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.

Q: Exertional fatigue and dyspnoea limit the daily activities of patients with pulmonary arterial hypertension 1. These symptoms are usually explained by the inability of the overloaded right ventricle to perfuse the lungs and to adapt systemic oxygen delivery to oxygen demand. Accordingly, pulmonary hypertension patients present with reductions in peak oxygen uptake, anaerobic threshold, oxygen pulse, ventilatory efficiency and 6-min walk distance 28. This ergospirometric profile is strikingly similar to that of congestive heart failure 812, further supporting the notion of impaired cardiac output adaptation to peripheral oxygen requirements as the main cause of decreased exercise capacity. However, in both pulmonary hypertension and heart failure, ergospirometric variables and walk distances are better correlated to functional class and prognosis than to haemodynamic function 3, 6, 7, 1012. In addition, impaired skeletal muscle function has been repeatedly reported in heart failure, fuelling a "muscle hypothesis" relating dyspnoea and fatigue symptoms to skeletal muscle metaboreceptor and/or ergoreceptor reflexes 13. The muscle hypothesis implies a persistent sympathetic nervous system activation, which has indeed been shown to occur in heart failure 14 and also, more recently, in pulmonary hypertension 15. Until now, there have been no studies on skeletal muscle function in pulmonary arterial hypertension. In the present issue of the European Respiratory Journal , Meyer et al. 16 report data suggesting that respiratory muscle strength is decreased in pulmonary arterial hypertension. In a prospective study on 37 patients with idiopathic pulmonary hypertension, significant decreases in maximal inspiratory (MIP) and expiratory pressures (MEP) were measured, together with an increased mouth occlusion pressure within first 0.1 s of inspiration ( P 0.1), suggesting inadequate muscle

A: Breathing more with weaker respiratory muscles in pulmonary arterial hypertension.
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Q: Organisms are constantly challenged by stresses and privations and require adaptive responses for their survival. The forkhead box O (FOXO) transcription factor DAF-16 (hereafter referred to as DAF-16/FOXO) is a central nexus in these responses, but despite its importance little is known about how it regulates its target genes. Proteomic identification of DAF-16/FOXO-binding partners in Caenorhabditis elegans and their subsequent functional evaluation by RNA interference revealed several candidate DAF-16/FOXO cofactors, most notably the chromatin remodeller SWI/SNF. DAF-16/FOXO and SWI/SNF form a complex and globally co-localize at DAF-16/FOXO target promoters. We show that specifically for gene activation, DAF-16/FOXO depends on SWI/SNF, facilitating SWI/SNF recruitment to target promoters, to activate transcription by presumed remodelling of local chromatin. For the animal, this translates into an essential role for SWI/SNF in DAF-16/FOXO-mediated processes, in particular dauer formation, stress resistance and the promotion of longevity. Thus, we give insight into the mechanisms of DAF-16/FOXO-mediated transcriptional regulation and establish a critical link between ATP-dependent chromatin remodelling and lifespan regulation.

A: DAF-16/FOXO employs the chromatin remodeller SWI/SNF to promote stress resistance and longevity
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Q: The Cancer Genome Atlas Network recently cataloged recurrent genomic abnormalities in glioblastoma multiforme (GBM). We describe a robust gene expression-based molecular classification of GBM into Proneural, Neural, Classical, and Mesenchymal subtypes and integrate multidimensional genomic data to establish patterns of somatic mutations and DNA copy number. Aberrations and gene expression of EGFR, NF1, and PDGFRA/IDH1 each define the Classical, Mesenchymal, and Proneural subtypes, respectively. Gene signatures of normal brain cell types show a strong relationship between subtypes and different neural lineages. Additionally, response to aggressive therapy differs by subtype, with the greatest benefit in the Classical subtype and no benefit in the Proneural subtype. We provide a framework that unifies transcriptomic and genomic dimensions for GBM molecular stratification with important implications for future studies.

A:
Integrated genomic analysis identifies clinically relevant subtypes of glioblastoma characterized by abnormalities in PDGFRA, IDH1, EGFR, and NF1.
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