A new method for post Genome-Wide Association Study (GWAS) analysis of colorectal cancer in Taiwan

Recently, single nucleotide polymorphisms (SNPs) located in specific loci or genes have been identified associated with susceptibility to colorectal cancer (CRC) in Genome-Wide Association Studies (GWAS). However, in different ethnicities and regions, the genetic variations and the environmental factors can widely vary. Therefore, here we propose a post-GWAS analysis method to investigate the CRC susceptibility SNPs in Taiwan by conducting a replication analysis and bioinformatics analysis. One hundred and forty-four significant SNPs from published GWAS results were collected by a literature survey, and two hundred and eighteen CRC samples and 385 normal samples were collected for post-GWAS analysis. Finally, twenty-six significant SNPs were identified and reported as associated with susceptibility to colorectal cancer, other cancers, obesity, and celiac disease in a previous GWAS study. Functional analysis results of 26 SNPs indicate that most biological processes identified are involved in regulating immune responses and apoptosis. In addition, an efficient prediction model was constructed by applying Jackknife feature selection and ANOVA testing. As compared to another risk prediction model of CRC for European Caucasians population, which performs 0.616 of AUC by using 54 SNPs, the proposed model shows good performance in predicting CRC risk within the Taiwanese population, i.e., 0.724 AUC by using 16 SNPs. We believe that the proposed risk prediction model is highly promising for predicting CRC risk within the Taiwanese population. In addition, the functional analysis results could be helpful to explore the potential associated regulatory mechanisms that may be involved in CRC development.     

Passive Acoustic Monitoring of the Temporal Variability of Odontocete Tonal Sounds from a Long-Term Marine Observatory

The developments of marine observatories and automatic sound detection algorithms have facilitated the long-term monitoring of multiple species of odontocetes. Although classification remains difficult, information on tonal sound in odontocetes (i.e., toothed whales, including dolphins and porpoises) can provide insights into the species composition and group behavior of these species. However, the approach to measure whistle contour parameters for detecting the variability of odontocete vocal behavior may be biased when the signal-to-noise ratio is low. Thus, methods for analyzing the whistle usage of an entire group are necessary. In this study, a local-max detector was used to detect burst pulses and representative frequencies of whistles within 4.5–48 kHz. Whistle contours were extracted and classified using an unsupervised method. Whistle characteristics and usage pattern were quantified based on the distribution of representative frequencies and the composition of whistle repertoires. Based on the one year recordings collected from the Marine Cable Hosted Observatory off northeastern Taiwan, odontocete burst pulses and whistles were primarily detected during the nighttime, especially after sunset. Whistle usage during the nighttime was more complex, and whistles with higher frequency were mainly detected during summer and fall. According to the multivariate analysis, the diurnal variation of whistle usage was primarily related to the change of mode frequency, diversity of representative frequency, and sequence complexity. The seasonal variation of whistle usage involved the previous three parameters, in addition to the diversity of whistle clusters. Our results indicated that the species and behavioral composition of the local odontocete community may vary among seasonal and diurnal cycles. The current monitoring platform facilitates the evaluation of whistle usage based on group behavior and provides feature vectors for species and behavioral classification in future studies.     

Elevated amniotic fluid F₂-isoprostane: a potential predictive marker for preeclampsia

In the complex mechanism of preeclampsia, oxidative stress is an important pathogenic factor, and F₂-isoprostane is a marker of oxidative stress and lipid peroxidation. The objective of this study was to identify if the amniotic fluid (AF) levels of F₂-isoprostanes were elevated in women who later developed preeclampsia. In this study, we analyzed AF F₂-isoprostane concentrations with enzyme immunoassay (EIA), and the EIA results could be validated by quantitative mass spectrometry. The mean AF concentration of F₂-isoprostanes was significantly higher in pregnancies with subsequent development of preeclampsia (123.1 ± 57.6 pg/ml, n = 85) than in controls (73.8 ± 36.6 pg/ml, n = 85). The AF elevation of F₂-isoprostanes was even higher in the preeclampsia with intrauterine growth restriction group (138.3 ± 65.2 pg/ml, n = 39). The area under the curve of the receiver operating characteristics analysis for AF F₂-isoprostanes assay was 0.81, supporting its potential as a biomarker for preeclampsia. These results indicate that oxidative stress existed before the onset of clinical preeclampsia, further suggesting that the elevation of AF F₂-isoprostanes may be used as a guide for antioxidant supplementation to reduce the risk and/or severity of preeclampsia.     

Direct synthesis of Rev peptide-conjugated gold nanoparticles and their application in cancer therapeutics

We have developed a simple approach for generating peptide-conjugated gold nanoparticles (AuNPs) from the Rev peptide and gold aqueous solution. The peptide functions as both a reducing agent and a capping molecule. AuNPs of various sizes (20-300 nm) and shapes (spheres, triangular plates, and polygons) can be obtained upon modulating the ratio of gold ions to the Rev peptide. Transmission electron microscopy, X-ray diffraction, and UV-vis spectroscopy were utilized to characterize these nanoparticles. Fourier-transform infrared and X-ray photoelectron spectroscopy measurements were performed to investigate chemical interactions between the Rev peptide and AuNPs. Lactate dehydrogenase and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assays revealed that the Rev peptide-AuNP nanocomposites exhibited exceptionally high cytotoxic effects toward mouse ovarian surface epithelial cell lines, relative to the effects of equal doses of the free Rev peptide. Our study suggests a new way of utilizing biomolecule-conjugated AuNPs as potentially effective anticancer drugs.     

Impact of taxol on dermal papilla cells--a proteomics and bioinformatics analysis

Dermal papilla (DP) cells play a regulatory role in hair growth, and also play a role in alopecia (hair loss). However, effects of taxol, which is a widely used chemotherapy drug, on DP cells remain unclear, despite that theoretically taxol can impact on DP cells to contribute to taxol-induced alopecia. To better understand pathophysiology of taxol-induced damage in DP cells, morphological and biochemical analyses were performed to check whether taxol can cause apoptosis in cultured DP cells or not. If it can, proteomics and bioinformatics analyses were then performed to investigate the protein networks which are impacted by the taxol treatment. Our data showed that taxol can cause apoptotic damage in DP cells in a concentration-dependant manner, as demonstrated by various apoptotic markers. Proteomic analysis on DP cells treated with the lowest apoptosis-inducible concentration of taxol revealed that taxol can affect expression of proteins involved in Ca2+-regulated biological processes, vesicles transport, protein folding, reductive detoxification, and biomolecules metabolism. Furthermore, bioinformatics analysis indicated that taxol can impact on multiple biological networks. Taken together, this biochemical, proteomics, and bioinformatics data may give an insight into pathophysiology of taxol-induced damage in DP cells and shed light on mechanisms underlying taxol-induced alopecia.     

Microarray-based comparative genomic hybridization analysis of Wolf-Hirschhorn syndrome in a fetus with deletion of 4p15.3 to 4pter

BACKGROUND: Wolf-Hirschhorn syndrome (WHS), caused by the deletion of a segment in chromosome 4, is characterized by mental and developmental defects. Clinical manifestations of WHS include intrauterine growth restriction, failure to thrive in the neonatal period that is present simultaneously with hypotonia, typical "Greek helmet" facial appearance, cleft lip and palate, mental deficiency, and seizures. CASE: We present a case of WHS with prenatal conventional cytogenetics of 46,XY,der(4)t(4;13)(p15.3;p11.2)pat. High-resolution mapping using microarray-based comparative genomic hybridization (array-CGH), including Affymetrix 10K arrays and cDNA microarrays, confirmed the loss of genes in the deleted region. CONCLUSIONS: The correlation between these candidate genes and the phenotypes of WHS may expand our understanding of the defective development caused by 4p deletion.     

CGcgh: a tool for molecular karyotyping using DNA microarray-based comparative genomic hybridization (array-CGH)

Microarray-based comparative genomic hybridization (array-CGH) is a technique by which variations in copy numbers between two genomes can be analyzed using DNA microarrays. Array CGH has been used to survey chromosomal amplifications and deletions in fetal aneuploidies or cancer tissues. Herein we report a user-friendly, MATLAB-based, array CGH analyzing program, Chang Gung comparative genomic hybridization (CGcgh), as a standalone PC version. The analyzed chromosomal data are displayed in a graphic interface, and CGcgh allows users to launch a corresponding G-banding ideogram. The abnormal DNA copy numbers (gains and losses) can be identified automatically using a user defined window size (default value is 50 probes) and sequential student t-tests with sliding windows along with chromosomes. CGcgh has been tested in multiple karyotype-confirmed human samples, including five published cases and trisomies 13, 18, 21 and X from our laboratories, and 18 cases of which microarray data are available publicly. CGcgh can be used to detect the copy number changes in small genomic regions, which are commonly encountered by clinical geneticists. CGcgh works well for the data from cDNA microarray, spotted oligonucleotide microarrays, and Affymetrix Human Mapping Arrays (10K, 100K, 500K Array Sets). The program can be freely downloaded from . Y. S. Lee and A. Chao contributed equally to this work.     

Functional Analyses of Endometriosis-Related Polymorphisms in the Estrogen Synthesis and Metabolism-Related Genes

Endometriosis is determined by genetic factors, and the prevalence of genetic polymorphisms varies greatly depending on the ethnic group studied. The objective of this study was to investigate the relationship between single nucleotide polymorphisms (SNPs) of 9 genes involved in estrogen biosynthesis and metabolism and the risks of endometriosis. Three hundred patients with endometriosis and 337 non-endometriotic controls were recruited. Thirty four non-synonymous SNPs, which change amino acid residues, were analyzed using matrix-assisted laser desorption-ionization time-of-flight mass spectrometry (MALDI-TOF MS). The functions of SNP-resulted amino acid changes were analyzed using multiple web-accessible databases and phosphorylation predicting algorithms. Among the 34 NCBI-listed SNPs, 22 did not exhibit polymorphism in this study of more than 600 Taiwanese Chinese women. However, homozygous and heterozygous mutants of 4 SNPs - rs6165 (genotype GG+GA, 307^Ala/Ala+307^Ala/Thr) of FSHR, rs 6166 (genotype GG+GA, 680^Ser/Asn+680^Ser/Ser) of FSHR, rs2066479 (genotype AA+AG, 289^Ser/Ser+289^Ser/Gly) of HSD17B3 and rs700519 (genotype TT+TC, 264^Cys/Cys+264^Cys/Arg) of CYP19, alone or in combination, were significantly associated with decreased risks of endometriosis. Bioinformatics results identified 307^Thr of FSHR to be a site for O-linked glycosylation, 680^Ser of FSHR a phosphorylated site by protein kinase B, and 289^Ser of HSD17B3 a phosphorylated site by protein kinase B or ribosomal protein S6 kinase 1. Results of this study suggest that non-synonymous polymorphisms of FSHR, HSD17B3 and CYP19 genes may modulate the risk of endometriosis in Taiwanese Chinese women. Identification of the endometrosis-preferential non-synonymous SNPs and the conformational changes in those proteins may pave the way for the development of more disease-specific drugs.     

Vaginal microbiome variances in sample groups categorized by clinical criteria of bacterial vaginosis

Background

One of the most common and recurrent vaginal infections is bacterial vaginosis (BV). The diagnosis is based on changes to the “normal” vaginal microbiome; however, the normal microbiome appears to differ according to reproductive status and ethnicity, and even among individuals within these groups. The Amsel criteria and Nugent score test are widely used for diagnosing BV; however, these tests are based on different criteria, and so may indicate distinct changes in the vaginal microbial community. Nevertheless, few studies have compared the results of these test against metagenomics analysis.

Methods

Vaginal flora samples from 77 participants were classified according to the Amsel criteria and Nugent score test. The microbiota composition was analyzed using 16S ribosome RNA gene amplicon sequencing. Bioinformatics analysis and multivariate statistical analysis were used to evaluate the microbial diversity and function.

Results

Only 3 % of the participants diagnosed BV negative using the Amsel criteria (A−) were BV-positive according to the Nugent score test (N+), while over half of the BV-positive patients using the Amsel criteria (A+) were BV-negative according to the Nugent score test (N−). Thirteen genera showed significant differences in distribution among BV status defined by BV tests (e.g., A − N−, A + N− and A + N+). Variations in the four most abundant taxa, Lactobacillus, Gardnerella, Prevotella, and Escherichia, were responsible for most of this dissimilarity. Furthermore, vaginal microbial diversity differed significantly among the three groups classified by the Nugent score test (N−, N+, and intermediate flora), but not between the Amsel criteria groups. Numerous predictive microbial functions, such as bacterial chemotaxis and bacterial invasion of epithelial cells, differed significantly among multiple BV test, but not between the A− and A+ groups.

Conclusions

Metagenomics analysis can greatly expand our current understanding of vaginal microbial diversity in health and disease. Metagenomics profiling may also provide more reliable diagnostic criteria for BV testing.