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Lee HJ, Lee DC, Kim CO. The Association between Serum Lipid Levels and Tinnitus Prevalence and Severity in Korean Elderly: A Nationwide Population-Based Cross-Sectional Study. Yonsei Med J 2024; 65:156-162. [PMID: 38373835 PMCID: PMC10896670 DOI: 10.3349/ymj.2022.0626] [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: 02/08/2023] [Revised: 08/23/2023] [Accepted: 11/07/2023] [Indexed: 02/21/2024] Open
Abstract
PURPOSE We aimed to investigate the association between serum lipid level and tinnitus risk in Korean older adults. MATERIALS AND METHODS This study used data from the 2016-2018 Korea National Health and Nutrition Examination Survey. Overall, 6021 subjects aged ≥60 years were included. Hypertriglyceridemia was defined as a serum triglyceride level of ≥200 mg/dL. The high-risk threshold of the total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C) ratio was defined as above 5.0. The presence of tinnitus was assessed via health interviews. Tinnitus severity was classified as "not annoying," "irritating," and "severely annoying and causing sleep problems." Multivariate logistic regression analysis was performed to examine the association between serum lipid level and tinnitus risk. RESULTS The odds ratio (OR) of tinnitus was 1.27-times higher in the group with hypertriglyceridemia than in the group without hypertriglyceridemia after adjusting for age, sex, hypertension, diabetes, dyslipidemia, anemia, current smoking, obesity, noise exposure, stress cognition, and depressive mood or anxiety [95% confidence interval (CI) 1.04-1.56, p=0.022]. The OR of tinnitus was 1.21-times higher in the group with a high TC/HDL-C ratio than in the group without a high TC/HDL-C ratio after adjusting for the same variables as above (95% CI 1.02-1.44, p=0.025). CONCLUSION This study revealed that hypertriglyceridemia and high TC/HDL-C ratio were significantly associated with an increased OR of tinnitus in Korean older adults.
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Affiliation(s)
- Hye Jun Lee
- Department of Family Medicine, Chung-Ang University Hospital, College of Medicine, Chung-Ang University, Seoul, Korea
| | - Duk Chul Lee
- Department of Family Medicine, Yonsei University College of Medicine, Seoul, Korea.
| | - Choon Ok Kim
- Department of Clinical Pharmacology, Severance Hospital, Yonsei University Health System, Seoul, Korea.
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Paksoy ZB, Kundi FCS. The Value of Plasma Atherogenic Index in Prognosis of Sudden Hearing Loss. J Int Adv Otol 2024; 20:30-34. [PMID: 38454286 PMCID: PMC10895886 DOI: 10.5152/iao.2024.231246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 07/17/2023] [Indexed: 03/09/2024] Open
Abstract
BACKGROUND The impact of lipid parameters on hearing loss has been extensively studied in the literature. However, there is currently no study investigating the prognostic factor of plasma atherogenic index in patients with sudden hearing loss. This study aimed to evaluate the relationship of plasma atherogenic index in patients with sudden hearing loss. METHODS Plasma atherogenic index is calculated using the logarithmic ratio of triglycerides [mg/dL] to high-density lipoprotein cholesterol ([mg/dL]) based on lipid parameters. The patients were divided into tertiles according to their plasma atherogenic index values and the role of plasma atherogenic index on prognosis was investigated among the tertiles. The difference between baseline and control audiometer values for each patient was calculated, and a linear regression analysis was used to determine its statistical significance. RESULTS A total of 84 sudden hearing loss patients (57 male: 68%; 27 female: 32%) were included in the study. The mean age of the study participants was 45.3 ± 14.0. There was an inverse relationship between plasma atherogenic index and difference of audiometer values. Linear regression analyses revealed odds ratio and 95% confidence intervals of 0.405 (0.123-1.331) with P=.135 for 500 Hz, 0.371 (0.071-0.990) with P=.048 for 1000 Hz, 0.319 (0.119-0.851) with P=.024 for 2000 Hz and 0.406 (0.161-0.992) with P=.049 for 4000 Hz. CONCLUSION To the best of our knowledge, this is the first study to demonstrate that plasma atherogenic index can serve as an indicator of a poor prognosis in the treatment of sudden hearing loss.
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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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Baiduc RR, Sun JW, Spankovich C, Vance EA. Tobacco, but Neither Cannabis Smoking Nor Co-Drug Use, Is Associated With Hearing Loss in the National Health and Nutrition Examination Survey, 2011 to 2012 and 2015 to 2016. Ear Hear 2022; 43:1582-1592. [PMID: 35383601 DOI: 10.1097/aud.0000000000001219] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION A relationship between tobacco smoking and hearing loss has been reported; associations with cannabis smoking are unknown. In this cross-sectional population-based study, we examined relationships between hearing loss and smoking (tobacco, cannabis, or co-drug use). METHODS We explored the relationship between hearing loss and smoking among 2705 participants [mean age = 39.41 (SE: 0.36) years] in the National Health and Nutrition Examination Survey (2011 to 12; 2015 to 16). Smoking status was obtained via questionnaire; four mutually exclusive groups were defined: nonsmokers, current regular cannabis smokers, current regular tobacco smokers, and co-drug users. Hearing sensitivity (0.5 to 8 kHz) was assessed, and two puretone averages (PTAs) computed: low- (PTA 0.5,1,2 ) and high-frequency (PTA 3,4,6,8 ). We defined hearing loss as threshold >15 dB HL. Multivariable logistic regression was used to examine sex-specific associations between smoking and hearing loss in the poorer ear (selected based on PTA 0.5,1,2 ) adjusting for age, sex, race/ethnicity, hypertension, diabetes, education, and noise exposure with sample weights applied. RESULTS In the age-sex adjusted model, tobacco smokers had increased odds of low- and high-frequency hearing loss compared with non-smokers [odds ratio (OR) = 1.58, 95% confidence ratio (CI): 1.05 to 2.37 and OR = 1.97, 95% CI: 1.58 to 2.45, respectively]. Co-drug users also had greater odds of low- and high-frequency hearing loss [OR = 2.07, 95% CI: 1.10 to 3.91 and OR = 2.24, 95% CI: 1.27 to 3.96, respectively]. In the fully adjusted multivariable model, compared with non-smokers, tobacco smokers had greater odds of high-frequency hearing loss [multivariable adjusted odds ratio = 1.64, 95% CI: 1.28-2.09]. However, in the fully adjusted model, there were no statistically significant relationships between hearing loss (PTA 0.5,1,2 or PTA 3,4,6,8 ) and cannabis smoking or co-drug use. DISCUSSION Cannabis smoking without concomitant tobacco consumption is not associated with hearing loss. However, sole use of cannabis was relatively rare and the prevalence of hearing loss in this population was low, limiting generalizability of the results. This study suggests that tobacco smoking may be a risk factor for hearing loss but does not support an association between hearing loss and cannabis smoking. More definitive evidence could be derived using physiological measures of auditory function in smokers and from longitudinal studies.
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Affiliation(s)
- Rachael R Baiduc
- Department of Speech, Language, and Hearing Sciences, University of Colorado Boulder, Colorado, USA
| | - Joshua W Sun
- Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, USA
| | - Christopher Spankovich
- Department of Otolaryngology-Head and Neck Surgery Jackson, University of Mississippi Medical Center, Mississippi, USA
| | - Eric A Vance
- Department of Applied Mathematics, University of Colorado Boulder, Boulder, Colorado, USA
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Cui X, Xing R, Tian Y, Wang M, Sun Y, Xu Y, Yang Y, Zhao Y, Xie L, Xiao Y, Li D, Zheng B, Liu M, Chen H. The G2A Receptor Deficiency Aggravates Atherosclerosis in Rats by Regulating Macrophages and Lipid Metabolism. Front Physiol 2021; 12:659211. [PMID: 34381373 PMCID: PMC8351205 DOI: 10.3389/fphys.2021.659211] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 04/13/2021] [Indexed: 11/16/2022] Open
Abstract
The orphan G protein-coupled receptor G2A has been linked to atherosclerosis development. However, available data from mouse models are controversial. Rat G2A receptor bears more similarities with its human homolog. We proposed that the atherosclerosis model established from Ldlr–/– rat, which has been reported to share more similar phenotypes with the human disease, may help to further understand this lipid receptor. G2A deletion was found markedly aggravated in the lipid disorder in the rat model, which has not been reported in mouse studies. Examination of aortas revealed exacerbated atherosclerotic plaques in G2A deficient rats, together with increased oxidative stress and macrophage accumulation. In addition, consistently promoted migration and apoptosis were noticed in G2A deficient macrophages, even in macrophages from G2A single knockout rats. Further analysis found significantly declined phosphorylation of PI3 kinase (PI3K) and AKT, together with reduced downstream genes Bcl2 and Bcl-xl, suggesting possible involvement of PI3K/AKT pathway in G2A regulation to macrophage apoptosis. These data indicate that G2A modulates atherosclerosis by regulating lipid metabolism and macrophage migration and apoptosis. Our study provides a new understanding of the role of G2A in atherosclerosis, supporting it as a potential therapeutic target.
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Affiliation(s)
- Xueqin Cui
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Roumei Xing
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yue Tian
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Man Wang
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yue Sun
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yongqian Xu
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yiqing Yang
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yongliang Zhao
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Ling Xie
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Yufang Xiao
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Dali Li
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Biao Zheng
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China.,Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX, United States
| | - Mingyao Liu
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
| | - Huaqing Chen
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, Institute of Biomedical Sciences, East China Normal University, Shanghai, China
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