Radiomics features from perihematomal edema for prediction of prognosis in the patients with basal ganglia hemorrhage.

Objective: We developed and validated a clinical-radiomics nomogram to predict the prognosis of basal ganglia hemorrhage patients. Methods: Retrospective analyses were conducted in 197 patients with basal ganglia hemorrhage (training cohort: n = 136, test cohort: n = 61) who were admitted to The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital) and underwent computed tomography (CT) scan. According to different prognoses, patients with basal ganglia hemorrhage were divided into two groups. Independent clinical risk factors were derived with univariate and multivariate regression analysis. Radiomics signatures were obtained using least absolute shrinkage and selection operator. A radiomics score (Rad-score) was generated by 12 radiomics signatures of perihematomal edema (PHE) from CT images that were correlated with the prognosis of basal ganglia hemorrhage patients. A clinical-radiomics nomogram was conducted by combing the Rad-score and clinical risk factors using logistic regression analysis. The prediction performance of the nomogram was tested in the training cohort and verified in the test cohort. Results: The clinical model conducted by four clinical risk factors and 12 radiomcis features were used to establish the Rad-score. The clinical-radiomics nomogram outperformed the clinical model in the training cohort [area under the curve (AUC), 0.92 vs. 0.85] and the test cohort (AUC, 0.91 vs 0.85). The clinical-radiomics nomogram showed good calibration and clinical benefit in both the training and test cohorts. Conclusion: Radiomics features of PHE in patients with basal ganglia hemorrhage could contribute to the outcome prediction. The clinical-radiomics nomogram may help first-line clinicians to make individual clinical treatment decisions for patients with basal ganglia hemorrhage.

Stainless steel sheets as the substrate of disposable electrochemical sensors for analysis of heavy metals or biomolecules.

In this paper, low-cost stainless steel sheets with excellent electric conductivity were utilized as the robust substrate for fabrication of disposable working electrodes. The stainless steel electrodes were modified with carbon cement and then coupled in paper-based analytical devices for analysis of heavy metals (cadmium and lead) in toys or indole-3-acetic acid (IAA) in plants, respectively. For stripping analysis of cadmium and lead, the dilution ratio of the carbon cement, the pH value of the buffer solution, the pre-deposition potential and time, and the bismuth concentration were optimized with the detection limits reaching 1 µg•L-1. After optimization of the dilution ratio of carbon cement, the similar devices could also be used for analysis of IAA at the concentration of less than 0.5 µM. This strategy could be successfully applied for differentiation of migratable lead in toys or in situ amounts of IAA in root tips of Arabidopsis thaliana in real time, respectively. Our results implied that the electric conductivity of the substrate could possibly be critical for the improvement of the analytical performance of the modified electrodes. This study suggested that stainless steel could become a suitable and cost-effective substrate for fabrication of disposable carbon-based electrodes used in electrochemical detection.

Systematically Dissecting the Function of RNA-Binding Proteins During Glioma Progression.

RNA-binding proteins (RBPs) play important roles in regulating gene expression and dysregulation of RBPs have been observed in various types of cancer. However, the role of RBPs during glioma progression, and particular in Chinese patients, is only starting to be unveiled. Here, we systematically analyzed the somatic mutation, gene expression patterns of 2949 RBPs during glioma progression. Our comprehensive study reveals several of highly mutated genes (such as ATRX, TTN and SETD2) and differentially expressed genes (such as KIF4A, TTK and CEP55). Integration of the expression of RBPs and genes, we constructed a regulatory network in glioma and revealed the functional links between RBPs and cancer-related genes. Moreover, we identified the prognosis spectrum of RBPs during glioma progression. The expression of a number of RBPs, such as SNRPN and IGF2BP3, are significantly associated with overall survival of patients in all grades. Taken together, our analyses provided a valuable RBP resource during glioma progression, and revealed several candidates that potentially contribute to development of therapeutic targets for glioma.

Platinum-catalyzed hydrative cyclization of 1,6-diynes for the synthesis of 3,5-substituted conjugated cyclohexenones.

We have developed a Pt(COD)Cl(2)-catalyzed hydrative cyclization of 1,6-diynes leading to the formation of functionalized cyclohexenones in good yields.

Effect of Peptide-Chelate Architecture on Metabolic Stability of Peptide-based MRI Contrast Agents.

A strategy for preparing high relaxivity, metabolically stable peptide-based MR contrast agents is described.

[(3R,4S)-4-(4-Fluoro-phen-yl)-1-methyl-piperidin-3-yl]methyl 4-methyl-benzene-sulfonate.

In the title compound, C(20)H(24)FNO(3)S, the piperidine ring adopts a chair conformation. The dihedral angle between the aromatic rings is 47.01 (17)°.

Diisopropyl 3-[(E)-2-(3,4-dimethoxy-phen-yl)ethen-yl]-5-oxocyclo-hex-3-ene-1,1-dicarboxyl-ate.

The title compound, C(24)H(30)O(7), displays a trans configuration with respect to the C=C bond. The cyclo-hexenone ring has an envelope conformation; the flap atom (with the isopropoxycarbonyl groups) is displaced by 0.664 (3) Šfrom the plane of the other five ring atoms and the carbonyl O atom. The dihedral angle between the cyclo-hexenone ring and the benzene ring is 7.85 (9)°. The meta and para meth-oxy O atoms are displaced by 0.003 (7) and 0.031 (4) Å, respectively, from the benzene ring to which they are attached.

'Signature sets', minimal fragment sets for identifying protein disulfide structures with cyanylation-based mass mapping methodology.

Our cyanylation (CN)-based methodology for determining disulfide structure of cystinyl proteins overcomes the limitations of conventional proteolytic methods. However, the CN-based method has the potential drawback that occasionally some CN-induced cleavage fragments may not be detected. We show that CN-based methods can overcome the failure to detect fragments by demonstrating the existence of small 'signature sets' of fragments. The link between signature sets and the robustness of CN-based methodology is validated by two case studies.

Algorithm-assisted elucidation of disulfide structure: application of the negative signature mass algorithm to mass-mapping the disulfide structure of the 12-cysteine transforming growth factor beta type II receptor extracellular domain.

The power of an algorithm-driven method for interpreting disulfide mass-mapping data is demonstrated in the context of determining the disulfide structure of the extracellular domain of the transforming growth factor beta type II receptor, a 14-kDa cystinyl protein containing 12 cysteines in the form of six disulfide bonds. The disulfide mass-mapping methodology is based on partial reduction and cyanylation-induced cleavage of the cystinyl protein. Because the multiplicity of possible disulfide structures that must be considered grows rapidly with the number of cysteines, as does the difficulty in physically isolating each of the partially reduced and cyanylated isoforms of the analyte, manual data interpretation for disulfide mapping a cystinyl protein containing more than eight cysteines becomes unmanageable. Recently, we introduced the concept of a "negative signature mass algorithm" (NSMA) to determine the disulfide structure of a cystinyl protein by processing an input of its amino acid sequence and mass spectral data from analysis of its associated cyanylation-induced cleavage products. Here, we present experimental results to validate the NSMA concept. A key advantage of the NSMA, in addition to convenience and automation, is its capacity to interpret mass spectra from mixtures of cyanylation-induced cleavage fragments without separating the partially reduced isoforms of the cystinyl protein and without knowledge of the extent of partial reduction.

Automated data interpretation based on the concept of "negative signature mass" for mass-mapping disulfide structures of cystinyl proteins.

An efficient method for data processing and interpretation is needed to support and extend disulfide mass-mapping methodology based on partial reduction and cyanylation-induced cleavage to proteins containing more than four cystines. Here, the concept of "negative signature mass" is introduced as the novel feature of an algorithm designed to identify the disulfide structure of a cystinyl protein given an input of mass spectral data and an amino acid sequence. The "negative signature mass" process is different from the conventional approach in that it does not directly rule-in disulfide linkages, but rather eliminates linkages from a list of all possible theoretical linkages, with the goal of ruling out enough linkages so that only one disulfide structure can be constructed. The operating principles and the effectiveness of the algorithm are described in the context of analyzing ribonuclease A, a 124-residue protein containing eight cysteines in the form of four cystines (disulfides).