| Literature DB >> 33336824 |
Sven Kurbel1,2,3,4.
Abstract
This renin-angiotensin system (RAS) interpretation is focused on differences in tissue dependence on RAS and on the topological hierarchy that allows mediators to act only on downstream tissues. Dependence of tissues on RAS: Tested by expectation maximization clustering of the RNA human tissue expression (https://biogps.org/). ACE and vasoconstrictive AT1R clustered with the prorenin receptor. ACE2 and dilatory MAS1 clustered with nine RAS-related genes, highly expressed in: Liver; Cardiac_Myocytes; Skeletal_Muscle; Uterus; Kidney; Lung; Small_Intestine; Smooth_Muscle. RAS and stress accumulation: While prorenin is active after binding to its receptor, binding of soluble renin increases its enzymatic activity several times. Increased renin secretion multiplies the overall capacity for producing Ang I, leading to hypertension and increased vascular resistance. Coronavirus infection and comorbidities: Cardiorespiratory failure during infection is linked to the previously altered RAS role in lungs and myocardium. Reduced vasodilation by ACE2 lead to vasoconstriction and suboptimal tissue perfusion patterns. Also see the video abstract here https://www.youtube.com/watch?v=Jf0Iped-Mws.Entities:
Keywords: Corona viruses; SARS; allostasis; arterial hypertension; renin-angiotensin-aldosterone system
Mesh:
Substances:
Year: 2020 PMID: 33336824 PMCID: PMC7883080 DOI: 10.1002/bies.202000112
Source DB: PubMed Journal: Bioessays ISSN: 0265-9247 Impact factor: 4.653
The results of ANOVA for continuous variables, calculated for two EM clusters that divide 60 tissue samples, selected from the data of RNA expression (https://biogps.org/).[ , ]
| RNA expression | ANOVA for continuous variables | ||||||
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| RAS component gene | Dataset name | Between sum of squares | df | Within sum of squares | df | F |
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| “Constriction” EM clusters from Figure | |||||||
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| AT1R | 208016_s_at | 1172.95753 | 1 | 1411.7723 | 58 | 48.18875 | 0.00000 |
| “Perfusion” EM clusters from Figure | |||||||
| Renin | 206367_at | 20 | 1 | 58 | 58 | 20.26553 | 0.00003 |
| ReninBP | 206617_s_at | 31 | 1 | 121 | 58 | 14.67651 | 0.00032 |
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| AT2R | 207293_s_at | 5 | 1 | 22 | 58 | 12.07863 | 0.00097 |
| ACE2 | 222257_s_at | 299 | 1 | 2413 | 58 | 7.18629 | 0.00955 |
| MAS1 | 208210_at | 40 | 1 | 296 | 58 | 7.75939 | 0.00721 |
| ET‐1 | 218995_s_at | 52415 | 1 | 385990 | 58 | 7.87601 | 0.00681 |
| ET‐1 RecA | 216235_s_at | 826 | 1 | 1700 | 58 | 28.19492 | 0.00000 |
| ET‐1 RecB | 204271_s_at | 32603 | 1 | 102602 | 58 | 18.43008 | 0.000068 |
| TSP1 | 201110_s_at | 1798934 | 1 | 20770724 | 58 | 5.02333 | 0.028850 |
“Constriction” EM clusters use only three genes, while “perfusion” clusters use ten genes. Only expressions of ACE and of prorenin receptors were found important in both instances of EM clustering.
Distribution of 60 human tissue samples, selected from the data of RNA expression (https://biogps.org/),[ , ] according to two instances of EM clustering, presented as two pairs of clusters of high and low RNA expression for tested RAS and related genes
| Distribution of 60 tissue samples based on two EM clustering | “Perfusion” EM clusters from Table | |||
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| High expression | Low expression | Total number of tissue samples | ||
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“Constriction” EM clusters from Table ProreninRec. ACE, AT1R | High expression |
High expression of both clusterings (4 samples):
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High expression of the “constriction” clustering (14 samples):
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| Low expression |
High expression of the “perfusion” clustering (17 samples):
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Low expression of both clusterings (25 samples):
| 42 | |
| Total number of tissue samples | 21 | 39 | 60 | |
Coronavirus infections targeting ACE2 molecules can then be particularly damaging in tissues that showed high expression of “perfusion” clustering genes in both tested samples (shown in gray cells): liver; cardiac myocytes; skeletal muscle; uterus; kidney; lung; small intestine and smooth muscle.
FIGURE 1Based on only three genes linked to the vasoconstrictory RAS actions, EM clustering identified two clusters of RNA expression for 60 human tissue samples. ANOVA significance is shown in Table 1 and involved tissues are listed in Table 2
FIGURE 2Based on ten genes linked to the vasodilatory RAS actions, EM clustering identified two clusters of RNA expression for 60 human tissue samples. ANOVA significance is shown in Table 1 and involved tissues are listed in Table 2
Changes in the vascular resistance in various organs are calculated for a normal person (while resting and during exercise) and for a hypertensive patient (resting and during fever)
| Normotensive person | Older hypertensive patient with a large allostatic load | |||||||||
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| During rest (ΔP = 97 mmHg) | Exercise (ΔP = 100 mmHg) | During rest (ΔP = 110 mmHg) | Fever (ΔP = 110 mmHg) | |||||||
| Circulatory circuit | Organs | Mass | Blood flow | Vascular resistance | Blood flow | Vascular resistance | Blood flow | Vascular resistance | Blood flow | Vascular resistance |
| kg | l/min | MPas/m3 | l/min | MPas/m3 | l/min | MPas/m3 | l/min | MPas/m3 | ||
| Peripheral circuit (data in grey cells from the ref. | Liver | 2.6 | 1.50 | 517.33 | 1.50 | 533.33 | 1.50 | 586.67 | 1.50 | 586.67 |
| Kidneys | 0.3 | 1.26 | 615.87 | 1.26 | 634.92 | 1.26 | 698.41 | 1.26 | 698.41 | |
| Brain | 1.4 | 0.75 | 1034.67 | 0.75 | 1066.67 | 0.75 | 1173.33 | 0.75 | 1173.33 | |
| Skin | 3.6 | 0.46 | 1676.03 | 0.46 | 1727.86 | 0.46 | 1900.65 | 2.50 | 352.00 | |
| Skeletal muscle | 31 | 0.84 | 923.81 | 8.00 | 100.00 | 0.84 | 1047.62 | 2.00 | 440.00 | |
| Heart muscle | 0.3 | 0.25 | 3104.00 | 0.75 | 1066.67 | 0.25 | 3520.00 | 0.75 | 1173.33 | |
| Rest of the body | 23.8 | 0.34 | 2302.67 | 0.34 | 2373.89 | 0.34 | 2611.28 | 0.34 | 2611.28 | |
| Whole body |
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| Pulmonary circuit (ΔP = 9 mmHg) |
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The cardiac output adapts to the ever changing integrated resistance of all vessels. Calculated resistance values suggest that organs adapt their vascular resistance to maintain normal perfusion rates and hydrostatic capillary pressure. This means that increased allostatic load can lead to hypertension that will be compensated by increased resistance. This builds up the pressure reserve in the arterial tree that might improve acute physical responses and accelerate atherosclerosis. Pulmonary resistance needs to be protected from vasoconstrictors in the systemic circulation in febrile patients with allostatic loads. Otherwise, the pulmonary circuit might become the circulatory bottleneck, leading to compromised perfusion patterns and blood oxygenation in lungs
A possible approach to distinguishing among types of disorders associated with chronically increased renin secretion from kidneys
| Possible types of increased renin secretion | Renovascular or Goldblatt's hypertension | Diabetic nephropathy | “Psychogenic hypertension” | Comments | |
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| The basic mechanism | Some nephrons are perfused under suboptimal pressure due to stenotic renal arteries | In all nephrons JGAs are activated due to increased sodium absorption in proximal tubules caused by glucose overload | Sympathetic stimulation of β1 receptors activates JGA in many nephrons | Renovascular hypertension is unique in its regional nature, the hypoperfused kidney alters arterial pressure, systemic resistance and kidney performance | |
| Kidney perfusion | normal or modestly decreased | increased | slightly decreased | Diabetic nephropathy forces both kidneys to supranormal perfusion and filtration, diuresis often relieves hypertension. ACE inhibitors or AT1R blockers can normalize filtration, but perfusion usually remains increased | |
| Kidney filtration rate | normal or modestly decreased | increased | normal | ||
| Arterial hypertension | always | in some cases | always | ||
| Systemic vascular resistance | increased | increased | increased | ||
| RAS components | Medication | Effects of medication on plasma levels of RAS components | |||
| high renin | ACE inhibitors | no reduction | no reduction | no reduction | Pressure normalization in all three types due to the reduced exposure of AT1R receptors in arterioles to the circulating Ang II |
| high Ang I | ACE inhibitors | no reduction | no reduction | no reduction | |
| high Ang II | ACE inhibitors | decreased AT II production by ACE | decreased AT II production by ACE | decreased AT II production by ACE | |
| high renin | AT1R blockers | no reduction | no reduction | no reduction |
Pressure normalization in all three types due to the blocked AT1R activation. Increased availability of AT II allows more interactions with AT2R and other receptors |
| high Ang I | AT1R blockers | no reduction | no reduction | no reduction | |
| high Ang II | AT1R blockers | no reduction | no reduction | no reduction | |
| high renin | Nebivolol | no reduction | no reduction | reduced | Pressure normalization by blocking β1 receptors only in the “psychogenic hypertension” |
| high Ang I | Nebivolol | no reduction | no reduction | reduced | |
| high Ang II | Nebivolol | no reduction | no reduction | reduced | |
Renovascular hypertension and Diabetic nephropathy are based on refs 4, 5, 6, 7, the proposed “Psychogenic hypertension” on refs 42, 56 and 57. Changes in plasma levels of renin, Ang I and Ang II, before and after the introduction of nebivolol might help in detection of patients with “Psychogenic hypertension”, due to an increased allostatic load.