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Hypoaldosteronism is an endocrinological disorder characterized by decreased levels of the hormone aldosterone. Similarly, isolated hypoaldosteronism is the condition of having lowered aldosterone without corresponding changes in cortisol. [1] (The two hormones are both produced by the adrenals.)
Pseudohypoaldosteronism (PHA) is a condition that mimics hypoaldosteronism (presenting hyperkalemia). [1] Two major types of primary pseudohypoaldosteronism are recognized and these have major differences in etiology and presentation. [2]
The genes encoding aldosterone synthase and 11β-hydroxylase are 95% identical and are close together on chromosome 8.In individuals with GRA, there is unequal crossing over so that the 5' regulatory region of the 11-hydroxylase gene is fused to the coding region of the aldosterone synthase.
Specific treatment of pseudohyperaldosteronism depends on the inciting cause. General management focuses on countering the effects of excess mineralocorticoid activity to achieve adequate blood pressure control and avoid end-organ damage and cardiovascular mortality. [1] In some cases, specific antihypertensive medications may be recommended.
Hyperaldosteronism is abnormally increased levels of aldosterone, while hypoaldosteronism is abnormally decreased levels of aldosterone. A measurement of aldosterone in blood may be termed a plasma aldosterone concentration (PAC), which may be compared to plasma renin activity (PRA) as an aldosterone-to-renin ratio.
20,22-Desmolase (P450scc) deficiency: blocks production of all steroid hormones from cholesterol [citation needed]; 3β-Hydroxysteroid dehydrogenase 2 deficiency: impairs progestogen and androgen metabolism; prevents the synthesis of estrogens, glucocorticoids, and mineralocorticoids; causes androgen deficiency in males and androgen excess in females [citation needed]
Pseudo-spectral methods, [1] also known as discrete variable representation (DVR) methods, are a class of numerical methods used in applied mathematics and scientific computing for the solution of partial differential equations.
The same is true for intervening variables (a variable in between the supposed cause (X) and the effect (Y)), and anteceding variables (a variable prior to the supposed cause (X) that is the true cause). When a third variable is involved and has not been controlled for, the relation is said to be a zero order relationship. In most practical ...