In this task, you are given an abstract of article. Your task is to generate title for this article. Preferred titles are under thirty words.

Example Input: Histone/protein deacetylases (HDACs) decrease histone and protein acetylation, typically leading to suppression of gene transcription and modulation of various protein functions. We found significant differences in expression of HDAC before and after stimulation of human T regulatory (Treg) and T effector cells, suggesting the potential for future selective targeting of Tregs with HDAC inhibitors (HDACi). Use of various HDACi small molecules enhanced, by up to 4.5-fold (average 2-fold), the suppressive functions of both freshly isolated and expanded human Tregs, consistent with our previous murine data. HDACi use increased Treg expression of CTLA-4, a key negative regulator of immune response, and we found a direct and significant correlation between CTLA-4 expression and Treg suppression. Hence, HDACi compounds are promising pharmacologic tools to increase Treg suppressive functions, and this action may potentially be of use in patients with autoimmunity or post-transplantation.
Example Output: Histone/protein deacetylase inhibitors increase suppressive functions of human FOXP3+ Tregs.

Example Input: Skeletal muscle overload induces the expression of angiogenic factors such as vascular endothelial growth factor (VEGF) and matrix metalloproteinase (MMP)-2, leading to new capillary growth. We found that the overload-induced increase in angiogenesis, as well as increases in VEGF, MMP-2 and MT1-MMP transcripts were abrogated in muscle VEGF KO mice, highlighting the critical role of myocyte-derived VEGF in controlling this process. The upstream mediators that contribute to overload-induced expression of VEGF have yet to be ascertained. We found that muscle overload increased angiotensinogen expression, a precursor of angiotensin (Ang) II, and that Ang II signaling played an important role in basal VEGF production in C2C12 cells. Furthermore, matrix-bound VEGF released from myoblasts induced the activation of endothelial cells, as evidenced by elevated endothelial cell phospho-p38 levels. We also found that exogenous Ang II elevates VEGF expression, as well as MMP-2 transcript levels in C2C12 myotubes. Interestingly, these responses also were observed in skeletal muscle endothelial cells in response to Ang II treatment, indicating that these cells also can respond directly to the stimulus. The involvement of Ang II in muscle overload-induced angiogenesis was assessed. We found that blockade of AT1R-dependent Ang II signaling using losartan did not attenuate capillary growth. Surprisingly, increased levels of VEGF protein were detected in overloaded muscle from losartan-treated rats. Similarly, we observed elevated VEGF production in cultured endothelial cells treated with losartan alone or in combination with Ang II. These studies conclusively establish the requirement for muscle derived VEGF in overload-induced angiogenesis and highlight a role for Ang II in basal VEGF production in skeletal muscle. However, while Ang II signaling is activated following overload and plays a role in muscle VEGF production, inhibition of this pathway is not sufficient to halt overload-induced angiogenesis, indicating that AT1-independent signals maintain VEGF production in losartan-treated muscle.
Example Output: Angiotensin II Evokes Angiogenic Signals within Skeletal Muscle through Co-ordinated Effects on Skeletal Myocytes and Endothelial Cells

Example Input: PURPOSE To determine whether an increased resting energy expenditure (REE) and weight loss in lung cancer patients are related to a systemic inflammatory response. MATERIALS AND METHODS REE was measured by indirect calorimetry using a ventilated hood system. Soluble tumor necrosis factor receptor 55 (sTNF-R55) and sTNF-R75, soluble intercellular adhesion molecule (sICAM)-1, soluble E (sE)-selectin, lipopolysaccharide (LPS)-binding protein (LBP), interleukin (IL)-6, and TNF-alpha were measured using sandwich enzyme-linked immunosorbent assay (ELISA), and C-reactive protein (CRP) was measured by turbidimetry. A cross-sectional study was performed to compare inflammatory mediators between hypermetabolic (REE/Harris Benedict [HB] equation > or = 110%) versus normometabolic (REE/HB < 110%) patients and between patients who lost weight (more than 10% loss of preillness weight) versus those whose weight remained stable.
RESULTS Eighty-seven patients with primary non-small-cell lung cancer were consecutively entered onto the study. Mean REE expressed as a percentage of the HB reference values was 118% +/- 12%; 67 patients were considered hypermetabolic. Twenty-six patients had a substantial loss of more than 10% of their preillness weight. Hypermetabolic patients were found to have significantly increased levels of sTNF-R55, sE-selectin, LBP, and CRP compared with normometabolic patients. Weight loss was related with increased levels of the sTNF-Rs, sICAM-1, IL-6, LBP, and CRP.
CONCLUSION Hypermetabolism and weight loss are related to the presence of a systemic inflammatory response as reflected by enhanced levels of inflammatory mediators and acute phase proteins in patients with primary non-small-cell lung cancer.
Example Output:
Increased resting energy expenditure and weight loss are related to a systemic inflammatory response in lung cancer patients.