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1.
Bone Res ; 11(1): 52, 2023 10 20.
Article in English | MEDLINE | ID: mdl-37857629

ABSTRACT

Mineral and bone disorder (MBD) in chronic kidney disease (CKD) is tightly linked to cardiovascular disease (CVD). In this study, we aimed to compare the prognostic value of nine MBD biomarkers to determine those associated best with adverse cardiovascular (CV) outcomes and mortality. In 5 217 participants of the German CKD (GCKD) study enrolled with an estimated glomerular filtration rate (eGFR) between 30-60 mL·min-1 per 1.73 m2 or overt proteinuria, serum osteoprotegerin (OPG), C-terminal fibroblast growth factor-23 (FGF23), intact parathyroid hormone (iPTH), bone alkaline phosphatase (BAP), cross-linked C-telopeptide of type 1 collagen (CTX1), procollagen 1 intact N-terminal propeptide (P1NP), phosphate, calcium, and 25-OH vitamin D were measured at baseline. Participants with missing values among these parameters (n = 971) were excluded, leaving a total of 4 246 participants for analysis. During a median follow-up of 6.5 years, 387 non-CV deaths, 173 CV deaths, 645 nonfatal major adverse CV events (MACEs) and 368 hospitalizations for congestive heart failure (CHF) were observed. OPG and FGF23 were associated with all outcomes, with the highest hazard ratios (HRs) for OPG. In the final Cox regression model, adjusted for CV risk factors, including kidney function and all other investigated biomarkers, each standard deviation increase in OPG was associated with non-CV death (HR 1.76, 95% CI: 1.35-2.30), CV death (HR 2.18, 95% CI: 1.50-3.16), MACE (HR 1.38, 95% CI: 1.12-1.71) and hospitalization for CHF (HR 2.05, 95% CI: 1.56-2.69). Out of the nine biomarkers examined, stratification based on serum OPG best identified the CKD patients who were at the highest risk for any adverse CV outcome and mortality.


Subject(s)
Renal Insufficiency, Chronic , Humans , Minerals , Parathyroid Hormone , Vitamin D , Biomarkers
2.
STAR Protoc ; 4(1): 101999, 2023 03 17.
Article in English | MEDLINE | ID: mdl-36607813

ABSTRACT

Metabolic derangement is a key culprit in kidney pathophysiology. Organoids have emerged as a promising in vitro tool for kidney research. Here, we present a fine-tuned protocol to analyze bioenergetics in single human induced-pluripotent-stem-cell (iPSC)-derived kidney organoids using Seahorse XF96. We describe the generation of self-organized three-dimensional kidney organoids, followed by preparation of organoids for Seahorse XF96 analysis. We then detail how to carry out stress tests to determine mitochondrial and glycolytic rates in single kidney organoids.


Subject(s)
Induced Pluripotent Stem Cells , Solitary Kidney , Humans , Solitary Kidney/metabolism , Cell Differentiation , Kidney , Organoids , Energy Metabolism
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