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1.
Artigo em Inglês | MEDLINE | ID: mdl-31942788

RESUMO

We report an efficient, reusable and selective 6-Aminothiouracil (ATA) modified Zr(IV)-based adsorbent (defined as UiO-66-ATA(Zr)) for Lead ion removal in water. The adsorption equilibrium time and the maximum sorption capacity of UiO-66-ATA(Zr) for Pb(II) are respectively 120 min and 386.98 mg/g at pH 4 and 298 K. The Pb(II) removal rate reaches 96% at 60 min and exceeds 99% at the equilibrium state in the pH range of 2.0-5.8. Hill and Pseudo-second-order models can well describe the sorption process. Pb(II) adsorbing onto UiO-66-ATA(Zr) is irreversible, favorable chemisorption with multi-molecule participation and film diffusion control. The calculations of DFT, the experimental results and the characterization analyses suggest that the binding mechanisms are the chelation, ion exchange and electrostatic interactions between hydroxyl/amino/sulfhydryl groups of UiO-66-ATA(Zr) and Pb(II). Besides, UiO-66-ATA(Zr) has a better affinity to Pb(II) than the coexisting ions in water and an excellent repeatability at eight cycles of adsorption. Moreover, the thermodynamic study shows that UiO-66-ATA(Zr) adsorbing Pb(II) is an endothermic reaction. Thus UiO-66-ATA(Zr) is a prospective sorbent for Pb(II) removal under the initiative of environmental protection and water purification, and this work may also provide an idea for industrial catalysis.

2.
Med Phys ; 2020 Jan 18.
Artigo em Inglês | MEDLINE | ID: mdl-31954078

RESUMO

PURPOSE: Increased utilization of MRI in radiotherapy has caused a growing need for phantoms that provide tissue-like contrast in both CT and MRI images. Such phantoms can be used to compare MRI-based processes with CT-based clinical standards. Here, we develop and demonstrate the clinical utility of a 3D-printed anthropomorphic pelvis phantom containing materials capable of T1 , T2 and electron density matching for a clinically relevant set of soft tissues and bone. METHODS: The phantom design was based on a male pelvic anatomy template with thin boundaries separating tissue types. Slots were included to allow insertion of various dosimeters. The phantom structure was created using a 3D-printer. The tissue compartments were filled with carrageenan-based materials designed to match the T1 and T2 relaxation times and electron densities of the corresponding tissues. CT and MRI images of the phantom were acquired and used to compare phantom T1 and T2 relaxation times and electron densities to literature-reported values for human tissue. To demonstrate clinical utility, the phantom was used for end-to-end testing of an MRI-only treatment simulation and planning workflow. Based on a T2 -weighted MRI image, synthetic CTs (sCTs) were created using a statistical decomposition algorithm (MRIPlanner, Spectronic Research AB, Sweden) and used for dose calculation during treatment planning of VMAT and 7-field IMRT prostate plans. The plans were delivered on a Truebeam STX (Varian Medical Systems, Palo Alto, CA), with film and a 0.3 cc ion chamber used to measure the delivered dose. Doses calculated on the CT and sCTs were compared using common dose volume histogram (DVH) metrics. RESULTS: T1 and T2 relaxation time and electron density measurements for muscle, prostate and bone agreed well with literature-reported in vivo measurements. Film analysis resulted in a 99.7% gamma-pass-rate (3.0%, 3.0mm) for both plans. The ion chamber-measured dose discrepancies at the isocenter were 0.36% and 1.67% for the IMRT and VMAT plans respectively. The differences in PTV D98% and D95% between plans calculated on the CT and 1.5T/3.0T-derived sCT images were under 3%. CONCLUSION: The developed phantom provides tissue-like contrast on MRI and CT and can be used to validate MRI-based processes through comparison with standard CT-based processes.

3.
Sci Total Environ ; 706: 136029, 2020 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-31855629

RESUMO

The gas/particle (G/P) partitioning (KP) behavior is an important factor for the environmental fate of PAHs in atmosphere. Based on large database of log KP, equilibrium-state and steady-state models were applied for the comprehensive study with the G/P partitioning of PAHs, including the Harner-Bidleman (H-B) model, the Dachs-Eisenreich (D-E) model, and the Li-Ma-Yang (L-M-Y) model. For different sites, the trend of regression between log KP and log KOA was same, however, the slopes and intercepts were different. No obvious difference was observed between northern Chinese cities and southern Chinese cities. For congeners and aromatic rings of PAHs, the difference was much more obvious for the regressions, slopes and intercepts. The prediction of the D-E model and the H-B model matched well for the regression of the 4-rings and 5-rings PAHs, with >80% of monitoring data points in the range of ±1 log unit. The L-M-Y model only predicted well with the measurement for 4-rings PAHs with special values of log KOA. For different ranges of log KOA, the difference with the regression between log KP and log KOA was also obvious. Compared with our measurement, if 1 order of magnitude difference with log KP values between prediction and measurement was considered, the H-B model, the D-E model and the L-M-Y model can be only used when the log KOA in the ranges from 7.65 to 13.7, 6.88 to 13.5, and 7.65 to 11.7, respectively. Therefore, further studies with prediction models should be conducted for the G/P partitioning of PAHs. The results of this study provided new insights into the research field of the G/P partitioning of SVOCs.

4.
J Cell Physiol ; 235(1): 563-572, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31318050

RESUMO

Sepsis is a severe clinical disease, which is resulted from the excessive host inflammation response to the infection. Growing evidence indicates that Staphylococcus aureus pneumonia is a significant cause of sepsis, which can lead to intestinal injury, inflammation, and apoptosis. Studies have shown that miR-182-5p can serve as a tumor oncogene or a tumor suppressive microRNA in various cancers, however, its biological role in sepsis is still uninvestigated. Here, we reported that miR-182-5p was obviously increased in S. aureus pneumonia mice models. Loss of miR-182-5p inhibited intestinal damage and intestinal apoptosis as indicated by the terminal deoxynucleotidyl transferase dUTP nick end labeling assay. In addition, we observed the lack of miR-182-5p altered the local inflammatory response to pneumonia in the intestine. Elevated tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) levels were observed in intestinal tissue of pneumonia groups compared with the shams. Furthermore, miR-182-5p knockout (KO) pneumonia group demonstrated decreased levels of intestinal TNF-α and IL-6. Primary murine intestinal epithelial cells were isolated and cultured in our investigation. We exhibited downregulation of miR-182-5p repressed intestinal epithelial cells apoptosis and rescued the cell viability. Meanwhile, miR-182-5p caused elevated cell apoptosis and reduced cell proliferation. Moreover, the surfactant protein D (SP-D) binds with the bacterial pathogens and remove the pathogens and apoptotic bodies, which exhibits important roles in modulating immune responses. It was displayed in our study that SP-D was greatly decreased in pneumonia mice models. SP-D was predicted as a downstream target of miR-182-5p. These data concluded that miR-182-5p promoted intestinal injury in S. aureus pneumonia-induced sepsis via targeting SP-D.

5.
Bioresour Technol ; 296: 122337, 2020 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-31727559

RESUMO

The shortage of food based feedstocks is a challenge in industrial biomanufacturing. In this study, genetically modified Escherichia coli strains were used to produce isopropanol as the mainly product from acetate, a cost-effective nonfood-based substrate. The isopropanol biosynthesis pathway was constructed by combining genes from Clostridium acetobutylicum (thlA, adc), E. coli (atoDA) and Clostridium beijerinckii (adh). E. coli MG1655 harboring the isopropanol biosynthesis pathway successfully produced isopropanol and low amounts of acetone from pure acetate. The enhancement of the acetate assimilation pathway coupled with cofactor engineering strategy further improved the production of isopropanol to 18.5 mM with a yield of 0.26 mol/mol. With simple treatment, two kinds of biologically produced acetate were utilized to generate 16.7 and 24.5 mM isopropanol with yields of 0.25 and 0.56 mol/mol, respectively. Engineered E. coli with an optimized isopropanol biosynthesis pathway can efficiently utilize biologically produced acetate to synthesize isopropanol.


Assuntos
2-Propanol , Clostridium acetobutylicum , Acetatos , Escherichia coli , Fermentação , Engenharia Metabólica
6.
Chronobiol Int ; : 1-14, 2019 Dec 06.
Artigo em Inglês | MEDLINE | ID: mdl-31809585

RESUMO

In aquaculture, it is necessary to determine of the diurnal biological variations in the intestines to determine an appropriate feeding schedule. The present study aimed to examine the transcriptomes of the Pelteobagrus vachellii intestines at four time points (0 h, 6 h, 12 h, and 18 h) within a light/dark cycle. In comparison with the zeitgeber time 0 (ZT0) transcriptomes, we identified 37,842 unigenes with significant differential expression, including 6,638; 9,626; and 7,938 that genes upregulated, and 3,507; 4,703; and 5,412 genes that were down regulated at 4, 12, and 24 h respectively. The differentially expressed unigenes were subjected to enrichment analysis, which indicated the involvement of the major digestive pathways, including digestion of protein, lipid and carbohydrate, catabolic process (protein, carbohydrate and lipid), and circadian rhythm. We selected 73 key differentially expressed genes (DEGs) from among these pathways and identified DEGs that showed increased expression at night, including those encoding trypsin-3, chymotrypsinogen 2, amino acid transporter, maltase-glucoamylase, facilitated glucose transporter, lipase, phospholipase, fatty acid-binding protein, fatty acid synthase, long-chain fatty acid transport protein, and apolipoprotein. Moreover, DEGs involved of circadian rhythm were identified, including brain-muscle-Arnt-like 1 (BMAL1), cryptochrome-1, circadian locomoter output cycles protein kaput (CLOCK) and period circadian protein homolog 1-3. Finally, the expression levels of 12 unigenes were analyzed using quantitative real-time PCR, which were in accordance with RNA-sequencing analysis. In general, the expression of genes related to the digestion of proteins, lipids, and carbohydrates showed upregulated expression at night; however, the peak time of expression of transporters for different nutrition molecules showed more diversification within the light/dark cycle.

7.
Phys Med Biol ; 2019 Dec 27.
Artigo em Inglês | MEDLINE | ID: mdl-31881546

RESUMO

PURPOSE: To objectively compare the suitability of MRI pulse sequences and commercially available fiducial markers (FMs) for MRI-only prostate radiotherapy simulation. Most FMs appear as small signal voids in MRI images making them difficult to differentiate from tissue heterogeneities such as calcifications. In this study we use quantitative metrics to objectively evaluate the visibility of FMs in 27 patients and an anthropomorphic phantom with a variety of standard clinical MRI pulse sequences and commercially available FMs. METHODS: FM visibility was quantified using the local contrast-to-noise-ratio (lCNR), the difference between the 80th and 20th percentile iso-intensity FM volumes (Vfall) and the largest iso-intensity volume that can be distinguished from background: apparent-marker-volume (AMV). A larger lCNR and AMV, and smaller Vfall represents a more easily identifiable FM. The number of non-marker objects visualized by each pulse sequence was calculated using FM-derived template-matching. The FM-based Target-Registration-Error (TRE) between each MRI and the planning-CT image was calculated. Fiducial marker visibility was rated by two medical physicists with over three years of experience examining MRI-only prostate simulation images. The rater's classification accuracy was quantified using the F1 score, which is the harmonic mean of the rater's precision and recall. These quantitative metrics and human observer ratings were used to evaluate FM identifiability in images from nine subtypes of T1-weighted, T2-weighted and Gradient Echo (GRE) pulse sequences in a 27-patient study. A phantom study was conducted to quantify the visibility of 8 commercially available FMs. RESULTS: In the patient study, the largest mean lCNR and AMV and, smallest normalized Vfall were produced by the 3.0T multiple-echo GRE pulse sequence (T1-VIBE, 2° flip angle, 1.23 ms and 2.45 ms echo-times). This pulse sequence produced no false marker detections and TREs less than 2mm in the left-right, anterior-posterior and cranial-caudal directions, respectively. Human observers rated the 1.23 ms echo-time GRE images with the best average marker visibility score of 100% and an F1 score of 1. In the phantom study, the Gold-Anchor GA-200X-20-B (deployed in a folded configuration) produced the largest sequence averaged lCNR and AMV measurements at 16.1 and 16.7 mm3 respectively. CONCLUSION: Using quantitative visibility and distinguishability metrics and human observer ratings, the patient study demonstrated that multiple-echo GRE images produced the best gold FM visibility and distinguishability. The phantom study demonstrated that markers manufactured from platinum or iron-doped gold quantitatively produced superior visibility compared to their pure gold counterparts.

8.
BMC Genomics ; 20(Suppl 13): 928, 2019 Dec 27.
Artigo em Inglês | MEDLINE | ID: mdl-31881833

RESUMO

BACKGROUND: Identification of protein-protein interactions (PPIs) is crucial for understanding biological processes and investigating the cellular functions of genes. Self-interacting proteins (SIPs) are those in which more than two identical proteins can interact with each other and they are the specific type of PPIs. More and more researchers draw attention to the SIPs detection, and several prediction model have been proposed, but there are still some problems. Hence, there is an urgent need to explore a efficient computational model for SIPs prediction. RESULTS: In this study, we developed an effective model to predict SIPs, called RP-FIRF, which merges the Random Projection (RP) classifier and Finite Impulse Response Filter (FIRF) together. More specifically, each protein sequence was firstly transformed into the Position Specific Scoring Matrix (PSSM) by exploiting Position Specific Iterated BLAST (PSI-BLAST). Then, to effectively extract the discriminary SIPs feature to improve the performance of SIPs prediction, a FIRF method was used on PSSM. The R'classifier was proposed to execute the classification and predict novel SIPs. We evaluated the performance of the proposed RP-FIRF model and compared it with the state-of-the-art support vector machine (SVM) on human and yeast datasets, respectively. The proposed model can achieve high average accuracies of 97.89 and 97.35% using five-fold cross-validation. To further evaluate the high performance of the proposed method, we also compared it with other six exiting methods, the experimental results demonstrated that the capacity of our model surpass that of the other previous approaches. CONCLUSION: Experimental results show that self-interacting proteins are accurately well-predicted by the proposed model on human and yeast datasets, respectively. It fully show that the proposed model can predict the SIPs effectively and sufficiently. Thus, RP-FIRF model is an automatic decision support method which should provide useful insights into the recognition of SIPs.

9.
Magn Reson Imaging ; 66: 1-8, 2019 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-31740195

RESUMO

The study evaluates four physically motivated constraints in the estimation of the proton density fat fraction (PDFF). Least squares approaches were developed for constraining the parameters in PDFF quantification based on the physics of magnetic resonance imaging. These were smooth fieldmap, smooth initial phase, nonnegative proton density and moderate R2∗ values. The constraints were evaluated in terms of their influence on the bias and standard deviation of the estimated parameters using numerical simulations and in vivo data acquired at 0.35 T. Results show that unconstrained least squares estimation is noisy and biased and that constraints can be effective at reducing both the standard deviation and bias.

10.
Zhongguo Ying Yong Sheng Li Xue Za Zhi ; 35(4): 381-384, 2019 Jul 28.
Artigo em Chinês | MEDLINE | ID: mdl-31701728

RESUMO

OBJECTIVE: To investigate the expression of 2-type small conductance-Ca2+-activating-K+ (SK2) channel protein in hypertensive rat myocardial cells. METHODS: Twelve healthy adult male SD rats were randomly divided into control group (n=5) and experimental group (n=7). The rats of experimental group were injected intraperitoneally with N'-nitro-L-arginine (L-NNA 15 mg/(kg·d))while the rats of control group were injected intraperitoneally with isometrical normal saline(15 ml/(kg·d )). The body weight, blood pressure and electrocardiogram of the rats were measured every week. After 4 weeks, the rats were sacrificed to obtain hearts, and the expression of SK2 channel protein in myocardium was detected by Western blot. RESULTS: After 4 weeks of administration, compared with the control group, the blood pressure in the experimental group was significantly elevated (P<0.05), QRS duration and R-R interval were prolonged, and the expressions of SK2 channel in the atrial and ventricular tissue of the experimental group were significantly higher than those in the control group (1.12±0.18,1.64±0.26, P < 0.05). CONCLUSION: The expressions of atrial and ventricular SK2 pathway are increased in hypertensive model rats. It may be one of the mechanism leading to arrhythmias in hypertensive model rats and can provide new ideas and strategies for the treatment and prognosis of hypertensive diseases.


Assuntos
Hipertensão/metabolismo , Miocárdio/metabolismo , Proteínas Serina-Treonina Quinases/metabolismo , Animais , Masculino , Distribuição Aleatória , Ratos , Ratos Sprague-Dawley
11.
Artigo em Inglês | MEDLINE | ID: mdl-31681739

RESUMO

Background: Mesothelioma is a rare and aggressive tumor. Bone metastasis often occurs in the later stages of this disease along with poor quality of life. Thus, it is important to explore the tumorigenesis and bone metastasis mechanism of invasive mesothelioma. For this purpose, we established two nomograms based on tumor-infiltrating immune cells and ceRNA networks to describe the molecular immunity and the clinical prediction of mesothelioma patients with bone metastasis. Method: The expression profiles of mRNAs, lncRNAs, and miRNAs of 87 primary mesotheliomas were obtained from the TCGA database; there were four patients with bone metastasis and 83 patients without. We constructed a ceRNAs network based on the differentially expressed RNAs between mesothelioma and bone metastasis. CIBERSORT was used to distinguish 22 immune cell types from the tumor transcriptomes. Kaplan-Meier survival analysis and the Cox proportional hazards model were used to evaluate the prognostic value of each factor. Prognosis-associated immune cells and ceRNAs were applied to establish prediction nomograms. The receiver operating characteristic curves (ROC) and calibration curves were utilized to assess the discrimination and accuracy of the nomogram. Results: Differential analysis revealed that 20 lncRNAs, 15 miRNAs, and 230 mRNAs were significantly different in mesothelioma samples vs. bone metastasis samples. We constructed the ceRNA network to include 10 protein-coding mRNAs, 8 lncRNAs, and 10 miRNAs. Nine of 28 ceRNAs were found to be significant in the Kaplan-Meier analysis. Out of the 22 cell types, the fraction of dendritic cells resting (P = 0.018) was significantly different between the bone metastasis group and the non-bone metastasis group. The ROC and the calibration curves, based on ceRNA networks and tumor-infiltrating immune cells, respectively, suggested acceptable accuracy (AUC of 3-year survival: 0.827, AUC of 5-year survival: 0.840; AUC of 3-year survival: 0.730; AUC of 5-year survival: 0.753). Notably, based on the co-expression patterns between ceRNAs and Immune cells, we found that the hsa-miR-582-5p, CASP9, dendritic cells resting, ANIX2, T cells CD8, and T cells CD4 memory resting might be associated with the mesothelioma bone metastasis. Conclusion: Based on ceRNA networks and patterns of immune infiltration, our study provided a valid bioinformatics basis in order to explore the molecular mechanism and predict the possibility of mesothelioma bone metastasis.

12.
Artigo em Inglês | MEDLINE | ID: mdl-31681747

RESUMO

Background: Kidney renal clear cell carcinoma (KIRC) is the malignancy originated from the renal epithelium, with a high rate of distant metastasis. Aberrant alternative splicing (AS) of pre-mRNA are widely reported to be involved in the tumorigenesis and metastasis of multiple cancers. The aim of this study is to explore the mechanism of alternative splicing events (ASEs) underlying tumorigenesis and metastasis of KIRC. Methods: RNA-seq of 537 KIRC samples downloaded from the TCGA database and ASEs data from the TCGASpliceSeq database were used to identify ASEs in patients with KIRC. The univariate and Lasso regression analysis were used to screen the most significant overall survival-related ASEs (OS-SEs). Based on those, the OS-SEs model was proposed. The interaction network of OS-SEs and splicing factors (SFs) with absolute value of correlation coefficient value >0.750 was constructed by Pearson correlation analysis. The OS-SEs significantly related to distant metastasis and clinical stage were identified by non-parametric test, and those were also integrated into co-expression analysis with prognosis-related Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways identified by Gene Set Variation Analysis (GSVA). ASEs with significance were selected for multiple online database validation. Results: A total of prognostic 6,081 overall survival-related ASEs (OS-SEs) were identified by univariate Cox regression analysis and a prediction model was constructed based on 5 OS-SEs screened by Lasso regression with the Area Under Curve of 0.788. Its risk score was also illustrated to be an independent predictor, which the good reliability of the model. Among 390 identified candidate SFs, DExD-Box Helicase 39B (DDX39B) was significantly correlated with OS and metastasis. After external database validation, Retained Intron of Ras Homolog Family Member T2 (RHOT2) and T-Cell Immune Regulator 1 (TCIRG1) were identified. In the co-expression analysis, overlapped co-expression signal pathways for RHOT2 and TCIRG1 were sphingolipid metabolism and N-glycan biosynthesis. Conclusions: Based on the results of comprehensive bioinformatic analysis, we proposed that aberrant DDX39B regulated RHOT2-32938-RI and TCIRG1-17288-RI might be associated with the tumorigenesis, metastasis, and poor prognosis of KIRC via sphingolipid metabolism or N-glycan biosynthesis pathway.

13.
Clin Exp Med ; 2019 Nov 16.
Artigo em Inglês | MEDLINE | ID: mdl-31734766

RESUMO

Coronary artery abnormalities (CAAs) are prominent during the acute Kawasaki disease (KD) episode and represent the major contributors to the long-term prognosis. Several meta-analysis and published scoring systems have identified hepatic dysfunction as an independent predictor of CAA risks. The medical records of 210 KD children were reviewed. Blood samples were collected from all subjects at 24 h pre-therapy and 48 h post-therapy, respectively. Liver function test (LFT) and inflammatory mediators were detected. Multivariate logistic regression analysis was conducted to identify the reliable biomarkers predicting whether CAAs existed or not in KD patients. 90.95% of KD patients had at least 1 abnormal LFT. Hypoalbuminemia was the most prevalent type of hepatic dysfunction, followed by elevated aspartate aminotransferase, low TP, low A/G and hyperbilirubinemia, respectively. The elevated inflammatory mediators (procalcitonin and C-reactive protein) and moderate dose of aspirin played a synthetic role in hepatic dysfunction secondary to KD. However, LFT presented no significant differences between infectious and noninfectious conditions. By a multivariate analysis, a lower albumin/globulin ratio (A/G, OR 13.50, 95% CI 3.944-46.23) served as an independent predictor of CAAs and had a sensitivity of 56.25%, and a specificity of 61.11% at a cutoff value of < 1.48. In conclusion, hepatic dysfunction is a common complication during the acute KD episode, characterized by elevated serum liver enzymes, hypoalbuminemia and hyperbilirubinemia. Systemic inflammation and aspirin, rather than infectious agents, are both the major contributors of hepatic dysfunction secondary to KD. A lower A/G serves as an independent predictor of CAAs.

14.
Artigo em Inglês | MEDLINE | ID: mdl-31736338

RESUMO

Hepatocellular carcinoma (HCC) is the sixth common malignant tumor worldwide but current efficient and convenient screening methods remain lacking. This study aimed to discover a diagnostic or a screening biomarker from the urine of HBV-related HCC patients. We used iTRAQ coupled with mass spectrometry to identify candidate urinary proteins in a discovery cohort (n=40). The selected proteins were confirmed using ELISA in a validation cohort (n=140). Diagnostic performance of the selected proteins was assessed using receiver operating characteristic (ROC) and qualitative diagnostic analysis. A total of 96 differentially expressed proteins were identified. Urinary alpha-fetoprotein (u-AFP) and orosomucoid 1 (u-ORM1) were selected as target proteins by bioinformatics analysis and were significantly higher in HCC than in non-HCC patients as validated by western blot and ELISA. U-AFP had a strong correlation with serum AFP-L3 (Pearson r =0.944, p < 0.0001), indicating that u-AFP may be derived from circulating blood. The AUC of u-AFP was 0.795 with a sensitivity of 62.5% and a specificity of 95.4%, which showed no significantly difference with serum AFP (se-AFP). The AUC was 0.864 as u-AFP and u-ORM1 were combined, and performed much better than u-AFP or u-ORM1 alone. Qualitative diagnostic analysis showed that the positive predictive value of u-AFP was 90.1% and the diagnostic sensitivity of parallel combination of u-AFP and u-ORM1 was 85.1%. Taken together, AFP and ORM1 in the urine may be used as a diagnostic or screening biomarker of HCC and studies on large samples are needed to validate the result.

15.
Cardiovasc Diagn Ther ; 9(Suppl 2): S310-S325, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31737539

RESUMO

Cardiac MRI (CMR) allows non-invasive, non-ionizing assessment of cardiac function and anatomy in patients with congenital heart disease (CHD). The utility of CMR as a non-invasive imaging tool for evaluation of CHD have been growing exponentially over the past decade. The algorithms based on artificial intelligence (AI), and in particular, deep learning, have rapidly become a methodology of choice for analyzing CMR. A wide range of applications for AI have been developed to tackle challenges in various aspects of CMR, and significant advances have also been made from image acquisition to image analysis and diagnosis. We include an overview of AI definitions, different architectures, and details on well-known methods. This paper reviews the major deep learning concepts used for analyses of patients with CHD. In the end, we have summarized a list of open challenges and concerns to be considered for future studies.

16.
Aging (Albany NY) ; 11(22): 10116-10143, 2019 Nov 18.
Artigo em Inglês | MEDLINE | ID: mdl-31739284

RESUMO

Soft tissue sarcoma (STS) is one of the most challenging tumors for medical oncologists, with a high rate of recurrence after initial resection. In this study, a recurrent STS-specific competitive endogenous RNA (ceRNA) network including seven recurrence and overall survival (OS)-associated genes (LPP-AS2, MUC1, GAB2, hsa-let-7i-5p, hsa-let-7f-5p, hsa-miR-101-3p and hsa-miR-1226-3p) was established based on the gene expression profiling of 259 primary sarcomas and 3 local recurrence samples from the TCGA database. The algorithm "cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT)" was applied to estimate the fraction of immune cells in sarcomas. Based on 5 recurrence and OS-associated immune cells (NK cells activated, dendritic cells resting, mast cells resting, mast cells activated and macrophages M1), we constructed a recurrent STS-specific immune cells network. Both nomograms were identified to have good reliabilities (Area Under Curve (AUC) of 5-year survival is 0.724 and 0.773, respectively). Then the co-expression analysis was performed to identify the potential regulation network among recurrent STS-specific immune cells and ceRNAs. Hsa-miR-1226-3p and MUC1 were significantly correlated and dendritic cells resting was related to hsa-miR-1226-3p. Additionally, the expression of MUC1 and dendritic cell marker CD11c were also verified by immunohistochemistry (IHC) assay and multidimensional databases. In conclusion, this study illustrated the potential mechanism of hsa-miR-1226-3p regulating MUC1 and dendritic cells resting might play an important role in STS recurrence. These findings might provide potential prognostic biomarkers and therapeutic targets for recurrent STS.

17.
Int J Biol Sci ; 15(12): 2733-2749, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31754343

RESUMO

Breast cancer is one of the most common malignant tumors worldwide. Metastasis remains the leading cause of death in breast cancer patients. Research on the mechanism of breast cancer metastasis has become a core issue in breast cancer research. Our previous series of studies have shown that VASP, as a key oncogene, plays an important role in the development of various tumors such as breast cancer. In this study, we find that miR-638 can target to inhibit VASP expression, and Lin28 acts as an RNA-binding protein to regulate the processing of miR-638, which inhibits its maturation and promotes the expression of VASP. In addition, we also find that CREB1 acts as a transcription factor that binds to the promoter of Lin28 gene and activates the Lin28/miR-638/VASP pathway. Furthermore, CREB1 can also directly bind to the promoter of VASP, and activate VASP expression, forming a CREB/Lin28/miR-638/VASP interactive network, which plays an important role in promoting cell proliferation and migration in breast cancer. Our study explained the mechanism of CREB1/Lin28/miR-638/VASP network promoting the development of breast cancer, which further elucidated the mechanism of VASP as a key oncogene, and also provided a theoretical basis for expanding new approaches to tumor biotherapy.

18.
Artigo em Inglês | MEDLINE | ID: mdl-31698765

RESUMO

The concentrations and ecological risk of six widespread heavy metals (Cu, Cr, Ni, Zn, Cd and Pb) were investigated and evaluated in sediments from both urban and rural rivers in a northeast city of China. The decreasing trend of the average concentration of heavy metals was Zn > Cr > Cu > Pb > Ni > Cd in Majiagou River (urban) and was Zn > Cr > Pb > Cu > Ni > Cd in Yunliang River (rural). The results showed that the concentrations of Cd and Zn were significantly elevated compared to the environmental background value (p < 0.05). Half of all sampling locations were deemed 'contaminated' as defined by the improved Nemerow pollution index (PN' > 1.0). Applying the potential ecological risk index (RI) indicated a 'high ecological risk' for both rivers, with Cd accounting for more than 80% in both cases. Source apportionment indicated a significant correlation between Cd and Zn in sediments (R = 0.997, p < 0.01) in Yunliang River, suggesting that agricultural activities could be the major sources. Conversely, industrial production, coal burning, natural sources and traffic emissions are likely to be the main pollution sources for heavy metals in Majiagou River. This study has improved our understanding of how human activities, industrial production, and agricultural production influence heavy metal pollution in urban and rural rivers, and it provides a further weight of evidence for the linkages between different pollutants and resulting levels of heavy metals in riverine sediments.

19.
BMC Infect Dis ; 19(1): 924, 2019 Oct 30.
Artigo em Inglês | MEDLINE | ID: mdl-31666025

RESUMO

BACKGROUNDS: Pulmonary tuberculosis (PTB) is a major health and economic burden. Accurate PTB detection is an important step to eliminating TB globally. Interferon gamma-induced protein 10 (IP-10) has been reported as a potential diagnostic marker for PTB since 2007. In this study, a meta-analysis approach was used to assess diagnostic value of IP-10 for PTB. METHODS: Web of Science, PubMed, the Cochrane Library, and Embase databases were searched for studies published in English up to February 2019. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), the area under the curve (AUC) and hierarchical summary receiver operating characteristic (HSROC) curve were estimated by the HSROC model and random effect model. RESULTS: Eighteen studies including 2836 total participants met our inclusion criteria. The pooled sensitivity, specificity, PLR, and NLR of IP-10 for PTB detection were 86, 88%, 7.00, and 0.16, respectively. The pooled DOR was 43.01, indicating a very powerful discriminatory ability of IP-10. The AUC was 0.93 (95% CI: 0.91-0.95), showed the accuracy of IP-10 was good. Meta-regression showed that there was no heterogeneity with respect to TB burden, study design type, age, IP-10 assay method, IP-10 condition and HIV-infection status. CONCLUSIONS: Our results showed that IP-10 is a promising marker for differentiating PTB from non-TB.

20.
Quant Imaging Med Surg ; 9(9): 1516-1527, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31667138

RESUMO

Background: To review and evaluate approaches to convolutional neural network (CNN) reconstruction for accelerated cardiac MR imaging in the real clinical context. Methods: Two CNN architectures, Unet and residual network (Resnet) were evaluated using quantitative and qualitative assessment by radiologist. Four different loss functions were also considered: pixel-wise (L1 and L2), patch-wise structural dissimilarity (Dssim) and feature-wise (perceptual loss). The networks were evaluated using retrospectively and prospectively under-sampled cardiac MR data. Results: Based on our assessments, we find that Resnet and Unet achieve similar image quality but that former requires only 100,000 parameters compared to 1.3 million parameters for the latter. The perceptual loss function performed significantly better than L1, L2 or Dssim loss functions as determined by the radiologist scores. Conclusions: CNN image reconstruction using Resnet yields comparable image quality to Unet with 10X the number of parameters. This has implications for training with significantly lower data requirements. Network training using the perceptual loss function was found to better agree with radiologist scoring compared to L1, L2 or Dssim loss functions.

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