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Yuan Y, Shi J, Sun W, Kong X. The positive association between the atherogenic index of plasma and the risk of new-onset hypertension: a nationwide cohort study in China. Clin Exp Hypertens 2024; 46:2303999. [PMID: 38264971 DOI: 10.1080/10641963.2024.2303999] [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: 08/24/2023] [Accepted: 01/03/2024] [Indexed: 01/25/2024]
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is a novel metabolic biomarker of atherosclerosis. Nevertheless, the association between the AIP and new-onset hypertension has not been elucidated in the Chinese population. METHODS Prospective data were obtained from 3150 participants aged ≥ 18 years in the China Health and Nutrition Survey from 2009 to 2015. The AIP is a logarithmically transformed ratio of triglycerides to high-density lipoprotein cholesterol in molar concentration. Cox regression analysis was used to determine the association of AIP index with new-onset hypertension. RESULTS After the six-year follow-up, 1054 (33.4%) participants developed new-onset hypertension. The participants were divided into AIP quartile groups (Q1-Q4). Compared with those in Q1, subjects in Q3-4 had nearly 1.35 times the risk of new-onset hypertension after full adjustment [Q3: hazard ratio (HR): 1.35, 95% confidence interval (CI): 1.13-1.62; Q4: HR: 1.35, 95% CI: 1.13-1.64]. The risks of new-onset hypertension were nearly 1.30 times higher in subjects in Q2-4 than in subjects in Q1 (p < .01) after the full adjustment when we excluded subjects with diabetes and/or chronic kidney diseases. There was a significant difference [HR (CI): 1.27 (1.04-1.54) vs. 0.90 (0.69-1.18)] when subjects were divided into two groups according to body mass index (BMI) level (<24 vs. ≥24 kg/m2). CONCLUSIONS The present study suggested that individuals with a higher AIP index are associated with new-onset hypertension, independent of kidney function and glucose levels. The association was stronger in subjects with normal BMI, which may provide early screening of metabolomics in hypertension prevention.
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Affiliation(s)
- Yue Yuan
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
- Department of Cardiology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Jing Shi
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
- Department of Cardiology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Wei Sun
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
- Department of Cardiology, Nanjing Medical University, Nanjing, People's Republic of China
| | - Xiangqing Kong
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China
- Department of Cardiology, Nanjing Medical University, Nanjing, People's Republic of China
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Chen T, Qian Y, Deng X. Relationship between atherosclerotic burden and depressive symptoms in hypertensive patients: A cross-sectional study based on the NHANES database. J Affect Disord 2024; 361:612-619. [PMID: 38925305 DOI: 10.1016/j.jad.2024.06.087] [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: 02/23/2024] [Revised: 05/31/2024] [Accepted: 06/22/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVE The relationship between atherosclerotic burden, depressive symptoms, and clinically relevant depression (CRD) in hypertensive patients is unclear. In this study, we used the atherosclerotic index of plasma (AIP) to quantify atherosclerotic burden and explore its association with depressive symptoms and CRD in hypertensive patients. METHODS Hypertension-diagnosed patients were extracted from the National Health and Nutrition Examination Survey (NHANES) database. The relationships between AIP and depressive symptoms and CRD risk in patients were examined through the weighted logistic regression and the weighted linear regression models. Restrictive cubic spline curves were employed to analyze potential nonlinear associations between AIP and outcome indicators. Additionally, subgroup analyses and intergroup interaction tests were conducted. RESULTS The AIP was considerably associated with the severity of depressive symptoms in hypertensive patients, according to the findings of weighted linear regression. Weighted logistic regression analysis showed that high AIP was significantly associated with a high risk of clinically relevant depression in hypertensive patients. This trend was consistent across various subgroups within the population. CONCLUSION AIP was observed to be a significant risk factor for clinically relevant depression in hypertensive patients. Atherosclerotic burden in hypertensive patients was significantly associated with the severity of their depressive symptoms.
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Affiliation(s)
- Ting Chen
- Department of Neurosurgery, Kunming Medical University First Affiliated Hospital, Kunming, Yunnan 650032, China.
| | - Yuan Qian
- The Affiliated Hospital of Yunnan University (The Second People's Hospital of Yunnan Province), Kunming, Yunnan 650000, China.
| | - Xingli Deng
- Department of Neurosurgery, Kunming Medical University First Affiliated Hospital, Kunming, Yunnan 650032, China; Yunnan Provincial Clinical Research Center for Neurological Disease, Kunming, Yunnan, 650032, China.
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Zhang H, Zhang G, Fu J. Exploring the L-shaped relationship between Atherogenic Index of Plasma and depression: Results from NHANES 2005-2018. J Affect Disord 2024; 359:133-139. [PMID: 38768824 DOI: 10.1016/j.jad.2024.05.073] [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: 03/22/2024] [Revised: 05/10/2024] [Accepted: 05/17/2024] [Indexed: 05/22/2024]
Abstract
BACKGROUND The Atherogenic Index of Plasma (AIP) is a novel metric linked to several diseases. However, there is inadequate evidence to investigate the relationship between AIP and depression. Therefore, we aim to elucidate the non-linear association between AIP and depression. METHODS 12,453 participants from the National Health and Nutrition Examination Survey (NHANES) 2005-2018 were included. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The Patient Health Questionnaire (PHQ-9) was used to identify depression (PHQ-9 ≥ 10). Weighted multivariate logistic regression, restricted cubic splines (RCS) models, subgroup analysis, and interaction tests were employed to reveal the relationship between AIP and depression. RESULTS AIP was found to be significantly correlated with depression. In the fully adjusted model, elevated AIP levels were associated with higher odds of depression (odds ratio [OR] = 1.50; 95 % CI: 1.06-2.12). The RCS analysis indicated an L-shaped pattern in the relationship between depression and AIP, with inflection points at -0.289. Beyond this inflection point, individuals with elevated AIP levels were associated with higher odds of depression (OR = 2.25; 95 % CI: 1.49-3.39). Notably, the association was particularly pronounced among individuals with diabetes. LIMITATION This cross-sectional study is unable to establish causal relationships. CONCLUSION There was an L-shaped association between AIP and depression among US adults. AIP has the potential value as a biological marker for depression, and maintaining AIP values below a certain threshold may help in managing depression.
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Affiliation(s)
- Haokun Zhang
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, PR China; School of Public Health and Health Management, Gannan Medical University, Ganzhou 341000, PR China
| | - Genshan Zhang
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, PR China
| | - Jie Fu
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, PR China.
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Zhang J, Suo Y, Wang L, Liu D, Jia Y, Fu Y, Fan W, Jiang Y. Association between atherogenic index of plasma and gestational diabetes mellitus: a prospective cohort study based on the Korean population. Cardiovasc Diabetol 2024; 23:237. [PMID: 38970008 PMCID: PMC11227226 DOI: 10.1186/s12933-024-02341-9] [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: 05/14/2024] [Accepted: 06/26/2024] [Indexed: 07/07/2024] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP's predictive capability for GDM. METHODS This was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM. RESULTS The average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM (P for non-linearity: 0.801, OR 1.58, 95% CI 1.27-1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087-0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557. CONCLUSIONS This study revealed that the AIP at 10-14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies. TRIAL REGISTRATION ClinicalTrials.gov registration no. NCT02276144.
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Affiliation(s)
- Juan Zhang
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China
- General Hospital of Ningxia Medical University, Yinchuan, China
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China
| | - Yaoyu Suo
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China
- General Hospital of Ningxia Medical University, Yinchuan, China
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China
| | - Li Wang
- General Hospital of Ningxia Medical University, Yinchuan, China
| | - Dong Liu
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China
- General Hospital of Ningxia Medical University, Yinchuan, China
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China
| | - Yue Jia
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China
| | - Yajuan Fu
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China.
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China.
| | - Weining Fan
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China.
- General Hospital of Ningxia Medical University, Yinchuan, China.
| | - Yideng Jiang
- School of Basic Medicine, Ningxia Medical University, Yinchuan, China.
- National Health Commission Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, China.
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Abdu FA, Alifu J, Mohammed AQ, Liu L, Zhang W, Yin G, Lv X, Mohammed AA, Mareai RM, Xu Y, Che W. The correlation of atherogenic index of plasma with non-obstructive CAD and unfavorable prognosis among patients diagnosed with MINOCA. Eur J Intern Med 2024; 125:111-119. [PMID: 38538418 DOI: 10.1016/j.ejim.2024.03.024] [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: 11/05/2023] [Revised: 03/16/2024] [Accepted: 03/21/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is linked to lipid metabolism and has shown considerable prognostic value in cardiovascular disorders. However, its role in myocardial infarction with non-obstructive coronary arteries (MINOCA) has not been investigated. We assessed the relationship between AIP, the severity of coronary stenosis, and prognosis in MINOCA. METHODS We included consecutive patients who were diagnosed with MINOCA. AIP was calculated using the base 10 logarithm of the ratio between the levels of TG and HDL-C. The patients were divided into four groups based on their AIP quartiles: Q1 (AIP<-0.145), Q2 (AIP≥-0.145and≤0.049), Q3 (AIP>0.049and≤0.253), and Q4 (AIP>0.253). All patients underwent follow-up for MACE. RESULTS The final analysis included 421 patients, with 188 having normal coronaries (0 stenosis) and 233 exhibiting non-obstructive coronary artery disease (CAD) (<50 % stenosis). In the multivariate logistic analysis, highest AIP (Q4) group was significantly associated with increased risk of non-obstructive CAD in MINOCA (OR,1.994;95 % CI:1.075-3.698; P = 0.029). During the follow-up period, MACE occurred in 22.8 % of MINOCA patients. Q4 group exhibited a significantly higher rate of MACE (P = 0.021). Furthermore, when both AIP and coronary stenosis status were considered, the results revealed individuals in the Q4 group with non-obstructive CAD had the highest risk of MACE (log-rank P = 0.027). The adjusted Cox analysis indicated that the Q4 group was associated with a 2.052-fold increase in the HR of MACE. CONCLUSION AIP exhibits a notable association with the incidence of MACE in MINOCA patients and serves as a substantial marker for non-obstructive CAD in this patient group.
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Affiliation(s)
- Fuad A Abdu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jiasuer Alifu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Abdul-Quddus Mohammed
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lu Liu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wen Zhang
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Guoqing Yin
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xian Lv
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ayman A Mohammed
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Redhwan M Mareai
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yawei Xu
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Wenliang Che
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China; Department of Cardiology, Shanghai Tenth People's Hospital Chongming branch, Shanghai, China.
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Zhao J, Mei Y, Li A, Zhou Q, Zhao M, Xu J, Li Y, Li K, Yang M, Xu Q. Association between PM 2.5 constituents and cardiometabolic risk factors: Exploring individual and combined effects, and mediating inflammation. CHEMOSPHERE 2024; 359:142251. [PMID: 38710413 DOI: 10.1016/j.chemosphere.2024.142251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/17/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
BACKGROUND The individual and combined effects of PM2.5 constituents on cardiometabolic risk factors are sparsely investigated. Besides, the key cardiometabolic risk factor that PM2.5 constituents targeted and the biological mechanisms remain unclear. METHOD A multistage, stratified cluster sampling survey was conducted in two typically air-polluted Chinese cities. The PM2.5 and its constituents including sulfate, nitrate, ammonium, organic matter, and black carbon were predicted using a machine learning model. Twenty biomarkers in three category were simultaneously adopted as cardiometabolic risk factors. We explored the individual and mixture association of long-term PM2.5 constituents with these markers using generalized additive model and quantile-based g-computation, respectively. To minimize potential confounding effects, we accounted for covariates including demographic, lifestyle, meteorological, temporal trends, and disease-related information. We further used ROC curve and mediation analysis to identify the key subclinical indicators and explore whether inflammatory mediators mediate such association, respectively. RESULT PM2.5 constituents was positively correlated with HOMA-B, TC, TG, LDL-C and LCI, and negatively correlated with PP and RC. Further, PM2.5 constituent mixture was positive associated with DBP, MAP, HbA1c, HOMA-B, AC, CRI-1 and CRI-2, and negative associated with PP and HDL-C. The ROC analysis further reveals that multiple cardiometabolic risk factors can collectively discriminate exposure to PM2.5 constituents (AUC>0.9), among which PP and CRI-2 as individual indicators exhibit better identifiable performance for nitrate and ammonium (AUC>0.75). We also found that multiple blood lipid indicators may be affected by PM2.5 and its constituents, possibly mediated through complement C3 or hsCRP. CONCLUSION Our study suggested associations of individual and combined PM2.5 constituents exposure with cardiometabolic risk factors. PP and CRI-2 were the targeted markers of long-term exposure to nitrate and ammonium. Inflammation may serve as a mediating factor between PM2.5 constituents and dyslipidemia, which enhance current understanding of potential pathways for PM2.5-induced preclinical cardiovascular responses.
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Affiliation(s)
- Jiaxin Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China; Big Data Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Quan Zhou
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Yanbing Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Kai Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Ming Yang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
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Sun Y, Li F, Zhou Y, Liu A, Lin X, Zou Z, Lv X, Zhou J, Li Z, Wu X, Dou S, Zhang M, Zhu J, Chen Y, Xiao X, Hu Y, Li H, Li Y. Nonlinear association between atherogenic index of plasma and type 2 diabetes mellitus in overweight and obesity patients: evidence from Chinese medical examination data. Cardiovasc Diabetol 2024; 23:226. [PMID: 38951808 PMCID: PMC11218131 DOI: 10.1186/s12933-024-02330-y] [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: 04/27/2024] [Accepted: 06/19/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is closely associated with the onset of diabetes, with obesity being a significant risk factor for type 2 diabetes mellitus (T2DM). However, the association between the AIP and T2DM in overweight and obese populations has been infrequently studied. Therefore, this study aimed to explore this association in overweight and obese individuals with T2DM. METHODS This cross-sectional analysis utilized data from 40,633 participants with a body mass index (BMI) ≥ 24 kg/m2 who were screened from January 2018 to December 2023 at Henan Provincial People's Hospital. Participants were categorized into groups of overweight and obese individuals with and without diabetes according to the T2DM criteria. The AIP, our dependent variable, was calculated using the formula log10 [(TG mol/L)/HDL-C (mol/L)]. We investigated the association between the AIP and T2DM in overweight and obese individuals using multivariate logistic regression, subgroup analysis, generalized additive models, smoothed curve fitting, and threshold effect analysis. Additionally, mediation analysis evaluated the role of inflammatory cells in AIP-related T2DM. RESULTS Overweight and obese patients with T2DM exhibited higher AIP levels than those without diabetes. After adjusting for confounders, our results indicated a significant association between the AIP and the risk of T2DM in overweight and obese individuals (odds ratio (OR) = 5.17, 95% confidence interval (CI) 4.69-5.69). Notably, participants with a high baseline AIP (Q4 group) had a significantly greater risk of T2DM than those in the Q1 group, with an OR of 3.18 (95% CI 2.94-3.45). Subgroup analysis revealed that the association between the AIP and T2DM decreased with increasing age (interaction P < 0.001). In overweight and obese populations, the association between AIP and T2DM risk displayed a J-shaped nonlinear pattern, with AIP > - 0.07 indicating a significant increase in T2DM risk. Various inflammatory cells, including neutrophils, leukocytes, and monocytes, mediated 4.66%, 4.16%, and 1.93% of the associations, respectively. CONCLUSION In overweight and obese individuals, the AIP was independently associated with T2DM, exhibiting a nonlinear association. Additionally, the association between the AIP and T2DM decreased with advancing age. Multiple types of inflammatory cells mediate this association.
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Affiliation(s)
- Yongbing Sun
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Fengli Li
- Department of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Yang Zhou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Ao Liu
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xinbei Lin
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Zhi Zou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xue Lv
- Henan Provincial People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Jing Zhou
- Henan Provincial Research Center of Clinical Medicine of Nephropathy, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, #7 Wei Wu Road, Zhengzhou, 450003, China
| | - Zhonglin Li
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Xiaoling Wu
- Department of Nuclear Medicine, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Shewei Dou
- Department of Medical Imaging, People's Hospital of Zhengzhou University, #7 Wei Wu Road, Zhengzhou, 450003, Henan, China
| | - Michael Zhang
- Sevenoaks Health Management Center, Canada-Canada Institute of Health Engineering, University of Manitoba, Winnipeg, Canada
| | - Jiadong Zhu
- Chronic Health Management Laboratory, Department of Health Management, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China
| | - Yalong Chen
- Department of Medical Imaging, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Xinguang Xiao
- Department of Medical Imaging, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China
| | - Yangxi Hu
- Department of Bariatric Metabolic Surgery, Central Hospital of Zhengzhou University, #195 Tongbai Road, Zhengzhou, 450003, Henan, China.
| | - Hao Li
- Fuwaihua Central Vascular Disease Hospital, #1 Fuwai Avenue, Zhengzhou, 451464, Henan, China.
| | - Yongli Li
- Chronic Health Management Laboratory, Department of Health Management, Henan Provincial People's Hospital, Zhengzhou, 450003, Henan, China.
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Qu L, Fang S, Lan Z, Xu S, Jiang J, Pan Y, Xu Y, Zhu X, Jin J. Association between atherogenic index of plasma and new-onset stroke in individuals with different glucose metabolism status: insights from CHARLS. Cardiovasc Diabetol 2024; 23:215. [PMID: 38907337 PMCID: PMC11193183 DOI: 10.1186/s12933-024-02314-y] [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: 04/13/2024] [Accepted: 06/16/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Circulating atherogenic index of plasma (AIP) levels has been proposed as a novel biomarker for dyslipidemia and as a predictor of insulin resistance (IR) risk. However, the association between AIP and the incidence of new-onset stroke, particularly in individuals with varying glucose metabolism status, remains ambiguous. METHODS A total of 8727 participants aged 45 years or older without a history of stroke from the China Health and Retirement Longitudinal Study (CHARLS) were included in this study. The AIP was calculated using the formula log [Triglyceride (mg/dL) / High-density lipoprotein cholesterol (mg/dL)]. Participants were divided into four groups based on their baseline AIP levels: Q1 (AIP ≤ 0.122), Q2 (0.122 < AIP ≤ 0.329), Q3 (0.329 < AIP ≤ 0.562), and Q4 (AIP > 0.562). The primary endpoint was the occurrence of new-onset stroke events. The Kaplan-Meier curves, multivariate Cox proportional hazard models, and Restricted cubic spline analysis were applied to explore the association between baseline AIP levels and the risk of developing a stroke among individuals with varying glycemic metabolic states. RESULTS During an average follow-up of 8.72 years, 734 participants (8.4%) had a first stroke event. The risk for stroke increased with each increasing quartile of baseline AIP levels. Kaplan-Meier curve analysis revealed a significant difference in stroke occurrence among the AIP groups in all participants, as well as in those with prediabetes mellitus (Pre-DM) and diabetes mellitus (DM) (all P values < 0.05). After adjusting for potential confounders, the risk of stroke was significantly higher in the Q2, Q3, and Q4 groups than in the Q1 group in all participants. The respective hazard ratios (95% confidence interval) for stroke in the Q2, Q3, and Q4 groups were 1.34 (1.05-1.71), 1.52 (1.19-1.93), and 1.84 (1.45-2.34). Furthermore, high levels of AIP were found to be linked to an increased risk of stroke in both pre-diabetic and diabetic participants across all three Cox models. However, this association was not observed in participants with normal glucose regulation (NGR) (p > 0.05). Restricted cubic spline analysis also demonstrated that higher baseline AIP levels were associated with higher hazard ratios for stroke in all participants and those with glucose metabolism disorders. CONCLUSIONS An increase in baseline AIP levels was significantly associated with the risk of stroke in middle-aged and elderly individuals, and exhibited distinct characteristics depending on the individual's glucose metabolism status.
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Affiliation(s)
- Longjie Qu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Shuang Fang
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Zhen Lan
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Shuai Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Jialiu Jiang
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Yilin Pan
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Yun Xu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China
| | - Xiaolei Zhu
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China.
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China.
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China.
| | - Jiali Jin
- Department of Neurology, Nanjing Drum Tower Hospital, Clinical College of Nanjing Medical University, Nanjing, 210008, China.
- Department of Neurology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
- State Key Laboratory of Pharmaceutical Biotechnology, Institute of Translational Medicine for Brain Critical Diseases, Nanjing University, Nanjing, 210008, China.
- Jiangsu Key Laboratory for Molecular Medicine, Medical School of Nanjing University, Nanjing, 210008, China.
- Nanjing Neurology Clinical Medical Center, Nanjing, 210008, China.
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Zhang G, Zhang H, Fu J, Zhao Y. Atherogenic Index of Plasma as a Mediator in the association between Body Roundness Index and Depression: insights from NHANES 2005-2018. Lipids Health Dis 2024; 23:183. [PMID: 38867232 PMCID: PMC11167922 DOI: 10.1186/s12944-024-02177-y] [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: 04/01/2024] [Accepted: 06/04/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Previous studies have shown a correlation between depression and obesity, as well as between depression and the Atherogenic Index of Plasma (AIP). However, there is limited research on the association between visceral obesity and depression, as well as the potential mediating role of AIP in this relationship. METHODS This study included 13,123 participants from the 2005-2018 National Health and Nutrition Examination Survey. Visceral obesity was measured with the Body Roundness Index (BRI), while depression was evaluated with the Patient Health Questionnaire-9. The AIP served as a marker for lipid disorders. To investigate the association between the BRI and depression, multivariate logistic regressions, restricted cubic spline models, subgroup analyses, and interaction tests were used. Additionally, a mediation analysis was conducted to explore the role of AIP in mediating the effect of BRI on depression. RESULTS There was a positive linear correlation between the BRI and depression. After controlling for all covariates, individuals in the highest BRI (Q4) group had an OR of 1.42 for depression (95% CI: 1.12-1.82) in comparison with individuals in the lowest BRI (Q1) group. Moreover, the AIP partially mediated the association between the BRI and depression, accounting for approximately 8.64% (95% CI: 2.04-16.00%) of the total effect. CONCLUSION The BRI was positively associated with depression, with the AIP playing a mediating role. This study provides a novel perspective on the mechanism that connects visceral obesity to depression. Managing visceral fat and monitoring AIP levels may contribute to alleviating depression.
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Affiliation(s)
- Genshan Zhang
- Department of Vascular Surgery, First Hospital of Lanzhou University, Lanzhou, 730030, China
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Haokun Zhang
- School of Public Health and Health Management, Gannan Medical University, Ganzhou, 341000, PR China
| | - Jie Fu
- Department of Nursing, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China.
| | - Yufeng Zhao
- Department of Vascular Surgery, First Hospital of Lanzhou University, Lanzhou, 730030, China.
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10
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Sun M, Liang C, Lin H, Chen Z, Wang M, Fang S, Tian T, Yang Y, Tang Q, Zhang E, Tang Q. Association between the atherogenic index of plasma and left ventricular hypertrophy in patients with obstructive sleep apnea: a retrospective cross-sectional study. Lipids Health Dis 2024; 23:185. [PMID: 38867215 PMCID: PMC11167813 DOI: 10.1186/s12944-024-02170-5] [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: 03/26/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is a simple and reliable marker of insulin resistance and is closely associated with various cardiovascular diseases (CVDs). However, the relationships between AIP and left ventricular (LV) geometric indicators have not been adequately assessed. This study was carried out to investigate the association between AIP and LV geometric abnormalities in obstructive sleep apnea (OSA) patients. METHODS This retrospective cross-sectional study included a total of 618 OSA patients (57.3 ± 12.4 years, 73.1% males, BMI 28.1 ± 4.2 kg/m2) who underwent echocardiography. Patients with OSA were diagnosed with clinical symptoms and an apnea-hypopnea index ≥ 5.0. LV hypertrophy (LVH) was defined as left ventricular mass index (LVMIh2.7) ≥ 50.0 g/m2.7 for men and 47.0 g/m2.7 for women. AIP was calculated as log10 (TG/HDL-C). RESULTS Compared with the non-LVH group, AIP was significantly higher in the LVH group (0.19 ± 0.29 vs 0.24 ± 0.28, P = 0.024) and the concentric LVH group (0.18 ± 0.29, 0.19 ± 0.30, 0.20 ± 0.26 and 0.29 ± 0.29 in the control, concentric remodeling, eccentric hypertrophy and concentric hypertrophy groups, respectively, P = 0.021). Meanwhile, in the group of patients with the highest AIP tertile, the levels of LVMIh2.7 (42.8 ± 10.5, 43.2 ± 9.3 and 46.1 ± 12.1 in the T1, T2 and T3 groups, respectively, P = 0.003), and the prevalence of LVH (25.2%, 24.0% and 34.6% in the T1, T2 and T3 groups, respectively, P = 0.032) and concentric LVH (10.7%, 9.8% and 20.2% in the T1, T2 and T3 groups, respectively, P = 0.053) were higher compared with those in the other groups. Positive correlations between AIP and LV geometric indicators including the LVMIh2.7, LVMIBSA, LV mass (LVM), diastolic left ventricular inner diameter (LVIDd), diastolic left ventricular posterior wall thickness (PWTd) and diastolic interventricular septal thickness (IVSTd), were revealed according to correlation analysis (P < 0.05). Furthermore, AIP was independently associated with LVMIh2.7 according to multivariate linear regression model (β = 0.125, P = 0.001). Notably, AIP remained independently associated with an elevated risk of LVH [odds ratio (OR) = 1.317 per 1 standard deviation (SD) increment, 95% confidence interval (CI): 1.058 - 1.639, P = 0.014) and concentric LVH (OR = 1.545 per 1 SD increment, 95% CI: 1.173 - 2.035, P = 0.002) after fully adjusting for all confounding risk factors by multivariate logistic regression analyses. CONCLUSIONS AIP was independently associated with an increased risk of LVH and concentric LVH in OSA patients. Therefore, AIP, as a practical and cost-effective test, might be useful in monitoring hypertrophic remodeling of the heart and improving CVDs risk stratification in clinical management of OSA.
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Affiliation(s)
- Min Sun
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Chao Liang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Hui Lin
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Zhiyan Chen
- Heart Center, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Meng Wang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Shijie Fang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Tian Tian
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Yujing Yang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Qunzhong Tang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China
| | - Erming Zhang
- Department of Respiratory, Peking University Shougang Hospital, Beijing, China
| | - Qiang Tang
- Department of Cardiology, Peking University Shougang Hospital, Beijing, China.
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11
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Xu B, Ma G, Yang L, Chen X, Bian B, Yang B, Zhang D, Qin X, Zhu L, Yin H, Wei X, Feng M. Non-linear association of atherogenic index of plasma with bone mineral density a cross-sectional study. Lipids Health Dis 2024; 23:181. [PMID: 38867213 PMCID: PMC11167925 DOI: 10.1186/s12944-024-02180-3] [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: 04/30/2024] [Accepted: 06/07/2024] [Indexed: 06/14/2024] Open
Abstract
INTRODUCTION Although there has been abundant evidence of the association between dyslipidemia as a single factor and osteoporosis, the non-linear relationship between osteoporosis and the Atherogenic Index of Plasma (AIP) has not yet been thoroughly investigated. This study aimed to investigate the complex relationship between AIP and bone mineral density (BMD) to elucidate their interrelationship. METHODS An analysis of 2007-2018 National Health and Nutrition Survey (NHANES) data was conducted for this study. The study enrolled 5,019 participants. Logarithmically multiplying triglycerides and high-density lipoprotein cholesterol yields the AIP (base 10). The measured variables consisted of BMD in the total femur (TF), femoral neck (FN), and lumbar spine (LS). The association between AIP and BMD was examined using a range of statistical models, such as weighted multivariable logistic regression, generalized additive model, etc. RESULTS: It was found that AIP was positively associated with BMD after adjusting for age, gender, race, socioeconomic status, degree of education, income, Consuming alcoholic beverages, osteoporosis status (Yes or No), ALT, AST, serum creatinine, and total calcium levels. Further studies supported the association link between elevated BMD and AIP. Furthermore, compared to men, females had a higher positive connection between AIP and BMD. In general, there was a curve in the reverse L-shape seen, with a point of change around 0.877, indicating a relationship between AIP and TF BMD. Moreover, a curve exhibiting an L-formed pattern, with a point of inflection at around 0.702, was seen between AIP and FN BMD. In addition, a J-shaped curve was seen, with a point of inflection at 0.092, which demonstrates the association between AIP and LS BMD. CONCLUSION The AIP and TF BMD curves resemble inverted L shapes, as do the AIP and FN BMD curves. The relationship between AIP and LS BMD was further demonstrated by a J-shaped curve. The results indicate a possible association between AIP and bone mineral density, which should be explored in more detail.
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Affiliation(s)
- Bo Xu
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Guoliang Ma
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Liu Yang
- Department of Dermatology, Guanganmen Hospital, China Academy of Chinese, Medical Sciences, Beijing, China
| | - Xin Chen
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Bo Bian
- Traditional Chinese Medical College, North China University of Science and Technology, Tangshan, Hebei, China
| | - Bowen Yang
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Dian Zhang
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Xiaokuan Qin
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
| | - Liguo Zhu
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China
- Beijing Key Laboratory of Bone Setting Technology of Traditional Chinese Medicine, Beijing, China
| | - He Yin
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
| | - Xu Wei
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
| | - Minshan Feng
- Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, 100000, China.
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Wang D, Sun Z, Yin Y, Xiang J, Wei Y, Ma Y, Wang L, Liu G. Vitamin D and Atherosclerosis: Unraveling the Impact on Macrophage Function. Mol Nutr Food Res 2024:e2300867. [PMID: 38864846 DOI: 10.1002/mnfr.202300867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 04/02/2024] [Indexed: 06/13/2024]
Abstract
Vitamin D plays a crucial role in preventing atherosclerosis and in the regulation of macrophage function. This review aims to provide a comprehensive summary of the clinical evidence regarding the impact of vitamin D on atherosclerotic cardiovascular disease, atherosclerotic cerebrovascular disease, peripheral arterial disease, and associated risk factors. Additionally, it explores the mechanistic studies investigating the influence of vitamin D on macrophage function in atherosclerosis. Numerous findings indicate that vitamin D inhibits monocyte or macrophage recruitment, macrophage cholesterol uptake, and esterification. Moreover, it induces autophagy of lipid droplets in macrophages, promotes cholesterol efflux from macrophages, and regulates macrophage polarization. This review particularly focuses on analyzing the molecular mechanisms and signaling pathways through which vitamin D modulates macrophage function in atherosclerosis. It claims that vitamin D has a direct inhibitory effect on the formation, adhesion, and migration of lipid-loaded monocytes, thus exerting anti-atherosclerotic effects. Therefore, this review emphasizes the crucial role of vitamin D in regulating macrophage function and preventing the development of atherosclerosis.
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Affiliation(s)
- Dongxia Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, 050017, China
| | - Zhen Sun
- Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Yajuan Yin
- Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Jingyi Xiang
- Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Yuzhe Wei
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, 050017, China
| | - Yuxia Ma
- Department of Nutrition and Food Hygiene, School of Public Health, Hebei Key Laboratory of Environment and Human Health, Hebei Medical University, Shijiazhuang, 050017, China
| | - Le Wang
- Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
| | - Gang Liu
- Department of Cardiology, Hebei International Joint Research Center for Structural Heart Disease, Hebei Key Laboratory of Cardiac Injury Repair Mechanism Study, The First Hospital of Hebei Medical University, Shijiazhuang, 050000, China
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Heidarzadeh-Esfahani N, Hajahmadi S, Pasdar Y, Darbandi M, Najafi F, Moradinazar M, Bonyani M, Feyz-BashiPoor R, Soltani S. Diet-related inflammation is positively associated with atherogenic indices. Sci Rep 2024; 14:13190. [PMID: 38851843 PMCID: PMC11162500 DOI: 10.1038/s41598-024-63153-1] [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: 03/08/2024] [Accepted: 05/25/2024] [Indexed: 06/10/2024] Open
Abstract
Current evidence suggests that non-traditional serum lipid ratios are more effective than traditional serum lipid parameters in predicting vascular diseases, and both of them are associated with dietary patterns. Therefore, this study aimed to investigate the relationship between the dietary inflammatory index (DII) and atherogenic indices using traditional serum lipid parameters (triglyceride (TG), total cholesterol (TC), LDL cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c)) and non-traditional serum lipid ratios (atherogenic index of plasma (AIP), Castelli's index-I (CRI_I), Castelli's index-II (CRI_II), the lipoprotein combination index (LCI), and the atherogenic coefficient (AC)). Basic information from the Ravansar Non-Communicable Diseases cohort study was utilized in the present cross-sectional observational study. The study included 8870 adults aged 35-65 years. A validated food frequency questionnaire (FFQ) was used to measure DII. We compared the distributions of outcomes by DII score groups using multivariable linear regression. The difference between DII score groups was evaluated by the Bonferroni test. The mean ± SD DII was - 2.5 ± 1.43, and the prevalence of dyslipidemia was 44%. After adjusting for age, sex, smoking status, alcohol consumption status, physical activity, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), body mass index (BMI) and socioeconomic status (SES), participants in the highest quartile of DII had a greater risk for CRI_I (β = 0.11, CI 0.05, 0.18), CRI_II (β = 0.06, CI 0.01, 0.11), LCI (β = 0.11, CI 288.12, 8373.11), AC (β = 0.11, CI 0.05, 0.17) and AIP (β = 0.06, CI 0.02, 0.10). Moreover, according to the adjusted logistic regression model, the risk of dyslipidemia significantly increased by 24% (OR: 1.24, 95% CI 1.08-1.41), 7% (OR: 1.07, 95% CI 0.94, 1.21) and 3% (OR: 1.03, 95% CI 0.91, 1.16) in Q4, Q3 and Q2 of the DII, respectively. Finally, diet-related inflammation, as estimated by the DII, is associated with a higher risk of CRI-I, CRI-II, LCI, AC, and AIP and increased odds of dyslipidemia.
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Affiliation(s)
- Neda Heidarzadeh-Esfahani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Nutritional Sciences Department, School of Nutrition Sciences and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran
- Ala Cancer Control and Prevention Centre, Isfahan, Iran
| | - Salimeh Hajahmadi
- Department of Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Yahya Pasdar
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mitra Darbandi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Farid Najafi
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mehdi Moradinazar
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mitra Bonyani
- Medical Education Development Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Roxana Feyz-BashiPoor
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Shahin Soltani
- Research Center for Environmental Determinants of Health (RCEDH), Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran.
- Student Research Committee, Kermanshah University Of Medical Sciences, Kermanshah, Iran.
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14
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Zhang Y, Chen S, Tian X, Xu Q, Xia X, Zhang X, Li J, Wu S, Wang A. Elevated atherogenic index of plasma associated with stroke risk in general Chinese. Endocrine 2024; 84:934-942. [PMID: 38197990 DOI: 10.1007/s12020-023-03677-0] [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: 09/25/2023] [Accepted: 12/26/2023] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND AIMS The atherogenic index of plasma (AIP) is supposed to be associated with cardiovascular disease (CVD), but there is limited evidence on its longitudinal effect. Our study aimed to explore the associations between baseline and long-term AIP with the risk of stroke and its subtypes. METHODS AND RESULTS A total of 97,959 participants free of stroke at baseline were included in the Kailuan study. The AIP was calculated as the logarithm of the ratio of triglyceride to high-density lipoprotein cholesterol. The updated mean AIP was calculated as the average of the AIP from baseline to the first occurrence of outcome or the end of follow-up. The outcome was the first occurrence of stroke, including ischemic stroke (IS) and intracerebral hemorrhage (ICH). We used univariable and multivariable Cox proportional hazard models to explore the association between AIP and the risk of stroke. During a median follow-up of 12.79 years, a total of 6307 participants developed stroke, including 5482 IS and 1024 ICH. Compared with the 1st quartile of baseline AIP, the multivariate-adjusted HR in the 4th quartile was 1.12 (95% CI, 1.03-1.22, p for trend <0.001) for stroke risk. Same results were found in IS, but no significant association was found for ICH. The associations between updated mean AIP and stroke and its subtypes showed similar results. CONCLUSIONS Elevated levels of both baseline and long-term updated mean AIP were associated with the risk of stroke and IS but not ICH in the general population.
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Affiliation(s)
- Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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15
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He Q, Chen B, Liang F, Zhang Z. Association between the atherogenic index of plasma and bone mineral density among adult women: NHANES (2011-2018). Front Endocrinol (Lausanne) 2024; 15:1363889. [PMID: 38836228 PMCID: PMC11148244 DOI: 10.3389/fendo.2024.1363889] [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: 12/31/2023] [Accepted: 05/01/2024] [Indexed: 06/06/2024] Open
Abstract
Background Studies on the relationship between the atherogenic index of plasma (AIP) and bone mineral density (BMD) among adult women in the United States are limited. The purpose of this study was to explore this association using a sizable, nationally representative sample. Methods Data from the 2011 to 2018 National Health and Nutrition Examination Survey (NHANES) were used in this observational study. The AIP was computed as log10 (triglycerides/high-density lipoprotein cholesterol). Total BMD was measured via dual-energy X-ray densitometry. We constructed multiple linear regression models to evaluate the correlation between the AIP and BMD. The non-linear relationship was characterized by smooth curve fitting and generalized additive models. We also conducted subgroup and interaction analyses. Results In this study, we included 2,362 adult women with a mean age of 38.13 ± 12.42 years. The results of multiple linear regression analysis, the AIP and total BMD showed a negative association (β = -0.021, 95%CI: -0.037, -0.006). The curve fitting analysis and threshold effect analysis showed a non-linear relationship between the two variables, and the inflection point of the AIP was found to be -0.61. The total BMD decreased significantly when the AIP reached this value (β = -0.03, 95%CI: -0.04, -0.01). The results of the subgroup analysis showed that AIP and total BMD had a strong negative relationship in participants who were below 45 years old (β = -0.023; 95% CI: -0.041, -0.004), overweight (BMI ≥ 25 kg/m2) (β = -0.022; 95% CI: -0.041, -0.002), had a higher education level (β = -0.025; 95% CI: -0.044, -0.006), and had no partners (β = -0.014; 95% CI: -0.06, -0.009). Conclusions We found a negative correlation between the AIP and total BMD. Clinicians should pay attention to patients with high AIP, which might indicate a low BMD and has reference significance in preventing osteoporosis.
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Affiliation(s)
- Qiwang He
- College of Acupuncture and Orthopedics, Hubei University of Chinese Medicine, Wuhan, China
- Department of Orthopedics, Hubei University Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China
| | - Bo Chen
- Department of Endocrinology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
- Center for Clinical Evidence-Based and Translational Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Fuchao Liang
- Department of Urology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China
| | - Zhiwen Zhang
- Department of Orthopedics, Hubei University Affiliated Hospital of Hubei University of Chinese Medicine, Wuhan, China
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Demirtola Aİ, Erdöl MA, Mammadli A, Göktuğ Ertem A, Yayla Ç, Akçay AB. Predicting coronary artery severity in patients undergoing coronary computed tomographic angiography: Insights from pan-immune inflammation value and atherogenic index of plasma. Nutr Metab Cardiovasc Dis 2024:S0939-4753(24)00201-1. [PMID: 38897846 DOI: 10.1016/j.numecd.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/29/2024] [Accepted: 05/11/2024] [Indexed: 06/21/2024]
Abstract
BACKGROUND AND AIMS Coronary computed tomographic angiography (CCTA) is pivotal in diagnosing coronary artery disease (CAD). We explored the link between CAD severity and two biomarkers, Pan-Immune Inflammation Value (PIV) and Atherogenic Index of Plasma (AIP), in stable CAD patients. METHODS AND RESULTS A retrospective observational study of 409 CCTA patients with stable angina pectoris. Logistic regression identified predictors of severe CAD, stratified by CAD-RADS score. Receiver Operating Characteristic (ROC) curves evaluated predictive performance. PIV and AIP were significant predictors of severe CAD (PIV: OR 1.002, 95% CI: 1.000-1.004, p < 0.021; AIP: OR 0.963, 95% CI: 0.934-0.993, p < 0.04). AUC values for predicting severe CAD were 0.563 (p < 0.001) for PIV and 0.625 (p < 0.05) for AIP. Combined with age, AUC improved to 0.662 (p < 0.02). CONCLUSIONS PIV and AIP were associated with severe CAD, with AIP demonstrating superior predictive capability. Incorporating AIP into risk assessment could enhance CAD prediction, offering a cost-effective and accessible method for identifying individuals at high risk of coronary atherosclerosis.
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Affiliation(s)
| | | | | | | | - Çağrı Yayla
- University of Health Science Ankara City Hospital, Turkey
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17
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Chen Y, Lu C, Ju H, Zhou Q, Zhao X. Elevated AIP is associated with the prevalence of MAFLD in the US adults: evidence from NHANES 2017-2018. Front Endocrinol (Lausanne) 2024; 15:1405828. [PMID: 38808115 PMCID: PMC11130487 DOI: 10.3389/fendo.2024.1405828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 04/30/2024] [Indexed: 05/30/2024] Open
Abstract
Background Atherogenic Index of plasma (AIP) is closely related to metabolic abnormalities. But as of now, there is no definitive conclusion on the dose-response relationship pattern between AIP and metabolic associated fatty liver disease (MAFLD). Objective The objective of this study was to provide a fresh insight for understanding the intrinsic link between AIP and the prevalence of MAFLD by exploring the dose-response pattern between AIP and MAFLD. Methods A total of 9254 participants received the survey and 1090 participants were finally included according to the screening criteria. To evaluate the association between AIP and the prevalence of MAFLD based on weighted multivariate logistic regression. Sensitivity analysis of the association between AIP and MAFLD was performed using propensity score matching (PSM). Restrictive cubic splines (RCS) were used to identify patterns of dose-response relationships between AIP and MAFLD, and receiver operator characteristic (ROC) curves were used to evaluate the predictive ability of AIP and traditional lipid parameters for MAFLD. Results In this study, a total of 563 participants were found to have MAFLD. The results of weighted multivariate logistic regression analysis demonstrated that, after adjusting for sex and age, participants in the highest quartile (Q4) of AIP had a significantly increased risk of developing MAFLD compared to those in the lowest quartile (Q1) (Model 2: OR = 9.03, 95% CI 4.75-17.17). A similar trend was observed in the fully adjusted model (Model 3: OR = 3.85, 95% CI 1.55-9.52). The RCS analysis revealed a linear dose-response association between AIP and MAFLD(P for crude non-linearity = 0.087). This association remained significant after accounting for potential confounding variables(P for adjusted non-linearity = 0.663). The ROC curve results suggest that AIP performs better than traditional lipid indicators in predicting MAFLD (AUC = 0.732, 95%CI 0.705-0.758). Conclusion A linear dose-response relationship exists between AIP and MAFLD, suggesting that as AIP increases, so does the risk of developing MAFLD.
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Affiliation(s)
| | | | | | | | - Xin Zhao
- Department of Cardiology, The Second Hospital of Dalian Medical University, Dalian, China
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18
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Costa MM, Spínola MP, Tavares B, Pestana JM, Tavares JC, Martins CF, Alfaia CM, Carvalho DFP, Mendes AR, Ferreira JI, Mourato MP, Lordelo MM, Prates JAM. Effects of high dietary inclusion of Arthrospira platensis, either extruded or supplemented with a super-dosing multi-enzyme mixture, on broiler growth performance and major meat quality parameters. BMC Vet Res 2024; 20:176. [PMID: 38711127 DOI: 10.1186/s12917-024-04027-6] [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: 11/17/2023] [Accepted: 04/22/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND This investigation assessed the effects of high dietary inclusion of Spirulina (Arthrospira platensis) on broiler chicken growth performance, meat quality and nutritional attributes. For this, 120 male broiler chicks were housed in 40 battery brooders (three birds per brooder). Initially, for 14 days, a standard corn and soybean meal diet was administered. Subsequently, from days 14 to 35, chicks were assigned to one of the four dietary treatments (n = 10 per treatment): (1) control diet (CTR); (2) diet with 15% Spirulina (SP); (3) diet with 15% extruded Spirulina (SPE); and (4) diet with 15% Spirulina plus a super-dosing enzymes supplement (0.20% pancreatin extract and 0.01% lysozyme) (SPM). RESULTS Throughout the experimental period, both SP and SPM diets resulted in decreased final body weight and body weight gain compared to control (p < 0.001), with the SPE diet showing comparable results to CTR. The SPE diet prompted an increase in average daily feed intake (p = 0.026). However, all microalga treatments increased the feed conversion ratio compared to CTR. Dietary inclusion of Spirulina notably increased intestinal content viscosity (p < 0.010), which was mitigated by the SPM diet. Spirulina supplementation led to lower pH levels in breast meat 24 h post-mortem and heightened the b* colour value in both breast and thigh meats (p < 0.010). Furthermore, Spirulina contributed to an increased accumulation of total carotenoids, n-3 polyunsaturated fatty acids (PUFA), and saturated fatty acids (SFA), while diminishing n-6 PUFA, thus altering the n-6/n-3 and PUFA/SFA ratios favourably (p < 0.001). However, it also reduced zinc concentration in breast meat (p < 0.001). CONCLUSIONS The findings indicate that high Spirulina levels in broiler diets impair growth due to increased intestinal viscosity, and that extrusion pre-treatment mitigates this effect. Despite reducing digesta viscosity, a super-dosing enzyme mix did not improve growth. Data also indicates that Spirulina enriches meat with antioxidants and n-3 PUFA but reduces α-tocopherol and increases saturated fats. Reduced zinc content in meat suggests the need for Spirulina biofortification to maintain its nutritional value.
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Affiliation(s)
- Mónica M Costa
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Maria P Spínola
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Beatriz Tavares
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - José M Pestana
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - João C Tavares
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Cátia F Martins
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Cristina M Alfaia
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Daniela F P Carvalho
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Ana R Mendes
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Joana I Ferreira
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal
| | - Miguel P Mourato
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Madalena M Lordelo
- Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
- LEAF - Linking Landscape, Environment, Agriculture and Food, Instituto Superior de Agronomia, Universidade de Lisboa, Associated Laboratory TERRA, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - José A M Prates
- CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal.
- AL4AnimalS - Laboratório Associado para Ciência Animal e Veterinária, Av. da Universidade Técnica, 1300-477 Lisboa, Portugal.
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Emiroglu C, Dicle M, Yesiloglu C, Gorpelioglu S, Aypak C. Association between newly diagnosed hyperglycemia/diabetes mellitus, atherogenic index of plasma and obesity in post-COVID-19 syndrome patients. Endocrine 2024; 84:470-480. [PMID: 38001321 DOI: 10.1007/s12020-023-03611-4] [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: 09/24/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023]
Abstract
PURPOSE The COVID-19 pandemic represents a great global concern and its associated morbidities. The goal of this study was to determine the incidence of newly diagnosed hyperglycemia and diabetes among COVID-19 survivors and to evaluate whether obesity and lipid profile have an effect on this group using the atherogenic index of plasma (AIP). METHODS In the retrospective study, 511 adults with a previously diagnosed "Severe Acute Respiratory Syndrome Coronavirus 2" who admitted to COVID-19 follow-up outpatient clinic were evaluated. Data was collected on patient demographics, comorbidities, and some laboratory results. Logistic regression was used to estimate associated factors. RESULTS Newly diagnosed type 2 diabetes mellitus (T2DM) was defined in 17 patients (3.32%), hyperglycemia in 86 patients (16.82%). The results of analysis were examined, gender, age, BMI and triglyceride variables were found to be significant risk factors together. Fasting blood glucose values of 22 out of 86 patients with hyperglycemia returned to normal after six months of follow-up. Undiagnosed-preexisting DM in 4 out of 17 patients diagnosed with T2DM at their first visit and in 7 out of 8 hyperglycemia patients diagnosed with T2DM at the end of six-month follow-up. CONCLUSION COVID-19, may directly/indirectly, predispose to hyperglycemia. Obesity and hyperlipidemia are risk factors for newly diagnosed T2DM/hyperglycemia in post-COVID-19 syndrome patients. Since that some metabolic variables were found to be significantly higher in the group with high AIP values, we suggest that AIP might be used as a reference to predict the development of obesity and T2DM.
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Affiliation(s)
- Canan Emiroglu
- Dışkapı Yıldırım Beyazıt Training and Research Hospital, Depatment of Family Medicine, Ziraat Mahallesi, University of Health Sciences, Şehit Ömer Halisdemir Cad. No:20 Dışkapı Altındağ, Ankara, Turkey.
| | - Murat Dicle
- Dışkapı Yıldırım Beyazıt Training and Research Hospital, Depatment of Family Medicine, Ziraat Mahallesi, University of Health Sciences, Şehit Ömer Halisdemir Cad. No:20 Dışkapı Altındağ, Ankara, Turkey
| | - Cem Yesiloglu
- Dışkapı Yıldırım Beyazıt Training and Research Hospital, Depatment of Family Medicine, Ziraat Mahallesi, University of Health Sciences, Şehit Ömer Halisdemir Cad. No:20 Dışkapı Altındağ, Ankara, Turkey
| | - Suleyman Gorpelioglu
- Dışkapı Yıldırım Beyazıt Training and Research Hospital, Depatment of Family Medicine, Ziraat Mahallesi, University of Health Sciences, Şehit Ömer Halisdemir Cad. No:20 Dışkapı Altındağ, Ankara, Turkey
| | - Cenk Aypak
- Dışkapı Yıldırım Beyazıt Training and Research Hospital, Depatment of Family Medicine, Ziraat Mahallesi, University of Health Sciences, Şehit Ömer Halisdemir Cad. No:20 Dışkapı Altındağ, Ankara, Turkey
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20
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Wu Z, Wang S, Huang X, Xie M, Han Z, Li C, Wang S, Tang Q, Yang H. Association between the atherogenic index of plasma and hearing loss based on a nationwide cross-sectional study. Lipids Health Dis 2024; 23:125. [PMID: 38685075 PMCID: PMC11057088 DOI: 10.1186/s12944-024-02119-8] [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: 12/18/2023] [Accepted: 04/23/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Hearing loss (HL) is a worldwide public health issue for which the role of dyslipidemia has not been fully elucidated. This study aimed to use the atherogenic index of plasma (AIP), a well-established serum lipid marker, to investigate the association of dyslipidemia with HL among the general population. METHODS Participants (n = 3267) from the National Health and Nutrition Examination Survey database (2005-2012, 2015-2018) were included in the present study. The AIP was calculated based on the following formula: log10 (triglycerides/high-density lipoprotein cholesterol). HL was defined as a pure-tone average of at least 20 dBHL in the better ear. Weighted multivariable logistic regression, subgroup analysis, generalized additive model, and threshold analysis were adopted to reveal the association between the AIP and HL. RESULTS In this study of US adults, a positive association was found between the AIP and high-frequency HL. However, the association between the AIP and low-frequency HL was not as strong. In addition, a reverse L-shaped curve with an inflection point located at -0.27 was detected between the AIP and high-frequency HL, followed by a significant positive association after the inflection point. CONCLUSIONS The potential of the AIP as a bioindicator for high-frequency HL is noteworthy, and maintaining an AIP value below a certain threshold might provide beneficial outcomes in the management of high-frequency HL.
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Affiliation(s)
- Zhiyuan Wu
- Eight-Year Medical Doctor Program, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, P. R. China
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Shu Wang
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Xiaowu Huang
- Department of Otolaryngology, Shenzhen Hospital, Southern Medical University, Shenzhen, 518100, P. R. China
| | - Mengyao Xie
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Zhijin Han
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Chen Li
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Shuyi Wang
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Qi Tang
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China
| | - Hua Yang
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifuyuan, Dongcheng District, Beijing, 100730, P. R. China.
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21
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Zhang Y, Li S, Wu W, Zhao Y, Han J, Tong C, Luo N, Zhang K. Machine-learning-based models to predict cardiovascular risk using oculomics and clinic variables in KNHANES. BioData Min 2024; 17:12. [PMID: 38644481 PMCID: PMC11034020 DOI: 10.1186/s13040-024-00363-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/09/2024] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Recent researches have found a strong correlation between the triglyceride-glucose (TyG) index or the atherogenic index of plasma (AIP) and cardiovascular disease (CVD) risk. However, there is a lack of research on non-invasive and rapid prediction of cardiovascular risk. We aimed to develop and validate a machine-learning model for predicting cardiovascular risk based on variables encompassing clinical questionnaires and oculomics. METHODS We collected data from the Korean National Health and Nutrition Examination Survey (KNHANES). The training dataset (80% from the year 2008 to 2011 KNHANES) was used for machine learning model development, with internal validation using the remaining 20%. An external validation dataset from the year 2012 assessed the model's predictive capacity for TyG-index or AIP in new cases. We included 32122 participants in the final dataset. Machine learning models used 25 algorithms were trained on oculomics measurements and clinical questionnaires to predict the range of TyG-index and AIP. The area under the receiver operating characteristic curve (AUC), accuracy, precision, recall, and F1 score were used to evaluate the performance of our machine learning models. RESULTS Based on large-scale cohort studies, we determined TyG-index cut-off points at 8.0, 8.75 (upper one-third values), 8.93 (upper one-fourth values), and AIP cut-offs at 0.318, 0.34. Values surpassing these thresholds indicated elevated cardiovascular risk. The best-performing algorithm revealed TyG-index cut-offs at 8.0, 8.75, and 8.93 with internal validation AUCs of 0.812, 0.873, and 0.911, respectively. External validation AUCs were 0.809, 0.863, and 0.901. For AIP at 0.34, internal and external validation achieved similar AUCs of 0.849 and 0.842. Slightly lower performance was seen for the 0.318 cut-off, with AUCs of 0.844 and 0.836. Significant gender-based variations were noted for TyG-index at 8 (male AUC=0.832, female AUC=0.790) and 8.75 (male AUC=0.874, female AUC=0.862) and AIP at 0.318 (male AUC=0.853, female AUC=0.825) and 0.34 (male AUC=0.858, female AUC=0.831). Gender similarity in AUC (male AUC=0.907 versus female AUC=0.906) was observed only when the TyG-index cut-off point equals 8.93. CONCLUSION We have established a simple and effective non-invasive machine learning model that has good clinical value for predicting cardiovascular risk in the general population.
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Affiliation(s)
- Yuqi Zhang
- School of Computer Science & Engineering, Beihang University, Beijing, China
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China
| | - Sijin Li
- Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weijie Wu
- Department of Cardiology, the Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Yanqing Zhao
- Department of Interventional Radiology & Vascular Surgery, Peking University Third Hospital, Beijing, China
| | - Jintao Han
- Department of Interventional Radiology & Vascular Surgery, Peking University Third Hospital, Beijing, China
| | - Chao Tong
- School of Computer Science & Engineering, Beihang University, Beijing, China.
- State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China.
| | - Niansang Luo
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
| | - Kun Zhang
- Department of Cardiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
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Zielinska-Pukos MA, Kopiasz Ł, Hamulka J. The Effect of Maternal Overweight/Obesity on Serum and Breastmilk Leptin, and Its Associations with Body Composition, Cardiometabolic Health Indices, and Maternal Diet: The BLOOM Study. Metabolites 2024; 14:221. [PMID: 38668349 PMCID: PMC11051946 DOI: 10.3390/metabo14040221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/28/2024] Open
Abstract
In overweight and obese patients, elevated serum and breastmilk leptin concentrations are observed, with serum leptin also being likely affected by the diet. We analyzed serum and breastmilk leptin in normal weight (NW) and overweight/obese (OW/OB) mothers, and evaluated its associations with (1) maternal anthropometric parameters; (2) markers of cardiometabolic health; and (3) the maternal diet. The BLOOM (Breastmilk and the Link to Overweight/Obesity and Maternal diet) study was conducted among 40 women (n = 20 OW/OB; n = 20, NW) who were exclusively or predominantly breastfeeding for 15.5 ± 1.2 (OW/OB group (0.99)) weeks. We collected 24 h breastmilk and fasting blood samples for leptin analysis by ELISA. Maternal dietary habits were evaluated using a 3-day dietary record and food frequency questionnaire, which were used to calculate the Polish-adapted Mediterranean Diet score. Maternal anthropometric measurements and DEXA scans were performed, and anthropometric and cardiometabolic indices were calculated. The OW mothers had 1.4 times higher serum levels, while OB mothers had 4.5 and 6.2 higher serum and breastmilk leptin levels, respectively, in comparison to the NW mothers. The FM% was correlated with serum and breastmilk leptin levels (r = 0.878, r = 0.638). Serum leptin was associated with markers of cardiometabolic health such as AIP, CMI, and VAI in the NW mothers, and with LAP in the OW/OB mothers. Higher energy, fructose intake and adherence to the Mediterranean diet were associated with serum leptin in the NW mothers (β = 0.323, 0.039-0.608; β = 0.318, 0.065-0.572; β = 0.279, 0.031-0.528); meanwhile, higher adherence to the Mediterranean diet could protect against elevated breastmilk leptin concentrations in OW/OB mothers (β = -0.444, -0.839--0.050), even after adjustment for FM%. Our results suggest a potential association between maternal serum leptin concentrations and cardiometabolic health. In addition, we confirm the importance of healthy dietary patterns in the improvement of breastmilk composition.
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Affiliation(s)
- Monika A. Zielinska-Pukos
- Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), Nowoursynowska St. 159c, 02-776 Warsaw, Poland;
| | - Łukasz Kopiasz
- Department of Dietetics, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), Nowoursynowska St. 159c, 02-776 Warsaw, Poland;
| | - Jadwiga Hamulka
- Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), Nowoursynowska St. 159c, 02-776 Warsaw, Poland;
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Rabiee Rad M, Ghasempour Dabaghi G, Darouei B, Amani-Beni R. The association of atherogenic index of plasma with cardiovascular outcomes in patients with coronary artery disease: A systematic review and meta-analysis. Cardiovasc Diabetol 2024; 23:119. [PMID: 38566139 PMCID: PMC10986012 DOI: 10.1186/s12933-024-02198-y] [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: 02/03/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP) represents a novel marker in the current era of cardiovascular diseases. In this meta-analysis, we aimed to evaluate the association of AIP with cardiovascular prognosis in patients with coronary artery disease (CAD). METHODS PubMed, Scopus, and Web of Science databases were searched from inception through 2024. The primary outcome was major cardiovascular events (MACE). The secondary outcomes included all-causes death, cardiovascular death, myocardial infarction (MI), stroke, revascularization, and no-reflow phenomenon. AIP was determined by taking the logarithm of the ratio of triglyceride (TG) to high-density lipoprotein cholesterol (HDL-C). The data analysis was represented using the risk ratio (RR) along with a 95% confidence interval (CI). RESULTS Sixteen studies with a total number of 20,833 patients met the eligible criteria. The pooled-analysis showed a significant increased risk of MACE in the highest AIP group compared with the lowest AIP group (RR = 1.63; 95% CI, 1.44-1.85; P < 0.001). A similar result was observed when AIP was regarded as a continuous variable (RR = 1.54; 95% CI, 1.30-1.83; P < 0.001). Besides, elevated AIP was associated with increased risk of cardiovascular death (RR = 1.79; 95% CI, 1.09-2.78; P = 0.02), MI (RR = 2.21; 95% CI, 1.55-3.13; P < 0.001), revascularization (RR = 1.62; 95% CI, 1.34-1.97; P < 0.001), no-reflow phenomenon (RR = 3.12 95% CI, 1.09-8.96; P = 0.034), and stent thrombosis (RR = 13.46; 95%CI, 1.39-129.02; P = 0.025). However, AIP was not significantly associated with the risk of all-causes death and stroke among patients with CAD. CONCLUSIONS The results of this study demonstrated that increased AIP is an independent prognostic factors in patients with CAD. Further research is warranted to elucidate the potential development of targeted interventions to modify AIP levels and improve patient outcomes.
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Affiliation(s)
- Mehrdad Rabiee Rad
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ghazal Ghasempour Dabaghi
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Bahar Darouei
- School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Reza Amani-Beni
- School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
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Fernández-Macías JC, Marín-Jauregui LS, Méndez-Rodríguez KB, Huerta-Rodríguez AP, Pérez-Vázquez FJ. Atherogenic Index as a Cardiovascular Biomarker in Mexican Workers from Marginalized Urban Areas Occupationally Exposed to Metals. Arch Med Res 2024; 55:102984. [PMID: 38484488 DOI: 10.1016/j.arcmed.2024.102984] [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: 11/16/2023] [Revised: 02/09/2024] [Accepted: 02/27/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Cardiovascular disease (CVD) is one of the main causes of death and disability worldwide. The etiology of CVD is often associated with multiple risk factors, with environmental factors receiving considerable attention. Individuals with precarious jobs are among the groups most affected by chronic exposure to environmental pollutants. AIM This study aimed to evaluate occupational exposure to heavy metals among individuals in precarious job settings and investigate atherogenic indices as biomarkers of cardiovascular risk. METHODS A total of 137 workers participated in this cross-sectional study conducted in three work environments in San Luis Potosi, Mexico. Urine and blood samples were collected to assess metal exposure and biochemical profiles, including atherogenic indices. RESULTS The results showed that workers in the brick sector exhibited the highest levels of metal exposure, particularly arsenic (44.06 µg/L), followed by stonecutters and garbage collectors (24.7 and 16.9 µg/L, respectively). Similarly, Castelli risk index (CRI) and the atherogenic index of plasma (AIP) were higher in brickmakers (3.883 and 0.499) compared to stonecutters (3.285 and 0.386) and garbage collectors (3.329 and 0.367). CONCLUSIONS Evidence of exposure to heavy metals was observed in the three populations, in addition to the fact that individuals with greater exposure to arsenic also exhibited higher CRI and AIP.
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Affiliation(s)
- Juan Carlos Fernández-Macías
- Coordinación para la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México; Consejo Nacional de Humanidades Ciencias y Tecnologías, México
| | - Laura Sherell Marín-Jauregui
- Centro de Investigación en Ciencias de la Salud y Biomedicina, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | - Karen Beatriz Méndez-Rodríguez
- Coordinación para la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México
| | | | - Francisco Javier Pérez-Vázquez
- Coordinación para la Aplicación de la Ciencia y Tecnología, Universidad Autónoma de San Luis Potosí, San Luis Potosí, México; Consejo Nacional de Humanidades Ciencias y Tecnologías, México.
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Du W, Yan C, Wang Y, Song C, Li Y, Tian Z, Liu Y, Shen W. Association between dietary magnesium intake and gallstones: the mediating role of atherogenic index of plasma. Lipids Health Dis 2024; 23:82. [PMID: 38509591 PMCID: PMC10953275 DOI: 10.1186/s12944-024-02074-4] [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: 01/10/2024] [Accepted: 03/07/2024] [Indexed: 03/22/2024] Open
Abstract
BACKGROUND Dyslipidemia and abnormalities in cholesterol metabolism are commonly observed in individuals with gallstone disease. Previous research has demonstrated that dietary magnesium can influence lipid metabolism. The atherogenic index of plasma (AIP) has emerged as a novel lipid marker. This study aimed to examine the possible correlation between dietary magnesium intake and gallstones and the potential mediating role of AIP in US adults. METHODS A total of 4,841 adults were included in this study from the National Health and Nutrition Examination Survey (NHANES) conducted from 2017 to 2020. A variety of statistical techniques such as logistic regression, subgroup analysis, smoothed curve fitting, and causal mediation analysis were utilized to analyze the information collected from the participants. RESULTS In the fully adjusted model, a statistically noteworthy inverse relationship was observed between dietary magnesium intake and the presence of gallstones, as indicated by an odds ratio (OR) of 0.58 and a 95% confidence interval (CI) of (0.42, 0.81). Causal intermediary analysis revealed that the association between magnesium intake and gallstones was partially mediated by AIP, with a mediation ratio of 3.2%. CONCLUSION According to this study, dietary magnesium intake had a significant linear negative association with the prevalence of gallstones, in which AIP played a mediating role. This discovery offers novel perspectives on the prevention and management of gallstones.
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Affiliation(s)
- Wenyi Du
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Chen Yan
- Medical Imaging Centre, Tengzhou Central People's Hospital, Jining Medical College, Shandong, China
| | - Yinkang Wang
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Chen Song
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Yunfan Li
- Department of General Surgery, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Zhiqiang Tian
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China
| | - Yuan Liu
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China.
| | - Wei Shen
- Department of General Surgery, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.
- Wuxi Medical Center of Nanjing Medical University, Wuxi, China.
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26
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Xue Y, Ju J, Zhao W, Ma X, Li S, Zhao Y, Wang X, Liu X, Li J, Yan P, Sun Q. Association between atherogenic index of plasma and asymptomatic intracranial arterial stenosis in middle-aged and elderly women: A cross-sectional study in Shandong, China. Nutr Metab Cardiovasc Dis 2024; 34:598-605. [PMID: 38000995 DOI: 10.1016/j.numecd.2023.09.028] [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: 11/23/2022] [Revised: 08/31/2023] [Accepted: 09/26/2023] [Indexed: 11/26/2023]
Abstract
BACKGROUND AND AIMS The atherogenic index of plasma (AIP) is associated with progression of atherosclerosis and used to describe how pro- or anti-atherogenic components are balanced. However, the association of AIP with asymptomatic intracranial arterial stenosis (aICAS) is uncertain. The purpose of this study is to investigate the association between AIP and aICAS in rural China. METHODS AND RESULTS A total of 1990 participants aged ≥40 years free of stroke or transient ischemic attack were enrolled in this study. The presence of aICAS was examined by Transcranial Doppler ultrasound and confirmed by magnetic resonance angiography. The adjusted AIP (aAIP) was calculated according to the ratio of TG and HDL-C and further separated into 4 quartiles. Multiple logistic regression was used to investigate the association between aAIP and aICAS, and the dose-response relationship was explored by restricted cubic spline. After adjusting for conventional confounders, aAIP was significantly higher in the aICAS group than that in the non-aICAS group. Furthermore, the common odds ratios for aICAS risk increased with increasing aAIP quartiles. Multivariate logistic regression revealed that aAIP was independently associated with aICAS in female or middle-aged and elderly (age ≥50 years), and superior to other lipid profiles. Multiple-adjusted spline regression showed the dose-response association between aAIP levels and aICAS prevalence. CONCLUSIONS AIP might be independently and positively associated with the prevalence of aICAS in middle-aged and elderly women, which might be superior to traditional and nontraditional lipid profiles in rural China.
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Affiliation(s)
- Yuan Xue
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jiachen Ju
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Weihua Zhao
- Department of Neurology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China
| | - Xiaotong Ma
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Shan Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yuanyuan Zhao
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiang Wang
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xiaohui Liu
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jifeng Li
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Peng Yan
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
| | - Qinjian Sun
- Key Laboratory of Endocrine Glucose & Lipids Metabolism and Brain Aging, Ministry of Education, Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
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27
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Zhu B, Wu H, Li KS, Eisa-Beygi S, Singh B, Bielenberg DR, Huang W, Chen H. Two sides of the same coin: Non-alcoholic fatty liver disease and atherosclerosis. Vascul Pharmacol 2024; 154:107249. [PMID: 38070759 DOI: 10.1016/j.vph.2023.107249] [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: 11/03/2023] [Revised: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 02/03/2024]
Abstract
The prevalence of non-alcoholic fatty liver disease (NAFLD) and atherosclerosis remain high, which is primarily due to widespread adoption of a western diet and sedentary lifestyle. NAFLD, together with advanced forms of this disease such as non-alcoholic steatohepatitis (NASH) and cirrhosis, are closely associated with atherosclerotic-cardiovascular disease (ASCVD). In this review, we discussed the association between NAFLD and atherosclerosis and expounded on the common molecular biomarkers underpinning the pathogenesis of both NAFLD and atherosclerosis. Furthermore, we have summarized the mode of function and potential clinical utility of existing drugs in the context of these diseases.
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Affiliation(s)
- Bo Zhu
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Hao Wu
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Kathryn S Li
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Shahram Eisa-Beygi
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Bandana Singh
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Diane R Bielenberg
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America
| | - Wendong Huang
- Department of Diabetes Complications and Metabolism, Arthur Riggs Diabetes and Metabolic Research Institute, Beckman Research Institute, City of Hope National Medical Center, Duarte, CA 91010, United States of America
| | - Hong Chen
- Vascular Biology Program, Boston Children's Hospital, Department of Surgery, Harvard Medical School, Boston, MA, United States of America.
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Chen X, Bao Y, Zhao J, Wang Z, Gao Q, Ma M, Xie Z, He M, Deng X, Ran J. Associations of Triglycerides and Atherogenic Index of Plasma with Brain Structure in the Middle-Aged and Elderly Adults. Nutrients 2024; 16:672. [PMID: 38474800 DOI: 10.3390/nu16050672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Triglyceride (TG) and atherogenic index of plasma (AIP) have been acknowledged to be risk factors for vascular insults, but their impacts on the brain system remain elusive. To fill in some gaps, we investigated associations of TG and AIP with brain structure, leveraging the UK Biobank database. TG and high-density lipoprotein cholesterol (HDL-C) were examined at baseline and AIP was calculated as log (TG/HDL-C). We build several linear regression models to estimate associations of TG and AIP with volumes of brain grey matter phenotypes. Significant inverse associations of TG and AIP with volumes of specific subcortical traits were observed, among which TG and AIP were most significantly associated with caudate nucleus (TG: β [95% confidence interval CI] = -0.036 [-0.051, -0.022], AIP: -0.038 [-0.053, -0.023]), thalamus (-0.029 [-0.042, -0.017], -0.032 [-0.045, -0.019]). Higher TG and AIP were also considerably related with reduced cortical structure volumes, where two most significant associations of TG and AIP were with insula (TG: -0.035 [-0.048, -0.022], AIP: -0.038 [-0.052, -0.025]), superior temporal gyrus (-0.030 [-0.043, -0.017], -0.033 [-0.047, -0.020]). Modification effects of sex and regular physical activity on the associations were discovered as well. Our findings show adverse associations of TG and AIP with grey matter volumes, which has essential public health implications for early prevention in neurodegenerative diseases.
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Affiliation(s)
- Xixi Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yujia Bao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiahao Zhao
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Ziyue Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Qijing Gao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mingyang Ma
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ziwen Xie
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Mu He
- Department of Foundational Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou 215000, China
| | - Xiaobei Deng
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jinjun Ran
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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Han H, Li R, Fu D, Zhou H, Zhan Z, Wu Y, Meng B. Correlation between bone density, bone metabolism markers with lipid metabolism markers and body mass index. BMC Musculoskelet Disord 2024; 25:162. [PMID: 38378530 PMCID: PMC10877819 DOI: 10.1186/s12891-024-07284-6] [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: 08/09/2023] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
PURPOSE We aimed to explore the relationship between bone mineral density (BMD), bone metabolism markers, and blood lipid-related indicators, body mass index (BMI) in elderly individuals. METHODS A retrospective analysis was conducted on 710 patients. Patients' gender, age, height, weight, bone density values, T-scores, bone metabolism markers (including serum N-terminal propeptide of type I collagen (s-PINP), serum C-terminal telopeptide of type I collagen (s-CTX) and 1,25-dihydroxyvitamin D3 (1,25(OH)2D3) and lipid-related indicators (including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG) and Castelli index 1 (TC/HDL-C index) and Castelli index 2 (LDL-C/HDL-C index) were recorded. Correlations between variables were analyzed, and patients were grouped according to gender and T-score for intergroup comparisons. RESULTS HDL-C negatively correlates with BMD and s-CTX. TG, Castelli index, and BMI positively correlate with BMD. BMI negatively correlates with s-PINP. 1,25(OH)2D3 negatively correlates with TC, LDL-C, and Castelli index. LDL-C positively correlates with BMD in males, and TC negatively correlates with s-PINP. In females, HDL-C negatively correlates with BMD, and s-CTX positively correlates with Castelli index. 1,25(OH)2D3 negatively correlates with TC, LDL-C, and Castelli index. TG and Castelli index were higher in normal bone mass group, while HDL-C is higher in the osteoporosis group. TG and BMI positively predicted bone mass density, while HDL-C negatively predicted bone mass density. CONCLUSIONS HDL-C may have a predictive role in osteoporosis, particularly in women. The likelihood of osteoporosis is lower in individuals with high BMI or hyperlipidemia. Some lipid metabolism markers can be used to predict osteoporosis, and further research is needed.
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Affiliation(s)
- Hao Han
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Ran Li
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Dongming Fu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Hongyou Zhou
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Zihao Zhan
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Yi'ang Wu
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Bin Meng
- Department of Orthopedics, The First Affiliated Hospital of Soochow University, Suzhou, China.
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30
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Seidkhani-Nahal A, Heydari H, Tavakolian A, Najafi ML, Miri M. The association of in-utero exposure to air pollution and atherogenic index of plasma in newborns. Environ Health 2024; 23:22. [PMID: 38369478 PMCID: PMC10875836 DOI: 10.1186/s12940-024-01059-1] [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: 03/09/2023] [Accepted: 02/01/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND Prenatal exposure to particulate matter (PM) and traffic was associated with the programming of cardiovascular diseases (CVDs) in early life. However, the exact underlying mechanisms are not fully understood. Therefore, we aimed to evaluate the association between in-utero exposure to PMs and traffic indicators with the atherogenic index of plasma (AIP) in newborns, which is a precise index reflecting an enhancement of lipid risk factors for CVDs. METHODS In this cross-sectional study, a total of 300 mother-newborn pairs were enrolled in Sabzevar, Iran. Spatiotemporal land-use regression models were used to estimate the level of PM1, PM2.5 and PM10 at the mother's residential address. The total length of streets in different buffers (100,300 and 500m) and proximity to major roads were calculated as indicators of traffic. The AIP of cord blood samples was calculated using an AIP calculator. Multiple linear regression models were used to examine the association of PM concentrations as well as traffic indicators with AIP controlled for relevant covariates. RESULTS PM2.5 exposure was significantly associated with higher levels of AIP in newborns. Each interquartile range (IQR) increment of PM2.5 concentration at the mothers' residential addresses was associated with a 5.3% (95% confidence interval (CI): 0.0, 10.6%, P = 0.04) increase in the AIP. Associations between PM1, PM10 and traffic indicators with cord blood level of AIP were positive but not statistically significant. CONCLUSION Our findings showed that in utero exposure to PM2.5 may be associated with CVDs programming through the increase of atherogenic lipids.
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Affiliation(s)
- Ali Seidkhani-Nahal
- Department of Clinical Biochemistry, Faculty of Medical Sciences, Ilam University of Medical Sciences, Ilam, Iran
| | - Hafez Heydari
- Department of Biochemistry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
| | - Ayoub Tavakolian
- Emergency Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Moslem Lari Najafi
- Pharmaceutical Sciences and Cosmetic Products Research Center, Kerman University of Medical Sciences, Kerman, Iran
| | - Mohammad Miri
- Leishmaniasis Research Center, Department of Environmental Health, Sabzevar University of Medical Sciences, Sabzevar, Iran.
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31
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Ma X, Zhang X, Yang Y, Jiang L, Huang Z. Relationship Between Atherogenic Index of Plasma and Serum Uric Acid in Patients With Untreated Essential Hypertension in China: A Cross-Sectional Study. Angiology 2024; 75:148-155. [PMID: 36424679 DOI: 10.1177/00033197221141666] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Several studies have reported that the atherogenic index of plasma (AIP) is associated with serum uric acid (SUA) in healthy middle-aged men, kidney transplant patients, and diabetic patients. We assessed the relationship between AIP and SUA in patients with untreated essential hypertension (EH) in China. In the cross-sectional study, we evaluated 5003 patients with untreated EH in China; 1490 were assigned to the hyperuricemia (HUA) group and 3513 to the normouricemia (non-HUA) group according to the diagnostic criteria of HUA (SUA level≥6 mg/dL in females and ≥7 mg/dL in males). A higher AIP level was found in the HUA group (P < .001), and AIP was positively and independently correlated with SUA after adjusting for statistically significant variables (β = .204, P < .001). Moreover, multivariate logistic regression analysis showed that the AIP was closely and independently related to HUA after adjusting for confounders (odds ratio [OR]: 11.980, 95% confidence interval [CI]: 3.186-45.047, P < .001). Our findings suggested that the AIP was positively and independently associated with SUA, and elevated AIP might be a significant risk factor for HUA in patients with untreated EH in China.
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Affiliation(s)
- Xiaoxiang Ma
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xin Zhang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yanhua Yang
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Jiang
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhaoyi Huang
- Department of Health Management Center and Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Zhang Y, Wu S, Tian X, Xu Q, Xia X, Zhang X, Li J, Chen S, Liu F, Wang A. Elevated atherogenic index of plasma increased the risk of myocardial infarction in a general population. Ann Epidemiol 2024; 90:1-8. [PMID: 37979893 DOI: 10.1016/j.annepidem.2023.11.002] [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: 05/30/2023] [Revised: 10/11/2023] [Accepted: 11/02/2023] [Indexed: 11/20/2023]
Abstract
PURPOSE The atherogenic index of plasma (AIP) has been shown to be related to cardiovascular disease risk, but evidence on the longitudinal pattern of AIP during follow-up is limited. We aimed to explore the associations of baseline and long-term AIP with the risk of myocardial infarction (MI). METHODS We included 98,861 participants in the Kailuan Study who were free of MI at baseline. AIP was calculated as log (triglyceride/high-density lipoprotein cholesterol). Long-term AIP included the long-term mean AIP (mean AIP from baseline to the first occurrence of MI or the end of follow-up) and number of visits with high AIP (above the cutoff value at the first three visits). The baseline and updated mean AIP were in operationalized as quartiles. Cox proportional hazard models were used to determine the associations between AIP and risk of MI. We excluding all deaths during the follow-up visits in the sensitivity analysis. RESULTS During a median follow-up of 12.80 years, 1804 participants developed MI. Compared with quartile 1, the adjusted hazard ratios in baseline and updated mean AIP quartile 4 were 1.63 (95% CI, 1.41-1.88) and 1.59 (95% CI, 1.37-1.83), respectively. Compared with participants who did not have a high AIP, the HR among individuals with AIP elevated by three times was 1.94 (95% CI,1.55-2.45). The sensitivity analysis showed similar associations. CONCLUSIONS Elevated levels of both baseline and long-term AIP increased the risk of MI.
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Affiliation(s)
- Yijun Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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Du W, Wang Y, Song C, Tian Z, Liu Y, Shen W. Diabetes Mellitus Mediates the Relationship Between Atherogenic Index of Plasma and Gallstones: A Population-Based Cross-Sectional Study. Diabetes Metab Syndr Obes 2024; 17:317-332. [PMID: 38288340 PMCID: PMC10822765 DOI: 10.2147/dmso.s449562] [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: 11/13/2023] [Accepted: 01/18/2024] [Indexed: 01/31/2024] Open
Abstract
Purpose Previous studies have shown a correlation between diabetes mellitus and gallstone formation. The atherogenic index of plasma (AIP) is associated with many metabolic diseases. However, insufficient evidence still exists to elucidate the association between AIP and gallstones. The primary objective of this study was to investigate the correlation between AIP and gallstones in US adults, and the secondary objective was to analyze whether diabetes plays a mediating role in the association. Patients and Methods Using data from the National Health and Nutrition Survey (NHANES) conducted between 2017 and March 2020, this study investigated the association between AIP and gallstone incidence in US adults. A variety of statistical methods were used to analyze the data in this study, including multivariate logistic regression, subgroup analyses, restricted cubic spline curves (RCS), and mediation effects analysis. In addition, two-stage linear regression was used to detect possible threshold and saturation effects. Results A total of 6952 subjects were enrolled in the trial, of which 748 patients were diagnosed with gallstones. A significant positive association between AIP and gallstones was observed by fully adjusted multivariate logistic regression analysis, with an odds ratio (OR) of 1.45 and a 95% confidence interval (CI) of (1.09, 1.93). In addition, a non-linear positive association and saturation effect between AIP and gallstones were found, with an inflection point of 0.2246. Mediation analysis showed that diabetes had a mediating effect of 16.9% in the association between AIP and gallstones. Conclusion This study suggests that elevated levels of AIP are linked to an augmented vulnerability to gallstone development, with diabetes serving as a mediating factor. These findings present a novel perspective on clinical approaches to prevent and manage gallstones.
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Affiliation(s)
- Wenyi Du
- Department of General Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
| | - Yixuan Wang
- Medical Integration and Practice Center, Reproductive Hospital Affiliated to Shandong University, Jinan, People’s Republic of China
| | - Chen Song
- Department of General Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
| | - Zhiqiang Tian
- Department of General Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
| | - Yuan Liu
- Department of General Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
| | - Wei Shen
- Department of General Surgery, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi, People’s Republic of China
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Kapıcı Y, Kapıcı OB, Abuş S, Örüm MH, Ayhan S, Bozkurt M, Özer B, Tekin A. Investigation of carotid intima-media thickness in patients with schizophrenia. BMC Psychiatry 2024; 24:54. [PMID: 38233818 PMCID: PMC10795201 DOI: 10.1186/s12888-024-05496-7] [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: 04/20/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND Patients with schizophrenia (SCZ) have a higher risk of cardiovascular diseases than the average population. Early diagnosis of SCZ patients with subclinical atherosclerosis is great importance in reducing cardiovascular morbidity and mortality. The aim of this study was to investigate some clinical risk factors for atherosclerosis in patients with SCZ. METHODS Fifty-one SCZ patients (20 females, 31 males) and 55 healthy controls (HCs) (25 females, 30 males) were included in the study. Electrocardiography (ECG), lipid parameters, hemogram, and biochemistry values of the participants were taken. Low-density lipoprotein (LDL), high-density lipoprotein (HDL), fasting triglycerides, and total cholesterol were measured. The arrhythmogenic index of plasma (AIP) was analyzed. The recorded right and left carotid intima-media thickness (CIMT) measurements by carotid ultrasonography were scanned. RESULTS QT interval (p = 0.035), CIMT-left (p = 0.008), CIMT-right (p = 0.002), fasting triglyceride (p = 0.005), AIP (p = 0.005) in the SCZ group compared to HCs (< 0.001) was statistically higher, while HDL (p = 0.003) was statistically lower. Smoking rates, QT interval (p = 0.035), CIMT-left (p = 0.008), and CIMT-right (p = 0.002) were significantly higher in the the SCZ group than in the HCs. According to odds ratios, individuals with SCZ have a 6.3-fold higher smoking rate. According to Pearson correlation analysis, CIMT-left was positively correlated with age and QT interval (r = 0.568, p < 0.001 and r = 0.589, p < 0.001, respectively). CIMT-right value was also positively correlated with age and QT interval (r = 0.533, p < 0.001 and r = 0.555, p < 0.001, respectively). QT interval positively and significantly predicted CIMT-left and CIMT-right (p < 0.001, β = 0.549 and p = 0.001 and β = 0.506 accordingly). CONCLUSION In this study, a close relationship was found between the QT interval and CIMT in SCZ patients. This finding could be valuable for using an easy-to-calculate data such as QT in place of a laborious test such as CIMT.
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Affiliation(s)
- Yaşar Kapıcı
- Psychiatry Department, Adıyaman University Faculty of Medicine, Adıyaman, Turkey.
| | - Olga Bayar Kapıcı
- Radiology Department, Adıyaman Training and Research Hospital, Adıyaman, Turkey
| | - Sabri Abuş
- Cardiology Department, Adıyaman University Faculty of Medicine, Adıyaman, Turkey
| | - Mehmet Hamdi Örüm
- Psychiatry Department, Elazığ Mental Health and Diseases Hospital, Elazığ, Turkey
| | - Selçuk Ayhan
- Cardiology Department, Adıyaman Training and Research Hospital, Adıyaman, Turkey
| | - Mehmet Bozkurt
- Cardiology Department, Kahta State Hospital, Adıyaman, Turkey
| | - Bilal Özer
- Radiology Department, Kahta State Hospital, Adıyaman, Turkey
| | - Atilla Tekin
- Psychiatry Department, Adıyaman University Faculty of Medicine, Adıyaman, Turkey
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Zhang J, Liu C, Peng Y, Fang Q, Wei X, Zhang C, Sun L, Hu Z, Hong J, Gu W, Wang W, Shi J, Zhang Y. Impact of baseline and trajectory of the atherogenic index of plasma on incident diabetic kidney disease and retinopathy in participants with type 2 diabetes: a longitudinal cohort study. Lipids Health Dis 2024; 23:11. [PMID: 38212770 PMCID: PMC10782533 DOI: 10.1186/s12944-024-02003-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/01/2024] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Some studies have assessed the predictive role of the atherogenic index of plasma (AIP) for macrovascular diseases. This prospective investigation aimed to elucidate whether AIP is associated with diabetic kidney disease (DKD) and diabetic retinopathy (DR) incidence. METHODS The data were extracted from 4831 participants, of whom 2943 and 3360 participants with type 2 diabetes (T2D) were included in the DKD and DR follow-up analyses, respectively. Cox regression models were performed to test the relationships of AIP value at baseline with the risk of incident DKD and DR. Group-based trajectory modelling was utilized to discern AIP trajectories during the follow-up period. Subsequently, logistic regressions were applied to ascertain the influence of AIP trajectories on the incidence of DKD and DR. RESULTS During the follow-up period, 709 (24.1%) and 193 (5.7%) participants developed DKD and DR, respectively. The median (interquartile range) follow-up time was 24.2 (26.3) months for DKD and 25.7 (27.0) months for DR. According to the multivariate Cox regression models, baseline AIP was positively and linearly related to the occurrence of DKD, with a hazard ratio of 1.75 (95% confidence interval [CI] 1.36-2.26). Three distinct trajectories of AIP were identified throughout the follow-up time: Low (31.4%), Median (50.2%), and High (18.3%). Compared to participants with the Low AIP trajectory, those with High and Median AIP trajectories presented 117% (95% CI: 1.62-2.91) and 84% (95% CI 1.46-2.32) greater odds of developing DKD, respectively. However, neither baseline levels nor trajectories of AIP were shown to be related to DR after adjusting for confounding factors. CONCLUSIONS Baseline levels and trajectories of AIP were independently related to elevated DKD risk, indicating that AIP could be used as a predictor for identifying T2D participants at higher risk of DKD. No association between AIP and DR was detected.
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Affiliation(s)
- Jia Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cong Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ying Peng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianhua Fang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing Wei
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Cui Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Sun
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhuomeng Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Hong
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 197 RuiJin Er Road, Shanghai, China.
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Mirzababaei A, Mahmoodi M, Keshtkar A, Ashraf H, Abaj F, Khosravinia D, Radmehr M, Rasaei N, Mirzaei K. Association between dietary intakes of Nitrate and Nitrite with Angina and atherogenic index in adults: A cross-sectional study from Tehran University of Medical Sciences employees` cohort (TEC) study. Curr Probl Cardiol 2024; 49:102206. [PMID: 37967801 DOI: 10.1016/j.cpcardiol.2023.102206] [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: 11/11/2023] [Accepted: 11/11/2023] [Indexed: 11/17/2023]
Abstract
BACKGROUND Previous studies have shown that the intake of nitrate and nitrite may be associated with cardiovascular disease. Therefore, this study sought to investigate the association between dietary intakes of nitrate and nitrite with the odds of angina and atherogenic index in adults. METHODS The study analyzed 1182 adults aged 20+ in the Tehran University of Medical Sciences (TUMS) Employee's Cohort study (TEC), focusing on dietary intakes, angina, and atherogenic indexes, using a validated food frequency questionnaire (FFQ) and the Rose Angina Questionnaire (RAQ). RESULT The study found a significant inverse relationship between nitrate intake and odds of grade 2 angina. The highest dietary nitrate was associated with 29 % lower odds of grade 1 angina and also, 46 % lower odds of angina possible (P<0.05). Adults with the highest nitrate intake had 29 % lower odds of grade 1 angina and 46 % lower odds of angina possible. Adherence to nitrate reduced CRI, Atherogenic index of plasma, and TyG in participants, but no significant association was found with other factors. CONCLUSION The study suggests that high nitrate and nitrite intake can alter angina risk, and a reverse association was found between dietary nitrate intake and various atherogenic indices.
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Affiliation(s)
- Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Mahmoodi
- Department of Cellular and Molecular Nutrition, School of Nutritional Science and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Abbasali Keshtkar
- Department of Disaster and Emergency Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Haleh Ashraf
- Cardiac Primary Prevention Research Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Faezeh Abaj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Darya Khosravinia
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Mina Radmehr
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Niloufar Rasaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
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Yavorov-Dayliev D, Milagro FI, López-Yoldi M, Clemente I, Riezu-Boj JI, Ayo J, Oneca M, Aranaz P. Pediococcus acidilactici (pA1c®) alleviates obesity-related dyslipidemia and inflammation in Wistar rats by activating beta-oxidation and modulating the gut microbiota. Food Funct 2023; 14:10855-10867. [PMID: 37987083 DOI: 10.1039/d3fo01651j] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Due to the importance of the gut microbiota in the regulation of energy homeostasis, probiotics have emerged as an alternative therapy to ameliorate obesity-related disturbances, including cholesterol metabolism dysregulation, dyslipidemia and inflammation. Therefore, the objectives of this study were to evaluate the effect of the probiotic strain Pediococcus acidilactici (pA1c®) on the regulation of adiposity, cholesterol and lipid metabolism, inflammatory markers and gut microbiota composition in diet-induced obese rats. Twenty-nine four-week-old male Wistar rats were divided into three groups: rats fed a control diet (CNT group, n = 8), rats fed a high fat/high sucrose diet (HFS group, n = 11), and rats fed a HFS diet supplemented with pA1c® (pA1c®group, n = 10). Organs and fat depots were weighed, and different biochemical parameters were analysed in serum. Gene expression analyses in the adipose tissue were conducted using real-time quantitative-PCR. Faecal microbiota composition was evaluated using 16S metagenomics. Animals supplemented with pA1c® exhibited a lower proportion of visceral adiposity, a higher proportion of muscle, an improvement in the total-cholesterol/HDL-cholesterol ratio and a decrease in the total cholesterol, triglyceride and aspartate aminotransaminase (AST) serum levels, together with a decrease in several inflammation-related molecules. The expression of key genes related to adipose (Adipoq, Cebpa and Pparg) and glucose (Slc2a1 and Slc2a4) metabolism in the adipose tissue was normalized by pA1c®. Moreover, it was demonstrated that pA1c® supplementation activated fatty acid β-oxidation in the adipose tissue and the liver. Metagenomics demonstrated the presence of pA1c® in the faecal samples, an increase in alpha diversity, an increase in the abundance of beneficial bacteria, and a decrease in the abundance of harmful micro-organisms, including the Streptococcus genus. Thus, our data suggest the potential of pA1c® in the prevention of obesity-related disturbances including hypercholesterolemia, hypertriglyceridemia, inflammation and gut microbiota dysbiosis.
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Affiliation(s)
- Deyan Yavorov-Dayliev
- Genbioma Aplicaciones SL, Polígono Industrial Noain-Esquiroz, Calle S, Nave 4, Esquíroz, Navarra, Spain
- Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain.
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Fermín I Milagro
- Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain.
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERObn), Madrid, Spain
| | - Miguel López-Yoldi
- Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain.
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Iñigo Clemente
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - José Ignacio Riezu-Boj
- Faculty of Pharmacy and Nutrition, Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain.
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Josune Ayo
- Genbioma Aplicaciones SL, Polígono Industrial Noain-Esquiroz, Calle S, Nave 4, Esquíroz, Navarra, Spain
| | - María Oneca
- Genbioma Aplicaciones SL, Polígono Industrial Noain-Esquiroz, Calle S, Nave 4, Esquíroz, Navarra, Spain
| | - Paula Aranaz
- Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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Juwita DA, Farinka R, Abdillah R, Rachmaini F. Blood pressure lowering effects of Vernonia amygdalina Del. Aqueous fraction on hypertensive Wistar Kyoto rats. JOURNAL OF COMPLEMENTARY & INTEGRATIVE MEDICINE 2023; 20:740-747. [PMID: 37831720 DOI: 10.1515/jcim-2022-0416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 09/20/2023] [Indexed: 10/15/2023]
Abstract
OBJECTIVES Vernonia amygdalina (VA) is a plant that consumed as vegetable by Indonesians contained numerous secondary metabolites. VA's pharmacological action, including its antioxidant properties, anticancer, antidiabetic, and hepatoprotective. The purpose of this research is to reveal the activity of Vernonia amygdalina. leafs aqueous fraction (VALAF) as a blood pressure-lowering agent in hypertensive model. METHODS Combination of prednisone and NaCl were used as hypertensive inducer. The animals were split into five different groups, normal control group treated with distilled water, treatment VALAF groups with dose of 10; 20 and 40 mg/kg BW respectively, while the last group was treated with captopril at dose of 2.25 mg/kg BW. All animals were given an oral treatment for 15 days. On days 5, 10, and 15, systolic and diastolic blood pressure, heart rate (HR), mean arterial pressure (MAP), and blood flow (BF) were all measured. On days 0 and 15, NO level were assessed. All data were analyzed using two-way ANOVA, and Duncan Multiple Range Test. RESULTS The V. amygdalina leaf aqueous fraction has blood pressure lowering activity. The blood pressure parameter of the rats treated with VALAF were lower as compared to the normal control group (p<0.05). NO levels in the VALAF group were not significantly higher than in the normal control group (p>0.05). The VALAF 20 give the greatest percentage of decrease in blood pressure, heart rate and blood volume on the 15th day of examination. CONCLUSIONS These study indicated that V. amygdalina leaf aqueous fraction has the potential to be an alternative therapy for managing blood pressure in hypertensive animal models.
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Affiliation(s)
- Dian Ayu Juwita
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Andalas, Padang, Indonesia
| | - Rindang Farinka
- Undergraduate Pharmacy Study Programme, Faculty of Pharmacy, Universitas Andalas, Padang, Indonesia
| | - Rahmad Abdillah
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Andalas, Padang, Indonesia
| | - Fitri Rachmaini
- Departement of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Andalas, Padang, Indonesia
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Araújo YB, Almeida ABR, Viana MFM, Meneguz-Moreno RA. Use of Atherogenic Indices as Assessment Methods of Clinical Atherosclerotic Diseases. Arq Bras Cardiol 2023; 120:e20230418. [PMID: 38126570 PMCID: PMC10789372 DOI: 10.36660/abc.20230418] [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: 06/22/2023] [Revised: 08/17/2023] [Accepted: 10/04/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Central illustration : Use of Atherogenic Indices as Assessment Methods of Clinical Atherosclerotic Diseases. BACKGROUND The search for clinically useful methods to assess atherosclerotic diseases (ASCVD) with good accuracy, low cost, non-invasiveness, and easy handling has been stimulated for years. Thus, the atherogenic indices evaluated in this study may fit this growing demand. OBJECTIVES To assess the potential of atherogenic indices to evaluate patients with clinical atherosclerosis. METHODS Single-center cross-sectional study, through which the Castelli I and II indices, the atherogenic index of plasma (AIP), the lipoprotein combine index, and the variation in the peripheral perfusion index between 90 and 120 seconds after an endothelium-dependent (ΔPI90-120) vasodilator stimulus were evaluated in the prediction of atherosclerosis. Statistical significance was set at p < 0.05. RESULTS The sample consisted of 298 individuals with an average age of 63.0±16.1 years, of which 57.4% were women. Paired comparisons of the ROC curve analysis of the indices that reached the area under the curve (AUC) > 0.6 show that ΔPI90-120 and AIP were superior to other indices, and no differences were observed between them (difference between AUC = 0.056; 95%CI -0.003-0.115). Furthermore, both the ΔPI90-120 [odds ratio (OR) 9.58; 95%CI 4.71-19.46)] and AIP (OR 5.35; 95%CI 2.30-12.45) were independent predictors of clinical atherosclerosis. CONCLUSIONS The AIP and ΔPI90-120 represented better accuracy in discriminating clinical ASCVD. Moreover, they were independent predictors of clinical ASCVD, evidencing a promising possibility for developing preventive and control strategies for cardiovascular diseases. Therefore, they are markers for multicenter studies from the point of view of practicality, low cost, and external validity.
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Affiliation(s)
- Yuri Barbosa Araújo
- Universidade Federal de SergipeDepartamento de Medicina de LagartoLagartoSEBrasilUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE – Brasil
| | - Ana Beatriz Rocha Almeida
- Universidade Federal de SergipeDepartamento de Medicina de LagartoLagartoSEBrasilUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE – Brasil
| | - Márcio Fellipe Menezes Viana
- Universidade Federal de SergipeDepartamento de Medicina de LagartoLagartoSEBrasilUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE – Brasil
| | - Rafael Alexandre Meneguz-Moreno
- Universidade Federal de SergipeDepartamento de Medicina de LagartoLagartoSEBrasilUniversidade Federal de Sergipe - Departamento de Medicina de Lagarto, Lagarto, SE – Brasil
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Díaz DE Terán T, González P, González M, Cerveró A, Nicolini A, Banfi P, Solidoro P, Napal JJ, Valero C. Risk factors in developing retinal vein occlusion in subject with obstructive sleep apnea. Minerva Med 2023; 114:825-831. [PMID: 35315633 DOI: 10.23736/s0026-4806.22.07989-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Patients with obstructive sleep apnea (OSA) have a higher risk of developing vascular diseases. In this study, we evaluated the clinical profile of patients with OSA who develop retinal vein occlusion (RVO) compared with a population of OSA patients without RVO. METHODS We analyzed patients with OSA diagnosed with RVO (21 cases; mean of age 61 years. range 44-87 years. 67% men), belonging to a large cohort of people with long-term follow-up for RVO (up to 12 years). We compared them with 21 patients with OSA, without RVO, matched by age and gender, selected from the Sleep Unit Registry (control group). RESULTS There were no differences in the prevalence of arterial hypertension (AHT) or Diabetes mellitus (DM), but the RVO patients presented a higher diastolic blood pressure compared to controls (87.6±12.6 mmHg vs. 77.9±10.1 mmHg respectively). The polygraphic parameters were similar in both groups. The Apnea-Hypopnea Index (IHA) similar in both groups (30.4±20.9 RVO vs. 33.7±22.1 controls). In addition, RVO patients had a less favorable lipid profile, with higher total cholesterol (218±52 mg/dL vs. 179±41 mg/dL), higher LDL cholesterol (139±47 mg/dL vs. 107±32 mg/dL) and higher atherogenic indices: LDL/HDL (2.78±0.95 RVO vs. 2.03±0.67 controls) and total cholesterol/HDL (4.37±1.08 vs. 3.45±0.84). Among the cases, 81% had peripheral RVO (superior temporal branch in 20 out of 21 cases) and 19% had central RVO. A percentage of 62% of the cases received intravitreal antiangiogenic therapy and dexamethasone implants and 33% received argon laser photocoagulation. CONCLUSIONS Poor control of cardiovascular risk factors, particularly dyslipidemias, in patients with OSA may lead to the development of this ocular complication.
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Affiliation(s)
- Teresa Díaz DE Terán
- Department of Internal Medicine, Marqués de Valdecilla University Hospital, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Cantabria University, Santander, Spain
| | - Paula González
- Department of Internal Medicine, Marqués de Valdecilla University Hospital, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Cantabria University, Santander, Spain
| | - Mónica González
- Department of Internal Medicine, Marqués de Valdecilla University Hospital, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Cantabria University, Santander, Spain
| | - Andrea Cerveró
- Department of Ophthalmology, Marqués de Valdecilla University Hospital, Santander, Spain
| | | | | | - Paolo Solidoro
- Division of Respiratory Diseases, Department of Cardiovascular and Thoracic Medicine, Città della Salute e della Scienza, Turin, Italy
| | - José J Napal
- Department of Internal Medicine, Marqués de Valdecilla University Hospital, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Cantabria University, Santander, Spain
| | - Carmen Valero
- Department of Internal Medicine, Marqués de Valdecilla University Hospital, Instituto de Investigación Sanitaria Valdecilla (IDIVAL), Cantabria University, Santander, Spain -
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Mogna-Peláez P, Romo-Hualde A, Riezu-Boj JI, Milagro FI, Muñoz-Prieto D, Herrero JI, Elorz M, Benito-Boillos A, Monreal JI, Tur JA, Martínez A, Abete I, Zulet MA. Isoliquiritigenin in combination with visceral adipose tissue and related markers as a predictive tool for nonalcoholic fatty liver disease. J Physiol Biochem 2023:10.1007/s13105-023-00998-6. [PMID: 37996653 DOI: 10.1007/s13105-023-00998-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 11/15/2023] [Indexed: 11/25/2023]
Abstract
Nonalcoholic fatty liver disease (NAFLD) is the most prevalent form of chronic liver disease in the world. New non-invasive diagnostic tools are needed to promptly treat this disease and avoid its complications. This study aimed to find key metabolites and related variables that could be used to predict and diagnose NAFLD. Ninety-eight subjects with NAFLD and 45 controls from the Fatty Liver in Obesity (FLiO) Study (NCT03183193) were analyzed. NAFLD was diagnosed and graded by ultrasound and classified into two groups: 0 (controls) and ≥ 1 (NAFLD). Hepatic status was additionally assessed through magnetic resonance imaging (MRI), elastography, and determination of transaminases. Anthropometry, body composition (DXA), biochemical parameters, and lifestyle factors were evaluated as well. Non-targeted metabolomics of serum was performed with high-performance liquid chromatography coupled to time-of-flight mass spectrometry (HPLC-TOF-MS). Isoliquiritigenin (ISO) had the strongest association with NAFLD out of the determinant metabolites. Individuals with higher concentrations of ISO had healthier metabolic and hepatic status and were less likely to have NAFLD (OR 0.13). Receiver operating characteristic (ROC) curves demonstrated the predictive power of ISO in panel combination with other NAFLD and IR-related variables, such as visceral adipose tissue (VAT) (AUROC 0.972), adiponectin (AUROC 0.917), plasmatic glucose (AUROC 0.817), and CK18-M30 (AUROC 0.810). Individuals with lower levels of ISO have from 71 to 82% more risk of presenting NAFLD compared to individuals with higher levels. Metabolites such as ISO, in combination with visceral adipose tissue, IR, and related markers, constitute a potential non-invasive tool to predict and diagnose NAFLD.
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Affiliation(s)
- Paola Mogna-Peláez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Ana Romo-Hualde
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - José I Riezu-Boj
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
| | - Fermin I Milagro
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - David Muñoz-Prieto
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - José I Herrero
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Liver Unit, Clínica Universidad de Navarra, 31008, Pamplona, Spain
- Biomedical Research Centre Network in Hepatic and Digestive Diseases (CIBERehd), 28029, Madrid, Spain
| | - Mariana Elorz
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Alberto Benito-Boillos
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Department of Radiology, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - J Ignacio Monreal
- Clinical Chemistry Department, Clínica Universidad de Navarra, 31008, Pamplona, Spain
| | - Josep A Tur
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands, 07122, Palma, Spain
| | - Alfredo Martínez
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - Itziar Abete
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - M Angeles Zulet
- Department of Nutrition, Food Sciences and Physiology and Centre for Nutrition Research, Faculty of Pharmacy and Nutrition, Centre for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain.
- Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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Zheng H, Wu K, Wu W, Chen G, Chen Z, Cai Z, Cai Z, Lan Y, Wu S, Chen Y. Relationship between the cumulative exposure to atherogenic index of plasma and ischemic stroke: a retrospective cohort study. Cardiovasc Diabetol 2023; 22:313. [PMID: 37968612 PMCID: PMC10652447 DOI: 10.1186/s12933-023-02044-7] [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: 09/19/2023] [Accepted: 10/25/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP) has been demonstrated as a surrogate marker for ischemic stroke, but there is limited evidence for the effect of long-term elevation of AIP on ischemic stroke. Therefore, we aimed to characterize the relationship between cumulative exposure to AIP and the risk of ischemic stroke. METHODS A total of 54,123 participants in the Kailuan Study who attended consecutive health examinations in 2006, 2008, and 2010 and had no history of ischemic stroke or cancer were included. The time-weighted cumulative AIP (cumAIP) was calculated as a weighted sum of the mean AIP values for each time interval and then normalized to the total duration of exposure (2006-2010). Participants were divided into four groups according to quartile of cumAIP: the Q1 group, ≤-0.50; Q2 group, - 0.50 to - 0.12; Q3 group, - 0.12 to 0.28; and Q4 group, ≥ 0.28. Cox proportional hazard models were used to evaluate the relationship between cumAIP and ischemic stroke by calculating hazard ratios (HRs) and 95% confidence intervals (95% CIs). RESULTS After a median follow-up of 11.03 years, a total of 2,742 new ischemic stroke events occurred. The risk of ischemic stroke increased with increasing quartile of cumAIP. After adjustment for potential confounders, Cox regression models showed that participants in the Q2, Q3, and Q4 groups had significantly higher risks of ischemic stroke than those in the Q1 group. The HRs (95% CIs) for ischemic stroke in the Q2, Q3, and Q4 groups were 1.17 (1.03, 1.32), 1.33 (1.18, 1.50), and 1.45 (1.28, 1.64), respectively. The longer duration of high AIP exposure was significantly associated with increased ischemic stroke risk. CONCLUSIONS High cumulative AIP is associated with a higher risk of ischemic stroke, which implies that the long-term monitoring and maintenance of an appropriate AIP may help prevent such events.
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Affiliation(s)
- Huancong Zheng
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Kuangyi Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Weiqiang Wu
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Guanzhi Chen
- Cardiac Arrhythmia Center, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zekai Chen
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Zefeng Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiwei Cai
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Shantou University Medical College, Shantou, China
| | - Yulong Lan
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China
- Centre for Precision Health, Edith Cowan University School of Medical and Health Sciences, Joondalup, Australia
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, China.
| | - Youren Chen
- Department of Cardiology, Second Affiliated Hospital of Shantou University Medical College, Shantou, China.
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Park S, Kim I, Han SJ, Kwon S, Min EJ, Cho W, Koh H, Koo BN, Lee JS, Kwon JS, Seo KY, Ha JW, Park YM. Oral Porphyromonas gingivalis infection affects intestinal microbiota and promotes atherosclerosis. J Clin Periodontol 2023; 50:1553-1567. [PMID: 37621247 DOI: 10.1111/jcpe.13864] [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: 07/22/2022] [Revised: 06/19/2023] [Accepted: 08/01/2023] [Indexed: 08/26/2023]
Abstract
AIM The link between periodontitis and intestinal dysbiosis, two factors that contribute to atherosclerosis, has not been clearly defined. We investigated the integrative effects of oral infection with Porphyromonas gingivalis (PG), the major pathogen for periodontitis, on intestinal microbiota and atherosclerosis. MATERIALS AND METHODS ApoE-/- mice were fed a normal chow diet (NC), a Western diet (WD) or a WD with oral PG infection (PG). The PG infection was investigated by placing a total of 109 CFUs of live PG into the oral cavity of each mouse using a feeding needle five times a week for 3 weeks. Atherosclerotic lesions of the aortae were measured, and blood lipoproteins and the expression of molecules related to lipid metabolism in the liver were analysed. We also performed 16S RNA sequencing and a microbiome analysis using faeces. RESULTS En face bloc preparation of the aortae showed that the PG group had a 1.7-fold increase in atherosclerotic lesions compared with the WD group (p < .01). Serum analyses showed that oral PG infection induced a significant decrease in high-density lipoprotein (HDL) and triglyceride. Western blots of hepatic tissue lysates revealed that PG infection reduced the expression of scavenger receptor class B type 1 (SR-B1) in the liver by 50%. Faecal microbiota analysis revealed that species richness estimates (Chao1, ACE) decreased immediately after PG infection. PG infection also induced a significant decrease in Shannon diversity and an increase in Simpson's indices in the WD-fed mice. PG infection significantly increased the phyla Actinobacteria and Deferribacteres, along with the species Mucispirillum schaedleri and Lactobacillus gasseri, in the mice. The functional study showed that PG infection increased the expression of proteins that function in carbohydrate and glucose metabolism, including phosphotransferase system (PTS) proteins and the GntR family transcriptional regulator. CONCLUSIONS Oral PG infection promotes atherosclerosis and induces significant metabolic changes, including reduced serum HDL and reduced hepatic SR-B1 and ABCA1 expression, as well as changes in intestinal microbiota. Our study suggests that intestinal dysbiosis accompanies periodontitis and could play a role in atherosclerosis.
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Affiliation(s)
- Sowon Park
- Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Inyoung Kim
- Department of Molecular Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Soo Jung Han
- Department of Ophthalmology, Institute of Vision Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Soyeon Kwon
- Department of Molecular Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Eun-Ji Min
- Department of Molecular Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Wonkyoung Cho
- Department of Molecular Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Hong Koh
- Department of Pediatrics, Severance Children's Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - Bon-Nyeo Koo
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Jung Seok Lee
- Department of Periodontics, Yonsei University College of Dentistry, Seoul, South Korea
| | - Jae-Sung Kwon
- Department and Research Institute of Dental Biomaterials and Bioengineering, Yonsei University College of Dentistry, Seoul, South Korea
| | - Kyoung Yul Seo
- Department of Ophthalmology, Institute of Vision Research, Yonsei University College of Medicine, Seoul, South Korea
| | - Jong-Won Ha
- Cardiology Division, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Mi Park
- Department of Molecular Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
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Boos CJ, Schofield S, Bull AMJ, Fear NT, Cullinan P, Bennett AN. The relationship between combat-related traumatic amputation and subclinical cardiovascular risk. Int J Cardiol 2023; 390:131227. [PMID: 37527753 DOI: 10.1016/j.ijcard.2023.131227] [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: 03/13/2023] [Revised: 06/06/2023] [Accepted: 07/28/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND The relationship between acute combat-related traumatic injury (CRTI) to coronary flow reserve (CFR) and subclinical cardiovascular risk have not been examined and was the primary aim of this study. METHODS AND RESULTS UK combat veterans from the ADVANCE cohort study (UK-Afghanistan War 2003-14) with traumatic limb amputations were compared to injured non-amputees and to a group of uninjured veterans from the same conflict. Subclinical cardiovascular risk measures included fasted blood atherogenic index of plasma (AIP), triglyceride-glucose index (TyG; insulin resistance), the neutrophil-lymphocyte ratio (NLR) and high-sensitivity C-reactive protein (hs-CRP; vascular inflammation), body mass index (BMI) and visceral fat volume (dual-energy X-ray absorptiometry) and 6-min walk distance (6MWD; physical performance). The subendocardial viability ratio (SEVR), to estimate CFR, was calculated using arterial pulse waveform analysis (Vicorder device). In total 1144 adult male combat veterans were investigated, comprising 579 injured (161 amputees, 418 non-amputees) and 565 uninjured men. AIP, TyG, NLR, hs-CRP, BMI, total body fat and visceral fat volume were significantly higher and the SEVR and 6MWD significantly lower in the amputees versus the injured-non-amputees and uninjured groups. The SEVR was lowest in those with above knee and multiple limb amputations. CRTI (ExpB 0.96; 95% CI 0.94-0.98: p < 0.0001) and amputation (ExpB 0.94: 95% CI 0.91-0.97: p < 0.0001) were independently associated with lower SEVR after adjusting for age, rank, ethnicity and time from injury. CONCLUSION CRTI, traumatic amputation and its worsening physical deficit are associated with lower coronary flow reserve and heightened subclinical cardiovascular risk.
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Affiliation(s)
- Christopher J Boos
- Academic Department of Military Rehabilitation, Defence Medical Rehabilitation Centre, Stanford Hall Estate, Near Loughborough, Nottinghamshire LE12 5QW, United Kingdom of Great Britain and Northern Ireland; The Academic Department of Military Mental Health, King's College London, SE5 9RJ, United Kingdom of Great Britain and Northern Ireland; Faculty of Health & Social Sciences, Bournemouth University, Bournemouth BH1 3LT, United Kingdom of Great Britain and Northern Ireland; Department of Cardiology, University Hospitals Dorset, Poole Hospital, Poole BH15 2JB, United Kingdom of Great Britain and Northern Ireland.
| | - Susie Schofield
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, SW3 6LR, United Kingdom of Great Britain and Northern Ireland
| | - Anthony M J Bull
- Centre for Blast Injury Studies, Department of Bioengineering, Imperial College London, SW7 2AZ, United Kingdom of Great Britain and Northern Ireland
| | - Nicola T Fear
- The Academic Department of Military Mental Health, King's College London, SE5 9RJ, United Kingdom of Great Britain and Northern Ireland
| | - Paul Cullinan
- National Heart and Lung Institute, Faculty of Medicine, Imperial College London, SW3 6LR, United Kingdom of Great Britain and Northern Ireland
| | - Alexander N Bennett
- Academic Department of Military Rehabilitation, Defence Medical Rehabilitation Centre, Stanford Hall Estate, Near Loughborough, Nottinghamshire LE12 5QW, United Kingdom of Great Britain and Northern Ireland; National Heart and Lung Institute, Faculty of Medicine, Imperial College London, SW3 6LR, United Kingdom of Great Britain and Northern Ireland
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Ren J, Yao G, Ren L, Wang Y, Gao J, Zhang Y. Exploring the Associations Between Non-Traditional Lipid Parameters and Epicardial Adipose Tissue Volume. Angiology 2023:33197231207264. [PMID: 37843829 DOI: 10.1177/00033197231207264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2023]
Abstract
The aim of this retrospective study was to determine the relationship between non-traditional lipid parameters and epicardial adipose tissue (EAT). A total of 770 patients with coronary computed tomography angiography examinations were included. The non-traditional lipid parameters included the atherogenic index of plasma (AIP), the atherogenic coefficient (AC), monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR), and lipoprotein combined index (LCI). To investigate the association between non-conventional lipid markers and the EAT-volume (EAT-v), a univariate and multivariate analyses were conducted. The receiver operating characteristic (ROC) analysis was used to compare the predictive ability among the four non-traditional lipid parameters. In the univariate analysis, we identified factors that might have effects on EAT-v (all P<.05) and adjusted for these in the multivariate analysis. We found that except for MHR, other non-traditional lipid parameters were still associated with high EAT-v after adjustment (all P<.05). In the ROC analysis, the area under the curve (AUC) of AIP was greater than that of other non-traditional lipid parameters and lipid profiles. There was an association between both non-traditional lipid parameters and EAT-v. After adjustment, the AIP remained an independent predictor of EAT-v and it outperformed other non-traditional lipid parameters.
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Affiliation(s)
- Junli Ren
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guang Yao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lichen Ren
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yiran Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yonggao Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Ergun G, Demirelli S. Which Biomarker(s) Augment the Diagnostic Value of the Positive Exercise Electrocardiography Test: Systemic Inflammatory Index, Plasma Atherogenic Index, or Monocyte/HDL-C Ratio? J Clin Med 2023; 12:6440. [PMID: 37892579 PMCID: PMC10607748 DOI: 10.3390/jcm12206440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 09/30/2023] [Accepted: 10/08/2023] [Indexed: 10/29/2023] Open
Abstract
The exercise electrocardiography test (EET) is still used before coronary angiography in the diagnosis of chronic coronary syndromes. This study aimed to demonstrate the value of the combination of a positive EET with the systemic inflammatory index (SII), the plasma atherogenic index (PAI), and the monocyte/HDL-C ratio (MHR) in the determination of obstructive coronary artery disease (CAD). This single-center, retrospective study included 540 patients who underwent coronary angiography after ETT. The patients were separated into Group 1, comprising 434 patients with normal coronary arteries and non-obstructive CAD, and Group 2, including 106 with obstructive CAD. In Group 2, the patients were separated into SYNTAX ≤ 22 or ≥23. Glucose, low-density lipoprotein, white blood cells, and MHR were determined to be significantly higher in Group 2 (p < 0.05). According to the multivariate logistic regression analysis, age, gender, diabetes mellitus, and low-density lipoprotein were determined to be independent predictors of CAD. In the ROC curve analysis, a cut-off value of 12 for the MHR in the determination of obstructive CAD had a sensitivity of 60.4% and a specificity of 53.0%. The main result of this study was that a high MHR is an indicator of obstructive CAD in patients with positive EET and suspected CAD.
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Affiliation(s)
- Gokhan Ergun
- Department of Cardiology, Kayseri City Training and Research Hospital, 38080 Kayseri, Turkey;
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Zou Y, Tang J, Zhang F, Chen D, Mu L, Xu H, Yu P, Ren Y, Mei Y, Mu L. Effect of low-sodium salt applied to Chinese modified DASH diet on arterial stiffness in older patients with hypertension and type 2 diabetes. NUTR HOSP 2023; 40:967-974. [PMID: 37534516 DOI: 10.20960/nh.04622] [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] [Indexed: 08/04/2023] Open
Abstract
Introduction Background and purpose: the Dietary Approaches to Stop Hypertension (DASH) diet has multifunctional health benefits. We evaluated the effects of low-sodium salt applied to Chinese modified DASH diet on arterial stiffness in older patients with hypertension and type 2 diabetes. Methods: sixty-one older adults with hypertension and type 2 diabetes were randomly allocated to low sodium salt group (n = 31) or normal sodium salt group (n = 30). They were given the Chinese modified DASH diet plus low-sodium salt (52 % sodium chloride) or same diet plus regular salt (99 % sodium chloride) for eight weeks, respectively. Brachial and ankle pulse wave conduction velocity, ankle brachial index and atherosclerosis-related indices were measured at baseline and week 8. In addition, 24-hour urine and blood samples were measured at baseline, the 4th week and the end of the intervention. Results: as compared with the baseline, the low sodium salt group significantly decreased in ankle brachial index (-0.09 ± 0.11, p < 0.001) and brachial and ankle pulse wave conduction velocity (-133.07 ± 265.99 cm/s, p = 0.010) at week 8 while the normal sodium salt group only decreased significantly in ankle brachial index (-0.06 ± 0.12, p = 0.010) at week 8. Conclusion: the low-sodium salt applied to Chinese modified DASH diet may improve arterial stiffness in patients with hypertension and type 2 diabetes. Further research with an extended follow-up is needed.
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Affiliation(s)
- Yujia Zou
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Jie Tang
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Fan Zhang
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Dan Chen
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Lisha Mu
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Huini Xu
- Chongqing Nan'an District People's Hospital
| | - Pingping Yu
- Health Management Center of the Second Affiliated Hospital of Chongqing Medical University
| | - Yanni Ren
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
| | - Ying Mei
- Health Management Center of the Second Affiliated Hospital of Chongqing Medical University
| | - Lihong Mu
- Department of Epidemiology. School of Public Health. Research Center for Medicine and Social Development. Chongqing Medical University
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Chun DW, Lee YJ, Lee JH, Lee JW. Longitudinal trajectories of atherogenic index of plasma and risks of cardiovascular diseases: results from the Korean genome and epidemiology study. Thromb J 2023; 21:99. [PMID: 37723571 PMCID: PMC10506251 DOI: 10.1186/s12959-023-00542-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/07/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Although the atherogenic index of plasma (AIP) based on a single measurement is a known risk factor for cardiovascular disease (CVD), little is known about whether changes in AIP over time are related to incident CVD. We aimed to determine whether AIP trajectory, which reflects homogenous AIP trends for a particular period, is associated with CVD risk. METHODS Data from 5,843 participants of the Korean Genome and Epidemiology Study (KoGES) were analyzed. The KoGES had been conducted biennially from the baseline survey (2001-2002) to the eighth follow-up survey (2017-2018). The research design specifies the exposure period from baseline to the third follow-up, designates the latent period at the fourth follow-up, and establishes the event accrual period from the fifth to the eighth follow-up. During the exposure period, we identified two trajectories: a decreasing (n = 3,036) and an increasing group (n = 2,807) using latent variable mixture modeling. Information on CVD was collected initially through the self-reporting, followed by in depth person-to-person interview conducted by a well-trained examiner. During the event accrual period, the cumulative incidence rates of CVD between the two AIP trajectory groups were estimated using Kaplan-Meier analysis with the log-rank test. Multiple Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS The increasing AIP trajectory group had a significantly higher cumulative incidence rate of CVD than the decreasing AIP trajectory group. Compared to the decreasing AIP trajectory group, the increasing AIP trajectory group had a higher risk of incident CVD (HR: 1.31, 95% CI: 1.02-1.69) after adjusting for confounders. CONCLUSIONS The risk of incident CVD increased when the AIP level showed an increasing trend and remained high over a long period. This suggests that checking and managing the trajectory of the AIP can be a preventive strategy for incident CVD.
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Affiliation(s)
- Dong-Wook Chun
- Department of Family Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Yae-Ji Lee
- Department of Biostatistics and Computing, Yonsei University, Seoul, 03722, Republic of Korea
| | - Jun-Hyuk Lee
- Department of Family Medicine, Nowon Eulji Medical Center, Eulji University School of Medicine, 68 Hangeulbiseok-ro, Nowon-gu, Seoul, 01830, Republic of Korea.
- Department of Medicine, Hanyang University School of Medicine, Seoul, 04763, Republic of Korea.
| | - Ji-Won Lee
- Department of Family Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, 06237, Republic of Korea.
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49
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Duiyimuhan G, Maimaiti N. The association between atherogenic index of plasma and all-cause mortality and cardiovascular disease-specific mortality in hypertension patients: a retrospective cohort study of NHANES. BMC Cardiovasc Disord 2023; 23:452. [PMID: 37697281 PMCID: PMC10496369 DOI: 10.1186/s12872-023-03451-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/14/2023] [Indexed: 09/13/2023] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP), a marker of atherosclerosis and cardiovascular disease (CVD), was related to the all-cause mortality and CVD-specific mortality in a U-shape in general population respectively. However, no studies have investigated these associations in hypertensive populations. Herein, this study aims to explore the relationship of AIP and all-cause mortality and CVD-specific mortality in patients with hypertension in order to provide some reference for the risk hierarchical management of hypertension. METHODS Demographic and clinical data of 17,382 adult patients with hypertension were extracted from the National Health and Nutrition Examination Survey (NHANES) database in 2005-2018 in this retrospective cohort study. We used weighted univariate COX regression analysis to screen the covariates, and that weighted univariate and multivariate COX regression analyses to explore the association between AIP and all-cause mortality and CVD-specific mortality with hazard ratios (HRs) and 95% confidence intervals (CIs). Subgroup analyses of age, gender, body mass index (BMI), CVD, diabetes mellitus (DM), antihyperlipidemic agents use, and hypotensive drugs use were also performed for further exploration of these relationships. RESULTS The average follow-up time was 97.10 months. A total of 2,844 patients died, and 971 of them died due to CVD. After adjusting for age, race, education level, marital status, poverty-income ratio (PIR), smoking, BMI, physical activity, antihyperlipidemic agents, DM, CVD, hypotensive drugs, estimated glomerular filtration rate (eGFR), and total energy intake, we found that both low [HR = 1.18, 95%CI: (1.07-1.32)] and high [HR = 1.17, 95%CI: (1.03-1.33)] levels of AIP were linked to an increased risk of all-cause mortality, and the U-shape association between AIP and CVD-specific mortality was also found [low AIP level: HR = 1.26, 95%CI: (1.05-1.51); high AIP level: HR = 1.26, 95%CI: (1.06-1.49)]. Furthermore, these relationships were existed in patients whose BMI > 25, were non-Hispanic White, with non-CVD, non-DM, non-antihyperlipidemic agents, and used hypertension drug (all P < 0.05). CONCLUSION AIP was associated with both all-cause mortality and CVD-specific mortality in patients with hypertension, but the specific role of AIP in prognosis in hypertensive populations is needed further exploration.
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Affiliation(s)
- Gulinuer Duiyimuhan
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, No.91 Tianchi Road, Tianshan District, 830001, Urumqi, P.R. China.
| | - Nuerguli Maimaiti
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, No.91 Tianchi Road, Tianshan District, 830001, Urumqi, P.R. China
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50
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Zhang Y, Chen S, Tian X, Wang P, Xu Q, Xia X, Zhang X, Li J, Liu F, Wu S, Wang A. Association between cumulative atherogenic index of plasma exposure and risk of myocardial infarction in the general population. Cardiovasc Diabetol 2023; 22:210. [PMID: 37592247 PMCID: PMC10436658 DOI: 10.1186/s12933-023-01936-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 07/22/2023] [Indexed: 08/19/2023] Open
Abstract
BACKGROUND Atherogenic index of plasma (AIP) has been confirmed as a novel marker for myocardial infarction (MI), but few evidence on the long-term AIP and MI risk in general populations. We thus aimed to evaluate the relationships of cumulative exposure to AIP and its accumulation time course with the risk of MI. METHODS A total of 54,440 participants were enrolled in the Kailuan study. Time-weighted cumulative AIP was calculated as the weighted sum of the mean AIP value for each time interval, then normalized by total exposure duration, the exposure duration was from 2006 to 2010. Duration of high AIP exposure was defined as the duration with high AIP and ranged from 0 to 6 years. The time course of AIP accumulation was categorized by the combination of time-weighted cumulative AIP < or ≥ median (- 0.12) and AIP slope. RESULTS After 11.05 years of follow-up, 766 incident MI cases were documented. After adjustment for potential confounders, higher risk of MI was observed in participants with the highest time-weighted cumulative AIP quartile (HR, 1.89; 95% CI 1.47-2.43), the longest exposure duration of high AIP (HR, 1.52; 95% CI 1.18-1.95), and those with high time-weighted cumulative AIP and negative slope (HR, 1.42; 95% CI 1.13-1.79). CONCLUSIONS Long-term cumulative exposure to AIP and the time course of AIP accumulation increased the risk of MI. High AIP earlier resulted in a greater risk increase than later in life with the same time-weighted cumulative AIP, emphasizing the importance of controlling atherogenic dyslipidemia early in life.
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Affiliation(s)
- Yijun Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qin Xu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xue Xia
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Xiaoli Zhang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Jing Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China
| | - Fen Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No.10 Xitoutiao, You'anmen Wai, Fengtai District, Beijing, 100069, China.
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No. 119 S 4th Ring W Rd, Fengtai District, Beijing, 100070, China.
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Clinical Epidemiology and Clinical Trial, Capital Medical University, Beijing, China.
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