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Enregistrement W3093646995 · doi:10.1152/japplphysiol.00835.2020

Reply to Jakovac: Sex differences in COVID-19 course and outcome: progesterone should not be neglected

2020· letter· en· W3093646995 sur OpenAlexaffabout
Luciane H. Gargaglioni, Danuzia A. Marques

Notice bibliographique

RevueJournal of Applied Physiology · 2020
Typeletter
Langueen
DomaineMedicine
ThématiqueSex and Gender in Healthcare
Établissements canadiensUniversité LavalInstitut Universitaire de Cardiologie et de Pneumologie de Québec
Organismes subventionnairesConselho Nacional de Desenvolvimento Científico e TecnológicoMinistério da Ciência, Tecnologia e InovaçãoFundação de Amparo à Pesquisa do Estado de São Paulo
Mots-clésCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMedicineInternal medicineBiologyPsychologyVirology

Résumé

récupéré en direct d'OpenAlex

Letter to the EditorReply to Jakovac: Sex differences in COVID-19 course and outcome: progesterone should not be neglectedLuciane H. Gargaglioni and Danuzia A. MarquesLuciane H. GargaglioniDepartment of Animal Morphology and Physiology, FCAVJ-UNESP-São Paulo State University, Jaboticabal, Brazil and Danuzia A. MarquesDepartment of Pediatrics, Centre de recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, Université Laval, Québec, CanadaPublished Online:23 Oct 2020https://doi.org/10.1152/japplphysiol.00835.2020MoreFiguresReferencesRelatedInformationSectionsGRANTSDISCLOSURESAUTHOR CONTRIBUTIONSAUTHOR NOTESPDF (69 KB)Download PDF ToolsExport citationAdd to favoritesGet permissionsTrack citations ShareShare onFacebookXLinkedInWeChat to the editor: The Letter to the Editor entitled "Sex differences in COVID-19 course and outcome: progesterone should not be neglected" (4a) in response to our study (2) included a proposition of the benefits of progesterone use for COVID-19 course and outcome. In fact, one recent review also suggested the use of sex hormones, such as estradiol and progesterone, in the fight against COVID-19 (5). Additionally, there is one ongoing study registered at ClinicalTrials.gov (NCT04365127—Progesterone for the Treatment of COVID-19 in Hospitalized Men) in which volunteer men who are hospitalized with COVID-19 and meet the eligibility criteria will receive 100 mg of progesterone administered subcutaneously twice daily for 5 days, in addition to institutional standard of care. The organism's first antiviral responses against pathogens are made by the activation inflammatory pathways of the immune system; in this scenario, estradiol can be important, as it has immunostimulatory roles (6) and can help the organism to respond to the viral infection. However, an exaggerated immune response, known as a "cytokine storm," can lead to increased severity of the disease and progesterone and testosterone might be used in this case, as both are immunosuppressive and counteract the pathways affected by estradiol (6). As widely reported by many studies, scientific reports and by the media, the highest mortality in patients with COVID-19 is observed in older and immunocompromised individuals. Age increases the levels of proinflammatory cytokines and decreases the expression of immune memory/effector cells which could lead to increased susceptibility to infections and worsening of the disease (3). This remodeling of the immune system and decline in immune efficacy with age could drive a decreased response to vaccines (3) and can be a challenge in the control of COVID-19. Age is accompanied by a decline in sex hormones in both sexes, which could be related to the remodeling of the immune system (3). Therefore, sex hormone replacement could be important in the context of COVID-19 and cytokine release (as we discussed in our study), as sex hormones modulate the immune system and can help with the balance of inflammatory and anti-inflammatory cytokines (6). Nevertheless, sex hormone therapies can also bring risks, as they can change many homeostatic parameters, depending on type of hormone (different synthetic variations or bioidentical), the dose used, the via (oral, transdermal, etc.), and the period of use, since many studies already shown high risk for vascular problems related hormonal replacement therapy. In this regard, one French study of 271 postmenopausal women who had previously presented venous thrombotic event (VTE) episode showed that oral hormone treatment users had 4-fold-increased odds of a VTE, whereas transdermal hormone users had no increased risk (1). Therefore, it is important to highlight that synthetic progestins present differing degrees of androgenic and thromboembolic properties that should be considered when prescribing individualized treatments (4). In conclusion, the use of sex hormone therapies can have benefits, but can also lead to adverse effects. Interactions in individuals with comorbidities must be carefully evaluated so that their risks do not outweigh the benefits.GRANTS This work was supported by MCTI Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq): Luciane H. Gargaglioni 407490/2018-3 and by São Paulo Research Foundation (FAPESP): Luciane H. Gargaglioni 2019/09469-8.DISCLOSURES No conflicts of interest, financial or otherwise, are declared by the authors.AUTHOR CONTRIBUTIONS L.H.G. and D.A.M. drafted manuscript; L.H.G. and D.A.M. edited and revised manuscript; L.H.G. and D.A.M. approved final version of manuscript.AUTHOR NOTESCorrespondence: L. H. Gargaglioni (luciane.gargaglioni@unesp.br); D. A. Marques (danuzia.am@gmail.com). Download PDF Previous Back to Top Next FiguresReferencesRelatedInformationREFERENCES1. Canonico M, Oger E, Plu-Bureau G, Conard J, Meyer G, Lévesque H, Trillot N, Barrellier MT, Wahl D, Emmerich J, Scarabin PY; Estrogen and Thromboembolism Risk (ESTHER) Study Group. Hormone therapy and venous thromboembolism among postmenopausal women: impact of the route of estrogen administration and progestogens: the ESTHER study. Circulation 115: 840–845, 2007. doi:10.1161/CIRCULATIONAHA.106.642280. Crossref | PubMed | Web of Science | Google Scholar2. Gargaglioni LH, Marques DA. Let's talk about sex in the context of COVID-19. J Appl Physiol (1985) 128: 1533–1538, 2020. doi:10.1152/japplphysiol.00335.2020. Link | Web of Science | Google Scholar3. Giefing-Kröll C, Berger P, Lepperdinger G, Grubeck-Loebenstein B. How sex and age affect immune responses, susceptibility to infections, and response to vaccination. Aging Cell 14: 309–321, 2015. doi:10.1111/acel.12326. Crossref | PubMed | Web of Science | Google Scholar4. Giordano Imbroll M, Gruppetta M. A current perspective into young female sex hormone replacement: a review. Expert Rev Endocrinol Metab. In press. doi:10.1080/17446651.2020.1816820. Crossref | PubMed | Web of Science | Google Scholar4a. Jakovac H. Sex differences in COVID-19 course and outcome: progesterone should not be neglected. J Appl Physiol (1985). doi:10.1152/japplphysiol.00740.2020.Link | Web of Science | Google Scholar5. Mauvais-Jarvis F, Klein SL, Levin ER. Estradiol, progesterone, immunomodulation, and COVID-19 outcomes. Endocrinology 161: bqaa127, 2020. doi:10.1210/endocr/bqaa127. Crossref | PubMed | Web of Science | Google Scholar6. Moulton VR. Sex hormones in acquired immunity and autoimmune disease. Front Immunol 9: 2279, 2018. doi:10.3389/fimmu.2018.02279. Crossref | PubMed | Web of Science | Google Scholar CollectionsAPS Cross-Journal CollectionsCoronavirus-Related Papers Related ArticlesSex differences in COVID-19 course and outcome: progesterone should not be neglected 23 Oct 2020Journal of Applied Physiology More from this issue > Volume 129Issue 5November 2020Pages 1009-1010 Copyright & PermissionsCopyright © 2020 the American Physiological Societyhttps://doi.org/10.1152/japplphysiol.00835.2020PubMed33096967History Received 30 September 2020 Accepted 1 October 2020 Published online 23 October 2020 Published in print 1 November 2020 KeywordsCOVID-19estradiolfemalemaleprogesterone Metrics publications0supporting0mentioning0contrasting0Smart Citations0000Citing PublicationsSupportingMentioningContrastingView CitationsSee how this article has been cited at scite.aiscite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made. We recommendSex differences in COVID-19 course and outcome: progesterone should not be neglectedHrvoje Jakovac, Journal of Applied Physiology, 2020The effect of estrogen in coronavirus disease 2019American Journal of Physiology - Lung Cellular and Molecular Physiology, 2021Sex-biased mechanisms of cardiovascular complications in COVID-19Georgios Kararigas, Physiological Reviews, 2021Short-term oral progesterone administration antagonizes the effect of transdermal estradiol on endothelium-dependent vasodilation in young healthy womenJennifer A. Miner, American Journal of Physiology - Heart and Circulatory Physiology, 2011Sex differences in COVID-19: candidate pathways, genetics of ACE2, and sex hormonesAnissa Viveiros, American Journal of Physiology - Heart and Circulatory Physiology, 2021Real-world effectiveness of palbociclib plus endocrine therapy in HR+/HER2− advanced breast cancer: final results from the POLARIS trial Brought to you by Pfizer Medical AffairsExpert Consensus Recommendations on the Management of Treatment-emergent Adverse Events Among Men with Prostate Cancer Taking Poly-ADP Ribose Polymerase Inhibit... Brought to you by Pfizer Medical AffairsTreatment outcomes in older patients with metastatic breast cancer receiving palbociclib plus an aromatase inhibitor: a plain language summary Brought to you by Pfizer Medical AffairsPalbociclib plus aromatase inhibitors in patients with metastatic breast cancer and cardiovascular diseases: real-world effectiveness Brought to you by Pfizer Medical AffairsTalazoparib Plus Enzalutamide in Patients With HRR-Deficient mCRPC: Practical Implementation Steps for Oncology Nurses and Advanced Practice Providers Brought to you by Pfizer Medical AffairsPowered by Privacy policyGoogle Analytics settings

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,047
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,028

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,047
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,003
Communication savante0,0030,004
Science ouverte0,0020,001
Intégrité de la recherche0,0260,032
Charge utile insuffisante (le modèle a refusé de juger)0,0050,005

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,157
Tête enseignante GPT0,384
Écart entre enseignants0,227 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2020
Routes d'admission2
Résumé présentoui

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