| Literature DB >> 33283188 |
Mahdi Montazer Haghighi1, Erfan Ghani Kakhki1,2, Christine Sato1, Mahdi Ghani2, Ekaterina Rogaeva1,3.
Abstract
We reviewed factors that might influence COVID-19 outcomes (eg, neurological symptoms), including the link to Alzheimer's disease. Since the virus triggers COVID-19 infection through binding to ACE2, we focused on the ACE2 gene family, including ACE. Both ACE2 and ACE are involved in the renin-angiotensin system (RAS). In general, ACE causes inflammation and vasoconstriction, while ACE2 leads to anti-inflammation activity and vasodilation. The disturbed balance between these counter-regulatory pathways could influence susceptibility to COVID-19. Notably, dysregulation of the RAS-equilibrium contributes to Alzheimer's disease. Differences in the incidence and symptoms of COVID-19 in diverse populations could be attributed to variability in the human genome. For example, ACE and ACE2 variations could modify the outcome of COVID-19 in different populations. It would be important to conduct genome-wide studies to detect variants influencing COVID-19 presentation, with a special focus on variants affecting immune-related pathways and expression of RAS-related genes.Entities:
Keywords: ACE; ACE2; Alzheimer’s disease; COVID-19
Year: 2020 PMID: 33283188 PMCID: PMC7686598 DOI: 10.1177/2633105520975743
Source DB: PubMed Journal: Neurosci Insights ISSN: 2633-1055
Figure 1.Boxplots of gene expression data obtained from Genevestigator (https://www.genevestigator.com) restricted to anatomical categories with high gene expression for: (a) ACE2, (b) TMPRSS2, and ACE (c). For each anatomical category, the figure displays the average expression values scaled to the total abundance of the transcript. The dataset used was the 432 anatomical parts from data selection: HS_AFFY_U133PLUS_2-0. The outer lines (whiskers) for each box plots indicate maximum and minimum values outside the upper and lower quartiles (colored box). The vertical line within each colored box represents the median and dots (stars) are outliers. The IQR (at the top of graph) indicates that the interquartile range is equal to the difference between the upper and lower quartiles.
Figure 2.ACE2 homologous genes: (a) human ACE2 model (in red is the position of Lys31 in the helix-1 domain, which is critical for SARS-CoV-2 virus binding), (b) human ACE model (in red is the Ser52, which is in the same position as the Lys31 of the ACE2 homologous domain), (c) the phylogenetic tree shows that there is a common ancestor for ACE2 and ACE or CLTRN, and (d) clustal omega alignment of the homologous regions of ACE2 (amino acid 20-79) and ACE (amino acid 41-100 and 644-703); the box highlights Lys31 in ACE2, which is aligned with Ser52 and Glu655 in each duplicated homologous domain of ACE.
Top-significant ACE variants associated with different traits, based on the NHGRI-EBI Catalog of published human genome-wide association studies (https://www.ebi.ac.uk/gwas/docs/about).
| Variant ID | PubMed ID (journal) | Ethnicity (sample size) | Trait | |
|---|---|---|---|---|
| rs4291 | 30578418 (Nat Genet) | European (365 998); African (63 490); Hispanic (22 802); Asian (4792); Native American (2695) | Systolic blood pressure | 1.0E-09 |
| rs4295 | 27841878 (Nat Genet) | European (295 529); African American (3058); Latino (8231); African British (2029); East Asian (7701); South Asian (2735); unknown (1979) | Systolic and Diastolic blood pressure | 1.0-4.0E-08 |
| rs4305 | 31015401 (Nat Commun) | European (31 904 cases, 172 474 controls) | Calcium channel blockers | 3.0E-13 |
| rs4308 | 28135244 (Nat Genet) | European (140 886) | Diastolic blood pressure | 7.0E-14 |
| rs4311 | 29777097 (Transl Psychiatry) | British with parental history of Alzheimer’s disease (up to 42 034) or without it (at least 272 244); Alzheimer’s disease cases (25 580); controls (48 466) | Alzheimer’s disease | 5.0E-08 |
| rs138190086 | 30820047 (Nat Genet) | European (21 982 cases, 41 944 controls) | Alzheimer’s disease | 5.0E-09 |
| rs4325 | 23093944 (PLoS Genet) | European (1678) | Serum metabolite levels | 1.0E-11 to 3.0E-12 |
| rs4329 | 21886157 (Nature) | European (2820) | Metabolic traits | 8.0E-20 |
| rs4343 | 24816252 (Nat Genet) | European (up to 5591) | Blood metabolite ratios | 1.0E-37 |
| 24625756 (PLoS Genet) | African American (1260) | Serum metabolite levels | 8.0E-14 to 9.0E-25 | |
| 23093944 (PLoS Genet) | European (1678) | Serum metabolite levels | 1.0E-16 | |
| 20066004 (Pharmacogenomics J) | Han Chinese hypertensive cases (400) | Angiotensin-converting enzyme activity | 3.0E-25 | |
| rs4344 | 30072576 (Science) | European (3200) | Blood protein levels | 9.0E-136 |
| rs4351 | 24816252 (Nat Genet) | European (7824) | Blood metabolite levels | 1.0E-14 to 4.0E-22 |
| 23281178 (Hum Mutat) | European prostate cancer (214 cases, 188 controls) | Metabolite levels | 9.0E-13 | |
| 23093944 (PLoS Genet) | European (1678) | Serum metabolite levels | 4.0E-14 to 5.0E-15 | |
| rs4362 | 24816252 (Nat Genet) | European (7824) | Blood metabolite levels | 1.0E-21 |