Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients (2023)
- Authors:
- Autor USP: RONSEIN, GRAZIELLA ELIZA - IQ
- Unidade: IQ
- DOI: 10.1016/j.jlr.2023.100381
- Subjects: NEFROPATIAS; DOENÇAS CARDIOVASCULARES; ESTUDO DE CASO; LIPOPROTEÍNAS HDL
- Agências de fomento:
- Financiamento NIH
- Financiamento NIDDK/NIH
- Financiamento Perelman School of Medicine at the University of Pennsylvania Clinical and Translational Science
- Financiamento NIH/NCATS
- Financiamento Johns Hopkins University
- Financiamento University of Maryland
- Financiamento Clinical and Translational Science Collaborative of Cleveland
- Financiamento Medical Research, Michigan Institute for Clinical and Health Research/MICHR
- University of Illinois at Chicago/CTSA
- Financiamento Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases
- Financiamento NIH/NCRR UCSF-CTSI
- Financiamento Department of Internal Medicine, University of New Mexico School of Medicine Albuquerque
- R01DK119199
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Lipid Research
- ISSN: 0022-2275
- Volume/Número/Paginação/Ano: v. 64, n. 6, p. 1-11 art. 100381, 2023
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
SHAO, Baohai et al. Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients. Journal of Lipid Research, v. 64, n. 6, p. 1-11 art. 100381, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jlr.2023.100381. Acesso em: 23 maio 2024. -
APA
Shao, B., Afshinnia, F., Mathew, A. V., Ronsein, G. E., Thornock, C., Irwin, A. D., et al. (2023). Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients. Journal of Lipid Research, 64( 6), 1-11 art. 100381. doi:10.1016/j.jlr.2023.100381 -
NLM
Shao B, Afshinnia F, Mathew AV, Ronsein GE, Thornock C, Irwin AD, Kansal M, Rao PS, Dobre M, Al-Kindi S, Weir MR, Go A, He J, Chen J, Feldman H, Bornfeldt KE, Pennathur S. Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients [Internet]. Journal of Lipid Research. 2023 ; 64( 6): 1-11 art. 100381.[citado 2024 maio 23 ] Available from: https://doi.org/10.1016/j.jlr.2023.100381 -
Vancouver
Shao B, Afshinnia F, Mathew AV, Ronsein GE, Thornock C, Irwin AD, Kansal M, Rao PS, Dobre M, Al-Kindi S, Weir MR, Go A, He J, Chen J, Feldman H, Bornfeldt KE, Pennathur S. Low concentrations of medium-sized HDL particles predict incident CVD in chronic kidney disease patients [Internet]. Journal of Lipid Research. 2023 ; 64( 6): 1-11 art. 100381.[citado 2024 maio 23 ] Available from: https://doi.org/10.1016/j.jlr.2023.100381 - Niacin therapy increases high-density lipoprotein particles and total cholesterol efflux capacity but not ABCA1-specific cholesterol efflux in statin-treated subjects
- Diabetes impairs cellular cholesterol efflux from ABCA1 to small HDL particles
- Proteomic analysis of HDL from inbred mouse strains implicates APOE associated with HDL in reduced cholesterol efflux capacity via the ABCA1 pathway
- Niacin increases atherogenic proteins in high-density lipoprotein of statin-treated subjects
- Time to ditch HOL-C as a measure of PINION HOL function?
- Inflammation, remodeling, and other factors affecting HDL cholesterol efflux
- Omics profile of iPSC-derived astrocytes from Progressive Supranuclear Palsy (PSP) patients
- Patients with coronary endothelial dysfunction have impaired cholesterol efflux capacity and reduced HDL particle concentration
- Targeted proteomics identifies Paraoxonase/Arylesterase 1 (PON1) and apolipoprotein Cs as potential risk factors for hypoalphalipoproteinemia in diabetic subjects treated with fenofibrate and rosiglitazone
- Oxidação do triptofano pelo oxigenio molecular no estado singlete [´OIND.2´(´ANTPOT.1´DELTA IND.g´)]: estudos mecanisticos envolvendo marcação isotopica, espectrometria de massa e quimiluminescencia
Informações sobre o DOI: 10.1016/j.jlr.2023.100381 (Fonte: oaDOI API)
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
