Academic Journal of Medicine & Health Sciences, 2024, 5(8); doi: 10.25236/AJMHS.2024.050806.
Fei Lin1, Kewen Li2, Yang Lin3, Li Deng1, Yong Cao3
1Department of Extracorporeal Life Support, The People’s Hospital of Gaozhou Hospital Affiliated to Guangdong Medical University, Gaozhou, China
2The First Clinical Medical College of Guangdong Medical University, Zhanjiang, China
3Department of Cardiovascular Surgery, The People’s Hospital of Gaozhou Hospital Affiliated to Guangdong Medical University, Gaozhou, China
Acute aortic dissection (AAD) is a severe and often fatal cardiovascular emergency with a high mortality rate. Nevertheless, the specific mechanisms underlying AAD occurrence and development remain unclear, resulting in delayed diagnosis and the absence of a definitive biomarker for the disease. In recent years, the rapid advancement of high-throughput omics detection technologies has opened up new avenues for investigating the mechanism behind AAD from various aspects. Metabolomics, which has emerged after genomics, transcriptomics, and proteomics, has been applied to elucidate the pathogenesis and identify biomarkers for AAD. Metabolomics studies have revealed significant associations between AAD occurrence and succinate metabolism, lipid metabolism, and levels of trimethylamine oxidation (TMAO). This article aims to review the diagnostic potential of metabolomics in preventing and managing AAD, highlighting its role in precision diagnosis and treatment.
Acute aortic dissection, Metabolomics, Metabolites, Mechanism, Biomarker
Fei Lin, Kewen Li, Yang Lin, Li Deng, Yong Cao. Diagnostic Role of Metabolomics in Acute Aortic Dissection: Overview. Academic Journal of Medicine & Health Sciences (2024), Vol. 5, Issue 8: 33-39. https://doi.org/10.25236/AJMHS.2024.050806.
[1] Guo-zhi HU, Hong-yan X, Ping L. Clinical characteristics of elderly patients with Stanford type A aortic dissection and analysis of adverse events in hospital. Chinese Journal of Medicine. 2020. 55(01): 43-46.
[2] Erbel R, Aboyans V, Boileau C, et al. Corrigendum to: 2014 ESC Guidelines on the diagnosis and treatment of aortic diseases. Eur Heart J. 2015. 36(41): 2779.
[3] Evangelista A, Isselbacher EM, Bossone E, et al. Insights From the International Registry of Acute Aortic Dissection: A 20-Year Experience of Collaborative Clinical Research. Circulation. 2018. 137(17): 1846-1860.
[4] Nienaber CA, Clough RE, Sakalihasan N, et al. Aortic dissection. Nat Rev Dis Primers. 2016. 2: 16053.
[5] Nazerian P, Mueller C, Soeiro AM, et al. Diagnostic Accuracy of the Aortic Dissection Detection Risk Score Plus D-Dimer for Acute Aortic Syndromes: The ADvISED Prospective Multicenter Study. Circulation. 2018. 137(3): 250-258.
[6] Hidajat N, Mäurer J, Schröder RJ, Wolf M, Vogl T, Felix R. Radiation exposure in spiral computed tomography. Dose distribution and dose reduction. Invest Radiol. 1999. 34(1): 51-7.
[7] Scott CH, Keane MG, Ferrari VA. Echocardiographic evaluation of the thoracic aorta. Semin Roentgenol. 2001. 36(4): 325-33.
[8] Liu X, Su X, Zeng H. Impact of admission serum total cholesterol level on in-hospital mortality in patients with acute aortic dissection. Pak J Med Sci. 2016. 32(4): 939-43.
[9] Wen LI, Tao G, Xiang-ping C, Yang Z, Wen P, Zhen-yu P. Relationship Between Blood Lipid Level and In-hospital Death in Patients With Aortic Dissection. Chinese Circulation Journal. 2018. 33(02): 157-160.
[10] Sbarouni E, Georgiadou P, Analitis A, et al. High homocysteine and low folate concentrations in acute aortic dissection. Int J Cardiol. 2013. 168(1): 463-6.
[11] Segers K, Declerck S, Mangelings D, Heyden YV, Eeckhaut AV. Analytical techniques for metabolomic studies: a review. Bioanalysis. 2019. 11(24): 2297-2318.
[12] Spratlin JL, Serkova NJ, Eckhardt SG. Clinical applications of metabolomics in oncology: a review. Clin Cancer Res. 2009. 15(2): 431-40.
[13] Kan M, Shumyatcher M, Himes BE. Using omics approaches to understand pulmonary diseases. Respir Res. 2017. 18(1): 149.
[14] Ackermann BL, Hale JE, Duffin KL. The role of mass spectrometry in biomarker discovery and measurement. Curr Drug Metab. 2006. 7(5): 525-39.
[15] Ren Y, Tang Q, Liu W, Tang Y, Zhu R, Li B. Serum Biomarker Identification by Mass Spectrometry in Acute Aortic Dissection. Cell Physiol Biochem. 2017. 44(6): 2147-2157.
[16] Zhou X, Wang R, Zhang T, et al. Identification of Lysophosphatidylcholines and Sphingolipids as Potential Biomarkers for Acute Aortic Dissection via Serum Metabolomics. Eur J Vasc Endovasc Surg. 2019. 57(3): 434-441.
[17] Zeng Q, Rong Y, Li D, et al. Identification of Serum Biomarker in Acute Aortic Dissection by Global and Targeted Metabolomics. Ann Vasc Surg. 2020. 68: 497-504.
[18] Cui H, Chen Y, Li K, et al. Untargeted metabolomics identifies succinate as a biomarker and therapeutic target in aortic aneurysm and dissection. Eur Heart J. 2021. 42(42): 4373-4385.
[19] Yang H, Yang F, Luo M, et al. Metabolomic Profile Reveals That Ceramide Metabolic Disturbance Plays an Important Role in Thoracic Aortic Dissection. Front Cardiovasc Med. 2022. 9: 826861.
[20] Hernandes VV, Barbas C, Dudzik D. A review of blood sample handling and pre-processing for metabolomics studies. Electrophoresis. 2017. 38(18): 2232-2241.
[21] Kai C. The researches of aortic dissection with metabolomics and the effects of L-Cysteine in the occurrence of aortic dissection ,2017.
[22] Zhang K, Pan X, Zheng J, Liu Y, Sun L. The metabolic analysis in human aortic tissues of aortic dissection. J Clin Lab Anal. 2022. 36(9): e24623.
[23] Bothwell JH, Griffin JL. An introduction to biological nuclear magnetic resonance spectroscopy. Biol Rev Camb Philos Soc. 2011. 86(2): 493-510.
[24] Kayacelebi AA, Beckmann B, Gutzki FM, Jordan J, Tsikas D. GC-MS and GC-MS/MS measurement of the cardiovascular risk factor homoarginine in biological samples. Amino Acids. 2014. 46(9): 2205-17.
[25] Gao X, Hu XH, Zhang Q, et al. Exploring lipid biomarkers of coronary heart disease for elucidating the biological effects of gelanxinning capsule by lipidomics method based on LC-MS. Biomed Chromatogr. 2021. 35(7): e5091.
[26] Jian L, Ran S, Zhao-guo S, Jian Z. The correlations between acute lung injury of aortic dissection with serum CRP, MCP-1, and MMP-9. Journal of Hebei Medical University. 2020. 41(10): 1126-1129.
[27] Senturk T, Antal A, Gunel T. Potential function of microRNAs in thoracic aortic aneurysm and thoracic aortic dissection pathogenesis. Mol Med Rep. 2019. 20(6): 5353-5362.
[28] Fan F, Zhou Q, Pan J, et al. Preliminary observation of chemokine expression in patients with Stanford type A aortic dissection. Cytokine. 2020. 127: 154920.
[29] Seldin MM, Meng Y, Qi H, et al. Trimethylamine N-Oxide Promotes Vascular Inflammation Through Signaling of Mitogen-Activated Protein Kinase and Nuclear Factor-κB. J Am Heart Assoc. 2016. 5(2).
[30] Zhao G, He F, Wu C, et al. Betaine in Inflammation: Mechanistic Aspects and Applications. Front Immunol. 2018. 9: 1070.
[31] Silva SO, Rodrigues MR, Ximenes VF, Bueno-da-Silva AE, Amarante-Mendes GP, Campa A. Neutrophils as a specific target for melatonin and kynuramines: effects on cytokine release. J Neuroimmunol. 2004. 156(1-2): 146-52.
[32] Hongqiao Z, Yiming LI, Jian Z, Zaiping J. Recent advances in relationship between inflammatory reactions and clinical outcomes of aortic dissection. China Journal of General Surgery. 2020. 29(12): 1509-1514.
[33] Bartenbach L, Karall T, Koch J, et al. Amino Acid and Phospholipid Metabolism as an Indicator of Inflammation and Subtle Cardiomyopathy in Patients with Marfan Syndrome. Metabolites. 2021. 11(12): 805.
[34] Wu Q, Li J, Chen L, et al. Efficacy of interleukin-6 in combination with D-dimer in predicting early poor postoperative prognosis after acute stanford type a aortic dissection. J Cardiothorac Surg. 2020. 15(1): 172.
[35] Xie N, Zhang W, Li H, et al. Admission Values of Plasma Biomarkers Predict the Short-Term Outcomes in Acute Aortic Dissection. Heart Surg Forum. 2021. 24(1): E048-E054.
[36] Halket JM, Waterman D, Przyborowska AM, Patel RK, Fraser PD, Bramley PM. Chemical derivatization and mass spectral libraries in metabolic profiling by GC/MS and LC/MS/MS. J Exp Bot. 2005. 56(410): 219-43.
[37] Vinaixa M, Schymanski EL, Neumann S, Navarro M, Salek RM, Yanes O. Mass spectral databases for LC/MS- and GC/MS-based metabolomics: State of the field and future prospects. TrAC Trends in Analytical Chemistry. 2016. 78: 23-35.
[38] Beale DJ, Pinu FR, Kouremenos KA, et al. Review of recent developments in GC-MS approaches to metabolomics-based research. Metabolomics. 2018. 14(11): 152.
[39] Mazzeo JR, Uwe DN, Kele M, Plumb RS. Advancing LC Performance with Smaller Particles and Higher Pressure. Analytical ChemistryAnalytical ChemistryAnal. Chem.. 2005. 77(23): 460 A-467 A.
[40] Nassar AF, Wu T, Nassar SF, Wisnewski AV. UPLC-MS for metabolomics: a giant step forward in support of pharmaceutical research. Drug Discov Today. 2017. 22(2): 463-470.
[41] Pevsner PH, Melamed J, Remsen T, et al. Mass spectrometry MALDI imaging of colon cancer biomarkers: a new diagnostic paradigm. Biomark Med. 2009. 3(1): 55-69.
[42] Sekuła J, Nizioł J, Rode W, Ruman T. Gold nanoparticle-enhanced target (AuNPET) as universal solution for laser desorption/ionization mass spectrometry analysis and imaging of low molecular weight compounds. Anal Chim Acta. 2015. 875: 61-72.
[43] Fan TW, Lane AN. Applications of NMR spectroscopy to systems biochemistry. Prog Nucl Magn Reson Spectrosc. 2016. 92-93: 18-53.
[44] Markley JL, Brüschweiler R, Edison AS, et al. The future of NMR-based metabolomics. Curr Opin Biotechnol. 2017. 43: 34-40.
[45] Sengupta A, Weljie AM. NMR Spectroscopy-Based Metabolic Profiling of Biospecimens. Curr Protoc Protein Sci. 2019. 98(1): e98.