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1.
Front Neurosci ; 17: 1222541, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37575301

RESUMO

Background: Cognitive impairment is a common sequela following traumatic brain injury (TBI). This study aimed to identify risk factors for cognitive impairment after 3 and 12 months of TBI and to create nomograms to predict them. Methods: A total of 305 mild-to-moderate TBI patients admitted to the First Affiliated Hospital with Nanjing Medical University from January 2018 to January 2022 were retrospectively recruited. Risk factors for cognitive impairment after 3 and 12 months of TBI were identified by univariable and multivariable logistic regression analyses. Based on these factors, we created two nomograms to predict cognitive impairment after 3 and 12 months of TBI, the discrimination and calibration of which were validated by plotting the receiver operating characteristic (ROC) curve and calibration curve, respectively. Results: Cognitive impairment was detected in 125/305 and 52/305 mild-to-moderate TBI patients after 3 and 12 months of injury, respectively. Age, the Glasgow Coma Scale (GCS) score, >12 years of education, hyperlipidemia, temporal lobe contusion, traumatic subarachnoid hemorrhage (tSAH), very early rehabilitation (VER), and intensive care unit (ICU) admission were independent risk factors for cognitive impairment after 3 months of mild-to-moderate TBI. Meanwhile, age, GCS score, diabetes mellitus, tSAH, and surgical treatment were independent risk factors for cognitive impairment after 12 months of mild-to-moderate TBI. Two nomograms were created based on the risk factors identified using logistic regression analyses. The areas under the curve (AUCs) of the two nomograms to predict cognitive impairment after 3 and 12 months of mild-to-moderate TBI were 0.852 (95% CI [0.810, 0.895]) and 0.817 (95% CI [0.762, 0.873]), respectively. Conclusion: Two nomograms are created to predict cognitive impairment after 3 and 12 months of TBI. Age, GCS score, >12 years of education, hyperlipidemia, temporal lobe contusion, tSAH, VER, and ICU admission are independent risk factors for cognitive impairment after 3 months of TBI; meanwhile, age, the GCS scores, diabetes mellitus, tSAH, and surgical treatment are independent risk factors of cognitive impairment after 12 months of TBI. Two nomograms, based on both groups of factors, respectively, show strong discriminative abilities.

2.
Int J Biol Macromol ; 223(Pt B): 1641-1652, 2022 Dec 31.
Artigo em Inglês | MEDLINE | ID: mdl-36273547

RESUMO

Endochitinase is a natural extracellular protein in Trichoderma longibrachiatum T6, which can degrade the eggshell of Heterodera avenae significantly, however the related genes that coding this protein was rarely characterized. In the present study, the endochitinase 18-5 gene (T6-Echi18-5) of T. longibrachiatum T6 was cloned and sequenced. The expression level of T6-Echi18-5 gene in T. longibrachiatum T6 was induced and increased after the H. avenae cysts inoculation. The full-length cDNA sequence of T6-Echi18-5 was 1671 bp that contained an ORF of 1275 bp, corresponding to 424 amino acids with a 45.9 kDa molecular weight. A single band of 60.04 kDa was detected and identified using SDS-PAGE and Western blot analysis after transferring the T6-Echi18-5 gene to Escherichia coli BL21 Rosetta (DE3). The concentration of purified recombinant T6-Echi18-5 protein was 1.53 mg·ml-1, and the optimal temperature and pH were 50 °C and 5.0, respectively. The eggshell and content were dissolved and exuded from 4 to10 days after treatment with the purified recombinant T6-Echi18-5 protein. The relative inhibition rate of eggs hatching was 86.79 % at 12 days after treatment. Our study demonstrated the key role of T6-Echi18-5 gene in degrading the H. avenae eggshell and inhibiting the eggs hatching.


Assuntos
Quitinases , Hypocreales , Trichoderma , Quitinases/genética , Trichoderma/metabolismo , Antinematódeos , Hypocreales/metabolismo , Proteínas Recombinantes/genética , Proteínas Recombinantes/metabolismo
3.
Front Plant Sci ; 13: 772685, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35283914

RESUMO

Cucurbita pepo is one of the earliest cultivated crops. It is native to Central and South America and is now widely cultivated all over the world for its rich nutrition, short growth period, and high yield, which make it suitable for intercropping. Hull-less C. pepo L. (HLCP) is a rare variant in nature that is easier to consume. Its seed has a seed kernel but lacks a seed coat. The molecular mechanism underlying the lack of seed coat development in the HLCP variety is not clear yet. The BGISEQ-500 sequencing platform was used to sequence 18 cDNA libraries of seed coats from hulled C. pepo (CP) and HLCP at three developmental stages (8, 18, and 28 days) post-pollination. We found that lignin accumulation in the seed coat of the HLCP variety was much lower than that of the CP variety. A total of 2,099 DEGs were identified in the CP variety, which were enriched mainly in the phenylpropanoid biosynthesis pathway, amino sugar, and nucleotide sugar metabolism pathways. A total of 1,831 DEGs were identified in the HLCP variety and found to be enriched mainly in the phenylpropanoid biosynthesis and metabolism pathways of starch and sucrose. Among the DEGs, hub proteins (FusA), protein kinases (IRAK4), and several transcription factors related to seed coat development (MYB, bHLH, NAC, AP2/EREBP, WRKY) were upregulated in the CP variety. The relative expression levels of 12 randomly selected DEGs were determined using quantitative real-time PCR analysis and found to be consistent with those obtained using RNA-Seq, with a correlation coefficient of 0.9474. We found that IRAK4 protein kinases, AP2/EREBP, MYB, bHLH, and NAC transcription factors may play important roles in seed coat development, leading to the formation of HLCP.

4.
BMC Cardiovasc Disord ; 21(1): 567, 2021 11 27.
Artigo em Inglês | MEDLINE | ID: mdl-34837936

RESUMO

BACKGROUND: Coronary artery fistula refers to an abnormal communication between a coronary artery and great vessel, a cardiac chamber or other structure. The left circumflex artery (LCX) pericardia fistula combined with huge pseudoaneurysm is extremely rare. CASE PRESENTATION: A 39-year-old young female was admitted into our hospital because of palpitation and shortness of breath. Coronary computed tomography angiography (CCTA) showed a huge pseudoaneurysm located in pericardium. Coronary angiography revealed the LCX pericardia fistula. Then surgical treatment was performed. She was in good condition without complications after surgery. CONCLUSIONS: Coronary artery fistula combined with pseudoaneurysm can be caused by congenital factors. Early surgical treatment can relieve the patient's symptoms and prevent the occurrence of adverse cardiovascular events.


Assuntos
Falso Aneurisma/complicações , Aneurisma Coronário/complicações , Anomalias dos Vasos Coronários/complicações , Pericárdio/anormalidades , Fístula Vascular/complicações , Adulto , Falso Aneurisma/diagnóstico por imagem , Falso Aneurisma/cirurgia , Angiografia por Tomografia Computadorizada , Aneurisma Coronário/diagnóstico por imagem , Aneurisma Coronário/cirurgia , Angiografia Coronária , Anomalias dos Vasos Coronários/diagnóstico por imagem , Anomalias dos Vasos Coronários/cirurgia , Feminino , Humanos , Pericárdio/diagnóstico por imagem , Pericárdio/cirurgia , Resultado do Tratamento , Fístula Vascular/diagnóstico por imagem , Fístula Vascular/cirurgia
5.
Jpn J Radiol ; 39(10): 973-983, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34101118

RESUMO

PURPOSE: To construct an auxiliary empirical antibiotic therapy (EAT) multi-class classification model for children with bacterial pneumonia using radiomics features based on artificial intelligence and low-dose chest CT images. MATERIALS AND METHODS: Data were retrospectively collected from children with pathogen-confirmed bacterial pneumonia including Gram-positive bacterial pneumonia (122/389, 31%), Gram-negative bacterial pneumonia (159/389, 41%) and atypical bacterial pneumonia (108/389, 28%) from January 1 to June 30, 2019. Nine machine-learning models were separately evaluated based on radiomics features extracted from CT images; three optimal submodels were constructed and integrated to form a multi-class classification model. RESULTS: We selected five features to develop three radiomics submodels: a Gram-positive model, a Gram-negative model and an atypical model. The comprehensive radiomics model using support vector machine method yielded an average area under the curve (AUC) of 0.75 [95% confidence interval (CI), 0.65-0.83] and accuracy (ACC) of 0.58 [sensitivity (SEN), 0.57; specificity (SPE), 0.78] in the training set, and an average AUC of 0.73 (95% CI 0.61-0.79) and ACC of 0.54 (SEN, 0.52; SPE, 0.75) in the test set. CONCLUSION: This auxiliary EAT radiomics multi-class classification model was deserved to be researched in differential diagnosing bacterial pneumonias in children.


Assuntos
COVID-19 , Pneumonia Bacteriana , Antibacterianos/uso terapêutico , Inteligência Artificial , Criança , Humanos , Pneumonia Bacteriana/diagnóstico por imagem , Pneumonia Bacteriana/tratamento farmacológico , Estudos Retrospectivos , Tomografia Computadorizada por Raios X
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