Have a personal or library account? Click to login
In silico analysis of the impact of toxic metals on COVID-19 complications: molecular insights Cover

Figures & Tables

Figure 1

Flow chart of the steps used to analyse the association between exposure to toxic metals and COVID-19 complications
Flow chart of the steps used to analyse the association between exposure to toxic metals and COVID-19 complications

Figure 2

Network of five genes/proteins associated with the development of COVID-19 and affected by As, Cd, Pb, Hg, Ni, and Cr and their relationship with 20 genes/proteins, identified by the GeneMANIA prediction tool (https://genemania.org). Legend: pink lines – physical interactions; purple lines – co-expression; orange lines – server-predicted interactions; blue lines – co-localisation; green lines – genetic interactions; light blue lines – shared pathway; gray-yellow lines – shared protein domains
Network of five genes/proteins associated with the development of COVID-19 and affected by As, Cd, Pb, Hg, Ni, and Cr and their relationship with 20 genes/proteins, identified by the GeneMANIA prediction tool (https://genemania.org). Legend: pink lines – physical interactions; purple lines – co-expression; orange lines – server-predicted interactions; blue lines – co-localisation; green lines – genetic interactions; light blue lines – shared pathway; gray-yellow lines – shared protein domains

Figure 3

Networks of five genes/proteins associated with the development of COVID-19 and the 20 related genes for each toxic metal separately. Legend: pink lines – physical interactions; purple lines – co-expression; orange lines – server-predicted interactions; blue lines – co-localisation; green lines – genetic interactions; light blue lines – shared pathway; gray-yellow lines – shared protein domains
Networks of five genes/proteins associated with the development of COVID-19 and the 20 related genes for each toxic metal separately. Legend: pink lines – physical interactions; purple lines – co-expression; orange lines – server-predicted interactions; blue lines – co-localisation; green lines – genetic interactions; light blue lines – shared pathway; gray-yellow lines – shared protein domains

Correlation of the 25 identified genes (five common and 20 related) with biological processes, molecular functions, pathways, and diseases associated with COVID-19 complications

CategoryNameIDp-valueGenes involved*
Molecular functioncytokine bindingGO:00199551.341E-1711
cytokine receptor bindingGO:00051262.170E-1713
cytokine activityGO:00051253.580E-1511
signalling receptor bindingGO:00051021.187E-1116
receptor ligand activityGO:00480181.952E-1111
Biological processinflammatory responseGO:00069544.830E-2823
cytokine-mediated signalling pathwayGO:00192211.992E-2519
cellular response to cytokine stimulusGO:00713451.277E-2019
response to cytokineGO:00340979.706E-2019
leukocyte migrationGO:00509008.016E-1915
PathwayKEGG cytokine receptor interactionM98091.039E-3020
reactome interleukin 10 signallingM276056.459E-2211
reactome signalling by interleukinsM8744.294E-1816
WP SARSCOV2 innate immunity evasion and cell-specific immune responseM400679.207E-1810
WP overview of proinflammatory and profibrotic mediatorsM425331.091E-1611
Diseasesusceptibility to HIV infection6094236.577E-63
malaria, susceptibility tocv:C18362306.577E-63
white blood cell count quantitative trait locus 16111625.893E-42
WHIM syndrome 2cv:C19700285.893E-42
Graft-versus-host disease, susceptibility to6118622.333E-31

Effects of As, Cd, Pb, Hg, Ni, and Cr on common genes

Toxic metalsInteractionsCXCL8IL10IL1BIL6TNF
AsExpression of mRNAN/A↓↑
Protein expression↓↑↓↑
CdExpression of mRNA↓↑↓↑↓↑
Protein expression
PbExpression of mRNAN/AN/A
Protein expression↓↑
HgExpression of mRNAN/AN/A
Protein expressionN/A
NiExpression of mRNA
Protein expressionN/A
CrExpression of mRNAN/AN/AN/A
Protein expressionN/AN/AN/A

Genes associated with COVID-19 and the investigated metals (CTD: https://ctdbase_org/)

Toxic metalsTotal number of genesGenes associated with COVID-19
Arsenic (As)4997ATP11A, BCL11A, CCL2, CCL3, CCR2, CRP, CXCL8, ICAM5, IFNAR2, IL10, IL10RB, IL1B, IL2, IL2RA, IL6, IL7, LZTFL1, MUC1, OAS1, TNF
Cadmium (Cd)5281AGT, CCL2, CCR2, CD209, CRP, CXCL8, F8, HCK, IL10, IL1B, IL2, IL6, IL7, MUC1, OAS1, SELE, TNF, UGCG
Lead (Pb)3278AGT, BSG, CCL2, CCL3, CD209, CRP, CXCL10, CXCL8, ICAM5, IL10, IL1B, IL6, TNF
Mercury (Hg)635CCL3, CCR2, CRP, CXCL8, IL10, IL1B, IL2, IL6, TNF, UGCG
Nickel (Ni)7665ACE2, AGT, BCL11A, BTK, CCL2, CCL3, CCR2, CD209, CRP, CXCL10, CXCL8, FUT2, HCK, IFNAR2, IL10, IL10RB, IL1B, IL2, IL2RA, IL6, IL7, OAS1, PLSCR1, SELE, TMPRSS2, TMPRSS4, TNF
Chromium (Cr)2353AGT, CXCL8, IL10, IL1B, IL6, TNF, UGCG
As+Cd+Pb+Hg+Ni+Cr5CXCL8, IL10, IL1B, IL6, TNF
DOI: https://doi.org/10.2478/aiht-2024-75-3819 | Journal eISSN: 1848-6312 | Journal ISSN: 0004-1254
Language: English, Croatian, Slovenian
Page range: 102 - 109
Submitted on: Jan 1, 2024
|
Accepted on: May 1, 2024
|
Published on: Jun 29, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Jovana Živanović, Katarina Baralić, Katarina Živančević, Dragica Božić, Đurđica Marić, Evica Antonijević Miljaković, Aleksandra Buha Đorđević, Marijana Ćurčić, Zorica Bulat, Biljana Antonijević, Danijela Đukić-Ćosić, published by Institute for Medical Research and Occupational Health
This work is licensed under the Creative Commons Attribution 4.0 License.