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The reference range for total protein is typically 60-80g/L. (It is also sometimes reported as "6.0-8.0g/dl"), [2] but this may vary depending on the method of analysis. Concentrations below the reference range usually reflect low albumin concentration, for instance in liver disease or acute infection.
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 ...
Blood plasma protein 3.5-5.0 × 10 −2 [1] Aluminum: 1-40 × 10 −8: 1-88 × 10 −8: Selenium : 60–150 ng/mL Aldosterone: Regulates electrolyte balance supine 3-10 × 10 −11: standing, male 6-22 × 10 −11: standing, female 5-30 × 10 −11: Amino acids: Protein building blocks total 3.8-5.3 × 10 −4: nitrogen 4.6-6.8 × 10 −5: 3.0 ...
The worldwide market for protein is estimated to reach over $47.4 billion by 2032, up from 26 billion in 2021, according to Statista. ... However, that's not 170 grams of protein. For men aged 31 ...
Sauceda shares a contextual example of how much protein is in one serving: “A 3-ounce portion of chicken will have 28 grams of protein, compared to a whole chicken breast, which has almost 60 ...
Researchers have identified protein signatures in blood tests that can be used to detect or predict up to 67 diseases, using UK Biobank data in a cohort of nearly 42,000 participants.
Normal reference ranges are: [citation needed] Serum iron: 60–170 μg/dL (10–30 μmol/L) Total iron-binding capacity: 240–450 μg/dL; Transferrin saturation: average 25%. [6] Reference ranges depend on multiple factors like age, sex, race and test devices. Most laboratories define “normal” as max. 30% for female and max. 45% for male ...
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.