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41.

Background and Objectives

Prostate cancer (PCa) is one of the most common cancers and leading cause of cancer-related deaths in men. Mass screening has been carried out since the 1990s using prostate-specific antigen (PSA) levels in the serum as a PCa biomarker. However, although PSA is an excellent organ-specific marker, it is not a cancer-specific marker. Therefore, the aim of this study was to discover new biomarkers for the diagnosis of PCa.

Materials and Methods

We focused on urine samples voided following prostate massage (digital rectal examination [DRE]) and conducted a peptidomic analysis of these samples using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF/MSn). Urinary biomaterials were concentrated and desalted using CM-Sepharose prior to the following analyses being performed by MALDI-TOF/MSn: 1) differential analyses of mass spectra; 2) determination of amino acid sequences; and 3) quantitative analyses using a stable isotope-labeled internal standard.

Results

Multivariate analysis of the MALDI-TOF/MS mass spectra of urinary extracts revealed a 2331 Da peptide in urine samples following DRE. This peptide was identified as a C-terminal PSA fragment composed of 19 amino acid residues. Moreover, quantitative analysis of the relationship between isotope-labeled synthetic and intact peptides using MALDI-TOF/MS revealed that this peptide may be a new pathognomonic biomarker candidate that can differentiate PCa patients from non-cancer subjects.

Conclusion

The results of the present study indicate that the 2331 Da peptide fragment of PSA may become a new pathognomonic biomarker for the diagnosis of PCa. A further large-scale investigation is currently underway to assess the possibility of using this peptide in the early detection of PCa.  相似文献   
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Aim Identify environmental correlates for tropical tree diversity and composition. Location Borneo, Southeast Asia. Methods A GIS‐environmental database with 5 arc minute (c. 10 × 10 km) resolution was combined with tree inventory data. Tree diversity, phylogenetic diversity (PD) and the two main compositional gradients were determined for 46 tree inventories. Akaike's information criterion and a data jackknifing procedure were used to select 50 explanatory models for diversity and composition gradients. The average of these models was used as our final diversity and compositional model. We applied Moran's I to detect spatial autocorrelation of residuals. Results Tree diversity, PD and the two main compositional gradients in Borneo were all significantly correlated with the environment. Tree diversity correlated negatively with elevation, soil depth, soil coarseness (texture) and organic carbon content, whereas it correlated positively with soil C:N ratio, soil pH, moisture storage capacity and annual rainfall. Tree PD was correlated positively with elevation and temperature seasonality and was largely determined by gymnosperms. However, angiosperm PD also correlated positive with elevation. Compositional patterns were strongly correlated with elevation but soil texture, cation‐exchange‐capacity, C:N ratio, C and N content and drainage were also important next to rainfall seasonality and El Niño Southern Oscillation drought impact. Main conclusions Although elevation is the most important correlate for diversity and compositional gradients in Borneo, significant additional variability is explained by soil characteristics (texture, carbon content, pH, depth, drainage and nutrient status) and climate (annual rainfall, rainfall seasonality and droughts). The identified environmental correlates for diversity and composition gradients correspond to those found in other tropical regions of the world. Differences between the regions are mainly formed by differences in the relative importance of the environmental variables in explaining diversity and compositional gradients.  相似文献   
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Takyu M  Aiba S  Kitayama K 《Oecologia》2003,134(3):397-404
We have examined how the structure and function of a forest ecosystem change with topography (lower-slope versus ridge) and how the changes are modified by nutrient availability depending on geological substrate (Quaternary and Tertiary sedimentary rocks and ultrabasic rock) in the tropical montane rain forests of Mt. Kinabalu (Borneo) where climate is humid and aseasonal. Reflecting the difference in site age and parent rock, the pool size of soluble-P and inorganic-N in topsoil decreased from Quaternary sedimentary >Tertiary sedimentary >ultrabasic rock on the lower-slope, and they decreased from the lower-slope to the ridge on all substrates. Forest structural attributes [stature, above-ground biomass, and leaf area index (LAI)] decreased in the order of Quaternary sedimentary >Tertiary sedimentary >ultrabasic rock in association with soil nutrients on the lower-slopes, and decreased upslope consistently on each of the three substrates. Functional attributes [above-ground net primary productivity (ANPP) and decomposition rate] demonstrated similar patterns to structure. ANPP significantly correlated with LAI among the six sites, while net assimilation rate (ANPP divided by LAI assuming an even productivity between above vs below-ground system) was nearly constant. Therefore, ANPP could be explained primarily by LAI. Topographical change in LAI could be explained by leaf mass per area (LMA) combined with stand-level leaf biomass. LMA increased upslope on all substrates in association with the decrease in individual leaf area. Stand-level leaf biomass decreased upslope on all substrates but the Tertiary sedimentary rock. Our study demonstrated that topography and geological substrates interactively affected forest structure and processes. The effect of topography on forest structure and processes was greater on nutrient-rich substrates than on poor substrates, and the effect of geological substrate was greater on lower-slopes than on ridges.  相似文献   
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Recent progress in mass spectrometry has led to new challenges in glycomics, including the development of rapid glycan enrichment techniques. A facile technique for exploration of a carbohydrate-related biomarker is important because proteomics research targets glycosylation, a posttranslational modification. Here we report an "all-in-one" protocol for high throughput clinical glycomics. This new technique integrates glycoblotting-based glycan enrichment onto the BlotGlycoABC bead, on-bead stabilization of sialic acids, and fluorescent labeling of oligosaccharides in a single workflow on a multiwell filter plate. The advantage of this protocol and MALDI-TOF MS was demonstrated through differentiation of serum N-glycan profiles of subjects with congenital disorders of glycosylation and hepatocellular carcinoma and healthy donors. The method also permitted total cellular glycomics analysis of human prostate cancer cells and normal human prostate epithelial cells. These results demonstrate the potentials of glycan enrichment/processing for biomarker discovery.  相似文献   
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The functional differences between male and female brains commit to the existence of androgen that the testis secretes during the perinatal period. Androgen exerts its action on the brain after conversion to estrogen by brain aromatase. The aromatase appears in some neural nuclei such as in the hypothalamus and amygdala, and has been indicated to be involved in the expression of sexuality by the results of neurobehavioral analyses involving aromatase-knockout mice. We analyzed the brain-specific promoter in order to clarify the control mechanism for the expression of brain aromatase, which is deeply concerned in the sexual differentiation of the brain. The 202 bp upstream region of brain-specific exon 1 contains at least three kinds of cis-acting elements, Arom-Aα, -Aβ and -B. In particular, the binding activities as to the Aβ sequence show a tissue-specific pattern. Gel shift analysis revealed that the Aβ binding factor recognizes the TTGGCCCCT sequence. Aβ binding activity is detectable at the perinatal stage, but is undetectable at the adult stage in the brain. Furthermore, a protein which binds to the Aβ sequence was purified from the fetal mouse brain. The molecular mass of the Aβ binding protein was estimated to be 49 kDa by sodium dodecyl sulfate-polyacrylamide gel electrophoresis.  相似文献   
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