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Fukui Y, Tadokoro K, Hamada M, Asada K, Lee LJ, Tachiki H, Morihara R, Abe K, Yamashita T. A Novel Peptidome Technology for the Diagnosis of Mild Cognitive Impairment and Alzheimer's Disease by Selected Reaction Monitoring. J Alzheimers Dis 2024; 100:219-228. [PMID: 38848173 DOI: 10.3233/jad-230915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/09/2024]
Abstract
Background With the aging of populations worldwide, Alzheimer's disease (AD) has become a concern due to its high prevalence and the continued lack of established treatments. Early diagnosis is required as a preventive intervention to modify the disease's progression. In our previous study, we performed peptidomic analysis of serum samples obtained from AD patients and age-matched healthy subjects to seek peptide biomarker candidates for AD by using BLOTCHIP-MS analysis, and identified four peptides as AD biomarker candidates. Objective The objective was to validate the serum biomarker peptides to distinguish mild cognitive impairment (MCI) and AD in comparison to cognitively healthy controls using a new peptidome technology, the Dementia Risk Test. Methods We enrolled 195 subjects with normal cognitive function (NC; n = 70), MCI (n = 55), and AD (n = 70), The concentrations of cognitive impairment marker peptides (Fibrinogen α chain (FAC), Fibrinogen β chain (FBC), Plasma protease C1 inhibitor (PPC1I), α2-HS-glycoprotein (AHSG)) were quantified by using a selected reaction monitoring assay based on liquid chromatography-MS/MS. Results The present study confirmed that three peptides, FAC, FBC, and PPC1I, were significantly upregulated during the onset of AD. This three-peptide set was both highly sensitive in determining AD (sensitivity: 85.7%, specificity: 95.7%, AUC: 0.900) and useful in distinguishing MCI (sensitivity: 61.8%, specificity: 98.6%, AUC: 0.824) from NC. Conclusions In this validation study, we confirmed the high diagnostic potential of the three peptides identified in our previous study as candidate serum biomarkers for AD. The Dementia Risk Test may be a powerful tool for detecting AD-related pathological changes.
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Affiliation(s)
- Yusuke Fukui
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Kitaku, Okayama, Japan
| | - Koh Tadokoro
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Kitaku, Okayama, Japan
| | - Minaki Hamada
- Protosera, Inc., KENTO Innovation Park NK, Settsu, Osaka, Japan
| | - Kyoichi Asada
- Protosera, Inc., KENTO Innovation Park NK, Settsu, Osaka, Japan
| | - Lyang-Ja Lee
- Protosera, Inc., KENTO Innovation Park NK, Settsu, Osaka, Japan
| | | | - Ryuta Morihara
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Kitaku, Okayama, Japan
| | - Koji Abe
- Department of Neurology, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Toru Yamashita
- Department of Neurology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Kitaku, Okayama, Japan
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Ye Z, Song G, Liang J, Yi S, Gao Y, Jiang H. Optimized screening of DNA methylation sites combined with gene expression analysis to identify diagnostic markers of colorectal cancer. BMC Cancer 2023; 23:617. [PMID: 37400791 DOI: 10.1186/s12885-023-10922-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 05/05/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND The prognosis of patients with colorectal cancer is related to early detection. However, commonly used screening markers lack sensitivity and specificity. In this study, we identified diagnostic methylation sites for colorectal cancer. METHODS After screening the colorectal cancer methylation dataset, diagnostic sites were identified via survival analysis, difference analysis, and ridge regression dimensionality reduction. The correlation between the selected methylation sites and the estimation of immune cell infiltration was analyzed. The accuracy of the diagnosis was verified using different datasets and the 10-fold crossover method. RESULTS According to Gene Ontology, the main enrichment pathways of genes with hypermethylation sites are axon development, axonogenesis, and pattern specification processes. However, the Kyoto Encyclopedia of Genes and Genomes (KEGG) suggests the following main enrichment pathways: neuroactive ligand-receptor interaction, calcium signaling, and cAMP signaling. In The Cancer Genome Atlas (TCGA) and GSE131013 datasets, the area under the curve of cg07628404 was > 0.95. For the NaiveBayes machine model of cg02604524, cg07628404, and cg27364741, the accuracies of 10-fold cross-validation in the GSE131013 and TCGA datasets were 95% and 99.4%, respectively. The survival prognosis of the hypomethylated group (cg02604524, cg07628404, and cg27364741) was better than that of the hypermethylated group. The mutation risk did not differ between the hypermethylated and hypomethylated groups. The correlation coefficient between the three loci and CD4 central memory T cells, hematological stem cells, and other immune cells was not high (p < 0.05). CONCLUSION In cases of colorectal cancer, the main enrichment pathway of genes with hypermethylated sites was axon and nerve development. In the biopsy tissues, the hypermethylation sites were diagnostic for colorectal cancer, and the NaiveBayes machine model of the three loci showed good diagnostic performance. Site (cg02604524, cg07628404, and cg27364741) hypermethylation predicts poor survival for colorectal cancer. Three methylation sites were weakly correlated with individual immune cell infiltration. Hypermethylation sites may be a useful repository for diagnosing colorectal cancer.
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Affiliation(s)
- Zhen Ye
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Guangle Song
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Jianwei Liang
- Department of General Surgery, Tai'an City Center Hospital, Taian, 271000, Shandong, China
| | - Shuying Yi
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Yuqi Gao
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China.
| | - Hanming Jiang
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China.
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Prospective Proteomic Study Identifies Potential Circulating Protein Biomarkers for Colorectal Cancer Risk. Cancers (Basel) 2022; 14:cancers14133261. [PMID: 35805033 PMCID: PMC9265260 DOI: 10.3390/cancers14133261] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 06/29/2022] [Accepted: 06/30/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Studies on circulating protein for colorectal cancer risk in a prospective study design is lacking. The aim of the present study was to scan and identify the protein markers by using proteomics technologies in a two-stage case-control study nested within the Shanghai Women’s Health Study (SWHS), a population-based prospective cohort study. In the discovery set, we found 27 circulating proteins with a nominally significant association. Six of them, including CD79B, DDR1, EFNA4, FLRT2, LTA4H, and NCR1, were validated in the validation phase of the study. This study is the first to evaluate over 1000 circulating proteins in prediagnostic blood samples for their associations with CRC risk in East Asians. Abstract Background: Proteomics-based technologies are emerging tools used for cancer biomarker discovery. Limited prospective studies have been conducted to evaluate the role of circulating proteins in colorectal cancer (CRC) development. Methods: A two-stage case-control proteomics study nested in the Shanghai Women’s Health Study was conducted. A total of 1104 circulating proteins were measured in the discovery phase, consisting of 100 incident CRC cases and 100 individually matched controls. An additional 60 case-control pairs were selected for validation. Protein profiling at both stages was completed using the Olink platforms. Conditional logistic regression was used to evaluate the associations between circulating proteins and CRC risk. The elastic net method was employed to develop a protein score for CRC risk. Results: In the discovery set, 27 proteins showed a nominally significant association with CRC risk, among which 22 were positively and 5 were inversely associated. Six of the 27 protein markers were significantly associated with CRC risk in the validation set. In the analysis of pooled discovery and validation sets, odds ratios (ORs) per standard deviation (SD) increase in levels of these proteins were 1.54 (95% confidence interval (CI): 1.15–2.06) for CD79B; 1.71 (95% CI: 1.24–2.34) for DDR1; 2.04 (95% CI: 1.39–3.01) for EFNA4; 1.54 (95% CI: 1.16–2.02) for FLRT2; 2.09 (95% CI: 1.47–2.98) for LTA4H and 1.88 (95% CI: 1.35–2.62) for NCR1. Sensitivity analyses showed consistent associations for all proteins with the exclusion of cases diagnosed within the first two years after the cohort enrollment, except for CD79B. Furthermore, a five-protein score was developed based on the six proteins identified and showed significant associations with CRC risk in both discovery and validation sets (Discovery: OR1-SD = 2.46, 95% CI: 1.53–3.95; validation: OR1-SD = 4.16, 95% CI: 1.92–8.99). Conclusions: A panel of five protein markers was identified as potential biomarkers for CRC risk. Our findings provide novel insights into the etiology of CRC and may facilitate the risk assessment of the malignancy.
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Gong YZ, Ma H, Ruan GT, Zhu LC, Liao XW, Wang S, Yan L, Huang W, Huang KT, Xie H, Zhu GZ, Wang XK, Liao C, Gao F. Diagnosis and prognostic value of C-X-C motif chemokine ligand 1 in colon adenocarcinoma based on The Cancer Genome Atlas and Guangxi cohort. J Cancer 2021; 12:5506-5518. [PMID: 34405013 PMCID: PMC8364656 DOI: 10.7150/jca.51524] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 03/06/2021] [Indexed: 12/24/2022] Open
Abstract
Objective: The objective was to identify and validate C-X-C motif chemokine ligand 1(CXCL1) for diagnosis and prognosis in colon adenocarcinoma (COAD). Methods: Our current study had enrolled one The Cancer Genome Atlas (TCGA) cohort and two Guangxi cohorts to identify and verify the diagnostic and prognostic values of CXCL1 in COAD. Functional enrichment was performed by gene set enrichment analysis (GSEA). Results: In TCGA cohort, the expression of CXCL1 was significantly up-regulated in tumor tissues and decreased as the tumor stage developed. The receiver operating characteristic (ROC) curve showed that CXCL1 had a high diagnostic value for COAD. The result of Kaplan-Meier survival analysis showed that CXCL1 gene expression (P=0.045) was significantly correlated with overall survival (OS) of COAD. Results of Guangxi cohort also verified the diagnostic value of CXCL1 in COAD, and sub-group survival analyses also suggested that patients with high CXCL1 expression were related to a favorable OS (Corrected P=0.005). GSEA revealed that CXCL1 high expression phenotype was related to cytokine activity, cell apoptosis, P53 regulation pathway, and regulation of autophagy in COAD. Conclusions: In this study, we found that CXCL1 gene might be a potential diagnostic biomarker for COAD, and might serve as a prognostic biomarker for specific subgroup of COAD.
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Affiliation(s)
- Yi-Zhen Gong
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Hui Ma
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Guo-Tian Ruan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Li-Chen Zhu
- Department of Immunology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Xi-Wen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Shuai Wang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Ling Yan
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Wei Huang
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Ke-Tuan Huang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Hailun Xie
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Guang-Zhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Xiang-Kun Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Cun Liao
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
| | - Feng Gao
- Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, People's Republic of China
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Druce P, Calanzani N, Snudden C, Milley K, Boscott R, Behiyat D, Martinez-Gutierrez J, Saji S, Oberoi J, Funston G, Messenger M, Walter FM, Emery J. Identifying Novel Biomarkers Ready for Evaluation in Low-Prevalence Populations for the Early Detection of Lower Gastrointestinal Cancers: A Systematic Review and Meta-Analysis. Adv Ther 2021; 38:3032-3065. [PMID: 33907946 PMCID: PMC8078393 DOI: 10.1007/s12325-021-01645-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 01/30/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION Lower gastrointestinal (GI) cancers are a major cause of cancer deaths worldwide. Prognosis improves with earlier diagnosis, and non-invasive biomarkers have the potential to aid with early detection. Substantial investment has been made into the development of biomarkers; however, studies are often carried out in specialist settings and few have been evaluated for low-prevalence populations. METHODS We aimed to identify novel biomarkers for the detection of lower GI cancers that have the potential to be evaluated for use in primary care. MEDLINE, Embase, Emcare and Web of Science were systematically searched for studies published in English from January 2000 to October 2019. Reference lists of included studies were also assessed. Studies had to report on measures of diagnostic performance for biomarkers (single or in panels) used to detect colorectal or anal cancers. We included all designs and excluded studies with fewer than 50 cases/controls. Data were extracted from published studies on types of biomarkers, populations and outcomes. Narrative synthesis was used, and measures of specificity and sensitivity were meta-analysed where possible. RESULTS We identified 142 studies reporting on biomarkers for lower GI cancers, for 24,844 cases and 45,374 controls. A total of 378 unique biomarkers were identified. Heterogeneity of study design, population type and sample source precluded meta-analysis for all markers except methylated septin 9 (mSEPT9) and pyruvate kinase type tumour M2 (TuM2-PK). The estimated sensitivity and specificity of mSEPT9 was 80.6% (95% CI 76.6-84.0%) and 88.0% (95% CI 79.1-93.4%) respectively; TuM2-PK had an estimated sensitivity of 81.6% (95% CI 75.2-86.6%) and specificity of 80.1% (95% CI 76.7-83.0%). CONCLUSION Two novel biomarkers (mSEPT9 and TuM2-PK) were identified from the literature with potential for use in lower-prevalence populations. Further research is needed to validate these biomarkers in primary care for screening and assessment of symptomatic patients.
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Affiliation(s)
- Paige Druce
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia.
| | - Natalia Calanzani
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Claudia Snudden
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kristi Milley
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
| | - Rachel Boscott
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Dawnya Behiyat
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Javiera Martinez-Gutierrez
- Department of Family Medicine, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Smiji Saji
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jasmeen Oberoi
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
| | - Garth Funston
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Mike Messenger
- Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Fiona M Walter
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Jon Emery
- Centre for Cancer Research and Department of General Practice, University of Melbourne, Melbourne, VIC, Australia
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Abe K, Shang J, Shi X, Yamashita T, Hishikawa N, Takemoto M, Morihara R, Nakano Y, Ohta Y, Deguchi K, Ikeda M, Ikeda Y, Okamoto K, Shoji M, Takatama M, Kojo M, Kuroda T, Ono K, Kimura N, Matsubara E, Osakada Y, Wakutani Y, Takao Y, Higashi Y, Asada K, Senga T, Lee LJ, Tanaka K. A New Serum Biomarker Set to Detect Mild Cognitive Impairment and Alzheimer's Disease by Peptidome Technology. J Alzheimers Dis 2021; 73:217-227. [PMID: 31771070 PMCID: PMC7029318 DOI: 10.3233/jad-191016] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background: Because dementia is an emerging problem in the world, biochemical markers of cerebrospinal fluid (CSF) and radio-isotopic analyses are helpful for diagnosing Alzheimer’s disease (AD). Although blood sample is more feasible and plausible than CSF or radiological biomarkers for screening potential AD, measurements of serum amyloid- β (Aβ), plasma tau, and serum antibodies for Aβ1 - 42 are not yet well established. Objective: We aimed to identify a new serum biomarker to detect mild cognitive impairment (MCI) and AD in comparison to cognitively healthy control by a new peptidome technology. Methods: With only 1.5μl of serum, we examined a new target plate “BLOTCHIP®” plus a matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MS) to discriminate control (n = 100), MCI (n = 60), and AD (n = 99). In some subjects, cognitive Mini-Mental State Examination (MMSE) were compared to positron emission tomography (PET) with Pittsburgh compound B (PiB) and the serum probability of dementia (SPD). The mother proteins of candidate serum peptides were examined in autopsied AD brains. Results: Apart from Aβ or tau, the present study discovered a new diagnostic 4-peptides-set biomarker for discriminating control, MCI, and AD with 87% of sensitivity and 65% of specificity between control and AD (***p < 0.001). MMSE score was well correlated to brain Aβ deposition and to SPD of AD. The mother proteins of the four peptides were upregulated for coagulation, complement, and plasticity (three proteins), and was downregulated for anti-inflammation (one protein) in AD brains. Conclusion: The present serum biomarker set provides a new, rapid, non-invasive, highly quantitative and low-cost clinical application for dementia screening, and also suggests an alternative pathomechanism of AD for neuroinflammation and neurovascular unit damage.
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Affiliation(s)
- Koji Abe
- Department of Neurology, Okayama University, Okayama, Japan
| | - Jingwei Shang
- Department of Neurology, Okayama University, Okayama, Japan
| | - Xiaowen Shi
- Department of Neurology, Okayama University, Okayama, Japan
| | - Toru Yamashita
- Department of Neurology, Okayama University, Okayama, Japan
| | | | - Mami Takemoto
- Department of Neurology, Okayama University, Okayama, Japan
| | - Ryuta Morihara
- Department of Neurology, Okayama University, Okayama, Japan
| | - Yumiko Nakano
- Department of Neurology, Okayama University, Okayama, Japan
| | - Yasuyuki Ohta
- Department of Neurology, Okayama University, Okayama, Japan
| | - Kentaro Deguchi
- Department of Neurology, Okayama City Hospital, Okayama, Japan
| | - Masaki Ikeda
- Department of Neurology, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Yoshio Ikeda
- Department of Neurology, Gunma University, Graduate School of Medicine, Maebashi, Japan
| | - Koichi Okamoto
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Mikio Shoji
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Masamitsu Takatama
- Department of Neurology, Geriatrics Research Institute and Hospital, Maebashi, Japan
| | - Motohisa Kojo
- Department of Neurology, Ako Chuo Hospital, Ako, Japan
| | - Takeshi Kuroda
- Division of Neurology, Department of Medicine, Showa University, School of Medicine, Tokyo, Japan
| | - Kenjiro Ono
- Division of Neurology, Department of Medicine, Showa University, School of Medicine, Tokyo, Japan
| | - Noriyuki Kimura
- Department of Neurology, Faculty of Medicine, Oita University, Oita, Japan
| | - Etsuro Matsubara
- Department of Neurology, Faculty of Medicine, Oita University, Oita, Japan
| | - Yosuke Osakada
- Department of Neurology, Kurashiki Heisei Hospital, Kurashiki, Japan
| | - Yosuke Wakutani
- Department of Neurology, Kurashiki Heisei Hospital, Kurashiki, Japan
| | - Yoshiki Takao
- Department of Neurology, Kurashiki Heisei Hospital, Kurashiki, Japan
| | - Yasuto Higashi
- Department of Neurology, Himeji Central Hospital, Himeji, Japan
| | - Kyoichi Asada
- Membrane Protein and Ligand Analysis Center, Protosera Inc., Osaka, Japan
| | - Takehito Senga
- Membrane Protein and Ligand Analysis Center, Protosera Inc., Osaka, Japan
| | - Lyang-Ja Lee
- Membrane Protein and Ligand Analysis Center, Protosera Inc., Osaka, Japan
| | - Kenji Tanaka
- Membrane Protein and Ligand Analysis Center, Protosera Inc., Osaka, Japan
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Hypertensive disorders of pregnancy: Strategy to develop clinical peptide biomarkers for more accurate evaluation of the pathophysiological status of this syndrome. Adv Clin Chem 2019; 94:1-30. [PMID: 31952570 DOI: 10.1016/bs.acc.2019.07.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Hypertensive disorders of pregnancy (HDP) is the most common and widely known as serious complication of pregnancy. As this syndrome is a major leading cause of maternal, fetal, and neonatal morbidity/mortality worldwide, many studies have sought to identify candidate molecules as potential disease biomarkers (DBMs) for use in clinical examinations. Accumulating evidence over the past 2 decades that the many proteolytic peptides appear in human humoral fluids, including peripheral blood, in association with an individual's health condition. This review provides the potential utility of peptidomic analysis for monitoring for pathophysiological status in HDP, and presents an overview of current status of peptide quantification technology. Especially, the technical limitations of the methods used for DBM discovery in the blood are discussed.
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