Wanhui Kang, Xinming Xu, Xiaowei Yang, Qingqing Wu, Shuning Li, Keran Gao, Rong Zeng, Liang Sun, Xu Lin
{"title":"中国中老年人血浆脂质体特征与尿酸和高尿酸血症风险的关系","authors":"Wanhui Kang, Xinming Xu, Xiaowei Yang, Qingqing Wu, Shuning Li, Keran Gao, Rong Zeng, Liang Sun, Xu Lin","doi":"10.1007/s43657-024-00157-x","DOIUrl":null,"url":null,"abstract":"<p><p>Little is known about the links of disturbed lipid metabolism with hyperuricemia (HUA). We aimed to investigate the associations of lipidomic profiles with uric acid (UA)/HUA and their modifying factors in middle-aged and elderly Chinese. A total of 350 lipids were quantified in 2247 community-based Chinese aged 50-70 years by high-coverage targeted lipidomics. HUA was defined by plasma UA > 420 μmol/L in men or > 360 μmol/L in women. The prevalence of HUA in this population was 10.4%. After multivariable adjustment including BMI and lifestyle, 123 lipids were significantly associated with UA, predominantly glycerolipids (GLs) and glycerophospholipids (GPs). Specifically, diacylglycerol [DAG (16:0/22:5), DAG (16:0/22:6), DAG (18:1/20:5), DAG (18:1/22:6)], phosphatidylcholine [PC (16:0/20:5)), and triacylglycerol (TAG (53:0)] were the most significant lipid signatures positively associated with HUA risk, while lysophosphatidylcholine (LPC (20:2)) was inversely associated with HUA risk (<i>p</i> < 0.05). Network analysis also showed a positive association between TAGs/PCs/DAGs contained module and HUA risk (<i>p</i> < 0.01). Notably, HUA-related lipids were associated with de novo lipogenesis fatty acids, especially 16:1n-7 (Spearman correlation coefficients = 0.32-0.41, <i>p</i> < 0.001). Reduced rank regression showed that increased aquatic products intake was correlated to elevated HUA risk and HUA-associated lipids; while high dairy consumption was correlated with low level of HUA-associated lipids (|factor loadings| ≥ 0.2). Moreover, mediation analyses suggested that the lipid-HUA associations were partially mediated by retinol-binding protein 4 (RBP4, mediation proportion 5-14%), an adipokine linked with dyslipidemia and insulin resistance. In conclusion, disturbed specific metabolisms of GLs and GPs were associated with high prevalent HUA, partially mediated by RBP4 and/or influenced by certain dietary factors.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s43657-024-00157-x.</p>","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"4 4","pages":"352-364"},"PeriodicalIF":3.7000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11584823/pdf/","citationCount":"0","resultStr":"{\"title\":\"Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese.\",\"authors\":\"Wanhui Kang, Xinming Xu, Xiaowei Yang, Qingqing Wu, Shuning Li, Keran Gao, Rong Zeng, Liang Sun, Xu Lin\",\"doi\":\"10.1007/s43657-024-00157-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Little is known about the links of disturbed lipid metabolism with hyperuricemia (HUA). We aimed to investigate the associations of lipidomic profiles with uric acid (UA)/HUA and their modifying factors in middle-aged and elderly Chinese. A total of 350 lipids were quantified in 2247 community-based Chinese aged 50-70 years by high-coverage targeted lipidomics. HUA was defined by plasma UA > 420 μmol/L in men or > 360 μmol/L in women. The prevalence of HUA in this population was 10.4%. After multivariable adjustment including BMI and lifestyle, 123 lipids were significantly associated with UA, predominantly glycerolipids (GLs) and glycerophospholipids (GPs). Specifically, diacylglycerol [DAG (16:0/22:5), DAG (16:0/22:6), DAG (18:1/20:5), DAG (18:1/22:6)], phosphatidylcholine [PC (16:0/20:5)), and triacylglycerol (TAG (53:0)] were the most significant lipid signatures positively associated with HUA risk, while lysophosphatidylcholine (LPC (20:2)) was inversely associated with HUA risk (<i>p</i> < 0.05). Network analysis also showed a positive association between TAGs/PCs/DAGs contained module and HUA risk (<i>p</i> < 0.01). Notably, HUA-related lipids were associated with de novo lipogenesis fatty acids, especially 16:1n-7 (Spearman correlation coefficients = 0.32-0.41, <i>p</i> < 0.001). Reduced rank regression showed that increased aquatic products intake was correlated to elevated HUA risk and HUA-associated lipids; while high dairy consumption was correlated with low level of HUA-associated lipids (|factor loadings| ≥ 0.2). Moreover, mediation analyses suggested that the lipid-HUA associations were partially mediated by retinol-binding protein 4 (RBP4, mediation proportion 5-14%), an adipokine linked with dyslipidemia and insulin resistance. 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引用次数: 0
摘要
人们对脂质代谢紊乱与高尿酸血症(HUA)之间的关系知之甚少。我们的目的是研究中国中老年人血脂组学特征与尿酸(UA)/高尿酸血症的关系及其影响因素。我们采用高覆盖率靶向血脂组学方法,对 2247 名 50-70 岁中国社区居民的 350 种血脂进行了定量分析。男性血浆 UA > 420 μmol/L,女性血浆 UA > 360 μmol/L,即为 HUA。该人群的 HUA 患病率为 10.4%。经过包括体重指数和生活方式在内的多变量调整后,123种血脂与尿酸显著相关,主要是甘油三酯(GLs)和甘油磷脂(GPs)。具体来说,二酰甘油[DAG(16:0/22:5)、DAG(16:0/22:6)、DAG(18:1/20:5)、DAG(18:1/22:6)]、磷脂酰胆碱[PC(16:0/20:5)]和三酰甘油(TAG(53:而溶血磷脂酰胆碱(LPC (20:2))则与 HUA 风险成反比(p p p 补充信息):在线版本包含补充材料,可查阅 10.1007/s43657-024-00157-x。
Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese.
Little is known about the links of disturbed lipid metabolism with hyperuricemia (HUA). We aimed to investigate the associations of lipidomic profiles with uric acid (UA)/HUA and their modifying factors in middle-aged and elderly Chinese. A total of 350 lipids were quantified in 2247 community-based Chinese aged 50-70 years by high-coverage targeted lipidomics. HUA was defined by plasma UA > 420 μmol/L in men or > 360 μmol/L in women. The prevalence of HUA in this population was 10.4%. After multivariable adjustment including BMI and lifestyle, 123 lipids were significantly associated with UA, predominantly glycerolipids (GLs) and glycerophospholipids (GPs). Specifically, diacylglycerol [DAG (16:0/22:5), DAG (16:0/22:6), DAG (18:1/20:5), DAG (18:1/22:6)], phosphatidylcholine [PC (16:0/20:5)), and triacylglycerol (TAG (53:0)] were the most significant lipid signatures positively associated with HUA risk, while lysophosphatidylcholine (LPC (20:2)) was inversely associated with HUA risk (p < 0.05). Network analysis also showed a positive association between TAGs/PCs/DAGs contained module and HUA risk (p < 0.01). Notably, HUA-related lipids were associated with de novo lipogenesis fatty acids, especially 16:1n-7 (Spearman correlation coefficients = 0.32-0.41, p < 0.001). Reduced rank regression showed that increased aquatic products intake was correlated to elevated HUA risk and HUA-associated lipids; while high dairy consumption was correlated with low level of HUA-associated lipids (|factor loadings| ≥ 0.2). Moreover, mediation analyses suggested that the lipid-HUA associations were partially mediated by retinol-binding protein 4 (RBP4, mediation proportion 5-14%), an adipokine linked with dyslipidemia and insulin resistance. In conclusion, disturbed specific metabolisms of GLs and GPs were associated with high prevalent HUA, partially mediated by RBP4 and/or influenced by certain dietary factors.
Supplementary information: The online version contains supplementary material available at 10.1007/s43657-024-00157-x.