| Literature DB >> 32698249 |
Claudia Penna1,2, Valentina Mercurio3, Carlo G Tocchetti3,4, Pasquale Pagliaro1,2.
Abstract
Many countries have been affected by the worldwide outbreak of COVID-19. Among Western countries, Italy has been particularly hit at the beginning of the pandemic, immediately after China. In Italy and elsewhere, women seem to be less affected than men by severe/fatal COVID-19 infection, regardless of their age. Although women and men are affected differently by this infection, very few studies consider different therapeutic approaches for the two sexes. Understanding the mechanisms underlying these differences may help to find appropriate and sex specific therapies. Here, we consider that other mechanisms are involved to explain this difference, in addition to the protection attributable to oestrogens. Several X-linked genes (such as ACE2) and Y-linked genes (SRY and SOX9) may explain sex differences. Cardiovascular comorbidities are among the major enhancers of virus lethality. In addition, the number of sex-independent, non-genetic factors that can change susceptibility and mortality is enormous, and many other factors should be considered, including gender and cultural habits in different countries.Entities:
Keywords: ACE; ACE2; androgens; cardiovascular comorbidities; coronavirus; oestrogens
Mesh:
Substances:
Year: 2020 PMID: 32698249 PMCID: PMC7405496 DOI: 10.1111/bph.15207
Source DB: PubMed Journal: Br J Pharmacol ISSN: 0007-1188 Impact factor: 9.473
Cases and fatality of severe Covid 19 in men and women in Italy and China
| Number of patients/Covid+ patients | ICU/severe cases | Deceased | Median age of severe/deceased patients | References | |
|---|---|---|---|---|---|
| Total Covid+ | 131,751 | ‐ | 14,860 | 80 |
|
| Men | 69,960 (53.1%) | ‐ | 10,062 (67.7%) | 78 | |
| Women | 61,791 (46.9%) | ‐ | 4,798 (32.3%) | 82 | |
| Total of patients | 1,096 | 173 | ‐ | 52 | Guan et al. ( |
| Men | 637(58.1%) | 100 (57.8%) | ‐ | ‐ | |
| Women | 459 (41.9%) | 73 (42.2%) | ‐ | ‐ | |
| Total of patients | 191 | ‐ | 54 | 69 | Zhou, Yu, et al. ( |
| Men | 119 (62%) | ‐ | 38 (70%) | ‐ | |
| Women | 72 (38%) | ‐ | 16 (30%) | ‐ | |
| Total of patients | 99 | 23 (23%) | 11 (11%) | 55.5 | Chen, Zhou, et al. ( |
| Men | 67 (68%) | ‐ | ‐ | ‐ | |
| Women | 32 (32%) | ‐ | ‐ | ‐ | |
| Total of patients | 138 | 36 | 6 (4.3%) | 56 | Wang et al. ( |
| Men | 75 (54%) | 22 (64.1%) | ‐ | ‐ | |
| Women | 63 (45.7%) | 14 (38.9%) | ‐ | ‐ | |
| Total of patients | 41 | 13 | 6 (15%) | 49 | Huang et al. ( |
| Men | 30 (73%) | 11 (85%) | ‐ | ‐ | |
| Women | 11 (27%) | 2 (15%) | ‐ | ‐ | |
| Total of patients | 274 | 113 | 68 | Chen, Wu, et al. ( | |
| Men | 171 (62%) | 83 (73%) | |||
| Women | 103 (38%) | 30 (27%) |
Summary of factors that may be involved in the different response to SARS‐CoV‐2 between sexes
| Gene | Function/role in viral infection | References |
|---|---|---|
| X‐linked | ||
| ACE2 | Antioxidant anti‐inflammatory enzyme‐receptor of Sars‐Covs | Pagliaro and Penna ( |
| ILs | Cytokines involved in the regulation of the immune response | |
| FOXP3 | Transcription factor involved in the development and function of regulatory T cells | |
| XIST | ||
| TLRs | Receptor involved in pathogen recognition and activation of the innate immunity | |
| CXCR3 | ||
| Y‐linked | ||
| TMPRSS2 | Transmembrane protease promotes cell entrance of coronavirus | Tomlins et al. ( |
| SRY | Encodes for proteins involved in the immune response during viral infections | |
| SOX9 | Encodes for proteins involved in the immune response to viral infections | |
|
|
| |
| Oestrogens | Setlur et al. ( | |
| ACE2 | Up‐regulation in several tissues (e.g., lungs and heart) | |
| TMPRSS2 | Fusion of the promoter region of TMPRSS2 gene to the coding region of ERG | |
| DEGs | Up‐regulation of C3 and EDN1 | |
| Down‐regulation of PDK4 and VTCN1 | ||
| Androgens | Tomlins et al. ( | |
| TMPRSS2 | Up‐regulation in several tissues (e.g., prostate cancer) | |
| DEGs | Up‐regulation of CCL20 and CXCL1 | |
| Down‐regulation of THBD, HEY2, BBOX1, and MYLK |
Abbreviations: BBOX1, γ‐butyrobetaine hydroxylase 1; C3, complement C3; DEGs, differentially expressed genes; EDN1, endothelin 1; ERG, v‐ets erythroblastosis virus E26 oncogene homolog (avian); FOXP3, forkhead box transcription factor; HEY2, hairy/enhancer‐of‐split related with YRPW motif protein; MYLK, myosin light chain kinase; PDK4, pyruvate dehydrogenase lipoamide kinase isozyme 4; SOX9, sex‐determining region Y box 9; SRY, sex‐determining region Y; THBD, thrombomodulin; TLRs, Toll‐like receptors; TMPRSS2, transmembrane protease serine 2; VTCN1, V‐set domain containing T cell activation inhibitor 1; XIST, X inactive specific transcript.
FIGURE 1Possible role of ACE/ACE2 ratio in therapies against COVID‐19 in the two sexes. It has been proposed that pathological conditions presenting with a high ACE/ACE2 ratio predispose towards worse COVID‐19 outcomes (Gemmati et al., 2020; Pagliaro & Penna, 2020). ACE2 is a membrane‐bound enzyme, whose gene lies on the X chromosome and is up‐regulated by oestrogens in males and females. Throughout the body, the ACE/ACE2 ratio may be lower in women than in men, and this is theoretically protective because of the anti‐inflammatory properties of ACE2. However, it must be kept in mind that ACE2 in the lung may act as the entry gate for COVID‐19, and the ACE/ACE2 ratio may be different in tissues and organs, and that this ratio is influenced by many factors including, exercise, ageing, and diseases (Crisafulli & Pagliaro, 2020). Therefore, more studies are necessary to clarify the role of the ACE/ACE2 ratio in the two sexes