Label-free and de-conjugation-free workflow to simultaneously quantify trace amount of free/conjugated and protein-bound estrogen metabolites in human serum.

Different chemical forms of sex hormones including free/conjugated metabolites as well as their protein/DNA adducts in human serum are a panel of important indicators of health conditions. It is, however, hard to quantify all species simultaneously due to the lack of general extraction, derivatization, and de-conjugation methods. Here we developed a label-free and de-conjugation-free workflow to quantify 11 free/conjugated estrogen metabolites including depurinating DNA and protein adduct forms of 4-hydroxyestradiol (4OHE2) in human serum. Acetonitrile acts as an excellent solvent to purify adducted and non-adducted human serum albumin (HSA) by precipitation as well as to extract free/conjugated metabolites and depurinating DNA adducts from the supernatant by salting-out effect. The adduction level of 4OHE2 on HSA was determined by proteomics; free/conjugated metabolites were quantified by a newly developed microflow liquid chromatography (microflow LC)-nanoelectrospray ionization (nanoESI)-multiple reaction monitoring (MRM) method with high reproducibility (7-22% RSD, n > 3) and sub-picogram levels (0.6-20 pg/mL) of quantification limits (S/N = 8) by using non-pulled capillary as nano-ESI emitter. This workflow was demonstrated to reveal endogenous adduction level of 4OHE2 on HSA as well as circulation levels of free/conjugated metabolites in clinical samples. 4OHE2 in human serum were solely detected as protein-bound form, indicating the merit of such integrated platform covering unstable or active metabolites. Compared to traditional methods using labeling or de-conjugation reaction, this workflow is much simplier, more sensitive, and more specific. Moreover, it can be widely applied in omics to concurrently access various bio-transformed known and un-known markers or drugs.

Quantification of the Endogenous Adduction Level on Hemoglobin and Correlation with Albumin Adduction via Proteomics: Multiple Exposure Markers of Catechol Estrogen.

Catechol estrogens (CEs) are genotoxic metabolites whose detection is challenging due to their low concentrations and high variability in the blood. By intact protein and free CE measurement of the spiked hemolysate, endogenous CEs were revealed to mainly (>99%) exist as hemoglobin (Hb) adducts in red blood cells. In order to detect endogenous CE-Hb adducts, we developed a two-step method that involved protein precipitation and solid phase extraction to purify Hb from red blood cells, and the method was coupled with proteomics using liquid chromatography-tandem mass spectrometry. Using bottom-up proteomics and standard additions, we identified C93 and C112 of Hb-ß as the main adduction sites of Hb, and this accounted for CE-induced oxidization of adducted peptides by sample preparation. The non-adducted, adducted, and oxidized tryptic peptides that covered the same Hb-ß sequences were targeted by parallel reaction monitoring to determine the adduction level in red blood cells. A quantification limit (S/N < 8) below the endogenous CE-Hb adduction level with relative standard errors that ranged from 5 to 22% was achieved and applied to clinical samples. The human serum albumin (HSA) adduction levels from the same patient were also determined using a previously developed method (Anal. Chem.2019,91, 15922-15931). A positive correlation (R2 = 0.673) between the CE-HSA and CE-Hb adduction level was obtained from all clinical samples, and both levels were significantly (p < 0.005) higher for patients with breast cancer compared to healthy controls. However, double indexes derived from the red blood cell and the serum, respectively, provide higher precision and confidence in predicting cancer risk than the single index. This study reported an efficient sample preparation for proteomics-based Hb adducts and revealed the potential of using multiple blood proteins for developing more reliable and specific markers based on protein adductomics.