Spices to Control COVID-19 Symptoms: Yes, but Not Only...

There are large country variations in COVID-19 death rates that may be partly explained by diet. Many countries with low COVID-19 death rates have a common feature of eating large quantities of fermented vegetables such as cabbage and, in some continents, various spices. Fermented vegetables and spices are agonists of the antioxidant transcription factor nuclear factor (erythroid-derived 2)-like 2 (Nrf2), and spices are transient receptor potential ankyrin 1 and vanillin 1 (TRPA1/V1) agonists. These mechanisms may explain many COVID-19 symptoms and severity. It appears that there is a synergy between Nrf2 and TRPA1/V1 foods that may explain the role of diet in COVID-19. One of the mechanisms of COVID-19 appears to be an oxygen species (ROS)-mediated process in synergy with TRP channels, modulated by Nrf2 pathways. Spicy foods are likely to desensitize TRP channels and act in synergy with exogenous antioxidants that activate the Nrf2 pathway. © 202

Potential Interplay between Nrf2, TRPA1, and TRPV1 in Nutrients for the Control of COVID-19

In this article, we propose that differences in COVID-19 morbidity may be associated with transient receptor potential ankyrin 1 (TRPA1) and/or transient receptor potential vanilloid 1 (TRPV1) activation as well as desensitization. TRPA1 and TRPV1 induce inflammation and play a key role in the physiology of almost all organs. They may augment sensory or vagal nerve discharges to evoke pain and several symptoms of COVID-19, including cough, nasal obstruction, vomiting, diarrhea, and, at least partly, sudden and severe loss of smell and taste. TRPA1 can be activated by reactive oxygen species and may therefore be up-regulated in COVID-19. TRPA1 and TRPV1 channels can be activated by pungent compounds including many nuclear factor (erythroid-derived 2) (Nrf2)-interacting foods leading to channel desensitization. Interactions between Nrf2-associated nutrients and TRPA1/TRPV1 may be partly responsible for the severity of some of the COVID-19 symptoms. The regulation by Nrf2 of TRPA1/TRPV1 is still unclear, but suggested from very limited clinical evidence. In COVID-19, it is proposed that rapid desensitization of TRAP1/TRPV1 by some ingredients in foods could reduce symptom severity and provide new therapeutic strategies. © 2021 S. Karger AG, Basel

Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK-air® real-world data

Background: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data. Methods: We analysed 2015–2020 MASK-air® European data. We compared days under no medication, monotherapy and co-medication using the visual analogue scale (VAS) levels for overall allergic symptoms (‘VAS Global Symptoms’) and impact of AR on work. We assessed the monthly use of different medication schemes, performing separate analyses by region (defined geographically or by Google Trends patterns). We estimated the average number of different drugs reported per patient within 1 year. Results: We analysed 222,024 days (13,122 users), including 63,887 days (28.8%) under monotherapy and 38,315 (17.3%) under co-medication. The median ‘VAS Global Symptoms’ was 7 for no medication days, 14 for monotherapy and 21 for co-medication (p <.001). Medication use peaked during the spring, with similar patterns across different European regions (defined geographically or by Google Trends). Oral H1-antihistamines were the most common medication in single and co-medication. Each patient reported using an annual average of 2.7 drugs, with 80% reporting two or more. Conclusions: Allergic rhinitis medication patterns are similar across European regions. One third of treatment days involved co-medication. These findings suggest that patients treat themselves according to their symptoms (irrespective of how they understand AR) and that co-medication use is driven by symptom severity. © 2022 The Authors. Allergy published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd

Allergen immunotherapy in MASK-air users in real-life: Results of a Bayesian mixed-effects model

Background: Evidence regarding the effectiveness of allergen immunotherapy (AIT) on allergic rhinitis has been provided mostly by randomised controlled trials, with little data from real-life studies. Objective: To compare the reported control of allergic rhinitis symptoms in three groups of users of the MASK-air® app: those receiving sublingual AIT (SLIT), those receiving subcutaneous AIT (SCIT), and those receiving no AIT. Methods: We assessed the MASK-air® data of European users with self-reported grass pollen allergy, comparing the data reported by patients receiving SLIT, SCIT and no AIT. Outcome variables included the daily impact of allergy symptoms globally and on work (measured by visual analogue scales—VASs), and a combined symptom-medication score (CSMS). We applied Bayesian mixed-effects models, with clustering by patient, country and pollen season. Results: We analysed a total of 42,756 days from 1,093 grass allergy patients, including 18,479 days of users under AIT. Compared to no AIT, SCIT was associated with similar VAS levels and CSMS. Compared to no AIT, SLIT-tablet was associated with lower values of VAS global allergy symptoms (average difference = 7.5 units out of 100; 95% credible interval [95%CrI] = −12.1;−2.8), lower VAS Work (average difference = 5.0; 95%CrI = −8.5;−1.5), and a lower CSMS (average difference = 3.7; 95%CrI = −9.3;2.2). When compared to SCIT, SLIT-tablet was associated with lower VAS global allergy symptoms (average difference = 10.2; 95%CrI = −17.2;−2.8), lower VAS Work (average difference = 7.8; 95%CrI = −15.1;0.2), and a lower CSMS (average difference = 9.3; 95%CrI = −18.5;0.2). Conclusion: In patients with grass pollen allergy, SLIT-tablet, when compared to no AIT and to SCIT, is associated with lower reported symptom severity. Future longitudinal studies following internationally-harmonised standards for performing and reporting real-world data in AIT are needed to better understand its ‘real-world’ effectiveness. © 2022 The Authors. Clinical and Translational Allergy published by John Wiley & Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology

Management of anaphylaxis due to COVID-19 vaccines in the elderly

none149siOlder adults, especially men and/or those with diabetes, hypertension, and/or obesity, are prone to severe COVID-19. In some countries, older adults, particularly those residing in nursing homes, have been prioritized to receive COVID-19 vaccines due to high risk of death. In very rare instances, the COVID-19 vaccines can induce anaphylaxis, and the management of anaphylaxis in older people should be considered carefully. An ARIA-EAACI-EuGMS (Allergic Rhinitis and its Impact on Asthma, European Academy of Allergy and Clinical Immunology, and European Geriatric Medicine Society) Working Group has proposed some recommendations for older adults receiving the COVID-19 vaccines. Anaphylaxis to COVID-19 vaccines is extremely rare (from 1 per 100,000 to 5 per million injections). Symptoms are similar in younger and older adults but they tend to be more severe in the older patients. Adrenaline is the mainstay treatment and should be readily available. A flowchart is proposed to manage anaphylaxis in the older patients.noneBousquet J.; Agache I.; Blain H.; Jutel M.; Ventura M.T.; Worm M.; Del Giacco S.; Benetos A.; Bilo B.M.; Czarlewski W.; Abdul Latiff A.H.; Al-Ahmad M.; Angier E.; Annesi-Maesano I.; Atanaskovic-Markovic M.; Bachert C.; Barbaud A.; Bedbrook A.; Bennoor K.S.; Berghea E.C.; Bindslev-Jensen C.; Bonini S.; Bosnic-Anticevich S.; Brockow K.; Brussino L.; Camargos P.; Canonica G.W.; Cardona V.; Carreiro-Martins P.; Carriazo A.; Casale T.; Caubet J.-C.; Cecchi L.; Cherubini A.; Christoff G.; Chu D.K.; Cruz A.A.; Dokic D.; El-Gamal Y.; Ebisawa M.; Eberlein B.; Farrell J.; Fernandez-Rivas M.; Fokkens W.J.; Fonseca J.A.; Gao Y.; Gavazzi G.; Gawlik R.; Gelincik A.; Gemicioglu B.; Gotua M.; Guerin O.; Haahtela T.; Hoffmann-Sommergruber K.; Hoffmann H.J.; Hofmann M.; Hrubisko M.; Illario M.; Irani C.; Ispayeva Z.; Ivancevich J.C.; Julge K.; Kaidashev I.; Khaitov M.; Knol E.; Kraxner H.; Kuna P.; Kvedariene V.; Lauerma A.; Le L.T.T.; Le Moing V.; Levin M.; Louis R.; Lourenco O.; Mahler V.; Martin F.C.; Matucci A.; Milenkovic B.; Miot S.; Montella E.; Morais-Almeida M.; Mortz C.G.; Mullol J.; Namazova-Baranova L.; Neffen H.; Nekam K.; Niedoszytko M.; Odemyr M.; O'Hehir R.E.; Okamoto Y.; Ollert M.; Palomares O.; Papadopoulos N.G.; Panzner P.; Passalacqua G.; Patella V.; Petrovic M.; Pfaar O.; Pham-Thi N.; Plavec D.; Popov T.A.; Recto M.T.; Regateiro F.S.; Reynes J.; Roller-Winsberger R.E.; Rolland Y.; Romano A.; Rondon C.; Rottem M.; Rouadi P.W.; Salles N.; Samolinski B.; Santos A.F.; S Sarquis F.; Sastre J.; M. G. A. Schols J.; Scichilone N.; Sediva A.; Shamji M.H.; Sheikh A.; Skypala I.; Smolinska S.; Sokolowska M.; Sousa-Pinto B.; Sova M.; Stelmach R.; Sturm G.; Suppli Ulrik C.; Todo-Bom A.M.; Toppila-Salmi S.; Tsiligianni I.; Torres M.; Untersmayr E.; Urrutia Pereira M.; Valiulis A.; Vitte J.; Vultaggio A.; Wallace D.; Walusiak-Skorupa J.; Wang D.-Y.; Waserman S.; Yorgancioglu A.; Yusuf O.M.; Zernotti M.; Zidarn M.; Chivato T.; Akdis C.A.; Zuberbier T.; Klimek L.Bousquet, J.; Agache, I.; Blain, H.; Jutel, M.; Ventura, M. T.; Worm, M.; Del Giacco, S.; Benetos, A.; Bilo, B. M.; Czarlewski, W.; Abdul Latiff, A. H.; Al-Ahmad, M.; Angier, E.; Annesi-Maesano, I.; Atanaskovic-Markovic, M.; Bachert, C.; Barbaud, A.; Bedbrook, A.; Bennoor, K. S.; Berghea, E. C.; Bindslev-Jensen, C.; Bonini, S.; Bosnic-Anticevich, S.; Brockow, K.; Brussino, L.; Camargos, P.; Canonica, G. W.; Cardona, V.; Carreiro-Martins, P.; Carriazo, A.; Casale, T.; Caubet, J. -C.; Cecchi, L.; Cherubini, A.; Christoff, G.; Chu, D. K.; Cruz, A. A.; Dokic, D.; El-Gamal, Y.; Ebisawa, M.; Eberlein, B.; Farrell, J.; Fernandez-Rivas, M.; Fokkens, W. J.; Fonseca, J. A.; Gao, Y.; Gavazzi, G.; Gawlik, R.; Gelincik, A.; Gemicioglu, B.; Gotua, M.; Guerin, O.; Haahtela, T.; Hoffmann-Sommergruber, K.; Hoffmann, H. J.; Hofmann, M.; Hrubisko, M.; Illario, M.; Irani, C.; Ispayeva, Z.; Ivancevich, J. C.; Julge, K.; Kaidashev, I.; Khaitov, M.; Knol, E.; Kraxner, H.; Kuna, P.; Kvedariene, V.; Lauerma, A.; L. T. T., Le; Le Moing, V.; Levin, M.; Louis, R.; Lourenco, O.; Mahler, V.; Martin, F. C.; Matucci, A.; Milenkovic, B.; Miot, S.; Montella, E.; Morais-Almeida, M.; Mortz, C. G.; Mullol, J.; Namazova-Baranova, L.; Neffen, H.; Nekam, K.; Niedoszytko, M.; Odemyr, M.; O'Hehir, R. E.; Okamoto, Y.; Ollert, M.; Palomares, O.; Papadopoulos, N. G.; Panzner, P.; Passalacqua, G.; Patella, V.; Petrovic, M.; Pfaar, O.; Pham-Thi, N.; Plavec, D.; Popov, T. A.; Recto, M. T.; Regateiro, F. S.; Reynes, J.; Roller-Winsberger, R. E.; Rolland, Y.; Romano, A.; Rondon, C.; Rottem, M.; Rouadi, P. W.; Salles, N.; Samolinski, B.; Santos, A. F.; S Sarquis, F.; Sastre, J.; M. G. A. Schols J., ; Scichilone, N.; Sediva, A.; Shamji, M. H.; Sheikh, A.; Skypala, I.; Smolinska, S.; Sokolowska, M.; Sousa-Pinto, B.; Sova, M.; Stelmach, R.; Sturm, G.; Suppli Ulrik, C.; Todo-Bom, A. M.; Toppila-Salmi, S.; Tsiligianni, I.; Torres, M.; Untersmayr, E.; Urrutia Pereira, M.; Valiulis, A.; Vitte, J.; Vultaggio, A.; Wallace, D.; Walusiak-Skorupa, J.; Wang, D. -Y.; Waserman, S.; Yorgancioglu, A.; Yusuf, O. M.; Zernotti, M.; Zidarn, M.; Chivato, T.; Akdis, C. A.; Zuberbier, T.; Klimek, L

Management of anaphylaxis due to COVID-19 vaccines in the elderly

Older adults, especially men and/or those with diabetes, hypertension, and/or obesity, are prone to severe COVID-19. In some countries, older adults, particularly those residing in nursing homes, have been prioritized to receive COVID-19 vaccines due to high risk of death. In very rare instances, the COVID-19 vaccines can induce anaphylaxis, and the management of anaphylaxis in older people should be considered carefully. An ARIA-EAACI-EuGMS (Allergic Rhinitis and its Impact on Asthma, European Academy of Allergy and Clinical Immunology, and European Geriatric Medicine Society) Working Group has proposed some recommendations for older adults receiving the COVID-19 vaccines. Anaphylaxis to COVID-19 vaccines is extremely rare (from 1 per 100,000 to 5 per million injections). Symptoms are similar in younger and older adults but they tend to be more severe in the older patients. Adrenaline is the mainstay treatment and should be readily available. A flowchart is proposed to manage anaphylaxis in the older patients. © 2021 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd

Rhinitis associated with asthma is distinct from rhinitis alone : The ARIA-MeDALL hypothesis

Asthma, rhinitis, and atopic dermatitis (AD) are interrelated clinical phenotypes that partly overlap in the human interactome. The concept of "one-airway-one-disease," coined over 20 years ago, is a simplistic approach of the links between upper- and lower-airway allergic diseases. With new data, it is time to reassess the concept. This article reviews (i) the clinical observations that led to Allergic Rhinitis and its Impact on Asthma (ARIA), (ii) new insights into polysensitization and multimorbidity, (iii) advances in mHealth for novel phenotype definitions, (iv) confirmation in canonical epidemiologic studies, (v) genomic findings, (vi) treatment approaches, and (vii) novel concepts on the onset of rhinitis and multimorbidity. One recent concept, bringing together upper- and lower-airway allergic diseases with skin, gut, and neuropsychiatric multimorbidities, is the "Epithelial Barrier Hypothesis." This review determined that the "one-airway-one-disease" concept does not always hold true and that several phenotypes of disease can be defined. These phenotypes include an extreme "allergic" (asthma) phenotype combining asthma, rhinitis, and conjunctivitis. Rhinitis alone and rhinitis and asthma multimorbidity represent two distinct diseases with the following differences: (i) genomic and transcriptomic background (Toll-Like Receptors and IL-17 for rhinitis alone as a local disease; IL-33 and IL-5 for allergic and non-allergic multimorbidity as a systemic disease), (ii) allergen sensitization patterns (mono- or pauci-sensitization versus polysensitization), (iii) severity of symptoms, and (iv) treatment response. In conclusion, rhinitis alone (local disease) and rhinitis with asthma multimorbidity (systemic disease) should be considered as two distinct diseases, possibly modulated by the microbiome, and may be a model for understanding the epidemics of chronic and autoimmune diseases.Peer reviewe