|
1
|
Katsioupa M, Kourampi I, Oikonomou E, Tsigkou V, Theofilis P, Charalambous G, Marinos G, Gialamas I, Zisimos K, Anastasiou A, Katsianos E, Kalogeras K, Katsarou O, Vavuranakis M, Siasos G, Tousoulis D. Novel Biomarkers and Their Role in the Diagnosis and Prognosis of Acute Coronary Syndrome. Life (Basel) 2023; 13:1992. [PMID: 37895374 PMCID: PMC10608753 DOI: 10.3390/life13101992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 09/23/2023] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
The burden of cardiovascular diseases and the critical role of acute coronary syndrome (ACS) in their progression underscore the need for effective diagnostic and prognostic tools. Biomarkers have emerged as crucial instruments for ACS diagnosis, risk stratification, and prognosis assessment. Among these, high-sensitivity troponin (hs-cTn) has revolutionized ACS diagnosis due to its superior sensitivity and negative predictive value. However, challenges regarding specificity, standardization, and interpretation persist. Beyond troponins, various biomarkers reflecting myocardial injury, neurohormonal activation, inflammation, thrombosis, and other pathways are being explored to refine ACS management. This review article comprehensively explores the landscape of clinically used biomarkers intricately involved in the pathophysiology, diagnosis, and prognosis of ACS (i.e., troponins, creatine kinase MB (CK-MB), B-type natriuretic peptides (BNP), copeptin, C-reactive protein (CRP), interleukin-6 (IL-6), d-dimers, fibrinogen), especially focusing on the prognostic role of natriuretic peptides and of inflammatory indices. Research data on novel biomarkers (i.e., endocan, galectin, soluble suppression of tumorigenicity (sST2), microRNAs (miRNAs), soluble oxidized low-density lipoprotein receptor-1 (sLOX-1), F2 isoprostanes, and growth differentiation factor 15 (GDF-15)) are further analyzed, aiming to shed light on the multiplicity of pathophysiologic mechanisms implicated in the evolution of ACS. By elucidating the complex interplay of these biomarkers in ACS pathophysiology, diagnosis, and outcomes, this review aims to enhance our understanding of the evolving trajectory and advancements in ACS management. However, further research is necessary to establish the clinical utility and integration of these biomarkers into routine practice to improve patient outcomes.
Collapse
Affiliation(s)
- Maria Katsioupa
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Islam Kourampi
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Evangelos Oikonomou
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Vasiliki Tsigkou
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Panagiotis Theofilis
- 1st Department of Cardiology, “Hippokration” General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (P.T.); (D.T.)
| | - Georgios Charalambous
- Department of Emergency Medicine, “Hippokration” General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - George Marinos
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece;
| | - Ioannis Gialamas
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Konstantinos Zisimos
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Artemis Anastasiou
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Efstratios Katsianos
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Konstantinos Kalogeras
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Ourania Katsarou
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Manolis Vavuranakis
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Gerasimos Siasos
- 3rd Department of Cardiology, Thoracic Diseases General Hospital “Sotiria”, National and Kapodistrian University of Athens, 11527 Athens, Greece; (M.K.); (I.K.); (E.O.); (V.T.); (I.G.); (K.Z.); (A.A.); (E.K.); (K.K.); (O.K.); (M.V.)
| | - Dimitris Tousoulis
- 1st Department of Cardiology, “Hippokration” General Hospital, National and Kapodistrian University of Athens, 11527 Athens, Greece; (P.T.); (D.T.)
| |
Collapse
|
|
2
|
Li Q, Mei A, Qian H, Min X, Yang H, Zhong J, Li C, Xu H, Chen J. The role of myeloid-derived immunosuppressive cells in cardiovascular disease. Int Immunopharmacol 2023; 117:109955. [PMID: 36878043 DOI: 10.1016/j.intimp.2023.109955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Revised: 02/13/2023] [Accepted: 02/25/2023] [Indexed: 03/07/2023]
Abstract
Myeloid-derived suppressor cells (MDSCs) are a heterogeneous cell population found in the bone marrow, peripheral blood, and tumor tissue. Their role is mainly to inhibit the monitoring function of innate and adaptive immune cells, which leads to the escape of tumor cells and promotes tumor development and metastasis. Moreover, recent studies have found that MDSCs are therapeutic in several autoimmune disorders due to their strong immunosuppressive ability. Additionally, studies have found that MDSCs have an important role in the formation and progression of other cardiovascular diseases, such as atherosclerosis, acute coronary syndrome, and hypertension. In this review, we will discuss the role of MDSCs in the pathogenesis and treatment of cardiovascular disease.
Collapse
Affiliation(s)
- Qingmei Li
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China
| | - Aihua Mei
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China
| | - Hang Qian
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China
| | - Xinwen Min
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China
| | - Handong Yang
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China
| | - Jixin Zhong
- Department of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chunlei Li
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China.
| | - Hao Xu
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China.
| | - Jun Chen
- Sinopharm Dongfeng General Hospital (Hubei Clinical Research Center of Hypertension), Hubei University of Medicine, Hubei Key Laboratory of Wudang Local Chinese Medicine Research (Hubei University of Medicine), Shiyan, China.
| |
Collapse
|
|
3
|
Mohammadi T, D'Ascenzo F, Pepe M, Bonsignore Zanghì S, Bernardi M, Spadafora L, Frati G, Peruzzi M, De Ferrari GM, Biondi-Zoccai G. Unsupervised Machine Learning with Cluster Analysis in Patients Discharged after an Acute Coronary Syndrome: Insights from a 23,270-Patient Study. Am J Cardiol 2023; 193:44-51. [PMID: 36870114 DOI: 10.1016/j.amjcard.2023.01.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 01/06/2023] [Accepted: 01/29/2023] [Indexed: 03/06/2023]
Abstract
Characterization and management of patients admitted for acute coronary syndromes (ACS) remain challenging, and it is unclear whether currently available clinical and procedural features can suffice to inform adequate decision making. We aimed to explore the presence of specific subsets among patients with ACS. The details on patients discharged after ACS were obtained by querying an extensive multicenter registry and detailing patient features, as well as management details. The clinical outcomes included fatal and nonfatal cardiovascular events at 1-year follow-up. After missing data imputation, 2 unsupervised machine learning approaches (k-means and Clustering Large Applications [CLARA]) were used to generate separate clusters with different features. Bivariate- and multivariable-adjusted analyses were performed to compare the different clusters for clinical outcomes. A total of 23,270 patients were included, with 12,930 cases (56%) of ST-elevation myocardial infarction (STEMI). K-means clustering identified 2 main clusters: a first 1 including 21,998 patients (95%) and a second 1 including 1,282 subjects (5%), with equal distribution for STEMI. CLARA generated 2 main clusters: a first 1 including 11,268 patients (48%) and a second 1 with 12,002 subjects (52%). Notably, the STEMI distribution was significantly different in the CLARA-generated clusters. The clinical outcomes were significantly different across clusters, irrespective of the originating algorithm, including death reinfarction and major bleeding, as well as their composite. In conclusion, unsupervised machine learning can be leveraged to explore the patterns in ACS, potentially highlighting specific patient subsets to improve risk stratification and management.
Collapse
Affiliation(s)
- Tanya Mohammadi
- School of Mathematics, Statistics, and Computer Science, College of Science, University of Tehran, Tehran, Iran
| | - Fabrizio D'Ascenzo
- Division of Cardiology, Cardiovascular and Thoracic Department, Città della Salute e della Scienza, Turin, Italy
| | - Martino Pepe
- Division of Cardiology, Department of Emergency and Organ Transplantation, University of Bari, Bari, Italy
| | | | - Marco Bernardi
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Italy
| | - Luigi Spadafora
- Department of Clinical, Internal Medicine, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Italy
| | - Giacomo Frati
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy; IRCCS NEUROMED, Pozzilli, Italy
| | - Mariangela Peruzzi
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy; Mediterranea Cardiocentro, Napoli, Italy
| | - Gaetano Maria De Ferrari
- Division of Cardiology, Cardiovascular and Thoracic Department, Città della Salute e della Scienza, Turin, Italy
| | - Giuseppe Biondi-Zoccai
- Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy; Mediterranea Cardiocentro, Napoli, Italy.
| |
Collapse
|
|
4
|
Acute Coronary Syndrome: Unravelling the Biology to Identify New Therapies. Cells 2022; 11:cells11244136. [PMID: 36552899 PMCID: PMC9776788 DOI: 10.3390/cells11244136] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
Acute coronary syndrome (ACS) encompasses a spectrum of presentations including unstable angina, non-ST elevation myocardial infarction (NSTEMI) and ST-elevation myocardial infarction (STEMI) [...].
Collapse
|
|
5
|
Zhang YB, Liu HD, Xing JH, Chen BW, Zhao YY, Gu HP, Tao HL. Safety and Efficacy of Drug-Coated Balloons in Patients with Acute Coronary Syndromes and Vulnerable Plaque. Clin Appl Thromb Hemost 2022; 28:10760296221130063. [PMID: 36198017 PMCID: PMC9537494 DOI: 10.1177/10760296221130063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Percutaneous coronary intervention (PCI) is the main treatment option for acute coronary syndromes (ACS) often related to the progression and rupture of vulnerable plaques. While drug-eluting stents (DES) are now routinely used in PCI, drug-coated balloons (DCB) are a new strategy to PCI and their practice in the treatment of ACS with vulnerable plaques has not been reported. This study aimed to evaluate the safety and efficacy of DCB in ACS complicated with vulnerable plaque lesions. METHODS 123 patients were retrospectively analyzed and diagnosed with ACS and given PCI in our Cardiology Department from December 2020 to July 2022. Vulnerable plaques were confirmed by intravenous ultrasound (IVUS) in all patients. According to individual treatment plan, patients were entered into either DCB (n = 55) or DES (n = 68) groups. The results of coronary angiography and IVUS before and immediately after percutaneous coronary intervention were analyzed. The occurrence of major adverse cardiovascular events (MACE) and the results of coronary angiography were also evaluated during follow-up. RESULTS There were no significant differences in baseline clinical characteristics, preoperative minimal luminal diameter (MLD), and preoperative diameter stenosis (DS) between the two groups. Also, there were no differences in IVUS plaque burden (PB), vessel area, and lumen area in the two groups before and immediately after PCI. The efficacy analysis showed that immediately after PCI, the DCB group had smaller MLD and higher degrees of lumen stenosis than the DES group (P < 0.05). However, during follow-up, no significant differences in MLD and DS were seen in two groups; relatively, late loss in luminal diameter（LLL）in the DCB group was smaller (P＜0.05). Safety analysis showed that during follow-up, 9 patients developed restenosis after DCB implantation while restenosis occurred in 10 patients with DES treatment, no statistical difference in the incidence of restenosis in the two groups. Besides, there was no statistical difference in the incidence of major adverse cardiac events（MACE）during hospitalization and follow-up in the DCB group (7.3% (4/55)) and the DES group (8.8% (6/68)). CONCLUSION DCB is safe and effective for ACS complicated with vulnerable plaque and has an advantage over DES in LLL.
Collapse
Affiliation(s)
- Yu-Bin Zhang
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - Heng-Dao Liu
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - Jun-Hui Xing
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - Bo-Wen Chen
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - Yan-Yan Zhao
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - He-Ping Gu
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China
| | - Hai-Long Tao
- Department of Cardiology, Zhengzhou University First Affiliated
Hospital, Zhengzhou, Henan, China,Hai-Long Tao, MD, Department of Cardiology,
the First Affiliated Hospital of Zhengzhou University, Zhengzhou City, Henan
Province 450052, China.
| |
Collapse
|