allergic rhinitis (AR), comorbid asthma, recurrence status, serum-specific IgE, total IgE, cytokine levels, peripheral blood EOS count and percentage, Lund-Mackay CT score, the ratio of CT scores for the maxillary sinus and ethmoid sinus (E/M ratio), visual analogue scale (VAS) score, Lund-Kennedy endoscopic score, and other common clinical indicators to elucidate the clinical characteristics of each cluster. Statistical analysis was conducted using GraphPad Prism 9.5 software. Results: Hierarchical clustering analysis identified four main clusters (Cluster A1-A4), showcasing distinct characteristics such as mild nasal polyps with higher peripheral blood cytokines levels, nasal polyps accompanied by allergies and asthma, a subtype of nasal polyps with high recurrence rates dominated by neutrophils, and nasal polyps with high eosinophil levels. Further subset clustering revealed two clusters of mild polyps (Cluster B1-B2) featuring high cytokine expression and comorbid AR; and two clusters of severe polyps (Cluster B3-B4) presented with severe symptoms, high Lund-Mackay CT score, and high Lund-Kennedy endoscopic score. Variations between Cluster B3 and B4 included symptom complexity, the degree of eosinophil infiltration, and the probability of comorbid asthma. Further clustering analysis for eosinophilic nasal polyps revealed a cluster characterized by highly neutrophilic infiltration and recurrent nasal polyps. The comprehensive analysis of multi-index correlations demonstrated valuable insights into the relationships between common clinical parameters of nasal polyps, providing valuable information for a deeper understanding of the pathogenesis of CRSwNP. Conclusion: The clustering analysis in this study categorizes CRSwNP patients into different clusters based on clinical features and disease outcomes, providing a new perspective for more precise clinical treatment strategies.

CHI3L1 on fibrinolytic system imbalance in chronic rhinosinusitis with nasal polyp.

Background: Chronic rhinosinusitis (CRS) is an inflammatory disease affecting more than 10% of the global adult population. It is classified into Th1, Th2, and Th17 endotypes and eosinophilic and non-eosinophilic types. Th2-based inflammation and eosinophilic CRS (ECRS) are associated with tissue remodeling and fibrinolytic system impairment. Objective: To elucidate the role of eosinophils in inducing fibrin deposition in CRS nasal polyp tissues and explore potential regulatory mechanisms. Methods: We analyzed the expression of genes related to the serpin family and fibrinolytic system using Gene Expression Omnibus and Next-generation sequencing data. Differentially expression genes (DEGs) analysis was used to compare control and nasal polyp tissues, followed by KEGG and Gene ontology (GO) analysis. We measured the expression and correlation of plasminogen activator-1 (PAI-1), tissue plasminogen activator (t-PA), urokinase plasminogen activator (u-PA), and urokinase plasminogen activator surface receptor (u-PAR) in CRS tissues, and evaluated the effect of eosinophils on the fibrinolytic system using a cytokine array and co-culture. Results: Nasal polyp tissues showed upregulated PAI-1, u-PA, and u-PAR expression and downregulated t-PA expression. Fibrinolytic system-related genes positively correlated with Th2 cytokines, except for t-PA. Eosinophil-derived Chitinase-3-like protein 1 (CHI3L1) increased PAI-1 expression and decreased t-PA levels in fibroblasts and epithelial cells. The inhibition of CHI3L1 suppresses these alterations. Conclusion: CHI3L1 contributes to fibrin deposition by impairing the fibrinolytic system during nasal polyp formation. The regulation of CHI3L1 expression may inhibit fibrin deposition and edema in ECRS, presenting a potential treatment for this condition.

[New manifestation of a type 2-inflammation in the upper respiratory tract with nasal polyposis under treatment with an asthma biologic]. / Neumanifestation einer Typ-2-Inflammation im Bereich der oberen Atemwege mit Polyposis nasi unter einem Asthmabiologikum.

INTRODUCTION: For 7 years we gained experience of how asthma and chronic rhinosinusitis with nasal polyposis respond to biologics. In contrast, it is much less known, how ASA/NSAID intolerance (Widal's disease) behaves under biologicals. We therefore describe the case of a patient with both clinical conditions who reacted with a severe intolerance reaction under perioperative metamizole administration.

Inflammatory Cytokines in Middle Ear Effusion of Patients With Asthma, Chronic Rhinosinusitis With Nasal Polyps With or Without NSAID Intolerance.

OBJECTIVE: To measure the inflammatory cytokines of middle ear effusion (MEE) in otitis media (OM) associated with asthma and chronic rhinosinusitis with nasal polyps (CRSwNP) with or without nonsteroidal anti-inflammatory drug (NSAID) sensitivity to strengthen our assumption that OM is part of the same inflammatory entity. The potential individual differences between MEE inflammatory cytokines could be used in clinical practice for more individual characterization of the inflammation. STUDY DESIGN: Case-control study. SETTING: Tertiary referral center. PATIENTS: Convenience sample of 24 case patients with otitis media with effusion (OME) or chronic otitis media (COM), asthma, and CRSwNP, 14 of whom had NSAID intolerance, and 8 controls with OME but no history of asthma, CRSwNP, or NSAID intolerance. INTERVENTION: Diagnostic. MAIN OUTCOME AND MEASURE: Inflammatory cytokines including interleukins (IL)-4, IL-5, IL-6, IL-13, and interferon gamma (IFN-γ) in middle ear effusion. RESULTS: The MEE mass fractions of IL-5 ( p = 0.003) and IFN-γ ( p = 0.048) were higher among our case patients with OME/COM than among the controls. For IL-4 and IL-13, the mass fractions were also higher among the case patients than the controls, but this difference was not statistically significant ( p = 0.199 and p = 0.617, respectively). We found no difference between the IL-6 mass fractions of the groups. We found notable heterogeneity in individual patients' cytokine levels. CONCLUSIONS: According to our findings, OM, when present, should be considered part of the respiratory inflammatory process associated with asthma and CRSwNP. The individual differences in MEE cytokine levels could be useful as biomarkers.

The role of autophagy regulated by the PI3K/AKT/mTOR pathway and innate lymphoid cells in eosinophilic chronic sinusitis with nasal polyps.

BACKGROUND: The PI3K/Akt/mTOR pathway and autophagy are important physiological processes. But their roles in eCRSwNP remains controversial. METHODS: In this study, we used the eCRSwNP mouse model, PI3K/Akt/mTOR pathway inhibitors, and autophagy inhibitors and activators to investigate the regulatory effects of the PI3K/Akt/mTOR pathway on autophagy, and their effects on eosinophilic inflammation, and tissue remodeling. The role of ILC2s in eCRSwNP was also studied, and the relationship between ILC2s and autophagy was preliminarily determined. RESULTS: Our results show that eosinophilic inflammation in eCRSwNP mice could be inhibited by promoting the autophagy; otherwise, eosinophilic inflammation could be promoted. Meanwhile, inhibition of the PI3K/Akt/mTOR pathway can further promote autophagy and inhibit eosinophilic inflammation. Meanwhile, inhibiting the PI3K/Akt/mTOR pathway and promoting autophagy can reduce the number of ILC2s and the severity of tissue remodeling in the nasal polyps of eCRSwNP mice. CONCLUSIONS: We conclude that the PI3K/Akt/mTOR pathway plays roles in eosinophilic inflammation and tissue remodeling of eCRSwNP, in part by regulating the level of autophagy. The downregulation of autophagy is a pathogenesis of eCRSwNP; therefore, the recovery of normal autophagy levels might be a new target for eCRSwNP therapy. Furthermore, autophagy might inhibit eosinophilic inflammation and tissue remodeling, in part by reducing the number of ILC2s.

Immunological characteristics of CD103+CD161+ T lymphocytes on chronic rhinosinusitis with nasal polyps.

Chronic rhinosinusitis with nasal polyps (CRSwNPs) is a heterogeneous disease characterized by local inflammation of the upper airway and sinus mucosa. T cell-mediated immune responses play irreplaceable roles in the pathogenesis of nasal polyps. CD161+ T cells have been implicated in the pathology of several diseases through cytokine production and cytotoxic activity. However, the immunological characteristics of CD161+ T cells in nasal mucosa are still not well understood, particularly in CRSwNPs. Our research revealed a notable enrichment of CD161+ T cells in nasal tissues compared to peripheral blood, with a significantly more infiltration of CD161+ T cells in CRSwNPs compared to control nasal samples. Phenotypical analysis found that CD161+ T cells predominantly co-expressed tissue-resident memory surface markers CD103, CD69, and CD45RO. CD161+CD103+ T cells demonstrated complicated effector functions, marked by elevated levels of PD-1, CTLA-4, IL-17, and IFN-γ and diminished expression of FoxP3 and CD25. Interestingly, despite CD161+ T cells was more abundant in polyp tissues compared to normal control tissues, and then further categorizing polyp samples into distinct groups based on clinical characteristics, only the recurrent CRSwNP group showed a significant reduction in CD161+CD8+ T cells compared to the primary CRSwNP group. This finding suggested the necessity for further research to comprehensively understand the underlying mechanisms and the broader significance of CD161+ T cells in the advancement and relapse of CRSwNPs.

Antibody-based therapeutics for chronic rhinosinusitis with nasal polyps.

INTRODUCTION: Chronic rhinosinusitis with nasal polyps (CRSwNP) is a prevalent inflammatory condition with heterogenous underlying endotypes, the most common being type 2 mediated inflammation. Several biologics have been developed to target specific pro-inflammatory cytokines and their receptors with proven efficacy in both quantitative and qualitative outcomes in patients with severe uncontrolled disease. However, there is an ongoing debate on the role of biologics relative to conventional therapies for CRSwNP and their efficacy in patient subgroups with non-polyp type 2 disease. AREAS COVERED: This review examines the evidence on the efficacy and safety of biologics in CRSwNP, recommendations for their use, and discusses the broader economic factors influencing their application in clinical practice. EXPERT OPINION: Emerging real-life data demonstrating the variable efficacy of the available biologics for patients with CRSwNP, coupled with the high cost compared to conventional therapies such as surgery, renders biologics to be considered as an add-on therapy in the majority of cases. However, ongoing research into increasing biologic dose intervals and novel therapies targeting alternative pathways may offer a more cost-effective and sustainable option in future.

Air pollution, genetic factors, and chronic rhinosinusitis: A prospective study in the UK Biobank.

BACKGROUND: Chronic rhinosinusitis (CRS) is a prevalent upper respiratory condition that manifests in two primary subtypes: CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP). While previous studies indicate a correlation between air pollution and CRS, the role of genetic predisposition in this relationship remains largely unexplored. We hypothesized that higher air pollution exposure would lead to the development of CRS, and that genetic susceptibility might modify this association. METHODS: This cohort study involving 367,298 adult participants from the UK Biobank, followed from March 2006 to October 2021. Air pollution metrics were estimated at residential locations using land-use regression models. Cox proportional hazard models were employed to explore the associations between air pollution exposure and CRS, CRSwNP, and CRSsNP. A polygenic risk score (PRS) was constructed to evaluate the joint effect of air pollution and genetic predisposition on the development of CRS. RESULTS: We found that the risk of CRS increased under long-term exposure to PM2.5 [the hazard ratios (HRs) with 95 % CIs: 1.59 (1.26-2.01)], PM10 [1.64 (1.26-2.12)], NO2 [1.11 (1.04-1.17)], and NOx [1.18 (1.12-1.25)], respectively. These effects were more pronounced among participants with CRSwNP, although the differences were not statistically significant. Additionally, we found that the risks for CRS and CRSwNP increased in a graded manner among participants with higher PRS or higher exposure to PM2.5, PM10, or NOx concentrations. However, no multiplicative or additive interactions were observed. CONCLUSIONS: Long-term exposure to air pollution increases the risk of CRS, particularly CRSwNP underscoring the need to prioritize clean air initiatives and environmental regulations.

A multi-view fusion lightweight network for CRSwNPs prediction on CT images.

Accurate preoperative differentiation of the chronic rhinosinusitis (CRS) endotype between eosinophilic CRS (eCRS) and non-eosinophilic CRS (non-eCRS) is an important topic in predicting postoperative outcomes and administering personalized treatment. To this end, we have constructed a sinus CT dataset, which comprises CT scan data and pathological biopsy results from 192 patients of chronic rhinosinusitis with nasal polyps (CRSwNP), treated at the Second Affiliated Hospital of Shantou University Medical College between 2020 and 2022. To differentiate CRSwNP endotype on preoperative CT and improve efficiency at the same time, we developed a multi-view fusion model that contains a mini-architecture with each network of 10 layers by modifying the deep residual neural network. The proposed model is trained on a training set and evaluated on a test set. The multi-view deep learning fusion model achieved the area under the receiver-operating characteristics curve (AUC) of 0.991, accuracy of 0.965 and F1-Score of 0.970 in test set. We compared the performance of the mini-architecture with other lightweight networks on the same Sinus CT dataset. The experimental results demonstrate that the developed ResMini architecture contribute to competitive CRSwNP endotype identification modeling in terms of accuracy and parameter number.

[A comparative study of the effectiveness of azoximer bromide and surgery on the quality of the life of patients with chronic rhinosinusitis without nasal polyps]. / Sravnitel'naya otsenka vliyaniya azoksimera bromida i khirurgicheskogo lecheniya na kachestvo zhizni patsientov s khronicheskim rinosinusitom bez polipov.

OBJECTIVE: The aim of this study was to compare the effects of azoximer bromide and surgery on the quality of life of patients with chronic rhinosinusitis (CRS) without polyps. We also wanted to examine changes in the patient's emotional state and the nature of their complaints. MATERIAL AND METHODS: The results of using the Visual Analogue Scale (VAS) and the Sino-Nasal Outcome Test-22 (SNOT-22) questionnaire in patients with CRS without severe or moderate-severe polyps, before treatment and 3 months after treatment, are presented. Patients, depending on their choice, were treated with functional endoscopic intervention or a course of 6 mg/ml azoximer bromide (1 ml per day, a course of at least 10 days). RESULTS: The median [interquartile range] score for VAS in patients before azoximer bromide treatment was 6.7 [6.3; 7.05] points, after treatment 4.2 [3.50; 4.70] points. The median [interquartile range] of VAS scores in patients before surgical treatment was 6.4 [6.1; 6.9] points, and after 4.8 [4.50; 5.30] points. The median [interquartile range] of the SNOT-22 score before azoximer bromide treatment was 33 [32; 36] points, after treatment - 24 [22; 25] points. The median [interquartile range] of the SNOT-22 score before surgery was 34 [32; 36] points, after treatment - 19 [18; 21.25] points. CONCLUSION: Azoximer bromide treatment and surgery improve the quality of life of patients with CRS (according to the visual analog scale and all SNOT-22 domains) during a control survey after 3 months (p<0.001). Surgical treatment has a stronger impact on the quality of life, which is more noticeable in the influence on the domains "Rhinological symptoms", "Extranasal symptoms", "Ear/facial symptoms" (p<0.05). According to the domains "Psychological dysfunction", "Sleep dysfunction", surgical intervention had no advantages in affecting the quality of life, compared with taking azoximer bromide (p<0.05).

[Problems of polypragmasia and drug interaction in the treatment of uncomplicated acute rhinosinusitis]. / Problemy polipragmazii i lekarstvennogo vzaimodeistviya v terapii neoslozhnennogo ostrogo rinosinusita.

This publication discusses polypragmasia and drug interactions in the treatment of uncomplicated acute rhinosinusitis in children and adults. Treatment of rhinosinusitis on an outpatient basis in multimorbid patients may be accompanied by multiple prescriptions, which increases the risk of drug interactions. The article reflects the most significant inappropriate combinations of both medicines and biologically active additives, herbal preparations. The advantages of using drugs with proven effectiveness, in particular intranasal glucocorticosteroids, are considered.

Deep learning model for differentiating nasal cavity masses based on nasal endoscopy images.

BACKGROUND: Nasal polyps and inverted papillomas often look similar. Clinically, it is difficult to distinguish the masses by endoscopic examination. Therefore, in this study, we aimed to develop a deep learning algorithm for computer-aided diagnosis of nasal endoscopic images, which may provide a more accurate clinical diagnosis before pathologic confirmation of the nasal masses. METHODS: By performing deep learning of nasal endoscope images, we evaluated our computer-aided diagnosis system's assessment ability for nasal polyps and inverted papilloma and the feasibility of their clinical application. We used curriculum learning pre-trained with patches of nasal endoscopic images and full-sized images. The proposed model's performance for classifying nasal polyps, inverted papilloma, and normal tissue was analyzed using five-fold cross-validation. RESULTS: The normal scores for our best-performing network were 0.9520 for recall, 0.7900 for precision, 0.8648 for F1-score, 0.97 for the area under the curve, and 0.8273 for accuracy. For nasal polyps, the best performance was 0.8162, 0.8496, 0.8409, 0.89, and 0.8273, respectively, for recall, precision, F1-score, area under the curve, and accuracy. Finally, for inverted papilloma, the best performance was obtained for recall, precision, F1-score, area under the curve, and accuracy values of 0.5172, 0.8125, 0.6122, 0.83, and 0.8273, respectively. CONCLUSION: Although there were some misclassifications, the results of gradient-weighted class activation mapping were generally consistent with the areas under the curve determined by otolaryngologists. These results suggest that the convolutional neural network is highly reliable in resolving lesion locations in nasal endoscopic images.