AIMS/HYPOTHESIS: Human adipose tissue macrophages (ATMs) display an alternatively activated (M2) phenotype, but are still able to produce excessive inflammatory mediators. However, the processes driving this particular ATM phenotype are not understood. Genome-wide association studies associated the CDKN2A locus, encoding the tumour suppressor p16(INK4A), with the development of type 2 diabetes. In the present study, p16(INK4A) levels in human ATMs and the role of p16(INK4A) in acquiring the ATM phenotype were assessed. METHODS: Gene expression of p16 ( INK4A ) in ATMs was analysed and compared with that in monocyte-derived macrophages (MDMs) from obese patients or with macrophages from human atherosclerotic plaques (AMs). Additionally, p16(INK4A) levels were studied during macrophage differentiation and polarisation of monocytes isolated from healthy donors. The role of p16(INK4A) in MDMs from healthy donors was investigated by small interfering (si)RNA-mediated silencing or adenovirus-mediated overproduction of p16(INK4A). RESULTS: Compared with MDMs and AMs, ATMs from obese patients expressed lower levels of p16 ( INK4A ). In vitro, IL-4-induced M2 polarisation resulted in lower p16(INK4A) protein levels after differentiation of monocytes from healthy donors in macrophages. Silencing of p16(INK4A) in MDMs mediated by siRNA increased the expression of M2 marker genes and enhanced the response to lipopolysaccharide (LPS), to give a phenotype resembling that of ATM. By contrast, adenovirus-mediated overproduction of p16(INK4A) in MDMs diminished M2 marker gene expression and the response to LPS. Western blot analysis revealed that p16(INK4A) overproduction inhibits LPS- and palmitate-induced Toll-like receptor 4 (TLR4)-nuclear factor of κ light polypeptide gene enhancer in B cells (NF-κB) signalling. CONCLUSIONS/ INTERPRETATION: These results show that p16(INK4A) inhibits the acquisition of the ATM phenotype. The age-related increase in p16(INK4A) level may thus influence normal ATM function and contribute to type 2 diabetes risk.
AIMS/HYPOTHESIS: Human adipose tissue macrophages (ATMs) display an alternatively activated (M2) phenotype, but are still able to produce excessive inflammatory mediators. However, the processes driving this particular ATM phenotype are not understood. Genome-wide association studies associated the CDKN2A locus, encoding the tumour suppressor p16(INK4A), with the development of type 2 diabetes. In the present study, p16(INK4A) levels in human ATMs and the role of p16(INK4A) in acquiring the ATM phenotype were assessed. METHODS: Gene expression of p16 ( INK4A ) in ATMs was analysed and compared with that in monocyte-derived macrophages (MDMs) from obesepatients or with macrophages from humanatherosclerotic plaques (AMs). Additionally, p16(INK4A) levels were studied during macrophage differentiation and polarisation of monocytes isolated from healthy donors. The role of p16(INK4A) in MDMs from healthy donors was investigated by small interfering (si)RNA-mediated silencing or adenovirus-mediated overproduction of p16(INK4A). RESULTS: Compared with MDMs and AMs, ATMs from obesepatients expressed lower levels of p16 ( INK4A ). In vitro, IL-4-induced M2 polarisation resulted in lower p16(INK4A) protein levels after differentiation of monocytes from healthy donors in macrophages. Silencing of p16(INK4A) in MDMs mediated by siRNA increased the expression of M2 marker genes and enhanced the response to lipopolysaccharide (LPS), to give a phenotype resembling that of ATM. By contrast, adenovirus-mediated overproduction of p16(INK4A) in MDMs diminished M2 marker gene expression and the response to LPS. Western blot analysis revealed that p16(INK4A) overproduction inhibits LPS- and palmitate-induced Toll-like receptor 4 (TLR4)-nuclear factor of κ light polypeptide gene enhancer in B cells (NF-κB) signalling. CONCLUSIONS/ INTERPRETATION: These results show that p16(INK4A) inhibits the acquisition of the ATM phenotype. The age-related increase in p16(INK4A) level may thus influence normal ATM function and contribute to type 2 diabetes risk.
Authors: Melek C Arkan; Andrea L Hevener; Florian R Greten; Shin Maeda; Zhi-Wei Li; Jeffrey M Long; Anthony Wynshaw-Boris; Giuseppe Poli; Jerrold Olefsky; Michael Karin Journal: Nat Med Date: 2005-01-30 Impact factor: 53.440
Authors: Brandon M Hall; Vitaly Balan; Anatoli S Gleiberman; Evguenia Strom; Peter Krasnov; Lauren P Virtuoso; Elena Rydkina; Slavoljub Vujcic; Karina Balan; Ilya Gitlin; Katerina Leonova; Alexander Polinsky; Olga B Chernova; Andrei V Gudkov Journal: Aging (Albany NY) Date: 2016-07 Impact factor: 5.682
Authors: Kristiaan Wouters; Yann Deleye; Sarah A Hannou; Jonathan Vanhoutte; Xavier Maréchal; Augustin Coisne; Madjid Tagzirt; Bruno Derudas; Emmanuel Bouchaert; Christian Duhem; Emmanuelle Vallez; Casper G Schalkwijk; François Pattou; David Montaigne; Bart Staels; Réjane Paumelle Journal: Diab Vasc Dis Res Date: 2017-09-02 Impact factor: 3.291