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...
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| Veröffentlicht in: | Phenomics (Cham, Switzerland) Switzerland), 2024-08, Vol.4 (4), p.352-364 |
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| creator | Kang, Wanhui Xu, Xinming Yang, Xiaowei Wu, Qingqing Li, Shuning Gao, Keran Zeng, Rong Sun, Liang Lin, Xu |
| description | 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 (
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| doi_str_mv | 10.1007/s43657-024-00157-x |
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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.</description><identifier>ISSN: 2730-583X</identifier><identifier>ISSN: 2730-5848</identifier><identifier>EISSN: 2730-5848</identifier><identifier>DOI: 10.1007/s43657-024-00157-x</identifier><identifier>PMID: 39583309</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Biomedical and Life Sciences ; Biomedical Engineering/Biotechnology ; Biomedicine ; Genetics and Genomics ; Human Genetics</subject><ispartof>Phenomics (Cham, Switzerland), 2024-08, Vol.4 (4), p.352-364</ispartof><rights>The Author(s) 2024</rights><rights>The Author(s) 2024.</rights><rights>The Author(s) 2024 2024</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c328t-89e93bf9686f593464e82eb7a37e3144e730f75ac74aaae0db6b175307f187773</cites><orcidid>0009-0005-3121-8138 ; 0000-0001-6735-5883 ; 0000-0003-2649-2173 ; 0000-0002-5554-4801 ; 0009-0007-1299-1605 ; 0000-0001-8087-2420 ; 0000-0001-8876-9823</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s43657-024-00157-x$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s43657-024-00157-x$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39583309$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kang, Wanhui</creatorcontrib><creatorcontrib>Xu, Xinming</creatorcontrib><creatorcontrib>Yang, Xiaowei</creatorcontrib><creatorcontrib>Wu, Qingqing</creatorcontrib><creatorcontrib>Li, Shuning</creatorcontrib><creatorcontrib>Gao, Keran</creatorcontrib><creatorcontrib>Zeng, Rong</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Lin, Xu</creatorcontrib><title>Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese</title><title>Phenomics (Cham, Switzerland)</title><addtitle>Phenomics</addtitle><addtitle>Phenomics</addtitle><description>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.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Biomedicine</subject><subject>Genetics and Genomics</subject><subject>Human Genetics</subject><issn>2730-583X</issn><issn>2730-5848</issn><issn>2730-5848</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><recordid>eNp9UcFu1DAQtRCIVqU_wAH5yCXUjp3YOaHVqtBKi6gQlbhZTjLZdXHsxZNA9-9xm7KCC6cZvffm2TOPkNecveOMqQuUoq5UwUpZMMZzd_-MnJZKsKLSUj8_9uLbCTlHvGOMZURqxl-SE9FkQrDmlKQVYuycnVwMSONAb7zF0dKN27s-jq6jNykOzgPSX27a0duUoVXnempDT68Oe0hzhmB0ln5x-J26QD-5vvdQrLawqC59D8kf6HrnAiC8Ii8G6xHOn-oZuf1w-XV9VWw-f7xerzZFJ0o9FbqBRrRDU-t6qBohawm6hFZZoUBwKSHvN6jKdkpaa4H1bd1yVQmmBq6VUuKMvF9893M7Qt9BmJL1Zp_caNPBROvMv0xwO7ONPw3nDycsRXZ4--SQ4o8ZcDKjww68twHijEZwUdZMV4_ScpF2KSImGI7vcGYeAjNLYCYHZh4DM_d56M3fPzyO_IknC8QiwEyFLSRzF-cU8tX-Z_sbi8qimg</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Kang, Wanhui</creator><creator>Xu, Xinming</creator><creator>Yang, Xiaowei</creator><creator>Wu, Qingqing</creator><creator>Li, Shuning</creator><creator>Gao, Keran</creator><creator>Zeng, Rong</creator><creator>Sun, Liang</creator><creator>Lin, Xu</creator><general>Springer Nature Singapore</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0009-0005-3121-8138</orcidid><orcidid>https://orcid.org/0000-0001-6735-5883</orcidid><orcidid>https://orcid.org/0000-0003-2649-2173</orcidid><orcidid>https://orcid.org/0000-0002-5554-4801</orcidid><orcidid>https://orcid.org/0009-0007-1299-1605</orcidid><orcidid>https://orcid.org/0000-0001-8087-2420</orcidid><orcidid>https://orcid.org/0000-0001-8876-9823</orcidid></search><sort><creationdate>20240801</creationdate><title>Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese</title><author>Kang, Wanhui ; Xu, Xinming ; Yang, Xiaowei ; Wu, Qingqing ; Li, Shuning ; Gao, Keran ; Zeng, Rong ; Sun, Liang ; Lin, Xu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-89e93bf9686f593464e82eb7a37e3144e730f75ac74aaae0db6b175307f187773</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering/Biotechnology</topic><topic>Biomedicine</topic><topic>Genetics and Genomics</topic><topic>Human Genetics</topic><toplevel>online_resources</toplevel><creatorcontrib>Kang, Wanhui</creatorcontrib><creatorcontrib>Xu, Xinming</creatorcontrib><creatorcontrib>Yang, Xiaowei</creatorcontrib><creatorcontrib>Wu, Qingqing</creatorcontrib><creatorcontrib>Li, Shuning</creatorcontrib><creatorcontrib>Gao, Keran</creatorcontrib><creatorcontrib>Zeng, Rong</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Lin, Xu</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Phenomics (Cham, Switzerland)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kang, Wanhui</au><au>Xu, Xinming</au><au>Yang, Xiaowei</au><au>Wu, Qingqing</au><au>Li, Shuning</au><au>Gao, Keran</au><au>Zeng, Rong</au><au>Sun, Liang</au><au>Lin, Xu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese</atitle><jtitle>Phenomics (Cham, Switzerland)</jtitle><stitle>Phenomics</stitle><addtitle>Phenomics</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>4</volume><issue>4</issue><spage>352</spage><epage>364</epage><pages>352-364</pages><issn>2730-583X</issn><issn>2730-5848</issn><eissn>2730-5848</eissn><abstract>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.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><pmid>39583309</pmid><doi>10.1007/s43657-024-00157-x</doi><tpages>13</tpages><orcidid>https://orcid.org/0009-0005-3121-8138</orcidid><orcidid>https://orcid.org/0000-0001-6735-5883</orcidid><orcidid>https://orcid.org/0000-0003-2649-2173</orcidid><orcidid>https://orcid.org/0000-0002-5554-4801</orcidid><orcidid>https://orcid.org/0009-0007-1299-1605</orcidid><orcidid>https://orcid.org/0000-0001-8087-2420</orcidid><orcidid>https://orcid.org/0000-0001-8876-9823</orcidid><oa>free_for_read</oa></addata></record> |
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| title | Associations of Plasma Lipidomic Profiles with Uric Acid and Hyperuricemia Risk in Middle-Aged and Elderly Chinese |
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