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ALT is commonly measured clinically as part of liver function tests and is a component of the AST/ALT ratio. [6] When used in diagnostics, it is almost always measured in international units/liter (IU/L) [7] or μkat. While sources vary on specific reference range values for patients, 0-40 IU/L is the standard reference range for experimental ...
The proportion of AST to ALT in hepatocytes is about 2.5:1, but because AST is removed from serum by the liver sinusoidal cells twice as quickly (serum half-life t 1/2 = 18 hr) compared to ALT (t 1/2 = 36 hr), so the resulting serum levels of AST and ALT are about equal in healthy individuals, resulting in a normal AST/ALT ratio around 1.
Normal ranges for both ALT and AST vary by gender, age, and geography and are roughly 8-40 U/L (0.14-0.67 μkal/L). [4] Mild transaminesemia refers to levels up to 250 U/L. [1] Drug-induced increases such as that found with the use of anti-tuberculosis agents such as isoniazid are limited
The ALT levels in hepatitis C rises more than in hepatitis A and B. Persistent ALT elevation more than 6 months is known as chronic hepatitis. Alcoholic liver disease, non-alcoholic fatty liver disease (NAFLD), fat accumulation in liver during childhood obesity, steatohepatitis (inflammation of fatty liver disease) are associated with a rise in ...
Reference ranges (reference intervals) for blood tests are sets of values used by a health professional to interpret a set of medical test results from blood samples. Reference ranges for blood tests are studied within the field of clinical chemistry (also known as "clinical biochemistry", "chemical pathology" or "pure blood chemistry"), the ...
Aspartate transaminase (AST) or aspartate aminotransferase, also known as AspAT/ASAT/AAT or (serum) glutamic oxaloacetic transaminase (GOT, SGOT), is a pyridoxal phosphate (PLP)-dependent transaminase enzyme (EC 2.6.1.1) that was first described by Arthur Karmen and colleagues in 1954.
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The standard definition of a reference range for a particular measurement is defined as the interval between which 95% of values of a reference population fall into, in such a way that 2.5% of the time a value will be less than the lower limit of this interval, and 2.5% of the time it will be larger than the upper limit of this interval, whatever the distribution of these values.
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