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BACKGROUND: Early recognition of severely injured patients in prehospital settings is of paramount importance for timely treatment and transportation of patients to further treatment facilities. The dispatching accuracy has seldom been addressed in previous studies. OBJECTIVE: In this study, we aimed to build a machine learning-based model through text mining of emergency calls for the automated identification of severely injured patients after a road accident. METHODS: Audio recordings of road accidents in Taipei City, Taiwan, in 2018 were obtained and randomly sampled. Data on call transfers or non-Mandarin speeches were excluded. To predict cases of severe trauma identified on-site by emergency medical technicians, all included cases were evaluated by both humans (6 dispatchers) and a machine learning model, that is, a prehospital-activated major trauma (PAMT) model. The PAMT model was developed using term frequency-inverse document frequency, rule-based classification, and a Bernoulli naïve Bayes classifier. Repeated random subsampling cross-validation was applied to evaluate the robustness of the model. The prediction performance of dispatchers and the PAMT model, in severe cases, was compared. Performance was indicated by sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. RESULTS: Although the mean sensitivity and negative predictive value obtained by the PAMT model were higher than those of dispatchers, they obtained higher mean specificity, positive predictive value, and accuracy. The mean accuracy of the PAMT model, from certainty level 0 (lowest certainty) to level 6 (highest certainty), was higher except for levels 5 and 6. The overall performances of the dispatchers and the PAMT model were similar; however, the PAMT model had higher accuracy in cases where the dispatchers were less certain of their judgments. CONCLUSIONS: A machine learning-based model, called the PAMT model, was developed to predict severe road accident trauma. The results of our study suggest that the accuracy of the PAMT model is not superior to that of the participating dispatchers; however, it may assist dispatchers when they lack confidence while making a judgment.
Subject(s)
Emergency Medical Dispatch , Emergency Medical Services , Bayes Theorem , Emergency Medical Service Communication Systems , Emergency Medical Services/methods , Humans , Machine LearningABSTRACT
Background and Aims: Acute-on-chronic liver failure (ACLF) is a rare, but dramatic clinical syndrome. There is substantial evidence suggesting that immunity-mediated inflammation plays an important role in HBV-ACLF. Our aim was to characterize the proportion and cell counts of peripheral blood lymphocyte subsets in acute-on-chronic liver failure patients caused by HBV infection. Methods: One hundred and seventeen patients were enrolled in this study, including those with HBV-related ACLF (HBV-ACLF; n = 70), and HBV related non-ACLF patients (HBV non-ACLF; n = 47). Demographics, clinical and laboratory data at hospital admission were retrospectively analyzed. The percentage and cell count of peripheral lymphocyte subsets were evaluated by flow cytometry. Comparison analysis was performed by t-test or non-parametric Mann-Whitney U-test. Actuarial probabilities of death were calculated by the Kaplan-Meier method. Results: Both circulating lymphocyte count and lymphocyte percentage were significantly reduced in patients with HBV-ACLF (P < 0.001). The CD8+ T cell, CD4+ T cell, and CD16+CD56+ NK cell counts were significantly decreased in HBV-ACLF. Consistently, flow cytometric analysis showed that CD8+ T cell counts were significantly decreased in non-survivors, while no significant differences were found in CD4+ T cell, CD19+ B cell, or CD56+CD16+ NK cell counts. Furthermore, the group with the lower CD8+ T cell count displayed a significantly higher mortality rate compared with the group with the higher CD8+ T cell count. Conclusions: The abnormal prevalence of lymphocyte subsets may be important in the pathogenesis of HBV-ACLF. The decrease in CD8+ T cell counts may be related to poor survival in HBV-ACLF patients.
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Objective: Vagus nerve stimulation (VNS) is an adjunctive and well-established treatment for patients with drug-resistant epilepsy (DRE). However, it is still difficult to identify patients who may benefit from VNS surgery. Our study aims to propose a VNS outcome prediction model based on machine learning with multidimensional preoperative heart rate variability (HRV) indices. Methods: The preoperative electrocardiography (ECG) of 59 patients with DRE and of 50 healthy controls were analyzed. Responders were defined as having at least 50% average monthly seizure frequency reduction at 1-year follow-up. Time domain, frequency domain, and non-linear indices of HRV were compared between 30 responders and 29 non-responders in awake and sleep states, respectively. For feature selection, univariate filter and recursive feature elimination (RFE) algorithms were performed to assess the importance of different HRV indices to VNS outcome prediction and improve the classification performance. Random forest (RF) was used to train the classifier, and leave-one-out (LOO) cross-validation was performed to evaluate the prediction model. Results: Among 52 HRV indices, 49 showed significant differences between DRE patients and healthy controls. In sleep state, 35 HRV indices of responders were significantly higher than those of non-responders, while 16 of them showed the same differences in awake state. Low-frequency power (LF) ranked first in the importance ranking results by univariate filter and RFE methods, respectively. With HRV indices in sleep state, our model achieved 74.6% accuracy, 80% precision, 70.6% recall, and 75% F1 for VNS outcome prediction, which was better than the optimal performance in awake state (65.3% accuracy, 66.4% precision, 70.5% recall, and 68.4% F1). Significance: With the ECG during sleep state and machine learning techniques, the statistical model based on preoperative HRV could achieve a better performance of VNS outcome prediction and, therefore, help patients who are not suitable for VNS to avoid the high cost of surgery and possible risks of long-term stimulation.
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Bile acids (BAs) are classically known to play a vital role in the metabolism of lipids and in absorption. It is now well established that BAs act as signaling molecules, activating different receptors (such as farnesoid X receptor, vitamin D receptor, Takeda G-protein-coupled receptor 5, sphingosine-1-phosphate, muscarinic receptors, and big potassium channels) and participating in the regulation of energy homeostasis and lipid and glucose metabolism. In addition, increased BAs can impair cardiovascular function in liver cirrhosis. Approximately 50% of patients with cirrhosis develop cirrhotic cardiomyopathy. Exposure to high concentrations of hydrophobic BAs has been shown to be related to adverse effects with respect to vascular tension, endothelial function, arrhythmias, coronary atherosclerotic heart disease, and heart failure. The BAs in the serum BA pool have relevant through their hydrophobicity, and the lipophilic BAs are more harmful to the heart. Interestingly, ursodeoxycholic acid is a hydrophilic BA, and it is used as a therapeutic drug to reverse and protect the harmful cardiac effects caused by hydrophobic elevated BAs. In order to elucidate the mechanism of BAs and cardiovascular function, abundant experiments have been conducted in vitro and in vivo. The aim of this review was to explore the mechanism of BAs in the cardiovascular system.
ABSTRACT
Anthocyanins spatiotemporally accumulate in certain tissues of particular species in the banana plant, and MYB transcription factors (TFs) serve as their primary regulators. However, the precise regulatory mechanism in banana remains to be determined. Here, we report the identification and characterization of MaMYB4, an R2R3-MYB repressor TF, characterized by the presence of EAR (ethylene-responsive element binding factor-associated amphiphilic repression) and TLLLFR motifs. MaMYB4 expression was induced by the accumulation of anthocyanins. Transgenic banana plants overexpressing MaMYB4 displayed a significant reduction in anthocyanin compared to wild type. Consistent with the above results, metabolome results showed that there was a decrease in all three identified cyanidins and one delphinidin, the main anthocyanins that determine the color of banana leaves, whereas both transcriptome and reverse transcription-quantitative polymerase chain reaction analysis showed that many key anthocyanin synthesis structural genes and TF regulators were downregulated in MaMYB4 overexpressors. Furthermore, dual-luciferase assays showed that MaMYB4 was able to bind to the CHS, ANS, DFR, and bHLH promoters, leading to inhibition of their expression. Yeast two-hybrid analysis verified that MaMYB4 did not interact with bHLH, which ruled out the possibility that MaMYB4 could be incorporated into the MYB-bHLH-WD40 complex. Our results indicated that MaMYB4 acts as a repressor of anthocyanin biosynthesis in banana, likely due to a two-level repression mechanism that consists of reduced expression of anthocyanin synthesis structural genes and the parallel downregulation of bHLH to interfere with the proper assembly of the MYB-bHLH-WD40 activation complex. To the best of our knowledge, this is the first MYB TF that regulates anthocyanin synthesis that was identified by genetic methods in bananas, which will be helpful for manipulating anthocyanin coloration in banana programs in the future.
ABSTRACT
Banana is an important tropical fruit with high economic value. One of the main cultivars ('Cavendish') is susceptible to low temperatures, while another closely related specie ('Dajiao') has considerably higher cold tolerance. We previously reported that some membrane proteins appear to be involved in the cold tolerance of Dajiao bananas via an antioxidation mechanism. To investigate the early cold stress response of Dajiao, here we applied comparative membrane proteomics analysis for both cold-sensitive Cavendish and cold-tolerant Dajiao bananas subjected to cold stress at 10°C for 0, 3, and 6 h. A total of 2,333 and 1,834 proteins were identified in Cavendish and Dajiao, respectively. Subsequent bioinformatics analyses showed that 692 Cavendish proteins and 524 Dajiao proteins were predicted to be membrane proteins, of which 82 and 137 differentially abundant membrane proteins (DAMPs) were found in Cavendish and Dajiao, respectively. Interestingly, the number of DAMPs with increased abundance following 3 h of cold treatment in Dajiao (80) was seven times more than that in Cavendish (11). Gene ontology molecular function analysis of DAMPs for Cavendish and Dajiao indicated that they belong to eight categories including hydrolase activity, binding, transporter activity, antioxidant activity, etc., but the number in Dajiao is twice that in Cavendish. Strikingly, we found peroxidases (PODs) and aquaporins among the protein groups whose abundance was significantly increased after 3 h of cold treatment in Dajiao. Some of the PODs and aquaporins were verified by reverse-transcription PCR, multiple reaction monitoring, and green fluorescent protein-based subcellular localization analysis, demonstrating that the global membrane proteomics data are reliable. By combining the physiological and biochemical data, we found that membrane-bound Peroxidase 52 and Peroxidase P7, and aquaporins (MaPIP1;1, MaPIP1;2, MaPIP2;4, MaPIP2;6, MaTIP1;3) are mainly involved in decreased lipid peroxidation and maintaining leaf cell water potential, which appear to be the key cellular adaptations contributing to the cold tolerance of Dajiao. This membrane proteomics study provides new insights into cold stress tolerance mechanisms of banana, toward potential applications for ultimate genetic improvement of cold tolerance in banana.
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OBJECTIVE: To compare the microbiological features in middle meatus samples from chronic rhinosinusitis (CRS) patients with nasal polyps (CRSwNP) and those without nasal polyps (CRSsNP), and control subjects. METHODS: A total of 136 CRSwNP patients, 66 CRSsNP patients, and 49 control subjects who underwent endoscopic surgery in Beijing TongRen Hospital were enrolled between January 2014 and January 2016. Swab samples were obtained from the middle meatus during surgery and processed for the presence of aerobic and non-aerobic bacteria and fungi. Information on the allergic rhinitis, asthma, the percentage of eosinophils in peripheral blood, and the history of smoking and surgery was collected. RESULTS: The overall isolation rate for bacteria was 81.3% for the three groups, with the lowest in the CRSsNP group (77.3%) and the highest in the CRSwNP group (88.4%). There were no significant differences in isolation rates among the three groups (P = 0.349). The three most common bacterial species were: Coagulase-negative Staphylococcus (24.3%), Corynebacterium (19.9%), and Staphylococcus epidermidis (19.1%) in the CRSwNP group; S. epidermidis (21.2%), Corynebacterium (21.2%), Coagulase-negative staphylococcus (18.2%), and Staphylococcus aureus (13.6%) in the CRSsNP group; S. epidermidis (30.6%), Coagulase-negative Staphylococcus (28.6%), and S. aureus (14.3%) in the control group. For the bacterial species with high isolation rates, no significant difference in the microbial cultures was observed among the three groups; whereas in the CRSwNP group, a relatively high proportion of Citrobacter (5.9%, a bacterium with low isolation rate) was observed compared with the CRSsNP and control groups (all 0.0%). Furthermore, when samples were categorized into subgroups according to the percentage of eosinophils, some bacterial species showed different rates in the CRSwNP group (e.g., S. aureus, 3.3% in the subgroup with normal percentage of eosinophils, 17.2% in the subgroup with increased percentage of eosinophils, P = 0.011). CONCLUSIONS: There were no significant differences in the microbiological features (except Citrobacter) in middle meatus samples from CRSwNP patients, CRSsNP patients, and control subjects. S. aureus may promote eosinophilic inflammatory response, while S. epidermidis may promote non-eosinophilic inflammatory response.
Subject(s)
Nasal Polyps/complications , Nasal Polyps/microbiology , Rhinitis/complications , Rhinitis/microbiology , Sinusitis/complications , Sinusitis/microbiology , Adult , Case-Control Studies , Chronic Disease , Corynebacterium/isolation & purification , Endoscopy , Eosinophils , Female , Humans , Male , Middle Aged , Nasal Polyps/surgery , Rhinitis/surgery , Sinusitis/surgery , Staphylococcus aureus/isolation & purification , Staphylococcus epidermidis/isolation & purificationABSTRACT
Low temperature is one of the key environmental stresses, which greatly affects global banana production. However, little is known about the global phosphoproteomes in Musa spp. and their regulatory roles in response to cold stress. In this study, we conducted a comparative phosphoproteomic profiling of cold-sensitive Cavendish Banana and relatively cold tolerant Dajiao under cold stress. Phosphopeptide abundances of five phosphoproteins involved in MKK2 interaction network, including MKK2, HY5, CaSR, STN7 and kinesin-like protein, show a remarkable difference between Cavendish Banana and Dajiao in response to cold stress. Western blotting of MKK2 protein and its T31 phosphorylated peptide verified the phosphoproteomic results of increased T31 phosphopeptide abundance with decreased MKK2 abundance in Daojiao for a time course of cold stress. Meanwhile increased expression of MKK2 with no detectable T31 phosphorylation was found in Cavendish Banana. These results suggest that the MKK2 pathway in Dajiao, along with other cold-specific phosphoproteins, appears to be associated with the molecular mechanisms of high tolerance to cold stress in Dajiao. The results also provide new evidence that the signaling pathway of cellular MKK2 phosphorylation plays an important role in abiotic stress tolerance that likely serves as a universal plant cold tolerance mechanism.
Subject(s)
Cold Temperature , Mitogen-Activated Protein Kinase Kinases/metabolism , Musa/metabolism , Phosphoproteins/metabolism , Plant Proteins/metabolism , Proteome , Proteomics , Adaptation, Biological , Amino Acid Motifs , Amino Acid Sequence , Phenotype , Phosphopeptides/metabolism , Phosphorylation , Protein Interaction Mapping , Protein Interaction Maps , Proteomics/methods , Stress, PhysiologicalABSTRACT
OBJECTIVE: To explore the clinical outcomes of percutaneous vertebroplasty(PVP), percutaneous kyphoplasty(PKP) and percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement in treating osteoporotic vertebral compression fracture(OVCF). METHODS: From May 2012 to November 2013, the clinical data of 90 patients with osteoporotic vertebral compression fracture were retrospectively analyzed. According to the different methods of operation, the patients were divided into three groups, including the percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement group (group A), percutaneous vertebroplasty group (group B), percutaneous kyphoplasty group (group C), each group had 30 patients. Pre operative, postoperative at 1 day, 3 months, 1 year, the back pain was assessed by visual analogue scale(VAS), and vertebral height compression ratio, Cobb angle were measured by X-rays. RESULTS: All operations were successful and no complications such as postoperative infections and deep vein thrombosis were found. At the final follow up, there were 2 patients with mild postoperative back pain in group A;7 patients with moderate postoperative back pain, 4 patients with severe postoperative back pain, 2 patients with postoperative vertebral refracture in group B; 5 patients with moderate postoperative back pain, 3 patients with severe postoperative back pain, 4 patients with postoperative vertebral refracture in group C. Postoperative VAS, vertebral height compression ratio, Cobb angle of all patients have obviously improved than preoperative(P<0.05). On 1 day, 3 months, 1 year after operation, there was significant difference between group A and group B, C(P<0.05), there was no significant difference between group B and group C(P>0.05). There was no significant difference in group A above items and different times(P>0.05), and there was significant difference in group B, C above items and different times(P<0.05). CONCLUSIONS: The effect of PVP and PKP on the immediately postoperative pain relief was more than percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement in treating osteoporotic vertebral compression fracture, but, residual back pain can happen in different extent in the patients underwent PVP and PKP. Percutaneous hollow pedicle screw with lateral holes implanted bone cement reinforcement technique has obvious advantage in recovery of the vertebral height, correction of vertebral deformity, reduction of postoperative back pain.
Subject(s)
Fractures, Compression/surgery , Osteoporotic Fractures/surgery , Spinal Fractures/surgery , Humans , Kyphoplasty/methods , Treatment Outcome , Vertebroplasty/methodsABSTRACT
It was well known that physiological indices of submerged macrophytes could reflect change of water quality. The correlation between physiological indices of submerged macrophytes and change of water quality was studied under the cooperation of in-situ monitoring and lab analysis, combined with measuring Chlorophyll and free proline (PRO) contents as well as peroxidase (POD) activities in the leaves of Potamogeton wrightii Morong and Potamogeton crispus L. under different water quality and nutrition status. The results showed: â there were significant spatial differences among water factors and the comprehensive eutrophication index (TLI) of distribution areas of Potamogeton wrightii Morong and Potamogeton crispus L. Mesotrophic water was more suitable for the growth of Potamogeton wrightii Morong, while Potamogeton crispus L. grew well in eutrophic water. â¡there were significant spatial differences among physiological indices of Potamogeton wrightii Morong and Potamogeton crispus L. in Taihu Lake. Besides, there were significant relationships between Chlorophyll contents, POD activities of two species and TLI. â¢water transparency as well as nitrogen and phosphorus nutrition were important factors leading to changes in Chlorophyll contents and POD activities of Potamogeton wrightii Morong and Potamogeton crispus L.. The findings from this study indicate that physiological properties of Potamogeton wrightii Morong and Potamogeton crispus L. have a very close correlation with nutrition status and physiochemical properties of water.
Subject(s)
Lakes , Potamogetonaceae/growth & development , Water Quality , China , Chlorophyll , Eutrophication , Nitrogen , Peroxidases , PhosphorusABSTRACT
Banana and its close relative, plantain are globally important crops and there is considerable interest in optimizing their cultivation. Plantain has superior cold tolerance compared with banana and a thorough understanding of the molecular mechanisms and responses of plantain to cold stress has great potential value for developing cold tolerant banana cultivars. In this study, we used iTRAQ-based comparative proteomic analysis to investigate the temporal responses of plantain to cold stress. Plantain seedlings were exposed for 0, 6, and 24 h of cold stress at 8 °C and subsequently allowed to recover for 24 h at 28 °C. A total of 3477 plantain proteins were identified, of which 809 showed differential expression from the three treatments. The majority of differentially expressed proteins were predicted to be involved in oxidation-reduction, including oxylipin biosynthesis, whereas others were associated with photosynthesis, photorespiration, and several primary metabolic processes, such as carbohydrate metabolic process and fatty acid beta-oxidation. Western blot analysis and enzyme activity assays were performed on seven differentially expressed, cold-response candidate plantain proteins to validate the proteomics data. Similar analyses of the seven candidate proteins were performed in cold-sensitive banana to examine possible functional conservation, and to compare the results to equivalent responses between the two species. Consistent results were achieved by Western blot and enzyme activity assays, demonstrating that the quantitative proteomics data collected in this study are reliable. Our results suggest that an increase of antioxidant capacity through adapted ROS scavenging capability, reduced production of ROS, and decreased lipid peroxidation contribute to molecular mechanisms for the increased cold tolerance in plantain. To the best of our knowledge, this is the first report of a global investigation on molecular responses of plantain to cold stress by proteomic analysis.
Subject(s)
Antioxidants/metabolism , Cold Temperature , Musa/metabolism , Plant Proteins/analysis , Seedlings/metabolism , Catalase/analysis , Free Radical Scavengers , Gene Expression Regulation , Oxidation-Reduction , Oxylipins/metabolism , Photosynthesis , Plant Proteins/metabolism , Proteome/analysis , Reactive Oxygen Species , Stress, Physiological , Superoxide Dismutase/analysisABSTRACT
BACKGROUND: Fusarium wilt, caused by the fungal pathogen Fusarium oxysporum f. sp. cubense tropical race 4 (Foc TR4), is considered the most lethal disease of Cavendish bananas in the world. The disease can be managed in the field by planting resistant Cavendish plants generated by somaclonal variation. However, little information is available on the genetic basis of plant resistance to Foc TR4. To a better understand the defense response of resistant banana plants to the Fusarium wilt pathogen, the transcriptome profiles in roots of resistant and susceptible Cavendish banana challenged with Foc TR4 were compared. RESULTS: RNA-seq analysis generated more than 103 million 90-bp clean pair end (PE) reads, which were assembled into 88,161 unigenes (mean size = 554 bp). Based on sequence similarity searches, 61,706 (69.99%) genes were identified, among which 21,273 and 50,410 unigenes were assigned to gene ontology (GO) categories and clusters of orthologous groups (COG), respectively. Searches in the Kyoto Encyclopedia of Genes and Genomes Pathway database (KEGG) mapped 33,243 (37.71%) unigenes to 119 KEGG pathways. A total of 5,008 genes were assigned to plant-pathogen interactions, including disease defense and signal transduction. Digital gene expression (DGE) analysis revealed large differences in the transcriptome profiles of the Foc TR4-resistant somaclonal variant and its susceptible wild-type. Expression patterns of genes involved in pathogen-associated molecular pattern (PAMP) recognition, activation of effector-triggered immunity (ETI), ion influx, and biosynthesis of hormones as well as pathogenesis-related (PR) genes, transcription factors, signaling/regulatory genes, cell wall modification genes and genes with other functions were analyzed and compared. The results indicated that basal defense mechanisms are involved in the recognition of PAMPs, and that high levels of defense-related transcripts may contribute to Foc TR4 resistance in banana. CONCLUSIONS: This study generated a substantial amount of banana transcript sequences and compared the defense responses against Foc TR4 between resistant and susceptible Cavendish bananas. The results contribute to the identification of candidate genes related to plant resistance in a non-model organism, banana, and help to improve the current understanding of host-pathogen interactions.