Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.
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Question: Charcot-Marie-Tooth (CMT) disease is a group of inherited peripheral neuropathies associated with mutations or copy number variations in over 70 genes encoding proteins with fundamental roles in the development and function of Schwann cells and peripheral axons. Here, we used iPSC-derived cells to identify common pathophysiological mechanisms in axonal CMT.', 'iPSC lines from patients with two distinct forms of axonal CMT (CMT2A and CMT2E) were differentiated into spinal cord motor neurons and used to study axonal structure and function and electrophysiological properties in vitro.', 'iPSC-derived motor neurons exhibited gene and protein expression, ultrastructural and electrophysiological features of mature primary spinal cord motor neurons. Cytoskeletal abnormalities were found in neurons from a CMT2E (NEFL) patient and corroborated by a mouse model of the same NEFL point mutation. Abnormalities in mitochondrial trafficking were found in neurons derived from this patient, but were only mildly present in neurons from a CMT2A (MFN2) patient. Novel electrophysiological abnormalities, including reduced action potential threshold and abnormal channel current properties were observed in motor neurons derived from both of these patients.

Answer: 1

Question: Large mega base-pair genomic regions show robust alterations in DNA methylation levels in multiple cancers. A vast majority of these regions are hypomethylated in cancers. These regions are generally enriched for CpG islands, Lamin Associated Domains and Large organized chromatin lysine modification domains, and are associated with stochastic variability in gene expression. Given the size and consistency of hypomethylated blocks (HMB) across cancer types, we hypothesized that the immediate causes of methylation instability are likely to be encoded in the genomic region near HMB boundaries, in terms of specific genomic or epigenomic signatures. However, a detailed characterization of the HMB boundaries has not been reported.', 'Here, we focused on ~13 k HMBs, encompassing approximately half of the genome, identified in colon cancer. We modeled the genomic features of HMB boundaries by Random Forest to identify their salient features, in terms of transcription factor (TF) binding motifs. Additionally we analyzed various epigenomic marks, and chromatin structural features of HMB boundaries relative to the non-HMB genomic regions.', 'We found that the classical promoter epigenomic mark--H3K4me3, is highly enriched at HMB boundaries, as are CTCF bound sites. HMB boundaries harbor distinct combinations of TF motifs. Our Random Forest model based on TF motifs can accurately distinguish boundaries not only from regions inside and outside HMBs, but surprisingly, from active promoters as well. Interestingly, the distinguishing TFs and their interacting proteins are involved in chromatin modification. Finally, HMB boundaries significantly coincide with the boundaries of Topologically Associating Domains of the chromatin.

Answer: 0

Question: This study was to examine the association between plasma retinol binding protein 4 (RBP4) levels and the complexity of angiographic coronary lesion in patients with coronary artery disease (CAD).', 'A cross-sectional and prospective study was carried out in Guangzhou Chinese population. 672 persons were evaluated by medical history, clinical examination, coronary angiography, and fasting plasma samples, and were followed prospectively for 3 years. We measured the plasma RBP4 levels in 447 women (201 with stable CAD and 246 with acute coronary syndrome [ACS]). Coronary lesions were classified as having a simple or complex appearance based on the visual estimation of the coronary angiograms. Median plasma RBP4 levels were significantly higher in stable CAD patients with complex coronary lesions (n=84) than in those with simple lesions (n=117) (38.78[range 32.65-46.91] vs. 30.78 [range 24.48-36.08] g/ml, P<0.001). Multiple logistic regression analysis demonstrated that higher RBP4 levels were independently associated with a 23% higher risk for complex lesions (odds ratio 1.228, 95% confidence interval [CI] 1.061 to 1.358; P=0.031). Among the ACS patients, who had higher RBP4 levels than the stable CAD patients, those with multiple complex lesions had significantly higher median RBP4 levels than those with a single complex lesion (46.47g/ml [range 37.68-53.29] vs. 38.15g/ml [range 32.26-44.56], P<0.001). Total plasma RBP4 levels were predictors of cardiac death (hazard ratio [HR]: 1.102; 95% CI: 1.086 to 1.191; P=0.012) after adjustment for traditional risk factors for CAD.

Answer:
1