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Zubair M, Kainat Raza Naqvi S, Aslam R, Ahmad H, Farooq A, Islam S. Role of HbA1c in Mortality Among Patients With a Medical History of Ischemic Stroke and Paroxysmal Atrial Fibrillation: A Systematic Review. Cureus 2024; 16:e75925. [PMID: 39830535 PMCID: PMC11740002 DOI: 10.7759/cureus.75925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2024] [Indexed: 01/22/2025] Open
Abstract
Elevated HbA1c, a marker of poor glycemic control, is associated with adverse cardiovascular outcomes and mortality. HbA1c influences outcomes through distinct mechanisms of vascular dysfunction and atherosclerosis in ischemic stroke, during atrial remodeling and thrombus formation in paroxysmal atrial fibrillation (PAF). Optimal HbA1c thresholds are generally below optimal levels, with levels above this being linked to higher mortality in both populations. At extremes of glycemic control in ischemic stroke, patients face recurrence and poor recovery, while PAF patients experience amplified thromboembolic risks. In patients with both conditions, poor HbA1c control synergistically raises mortality. This systematic review explores how HbA1c levels directly contribute to mortality in patients with ischemic stroke and PAF, aiming to establish a causal link between elevated HbA1c and increased mortality risk. This review includes a comprehensive analysis of four cross-sectional studies, five randomized controlled trials (RCTs), and 17 cohort studies, providing a diverse range of evidence on the topic. The inclusion of these study designs offers a well-rounded understanding of the impact and outcomes observed in the research. Mortality metrics include short-term mortality, such as 30-day or 90-day, and long-term mortality over one, three, or five years. Specific metrics, like cardiovascular mortality, focus on deaths from stroke; some studies link mortality to functional decline post-stroke, where complications from immobility or recurrent vascular events contribute to outcomes. Secondary outcomes include survival metrics, functional recovery metrics, and complications. Studies use narrative synthesis due to its ability to accommodate heterogeneity in study designs, populations, and outcome measures, enabling a nuanced interpretation of complex, context-dependent data. HbA1c levels' impact on stroke outcomes, considering age, gender, and severity, is also examined. Confounding factors, functional recovery, and complications are also considered. A narrative synthesis was chosen. The study emphasizes the importance of strict glycemic control in patients with ischemic stroke or PAF, especially those with elevated HbA1c levels. It supports clinical guidelines for individualized HbA1c targets, with most stroke patients having a target of <7%. Clinicians should prioritize close monitoring and tailor treatment plans to avoid extreme HbA1c levels, which could inform more personalized and effective treatment strategies. Tight control of HbA1c levels entails individualized targets based on patient characteristics, with an emphasis on personalized treatment strategies that may include lifestyle modifications, oral hypoglycemics, or insulin therapy to optimize glycemic control.
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Affiliation(s)
- Muhammad Zubair
- Otorhinolaryngology, M. Islam Teaching Hospital, Gujranwala, PAK
| | | | - Rehan Aslam
- Internal Medicine, Islamic International Medical College, Rawalpindi, PAK
| | - Hooria Ahmad
- Internal Medicine, National Hospital and Medical Centre, Lahore, PAK
| | - Ayesha Farooq
- Urology, Pakistan Kidney and Liver Institute, Lahore, PAK
| | - Samra Islam
- Medicine, Jinnah Hospital, Lahore, Lahore, PAK
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Scudeler TL, da Costa LMA, Nunes RAB, Schneidewind RO, Brito TM, Pereira DCG, de Oliveira RP, Santana GC, Castello H, de Carvalho Cantarelli MJ, Junior ÁA. Association between low-density lipoprotein cholesterol levels and all-cause mortality in patients with coronary artery disease: a real-world analysis using data from an international network. Sci Rep 2024; 14:29201. [PMID: 39587286 PMCID: PMC11589159 DOI: 10.1038/s41598-024-80578-w] [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: 02/14/2024] [Accepted: 11/19/2024] [Indexed: 11/27/2024] Open
Abstract
The current cholesterol guidelines recommend maintaining low levels of low-density lipoprotein cholesterol (LDL-C) in patients with coronary artery disease (CAD). However, recent studies have suggested that both very low and very high LDL-C levels may be associated with increased mortality in the general population. We utilized data from TriNetX, a global health research network, to investigate the association between LDL-C levels and all-cause mortality in patients with CAD. CAD patients were identified using the International Classification of Diseases, Tenth Revision (ICD-10) diagnosis code and stratified into six LDL-C categories: <50 mg/dL (cohort 1), 50-69.9 mg/dL (cohort 2), 70-99.9 mg/dL (cohort 3), 100-129.9 mg/dL (cohort 4), 130-159.9 mg/dL (cohort 5), and ≥ 160 mg/dL (cohort 6). Mortality data were obtained by linking patient records to death registries spanning the 15 years prior to the analysis. Weighted Cox proportional hazards regression models were employed to estimate hazard ratios (HRs) for mortality outcomes along with their 95% confidence intervals (CIs). A total of 2,145,732 individuals with CAD (mean age 72 years, SD 13; mean LDL-C 87.7 mg/dL, SD 37.7) were included in the analysis. Over a 15-year follow-up period, 191,779 deaths (8.9%) were recorded. After propensity score matching, patients with LDL-C < 50 mg/dL (37.05% vs. 33.11%, HR 1.144, 95% CI 1.125-1.164, p < 0.0001), LDL-C 130-159.9 mg/dL (26.47% vs. 25.71%, HR 1.032, 95% CI 1.007-1.059, p = 0.0136), and LDL-C ≥ 160 mg/dL (26.29% vs. 24.38%, HR 1.121, 95% CI 1.082-1.163, p < 0.0001) demonstrated a higher risk of all-cause mortality compared to those with LDL-C 100-129.9 mg/dL. Conversely, patients with LDL-C 50-69.9 mg/dL (27.88% vs. 29.68%, HR 0.898, 95% CI 0.883-0.913, p = 0.0002) and LDL-C 70-99.9 mg/dL (26.21% vs. 27.84%, HR 0.908, 95% CI 0.893-0.923, p = 0.0057) exhibited a lower risk of all-cause mortality compared to the reference group (LDL-C 100-129.9 mg/dL). In conclusion, our findings suggest a U-shaped relationship between LDL-C levels and all-cause mortality in patients with CAD, where both very low (< 50 mg/dL) and high (≥ 130 mg/dL) LDL-C levels are associated with increased mortality risk. These results highlight the need for individualized LDL-C targets in managing patients with CAD.
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Affiliation(s)
- Thiago Luis Scudeler
- Department of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil.
- Instituto do Coração (InCor), Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
- Hospital Alemão Oswaldo Cruz, Avenida 13 maio 1815, Bela Vista, São Paulo, 01323-020, Brazil.
| | | | | | | | | | | | | | | | - Helio Castello
- Department of Cardiology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
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Jia H, Zhang W, Jia S, Zhang J, Xu Z, Xu Z, Li Y. Correlation between triglyceride glucose index and coronary plaque: An observational study. Medicine (Baltimore) 2024; 103:e39576. [PMID: 39287294 PMCID: PMC11404926 DOI: 10.1097/md.0000000000039576] [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: 02/19/2024] [Revised: 08/14/2024] [Accepted: 08/15/2024] [Indexed: 09/19/2024] Open
Abstract
The association between the triglyceride-glucose (Tyg) index and coronary plaque in patients with coronary heart disease remains unclear. This study aimed to investigate the relationship between Tyg index and coronary plaque under different levels of blood glucose metabolism. This retrospective study included patients with coronary artery disease who underwent coronary angiography and OCT between January 1, 2023 and January 1, 2024, and ultimately collected 232 coronary plaques. All patients were grouped according to the median Tyg index (T1 group 7.71 ≤ TyG index ≤ 9.13; T2 group 9.14 ≤ TyG index ≤ 10.99). The thickness of plaque fiber cap was measured under OCT, and the plaques were divided into vulnerable plaque and non-vulnerable plaque. The status of glucose metabolism is divided into non-diabetic and diabetic. Baseline data analysis showed that there were significant differences in clinical and biological characteristics between the T1 and T2 groups (P < .05). Logistic regression analysis showed that T2 group was significantly associated with vulnerable plaques compared with T1 group (odds ratio [OR]: 2.638; 95% confidence interval [CI] 1.548-4.494; P < .001). The OR of Tyg index was 2.175 (95% CI 1.409-3.357; P < .001). Receiver operating characteristic showed that the area under ROC curve (AUC) was 0.727 (95% CI 0.663-0.792; P < .001), the best cutoff value was 9.23, the sensitivity was 60%, and the specificity was 81%. In diabetic patients, there was a statistically significant correlation between Tyg index and coronary vulnerable plaque (OR: 3.273; 95% CI 1.240-8.636, P < .05). Triglyceride glucose index is a good predictor of coronary vulnerable plaque.
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Affiliation(s)
- Haiyan Jia
- Department of Cardiology, Cangzhou Central Hospital, Tianjin Medical University, Tianjin, China
- Department of Cardiology, Affiliated Hospital of Hebei University, Baoding, China
| | - Weifeng Zhang
- Department of Cardiology, Cangzhou Central Hospital, Tianjin Medical University, Tianjin, China
- Department of Cardiology, Affiliated Hospital of Hebei University, Baoding, China
| | - Shengqi Jia
- Department of Cardiology, Second Hospital of Hebei Medical University
| | - Jun Zhang
- Department of Cardiology, Cangzhou Central Hospital, Tianjin Medical University, Tianjin, China
| | - Zesheng Xu
- Department of Cardiology, Cangzhou Central Hospital, Tianjin Medical University, Tianjin, China
| | - Zhanwen Xu
- Department of Cardiology, Affiliated Hospital of Hebei University, Baoding, China
| | - Yaqin Li
- Department of Cardiology, Affiliated Hospital of Hebei University, Baoding, China
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Luciani L, Pedrelli M, Parini P. Modification of lipoprotein metabolism and function driving atherogenesis in diabetes. Atherosclerosis 2024; 394:117545. [PMID: 38688749 DOI: 10.1016/j.atherosclerosis.2024.117545] [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: 12/06/2023] [Revised: 03/18/2024] [Accepted: 04/10/2024] [Indexed: 05/02/2024]
Abstract
Type 2 diabetes mellitus (T2DM) is a chronic metabolic disease, characterized by raised blood glucose levels and impaired lipid metabolism resulting from insulin resistance and relative insulin deficiency. In diabetes, the peculiar plasma lipoprotein phenotype, consisting in higher levels of apolipoprotein B-containing lipoproteins, hypertriglyceridemia, low levels of HDL cholesterol, elevated number of small, dense LDL, and increased non-HDL cholesterol, results from an increased synthesis and impaired clearance of triglyceride rich lipoproteins. This condition accelerates the development of the atherosclerotic cardiovascular disease (ASCVD), the most common cause of death in T2DM patients. Here, we review the alteration of structure, functions, and distribution of circulating lipoproteins and the pathophysiological mechanisms that induce these modifications in T2DM. The review analyzes the influence of diabetes-associated metabolic imbalances throughout the entire process of the atherosclerotic plaque formation, from lipoprotein synthesis to potential plaque destabilization. Addressing the different pathophysiological mechanisms, we suggest improved approaches for assessing the risk of adverse cardiovascular events and clinical strategies to reduce cardiovascular risk in T2DM and cardiometabolic diseases.
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Affiliation(s)
- Lorenzo Luciani
- Cardio Metabolic Unit, Department of Laboratory Medicine, and Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden; Interdisciplinary Center for Health Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Matteo Pedrelli
- Cardio Metabolic Unit, Department of Laboratory Medicine, and Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden; Medicine Unit of Endocrinology, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Paolo Parini
- Cardio Metabolic Unit, Department of Laboratory Medicine, and Department of Medicine at Huddinge, Karolinska Institutet, Stockholm, Sweden; Medicine Unit of Endocrinology, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden.
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Jin Q, Lau ESH, Luk AO, Tam CHT, Ozaki R, Lim CKP, Wu H, Chow EYK, Kong APS, Lee HM, Fan B, Ng ACW, Jiang G, Lee KF, Siu SC, Hui G, Tsang CC, Lau KP, Leung JY, Tsang MW, Cheung EYN, Kam G, Lau IT, Li JK, Yeung VTF, Lau E, Lo S, Fung S, Cheng YL, Chow CC, Yu W, Tsui SKW, Tomlinson B, Huang Y, Lan HY, Szeto CC, So WY, Jenkins AJ, Fung E, Muilwijk M, Blom MT, 't Hart LM, Chan JCN, Ma RCW. Circulating metabolomic markers linking diabetic kidney disease and incident cardiovascular disease in type 2 diabetes: analyses from the Hong Kong Diabetes Biobank. Diabetologia 2024; 67:837-849. [PMID: 38413437 PMCID: PMC10954952 DOI: 10.1007/s00125-024-06108-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/03/2024] [Indexed: 02/29/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to describe the metabolome in diabetic kidney disease (DKD) and its association with incident CVD in type 2 diabetes, and identify prognostic biomarkers. METHODS From a prospective cohort of individuals with type 2 diabetes, baseline sera (N=1991) were quantified for 170 metabolites using NMR spectroscopy with median 5.2 years of follow-up. Associations of chronic kidney disease (CKD, eGFR<60 ml/min per 1.73 m2) or severely increased albuminuria with each metabolite were examined using linear regression, adjusted for confounders and multiplicity. Associations between DKD (CKD or severely increased albuminuria)-related metabolites and incident CVD were examined using Cox regressions. Metabolomic biomarkers were identified and assessed for CVD prediction and replicated in two independent cohorts. RESULTS At false discovery rate (FDR)<0.05, 156 metabolites were associated with DKD (151 for CKD and 128 for severely increased albuminuria), including apolipoprotein B-containing lipoproteins, HDL, fatty acids, phenylalanine, tyrosine, albumin and glycoprotein acetyls. Over 5.2 years of follow-up, 75 metabolites were associated with incident CVD at FDR<0.05. A model comprising age, sex and three metabolites (albumin, triglycerides in large HDL and phospholipids in small LDL) performed comparably to conventional risk factors (C statistic 0.765 vs 0.762, p=0.893) and adding the three metabolites further improved CVD prediction (C statistic from 0.762 to 0.797, p=0.014) and improved discrimination and reclassification. The 3-metabolite score was validated in independent Chinese and Dutch cohorts. CONCLUSIONS/INTERPRETATION Altered metabolomic signatures in DKD are associated with incident CVD and improve CVD risk stratification.
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Affiliation(s)
- Qiao Jin
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Risa Ozaki
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Elaine Y K Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Heung Man Lee
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Alex C W Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Guozhi Jiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Ka Fai Lee
- Department of Medicine and Geriatrics, Kwong Wah Hospital, Hong Kong, China
| | - Shing Chung Siu
- Diabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China
| | - Grace Hui
- Diabetes Centre, Tung Wah Eastern Hospital, Hong Kong, China
| | - Chiu Chi Tsang
- Diabetes and Education Centre, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China
| | | | - Jenny Y Leung
- Department of Medicine and Geriatrics, Ruttonjee Hospital, Hong Kong, China
| | - Man-Wo Tsang
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Elaine Y N Cheung
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Grace Kam
- Department of Medicine and Geriatrics, United Christian Hospital, Hong Kong, China
| | - Ip Tim Lau
- Tseung Kwan O Hospital, Hong Kong, China
| | - June K Li
- Department of Medicine, Yan Chai Hospital, Hong Kong, China
| | - Vincent T F Yeung
- Centre for Diabetes Education and Management, Our Lady of Maryknoll Hospital, Hong Kong, China
| | - Emmy Lau
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China
| | - Stanley Lo
- Department of Medicine, Pamela Youde Nethersole Eastern Hospital, Hong Kong, China
| | - Samuel Fung
- Department of Medicine and Geriatrics, Princess Margaret Hospital, Hong Kong, China
| | - Yuk Lun Cheng
- Department of Medicine, Alice Ho Miu Ling Nethersole Hospital, Hong Kong, China
| | - Chun Chung Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
| | - Weichuan Yu
- Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China
| | - Stephen K W Tsui
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
| | - Yu Huang
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Hui-Yao Lan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Cheuk Chun Szeto
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Alicia J Jenkins
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, NSW, Australia
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Erik Fung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Mirthe Muilwijk
- Department of Epidemiology and Data Science, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
| | - Marieke T Blom
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
- Department of General Practice, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Leen M 't Hart
- Department of Epidemiology and Data Science, Amsterdam UMC - Location Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Health Behaviors & Chronic Diseases Research Program, Amsterdam Public Health, Amsterdam UMC, Amsterdam, the Netherlands
- Department of Biomedical Data Sciences, Section Molecular Epidemiology, Leiden University Medical Centre, Leiden, the Netherlands
- Department of Cell and Chemical Biology, Leiden University Medical Centre, Leiden, the Netherlands
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China.
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
- CUHK-SJTU Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.
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1-2 Drinks Per Day Affect Lipoprotein Composition after 3 Weeks-Results from a Cross-Over Pilot Intervention Trial in Healthy Adults Using Nuclear Magnetic Resonance-Measured Lipoproteins and Apolipoproteins. Nutrients 2022; 14:nu14235043. [PMID: 36501072 PMCID: PMC9735490 DOI: 10.3390/nu14235043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Revised: 11/07/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022] Open
Abstract
Alcohol consumption ranging from 1−2 drinks/day associates with a lower risk of coronary heart disease in some studies. The underlying mechanisms are unclear. The Metabolic Imprints of Alcoholic Beverages (MetAl) trial aimed to explore the short-term effects of moderate alcohol consumption on cardiovascular biomarkers. A 2 × 3-week cross-over single-blinded intervention trial investigating the effect of 1−2 drinks/day (~12−24 g) compared with abstention on 1H Nuclear Magnetic Resonance-measured main lipoproteins and subfractions was performed in 26 healthy adults. Volunteers were classified as occasional or habitual drinkers based on their habitual alcohol intakes (<2 or ≥2 drinks/week). Compared with abstention, 1−2 drinks/day increased HDL2a-C (p = 0.004), HDL3-C (p = 0.008), and HDL non-significantly (p = 0.19). Total apoA1 and apoA1 in HDL and its subfractions increased (p < 0.05). Novel findings were a decreased apoB/apoA1 ratio (p = 0.02), and increased HDL2a phospholipid content (p = 0.04). In women alone, the results were similar but attenuated, and LDL-P decreased. Thus, changes in apoA1- and HDL-related biomarkers occur within weeks in moderate drinkers. Compared with abstention, 1−2 drinks/day increased total apoA1 more strongly than HDL-C and increased the cholesterol, apoA1, and phospholipid content of several HDL subfractions. Whether this provides a cardiovascular benefit requires further study. Clinicaltrials.gov: NCT03384147.
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Lyu TJ, Zhang ZX, Chen J, Liu ZJ. Ginsenoside Rg1 ameliorates apoptosis, senescence and oxidative stress in ox‑LDL‑induced vascular endothelial cells via the AMPK/SIRT3/p53 signaling pathway. Exp Ther Med 2022; 24:545. [PMID: 35978936 PMCID: PMC9366316 DOI: 10.3892/etm.2022.11482] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/17/2022] [Indexed: 11/26/2022] Open
Abstract
Coronary heart disease (CHD) mainly refers to coronary atherosclerotic heart disease and its pathogenesis is complex. Ginsenoside Rg1 (Rg1) has a wide range of pharmacological activities, such as antitumor effects, enhancing immunity and exerting protective effects on the vascular system. In the present study, the effect of Rg1 on vascular endothelial cells in CHD was investigated. Oxidized low-density lipoprotein (ox-LDL) was used to induce human umbilical vein endothelial cells (HUVECs) and cells were treated with 1, 5 or 10 µM Rg1. Cell Counting Kit-8 assay, TUNEL staining, western blot analysis of apoptosis-related proteins and senescence-related proteins, senescence-associated β-galactosidase staining, ELISA and other techniques including related kits of oxidative stress markers were used to detect the viability, apoptosis, oxidative stress, inflammatory cytokines including IL-1β, IL-6 and TNF-α and senescence of ox-LDL-induced HUVECs induced by Rg1. Western blot analysis was used to detect the expression levels of the AMP-activated protein kinase (AMPK)/sirtuin 3 (SIRT3)/p53 signaling pathway-related proteins. In addition, the associated mechanism was further determined using the AMPK pathway inhibitor compound C (CC). Rg1 increased the viability, and inhibited the apoptosis, senescence, oxidative stress and inflammation of ox-LDL-induced HUVECs. Pretreatment with CC partially reversed the protective effect of Rg1 on ox-LDL-induced HUVECs. In conclusion, Rg1 ameliorated apoptosis, senescence and oxidative stress of ox-LDL-induced HUVECs, at least in part, via the AMPK/SIRT3/p53 signaling pathway.
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Affiliation(s)
- Tian-Jiao Lyu
- Department of Cardiology, Putuo Center Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200062, P.R. China
| | - Zi-Xiu Zhang
- Department of Cardiology, Yangpu Hospital of Traditional Chinese Medicine, Shanghai 200090, P.R. China
| | - Jun Chen
- Department of Cardiology, Yangpu Hospital of Traditional Chinese Medicine, Shanghai 200090, P.R. China
| | - Zong-Jun Liu
- Department of Cardiology, Putuo Center Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200062, P.R. China
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Su J, Li Z, Huang M, Wang Y, Yang T, Ma M, Ni T, Pan G, Lai Z, Li C, Li L, Yu C. Triglyceride glucose index for the detection of the severity of coronary artery disease in different glucose metabolic states in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol 2022; 21:96. [PMID: 35668496 PMCID: PMC9169264 DOI: 10.1186/s12933-022-01523-7] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/07/2022] [Indexed: 12/25/2022] Open
Abstract
Abstract
Background
Triglyceride glucose (TyG) index is a new marker associated with atherosclerosis. This study aimed to assess the association between TyG index and the severity of coronary artery disease (CAD) in patients with coronary heart disease (CHD) and further explore the association between TyG index and CAD severity in different glucose metabolic states.
Methods
This multi-centre retrospective study included 731 patients with CHD between January 1, 2014 and September 30, 2020 in China. All patients were stratified into groups based on the tertiles of TyG index (T1: 5.48 ≤ TyG index ≤ 7.17; T2: 7.18 ≤ TyG index ≤ 7.76; T3: 7.77 ≤ TyG index ≤ 10.82). The number of diseased vessels [single-vessel and multi-vessel CAD (≥ 50% stenosis in ≥ 2 large vessels)] represented the severity of CAD, which was measured using coronary angiography (CAG). Glucose metabolic states were defined by the American Diabetes Association as normal glucose regulation (NGR), prediabetes mellitus (Pre-DM), and diabetes mellitus (DM).
Results
The baseline analysis results showed significant differences in the clinical and biological characteristics of CHD patients according to TyG index tertiles (P < 0.05 to < 0.001). Logistic regression analysis showed that the TyG index was significantly related to the risk of multi-vessel CAD (odds ratio [OR]: 1.715; 95% confidence interval [CI] 1.339–2.197; P < 0.001). The OR for multi-vessel CAD in TyG index T3 compared to that of T1 was 2.280 (95% CI 1.530–3.398; P < 0.001). Receiver operating characteristic (ROC) curve was generated to evaluate the accuracy of the TyG index in detecting the CAD severity, and the area under the curve (AUC) of the ROC plots was 0.601 (95% CI 0.559–0.643). The association between TyG index and multi-vessel CAD was significant in patients with DM, achieving the highest OR among the different glucose metabolic states (OR: 1.717; 95% CI 1.161–2.539; P < 0.05).
Conclusion
TyG index was associated with CAD severity in patients with CHD, and an increased TyG index could identify patients with a high risk of multi-vessel CAD. There was an association between TyG index and CAD severity for the condition of DM.
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9
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Hirano T, Kodera R, Hirashima T, Suzuki N, Aoki E, Hosoya M, Oshima T, Hayashi T, Koba S, Ohta M, Satoh N, Ito Y. Metabolic Properties of Lowdensity Lipoprotein (LDL) Triglycerides in Patients with Type 2 Diabetes, Comparison with Small Dense LDL-Cholesterol. J Atheroscler Thromb 2022; 29:762-774. [PMID: 33952832 PMCID: PMC9135668 DOI: 10.5551/jat.62789] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 03/15/2021] [Indexed: 11/11/2022] Open
Abstract
AIMS Abnormal compositional changes in low-density lipoprotein (LDL) particles, such as triglyceride (TG) enrichment and size reduction, are common in patients with diabetes. Several cohort studies have demonstrated that LDL-TG and sdLDL-cholesterol (C) are sensitive biomarkers for predicting atherosclerotic cardiovascular diseases beyond LDL-C. Although sdLDL has been extensively studied, little is known about the properties of LDL-TG. We investigated similarities or differences between LDL-TG and sdLDL-C. METHODS Fasting plasma was obtained from 1,085 patients with type 2 diabetes who were enrolled in the diabetes regional cohort study (ViNA Cohort). LDL-TG and sdLDL-C concentrations were measured using a homogeneous assay established by us. In a subset of subjects, LDL-TG and sdLDL-C levels were measured postprandially or after treatment with lipid-lowering drugs. RESULTS In a quartile analysis, higher LDL-TG quartiles were associated with higher frequency of female and fibrate users, whereas sdLDL-C quartiles were associated with frequency of men, drinking, and metabolic syndrome-related measurements. Higher quartiles of LDL-TG/LDL-C were associated with smoking, drinking, fibrate users, and statin users. LDL-TG was significantly correlated with TG, LDL-C, sdLDL-C, and apolipoprotein (apo) B, with apoB being the primary determinant. LDL-TG correlated to high sensitive C-reactive protein (CRP) independently of other lipids. Mean LDL-TG did not change with fasting/non-fasting. Statin treatment reduced LDL-TG, whereas fibrates increased it, but these drugs reduced sdLDL-C equally. CONCLUSIONS LDL-TG levels were more tightly regulated by the number of LDL particles than plasma TG levels were. SdLDL-C was closely associated with metabolic syndrome-related factors, whereas LDL-TG was associated with low-grade systemic inflammation.
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Affiliation(s)
- Tsutomu Hirano
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | - Rieko Kodera
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | | | - Natsuko Suzuki
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | - Ema Aoki
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | - Mitsuru Hosoya
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | - Taito Oshima
- Diabetes Center, Ebina General Hospital, Kanagawa, Japan
| | | | - Shinji Koba
- Division of Comprehensive Internal Medicine, Department of Perioperative Medicine, Showa University School of Dentistry, Tokyo, Japan
| | - Motoko Ohta
- R&D Department, Denka Co., Ltd., Niigata, Japan
| | | | - Yasuki Ito
- R&D Department, Denka Co., Ltd., Niigata, Japan
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10
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Hussain A, Sun C, Selvin E, Nambi V, Coresh J, Jia X, Ballantyne CM, Hoogeveen RC. Triglyceride-rich lipoproteins, apolipoprotein C-III, angiopoietin-like protein 3, and cardiovascular events in older adults: Atherosclerosis Risk in Communities (ARIC) study. Eur J Prev Cardiol 2022; 29:e53-e64. [PMID: 33580780 PMCID: PMC8277878 DOI: 10.1093/eurjpc/zwaa152] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/03/2020] [Accepted: 12/08/2020] [Indexed: 12/14/2022]
Abstract
AIMS Despite statin and antihypertensive therapies, older Americans have high atherosclerotic cardiovascular disease (ASCVD) risk. Novel measures of triglyceride-rich lipoproteins, low-density lipoprotein triglycerides (LDL-TG), and remnant-like particle cholesterol (RLP-C), are associated with ASCVD in middle-aged adults. Polymorphisms in genes encoding angiopoietin-related protein 3 (ANGPTL3) and apolipoprotein C-III (apoC-III), two proteins involved in triglyceride catabolism, are associated with increased risk for hypertriglyceridaemia and ASCVD and are potential therapeutic targets. We examined associations of LDL-TG, RLP-C, apoC-III, and ANGPTL3 levels with ASCVD events in older adults in the Atherosclerosis Risk in Communities (ARIC) study. METHODS AND RESULTS In 6359 participants (mean age 75.8 ± 5.3 years) followed for ASCVD events [coronary heart disease (CHD) or ischaemic stroke] up to 6 years, associations between LDL-TG, RLP-C, apoC-III, and ANGPTL3 and ASCVD events were assessed using Cox regression. With adjustment for age, sex, and race, RLP-C, LDL-TG, apoC-III, and ANGPTL3 (as continuous variables) were significantly associated with CHD. However, after adjustment for traditional risk factors and lipid-lowering medications, only LDL-TG and ANGPTL3 were significantly associated with ASCVD events [hazard ratio (HR) 1.72, 95% confidence interval (CI) 1.25-2.37 per log unit increase in LDL-TG; HR 1.63, 95% CI 1.17-2.28 per log unit increase in ANGPTL3]. CONCLUSIONS In older adults, LDL-TG, RLP-C, apoC-III, and ANGPTL3 were associated with CHD events in minimally adjusted models; LDL-TG and ANGPTL3 remained independent predictors of ASCVD events with further adjustment. Future studies should assess potential benefit of lowering hepatic apoC-III or ANGPTL3 expression in patients with elevated triglyceride-rich lipoproteins.
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Affiliation(s)
- Aliza Hussain
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Department of Medicine, Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
| | - Caroline Sun
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Department of Medicine, Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
| | - Elizabeth Selvin
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, 2024 East Monument Street, Baltimore, Maryland (MD), 21287, Baltimore, MD, USA
| | - Vijay Nambi
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Department of Medicine, Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, 2002 Holcombe Boulevard, Houston, Texas (TX), 77030, USA
| | - Josef Coresh
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, 2024 East Monument Street, Baltimore, Maryland (MD), 21287, Baltimore, MD, USA
| | - Xiaoming Jia
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Department of Medicine, Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
| | - Ron C Hoogeveen
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
- Department of Medicine, Center for Cardiometabolic Disease Prevention, Baylor College of Medicine, 6565 Fannin Street, MS F701, Houston, TX 77030, USA
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11
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Ma S, Xia M, Gao X. Biomarker Discovery in Atherosclerotic Diseases Using Quantitative Nuclear Magnetic Resonance Metabolomics. Front Cardiovasc Med 2021; 8:681444. [PMID: 34395555 PMCID: PMC8356911 DOI: 10.3389/fcvm.2021.681444] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 07/02/2021] [Indexed: 12/23/2022] Open
Abstract
Despite great progress in the management of atherosclerosis (AS), its subsequent cardiovascular disease (CVD) remains the leading cause of morbidity and mortality. This is probably due to insufficient risk detection using routine lipid testing; thus, there is a need for more effective approaches relying on new biomarkers. Quantitative nuclear magnetic resonance (qNMR) metabolomics is able to phenotype holistic metabolic changes, with a unique advantage in regard to quantifying lipid-protein complexes. The rapidly increasing literature has indicated that qNMR-based lipoprotein particle number, particle size, lipid components, and some molecular metabolites can provide deeper insight into atherogenic diseases and could serve as novel promising determinants. Therefore, this article aims to offer an updated review of the qNMR biomarkers of AS and CVD found in epidemiological studies, with a special emphasis on lipoprotein-related parameters. As more researches are performed, we can envision more qNMR metabolite biomarkers being successfully translated into daily clinical practice to enhance the prevention, detection and intervention of atherosclerotic diseases.
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Affiliation(s)
- Shuai Ma
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
- Human Phenome Institute, Fudan University, Shanghai, China
| | - Mingfeng Xia
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
| | - Xin Gao
- Department of Endocrinology and Metabolism, Zhongshan Hospital, Fudan University, Shanghai, China
- Fudan Institute for Metabolic Diseases, Shanghai, China
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12
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Yuan D, Jiang P, Zhu P, Jia S, Zhang C, Liu Y, Liu R, Xu J, Tang X, Zhao X, Gao R, Yang Y, Xu B, Gao Z, Yuan J. Prognostic value of fibrinogen in patients with coronary artery disease and prediabetes or diabetes following percutaneous coronary intervention: 5-year findings from a large cohort study. Cardiovasc Diabetol 2021; 20:143. [PMID: 34271936 PMCID: PMC8283976 DOI: 10.1186/s12933-021-01335-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Accepted: 07/05/2021] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Fibrinogen (FIB) is an independent risk factor for mortality and cardiovascular events in the general population. However, the relationship between FIB and long-term mortality among CAD patients undergoing PCI remains unclear, especially in individuals complicated with diabetes mellitus (DM) or prediabetes (Pre-DM). METHODS 6,140 patients with CAD undergoing PCI were included in the study and subsequently divided into three groups according to FIB levels (FIB-L, FIB-M, FIB-H). These patients were further grouped by glycemic status [normoglycemia (NG), Pre-DM, DM]. The primary endpoint was all-cause mortality. The secondary endpoint was cardiac mortality. RESULTS FIB was positively associated with hemoglobin A1c (HbA1c) and fasting blood glucose (FBG) in CAD patients with and without DM (P < 0.001). During a median follow-up of 5.1 years (interquartile range 5.0-5.2 years), elevated FIB was significantly associated with long-term all-cause mortality (adjusted HR: 1.86; 95% CI 1.28-2.69; P = 0.001) and cardiac mortality (adjusted HR: 1.82; 95% CI 1.15-2.89; P = 0.011). Similarly, patients with DM, but not Pre-DM, had increased risk of all-cause and cardiac mortality compared with NG group (all P < 0.05). When grouped by both FIB levels and glycemic status, diabetic patients with medium and high FIB levels had higher risk of mortality [(adjusted HR: 2.57; 95% CI 1.12-5.89), (adjusted HR: 3.04; 95% CI 1.35-6.82), all P < 0.05]. Notably, prediabetic patients with high FIB also had higher mortality risk (adjusted HR: 2.27; 95% CI 1.01-5.12). CONCLUSIONS FIB was independently associated with long-term all-cause and cardiac mortality among CAD patients undergoing PCI, especially in those with DM and Pre-DM. FIB test may help to identify high-risk individuals in this specific population.
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Affiliation(s)
- Deshan Yuan
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Ping Jiang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Pei Zhu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Sida Jia
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Ce Zhang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yue Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Ru Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jingjing Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xiaofang Tang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Xueyan Zhao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Runlin Gao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Yuejin Yang
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Bo Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Zhan Gao
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China
| | - Jinqing Yuan
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, No 167, Beilishi Road, Xicheng District, Beijing, 100037, China.
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13
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Servadei F, Anemona L, Cardellini M, Scimeca M, Montanaro M, Rovella V, Di Daniele F, Giacobbi E, Legramante IM, Noce A, Bonfiglio R, Borboni P, Di Daniele N, Ippoliti A, Federici M, Mauriello A. The risk of carotid plaque instability in patients with metabolic syndrome is higher in women with hypertriglyceridemia. Cardiovasc Diabetol 2021; 20:98. [PMID: 33957931 PMCID: PMC8103747 DOI: 10.1186/s12933-021-01277-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/15/2021] [Indexed: 12/24/2022] Open
Abstract
Background Metabolic syndrome certainly favors growth of carotid plaque; however, it is uncertain if it determines plaque destabilization. Furthermore, it is likely that only some components of metabolic syndrome are associated with increased risk of plaque destabilization. Therefore, we evaluated the effect of different elements of metabolic syndrome, individually and in association, on carotid plaques destabilization. Methods A total of 186 carotid endarterectomies from symptomatic and asymptomatic patients were histologically analysed and correlated with major cardiovascular risk factors. Results Metabolic syndrome, regardless of the cluster of its components, is not associated with a significant increase in risk of plaque destabilization, rather with the presence of stable plaques. The incidence of unstable plaques in patients with metabolic syndrome is quite low (43.9 %), when compared with that seen in the presence of some risk factors, but significantly increases in the subgroup of female patients with hypertriglyceridemia, showing an odds ratio of 3.01 (95% CI, 0.25–36.30). Conclusions Our data may help to identify patients with real increased risk of acute cerebrovascular diseases thus supporting the hypothesis that the control of hypertriglyceridemia should be a key point on prevention of carotid atherosclerotic plaque destabilization, especially in post-menopausal female patients.
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Affiliation(s)
- Francesca Servadei
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Lucia Anemona
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Marina Cardellini
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Manuel Scimeca
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy.,San Raffaele University, Via di Val Cannuta 247, 00166, Rome, Italy.,Saint Camillus International University of Health Sciences, Via di Sant'Alessandro, 8, 00131, Rome, Italy
| | - Manuela Montanaro
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | - Valentina Rovella
- UOC of Internal Medicine, Center of Hypertension, University of Rome Tor Vergata, Rome, Italy
| | - Francesca Di Daniele
- PhD School of Applied Medical, Surgical Sciences, University of Rome Tor Vergata, Rome, Italy
| | - Erica Giacobbi
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy
| | | | - Annalisa Noce
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Rita Bonfiglio
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy.,Fondazione Umberto Veronesi (FUV), Piazza Velasca 5, MI, 20122, Milano, Italy
| | - Patrizia Borboni
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Nicola Di Daniele
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Arnaldo Ippoliti
- Vascular Surgery, Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy
| | - Massimo Federici
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Alessandro Mauriello
- Anatomic Pathology, Department of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, RM, 00133, Italy. .,Tor Vergata Oncoscience Research (TOR), University of Rome "Tor Vergata", Rome, Italy.
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