TY - JOUR
T1 - Nuclear receptors expression chart in peripheral blood mononuclear cells identifies patients with Metabolic Syndrome
AU - D'Amore, Simona
AU - Vacca, Michele
AU - Graziano, Giusi
AU - D'Orazio, Andria
AU - Cariello, Marica
AU - Martelli, Nicola
AU - Di Tullio, Giuseppe
AU - Salvia, Roberto
AU - Grandaliano, Giuseppe
AU - Belfiore, Anna
AU - Pellegrini, Fabio
AU - Palasciano, Giuseppe
AU - Moschetta, Antonio
N1 - Funding Information:
The work was funded by the Italian Association for Cancer Research (AIRC, Milan, Italy , IG 10410 to A.M.); Italian Ministry of University and Education (Finanziamenti per la Ricerca di Base IDEAS RBID08C9N7 to A.M.; Programma Operativo Nazionale PON01_01958 to A.M.; PRIN 20085Y7XT5_004 to G.P.); Italian Ministry of Health (Young Researchers Grant 2008, GR-2008-1143546 ; 2010, GR-2010-2314703 ); Apulian Region — Italy (POR Strategic Projects, CIP PS_101 to G.P.); University of Bari, Italy ( ORBA 08WEZJ , 07X7Q1 , 06BXVC , IDEA GRBA0802SJ ), CariSPAQ (L'Aquila, Italy).
PY - 2013/12
Y1 - 2013/12
N2 - Background: Nuclear receptors are a class of 48 ligand-activated transcription factors identified as key players of metabolic and developmental processes. Most of these receptors are potential targets for pharmacological strategies in the Metabolic Syndrome. In the present study, we analyzed changes in the mRNA expression of nuclear receptors in the peripheral blood mononuclear cells of patients with Metabolic Syndrome, in order to identify novel biomarkers of disease and candidate targets for putative therapeutical approaches. Methods and results: We enrolled thirty healthy controls (14 M:16 F) and thirty naïve patients (16 M: 14 F; >3 criteria for Metabolic Syndrome upon Adult Treatment Panel III) without organ damage. Using quantitative real-time PCR, we assessed the expression patterns of nuclear receptors in peripheral blood mononuclear cells. 33/48 nuclear receptors were expressed in peripheral blood mononuclear cells. In patients with Metabolic Syndrome, we found a significant down-regulation of the entire PPAR, NR4A and RAR families, together with a repression of RXRα, VDR, and Rev-Erbα. Furthermore, we performed a novel statistical analysis with classification trees, which allowed us to depict a predictive core of nuclear receptor expression patterns characterizing subjects with Metabolic Syndrome. Random Forest Analysis identified NOR1 and PPARδ, which were both reduced in peripheral blood mononuclear cells and specifically in CD14+ cells (mostly monocytes), as classifiers of Metabolic Syndrome, with high specificity and sensitivity. Conclusions: Our results point to the use of PPAR and NR4A mRNA levels in the overall peripheral blood mononuclear cells as biomarkers of Metabolic Syndrome and bona fide putative targets of pharmacological therapy.
AB - Background: Nuclear receptors are a class of 48 ligand-activated transcription factors identified as key players of metabolic and developmental processes. Most of these receptors are potential targets for pharmacological strategies in the Metabolic Syndrome. In the present study, we analyzed changes in the mRNA expression of nuclear receptors in the peripheral blood mononuclear cells of patients with Metabolic Syndrome, in order to identify novel biomarkers of disease and candidate targets for putative therapeutical approaches. Methods and results: We enrolled thirty healthy controls (14 M:16 F) and thirty naïve patients (16 M: 14 F; >3 criteria for Metabolic Syndrome upon Adult Treatment Panel III) without organ damage. Using quantitative real-time PCR, we assessed the expression patterns of nuclear receptors in peripheral blood mononuclear cells. 33/48 nuclear receptors were expressed in peripheral blood mononuclear cells. In patients with Metabolic Syndrome, we found a significant down-regulation of the entire PPAR, NR4A and RAR families, together with a repression of RXRα, VDR, and Rev-Erbα. Furthermore, we performed a novel statistical analysis with classification trees, which allowed us to depict a predictive core of nuclear receptor expression patterns characterizing subjects with Metabolic Syndrome. Random Forest Analysis identified NOR1 and PPARδ, which were both reduced in peripheral blood mononuclear cells and specifically in CD14+ cells (mostly monocytes), as classifiers of Metabolic Syndrome, with high specificity and sensitivity. Conclusions: Our results point to the use of PPAR and NR4A mRNA levels in the overall peripheral blood mononuclear cells as biomarkers of Metabolic Syndrome and bona fide putative targets of pharmacological therapy.
KW - Epidemiology
KW - Gene expression
KW - Inflammation
KW - Metabolic Syndrome
KW - Nuclear receptors
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U2 - 10.1016/j.bbadis.2013.09.006
DO - 10.1016/j.bbadis.2013.09.006
M3 - Article
C2 - 24060638
AN - SCOPUS:84884967715
SN - 0925-4439
VL - 1832
SP - 2289
EP - 2301
JO - Biochimica et Biophysica Acta - Molecular Basis of Disease
JF - Biochimica et Biophysica Acta - Molecular Basis of Disease
IS - 12
ER -