Cited by 79Metabolomics and Mass Spectrometry StudiesBlood Pressure and Hypertension StudiesHealth, Environment, Cognitive Aging

The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

Metabolomics in hypertension

Open access

Nikolic, Sonja B., Sharman, James E., Adams, Murray J., Edwards, Lindsay M.·2014·Journal of Hypertension

DOI 10.1097/hjh.0000000000000168

Open this paper in CoChat — free account

Abstract

Hypertension is the most prevalent chronic medical condition and a major risk factor for cardiovascular morbidity and mortality. In the majority of hypertensive cases, the underlying cause of hypertension cannot be easily identified because of the heterogeneous, polygenic and multi-factorial nature of hypertension. Metabolomics is a relatively new field of research that has been used to evaluate metabolic perturbations associated with disease, identify disease biomarkers and to both assess and predict drug safety and efficacy. Metabolomics has been increasingly used to characterize risk factors for cardiovascular disease, including hypertension, and it appears to have significant potential for uncovering mechanisms of this complex disease. This review details the analytical techniques, pre-analytical steps and study designs used in metabolomics studies, as well as the emerging role for metabolomics in gaining mechanistic insights into the development of hypertension. Suggestions as to the future direction for metabolomics research in the field of hypertension are also proposed.

Integrity signals

Registry

Crossref · 10.1097/hjh.0000000000000168

Cites

85 of 85 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies
(2002) · The Lancet · doi:10.1016/s0140-6736(02)11911-8 · Cited by 10,266
Expert consensus document on arterial stiffness: methodological issues and clinical applications
Laurent, S., Cockcroft, J., Van Bortel, L., Boutouyrie, P., Giannattasio, C., Hayoz, D., Pannier, B., Vlachopoulos, C., Wilkinson, I., Struijker-Boudier, H., et al. (2006) · European Heart Journal · doi:10.1093/eurheartj/ehl254 · Cited by 6,077
2007 Guidelines for the Management of Arterial Hypertension
Mancia, G., Backer, G. D., Dominiczak, A. F., Cífková, R., Fagard, R. H., Germanò, G., Grassi, G. M., Heagerty, A. M., Kjeldsen, S. E., Laurent, S., et al. (2007) · Journal of Hypertension · doi:10.1097/hjh.0b013e3281fc975a · Cited by 5,870
Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.
The Human Serum Metabolome (HUSERMET) Consortium, Dunn, W. B., Broadhurst, D., Begley, P., Zelena, E., Francis-McIntyre, S., Anderson, N., Brown, M., Knowles, J. D., Halsall, A., et al. (2011) · Nature Protocols · doi:10.1038/nprot.2011.335 · Cited by 3,294
HMDB: the Human Metabolome Database
Wishart, D. S., Tzur, D., Knox, C., Eisner, R., Guo, A. C., Young, N., Cheng, D., Jewell, K., Arndt, D., Sawhney, S., et al. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkl923 · Cited by 3,219
HMDB 3.0—The Human Metabolome Database in 2013
Wishart, D. S., Jewison, T., Guo, A. C., Wilson, M., Knox, C., Liu, Y., Djoumbou-Feunang, Y., Mandal, R., Aziat, F., Dong, E., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1065 · Cited by 2,845
2003 World Health Organization (WHO)/International Society of Hypertension (ISH) statement on management of hypertension
World Health Organization, I. S. O. H. W. G. (2003) · Journal of Hypertension · doi:10.1097/00004872-200311000-00002 · Cited by 2,667
Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression
Sreekumar, A., Poisson, L., Rajendiran, T. M., Khan, A. P., Cao, Q., Yu, J., Laxman, B., Mehra, R., Lonigro, R. J., Li, Y., et al. (2009) · Nature · doi:10.1038/nature07762 · Cited by 2,269
The Human Serum Metabolome
Psychogios, N., Hau, D., Peng, J., Guo, A. C., Mandal, R., Bouatra, S., Sinelnikov, I. V., Krishnamurthy, R., Eisner, R., Gautam, B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016957 · Cited by 1,779
Essential Hypertension
Carretero, O. A., & Oparil, S. (2000) · Circulation · doi:10.1161/01.cir.101.3.329 · Cited by 1,155
Human metabolic phenotype diversity and its association with diet and blood pressure
Holmes, E., Loo, R. L., Stamler, J., Bictash, M., Yap, I. K. S., Chan, Q., Ebbels, T., De Iorio, M., Brown, I. J., Veselkov, K. A., et al. (2008) · Nature · doi:10.1038/nature06882 · Cited by 1,054
Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics
Brindle, J. T., Antti, H., Holmes, E. C., Tranter, G. E., Nicholson, J. K., Bethell, H., Clarke, S., Schofield, P. M., McKilligin, E., Mosedale, D. E., et al. (2002) · Nature Medicine · doi:10.1038/nm1202-802 · Cited by 1,035
Measuring the metabolome: current analytical technologies
Dunn, W. B., Bailey, N. J. C., & Johnson, H. E. (2005) · The Analyst · doi:10.1039/b418288j · Cited by 945
Citric acid cycle intermediates as ligands for orphan G-protein-coupled receptors
He, W., Miao, F. J.-P., Lin, D. C.-H., Schwandner, R. T., Wang, Z., Gao, J., Chen, J.-L., Tian, H., & Ling, L. (2004) · Nature · doi:10.1038/nature02488 · Cited by 909 · cited 4×
“Furthermore, an oral administration of taurine attenuated BP of patients with hypertension [64], as well as SHRs and SHRSP [65], possibly via actions on the local RAS in the brain [66].”
Influential
Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy
Dunn, W. B., Broadhurst, D., Atherton, H. J., Goodacre, R., & Griffin, J. L. (2010) · Chemical Society Reviews · doi:10.1039/b906712b · Cited by 909
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
Broadhurst, D., & Kell, D. B. (2006) · Metabolomics · doi:10.1007/s11306-006-0037-z · Cited by 857
Cardiovascular Prognosis of "Masked Hypertension" Detected by Blood Pressure Self-measurement in Elderly Treated Hypertensive Patients
Bobrie, G. (2004) · JAMA · doi:10.1001/jama.291.11.1342 · Cited by 842
Pharmaco-metabonomic phenotyping and personalized drug treatment
Andrew Clayton, T., Lindon, J. C., Cloarec, O., Antti, H., Charuel, C., Hanton, G., Provost, J.-P., Le Net, J.-L., Baker, D., Walley, R. J., et al. (2006) · Nature · doi:10.1038/nature04648 · Cited by 824 · cited 1×
“Since pharmacometabolomics offers the possibility to optimize treatment more effectively according to the metabolic profile of each individual and avoid adverse drug effects, this approach has major potential for developing personalized drug treatment [90].”
High-throughput tissue extraction protocol for NMR- and MS-based metabolomics
Wu, H., Southam, A. D., Hines, A., & Viant, M. R. (2007) · Analytical Biochemistry · doi:10.1016/j.ab.2007.10.002 · Cited by 634
Analytical Strategies in Metabonomics
Lenz, E. M., & Wilson, I. D. (2006) · Journal of Proteome Research · doi:10.1021/pr0605217 · Cited by 544
Arterial Stiffness and the Development of Hypertension
Liao, D., Arnett, D. K., Tyroler, H. A., Riley, W. A., Chambless, L. E., Szklo, M., & HEISS, G. M. (1999) · Hypertension · doi:10.1161/01.hyp.34.2.201 · Cited by 544
Here is the evidence, now what is the hypothesis? The complementary roles of inductive and hypothesis‐driven science in the post‐genomic era
Kell, D. B., & Oliver, S. G. (2004) · BioEssays · doi:10.1002/bies.10385 · Cited by 535
Hormone-sensitive Lipase and Monoglyceride Lipase Activities in Adipose Tissue
Vaughan, M. M., Berger, J. E., & Steinberg, D. H. (1964) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)51692-6 · Cited by 521
Metabolic footprinting and systems biology: the medium is the message
Kell, D. B., Brown, M., Davey, H. M., Dunn, W. B., Spasić, ‪., & Oliver, S. G. (2005) · Nature Reviews Microbiology · doi:10.1038/nrmicro1177 · Cited by 435
Association Between Blood Pressure Level and the Risk of Myocardial Infarction, Stroke, and Total Mortality
Psaty, B. M., Furberg, C. D., Kuller, L. H., Cushman, M., Savage, P. J., Levine, D. M., O’Leary, D. H., Bryan, R. N., Anderson, M. L., & Lumley, T. (2001) · Archives of Internal Medicine · doi:10.1001/archinte.161.9.1183 · Cited by 428
Direct regulation of ion channels by fatty acids
Ordway, R. W., Singer, J. J., & Walsh, J. V. (1991) · Trends in Neurosciences · doi:10.1016/0166-2236(91)90069-7 · Cited by 408
The role of metabolites and metabolomics in clinically applicable biomarkers of disease
Mamas, M. A., Dunn, W. B., Neyses, L., & Goodacre, R. (2010) · Archives of Toxicology · doi:10.1007/s00204-010-0609-6 · Cited by 379
Tissue Renin-Angiotensin-Aldosterone Systems: Targets for Pharmacological Therapy
Bäder, M. (2010) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.010909.105610 · Cited by 352
Lessons from rat models of hypertension from Goldblatt to genetic engineering
Pinto, Y. M. (1998) · Cardiovascular Research · doi:10.1016/s0008-6363(98)00077-7 · Cited by 350
NMR-Based Metabolic Profiling and Metabonomic Approaches to Problems in Molecular Toxicology
Coen, M., Holmes, E. C., Lindon, J. C., & Nicholson, J. K. (2008) · Chemical Research in Toxicology · doi:10.1021/tx700335d · Cited by 310
Sex and Age Differences in Lipoprotein Subclasses Measured by Nuclear Magnetic Resonance Spectroscopy: The Framingham Study
Freedman, D. S., Otvos, J. D., Jeyarajah, E. J., SHALAUROVA, I. Y., Cupples, L. A., Parise, H., D’Agostino, R. B., Wilson, P. W. F., & Schaefer, E. J. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.032763 · Cited by 304
Effect of acute dietary standardization on the urinary, plasma, and salivary metabolomic profiles of healthy humans
Walsh, M. C., Brennan, L., Malthouse, J. P. G., Roche, H. M., & Gibney, M. J. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.3.531 · Cited by 297
Advances in metabolite identification
Wishart, D. S. (2011) · Bioanalysis · doi:10.4155/bio.11.155 · Cited by 284
Proton-nuclear-magnetic-resonance studies of serum, plasma and urine from fasting normal and diabetic subjects
Nicholson, J. K., O'Flynn, M., Sadler, P. J., Macleod, A. F., Juul, S. M., & Sönksen, P. H. (1984) · Biochemical Journal · doi:10.1042/bj2170365 · Cited by 282
Getting Closer to the Whole Picture
Sauer, U., Heinemann, M., & Zamboni, N. (2007) · Science · doi:10.1126/science.1142502 · Cited by 268
Robust Early Pregnancy Prediction of Later Preeclampsia Using Metabolomic Biomarkers
Kenny, L. C., Broadhurst, D., Dunn, W. B., Brown, M., North, R. A., McCowan, L. M. E., Roberts, C. T., Cooper, G. J. S., Kell, D. B., & Baker, P. N. (2010) · Hypertension · doi:10.1161/hypertensionaha.110.157297 · Cited by 266
NMR-Based Characterization of Metabolic Alterations in Hypertension Using an Adaptive, Intelligent Binning Algorithm
Meyer, T. D., Sinnaeve, D., Gasse, B. V., Tsiporkova, E., Rietzschel, E. R., Buyzere, M. D., Gillebert, T. C., Bekaert, S., Martins, J. C., & Criekinge, W. V. (2008) · Analytical Chemistry · doi:10.1021/ac7025964 · Cited by 247
Impact of Analytical Bias in Metabonomic Studies of Human Blood Serum and Plasma
Teahan, O., Gamble, S. C., Holmes, E. C., Waxman, J., Nicholson, J. K., Bevan, C. L., & Keun, H. C. (2006) · Analytical Chemistry · doi:10.1021/ac051972y · Cited by 242
Mass spectrometry‐based holistic analytical approaches for metabolite profiling in systems biology studies
Theodoridis, G. A., Gika, H., & Wilson, I. D. (2011) · Mass Spectrometry Reviews · doi:10.1002/mas.20306 · Cited by 218
Multiple Ionization Mass Spectrometry Strategy Used To Reveal the Complexity of Metabolomics
Nordström, A., Want, E. J., Northen, T. R., Lehtiö, J., & Siuzdak, G. E. (2007) · Analytical Chemistry · doi:10.1021/ac701982e · Cited by 211
Application of biofluid 1H nuclear magnetic resonance-based metabonomic techniques for the analysis of the biochemical effects of dietary isoflavones on human plasma profile
Solanky, K. S., Bailey, N. J. C., Beckwith-Hall, B. M., Davis, A. L., Bingham, S. A., Holmes, E. C., Nicholson, J. K., & Cassidy, A. (2003) · Analytical Biochemistry · doi:10.1016/j.ab.2003.08.028 · Cited by 199
Application of chemometrics to 1H NMR spectroscopic data to investigate a relationship between human serum metabolic profiles and hypertension
Brindle, J. T., Nicholson, J. K., Schofield, P. M., Grainger, D. J., & Holmes, E. C. (2002) · The Analyst · doi:10.1039/b209155k · Cited by 190
Proton NMR analysis of plasma is a weak predictor of coronary artery disease
Kirschenlohr, H. L., Griffin, J. L., Clarke, S., Rhydwen, R., Grace, A. A., Schofield, P. M., Brindle, K. M., & Metcalfe, J. C. (2006) · Nature Medicine · doi:10.1038/nm1432 · Cited by 177
Treatment of hypertension with oral taurine: experimental and clinical studies.
Militante, J. D., & Lombardini, J. B. (2002) · Amino Acids · doi:10.1007/s00726-002-0212-0 · Cited by 165
An introduction to biological nuclear magnetic resonance spectroscopy
Bothwell, J. H. F., & Griffin, J. L. (2010) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2010.00157.x · Cited by 156
Activation of the Succinate Receptor GPR91 in Macula Densa Cells Causes Renin Release
Vargas, S. L., Toma, I., Kang, J. J., Meer, E. J., & Peti‐Peterdi, J. (2009) · Journal of the American Society of Nephrology · doi:10.1681/asn.2008070740 · Cited by 153
Effect of dietary taurine on blood pressure in spontaneously hypertensive rats
Yasuo, N., Yukio, Y., & Lovenberg, W. M. (1978) · Biochemical Pharmacology · doi:10.1016/0006-2952(78)90043-6 · Cited by 144
Biochemical classification of kidney carcinoma biopsy samples using magic-angle-spinning 1H nuclear magnetic resonance spectroscopy
Moka, D., VORREUTHER, R., Schicha, H., Spraul, M., Humpfer, E., Lipinski, M., Foxall, P. J. D., Nicholson, J. K., & Lindon, J. C. (1998) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/s0731-7085(97)00176-3 · Cited by 134
Effects of increased adrenomedullary activity and taurine in young patients with borderline hypertension.
Fujita, T., Ando, K., Noda, H., Ito, Y., & Sato, Y. (1987) · Circulation · doi:10.1161/01.cir.75.3.525 · Cited by 134
High free fatty acid concentration: an independent risk factor for hypertension in the Paris Prospective Study
Fagot‐Campagna, A. (1998) · International Journal of Epidemiology · doi:10.1093/ije/27.5.808 · Cited by 134
Ambulatory blood pressure monitoring in Australia
Head, G. A., McGrath, B. P., Mihailidou, A. S., Nelson, M. R., Schlaich, M. P., Stowasser, M., Mangoni, A. A., Cowley, D., Brown, M. A., Ruta, L., et al. (2011) · Journal of Hypertension · doi:10.1097/hjh.0b013e32834de621 · Cited by 131
Metabolomics and first-trimester prediction of early-onset preeclampsia
Bahado-Singh, R. O., Akolekar, R., Mandal, R., Dong, E., Xia, J., Kruger, M. L., Wishart, D. S., & Nicolaides, K. H. (2012) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2012.680254 · Cited by 119
Potential Interferences from Blood Collection Tubes in Mass Spectrometric Analyses of Serum Polypeptides
Drake, S. K., Bowen, R. A. R., Remaley, A. T., & Hortin, G. L. (2004) · Clinical Chemistry · doi:10.1373/clinchem.2004.040303 · Cited by 107
Research issues and strategies for genomic and proteomic biomarker discovery and validation: a statistical perspective
Feng, Z., Prentice, R. L., & Srivastava, S. (2004) · Pharmacogenomics · doi:10.1517/14622416.5.6.709 · Cited by 106
First‐trimester prediction of preeclampsia using metabolomic biomarkers: a discovery phase study
Odibo, A. O., Goetzinger, K. R., Odibo, L., Cahill, A. G., Macones, G. A., Nelson, D. M., & Dietzen, D. J. (2011) · Prenatal Diagnosis · doi:10.1002/pd.2822 · Cited by 97
Cholesterol, Lipids and Arterial Stiffness
Wilkinson, I. B., & Cockcroft, J. R. (2006) · KARGER eBooks · doi:10.1159/000096747 · Cited by 92
Associations Between Metabolomic Compounds and Incident Heart Failure Among African Americans: The ARIC Study
Zheng, Y., Yu, B., Alexander, D. C., Manolio, T. A., Aguilar, D. A., Coresh, J., HEISS, G. M., Boerwinkle, E., & Nettleton, J. A. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kwt004 · Cited by 90
Ventrolateral medulla in spontaneously hypertensive rats: role of angiotensin II
Muratani, H., Ferrario, C. M., & Averill, D. B. (1993) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.1993.264.2.r388 · Cited by 89
First-trimester metabolomic detection of late-onset preeclampsia
Bahado-Singh, R. O., Akolekar, R., Mandal, R., Dong, E., Xia, J., Kruger, M. L., Wishart, D. S., & Nicolaides, K. H. (2012) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2012.11.003 · Cited by 88
The influence of EDTA and citrateanticoagulant addition to human plasma on information recovery from NMR-based metabolic profiling studies
Barton, R. H., Waterman, D., Bonner, F. W., Holmes, E. C., Clarke, R., Nicholson, J. K., & Lindon, J. C. (2009) · Molecular BioSystems · doi:10.1039/b907021d · Cited by 86
Metabolomics of the interaction between PPAR‐α and age in the PPAR‐α‐null mouse
Atherton, H. J., Gulston, M. K., Bailey, N. J. C., Cheng, K., Zhang, W., Clarke, K., & Griffin, J. L. (2009) · Molecular Systems Biology · doi:10.1038/msb.2009.18 · Cited by 80
Pharmaco‐metabolomics: An emerging “omics” tool for the personalization of anticancer treatments and identification of new valuable therapeutic targets
Corona, G., Rizzolio, F., Giordano, A., & Toffoli, G. (2011) · Journal of Cellular Physiology · doi:10.1002/jcp.24003 · Cited by 79
Monitoring metabolites consumption and secretion in cultured cells using ultra-performance liquid chromatography quadrupole–time of flight mass spectrometry (UPLC–Q–ToF-MS)
Paglia, G., Hrafnsdóttir, S., Magnúsdóttir, M., Fleming, R. M. T., Thorlacius, S., Palsson, B. Ø., & Thiele, I. (2011) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-011-5556-4 · Cited by 77
Blood sampling methodology is crucial for precise measurement of plasma catecholamines concentrations in mice
Grouzmann, E., Cavadas, C., Grand, D., Moratel, M., Aubert, J.-F., Brunner, H. R., & Mazzolai, L. (2003) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-003-1140-x · Cited by 75
Long-term stability of biochemical markers in pediatric serum specimens stored at − 80 °C: A CALIPER Substudy
Brinc, D., Chan, M. K., Venner, A. A., Pasic, M. D., Colantonio, D., Kyriakopolou, L., & Adeli, K. (2012) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2012.03.029 · Cited by 72
A Pilot Metabolic Profiling Study in Serum of Patients with Chronic Kidney Disease Based on 1H‐NMR‐Spectroscopy
Qi, S., Ouyang, X., Wang, L., Peng, W., Wen, J., & Dai, Y. (2012) · Clinical and Translational Science · doi:10.1111/j.1752-8062.2012.00437.x · Cited by 72
Lipoprotein abnormalities related to women’s health
Bittner, V. (2002) · The American Journal of Cardiology · doi:10.1016/s0002-9149(02)02637-1 · Cited by 72
Longitudinal pharmacometabonomics for predicting patient responses to therapy: drug metabolism, toxicity and efficacy
Nicholson, J., Everett, J., & Lindon, J. (2012) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1517/17425255.2012.646987 · Cited by 64
A Functional Analysis of Mouse Models of Cardiac Disease through Metabolic Profiling
Jones, G. L. A. H., Sang, E., Goddard, C. A., Mortishire‐Smith, R. J., Sweatman, B. C., Haselden, J. N., Davies, K. E., Grace, A. A., Clarke, K., & Griffin, J. L. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m410200200 · Cited by 63
Optimisation of collection, storage and preparation of rat plasma for 1H NMR spectroscopic analysis in toxicology studies to determine inherent variation in biochemical profiles
Déprez, S., Sweatman, B. C., Connor, S. C., Haselden, J. N., & Waterfield, C. J. (2002) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/s0731-7085(02)00455-7 · Cited by 61
An ultrasonication-assisted extraction and derivatization protocol for GC/TOFMS-based metabolite profiling
Liu, Y., Chen, T., Qiu, Y., Cheng, Y., Cao, Y., Zhao, A., & Jia, W. P. (2011) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-011-4880-z · Cited by 59
White-coat hypertension
Martin, C., & McGrath, B. P. (2013) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/1440-1681.12114 · Cited by 58
1H NMR-based metabonomic analysis of urine from young spontaneously hypertensive rats
Akira, K., Masu, S., Imachi, M., Mitome, H., Hashimoto, M., & Hashimoto, T. (2007) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2007.11.017 · Cited by 55
Gas chromatography/time‐of‐flight mass spectrometry based metabonomic approach to differentiating hypertension‐ and age‐related metabolic variation in spontaneously hypertensive rats
Lu, Y., Aa, J., Wang, G., Hao, H., Huang, Q. B., Yan, B., Zha, W., Gu, S., Ren, H., Zhang, Y., et al. (2008) · Rapid Communications in Mass Spectrometry · doi:10.1002/rcm.3670 · Cited by 51
Evaluation of metabolic variation in normal rat strains from a statistical analysis of 1H NMR spectra of urine
Ebbels, T. M. D., Holmes, E. C., Lindon, J. C., & Nicholson, J. K. (2004) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2004.08.016 · Cited by 37
["White coat" hypertension].
Robles, N. R., & Cancho, B. (2002) · PubMed · Cited by 37
Differential regulations of blood pressure and perturbed metabolism by total ginsenosides and conventional antihypertensive agents in spontaneously hypertensive rats
Aa, J., Wang, G., Hao, H., Huang, Q. B., Lu, Y., Yan, B., Zha, W., Liu, L., & An, K. (2010) · Acta Pharmacologica Sinica · doi:10.1038/aps.2010.86 · Cited by 28
LC-NMR identification of a novel taurine-related metabolite observed in 1H NMR-based metabonomics of genetically hypertensive rats
Akira, K., Mitome, H., Imachi, M., Shida, Y., Miyaoka, H., & Hashimoto, T. (2009) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2009.11.006 · Cited by 28
Abnormalities of lipid metabolism and arterial rigidity in young subjects with borderline hypertension.
Pannier, B., Cambillau, M., Vellaud, V., Atger, V., MOATTI, N., & Safar, M. E. (1994) · PubMed · Cited by 27
Investigations into Biochemical Changes of Genetic Hypertensive Rats Using 1H Nuclear Magnetic Resonance-Based Metabonomics
Akira, K., Imachi, M., & Hashimoto, T. (2005) · Hypertension Research · doi:10.1291/hypres.28.425 · Cited by 23
Pattern Recognition Analysis for Classification of Hypertensive Model Rats and Diurnal Variation Using 1H-NMR Spectroscopy of Urine
Fujiwara, M., Arifuku, K., Ando, I., & Nemoto, T. (2005) · Analytical Sciences · doi:10.2116/analsci.21.1259 · Cited by 21
The metabolomics of alpha-synuclein (SNCA) gene deletion and mutation in mouse brain
Musgrove, R. E., Horne, J., Wilson, R., King, A. E., Edwards, L. M., & Dickson, T. C. (2013) · Metabolomics · doi:10.1007/s11306-013-0561-6 · Cited by 12
Self-citation
NMR-based metabonomics of bovine blood: an investigation into the effects of long term storage on plasma samples
Trabi, M., Keller, M., & Jonsson, N. N. (2013) · Metabolomics · doi:10.1007/s11306-013-0520-2 · Cited by 12
Spironolactone reduces aortic stiffness via blood pressure-dependent effects of canrenoate
Nikolic, S. B., Wilson, R., Hare, J., Adams, M. J., Edwards, L. M., & Sharman, J. E. (2013) · Metabolomics · doi:10.1007/s11306-013-0557-2 · Cited by 7
Self-citation
An Evaluation of Glucose Tolerance in Essential Hypertension
Tuğrul, A., Güldiken, S., Ugur‐Altun, B., & Arıkan, E. (2009) · Yonsei Medical Journal · doi:10.3349/ymj.2009.50.2.195 · Cited by 5

Research works printed but not linked: 4

Griffin, 2006, The Cinderella story of metabolic profiling: does metabolomics get to go to the functional genomics ball Phil Trans R Soc Lond B Biol S, ci, 361, 147
1994, 4444 patients with coronary heart disease: the Scandinavian Simvastatin Survival Study (4S)., Lancet, 344, 1383
Boos, 2006, Is hypertension an inflammatory process Curr Pharm D, es, 12, 1623
2000, Am J Obstet G, ynecol, 183, S1

Sorted by citations

A call to action and a lifecourse strategy to address the global burden of raised blood pressure on current and future generations: the Lancet Commission on hypertension
Olsen, M. H., Angell, S. Y., Asma, S., Boutouyrie, P., Burger, D. E., Chirinos, J. A., Damasceno, A. A. M., Delles, C., Gimenez‐Roqueplo, A., Hering, D., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31134-5 · Cited by 970
Self-citation
The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease
Yang, T., Richards, E. M., Pepine, C. J., & Raizada, M. K. (2018) · Nature Reviews Nephrology · doi:10.1038/s41581-018-0018-2 · Cited by 753
Reconstruction and analysis of correlation networks based on GC–MS metabolomics data for young hypertensive men
Wang, L., Hou, E., Wang, L., Wang, Y., Yang, L., Zheng, X., Xie, G., Sun, Q., Liang, M., & Tian, Z. (2014) · Analytica Chimica Acta · doi:10.1016/j.aca.2014.11.009 · Cited by 95
Metabolomics of mitochondrial disease
Esterhuizen, K., van der Westhuizen, F. H., & Louw, R. (2017) · Mitochondrion · doi:10.1016/j.mito.2017.05.012 · Cited by 94
Metabolomic characterization of hypertension and dyslipidemia
Ke, C., Zhu, X., Zhang, Y., & Shen, Y. (2018) · Metabolomics · doi:10.1007/s11306-018-1408-y · Cited by 97

See all 79

Authors: Nikolic, S. B., Sharman, J. E., Adams, M. J., & Edwards, L. M.
Affiliations: University of Tasmania (AU)
King's College London (GB)
Corresponding author: Edwards, Lindsay M.
ORCID: Sharman, James E.
Adams, Murray J.
Edwards, Lindsay M.
Venue: Journal of Hypertension
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2014-06
Volume: 32
Issue: 6
Pages: 1159-1169
ISSN: 0263-6352 (ISSN-L)
DOI: 10.1097/hjh.0000000000000168
OpenAlex: W2087492315
Cited by: 79
References: 85
Citations by year: 2026: 3 · 2025: 4 · 2024: 3 · 2023: 8 · 2022: 7 · 2021: 12 · 2020: 8 · 2019: 1 · 2018: 12 · 2017: 6 · 2016: 8 · 2015: 3 · 2014: 3
FWCI: 0.63
Type: journal article
Language: en
Open access: green
figshare.com
Licence: cc-by
Locations: Journal of Hypertension (publishedVersion)
PubMed (publishedVersion)
Murdoch University Research Portal (submittedVersion)
eCite Digital Repository (University of Tasmania) (submittedVersion)
Figshare (submittedVersion, cc-by)
Research Portal (King's College London) (submittedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
Keywords: hypertension, metabolomics, cardiovascular risk factors, disease biomarkers, metabolic perturbation, hypertension pathogenesis, analytical methods
MeSH terms: Animals, Cardiovascular Diseases, Clinical Trials as Topic, Humans, Hypertension, Magnetic Resonance Spectroscopy, Risk Factors, Mass Spectrometry, Reproducibility of Results, Biomarkers, Metabolomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Metabolomics in hypertension

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks