Differential Diagnosis of Preeclampsia Based on Urine Peptidome Features Revealed by High Resolution Mass Spectrometry
Alexey S. Kononikhin,
Natalia V. Zakharova,
Viktoria A. Sergeeva,
Maria I. Indeykina,
Natalia L. Starodubtseva,
Anna E. Bugrova,
Kamila T. Muminova,
Zulfia S. Khodzhaeva,
Igor A. Popov,
Wenguang Shao,
Patrik Pedrioli,
Roman G. Shmakov,
Vladimir E. Frankevich,
Gennady T. Sukhikh,
Evgeny N. Nikolaev
Affiliations
Alexey S. Kononikhin
Skolkovo Institute of Science and Technology, 143026 Moscow, Russia
Natalia V. Zakharova
Emanuel Institute for Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
Viktoria A. Sergeeva
Emanuel Institute for Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
Maria I. Indeykina
Emanuel Institute for Biochemical Physics, Russian Academy of Sciences, 119334 Moscow, Russia
Natalia L. Starodubtseva
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Anna E. Bugrova
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Kamila T. Muminova
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Zulfia S. Khodzhaeva
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Igor A. Popov
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Wenguang Shao
Institute of Molecular Systems Biology, ETH Zurich, 8092 Zurich, Switzerland
Patrik Pedrioli
Institute of Molecular Systems Biology, ETH Zurich, 8092 Zurich, Switzerland
Roman G. Shmakov
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Vladimir E. Frankevich
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Gennady T. Sukhikh
V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Healthcare of the Russian Federation, 117198 Moscow, Russia
Evgeny N. Nikolaev
Skolkovo Institute of Science and Technology, 143026 Moscow, Russia
Preeclampsia (PE) is a severe pregnancy complication, which may be considered as a systemic response in the second half of pregnancy to physiological failures in the first trimester, and can lead to very serious consequences for the health of the mother and fetus. Since PE is often associated with proteinuria, urine proteomic assays may represent a powerful tool for timely diagnostics and appropriate management. High resolution mass spectrometry was applied for peptidome analysis of 127 urine samples of pregnant women with various hypertensive complications: normotensive controls (n = 17), chronic hypertension (n = 16), gestational hypertension (n = 15), mild PE (n = 25), severe PE (n = 25), and 29 patients with complicated diagnoses. Analysis revealed 3869 peptides, which mostly belong to 116 groups with overlapping sequences. A panel of 22 marker peptide groups reliably differentiating PE was created by multivariate statistics, and included 15 collagen groups (from COL1A1, COL3A1, COL2A1, COL4A4, COL5A1, and COL8A1), and single loci from alpha-1-antitrypsin, fibrinogen, membrane-associated progesterone receptor component 1, insulin, EMI domain-containing protein 1, lysine-specific demethylase 6B, and alpha-2-HS-glycoprotein each. ROC analysis of the created model resulted in 88% sensitivity, 96.8% specificity, and receiver operating characteristic curve (AUC) = 0.947. Obtained results confirm the high diagnostic potential of urinary peptidome profiling for pregnancy hypertensive disorders diagnostics.