Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients.
Saved in:
| Title: | Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. |
|---|---|
| Authors: | Soares NC; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates., Hussein A; Department of Family and Community Medicine & Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates., Muhammad JS; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates., Semreen MH; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates., ElGhazali G; Department of Immunology, Sheikh Khalifa Medical City- Union71- Purelab, Abu Dhabi and College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates., Hamad M; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. |
| Source: | PloS one [PLoS One] 2023 Aug 10; Vol. 18 (8), pp. e0289738. Date of Electronic Publication: 2023 Aug 10 (Print Publication: 2023). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37561777 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Soares+NC%22">Soares NC</searchLink>; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Hussein+A%22">Hussein A</searchLink>; Department of Family and Community Medicine & Behavioral Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Muhammad+JS%22">Muhammad JS</searchLink>; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Semreen+MH%22">Semreen MH</searchLink>; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medicinal Chemistry University of Sharjah, Department of Medicinal Chemistry, College of Pharmacy, Sharjah, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22ElGhazali+G%22">ElGhazali G</searchLink>; Department of Immunology, Sheikh Khalifa Medical City- Union71- Purelab, Abu Dhabi and College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.<br /><searchLink fieldCode="AU" term="%22Hamad+M%22">Hamad M</searchLink>; University of Sharjah, Research Institute of Medical and Health Sciences, Sharjah, United Arab Emirates.; Department of Medical Laboratory Sciences, College of Health Sciences, University of Sharjah, Sharjah, United Arab Emirates. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2023 Aug 10; Vol. 18 (8), pp. e0289738. <i>Date of Electronic Publication: </i>2023 Aug 10 (<i>Print Publication: </i>2023). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37561777 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0289738 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0289738 Titles: – TitleFull: Plasma metabolomics profiling identifies new predictive biomarkers for disease severity in COVID-19 patients. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Soares NC – PersonEntity: Name: NameFull: Hussein A – PersonEntity: Name: NameFull: Muhammad JS – PersonEntity: Name: NameFull: Semreen MH – PersonEntity: Name: NameFull: ElGhazali G – PersonEntity: Name: NameFull: Hamad M IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 08 Text: 2023 Aug 10 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 18 – Type: issue Value: 8 Titles: – TitleFull: PloS one Type: main |
| ResultId | 1 |