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Relationship: 2831

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

ACE2 dysregulation leads to (Micro)vascular dysfunction

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Viral spike protein interaction with ACE2 leads to microvascular dysfunction, via ACE2 dysregulation adjacent Julija Filipovska (send email) Under Development: Contributions and Comments Welcome

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help

Sex Applicability

An indication of the the relevant sex for this KER. More help

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

ACE2, is a carboxypeptidase with broad substrate specificity that deactivates or generates active biological peptides such as Angiotensin II (Ang II), Angiotensin 1-7 (Ang1-7), des-Arg9-bradykinin (DABK) but also others (10.1042/BJ20040634; 10.1074/jbc.M200581200; 10.1002/path.2162). These bioactive peptides and their receptors constitute the Renin Angiotensin (RAS) andKinin Kallikrein Sytem  (KKS) which represent balancing regulatory networks of the vascular tone, inflammation, cell activation/proliferation, tissue remodelling and pain (10.1152/ajpheart.00723.2018; 10.3389/fnins.2020.586314).

This KER aims to summarise the evidence that addresses the relationship between ACE2 dysregulation and microvascular dysfunction as the vasculature represents one of the main targets of the RAS system (10.1152/ajpheart.00723.2018).

This KER was developed as part of the CIAO project (www.ciao-covid.net) and is therefore it focused mainly on one stressor of ACE2 dysregulation (SARS-COV2 and its spike protein which is the viral protein that binds to ACE2). Additional relevant evidence on the same or other stressors are welcomed.

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Initially this KER was developed within the CIAO project and therefore evidence selection strategy focused on SARS-CoV2 as a stressor, i.e. mediator of ACE2 dysreguation.

Initial identification of relevant literature was more inclusive and did not speify SARS-CoV:

PubMed search ((((vascular[Title/Abstract]) OR (vasculitis[Title/Abstract])) OR (microvascular[Title/Abstract])) AND (ACE2)) NOT (review[Publication Type]) on 20 July 2021. Wikly alerts were set up for new references.

Initially 362 references identified and screened for studies that measure both ACE2 and any aspect of microvascular dysfunction. Initially 32 references were considered for this KER. Even if one of the endpoints (e.g. ACE2 dysregulation) was not directly measured, if the stressor SARS-CoV2 or SARS-CoV2 spike protein was used, the evidence was considered with an appropriate note.

Additional studies identified as: (i) follow up on screened references, (ii) from wikley alerts based on the initial search syntax (currently screened the alerts between 19/6/22 to 19/2/23), (iii): identified as relevant from different information channels (e.g. Linkedin), were also included even if they did not appear in the literature PubMed searches.

Evidence Supporting this KER

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help
Biological Plausibility
Addresses the biological rationale for a connection between KEupstream and KEdownstream.  This field can also incorporate additional mechanistic details that help inform the relationship between KEs, this is useful when it is not practical/pragmatic to represent these details as separate KEs due to the difficulty or relative infrequency with which it is likely to be measured.   More help

Microvascular dysfunction manifesting as vasculitis of the small blood vessels in different organs has been identified in COVID19 patients in a number of studies (e.g. 10.1016/j.ebiom.2020.10318 10.1056/NEJMoa2015432; 10.1016/j.anndiagpath.2020.151645).

Angiotensin Converting Enzyme 2 (ACE2) is recognised as the main receptor for the COVID19 causing SARS-CoV2 virus. In particular the viral spike (S) protein binds to ACE2 mediating viral entry (10.1016/j.cell.2020.02.052; 10.1128/JVI.00127-20) although other receptors or less specific (recognizing glycans on the virion surface of many viruses rather than specific viral protein) to mediators of viral entry have also been suggested (10.1002/rmv.2207; 10.3390/v14112535).

ACE2 is also known to be a cell receptor for SARS-CoV (10.1038/nature02145) although its spike protein shows ~10- to 20-fold lower binding affinity for ACE2 (10.1126/science.abb2507). Evidence from SARS patients is nowhere near that for COVID19, but some evidence of multiorgan injury, including to systemic vacuities has been reported (10.1002/path.1440).

ACE2, is a carboxypeptidase with broad substrate specificity that deactivates or generates active biological peptides such as Angiotensin II (Ang II), Angiotensin 1-7 (Ang1-7), des-Arg9-bradykinin (DABK) but also others (10.1042/BJ20040634; 10.1074/jbc.M200581200; 10.1002/path.2162). These bioactive peptides are involved in regulating vascular tone, inflammation, cell activation/proliferation and tissue remodelling via their receptors Angiotensin II receptor 1 (AT1R), Angiotensin II receptor 2 (AT2R), Mas-Related G Protein-Coupled Receptor (Mas) (10.1152/ajpheart.00723.2018; 10.3389/fnins.2020.586314).

Therefore it is plausible to explore the evidence examining spike protein-mediated dysregulation of ACE2 on aspects of (micro)vascular dysfunction.

Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help

Uncertainties:

It is difficult to decipher or generalise which if any particular cell type in the (micro)vasculature represent a key factor in the putative spike-protein mediated (micro)vasculature dysfunction, particularly because the expression of ACE2 varies significantly in the cell systems used, (see Table below). Closer analysis is needed regarding the reagents/antibodies used in these studies and comparative characterisation of the experimental systems, as it appears that ACE2 expression may depend on the dimensionality (2D/3D, co-cultures) but also the dynamics (medium flow or stasis) of the test system.

Notably, ACE2 expression in HBMEC & HUVEC perfusion culture is stimulated by flow (HBMEC < HUVEC) (qRT-PCR); also it is increased by flow intensity and vessel shape in the MCA 3D model of stenosis (immunostaining cells) [10.1161/STROKEAHA.120.032764].

Single­cell RNA­seq analysis of quiescent mouse endothelial cells isolated from different tissues by flow cytometry without the cell culture step, does not identify ace2 enrichment in the ECs from any of the mouse tissues while ace is one of the top-50 marker genes in ECs from arteries in the brain, testes and small intestine. scRNAseq of primary cell cultures from EC from human lung identified similar cell subpopulations and marker genes in mice and human, but interestingly, scRNAseq of commercially available primary lung ECs demonstrated a loss of their native lung phenotype in culture . (Schupp 2021 - 10.1161/CIRCULATIONAHA.120.052318). 10.1038/s41419-020-03252-9

There are also some apparently conflicting results. For example although [10.1016/j.nbd.2020.105131] shows S-mediated increase of many markers of MV dysfunction, without evidence for any change in ACE2 levels as measured by Western blot of cell culture lysates. This suggests that although the effect is spike protein mediated it may not necessarily be ACE2 mediated and that other receptors for S protein may be involved in MV.

Cell lines

Type of cells

From

ACE2 expressed

ACE2 detection assay

ref

hBMVEC

microvascular endothelial

Brian/human

+

Cell lysate (Ab)

10.1016/j.nbd.2020.105131

hCMEC

microvascular endothelial

Brian/human/immortalised

+

Cell lysate (Ab)

 

HBMECs

microvascular endothelial

Brian/human

-/+

 

basal level of ACE2 in CD31+ endothelial brain cells in monocultures was very low but still visible by immunocitostaining in both cell types. Interestingly expression was perinuclear not at the cell membrane.

ACE2 expression in HBMEC & HUVEC perfusion culture is induced by flow (HBMEC < HUVEC) [qRT-PCR]; also it is increased by flow intensity and vessel shape in the 3D printed model of middle cerebral artery, particularly of stenotic parts [immunostaining cells]

10.1161/STROKEAHA.120.032764

HUVEC

vascular endothelium

Umbilical cord/human

HUVEC-TERT

vascular endothelium

Umbilical cord/human

-

Cell lysate (Ab)

10.1021/acscentsci.0c01537

A549

epithelium

Lung/carcinoma

+

Cell lysate (Ab)

 

HPMEC

Microvascular Endothelial

Lung/human

-/+

 

almost undetectable in quiescent HPMEC lysates so they did the studies in HeLa transfected with hACE2

Cell lysate (Ab)

10.1165/rcmb.2020-0544OC

 

HULEC-5a

microvascular endothelial

Lung/human

-/+?

Cell lysate (Ab)

(Ab in this study is not detecting ACE2 in A549, to check if ACE2 in these carcinoma cells is dACE2 and the Ab is against the ectodomain?)

10.1038/s41419-020-03252-9

HUVEC

vascular endothelium

Umbilical cord/human

-

A549

epithelium

Lung/carcinoma

-

HPAEpiC

epithelial cell line - AT2 cell-derived

Lung/human

+

Cell culture

Type of cells

Organ origin

ACE2 expressed

ACE2 detection assay

ref

Primary culture

microvascular endothelial

Lung/human

Not measured

 

but TER affected after S1 subunit-treatment (less by flS)

n/a

10.1152/ajplung.00223.2021

Primary culture

Endothelial

hPMECs

hBMECs

hCMECs

hGMECs

HUVECs

Multiple  pulmonary

Brain

Cardiac

Glomerular

Umbilical

-

 

(only HUVEC show a staining at 80K not at control 130K of Vero-E6 and CAlU3)

[protein-Wstern and mRNA-qRT-PCR]

10.1128/mBio.03185-20

Primary culture

HUVECs

Note: HUVECS were compared with several placental cell lines (JAR –epithelial carcinoma, BeWo -  Oligodendroglioma and  HTR-8/SVneo – vili SV40 transfomed )

HUVEC had highest  mRNA but low whole cell and surface expression of  ACE2 compared to the other cells, particularly the epithelial JAR

Nice comparison of mRNA (rqRT-PCR), whole cell protein (Western) and surface protein (FACS-SCAN) in several cell tipes in the same experiment.

10.4081/monaldi.2022.2213

Organoids

Type of cells

Organ origin

ACE2 expressed

ACE2 detection assay

ref

endothelial (CD31+), also characterised as UAE1+, or CD144+ in some experiments

pericytes (CD140b+NG2+)

fibroblast (CD140b+NG2- )

Induced pluripotent stem cells

pirocutes >> ECs

Immunocytostaining and microscopic fluoresecence analysis of organoid sections.

collocalisation with cell specific markers analysis.

10.1093/cvr/cvac097

Additional uncertainty in this KER evidence analysis is that most of the studies that use various cultured endothelial cell models, do not specifically measure/identfy ACE2 dysregulation aspects in the same time and binding of S-protein to ACE2 is often assumed. In fact, infection of endothelial cells by SARS-CoV2 is still debated. [10.1021/acscentsci.0c01537] show that ACE2 is expressed at very low level in HUVEC-TERT, immortalised umbilical endothelial cell culture. In contrast two C-type lectin receptors, CD209L (also known as L-SIGN) and CD209 (also known as DC-SIGN), are highly expressed. CD209L and CD209 bind spike RBD domain and mediate SARS-CoV-2 entry into HUVEC-TERT (demonstrated by interference with CD209L). Thus, while endothelial cells may be permissive to SARS-CoV-2 entry/replication, the involvement of ACE2 in these undifferentiated cells in monolayer culture, is uncertain. The same study demonstrates that, when expressed, ACE2 mediates pseudovirus entry more efficiently and in vitro binds S-protein RBD with higher affinity than CD209L and CD209 [10.1021/acscentsci.0c01537].

Sumilarly, [10.3390/ijms231810436 ] that demonstrates effect of spike treatment on a number of markers of endothelial dysfunction in HLMEC alone, or in co-culture with neutrophils also does not characterise the test system for ACE2 status or time concordance with any potential ACE2 dysregulation in either of the cell types in the co-culture. Such characterisation would be helpful in understanding the primary target of the viral or abortive spike-containing particles, as well as the intercellular paracrine interactions driving adversity at tissue level.

Therefore, although in some studies the dependence of aspects of (micro)vacular dysfunction on ACE2 is demonstrated [10.1128/mBio.03185-20], the type of ACE2 dysregulation/effect (upregulation/downregulation) that could be related to the observed aspect of (micro)vascular dysregulation is not clear.

Other plausible mechanisms:

Viral replication and inflammation-related oxidative stress are also explored as significant factors in coagulation and DIC following SARS-CoV-2 infection/stress and may be more direct drivers of the (micro)vascular dysfunction compared to ACE2 dysregulation. Consistent with this, [10.1128/mBio.03185-20] find that primary cultures of scattered endothelial cells derived from microvascular tissue from different organs, express very low levels of ACE2 (if any) and cannot be infected by SARS-CoV2. However, when transduced to overexpress hACE2 they could be infected and the interaction with the replicating virus led to stimulation of mRNA synthesis for coagulation and pro-inflammatory mediators: tissue factor (TF), thrombomodulin (TM), tumour necrosis factor alpha (TNFa), interleukin 6 (IL-6), IL-1b, and E-selectin (qRT-PCR assay following 6h interval time course from 0-24hpi showing significant stimulation for TF and TNFa, as early as 6hpi and for the rest of the mediators  at latter time points). E selectin was also stimulated early with pick at 12hpi. In human heart tissue of COVID-19 infected patients ACE2 immuno-histological staining showed increasing expression towards the small vessels:  capillaries >> arterioles/venules. The main coronary arteries were virtually devoid of ACE2 receptor [10.1016/j.ebiom.2020.103182]. In the same study, staining of harts from influenza infected patients showed much lower expression of ACE2 even in capillaries, and in small vessels, practically the same in coronary artery.

ACE2 is known to be upregulated by other inflammation, hypoxia and synthetic dsRNA, poly(I:C) (Ziegler, 2020, Smith, 2020; Salka 2021, Zhuang 2020, indicating that inflammation, low oxygen levels and viral replication ma precede or in parallel potentiate ACE2 mediated MV dysfunction by increasing the ACE2 levels in the MV cells which then maintain viral infection cycle but also govern MV dysfunction via spike-protein binding mechanism in the surviving cells.

ACE2 independent (though spike-mediated) mechanisms leading to microvasuclar disfunction (TEER disruption), have also been suggested [10.1038/s41467-022-34910-5]. In this study human pulmonary microvascular endothelial cells (HPMEC) were used as a representative endothelial cell relevant to COVID-19 pathology that do not endogenously express ACE2 and are not permissive to SARS-CoV-2 infection (as demonstrated by the authors in their study). That allowed them to separate viral replication from S-mediated dysfunction and compare them to transfected ACE2 overexpressing line of HPMEC and also HPMEC in which ace2 gene was disrupted by CRISPR-Cas9. The alternate mechanism appears to involve perturbation of surface levels of key endothelial glycocalyx layer (EGL) components, including sialic acid (SIA), heparan sulfate (HS), hyaluronic acid (HA), and chondroitin sulfate (CS) (immunofluorescence staining) and EGL-degrading enzymes such as hyaluronidase and neuraminidase. Integrins and TGFbeta sugnaling also appar essencial for tis mechanism. Intradermal and intranasal administration of recombinant spike protein also appeared to disrupt endothelial barrier function in vivo in leak models in WT C57BL/6 mice which do not express human ACE2 and are not permissive to infection by most SARS-CoV-2 variants. Binding of spike protein to alternative (co)receptors including integrins and heparin sulfate has been implicated as well [10.3390/v13040645; 10.1016/j.cell.2020.09.033]. It should be noted that in some test systems ACE2 mRNA was up-regulated as a result of spike treatment in vitro (eg. 80% confluent HUVEC cell [10.1016/j.jbc.2022.101695s]) even though the initial spike interaction was likely to an alternative receptors leading to activation of the quiescent endothelium. Resulting ACE2 up-regulation and/or activation of quiescent endothelium could initiate additional and parallel ACE2 dependent perturbations leading to vascular dysfunction [10.1021/acscentsci.0c01537].Contribution of the effects of the activation of the adaptive immune response to spike and other viral components or endogenous host prpteins relevant to (micro)vascular dysfunction  is possible but not explored sufficiently by this evidence collection strategy, although it has been indicated [10.3390/pathophysiology29020021; 10.3389/fimmu.2022.906063]

Gaps:

Overall, the studies with more differentiated 2D/3D cultures and recombinant S protein as a stressor, strongly suggest that spike-mediated ACE2 dysregulation could also, in part lead to aspects of (micro)vascular dysfunction. The initial target cells still remain to be elucidated. This may vary in different organs. Notably, a very recent cell atlas of adult human myocardium made by single nuclear transcriptome analysis found that the highest level of ACE2 mRNA in the heart was found in the pericytes a type of perivascular mural cells [10.1093/cvr/cvaa078]. Therefore, more complex and better characterised in vitro, optimally microfluidic dynamic systems, are needed to better understand molecular and cellular aspects of SARS-CoV-2, spike protein-mediated or more general toxicity (including general inflammation) -mediated (micro)vascular dysfunction. One potentially very useful system has already been described. [10.1016/j.cell.2020.04.004] developed human capillary organoids from induced pluripotent stem cells (iPSCs). They resembled human capillaries with a lumen, CD31+ endothelial lining, PDGFR+ pericyte coverage, as well as formation of a basal membrane. Consistent with [10.1021/acscentsci.0c01537} these organoids were permissive to SARS-CoV-2 infection and replication that could be significantly but only partially blocked by soluble human recombinant ACE2 in a dose dependent manner. However, the target cell and the ACE2 status of the different cells in the organoids are not reported and authors discuss the possibility that there might be other co-receptors/auxiliary proteins or even other mechanisms by which viruses can enter cell.

However, in another iPCS derived organoid system with characterised ACE2 expression, authors show that perycites express significantly higher levels of ACE2 also show preferential uptake of viral particles. In addition productive infection of perycites has been found in primary cultures of cardiac perycites in vitro and in hart tissue from COVID-19 patents [10.1016/j.jacbts.2022.09.001].

In addition, the role of microparticles (MPs) and microvesicles (MV) in mediating intercellular communication or its perturbation need to be examined in more detail.  [10.1152/ajpheart.00409.2022] show that plasma MV from platelet and white blood cell origin contain high amounts of ACE2 that binds the spike protein of SARS-CoV-2. MVs also contain other adhesion moolecules (eg. Tissue Factor- CD152 ) mediating EC adhesion and alternative entry pathway by endocytosis for viral or abortive spike-containing particles with affinity for ACE2, ultimately leading to activation and dysfunction of the EC and micro(vsculature). It is interesting that [10.1152/ajpheart.00409.2022] found difference in the ACE2 containing MVs between normal and diabetic patients which have increased incidence of severe and fulminant COVID-19.

Extracellular vesicles (EVs) including microvesicles (MVs) and exosomes can also mediate cell–cell signalling in a paracrine and/or even endocrine mechanism via their protein and RNA cargo (10.1093/nar/gky985; 10.1016/j.cell.2016.01.043). Non coding RNAs such as microRNAs (miRNA or miR) have been implicated in various biological processes including angiogenesis and vascular dysfunction (10.1530/VB-19-0009). A number of miRs (eg miR122, miR143, miR155, miR181a and miR1246, miR421) have also been implicated in regulation of ACE2 in different tissues and plasma (10.1016/j.ncrna.2020.09.001; 10.1016/j.yjmcc.2020.08.017; 10.1016/j.omtn.2022.06.006; 10.1042/CS20130420). Therefore interference with the expression of relevant miRs by exogenous stressors, including RNA viruses, LPS or dysregulated endogenous signalling molecules (eg. vasoactive peptides) can potentially lead to ACE2 dysregulation and (micro)vascular dysfunction and need to be examined in greater detail.

Finally, the distribution and role in (micro)vascular dysfunction, of the receptors for the substrates and products of ACE2 need to be investigated in these systems to better elucidate a potential link with up- or down-regulation of ACE2 function locally and/or systemically. Test systems that could monitor activation of the complement system proteins would also be valuable.

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help
Response-response Relationship
Provides sources of data that define the response-response relationships between the KEs.  More help
Time-scale
Information regarding the approximate time-scale of the changes in KEdownstream relative to changes in KEupstream (i.e., do effects on KEdownstream lag those on KEupstream by seconds, minutes, hours, or days?). More help
Known Feedforward/Feedback loops influencing this KER
Define whether there are known positive or negative feedback mechanisms involved and what is understood about their time-course and homeostatic limits. More help

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

References

List of the literature that was cited for this KER description. More help