Computational identification and experimental verification of a novel signature based on SARS-CoV-2-related genes for predicting prognosis, immune microenvironment and therapeutic strategies in lung adenocarcinoma patients.

Background: Early research indicates that cancer patients are more vulnerable to adverse outcomes and mortality when infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Nonetheless, the specific attributes of SARS-CoV-2 in lung Adenocarcinoma (LUAD) have not been extensively and methodically examined. Methods: We acquired 322 SARS-CoV-2 infection-related genes (CRGs) from the Human Protein Atlas database. Using an integrative machine learning approach with 10 algorithms, we developed a SARS-CoV-2 score (Cov-2S) signature across The Cancer Genome Atlas and datasets GSE72094, GSE68465, and GSE31210. Comprehensive multi-omics analysis, including assessments of genetic mutations and copy number variations, was conducted to deepen our understanding of the prognosis signature. We also analyzed the response of different Cov-2S subgroups to immunotherapy and identified targeted drugs for these subgroups, advancing personalized medicine strategies. The expression of Cov-2S genes was confirmed through qRT-PCR, with GGH emerging as a critical gene for further functional studies to elucidate its role in LUAD. Results: Out of 34 differentially expressed CRGs identified, 16 correlated with overall survival. We utilized 10 machine learning algorithms, creating 101 combinations, and selected the RFS as the optimal algorithm for constructing a Cov-2S based on the average C-index across four cohorts. This was achieved after integrating several essential clinicopathological features and 58 established signatures. We observed significant differences in biological functions and immune cell statuses within the tumor microenvironments of high and low Cov-2S groups. Notably, patients with a lower Cov-2S showed enhanced sensitivity to immunotherapy. We also identified five potential drugs targeting Cov-2S. In vitro experiments revealed a significant upregulation of GGH in LUAD, and its knockdown markedly inhibited tumor cell proliferation, migration, and invasion. Conclusion: Our research has pioneered the development of a consensus Cov-2S signature by employing an innovative approach with 10 machine learning algorithms for LUAD. Cov-2S reliably forecasts the prognosis, mirrors the tumor's local immune condition, and supports clinical decision-making in tumor therapies.

[The auxiliary diagnostic value of ECP and MPO expression in nasal secretions in different types of rhinitis].

Objective:To evaluate the expression of eosinophil cationic protein and myeloperoxidase in nasal secretions in different types of rhinitis, and to explore their values in the differential diagnosis of different types of rhinitis. Methods:Six hundred and eighty-four subjects were selected, including 62 subjects in the acute rhinitis group, 378 subjects in the allergic rhinitis group, 94 subjects in the vasomotor rhinitis group, 70 subjects in the eosinophilic non-allergic rhinitis group, and 80 subjects in the control group. Nasal secretion samples were collected from the five groups, and the percentages of inflammatory cells were counted by Rachel's staining, and the expression of ECP/MPO was detected by colloidal gold assay. The correlation between the clinical diagnosis, the inflammatory cells in the nasal secretions and the expression of ECP/MPO was analyzed. Results:Nasal cytological smears showed that compared with the control group, the percentage of eosinophils in the AR and NARES groups were significantly higher （P<0.05）, while the percentage of neutrophils was not different （P>0.05）; the percentage of neutrophils was significantly higher in the acute rhinitis group compared with the control group （P<0.05）, while the percentage of eosinophils was not statistically different （P>0.05）; in vasomotor rhinitis group, the eosinophils and neutrophils were not statistically different compared with the control group（P> 0.05）. The colloidal gold results showed that there were differences in the expression of ECP/MPO in different types of rhinitis, among which 49 cases （79.0%） in the acute rhinitis group expressed ECP+/MPO+; 267 cases （70.6%） in the AR group and 56 cases （75.7%） in the NARES group expressed ECP+/MPO-; 80 cases （85.1%） in the vasomotor rhinitis group and 69 cases （86.3%） in the control group expressed ECP-/MPO-. Conclusion:The differences in ECP and MPO expression between different types of rhinitis have certain reference value for the differential diagnosis of different types of rhinitis and the selection of treatment programs.

Fecal Microbiota Transplantation Alleviates Allergic Rhinitis via CD4+ T Cell Modulation Through Gut Microbiota Restoration.

Allergic rhinitis (AR) is an allergic condition of the upper respiratory tract with a complex pathogenesis, including epithelial barrier disruption, immune regulation, and gut microbiota, which is not yet fully understood. Gut microbiota is closely linked to allergic diseases, including AR. Fecal microbiota transplantation (FMT) has recently been recognized as a potentially effective therapy for allergic diseases. However, the efficacy and mechanism of action of FMT in AR remain unknown. Herein, we aimed to observe the implications of gut microbiota on epithelial barrier function and T cell homeostasis, as well as the effect of FMT in AR, using the ovalbumin (OVA)-induced AR mice. The intestinal microbiota of recipient mice was cleared using an antibiotic cocktail; thereafter, FMT was performed. Subsequently, the nasal symptom scores and histopathological features of colon and nasal mucosa tissues of mice were monitored, and serum OVA-sIgE and cytokines of IL-4, IFNγ, IL-17A, and IL-10 cytokine concentrations were examined. Thereafter, tight junction protein and CD4+ T cell-related transcription factor and cytokine expressions were observed in the colon and nasal mucosa, and changes in the expression of PI3K/AKT/mTOR and NFκB signaling pathway were detected by WB assay in each group. Fecal DNA was extracted from the four mice groups for high-throughput 16S rRNA sequencing. FMT ameliorated nasal symptoms and reduced nasal mucosal inflammation in AR mice. Moreover, according to 16S rRNA sequencing, FMT restored the disordered gut microbiota in AR mice. Following FMT, ZO-1 and claudin-1 and Th1/Th2/Th17-related transcription factor and cytokine expressions were upregulated, whereas Treg cell-related Foxp3 and IL-10 expressions were downregulated. Mechanistic studies have revealed that FMT also inhibited PI3K/AKT/mTOR and NF-κB pathway protein phosphorylation in AR mouse tissues. FMT alleviates allergic inflammation in AR by repairing the epithelial barrier and modulating CD4+ T cell balance and exerts anti-inflammatory effects through the PI3K/AKT/mTOR and NF-κB signaling pathways. Moreover, gut microbiota disorders are involved in AR pathogenesis. Disturbed gut microbiota causes an altered immune-inflammatory state in mice and increases susceptibility to AR. This study suggested the regulatory role of the gut-nose axis in the pathogenesis of AR is an emerging field, which provides novel directions and ideas for the treatment of AR.

Copper-Catalyzed Asymmetric Allylation of N-Aryl Aldimines.

The copper-catalyzed enantioselective allylation reaction of N-aryl aldimines has been developed using a combination of Cu(OAc)2 and SPINOL-based phosphonamidite. This protocol significantly broadens the substrate scope, such that imines bearing various ortho-substituents on the N-aryl were converted smoothly into homoallylic amines in up to 99% yield and 98% ee. Taking advantage of the diversity of the N-aryl motif, three kinds of N-heterocyclic compounds were constructed, respectively, from the corresponding homoallylic amines in merely one step.

Inflammatory endotypes of adenoidal hypertrophy based on a cluster analysis of biomarkers.

OBJECTIVE: To identify adenoid inflammatory endotypes based on inflammatory markers, match endotypes to phenotypes, and predict endotypes. METHODS: This cross-sectional study included 72 children with adenoid hypertrophy. Thirteen inflammatory markers and total immunoglobulin E (TIgE) in adenoid tissue were analyzed using Luminex and enzyme-linked immunosorbent assay (ELISA) for performing cluster analysis. Correlation analysis was used to examine the characteristics of each cluster. Receiver operating characteristic (ROC) curve analysis was performed to screen for preoperative characteristic data with predictive value for adenoid inflammation endotype. RESULTS: The patients were divided into four clusters. Cluster 1 exhibited non-type 2 signatures with low inflammatory marker concentrations, except for the highest expression of Th1-related cytokines. Cluster 2 showed a non-type 2 endotype with the highest concentration of interleukin (IL)-17A and IL-22. Cluster 3 exhibited moderate type 2 inflammation, with the highest concentration of neutrophil factors. Cluster 4 demonstrated significant type 2 inflammation and moderate neutrophil levels. The proportions of AR and serum TIgE levels increased from clusters 1 to 4, and there was a gradual increase in the prevalence of chronic sinusitis from low to high neutrophilic inflammation. The area under the ROC curve for serum TIgE was higher than those for combined or other separate preoperative characteristics for predicting non-type 2 and type 2 inflammation in the adenoid tissue. CONCLUSIONS: The evaluation of cytokines in adenoid tissue revealed four endotypes. Serum TIgE level was an important indicator of the endotype of adenoid inflammation. Identification of adenoid inflammatory endotypes can facilitate targeted treatment decisions.

Association of Dietary Polyunsaturated Fatty Acid Intake with Allergic Rhinitis in Adults: A Cross-Sectional Study of NHANES 2005-2006.

INTRODUCTION: The incidence of allergic rhinitis (AR) is increasing year by year, and the pathogenesis is complex, in which diet may play an important role. The role of polyunsaturated fatty acids (PUFAs) in AR is still controversial. Previous studies have looked at the effects of PUFA during pregnancy, childhood, and adolescence. In this study, we aimed to determine the association between dietary intake of PUFA and AR in adults. METHODS: We used the NHANES database from 2005 to 2006 to include a total of 4,211 adult subjects. We collected dietary PUFA intake data and information on AR. Logistic regression and restricted cubic spline models were constructed to examine the association between PUFA intake and AR in adults. The t test was used to compare daily PUFA intakes in patients with and without AR. RESULTS: In the fully adjusted model (OR: 1.016; 95% CI: 1.003; 1.028), PUFA intake was positively correlated with allergic symptoms, hay fever, and AR in adults (p < 0.05). In addition, daily PUFA intake was significantly higher in people with allergic symptoms, hay fever, and AR than in people without the disease (p < 0.01). CONCLUSIONS: Our results suggest a positive association between dietary PUFA intake and AR in adults to a certain extent. Future studies on dietary PUFA dose will provide new strategies for the prevention and treatment of allergic diseases such as AR related to non-pharmaceutical interventions.

Dust mite component Analysis: Identifying key allergens components for effective immunotherapy in allergic rhinitis.

BACKGROUND: The aim of this study was to examine the frequency of sensitization to house dust mite (HDM) components among allergic rhinitis patients receiving subcutaneous immunotherapy (SCIT), and to assess the correlation between SCIT efficacy and specific IgE (sIgE) levels for allergenic HDM components. METHODS: Serum samples and clinical data were collected from 38 allergic rhinitis patients receiving HDM-SCIT at baseline and after 1 year of treatment. Effective treatment was defined as a therapeutic index (TI) of at least 50% after 1 year. Cytokine levels were analyzed using commercial ELISA kits, while serum total and specific IgE levels were determined by the fluoroenzymeimmunoassay technique. The ALLEOS 2000 magnetic particle chemiluminescence system was used to measure sIgE levels for Der f, Der p 1, Der p 2, Der p 10, and Der p 23. RESULTS: Allergic rhinitis patients undergoing HDM-SCIT had a high rate of allergic sensitization to the HDM major allergens Der p (100%), Der f (100%), Der p 1 (94.74%), Der p 2 (94.74%), and Der p 23 (36.84%). Patients who responded to SCIT had higher levels of IgE for HDM components at baseline, while those with ineffective treatment showed an opposite performance, particularly for Der p 1 (P＜0.05). After 1 year of treatment, effective and ineffective patients showed opposite trends in sIgE for dust mite components (decreased in effective patients, increased in ineffective patients). HDM-SCIT led to a significant reduction in IL-2, IL-4, IL-6, and EOS% (P＜0.05). IgE for Der p, Der f, Der p 1, Der p 2, and HDM sIgE were significantly positively correlated (P < 0.001). The correlation heatmap analysis based on changes in values reveals a negative correlation between CSMS score changes and sIgE for Der f and Der p 1, and a positive correlation with IL-2, IL-10, and TNF (P < 0.05). CONCLUSIONS: The molecular sensitization profiles during HDM-SCIT are variable and relate to treatment efficacy. Molecular diagnosis can assist allergists in identifying patients eligible for HDM-SCIT, thereby enhancing the treatment's clinical efficacy. Serum cytokine levels of IL-2, IL-4, IL-6，and EOS% may serve as useful biomarkers for monitoring HDM-SCIT efficacy.

The early-phase transcriptome and the clinical efficacy analysis in three modes of subcutaneous immunotherapy for allergic rhinitis.

Background: Allergen immunotherapy is the only etiological treatment for allergic rhinitis. Objective: To analyze the efficacy, safety, and mechanism of subcutaneous immunotherapy (SCIT). Methods: The efficacy, safety, and serum immunological changes of 3 modes of subcutaneous immunotherapy were compared. Peripheral blood mononuclear cells (PBMC) transcriptome changes were obtained on the Illumina sequencing platforms. We confirmed differentially expressed genes (DEGs) by quantitative real-time polymerase chain reaction (PCR). The DEGs were analyzed by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and protein-protein interaction (PPI) networks. The correlation between the common DEGs and clinical indicators was analyzed by Origin 2022. Results: The 3 SCITs were all effective after 1 year. The Combined Symptom and Medication Score (CSMS) and Visual Analog Score (VAS) in rush immunotherapy (RIT) are lowest after 24 and 48 weeks of treatment among the 3 groups. After treatment, the levels of sIgE, sIgE/tIgE, Th2 cytokines, Th17 cytokines, and percentage of peripheral eosinophils (EOS%) decreased significantly (P＜0.05), while the levels of Th1 type cytokines did not change significantly. Transcriptome analysis identified 24, 24, and 91 DEGs at W3 and 42, 52, 175 DEGs at W7 in conventional immunotherapy (CIT), cluster immunotherapy (CLIT), and RIT groups, respectively. The pathways and functions involved in SCIT include secretion of Th1/2 cytokines, immune cell differentiation. Unlike CIT and CLIT, DEGs are also involved in T cell tolerance induction, T cell anergy, and lymphocyte anergy in RIT. CXCR1, CXCR2, and IER3 had a specific effect on reflecting the improvement of symptoms in allergic rhinitis patients with SCIT. Conclusion: The clinical efficacy of RIT appeared earlier than CIT and CLIT. Clinicians can use the highly conserved gene expression profile to evaluate responses to immunotherapy.

The efficacy of steroid-eluting stents on the local inflammation of chronic rhinosinusitis with nasal polyposis after endoscopic sinus surgery: a multicenter prospective longitudinal study.

PURPOSE: Attenuating local inflammation of chronic rhinosinusitis with nasal polyps (CRSwNP) after endoscopic sinus surgery (ESS) was crucial. Corticosteroids were generally exploited to ameliorate the postoperative state of CRSwNP. This study aims to verify the efficacy of steroid-eluting stents on the local inflammation of CRSwNP following ESS. METHODS: 57 CRSwNP were enrolled from September 2021 to April 2022. 30 were with stents, and 27 were without stents after ESS. Eosinophilic cationic protein (ECP), myeloperoxidase (MPO), eosinophil, and neutrophil levels in nasal secretions, as well as visual analog scale (VAS) and modified perioperative sinus endoscopy (POSE) scores, were assessed preoperatively and after 2, 4, 8, and 12 weeks. RESULTS: All subjects of CRSwNP exhibited reduced results of eosinophil levels, neutrophil levels, nasal obstruction, nasal discharge, loss of smell, and total VAS scores after 12 weeks compared to the preoperative ones (p < 0.05). Compared with control subjects, CRSwNP with stents acquired lower levels of ECP, MPO, loss of smell, total VAS, and POSE scores at four follow-up visits, as well as reduced eosinophil and neutrophil levels in nasal secretions after 12 weeks (p < 0.05). Correlation analysis revealed that postoperative ECP and MPO levels of CRSwNP in nasal secretions correlated strongly with eosinophil and neutrophil levels, respectively, as well as POSE scores (r > 0.6). CONCLUSION: These findings indicated that steroid-eluting stents might be an acclaimed option for CRSwNP in alleviating local inflammation to acquire a superior state after ESS.

Texture-structure-based liquid metal filling for blind-end microchannels and its application on multi-layer chips.

This research work reports a novel method to achieve fast liquid metal (LM) injection in blind-end microchannels which is especially suitable for multi-layer microfluidic chips. This method is based on a texture-like surface bonding technology. The texture-like surface is fabricated on a polydimethylsiloxane (PDMS) slab with standard soft-lithography technology and bonded with another PDMS slab with microelectrode patterns on it. When injected with LM, the texture-like structure can prevent the LM from entering but allows the air inside to be released during the injection to achieve perfect blind-end complex LM electrodes. The experimental results show that it can achieve fast and perfect LM injection in the blind-end pattern and can also prevent the large area of the flat chamber from collapsing during bonding. We also parametrically studied the texture structure's size for bonding strength between the texture structure and the blank PDMS surface. In addition, we integrate three layers of blind-end complex liquid metal patterns into one multi-layer chip using this technology and later use this structure to realize series connection of two LM-based electroosmotic micropumps (EOP). Compared with the conventional LM-based EOP, the structure of the EOP chip was greatly simplified and resulted in a higher level of integration.

Calpeptin may reverse glucocorticoid-resistance of allergic rhinitis associated with cigarette smoke exposure by down-regulating interferon regulatory factor 1.

Cigarette smoke exposure is an important factor in chronic inflammation in patients with allergic rhinitis (AR); however, the relationship between cigarette smoke and AR-related glucocorticoid resistance requires further study. In mice, calpeptin significantly reduces inflammation of the lower respiratory tract caused by cigarette smoke, but whether it can treat glucocorticoid-resistant AR caused by cigarette smoke requires further research. In this study, we confirmed that cigarette smoke exposure can aggravate the Th2 inflammatory response in AR leading to glucocorticoid resistance. The underlying mechanism may be related to decreased expression of DNA methyltransferase 3a (Dnmt3a), and increased expression of interferon regulatory factor 1 (IRF1). In addition, we found that calpeptin can inhibit the expression of IRF1 and thus treat AR-associated glucocorticoid resistance in rats exposed to cigarette smoke. These data suggest that calpeptin may downregulate IRF1 and therefore treat glucocorticoid resistance in AR-associated with cigarette smoke exposure.

The ratio of total IgE level at week 16 to baseline significantly correlated with the clinical response to omalizumab in moderate to severe allergic rhinitis patients.

OBJECTIVE: To analyze whether the ratio of total IgE level at week 16 to baseline could be used as an indicator to evaluate clinical efficacy of patients treated with omalizumab. METHODS: We retrospectively analyzed the clinical characteristics of 62 patients with moderate-to-severe allergic rhinitis treated with omalizumab, and compared the pre-and post-treatment nasal visual analog scale (n-VAS) scores, the Rhinoconjunctivitis Quality of Life Questionnaire (RQLQ), Rhinitis Control Assessment Test (RCAT), improvement in nasal congestion, number of acute episodes of rhinitis, and total IgE levels in serum. The relationship between the efficacy of treatment with omalizumab and the change in total IgE levels before and after treatment was further analyzed. RESULTS: This study included 62 patients with moderate-to-severe allergic rhinitis, of which 48 demonstrated significant improvement after 16 weeks of omalizumab therapy; the results of 16 weeks' omalizumab treatment in 14 patients did not show significant improvements in allergic rhinitis symptoms based on RACT scores. After 16 weeks of omalizumab treatment, the RQLQ score decreased from (36.6 ± 13.7) at baseline level to (9.1 ± 12.6) after 16 weeks treatment.The ratio of total IgE at week 16 to total IgE levels at baseline was (2.9 ± 1.4) KU/L in 62 patients. And the ratio of total IgE levels at week 16 to total IgE levels at baseline was (3.3 ± 1.4) KU/L for responders and (1.6 ± 0.5) KU/L for non-responders. CONCLUSION: The ratio of total IgE level at week 16 to baseline significantly correlated with the clinical response to omalizumab in moderate to severe allergic rhinitis patients, when the ratio of total IgE level at week 16 to baseline was ≥2.0. Omalizumab effectively treated patients with moderate-to-severe allergic rhinitis, and improved their quality of life.

Deep learning for the prediction of residual tumor after radiotherapy and treatment decision-making in patients with nasopharyngeal carcinoma based on magnetic resonance imaging.

Background: Concurrent chemoradiotherapy (CCRT) and induction chemotherapy (IC) plus CCRT (IC + CCRT) are the main treatments for patients with advanced nasopharyngeal carcinoma (NPC). We aimed to develop deep learning (DL) models using magnetic resonance (MR) imaging to predict the risk of residual tumor after each of the 2 treatments and to provide a reference for patients to select the best treatment option. Methods: A retrospective study was conducted on 424 patients with locoregionally advanced NPC who underwent CCRT or IC + CCRT between June 2012 and June 2019 in the Renmin Hospital of Wuhan University. According to the evaluation of MR images taken 3 to 6 months after radiotherapy, patients were divided into 2 categories: residual tumor and non-residual tumor. Transferred U-net and Deeplabv3 neural networks were trained, and the better-performance segmentation model was used to segment the tumor area on axial T1-weighted enhanced MR images. Then, 4 pretrained neural networks for prediction of residual tumors were trained with CCRT and IC + CCRT datasets, and the performances of the models trained using each image and each patient as a unit were evaluated. Patients in the test cohort of CCRT and IC + CCRT datasets were successively classified by the trained CCRT and IC + CCRT models. Model recommendations were formed according to the classification and compared with the treatment decisions of physicians. Results: The Dice coefficient of Deeplabv3 (0.752) was higher than that of U-net (0.689). The average area under the curve (aAUC) of the 4 networks was 0.728 for the CCRT and 0.828 for the IC + CCRT models trained using a single image as a unit, whereas the aAUC for models trained using each patient as a unit was 0.928 for the CCRT and 0.915 for the IC + CCRT models, respectively. The accuracy of the model recommendation and the decision of physicians was 84.06% and 60.00%, respectively. Conclusions: The proposed method can effectively predict the residual tumor status of patients after CCRT and IC + CCRT. Recommendations based on the model prediction results can protect some patients from receiving additional IC and improve the survival rate of patients with NPC.

MCM5 is an oncogene of colon adenocarcinoma and promotes progression through cell cycle control.

Many patients with colon adenocarcinoma (COAD) are diagnosed at an advanced stage, and the molecular mechanism of COAD progression is intricate and controversial. Therefore, there is an urgent need to identify more novel prognosis biomarkers for COAD and elucidate the molecular mechanism of this disease. The present study aimed to screen out key genes correlated with COAD prognosis. In this study, a key module was identified and four hub genes (MCM5 (encoding minichromosome maintenance complex component 5), NOLC1 (encoding nucleolar and coiled-body phosphoprotein 1), MYC (encoding MYC proto-oncogene, BHLH transcription factor), and CDK4 (encoding cyclin dependent kinase 4)) were selected that correlated with COAD prognosis, based on the GSE9348 dataset in Gene Expression Omnibus database. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that MCM5 correlated with the cell cycle. Furthermore, MCM5 expression was upregulated in tumor tissues of patients with COAD compared with that in adjacent tissues, based on various databases, including The Cancer Genome Atlas, the Clinical Proteomic Tumor Analysis Consortium database, and the Human Protein Atlas database. Small interfering RNA-mediated knockdown of MCM5 inhibited the cell cycle and migration of colorectal cancer cells in vitro. And western blotting results indicated that factors correlated with cell cycle (CDK2/6, Cyclin D3, P21) were downregulated after knockdown of MCM5 in vitro. Besides, downregulation of MCM5 was demonstrated to inhibit lung metastasis of COAD in nude mice model. In conclusion, MCM5 is an oncogene of COAD that promotes COAD progression via cell cycle control.

MIR222HG attenuates macrophage M2 polarization and allergic inflammation in allergic rhinitis by targeting the miR146a-5p/TRAF6/NF-κB axis.

Although M2 macrophages are involved in the orchestration of type 2 inflammation in allergic diseases, the mechanisms underlying non-coding RNA (ncRNA)-mediated macrophage polarization in allergic rhinitis (AR) have not been systematically understood. Here, we identified long non-coding RNA (lncRNA) MIR222HG as a key regulator of macrophage polarization and revealed its role in AR. Consistent with our bioinformatic analysis of GSE165934 dataset derived from the Gene Expression Omnibus (GEO) database, lncRNA-MIR222HG and murine mir222hg were downregulated in our clinical samples and animal models of AR, respectively. Mir222hg was upregulated in M1 macrophages and downregulated in M2 macrophages. The allergen-ovalbumin facilitated polarization of RAW264.7 cells to the M2 phenotype, accompanied by the downregulation of mir222hg expression in a dose-dependent manner. Mir222hg facilitates macrophage M1 polarization and reverses M2 polarization caused by ovalbumin. Furthermore, mir222hg attenuates macrophage M2 polarization and allergic inflammation in the AR mouse model. Mechanistically, a series of gain- and loss-of-function experiments and rescue experiments were performed to verify the role of mir222hg as a ceRNA sponge that adsorbed miR146a-5p, upregulated Traf6, and activated the IKK/IκB/P65 pathway. Collectively, the data highlight the remarkable role of MIR222HG in the modulation of macrophage polarization and allergic inflammation, as well as its potential role as a novel AR biomarker or therapeutic target.

Association between sleep-disordered breathing and self-reported sinusitis in adults in the United States: NHANES 2005-2006.

OBJECTIVES: The association between sleep-disordered breathing (SDB) and sinusitis has been widely studied; however, research on SDB-related sleep problems and sinusitis are limited. This study aims to determine the relationship between SDB-related sleep problems, SDB symptom score, and sinusitis. METHODS: After the screening, data were analyzed from 3414 individuals (≥20 years) from the 2005-2006 National Health and Nutrition Examination Survey questionnaire. Data on snoring, daytime sleepiness, obstructive sleep apnea (snorting, gasping, or cessation of breathing while sleeping), and sleep duration were analyzed. The SDB symptom score was determined based on a summary of the scores of the above four parameters. Pearson chi-square test and logistic regression analysis were used in statistical analyses. RESULTS: After adjusting for confounders, self-reported sinusitis was strongly correlated with frequent apneas (OR: 1.950; 95% CI: 1.349-2.219), excessive daytime sleepiness (OR: 1.880; 95% CI: 1.504-2.349), and frequent snoring (OR: 1.481; 95% CI: 1.097-2.000). Compared to an SDB symptom score of 0, the higher the SDB symptom score, the higher the risk of self-reported sinusitis. For the subgroup analyses, this association was significant in females and across ethnic groups. CONCLUSION: In the United States, SDB is significantly associated with self-reported sinusitis in adults. In addition, our study suggests that patients with SDB should be aware of the risk of developing sinusitis.

Predicting prognosis of nasopharyngeal carcinoma based on deep learning: peritumoral region should be valued.

BACKGROUND: The purpose of this study was to explore whether incorporating the peritumoral region to train deep neural networks could improve the performance of the models for predicting the prognosis of NPC. METHODS: A total of 381 NPC patients who were divided into high- and low-risk groups according to progression-free survival were retrospectively included. Deeplab v3 and U-Net were trained to build segmentation models for the automatic segmentation of the tumor and suspicious lymph nodes. Five datasets were constructed by expanding 5, 10, 20, 40, and 60 pixels outward from the edge of the automatically segmented region. Inception-Resnet-V2, ECA-ResNet50t, EfficientNet-B3, and EfficientNet-B0 were trained with the original, segmented, and the five new constructed datasets to establish the classification models. The receiver operating characteristic curve was used to evaluate the performance of each model. RESULTS: The Dice coefficients of Deeplab v3 and U-Net were 0.741(95%CI:0.722-0.760) and 0.737(95%CI:0.720-0.754), respectively. The average areas under the curve (aAUCs) of deep learning models for classification trained with the original and segmented images and with images expanded by 5, 10, 20, 40, and 60 pixels were 0.717 ± 0.043, 0.739 ± 0.016, 0.760 ± 0.010, 0.768 ± 0.018, 0.802 ± 0.013, 0.782 ± 0.039, and 0.753 ± 0.014, respectively. The models trained with the images expanded by 20 pixels obtained the best performance. CONCLUSIONS: The peritumoral region NPC contains information related to prognosis, and the incorporation of this region could improve the performance of deep learning models for prognosis prediction.

Atorvastatin attenuates allergic inflammation by blocking prostaglandin biosynthesis in rats with allergic rhinitis.

BACKGROUND: Prostaglandins (PGs) are bioactive lipid mediators derived from the nuclear and plasma membranes via the cyclooxygenase (COX) pathway of arachidonic acid (AA) metabolism. PGs bridge the interactions between various immunomodulatory cells in allergic rhinitis (AR) and are considered key players in regulating pro-inflammatory and anti-inflammatory responses. AA conversion to PGs involves rate-limiting enzymes that may be blocked by statins. The mechanisms by which statins regulate these enzymes in AR remain unclear. We investigated the effects of oral atorvastatin on PGs production in AR. METHODS: An ovalbumin-induced AR rat model was constructed and the changes in nasal symptom score and nasal mucosa histopathological characteristics of AR rats under different atorvastatin doses were assessed. qRT-PCR, western blotting, and immunofluorescence were used to detect the mRNA and protein expression levels of rate-limiting enzymes and downstream molecules of AA metabolism in the nasal mucosa and liver. RESULTS: Oral atorvastatin significantly alleviated symptoms and eosinophil infiltration in the nasal mucosa, inhibited goblet cell hyperplasia and mast cell recruitment, and decreased mucus secretion in AR rats. Increasing atorvastatin dose increased the anti-inflammatory effects. High-dose atorvastatin inhibited upregulation of the inflammatory mediator PGD2 in the nasal mucosa of AR rats. Compared to the control group, the mRNA and protein expression of the rate-limiting enzymes COX-2, PGDS, and PGES in AA metabolism in the AR group were upregulated but downregulated after the oral administration of high-dose atorvastatin. Atorvastatin also showed dose-dependent inhibition of ERK1/2 and downstream NF-κB phosphorylation in the nasal mucosa and liver of AR rats. CONCLUSIONS: Atorvastatin inhibited allergic inflammation and attenuated AR nasal symptoms by downregulating PGD2 and rate-limiting enzyme expression in PGD2 biosynthesis, possibly by blocking the RAS/ERK/NF-κB signaling pathway.

Fasting Plasma Glucose and Glycohemoglobin with Allergic Symptoms and Specific Sensitization: Results from NHANES 2005-2006.

OBJECTIVE: The National Health and Nutrition Examination Survey (NHANES) data has been used to study the relationship between fasting plasma glucose (FPG) and glycohemoglobin (A1c) in patients with allergic symptoms and specific sensitization, respectively. METHODS: A total of 1,687 participants and a variety of logistic regression models were selected based on the 2005-2006 NHANES (n = 10,348) for our study to describe the relationship between FPG and A1c in subjects with the sensitivity of allergic symptoms, specific sensitization and specific sensitization of 19 allergens, respectively. On this basis, a variety of logistic regression models were further established for hierarchical analysis to study the limiting conditions when FPG and A1c were related to allergic symptoms. RESULTS: We adjusted the confounding factors and found that the risk of specific sensitization increased with the increase in FPG and A1c. Stratified analysis showed that the risk of allergic symptoms increased with the increase in FPG and A1c when born elsewhere other than in the U.S. and Mexico or underweight or overweight or with hypertension. Furthermore, we found that the risk of egg sensitization increased with the increase in FPG and A1c, while the risk of rat sensitization decreased with the increase in FPG. CONCLUSION: Under certain conditions, FPG and A1c were risk factors for allergic symptoms. FPG and A1c were risk factors for specific sensitization, especially egg sensitization. These findings indicate a possible link between diabetes and allergies.