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Metabolic Changes in Androgen-Deprived Nondiabetic Men With Prostate Cancer Are Not Mediated by Cytokines or aP2.
Gagliano-Jucá, T, Burak, MF, Pencina, KM, Li, Z, Edwards, RR, Travison, TG, Basaria, S
The Journal of clinical endocrinology and metabolism. 2018;(10):3900-3908
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Abstract
CONTEXT Androgen deprivation therapy (ADT) remains the cornerstone of management of prostate cancer (PCa). Previous studies have shown that men undergoing ADT develop insulin resistance and diabetes, but the mechanisms behind ADT-induced metabolic abnormalities remain unclear. OBJECTIVE To evaluate the role of inflammatory cytokines and adipocyte protein-2 (aP2) in ADT-induced metabolic dysfunction. PARTICIPANTS AND INTERVENTIONS This 6-month prospective cohort study enrolled nondiabetic men with PCa about to undergo ADT (ADT group) and a control group of nondiabetic men who had previously undergone prostatectomy for localized PCa and were in remission (non-ADT group); all participants had normal testosterone at study entry. Fasting blood samples were collected at baseline and at 6, 12, and 24 weeks after initiation of ADT and at the same intervals in the non-ADT group. Glucose, insulin, lipids, inflammatory cytokines, and C-reactive protein were measured. We also measured serum aP2, an adipocyte-secreted protein that promotes hepatic glucose production. Homeostatic model assessment of insulin resistance (HOMA-IR) was calculated. RESULTS Seventy-three participants formed the analytical sample (33 ADT, 40 non-ADT). HOMA-IR increased in the ADT group (estimated change = 0.25; P = 0.05), but was unchanged in the non-ADT group (0.11; P = 0.342). Serum concentrations of inflammatory cytokines or aP2 did not change significantly. There was a treatment-associated increase in total (16 mg/dL; P < 0.001), high-density lipoprotein (8 mg/dL; P < 0.001), and low-density lipoprotein (7 mg/dL; P = 0.02) cholesterol. CONCLUSION ADT-induced metabolic abnormalities were not associated with changes in circulating inflammatory cytokines or aP2 levels.
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Correlation of protein and gene expression profiles of inflammatory proteins after endotoxin challenge in human subjects.
Prabhakar, U, Conway, TM, Murdock, P, Mooney, JL, Clark, S, Hedge, P, Bond, BC, Jazwinska, EC, Barnes, MR, Tobin, F, et al
DNA and cell biology. 2005;(7):410-31
Abstract
Administration of endotoxin (LPS) in humans results in profound physiological responses, including activation of peripheral blood mononuclear cells and the release of inflammatory factors. The time course of the response of selected inflammatory proteins was examined in healthy subjects (n = 6) administered a single intravenous dose of the purified derivative of endotoxin (3.0 ng/kg). Microarray analysis demonstrated changes in the expression of a number of genes, which were confirmed in separate in vitro endotoxin stimulation experiments. Subsequent TaqMan analysis of genes of interest indicated time-dependent changes in the expression of many of these genes. This included pre-B cell enhancing factor, which was identified on microarray analysis as being markedly upregulated following endotoxin stimulation. Protein expression of the genes examined by TaqMan analysis was measured and demonstrated the appearance of tumor necrosis factor (TNF)-alpha and sTNF-R proteins in the plasma beginning within 1 h after dosing, followed by other cytokines/ inflammatory markers (e.g., IL-1ra, G-CSF, IL-6, IL-8, and IL-10) and suppressors of cytokine signaling (SOCS-1 and SOCS-3). In general, cytokine protein expression correlated well with gene expression; however, the temporal profile of expression of some genes did not correlate well with the protein data. For many of these proteins, the lack of correlation was attributable to alternate tissue sources, which were demonstrated on TaqMan analysis. Principal component analysis indicated that cytokines could be grouped according to their temporal pattern of response, with most transcript levels returning to baseline 24 h following endotoxin administration. The combination of cDNA microarray and TaqMan analysis to identify and quantify changes in gene expression, along with the analysis of protein expression, can be useful in investigating inflammatory and other diseases.