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Mao Y, Zhao R, Li X, Geng Y. Association of remnant cholesterol with depression, type 2 diabetes, and their coexistence. BMC Psychiatry 2025; 25:552. [PMID: 40426082 PMCID: PMC12108040 DOI: 10.1186/s12888-025-06980-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Accepted: 05/13/2025] [Indexed: 05/29/2025] Open
Abstract
BACKGROUND Depression and Type 2 Diabetes Mellitus (T2DM) represent significant public health challenges and share common pathogenic mechanisms. Previous studies have indicated a positive correlation between serum residual cholesterol (RC) and depression. However, further research is needed to understand the relationships between RC and depression, T2DM, and their coexistence. This study aims to assess the association between RC and depression, T2DM, and their comorbidities in a large sample of the U.S. population, while also exploring potential underlying mechanisms. METHODS This is a cross-sectional study utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2005 to 2018 (N = 11,193). Depression was assessed using the Patient Health Questionnaire-9 (PHQ-9). We employed weighted univariate and multivariate logistic regression models, considering sampling weights, to explore the associations between serum RC and depression, T2DM and their coexistence. To assess model stability, we calculated unmeasured confounder E values. Restricted cubic spline regression models were used to reveal dose-response effects, and subgroup analyses were conducted. RESULTS Among the 11,193 participants, the weighted mean age was 45.24 years, with 49.0% being male. The prevalence of depression, T2DM, and their coexistence was 6.9%, 14.0%, and 1.4%, respectively (weighted percentages). In the multivariate regression model, higher serum RC levels were associated with an increased risk of depression, T2DM, and their coexistence. The adjusted odds ratios (ORs) per unit increase in RC were 1.39(1.06,1.82), 2.26(1.79,2.83), and 3.07(2.08,4.52), respectively. When considering only depression without T2DM, the association was not significant (OR: 1.23; 95% CI: 0.87-1.73). This nonlinear correlation between RC and depression, T2DM, and their coexistence was consistent across various participant characteristics. CONCLUSIONS The findings from this extensive cross-sectional study offer compelling evidence linking RC to the risk of depression, T2DM, and their coexistence. This implies that directing attention towards residual cholesterol could enhance research pertaining to the comorbidities of depression and type 2 diabetes.
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Affiliation(s)
- Yafei Mao
- Fengfeng General Hospital of North China Medical & Health Group, Han Dan, Hebei, China
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Rui Zhao
- Fengfeng General Hospital of North China Medical & Health Group, Han Dan, Hebei, China
| | - Xinyuan Li
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yulan Geng
- The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
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Yang M, Wei Y, Wang Y, Liu J, Wang G. TSH is independently associated with remnant cholesterol in euthyroid adults: a cross-sectional study based on 29,708 individuals. Hormones (Athens) 2025; 24:231-239. [PMID: 39215946 DOI: 10.1007/s42000-024-00596-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
PURPOSE The study aims to investigate the relationship between thyroid-stimulating hormone (TSH) and remnant cholesterol (RC) in euthyroid adults. METHODS The adults who were recruited for the study had undergone physical examination at Beijing Chao-Yang Hospital. High RC levels were defined as the upper quartile of RC levels in males and females, respectively. The relationship between TSH and RC was assessed using the logistic and linear regression models. RESULTS A total of 29,708 adults (14,347 males and 15,361 females) were enrolled in this study. RC ≥ 0.77 mmol/L in males and RC ≥ 0.60 mmol/L in females were defined as high RC levels. With increasing serum TSH levels, the percentage of adults with high RC levels increased. The odds ratios (ORs (95% confidence intervals (CIs)) for high RC levels increased as TSH quartiles (Q) rose after full adjustments [males: Q2 1.11 (1.00-1.24), P < 0.05; Q3 1.03 (0.92-1.15), P > 0.05; Q4 1.25 (1.12-1.40), P < 0.001; and females: Q2 1.07 (0.96-1.20), P > 0.05; Q3 1.17 (1.05-1.31), P < 0.01, Q4 1.33 (1.20-1.48), P < 0.001, all P for trend < 0.001], using Q1 as the reference. CONCLUSION Higher TSH levels were independently associated with higher RC levels in euthyroid adults, this underscoring the significance of regulating TSH levels appropriately.
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Affiliation(s)
- Mengge Yang
- Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Ying Wei
- Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Ying Wang
- Physical Examination Center, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, 100020, China
| | - Jia Liu
- Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, China.
| | - Guang Wang
- Department of Endocrinology, Beijing Chao-yang Hospital, Capital Medical University, Beijing, 100020, China.
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Xu X, Pan T, Zhong X, Du Y, Zhang D. Associations of the triglyceride-glucose index and remnant cholesterol levels with the prevalence of Carotid Plaque in patients with type 2 diabetes: a retrospective study. Lipids Health Dis 2025; 24:26. [PMID: 39871275 PMCID: PMC11771029 DOI: 10.1186/s12944-025-02449-1] [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: 10/08/2024] [Accepted: 01/21/2025] [Indexed: 01/29/2025] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index has been identified as an alternative biomarker for insulin resistance (IR), while residual cholesterol (RC) is a simple, cost-effective, and easily detectable lipid metabolite. However, the associations of these two markers with carotid plaque presence remain unclear. Thus, this study aimed to explore their associations with carotid plaque presence. METHODS Participants were chosen from patients with T2DM admitted to The Second Affiliated Hospital of Anhui Medical University from October 2023 to April 2024, and they were separated into two groups (patients without carotid plaque and patients with carotid plaque) based on their carotid ultrasound results. By comparing the general information and biochemical indicators of the two groups, we employed multivariate logistic regression models and RCS regression models to investigate the associations of the TyG index and RC levels with carotid plaque presence, and made adjustments based on multiple confounding factors to identify the differences between subgroups. RESULTS This study comprised 278 patients with T2DM in total, including 165 males and 113 females. A multivariate logistic regression study indicated that, after adjusting statistically significant variables screened in LASSO regression, TyG index [OR (95% CI): 1.810 (1.077, 3.113)] and RC [OR (95% CI): 1.988 (1.034, 3.950)] remained the risk factors for carotid plaque presence. According to restricted cubic splines (RCS), RC levels increased linearly with carotid plaque presence (P - nonlinear > 0.05). Conversely, the TyG index and carotid plaque presence did not associate linearly (P - nonlinear < 0.05). Results of subgroup analyses showed no grouping variables exhibited association with TyG index or RC (p for interaction > 0.05). CONCLUSIONS In patients with T2DM, both TyG index and RC levels were strongly linked to carotid plaque presence, and could serve as independent risk factors for this presence. Monitoring the TyG index and RC levels can help gain a better understanding and knowledge of carotid plaque presence in patients with T2DM, offering guidance for the clinical prevention and treatment of cardiovascular and cerebrovascular diseases (CCVDs) in patients with T2DM.
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Affiliation(s)
- Xin Xu
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei Anhui, 230601, China
| | - Tianrong Pan
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei Anhui, 230601, China
| | - Xing Zhong
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei Anhui, 230601, China
| | - Yijun Du
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei Anhui, 230601, China
| | - Deyuan Zhang
- Department of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei Anhui, 230601, China.
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Kong L, Wu Y, Yang H, Guo M, Zhong Y, Li J, Wu S, Xiong Z. Nonlinear association between remnant cholesterol and reversion from impaired fasting glucose to normoglycemia: a multicenter cohort study. Lipids Health Dis 2024; 23:303. [PMID: 39300559 PMCID: PMC11414174 DOI: 10.1186/s12944-024-02286-8] [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: 06/29/2024] [Accepted: 09/05/2024] [Indexed: 09/22/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC), a potent atherogenic lipid, has been shown to be strongly correlated with insulin resistance and the pathogenesis of diabetes mellitus. However, the relationship between RC and normoglycemia reversal in individuals with impaired fasting glucose (IFG) is crucial and remains unclear. This investigation, which aimed to clarify this association, is important for understanding and potentially improving the management of diabetes. METHOD This study, which included 15,019 IFG participants from 11 Chinese cities between 2010 and 2016, was conducted with a rigorous research process. Cox regression analysis revealed intriguing findings regarding the relationship between RC and normoglycemia reversal in individuals with IFG. Potential nonlinear associations were further explored via smooth curve-fitting techniques and 4-knot restricted cubic spline functions, ensuring a comprehensive analysis. To examine the validity of the results, an array of subgroup and sensitivity analyses were conducted, further bolstering the robustness of the findings. RESULTS By the end of the 2.89-year median follow-up period, 6,483 of the 15,019 IFG participants (43.17%) had reverted to normoglycemia. The findings, which reveal that increased RC levels are inversely associated with the likelihood of normoglycemia reversal, are novel and significant. According to the fully adjusted Cox proportional hazards model analysis, an increase of one standard deviation in RC was associated with a 20% decrease in the likelihood of normoglycemia reversal among IFG participants (HR: 0.80, 95% CI: 0.77-0.82). A nonlinear association between RC and normoglycemia reversal was observed, with an inflection point at 41.37 mg/dL. This suggests that the growth rate of the likelihood of reversion decreased and stabilized after the inflection point was reached. Moreover, significant interactions were observed between the age groups, providing a more nuanced understanding of this complex relationship. CONCLUSION Among Chinese adults with IFG, RC exhibited a negative nonlinear relationship with the probability of normoglycemia reversal. When RC levels reached or exceeded 41.38 mg/dL, the probability of achieving normoglycemia progressively diminished and subsequently stabilized. Maintaining RC levels below 41.38 mg/dL can significantly improve the probability of normoglycemia reversal among individuals with IFG, especially those aged 60 years or older.
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Affiliation(s)
- Laixi Kong
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China
| | - Yuqing Wu
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China
| | - Huiqi Yang
- Nanbu County People's Hospital, Nanchong, Sichuan, 637300, China
| | - Maoting Guo
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China
| | - Yuxin Zhong
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China
| | - Jingru Li
- Nanbu County People's Hospital, Nanchong, Sichuan, 637300, China
| | - Shuang Wu
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China.
| | - Zhenzhen Xiong
- School of Nursing, Chengdu Medical College, Chengdu, 610083, Sichuan, China.
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Feng X, Liu Y, Yang J, Zhou Z, Yang S, Zhou Y, Guo Q. The prognostic role of remnant cholesterol in Asian menopausal women received percutaneous coronary intervention with acute coronary syndrome. Lipids Health Dis 2024; 23:276. [PMID: 39215317 PMCID: PMC11363399 DOI: 10.1186/s12944-024-02258-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 08/15/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) exert a significant influence on atherosclerotic cardiovascular disease development. However, the prognostic implications of RC in menopausal women received percutaneous coronary intervention (PCI) who experiencing acute coronary syndrome (ACS) remain uncertain. METHODS RC was derived by subtracting the sum of high-density lipoprotein cholesterol and low-density lipoprotein cholesterol from the total cholesterol. Kaplan-Meier survival and Cox regression analysis were employed for assessing the correlation between continuous RC levels and composite and individual adverse events in Q1-Q4 quartiles. Receiver operator characteristic (ROC) curves, derived from Cox regression, were employed for analyzing the relationship between RC and both composite and individual adverse events. RESULTS 1505 consecutive menopausal women who underwent PCI and diagnosed with ACS were included. Kaplan-Meier survival analysis demonstrated a progressive reduction in composite adverse event survival rates across the four groups, observed in both the general population and among diabetic individuals, as RC values increased (Log-rank P < 0.001). The analysis of multivariate Cox regression indicated RC remained independently associated with both composite and individual adverse events. ROC analysis showed that RC enhanced the area under the curve both in total and diabetic populations for composite adverse events. CONCLUSION Among menopausal women diagnosed with ACS who underwent PCI, heightened levels of RC were found to be independently correlated with an increased occurrence of adverse events.
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Affiliation(s)
- Xunxun Feng
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
- Department of Medicine, Division of Cardiology, University of California, Los Angeles, CA, USA
| | - Yang Liu
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Jiaqi Yang
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Zhiming Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Shiwei Yang
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China
| | - Yujie Zhou
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China.
| | - Qianyun Guo
- Department of Cardiology, Beijing Anzhen Hospital, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Beijing Institute of Heart Lung and Blood Vessel Disease, Capital Medical University, Beijing, China.
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Su S, Zhang E, Gao S, Zhang Y, Liu J, Xie S, Yu J, Zhao Q, Yue W, Liu R, Yin C. Associations of remnant cholesterol in early pregnancy with gestational diabetes mellitus risk: a prospective birth cohort study. Lipids Health Dis 2024; 23:243. [PMID: 39123218 PMCID: PMC11312247 DOI: 10.1186/s12944-024-02230-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Accepted: 07/30/2024] [Indexed: 08/12/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) reportedly contributes to the development of diabetes mellitus. However, evidence on the relationship between maternal RC and the risk of developing gestational diabetes mellitus (GDM) during pregnancy is limited. This study aimed to assess the relationship between maternal RC and GDM risk during early pregnancy, and explore the potential pathways involved in the relationship between RC levels and GDM risk. METHODS From 2018 to 2021, a prospective birth cohort study was designed and carried out in China. The associations of maternal RC and other lipid parameters with GDM risk were estimated using logistic regression models and restricted cubic splines. Subgroup analyses were performed stratified by prepregnancy body mass index (pre-BMI), maternal age and gravidity. Mediation analyses were conducted to explore the mediating effect of some related factors on the relationship between RC levels and the risk of GDM. RESULTS A total of 33,018 pregnant women were included. The median RC level was 0.47 ± 0.20 mmol/L. The prevalence of GDM was 15.19%. As RC quartiles increased, the incidence of GDM increased substantially, reaching 19.24% for the highest quartile of RC (P < 0.001). Maternal RC in the first trimester was positively correlated with GDM risk (OR: 2.254, 95% CI: 1.943-2.615). Compared to the lowest RC quartile, higher RC quartiles were correlated with an increased risk of GDM, and the ORs (95% CIs) for Q3 and Q4 were 1.208 (1.101-1.325) and 1.489 (1.364-1.626), respectively. Moreover, a linear dose-response relationship was found for this association (P for all < 0.001, P for nonlinearity > 0.05) and was consistent across subgroups with different pre-BMIs, maternal ages and gravidities (all P values for interactions > 0.05). Furthermore, the correlation between RC level and GDM risk was partially mediated by pre-BMI (9.20%) and blood glucose level (-11.1%). CONCLUSIONS Higher maternal RC levels in the early stage of pregnancy was positively associated with an increased risk of developing GDM. This association was partially mediated by pre- BMI and blood glucose levels.
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Affiliation(s)
- Shaofei Su
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Enjie Zhang
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Shen Gao
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Yue Zhang
- Department of Research Management, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Jianhui Liu
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Shuanghua Xie
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Jinghan Yu
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Qiutong Zhao
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China
| | - Wentao Yue
- Department of Research Management, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
| | - Ruixia Liu
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
| | - Chenghong Yin
- Department of Central Laboratory, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251 Yaojiayuan Road, Chaoyang District, Beijing, 100026, China.
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Li B, Liu Y, Zhou X, Gu W, Mu Y. Remnant cholesterol, but not other traditional lipids or lipid ratios, is independently and positively related to future diabetes risk in Chinese general population: A 3 year cohort study. J Diabetes Investig 2024; 15:1084-1093. [PMID: 38568177 PMCID: PMC11292390 DOI: 10.1111/jdi.14205] [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: 01/01/2024] [Revised: 03/05/2024] [Accepted: 03/19/2024] [Indexed: 08/02/2024] Open
Abstract
AIMS Very few cohort studies are available about the relation between remnant cholesterol (RC) and diabetes. Based on a prospective cohort survey, this research aimed at investigating if high RC was related to a future diabetes risk in the Chinese population, as well as to compare the association between RC, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), triglycerides (TG), TG/HDL-C, LDL-C/HDL-C, TC/HDL-C, and non-high-density lipoprotein cholesterol (non-HDL-C), and future diabetes risk. MATERIALS AND METHODS 6,700 baseline normoglycemic participants of the REACTION study's Beijing center were recruited in 2011-2012 and followed up in 2015. Multivariate Cox regression analyses were performed to explore the relationship of RC, HDL-C, LDL-C, TC, TG, LDL-C/HDL-C, TG/HDL-C, TC/HDL-C, and non-HDL-C and a future diabetes risk. RESULTS After potential confounders were adjusted for, only RC (HR 1.134, 95% CI 1.016-1.267, P = 0.025) was positively related to a future diabetes risk, and only HDL-C (HR 0.728, 95% CI 0.578-0.918, P = 0.007) was negatively related to a future diabetes risk. The rest of the lipid parameters were not related to a future risk of diabetes. Sensitivity and stratification analyses revealed that the relation between RC and future diabetes risk was stable. RC and future diabetes risk were still positively correlated even when the HDL-C was ≥1.04 mmol/L (HR 1.167, 95% CI 1.050-1.297, P = 0.004). CONCLUSIONS It was RC, but not other lipid parameters, that was independently and positively related to a future risk of diabetes among the Chinese general population. Moreover, the relationship between RC and diabetes risk was stable, even with appropriate levels of HDL-C.
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Affiliation(s)
- Binqi Li
- Medical CollegeNankai UniversityTianjinChina
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
| | - Yang Liu
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
- Department of Endocrinology, Eighth Medical CenterChinese PLA General HospitalBeijingChina
| | - Xin Zhou
- School of Graduate StudiesChinese PLA General HospitalBeijingChina
- Second Medical CenterChinese PLA General HospitalBeijingChina
| | - Weijun Gu
- Department of Endocrinology, First Medical CenterChinese PLA General HospitalBeijingChina
- School of Graduate StudiesChinese PLA General HospitalBeijingChina
| | - Yiming Mu
- Medical CollegeNankai UniversityTianjinChina
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Cruz-Bautista I, Escamilla-Núñez C, Flores-Jurado Y, Rojas-Martínez R, Elías López D, Muñoz-Hernández L, Mehta R, Almeda-Valdes P, Del Razo-Olvera FM, Aguilar-Salinas CA, Soto-Mota A. Distribution of triglyceride-rich lipoproteins and their remnants and their contribution to cardiovascular risk in the Mexican population. J Clin Lipidol 2024:S1933-2874(24)00185-5. [PMID: 38942690 DOI: 10.1016/j.jacl.2024.05.002] [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: 04/22/2024] [Accepted: 05/12/2024] [Indexed: 06/30/2024]
Abstract
BACKGROUND AND AIMS In recent years, scientific interest in triglyceride-rich lipoproteins (TRL) and remnant cholesterol has increased, focusing on the evidence that these lipoproteins are a causal factor for developing atherosclerotic cardiovascular disease (ASCVD). Furthermore, a high remnant concentration (>38 mg/dL) has been associated with several non-cardiovascular risks. We aimed in this study to describe the percentile distribution of remnant cholesterol. Additionally, we evaluated the association between remnant cholesterol plasma concentration and epidemiologically relevant cardio-metabolic outcomes such as hypertension, type 2 diabetes (T2D), and ASCVD. METHODS We analyzed data from 9,591 adults from the National Survey of Health and Nutrition (ENSANUT) 2018 with fasting blood samples and complete medical history questionnaires. We built multivariate models to evaluate the association between chronic diseases and blood remnant concentration. To compare our 2018-sub-sample against a population reference, we used the NHANES (2005-2014) publicly available datasets by ethnicity. RESULTS Remnants were independently associated with cardiovascular risk, diabetes, hypertension, obesity, and metabolic syndrome. For all outcomes, the blood remnant concentration was a stronger predictor than LDL. At all deciles, the blood remnant concentration was higher in ENSANUT-2018. CONCLUSIONS A remnant blood concentration above 38 mg/dL was highly prevalent among Mexicans. Remnants were significantly associated with a higher risk of diabetes, hypertension, obesity, and cardiovascular risk. This association occurred independently of other lipid markers.
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Affiliation(s)
- I Cruz-Bautista
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota); Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Mehta, Almeda-Valdes)
| | - C Escamilla-Núñez
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico (Drs Escamilla -Núñez, Rojas-Martínez)
| | - Y Flores-Jurado
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota)
| | - R Rojas-Martínez
- Centro de Investigación en Salud Poblacional, Instituto Nacional de Salud Pública, Cuernavaca, Morelos, Mexico (Drs Escamilla -Núñez, Rojas-Martínez)
| | - D Elías López
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota)
| | - L Muñoz-Hernández
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota)
| | - R Mehta
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota); Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Mehta, Almeda-Valdes)
| | - P Almeda-Valdes
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota); Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Mehta, Almeda-Valdes)
| | - F M Del Razo-Olvera
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota)
| | - C A Aguilar-Salinas
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota); Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, México City, Mexico (Drs Aguilar-Salinas, Soto-Mota)
| | - A Soto-Mota
- Unidad de Investigación en Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, México City, Mexico (Drs Cruz-Bautista, Flores Yuscely, Elías López, Muñoz-Hernández, Mehta, Almeda-Valdes, Del Razo-Olvera, Aguilar-Salinas, Soto-Mota); Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, México City, Mexico (Drs Aguilar-Salinas, Soto-Mota).
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Hu X, Lin Y, Appleton AA, Wang W, Yu B, Zhou L, Li G, Zhou Y, Ou Y, Dong H. Remnant cholesterol, iron status and diabetes mellitus: a dose-response relationship and mediation analysis. Diabetol Metab Syndr 2024; 16:65. [PMID: 38475846 DOI: 10.1186/s13098-024-01304-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 03/04/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND Remnant cholesterol (RC) is recognized as a risk factor for diabetes mellitus (DM). Although iron status has been shown to be associated with cholesterol metabolism and DM, the association between RC, iron status, and DM remains unclear. We examined the relationship between RC and iron status and investigated the role of iron status in the association between RC and DM. METHODS A total of 7308 patients were enrolled from the China Health and Nutrition Survey. RC was calculated as total cholesterol minus low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Iron status was assessed as serum ferritin (SF) and total body iron (TBI). DM was ascertained by self-reported physician diagnosis and/or antidiabetic drug use and/or fasting plasma glucose ≥ 126 mg/dL and/or glycated haemoglobin ≥ 6.5%. General linear models were used to evaluate the relationships between RC and iron status. Restricted cubic splines were used to assess the association between RC and DM. Mediation analysis was used to clarified the mediating role of iron status in the association between the RC and DM. RESULTS The average age of the participants was 50.6 (standard deviation = 15.1) years. Higher RC was significantly associated with increased SF (β = 73.14, SE = 3.75, 95% confidence interval [CI] 65.79-80.49) and TBI (β = 1.61, SE = 0.08, 95% CI 1.44-1.78). J-shape relationships were found in the association between RC levels with DM, as well as iron status with DM. Significant indirect effects of SF and TBI in the association between RC and DM were found, with the index mediated at 9.58% and 6.37%, respectively. CONCLUSIONS RC has a dose-response relationship with iron status. The association between RC and DM was mediated in part by iron status. Future studies are needed to confirm these findings and further clarify the underlying mechanism.
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Affiliation(s)
- Xiangming Hu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Cardiology, National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Lin
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Shantou University Medical College, Shantou, Guangdong, China
| | - Allison A Appleton
- Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, State University of New York, 1 University Place, Rensselaer, NY, USA
| | - Weimian Wang
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Bingyan Yu
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Langping Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
- Department of Cardiology, Baoan District Central Hospital, Shenzhen, Guangdong, China
| | - Guang Li
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yingling Zhou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China
| | - Yanqiu Ou
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
| | - Haojian Dong
- Department of Cardiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
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Wu Y, Wei Q, Li H, Yang H, Wu Y, Yu Y, Chen Q, He B, Chen F. Association of remnant cholesterol with hypertension, type 2 diabetes, and their coexistence: the mediating role of inflammation-related indicators. Lipids Health Dis 2023; 22:158. [PMID: 37752554 PMCID: PMC10521406 DOI: 10.1186/s12944-023-01915-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] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 09/03/2023] [Indexed: 09/28/2023] Open
Abstract
PURPOSE Cholesterol metabolism is a risk factor for cardiovascular disease, and recent studies have shown that cholesterol metabolism poses a residual risk of cardiovascular disease even when conventional lipid risk factors are in the optimal range. The association between remnant cholesterol (RC) and cardiovascular disease has been demonstrated; however, its association with hypertension, type 2 diabetes mellitus (T2DM), and the concomitance of the two diseases requires further study. This study aimed to evaluate the association of RC with hypertension, T2DM, and both in a large sample of the U.S. population, and to further explore the potential mechanisms involved. METHODS This cross-sectional study used data from the 2005-2018 cycles of the National Health and Nutrition Examination Survey (N = 17,749). Univariable and multivariable logistic regression analyses were performed to explore the relationships of RC with hypertension, T2DM, and both comorbidities. A restricted cubic spline regression model was used to reveal the dose effect. Mediation analyses were performed to explore the potential mediating roles of inflammation-related indicators in these associations. RESULTS Of the 17,749 participants included (mean [SD] age: 41.57 [0.23] years; women: 8983 (50.6%), men: 8766 (49.4%)), the prevalence of hypertension, T2DM, and their co-occurrence was 32.6%, 16.1%, and 11.0%, respectively. Higher RC concentrations were associated with an increased risk of hypertension, T2DM, and their co-occurrence (adjusted odds ratios for per unit increase in RC were 1.068, 2.259, and 2.362, and 95% confidence intervals were 1.063-1.073, 1.797-2.838, and 1.834-3.041, respectively), with a linear dose-response relationship. Even when conventional lipids were present at normal levels, positive associations were observed. Inflammation-related indicators (leukocytes, lymphocytes, monocytes, and neutrophils) partially mediated these associations. Among these, leukocytes had the greatest mediating effect (10.8%, 14.5%, and 14.0%, respectively). CONCLUSION The results of this study provide evidence that RC is associated with the risk of hypertension, T2DM, and their co-occurrence, possibly mediated by an inflammatory response.
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Affiliation(s)
- Yuxuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Qinfei Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Husheng Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Han Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yuying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yiming Yu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Qiansi Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Baochang He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Fa Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
- Clinical Research Unit, The Second Affiliated Hospital, Fujian Medical University, Quanzhou, China.
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