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  • Wiley  (26)
  • 1
    In: Hematological Oncology, Wiley, Vol. 41, No. 3 ( 2023-08), p. 380-388
    Abstract: Prognostic nutritional index (PNI), comprised of serum albumin level and lymphocyte count, is associated with the prognosis of several malignant diseases, while the prognostic value of PNI in extranodal natural killer/T cell lymphoma, nasal type (ENKTL) remains unclear. This retrospective multicenter study aimed to investigate the value of PNI in predicting the prognosis of newly diagnosed ENKTL patients by using propensity score matched analysis (PSM). A total of 1022 newly diagnosed ENKTL patients were retrieved from Huaihai Lymphoma Working Group and clinicopathological variables were collected. MaxStat analysis was used to calculate the optimal cut‐off points of PNI and other continuous variables. The median age at diagnosis was 47 years and 69.4% were males, with the 5‐year OS of 71.7%. According to the MaxStat analysis, 41 was the optimal cut‐off point for PNI. The Pseudo R 2 before matching was 0.250, and it decreased to less than 0.019 after matching. Confounding factors of the two groups were well balanced after PSM. Multivariable analysis revealed that PNI, Korean Prognostic Index (KPI), eastern cooperative oncology group performance status (ECOG PS), the prognostic index of natural killer lymphoma (PINK) and hemoglobin were independent prognostic factors for ENKTL. The results of subgroup analysis demonstrated that patients with low PNI could predict worse prognosis and re‐stratify patients in ECOG PS ≥ 2, EBER‐positive, the International Prognostic Index (IPI) (HIR + HR), and PINK (HR) groups. PNI combined with IPI, PINK and KPI could improve the prediction efficiency. In conclusion, PNI could accurately stratify the prognosis of ENKTL by PSM analysis and patients with low PNI had poorer prognosis.
    Type of Medium: Online Resource
    ISSN: 0278-0232 , 1099-1069
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2001443-0
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  • 2
    In: Small, Wiley, Vol. 16, No. 27 ( 2020-07)
    Abstract: The global tobacco epidemic is still a devastating threat to public health. Toxic reactive oxygen species (ROS) in the cigarette smoke cannot be efficiently eliminated by currently available cigarette filters. The resultant oxidative stress causes severe lung injury and further diseases. To tackle this challenge, herein, a novel copper tannic acid coordination (CuTA) nanozyme is reported as a highly active and thermostable ROS scavenger. The CuTA nanozyme exhibits intrinsic superoxide dismutase‐like activity, catalase‐like activity, and hydroxyl radical elimination capacity. These synergistic antioxidant abilities make the CuTA nanozyme a promising candidate for the improvement of commercial cigarette filters. Mouse model results show that commercial cigarettes loaded with CuTA nanozyme efficiently scavenge ROS in the cigarette smoke, reduce oxidative stress–induced lung inflammation, and minimize the resultant acute lung injury. The developed CuTA nanozyme offers an efficient ROS scavenger with multiple antioxidant ability and opens up new opportunities for the modification of cigarette filters to reduce the toxic effects of cigarette smoke.
    Type of Medium: Online Resource
    ISSN: 1613-6810 , 1613-6829
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2168935-0
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  • 3
    In: CNS Neuroscience & Therapeutics, Wiley, Vol. 28, No. 5 ( 2022-05), p. 667-676
    Abstract: Subthalamic nucleus deep brain stimulation (STN‐DBS) has been reported to be effective in treating motor symptoms in Parkinson's disease (PD), which may be attributed to changes in the brain network. However, the association between brain morphology and initial STN‐DBS efficacy, as well as the performance of prediction using neuroimaging, has not been well illustrated. Therefore, we aim to investigate these issues. Methods In the present study, 94 PD patients underwent bilateral STN‐DBS, and the initial stimulation efficacy was evaluated. Brain morphology was examined by magnetic resonance imaging (MRI). The volume of tissue activated in the motor STN was measured with MRI and computed tomography. The prediction of stimulation efficacy was achieved with a support vector machine, using brain morphology and other features, after feature selection and hyperparameter optimization. Results A higher stimulation efficacy was correlated with a thicker right precentral cortex. No association with subcortical gray or white matter volumes was observed. These morphological features could estimate the individual stimulation response with an r value of 0.5678, an R 2 of 0.3224, and an average error of 11.4%. The permutation test suggested these predictions were not based on chance. Conclusion Our results indicate that changes in morphology are associated with the initial stimulation motor response and could be used to predict individual initial stimulation‐related motor responses.
    Type of Medium: Online Resource
    ISSN: 1755-5930 , 1755-5949
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2423467-9
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  • 4
    In: CNS Neuroscience & Therapeutics, Wiley, Vol. 27, No. 3 ( 2021-03), p. 341-351
    Abstract: Deep brain stimulation of the anterior nuclei of the thalamus (ANT‐DBS) is effective in temporal lobe epilepsy (TLE). Previous studies have shown that the basal ganglia are involved in seizure propagation in TLE, but the effects of ANT‐DBS on the basal ganglia have not been clarified. Methods ANT‐DBS was applied to monkeys with kainic acid–induced TLE using a robot‐assisted system. Behavior was monitored continuously. Immunofluorescence analysis and Western blotting were used to estimate protein expression levels in the basal ganglia and the effects of ANT stimulation. Results The seizure frequency decreased after ANT‐DBS. D1 and D2 receptor levels in the putamen and caudate were significantly higher in the ANT‐DBS group than in the epilepsy (EP) model. Neuronal loss and apoptosis were less severe in the ANT‐DBS group. Glutamate receptor 1 (GluR1) in the nucleus accumbens (NAc) shell and globus pallidus internus (GPi) increased in the EP group but decreased after ANT‐DBS. γ‐Aminobutyric acid receptor A (GABA A ‐R) decreased and glutamate decarboxylase 67 (GAD67) increased in the GPi of the EP group, whereas the reverse tendencies were observed after ANT‐DBS. Conclusion ANT‐DBS exerts neuroprotective effects on the caudate and putamen, enhances D1 and D2 receptor expression, and downregulates GPi overactivation, which enhanced the antiepileptic function of the basal ganglia.
    Type of Medium: Online Resource
    ISSN: 1755-5930 , 1755-5949
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2423467-9
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  • 5
    In: CNS Neuroscience & Therapeutics, Wiley, Vol. 26, No. 7 ( 2020-07), p. 711-719
    Abstract: Up to 90% of patients with Parkinson's disease (PD) eventually develop the speech and voice disorder referred to as hypokinetic dysarthria (HD). However, the brain morphological changes associated with HD have not been investigated. Moreover, no reliable model for predicting the severity of HD based on neuroimaging has yet been developed. Methods A total of 134 PD patients were included in this study and divided into a training set and a test set. All participants underwent a structural magnetic resonance imaging (MRI) scan and neuropsychological evaluation. Individual cortical thickness, subcortical structure, and white matter volume were extracted, and their association with HD severity was analyzed. After feature selection, a machine‐learning model was established using a support vector machine in the training set. The severity of HD was then predicted in the test set. Results Atrophy of the right precentral cortex and the right fusiform gyrus was significantly associated with HD. No association was found between HD and volume of white matter or subcortical structures. Favorable and optimal performance of machine learning on HD severity prediction was achieved using feature selection, giving a correlation coefficient ( r ) of .7516 and a coefficient of determination ( R 2 ) of .5649 ( P   〈  .001). Conclusion The brain morphological changes were associated with HD. Excellent prediction of the severity of HD was achieved using machine learning based on neuroimaging.
    Type of Medium: Online Resource
    ISSN: 1755-5930 , 1755-5949
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2423467-9
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  • 6
    In: CNS Neuroscience & Therapeutics, Wiley, Vol. 29, No. 7 ( 2023-07), p. 1999-2009
    Abstract: Patients with Parkinson's disease (PD) have various motor difficulties, including standing up, gait initiation and freezing of gait. These abnormalities are associated with cortico‐subthalamic dysfunction. We aimed to reveal the characteristics of cortico‐subthalamic activity in PD patients during different motor statuses. Methods Potentials were recorded in the superior parietal lobule (SPL), the primary motor cortex (M1), premotor cortex (PMC), and the bilateral subthalamic nucleus (STN) in 18 freely walking patients while sitting, standing, walking, dual‐task walking, and freezing in medication “off” (Moff) and “on” (Mon) states. Different motor status activities were compared in band power, and a machine learning classifier was used to differentiate the motor statuses. Results SPL beta power was specifically inhibited from standing to walking, and negatively correlated with walking speed; M1 beta power reflected the degree of rigidity and was reversed by medication; XGBoost algorithm classified the five motor statuses with acceptable accuracy (68.77% in Moff, 60.58% in Mon). SPL beta power ranked highest in feature importance in both Moff and Mon states. Conclusion SPL beta power plays an essential role in walking status classification and could be a physiological biomarker for walking speed, which would aid the development of adaptive DBS.
    Type of Medium: Online Resource
    ISSN: 1755-5930 , 1755-5949
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2423467-9
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  • 7
    In: The Clinical Respiratory Journal, Wiley, Vol. 16, No. 12 ( 2022-12), p. 793-801
    Abstract: Pulmonary infections are frequent in immunocompromised hosts (ICH), and microbial detection is difficult. As a new method, next‐generation sequencing (NGS) may offer a solution. Objectives This study aimed to assess the impact of NGS‐assisted pathogenic detection on the diagnosis, treatment, and outcomes of ICH complicated by pulmonary infection and radiographic evidence of bilateral diffuse lesions. Methods This study enrolled 356 patients with ICH complicated by pulmonary infection that were admitted to Zhongshan Hospital, Fudan University, from November 17, 2017, to November 23, 2018, including 102 and 254 in the NGS and non‐NGS groups, respectively. Clinical characteristics, detection time, rough positive rate, effective positive rate, impact on anti‐infective treatment plan, 30‐day/60‐day mortality, and in‐hospital mortality were compared. Results NGS‐assisted pathogenic detection reduced detection time (28.2 h [interquartile range (IQR) 25.9–29.83 h] vs. 50.50 h [IQR 47.90–90.91 h] , P   〈  0.001), increased positive rate, rate of mixed infection detected, effective positive rate, and proportion of antibiotic treatment modification (45.28% vs. 89.22%, 4.72% vs. 51.96%, 21.65% vs. 64.71%, 16.54% vs. 46.08%, P   〈  0.001). The NGS group had a significantly lower 60‐day mortality rate (18.63% vs. 33.07%, P  = 0.007). The difference in the Kaplan–Meier survival curve was significant ( P  = 0.029). After multivariate logistic regression, NGS‐assisted pathogenic detection remained a significant predictor of survival (OR 0.189, confidence interval [CI], 0.068–0.526). Conclusion NGS‐assisted pathogenic detection may improve detection efficiency and is associated with better clinical outcomes in these patients.
    Type of Medium: Online Resource
    ISSN: 1752-6981 , 1752-699X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2442214-9
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  • 8
    In: Advanced Functional Materials, Wiley, Vol. 32, No. 52 ( 2022-12)
    Abstract: The pursuit of high‐performance and integrated perovskite optoelectronic devices drives the development of efficient methods to pattern perovskite single crystals (PSCs). However, due to stochastic and multiple nucleation, PSCs obtained from traditional patterning methods still suffer from heterogeneous morphology and low crystallinity, resulting in unwanted large variation in the device performance. Herein, an effective and universal strategy is reported for the large‐scale patterned growth of high‐quality perovskite single‐crystal microplates with uniform size and thickness. By modulating the wettability of gold nanoparticles, nucleation energetic barriers are subtly regulated and thus intractably random and multiple nucleation are fundamentally suppressed, enabling the formation of homogeneous perovskite microplates with exceptional properties in terms of ultralow surface defect density (6.1 × 10 7  cm −2 ) and high carrier mobility (176 cm 2  V −1  s −1 ). In consequence, the photodetector array based on the patterned perovskite microplates exhibits a large photoresponsivity up to 615 A W −1 , along with a low photocurrent variable coefficient 〈 5.2%, which enables the realization of ultrasensitive and high‐contrast imaging functions. This patterning technique constitutes a major step toward the deployment of PSCs in integrated optoelectronic devices.
    Type of Medium: Online Resource
    ISSN: 1616-301X , 1616-3028
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2029061-5
    detail.hit.zdb_id: 2039420-2
    SSG: 11
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  • 9
    In: ChemInform, Wiley, Vol. 42, No. 23 ( 2011-06-07), p. no-no
    Type of Medium: Online Resource
    ISSN: 0931-7597
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2011
    detail.hit.zdb_id: 2110203-X
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  • 10
    In: Angewandte Chemie, Wiley, Vol. 131, No. 33 ( 2019-08-12), p. 11651-11657
    Abstract: Efficient electro‐oxidation of formic acid, methanol, and ethanol is challenging owing to the multiple chemical reaction steps required to accomplish full oxidation to CO 2 . Herein, a ternary CoPtAu nanoparticle catalyst system is reported in which Co and Pt form an intermetallic L1 0 ‐structure and Au segregates on the surface to alloy with Pt. The L1 0 ‐structure stabilizes Co and significantly enhances the catalysis of the PtAu surface towards electro‐oxidation of ethanol, methanol, and formic acid, with mass activities of 1.55 A/mg Pt , 1.49 A/mg Pt , and 11.97 A/mg Pt , respectively in 0.1  m HClO 4 . The L1 0 ‐CoPtAu catalyst is also stable, with negligible degradation in mass activities and no obvious Co/Pt/Au composition changes after 10 000 potential cycles. The in situ surface‐enhanced infrared absorption spectroscopy study indicates that the ternary catalyst activates the C−C bond more efficiently for ethanol oxidation.
    Type of Medium: Online Resource
    ISSN: 0044-8249 , 1521-3757
    URL: Issue
    RVK:
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2019
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    detail.hit.zdb_id: 506609-8
    detail.hit.zdb_id: 514305-6
    detail.hit.zdb_id: 505872-7
    detail.hit.zdb_id: 1479266-7
    detail.hit.zdb_id: 505867-3
    detail.hit.zdb_id: 506259-7
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