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Hou X, Tian F, Guo L, Yu Y, Hu Y, Chen S, Wang M, Yang Z, Wang J, Fan X, Xing L, Wu S, Zhang N. Remnant cholesterol is associated with hip BMD and low bone mass in young and middle-aged men: a cross-sectional study. J Endocrinol Invest 2024; 47:1657-1665. [PMID: 38183565 DOI: 10.1007/s40618-023-02279-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 12/08/2023] [Indexed: 01/08/2024]
Abstract
PURPOSE Remnant cholesterol (RC) is a contributor to cardiovascular diseases, obesity, diabetes, and metabolic syndrome. However, the specific relationship between RC and bone metabolism remains unexplored. Therefore, we aimed to investigate the relationships of RC with hip bone mineral density (BMD) and the risk of low bone mass. METHODS Physical examination data was collected from men aged < 60 years as part of the Kailuan Study between 2014 and 2018. The characteristics of the participants were compared between RC quartile groups. A generalized linear regression model was used to evaluate the relationship between RC and hip BMD and a logistic regression model was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for low bone mass. Additional analyses were performed after stratification by body mass index (BMI) (≥ or < 24 kg/m2). Sensitivity analyses were performed by excluding individuals who were taking lipid-lowering therapy or had cancer, cardiovascular diseases, or diabetes. RESULTS Data from a total of 7,053 participants were included in the analysis. After adjustment for confounding factors, RC negatively correlated with hip BMD (β = - 0.0079, 95% CI: - 0.0133, - 0.0025). The risk of low bone mass increased from the lowest to the highest RC quartile, with ORs of 1 (reference), 1.09 (95% CI: (0.82, 1.44), 1.35 (95%CI: 1.02, 1.77), and 1.43 (95% CI: 1.09, 1.89) for Q1, Q2, Q3, and Q4, respectively (P for trend = 0.004) in the fully adjusted model. Compared to RC < 0.80 mmol/l group, the risk of low bone mass increased 39% in RC ≥ 0.80 mmol/l group (P < 0.001). The correlation between RC and hip BMD was stronger in participants with BMI ≥ 24 kg/m2 group (β = - 0.0159, 95% CI: - 0.0289, - 0.0029). The results of sensitivity analyses were consistent with the main results. CONCLUSION We have identified a negative correlation between serum RC and hip BMD, and a higher RC concentration was found to be associated with a greater risk of low bone mass in young and middle-aged men.
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Affiliation(s)
- X Hou
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - F Tian
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - L Guo
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - Y Yu
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - Y Hu
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - S Chen
- Kailuan General Hospital, Tangshan, People's Republic of China
| | - M Wang
- Beijing Jishuitan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Z Yang
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - J Wang
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
| | - X Fan
- Kailuan General Hospital, Tangshan, People's Republic of China
| | - L Xing
- School of Public Health, North China University of Science and Technology, Tangshan, People's Republic of China
- Affiliated Hospital of North China University of Science and Technology, Tangshan, People's Republic of China
| | - S Wu
- Kailuan General Hospital, Tangshan, People's Republic of China.
| | - N Zhang
- Kailuan General Hospital, Tangshan, People's Republic of China.
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Li X, Yan M, Ji J, Ma Z. Non-diabetic elderly populations: the MHR as a protective factor against bone abnormalities. Front Endocrinol (Lausanne) 2024; 15:1408467. [PMID: 38911035 PMCID: PMC11190061 DOI: 10.3389/fendo.2024.1408467] [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: 03/28/2024] [Accepted: 05/20/2024] [Indexed: 06/25/2024] Open
Abstract
Objectives In China, osteoporosis has become a major health concern among elderly population, imposing significant burden on the country's social and economic systems. The monocyte to high-density lipoprotein ratio (MHR) has been currently recommended as a novel marker of inflammation and oxidative stress associated with osteoporosis in type 2 diabetes mellitus (T2DM). However, its reliability in non-diabetic elderly populations remains unclear. The present study was to evaluate the association between MHR and osteoporosis in a non-diabetic elderly population. Methods The clinical data of 240 non-diabetic elderly subjects (115 in the osteoporosis group and 125 in the normal bone group) were retrospectively analyzed and all statistical analyses were performed by using SPSS 26.0. Results Differences in age, neutrophils, lymphocytes, monocytes, MHR, uric acid, creatinine, triglycerides,and high-density lipoprotein cholesterol were found to be statistically significant between the two groups. A binary logistic regression model was conducted by including age, MHR, UA and Cr as variables. The results showed that age was an independent risk factor and MHR was an independent protective factor for bone abnormality in the non-diabetic elderly population. The ROC analysis showed that the area under the curve for the predictive effect of MHR, age and their combined test on osteoporosis in non-diabetic elderly populations was 0.623, 0.728 and 0.761, respectively; the correlation analysis showed that MHR was positively correlated with lumbar and hip BMD, and negatively associated with femoral neck stress ratio, femoral intertrochanteric stress ratio, and femoral stem stress ratio, showing statistically significant differences (P<0.05). Conclusions For the non-diabetic elderly population: the MHR is a protective factor against bone abnormalities and was significantly higher in the normal bone group than in the abnormal bone group.
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Affiliation(s)
- Xiang Li
- Department of Orthopedic, Guangdong, Provincial Hospital of Chinese Medicine, Guangzhou, Guangdong, China
| | - Manli Yan
- Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Jiali Ji
- Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
| | - Zhuohao Ma
- Second Clinical Medical College, Guangzhou University of Traditional Chinese Medicine, Guangzhou, China
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Chen M, Pu L, Gan Y, Wang X, Kong L, Guo M, Yang H, Li Z, Xiong Z. The association between variability of risk factors and complications in type 2 diabetes mellitus: a retrospective study. Sci Rep 2024; 14:6357. [PMID: 38491155 PMCID: PMC10943073 DOI: 10.1038/s41598-024-56777-w] [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: 08/10/2023] [Accepted: 03/11/2024] [Indexed: 03/18/2024] Open
Abstract
The variability in diabetes risk factors, such as uric acid and lipids, may influence the development of complications. This study aimed to investigate the influence of such variability on the occurrence of diabetic complications. A retrospective analysis of electronic medical records was conducted with type 2 diabetic patients who received treatment at a tertiary care hospital in Chengdu, Sichuan Province, between 2013 and 2022. The risk factor variability is presented as the standard deviation (SD). The associations between the variability and complications were examined using a binary logistic regression model. The study included 369 patients with type 2 diabetes. The findings revealed that outpatient special disease management served as a protective factor against the development of complications [OR = 0.53, 95% confidence interval (CI) (0.29-0.10)], particularly for the prevention of diabetic peripheral neuropathy [OR = 0.51, 95% CI (0.30-0.86)]. Variability in total cholesterol (TC-SD) was found to be a risk factor for the development of complications [OR = 2.42, 95% CI (1.18-4.97)] and acted as a risk factor for diabetic peripheral vasculopathy [OR = 2.50, 95% CI (1.25-5.02)]. TC-SD is a risk factor for the occurrence of diabetic peripheral neuropathy and diabetic peripheral vasculopathy, whereas outpatient special disease management functions as a protective factor against complications and diabetic peripheral neuropathy. Thus, in addition to glycaemic control, the regulation of lipid levels should be emphasized, particularly among patients without outpatient special disease management, to delay the onset of complications.
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Affiliation(s)
- Mengjie Chen
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China
| | - Lihui Pu
- Menzies Health Institute Queensland, Griffith University, Brisbane, QLD, 4111, Australia
- School of Nursing and Midwifery, Griffith University, Queensland, Australia
- Erasmus MC, University Medical Centre Rotterdam, Department Internal Medicine, Section Nursing Science, Rotterdam, The Netherlands
| | - Yuqin Gan
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China
| | - Xiaoxia Wang
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China
| | - Laixi Kong
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China
| | - Maoting Guo
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China
| | - Huiqi Yang
- Nanbu County People's Hospital, Nanchong, 637300, Sichuan, China
| | - Zhe Li
- Mental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Road, Chengdu, 610041, Sichuan, China.
- Sichuan Clinical Medical Research Center for Mental Disorders, No. 28 Dianxin South Road, Chengdu, 610041, Sichuan, China.
| | - Zhenzhen Xiong
- School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
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