2006
DOI: 10.1373/clinchem.2005.065854
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Specificity and Clinical Utility of Methods for the Detection of Macroprolactin

Abstract: Background: Increased serum concentrations of macroprolactin are a relatively common cause of misdiagnosis and mismanagement of hyperprolactinemic patients. Methods: We studied sera from a cohort of 42 patients whose biochemical hyperprolactinemia was explained entirely by macroprolactin. Using 5 pretreatments, polyethylene glycol (PEG), protein A (PA), protein G (PG), anti-human IgG (anti-hIgG), and ultrafiltration (UF), to deplete macroprolactin from sera before immunoassay, we compared residual prolactin co… Show more

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Cited by 91 publications
(79 citation statements)
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“…Although this method exhibits acceptable precision and the recovery of standard preparation is satisfactory, pretreatment of sera with PA and PG may lead to a significant overestimation of monomeric PRL concentrations [24].…”
Section: Diagnosismentioning
confidence: 99%
See 3 more Smart Citations
“…Although this method exhibits acceptable precision and the recovery of standard preparation is satisfactory, pretreatment of sera with PA and PG may lead to a significant overestimation of monomeric PRL concentrations [24].…”
Section: Diagnosismentioning
confidence: 99%
“…Although ultrafiltration represents a practical and precise alternative to GFC for estimating the macroprolactin in serum, the PRL concentrations recorded after ultrafiltration, compared with those after GFC, may vary considerably from sample to sample [24,25].…”
Section: Diagnosismentioning
confidence: 99%
See 2 more Smart Citations
“…In order to limit the number of GFC required, alternative separation methods have been developed. Amongst them, polyethylene glycol (PEG) precipitation of bbPRL is the most commonly employed (19,20,21,22). Analysis of the discrepancies between results obtained from two PRL assays, with different crossreactivities, has been suggested as a viable MPRL analysis technique (23,24).…”
Section: Introductionmentioning
confidence: 99%