Your browser doesn't support javascript.
loading
Plasma Metabolomics of Intermediate and Neovascular Age-Related Macular Degeneration Patients.
Mitchell, Sabrina L; Ma, Chunyu; Scott, William K; Agarwal, Anita; Pericak-Vance, Margaret A; Haines, Jonathan L; Jones, Dean P; Uppal, Karan; Brantley, Milam A.
Affiliation
  • Mitchell SL; Medical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.
  • Ma C; Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
  • Scott WK; John P. Hussman Institute for Human Genomics, School of Medicine, University of Miami Miller, Miami, FL 33136, USA.
  • Agarwal A; Medical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.
  • Pericak-Vance MA; John P. Hussman Institute for Human Genomics, School of Medicine, University of Miami Miller, Miami, FL 33136, USA.
  • Haines JL; Department of Population and Quantitative Health Sciences, Institute for Computational Biology, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Jones DP; Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
  • Uppal K; Department of Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA.
  • Brantley MA; Medical Center, Vanderbilt Eye Institute, Vanderbilt University, Nashville, TN 37232, USA.
Cells ; 10(11)2021 11 12.
Article de En | MEDLINE | ID: mdl-34831363
ABSTRACT
To characterize metabolites and metabolic pathways altered in intermediate and neovascular age-related macular degeneration (IAMD and NVAMD), high resolution untargeted metabolomics was performed via liquid chromatography-mass spectrometry on plasma samples obtained from 91 IAMD patients, 100 NVAMD patients, and 195 controls. Plasma metabolite levels were compared between AMD patients and controls, IAMD patients and controls, and NVAMD and IAMD patients. Partial least-squares discriminant analysis and linear regression were used to identify discriminatory metabolites. Pathway analysis was performed to determine metabolic pathways altered in AMD. Among the comparisons, we identified 435 unique discriminatory metabolic features. Using computational methods and tandem mass spectrometry, we identified 11 metabolic features whose molecular identities had been previously verified and confirmed the molecular identities of three additional discriminatory features. Included among the discriminatory metabolites were acylcarnitines, phospholipids, amino acids, and steroid metabolites. Pathway analysis revealed that lipid, amino acid, and vitamin metabolism pathways were altered in NVAMD, IAMD, or AMD in general, including the carnitine shuttle pathway which was significantly altered in all comparisons. Finally, few discriminatory features were identified between IAMD patients and controls, suggesting that plasma metabolic profiles of IAMD patients are more similar to controls than to NVAMD patients.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Métabolomique / Dégénérescence maculaire / Néovascularisation pathologique Type d'étude: Observational_studies Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: Cells Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Métabolomique / Dégénérescence maculaire / Néovascularisation pathologique Type d'étude: Observational_studies Limites: Aged / Female / Humans / Male / Middle aged Langue: En Journal: Cells Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique