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Yin H, Liu F, Bai B, Liu Q, Liu Y, Wang H, Wang Y, Liang YY, Liu A, Yu X, Jiang C, Wu C, Kong B, Liu J, Guo L, Fei H, Wang S, Jiang W, Ma H, Geng Q. Myocardial blood flow mechanism of mental stress-induced myocardial ischemia in women with ANOCA. iScience 2024; 27:111302. [PMID: 39628562 PMCID: PMC11613163 DOI: 10.1016/j.isci.2024.111302] [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] [Received: 02/05/2024] [Revised: 08/10/2024] [Accepted: 10/29/2024] [Indexed: 12/06/2024] Open
Abstract
Mental stress-induced myocardial ischemia (MSIMI) is linked to a 2-fold increase in cardiovascular events, but its underlying myocardial blood flow (MBF) mechanisms remain underexplored. Using nitrogen-13-ammonia cardiac positron emission tomography-computed tomography (PET-CT) assessing myocardial perfusion defect and MBF under resting, mental stress (MS), adenosine stress (AS) conditions, angina with no obstructive coronary artery disease (ANOCA) women showed a significantly higher prevalence of MSIMI compared to age-matched healthy controls (36/84 vs. 1/42, p < 0.001). The MBFAS and rate-pressure product-corrected MBFMS were consistently lower, especially in the left anterior descending artery territory, in participants with increased perfusion defect scores under MS. The lowest values of restricted coronary flow reserve and corrected MBFMS in participants of ANOCA&MSIMI+ group indicated that impaired coronary microvascular function and mismatch between myocardial blood supply and demand together constitute the pathogenic mechanism of MSIMI in ANOCA population. These findings deepen our understanding of the pathophysiological mechanisms of MSIMI and confirm the long-standing hypothesis of the involvement of impaired coronary microvascular function.
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Affiliation(s)
- Han Yin
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University. The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology), Shenzhen, China
| | - Fengyao Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Bingqing Bai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, Guangdong, China
| | - Quanjun Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Yuting Liu
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University. The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology), Shenzhen, China
| | - Haochen Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yu Wang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yannis Yan Liang
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Anbang Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Xueju Yu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Cheng Jiang
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University. The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology), Shenzhen, China
| | - Chao Wu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Bo Kong
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- School of Medicine, South China University of Technology, Guangzhou, China
| | - Jingjin Liu
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University. The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology), Shenzhen, China
| | - Lan Guo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hongwen Fei
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shuxia Wang
- Department of Nuclear Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei Jiang
- Department of Internal Medicine, Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA
| | - Huan Ma
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qingshan Geng
- The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
- Department of Geriatrics, Shenzhen Clinical Research Centre for Geriatrics, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University. The First Affiliated Hospital, School of Medicine, Southern University of Science and Technology), Shenzhen, China
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Kong B, Fei H, Cheng S, Ma H, Yin H, Li M, Liu Q, Liu Y, Bai B, Liu F, Guo L, Geng Q. Mental Stress-Induced Myocardial Ischemia Detected by Global Longitudinal Strain and Quantitative Myocardial Contrast Echocardiography in Women With Nonobstructive Coronary Artery Disease. J Am Soc Echocardiogr 2024; 37:894-905. [PMID: 38761987 DOI: 10.1016/j.echo.2024.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/03/2024] [Accepted: 05/04/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND The utility of radionuclide myocardial perfusion imaging including positron emission tomography (PET) for diagnosing mental stress-induced myocardial ischemia (MSIMI) is clinically restricted. This study aims to assess the diagnostic performance of novel echocardiographic techniques, including automated strain and quantitative myocardial contrast echocardiography (MCE) with dedicated software and deep neural network model, for MSIMI detection. The secondary objective was to explore the correlation between changes in myocardial blood flow and MSIMI. METHODS Seventy-two female patients ages 18 to 75 with angina and nonobstructive coronary artery disease (ANOCA) and 23 healthy controls were prospectively recruited. Both echocardiography with contrast agent and PET imaging were performed during structured mental stress testing. Mental stress-induced myocardial ischemia was defined as a summed difference score ≥3 on PET. Echocardiographic parameters including left ventricular global longitudinal strain, β, and A × β were obtained, and their trends during mental stress testing were observed. ΔGLS was defined as the ratio of difference between global longitudinal strain values at stress and rest to the rest data. β reserve and A×β reserve were respectively calculated. RESULTS Thirty-two ANOCA patients (44%) and 1 control (4%) were diagnosed with MSIMI (P < .01). For ANOCA patients with MSIMI, left ventricular GLS, β, and A × β declined to varied extents during mental stress testing compared with those without MSIMI and the controls (P < .05). Bland-Altman plots demonstrated good consistency between β reserve and A × β reserve output by the deep neural network model and iMCE software. Receiver operating characteristic curve analyses showed that ΔGLS, β reserve, and A × β reserve demonstrated favorable ability to predict MSIMI, especially the combination of A × β reserve using iMCE analysis and ΔGLS (area under the curve, 0.94; sensitivity, 83%; specificity, 97%). CONCLUSIONS Novel technologies in echocardiography exhibit the potential to be a clinical alternative to cardiac PET for effectively detecting MSIMI. Attenuated myocardial blood flow response during structured mental stress testing was correlated with MSIMI, providing a reasonable explanation for the chest discomfort persisting in ANOCA women.
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Affiliation(s)
- Bo Kong
- Department of Echocardiography, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hongwen Fei
- Department of Echocardiography, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shiyao Cheng
- Department of Cardiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Huan Ma
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Han Yin
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Mingqi Li
- Department of Ultrasonography, Renmin Hospital of Wuhan University, Wuhan, China
| | - Quanjun Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuting Liu
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China
| | - Bingqing Bai
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fengyao Liu
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Lan Guo
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qingshan Geng
- Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
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Liu Y, Jiang W, Wang H, Xu M, Liao Y, Zhou H, Bai B, Liu F, Yin H, Liu Q, Liang Y, Yu X, Guo L, Wang S, Ma H, Geng Q. Objective Ischemia, Subjective Angina, and Psychological Distress in Angina With No Obstructive Coronary Disease. J Am Heart Assoc 2024; 13:e034644. [PMID: 39082421 DOI: 10.1161/jaha.124.034644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 06/14/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND Angina with no obstructive coronary disease (ANOCA) and ischemia with no obstructive coronary disease, prevalent yet underrecognized conditions, mostly affect women. Previous studies rarely distinguished between them. We aimed to compare the prevalence of objective ischemia through various examinations in women with ANOCA and assess the impact of objective and subjective ischemia on their mental health. METHODS AND RESULTS A total of 84 eligible women with ANOCA and 42 controls underwent mental stress, pharmacological stress, exercise stress, and Holter testing. Objective evidence of myocardial ischemia was assessed by positron emission tomography-computed tomography and ECG, and subjective symptoms were graded using the Canadian Cardiovascular Society scale (CCS). Psychological assessments were conducted using 6 scales. Among 84 women with ANOCA, 37 (44%) received a diagnosis of ischemia with no obstructive coronary disease following mental stress testing, 20 (28.6%) through pharmacological stress testing, 14 (21.2%) via exercise stress testing, and 24 (32.9%) from Holter. Mental stress-induced myocardial ischemia was more prevalent (P<0.05). Among 54 patients with ANOCA who completed all tests, 30% showed no ischemia, and only 1 (1.9%) showed ischemia in all tests. In addition, patients with ANOCA had higher psychological scores than controls (P<0.01). No significant differences was observed in psychological scores between ANOCA with positive and negative ischemia test results (P>0.05). However, ANOCA with milder angina (CCS I) exhibited higher scores across the Hospital Anxiety and Depression Scale, State-Trait Anxiety Inventory, Perceived Stress Scale, and Posttraumatic Stress Disorder Checklist-Civilian Version and a higher prevalence of Type D personality traits (P<0.05). CONCLUSIONS In patients with ANOCA, the positive rate of myocardial ischemia exhibits variability among several noninvasive tests. A worsened psychological state is more closely linked to milder angina symptoms than to ischemia performance, highlighting the importance of focusing on symptom management in their psychological care. REGISTRATION URL: https://www.clinicaltrials.gov; Unique identifier: NCT03982901.
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Affiliation(s)
- Yuting Liu
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen Guangdong China
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Wei Jiang
- Department of Internal Medicine, Department of Psychiatry and Behavioral Sciences Duke University Medical Center Durham NC USA
| | - Haochen Wang
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Mingyu Xu
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Yingxue Liao
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Haofeng Zhou
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Bingqing Bai
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Fengyao Liu
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Han Yin
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen Guangdong China
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Quanjun Liu
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Yanting Liang
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen Guangdong China
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Xueju Yu
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Lan Guo
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Shuxia Wang
- Department of Nuclear Medicine, Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou China
| | - Huan Ma
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
| | - Qingshan Geng
- Guangdong Provincial Clinical Research Center for Geriatrics, Shenzhen Clinical Research Center for Geriatrics Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology) Shenzhen Guangdong China
- Department of Cardiology Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University Guangzhou Guangzhou China
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Peng X, Li D, Quan J, Wu C, Li H, Liu E, Hu L, Huang S, Kong L, Chen X, Yang H, Liang H, Wang S, Ma H, Geng Q. A multimodal physiological and psychological dataset for human with mental stress induced myocardial ischemia. Sci Data 2024; 11:704. [PMID: 38937514 PMCID: PMC11211436 DOI: 10.1038/s41597-024-03462-2] [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: 04/14/2023] [Accepted: 06/03/2024] [Indexed: 06/29/2024] Open
Abstract
Accurate differentiation between angina with no obstructive coronary arteries (ANOCA) and mental stress-induced myocardial ischemia (MSIMI) is crucial for tailored treatment strategies, yet public data scarcity hampers understanding. Given the higher incidence of both conditions in women, this study prospectively enrolled 80 female ANOCA and 39 age-matched female controls, subjecting them to three types of mental stress tasks. ECGs were continuously monitored across Rest, Stress, and Recover stages of the mental stress tasks, with PET/CT imaging during the Stress stage to evaluate myocardial perfusion. With PET/CT serving as the gold standard for MSIMI diagnosis, 35 of the 80 ANOCA patients were diagnosed as MSIMI. Using ECG variables from different stages of mental stress tasks, we developed five machine learning models to diagnose MSIMI. The results showed that ECG data from different stages provide valuable information for MSIMI classification. Additionally, the dataset encompassed demographic details, physiological, and blood sample test results of the patients. We anticipate this new dataset will significantly push further progress in ANOCA and MSIMI research.
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Affiliation(s)
- Xiaoting Peng
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Dantong Li
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Jun Quan
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
| | - Chao Wu
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
| | - Huixian Li
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Entao Liu
- Department of Nuclear Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Lianting Hu
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Shuai Huang
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Lingcong Kong
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Xuanhui Chen
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Huan Yang
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China
| | - Huiying Liang
- Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, China.
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
- Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Province, 510080, China.
| | - Shuxia Wang
- Department of Nuclear Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
| | - Huan Ma
- Guangdong Provincial Cardiovascular Institute, Guangzhou, Guangdong Province, 510080, China.
| | - Qingshan Geng
- Department of Cardiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, Guangdong, China.
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Liu F, Wang H, Bai B, Yin H, Liu Y, Wang Y, Liu Q, Wang S, Ma H, Geng Q. Obstructive Sleep Apnea as a Key Contributor to Mental Stress-Induced Myocardial Ischemia in Female Angina Patients with No Obstructive Coronary Artery Disease. Nat Sci Sleep 2024; 16:823-832. [PMID: 38911317 PMCID: PMC11192149 DOI: 10.2147/nss.s445219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Accepted: 06/05/2024] [Indexed: 06/25/2024] Open
Abstract
Purpose Mental stress induced myocardial ischemia (MSIMI) is regarded as the primary cause of the angina with no obstructive coronary artery disease (ANOCA). Obstructive sleep apnea (OSA) is autonomously linked to obstructive coronary heart disease, hypertension, and sudden cardiac death. Similar to the impact of psychological stress on the cardiovascular system, individuals with OSA experience periodic nocturnal hypoxia, resulting in the activation of systemic inflammation, oxidative stress, endothelial dysfunction, and sympathetic hyperactivity. The contribution of OSA to MSIMI in ANOCA patients is unclear. To explore the prevalence of OSA in ANOCA patients and the correlation between OSA and MSIMI, a prospective cohort of female ANOCA patients was recruited. Patients and Methods We recruited female patients aged 18 to 75 years old with ANOCA and evaluated MSIMI using positron emission tomography-computed tomography. Subsequently, Level III portable monitors was performed to compare the relationship between OSA and MSIMI. Results There is higher REI (7.8 vs 2.6, P=0.019), ODI (4.7 vs 9.2, P=0.028) and percentage of OSA (67.74% vs 33.33%, P=0.004) in MSIMI patients. The patients diagnosed with OSA demonstrated higher myocardial perfusion imaging scores (SSS: 1.5 vs 3, P = 0.005, SDS: 1 vs 3, P = 0.007). Adjusted covariates, the risk of developing MSIMI remained 3.6 times higher in OSA patients (β=1.226, OR = 3.408 (1.200-9.681), P = 0.021). Conclusion Patients with MSIMI exhibit a greater prevalence of OSA. Furthermore, the myocardial blood flow perfusion in patients with OSA is reduced during mental stress.
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Affiliation(s)
- Fengyao Liu
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Haochen Wang
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Bingqing Bai
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou, People’s Republic of China
| | - Han Yin
- Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, the First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, People’s Republic of China
| | - Yuting Liu
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yu Wang
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Quanjun Liu
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Shuxia Wang
- Department of Nuclear Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Huan Ma
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Qingshan Geng
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
- Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, the First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, People’s Republic of China
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6
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Sun W, Mei L, Zhang A, Lai S, Qu X. Computed tomography myocardial perfusion imaging to detect myocardial ischemia in patients with anxiety and obstructive coronary heart disease post-exposure to mental stressors. Sci Rep 2024; 14:10685. [PMID: 38724607 PMCID: PMC11082233 DOI: 10.1038/s41598-024-61568-4] [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: 12/25/2023] [Accepted: 05/07/2024] [Indexed: 05/12/2024] Open
Abstract
This study aims to measure myocardial blood flow (MBF) using dynamic CT- myocardial perfusion imaging (CT-MPI) combined with mental stressors in patients with obstructive coronary artery disease (OCAD) and in patients with anxiety and no obstructive coronary artery disease (ANOCAD). A total of 30 patients with OCAD with 30 patients with ANOCAD were included in this analysis. Using the 17-segment model, the rest and stress phase MBF of major coronary arteries in participants were recorded respectively. Compared with ANOCAD patients, OCAD patients were more likely to have localized reduction of MBF (p < 0.05). For patients with ANOCAD, both global MBF and MBF of the main coronary arteries in the stress phase were lower than those in the rest phase (all p < 0.05), but there was no significant difference in MBF among the main coronary arteries in the rest or stress phase (p = 0.25, p = 0.15). For patients with OCAD, the MBF of the target area was lower than that of the non-target area in both the rest and stress phase, and the MBF of the target area in the stress phase was lower than that in the rest phase (all p < 0.05). However, there was no significant difference in MBF between the rest or stress phase in the non-target area (p = 0.73). Under mental stress, the decrease in MBF in ANOCAD patients was diffuse, while the decrease in MBF in OCAD patients was localized. Dynamic CT-MPI combined with mental stressors can be used to detect MBF changes in anxiety patients.
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Affiliation(s)
- Weihang Sun
- Department of Radiology, The Second Hospital of Dalian Medical University, No.467 Zhongshan Road, Shahekou District, Dalian City, Liaoning Province, China
| | - Lingjun Mei
- Department of Radiology, The Second Hospital of Dalian Medical University, No.467 Zhongshan Road, Shahekou District, Dalian City, Liaoning Province, China
| | - Aodan Zhang
- Department of Radiology, The Second Hospital of Dalian Medical University (Diamond Bay), Dalian City, Liaoning Province, China, No. 216 Shanzhong Road, Ganjingzi District
| | - Shengyuan Lai
- Department of Radiology, The Second Hospital of Dalian Medical University, No.467 Zhongshan Road, Shahekou District, Dalian City, Liaoning Province, China.
| | - Xiaofeng Qu
- Department of Radiology, The Second Hospital of Dalian Medical University, No.467 Zhongshan Road, Shahekou District, Dalian City, Liaoning Province, China.
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Ren Y, Tang H, Zhang L, Ying C, Luo H. Exploration of therapeutic models for psycho-cardiology: From cardiac to psychological rehabilitation. Heliyon 2024; 10:e27484. [PMID: 38524561 PMCID: PMC10958220 DOI: 10.1016/j.heliyon.2024.e27484] [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] [Received: 11/13/2022] [Revised: 02/13/2024] [Accepted: 02/29/2024] [Indexed: 03/26/2024] Open
Abstract
The prevalence and mortality of cardiovascular disease are relatively high. Currently, depression has been proven to be an independent risk factor for the occurrence and poor prognosis of cardiovascular disease. Psycho-cardiovascular comorbidity, as a reciprocal cause and effect, affects each other, leading to the deterioration of clinical prognosis and forming a vicious circle. Coronary artery disease comorbidity with depression is a common disease in psycho-cardiology medicine. This paper expounds on the exploration of the treatment model of psycho-cardiology from the aspects of epidemiological characteristics, comorbidity mechanism, screening, diagnosis, and treatment.
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Affiliation(s)
- Yu Ren
- Department of Pharmacy, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang, China
| | - Huilin Tang
- Department of General Surgery, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang, China
| | - Liwei Zhang
- Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang, China
| | - Chenfei Ying
- Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang, China
| | - Hua Luo
- Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, 317000, Zhejiang, China
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Ma H, Jiang W, Guo L, Yin H, Wang H, Liu Y, Bai B, Liu Q, Wang S, Geng Q. Mental Stress Testing in Women With Angina and No Obstructive Coronary Artery Disease. J Am Coll Cardiol 2023; 81:2210-2211. [PMID: 37257957 DOI: 10.1016/j.jacc.2023.03.427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 02/09/2023] [Accepted: 03/30/2023] [Indexed: 06/02/2023]
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Jotwani ML, Wu Z, Lunde CE, Sieberg CB. The missing mechanistic link: Improving behavioral treatment efficacy for pediatric chronic pain. FRONTIERS IN PAIN RESEARCH 2022; 3:1022699. [PMID: 36313218 PMCID: PMC9614027 DOI: 10.3389/fpain.2022.1022699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/26/2022] [Indexed: 11/07/2022] Open
Abstract
Pediatric chronic pain is a significant global issue, with biopsychosocial factors contributing to the complexity of the condition. Studies have explored behavioral treatments for pediatric chronic pain, but these treatments have mixed efficacy for improving functional and psychological outcomes. Furthermore, the literature lacks an understanding of the biobehavioral mechanisms contributing to pediatric chronic pain treatment response. In this mini review, we focus on how neuroimaging has been used to identify biobehavioral mechanisms of different conditions and how this modality can be used in mechanistic clinical trials to identify markers of treatment response for pediatric chronic pain. We propose that mechanistic clinical trials, utilizing neuroimaging, are warranted to investigate how to optimize the efficacy of behavioral treatments for pediatric chronic pain patients across pain types and ages.
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Affiliation(s)
- Maya L. Jotwani
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States
- Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Ziyan Wu
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States
- Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Claire E. Lunde
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States
- Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States
- Nuffield Department of Women's and Reproductive Health, Medical Sciences Division, University of Oxford, Oxford, United Kingdom
| | - Christine B. Sieberg
- Department of Psychiatry and Behavioral Sciences, Biobehavioral Pain Innovations Lab, Boston Children's Hospital, Boston, MA, United States
- Pain and Affective Neuroscience Center, Department of Anesthesiology, Critical Care, Pain Medicine, Boston Children's Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
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Modulation of Vascular Smooth Muscle Cell Multiplication, Apoptosis, and Inflammatory Damage by miR-21 in Coronary Heart Disease. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2021; 2021:6942699. [PMID: 34873417 PMCID: PMC8643245 DOI: 10.1155/2021/6942699] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/28/2021] [Accepted: 11/03/2021] [Indexed: 12/21/2022]
Abstract
This study is aimed at exploring the role and potential molecular mechanism of microRNA-21 (miR-21) in coronary heart disease (CHD). RT-qPCR analysis was conducted to detect the expression of miR-21, Sprouty 1 (SPRY1), and connexin 43 (CX43). The protein expression of SPRY1 and CX43 was measured by western blot. ELISA was performed for measuring inflammatory factors, including intercellular adhesion molecule-1 (ICAM-1) and interleukin-1 beta (IL-1β). The target relationship between miR-21 and SPRY1 was determined by dual-luciferase reporter assay. Cell multiplication and apoptosis were detected using CCK-8 assay and flow cytometry analysis, respectively. Our results indicated that miR-21, CX43, and the level of inflammatory cytokines including ICAM-1 and IL-1β were upregulated, while SPRY1 was downregulated in blood samples from CHD patients compared with the controls. Besides, miR-21 directly targeted SRPY-1. miR-21 could suppress SPRY1 expression and enhance CX43 expression in VSMCs. Moreover, miR-21 accelerated cell multiplication and attenuated cell apoptosis in VSMCs. Collectively, these findings suggested that miR-21 could effectively elevate VSMC multiplication and repress apoptosis by targeting SPRY1 in CHD, providing a potential target for therapeutic strategy of CHD.
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