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Ueda Y, Mogami H, Chigusa Y, Kawamura Y, Inohaya A, Takakura M, Yasuda E, Matsuzaka Y, Shimada M, Ito S, Morita S, Mandai M, Kondoh E. Hyposecretion of cervical MUC5B is related to preterm birth in pregnant women after cervical excisional surgery. Am J Reprod Immunol 2024; 91:e13832. [PMID: 38462543 DOI: 10.1111/aji.13832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/15/2024] [Accepted: 02/21/2024] [Indexed: 03/12/2024] Open
Abstract
PROBLEM Excisional surgery for cervical intraepithelial neoplasia is a risk factor for preterm birth in subsequent pregnancies. However, the underlying mechanisms of this association remain unclear. We previously showed that cervical MUC5B, a mucin protein, may be a barrier to ascending pathogens during pregnancy. We thus hypothesized that hyposecretion of cervical MUC5B is associated with preterm birth after cervical excisional surgery. METHOD OF STUDY This prospective nested case-control study (Study 1) included pregnant women who had previously undergone cervical excisional surgery across 11 hospitals. We used proteomics to compare cervicovaginal fluid at 18-22 weeks of gestation between the preterm and term birth groups. In another case-control analysis (Study 2), we compared MUC5B expression in nonpregnant uterine tissues between 15 women with a history of cervical excisional surgery and 26 women without a history of cervical surgery. RESULTS The abundance of MUC5B in cervicovaginal fluid was significantly decreased in the preterm birth group (fold change = 0.41, p = .035). Among the 480 quantified proteins, MUC5B had the second highest positive correlation with gestational age at delivery in the combined preterm and term groups. The cervicovaginal microbiome composition was not significantly different between the two groups. Cervical length was not correlated with gestational age at delivery (r = 0.18, p = .079). Histologically, the MUC5B-positive area in the nonpregnant cervix was significantly decreased in women with a history of cervical excisional surgery (0.85-fold, p = .048). The distribution of MUC5B-positive areas in the cervical tissues of 26 women without a history of cervical excisional surgery differed across individuals. CONCLUSIONS This study suggests that the primary mechanism by which cervical excisional surgery causes preterm birth is the hyposecretion of MUC5B due to loss of the cervical glands.
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Affiliation(s)
- Yusuke Ueda
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Haruta Mogami
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yoshitsugu Chigusa
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yosuke Kawamura
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Asako Inohaya
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masahito Takakura
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Eriko Yasuda
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Yu Matsuzaka
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | | | - Shinji Ito
- Medical Research Support Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoshi Morita
- Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Eiji Kondoh
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
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2
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Jenkins DJ, Woolston BM, Hood-Pishchany MI, Pelayo P, Konopaski AN, Quinn Peters M, France MT, Ravel J, Mitchell CM, Rakoff-Nahoum S, Whidbey C, Balskus EP. Bacterial amylases enable glycogen degradation by the vaginal microbiome. Nat Microbiol 2023; 8:1641-1652. [PMID: 37563289 PMCID: PMC10465358 DOI: 10.1038/s41564-023-01447-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 07/11/2023] [Indexed: 08/12/2023]
Abstract
The human vaginal microbiota is frequently dominated by lactobacilli and transition to a more diverse community of anaerobic microbes is associated with health risks. Glycogen released by lysed epithelial cells is believed to be an important nutrient source in the vagina. However, the mechanism by which vaginal bacteria metabolize glycogen is unclear, with evidence implicating both bacterial and human enzymes. Here we biochemically characterize six glycogen-degrading enzymes (GDEs), all of which are pullanases (PulA homologues), from vaginal bacteria that support the growth of amylase-deficient Lactobacillus crispatus on glycogen. We reveal variations in their pH tolerance, substrate preferences, breakdown products and susceptibility to inhibition. Analysis of vaginal microbiome datasets shows that these enzymes are expressed in all community state types. Finally, we confirm the presence and activity of bacterial and human GDEs in cervicovaginal fluid. This work establishes that bacterial GDEs can participate in the breakdown of glycogen, providing insight into metabolism that may shape the vaginal microbiota.
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Affiliation(s)
- Dominick J Jenkins
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Benjamin M Woolston
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Department of Chemical Engineering, Northeastern University, Boston, MA, USA
| | - M Indriati Hood-Pishchany
- Division of Infectious Diseases and Division of Gastroenterology, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA
- Department of Microbiology, Harvard Medical School, Boston, MA, USA
| | - Paula Pelayo
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | | | - M Quinn Peters
- Department of Chemistry, Seattle University, Seattle, WA, USA
| | - Michael T France
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jacques Ravel
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Microbiology and Immunology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Caroline M Mitchell
- Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Seth Rakoff-Nahoum
- Division of Infectious Diseases and Division of Gastroenterology, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
- Department of Microbiology, Harvard Medical School, Boston, MA, USA.
| | | | - Emily P Balskus
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
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3
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Masson L, Wilson J, Amir Hamzah AS, Tachedjian G, Payne M. Advances in mass spectrometry technologies to characterize cervicovaginal microbiome functions that impact spontaneous preterm birth. Am J Reprod Immunol 2023; 90:e13750. [PMID: 37491925 DOI: 10.1111/aji.13750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/12/2023] [Accepted: 07/01/2023] [Indexed: 07/27/2023] Open
Abstract
Preterm birth (PTB) is a leading cause of morbidity and mortality in young children. Infection is a major cause of this adverse outcome, particularly in PTBs characterised by spontaneous rupture of membranes, referred to as spontaneous (s)PTB. However, the aetiology of sPTB is not well defined and specific bacteria associated with sPTB differ between studies and at the individual level. This may be due to many factors including a lack of understanding of strain-level differences in bacteria that influence how they function and interact with each other and the host. Metaproteomics and metabolomics are mass spectrometry-based methods that enable the collection of detailed microbial and host functional information. Technological advances in this field have dramatically increased the resolution of these approaches, enabling the simultaneous detection of thousands of proteins or metabolites. These data can be used for taxonomic analysis of vaginal bacteria and other microbes, to understand microbiome-host interactions, and identify diagnostic biomarkers or therapeutic targets. Although these methods have been used to assess host proteins and metabolites, few have characterized the microbial compartment in the context of pregnancy. The utilisation of metaproteomic and metabolomic-based approaches has the potential to vastly improve our understanding of the mechanisms leading to sPTB.
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Affiliation(s)
- Lindi Masson
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
- Institute of Infectious Disease and Molecular Medicine (IDM), University of Cape Town, Cape Town, South Africa
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
- Central Clinical School, Monash University, Melbourne, Australia
| | - Jenna Wilson
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
| | - Aleya Sarah Amir Hamzah
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
| | - Gilda Tachedjian
- Disease Elimination Program, Life Sciences Discipline, Burnet Institute, Melbourne, Australia
- Department of Microbiology, Monash University, Clayton, Australia
- Department of Microbiology and Immunology, at the Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, Australia
| | - Matthew Payne
- Division of Obstetrics and Gynaecology, School of Medicine, University of Western Australia, Perth, Western Australia, Australia
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4
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Correia GD, Marchesi JR, MacIntyre DA. Moving beyond DNA: towards functional analysis of the vaginal microbiome by non-sequencing-based methods. Curr Opin Microbiol 2023; 73:102292. [PMID: 36931094 DOI: 10.1016/j.mib.2023.102292] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/10/2023] [Accepted: 02/14/2023] [Indexed: 03/17/2023]
Abstract
Over the last two decades, sequencing-based methods have revolutionised our understanding of niche-specific microbial complexity. In the lower female reproductive tract, these approaches have enabled identification of bacterial compositional structures associated with health and disease. Application of metagenomics and metatranscriptomics strategies have provided insight into the putative function of these communities but it is increasingly clear that direct measures of microbial and host cell function are required to understand the contribution of microbe-host interactions to pathophysiology. Here we explore and discuss current methods and approaches, many of which rely upon mass-spectrometry, being used to capture functional insight into the vaginal mucosal interface. In addition to improving mechanistic understanding, these methods offer innovative solutions for the development of diagnostic and therapeutic strategies designed to improve women's health.
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Affiliation(s)
- Gonçalo Ds Correia
- Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK
| | - Julian R Marchesi
- March of Dimes Prematurity Research Centre at Imperial College London, London, UK; Centre for Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Imperial College London, Imperial College London, London W2 1NY, UK
| | - David A MacIntyre
- Institute of Reproductive and Developmental Biology, Department of Metabolism, Digestion and Reproduction, Imperial College London, London W12 0NN, UK; March of Dimes Prematurity Research Centre at Imperial College London, London, UK.
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5
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N-glycosylation of cervicovaginal fluid reflects microbial community, immune activity, and pregnancy status. Sci Rep 2022; 12:16948. [PMID: 36216861 PMCID: PMC9551102 DOI: 10.1038/s41598-022-20608-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 09/15/2022] [Indexed: 12/29/2022] Open
Abstract
Human cervicovaginal fluid (CVF) is a complex, functionally important and glycan rich biological fluid, fundamental in mediating physiological events associated with reproductive health. Using a comprehensive glycomic strategy we reveal an extremely rich and complex N-glycome in CVF of pregnant and non-pregnant women, abundant in paucimannose and high mannose glycans, complex glycans with 2-4 N-Acetyllactosamine (LacNAc) antennae, and Poly-LacNAc glycans decorated with fucosylation and sialylation. N-glycosylation profiles were observed to differ in relation to pregnancy status, microbial composition, immune activation, and pregnancy outcome. Compared to CVF from women experiencing term birth, CVF from women who subsequently experienced preterm birth showed lower sialylation, which correlated to the presence of a diverse microbiome, and higher fucosylation, which correlated positively to pro-inflammatory cytokine concentration. This study is the first step towards better understanding the role of cervicovaginal glycans in reproductive health, their contribution to the mechanism of microbial driven preterm birth, and their potential for preventative therapy.
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Gabriel W, Giurcoiu V, Lautenbacher L, Wilhelm M. Predicting fragment intensities and retention time of iTRAQ- and TMTPro-labeled peptides with Prosit-TMT. Proteomics 2022; 22:e2100257. [PMID: 35578405 DOI: 10.1002/pmic.202100257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 04/22/2022] [Accepted: 05/05/2022] [Indexed: 11/08/2022]
Abstract
Isobaric labeling increases the throughput of proteomics by enabling the parallel identification and quantification of peptides and proteins. Over the past decades, a variety of isobaric tags have been developed allowing the multiplexed analysis of up to 18 samples. However, experiments utilizing such tags often exhibit reduced identification rates and thus show decreased analytical depth. Re-scoring has been shown to rescue otherwise missed identifications but was not yet systematically applied on isobarically labeled data. Because iTRAQ 4/8-plex and the recently released TMTpro 16/18-plex share similar characteristics with TMT 6/10/11-plex, we hypothesized that Prosit-TMT, trained exclusively on 6/10/11-plex labeled peptides, may be applicable to these isobaric labeling strategies as well. To investigate this, we re-analyzed nine publicly available datasets covering iTRAQ and TMTpro labeling for samples with human and mouse origin. We highlight that Prosit-TMT shows remarkably good performance when comparing experimentally acquired and predicted fragmentation spectra (R of 0.84 - 0.9) and retention times (ΔRT95% of 3 - 10% gradient time) of peptides. Furthermore, re-scoring substantially increases the number of confidently identified spectra, peptides, and proteins. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Wassim Gabriel
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Victor Giurcoiu
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Ludwig Lautenbacher
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
| | - Mathias Wilhelm
- Computational Mass Spectrometry, Technical University of Munich, Freising, Germany
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7
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Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research. Molecules 2022; 27:molecules27082411. [PMID: 35458608 PMCID: PMC9031286 DOI: 10.3390/molecules27082411] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 04/05/2022] [Accepted: 04/06/2022] [Indexed: 01/27/2023] Open
Abstract
Mass Spectrometry (MS) allows the analysis of proteins and peptides through a variety of methods, such as Electrospray Ionization-Mass Spectrometry (ESI-MS) or Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry (MALDI-MS). These methods allow identification of the mass of a protein or a peptide as intact molecules or the identification of a protein through peptide-mass fingerprinting generated upon enzymatic digestion. Tandem mass spectrometry (MS/MS) allows the fragmentation of proteins and peptides to determine the amino acid sequence of proteins (top-down and middle-down proteomics) and peptides (bottom-up proteomics). Furthermore, tandem mass spectrometry also allows the identification of post-translational modifications (PTMs) of proteins and peptides. Here, we discuss the application of MS/MS in biomedical research, indicating specific examples for the identification of proteins or peptides and their PTMs as relevant biomarkers for diagnostic and therapy.
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8
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Gupta JK, Alfirevic A. Systematic review of preterm birth multi-omic biomarker studies. Expert Rev Mol Med 2022; 24:1-24. [PMID: 35379367 PMCID: PMC9884789 DOI: 10.1017/erm.2022.13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 02/16/2022] [Accepted: 03/30/2022] [Indexed: 11/07/2022]
Abstract
Preterm birth (PTB) is one of the leading causes of deaths in infants under the age of five. Known risk factors of PTB include genetic factors, lifestyle choices or infection. Identification of omic biomarkers associated with PTB could aid clinical management of women at high risk of early labour and thereby reduce neonatal morbidity. This systematic literature review aimed to identify and summarise maternal omic and multi-omic (genomics, transcriptomics, proteomics and metabolites) biomarker studies of PTB. Original research articles were retrieved from three databases: PubMed, Web of Science and Science Direct, using specified search terms for each omic discipline. PTB studies investigating genomics, transcriptomics, proteomics or metabolomics biomarkers prior to onset of labour were included. Data were collected and reviewed independently. Pathway analyses were completed on the biomarkers from non-targeted omic studies using Reactome pathway analysis tool. A total of 149 omic studies were identified; most of the literature investigated proteomic biomarkers. Pathway analysis identified several cellular processes associated with the omic biomarkers reported in the literature. Study heterogeneity was observed across the research articles, including the use of different gestation cut-offs to define PTB. Infection/inflammatory biomarkers were identified across majority of papers using a range of targeted and non-targeted approaches.
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Affiliation(s)
- Juhi K. Gupta
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women's Hospital, Liverpool L8 7SS, UK
| | - Ana Alfirevic
- Wolfson Centre for Personalised Medicine, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool L69 3GL, UK
- Harris-Wellbeing Research Centre, University Department, Liverpool Women's Hospital, Liverpool L8 7SS, UK
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9
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Shao D, Huang L, Wang Y, Cui X, Li Y, Wang Y, Ma Q, Du W, Cui J. HBFP: a new repository for human body fluid proteome. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION 2021; 2021:6395039. [PMID: 34642750 PMCID: PMC8516408 DOI: 10.1093/database/baab065] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 09/23/2021] [Accepted: 09/28/2021] [Indexed: 12/15/2022]
Abstract
Body fluid proteome has been intensively studied as a primary source for disease
biomarker discovery. Using advanced proteomics technologies, early research
success has resulted in increasingly accumulated proteins detected in different
body fluids, among which many are promising biomarkers. However, despite a
handful of small-scale and specific data resources, current research is clearly
lacking effort compiling published body fluid proteins into a centralized and
sustainable repository that can provide users with systematic analytic tools. In
this study, we developed a new database of human body fluid proteome (HBFP) that
focuses on experimentally validated proteome in 17 types of human body fluids.
The current database archives 11 827 unique proteins reported by 164
scientific publications, with a maximal false discovery rate of 0.01 on both the
peptide and protein levels since 2001, and enables users to query, analyze and
download protein entries with respect to each body fluid. Three unique features
of this new system include the following: (i) the protein annotation page
includes detailed abundance information based on relative qualitative measures
of peptides reported in the original references, (ii) a new score is calculated
on each reported protein to indicate the discovery confidence and (iii) HBFP
catalogs 7354 proteins with at least two non-nested uniquely mapping peptides of
nine amino acids according to the Human Proteome Project Data Interpretation
Guidelines, while the remaining 4473 proteins have more than two unique peptides
without given sequence information. As an important resource for human protein
secretome, we anticipate that this new HBFP database can be a powerful tool that
facilitates research in clinical proteomics and biomarker discovery. Database URL:https://bmbl.bmi.osumc.edu/HBFP/
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Affiliation(s)
- Dan Shao
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA.,Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China.,Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Lan Huang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Yan Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Xueteng Cui
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yufei Li
- Department of Computer Science and Technology, Changchun University, 6543 Weixing Road, Changchun 130022, China
| | - Yao Wang
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, 310G Lincoln tower, 1800 cannon drive, Columbus, OH 43210, USA
| | - Wei Du
- Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, Changchun 130012, China
| | - Juan Cui
- Department of Computer Science and Engineering, University of Nebraska-Lincoln, 122E Avery Hall, 1144 T St., Lincoln, NE 68588, USA
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