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Liu JY, Yi YZ, Guo QW, Jia KX, Li XC, Cai JJ, Shen YL, Su GM, Chen X, Zhang XY, Fang DZ, Hong H, Lin J. Associations of ACE I/D and AGTR1 rs5182 polymorphisms with diabetes and their effects on lipids in an elderly Chinese population. Lipids Health Dis 2024; 23:231. [PMID: 39080710 PMCID: PMC11290002 DOI: 10.1186/s12944-024-02222-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: 05/12/2024] [Accepted: 07/21/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND Diabetes mellitus is generally accompanied by dyslipidaemia, but inconsistent relationships between lipid profiles and diabetes are noted. Moreover, genetic variations in insertion/deletion (I/D) polymorphisms at angiotensin-converting enzyme gene (ACE) and T/C polymorphisms in the angiotensin type 1 receptor gene (AGTR1) are related to diabetes and lipid levels, but the associations are controversial. Thus, the current research aimed to explore the effects of ACE I/D, AGTR1 rs5182 and diabetes mellitus on serum lipid profiles in 385 Chinese participants with an average age of 75.01 years. METHODS The ACE I/D variant was identified using the polymerase chain reaction (PCR) method, whereas the AGTR1 rs5182 polymorphism was identified using the PCR-based restriction fragment length polymorphism (PCR-RFLP) method and verified with DNA sequencing. Total cholesterol (TC), triglyceride (TG), apolipoprotein A (ApoA), apolipoprotein B (ApoB), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels were measured using routine methods, and the lipid ratios were calculated. RESULTS ACE I/D, but not AGTR1 rs5182, was a predictor of TG/HDL-C for the whole study population. Both ACE I/D and AGTR1 rs5182 were predictors of HDL-C and LDL-C levels in females but not in males. Moreover, in females, diabetes mellitus and ACE I/D were identified as predictors of TG and TG/HDL-C, whereas AGTR1 rs5182 and diabetes mellitus were predictors of TG/HDL-C. Moreover, diabetes mellitus and the combination of ACE I/D and AGTR1 rs5182 variations were predictors of TG and TG/HDL-C exclusively in females. CONCLUSIONS The results demonstrated the potential for gender-dependent interactions of ACE I/D, AGTR1 rs5182, and diabetes on lipid profiles. These findings may serve as an additional explanation for the inconsistent changes of blood lipids in individuals with diabetes mellitus, thereby offering a novel perspective for the clinical management of blood lipid levels in diabetic patients.
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Affiliation(s)
- Jun Yi Liu
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Yan Zhi Yi
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Qi Wei Guo
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Ke Xin Jia
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Xue Cheng Li
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Jia Jing Cai
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Yi Lin Shen
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Guo Ming Su
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Xu Chen
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Xing Yu Zhang
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Ding Zhi Fang
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China
| | - Hao Hong
- Department of Spinal Surgery, Chongqing Orthopedic Hospital of Traditional Chinese Medicine, Chongqing, P. R. China.
- Department of Orthopaedic Surgery, Second Affiliated Hospital of Chongqing Medical University, Chongqing, P. R. China.
| | - Jia Lin
- Department of Biochemistry and Molecular Biology, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, P. R. China.
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Jing Y, Zhou H, Lu H, Chen X, Zhou L, Zhang J, Wu J, Dong C. Associations Between Peripheral Blood Microbiome and the Risk of Hypertension. Am J Hypertens 2021; 34:1064-1070. [PMID: 34105723 DOI: 10.1093/ajh/hpab084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 04/29/2021] [Accepted: 06/08/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Although previous studies have reported the gut microbiome is closely related to hypertension development, whether the change in blood microbiome is associated with the risk of hypertension remains unclear. METHODS One hundred and fifty incident hypertension cases and 150 age (± 2 years) and gender (1:1) matched nonhypertension controls included in this nested case-control study were recruited from a prospective cohort study of "135." The composition of the blood microbiome was characterized using bacterial 16S ribosomal RNA gene sequencing. The relative abundance of detected bacteria was converted to a negative logarithm of 10 for the statistical analysis. RESULTS Totally, 10,689,961 high-quality sequences were acquired. The Chao1 index of the blood microbiome in nonhypertension controls was significantly higher than in hypertensive group (2,302.08 ± 752.78 vs. 1,598.21 ± 500.88, P < 0.001). Compared with the nonhypertension controls, the relative abundance of Proteobacteria phylum was significantly increased (P < 0.001), whereas the relative abundance of phyla Firmicutes and Bacteroidetes were significantly reduced in the hypertensive cases (P < 0.001 and P = 0.039, respectively). At genus level, the risk of hypertension was directly associated with the relative abundance of Acinetobacter (odds ratio [OR]: 1.43, 95% confidence interval [CI]: 1.01-2.03), Sphingomonas (OR: 1.84, 95% CI: 1.32-2.56), and Staphylococcus (OR: 0.51, 95% CI: 0.36-0.73), respectively. In addition, the relative abundance of Pseudomonas was minor positively correlated with the total cholesterol level. However, the relative Staphylococcus level was minor positively correlated with high-density lipoprotein cholesterol level. CONCLUSIONS The composition of the blood microbiome is significantly associated with the development of hypertension.
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Affiliation(s)
- Yang Jing
- Department of Epidemiology and Statistics, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu, China
- Department of noncommunicable disease control and prevention, Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Hui Zhou
- Department of noncommunicable disease control and prevention, Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Honghong Lu
- Department of endocrinology, Suzhou Shili Hospital, Soochow, China
| | - Xiaofang Chen
- Department of noncommunicable disease control and prevention, Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Liangyue Zhou
- Department of noncommunicable disease control and prevention, Suzhou Industrial Park Centers for Disease Control and Prevention, Soochow, China
| | - Jingqi Zhang
- Department of Epidemiology and Statistics, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Jing Wu
- Department of Epidemiology and Statistics, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu, China
| | - Chen Dong
- Department of Epidemiology and Statistics, School of Public Health, Medical College of Soochow University, Soochow, Jiangsu, China
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Mitochondrial Mutations and Genetic Factors Determining NAFLD Risk. Int J Mol Sci 2021; 22:ijms22094459. [PMID: 33923295 PMCID: PMC8123173 DOI: 10.3390/ijms22094459] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 04/21/2021] [Accepted: 04/22/2021] [Indexed: 02/07/2023] Open
Abstract
NAFLD (non-alcoholic fatty liver disease) is a widespread liver disease that is often linked with other life-threatening ailments (metabolic syndrome, insulin resistance, diabetes, cardiovascular disease, atherosclerosis, obesity, and others) and canprogress to more severe forms, such as NASH (non-alcoholic steatohepatitis), cirrhosis, and HCC (hepatocellular carcinoma). In this review, we summarized and analyzed data about single nucleotide polymorphism sites, identified in genes related to NAFLD development and progression. Additionally, the causative role of mitochondrial mutations and mitophagy malfunctions in NAFLD is discussed. The role of mitochondria-related metabolites of the urea cycle as a new non-invasive NAFLD biomarker is discussed. While mitochondria DNA mutations and SNPs (single nucleotide polymorphisms) canbe used as effective diagnostic markers and target for treatments, age and ethnic specificity should be taken into account.
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Shi X, Wei YT, Li H, Jiang T, Zheng XL, Yin K, Zhao GJ. Long non-coding RNA H19 in atherosclerosis: what role? Mol Med 2020; 26:72. [PMID: 32698876 PMCID: PMC7374855 DOI: 10.1186/s10020-020-00196-w] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 07/07/2020] [Indexed: 12/14/2022] Open
Abstract
Atherosclerosis (AS) is widely accepted to be a multistep pathophysiological process associated with several other processes such as angiogenesis and inflammatory response. Long non-coding RNAs (lncRNAs) are non-protein coding RNAs (more than 200 nucleotides in length) and can regulate gene expression at the transcriptional and post-transcriptional levels. Recent studies suggest that lncRNA-H19 plays important roles in the regulation of angiogenesis, adipocyte differentiation, lipid metabolism, inflammatory response, cellular proliferation and apoptosis. In this review, we primarily discuss the roles of lncRNA-H19 in atherosclerosis-related pathophysiological processes and the potential mechanisms by which lncRNA-H19 regulates the development of atherosclerosis, to help provide a better understanding of the biological functions of lncRNA-H19 in atherosclerosis.
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Affiliation(s)
- Xian Shi
- School of Medicine, Guilin Medical University, Guilin, 541100, Guangxi, China
| | - Ya-Ting Wei
- School of Medicine, Guilin Medical University, Guilin, 541100, Guangxi, China
| | - Heng Li
- Institute of Cardiovascular Research, Key Laboratory for Arteriosclerology of Hunan Province, University of South China, Hengyang, 421001, Hunan, China
| | - Ting Jiang
- The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan City People's Hospital, Qingyuan, 511518, Guangdong, China
| | - Xi-Long Zheng
- Department of Biochemistry and Molecular Biology, The Libin Cardiovascular Institute of Alberta, The University of Calgary, Health Sciences Center, Calgary, AB, Canada.,Key Laboratory of Molecular Targets and Clinical Pharmacology, School of Pharmaceutical Sciences, Guangzhou Medical University, Guangzhou, 511436, Guangdong, China
| | - Kai Yin
- Center for Diabetic Systems Medicine, Guangxi Key Laboratory of Excellence, The Second Affiliated Hospital of Guilin Medical University, Guilin, 541100, Guangxi, China.
| | - Guo-Jun Zhao
- The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan City People's Hospital, Qingyuan, 511518, Guangdong, China.
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