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1.
Cell Metab ; 30(3): 447-461.e5, 2019 09 03.
Article in English | MEDLINE | ID: mdl-31378464

ABSTRACT

Mechanisms that regulate metabolites and downstream energy generation are key determinants of T cell cytokine production, but the processes underlying the Th17 profile that predicts the metabolic status of people with obesity are untested. Th17 function requires fatty acid uptake, and our new data show that blockade of CPT1A inhibits Th17-associated cytokine production by cells from people with type 2 diabetes (T2D). A low CACT:CPT1A ratio in immune cells from T2D subjects indicates altered mitochondrial function and coincides with the preference of these cells to generate ATP through glycolysis rather than fatty acid oxidation. However, glycolysis was not critical for Th17 cytokines. Instead, ß oxidation blockade or CACT knockdown in T cells from lean subjects to mimic characteristics of T2D causes cells to utilize 16C-fatty acylcarnitine to support Th17 cytokines. These data show long-chain acylcarnitine combines with compromised ß oxidation to promote disease-predictive inflammation in human T2D.


Subject(s)
Diabetes Mellitus, Type 2/metabolism , Fatty Acids/metabolism , Lymphocyte Activation/immunology , Th17 Cells/immunology , Adult , Aged , Carnitine/analogs & derivatives , Carnitine/metabolism , Carnitine O-Palmitoyltransferase/genetics , Cells, Cultured , Cross-Sectional Studies , Cytokines/metabolism , Female , Gene Knockdown Techniques , Glycolysis/genetics , Humans , Inflammation/metabolism , Male , Membrane Transport Proteins/genetics , Middle Aged , Obesity/metabolism , Oxidation-Reduction , Transfection , Young Adult
2.
PLoS One ; 12(7): e0180387, 2017.
Article in English | MEDLINE | ID: mdl-28719612

ABSTRACT

BACKGROUND: Observational studies have shown a beneficial effect of obesity on bone health; however, most of those studies were not based on bone biopsies. Metabolic syndrome (MetS) could have an effect on bone remodeling. However, there are no data on the effects of MetS in the presence of renal osteodystrophy. OBJECTIVE: The aim of this study was to investigate associations between MetS and renal osteodystrophy using the bone histomorphometric turnover-mineralization-volume (TMV) classification. DESIGN, SETTING, PARTICIPANTS & MEASUREMENTS: This observational cross-sectional study included 55 hemodialysis patients (28 women/27 men) who were evaluated for MetS and bone histomorphometry. Biochemical parameters included calcium, phosphorus, alkaline phosphatase, intact parathyroid hormone (iPTH), 25-hydroxyvitamin D, free serum leptin, fibroblast growth factor 23 (FGF23), intact osteocalcin, sclerostin (Scl), glucose, insulin, and thyroid hormones. Robust models of multivariate linear regressions were used for the statistical analyses. RESULTS: Females had higher iPTH levels (1,143 vs. 358, p = 0.02). Patients with normal bone volume (BV/TV) had a higher prevalence of MetS (73.6% vs. 41.7%, p = 0.02) and higher serum phosphorus, C-terminal FGF23 and insulin levels. The multivariate regression analysis showed that low-density lipoprotein cholesterol (LDL) was positively correlated with bone formation rate (BFR/BS) and negatively associated with mineralization lag time. Bone volume was negatively associated with age but positively associated with MetS. Body mass index (BMI) was not correlated with any of the bone histomorphometric parameters. CONCLUSION: Our results suggest that MetS is not a risk factor for low bone volume in hemodialysis patients. Furthermore, BMI alone was not related to bone volume in this population.


Subject(s)
Chronic Kidney Disease-Mineral and Bone Disorder/complications , Metabolic Syndrome/complications , Obesity/complications , Adaptor Proteins, Signal Transducing , Adult , Aged , Bone Density , Bone Morphogenetic Proteins/blood , Chronic Kidney Disease-Mineral and Bone Disorder/blood , Chronic Kidney Disease-Mineral and Bone Disorder/pathology , Chronic Kidney Disease-Mineral and Bone Disorder/physiopathology , Cross-Sectional Studies , Female , Fibroblast Growth Factor-23 , Fibroblast Growth Factors/blood , Genetic Markers , Humans , Insulin Resistance , Leptin/blood , Male , Middle Aged , Osteocalcin/blood
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