The mountain cedar model in clinical trials of seasonal allergic rhinoconjunctivitis

Identification and Characterization of Pectate Lyase as a Novel Allergen in Artemisia sieversiana Pollen

INTRODUCTION

Artemisia species are widely spread in north hemisphere. Artemisia sieversiana pollen is one of the common pollen allergens in the north of China. At present, seven allergens were identified and had been listed officially from A. sieversiana pollen, but the remaining allergens are still insufficiently studied, which need to be found.

METHODS

Pectate lyase was purified from the extracts of A. sieversiana pollen by anion exchange, size exclusion, and HPLC-hydrophobic interaction chromatography. The gene of A. sieversiana pectate lyase (Art si pectate lyase) was cloned and expressed in Escherichia coli. The enzyme activity and circular dichroism (CD) spectrum of natural and recombinant proteins were analyzed. The allergenicity of Art si pectate lyase was characterized by enzyme-linked immunosorbent assay (ELISA), Western blot, inhibition ELISA, and basophil activation test. The allergen's physicochemical properties, three-dimensional structure, sequence profiles with homologous allergens and phylogenetic tree were analyzed by in silico methods.

RESULTS

Natural Art si pectate lyase (nArt si pectate lyase) was purified from A. sieversiana pollen extracts by three chromatographic strategies. The cDNA sequence of Art si pectate lyase had a 1191-bp open reading frame encoding 396 amino acids. Both natural and recombinant pectate lyase (rArt si pectate lyase) exhibited similar CD spectrum, and nArt si pectate lyase had higher enzymatic activity. Moreover, the specific immunoglobulin E (IgE) binding rate against nArt si pectate lyase and rArt si pectate lyase was determined as 40% (6/15) in patients' serum with Artemisia species pollen allergy by ELISA. The nArt si pectate lyase and rArt si pectate lyase could inhibit 76.11% and 47.26% of IgE binding activities to the pollen extracts, respectively. Art si pectate lyase was also confirmed to activate patients' basophils. Its structure contains a predominant motif of classic parallel helical core, consisting of three parallel β-sheets, and two highly conserved features (vWiDH, RxPxxR) which may contribute to pectate lyase activity. Moreover, Art si pectate lyase shared the highest sequence identity of 73.0% with Art v 6 among currently recognized pectate lyase allergen, both were clustered into the same branch in the phylogenetic tree.

CONCLUSION

In this study, pectate lyase was identified and comprehensively characterized as a novel allergen in A. sieversiana pollen. The findings enriched the allergen information for this pollen and promoted the development of component-resolved diagnosis and molecular therapy of A. sieversiana pollen allergy.

Mountain cedar allergy: A review of current available literature

OBJECTIVE

To review the literature related to mountain cedar in terms of allergic disease and societal impact.

DATA SOURCES

English-language articles obtained through PubMed searches with relevance to mountain cedar allergies.

STUDY SELECTIONS

Articles with the following search terms were included: mountain cedar, Juniperus ashei, juniper, allergy, pollen, cedar fever, Jun a 1, and San Antonio.

RESULTS

A total of 61 relevant articles were selected regarding mountain cedar and its distribution, phylogenetics, allergens, potency, cross-reactivity, pollen counting and monitoring, symptoms, diagnosis, treatment, and future research.

CONCLUSION

Mountain cedar remains a major cause of allergic rhinoconjunctivitis in the south central United States during the winter months. Key treatment strategies involve a combination of allergen avoidance, pharmacologic therapy, and subcutaneous immunotherapy. Allergists can help affected patients in their management of "cedar fever."

Efficacy and safety of twice-daily and once-daily olopatadine-mometasone combination nasal spray for seasonal allergic rhinitis

BACKGROUND

GSP301 is an investigational fixed-dose combination nasal spray of olopatadine hydrochloride (antihistamine) and mometasone furoate (corticosteroid).

OBJECTIVE

To evaluate efficacy and safety of GSP301 in patients with seasonal AR (SAR).

METHODS

In this phase 2, double-blind, parallel-group study, patients (≥12 years of age) with SAR were equally randomized to twice-daily GSP301 (olopatadine 665 μg and mometasone 25 μg), once-daily GSP301 (olopatadine 665 μg and mometasone 50 μg), twice-daily or once-daily olopatadine monotherapy (665 μg), mometasone monotherapy (twice-daily 25 μg or once-daily 50 μg), or placebo for 14 days. The primary endpoint-mean change from baseline in morning and evening reflective Total Nasal Symptom Score (rTNSS)-was analyzed using analysis of covariance (ANCOVA; P < .05 = statistically significant). Average morning and evening 12-hour instantaneous TNSS (iTNSS), ocular symptoms, individual symptoms, onset of action, quality of life, and adverse events (AEs) were also assessed.

RESULTS

A total of 1111 patients were randomized. Twice-daily GSP301 provided statistically significant and clinically meaningful rTNSS improvements vs placebo (P < .001), twice-daily olopatadine (P = .049), and mometasone (P = .004). Similar significant improvements in iTNSS were observed with twice-daily GSP301 vs placebo (P < .001) and twice-daily mometasone (P = .007); improvements were not significant vs olopatadine (P = .058). Once-daily GSP301 provided significant rTNSS and iTNSS improvements vs placebo and once-daily olopatadine (P < .01, all) but improvements were not significant vs mometasone. Treatment-emergent AEs rates were 10.8%, 9.5%, and 8.2%, with twice-daily GSP301, once-daily GSP301, and placebo, respectively.

CONCLUSION

Twice-daily GSP301 treatment was efficacious and well tolerated, providing statistically significant and clinically meaningful improvements in rTNSS (primary endpoint) vs placebo and both monotherapies.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier NCT02318303.

Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters

Approximately 50 million Americans have allergic diseases. Airborne plant pollen is a significant trigger for several of these allergic diseases. Ambrosia (ragweed) is known for its abundant production of pollen and its potent allergic effect in North America. Hence, estimating and predicting the daily atmospheric concentration of pollen (ragweed pollen in particular) is useful for both people with allergies and for the health professionals who care for them. In this study, we show that a suite of variables including meteorological and land surface parameters, as well as next-generation radar (NEXRAD) measurements together with machine learning can be used to estimate successfully the daily pollen concentration. The supervised machine learning approaches we used included random forests, neural networks, and support vector machines. The performance of the training is independently validated using 10% of the data partitioned using the holdout cross-validation method from the original dataset. The random forests (R= 0.61, R²= 0.37), support vector machines (R= 0.51, R²= 0.26), and neural networks (R= 0.46, R²= 0.21) effectively predicted the daily Ambrosia pollen, where the correlation coefficient (R) and R-squared (R²) values are given in brackets. Three independent approaches-the random forests, correlation coefficients, and interaction information-were employed to rank the relative importance of the available predictors.

Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Ambrosia Pollen

Allergies to airborne pollen are a significant issue affecting millions of Americans. Consequently, accurately predicting the daily concentration of airborne pollen is of significant public benefit in providing timely alerts. This study presents a method for the robust estimation of the concentration of airborne Ambrosia pollen using a suite of machine learning approaches including deep learning and ensemble learners. Each of these machine learning approaches utilize data from the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric weather and land surface reanalysis. The machine learning approaches used for developing a suite of empirical models are deep neural networks, extreme gradient boosting, random forests and Bayesian ridge regression methods for developing our predictive model. The training data included twenty-four years of daily pollen concentration measurements together with ECMWF weather and land surface reanalysis data from 1987 to 2011 is used to develop the machine learning predictive models. The last six years of the dataset from 2012 to 2017 is used to independently test the performance of the machine learning models. The correlation coefficients between the estimated and actual pollen abundance for the independent validation datasets for the deep neural networks, random forest, extreme gradient boosting and Bayesian ridge were 0.82, 0.81, 0.81 and 0.75 respectively, showing that machine learning can be used to effectively forecast the concentrations of airborne pollen.

Allergen immunotherapy in pregnancy

Background

Allergic diseases such as asthma and allergic rhinitis constitute a significant burden of disease among women of childbearing age and those who are pregnant. Adequately managing these conditions is paramount in reducing negative fetal outcomes as well as maternal complications during pregnancy. However, the potential for harm to both the mother and fetus demands carefully balancing efficacy and safety of treatment. Allergen immunotherapy (AIT) has emerged as a relatively safe and efficacious mode of therapy in both children and adults. AIT has also been considered for use during pregnancy.

Methods

A review of the literature was conducted for data regarding the safety of initiation and continuation of AIT during pregnancy as well as the effect of AIT on the development of atopy in offspring. MEDLINE and the Cochrane Library were searched for clinical trials, randomized control trials, observational studies and journal articles in English using the terms "Pregnancy" and "Immunotherapy" from 1900 to present. This yielded 4 studies (totaling 422 pregnancies receiving AIT) investigating the continuation of AIT in pregnancy, 2 (totaling 31 pregnancies receiving AIT) evaluating AIT initiation during pregnancy and 5 observing the effect of AIT on atopy in offspring.

Results

No significant difference was found in the incidence of prematurity, hypertension (HTN)/proteinuria, congenital malformations or perinatal deaths between the women continued on AIT (both subcutaneous (SC) IT and sublingual (SL) IT to inhalant allergens as well as venom IT) during pregnancy and controls. Similarly, there was no significant difference in maternal or fetal complications between pregnant women initiated on AIT and controls. Among the few pregnant women (10/453 pregnancies) who experienced generalized reactions while receiving AIT, none were found to have fetal complications. Neither SCIT nor SLIT during pregnancy altered the risk of developing atopic disease in offspring.

Conclusions

Based on these data, the continuation of AIT during pregnancy appears safe. Furthermore, the few data available suggest that the initiation of AIT during pregnancy might also be safe, however, more data is required for a definitive conclusion. Lastly, available studies do not show a convincing reduction in the development of atopy in offspring from the administration of AIT during pregnancy.

Searching for Cedar

Objective

To assess the effect of a single aeroallergen on Internet search activity in 3 distinct geographic regions over time.

Study Design

A retrospective time series analysis.

Setting

Tertiary academic medical center.

Methods

Mountain Cedar pollen counts spanning the periods from 2011 to 2014 were collected for San Antonio, Dallas–Ft Worth, and Houston metro regions (Texas). Google search data for the corresponding period and regions were also obtained for the search terms pollen and mountain cedar. Data were analyzed through time series plots and autoregressive integrated moving average.

Results

Seasonal maximum pollen counts were greatest in San Antonio, ranging from 5413 to 9982 grains per cubic centimeter. In San Antonio, there was a strong, positive, and statistically significant effect of mountain cedar pollen count on search activity for both pollen ( P = .001) and mountain cedar ( P < .001) when evaluated by autoregressive integrated moving average.

Conclusions

Environmental levels of a single allergen—mountain cedar pollen—show a geographic and temporal relationship between Internet searches and mountain cedar pollen, based on Google Trends. These data are useful to understand patients’ perceptions of the health risk presented by mountain cedar pollen. In turn, this information affords practitioners the opportunity to offer targeted patient education in a geographically unique region, as well as adjust surveillance of related pathologies.

Advances in pharmacotherapy for the treatment of allergic rhinitis; MP29-02 (a novel formulation of azelastine hydrochloride and fluticasone propionate in an advanced delivery system) fills the gaps

INTRODUCTION

Effective pharmacologic treatment exists for most patients suffering from allergic rhinitis (AR). However, both in clinical trials and in real-life studies, many patients are dissatisfied with treatment. Physicians often use multiple therapies, in an attempt to improve symptom control, often with limited evidence of success. Novel treatment options are needed and must consider unmet medical needs.

AREAS COVERED

This article reviews the clinical data for a new AR treatment. MP29-02 (Dymista®, Meda, Solna, Sweden) contains azelastine hydrochloride (AZE) and fluticasone propionate (FP), in a novel formulation and delivered in an improved device as a single nasal spray. It has shown superior efficacy in AR patients than either commercially available AZE or FP monotherapy for both nasal and ocular symptom relief, regardless of disease severity. MP29-02 also provided more effective and rapid symptom relief than either AZE or FP monotherapy delivered in the MP29-02 formulation and device. However, the effect was less than that observed versus commercial comparators, suggesting the impact of formulation and device on clinical efficacy.

EXPERT OPINION

MP29-02 simplifies AR management, surpassing the efficacy of gold standard treatment, intranasal corticosteroids (INS), for the first time. It is indicated for the treatment of moderate-to-severe seasonal allergic rhinitis and perennial allergic rhinitis when monotherapy with either intranasal antihistamine or INS is NOT considered sufficient. Most patients present with moderate/severe disease, with evidence of current or previous treatment insufficiency. MP29-02 should be the treatment of choice for these patients.