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Droll SH, Sheng Hsu YM, Drake SK, Kim A, Wang W, Calvo KR, Cao Z, Hu TY, Zhao Z. Differential processing of high-molecular-weight kininogen during normal pregnancy. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2020; 34 Suppl 1:e8552. [PMID: 31412146 PMCID: PMC7018535 DOI: 10.1002/rcm.8552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 07/18/2019] [Accepted: 08/07/2019] [Indexed: 06/10/2023]
Abstract
RATIONALE Studies identified kininogen as a potential biomarker of preeclampsia, a major cause of adverse maternal outcomes. High-molecular-weight kininogen (HK) and its activated form participate in numerous pathways associated with establishing and maintaining pregnancy. However, dynamic changes in HK and naturally occurring HK-derived peptides during the natural course of pregnancy are largely unknown. METHODS Longitudinal serum samples during the course of normal pregnancy (trimesters T1, T2, T3) from 60 pregnant women were analyzed by western blot with an anti-HK antibody. Circulating peptides in longitudinal serum specimens derived from 50 participants were enriched using nanoporous silica thin films. Peptides were identified by liquid chromatography/tandem mass spectrometry (LC/MS/MS) and database searching. Relative quantification was performed using MaxQuant and in-house scripts. Normality was evaluated by either ANOVA or Friedman tests with p < 0.05 for statistical significance. RESULTS Western blotting revealed that HK significantly decreased during normal pregnancy (T1 vs T2, p < 0.05; T1 vs T3, p < 0.0001). A 100 kDa intermediate increased during pregnancy (T1 vs T2, p < 0.005; T1 vs T3, p < 0.01). Moreover, the heavy chain (T1 vs T2, p < 0.0001; T1 vs T3, p < 0.0001; T2 vs T3, p < 0.01) and light chain (T1 vs T2, p < 0.0001; T1 vs T3, p < 0.0001; T2 vs T3, p < 0.05) significantly increased during pregnancy. LC/MS/MS analysis identified 180 kininogen-1 peptides, of which 167 mapped to domain 5 (D5). Seventy-three peptides with ten or more complete data sets were included for further analysis. Seventy peptides mapped to D5, and 3, 24, and 43 peptides showed significant decrease, no trend, and significant increase, respectively, during pregnancy. CONCLUSIONS This study demonstrates dynamic changes in HK and naturally occurring HK-derived peptides during pregnancy. Our study sheds light on the gestational changes of HK and its peptides for further validation of them as potential biomarkers for pregnancy-related complications.
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Affiliation(s)
- Stephenie H. Droll
- Chemistry Section, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, 20892 MD, USA
- IBiS - Department of Molecular Biosciences, Northwestern University, Evanston, Illinois 60208-3500
| | - Yen-Michael Sheng Hsu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10065
| | - Steven K. Drake
- Critical Care Medicine Department, Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | - Ashley Kim
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853
| | - Weixin Wang
- Hematology Section, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, 20892 MD, USA
| | - Katherine R. Calvo
- Hematology Section, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, 20892 MD, USA
| | - Zheng Cao
- Department of Laboratory Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
| | - Tony Y Hu
- Virginia G. Piper Biodesign Center for Personalized Diagnostics, The Biodesign Institute, Arizona State University; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85281
| | - Zhen Zhao
- Chemistry Section, Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, 20892 MD, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medical College, New York, NY 10065
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5
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Tarca AL, Romero R, Benshalom-Tirosh N, Than NG, Gudicha DW, Done B, Pacora P, Chaiworapongsa T, Panaitescu B, Tirosh D, Gomez-Lopez N, Draghici S, Hassan SS, Erez O. The prediction of early preeclampsia: Results from a longitudinal proteomics study. PLoS One 2019; 14:e0217273. [PMID: 31163045 PMCID: PMC6548389 DOI: 10.1371/journal.pone.0217273] [Citation(s) in RCA: 69] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 05/08/2019] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES To identify maternal plasma protein markers for early preeclampsia (delivery <34 weeks of gestation) and to determine whether the prediction performance is affected by disease severity and presence of placental lesions consistent with maternal vascular malperfusion (MVM) among cases. STUDY DESIGN This longitudinal case-control study included 90 patients with a normal pregnancy and 33 patients with early preeclampsia. Two to six maternal plasma samples were collected throughout gestation from each woman. The abundance of 1,125 proteins was measured using high-affinity aptamer-based proteomic assays, and data were modeled using linear mixed-effects models. After data transformation into multiples of the mean values for gestational age, parsimonious linear discriminant analysis risk models were fit for each gestational-age interval (8-16, 16.1-22, 22.1-28, 28.1-32 weeks). Proteomic profiles of early preeclampsia cases were also compared to those of a combined set of controls and late preeclampsia cases (n = 76) reported previously. Prediction performance was estimated via bootstrap. RESULTS We found that 1) multi-protein models at 16.1-22 weeks of gestation predicted early preeclampsia with a sensitivity of 71% at a false-positive rate (FPR) of 10%. High abundance of matrix metalloproteinase-7 and glycoprotein IIbIIIa complex were the most reliable predictors at this gestational age; 2) at 22.1-28 weeks of gestation, lower abundance of placental growth factor (PlGF) and vascular endothelial growth factor A, isoform 121 (VEGF-121), as well as elevated sialic acid binding immunoglobulin-like lectin 6 (siglec-6) and activin-A, were the best predictors of the subsequent development of early preeclampsia (81% sensitivity, FPR = 10%); 3) at 28.1-32 weeks of gestation, the sensitivity of multi-protein models was 85% (FPR = 10%) with the best predictors being activated leukocyte cell adhesion molecule, siglec-6, and VEGF-121; 4) the increase in siglec-6, activin-A, and VEGF-121 at 22.1-28 weeks of gestation differentiated women who subsequently developed early preeclampsia from those who had a normal pregnancy or developed late preeclampsia (sensitivity 77%, FPR = 10%); 5) the sensitivity of risk models was higher for early preeclampsia with placental MVM lesions than for the entire early preeclampsia group (90% versus 71% at 16.1-22 weeks; 87% versus 81% at 22.1-28 weeks; and 90% versus 85% at 28.1-32 weeks, all FPR = 10%); and 6) the sensitivity of prediction models was higher for severe early preeclampsia than for the entire early preeclampsia group (84% versus 71% at 16.1-22 weeks). CONCLUSION We have presented herein a catalogue of proteome changes in maternal plasma proteome that precede the diagnosis of preeclampsia and can distinguish among early and late phenotypes. The sensitivity of maternal plasma protein models for early preeclampsia is higher in women with underlying vascular placental disease and in those with a severe phenotype.
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Affiliation(s)
- Adi L. Tarca
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Roberto Romero
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, Michigan, United States of America
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, United States of America
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, United States of America
| | - Neta Benshalom-Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Nandor Gabor Than
- Systems Biology of Reproduction Research Group, Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
- First Department of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary
- Maternity Clinic, Kutvolgyi Clinical Block, Semmelweis University, Budapest, Hungary
| | - Dereje W. Gudicha
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Bogdan Done
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
| | - Percy Pacora
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Tinnakorn Chaiworapongsa
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Bogdan Panaitescu
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Dan Tirosh
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Nardhy Gomez-Lopez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- C.S. Mott Center for Human Growth and Development, Wayne State University, Detroit, Michigan, United States of America
- Department of Biochemistry, Microbiology, and Immunology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Sorin Draghici
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Computer Science, Wayne State University College of Engineering, Detroit, Michigan, United States of America
| | - Sonia S. Hassan
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Department of Physiology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
| | - Offer Erez
- Perinatology Research Branch, Division of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services (NICHD/NIH/DHHS), Bethesda, Maryland, and Detroit, Michigan, United States of America
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America
- Maternity Department "D," Division of Obstetrics and Gynecology, Soroka University Medical Center, School of Medicine, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer-Sheva, Israel
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Yanagida M, Hamamura K, Takamori K, Araki Y. The simultaneous quantification of candidate serum biomarker peptides for hypertensive disorders of pregnancy. Ann Clin Biochem 2019; 56:457-465. [DOI: 10.1177/0004563219839084] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background Hypertensive disorders of pregnancy are defined as syndromes characterized by high blood pressure that develop after 20 weeks of pregnancy. The pathogenesis of hypertensive disorders of pregnancy has not been fully elucidated, and the most effective treatment is the termination of pregnancy. Therefore, methods for an early predictive diagnosis should be developed to rescue both the mother and the child. Methods Previously, we explored the serum peptides whose concentration varied specifically between patients with hypertensive disorders of pregnancy and normal pregnant women using peptidomics analysis and identified seven candidate marker peptides. To quantify the marker peptides more reliably, we attempted to quantify these peptides simultaneously by multiple reaction monitoring using liquid chromatography/tandem mass spectrometry (LC-MRM/MS). Non-labelled and stable isotope-labelled forms of the seven peptides were synthesized as standards, and the multiple reaction monitoring transitions for their quantification were determined. Results As the retention of the peptides by the reversed-phase column was dependent on their hydrophobicity, two solvent compositions were required for the retention of all peptides. Under these conditions, we detected the peptides by LC-MRM/MS using a column-switching method. Further, we succeeded in quantifying the peptides in the serum of pregnant women using stable isotope dilution. Conclusion Our new peptidomics method has great value for peptides, particularly those that have no specific antibody as a detection tool. Using this system, the serum peptides in patients with hypertensive disorders of pregnancy can be validated as diagnostic markers of hypertensive disorders of pregnancy. Further, this method can potentially be applied to the general quantification of other serum peptides.
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Affiliation(s)
- Mitsuaki Yanagida
- Institute for Environmental and Gender-specific Medicine, Graduate School of Medicine, Juntendo University, Chiba, Japan
| | - Kensuke Hamamura
- Department of Obstetrics and Gynecology, School of Medicine, Juntendo University, Tokyo, Japan
| | - Kenji Takamori
- Institute for Environmental and Gender-specific Medicine, Graduate School of Medicine, Juntendo University, Chiba, Japan
| | - Yoshihiko Araki
- Institute for Environmental and Gender-specific Medicine, Graduate School of Medicine, Juntendo University, Chiba, Japan
- Department of Obstetrics and Gynecology, School of Medicine, Juntendo University, Tokyo, Japan
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7
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Hamamura K, Yanagida M, Ishikawa H, Banzai M, Yoshitake H, Nonaka D, Tanaka K, Sakuraba M, Miyakuni Y, Takamori K, Nojima M, Yoshida K, Fujiwara H, Takeda S, Araki Y. Quantitative measurement of a candidate serum biomarker peptide derived from α2-HS-glycoprotein, and a preliminary trial of multidimensional peptide analysis in females with pregnancy-induced hypertension. Ann Clin Biochem 2017; 55:287-295. [DOI: 10.1177/0004563217717748] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Purpose We previously attempted to develop quantitative enzyme-linked immunosorbent assay (ELISA) systems for the PDA039/044/071 peptides, potential serum disease biomarkers (DBMs) of pregnancy-induced hypertension (PIH), primarily identified by a peptidomic approach (BLOTCHIP®-mass spectrometry (MS)). However, our methodology did not extend to PDA071 (cysteinyl α2-HS-glycoprotein341–367), due to difficulty to produce a specific antibody against the peptide. The aim of the present study was to establish an alternative PDA071 quantitation system using liquid chromatography-multiple reaction monitoring (LC-MRM)/MS, to explore the potential utility of PDA071 as a DBM for PIH. Methods We tested heat/acid denaturation methods in efforts to purify serum PDA071 and developed an LC-MRM/MS method allowing for specific quantitation thereof. We measured serum PDA071 concentrations, and these results were validated including by three-dimensional (3D) plotting against PDA039 (kininogen-1439–456)/044 (kininogen-1438–456) concentrations, followed by discriminant analysis. Results PDA071 was successfully extracted from serum using a heat denaturation method. Optimum conditions for quantitation via LC-MRM/MS were developed; the assayed serum PDA071 correlated well with the BLOTCHIP® assay values. Although the PDA071 alone did not significantly differ between patients and controls, 3D plotting of PDA039/044/071 peptide concentrations and construction of a Jackknife classification matrix were satisfactory in terms of PIH diagnostic precision. Conclusions Combination analysis using both PDA071 and PDA039/044 concentrations allowed PIH diagnostic accuracy to be attained, and our method will be valuable in future pathophysiological studies of hypertensive disorders of pregnancy.
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Affiliation(s)
- Kensuke Hamamura
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Mitsuaki Yanagida
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
| | | | - Michio Banzai
- Department of Obstetrics and Gynecology,
Yamagata Saisei Hospital, Yamagata, Japan
| | - Hiroshi Yoshitake
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
| | - Daisuke Nonaka
- Membrane Protein and Ligand Analysis Center,
Protosera Inc., Hyogo, Japan
| | - Kenji Tanaka
- Membrane Protein and Ligand Analysis Center,
Protosera Inc., Hyogo, Japan
| | - Mayumi Sakuraba
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
| | - Yasuka Miyakuni
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Obstetrics and Gynecology,
Juntendo University Urayasu Hospital, Chiba, Japan
| | - Kenji Takamori
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
| | - Michio Nojima
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Obstetrics and Gynecology,
Juntendo University Urayasu Hospital, Chiba, Japan
| | - Koyo Yoshida
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
- Department of Obstetrics and Gynecology,
Juntendo University Urayasu Hospital, Chiba, Japan
| | - Hiroshi Fujiwara
- Department of Obstetrics and Gynecology,
Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
| | - Satoru Takeda
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yoshihiko Araki
- Institute for Environmental and
Gender-Specific Medicine, Juntendo University Graduate School of Medicine, Chiba,
Japan
- Department of Obstetrics and Gynecology,
Juntendo University Graduate School of Medicine, Tokyo, Japan
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