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Sphingolipid metabolism-related genes for the diagnosis of metabolic syndrome by integrated bioinformatics analysis and Mendelian randomization identification.

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Title: Sphingolipid metabolism-related genes for the diagnosis of metabolic syndrome by integrated bioinformatics analysis and Mendelian randomization identification.
Authors: Li, Weidong1,2 (AUTHOR) leeweitung@163.com, Zhong, Qixing1,2 (AUTHOR) ZhongQixing@gdmu.edu.cn, Deng, Naisheng1,2 (AUTHOR) Deng@gdmu.edu.cn, Zhou, Xinhao1 (AUTHOR) im_gorilla@163.com, Wang, Haitao1 (AUTHOR) cqykdwang@163.com, Ouyang, Jun1 (AUTHOR) ouyj36@mail2.sysu.edu.cn, Guan, Zhifen1 (AUTHOR) 970564397@qq.com, Cheng, Bohao1 (AUTHOR) 516150417@qq.com, Xiang, Lijun1 (AUTHOR) 614703909@qq.com, Huang, Yueming1 (AUTHOR) hyueming1989@163.com, Wang, Yao1,2 (AUTHOR) tongjimc@126.com
Source: Diabetology & Metabolic Syndrome. 6/19/2025, Vol. 17 Issue 1, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Sphingolipid metabolism-related genes for the diagnosis of metabolic syndrome by integrated bioinformatics analysis and Mendelian randomization identification.
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  Data: <searchLink fieldCode="JN" term="%22Diabetology+%26+Metabolic+Syndrome%22">Diabetology & Metabolic Syndrome</searchLink>. 6/19/2025, Vol. 17 Issue 1, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186046012
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        Value: 10.1186/s13098-025-01803-8
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              Text: 6/19/2025
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              Y: 2025
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