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  • 1
    Online Resource
    Online Resource
    GmFAD3A, A ω-3 Fatty Acid Desaturase Gene, Enhances Cold Tolerance and Seed Germination Rate under Low Temperature in Rice
    MDPI AG ; 2019
    In:  International Journal of Molecular Sciences Vol. 20, No. 15 ( 2019-08-03), p. 3796-
    Details
    In: International Journal of Molecular Sciences, MDPI AG, Vol. 20, No. 15 ( 2019-08-03), p. 3796-
    Abstract: Low temperature is an environmental stress factor that is always been applied in research on improving crop growth, productivity, and quality of crops. Polyunsaturated fatty acids (PUFAs) play an important role in cold tolerance, so its genetic manipulation of the PUFA contents in crops has led to the modification of cold sensitivity. In this study, we over-expressed an ω-3 fatty acid desaturase from Glycine max (GmFAD3A) drove by a maize ubiquitin promoter in rice. Compared to the wild type (ZH11), ectopic expression of GmFAD3A increased the contents of lipids and total PUFAs. Seed germination rates in GmFAD3A transgenic rice were enhanced under low temperature (15 °C). Moreover, cold tolerance and survival ratio were significantly improved in GmFAD3A transgenic seedlings. Malondialdehyde (MDA) content in GmFAD3A transgenic rice was lower than that in WT under cold stress, while proline content obviously increased. Meanwhile, the activities of superoxide dismutase (SOD), hydroperoxidase (CAT), and peroxidase (POD) increased substantially in GmFAD3A transgenic rice after 4 h of cold treatment. Taken together, our results suggest that GmFAD3A can enhances cold tolerance and the seed germination rate at a low temperature in rice through the accumulation of proline content, the synergistic increase of the antioxidant enzymes activity, which finally ameliorated the oxidative damage.
    Type of Medium: Online Resource
    ISSN: 1422-0067
    URL: Article
    DOI: 10.3390/ijms20153796
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2019364-6
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Weaning critically ill patients from mechanical ventilation: a protocol from a multicenter retrospective cohort study
    AME Publishing Company ; 2022
    In:  Journal of Thoracic Disease Vol. 14, No. 1 ( 2022-1), p. 199-206
    Details
    In: Journal of Thoracic Disease, AME Publishing Company, Vol. 14, No. 1 ( 2022-1), p. 199-206
    Type of Medium: Online Resource
    ISSN: 2072-1439 , 2077-6624
    URL: Journal
    URL: Article
    DOI: 10.21037/jtd
    DOI: 10.21037/jtd-21-1217
    Language: Unknown
    Publisher: AME Publishing Company
    Publication Date: 2022
    detail.hit.zdb_id: 2573571-8
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  • 3
    Online Resource
    Online Resource
    Simultaneous Determination of Triterpene Saponins in Ginseng Drugs by High-Performance Liquid Chromatography
    Pharmaceutical Society of Japan ; 2004
    In:  Chemical and Pharmaceutical Bulletin Vol. 52, No. 8 ( 2004), p. 995-998
    Details
    In: Chemical and Pharmaceutical Bulletin, Pharmaceutical Society of Japan, Vol. 52, No. 8 ( 2004), p. 995-998
    Type of Medium: Online Resource
    ISSN: 0009-2363 , 1347-5223
    URL: Article
    DOI: 10.1248/cpb.52.995
    Language: English
    Publisher: Pharmaceutical Society of Japan
    Publication Date: 2004
    detail.hit.zdb_id: 2029875-4
    SSG: 15,3
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  • 4
    Online Resource
    Online Resource
    Risk factors for progression to bacteremia among patients with nosocomial carbapenem-resistant Acinetobacter baumannii pneumonia in the Intensive Care Unit
    Springer Science and Business Media LLC ; 2023
    In:  European Journal of Clinical Microbiology & Infectious Diseases
    Details
    In: European Journal of Clinical Microbiology & Infectious Diseases, Springer Science and Business Media LLC
    Abstract: Antibiotic-resistant Acinetobacter baumannii ( A. baumannii ) is a common cause of hospital-acquired infections. This study aimed to identify independent factors associated with progression from nosocomial pneumonia to bacteremia in patients infected with carbapenem-resistant A. baumannii (CR-AB). From 2019 to 2021, we conducted a retrospective anaylsis of the medical records of 159 nosocomial CR-AB pneumonia patients in our Intensive Care Unit (ICU). We employed both univariate and multivariable logistic regression models to identify factors associated with the progression of nosocomial CR-AB pneumonia to bacteremia. Among the 159 patients with nosocomial CR-AB pneumonia, 40 experienced progression to bacteremia and 38 died within 28 days following diagnosis. Patients who developed bacteremia had a significantly higher 28-day mortality rate compared to those without bloodstream infection (47.50% vs. 15.97%). Multivariable logistic regression revealed that higher levels of C-Reactive protein (CRP) (OR = 1.01) and the use of continuous veno-venous hemofiltration (CVVH) treatment (OR = 2.93) were independently associated with an elevated risk of developing bacteremia. Among patients who developed bloodstream infection, those who died within 28 days exhibited significantly higher level of interleukin-6 (IL-6), a greater frequency of antifungal drugs usage, and a longer duration of machanical ventilation compared to survivors. Furthermore, the use of antifungal drugs was the only factor that associated with 28-day mortality (OR = 4.70). In ICU patients with central venous catheters who have CR-AB pneumonia and are on mechanical ventilation, higher CRP levels and CVVH treatment are risk factors for developing bacteremia. Among patients with bacteremia, the use of antifungal drugs is associated with 28-day mortality.
    Type of Medium: Online Resource
    ISSN: 0934-9723 , 1435-4373
    URL: Article
    DOI: 10.1007/s10096-023-04668-9
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1459049-9
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  • 5
    Online Resource
    Online Resource
    Effects of ACEI and ARB on COVID-19 patients: A meta-analysis
    Hindawi Limited ; 2020
    In:  Journal of the Renin-Angiotensin-Aldosterone System Vol. 21, No. 4 ( 2020-10), p. 147032032098132-
    Details
    In: Journal of the Renin-Angiotensin-Aldosterone System, Hindawi Limited, Vol. 21, No. 4 ( 2020-10), p. 147032032098132-
    Abstract: The clinical use of angiotensin-converting enzyme inhibitors (ACEI) and angiotensin-receptor blockers (ARB) in patients with COVID-19 infection remains controversial. Therefore, we performed a meta-analysis on the effects of ACEI/ARB on disease symptoms and laboratory tests in hypertensive patients infected with COVID-19 virus and those who did not use ACEI/ARB. Methods: We systematically searched the relevant literatures from Pubmed, Embase, EuropePMC, CNKI, and other databases during the study period of 31 December 2019 (solstice, 15 March 2020), and analyzed the differences in symptoms and laboratory tests between patients with COVID-19 and hypertension who used ACEI/ARB drugs and those who did not. All statistical analyses were performed with REVMAN5.3. Results: We included a total of 1808 patients with hypertension diagnosed with COVID-19 in six studies. Analysis results show that ACEI/ARB drugs group D-dimer is lower (SMD = −0.22, 95%CI: −0.36 to −0.06), and the chances of getting fever is lower (OR = 0.74, 95%CI: 0.55 to 0.98). Meanwhile, laboratory data and symptoms were not statistical difference, but creatinine tends to rise (SMD = 0.22, 95% CI: 0.04 to 0.41). Conclusion: We found that the administration of ACEI/ARB drugs had positive effect on reducing D-dimer and the number of people with fever. Meanwhile it had no significant effect on other laboratory tests (creatinine excepted) or symptoms in patients with COVID-19, while special attention was still needed in patients with renal insufficiency.
    Type of Medium: Online Resource
    ISSN: 1470-3203 , 1752-8976
    URL: Article
    DOI: 10.1177/1470320320981321
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2261873-9
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  • 6
    Online Resource
    Online Resource
    A Decision Control Method for Autonomous Driving Based on Multi-Task Reinforcement Learning
    Institute of Electrical and Electronics Engineers (IEEE) ; 2021
    In:  IEEE Access Vol. 9 ( 2021), p. 154553-154562
    Details
    In: IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), Vol. 9 ( 2021), p. 154553-154562
    Type of Medium: Online Resource
    ISSN: 2169-3536
    URL: Article
    DOI: 10.1109/ACCESS.2021.3126796
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2021
    detail.hit.zdb_id: 2687964-5
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  • 7
    Online Resource
    Online Resource
    Quantitative assessment of cold atmospheric plasma anti‐cancer efficacy in triple‐negative breast cancers
    Wiley ; 2018
    In:  Plasma Processes and Polymers Vol. 15, No. 8 ( 2018-08)
    Details
    In: Plasma Processes and Polymers, Wiley, Vol. 15, No. 8 ( 2018-08)
    Abstract: Cold atmospheric plasma has emerged as a novel oncotherapeutic approach that has undergone a fast growth in the past few years. However, there is no quantitative assessment of the factors influencing its anti‐tumor efficacy and the mechanism driving its activity remains mysterious. Through the use of 18 orthogonal experiments followed by linear model construction, we identified four deterministic parameters, that is, “treatment time,” “liquid surface area,” “thickness of medium,” and “number of cells,” which play deterministic roles on the anti‐tumor efficacy of plasma. We propose “Reactive Species Diffusion Model” and “Signal Transduction Model” to explain the mechanics determining the activity of plasma treated medium and its cell‐death induction efficacy. We, in addition, proposed the use of deterministic parameters in defining plasma dose in the liquid form to more objectively reflect its multi‐modality nature. Our study contributes in elucidating plasma activity and efficacy in a quantitative way, which guides other plasma related investigations and accelerates plasma clinical applications as a type of precision oncotherapy.
    Type of Medium: Online Resource
    ISSN: 1612-8850 , 1612-8869
    URL: Issue
    URL: Article
    DOI: 10.1002/ppap.v15.8
    DOI: 10.1002/ppap.201800052
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2159694-3
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  • 8
    Online Resource
    Online Resource
    Application of machine learning to predict the occurrence of arrhythmia after acute myocardial infarction
    Springer Science and Business Media LLC ; 2021
    In:  BMC Medical Informatics and Decision Making Vol. 21, No. 1 ( 2021-11-02)
    Details
    In: BMC Medical Informatics and Decision Making, Springer Science and Business Media LLC, Vol. 21, No. 1 ( 2021-11-02)
    Abstract: Early identification of the occurrence of arrhythmia in patients with acute myocardial infarction plays an essential role in clinical decision-making. The present study attempted to use machine learning (ML) methods to build predictive models of arrhythmia after acute myocardial infarction (AMI). Methods A total of 2084 patients with acute myocardial infarction were enrolled in this study. (All data is available on Github: https://github.com/wangsuhuai/AMI-database1.git) . The primary outcome is whether tachyarrhythmia occurred during admission containing atrial arrhythmia, ventricular arrhythmia, and supraventricular tachycardia. All data is randomly divided into a training set (80%) and an internal testing set (20%). Apply three machine learning algorithms: decision tree, random forest (RF), and artificial neural network (ANN) to learn the training set to build a model, then use the testing set to evaluate the prediction performance, and compare it with the model built by the Global Registry of Acute Coronary Events (GRACE) risk variable set. Results Three ML models predict the occurrence of tachyarrhythmias after AMI. After variable selection, the artificial neural network (ANN) model has reached the highest accuracy rate, which is better than the model constructed using the Grace variable set. After applying SHapley Additive exPlanations (SHAP) to make the model interpretable, the most important features are abnormal wall motion, lesion location, bundle branch block, age, and heart rate. Among them, RBBB (odds ratio [OR]: 4.21; 95% confidence interval [CI] : 2.42–7.02), ≥ 2 ventricular walls motion abnormal (OR: 3.26; 95% CI: 2.01–4.36) and right coronary artery occlusion (OR: 3.00; 95% CI: 1.98–4.56) are significant factors related to arrhythmia after AMI. Conclusions We used advanced machine learning methods to build prediction models for tachyarrhythmia after AMI for the first time (especially the ANN model that has the best performance). The current study can supplement the current AMI risk score, provide a reliable evaluation method for the clinic, and broaden the new horizons of ML and clinical research. Trial registration Clinical Trial Registry No.: ChiCTR2100041960.
    Type of Medium: Online Resource
    ISSN: 1472-6947
    URL: Article
    DOI: 10.1186/s12911-021-01667-8
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2046490-3
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  • 9
    Online Resource
    Online Resource
    Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions
    Springer Science and Business Media LLC ; 2021
    In:  Genome Biology Vol. 22, No. 1 ( 2021-12)
    Details
    In: Genome Biology, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2021-12)
    Abstract: Targeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing. Results All panels demonstrate high sensitivity across targeted high-confidence coding regions and variant types for the variants previously verified to have variant allele frequency (VAF) in the 5–20% range. Sensitivity is reduced by utilizing VAF thresholds due to inherent variability in VAF measurements. Enforcing a VAF threshold for reporting has a positive impact on reducing false positive calls. Importantly, the false positive rate is found to be significantly higher outside the high-confidence coding regions, resulting in lower reproducibility. Thus, region restriction and VAF thresholds lead to low relative technical variability in estimating promising biomarkers and tumor mutational burden. Conclusion This comprehensive study provides actionable guidelines for oncopanel sequencing and clear evidence that supports a simplified approach to assess the analytical performance of oncopanels. It will facilitate the rapid implementation, validation, and quality control of oncopanels in clinical use.
    Type of Medium: Online Resource
    ISSN: 1474-760X
    URL: Article
    DOI: 10.1186/s13059-021-02315-0
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2040529-7
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  • 10
    Online Resource
    Online Resource
    Clinical characteristics of COVID-19 with cardiac injury: a systematic review and meta-analysis
    Cambridge University Press (CUP) ; 2020
    In:  Epidemiology and Infection Vol. 148 ( 2020)
    Details
    In: Epidemiology and Infection, Cambridge University Press (CUP), Vol. 148 ( 2020)
    Abstract: Cardiac injury is associated with poor prognosis of 2019 novel coronavirus disease 2019 (COVID-19), but the risk factors for cardiac injury have not been fully studied. In this study, we carried out a systematic analysis of clinical characteristics in COVID-19 patients to determine potential risk factors for cardiac injury complicated COVID-19 virus infection. Methods We systematically searched relevant literature published in Pubmed, Embase, Europe PMC, CNKI and other databases. All statistical analyses were performed using STATA 16.0. Results We analysed 5726 confirmed cases from 17 studies. The results indicated that compared with non-cardiac-injured patients, patients with cardiac injury are older, with a greater proportion of male patients, with higher possibilities of existing comorbidities, with higher risks of clinical complications, need for mechanical ventilation, ICU transfer and mortality. Moreover, C-reactive protein, procalcitonin, D-dimer, NT-proBNP and blood creatinine in patients with cardiac injury are also higher while lymphocyte counts and platelet counts decreased. However, we fortuitously found that patients with cardiac injury did not present higher clinical specificity for chest distress ( P = 0.304), chest pain ( P = 0.334), palpitations ( P = 0.793) and smoking ( P = 0.234). Similarly, the risk of concomitant arrhythmia ( P = 0.103) did not increase observably either. Conclusion Age, male gender and comorbidities are risk factors for cardiac injury complicated COVID-19 infection. Such patients are susceptible to complications and usually have abnormal results of laboratory tests, leading to poor outcomes. Contrary to common cardiac diseases, cardiac injury complicated COVID-19 infection did not significantly induce chest distress, chest pain, palpitations or arrhythmias. Our study indicates that early prevention should be applied to COVID-19 patients with cardiac injury to reduce adverse outcomes.
    Type of Medium: Online Resource
    ISSN: 0950-2688 , 1469-4409
    URL: Article
    DOI: 10.1017/S0950268820002587
    RVK:
    XA 41125
    Language: English
    Publisher: Cambridge University Press (CUP)
    Publication Date: 2020
    detail.hit.zdb_id: 1470211-3
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