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Xu G, Song J. The Association Between the Triglyceride to High-Density Lipoprotein Cholesterol Ratio and the Incidence of Type 2 Diabetes Mellitus in the Japanese Population. Metab Syndr Relat Disord 2024; 22:471-478. [PMID: 38593410 DOI: 10.1089/met.2023.0314] [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: 04/11/2024] Open
Abstract
Abstract Aims: To explore whether the triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) was independently associated with the risk of incident type 2 diabetes mellitus (T2DM) in a large Japanese cohort. Methods: A secondary analysis was performed using open-access data from a retrospective cohort study. A total of 12,716 eligible participants who had standard medical examinations at the Murakami Memorial Hospital were included in this study. New-onset T2DM was the main outcome during follow-up. The risk of T2DM based on the TG/HDL-C ratio was evaluated using Cox regression analysis and Kaplan-Meier analysis. Subgroup analysis was performed to understand further the significance of the TG/HDL-C ratio in particular populations. To assess the potential of the TG/HDL-C ratio for predicting T2DM, a receiver operating characteristic (ROC) analysis was performed. Results: One hundred fifty new-onset T2DM cases were observed during a median follow-up of 5.39 years. The incidence of T2DM increased with a rise in the TG/HDL-C ratio based on the Kaplan-Meier curves (P < 0.0001). After controlling for potential confounding variables, the TG/HDL-C ratio was positively related to incidence of T2DM (hazard ratio = 1.08, 95% confidence interval: 1.01-1.15, P = 0.0239). In subgroup analysis, those with a body mass index of ≥18.5 and <24 kg/m2 showed a significantly positive relationship. The area under the ROC curve for the TG/HDL-C ratio as a T2DM predictor was 0.684. The optimal TG/HDL-C ratio cutoff value for T2DM was 1.609, with a sensitivity of 54.7% and a specificity of 73.6%. Conclusion: The authors' results showed a significant relationship between the TG/HDL-C ratio and the incidence of T2DM in the Japanese population.
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Affiliation(s)
- Guojuan Xu
- Department of Cardiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jing Song
- Department of Cardiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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Xu X, Luo S, Lin J, Zhou J, Zheng L, Yang L, Zhang Z, Dong Y, Ma M, Li H, Lin S, Xie X, Luo J, Wu S. Association between maternal lipid profiles and lipid ratios in early to middle pregnancy as well as their dynamic changes and gestational diabetes mellitus. BMC Pregnancy Childbirth 2024; 24:510. [PMID: 39075387 PMCID: PMC11285337 DOI: 10.1186/s12884-024-06692-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 07/10/2024] [Indexed: 07/31/2024] Open
Abstract
BACKGROUND Unfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between lipid profiles, lipid ratios and GDM during pregnancy. AIMS To prospectively investigate the relationship between lipid profile and lipid ratios in early and mid-pregnancy and their pattern of change from early to mid-pregnancy and the risk of GDM. METHODS This nested case-control study was based on maternal and child healthcare hospitals from Fujian Province, China. We included pregnant women who delivered in the hospital from January 2021 to June 2023. Lipid profiles (TC, TG, ApoA1, ApoB, HDL-c, LDL-c) and fasting glucose were measured before 14 weeks of gestation and between 20 and 28 weeks of gestation, and lipid ratios (triglyceride glucose index, TG/HDL-c and TC/HDL-c) was constructed. Logistic regression was used to assess the relationship between lipid profile, lipid ratios and GDM. RESULTS Of 1586 pregnant women, 741 were diagnosed with GDM. After adjusting for potential confounders, TG, ApoA1, ApoB, LDL-c, triglyceride glucose index, TG/HDL-c, and TC/HDL-c in early pregnancy were positively associated with the risk of GDM (odds ratios [95% CI] for extreme interquartile comparisons were 2.040 (1.468-2.843), 1.506 (1.091-2.082), 1.529 (1.110-2.107), 1.504 (1.086-2.086), 1.952 (1.398-2.731), 2.127 (1.526-2.971), and 2.370 (1.700-3.312), all trend P < 0.05). HDL-c was negatively associated with the risk of GDM (0.639: 0.459-0.889, trend P all less than 0.05). Similarly, in mid-pregnancy, lower levels of HDL-c, higher levels of triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio were associated with increased risk of GDM (all trends P < 0.05). Stably high levels (both ≥ median for early and mid-pregnancy) of triglyceride glucose index, TG/HDL-c and TC/HDL-c were associated with increased risk of GDM (OR [95% CI]: 2.369 (1.438-3.940), 1.588 (1.077-2.341), 1.921 (1.309-2.829), respectively). The opposite was true for HDL-c, where stable high levels were negatively associated with GDM risk (OR [95% CI]: 0.599 (0.405-0.883)). CONCLUSION Increases in triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio in early and mid-pregnancy, as well as their stable high levels from early to mid-pregnancy, are associated with a higher risk of GDM. In contrast, increased levels of HDL-c, both in early and mid-pregnancy, and their stable high levels from early to mid-pregnancy were associated with a lower risk of GDM. That highlighted their possible clinical relevance in identifying those at high risk of GDM.
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Affiliation(s)
- Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Suping Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Jie Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
- The Second Attached Hospital of Fujian Medical University, Quanzhou, 362000, China
| | - Jungu Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Liuyan Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Zhiyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Yuting Dong
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Mei Ma
- Department of Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 350122, China
| | - Shaowei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China
| | - Xiaoxu Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China.
| | - Jinying Luo
- Department of Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, 350001, China.
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, Fujian, China.
- Department of Epidemiology and Health Statistics, the Key Laboratory of Environment and Health among Universities and Colleges in Fujian, School of Public Health, Fujian Medical University, Minhou County, Fuzhou, 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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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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Wang Z, Wu M, Du R, Tang F, Xu M, Gu T, Yang Q. The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and hyperuricaemia. Lipids Health Dis 2024; 23:187. [PMID: 38907262 PMCID: PMC11191326 DOI: 10.1186/s12944-024-02171-4] [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: 02/16/2024] [Accepted: 05/31/2024] [Indexed: 06/23/2024] Open
Abstract
PURPOSE The ratio of non-high-density lipoprotein cholesterol (non-HDL-c) to high-density lipoprotein cholesterol (HDL-c) (NHHR) is a novel comprehensive lipid index. The aim of this study was to investigate the relationship between the NHHR and the prevalence of hyperuricaemia (HUA) in the adult population of the U.S. METHODS This cross-sectional study collected data from the National Health and Nutrition Examination Survey (NHANES) (2007-2018). HUA was defined as a serum uric acid (SUA) concentration ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Multivariate logistic regression models and the restricted cubic spline (RCS) method were applied to examine the relationship between the NHHR and the risk of developing HUA. Subgroup analyses and interaction tests were also performed. RESULTS The prevalence of HUA increased with increasing NHHR values (9.01% vs. 13.38% vs. 17.31% vs. 25.79%, P < 0.001). The NHHR was independently correlated with the risk of developing HUA (OR = 1.10, 95% CI: 1.05-1.16; P < 0.001). Furthermore, the risk of developing HUA was significantly greater among individuals with the highest NHHR quartile than among those with the lowest NHHR quartile (OR = 1.94, 95% CI: 1.62-2.33; P < 0.001). This relationship was consistent across subgroups. According to the RCS analysis, an inverted U-shaped relationship existed between the NHHR and the risk of developing HUA. CONCLUSIONS The NHHR was closely associated with an increased risk of developing HUA. Further studies on the NHHR could be beneficial for preventing and treating HUA.
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Affiliation(s)
- Zhaoxiang Wang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, China
| | - Menghuan Wu
- Department of Cardiology, Xuyi People's Hospital, Xuyi, Jiangsu, 211700, China
| | - Ruiqin Du
- Department of Endocrinology, PLA Rocket Force Characteristic Medical Center, Beijing, 100088, China
| | - Fengyan Tang
- Department of Endocrinology, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, Jiangsu, 215300, China
| | - Mengjiao Xu
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China
| | - Tian Gu
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China
| | - Qichao Yang
- Department of Endocrinology, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, 213017, China.
- Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Changzhou, Jiangsu, 213017, China.
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Ma N, Bai L, Lu Q. First-Trimester Triglyceride-Glucose Index and Triglyceride/High-Density Lipoprotein Cholesterol are Predictors of Gestational Diabetes Mellitus Among the Four Surrogate Biomarkers of Insulin Resistance. Diabetes Metab Syndr Obes 2024; 17:1575-1583. [PMID: 38616992 PMCID: PMC11015049 DOI: 10.2147/dmso.s454826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/23/2024] [Indexed: 04/16/2024] Open
Abstract
Purpose This study seeks to assess the potential of early pregnancy Triglyceride Glucose Index (TyG), triglyceride to High-Density Lipoprotein Cholesterol ratio (TG/HDL-c), Low-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol ratio (LDL-C/HDL-C), and Total Cholesterol to High-Density Lipoprotein Cholesterol ratio (TC/HDL-C) in predicting Gestational Diabetes Mellitus (GDM). Patients and Methods A total of 1073 adults singleton pregnant women were enrolled from June 2017 to September 2019. Complete anthropometric data and lipid profiles were measured in the first trimester (before 12 weeks gestation) and a 75g oral glucose tolerance test (OGTT) at 24-28 weeks was performed. Based on OGTT results, participants were categorised into Normal Glucose Tolerance (NGT) group (n=872) and GDM group (n=201). General data, laboratory test results, and surrogate insulin resistance indicators such as TyG index, TG/HDL-C, LDL-C/HDL-C, and TC/HDL-C were documented and compared. To compare differences between the two groups, t-test was used, Spearman correlation analysis and linear regression analysis were performed to establish associations between these indicators and insulin resistance in GDM. Receiver Operating Characteristic (ROC) curves were generated to compare the thresholds of these indicators for predicting GDM during pregnancy and to quantify overall diagnostic accuracy. Results Individuals with GDM had higher TyG, TG/HDL-C, and LDL-C/HDL-C levels (P < 0.001), but with no significant difference observed in TC/HDL-C. All four ratios were positively correlated with Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), yet only TyG emerged as an independent risk factor for HOMA-IR. The Area under the Curve (AUC) of TyG index (0.692) was comparable to that of HOMA-IR (0.703). The cut-off points for TyG index, TG/HDL-C, and HOMA-IR in predicting GDM were 7.088, 0.831, and 1.8, respectively. HOMA-IR exhibited the highest sensitivity (79.1%), while TyG index (64.3%) and TG/HDL-C ratio (64.3%) demonstrated better specificity compared to HOMA-IR (56.3%). LDL-C/HDL-C and TC/HDL-C offered no discernible predictive advantage. Conclusion Early pregnancy TyG index and TG/HDL-C can aid in identifying pregnant women at risk for GDM, potentially facilitating early and effective intervention to improve prognosis. TyG index exhibited superior predictive capability compared to TG/HDL-C.
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Affiliation(s)
- Ning Ma
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, Qinhuangdao, 066000, People’s Republic of China
| | - Liwei Bai
- Qinhuangdao Hospital for Maternal and Child Health, Hebei, Qinhuangdao, 066000, People’s Republic of China
| | - Qiang Lu
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, Qinhuangdao, 066000, People’s Republic of China
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Miron RJ, Estrin NE, Sculean A, Zhang Y. Understanding exosomes: Part 2-Emerging leaders in regenerative medicine. Periodontol 2000 2024; 94:257-414. [PMID: 38591622 DOI: 10.1111/prd.12561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 02/16/2024] [Accepted: 02/21/2024] [Indexed: 04/10/2024]
Abstract
Exosomes are the smallest subset of extracellular signaling vesicles secreted by most cells with the ability to communicate with other tissues and cell types over long distances. Their use in regenerative medicine has gained tremendous momentum recently due to their ability to be utilized as therapeutic options for a wide array of diseases/conditions. Over 5000 publications are currently being published yearly on this topic, and this number is only expected to dramatically increase as novel therapeutic strategies continue to be developed. Today exosomes have been applied in numerous contexts including neurodegenerative disorders (Alzheimer's disease, central nervous system, depression, multiple sclerosis, Parkinson's disease, post-traumatic stress disorders, traumatic brain injury, peripheral nerve injury), damaged organs (heart, kidney, liver, stroke, myocardial infarctions, myocardial infarctions, ovaries), degenerative processes (atherosclerosis, diabetes, hematology disorders, musculoskeletal degeneration, osteoradionecrosis, respiratory disease), infectious diseases (COVID-19, hepatitis), regenerative procedures (antiaging, bone regeneration, cartilage/joint regeneration, osteoarthritis, cutaneous wounds, dental regeneration, dermatology/skin regeneration, erectile dysfunction, hair regrowth, intervertebral disc repair, spinal cord injury, vascular regeneration), and cancer therapy (breast, colorectal, gastric cancer and osteosarcomas), immune function (allergy, autoimmune disorders, immune regulation, inflammatory diseases, lupus, rheumatoid arthritis). This scoping review is a first of its kind aimed at summarizing the extensive regenerative potential of exosomes over a broad range of diseases and disorders.
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Affiliation(s)
- Richard J Miron
- Department of Periodontology, University of Bern, Bern, Switzerland
| | - Nathan E Estrin
- Advanced PRF Education, Venice, Florida, USA
- School of Dental Medicine, Lake Erie College of Osteopathic Medicine, Bradenton, Florida, USA
| | - Anton Sculean
- Department of Periodontology, University of Bern, Bern, Switzerland
| | - Yufeng Zhang
- Department of Oral Implantology, University of Wuhan, Wuhan, China
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Zhao N, Yu X, Zhu X, Song Y, Gao F, Yu B, Qu A. Diabetes Mellitus to Accelerated Atherosclerosis: Shared Cellular and Molecular Mechanisms in Glucose and Lipid Metabolism. J Cardiovasc Transl Res 2024; 17:133-152. [PMID: 38091232 DOI: 10.1007/s12265-023-10470-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 11/23/2023] [Indexed: 02/28/2024]
Abstract
Diabetes is one of the critical independent risk factors for the progression of cardiovascular disease, and the underlying mechanism regarding this association remains poorly understood. Hence, it is urgent to decipher the fundamental pathophysiology and consequently provide new insights into the identification of innovative therapeutic targets for diabetic atherosclerosis. It is now appreciated that different cell types are heavily involved in the progress of diabetic atherosclerosis, including endothelial cells, macrophages, vascular smooth muscle cells, dependence on altered metabolic pathways, intracellular lipids, and high glucose. Additionally, extensive studies have elucidated that diabetes accelerates the odds of atherosclerosis with the explanation that these two chronic disorders share some common mechanisms, such as endothelial dysfunction and inflammation. In this review, we initially summarize the current research and proposed mechanisms and then highlight the role of these three cell types in diabetes-accelerated atherosclerosis and finally establish the mechanism pinpointing the relationship between diabetes and atherosclerosis.
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Affiliation(s)
- Nan Zhao
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 You'anmen Outer West 1st Street, Beijing, 100069, China
| | - Xiaoting Yu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 You'anmen Outer West 1st Street, Beijing, 100069, China
| | - Xinxin Zhu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 You'anmen Outer West 1st Street, Beijing, 100069, China
| | - Yanting Song
- Department of Pathology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, 100029, China
| | - Fei Gao
- Department of Cardiology, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing, 100029, China
| | - Baoqi Yu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 You'anmen Outer West 1st Street, Beijing, 100069, China.
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100069, China.
| | - Aijuan Qu
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, 10 You'anmen Outer West 1st Street, Beijing, 100069, China.
- Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing, 100069, China.
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9
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Deng J, Tang X, Tang R, Chen J, Guo H, Zhou Q, Zhan X, Long H, Peng F, Wang X, Wen Y, Feng X, Su N, Tian N, Wu X, Xu Q. Atherogenic index predicts all-cause and cardiovascular mortality in incident peritoneal dialysis patients. Atherosclerosis 2023; 387:117389. [PMID: 38011764 DOI: 10.1016/j.atherosclerosis.2023.117389] [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: 06/11/2023] [Revised: 10/06/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND AIMS Atherosclerosis, the main cause of cardiovascular disease (CVD), is prevalent in patients undergoing peritoneal dialysis (PD). Atherogenic index (AI) is a strong predictor of atherosclerosis. However, its prognostic value in CVD outcomes and all-cause mortality among patients undergoing PD remains uncertain. Therefore, we aimed to evaluate the association between AI and all-cause and CVD mortality in PD patients. METHODS Calculated based on lipid profiles obtained through standard laboratory procedures, AI was evaluated in 2682 patients who underwent PD therapy between January 2006 and December 2017 and were followed up until December 2018. The study population was divided into four groups according to the quartile distribution of AI (Q1: <2.20, Q2: 2.20 to <2.97, Q3: 2.97 to <4.04, and Q4: ≥4.04). Multivariable Cox models were employed to explore the associations between AI and CVD and all-cause mortality was evaluated. RESULTS During a median follow-up of 35.5 months (interquartile range, 20.9-57.2 months), 800 patients died, including 416 deaths from CVD. Restricted cubic splines showed non-linear relationship between AI and adverse clinical outcomes. The risks of all-cause and CVD mortality gradually increased across quartiles (log-rank, p < 0.001). After adjusting for potential confounders, the highest quartile (Q4) showed significantly elevated hazard ratio (HR) for both all-cause mortality (HR 1.54 [95% confidence interval (CI), 1.21-1.96]) and CVD mortality risk (HR 1.78 [95% CI, 1.26-2.52]), compared to the lowest quartile (Q1). CONCLUSIONS AI was independently associated with all-cause and CVD mortality in patients undergoing PD, suggesting that AI might be a useful prognostic marker.
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Affiliation(s)
- Jihong Deng
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Xingming Tang
- Department of Nephrology, Dongguan Songshan Lake Tungwah Hospital, DongGuan, China
| | - Ruiying Tang
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Jiexin Chen
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Huankai Guo
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Qian Zhou
- Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen Univeristy, Guangzhou, China
| | - Xiaojiang Zhan
- Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Haibo Long
- Department of Nephrology, Zhujiang Hospital, Southern Medical University Guangzhou, China
| | - Fenfen Peng
- Department of Nephrology, Zhujiang Hospital, Southern Medical University Guangzhou, China
| | - Xiaoyang Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Univeristy, ZhengZhou, China
| | - Yueqiang Wen
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoran Feng
- Department of Nephrology, Jiujiang NO.1 People's Hospital, Jiujiang, China
| | - Ning Su
- Department of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Na Tian
- Department of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Xianfeng Wu
- Department of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong Univeristy, Shanghai, China
| | - Qingdong Xu
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
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10
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Begue F, Apalama ML, Lambert G, Meilhac O. HDL as a Treatment Target: Should We Abandon This Idea? Curr Atheroscler Rep 2023; 25:1093-1099. [PMID: 38051472 DOI: 10.1007/s11883-023-01176-1] [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] [Accepted: 11/19/2023] [Indexed: 12/07/2023]
Abstract
PURPOSE OF REVIEW High-density lipoproteins (HDL) have long been regarded as an antiatherogenic lipoprotein species by virtue of their role in reverse cholesterol transport (RCT), as well as their established anti-inflammatory and antioxidant properties. For decades, HDL have been an extremely appealing therapeutic target to combat atherosclerotic cardiovascular diseases (ASCVD). RECENT FINDINGS Unfortunately, neither increasing HDL with drugs nor direct infusions of reconstituted HDL have convincedly proven to be positive strategies for cardiovascular health, raising the question of whether we should abandon the idea of considering HDL as a treatment target. The results of two large clinical trials, one testing the latest CETP inhibitor Obicetrapib and the other testing the infusion of patients post-acute coronary events with reconstituted HDL, are still awaited. If they prove negative, these trials will seal the fate of HDL as a direct therapeutic target. However, using HDL as a therapeutic agent still holds promise if we manage to optimize their beneficial properties for not only ASCVD but also outside the cardiovascular field.
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Affiliation(s)
- Floran Begue
- Inserm, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Université de La Réunion, 97410, Saint-Pierre, France
| | - Marie Laurine Apalama
- Inserm, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Université de La Réunion, 97410, Saint-Pierre, France
| | - Gilles Lambert
- Inserm, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Université de La Réunion, 97410, Saint-Pierre, France.
| | - Olivier Meilhac
- Inserm, UMR 1188 Diabète Athérothrombose Thérapies Réunion Océan Indien (DéTROI), Université de La Réunion, 97410, Saint-Pierre, France
- CHU de La Réunion, 97400, Saint-Denis, France
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11
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Soliman MO, El-Kamel AH, Shehat MG, Bakr BA, El-Moslemany RM. Lactoferrin decorated bilosomes for the oral delivery of quercetin in type 2 diabetes: In vitro and in vivo appraisal. Int J Pharm 2023; 647:123551. [PMID: 37884217 DOI: 10.1016/j.ijpharm.2023.123551] [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: 09/08/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 10/28/2023]
Abstract
Despite its tremendous potential for type 2 diabetes management, quercetin (QRC) suffers poor gastric stability, poor bioavailability, and extensive first pass metabolism. Drug encapsulation into bilosomes (BSL) has proven enhanced properties in-vitro and in-vivo. Herein, this work endeavoured to evaluate efficacy of QRC-encapsulated bilosomes capped with lactoferrin (LF); a milk protein with antidiabetic potential, for type 2 diabetes oral treatment. The optimized formulation (LF-QRC-BSL) was evaluated in-vitro on α-amylase enzyme inhibition and insulin resistant HepG2 cell model and in vivo on streptozocin/high fat diet induced diabetes in rats. LF-QRC-BSL showed a small size (68.1 nm), a narrow PDI (0.18) and a -25.5 mV zeta potential. A high entrapment efficiency (94 %) with sustained release were also observed. LF-QRC-BSL displayed 100 % permeation through excised diabetic rat intestines after 6 h, 70.2 % inhibition of α-amylase enzyme in-vitro and an augmented recovery of glucose uptake in insulin resistant cells. In diabetic rats, LF-QRC-BSL resulted in significant decrease in blood glucose level, improved lipid profile and tissue injury markers with reduced oxidative stress and inflammatory markers. Further, histopathological examination of the kidneys, liver and pancreas revealed an almost restored normal condition comparable to the negative control. Overall, LF-QRC-BSL have proven to be a promising therapy for type 2 diabetes.
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Affiliation(s)
- Mai O Soliman
- Department of Pharmaceutics, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
| | - Amal H El-Kamel
- Department of Pharmaceutics, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt.
| | - Michael G Shehat
- Department of Microbiology and Immunology, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
| | - Basant A Bakr
- Department of Zoology, Faculty of Science, Alexandria University, Alexandria, Egypt
| | - Riham M El-Moslemany
- Department of Pharmaceutics, Faculty of Pharmacy, Alexandria University, Alexandria, Egypt
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12
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You Y, Hu H, Cao C, Han Y, Tang J, Zhao W. Association between the triglyceride to high-density lipoprotein cholesterol ratio and the risk of gestational diabetes mellitus: a second analysis based on data from a prospective cohort study. Front Endocrinol (Lausanne) 2023; 14:1153072. [PMID: 37576966 PMCID: PMC10415043 DOI: 10.3389/fendo.2023.1153072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 06/30/2023] [Indexed: 08/15/2023] Open
Abstract
Background Although there is strong evidence linking triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio to insulin resistance and diabetes mellitus, its clinical importance in pregnant women has not been well determined. This study sought to determine the connection between the TG/HDL-C ratio in the first trimester and the eventual onset of gestational diabetes mellitus (GDM). Methods We performed a secondary analysis of open-access data from a prospective cohort study. This present study included 590 singleton pregnant women at 10-14 weeks who visited the outpatient clinics for prenatal checks and were recorded at Incheon Seoul Women's Hospital and Seoul Metropolitan Government Seoul National University Boramae Medical Center in Korea. A binary logistic regression model, a series of sensitivity analyses, and subgroup analysis were used to examine the relationship between TG/HDL-C ratio and incident GDM. A receiver operating characteristic (ROC) analysis was also conducted to assess the ability of the TG/HDL-C ratio to predict GDM. Results The mean age of the included individuals was 32.06 ± 3.80 years old. The mean TG/HDL-C ratio was 1.96 ± 1.09. The incidence rate of GDM was 6.27%. After adjustment for potentially confounding variables, TG/HDL-C ratio was positively associated with incident GDM (OR=1.77, 95%CI: 1.32-2.38, P=0.0001). Sensitivity analyses and subgroup analysis demonstrated the validity of the relationship between the TG/HDL-C ratio and GDM. The TG/HDL-C ratio was a good predictor of GDM, with an area under the ROC curve of 0.7863 (95% CI: 0.7090-0.8637). The optimal TG/HDL-C ratio cut-off value for detecting GDM was 2.2684, with a sensitivity of 72.97% and specificity of 75.05%. Conclusion Our results demonstrate that the elevated TG/HDL-C ratio is related to incident GDM. The TG/HDL-C ratio at 10-14 weeks could help identify pregnant women at risk for GDM and may make it possible for them to receive early and effective treatment to improve their prognosis.
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Affiliation(s)
- Yun You
- Department of Obstetrics, Shantou University Medical College, Shantou, Guangdong, China
- Department of Obstetrics, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
| | - Haofei Hu
- Department of Nephrology, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
| | - Changchun Cao
- Department of Rehabilitation, Shenzhen Dapeng New District Nan’ao People’s Hospital, Shenzhen, Guangdong, China
| | - Yong Han
- Department of Emergency, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
| | - Jie Tang
- Department of Obstetrics, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
| | - Weihua Zhao
- Department of Obstetrics, Shantou University Medical College, Shantou, Guangdong, China
- Department of Obstetrics, Shenzhen Second People’s Hospital, Shenzhen, Guangdong, China
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13
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Yin B, Wu Z, Xia Y, Xiao S, Chen L, Li Y. Non-linear association of atherogenic index of plasma with insulin resistance and type 2 diabetes: a cross-sectional study. Cardiovasc Diabetol 2023; 22:157. [PMID: 37386500 PMCID: PMC10311747 DOI: 10.1186/s12933-023-01886-5] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 06/12/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Although there is numerous evidence on the epidemiological risk factors for insulin resistance (IR)-related metabolic diseases, there is still insufficient evidence to explore the non-linear association of Atherogenic Index of Plasma (AIP) with IR. Therefore, we aimed to elucidate the non-linear relationship between AIP and IR and type 2 diabetes (T2D). METHODS This cross-sectional study was conducted in the National Health and Nutrition Survey (NHANES) from 2009 to 2018. A total of 9,245 participants were included in the study. The AIP was calculated as log10 (triglycerides/high-density lipoprotein cholesterol). The outcome variables included IR and T2D defined by the 2013 American Diabetes Association guidelines. The weighted multivariate linear regression, weighted multivariate logistic regression, subgroup analysis, generalized additive model, smooth fitting curve and two-part logistic regression were adopted to reveal the relationship of AIP with IR and T2D. RESULTS After adjustment for age, gender, race, education level, smoking status, alcohol consumption, vigorous/moderate physical activity, body mass index, waist circumference and hypertension, we found that AIP was positively associated with fasting blood glucose (β = 0.08, 95% CI: 0.06, 0.10), glycosylated hemoglobin (β = 0.04, 95% CI: 0.39, 0.58), fasting serum insulin (β = 4.26, 95% CI: 3.73, 4.79), and homeostasis model assessment of insulin resistance (β = 0.22, 95% CI: 0.18, 0.25). Further studies found that AIP was associated with increased risk of IR (OR = 1.29, 95% CI: 1.26-1.32) and T2D (OR = 1.18, 95% CI: 1.15-1.22). However, the positive association between AIP and IR or T2D was more significant in female than in male (IR: P for interaction = 0.0135; T2D: P for interaction = 0.0024). A non-linear and inverse L-shaped association was found between AIP and IR, while a J-shaped association was found between AIP and T2D. In patients with - 0.47 < AIP < 0.45, increased AIP was significantly associated with increased risk of IR and T2D. CONCLUSIONS AIP showed an inverse L-shaped association with IR and a J-shaped association with T2D, indicating that AIP should be reduced to a certain level to prevent IR and T2D.
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Affiliation(s)
- Bei Yin
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Zihong Wu
- Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610000, China
| | - Yaqing Xia
- Department of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine (The Second Affiliated Hospital, Guangzhou University of Chinese Medicine), Guangzhou, 510000, China
| | - Shunqiang Xiao
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China
| | - Lingling Chen
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
| | - Yousheng Li
- Department of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, 518020, China.
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14
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He L, Zheng W, Li Z, Kong W, Zeng T. Association of four lipid-derived indicators with the risk of developing type 2 diabetes: a Chinese population-based cohort study. Lipids Health Dis 2023; 22:24. [PMID: 36788551 PMCID: PMC9930254 DOI: 10.1186/s12944-023-01790-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Studies have reported that lipid-derived indicators are associated with type 2 diabetes (T2D) in various populations; however, it is unclear which lipid-derived indicators could effectively predict T2D risk. Therefore, this study aimed to explore the association between four lipid-derived indicators and T2D risk. METHODS This was a post-hoc analysis from a large cohort that included data from 114,700 Chinese individuals aged 20 years and older from 11 cities and 32 sites. The association between four lipid-derived indicators and T2D risk was determined using Kaplan-Meier (KM) survival curves, Cox regression, and restricted cubic spline analyses. This study used receiver operating characteristic (ROC) curves for assessing the ability of four lipid-derived indicators to accurately predict the development of T2D during follow-up. RESULTS This study included a total of 114,700 participants, with a mean age of 44.15. These individuals were followed up for 3.1 years, of which 2668 participants developed T2D. ROC curve analysis showed that TyG was the most robust predictor of 3-year [aera under the ROC (AUC) = 0.77, 95% CI: 0.768, 0.772] and 5-year T2D risk (AUC = 0.763, 95% CI: 0.760, 0.765). In addition, sensitivity analysis showed an association between TyG and an increased incidence of T2D. CONCLUSIONS The results suggest that TyG was a superior for predicting the risk of developing T2D in the general Chinese population.
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Affiliation(s)
- Linfeng He
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Wenbin Zheng
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Zeyu Li
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Wen Kong
- grid.33199.310000 0004 0368 7223Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei China ,grid.33199.310000 0004 0368 7223Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Huazhong University of Science and Technology, Wuhan, Hubei, China. .,Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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15
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Wang A, Li Y, Zhou L, Liu K, Li S, Zong C, Song B, Gao Y, Li Y, Tian C, Xing Y, Xu Y, Wang L. Non-HDL-C/HDL-C ratio is associated with carotid plaque stability in general population: A cross-sectional study. Front Neurol 2022; 13:875134. [PMID: 36188405 PMCID: PMC9520290 DOI: 10.3389/fneur.2022.875134] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/15/2022] [Indexed: 12/16/2022] Open
Abstract
Background Carotid atherosclerosis, especially the rupture of unstable plaques, plays an important role in the development of stroke. A novel lipid ratio, the non-high-density lipoprotein cholesterol (non-HDL-C)/high-density lipoprotein cholesterol (HDL-C) ratio, contains both atherogenic and anti-atherogenic particle information, and has been shown to be associated with carotid atherosclerosis. However, there is no data on evaluating the association between non-HDL-C/HDL-C ratio and carotid plaque stability. Methods This study was carried out on 27,436 urban workers aged 20 years or older who participated in a comprehensive health screening between January 2016 and December 2017. Carotid plaque stability was assessed using ultrasonography. Multinomial logistic regression models were used to explore the relationship between the non-HDL-C/HDL-C ratio and carotid plaque stability by odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results Carotid plaque was detected in 7,161 (26.1%) participants, with stable and unstable plaque accounting for 3,277 (11.9%) and 3,884 (14.2%), respectively. The prevalence of stable carotid plaque substantially increased with increasing non-HDL-C/HDL-C ratio quartile levels (p for trend < 0.001) and with a similar association for unstable carotid plaque (p for trend < 0.001). The mean non-HDL-C/HDL-C ratios (mean ± SD) of non-carotid plaque (2.9 ± 1.1), stable carotid plaque (3.2 ± 1.2), and unstable carotid plaque (3.4 ± 1.4) gradually increased (p < 0.001). In multinomial logistic regression, ORs (95% CIs) for the highest vs. lowest quartile of the non-HDL-C/HDL-C ratio were 1.70 (1.48-1.95) between stable carotid plaques and no carotid plaque, 2.34 (2.06-2.67) between unstable carotid plaques and no carotid plaque, and 1.38 (1.18-1.61) between unstable carotid plaques and stable carotid plaque, after adjusting for common cardiovascular risk factors. The results of subgroup analysis and sensitivity analysis were similar. Conclusion Our findings suggested that the non-HDL-C/HDL-C ratio was significantly associated with carotid plaque stability and might be a useful indicator for the early identification of high-risk carotid plaque.
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Affiliation(s)
- Anran Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yapeng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lue Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shaohua Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ce Zong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | | | - Yurong Xing
- Physical Examination Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Longde Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- The General Office of Stroke Prevention Project Committee, National Health Commission of the People's Republic of China, Beijing, China
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16
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Yang T, Liu Y, Li L, Zheng Y, Wang Y, Su J, Yang R, Luo M, Yu C. Correlation between the triglyceride-to-high-density lipoprotein cholesterol ratio and other unconventional lipid parameters with the risk of prediabetes and Type 2 diabetes in patients with coronary heart disease: a RCSCD-TCM study in China. Cardiovasc Diabetol 2022; 21:93. [PMID: 35659300 PMCID: PMC9166647 DOI: 10.1186/s12933-022-01531-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/18/2022] [Indexed: 11/25/2022] Open
Abstract
Objective Type 2 diabetes mellitus (T2DM) is often accompanied by undiagnosed dyslipidemia. Research on the association of unconventional lipid markers with prediabetes (pre-DM) and T2DM simultaneously is limited in coronary heart disease (CHD) patients. Methods This study included 28,476 patients diagnosed with CHD. Their lipid levels, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured, and non-traditional lipid parameters were calculated. The patients were divided into three groups based on the diabetic status including normoglycemic (NG), pre-DM, and T2DM. Multiple logistic regression was used to compare the association of TG/HDL-C and other non-traditional lipid parameters with pre-DM and T2DM. The tertiles of TG/HDL-C included T1 (TG/HDL-C < 1.10), T2 (1.10 ≤ TG/HDL-C ≤ 1.89) and T3 (TG/HDL-C > 1.89). Low and high TG/HDL-C was defined with sex-specific cutoff points. Results Multiple logistic regression results showed that the non-traditional lipid parameters, including non-HDL-C, LDL-C/HDL-C, TC/HDL-C, non-HDL-C/HDL-C and TG/HDL-C, were all correlated with the risk of pre-DM and T2DM. Meanwhile TG/HDL-C showed the strongest correlation (odds ratio [OR]: 1.19; 95% confidence interval [CI] 1.16–1.23), (OR: 1.36; 95% CI 1.33–1.39). When dividing TG/HDL-C into tertiles, using T1 as a reference, T3 was observed to have the highest association with both pre-DM and T2DM (OR: 1.60; 95% CI 1.48–1.74), (OR: 2.79; 95% CI 2.60–3.00). High TG/HDL-C was significantly associated with pre-DM and T2DM (OR: 1.69; 95% CI 1.52–1.88), (OR: 2.85; 95% CI 2.60–3.12). The association of TG/HDL-C with T2DM and pre-DM existed across different sex, age, smoking, and drinking statuses. Conclusion Elevated non-traditional lipid parameters were significantly associated with pre-DM and T2DM in CHD patients, especially TG/HDL-C. High TG/HDL-C was the risk factor with a strong correlation with the risk of pre-DM and T2DM.
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Ashrafizadeh M, Kumar AP, Aref AR, Zarrabi A, Mostafavi E. Exosomes as Promising Nanostructures in Diabetes Mellitus: From Insulin Sensitivity to Ameliorating Diabetic Complications. Int J Nanomedicine 2022; 17:1229-1253. [PMID: 35340823 PMCID: PMC8943613 DOI: 10.2147/ijn.s350250] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/07/2022] [Indexed: 12/11/2022] Open
Abstract
Diabetes mellitus (DM) is among the chronic metabolic disorders that its incidence rate has shown an increase in developed and wealthy countries due to lifestyle and obesity. The treatment of DM has always been of interest, and significant effort has been made in this field. Exosomes belong to extracellular vesicles with nanosized features (30-150 nm) that are involved in cell-to-cell communication and preserving homeostasis. The function of exosomes is different based on their cargo, and they may contain lipids, proteins, and nucleic acids. The present review focuses on the application of exosomes in the treatment of DM; both glucose and lipid levels are significantly affected by exosomes, and these nanostructures enhance lipid metabolism and decrease its deposition. Furthermore, exosomes promote glucose metabolism and affect the level of glycolytic enzymes and glucose transporters in DM. Type I DM results from the destruction of β cells in the pancreas, and exosomes can be employed to ameliorate apoptosis and endoplasmic reticulum (ER) stress in these cells. The exosomes have dual functions in mediating insulin resistance/sensitivity, and M1 macrophage-derived exosomes inhibit insulin secretion. The exosomes may contain miRNAs, and by transferring among cells, they can regulate various molecular pathways such as AMPK, PI3K/Akt, and β-catenin to affect DM progression. Noteworthy, exosomes are present in different body fluids such as blood circulation, and they can be employed as biomarkers for the diagnosis of diabetic patients. Future studies should focus on engineering exosomes derived from sources such as mesenchymal stem cells to treat DM as a novel strategy.
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Affiliation(s)
- Milad Ashrafizadeh
- Faculty of Engineering and Natural Sciences, Sabanci University, Tuzla, 34956, Istanbul, Turkey
| | - Alan Prem Kumar
- NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117600, Singapore
- Cancer Science Institute of Singapore and Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117599, Singapore
| | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Translational Sciences, Xsphera Biosciences Inc., Boston, MA, 02210, USA
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Istanbul, 34396, Turkey
| | - Ebrahim Mostafavi
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, 94305, USA
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Laudanski K. Persistence of Lipoproteins and Cholesterol Alterations after Sepsis: Implication for Atherosclerosis Progression. Int J Mol Sci 2021; 22:ijms221910517. [PMID: 34638860 PMCID: PMC8508791 DOI: 10.3390/ijms221910517] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 09/22/2021] [Accepted: 09/26/2021] [Indexed: 02/06/2023] Open
Abstract
(1) Background: Sepsis is one of the most common critical care illnesses with increasing survivorship. The quality of life in sepsis survivors is adversely affected by several co-morbidities, including increased incidence of dementia, stroke, cardiac disease and at least temporary deterioration in cognitive dysfunction. One of the potential explanations for their progression is the persistence of lipid profile abnormalities induced during acute sepsis into recovery, resulting in acceleration of atherosclerosis. (2) Methods: This is a targeted review of the abnormalities in the long-term lipid profile abnormalities after sepsis; (3) Results: There is a well-established body of evidence demonstrating acute alteration in lipid profile (HDL-c ↓↓, LDL-C -c ↓↓). In contrast, a limited number of studies demonstrated depression of HDL-c levels with a concomitant increase in LDL-C -c in the wake of sepsis. VLDL-C -c and Lp(a) remained unaltered in few studies as well. Apolipoprotein A1 was altered in survivors suggesting abnormalities in lipoprotein metabolism concomitant to overall lipoprotein abnormalities. However, most of the studies were limited to a four-month follow-up and patient groups were relatively small. Only one study looked at the atherosclerosis progression in sepsis survivors using clinical correlates, demonstrating an acceleration of plaque formation in the aorta, and a large metanalysis suggested an increase in the risk of stroke or acute coronary event between 3% to 9% in sepsis survivors. (4) Conclusions: The limited evidence suggests an emergence and persistence of the proatherogenic lipid profile in sepsis survivors that potentially contributes, along with other factors, to the clinical sequel of atherosclerosis.
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Affiliation(s)
- Krzysztof Laudanski
- Department of Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA 19104, USA; ; Tel.: +1-215-662-8200
- Department of Neurology, University of Pennsylvania, Philadelphia, PA 19104, USA
- Leonard Davis Institute of Healthcare Economics, Philadelphia, PA 19104, USA
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