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Proteomic Characterization of High-Density Lipoprotein Particles from Non-Diabetic Hemodialysis Patients.
Florens, Nans; Calzada, Catherine; Delolme, Frédéric; Page, Adeline; Guebre Egziabher, Fitsum; Juillard, Laurent; Soulage, And Christophe O.
Afiliación
  • Florens N; Univ. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
  • Calzada C; Hospices Civils de Lyon, Service de Néphrologie-Hypertension-Hémodialyse, Hôpital E. Herriot, F-69003 Lyon, France.
  • Delolme F; Univ. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
  • Page A; Protein Science Facility, SFR BioSciences CNRS UMS3444, Inserm US8, Université Claude Bernard Lyon 1, ENS de Lyon, F-69007 Lyon, France.
  • Guebre Egziabher F; Protein Science Facility, SFR BioSciences CNRS UMS3444, Inserm US8, Université Claude Bernard Lyon 1, ENS de Lyon, F-69007 Lyon, France.
  • Juillard L; Univ. Lyon, CarMeN, INSERM U1060, INSA de Lyon, Université Claude Bernard Lyon 1, INRA U1397, F-69621 Villeurbanne, France.
  • Soulage ACO; Hospices Civils de Lyon, Service de Néphrologie-Hypertension-Hémodialyse, Hôpital E. Herriot, F-69003 Lyon, France.
Toxins (Basel) ; 11(11)2019 11 15.
Article en En | MEDLINE | ID: mdl-31731787
Chronic kidney disease is associated with an increased cardiovascular risk, and altered biological properties of high-density lipoproteins (HDL) may play a role in these events. This study aimed to describe the HDL proteome from non-diabetic hemodialysis patients and identify potential pathways affected by the dysregulated expression of HDL proteins. HDL were sampled from nine non-diabetic hemodialysis (HD) and eight control patients. Samples were analyzed using a nano-RSLC coupled with a Q-Orbitrap. Data were processed by database searching using SequestHT against a human Swissprot database and quantified with a label-free quantification approach. Proteins that were in at least five of the eight control and six of the nine HD patients were analyzed. Analysis was based on pairwise ratios and the ANOVA hypothesis test. Among 522 potential proteins, 326 proteins were identified to be in the HDL proteome from HD and control patients, among which 10 were significantly upregulated and nine downregulated in HD patients compared to the control patients (p < 0.05). Up and downregulated proteins were involved in lipid metabolism, hemostasis, wound healing, oxidative stress, and apoptosis pathways. This difference in composition could partly explain HDL dysfunction in the chronic kidney disease (CKD) population and participate in the higher cardiovascular risk observed in this population.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diálisis Renal / Proteómica / Lipoproteínas HDL Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Toxins (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Diálisis Renal / Proteómica / Lipoproteínas HDL Tipo de estudio: Observational_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Toxins (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Francia