|
1
|
Chen K, Gao P, Fang X, Tang K, Ouyang P, Li Z, Li L, Deng Z. Causal relationship between lipid profile and muscle atrophy: A bi-directional Mendelian randomization study. Animal Model Exp Med 2023. [PMID: 38155504 DOI: 10.1002/ame2.12373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Accepted: 11/24/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND The aim of this study was to analyze the bi-directional causal relationship between lipid profile and characteristics related to muscle atrophy by using a bi-directional Mendelian randomization (MR) analysis. METHODS The appendicular lean mass (ALM), whole body fat-free mass (WBFFM) and trunk fat-free mass (TFFM) were used as genome-wide association study (GWAS) data for evaluating muscle mass; the usual walking pace (UWP) and low grip strength (LGS) were used as GWAS data for evaluating muscle strength; and the triglycerides (TG), total cholesterol (TC), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), apolipoprotein A-1 (Apo A-1), and apolipoprotein B (Apo B) were used as GWAS data for evaluating lipid profile. For specific investigations, we mainly employed inverse variance weighting for causal estimation and MR-Egger for pleiotropy analysis. RESULTS MR results showed that the lipid profile predicted by genetic variants was negatively correlated with muscle mass, positively correlated with UWP, and was not causally correlated with LGS. On the other hand, the muscle mass predicted by genetic variants was negatively correlated with lipid profile, the UWP predicted by genetic variants was mainly positively correlated with lipid profile, while the LGS predicted by genetic variants had no relevant causal relationship with lipid profile. CONCLUSIONS Findings of this MR analysis suggest that hyperlipidemia may affect muscle mass and lead to muscle atrophy, but has no significant effect on muscle strength. On the other hand, increased muscle mass may reduce the incidence of dyslipidemia.
Collapse
Affiliation(s)
- Kun Chen
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Peng Gao
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Xiaoxiang Fang
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Kexing Tang
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Pan Ouyang
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Zongchao Li
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Liangjun Li
- Department of Orthopaedics, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan, China
| | - Zhenhan Deng
- Department of Orthopaedic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| |
Collapse
|
|
2
|
Kim S, Lee JW, Lee Y, Song Y, Linton JA. Association between triglyceride-glucose index and low-density lipoprotein particle size in korean obese adults. Lipids Health Dis 2023; 22:94. [PMID: 37403101 DOI: 10.1186/s12944-023-01857-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 06/22/2023] [Indexed: 07/06/2023] Open
Abstract
BACKGROUND Small dense low-density lipoprotein cholesterol (sdLDL-C) is the lipoprotein marker among the various lipoproteins that is most strongly related to atherosclerosis. Insulin resistance (IR) can alter lipid metabolism, and sdLDL-C is characteristic of diabetic dyslipidemia. Therefore, this study sought to inspect the relationship between the triglyceride-glucose (TyG) index and mean low-density lipoprotein (LDL) particle size. METHODS In this study, a total of 128 adults participated. The correlation coefficients between various lipoproteins and the TyG index were compared using Steiger's Z test and the Spearman correlation. The independent link between the TyG index and mean LDL particle size was demonstrated by multiple linear regression analysis. To identify the TyG index cutoff value for the predominance of sdLDL particles, receiver operating characteristic curves were plotted. RESULTS Mean LDL particle size correlated more strongly with the TyG index than did very low-density lipoprotein, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol. Regression analysis demonstrated that mean LDL particle size had a strong association with the TyG index (β coefficient = -0.038, P-value < 0.001). The TyG index optimal cutoff value for sdLDL particle predominance and the corresponding area under the curve (standard error: 0.028, 95% confidence interval: 0.842-0.952) were 8.72 and 0.897, respectively, which were close to the cutoff value of diabetes risk in Koreans. CONCLUSIONS Mean LDL particle size is more strongly correlated with the TyG index than do other lipid parameters. After correcting for confounding variables, mean LDL particle size is independently linked with the TyG index. The study indicates that the TyG index is strongly related to atherogenic sdLDL particles predominance.
Collapse
Affiliation(s)
- Sanghoon Kim
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
| | - Ji-Won Lee
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea
- Institute for Innovation in Digital Healthcare, Yonsei University, Seoul, 06237, Republic of Korea
| | - Yaeji Lee
- Department of Biostatistics and Computing, Yonsei University, Seoul, 03722, Republic of Korea
| | - Youhyun Song
- Healthcare Research Team, Health Promotion Center, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 06273, Republic of Korea.
| | - John A Linton
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.
- International Health Care Center, Severance Hospital, Yonsei University Health System, Seoul, 03722, Republic of Korea.
| |
Collapse
|
|
3
|
Lin WT, Chin YT, Wu PW, Tsai S, Chen MH, Chang CI, Yang YC, Lee CY, Seal DW, Lee CH. Multilevel Understanding of the Impact of Individual- and School-Level Determinants on Lipid Profiles in Adolescents: The Cross-Level Interaction of Food Environment and Body Mass Index. Nutrients 2022; 14:nu14102068. [PMID: 35631209 PMCID: PMC9146111 DOI: 10.3390/nu14102068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/12/2022] [Accepted: 05/12/2022] [Indexed: 02/01/2023] Open
Abstract
Adolescents with comparable personal risk factors may have different lipid profiles because of the school’s context. Lipid determinants in adolescents should be considered using a multilevel perspective. This multilevel study investigated the effects of individual-level and school-level factors on lipid profiles in adolescents and evaluated the cross-level influence of lipid determinants. A representative adolescent cohort (n = 2727) was randomly selected from 36 schools in three diverse economic areas in Taiwan and assessed for their personal dietary patterns, physical parameters, and lipid profiles. For individual-level factors, both low physical activity and high body mass index (BMI) were associated with elevated triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) levels, and a sugar-sweetened beverage intake of >500 mL/day was associated with increases of 5.97 and 6.12 mg/dL in LDL-C and TC levels, respectively, compared with abstinence. Regarding school-level factors, students in schools with ≥2 health promotion programs per year had a 5.27 mg/dL lower level of LDL-C than those in schools with 0−1 program, and students in schools with ≥46 food outlets within 600 m of the school had 6.90 and 13.3 mg/dL higher levels of TG and TC, respectively, than those in schools with <46 food outlets. School context modified the individual-level positive correlation between BMI and TG level (the p-value for the random-slope effect was 0.003). In conclusion, individual-level and school-level factors exert a multilevel effect on adolescent lipid profiles. The food environment near the school has a stronger cross-level impact on individual TG levels in adolescents with a high BMI than in those with a normal BMI.
Collapse
Affiliation(s)
- Wei-Ting Lin
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA; (W.-T.L.); (D.W.S.)
| | - Yu-Ting Chin
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
| | - Pei-Wen Wu
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
| | - Sharon Tsai
- Department of Laboratory Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 81267, Taiwan;
| | - Meng-Hsueh Chen
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
- Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan 71742, Taiwan
| | - Chiao-I Chang
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
| | - Yu-Cheng Yang
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
| | - Chun-Ying Lee
- Department of Family Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan;
| | - David W. Seal
- Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA; (W.-T.L.); (D.W.S.)
| | - Chien-Hung Lee
- Department of Public Health, College of Health Sciences, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; (Y.-T.C.); (P.-W.W.); (M.-H.C.); (C.-I.C.); (Y.-C.Y.)
- Research Center for Environmental Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Office of Institutional Research & Planning, Secretariat, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Correspondence: ; Tel.: +886-7-312-1101 (ext. 2314)
| |
Collapse
|