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Rao P, Keyes MJ, Mi MY, Barber JL, Tahir UA, Deng S, Clish CB, Shen D, Farrell LA, Wilson JG, Gao Y, Yimer WK, Ekunwe L, Hall ME, Muntner PM, Guo X, Taylor KD, Tracy RP, Rich SS, Rotter JI, Xanthakis V, Vasan RS, Bouchard C, Sarzynski MA, Gerszten RE, Robbins JM. Plasma Proteomics of Exercise Blood Pressure and Incident Hypertension. JAMA Cardiol 2024; 9:713-722. [PMID: 38865108 PMCID: PMC11170454 DOI: 10.1001/jamacardio.2024.1397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/10/2024] [Indexed: 06/13/2024]
Abstract
Importance Blood pressure response during acute exercise (exercise blood pressure [EBP]) is associated with the future risk of hypertension and cardiovascular disease (CVD). Biochemical characterization of EBP could inform disease biology and identify novel biomarkers of future hypertension. Objective To identify protein markers associated with EBP and test their association with incident hypertension. Design, Setting, and Participants This study assayed 4977 plasma proteins in 681 healthy participants (from 763 assessed) of the Health, Risk Factors, Exercise Training and Genetics (HERITAGE; data collection from January 1993 to December 1997 and plasma proteomics from January 2019 to January 2020) Family Study at rest who underwent 2 cardiopulmonary exercise tests. Individuals were free of CVD at the time of recruitment. Individuals with resting SBP ≥160 mm Hg or DBP ≥100 mm Hg or taking antihypertensive drug therapy were excluded from the study. The association between resting plasma protein levels to both resting BP and EBP was evaluated. Proteins associated with EBP were analyzed for their association with incident hypertension in the Framingham Heart Study (FHS; n = 1177) and validated in the Jackson Heart Study (JHS; n = 772) and Multi-Ethnic Study of Atherosclerosis (MESA; n = 1367). Proteins associated with incident hypertension were tested for putative causal links in approximately 700 000 individuals using cis-protein quantitative loci mendelian randomization (cis-MR). Data were analyzed from January 2023 to January 2024. Exposures Plasma proteins. Main Outcomes and Measures EBP was defined as the BP response during a fixed workload (50 W) on a cycle ergometer. Hypertension was defined as BP ≥140/90 mm Hg or taking antihypertensive medication. Results Among the 681 participants in the HERITAGE Family Study, the mean (SD) age was 34 (13) years; 366 participants (54%) were female; 238 (35%) were self-reported Black and 443 (65%) were self-reported White. Proteomic profiling of EBP revealed 34 proteins that would not have otherwise been identified through profiling of resting BP alone. Transforming growth factor β receptor 3 (TGFBR3) and prostaglandin D2 synthase (PTGDS) had the strongest association with exercise systolic BP (SBP) and diastolic BP (DBP), respectively (TGFBR3: exercise SBP, β estimate, -3.39; 95% CI, -4.79 to -2.00; P = 2.33 × 10-6; PTGDS: exercise DBP β estimate, -2.50; 95% CI, -3.29 to -1.70; P = 1.18 × 10-9). In fully adjusted models, TGFBR3 was inversely associated with incident hypertension in FHS, JHS, and MESA (hazard ratio [HR]: FHS, 0.86; 95% CI, 0.75-0.97; P = .01; JHS, 0.87; 95% CI, 0.77-0.97; P = .02; MESA, 0.84; 95% CI, 0.71-0.98; P = .03; pooled cohort, 0.86; 95% CI, 0.79-0.92; P = 6 × 10-5). Using cis-MR, genetically predicted levels of TGFBR3 were associated with SBP, hypertension, and CVD events (SBP: β, -0.38; 95% CI, -0.64 to -0.11; P = .006; hypertension: odds ratio [OR], 0.99; 95% CI, 0.98-0.99; P < .001; heart failure with hypertension: OR, 0.86; 95% CI, 0.77-0.97; P = .01; CVD: OR, 0.84; 95% CI, 0.77-0.92; P = 8 × 10-5; cerebrovascular events: OR, 0.77; 95% CI, 0.70-0.85; P = 5 × 10-7). Conclusions and Relevance Plasma proteomic profiling of EBP identified a novel protein, TGFBR3, which may protect against elevated BP and long-term CVD outcomes.
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Affiliation(s)
- Prashant Rao
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michelle. J. Keyes
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Michael Y. Mi
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Jacob L. Barber
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia
| | - Usman A. Tahir
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Shuliang Deng
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Clary B. Clish
- Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge
| | - Dongxiao Shen
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Laurie. A. Farrell
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - James G. Wilson
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - Yan Gao
- Department of Data Sciences, University of Mississippi Medical Center, Jackson
| | - Wondwosen K. Yimer
- Department of Data Sciences, University of Mississippi Medical Center, Jackson
| | - Lynette Ekunwe
- Jackson Heart Study Field Center, University of Mississippi Medical Center, Jackson
| | - Michael E. Hall
- Department of Medicine, Division of Cardiology, University of Mississippi Medical Center, Jackson
| | - Paul M. Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Russell P. Tracy
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, the Lundquist Institute for Biomedical Innovation at Harbor–University of California, Los Angeles Medical Center, Torrance
| | - Vanessa Xanthakis
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Ramachandran S. Vasan
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Mark A. Sarzynski
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- Broad Institute of the Massachusetts Institute of Technology and Harvard, Cambridge
| | - Jeremy M. Robbins
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, Massachusetts
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Lin JS, Petrera A, Hauck SM, Müller CL, Peters A, Thorand B. Associations of Proteomics With Hypertension and Systolic Blood Pressure: KORA S4/F4/FF4 and KORA Age1/Age2 Cohort Studies. Hypertension 2024; 81:1156-1166. [PMID: 38445514 PMCID: PMC11025610 DOI: 10.1161/hypertensionaha.123.22614] [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] [Received: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024]
Abstract
BACKGROUND Hypertension, a complex condition, is primarily defined based on blood pressure readings without involving its pathophysiological mechanisms. We aimed to identify biomarkers through a proteomic approach, thereby enhancing the future definition of hypertension with insights into its molecular mechanisms. METHODS The discovery analysis included 1560 participants, aged 55 to 74 years at baseline, from the KORA (Cooperative Health Research in the Region of Augsburg) S4/F4/FF4 cohort study, with 3332 observations over a median of 13.4 years of follow-up. Generalized estimating equations were used to estimate the associations of 233 plasma proteins with hypertension and systolic blood pressure (SBP). For validation, proteins significantly associated with hypertension or SBP in the discovery analysis were validated in the KORA Age1/Age2 cohort study (1024 participants, 1810 observations). A 2-sample Mendelian randomization analysis was conducted to infer causalities of validated proteins with SBP. RESULTS Discovery analysis identified 49 proteins associated with hypertension and 99 associated with SBP. Validation in the KORA Age1/Age2 study replicated 7 proteins associated with hypertension and 23 associated with SBP. Three proteins, NT-proBNP (N-terminal pro-B-type natriuretic peptide), KIM1 (kidney injury molecule 1), and OPG (osteoprotegerin), consistently showed positive associations with both outcomes. Five proteins demonstrated potential causal associations with SBP in Mendelian randomization analysis, including NT-proBNP and OPG. CONCLUSIONS We identified and validated 7 hypertension-associated and 23 SBP-associated proteins across 2 cohort studies. KIM1, NT-proBNP, and OPG demonstrated robust associations, and OPG was identified for the first time as associated with blood pressure. For NT-proBNP (protective) and OPG, causal associations with SBP were suggested.
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Affiliation(s)
- Jie-sheng Lin
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany (J.-s.L., B.T.)
| | - Agnese Petrera
- Metabolomics and Proteomics Core (A. Petrera, S.M.H.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Stefanie M. Hauck
- Metabolomics and Proteomics Core (A. Petrera, S.M.H.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Christian L. Müller
- Institute of Computational Biology (C.L.M.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Department of Statistics (C.L.M.), Ludwig-Maximilians-Universität München, Munich, Germany
- Center for Computational Mathematics, Flatiron Institute, New York, NY (C.L.M.)
| | - Annette Peters
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty (A. Peters), Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research, Partner München-Neuherberg, Germany (A. Peters, B.T.)
| | - Barbara Thorand
- Institute of Epidemiology (J.-s.L., A. Peters, B.T.), Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, LMU Munich, Pettenkofer School of Public Health, Munich, Germany (J.-s.L., B.T.)
- German Center for Diabetes Research, Partner München-Neuherberg, Germany (A. Peters, B.T.)
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Al Ashmar S, Anlar GG, Krzyslak H, Djouhri L, Kamareddine L, Pedersen S, Zeidan A. Proteomic Analysis of Prehypertensive and Hypertensive Patients: Exploring the Role of the Actin Cytoskeleton. Int J Mol Sci 2024; 25:4896. [PMID: 38732116 PMCID: PMC11084483 DOI: 10.3390/ijms25094896] [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: 01/22/2024] [Revised: 02/20/2024] [Accepted: 02/26/2024] [Indexed: 05/13/2024] Open
Abstract
Hypertension is a pervasive and widespread health condition that poses a significant risk factor for cardiovascular disease, which includes conditions such as heart attack, stroke, and heart failure. Despite its widespread occurrence, the exact cause of hypertension remains unknown, and the mechanisms underlying the progression from prehypertension to hypertension require further investigation. Recent proteomic studies have shown promising results in uncovering potential biomarkers related to disease development. In this study, serum proteomic data collected from Qatar Biobank were analyzed to identify altered protein expression between individuals with normal blood pressure, prehypertension, and hypertension and to elucidate the biological pathways contributing to this disease. The results revealed a cluster of proteins, including the SRC family, CAMK2B, CAMK2D, TEC, GSK3, VAV, and RAC, which were markedly upregulated in patients with hypertension compared to those with prehypertension (fold change ≥ 1.6 or ≤-1.6, area under the curve ≥ 0.8, and q-value < 0.05). Pathway analysis showed that the majority of these proteins play a role in actin cytoskeleton remodeling. Actin cytoskeleton reorganization affects various biological processes that contribute to the maintenance of blood pressure, including vascular tone, endothelial function, cellular signaling, inflammation, fibrosis, and mechanosensing. Therefore, the findings of this study suggest a potential novel role of actin cytoskeleton-related proteins in the progression from prehypertension to hypertension. The present study sheds light on the underlying pathological mechanisms involved in hypertension and could pave the way for new diagnostic and therapeutic approaches for the treatment of this disease.
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Affiliation(s)
- Sarah Al Ashmar
- Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar; (S.A.A.); (G.G.A.); (L.D.)
| | - Gulsen Guliz Anlar
- Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar; (S.A.A.); (G.G.A.); (L.D.)
| | - Hubert Krzyslak
- Department of Clinical Biochemistry, Aalborg University Hospital, 9000 Aalborg, Denmark;
| | - Laiche Djouhri
- Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar; (S.A.A.); (G.G.A.); (L.D.)
| | - Layla Kamareddine
- Biomedical Sciences Department, College of Health Sciences, QU Health, Qatar University, Doha 2713, Qatar;
- Biomedical Research Center, Qatar University, Doha 2713, Qatar
| | - Shona Pedersen
- Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar; (S.A.A.); (G.G.A.); (L.D.)
| | - Asad Zeidan
- Department of Basic Sciences, College of Medicine, QU Health, Qatar University, Doha 2713, Qatar; (S.A.A.); (G.G.A.); (L.D.)
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De Beer D, Mels CMC, Schutte AE, Delles C, Mary S, Mullen W, Latosinska A, Mischak H, Kruger R. Identifying a urinary peptidomics profile for hypertension in young adults: The African-PREDICT study: Urinary peptidomics and hypertension: Urinary peptidomics and hypertension. Proteomics 2023; 23:e2200444. [PMID: 36943111 DOI: 10.1002/pmic.202200444] [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: 10/24/2022] [Revised: 01/27/2023] [Accepted: 03/02/2023] [Indexed: 03/23/2023]
Abstract
Hypertension is one of the most important and complex risk factors for cardiovascular diseases (CVDs). By using urinary peptidomics analyses, we aimed to identify peptides associated with hypertension, building a framework for future research towards improved prediction and prevention of premature development of CVD. We included 78 hypertensive and 79 normotensive participants from the African-PREDICT study (aged 20-30 years), matched for sex (51% male) and ethnicity (49% black and 51% white). Urinary peptidomics data were acquired using capillary-electrophoresis-time-of-flight-mass-spectrometry. Hypertension-associated peptides were identified and combined into a support vector machine-based multidimensional classifier. When comparing the peptide data between the normotensive and hypertensive groups, 129 peptides were nominally differentially abundant (Wilcoxon p < 0.05). Nonetheless, only three peptides, all derived from collagen alpha-1(III), remained significantly different after rigorous adjustments for multiple comparisons. The 37 most significant peptides (all p ≤ 0.001) served as basis for the development of a classifier, with 20 peptides being combined into a unifying score, resulting in an AUC of 0.85 in the ROC analysis (p < 0.001), with 83% sensitivity at 80% specificity. Our study suggests potential value of urinary peptides in the classification of hypertension, which could enable earlier diagnosis and better understanding of the pathophysiology of hypertension and premature cardiovascular disease development.
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Affiliation(s)
- Dalene De Beer
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
| | - Catharina M C Mels
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
| | - Aletta E Schutte
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
- School of Population Health, The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sheon Mary
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - William Mullen
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | | | - Ruan Kruger
- Hypertension in Africa Research Team (HART), North-West University (Potchefstroom Campus), Potchefstroom, South Africa
- MRC Research Unit for Hypertension and Cardiovascular Disease, North-West University, Potchefstroom, South Africa
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Wu Z, Lohmöller J, Kuhl C, Wehrle K, Jankowski J. Use of Computation Ecosystems to Analyze the Kidney-Heart Crosstalk. Circ Res 2023; 132:1084-1100. [PMID: 37053282 DOI: 10.1161/circresaha.123.321765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
The identification of mediators for physiologic processes, correlation of molecular processes, or even pathophysiological processes within a single organ such as the kidney or heart has been extensively studied to answer specific research questions using organ-centered approaches in the past 50 years. However, it has become evident that these approaches do not adequately complement each other and display a distorted single-disease progression, lacking holistic multilevel/multidimensional correlations. Holistic approaches have become increasingly significant in understanding and uncovering high dimensional interactions and molecular overlaps between different organ systems in the pathophysiology of multimorbid and systemic diseases like cardiorenal syndrome because of pathological heart-kidney crosstalk. Holistic approaches to unraveling multimorbid diseases are based on the integration, merging, and correlation of extensive, heterogeneous, and multidimensional data from different data sources, both -omics and nonomics databases. These approaches aimed at generating viable and translatable disease models using mathematical, statistical, and computational tools, thereby creating first computational ecosystems. As part of these computational ecosystems, systems medicine solutions focus on the analysis of -omics data in single-organ diseases. However, the data-scientific requirements to address the complexity of multimodality and multimorbidity reach far beyond what is currently available and require multiphased and cross-sectional approaches. These approaches break down complexity into small and comprehensible challenges. Such holistic computational ecosystems encompass data, methods, processes, and interdisciplinary knowledge to manage the complexity of multiorgan crosstalk. Therefore, this review summarizes the current knowledge of kidney-heart crosstalk, along with methods and opportunities that arise from the novel application of computational ecosystems providing a holistic analysis on the example of kidney-heart crosstalk.
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Affiliation(s)
- Zhuojun Wu
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Department of Radiology (C.K.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Johannes Lohmöller
- Medical Faculty, and Department of Computer Science, Communication and Distributed Systems (COMSYS) (J.L., K.W.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Christiane Kuhl
- Department of Radiology (C.K.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Klaus Wehrle
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Medical Faculty, and Department of Computer Science, Communication and Distributed Systems (COMSYS) (J.L., K.W.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
| | - Joachim Jankowski
- Institute of Molecular Cardiovascular Research (Z.W., J.J.), Rheinisch-Westfälische Technische Hochschule Aachen University, Germany
- Department of Pathology, Cardiovascular Research Institute Maastricht (CARIM), University of Maastricht, The Netherlands (J.J.)
- Aachen-Maastricht Institute for Cardiorenal Disease (AMICARE), University Hospital Rheinisch-Westfälische Technische Hochschule Aachen, Germany (J.J.)
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6
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Abolbaghaei A, Turner M, Thibodeau JF, Holterman CE, Kennedy CRJ, Burger D. The Proteome of Circulating Large Extracellular Vesicles in Diabetes and Hypertension. Int J Mol Sci 2023; 24:ijms24054930. [PMID: 36902363 PMCID: PMC10003702 DOI: 10.3390/ijms24054930] [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: 11/23/2022] [Revised: 02/14/2023] [Accepted: 02/23/2023] [Indexed: 03/08/2023] Open
Abstract
Hypertension and diabetes induce vascular injury through processes that are not fully understood. Changes in extracellular vesicle (EV) composition could provide novel insights. Here, we examined the protein composition of circulating EVs from hypertensive, diabetic and healthy mice. EVs were isolated from transgenic mice overexpressing human renin in the liver (TtRhRen, hypertensive), OVE26 type 1 diabetic mice and wild-type (WT) mice. Protein content was analyzed using liquid chromatography-mass spectrometry. We identified 544 independent proteins, of which 408 were found in all groups, 34 were exclusive to WT, 16 were exclusive to OVE26 and 5 were exclusive to TTRhRen mice. Amongst the differentially expressed proteins, haptoglobin (HPT) was upregulated and ankyrin-1 (ANK1) was downregulated in OVE26 and TtRhRen mice compared with WT controls. Conversely, TSP4 and Co3A1 were upregulated and SAA4 was downregulated exclusively in diabetic mice; and PPN was upregulated and SPTB1 and SPTA1 were downregulated in hypertensive mice, compared to WT mice. Ingenuity pathway analysis identified enrichment in proteins associated with SNARE signaling, the complement system and NAD homeostasis in EVs from diabetic mice. Conversely, in EVs from hypertensive mice, there was enrichment in semaphroin and Rho signaling. Further analysis of these changes may improve understanding of vascular injury in hypertension and diabetes.
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Affiliation(s)
- Akram Abolbaghaei
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Maddison Turner
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Jean-François Thibodeau
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Chet E. Holterman
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
| | - Christopher R. J. Kennedy
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
- Departments of Medicine and Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
| | - Dylan Burger
- Chronic Disease Program, Kidney Research Centre, Ottawa Hospital Research Institute, Ottawa, ON K1H 8M5, Canada
- Departments of Medicine and Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON K1H 8M5, Canada
- School of Pharmaceutical Sciences, University of Ottawa, Ottawa, ON K1H 8M5, Canada
- Correspondence: ; Tel.: +1-613-562-5800 (ext. 8241)
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Zhou M, Zhao W, Xue W, Liu J, Yu Z. Potential antihypertensive mechanism of egg white-derived peptide QIGLF revealed by proteomic analysis. Int J Biol Macromol 2022; 218:439-446. [PMID: 35878667 DOI: 10.1016/j.ijbiomac.2022.07.149] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 07/05/2022] [Accepted: 07/19/2022] [Indexed: 02/06/2023]
Abstract
Previous work has shown that egg white-derived peptide QIGLF has significant in vivo antihypertensive activity. This study aimed to clarify the antihypertensive mechanisms of QIGLF on spontaneously hypertensive rats (SHRs) by a serum proteomic approach. Here, the tandem mass tag (TMT) quantitative proteomic was performed to discover serum protein changes in SHRs with QIGLF. As a result, SHRs with 4 weeks of QIGLF treatment have distinct serum protein expression profiles by principal component and Pearson's correlation coefficient analysis. Based on Gene Ontology (GO) annotation, oxygen transport and organelle fusion were found to be a regulated major biological process. Besides, aldosterone regulated sodium reabsorption, mitophagy, gap junction, and tight junction were significantly regulated based on the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. QIGLF might exert antihypertensive effects in the SHRs by inhibiting Na+ reabsorption and oxidative stress, restoring gap junction and tight junction.
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Affiliation(s)
- Mingjie Zhou
- School of Food Science and Engineering, Hainan University, Haikou 570228, PR China; College of Food Science and Engineering, Bohai University, Jinzhou 121013, PR China
| | - Wenzhu Zhao
- School of Food Science and Engineering, Hainan University, Haikou 570228, PR China
| | - Wenjun Xue
- College of Food Science and Engineering, Bohai University, Jinzhou 121013, PR China
| | - Jingbo Liu
- Lab of Nutrition and Functional Food, Jilin University, Changchun 130062, PR China
| | - Zhipeng Yu
- School of Food Science and Engineering, Hainan University, Haikou 570228, PR China.
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Guo J, Guo X, Sun Y, Li Z, Jia P. Application of omics in hypertension and resistant hypertension. Hypertens Res 2022; 45:775-788. [PMID: 35264783 DOI: 10.1038/s41440-022-00885-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/11/2022] [Accepted: 01/29/2022] [Indexed: 12/12/2022]
Abstract
Hypertension is a major modifiable risk factor that affects the global health burden. Despite the availability of multiple antihypertensive drugs, blood pressure is often not optimally controlled. The prevalence of true resistant hypertension in treated hypertensive patients is ~2-20%, and these patients are at higher risk for adverse events and poor clinical outcomes. Therefore, an in-depth dissection of the pathophysiological mechanisms of hypertension and resistant hypertension is needed to identify more effective targets for regulating blood pressure. Omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and microbiomics, can accurately present the characteristics of organisms at varying molecular levels. Integrative omics can further reveal the network of interactions between molecular levels and provide a complete dynamic view of the organism. In this review, we describe the applications, progress, and challenges of omics technologies in hypertension. Specifically, we discuss the application of omics in resistant hypertension. We believe that omics approaches will produce a better understanding of the pathogenesis of hypertension and resistant hypertension and improve diagnostic and therapeutic strategies, thus increasing rates of blood pressure control and reducing the public health burden of hypertension.
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Affiliation(s)
- Jiuqi Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Xiaofan Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Zhao Li
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China.
| | - Pengyu Jia
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China.
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Drouard G, Ollikainen M, Mykkänen J, Raitakari O, Lehtimäki T, Kähönen M, Mishra PP, Wang X, Kaprio J. Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2022; 26:130-141. [PMID: 35259029 PMCID: PMC8978565 DOI: 10.1089/omi.2021.0201] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/21/2023]
Abstract
Abnormal blood pressure is strongly associated with risk of high-prevalence diseases, making the study of blood pressure a major public health challenge. Although biological mechanisms underlying hypertension at the single omic level have been discovered, multi-omics integrative analyses using continuous variations in blood pressure values remain limited. We used a multi-omics regression-based method, called sparse multi-block partial least square, for integrative, explanatory, and predictive interests in study of systolic and diastolic blood pressure values. Various datasets were obtained from the Finnish Twin Cohort for up to 444 twins. Blocks of omics-including transcriptomic, methylation, metabolomic-data as well as polygenic risk scores and clinical data were integrated into the modeling and supported by cross-validation. The predictive contribution of each omics block when predicting blood pressure values was investigated using external participants from the Young Finns Study. In addition to revealing interesting inter-omics associations, we found that each block of omics heterogeneously improved the predictions of blood pressure values once the multi-omics data were integrated. The modeling revealed a plurality of clinical, transcriptomic, and metabolomic factors consistent with the literature and that play a leading role in explaining unit variations in blood pressure. These findings demonstrate (1) the robustness of our integrative method to harness results obtained by single omics discriminant analyses, and (2) the added value of predictive and exploratory gains of a multi-omics approach in studies of complex phenotypes such as blood pressure.
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Affiliation(s)
- Gabin Drouard
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
- Address correspondence to: Gabin Drouard, MSc, Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Tukholmankatu 8, Helsinki 00014, Finland
| | - Miina Ollikainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Juha Mykkänen
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Pashupati P. Mishra
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Xiaoling Wang
- Georgia Prevention Institute (GPI), Medical College of Georgia, Augusta University, Augusta, Georgia, USA
| | - Jaakko Kaprio
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
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Liu X, Sun J, Wen X, Duan J, Xue D, Pan Y, Sun J, Zhang W, Cheng X, Wang C. Proteome profiling of gestational diabetes mellitus at 16-18 weeks revealed by LC-MS/MS. J Clin Lab Anal 2020; 34:e23424. [PMID: 32537767 PMCID: PMC7521232 DOI: 10.1002/jcla.23424] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The practices used to diagnose gestational diabetes mellitus (GDM) could only be carried out around the time of detectable symptoms, and predictive capacity is little. METHODS LC-MS/MS was conducted to explore overview proteomics for GDM complicated pregnant woman at 16-18 gestation weeks, while normal pregnant for control. Enzyme-linked immunosorbent assay was further applied in an independent cohort of 15 GDM cases and 15 controls for verification. RESULTS The results indicated that 24 protein expression levels were significantly changed in GDM group samples, and inflammation, oxidative stress, insulin resistance, blood coagulation, and lipid homeostasis were associated with GDM. The abnormal expression of CRP and IGFBP2 was verified in the first-trimester maternal plasma in women who subsequently developed GDM. CONCLUSIONS This study not only identified 24 potential predictive biomarkers for GDM also provided a global overview of protein rearrangements induced by GDM.
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Affiliation(s)
- Xiaoting Liu
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | | | - Xinyu Wen
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | - Jinyan Duan
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | - Dandan Xue
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | - Yuling Pan
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | - Jinghua Sun
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
| | | | | | - Chengbin Wang
- Medical School of Chinese PLA & Medical Laboratory CenterFirst Medical Center of Chinese PLA General HospitalBeijingChina
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11
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Bruno RM, Mischak H, Persu A. Multi-omics applied to fibromuscular dysplasia: first steps on a new research avenue. Cardiovasc Res 2019; 116:4-5. [DOI: 10.1093/cvr/cvz307] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Rosa Maria Bruno
- INSERM U970 Team 7, Paris Cardiovascular Research Centre—PARCC and University Paris Descartes, Paris, France
| | - Harald Mischak
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Mosaiques Diagnostics GmbH, Hannover, Germany
| | - Alexandre Persu
- Division of Cardiology, Cliniques Universitaires Saint-Luc, Université catholique de Louvain, Brussels, Belgium
- Pole of Cardiovascular Research, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium
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12
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Lin YT, Fall T, Hammar U, Gustafsson S, Ingelsson E, Ärnlöv J, Lind L, Engström G, Sundström J. Proteomic Analysis of Longitudinal Changes in Blood Pressure. J Clin Med 2019; 8:jcm8101585. [PMID: 31581667 PMCID: PMC6832911 DOI: 10.3390/jcm8101585] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/16/2019] [Accepted: 09/30/2019] [Indexed: 01/01/2023] Open
Abstract
Hypertension is the leading risk factor for premature death worldwide. The identification of modifiable causes of hypertension remains an imperative task. We aimed to investigate associations between 79 proteins implicated in cardiovascular disease and longitudinal blood pressure (BP) changes in three Swedish prospective cohorts. In a discovery phase, we investigated associations between baseline circulating protein levels assessed with a proximity extension assay and BP stage progression at follow-up 5 years later among persons without BP-lowering drugs at baseline in two independent community-based cohorts from the Prospective Investigation of the Vasculature in Uppsala Seniors study (PIVUS) and the Uppsala Longitudinal Study of Adult Men (ULSAM). We used an independent cohort, the Malmö Diet and Cancer Study (MDC), for replication. The primary outcome of BP stage progression was defined as per the 2017 AHA/ACC (American Heart Association/ American College of Cardiology) Guideline BP categories. We also investigated associations of protein levels with changes in BP on a continuous scale, and meta-analyzed all three cohorts. Levels of renin were associated with BP stage progression with a 5% false discovery rate (FDR) in the ULSAM (n = 238) and PIVUS (n = 566) cohorts, but we could not replicate this association in the MDC cohort (n = 2659). The association in the discovery cohorts was modest, with an odds ratio for BP stage progression over 5 years of 1.33 (95% confidence interval 1.14 to 1.56) per standard deviation of baseline renin. In conclusion, we could not find any novel robust associations with longitudinal BP increase in a proximity extension assay-based proteomics investigation in three cohorts.
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Affiliation(s)
- Yi-Ting Lin
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, 807 Kaohsiung City, Taiwan.
| | - Tove Fall
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Ulf Hammar
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Stefan Gustafsson
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Erik Ingelsson
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA.
- Stanford Diabetes Research Center, Stanford University, Stanford, CA 94305, USA.
| | - Johan Ärnlöv
- Division of Family Medicine and Primary Care, Department of Neurobiology, Care Science and Society, Karolinska Institutet, 14152 Huddinge, Sweden.
- School of Health and Social Studies, Dalarna University, 79131 Falun, Sweden.
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
| | - Gunnar Engström
- Department of Clinical Sciences, Cardiovascular Epidemiology, Lund University, 21428 Malmö, Sweden.
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
- The George Institute for Global Health, University of New South Wales, Sydney 2042, Australia.
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Gajjala PR, Bruck H, Noels H, Heinze G, Ceccarelli F, Kribben A, Saez-Rodriguez J, Marx N, Zidek W, Jankowski J, Jankowski V. Novel plasma peptide markers involved in the pathology of CKD identified using mass spectrometric approach. J Mol Med (Berl) 2019; 97:1451-1463. [PMID: 31385015 PMCID: PMC6746684 DOI: 10.1007/s00109-019-01823-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 07/12/2019] [Accepted: 07/25/2019] [Indexed: 02/04/2023]
Abstract
Chronic kidney disease (CKD) may progress to end-stage renal disease (ESRD) at different pace. Early markers of disease progression could facilitate and improve patient management. However, conventional blood and urine chemistry have proven unable to predict the progression of disease at early stages. Therefore, we performed untargeted plasma peptidome analysis to select the peptides involved in progression, which are suitable for long prospective studies in future. The study consists of non-CKD (n = 66) and CKD (n = 106) patients with different stages. We performed plasma peptidomics on these subjects using chromatography and mass spectrometric approaches. Initially, we performed LC-ESI-MS and applied least absolute shrinkage and selection operator logistic regressions to select the peptides that are differentially expressed and we generated a peptidomic score for each subject. Later, we identified and sequenced the peptides with MALDI-MS/MS and also performed univariate and multivariate analyses with the clinical variables and peptidomic score to reveal their association with progression of renal disease. A logistic regression model selected 14 substances showing different concentrations according to renal function, of which seven substances were most likely occur in CKD patients. The peptidomic model had a global P value of < 0.01 with R2 of 0.466, and the area under the curve was 0.87 (95% CI, 0.8149-0.9186; P < 0.0001). The predicted score was significantly higher in CKD than in non-CKD patients (2.539 ± 0.2637 vs - 0.9382 ± 0.1691). The model was also able to predict stages of CKD: the Spearman correlation coefficient of the linear predictor with CKD stages was 0.83 with concordance indices of 0.899 (95% CI 0.863-0.927). In univariate analysis, the most consistent association of peptidomic score in CKD patients was with C-reactive protein, sodium level, and uric acid, which are unanticipated substances. Peptidomic analysis enabled to list some unanticipated substances that have not been extensively studied in the context of CKD but were associated with CKD progression, thus revealing interesting candidate markers or mediators of CKD of potential use in CKD progression management. KEY MESSAGES: • Conventional blood and urine chemistry have proven unable to predict the progression of disease at early stages of chronic kidney disease (CKD). • We performed untargeted plasma peptidome analysis to select the peptides involved in progression. • A logistic regression model selected 14 substances showing different concentrations according to renal function. • These peptides are unanticipated substances that have not been extensively studied in the context of CKD but were associated with CKD progression, thus revealing markers or mediators of CKD of potential use in CKD progression management.
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Affiliation(s)
- Prathibha R Gajjala
- Institute of Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
| | - Heike Bruck
- Department of Internal Medicine, Nephrology, Rheumatology, Diabetology and Endocrinology, Helios Hospital Krefeld, Krefeld, Germany
| | - Heidi Noels
- Institute of Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
| | - Georg Heinze
- Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Francesco Ceccarelli
- Joint Research Centre for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
| | - Andreas Kribben
- Department of Nephrology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Julio Saez-Rodriguez
- Joint Research Centre for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
- Institute for Computational Biomedicine, Faculty of Medicine Bioquant, Heidelberg University, Heidelberg, Germany
| | - Nikolaus Marx
- Department of Internal Medicine I, University Hospital Aachen, Aachen, Germany
| | - Walter Zidek
- Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Joachim Jankowski
- Institute of Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
- Experimental Vascular Pathology, Cardiovascular Research Institute Maastricht (CARIM), University of Maastricht, Maastricht, Netherlands
| | - Vera Jankowski
- Institute of Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany.
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Abstract
OBJECTIVES The goal of this study was to investigate genes associated with essential hypertension from a system perspective, making use of bioinformatic tools to gain insights that are not evident when focusing at a detail-based resolution. METHODS Using various databases (pathways, Genome Wide Association Studies, knockouts etc.), we compiled a set of about 200 genes that play a major role in hypertension and identified the interactions between them. This enabled us to create a protein-protein interaction network graph, from which we identified key elements, based on graph centrality analysis. Enriched gene regulatory elements (transcription factors and microRNAs) were extracted by motif finding techniques and knowledge-based tools. RESULTS We found that the network is composed of modules associated with functions such as water retention, endothelial vasoconstriction, sympathetic activity and others. We identified the transcription factor SP1 and the two microRNAs miR27 (a and b) and miR548c-3p that seem to play a major role in regulating the network as they exert their control over several modules and are not restricted to specific functions. We also noticed that genes involved in metabolic diseases (e.g. insulin) are central to the network. CONCLUSION We view the blood-pressure regulation mechanism as a system-of-systems, composed of several contributing subsystems and pathways rather than a single module. The system is regulated by distributed elements. Understanding this mode of action can lead to a more precise treatment and drug target discovery. Our analysis suggests that insulin plays a primary role in hypertension, highlighting the tight link between essential hypertension and diseases associated with the metabolic syndrome.
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Corbacho-Alonso N, Rodríguez-Sánchez E, Martin-Rojas T, Mouriño-Alvarez L, Sastre-Oliva T, Hernandez-Fernandez G, Padial LR, Ruilope LM, Ruiz-Hurtado G, Barderas MG. Proteomic investigations into hypertension: what's new and how might it affect clinical practice? Expert Rev Proteomics 2019; 16:583-591. [PMID: 31195841 DOI: 10.1080/14789450.2019.1632197] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Introduction: Hypertension is a multifactorial disease that has, thus far, proven to be a difficult target for pharmacological intervention. The application of proteomic strategies may help to identify new biomarkers for the early diagnosis and prompt treatment of hypertension, in order to control blood pressure and prevent organ damage. Areas covered: Advances in proteomics have led to the discovery of new biomarkers to help track the pathophysiological processes implicated in hypertension. These findings not only help to better understand the nature of the disease, but will also contribute to the clinical needs for a timely diagnosis and more precise treatment. In this review, we provide an overview of new biomarkers identified in hypertension through the application of proteomic techniques, and we also discuss the difficulties and challenges in identifying biomarkers in this clinical setting. We performed a literature search in PubMed with the key words 'hypertension' and 'proteomics', and focused specifically on the most recent literature on the utility of proteomics in hypertension research. Expert opinion: There have been several promising biomarkers of hypertension identified by proteomics, but too few have been introduced to the clinic. Thus, further investigations in larger cohorts are necessary to test the feasibility of this strategy for patients. Also, this emerging field would profit from more collaboration between clinicians and researchers.
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Affiliation(s)
- N Corbacho-Alonso
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
| | - E Rodríguez-Sánchez
- b Cardiorenal Translational Laboratory , Instituto de Investigación i+12, Hospital Universitario 12 de Octubre , Madrid , Spain
| | - T Martin-Rojas
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
| | - L Mouriño-Alvarez
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
| | - T Sastre-Oliva
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
| | - G Hernandez-Fernandez
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
| | - L R Padial
- c Department of Cardiology , Hospital Virgen de la Salud, SESCAM , Toledo , Spain
| | - L M Ruilope
- b Cardiorenal Translational Laboratory , Instituto de Investigación i+12, Hospital Universitario 12 de Octubre , Madrid , Spain.,d Department of Preventive Medicine and Public Health, School of Medicine , Universidad Autónoma de Madrid/IdiPAZ and CIBER in Epidemiology and Public Health (CIBERESP) , Madrid , Spain.,e School of Doctoral Studies and Research , Universidad Europea de Madrid , Madrid , Spain
| | - G Ruiz-Hurtado
- b Cardiorenal Translational Laboratory , Instituto de Investigación i+12, Hospital Universitario 12 de Octubre , Madrid , Spain
| | - M G Barderas
- a Department of Vascular Physiopathology , Hospital Nacional de Paraplejicos (HNP), SESCAM , Toledo , Spain
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Delles C, Carrick E, Graham D, Nicklin SA. Utilizing proteomics to understand and define hypertension: where are we and where do we go? Expert Rev Proteomics 2018; 15:581-592. [PMID: 29999442 PMCID: PMC6092739 DOI: 10.1080/14789450.2018.1493927] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2018] [Accepted: 06/25/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Hypertension is a complex and multifactorial cardiovascular disorder. With different mechanisms contributing to a different extent to an individual's blood pressure, the discovery of novel pathogenetic principles of hypertension is challenging. However, there is an urgent and unmet clinical need to improve prevention, detection, and therapy of hypertension in order to reduce the global burden associated with hypertension-related cardiovascular diseases. Areas covered: Proteomic techniques have been applied in reductionist experimental models including angiotensin II infusion models in rodents and the spontaneously hypertensive rat in order to unravel mechanisms involved in blood pressure control and end organ damage. In humans proteomic studies mainly focus on prediction and detection of organ damage, particularly of heart failure and renal disease. While there are only few proteomic studies specifically addressing human primary hypertension, there are more data available in hypertensive disorders in pregnancy, such as preeclampsia. We will review these studies and discuss implications of proteomics on precision medicine approaches. Expert commentary: Despite the potential of proteomic studies in hypertension there has been moderate progress in this area of research. Standardized large-scale studies are required in order to make best use of the potential that proteomics offers in hypertension and other cardiovascular diseases.
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Affiliation(s)
- Christian Delles
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Emma Carrick
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Delyth Graham
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Stuart A. Nicklin
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
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Affiliation(s)
- Donna K. Arnett
- From the College of Public Health, University of Kentucky, Lexington
| | - Steven A. Claas
- From the College of Public Health, University of Kentucky, Lexington
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Argilés À, Rodriguez M, Ortiz A. Is Plasma Proteomics Able to Provide Alternative Paths to Better Understand Hypertension? Hypertension 2017; 70:250-252. [PMID: 28652468 DOI: 10.1161/hypertensionaha.117.09049] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Àngel Argilés
- From the Néphrologie Dialyse Saint Guilhem, Sete, France (A.A.); RD - Néphrologie, Montpellier, France (A.A.); Mariano Rodriguez, IMIBIC, Nephrology Service Hospital Universitario Reina Sofia de Cordoba, Spain (M.R.); Red de Investigacion Renal (REDINREN), Madrid, Spain (M.R., A.O.); and IIS-Fundacion Jimenez Diaz UAM and FRIAT, Madrid, Spain (A.O.).
| | - Mariano Rodriguez
- From the Néphrologie Dialyse Saint Guilhem, Sete, France (A.A.); RD - Néphrologie, Montpellier, France (A.A.); Mariano Rodriguez, IMIBIC, Nephrology Service Hospital Universitario Reina Sofia de Cordoba, Spain (M.R.); Red de Investigacion Renal (REDINREN), Madrid, Spain (M.R., A.O.); and IIS-Fundacion Jimenez Diaz UAM and FRIAT, Madrid, Spain (A.O.)
| | - Alberto Ortiz
- From the Néphrologie Dialyse Saint Guilhem, Sete, France (A.A.); RD - Néphrologie, Montpellier, France (A.A.); Mariano Rodriguez, IMIBIC, Nephrology Service Hospital Universitario Reina Sofia de Cordoba, Spain (M.R.); Red de Investigacion Renal (REDINREN), Madrid, Spain (M.R., A.O.); and IIS-Fundacion Jimenez Diaz UAM and FRIAT, Madrid, Spain (A.O.)
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