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.
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Question: AIM To examine the therapeutic/preventive potential of liposome-encapsulated spironolactone (SP; Lipo-SP) for acute lung injury (ALI) and fibrosis. MATERIALS & METHODS Lipo-SP was prepared by the film-ultrasonic method, and physicochemical and pharmacokinetic characterized for oral administration (10 and 20 mg/kg for SP-loaded liposome; 20 mg/kg for free SP) in a mouse model bleomycin-induced ALI.
RESULTS Lipo-SP enhanced bioavailability of SP with significant amelioration in lung pathology. Mechanistically, SP-mediated mineralocorticoid receptor antagonism contributes to inflammatory monocyte/macrophage modulation via an inhibitory effect on Ly6C(hi) monocytosis-directed M2 polarization of alveolar macrophages. Moreover, Lipo-SP at lower dose (10 mg/kg) exhibited more improvement in body weight gain.
CONCLUSION Our data highlight Lipo-SP as a promising approach with therapeutic/preventive potential for ALI and fibrosis.

Answer: Inflammatory monocyte/macrophage modulation by liposome-entrapped spironolactone ameliorates acute lung injury in mice.

Question: Induced pluripotent stem cells (iPSCs) are commonly generated by transduction of Oct4, Sox2, Klf4, and Myc (OSKM) into cells. Although iPSCs are pluripotent, they frequently exhibit high variation in terms of quality, as measured in mice by chimera contribution and tetraploid complementation. Reliably high-quality iPSCs will be needed for future therapeutic applications. Here, we show that one major determinant of iPSC quality is the combination of reprogramming factors used. Based on tetraploid complementation, we found that ectopic expression of Sall4, Nanog, Esrrb, and Lin28 (SNEL) in mouse embryonic fibroblasts (MEFs) generated high-quality iPSCs more efficiently than other combinations of factors including OSKM. Although differentially methylated regions, transcript number of master regulators, establishment of specific superenhancers, and global aneuploidy were comparable between high- and low-quality lines, aberrant gene expression, trisomy of chromosome 8, and abnormal H2A.X deposition were distinguishing features that could potentially also be applicable to human.

Answer: The developmental potential of iPSCs is greatly influenced by reprogramming factor selection.

Question: BACKGROUND The diagnostic value of microRNA (miRNA) detection in patients with bladder cancer (BCa) is controversial. We performed a diagnostic meta-analysis to evaluate current evidence on the use of miRNA assays to diagnose BCa.
METHODS We systematically searched PubMed, Embase, and Web of Science for studies published before March 31, 2015. The pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio, and area under the curve (AUC) were calculated to evaluate the overall test performance. Subgroup analyses were used to explore the between-study heterogeneity. Deeks' funnel plot asymmetry test was used to test publication bias. We applied the software of RevMan 5.2 and Stata 11.0 to the meta-analysis.
RESULTS A total of 23 studies from nine articles were included in the meta-analysis, with a total of 719 patients and 494 controls. The pooled sensitivity and specificity were 0.75 (95% confidence interval [CI], 0.68-0.80) and 0.75 (95% CI, 0.70-0.80), respectively. The pooled positive likelihood ratio was 3.03 (95% CI, 2.50-3.67); negative likelihood ratio was 0.33 (95% CI, 0.27-0.42); and diagnostic odds ratio was 9.07 (95% CI, 6.35-12.95). The pooled AUC was 0.81 (95% CI, 0.78-0.85). Subgroup analyses indicated that the multiple miRNAs assays and urine supernatant assays showed high accuracies in diagnosing BCa.
CONCLUSION The miRNA assays may serve as potential noninvasive diagnostic tool for the detection of BCa. However, the clinical application of miRNA assays for BCa diagnosis still needs further validation by large prospective studies.

Answer:
Urine microRNAs as biomarkers for bladder cancer: a diagnostic meta-analysis