Genome-wide association study of myelosuppression in non-small-cell lung cancer patients with platinum-based chemotherapy

Platinum-induced myelosuppression severely impedes successful chemotherapy in non-small-cell lung cancer (NSCLC) patients. Hence, it is clinically important to identify the patients who are at high risk for severe toxicity to certain chemotherapy. We first carried out a genome-wide scan of 906 703 single-nucleotide polymorphisms (SNPs) to identify genetic variants associated with platinum-induced myelosuppression risk in 333 NSCLC patients with chemotherapy. Then, we replicated 24 SNPs that had P<1 × 10(-4) in another independent cohort of 876 NSCLC patients. With P<0.05 as the criterion of statistical significance, we found that rs13014982 at 2q24.3 and rs9909179 at 17p12 exhibited consistently significant associations with myelosuppression risk in both the genome-wide association studies (GWAS) scan and the replication stage (rs13014982: odds ratio (OR)=0.55, 95% confidence intervals (CIs): 0.41-0.74, P=7.29 × 10(-5) for GWAS scan and OR=0.77, 95% CI: 0.65-0.93, P=0.006 for replication stage; rs9909179: OR=0.51, 95% CI: 0.37-0.70, P=4.60 × 10(-5) for GWAS scan and OR=0.82, 95% CI: 0.68-0.99, P=0.040 for replication stage; both in additive model). In combined samples of genome-wide scan and replication samples, the minor alleles of rs13014982 and rs9909179 remained significant associations with the decreased risk of myelosuppression (rs13014982: OR=0.71, 95% CI: 0.61-0.83, P =1.36 × 10(-5); rs9909179: OR=0.76, 95% CI: 0.65-0.89, P=0.001). Rs13014982 at 2q24.3 and rs9909179 at 17p12 might be independent susceptibility markers for platinum-induced myelosuppression risk in NSCLC patients.

Identification of molecular markers in patients with hypertensive heart disease accompanied with coronary artery disease

We investigated the plasma hypersensitive C-reactive protein (hs-CRP), oxidized low-density lipoprotein (ox-LDL), and apelin levels in patients with hypertensive heart disease (HHD) plus coronary artery disease (CAD). Patients with hypertension hospitalized in Xuzhou Central Hospital were categorized into the HHD group and the HHD plus CAD group; 40 healthy subjects served as the control group. hs-CRP expression was determined with chemiluminescence. The expression of ox-LDL and apelin was analyzed with enzyme-linked immunosorbent assay. HHD was chiefly responsible for left atrial enlargement (P < 0.05) and left ventricle diastolic function insufficiency (P < 0.05). hs-CRP and ox-LDL were significantly higher in the HHD group than in the control group (P < 0.05). Compared with the control and HHD groups, significant increases in hs-CRP and ox-LDL levels were observed in the HHD plus CAD group. Apelin expression significantly decreased in the HHD group compared with that in controls (P < 0.05). Meanwhile, apelin expression significantly decreased in the HHD plus CAD group compared with that in the HHD (P < 0.05) and control (P < 0.05) groups. Logistic regression analysis for the binomial response variable indicated that high systolic pressure/diastolic pressure, increase in hs-CRP level, and decrease in apelin concentration were the risk factors for hypertension and cardiac impairments. HHD plus CAD has a greater influence on cardiac function than HHD alone. Increased inflammation and oxidative stress, as well as decreased secretion of cardiac protective factors, may be associated with the simultaneous onset of HHD and CAD.

Identification of nicotinamide phosphoribosyltransferase (NAMPT) inhibitors with no evidence of CYP3A4 time-dependent inhibition and improved aqueous solubility

Herein we report the optimization efforts to ameliorate the potent CYP3A4 time-dependent inhibition (TDI) and low aqueous solubility exhibited by a previously identified lead compound from our NAMPT inhibitor program (1, GNE-617). Metabolite identification studies pinpointed the imidazopyridine moiety present in 1 as the likely source of the TDI signal, and replacement with other bicyclic systems was found to reduce or eliminate the TDI finding. A strategy of reducing the number of aromatic rings and/or lowering cLogD7.4 was then employed to significantly improve aqueous solubility. These efforts culminated in the discovery of 42, a compound with no evidence of TDI, improved aqueous solubility, and robust efficacy in tumor xenograft studies.

Low serum levels of vitamin D are associated with post-stroke depression

BACKGROUND AND PURPOSE

Low serum levels of vitamin D have been associated with depression in non-stroke subjects. Our aim was to examine the possible association between serum vitamin D levels and the development of post-stroke depression (PSD).

METHODS

In total, 189 patients with acute ischaemic stroke were consecutively recruited. Serum levels of 25-hydroxyvitamin D [25(OH)D] were measured by competitive protein-binding assay within 24 h after admission. The 17-item Hamilton Depression Scale was used for screening for the existence of depressive symptoms at 1 month after stroke. Patients with a Hamilton Depression Scale score of ≥7 were given the Structured Clinical Interview of the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, for diagnosis of PSD. Meanwhile, 100 healthy control subjects were also recruited and underwent measurement of 25(OH)D.

RESULTS

Fifty-five patients (29.1%) were diagnosed as having PSD at 1 month. Serum vitamin D levels within 24 h after admission were significantly lower in both non-PSD patients and PSD patients than in normal controls. PSD patients had significantly lower vitamin D than non-PSD patients. Serum vitamin D levels (≤37.1 and ≥64.1 nmol/l) were independently associated with the development of PSD (odds ratio 8.824, 95% confidence interval 2.011-38.720, P = 0.004, and odds ratio 0.127, 95% confidence interval 0.022-0.718, P = 0.020, respectively).

CONCLUSIONS

Serum vitamin D levels within 24 h after admission are found to be associated with PSD and may predict its development at 1 month post-stroke.

Effects of curcumin on hippocampal expression of NgR and axonal regeneration in Aβ-induced cognitive disorder rats

Curcumin has been widely used for the prevention and treatment of Alzheimer's disease (AD), but its mechanism is still not clear. Inhibitory factors of axonal regeneration have been shown to cause a series of pathophysiological changes in the early period of AD. In this study, the co-receptor (Nogo receptor; NgR) of three axonal growth-inhibitory proteins was examined, and effects of curcumin on spatial learning and memory abilities and hippocampal axonal growth were investigated in amyloid β-protein (Aβ)1-40-induced AD rats. Results showed that the expression of NgR in the AD group significantly increased and the number of axonal protein-positive fibers significantly reduced. The spatial learning and memory abilities of AD rats were significantly improved in the curcumin group. Furthermore, hippocampal expressions of NgR mRNA and protein decreased, and the expression of axonal protein significantly increased. There was a negative correlation between the expression of NgR and axonal growth. Together, these results suggested that curcumin could improve the spatial learning and memory abilities of AD rats. The mechanism might be related with its lowering of hippocampal NgR expression and promoting axonal regeneration.

Text-Based Twitter User Geolocation Prediction

Geographical location is vital to geospatial applications like local search and event detection. In this paper, we investigate and improve on the task of text-based geolocation prediction of Twitter users. Previous studies on this topic have typically assumed that geographical references (e.g., gazetteer terms, dialectal words) in a text are indicative of its author’s location. However, these references are often buried in informal, ungrammatical, and multilingual data, and are therefore non-trivial to identify and exploit. We present an integrated geolocation prediction framework and investigate what factors impact on prediction accuracy. First, we evaluate a range of feature selection methods to obtain “location indicative words”. We then evaluate the impact of non-geotagged tweets, language, and user-declared metadata on geolocation prediction. In addition, we evaluate the impact of temporal variance on model generalisation, and discuss how users differ in terms of their geolocatability. We achieve state-of-the-art results for the text-based Twitter user geolocation task, and also provide the most extensive exploration of the task to date. Our findings provide valuable insights into the design of robust, practical text-based geolocation prediction systems.