Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients.
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| Title: | Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients. |
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| Authors: | Daniels JR; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Ma JZ; Division of Biostatistics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia., Cao Z; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Beger RD; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Sun J; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Schnackenberg L; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Pence L; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas., Choudhury D; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia.; Salem Veterans Affairs Medical Center, Salem, Virginia., Palevsky PM; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.; Renal-Electrolye Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania., Portilla D; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia., Yu LR; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas. |
| Source: | Kidney360 [Kidney360] 2021 Nov 25; Vol. 2 (11), pp. 1716-1727. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. |
| Journal Info: | Publisher: Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 101766381 Publication Model: Print Cited Medium: Internet ISSN: 2641-7650 (Electronic) Linking ISSN: 26417650 NLM ISO Abbreviation: Kidney360 |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34913041 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Daniels+JR%22">Daniels JR</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Ma+JZ%22">Ma JZ</searchLink>; Division of Biostatistics, Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia.; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia.<br /><searchLink fieldCode="AU" term="%22Cao+Z%22">Cao Z</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Beger+RD%22">Beger RD</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Sun+J%22">Sun J</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Schnackenberg+L%22">Schnackenberg L</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Pence+L%22">Pence L</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas.<br /><searchLink fieldCode="AU" term="%22Choudhury+D%22">Choudhury D</searchLink>; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia.; Salem Veterans Affairs Medical Center, Salem, Virginia.<br /><searchLink fieldCode="AU" term="%22Palevsky+PM%22">Palevsky PM</searchLink>; Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania.; Renal-Electrolye Division, Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Portilla+D%22">Portilla D</searchLink>; Division of Nephrology, Center for Immunity, Inflammation and Regenerative Medicine, University of Virginia, Charlottesville, Virginia.<br /><searchLink fieldCode="AU" term="%22Yu+LR%22">Yu LR</searchLink>; Division of Systems Biology, National Center for Toxicological Research, US Food and Drug Administration, Jefferson, Arkansas. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101766381%22">Kidney360</searchLink> [Kidney360] 2021 Nov 25; Vol. 2 (11), pp. 1716-1727. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S. – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wolters+Kluwer+Health%2C+Inc%2E+on+behalf+of+the+American+Society+of+Nephrology%22">Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101766381 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2641-7650 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2226417650%22">26417650 </searchLink><i>NLM ISO Abbreviation: </i>Kidney360 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34913041 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.34067/KID.0002642021 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1716 Titles: – TitleFull: Discovery of Novel Proteomic Biomarkers for the Prediction of Kidney Recovery from Dialysis-Dependent AKI Patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Daniels JR – PersonEntity: Name: NameFull: Ma JZ – PersonEntity: Name: NameFull: Cao Z – PersonEntity: Name: NameFull: Beger RD – PersonEntity: Name: NameFull: Sun J – PersonEntity: Name: NameFull: Schnackenberg L – PersonEntity: Name: NameFull: Pence L – PersonEntity: Name: NameFull: Choudhury D – PersonEntity: Name: NameFull: Palevsky PM – PersonEntity: Name: NameFull: Portilla D – PersonEntity: Name: NameFull: Yu LR IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 11 Text: 2021 Nov 25 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2641-7650 Numbering: – Type: volume Value: 2 – Type: issue Value: 11 Titles: – TitleFull: Kidney360 Type: main |
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