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Relationship: 983
Title
Increase, Vascular Resistance leads to Hypertension
Upstream event
Downstream event
AOPs Referencing Relationship
| AOP Name | Adjacency | Weight of Evidence | Quantitative Understanding | Point of Contact | Author Status | OECD Status |
|---|---|---|---|---|---|---|
| Peptide Oxidation Leading to Hypertension | adjacent | Moderate | Low | Brendan Ferreri-Hanberry (send email) | Not under active development | Under Development |
Taxonomic Applicability
Sex Applicability
| Sex | Evidence |
|---|---|
| Unspecific | High |
Life Stage Applicability
| Term | Evidence |
|---|---|
| Adults | High |
Hypertension is characterized partly by elevated systemic vascular resistance which is caused by alterations to vascular tone (towards vasoconstriction) over time (Lee and Griendling, 2008). As blood vessels constrict, the available volume in the vessel lumen for blood flow is restricted, resulting in elevated blood pressure.
Note : The role of the heart in the maintenace (and change) of blood pressure over time is not part of this AOP, however it is of critical importance for the development of hypertension.
| ID | Experimental Design | Species | Upstream Observation | Downstream Observation | Citation (first author, year) | Notes |
|---|
| Title | First Author | Biological Plausibility |
Dose Concordance |
Temporal Concordance |
Incidence Concordance |
|---|
Biological Plausibility
Dose Concordance Evidence
Temporal Concordance Evidence
Incidence Concordance Evidence
Uncertainties and Inconsistencies
One study showed that infusion of L-NMMA (6 mg/kg) resulted in increased SVR and only a modest increase in blood pressure. Changes in diastolic blood pressure were observed to be more pronounced in healthy men, than systolic blood pressure (Brett et al., 1998), and infusion of L-arginine (an eNOS substrate) had no significant effect.
As mentioned above, other AOPs are necessary to capture understanding and assess the evidence surrounding the roles of the heart, kidney and nervous system in order to get the full picture of the linkage between chronic changes in SVR and hypertension.
Is it known how much change in the first event is needed to impact the second? Are there known modulators of the response-response relationships? Are there models or extrapolation approaches that help describe those relationships?
Mean arterial pressure is calculated from cardiac output and SVR. Therefore, theoretically, any change in SVR will impact the mean arterial pressure. The studies mentioned above showed that a small change for SVR such as from 31±2 (arbitrary units) at baseline to 35 ± 2 was able to change the arterial pressure from 86±2 mmHg to 91±2 mmHg (Wilkinson et al., 2002). This trend was also observed by Stamler et al. (1994) and McVeigh et al. (2001).
Response-response Relationship
Time-scale
Known Feedforward/Feedback loops influencing this KER
Studies supporting this key event relationship were performed in humans and rats.