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Multiomics Analyses Identify AKR1A1 as a Biomarker for Diabetic Kidney Disease.

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Title: Multiomics Analyses Identify AKR1A1 as a Biomarker for Diabetic Kidney Disease.
Authors: Li D; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC., Hsu FC; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC., Palmer ND; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC., Liu L; Bioinformatics Shared Resource, Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC., Choi YA; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC., Murea M; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC., Parks JS; Department of Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC., Bowden DW; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC., Freedman BI; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC., Ma L; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Source: Diabetes [Diabetes] 2024 Jul 01; Vol. 73 (7), pp. 1188-1195.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: American Diabetes Association Country of Publication: United States NLM ID: 0372763 Publication Model: Print Cited Medium: Internet ISSN: 1939-327X (Electronic) Linking ISSN: 00121797 NLM ISO Abbreviation: Diabetes Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Li+D%22">Li D</searchLink>; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Hsu+FC%22">Hsu FC</searchLink>; Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Palmer+ND%22">Palmer ND</searchLink>; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Liu+L%22">Liu L</searchLink>; Bioinformatics Shared Resource, Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Choi+YA%22">Choi YA</searchLink>; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Murea+M%22">Murea M</searchLink>; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Parks+JS%22">Parks JS</searchLink>; Department of Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Bowden+DW%22">Bowden DW</searchLink>; Department of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Freedman+BI%22">Freedman BI</searchLink>; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.<br /><searchLink fieldCode="AU" term="%22Ma+L%22">Ma L</searchLink>; Section of Nephrology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Diabetes+Association%22">American Diabetes Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0372763 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1939-327X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200121797%22">00121797 </searchLink><i>NLM ISO Abbreviation: </i>Diabetes <i>Subsets: </i>MEDLINE
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        Value: 10.2337/db23-0540
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        Text: English
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      – TitleFull: Multiomics Analyses Identify AKR1A1 as a Biomarker for Diabetic Kidney Disease.
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            – D: 01
              M: 07
              Text: 2024 Jul 01
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