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Macroprolactinemia: Predictability on clinical basis and detection by PEG precipitation with two different immunometric methods

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Abstract

Prolactin (PRL) in human serum is present in three species: monomeric PRL (23 kDA), big PRL (50–60 kDa) and big, big PRL (bb-PRL or macroprolactinemia) of 150–170 kDa. Macro-prolactin seems to be mainly composed of a molecule of monomeric PRL and an immunoglobulin G anti PRL. Its biological activity is considered low or absent, but it is measured, at various degrees, by the immunoassay method, thus causing diagnostic problems. Polyethylene Glycol (PEG) has been employed to precipitate macroprolactin, allowing its detection. This method is not applicable to all immunoassays for technical reasons. Our aim was to evaluate: 1) the predictability of macroprolactin on a clinical basis; 2) the possibility of applying PEG precipitation to Abbott AxSYM® analyzer beside Roche Elecsys® (already approved). We classified 34 hyperprolactinemic women, on a clinical and imaging basis, in four groups: A: functional hyperprolactinemia; B: pituitary lesions hyperprolactinemia; C: probably macroprolactinemia; D: unclassifiable hyperprolactinemia and a “control” group E of 19 healthy women. PRL was assayed, both with Elecsys® and AxSYM®, before and after PEG serum treatment. Eleven out of twelve group C, and 5/7 group D patients showed macroprolactinemia, against 1/7 in A and 1/8 in B. PEG was suitable for AxSYM® only after the same treatment of the calibration standards, thus performing outcomes overlapping Elecsys®. For clinical purposes, in the presence of macroprolactinemia, besides the recovery ratio, molar or ponderal monomeric PRL assay should be calculated.

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Authors and Affiliations

  1. Outpatient Endocrinology Service - A.P.S.S., S.Camillo Hospital, Piazza Venezia 41, 38100, Trento, Italy

    Pierluigi Amadori

  2. Laboratory of Clinical Analysis, S.Camillo Hospital, Cles, Italy

    C. Dilberis & M. Pinamonti

  3. Clinical Chemistry Unit, A.P.S.S. Hospital, Cles, Italy

    A. Marcolla & P. Menapace

  4. Laboratory Department, A.P.S.S. Pergine, Trento, Italy

    F. Dal Bosco

Authors
  1. Pierluigi Amadori
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  2. C. Dilberis
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  3. A. Marcolla
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  4. M. Pinamonti
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  5. P. Menapace
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  6. F. Dal Bosco
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Correspondence to Pierluigi Amadori.

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Amadori, P., Dilberis, C., Marcolla, A. et al. Macroprolactinemia: Predictability on clinical basis and detection by PEG precipitation with two different immunometric methods. J Endocrinol Invest 26, 148–156 (2003). https://doi.org/10.1007/BF03345144

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