Distinct microbial and metabolic shifts characterize acute coronary syndrome and recovery

Jing Xu , Die Dai , Yanan Yang , Shanshan Gao , Jingang Yang , Chaoran Dong , Weixian Yang , Jiansong Yuan , Tianjie Wang , Tao Tian , Yanmin Yang , Fang Luo , Ping Jiang , Chao Wu , Xiaolu Sun , Yonggang Sui , Guofeng Gao , Wentao Ma , Yuan Wu , Jun Zhang , Jia Li , Chao Guo , Cheng Cui , Tingting Guo , Xueyan Zhao , Jinqing Yuan , Shubin Qiao , Fenghuan Hu , Xiaojin Gao , Xiaoliang Luo , Haoran Peng , Daoming Wang , Jiqiu Wu , Chongming Wu , Jiuming He , Wei-Hua Chen , Yuejin Yang , Jingyuan Fu

iMeta ›› 2025, Vol. 4 ›› Issue (5) : e70079

PDF
iMeta ›› 2025, Vol. 4 ›› Issue (5) :e70079 DOI: 10.1002/imt2.70079
RESEARCH ARTICLE
Distinct microbial and metabolic shifts characterize acute coronary syndrome and recovery
Author information +
History +
PDF

Abstract

Early identification of patients at risk of acute coronary syndrome (ACS) remains a major unmet need, particularly among those with stable coronary artery disease (sCAD), where timely intervention could markedly improve outcomes. The gut microbiota has been implicated in coronary artery disease (CAD), but its ability to distinguish ACS from sCAD is not well defined. Here, we performed cross-sectional multi-omics profiling of fecal microbiota and plasma metabolites in 548 individuals, including participants with normal coronary arteries (N = 175), primary sCAD (N = 161), and ACS (N = 212). To assess whether disease-associated changes resolve with treatment, we further analyzed an independent cohort of ACS patients (N = 52) who transitioned to sCAD following standard therapy. We identified profound ACS-associated alterations in gut microbial composition and systemic metabolism, marked by enrichment of pro-inflammatory taxa such as Streptococcus spp. and elevated circulating levels of 3-hydroxybutyrate (3-HB). Strikingly, many of these ACS-specific microbial and metabolic signatures, including 3-HB and related microbial functional pathways, were restored toward sCAD-like levels after clinical recovery. Integrative models combining microbial taxa, metabolites, and clinical biomarkers robustly discriminated ACS from healthy controls (AUC = 0.91) and from sCAD (AUC = 0.83), significantly outperforming clinical markers alone (AUC = 0.69 for NCA vs. ACS; 0.59 for sCAD vs. ACS). These findings establish the gut microbiome and its metabolic outputs as key discriminators of ACS, reveal their dynamic resolution during disease recovery, and highlight their potential as biomarkers and therapeutic targets for cardiovascular risk stratification and management.

Keywords

acute coronary syndrome / biomarkers / coronary artery disease / gut microbiome / metabolomics

Cite this article

Download citation ▾
Jing Xu, Die Dai, Yanan Yang, Shanshan Gao, Jingang Yang, Chaoran Dong, Weixian Yang, Jiansong Yuan, Tianjie Wang, Tao Tian, Yanmin Yang, Fang Luo, Ping Jiang, Chao Wu, Xiaolu Sun, Yonggang Sui, Guofeng Gao, Wentao Ma, Yuan Wu, Jun Zhang, Jia Li, Chao Guo, Cheng Cui, Tingting Guo, Xueyan Zhao, Jinqing Yuan, Shubin Qiao, Fenghuan Hu, Xiaojin Gao, Xiaoliang Luo, Haoran Peng, Daoming Wang, Jiqiu Wu, Chongming Wu, Jiuming He, Wei-Hua Chen, Yuejin Yang, Jingyuan Fu. Distinct microbial and metabolic shifts characterize acute coronary syndrome and recovery. iMeta, 2025, 4(5): e70079 DOI:10.1002/imt2.70079

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Mensah, George A., Valentin Fuster, and Gregory A. Roth. 2023. “A Heart-Healthy and Stroke-Free World.” Journal of the American College of Cardiology 82: 2343-2349. https://doi.org/10.1016/j.jacc.2023.11.003

[2]

Piepoli, Massimo F., Arno W. Hoes, Stefan Agewall, Christian Albus, Carlos Brotons, Alberico L. Catapano, Marie-Therese Cooney, et al. 2016. “2016 European Guidelines on Cardiovascular Disease Prevention in Clinical Practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (Constituted by Representatives of 10 Societies and by Invited Experts) Developed With the Special Contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR).” European Heart Journal 37: 2315-2381. https://doi.org/10.1093/eurheartj/ehw106

[3]

Libby, Peter, Gerard Pasterkamp, Filippo Crea, and Ik-Kyung Jang. 2019. “Reassessing the Mechanisms of Acute Coronary Syndromes.” Circulation Research 124: 150-160. https://doi.org/10.1161/CIRCRESAHA.118.311098

[4]

Hansson, Göran K., and Andreas Hermansson. 2011. “The Immune System in Atherosclerosis.” Nature Immunology 12: 204-212. https://doi.org/10.1038/ni.2001

[5]

Bentzon, Jacob Fog, Fumiyuki Otsuka, Renu Virmani, and Erling Falk. 2014. “Mechanisms of Plaque Formation and Rupture.” Circulation Research 114: 1852-1866. https://doi.org/10.1161/CIRCRESAHA.114.302721

[6]

Arnett, Donna K., Roger S. Blumenthal, Michelle A. Albert, Andrew B. Buroker, Zachary D. Goldberger, Ellen J. Hahn, Cheryl Dennison Himmelfarb, et al. 2019. “2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.” Circulation 140: e596-e646. https://doi.org/10.1161/cir.0000000000000678

[7]

Joyce, Susan A., John MacSharry, Patrick G. Casey, Michael Kinsella, Eileen F. Murphy, Fergus Shanahan, Colin Hill, and Cormac G. M. Gahan. 2014. “Regulation of Host Weight Gain and Lipid Metabolism by Bacterial Bile Acid Modification in the Gut.” Proceedings of the National Academy of Sciences 111: 7421-7426. https://doi.org/10.1073/pnas.1323599111

[8]

Rooks, Michelle G., and Wendy S. Garrett. 2016. “Gut Microbiota, Metabolites and Host Immunity.” Nature Reviews Immunology 16: 341-352. https://doi.org/10.1038/nri.2016.42

[9]

Spor, Aymé, Omry Koren, and Ruth Ley. 2011. “Unravelling the Effects of the Environment and Host Genotype on the Gut Microbiome.” Nature Reviews Microbiology 9: 279-290. https://doi.org/10.1038/nrmicro2540

[10]

Xu, Jing, and Yuejin Yang. 2021. “Gut Microbiome and Its Meta-Omics Perspectives: Profound Implications for Cardiovascular Diseases.” Gut Microbes 13: 1936379. https://doi.org/10.1080/19490976.2021.1936379

[11]

Wang, Zeneng, Elizabeth Klipfell, Brian J. Bennett, Robert Koeth, Bruce S. Levison, Brandon Dugar, Ariel E. Feldstein, et al. 2011. “Gut Flora Metabolism of Phosphatidylcholine Promotes Cardiovascular Disease.” Nature 472: 57-63. https://doi.org/10.1038/nature09922

[12]

Jie, Zhuye, Huihua Xia, Shi-Long Zhong, Qiang Feng, Shenghui Li, Suisha Liang, Huanzi Zhong, et al. 2017. “The Gut Microbiome in Atherosclerotic Cardiovascular Disease.” Nature Communications 8: 845. https://doi.org/10.1038/s41467-017-00900-1

[13]

Liu, Honghong, Xi Chen, Xiaomin Hu, Haitao Niu, Ran Tian, Hui Wang, Haiyu Pang, et al. 2019. “Alterations in the Gut Microbiome and Metabolism With Coronary Artery Disease Severity.” Microbiome 7: 68. https://doi.org/10.1186/s40168-019-0683-9

[14]

Fromentin, Sebastien, Sofia K. Forslund, Kanta Chechi, Judith Aron-Wisnewsky, Rima Chakaroun, Trine Nielsen, Valentina Tremaroli, et al. 2022. “Microbiome and Metabolome Features of the Cardiometabolic Disease Spectrum.” Nature Medicine 28: 303-314. https://doi.org/10.1038/s41591-022-01688-4

[15]

Choroszy, Marcin, Kamil Litwinowicz, Robert Bednarz, Tomasz Roleder, Amir Lerman, Takumi Toya, Karol Kamiński, et al. 2022. “Human Gut Microbiota in Coronary Artery Disease: A Systematic Review and Meta-Analysis.” Metabolites 12: 1165. https://doi.org/10.3390/metabo12121165

[16]

Escapa, Isabel F., Tsute Chen, Yanmei Huang, Prasad Gajare, Floyd E. Dewhirst, and Katherine P. Lemon. 2018. “New Insights into Human Nostril Microbiome from the Expanded Human Oral Microbiome Database (eHOMD): A Resource for the Microbiome of the Human Aerodigestive Tract.” mSystems 3: e00187-00118. https://doi.org/10.1128/mSystems.00187-18

[17]

Glover, Janiece S., Taylor D. Ticer, and Melinda A. Engevik. 2022. “Characterizing the Mucin-Degrading Capacity of the Human Gut Microbiota.” Scientific Reports 12: 8456. https://doi.org/10.1038/s41598-022-11819-z

[18]

Gao, Lu, Tiansong Xu, Gang Huang, Song Jiang, Yan Gu, and Feng Chen. 2018. “Oral Microbiomes: More and More Importance in Oral Cavity and Whole Body.” Protein & Cell 9: 488-500. https://doi.org/10.1007/s13238-018-0548-1

[19]

Li, Xiaoqin, Shan Hu, Jiawei Yin, Xiaobo Peng, Lei King, Linyan Li, Zihui Xu, et al. 2023. “Effect of Synbiotic Supplementation on Immune Parameters and Gut Microbiota in Healthy Adults: A Double-Blind Randomized Controlled Trial.” Gut Microbes 15: 2247025. https://doi.org/10.1080/19490976.2023.2247025

[20]

Costea, Paul I., Falk Hildebrand, Manimozhiyan Arumugam, Fredrik Bäckhed, Martin J. Blaser, Frederic D. Bushman, Willem M. de Vos, et al. 2018. “Enterotypes in the Landscape of Gut Microbial Community Composition.” Nature Microbiology 3: 8-16. https://doi.org/10.1038/s41564-017-0072-8

[21]

Parker, Bianca J., Pamela A. Wearsch, Alida C. M. Veloo, and Alex Rodriguez-Palacios. 2020. “The Genus Alistipes: Gut Bacteria With Emerging Implications to Inflammation, Cancer, and Mental Health.” Frontiers in Immunology 11: 906. https://doi.org/10.3389/fimmu.2020.00906

[22]

Koren, Omry, Aymé Spor, Jenny Felin, Frida Fåk, Jesse Stombaugh, Valentina Tremaroli, Carl Johan Behre, et al. 2011. “Human Oral, Gut, and Plaque Microbiota in Patients With Atherosclerosis.” Proceedings of the National Academy of Sciences 108(Suppl 1): 4592-4598. https://doi.org/10.1073/pnas.1011383107

[23]

Atarashi, Koji, Takeshi Tanoue, Tatsuichiro Shima, Akemi Imaoka, Tomomi Kuwahara, Yoshika Momose, Genhong Cheng, et al. 2011. “Induction of Colonic Regulatory T Cells by Indigenous Clostridium Species.” Science 331: 337-341. https://doi.org/10.1126/science.1198469

[24]

Paone, Paola, and Patrice D. Cani. 2020. “Mucus Barrier, Mucins and Gut Microbiota: The Expected Slimy Partners?” Gut 69: 2232-2243. https://doi.org/10.1136/gutjnl-2020-322260

[25]

Capuron, Lucile, Sebastian Schroecksnadel, Catherine Féart, Agnès Aubert, Denise Higueret, Pascale Barberger-Gateau, Sophie Layé, and Dietmar Fuchs. 2011. “Chronic Low-Grade Inflammation in Elderly Persons Is Associated With Altered Tryptophan and Tyrosine Metabolism: Role in Neuropsychiatric Symptoms.” Biological Psychiatry 70: 175-182. https://doi.org/10.1016/j.biopsych.2010.12.006

[26]

Wang, Chao-Hung, Wei-Siang Chen, Min-Hui Liu, Chi-Ying Lee, Mei-Ying Wang, Chung-Yu Liang, Chien-Ming Chu, Huang-Ping Wu, and Wen-Hsin Chen. 2022. “Stress Hyperphenylalaninemia Is Associated with Mortality in Cardiac ICU: Clinical Factors, Genetic Variants, and Pteridines.” Critical Care Medicine 50: 1577-1587. https://doi.org/10.1097/CCM.0000000000005640

[27]

Harber, Karl J., Kyra E. de Goede, Sanne G. S. Verberk, Elisa Meinster, Helga E. de Vries, Michel van Weeghel, Menno P. J. de Winther, and Jan Van den Bossche. 2020. “Succinate Is an Inflammation-Induced Immunoregulatory Metabolite in Macrophages.” Metabolites 10: 372. https://doi.org/10.3390/metabo10090372

[28]

Liu, Yali, Yuanlong Hou, Guangji Wang, Xiao Zheng, and Haiping Hao. 2020. “Gut Microbial Metabolites of Aromatic Amino Acids as Signals in Host-Microbe Interplay.” Trends in Endocrinology & Metabolism 31: 818-834. https://doi.org/10.1016/j.tem.2020.02.012

[29]

Summers, Scott A., Bhagirath Chaurasia, and William L. Holland. 2019. “Metabolic Messengers: Ceramides.” Nature Metabolism 1: 1051-1058. https://doi.org/10.1038/s42255-019-0134-8

[30]

Castoldi, Angela, Lauar B. Monteiro, Nikki van Teijlingen Bakker, David E. Sanin, Nisha Rana, Mauro Corrado, Alanna M. Cameron, et al. 2020. “Triacylglycerol Synthesis Enhances Macrophage Inflammatory Function.” Nature Communications 11: 4107. https://doi.org/10.1038/s41467-020-17881-3

[31]

Laursen, Mia Roest, Jakob Hansen, Casper Elkjær, Ninna Stavnager, Camilla Bak Nielsen, Kasper Pryds, Jacob Johnsen, et al. 2017. “Untargeted Metabolomics Reveals a Mild Impact of Remote Ischemic Conditioning on the Plasma Metabolome and α-Hydroxybutyrate as a Possible Cardioprotective Factor and Biomarker of Tissue Ischemia.” Metabolomics 13: 67. https://doi.org/10.1007/s11306-017-1202-2

[32]

Nemet, Ina, Prasenjit Prasad Saha, Nilaksh Gupta, Weifei Zhu, Kymberleigh A. Romano, Sarah M. Skye, Tomas Cajka, et al. 2020. “A Cardiovascular Disease-Linked Gut Microbial Metabolite Acts via Adrenergic Receptors.” Cell 180: 862-877.e22. https://doi.org/10.1016/j.cell.2020.02.016

[33]

den Ouden, Henk, Linette Pellis, Guy E. H. M. Rutten, Ilse K. Geerars-Van vonderen, Carina M. Rubingh, Ben van Ommen, Marjan J. van Erk, and Joline W. J. Beulens. 2016. “Metabolomic Biomarkers for Personalised Glucose Lowering Drugs Treatment in Type 2 Diabetes.” Metabolomics 12: 27. https://doi.org/10.1007/s11306-015-0930-4

[34]

Zhang, Shijun, Zhibo Gai, Ting Gui, Juanli Chen, Qingfa Chen, and Yunlun Li. 2021. “Antioxidant Effects of Protocatechuic Acid and Protocatechuic Aldehyde: Old Wine in a New Bottle.” Evidence-Based Complementary and Alternative Medicine 2021: 6139308. https://doi.org/10.1155/2021/6139308

[35]

Polcz, Monica E., and Adrian Barbul. 2019. “The Role of Vitamin A in Wound Healing.” Nutrition in Clinical Practice 34: 695-700. https://doi.org/10.1002/ncp.10376

[36]

Quehenberger, Oswald, and Edward A. Dennis. 2011. “The Human Plasma Lipidome.” New England Journal of Medicine 365: 1812-1823. https://doi.org/10.1056/NEJMra1104901

[37]

Yu, Gang, Cuifang Xu, Danni Zhang, Feng Ju, and Yan Ni. 2022. “MetOrigin: Discriminating the Origins of Microbial Metabolites for Integrative Analysis of the Gut Microbiome and Metabolome.” Imeta 1: e10. https://doi.org/10.1002/imt2.10

[38]

Ridker, Paul M., Lei Lei, Michael J. Louie, Tariq Haddad, Stephen J. Nicholls, A. Michael Lincoff, Peter Libby, and Steven E. Nissen, CLEAR Outcomes Investigators. 2024. “Inflammation and Cholesterol as Predictors of Cardiovascular Events Among 13,970 Contemporary High-Risk Patients With Statin Intolerance.” Circulation 149: 28-35. https://doi.org/10.1161/circulationaha.123.066213

[39]

Schwaerzer, Gerburg. 2023. “Inflammation Is a Stronger Predictor of Cardiovascular Events Than LDLC Levels.” Nature Cardiovascular Research 2: 338. https://doi.org/10.1038/s44161-023-00264-4

[40]

Lawler, Patrick R., Deepak L. Bhatt, Lucas C. Godoy, Thomas F. Lüscher, Robert O. Bonow, Subodh Verma, and Paul M. Ridker. 2021. “Targeting Cardiovascular Inflammation: Next Steps in Clinical Translation.” European Heart Journal 42: 113-131. https://doi.org/10.1093/eurheartj/ehaa099

[41]

Ott, Stephan J., Nour Eddine El Mokhtari, Meike Musfeldt, Stephan Hellmig, Sandra Freitag, Ateequr Rehman, Tanja Kühbacher, et al. 2006. “Detection of Diverse Bacterial Signatures in Atherosclerotic Lesions of Patients With Coronary Heart Disease.” Circulation 113: 929-937. https://doi.org/10.1161/circulationaha.105.579979

[42]

Rios-Covián, D., B. Sánchez, I. Cuesta, S. Cueto-Díaz, A. M. Hernández-Barranco, M. Gueimonde, and C. G. De los Reyes-Gavilán. 2016. “Glucolytic Fingerprinting Reveals Metabolic Groups Within the Genus Bifidobacterium: An Exploratory Study.” Beneficial Microbes 7: 265-274. https://doi.org/10.3920/BM2015.0129

[43]

Osuna-Prieto, Francisco J., Borja Martinez-Tellez, Lourdes Ortiz-Alvarez, Xinyu Di, Lucas Jurado-Fasoli, Huiwen Xu, Victoria Ceperuelo-Mallafré, et al. 2021. “Elevated Plasma Succinate Levels Are Linked to Higher Cardiovascular Disease Risk Factors in Young Adults.” Cardiovascular Diabetology 20: 151. https://doi.org/10.1186/s12933-021-01333-3

[44]

O'Callaghan, Amy, and Douwe van Sinderen. 2016. “Bifidobacteria and Their Role as Members of the Human Gut Microbiota.” Frontiers in Microbiology 7: 925. https://doi.org/10.3389/fmicb.2016.00925

[45]

Gavzy, Samuel J., Allison Kensiski, Zachariah L. Lee, Emmanuel F. Mongodin, Bing Ma, and Jonathan S. Bromberg. 2023. “Bifidobacterium Mechanisms of Immune Modulation and Tolerance.” Gut Microbes 15: 2291164. https://doi.org/10.1080/19490976.2023.2291164

[46]

Xu, Jing, Yicheng Yang, Xin Li, Shusi Ding, Lemin Zheng, Changming Xiong, and Yuejin Yang. 2023. “Pleiotropic Activities of Succinate: The Interplay Between Gut Microbiota and Cardiovascular Diseases.” imeta 2: e124. https://doi.org/10.1002/imt2.124

[47]

Cheng, Chi-Wen, Min-Hui Liu, Hsiang-Yu Tang, Mei-Ling Cheng, and Chao-Hung Wang. 2021. “Factors Associated With Elevated Plasma Phenylalanine in Patients With Heart Failure.” Amino Acids 53: 149-157. https://doi.org/10.1007/s00726-020-02933-1

[48]

Wyse, Angela T. S., Tiago M. Dos Santos, Bianca Seminotti, and Guilhian Leipnitz. 2021. “Insights From Animal Models on the Pathophysiology of Hyperphenylalaninemia: Role of Mitochondrial Dysfunction, Oxidative Stress and Inflammation.” Molecular Neurobiology 58: 2897-2909. https://doi.org/10.1007/s12035-021-02304-1

[49]

Koeth, Robert A., Zeneng Wang, Bruce S. Levison, Jennifer A. Buffa, Elin Org, Brendan T. Sheehy, Earl B. Britt, et al. 2013. “Intestinal Microbiota Metabolism of L-Carnitine, a Nutrient in Red Meat, Promotes Atherosclerosis.” Nature Medicine 19: 576-585. https://doi.org/10.1038/nm.3145

[50]

Zhang, Shu-jie, Zi-hua Li, Yu-dian Zhang, Jin Chen, Yuan Li, Fu-qing Wu, Wei Wang, Zong Jie Cui, and Guo-Qiang Chen. 2021. “Ketone Body 3-Hydroxybutyrate Ameliorates Atherosclerosis via Receptor Gpr109a-Mediated Calcium Influx.” Advanced Science 8: 2003410. https://doi.org/10.1002/advs.202003410

[51]

Christensen, Kristian Hylleberg, Roni R. Nielsen, Morten Schou, Ida Gustafsson, Anders Jorsal, Allan Flyvbjerg, Lise Tarnow, et al. 2024. “Circulating 3-Hydroxy Butyrate Predicts Mortality in Patients With Chronic Heart Failure with Reduced Ejection Fraction.” ESC Heart Failure 11: 837-845. https://doi.org/10.1002/ehf2.14476

[52]

Matsuura, Timothy R., Patrycja Puchalska, Peter A. Crawford, and Daniel P. Kelly. 2023. “Ketones and the Heart: Metabolic Principles and Therapeutic Implications.” Circulation Research 132: 882-898. https://doi.org/10.1161/circresaha.123.321872

[53]

Puchalska, Patrycja, and Peter A. Crawford. 2017. “Multi-Dimensional Roles of Ketone Bodies in Fuel Metabolism, Signaling, and Therapeutics.” Cell Metabolism 25: 262-284. https://doi.org/10.1016/j.cmet.2016.12.022

[54]

Cho, Jung-Hwan, and Sunghwan Suh. 2024. “Glucocorticoid-Induced Hyperglycemia: A Neglected Problem.” Endocrinology and Metabolism 39: 222-238. https://doi.org/10.3803/EnM.2024.1951

[55]

Rosalki, S. B., and J. H. Wilkinson. 1960. “Reduction of α-Ketobutyrate by Human Serum.” Nature 188: 1110-1111. https://doi.org/10.1038/1881110a0

[56]

Sousa, André P., Diogo M. Cunha, Carolina Franco, Catarina Teixeira, Frantz Gojon, Pilar Baylina, and Ruben Fernandes. 2021. “Which Role Plays 2-Hydroxybutyric Acid on Insulin Resistance?” Metabolites 11: 835. https://doi.org/10.3390/metabo11120835

[57]

Syed Ikmal, Sharifah Intan Qhadijah, Hasniza Zaman Huri, Shireene Ratna Vethakkan, and Wan Azman Wan Ahmad. 2013. “Potential Biomarkers of Insulin Resistance and Atherosclerosis in Type 2 Diabetes Mellitus Patients With Coronary Artery Disease.” International Journal of Endocrinology 2013: 698567. https://doi.org/10.1155/2013/698567

[58]

Halfvarson, Jonas, Colin J. Brislawn, Regina Lamendella, Yoshiki Vázquez-Baeza, William A. Walters, Lisa M. Bramer, Mauro D'Amato, et al. 2017. “Dynamics of the Human Gut Microbiome in Inflammatory Bowel Disease.” Nature Microbiology 2: 17004. https://doi.org/10.1038/nmicrobiol.2017.4

[59]

D'Agostino, Sr., Ralph B., Ramachandran S. Vasan, Michael J. Pencina, Philip A. Wolf, Mark Cobain, Joseph M. Massaro, and William B. Kannel. 2008. “General Cardiovascular Risk Profile for Use in Primary Care: The Framingham Heart Study.” Circulation 117: 743-753. https://doi.org/10.1161/circulationaha.107.699579

[60]

Talmor-Barkan, Yeela, Noam Bar, Aviv A. Shaul, Nir Shahaf, Anastasia Godneva, Yuval Bussi, Maya Lotan-Pompan, et al. 2022. “Metabolomic and Microbiome Profiling Reveals Personalized Risk Factors for Coronary Artery Disease.” Nature Medicine 28: 295-302. https://doi.org/10.1038/s41591-022-01686-6

[61]

Knuuti, Juhani, William Wijns, Antti Saraste, Davide Capodanno, Emanuele Barbato, Christian Funck-Brentano, Eva Prescott, et al. 2020. “2019 ESC Guidelines for the Diagnosis and Management of Chronic Coronary Syndromes.” European Heart Journal 41: 407-477. https://doi.org/10.1093/eurheartj/ehz425

[62]

Montalescot, Gilles, Udo Sechtem, Stephan Achenbach, Felicita Andreotti, Chris Arden, Andrzej Budaj, Raffaele Bugiardini, et al. 2013. “2013 ESC Guidelines on the Management of Stable Coronary Artery Disease: The Task Force on the Management of Stable Coronary Artery Disease of the European Society of Cardiology.” European Heart Journal 34: 2949-3003. https://doi.org/10.1093/eurheartj/eht296

[63]

Thygesen, Kristian, Joseph S. Alpert, Allan S. Jaffe, Bernard R. Chaitman, Jeroen J. Bax, David A. Morrow, and Harvey D. White, Executive Group on behalf of the Joint European Society of Cardiology/American College of Cardiology/American Heart Association/World Heart Federation Task Force for the Universal Definition of Myocardial Infarction. 2018. “Fourth Universal Definition of Myocardial Infarction (2018).” Journal of the American College of Cardiology 138: 2231-2264. https://doi.org/10.1161/CIR.0000000000000617

[64]

Goodrich, Julia K., Sara C. Di Rienzi, Angela C. Poole, Omry Koren, William A. Walters, J. Gregory Caporaso, Rob Knight, and Ruth E. Ley. 2014. “Conducting a Microbiome Study.” Cell 158: 250-262. https://doi.org/10.1016/j.cell.2014.06.037

[65]

Blanco-Míguez, Aitor, Francesco Beghini, Fabio Cumbo, Lauren J. McIver, Kelsey N. Thompson, Moreno Zolfo, Paolo Manghi, et al. 2023. “Extending and Improving Metagenomic Taxonomic Profiling With Uncharacterized Species Using MetaPhlAn 4.” Nature Biotechnology 41: 1633-1644. https://doi.org/10.1038/s41587-023-01688-w

[66]

Franzosa, Eric A., Lauren J. McIver, Gholamali Rahnavard, Luke R. Thompson, Melanie Schirmer, George Weingart, Karen Schwarzberg Lipson, et al. 2018. “Species-Level Functional Profiling of Metagenomes and Metatranscriptomes.” Nature Methods 15: 962-968. https://doi.org/10.1038/s41592-018-0176-y

[67]

Caspi, Ron, Richard Billington, Carol A. Fulcher, Ingrid M. Keseler, Anamika Kothari, Markus Krummenacker, Mario Latendresse, et al. 2018. “The MetaCyc Database of Metabolic Pathways and Enzymes.” Nucleic Acids Research 46: D633-D639. https://doi.org/10.1093/nar/gkx935

[68]

Wang, Zhe, Jinlan Zhang, Tiankun Ren, and Zhen Dong. 2016. “Targeted Metabolomic Profiling of Cardioprotective Effect of ginkgo biloba L. Extract on Myocardial Ischemia in Rats.” Phytomedicine 23: 621-631. https://doi.org/10.1016/j.phymed.2016.03.005

[69]

Liu, Peifang, Ruiting Li, Anton A. Antonov, Lihua Wang, Wei Li, Yunfei Hua, Huimin Guo, et al. 2017. “Discovery of Metabolite Biomarkers for Acute Ischemic Stroke Progression.” Journal of Proteome Research 16: 773-779. https://doi.org/10.1021/acs.jproteome.6b00779

[70]

Zhang, Rui, Peishan Hu, Qingce Zang, Xiaofei Yue, Zhi Zhou, Xiaoyu Xu, Jing Xu, et al. 2017. “LC-MS-based Metabolomics Reveals Metabolic Signatures Related to Glioma Stem-Like Cell Self-Renewal and Differentiation.” RSC Advances 7: 24221-24232. https://doi.org/10.1039/C7RA03781C

[71]

Mallick, Himel, Ali Rahnavard, Lauren J. McIver, Siyuan Ma, Yancong Zhang, Long H. Nguyen, Timothy L. Tickle, et al. 2021. “Multivariable Association Discovery in Population-Scale Meta-Omics Studies.” PLoS Computational Biology 17: e1009442. https://doi.org/10.1371/journal.pcbi.1009442

[72]

Sun, Haitao, Kaijian Sun, Hao Tian, Xiheng Chen, Shixing Su, Yi Tu, Shilan Chen, et al. 2024. “Integrated Metagenomic and Metabolomic Analysis Reveals Distinctive Stage-Specific Gut-Microbiome-Derived Metabolites in Intracranial Aneurysms.” Gut 73: 1662-1674. https://doi.org/10.1136/gutjnl-2024-332245

[73]

Kursa, Miron B., Aleksander Jankowski, and Witold R. Rudnicki. 2010. “Boruta-A System for Feature Selection.” Fundamenta Informaticae 101: 271-285. https://doi.org/10.3233/FI-2010-288

[74]

Ahmad, Ghulab Nabi, Hira Fatima, Shafi Ullah, Abdelaziz Salah Saidi, and Imdadullah. 2022. “Efficient Medical Diagnosis of Human Heart Diseases Using Machine Learning Techniques With and Without GridSearchCV.” IEEE Access 10: 80151-80173. https://doi.org/10.1109/ACCESS.2022.3165792

[75]

Ke, Guolin, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. “LightGBM: A Highly Efficient Gradient Boosting Decision Tree.” Advances in Neural Information Processing Systems 30: 52.

RIGHTS & PERMISSIONS

2025 The Author(s). iMeta published by John Wiley & Sons Australia, Ltd on behalf of iMeta Science.

PDF

0

Accesses

0

Citation

Detail

Sections
Recommended

/