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1.
Plant Physiol ; 2020 May 15.
Artigo em Inglês | MEDLINE | ID: mdl-32414899

RESUMO

Tomato (Solanum lycopersicum) fruit ripening is accompanied by the degradation of chlorophylls and the accumulation of carotenoids and flavonoids. Tomato SlMYB72 belongs to the R2R3 MYB subfamily, is located in the nucleus, and possesses transcriptional activator activity. Downregulation of the SlMYB72 gene produced uneven-colored fruits, that is, dark green spots appeared on immature and mature green fruits, whereas yellow spots appeared on red fruits. Downregulation of SlMYB72 increased chlorophyll accumulation, chloroplast biogenesis and development, and photosynthesis rate in fruits. This downregulation decreased lycopene content, promoted ß-carotene production and chromoplast development, and increased flavonoid accumulation in fruits. RNA-seq analysis revealed that downregulation of SlMYB72 altered the expression levels of genes involved in the biosynthesis of chlorophylls, carotenoids, and flavonoids. SlMYB72 protein interacted with auxin response factor SlARF4. SlMYB72 directly targeted protochlorophyllide reductase (POR), Mg-chelatase H subunit (CHLH), and knotted 1-like homeobox 2 (TKN2) genes, and regulated chlorophyll biosynthesis and chloroplast development. SlMYB72 directly bound to phytoene synthase (PSY), zeta-carotene isomerase (ZISO), and lycopene beta-cyclase (LCYB) genes and regulated carotenoid biosynthesis. SlMYB72 directly targeted 4-coumarate-CoA ligase (4CL) and chalcone synthase (CHS) genes and regulated the biosynthesis of flavonoids and phenolic acid. The uneven color phenotype in RNAi-SlMYB72 fruits was due to uneven silencing of SlMYB72 and uneven expression of chlorophyll, carotenoid, and flavonoid biosynthesis genes. In summary, this study identified important roles for SlMYB72 in the regulation of chlorophyll, carotenoid, and flavonoid metabolism and provided a potential target to improve fruit nutrition in horticultural crops.

2.
Front Immunol ; 11: 37, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32153557

RESUMO

Background: Growing evidence from studies elsewhere have illustrated that microRNAs (miRNAs) play important roles in polymyositis and dermatomyositis (PM/DM). However, little has been reported on their relationship with regenerating islet-derived protein 3-alpha (REG3A) as well as their associative roles in macrophage migration. Therefore, this study sought to establish the association between miR-146a and REG3A as well as investigate their functional roles in macrophage migration and PM/DM pathogenesis. Methods: Peripheral blood mononuclear cells (PBMCs) were isolated from PM/DM patients and healthy controls through density centrifugation. Macrophages were obtained from monocytes purified from PBMCs via differentiation before their transfection with miRNA or plasmids to investigate cell migration with transwell assay. An experimental autoimmune myositis murine model was used to investigate PM/DM. Real-time PCR and Western blot analysis were conducted to determine the expression levels of miR-146a, interferon gamma (IFN-γ), interleukin (IL)-17A, and REG3A. Results: The messenger RNA (mRNA) expression level of miR-146a markedly decreased, while the mRNA level of REG3A, IFN-γ, and IL-17A expression increased substantially in PBMCs from PM/DM patients compared with the healthy controls. The levels of IFN-γ and IL-17A in serum from PM/DM patients was much higher than the healthy controls. Immunohistochemistry analysis showed that REG3A expression increased in muscle tissues from patients. Consistent with clinical data, the mRNA expression level of miR-146a also decreased, whereas the mRNA and protein level of REG3A, IFN-γ, and IL-17A significantly increased in the muscle tissues of experimental autoimmune myositis mice. Moreover, miR-146a inhibited monocyte-derived macrophage migration, and REG3A promoted macrophage migration. In addition, IL-17A induced REG3A expression, while miR146a inhibited expression of REG3A in monocyte-derived macrophages from the PBMCs of the healthy donors. Notably, inhibition of macrophage migration by miR-146a was via the reduction in REG3A expression. Conclusions: Reduced miR-146a expression in PM/DM leads to increased REG3A expression that increases inflammatory macrophage migration, which may be a possible underlying mechanism of DM/PM pathogenesis.

3.
Artigo em Inglês | MEDLINE | ID: mdl-32091996

RESUMO

Sub-cortical brain structure segmentation is of great importance for diagnosing neuropsychiatric disorders. However, developing an automatic approach to segmenting sub-cortical brain structures remains very challenging due to the ambiguous boundaries, complex anatomical structures, and large variance of shapes. This paper presents a novel deep network architecture, namely ψ-Net, for sub-cortical brain structure segmentation, aiming at selectively aggregating features and boosting the information propagation in a deep convolutional neural network (CNN). To achieve this, we first formulate a densely convolutional LSTM module (DC-LSTM) to selectively aggregate the convolutional features with the same spatial resolution at the same stage of a CNN. This helps to promote the discriminativeness of features at each CNN stage. Second, we stack multiple DCLSTMs from the deepest stage to the shallowest stage to progressively enrich low-level feature maps with high-level context. We employ two benchmark datasets on sub-cortical brain structure segmentation, and perform various experiments to evaluate the proposed ψ-Net. The experimental results show that our network performs favorably against the state-of-the-art methods on both benchmark datasets.

4.
Artigo em Inglês | MEDLINE | ID: mdl-31714219

RESUMO

Diabetic retinopathy (DR) and diabetic macular edema (DME) are the leading causes of permanent blindness in the working-age population. Automatic grading of DR and DME helps ophthalmologists design tailored treatments to patients, thus is of vital importance in the clinical practice. However, prior works either grade DR or DME, and ignore the correlation between DR and its complication, i.e., DME. Moreover, the location information, e.g., macula and soft hard exhaust annotations, are widely used as a prior for grading. Such annotations are costly to obtain, hence it is desirable to develop automatic grading methods with only image-level supervision. In this paper, we present a novel cross-disease attention network (CANet) to jointly grade DR and DME by exploring the internal relationship between the diseases with only image-level supervision. Our key contributions include the disease-specific attention module to selectively learn useful features for individual diseases, and the disease-dependent attention module to further capture the internal relationship between the two diseases. We integrate these two attention modules in a deep network to produce disease-specific and diseasedependent features, and to maximize the overall performance jointly for grading DR and DME. We evaluate our network on two public benchmark datasets, i.e., ISBI 2018 IDRiD challenge dataset and Messidor dataset. Our method achieves the best result on the ISBI 2018 IDRiD challenge dataset and outperforms other methods on the Messidor dataset. Our code is publicly available at https://github.com/xmengli999/CANet.

5.
Sensors (Basel) ; 19(22)2019 Nov 07.
Artigo em Inglês | MEDLINE | ID: mdl-31703264

RESUMO

Three dimensional (3D) imaging technology has been widely used for many applications, such as human-computer interactions, making industrial measurements, and dealing with cultural relics. However, existing active methods often require both large apertures of projector and camera to maximize light throughput, resulting in a shallow working volume in which projector and camera are simultaneously in focus. In this paper, we propose a novel method to extend the working range of the structured light 3D imaging system based on the focal stack. Specifically in the case of large depth variation scenes, we first adopted the gray code method for local, 3D shape measurement with multiple focal distance settings. Then we extracted the texture map of each focus position into a focal stack to generate a global coarse depth map. Under the guidance of the global coarse depth map, the high-quality 3D shape measurement of the overall scene was obtained by local, 3D shape-measurement fusion. To validate the method, we developed a prototype system that can perform high-quality measurements in the depth range of 400 mm with a measurement error of 0.08%.

6.
BMC Plant Biol ; 19(1): 481, 2019 Nov 08.
Artigo em Inglês | MEDLINE | ID: mdl-31703625

RESUMO

BACKGROUND: Linoleic acid is an important polyunsaturated fatty acid, required for all eukaryotes. Microsomal delta-12 (Δ12) oleate desaturase (FAD2) is a key enzyme for linoleic acid biosynthesis. Desert shrub Artemisia sphaerocephala is rich in linoleic acid, it has a large FAD2 gene family with twenty-six members. The aim of this work is to unveil the difference and potentially functionality of AsFAD2 family members. RESULTS: Full-length cDNAs of twenty-one AsFAD2 genes were obtained from A. sphaerocephala. The putative polypeptides encoded by AsFAD2 family genes showed a high level of sequence similarity and were relatively conserved during evolution. The motif composition was also relatively conservative. Quantitative real-time PCR analysis revealed that the AsFAD2-1 gene was strongly expressed in developing seeds, which may be closely associated with the high accumulating ability of linoleic acid in A. sphaerocephala seeds. Although different AsFAD2 family members showed diverse response to salt stress, the overall mRNA levels of the AsFAD2 family genes was stable. Transient expression of AsFAD2 genes in the Nicotiana benthamiana leaves revealed that the encoded proteins were all located in the endoplasmic reticulum. Heterologous expression in Saccharomyces cerevisiae suggested that only three AsFAD2 enzymes, AsFAD2-1, - 10, and - 23, were Δ12 oleate desaturases, which could convert oleic acid to linoleic acid, whereas AsFAD2-1 and AsFAD2-10 could also produce palmitolinoleic acid. CONCLUSIONS: This research reported the cloning, expression studies, subcellular localization and functional identification of the large AsFAD2 gene family. These results should be helpful in understanding fatty acid biosynthesis in A. sphaerocephala, and has the potential to be applied in the study of plant fatty acids traits.


Assuntos
Artemisia/genética , Ácidos Graxos Dessaturases/genética , Regulação da Expressão Gênica de Plantas , Proteínas de Plantas/genética , Estresse Salino/genética , Artemisia/enzimologia , Artemisia/metabolismo , Ácidos Graxos Dessaturases/metabolismo , Perfilação da Expressão Gênica , Genes de Plantas , Família Multigênica , Filogenia , Proteínas de Plantas/metabolismo
7.
Opt Express ; 27(21): 29697-29709, 2019 Oct 14.
Artigo em Inglês | MEDLINE | ID: mdl-31684227

RESUMO

The state-of-the-art 3D shape measurement system has rather shallow working volume due to the limited depth-of-field (DOF) of conventional lens. In this paper, we propose to use the electrically tunable lens to substantially enlarge the DOF. Specifically, we capture always in-focus phase-shifted fringe patterns by precisely synchronizing the tunable lens attached to the camera with the image acquisition and the pattern projection; we develop a phase unwrapping framework that fully utilizes the geometric constraint from the camera focal length setting; and we pre-calibrate the system under different focal distance to reconstruct 3D shape from unwrapped phase map. To validate the proposed idea, we developed a prototype system that can perform high-quality measurement for the depth range of approximately 1,000 mm (400 mm - 1400 mm) with the measurement error of 0.05%. Furthermore, we demonstrated that such a technique can be used for real-time 3D shape measurement by experimentally measuring moving objects.

8.
Bioorg Chem ; 93: 103309, 2019 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-31585266

RESUMO

The antibacterial agents and therapies today are facing serious problems such as drug resistance. Introducing dual inhibiting effect is a valid approach to solve this trouble and bring advantages including wide adaptability, favorable safety and superiority of combination. We started from potential DNA Gyrase inhibitory backbone isatin to develop oxoindolin derivatives as atypical dual Gyrase (major) and FabH (assistant) inhibitors via a two-round screening. Aiming at blocking both duplication (Gyrase) and survival (FabH), most of synthesized compounds indicated potency against Gyrase and some of them inferred favorable inhibitory effect on FabH. The top hit I18 suggested comparable Gyrase inhibitory activity (IC50 = 0.025 µM) and antibacterial effect with the positive control Novobiocin (IC50 = 0.040 µM). FabH inhibitory activity (IC50 = 5.20 µM) was also successfully introduced. Docking simulation hinted possible important interacted residues and binding patterns for both target proteins. Adequate Structure-Activity Relation discussions provide the future orientations of modification. With high potency, low initial toxicity and dual inhibiting strategy, advanced compounds with therapeutic methods will be developed for clinical application.

9.
Hortic Res ; 6: 85, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31645946

RESUMO

Auxin response factors (ARFs) are involved in auxin-mediated transcriptional regulation in plants. In this study, we performed functional characterization of SlARF6A in tomato. SlARF6A is located in the nucleus and exhibits transcriptional activator activity. Overexpression of SlARF6A increased chlorophyll contents in the fruits and leaves of tomato plants, whereas downregulation of SlARF6A decreased chlorophyll contents compared with those of wild-type (WT) plants. Analysis of chloroplasts using transmission electron microscopy indicated increased sizes of chloroplasts in SlARF6A-overexpressing plants and decreased numbers of chloroplasts in SlARF6A-downregulated plants. Overexpression of SlARF6A increased the photosynthesis rate and accumulation of starch and soluble sugars, whereas knockdown of SlARF6A resulted in opposite phenotypes in tomato leaves and fruits. RNA-sequence analysis showed that regulation of SlARF6A expression altered the expression of genes involved in chlorophyll metabolism, photosynthesis and sugar metabolism. SlARF6A directly bound to the promoters of SlGLK1, CAB, and RbcS genes and positively regulated the expression of these genes. Overexpression of SlARF6A also inhibited fruit ripening and ethylene production, whereas downregulation of SlARF6A increased fruit ripening and ethylene production. SlARF6A directly bound to the SAMS1 promoter and negatively regulated SAMS1 expression. Taken together, these results expand our understanding of ARFs with regard to photosynthesis, sugar accumulation and fruit development and provide a potential target for genetic engineering to improve fruit nutrition in horticulture crops.

10.
Clin Sci (Lond) ; 133(14): 1609-1627, 2019 Jul 31.
Artigo em Inglês | MEDLINE | ID: mdl-31315969

RESUMO

Acute kidney injury (AKI) is a destructive clinical condition induced by multiple insults including ischemic reperfusion, nephrotoxic drugs and sepsis. It is characterized by a sudden decline in renal function, in addition to excessive inflammation, oxidative stress and programmed cell death of renal tubular epithelial cells. RIPK1-mediated necroptosis plays an important role in AKI. In the present study, we evaluated the treatment effects of Compound-71 (Cpd-71), a novel RIPK1 inhibitor, by comparing with Necrostatin-1 (Nec-1), a classic RIPK1 inhibitor, which has several drawbacks like the narrow structure-activity relationship (SAR) profile, moderate potency and non-ideal pharmacokinetic properties, in vivo and in vitro Our results showed that pretreatment of Cpd-71 attenuated cisplatin-induced renal injury, restored renal function and suppressed renal inflammation, oxidative stress and cell necroptosis. In addition, Cpd-71 inhibited renal damage while reducing the up-regulated serum creatinine (Cr) and blood urea nitrogen (BUN) levels in established AKI mice model. Consistently, we confirmed that Cpd-71 exhibited more effectively suppressive effect on cisplatin-induced renal tubular cell necroptosis than Nec-1, by physically binding to the allosteric type III ligand binding site of RIPK1, thereby reduced RIPK1 kinase activity, RIPK1/RIPK3 complex formation and phosphor-MLKL membrane translocation by molecular docking, Western blot, co-immunoprecipitation and cellular thermal shift assay (CETSA). Taken together, we currently showed that targeting RIPK1 with Cpd-71 may serve as a promising clinical candidate for AKI treatment.

11.
Int Heart J ; 60(4): 924-937, 2019 Jul 27.
Artigo em Inglês | MEDLINE | ID: mdl-31204374

RESUMO

Our previous studies have revealed that long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and genes were abnormally expressed in the pulmonary artery tissues of the chronic thromboembolic pulmonary hypertension (CTEPH) patients. We aim to establish the CTEPH-related miRNA-gene-lncRNA network for finding the core genes and associated miRNA and lncRNA in CTEPH patients.Firstly, the target genes of differential miRNAs were predicted by searching TargetScan databases, and the predicted target genes were intersected with the mRNAs from the gene chip. Secondly, the intersective genes were analyzed by the Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway software for obtaining differential intersective genes and then establish the miRNA-gene networks. Thirdly, the possible genes regulated by the differential lncRNAs from the gene chip were intersected with the above-screened mRNA to build the lncRNA-mRNA networks. Subsequently, the miRNA-gene-lncRNA networks were constructed according to the two networks above (miRNA-gene networks and lncRNA-mRNA networks). Finally, the core genes of the networks in the experimental group were screened according to Diffk > 0.6 and used to construct the miRNA-core gene-lncRNA networks of CTEPH.The pathway network, miRNA-mRNA network, lncRNA-mRNA networks, and miRNA-gene-lncRNA networks were successfully constructed. The core genes of the miRNA-gene-lncRNA networks (Diffk > 0.6) were the human Beta-type platelet-derived growth factor receptor (PDGFRB) and hypoxia-inducible factor-1a (HIF-1A), the miRNAs-PDGFRB-lncRNAs and miRNAs-HIF1A-lncRNAs networks were constructed. Finally, miRNA-149-5p-PDGFRB-TCONS_l2_00020587-XLOC_l2_010723 and miRNA-338-5p/miRNA-199b-5p-HIF1A- TCONS_l2_00020587-XLOC_l2_010723 were found in the analysis of the network.miRNA-149-5p-PDGFRB-lncRNA CTEPH-associated 1 (CTEPHA1) (TCONS_l2_00020587-XLOC_l2_010723) and miRNA-338-5p/miRNA-199b-5p-HIF1A-lncRNA CTEPHA1 are related to the development of CTEPH.


Assuntos
Hipertensão Pulmonar/genética , Subunidade alfa do Fator 1 Induzível por Hipóxia/genética , MicroRNAs/genética , Proteínas Proto-Oncogênicas c-sis/genética , Embolia Pulmonar/complicações , Doença Crônica , Perfilação da Expressão Gênica , Redes Reguladoras de Genes , Humanos , Hipertensão Pulmonar/etiologia , Hipertensão Pulmonar/metabolismo , Subunidade alfa do Fator 1 Induzível por Hipóxia/metabolismo , MicroRNAs/metabolismo , Proteínas Proto-Oncogênicas c-sis/metabolismo , Embolia Pulmonar/genética , Embolia Pulmonar/metabolismo
12.
Artigo em Inglês | MEDLINE | ID: mdl-31150337

RESUMO

Shadow detection and shadow removal are fundamental and challenging tasks, requiring an understanding of the global image semantics. This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner. To achieve this, we first formulate the direction-aware attention mechanism in a spatial recurrent neural network (RNN) by introducing attention weights when aggregating spatial context features in the RNN. By learning these weights through training, we can recover direction-aware spatial context (DSC) for detecting and removing shadows. This design is developed into the DSC module and embedded in a convolutional neural network to learn the DSC features at different levels. Moreover, we design a weighted cross entropy loss to make effective the training for shadow detection and further adopt the network for shadow removal by using a Euclidean loss function and formulating a color transfer function to address the color and luminosity inconsistencies in the training pairs. We employed two shadow detection benchmark datasets and two shadow removal benchmark datasets, and performed various experiments to evaluate our method. Experimental results show that our method performs favorably against the state-of-the-art methods for both shadow detection and shadow removal.

13.
Sheng Li Xue Bao ; 71(3): 415-423, 2019 Jun 25.
Artigo em Chinês | MEDLINE | ID: mdl-31218332

RESUMO

The aim of this study was to investigate the effect of Wnt5a on the vincristine (VCR) resistance in human ovarian carcinoma SKOV3 cells and its possible mechanism. The drug-resistant SKOV3/VCR cells were established by stepwise exposure to VCR, and then the SKOV3/VCR cells were stably transfected with specific shRNA interference plasmid vector targeting for Wnt5a. The mRNA expression level of Wnt5a was measured by RT-PCR. CCK-8 assay was used to detect the cell viability of SKOV3/VCR cells. The apoptosis was analyzed by flow cytometry. The protein expression levels of Wnt5a, MDR1, Survivin, ß-catenin, Akt, p-Akt(S473), GSK3ß and p-GSK3ß(Ser9) were detected by Western blot. The result showed that SKOV3/VCR cells had significantly higher protein expression levels of Wnt5a, MDR1, Survivin and ß-catenin, phosphorylation levels of Akt and GSK3ß, and mRNA expression level of Wnt5a, compared with SKOV3 cells (P < 0.05). WNT5A gene silencing significantly increased the sensitivity of SKOV3/VCR cells to VCR, the IC50 of VCR being decreased from 38.412 to 9.283 mg/L (P < 0.05), synergistically enhanced VCR-induced apoptosis of SKOV3/VCR cells (P < 0.05), down-regulated the protein expression levels of MDR1, ß-catenin and Survivin (P < 0.05), and inhibited phosphorylation of Akt and GSK3ß (P < 0.05). Meanwhile, LY294002 (PI3K inhibitor) decreased the protein expression levels of MDR1, ß-catenin and Survivin, as well as the phosphorylation levels of Akt and GSK3ß in SKOV3/VCR cells (P < 0.05). These results suggest that WNT5A gene silencing reverses VCR resistance in SKOV3/VCR cells possibly through blocking the PI3K/Akt/GSK3ß/ß-catenin signaling pathway, and thus down-regulating the protein expression levels of MDR1 and Survivin.


Assuntos
Resistencia a Medicamentos Antineoplásicos , Neoplasias Ovarianas/patologia , Transdução de Sinais , Vincristina/farmacologia , Proteína Wnt-5a/metabolismo , Subfamília B de Transportador de Cassetes de Ligação de ATP/metabolismo , Linhagem Celular Tumoral , Feminino , Inativação Gênica , Glicogênio Sintase Quinase 3 beta/metabolismo , Humanos , Fosfatidilinositol 3-Quinases/metabolismo , Proteínas Proto-Oncogênicas c-akt/metabolismo , Survivina/metabolismo
14.
IEEE Trans Med Imaging ; 38(12): 2768-2778, 2019 12.
Artigo em Inglês | MEDLINE | ID: mdl-31021793

RESUMO

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to the missing/ambiguous boundary and inhomogeneous intensity distribution of the prostate in TRUS, as well as the large variability in prostate shapes. This paper develops a novel 3D deep neural network equipped with attention modules for better prostate segmentation in TRUS by fully exploiting the complementary information encoded in different layers of the convolutional neural network (CNN). Our attention module utilizes the attention mechanism to selectively leverage the multi-level features integrated from different layers to refine the features at each individual layer, suppressing the non-prostate noise at shallow layers of the CNN and increasing more prostate details into features at deep layers. Experimental results on challenging 3D TRUS volumes show that our method attains satisfactory segmentation performance. The proposed attention mechanism is a general strategy to aggregate multi-level deep features and has the potential to be used for other medical image segmentation tasks. The code is publicly available at https://github.com/wulalago/DAF3D.

15.
Medicine (Baltimore) ; 98(13): e15070, 2019 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-30921240

RESUMO

Echocardiography and cardiac biomarkers, such as cardiac troponin I (cTnI) and N-terminal pro-B-type natriuretic peptide (NT-pro BNP) are useful tools to evaluate cardiac dysfunction. Left ventricular systolic dysfunction (LVSD) is common in pediatric severe sepsis. The aim of this study is to evaluate the prognostic value of LVSD, cTnI, and NT-pro BNP for pediatric severe sepsis.A prospective, single center, observational study was conducted. Severe sepsis children were enrolled in the study from December 2015 to December 2016 in pediatric intensive care unit of Shanghai Children's Medical Center. Recorded general information, transthoracic echocardiography were performed at day 1, 2, 3, 7, and 10, using Simpson to measure left ventricular end-diastolic dimension and left ventricular end-systolic dimension, obtained echocardiography parameters: left ventricular ejection fraction (LVEF), left ventricular fractional shortening, left ventricular end-diastolic volume, left ventricular end- systolic volume, stroke volume, cardiac output. At the same time collecting the blood sample to measure cTnI, NT-pro BNP. The definition of LVSD was LVEF <50%. According to the prognosis of 28 days, children with severe sepsis were divided into survived group and nonsurvived group.Total of 50 pediatric patients who were diagnosed with severe sepsis (including septic shock) were enrolled, the incidence of LVSD was 52%. The 28-day mortality rate of severe sepsis was 34%. Multivariate logistic regression analyses for predictors of death in pediatric severe sepsis revealed that the 28-day mortality of severe sepsis was associated with mechanical ventilation (MV) within the first 6 hours of admission (odds ratio [OR], 0.01; 95% confidence interval [CI], 0.00-0.07) and total MV time (OR, 0.81; 95% CI, 0.68-0.97). The receiver operating characteristic curves LVEF (area under curve = 0.526), cTnI (area under curve = 0.480), and NT-pro BNP (area under curve = 0.624) were used to predict the 28-day mortality in pediatric severe sepsis. Follow-up echocardiography parameters for survived group and nonsurvived group showed no significant changes in LVEF, LVFS, stroke volume index, cardiac index (CI), left ventricular end-diastolic volume index and left ventricular end-systolic volume index at day 1, 2, 3, 7, and 10, except for CI at day 1 and 2. Kaplan-Meier plot of 28-day mortality and LVSD in pediatric severe sepsis showed there were no statistical differences (χ = 0.042, P = .837).LVSD occurs frequently in pediatric with severe sepsis. The 28-day mortality rate of severe sepsis was also high. In this study, none of LVSD, cTnI, and NT-proBNP was associated with the prognosis of pediatric severe sepsis.


Assuntos
Peptídeo Natriurético Encefálico/sangue , Fragmentos de Peptídeos/sangue , Sepse/mortalidade , Troponina I/sangue , Disfunção Ventricular Esquerda/mortalidade , Função Ventricular Esquerda/fisiologia , Biomarcadores/sangue , Criança , Pré-Escolar , Ecocardiografia/estatística & dados numéricos , Feminino , Mortalidade Hospitalar , Humanos , Modelos Logísticos , Masculino , Análise Multivariada , Prognóstico , Estudos Prospectivos , Sepse/sangue , Sepse/fisiopatologia , Sístole/fisiologia , Disfunção Ventricular Esquerda/etiologia
16.
J Nanobiotechnology ; 17(1): 38, 2019 Mar 13.
Artigo em Inglês | MEDLINE | ID: mdl-30866971

RESUMO

BACKGROUND: Rapid and sensitive detection of H2O2 especially endogenous H2O2 is of great importance for series of industries including disease diagnosis and therapy. In this work, uniform FePt nanoparticles are successfully anchored onto Few-layer molybdenum disulfide nanosheets (F-MoS2 NSs). The powder X-ray diffraction, transmission electron microscopy, UV-Vis spectra and atomic force microscopy were employed to confirm the structure of the obtained nanocomposites (F-MoS2-FePt NCs). The prepared nanocomposites show efficient peroxidase-like catalytic activities verified by catalyzing the peroxidation substrate 4,4'-diamino-3,3',5,5'-tetramethylbiphenyl (TMB) with the existence of H2O2. RESULTS: The optimal conditions of the constructed colorimetric sensing platform is proved as 35 °C and pH 4.2. Under optimal catalytic conditions, the detection limit for H2O2 detection reaches 2.24 µM and the linear ranger is 8 µM to 300 µM. Furthermore, the proposed colorimetric sensing platform was successfully utilized to detect the intracellular H2O2 of cancer cells (MCF-7). CONCLUSIONS: These findings indicated that the F-MoS2-FePt-TMB-H2O2 system provides a potential sensing platform for hydrogen peroxide monitoring in living cells.


Assuntos
Colorimetria , Dissulfetos/química , Peróxido de Hidrogênio/análise , Ferro/química , Molibdênio/química , Nanocompostos/química , Platina/química , Ligas/química , Catálise , Humanos , Concentração de Íons de Hidrogênio , Células MCF-7 , Oxirredução , Peroxidases/metabolismo
17.
Toxicol Lett ; 300: 31-39, 2019 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-30352267

RESUMO

Cholestasis is one of the most challenging diseases to be treated in current hepatology. However little is known about the adaptation difference and the underlying mechanism between acute and chronic cholestasis. In this study, wild-type and Pparα-null mice were orally administered diet containing 0.05% ANIT to induce chronic cholestasis. Biochemistry, histopathology and serum metabolome analysis exhibited the similar toxic phenotype between wild-type and Pparα-null mice. Bile acid metabolism was strongly adapted in Pparα-null mice but not in wild-type mice. The Shp and Fxr mRNA was found to be doubled in cholestatic Pparα-null mice compared with the control group. Western blot confirmed the up-regulated expression of FXR in Pparα-null mice treated with ANIT. Inflammation was found to be stronger in Pparα-null mice than those in wild-type mice in chronic cholestasis. These data chain indicated that bile acid metabolism and inflammation signaling were different between wild-type and Pparα-null mice developing chronic cholestasis, although their toxic phenotypes could not be discriminated. So basal PPARα cross-talked with FXR and inhibited bile acid metabolism adaptation in chronic cholestasis.


Assuntos
Ácidos e Sais Biliares/metabolismo , Doença Hepática Induzida por Substâncias e Drogas/fisiopatologia , Colestase/induzido quimicamente , Colestase/fisiopatologia , Isocianatos/efeitos adversos , Fígado/metabolismo , Camundongos Knockout/genética , Naftalenos/efeitos adversos , Animais , Doença Crônica , Variação Genética , Masculino , Camundongos , Fenótipo
18.
J Cell Physiol ; 234(7): 10800-10808, 2019 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-30537154

RESUMO

The long noncoding RNA cancer susceptibility 9 (CASC9) has been reported to be a pivot modulator in growth and metastasis of breast cancer, liver cancer, esophageal squamous cell carcinoma, lung adenocarcinoma, gastric cancer, and nasopharyngeal cancer. However, its potential roles in ovarian cancer remain unclear. In this study, we aimed at its functions and molecular mechanism in ovarian cancer progression. We showed that CASC9 was highly expressed in ovarian cancer tissues and cell lines. An elevated level of CASC9 predicts an unfavorable prognosis in patients with ovarian cancer. Loss-of-function and gain-of-function assays illustrated that CASC9 promotes ovarian cancer cell proliferation, migration, and invasion in vitro, and accelerates tumor growth in vivo. We showed that CASC9 works as a competing endogenous RNA (ceRNA) for miR-758-3p which targets LIN7A. CASC9 inhibits the level of miR-758-3p, and in turn stimulates LIN7A expression in ovarian cancer. Overexpression of LIN7A reverses the suppressive roles of CASC9 depletion on ovarian cancer. In sum, our findings reveal a novel undefined regulatory signaling pathway, namely CASC9/miR-758-3p/LIN7A axis, involved in ovarian cancer progression.

19.
Med Image Anal ; 52: 24-41, 2019 02.
Artigo em Inglês | MEDLINE | ID: mdl-30468970

RESUMO

Surgical tool detection is attracting increasing attention from the medical image analysis community. The goal generally is not to precisely locate tools in images, but rather to indicate which tools are being used by the surgeon at each instant. The main motivation for annotating tool usage is to design efficient solutions for surgical workflow analysis, with potential applications in report generation, surgical training and even real-time decision support. Most existing tool annotation algorithms focus on laparoscopic surgeries. However, with 19 million interventions per year, the most common surgical procedure in the world is cataract surgery. The CATARACTS challenge was organized in 2017 to evaluate tool annotation algorithms in the specific context of cataract surgery. It relies on more than nine hours of videos, from 50 cataract surgeries, in which the presence of 21 surgical tools was manually annotated by two experts. With 14 participating teams, this challenge can be considered a success. As might be expected, the submitted solutions are based on deep learning. This paper thoroughly evaluates these solutions: in particular, the quality of their annotations are compared to that of human interpretations. Next, lessons learnt from the differential analysis of these solutions are discussed. We expect that they will guide the design of efficient surgery monitoring tools in the near future.


Assuntos
Extração de Catarata/instrumentação , Aprendizado Profundo , Instrumentos Cirúrgicos , Algoritmos , Humanos , Gravação em Vídeo
20.
IEEE Trans Pattern Anal Mach Intell ; 41(8): 1939-1946, 2019 08.
Artigo em Inglês | MEDLINE | ID: mdl-30387723

RESUMO

Edge detection is a fundamental problem in computer vision. Recently, convolutional neural networks (CNNs) have pushed forward this field significantly. Existing methods which adopt specific layers of deep CNNs may fail to capture complex data structures caused by variations of scales and aspect ratios. In this paper, we propose an accurate edge detector using richer convolutional features (RCF). RCF encapsulates all convolutional features into more discriminative representation, which makes good usage of rich feature hierarchies, and is amenable to training via backpropagation. RCF fully exploits multiscale and multilevel information of objects to perform the image-to-image prediction holistically. Using VGG16 network, we achieve state-of-the-art performance on several available datasets. When evaluating on the well-known BSDS500 benchmark, we achieve ODS F-measure of 0.811 while retaining a fast speed (8 FPS). Besides, our fast version of RCF achieves ODS F-measure of 0.806 with 30 FPS. We also demonstrate the versatility of the proposed method by applying RCF edges for classical image segmentation.

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